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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32df546b30981109f660a35bedf6d89f5a13ccd0 | 24,508 | py | Python | tests/test_ticket.py | hebersonaguiar/zabbixotrs | 3d966b9eddc352ed532ef10d0b589d02f5cb783e | [
"MIT"
] | null | null | null | tests/test_ticket.py | hebersonaguiar/zabbixotrs | 3d966b9eddc352ed532ef10d0b589d02f5cb783e | [
"MIT"
] | 3 | 2020-03-24T16:51:09.000Z | 2021-06-01T23:33:23.000Z | tests/test_ticket.py | hebersonaguiar/zabbixotrs | 3d966b9eddc352ed532ef10d0b589d02f5cb783e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals # support both Python2 and 3
""" test_ticket.py
Test for PyOTRS Ticket class
"""
# make sure (early) that parent dir (main app) is in path
import unittest2 as unittest
# from mock import MagicMock, patch
from datetime import datetime
from pyotrs.lib import Ticket # noqa
from pyotrs.lib import DynamicField # noqa
from pyotrs.lib import Article # noqa
from pyotrs.lib import ArgumentMissingError, ArgumentInvalidError # noqa
# noinspection PyCompatibility
class TicketTests(unittest.TestCase):
def test_init(self):
tic = Ticket(dct={'Title': 'foo'})
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_init_nested_dct(self):
tic = Ticket(dct={'Title': 'foo',
'SomeField': 'SomeValue',
'SomeDict': {'NestedDictField1': "Value1",
'NestedDictField2': "Value2"}})
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_init_parse_from_dct(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
self.assertEqual(tic.articles[0].__repr__(), "<ArticleID: 30 (1 Attachment)>")
def test_dynamic_field_get_none(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertIsNone(tic.dynamic_field_get("rgiosregoisrengi"))
def test_dynamic_field_get_success(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertIsInstance(tic.dynamic_field_get("firstname"), DynamicField)
self.assertEqual(tic.dynamic_field_get("firstname").value, 'Jane')
self.assertEqual(tic.field_get("Title"), 'Baesic Ticket')
def test_article_get_none(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertIsNone(tic.article_get("666"))
def test_article_get_str_success(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertIsInstance(tic.article_get("30"), Article)
self.assertEqual(tic.article_get("30").field_get("ArticleType"), 'webrequest')
def test_article_get_int_success(self):
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertIsInstance(tic, Ticket)
self.assertIsInstance(tic.article_get(30), Article)
self.assertEqual(tic.article_get(30).field_get("ArticleType"), 'webrequest')
def test_create_basic_no_title(self):
self.assertRaisesRegex(ArgumentMissingError, 'Title is required', Ticket.create_basic)
def test_create_basic_title_no_queue(self):
self.assertRaisesRegex(ArgumentMissingError,
'Either Queue or QueueID required',
Ticket.create_basic,
Title='foobar')
def test_create_basic_title_queue_no_state1(self):
self.assertRaisesRegex(ArgumentMissingError,
'Either State or StateID required',
Ticket.create_basic,
Title='foobar',
Queue='some_queue')
def test_create_basic_title_queue_no_state2(self):
self.assertRaisesRegex(ArgumentMissingError,
'Either State or StateID required',
Ticket.create_basic,
Title='foobar',
QueueID='1')
def test_create_basic_title_queue_state_no_prio1(self):
self.assertRaisesRegex(ArgumentMissingError,
'Either Priority or PriorityID required',
Ticket.create_basic,
Title='foobar',
Queue='some_queue',
State='open')
def test_create_basic_title_queue_state_no_prio2(self):
self.assertRaisesRegex(ArgumentMissingError,
'Either Priority or PriorityID required',
Ticket.create_basic,
Title='foobar',
QueueID='1',
StateID='2')
def test_create_basic_title_queue_state_prio_no_customer1(self):
self.assertRaisesRegex(ArgumentMissingError,
'CustomerUser is required',
Ticket.create_basic,
Title='foobar',
Queue='raw',
StateID='2',
Priority='average')
def test_create_basic_title_queue_state_prio_no_customer2(self):
self.assertRaisesRegex(ArgumentMissingError,
'CustomerUser is required',
Ticket.create_basic,
Title='foobar',
QueueID='1',
State='open',
PriorityID='average')
def test_create_basic_title_both_type_and_typeid(self):
self.assertRaisesRegex(ArgumentInvalidError,
'Either Type or TypeID - not both',
Ticket.create_basic,
Title='foobar',
QueueID='1',
State='open',
PriorityID='average',
CustomerUser='root@localhost',
Type='barfoo',
TypeID='2')
def test_create_basic_title_queue_state_prio_customer_one(self):
tic = Ticket.create_basic(Title='foobar',
QueueID='1',
Type='barfoo',
State='open',
PriorityID='average',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_create_basic_title_queue_state_prio_customer_two(self):
tic = Ticket.create_basic(Title='foobar',
Queue='raw',
TypeID='2',
State='open',
PriorityID='5',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_create_basic_title_queue_state_prio_customer_three(self):
tic = Ticket.create_basic(Title='foobar',
Queue='raw',
StateID='4',
PriorityID='3',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_create_basic_title_queue_state_prio_customer_four(self):
tic = Ticket.create_basic(Title='foobar',
Queue='raw',
StateID='4',
Priority='average',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
self.assertEqual(tic.__repr__(), '<Ticket>')
def test_create_basic_title_queue_state_prio_customer_five(self):
tic = Ticket.create_basic(Title='foobar',
Queue='raw',
StateID='4',
Priority='average',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
tic.tid = '5'
self.assertEqual(tic.__repr__(), '<Ticket: 5>')
def test_create_basic_title_queue_state_prio_customer_to_dct(self):
tic = Ticket.create_basic(Title='foobar',
QueueID='1',
State='open',
PriorityID='5',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
self.assertDictEqual(tic.to_dct(),
{'Ticket': {'Title': 'foobar',
'QueueID': '1',
'State': 'open',
'PriorityID': '5',
'CustomerUser': 'root@localhost'}})
def test_pending_text(self):
tic = Ticket.create_basic(Title='foobar',
QueueID='1',
State='open',
PriorityID='5',
CustomerUser='root@localhost')
self.assertDictEqual(tic.datetime_to_pending_time_text(datetime(1, 2, 3, 4, 5)),
{'Day': 3,
'Hour': 4,
'Minute': 5,
'Month': 2,
'Year': 1})
def test_ticket_to_dct_no_articles_dynamic_fields(self):
tic = Ticket.create_basic(Title='foobar',
QueueID='1',
State='open',
PriorityID='5',
CustomerUser='root@localhost')
self.assertIsInstance(tic, Ticket)
delattr(tic, 'articles')
delattr(tic, 'dynamic_fields')
self.assertDictEqual(tic.to_dct(),
{'Ticket': {'Title': 'foobar',
'QueueID': '1',
'State': 'open',
'PriorityID': '5',
'CustomerUser': 'root@localhost'}})
def test_to_dct_full(self):
self.maxDiff = None
tic_dct = {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}
tic = Ticket(tic_dct)
self.assertDictEqual(tic.to_dct(),
{'Ticket': {
'TypeID': '1',
'Title': 'Baesic Ticket',
'Article': [{
'Age': 82383,
'AgeTimeUnix': 82383,
'ArticleID': '30',
'ArticleType': 'webrequest',
'ArticleTypeID': '8',
'Attachment': [
{
'Content': 'mFyC',
'ContentAlternative': '',
'ContentID': '',
'ContentType': 'text/plain',
'Disposition': 'attachment',
'Filename': 'foo.txt',
'Filesize': '3 Bytes',
'FilesizeRaw': '3'
}
],
'Body': 'Hallo Bjørn,\n[kt]\n\n -- The End',
'Cc': '',
'CustomerID': None,
'CustomerUserID': None,
'EscalationResponseTime': '0',
'EscalationSolutionTime': '0'
}],
'DynamicField': [
{
'Name': 'ProcessManagementActivityID',
'Value': None
},
{
'Name': 'ProcessManagementProcessID',
'Value': None
},
{
'Name': 'firstname',
'Value': 'Jane'
},
{
'Name': 'lastname',
'Value': 'Doe'
}
],
}})
def test_dummy(self):
tic = Ticket._dummy()
self.assertDictEqual(tic.to_dct(),
{'Ticket': {'Queue': u'Raw',
'State': u'open',
'Priority': u'3 normal',
'CustomerUser': 'root@localhost',
'Title': 'Bäsic Ticket'}})
def main():
unittest.main()
if __name__ == '__main__':
main()
# EOF
| 38.778481 | 94 | 0.372939 | 1,482 | 24,508 | 5.995951 | 0.123482 | 0.033423 | 0.054018 | 0.039613 | 0.847625 | 0.81499 | 0.795183 | 0.78348 | 0.772113 | 0.737452 | 0 | 0.017812 | 0.518933 | 24,508 | 631 | 95 | 38.839937 | 0.735878 | 0.007793 | 0 | 0.696398 | 0 | 0 | 0.200668 | 0.031995 | 0 | 0 | 0 | 0 | 0.080618 | 1 | 0.048027 | false | 0 | 0.012007 | 0 | 0.06175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
32ed5dec6151e1771cced123ea5e29b7d59ed97f | 202 | py | Python | build/lib/DST/__init__.py | DunZhang/DomainSpecificThesaurus | 539dcdbe618ade1864e56423667f28afb800e1e1 | [
"MIT"
] | 13 | 2019-02-21T23:16:55.000Z | 2022-03-03T16:27:24.000Z | DST/__init__.py | EzioQR/DomainSpecificThesaurus | a7233b039e8e0d1250b9fc1ebe147deb02efb502 | [
"MIT"
] | 3 | 2021-04-28T11:49:20.000Z | 2022-02-25T17:31:06.000Z | DST/__init__.py | EzioQR/DomainSpecificThesaurus | a7233b039e8e0d1250b9fc1ebe147deb02efb502 | [
"MIT"
] | 6 | 2019-02-23T16:01:36.000Z | 2021-09-05T10:27:54.000Z | from . import datasets
from . import domain_term
from . import domain_thesaurus
from . import phrase_detection
from . import semantic_related_word
from . import utils
from . import word_discrimination
| 22.444444 | 35 | 0.821782 | 27 | 202 | 5.925926 | 0.481481 | 0.4375 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143564 | 202 | 8 | 36 | 25.25 | 0.924855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
fd55e17bdc9a7a39cf7862758e824697a4c6e32c | 159 | py | Python | server.py | zmirzaa/deployFlask | 2194becde070174d96972fe24667fafb733a568c | [
"MIT"
] | null | null | null | server.py | zmirzaa/deployFlask | 2194becde070174d96972fe24667fafb733a568c | [
"MIT"
] | null | null | null | server.py | zmirzaa/deployFlask | 2194becde070174d96972fe24667fafb733a568c | [
"MIT"
] | null | null | null | from flask_app import app
from flask_app.controllers import users
from flask_app.controllers import recipes
if __name__ == "__main__":
app.run(debug=True) | 26.5 | 41 | 0.798742 | 24 | 159 | 4.833333 | 0.541667 | 0.232759 | 0.310345 | 0.396552 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132075 | 159 | 6 | 42 | 26.5 | 0.84058 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 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 |
b5da8865336a55b479df6a4fe92cee6710c56757 | 94 | py | Python | src/crBootstrapSal/crExceptionSal.py | mhtvsSFrpHdE/chm-rebirth | f1803efe1326c7815c219717caa12cb6be95f6e4 | [
"MIT"
] | 2 | 2020-03-27T13:50:47.000Z | 2020-07-02T11:34:26.000Z | src/crBootstrapSal/crExceptionSal.py | mhtvsSFrpHdE/chm-rebirth | f1803efe1326c7815c219717caa12cb6be95f6e4 | [
"MIT"
] | null | null | null | src/crBootstrapSal/crExceptionSal.py | mhtvsSFrpHdE/chm-rebirth | f1803efe1326c7815c219717caa12cb6be95f6e4 | [
"MIT"
] | 2 | 2020-03-24T11:39:48.000Z | 2020-03-27T13:50:52.000Z | from crException import *
class CrObjectTagNotFoundInCatalogChmError(CrBaseError):
pass
| 15.666667 | 56 | 0.819149 | 7 | 94 | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138298 | 94 | 5 | 57 | 18.8 | 0.950617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
bd54d44905b7cd47b1ae5d66257a2a804a1726ed | 37,413 | py | Python | fatiando/gravmag/sphere.py | silky/fatiando | 5041c6b29758a5e73e9d7b2b906fa5e493fd9aba | [
"BSD-3-Clause"
] | 1 | 2019-06-27T11:32:56.000Z | 2019-06-27T11:32:56.000Z | fatiando/gravmag/sphere.py | silky/fatiando | 5041c6b29758a5e73e9d7b2b906fa5e493fd9aba | [
"BSD-3-Clause"
] | null | null | null | fatiando/gravmag/sphere.py | silky/fatiando | 5041c6b29758a5e73e9d7b2b906fa5e493fd9aba | [
"BSD-3-Clause"
] | null | null | null | r"""
Calculate the potential fields of a homogeneous sphere.
**Magnetic**
Calculates the magnetic effect produced by an sphere. The functions are
based on Blakely (1995).
* :func:`~fatiando.gravmag.sphere.tf`: calculates the total-field anomaly
* :func:`~fatiando.gravmag.sphere.bx`: calculates the x component of the
induction
* :func:`~fatiando.gravmag.sphere.by`: calculates the y component of the
induction
* :func:`~fatiando.gravmag.sphere.bz`: calculates the z component of the
induction
Remember that:
The magnetization :math:`\mathbf{M}` and the dipole moment :math:`\mathbf{m}`
are related with the volume V:
.. math::
\mathbf{M} = \dfrac{\mathbf{m}}{V}.
The total-field anomaly is:
.. math::
\Delta T = |\mathbf{T}| - |\mathbf{F}|,
where :math:`\mathbf{T}` is the measured field and :math:`\mathbf{F}` is a
reference (regional) field. The forward modeling functions
:func:`~fatiando.gravmag.sphere.bx`, :func:`~fatiando.gravmag.sphere.by`,
and :func:`~fatiando.gravmag.sphere.bz` calculate the 3 components of the
field perturbation :math:`\Delta\mathbf{F}`
.. math::
\Delta\mathbf{F} = \mathbf{T} - \mathbf{F}.
Then the total-field anomaly caused by the sphere is
.. math::
\Delta T \approx \hat{\mathbf{F}}\cdot\Delta\mathbf{F}.
**Gravity**
Calculates the gravitational acceleration and gravity gradient tensor
components.
* :func:`~fatiando.gravmag.sphere.gz`
* :func:`~fatiando.gravmag.sphere.gxx`
* :func:`~fatiando.gravmag.sphere.gxy`
* :func:`~fatiando.gravmag.sphere.gxz`
* :func:`~fatiando.gravmag.sphere.gyy`
* :func:`~fatiando.gravmag.sphere.gyz`
* :func:`~fatiando.gravmag.sphere.gzz`
**Auxiliary Functions**
Calculates the second derivatives of the function
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
with respect to the variables :math:`x`, :math:`y`, and :math:`z`. In
this equation,
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2},
and :math:`R` is the radius of a sphere with centre at the Cartesian
coordinates :math:`\nu`, :math:`\eta` and :math:`\zeta`.
These second derivatives are used to calculate the total field magnetic anomaly
and the gravity gradient tensor components.
* :func:`~fatiando.gravmag.sphere.kernelxx`
* :func:`~fatiando.gravmag.sphere.kernelxy`
* :func:`~fatiando.gravmag.sphere.kernelxz`
* :func:`~fatiando.gravmag.sphere.kernelyy`
* :func:`~fatiando.gravmag.sphere.kernelyz`
* :func:`~fatiando.gravmag.sphere.kernelzz`
**References**
Blakely, R. J. (1995), Potential Theory in Gravity and Magnetic Applications,
Cambridge University Press.
----
"""
from __future__ import division
import numpy
from ..constants import SI2MGAL, G, CM, T2NT, SI2EOTVOS
from .. import utils
try:
from . import _sphere
except ImportError:
_sphere = None
def tf(xp, yp, zp, spheres, inc, dec, pmag=None):
"""
Calculate the total-field anomaly of spheres.
.. note:: Input units are SI. Output is in nT
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the anomaly will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the physical property
``'magnetization'``. Spheres without ``'magnetization'`` will be
ignored.
* inc : float
The inclination of the regional field (in degrees)
* dec : float
The declination of the regional field (in degrees)
* pmag : [mx, my, mz] or None
A magnetization vector. If not None, will use this value instead of the
``'magnetization'`` property of the spheres. Use this, e.g., for
sensitivity matrix building.
Returns:
* tf : array
The total-field anomaly
Example:
>>> from fatiando import mesher, gridder, utils
>>> # Set the inclination and declination of the regional field
>>> inc, dec = -30, 45
>>> # Create a sphere model
>>> model = [
... # One with induced magnetization
... mesher.Sphere(1000, 1000, 600, 500, {'magnetization':5}),
... # and one with remanent
... mesher.Sphere(-1000, -1000, 600, 500,
... {'magnetization':utils.ang2vec(10, 70, -5)})]
>>> # Create a regular grid at 100m height
>>> shape = (4, 4)
>>> area = (-3000, 3000, -3000, 3000)
>>> xp, yp, zp = gridder.regular(area, shape, z=-100)
>>> # Calculate the anomaly for a given regional field
>>> for t in tf(xp, yp, zp, model, inc, dec):
... print '%15.8e' % t
2.72951375e+01
3.63637351e+01
5.35842876e+00
6.65189557e-02
6.01998831e+01
-1.71920499e+03
3.30025228e+00
-5.13176612e+00
1.47871812e+00
-3.96103758e+01
-1.85654021e+02
2.18002960e+01
-2.82713826e+00
-1.10341542e+01
1.93353982e+01
2.03174254e+01
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
size = len(xp)
res = numpy.zeros(size, dtype=numpy.float)
# Calculate the 3 components of the unit vector in the direction of the
# regional field
fx, fy, fz = utils.dircos(inc, dec)
if pmag is not None:
if isinstance(pmag, float) or isinstance(pmag, int):
pmx, pmy, pmz = pmag * fx, pmag * fy, pmag * fz
else:
pmx, pmy, pmz = pmag
for sphere in spheres:
if sphere is None or ('magnetization' not in sphere.props
and pmag is None):
continue
# Get the intensity and unit vector from the magnetization
if pmag is None:
mag = sphere.props['magnetization']
if isinstance(mag, float) or isinstance(mag, int):
mx, my, mz = mag * fx, mag * fy, mag * fz
else:
mx, my, mz = mag
else:
mx, my, mz = pmx, pmy, pmz
_sphere.tf(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
mx, my, mz, fx, fy, fz, res)
res *= CM * T2NT
return res
def bx(xp, yp, zp, spheres):
"""
Calculates the x component of the magnetic induction produced by spheres.
.. note:: Input units are SI. Output is in nT
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the anomaly will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the physical property
``'magnetization'``. Spheres without ``'magnetization'`` will be
ignored. The ``'magnetization'`` must be a vector.
Returns:
* bx: array
The x component of the magnetic induction
Example:
>>> from fatiando import mesher, gridder, utils
>>> # Create a model formed by two spheres
>>> # The magnetization of each sphere is a vector
>>> model = [
... mesher.Sphere(1000, 1000, 600, 500,
... {'magnetization':utils.ang2vec(13, -10, 28)}),
... mesher.Sphere(-1000, -1000, 600, 500,
... {'magnetization':utils.ang2vec(10, 70, -5)})]
>>> # Create a regular grid at 100m height
>>> shape = (4, 4)
>>> area = (-3000, 3000, -3000, 3000)
>>> xp, yp, zp = gridder.regular(area, shape, z=-100)
>>> # Calculate the bx component
>>> for b in bx(xp, yp, zp, model):
... print '%15.8e' % b
1.58002397e+01
-1.76820799e+01
-1.48049248e+01
-5.75238567e+00
9.17572697e+01
-4.94607307e+02
-7.92213872e+01
-4.37781621e+00
2.97032297e+01
7.36803996e+01
-1.73332620e+03
1.15884125e+02
4.55847152e+00
-1.31173236e+01
-6.42912671e+01
2.98847909e+01
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
size = len(xp)
res = numpy.zeros(size, dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('magnetization' not in sphere.props):
continue
# Get the magnetization vector components
mx, my, mz = sphere.props['magnetization']
_sphere.bx(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
mx, my, mz, res)
res *= CM * T2NT
return res
def by(xp, yp, zp, spheres):
"""
Calculates the y component of the magnetic induction produced by spheres.
.. note:: Input units are SI. Output is in nT
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the anomaly will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the physical property
``'magnetization'``. Spheres without ``'magnetization'`` will be
ignored. The ``'magnetization'`` must be a vector.
Returns:
* by: array
The y component of the magnetic induction
Example:
>>> from fatiando import mesher, gridder, utils
>>> # Create a model formed by two spheres
>>> # The magnetization of each sphere is a vector
>>> model = [
... mesher.Sphere(1000, 1000, 600, 500,
... {'magnetization':utils.ang2vec(13, -10, 28)}),
... mesher.Sphere(-1000, -1000, 600, 500,
... {'magnetization':utils.ang2vec(10, 70, -5)})]
>>> # Create a regular grid at 100m height
>>> shape = (4, 4)
>>> area = (-3000, 3000, -3000, 3000)
>>> xp, yp, zp = gridder.regular(area, shape, z=-100)
>>> # Calculate the by component
>>> for b in by(xp, yp, zp, model):
... print '%15.8e' % b
2.51394441e+01
5.71383698e+01
7.46666729e+00
-4.53730551e+00
7.44792258e+00
8.22174414e+01
4.53451310e+01
-3.06885735e+01
-2.49929765e+01
-8.41961087e+01
-9.17412395e+02
-3.18422413e+01
-1.32728556e+01
-3.03825859e+01
6.67990083e+01
4.21366247e+01
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
size = len(xp)
res = numpy.zeros(size, dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('magnetization' not in sphere.props):
continue
# Get the magnetization vector components
mx, my, mz = sphere.props['magnetization']
_sphere.by(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
mx, my, mz, res)
res *= CM * T2NT
return res
def bz(xp, yp, zp, spheres):
"""
Calculates the z component of the magnetic induction produced by spheres.
.. note:: Input units are SI. Output is in nT
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the anomaly will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the physical property
``'magnetization'``. Spheres without ``'magnetization'`` will be
ignored. The ``'magnetization'`` must be a vector.
Returns:
* bz: array
The z component of the magnetic induction
Example:
>>> from fatiando import mesher, gridder, utils
>>> # Create a model formed by two spheres
>>> # The magnetization of each sphere is a vector
>>> model = [
... mesher.Sphere(1000, 1000, 600, 500,
... {'magnetization':utils.ang2vec(13, -10, 28)}),
... mesher.Sphere(-1000, -1000, 600, 500,
... {'magnetization':utils.ang2vec(10, 70, -5)})]
>>> # Create a regular grid at 100m height
>>> shape = (4, 4)
>>> area = (-3000, 3000, -3000, 3000)
>>> xp, yp, zp = gridder.regular(area, shape, z=-100)
>>> # Calculate the bz component
>>> for b in bz(xp, yp, zp, model):
... print '%15.8e' % b
-1.13152279e+01
-3.24362266e+01
-1.63235805e+01
-4.48136597e+00
-1.27492012e+01
2.89101261e+03
-1.30263918e+01
-9.64182996e+00
-6.45566985e+00
3.32987598e+01
-7.08905624e+02
-5.55139945e+01
-1.35745203e+00
2.91949888e+00
-2.78345635e+01
-1.69425703e+01
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
size = len(xp)
res = numpy.zeros(size, dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('magnetization' not in sphere.props):
continue
# Get the magnetization vector components
mx, my, mz = sphere.props['magnetization']
_sphere.bz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
mx, my, mz, res)
res *= CM * T2NT
return res
def gz(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_z` gravity acceleration component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in mGal!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2MGAL
return res
def gxx(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{xx}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> for g in gxx(xp, yp, zp, sphere):
... print '%15.8e' % g
1.71893959e-06
-6.02473678e-06
-6.02473678e-06
1.71893959e-06
1.39192195e-05
2.76067131e-05
2.76067131e-05
1.39192195e-05
1.39192195e-05
2.76067131e-05
2.76067131e-05
1.39192195e-05
1.71893959e-06
-6.02473678e-06
-6.02473678e-06
1.71893959e-06
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gxx(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def gxy(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{xy}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the gxy component
>>> for g in gxy(xp, yp, zp, sphere):
... print '%15.8e' % g
5.30415646e-06
7.47898359e-06
-7.47898359e-06
-5.30415646e-06
7.47898359e-06
1.10426852e-04
-1.10426852e-04
-7.47898359e-06
-7.47898359e-06
-1.10426852e-04
1.10426852e-04
7.47898359e-06
-5.30415646e-06
-7.47898359e-06
7.47898359e-06
5.30415646e-06
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gxy(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def gxz(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{xz}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the gxz component
>>> for g in gxz(xp, yp, zp, sphere):
... print '%15.8e' % g
8.84026077e-07
1.24649726e-06
-1.24649726e-06
-8.84026077e-07
3.73949179e-06
5.52134262e-05
-5.52134262e-05
-3.73949179e-06
3.73949179e-06
5.52134262e-05
-5.52134262e-05
-3.73949179e-06
8.84026077e-07
1.24649726e-06
-1.24649726e-06
-8.84026077e-07
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gxz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def gyy(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{yy}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the gyy component
>>> for g in gyy(xp, yp, zp, sphere):
... print '%15.8e' % g
1.71893959e-06
1.39192195e-05
1.39192195e-05
1.71893959e-06
-6.02473678e-06
2.76067131e-05
2.76067131e-05
-6.02473678e-06
-6.02473678e-06
2.76067131e-05
2.76067131e-05
-6.02473678e-06
1.71893959e-06
1.39192195e-05
1.39192195e-05
1.71893959e-06
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gyy(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def gyz(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{yz}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the gyz component
>>> for g in gyz(xp, yp, zp, sphere):
... print '%15.8e' % g
8.84026077e-07
3.73949179e-06
3.73949179e-06
8.84026077e-07
1.24649726e-06
5.52134262e-05
5.52134262e-05
1.24649726e-06
-1.24649726e-06
-5.52134262e-05
-5.52134262e-05
-1.24649726e-06
-8.84026077e-07
-3.73949179e-06
-3.73949179e-06
-8.84026077e-07
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gyz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def gzz(xp, yp, zp, spheres, dens=None):
"""
Calculates the :math:`g_{zz}` gravity gradient component.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input values in SI and output in Eotvos!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the field will be calculated
* spheres : list of :class:`fatiando.mesher.Sphere`
The spheres. Spheres must have the property ``'density'``. Those
without will be ignored.
* dens : float or None
If not None, will use this value instead of the ``'density'`` property
of the spheres. Use this, e.g., for sensitivity matrix building.
Returns:
* res : array
The field calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = [mesher.Sphere(0, 0, 5, 1, {'density':1.})]
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the gzz component
>>> for g in gzz(xp, yp, zp, sphere):
... print '%15.8e' % g
-3.43787919e-06
-7.89448267e-06
-7.89448267e-06
-3.43787919e-06
-7.89448267e-06
-5.52134262e-05
-5.52134262e-05
-7.89448267e-06
-7.89448267e-06
-5.52134262e-05
-5.52134262e-05
-7.89448267e-06
-3.43787919e-06
-7.89448267e-06
-7.89448267e-06
-3.43787919e-06
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
for sphere in spheres:
if sphere is None or ('density' not in sphere.props and dens is None):
continue
if dens is None:
density = sphere.props['density']
else:
density = dens
_sphere.gzz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius,
density, res)
res *= G * SI2EOTVOS
return res
def kernelxx(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial x^2},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kxx = kernelxx(xp, yp, zp, sphere)
>>> for k in kxx:
... print '%15.8e' % k
2.57596223e-05
-9.02852807e-05
-9.02852807e-05
2.57596223e-05
2.08590131e-04
4.13707675e-04
4.13707675e-04
2.08590131e-04
2.08590131e-04
4.13707675e-04
4.13707675e-04
2.08590131e-04
2.57596223e-05
-9.02852807e-05
-9.02852807e-05
2.57596223e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gxx(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
def kernelxy(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial x \partial y},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kxy = kernelxy(xp, yp, zp, sphere)
>>> for k in kxy:
... print '%15.8e' % k
7.94868344e-05
1.12078279e-04
-1.12078279e-04
-7.94868344e-05
1.12078279e-04
1.65483070e-03
-1.65483070e-03
-1.12078279e-04
-1.12078279e-04
-1.65483070e-03
1.65483070e-03
1.12078279e-04
-7.94868344e-05
-1.12078279e-04
1.12078279e-04
7.94868344e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gxy(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
def kernelxz(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial x \partial z},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kxz = kernelxz(xp, yp, zp, sphere)
>>> for k in kxz:
... print '%15.8e' % k
1.32478057e-05
1.86797132e-05
-1.86797132e-05
-1.32478057e-05
5.60391397e-05
8.27415349e-04
-8.27415349e-04
-5.60391397e-05
5.60391397e-05
8.27415349e-04
-8.27415349e-04
-5.60391397e-05
1.32478057e-05
1.86797132e-05
-1.86797132e-05
-1.32478057e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gxz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
def kernelyy(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial y^2},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kyy = kernelyy(xp, yp, zp, sphere)
>>> for k in kyy:
... print '%15.8e' % k
2.57596223e-05
2.08590131e-04
2.08590131e-04
2.57596223e-05
-9.02852807e-05
4.13707675e-04
4.13707675e-04
-9.02852807e-05
-9.02852807e-05
4.13707675e-04
4.13707675e-04
-9.02852807e-05
2.57596223e-05
2.08590131e-04
2.08590131e-04
2.57596223e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gyy(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
def kernelyz(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial y \partial z},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kyz = kernelyz(xp, yp, zp, sphere)
>>> for k in kyz:
... print '%15.8e' % k
1.32478057e-05
5.60391397e-05
5.60391397e-05
1.32478057e-05
1.86797132e-05
8.27415349e-04
8.27415349e-04
1.86797132e-05
-1.86797132e-05
-8.27415349e-04
-8.27415349e-04
-1.86797132e-05
-1.32478057e-05
-5.60391397e-05
-5.60391397e-05
-1.32478057e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gyz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
def kernelzz(xp, yp, zp, sphere):
r"""
Calculates the function
.. math::
\frac{\partial^2 \phi(x,y,z)}{\partial z^2},
where
.. math::
\phi(x,y,z) = \frac{4}{3} \pi R^3 \frac{1}{r}
and
.. math::
r = \sqrt{(x - \nu)^2 + (y - \eta)^2 + (z - \zeta)^2}.
.. note:: The coordinate system of the input parameters is to be
x -> North, y -> East and z -> Down.
.. note:: All input and output values in SI!
Parameters:
* xp, yp, zp : arrays
The x, y, and z coordinates where the function will be
calculated
* sphere : object of :class:`fatiando.mesher.Sphere`
Returns:
* res : array
The function calculated on xp, yp, zp
Example:
>>> from fatiando import mesher, gridder
>>> # Create a sphere model
>>> sphere = mesher.Sphere(0, 0, 5, 1)
>>> # Create a regular grid at 0m height
>>> shape = (4, 4)
>>> area = (-30, 30, -30, 30)
>>> xp, yp, zp = gridder.regular(area, shape, z=0)
>>> # Calculate the function
>>> kzz = kernelzz(xp, yp, zp, sphere)
>>> for k in kzz:
... print '%15.8e' % k
-5.15192445e-05
-1.18304851e-04
-1.18304851e-04
-5.15192445e-05
-1.18304851e-04
-8.27415349e-04
-8.27415349e-04
-1.18304851e-04
-1.18304851e-04
-8.27415349e-04
-8.27415349e-04
-1.18304851e-04
-5.15192445e-05
-1.18304851e-04
-1.18304851e-04
-5.15192445e-05
"""
if xp.shape != yp.shape != zp.shape:
raise ValueError("Input arrays xp, yp, and zp must have same shape!")
res = numpy.zeros(len(xp), dtype=numpy.float)
_sphere.gzz(xp, yp, zp, sphere.x, sphere.y, sphere.z, sphere.radius, 1,
res)
return res
| 27.837054 | 79 | 0.582578 | 5,271 | 37,413 | 4.129387 | 0.071334 | 0.020766 | 0.026463 | 0.019296 | 0.84825 | 0.835891 | 0.825094 | 0.812322 | 0.799779 | 0.797758 | 0 | 0.127065 | 0.28311 | 37,413 | 1,343 | 80 | 27.857781 | 0.684464 | 0.670302 | 0 | 0.719298 | 0 | 0 | 0.113375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074561 | false | 0 | 0.026316 | 0 | 0.175439 | 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 |
1f48dbbecdfc8b1606a5516ed3f1c20a8b4fb22c | 8,602 | py | Python | tests/test_srsran_configurations/test_enb_rr.py | matan1008/srsran-controller | 8389a78976efb7dfe3ef5dc17f5ac14adcae732c | [
"MIT"
] | null | null | null | tests/test_srsran_configurations/test_enb_rr.py | matan1008/srsran-controller | 8389a78976efb7dfe3ef5dc17f5ac14adcae732c | [
"MIT"
] | null | null | null | tests/test_srsran_configurations/test_enb_rr.py | matan1008/srsran-controller | 8389a78976efb7dfe3ef5dc17f5ac14adcae732c | [
"MIT"
] | null | null | null | from io import StringIO
from srsran_controller.srsran_configurations.enb_rr import *
def test_sanity():
output = StringIO()
SrsEnbRR(
mac_cnfg=SrsEnbRRMacConfig(
phr_cnfg=SrsEnbRRMacConfigPhr(dl_pathloss_change='dB3', periodic_phr_timer=50, prohibit_phr_timer=0),
ulsch_cnfg=SrsEnbRRMacConfigUlsch(max_harq_tx=4, periodic_bsr_timer=20, retx_bsr_timer=320),
time_alignment_timer=-1
),
phy_cnfg=SrsEnbRRPhyConfig(
phich_cnfg=SrsEnbRRPhyConfigPhich(duration='Normal', resources='1/6'),
pusch_cnfg_ded=SrsEnbRRPhyConfigPuschDed(beta_offset_ack_idx=6, beta_offset_ri_idx=6,
beta_offset_cqi_idx=6),
sched_request_cnfg=SrsEnbRRPhyConfigSchedRequest(dsr_trans_max=64, period=20, nof_prb=2),
cqi_report_cnfg=SrsEnbRRPhyConfigCqiReport(
mode='periodic', simultaneousAckCQI=True, period=40, nof_prb=2, m_ri=8
)
),
cell_list=(SrsEnbRRCell(
cell_id=0x01, tac=0x0007, pci=1, dl_earfcn=3350, ho_active=False, scell_list=(),
meas_cell_list=(SrsEnbRRCellListMeasCell(eci=0x19C02, dl_earfcn=2850, pci=2),),
meas_report_desc=SrsEnbRRCellListMeasReportDesc(
a3_report_type='RSRP', a3_offset=6, a3_hysteresis=0, a3_time_to_trigger=480, rsrq_config=4
)
),)
).write(output)
assert output.getvalue() == (
'mac_cnfg =\n'
'{\n'
' phr_cnfg =\n'
' {\n'
' dl_pathloss_change = "dB3";\n'
' periodic_phr_timer = 50;\n'
' prohibit_phr_timer = 0;\n'
' };\n'
' ulsch_cnfg =\n'
' {\n'
' max_harq_tx = 4;\n'
' periodic_bsr_timer = 20;\n'
' retx_bsr_timer = 320;\n'
' };\n'
' time_alignment_timer = -1;\n'
'};\n'
'phy_cnfg =\n'
'{\n'
' phich_cnfg =\n'
' {\n'
' duration = "Normal";\n'
' resources = "1/6";\n'
' };\n'
' pusch_cnfg_ded =\n'
' {\n'
' beta_offset_ack_idx = 6;\n'
' beta_offset_ri_idx = 6;\n'
' beta_offset_cqi_idx = 6;\n'
' };\n'
' sched_request_cnfg =\n'
' {\n'
' dsr_trans_max = 64;\n'
' period = 20;\n'
' nof_prb = 2;\n'
' };\n'
' cqi_report_cnfg =\n'
' {\n'
' mode = "periodic";\n'
' simultaneousAckCQI = True;\n'
' period = 40;\n'
' nof_prb = 2;\n'
' m_ri = 8;\n'
' };\n'
'};\n'
'cell_list =\n'
'(\n'
' {\n'
' cell_id = 1;\n'
' tac = 7;\n'
' pci = 1;\n'
' dl_earfcn = 3350;\n'
' rf_port = 0;\n'
' ho_active = False;\n'
' scell_list =\n'
' (\n'
'\n'
' );\n'
' meas_cell_list =\n'
' (\n'
' {\n'
' eci = 105474;\n'
' dl_earfcn = 2850;\n'
' pci = 2;\n'
' }\n'
' );\n'
' meas_report_desc =\n'
' {\n'
' a3_report_type = "RSRP";\n'
' a3_offset = 6;\n'
' a3_hysteresis = 0;\n'
' a3_time_to_trigger = 480;\n'
' rsrq_config = 4;\n'
' };\n'
' }\n'
');\n'
)
def test_multi_cell():
output = StringIO()
SrsEnbRR(
mac_cnfg=SrsEnbRRMacConfig(
phr_cnfg=SrsEnbRRMacConfigPhr(dl_pathloss_change='dB3', periodic_phr_timer=50, prohibit_phr_timer=0),
ulsch_cnfg=SrsEnbRRMacConfigUlsch(max_harq_tx=4, periodic_bsr_timer=20, retx_bsr_timer=320),
time_alignment_timer=-1
),
phy_cnfg=SrsEnbRRPhyConfig(
phich_cnfg=SrsEnbRRPhyConfigPhich(duration='Normal', resources='1/6'),
pusch_cnfg_ded=SrsEnbRRPhyConfigPuschDed(beta_offset_ack_idx=6, beta_offset_ri_idx=6,
beta_offset_cqi_idx=6),
sched_request_cnfg=SrsEnbRRPhyConfigSchedRequest(dsr_trans_max=64, period=20, nof_prb=2),
cqi_report_cnfg=SrsEnbRRPhyConfigCqiReport(
mode='periodic', simultaneousAckCQI=True, period=40, nof_prb=2, m_ri=8
)
),
cell_list=(
SrsEnbRRCell(
cell_id=0x01, tac=0x0007, pci=1, dl_earfcn=3350, ho_active=False, scell_list=(),
meas_cell_list=(SrsEnbRRCellListMeasCell(eci=0x19C02, dl_earfcn=2850, pci=2),),
meas_report_desc=SrsEnbRRCellListMeasReportDesc(
a3_report_type='RSRP', a3_offset=6, a3_hysteresis=0, a3_time_to_trigger=480, rsrq_config=4
)
),
SrsEnbRRCell(
cell_id=0x02, tac=0x0007, pci=2, dl_earfcn=1600, ho_active=False, scell_list=(), rf_port=1,
meas_cell_list=(SrsEnbRRCellListMeasCell(eci=0x19C01, dl_earfcn=3350, pci=1),)
),
)
).write(output)
assert output.getvalue() == (
'mac_cnfg =\n'
'{\n'
' phr_cnfg =\n'
' {\n'
' dl_pathloss_change = "dB3";\n'
' periodic_phr_timer = 50;\n'
' prohibit_phr_timer = 0;\n'
' };\n'
' ulsch_cnfg =\n'
' {\n'
' max_harq_tx = 4;\n'
' periodic_bsr_timer = 20;\n'
' retx_bsr_timer = 320;\n'
' };\n'
' time_alignment_timer = -1;\n'
'};\n'
'phy_cnfg =\n'
'{\n'
' phich_cnfg =\n'
' {\n'
' duration = "Normal";\n'
' resources = "1/6";\n'
' };\n'
' pusch_cnfg_ded =\n'
' {\n'
' beta_offset_ack_idx = 6;\n'
' beta_offset_ri_idx = 6;\n'
' beta_offset_cqi_idx = 6;\n'
' };\n'
' sched_request_cnfg =\n'
' {\n'
' dsr_trans_max = 64;\n'
' period = 20;\n'
' nof_prb = 2;\n'
' };\n'
' cqi_report_cnfg =\n'
' {\n'
' mode = "periodic";\n'
' simultaneousAckCQI = True;\n'
' period = 40;\n'
' nof_prb = 2;\n'
' m_ri = 8;\n'
' };\n'
'};\n'
'cell_list =\n'
'(\n'
' {\n'
' cell_id = 1;\n'
' tac = 7;\n'
' pci = 1;\n'
' dl_earfcn = 3350;\n'
' rf_port = 0;\n'
' ho_active = False;\n'
' scell_list =\n'
' (\n'
'\n'
' );\n'
' meas_cell_list =\n'
' (\n'
' {\n'
' eci = 105474;\n'
' dl_earfcn = 2850;\n'
' pci = 2;\n'
' }\n'
' );\n'
' meas_report_desc =\n'
' {\n'
' a3_report_type = "RSRP";\n'
' a3_offset = 6;\n'
' a3_hysteresis = 0;\n'
' a3_time_to_trigger = 480;\n'
' rsrq_config = 4;\n'
' };\n'
' },\n'
' {\n'
' cell_id = 2;\n'
' tac = 7;\n'
' pci = 2;\n'
' dl_earfcn = 1600;\n'
' rf_port = 1;\n'
' ho_active = False;\n'
' scell_list =\n'
' (\n'
'\n'
' );\n'
' meas_cell_list =\n'
' (\n'
' {\n'
' eci = 105473;\n'
' dl_earfcn = 3350;\n'
' pci = 1;\n'
' }\n'
' );\n'
' meas_report_desc =\n'
' {\n'
' a3_report_type = "RSRP";\n'
' a3_offset = 6;\n'
' a3_hysteresis = 0;\n'
' a3_time_to_trigger = 480;\n'
' rsrq_config = 4;\n'
' };\n'
' }\n'
');\n'
)
| 34.96748 | 113 | 0.41688 | 864 | 8,602 | 3.847222 | 0.137731 | 0.041516 | 0.019856 | 0.016847 | 0.936823 | 0.909747 | 0.909747 | 0.909747 | 0.909747 | 0.909747 | 0 | 0.058439 | 0.448965 | 8,602 | 245 | 114 | 35.110204 | 0.642827 | 0 | 0 | 0.9125 | 0 | 0 | 0.408975 | 0 | 0 | 0 | 0.005929 | 0 | 0.008333 | 1 | 0.008333 | false | 0 | 0.008333 | 0 | 0.016667 | 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 |
c0e828c29ee2df4ffb9f6646d5cf62c450718508 | 4,000 | py | Python | src/model.py | paolodidio/flatland-bologna | 3a493e686ae5c38f59b9f8230ce541cd0d0f4a9d | [
"MIT"
] | null | null | null | src/model.py | paolodidio/flatland-bologna | 3a493e686ae5c38f59b9f8230ce541cd0d0f4a9d | [
"MIT"
] | null | null | null | src/model.py | paolodidio/flatland-bologna | 3a493e686ae5c38f59b9f8230ce541cd0d0f4a9d | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.nn.functional as F
import torch
class DuelingQNetwork(nn.Module):
"""Dueling Q-network (https://arxiv.org/abs/1511.06581)"""
def __init__(self, state_size, action_size, hidsize1=128, hidsize2=128):
super(DuelingQNetwork, self).__init__()
# value network
self.fc1_val = nn.Linear(state_size, hidsize1)
self.fc2_val = nn.Linear(hidsize1, hidsize2)
self.fc4_val = nn.Linear(hidsize2, 1)
# advantage network
self.fc1_adv = nn.Linear(state_size, hidsize1)
self.fc2_adv = nn.Linear(hidsize1, hidsize2)
self.fc4_adv = nn.Linear(hidsize2, action_size)
def forward(self, x):
val = F.relu(self.fc1_val(x))
val = F.relu(self.fc2_val(val))
val = self.fc4_val(val)
# advantage calculation
adv = F.relu(self.fc1_adv(x))
adv = F.relu(self.fc2_adv(adv))
adv = self.fc4_adv(adv)
return val + adv - adv.mean()
class DuelingConvSimpleQNetwork(nn.Module):
"""Dueling Q-network (https://arxiv.org/abs/1511.06581)"""
def __init__(self, state_size, action_size, node_size, out_channels=5, hidsize1=128, hidsize2=128):
super(DuelingConvSimpleQNetwork, self).__init__()
self.conv_out_size = int(out_channels * (state_size / node_size))
# value network
self.fc_conv_val = nn.Conv1d(in_channels=1, out_channels=out_channels, kernel_size=node_size, stride=node_size)
self.fc1_val = nn.Linear(self.conv_out_size, hidsize1)
# self.fc2_val = nn.Linear(hidsize1, hidsize2)
self.fc4_val = nn.Linear(hidsize2, 1)
# advantage network
self.fc_conv_adv = nn.Conv1d(in_channels=1, out_channels=out_channels, kernel_size=node_size, stride=node_size)
self.fc1_adv = nn.Linear(self.conv_out_size, hidsize1)
# self.fc2_adv = nn.Linear(hidsize1, hidsize2)
self.fc4_adv = nn.Linear(hidsize2, action_size)
def forward(self, x):
x = x.unsqueeze(1)
val = F.relu(self.fc_conv_val(x))
val = val.view(-1, self.conv_out_size)
val = F.relu(self.fc1_val(val))
# val = F.relu(self.fc2_val(val))
val = self.fc4_val(val)
# advantage calculation
adv = F.relu(self.fc_conv_adv(x))
adv = adv.view(-1, self.conv_out_size)
adv = F.relu(self.fc1_adv(adv))
# adv = F.relu(self.fc2_adv(adv))
adv = self.fc4_adv(adv)
return val + adv - adv.mean()
class DuelingConvQNetwork(nn.Module):
"""Dueling Q-network (https://arxiv.org/abs/1511.06581)"""
def __init__(self, state_size, action_size, node_size, out_channels=5, hidsize1=128, hidsize2=128):
super(DuelingConvQNetwork, self).__init__()
self.conv_out_size = int(out_channels * (state_size / node_size))
# value network
self.fc_conv_val = nn.Conv1d(in_channels=1, out_channels=out_channels, kernel_size=node_size, stride=node_size)
self.fc1_val = nn.Linear(self.conv_out_size, hidsize1)
self.fc2_val = nn.Linear(hidsize1, hidsize2)
self.fc4_val = nn.Linear(hidsize2, 1)
# advantage network
self.fc_conv_adv = nn.Conv1d(in_channels=1, out_channels=out_channels, kernel_size=node_size, stride=node_size)
self.fc1_adv = nn.Linear(self.conv_out_size, hidsize1)
self.fc2_adv = nn.Linear(hidsize1, hidsize2)
self.fc4_adv = nn.Linear(hidsize2, action_size)
def forward(self, x):
x = x.unsqueeze(1)
val = F.relu(self.fc_conv_val(x))
val = val.view(-1, self.conv_out_size)
val = F.relu(self.fc1_val(val))
val = F.relu(self.fc2_val(val))
val = self.fc4_val(val)
# advantage calculation
adv = F.relu(self.fc_conv_adv(x))
adv = adv.view(-1, self.conv_out_size)
adv = F.relu(self.fc1_adv(adv))
adv = F.relu(self.fc2_adv(adv))
adv = self.fc4_adv(adv)
return val + adv - adv.mean() | 37.037037 | 119 | 0.644 | 583 | 4,000 | 4.176672 | 0.099485 | 0.059138 | 0.059138 | 0.061602 | 0.918686 | 0.900616 | 0.89076 | 0.880082 | 0.880082 | 0.880082 | 0 | 0.042235 | 0.2305 | 4,000 | 108 | 120 | 37.037037 | 0.748863 | 0.11875 | 0 | 0.787879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.045455 | 0 | 0.227273 | 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 |
f19aa5a07d369e404c3389edd52e4880df58d0b7 | 13,218 | py | Python | populaires/tests/test_tasks.py | douglatornell/randopony | d47b10a23cb426da79284fb7fa8c968825ee8915 | [
"BSD-3-Clause"
] | null | null | null | populaires/tests/test_tasks.py | douglatornell/randopony | d47b10a23cb426da79284fb7fa8c968825ee8915 | [
"BSD-3-Clause"
] | 2 | 2020-06-18T21:42:02.000Z | 2020-06-18T21:42:03.000Z | populaires/tests/test_tasks.py | douglatornell/randopony | d47b10a23cb426da79284fb7fa8c968825ee8915 | [
"BSD-3-Clause"
] | null | null | null | """Asynchronous (celeryd) task tests for RandoPony populaires app.
"""
# Django:
import django.test
from django.conf import settings
from django.core import mail
class TestEmailToRider(django.test.TestCase):
"""Unit tests for email_to_rider task function.
"""
fixtures = ['populaires.yaml', 'riders.yaml', 'email_addresses.yaml']
def _get_target_function(self):
from ..tasks import email_to_rider
return email_to_rider
def _send_one(self, *args, **kwargs):
self._get_target_function()(*args, **kwargs)
def test_email_subject(self):
"""email to rider has correct subject
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].subject,
'Pre-registration Confirmation for VicPop 27-Mar-2011')
def test_email_to(self):
"""email to rider has correct to address
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].to, ['mjanson@example.com'])
def test_email_from(self):
"""email to rider has correct from address
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].from_email, 'randopony@randonneurs.bc.ca')
def test_email_sender(self):
"""email to rider has correct sender address header
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].extra_headers['Sender'],
'randopony@randonneurs.bc.ca')
def test_email_reply_to(self):
"""email to rider has correct reply-to address header
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].extra_headers['Reply-To'], 'mjansson@example.com')
def test_email_reply_to_2_organizers(self):
"""email to rider has 2 organizers in reply-to header
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='CanadaDay')
rider = Rider.objects.get(
first_name='Susan', last_name='Barr', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].extra_headers['Reply-To'],
'aliholt@example.com, rogerholt@example.com')
def test_email_confirm_populaire_registration_msg(self):
"""email to rider has correct populaire pre-reg confirmation msg
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'pre-registered for the BC Randonneurs '
'Victoria Populaire on March 27, 2011.',
mail.outbox[0].body)
def test_email_populaire_url(self):
"""email to rider has correct populaire page url
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'<http://testserver/populaires/VicPop/27Mar2011/>',
mail.outbox[0].body)
def test_email_organizer_contact_msg(self):
"""email to rider has correct "reply to contact organizer" msg
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'auto-generated email, but you can reply to it '
'to contact the populaire organizer(s).',
mail.outbox[0].body)
def test_email_event_waiver_msg(self):
"""email to rider has event waiver message when there is a specific one
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'print out the event waiver form from the club web site',
mail.outbox[0].body)
def test_email_no_event_waiver_msg(self):
"""email to rider has no event waiver message when no specific one
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='NanPop')
rider = Rider.objects.get(
first_name='Ryder', last_name='Hesjedal', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertNotIn(
'print out the event waiver form from the club web site',
mail.outbox[0].body)
def test_email_event_waiver_url(self):
"""email to rider has correct event waiver url
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'<http://www.randonneurs.bc.ca/VicPop/VicPop11_registration.pdf>',
mail.outbox[0].body)
class TestEmailToOrganizer(django.test.TestCase):
"""Unit tests for email_to_organizer task function.
"""
fixtures = ['populaires.yaml', 'riders.yaml', 'email_addresses.yaml']
def _get_target_function(self):
from ..tasks import email_to_organizer
return email_to_organizer
def _send_one(self, *args, **kwargs):
self._get_target_function()(*args, **kwargs)
def test_email_subject(self):
"""email to organizer has correct subject
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].subject,
'Mikael Janson has Pre-registered for the VicPop 27-Mar-2011')
def test_email_to(self):
"""email to organizer has correct to address
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].to, ['mjansson@example.com'])
def test_email_to_2_organizers(self):
"""email to organizer goes to multiple organizers
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='CanadaDay')
rider = Rider.objects.get(
first_name='Susan', last_name='Barr', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].to,
'aliholt@example.com rogerholt@example.com'.split())
def test_email_from(self):
"""email to organizer has correct from address
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertEqual(
mail.outbox[0].from_email, 'randopony@randonneurs.bc.ca')
def test_email_confirm_organizer_registration_msg(self):
"""email to organizer has correct pre-registration confirmation msg
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'Mikael Janson <mjanson@example.com> has pre-registered for the '
'VicPop.',
mail.outbox[0].body)
def test_email_populaire_url(self):
"""email to organizer has correct populaire page url
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'<http://testserver/populaires/VicPop/27Mar2011/>',
mail.outbox[0].body)
def test_email_rider_list_spreadsheet_url(self):
"""email to organizer has correct rider list spreadsheet url
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'https://spreadsheets.google.com/ccc?key=foo',
mail.outbox[0].body)
def test_email_distance_selected(self):
"""email to organizer has correct distance selected by rider
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'Mikael Janson has indicated that zhe is planning to ride the '
'100 km distance.',
mail.outbox[0].body)
def test_email_single_distance_populaire(self):
"""email to organizer lacks distance msg for single distance populaire
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='NewYearsPop')
rider = Rider.objects.get(
first_name='Mike', last_name='Croy', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertNotIn(
'Mike Croy has indicated that zhe is planning to ride the '
'100 km distance.',
mail.outbox[0].body)
def test_email_admin_contact_msg(self):
"""email to organizer has correct admin contact email address msg
"""
from ..models import Populaire
from ..models import Rider
populaire = Populaire.objects.get(short_name='VicPop')
rider = Rider.objects.get(
first_name='Mikael', last_name='Janson', populaire=populaire)
self._send_one(populaire.pk, rider.pk, 'testserver')
self.assertIn(
'This is an auto-generated email. If you are having problems with '
'the RandoPony system please send email to '
'<{0}>.'.format(settings.ADMINS[0][1]),
mail.outbox[0].body)
| 41.17757 | 79 | 0.635724 | 1,553 | 13,218 | 5.268513 | 0.108178 | 0.053777 | 0.086043 | 0.070276 | 0.861159 | 0.851626 | 0.821193 | 0.767539 | 0.743706 | 0.737717 | 0 | 0.006707 | 0.255561 | 13,218 | 320 | 80 | 41.30625 | 0.824797 | 0.114768 | 0 | 0.786611 | 0 | 0 | 0.161396 | 0.012442 | 0 | 0 | 0 | 0 | 0.09205 | 1 | 0.108787 | false | 0 | 0.205021 | 0 | 0.338912 | 0.008368 | 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 |
f1e0049270387c8fc868988c157810a7c1872791 | 6,405 | py | Python | test/test_mix.py | hirzel/jsonsubschema | 411b3b1fa0cbdc6e74e0d7975ef17ee99d79b175 | [
"Apache-2.0"
] | 16 | 2020-05-29T09:21:25.000Z | 2022-01-12T09:03:29.000Z | test/test_mix.py | hirzel/jsonsubschema | 411b3b1fa0cbdc6e74e0d7975ef17ee99d79b175 | [
"Apache-2.0"
] | 9 | 2019-11-10T18:32:44.000Z | 2022-02-18T00:47:14.000Z | test/test_mix.py | hirzel/jsonsubschema | 411b3b1fa0cbdc6e74e0d7975ef17ee99d79b175 | [
"Apache-2.0"
] | 9 | 2019-11-02T06:52:57.000Z | 2022-01-03T08:35:24.000Z | '''
Created on June 3, 2019
@author: Andrew Habib
'''
import unittest
from jsonsubschema import isSubschema, set_warn_uninhabited
class TestMixedTypes(unittest.TestCase):
def test_t_t_1(self):
s1 = {'type': 'number'}
s2 = {'type': 'array'}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_t_t_2(self):
s1 = {'type': 'number'}
s2 = {'type': ['number']}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_t_t_3(self):
s1 = {'type': 'integer'}
s2 = {'type': ['number']}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_t_t_4(self):
s1 = {'type': 'integer'}
s2 = {'type': ['number', 'string']}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_t_t_5(self):
s1 = {'type': ['string', 'array']}
s2 = {'type': ['number', 'string']}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_str_int(self):
s1 = {'type': 'string', 'pattern': 'a+',
'allOf': [{'type': 'string', 'pattern': 'b+'}, {'allOf': [{'type': 'string', 'maxLength': 10}]}]
}
s2 = {'type': 'integer', 'maxLength': 1}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_str_bool_any(self):
s1 = {'type': ['string', 'boolean']}
s2 = {'anyOf': [{'type': 'string'}, {'type': 'boolean'}]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_allany_any(self):
s1 = {'allOf': [{'type': ['string', 'boolean']}],
'type': ['string', 'boolean']}
s2 = {'anyOf': [{'type': 'string'}, {'type': 'boolean'}]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_enum1(self):
s1 = {'enum': [1, 2, 'test', False]}
s2 = {'type': ['integer', 'string'], 'minimum': 10, 'enum': [1, 2]}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_enum2(self):
s1 = {'allOf': [{'enum': [1, 2, 3]}, {
'type': 'integer'}], 'enum': [3, 4, 5]}
s2 = {'type': 'integer', 'enum': [1, 2, 3]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_enum3(self):
s1 = {'enum': [3, 4, 5]}
s2 = {'enum': [1, 2, 3]}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_enum4(self):
s1 = {'enum': [3, 4, 5]}
s2 = {'enum': [4, 5, 3]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_enum5(self):
s1 = {'enum': [3, 4, 5], 'allOf': [{'enum': [1, 2]}]}
s2 = {'enum': [4, 5, 3]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_enum6(self):
s1 = {'enum': [3, 4, 5], 'type': 'string'}
s2 = {'enum': [4, 5, 3]}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_top_nottop(self):
s1 = {}
s2 = {'type': 'string'}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_top_bot(self):
s1 = {}
s2 = {'type': 'string', 'enum': [1, 2, 3]}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_uninhabited1(self):
s1 = {'type': 'string', 'enum': [2]}
s2 = {'type': 'boolean'}
set_warn_uninhabited(True)
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
set_warn_uninhabited(False)
def test_not_number(self):
s1 = {'description': 'checking_status', 'enum': [
'<0', '0<=X<200', '>=200', 'no checking']}
s2 = {'not': {'type': 'number'}}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
class TestBottomAndTop(unittest.TestCase):
def test_bot1(self):
s1 = {'not': {}}
s2 = {'type': 'string'}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_bot2(self):
s1 = {'description': 'bottom', 'not': {}}
s2 = {'type': 'string'}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertFalse(isSubschema(s2, s1))
def test_top1(self):
s1 = {}
s2 = {'type': 'string'}
with self.subTest():
self.assertFalse(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
def test_top2(self):
s1 = {'description': 'top'}
s2 = {}
with self.subTest():
self.assertTrue(isSubschema(s1, s2))
with self.subTest():
self.assertTrue(isSubschema(s2, s1))
| 31.707921 | 110 | 0.521468 | 703 | 6,405 | 4.685633 | 0.112376 | 0.106861 | 0.200364 | 0.253795 | 0.770795 | 0.762599 | 0.741348 | 0.729812 | 0.712204 | 0.712204 | 0 | 0.046809 | 0.302888 | 6,405 | 201 | 111 | 31.865672 | 0.690929 | 0.007026 | 0 | 0.666667 | 0 | 0 | 0.098237 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.133333 | false | 0 | 0.012121 | 0 | 0.157576 | 0 | 0 | 0 | 0 | null | 0 | 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 | 7 |
7b2e2d080aed5663cfc34356797291a34373c6a7 | 77 | py | Python | src/onqg/dataset/__init__.py | YuxiXie/Semantic-Graphs-for-Generating-Deep-Questions | 6e5ef241c64b5b30a6ff54ddad31e610013b8388 | [
"MIT"
] | 62 | 2020-04-23T05:53:49.000Z | 2021-11-18T11:25:11.000Z | src/onqg/dataset/__init__.py | YuxiXie/Semantic-Graphs-for-Generating-Deep-Questions | 6e5ef241c64b5b30a6ff54ddad31e610013b8388 | [
"MIT"
] | 14 | 2020-06-13T02:44:14.000Z | 2021-12-21T12:51:25.000Z | src/onqg/dataset/__init__.py | YuxiXie/Semantic-Graphs-for-Generating-Deep-Questions | 6e5ef241c64b5b30a6ff54ddad31e610013b8388 | [
"MIT"
] | 17 | 2020-04-23T05:52:30.000Z | 2021-11-10T06:46:36.000Z | from onqg.dataset.Dataset import Dataset
from onqg.dataset.Vocab import Vocab | 38.5 | 40 | 0.857143 | 12 | 77 | 5.5 | 0.416667 | 0.242424 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 77 | 2 | 41 | 38.5 | 0.942857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
9e81814847d88400460d7d6d4dd86bd8f8b004f7 | 250,379 | py | Python | pyboto3/mediaconnect.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 91 | 2016-12-31T11:38:37.000Z | 2021-09-16T19:33:23.000Z | pyboto3/mediaconnect.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 7 | 2017-01-02T18:54:23.000Z | 2020-08-11T13:54:02.000Z | pyboto3/mediaconnect.py | gehad-shaat/pyboto3 | 4a0c2851a8bc04fb1c71c36086f7bb257e48181d | [
"MIT"
] | 26 | 2016-12-31T13:11:00.000Z | 2022-03-03T21:01:12.000Z | '''
The MIT License (MIT)
Copyright (c) 2016 WavyCloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
def add_flow_outputs(FlowArn=None, Outputs=None):
"""
Adds outputs to an existing flow. You can create up to 50 outputs per flow.
See also: AWS API Documentation
Exceptions
:example: response = client.add_flow_outputs(
FlowArn='string',
Outputs=[
{
'CidrAllowList': [
'string',
],
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'MaxLatency': 123,
'Name': 'string',
'Port': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string',
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
]
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to add outputs to.
:type Outputs: list
:param Outputs: [REQUIRED] A list of outputs that you want to add.\n\n(dict) -- The output that you want to add to this flow.\nCidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n(string) --\n\n\nDescription (string) -- A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.\nDestination (string) -- The IP address from which video will be sent to output destinations.\nEncryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nMaxLatency (integer) -- The maximum latency in milliseconds for Zixi-based streams.\nName (string) -- The name of the output. This value must be unique within the current flow.\nPort (integer) -- The port to use when content is distributed to this output.\nProtocol (string) -- [REQUIRED] The protocol to use for the output.\nRemoteId (string) -- The remote ID for the Zixi-pull output stream.\nSmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.\nStreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.\nVpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.\nVpcInterfaceName (string) -- The name of the VPC interface to use for this output.\n\n\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
]
}
Response Structure
(dict) -- AWS Elemental MediaConnect added the outputs successfully.
FlowArn (string) -- The ARN of the flow that these outputs were added to.
Outputs (list) -- The details of the newly added outputs.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Exceptions
MediaConnect.Client.exceptions.AddFlowOutputs420Exception
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
]
}
:returns:
(dict) -- AWS Elemental MediaConnect added the outputs successfully.
FlowArn (string) -- The ARN of the flow that these outputs were added to.
Outputs (list) -- The details of the newly added outputs.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
"""
pass
def add_flow_sources(FlowArn=None, Sources=None):
"""
Adds Sources to flow
See also: AWS API Documentation
Exceptions
:example: response = client.add_flow_sources(
FlowArn='string',
Sources=[
{
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestPort': 123,
'MaxBitrate': 123,
'MaxLatency': 123,
'Name': 'string',
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'StreamId': 'string',
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
]
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to mutate.
:type Sources: list
:param Sources: [REQUIRED] A list of sources that you want to add.\n\n(dict) -- The settings for the source of the flow.\nDecryption (dict) -- The type of encryption that is used on the content ingested from this source.\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nDescription (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.\nEntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.\nIngestPort (integer) -- The port that the flow will be listening on for incoming content.\nMaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.\nMaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.\nName (string) -- The name of the source.\nProtocol (string) -- The protocol that is used by the source.\nStreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.\nVpcInterfaceName (string) -- The name of the VPC interface to use for this source.\nWhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
]
}
Response Structure
(dict) -- AWS Elemental MediaConnect added sources to the flow successfully.
FlowArn (string) -- The ARN of the flow that these sources were added to.
Sources (list) -- The details of the newly added sources.
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
]
}
:returns:
(dict) -- AWS Elemental MediaConnect added sources to the flow successfully.
FlowArn (string) -- The ARN of the flow that these sources were added to.
Sources (list) -- The details of the newly added sources.
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
"""
pass
def add_flow_vpc_interfaces(FlowArn=None, VpcInterfaces=None):
"""
Adds VPC interfaces to flow
See also: AWS API Documentation
Exceptions
:example: response = client.add_flow_vpc_interfaces(
FlowArn='string',
VpcInterfaces=[
{
'Name': 'string',
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to mutate.
:type VpcInterfaces: list
:param VpcInterfaces: [REQUIRED] A list of VPC interfaces that you want to add.\n\n(dict) -- Desired VPC Interface for a Flow\nName (string) -- [REQUIRED] The name of the VPC Interface. This value must be unique within the current flow.\nRoleArn (string) -- [REQUIRED] Role Arn MediaConnect can assumes to create ENIs in customer\'s account\nSecurityGroupIds (list) -- [REQUIRED] Security Group IDs to be used on ENI.\n(string) --\n\n\nSubnetId (string) -- [REQUIRED] Subnet must be in the AZ of the Flow\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
Response Structure
(dict) -- The following VPC interface was added to the Flow configuration.
FlowArn (string) -- The ARN of the flow that these VPC interfaces were added to.
VpcInterfaces (list) -- The details of the newly added VPC interfaces.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
:returns:
(dict) -- The following VPC interface was added to the Flow configuration.
FlowArn (string) -- The ARN of the flow that these VPC interfaces were added to.
VpcInterfaces (list) -- The details of the newly added VPC interfaces.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
"""
pass
def can_paginate(operation_name=None):
"""
Check if an operation can be paginated.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
"""
pass
def create_flow(AvailabilityZone=None, Entitlements=None, Name=None, Outputs=None, Source=None, SourceFailoverConfig=None, Sources=None, VpcInterfaces=None):
"""
Creates a new flow. The request must include one source. The request optionally can include outputs (up to 50) and entitlements (up to 50).
See also: AWS API Documentation
Exceptions
:example: response = client.create_flow(
AvailabilityZone='string',
Entitlements=[
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Name': 'string',
'Subscribers': [
'string',
]
},
],
Name='string',
Outputs=[
{
'CidrAllowList': [
'string',
],
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'MaxLatency': 123,
'Name': 'string',
'Port': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string',
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
Source={
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestPort': 123,
'MaxBitrate': 123,
'MaxLatency': 123,
'Name': 'string',
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'StreamId': 'string',
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
SourceFailoverConfig={
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
Sources=[
{
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestPort': 123,
'MaxBitrate': 123,
'MaxLatency': 123,
'Name': 'string',
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'StreamId': 'string',
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
VpcInterfaces=[
{
'Name': 'string',
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
)
:type AvailabilityZone: string
:param AvailabilityZone: The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS Region.
:type Entitlements: list
:param Entitlements: The entitlements that you want to grant on a flow.\n\n(dict) -- The entitlements that you want to grant on a flow.\nDataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.\nDescription (string) -- A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.\nEncryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nName (string) -- The name of the entitlement. This value must be unique within the current flow.\nSubscribers (list) -- [REQUIRED] The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flows using your content as the source.\n(string) --\n\n\n\n\n\n
:type Name: string
:param Name: [REQUIRED] The name of the flow.
:type Outputs: list
:param Outputs: The outputs that you want to add to this flow.\n\n(dict) -- The output that you want to add to this flow.\nCidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n(string) --\n\n\nDescription (string) -- A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.\nDestination (string) -- The IP address from which video will be sent to output destinations.\nEncryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nMaxLatency (integer) -- The maximum latency in milliseconds for Zixi-based streams.\nName (string) -- The name of the output. This value must be unique within the current flow.\nPort (integer) -- The port to use when content is distributed to this output.\nProtocol (string) -- [REQUIRED] The protocol to use for the output.\nRemoteId (string) -- The remote ID for the Zixi-pull output stream.\nSmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.\nStreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.\nVpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.\nVpcInterfaceName (string) -- The name of the VPC interface to use for this output.\n\n\n\n\n\n
:type Source: dict
:param Source: The settings for the source of the flow.\n\nDecryption (dict) -- The type of encryption that is used on the content ingested from this source.\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nDescription (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.\nEntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.\nIngestPort (integer) -- The port that the flow will be listening on for incoming content.\nMaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.\nMaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.\nName (string) -- The name of the source.\nProtocol (string) -- The protocol that is used by the source.\nStreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.\nVpcInterfaceName (string) -- The name of the VPC interface to use for this source.\nWhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n\n
:type SourceFailoverConfig: dict
:param SourceFailoverConfig: The settings for source failover\n\nRecoveryWindow (integer) -- Search window time to look for dash-7 packets\nState (string) --\n\n
:type Sources: list
:param Sources: \n(dict) -- The settings for the source of the flow.\nDecryption (dict) -- The type of encryption that is used on the content ingested from this source.\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nDescription (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.\nEntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.\nIngestPort (integer) -- The port that the flow will be listening on for incoming content.\nMaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.\nMaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.\nName (string) -- The name of the source.\nProtocol (string) -- The protocol that is used by the source.\nStreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.\nVpcInterfaceName (string) -- The name of the VPC interface to use for this source.\nWhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n\n\n\n
:type VpcInterfaces: list
:param VpcInterfaces: The VPC interfaces you want on the flow.\n\n(dict) -- Desired VPC Interface for a Flow\nName (string) -- [REQUIRED] The name of the VPC Interface. This value must be unique within the current flow.\nRoleArn (string) -- [REQUIRED] Role Arn MediaConnect can assumes to create ENIs in customer\'s account\nSecurityGroupIds (list) -- [REQUIRED] Security Group IDs to be used on ENI.\n(string) --\n\n\nSubnetId (string) -- [REQUIRED] Subnet must be in the AZ of the Flow\n\n\n\n
:rtype: dict
ReturnsResponse Syntax
{
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
}
Response Structure
(dict) -- AWS Elemental MediaConnect created the new flow successfully.
Flow (dict) -- The settings for a flow, including its source, outputs, and entitlements.
AvailabilityZone (string) -- The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
Description (string) -- A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EgressIp (string) -- The IP address from which video will be sent to output destinations.
Entitlements (list) -- The entitlements in this flow.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
Name (string) -- The name of the flow.
Outputs (list) -- The outputs in this flow.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
SourceFailoverConfig (dict) -- The settings for source failover
RecoveryWindow (integer) -- Search window time to look for dash-7 packets
State (string) --
Sources (list) --
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Status (string) -- The current status of the flow.
VpcInterfaces (list) -- The VPC Interfaces for this flow.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
Exceptions
MediaConnect.Client.exceptions.CreateFlow420Exception
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
}
:returns:
(dict) -- AWS Elemental MediaConnect created the new flow successfully.
Flow (dict) -- The settings for a flow, including its source, outputs, and entitlements.
AvailabilityZone (string) -- The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
Description (string) -- A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EgressIp (string) -- The IP address from which video will be sent to output destinations.
Entitlements (list) -- The entitlements in this flow.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
Name (string) -- The name of the flow.
Outputs (list) -- The outputs in this flow.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
SourceFailoverConfig (dict) -- The settings for source failover
RecoveryWindow (integer) -- Search window time to look for dash-7 packets
State (string) --
Sources (list) --
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Status (string) -- The current status of the flow.
VpcInterfaces (list) -- The VPC Interfaces for this flow.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
"""
pass
def delete_flow(FlowArn=None):
"""
Deletes a flow. Before you can delete a flow, you must stop the flow.
See also: AWS API Documentation
Exceptions
:example: response = client.delete_flow(
FlowArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The ARN of the flow that you want to delete.
:rtype: dict
ReturnsResponse Syntax{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
Response Structure
(dict) -- AWS Elemental MediaConnect is deleting the flow.
FlowArn (string) -- The ARN of the flow that was deleted.
Status (string) -- The status of the flow when the DeleteFlow process begins.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
:returns:
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
"""
pass
def describe_flow(FlowArn=None):
"""
Displays the details of a flow. The response includes the flow ARN, name, and Availability Zone, as well as details about the source, outputs, and entitlements.
See also: AWS API Documentation
Exceptions
:example: response = client.describe_flow(
FlowArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The ARN of the flow that you want to describe.
:rtype: dict
ReturnsResponse Syntax{
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
},
'Messages': {
'Errors': [
'string',
]
}
}
Response Structure
(dict) -- AWS Elemental MediaConnect returned the flow details successfully.
Flow (dict) -- The settings for a flow, including its source, outputs, and entitlements.
AvailabilityZone (string) -- The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
Description (string) -- A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EgressIp (string) -- The IP address from which video will be sent to output destinations.
Entitlements (list) -- The entitlements in this flow.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
Name (string) -- The name of the flow.
Outputs (list) -- The outputs in this flow.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
SourceFailoverConfig (dict) -- The settings for source failover
RecoveryWindow (integer) -- Search window time to look for dash-7 packets
State (string) --
Sources (list) --
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Status (string) -- The current status of the flow.
VpcInterfaces (list) -- The VPC Interfaces for this flow.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
Messages (dict) -- Messages that provide the state of the flow.
Errors (list) -- A list of errors that might have been generated from processes on this flow.
(string) --
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
},
'Messages': {
'Errors': [
'string',
]
}
}
:returns:
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
"""
pass
def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None):
"""
Generate a presigned url given a client, its method, and arguments
:type ClientMethod: string
:param ClientMethod: The client method to presign for
:type Params: dict
:param Params: The parameters normally passed to\nClientMethod.
:type ExpiresIn: int
:param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds)
:type HttpMethod: string
:param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model.
"""
pass
def get_paginator(operation_name=None):
"""
Create a paginator for an operation.
:type operation_name: string
:param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo').
:rtype: L{botocore.paginate.Paginator}
ReturnsA paginator object.
"""
pass
def get_waiter(waiter_name=None):
"""
Returns an object that can wait for some condition.
:type waiter_name: str
:param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters.
:rtype: botocore.waiter.Waiter
"""
pass
def grant_flow_entitlements(Entitlements=None, FlowArn=None):
"""
Grants entitlements to an existing flow.
See also: AWS API Documentation
Exceptions
:example: response = client.grant_flow_entitlements(
Entitlements=[
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Name': 'string',
'Subscribers': [
'string',
]
},
],
FlowArn='string'
)
:type Entitlements: list
:param Entitlements: [REQUIRED] The list of entitlements that you want to grant.\n\n(dict) -- The entitlements that you want to grant on a flow.\nDataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.\nDescription (string) -- A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.\nEncryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.\nAlgorithm (string) -- [REQUIRED] The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- [REQUIRED] The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n\nName (string) -- The name of the entitlement. This value must be unique within the current flow.\nSubscribers (list) -- [REQUIRED] The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flows using your content as the source.\n(string) --\n\n\n\n\n\n
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to grant entitlements on.
:rtype: dict
ReturnsResponse Syntax
{
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string'
}
Response Structure
(dict) -- AWS Elemental MediaConnect granted the entitlements successfully.
Entitlements (list) -- The entitlements that were just granted.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The ARN of the flow that these entitlements were granted to.
Exceptions
MediaConnect.Client.exceptions.GrantFlowEntitlements420Exception
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string'
}
:returns:
(dict) -- AWS Elemental MediaConnect granted the entitlements successfully.
Entitlements (list) -- The entitlements that were just granted.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The ARN of the flow that these entitlements were granted to.
"""
pass
def list_entitlements(MaxResults=None, NextToken=None):
"""
Displays a list of all entitlements that have been granted to this account. This request returns 20 results per page.
See also: AWS API Documentation
Exceptions
:example: response = client.list_entitlements(
MaxResults=123,
NextToken='string'
)
:type MaxResults: integer
:param MaxResults: The maximum number of results to return per API request. For example, you submit a ListEntitlements request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.) The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 20 results per page.
:type NextToken: string
:param NextToken: The token that identifies which batch of results that you want to see. For example, you submit a ListEntitlements request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListEntitlements request a second time and specify the NextToken value.
:rtype: dict
ReturnsResponse Syntax
{
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'EntitlementArn': 'string',
'EntitlementName': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) -- AWS Elemental MediaConnect returned the list of entitlements successfully.
Entitlements (list) -- A list of entitlements that have been granted to you from other AWS accounts.
(dict) -- An entitlement that has been granted to you from other AWS accounts.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
EntitlementArn (string) -- The ARN of the entitlement.
EntitlementName (string) -- The name of the entitlement.
NextToken (string) -- The token that identifies which batch of results that you want to see. For example, you submit a ListEntitlements request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListEntitlements request a second time and specify the NextToken value.
Exceptions
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
:return: {
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'EntitlementArn': 'string',
'EntitlementName': 'string'
},
],
'NextToken': 'string'
}
:returns:
(dict) -- AWS Elemental MediaConnect returned the list of entitlements successfully.
Entitlements (list) -- A list of entitlements that have been granted to you from other AWS accounts.
(dict) -- An entitlement that has been granted to you from other AWS accounts.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
EntitlementArn (string) -- The ARN of the entitlement.
EntitlementName (string) -- The name of the entitlement.
NextToken (string) -- The token that identifies which batch of results that you want to see. For example, you submit a ListEntitlements request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListEntitlements request a second time and specify the NextToken value.
"""
pass
def list_flows(MaxResults=None, NextToken=None):
"""
Displays a list of flows that are associated with this account. This request returns a paginated result.
See also: AWS API Documentation
Exceptions
:example: response = client.list_flows(
MaxResults=123,
NextToken='string'
)
:type MaxResults: integer
:param MaxResults: The maximum number of results to return per API request. For example, you submit a ListFlows request with MaxResults set at 5. Although 20 items match your request, the service returns no more than the first 5 items. (The service also returns a NextToken value that you can use to fetch the next batch of results.) The service might return fewer results than the MaxResults value. If MaxResults is not included in the request, the service defaults to pagination with a maximum of 10 results per page.
:type NextToken: string
:param NextToken: The token that identifies which batch of results that you want to see. For example, you submit a ListFlows request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFlows request a second time and specify the NextToken value.
:rtype: dict
ReturnsResponse Syntax
{
'Flows': [
{
'AvailabilityZone': 'string',
'Description': 'string',
'FlowArn': 'string',
'Name': 'string',
'SourceType': 'OWNED'|'ENTITLED',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
},
],
'NextToken': 'string'
}
Response Structure
(dict) -- AWS Elemental MediaConnect returned the list of flows successfully.
Flows (list) -- A list of flow summaries.
(dict) -- Provides a summary of a flow, including its ARN, Availability Zone, and source type.
AvailabilityZone (string) -- The Availability Zone that the flow was created in.
Description (string) -- A description of the flow.
FlowArn (string) -- The ARN of the flow.
Name (string) -- The name of the flow.
SourceType (string) -- The type of source. This value is either owned (originated somewhere other than an AWS Elemental MediaConnect flow owned by another AWS account) or entitled (originated at an AWS Elemental MediaConnect flow owned by another AWS account).
Status (string) -- The current status of the flow.
NextToken (string) -- The token that identifies which batch of results that you want to see. For example, you submit a ListFlows request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFlows request a second time and specify the NextToken value.
Exceptions
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
:return: {
'Flows': [
{
'AvailabilityZone': 'string',
'Description': 'string',
'FlowArn': 'string',
'Name': 'string',
'SourceType': 'OWNED'|'ENTITLED',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
},
],
'NextToken': 'string'
}
:returns:
(dict) -- AWS Elemental MediaConnect returned the list of flows successfully.
Flows (list) -- A list of flow summaries.
(dict) -- Provides a summary of a flow, including its ARN, Availability Zone, and source type.
AvailabilityZone (string) -- The Availability Zone that the flow was created in.
Description (string) -- A description of the flow.
FlowArn (string) -- The ARN of the flow.
Name (string) -- The name of the flow.
SourceType (string) -- The type of source. This value is either owned (originated somewhere other than an AWS Elemental MediaConnect flow owned by another AWS account) or entitled (originated at an AWS Elemental MediaConnect flow owned by another AWS account).
Status (string) -- The current status of the flow.
NextToken (string) -- The token that identifies which batch of results that you want to see. For example, you submit a ListFlows request with MaxResults set at 5. The service returns the first batch of results (up to 5) and a NextToken value. To see the next batch of results, you can submit the ListFlows request a second time and specify the NextToken value.
"""
pass
def list_tags_for_resource(ResourceArn=None):
"""
List all tags on an AWS Elemental MediaConnect resource
See also: AWS API Documentation
Exceptions
:example: response = client.list_tags_for_resource(
ResourceArn='string'
)
:type ResourceArn: string
:param ResourceArn: [REQUIRED] The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource for which to list the tags.
:rtype: dict
ReturnsResponse Syntax{
'Tags': {
'string': 'string'
}
}
Response Structure
(dict) -- The tags for the resource
Tags (dict) -- A map from tag keys to values. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.
(string) --
(string) --
Exceptions
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
:return: {
'Tags': {
'string': 'string'
}
}
:returns:
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
"""
pass
def remove_flow_output(FlowArn=None, OutputArn=None):
"""
Removes an output from an existing flow. This request can be made only on an output that does not have an entitlement associated with it. If the output has an entitlement, you must revoke the entitlement instead. When an entitlement is revoked from a flow, the service automatically removes the associated output.
See also: AWS API Documentation
Exceptions
:example: response = client.remove_flow_output(
FlowArn='string',
OutputArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to remove an output from.
:type OutputArn: string
:param OutputArn: [REQUIRED] The ARN of the output that you want to remove.
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'OutputArn': 'string'
}
Response Structure
(dict) -- output successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the output you removed.
OutputArn (string) -- The ARN of the output that was removed.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'OutputArn': 'string'
}
:returns:
(dict) -- output successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the output you removed.
OutputArn (string) -- The ARN of the output that was removed.
"""
pass
def remove_flow_source(FlowArn=None, SourceArn=None):
"""
Removes a source from an existing flow. This request can be made only if there is more than one source on the flow.
See also: AWS API Documentation
Exceptions
:example: response = client.remove_flow_source(
FlowArn='string',
SourceArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to remove a source from.
:type SourceArn: string
:param SourceArn: [REQUIRED] The ARN of the source that you want to remove.
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'SourceArn': 'string'
}
Response Structure
(dict) -- source successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the source you removed.
SourceArn (string) -- The ARN of the source that was removed.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'SourceArn': 'string'
}
:returns:
(dict) -- source successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the source you removed.
SourceArn (string) -- The ARN of the source that was removed.
"""
pass
def remove_flow_vpc_interface(FlowArn=None, VpcInterfaceName=None):
"""
Removes a VPC Interface from an existing flow. This request can be made only on a VPC interface that does not have a Source or Output associated with it. If the VPC interface is referenced by a Source or Output, you must first delete or update the Source or Output to no longer reference the VPC interface.
See also: AWS API Documentation
Exceptions
:example: response = client.remove_flow_vpc_interface(
FlowArn='string',
VpcInterfaceName='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to remove a VPC interface from.
:type VpcInterfaceName: string
:param VpcInterfaceName: [REQUIRED] The name of the VPC interface that you want to remove.
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'NonDeletedNetworkInterfaceIds': [
'string',
],
'VpcInterfaceName': 'string'
}
Response Structure
(dict) -- VPC interface successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the VPC interface you removed.
NonDeletedNetworkInterfaceIds (list) -- IDs of network interfaces associated with the removed VPC interface that Media Connect was unable to remove.
(string) --
VpcInterfaceName (string) -- The name of the VPC interface that was removed.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'NonDeletedNetworkInterfaceIds': [
'string',
],
'VpcInterfaceName': 'string'
}
:returns:
(dict) -- VPC interface successfully removed from flow configuration.
FlowArn (string) -- The ARN of the flow that is associated with the VPC interface you removed.
NonDeletedNetworkInterfaceIds (list) -- IDs of network interfaces associated with the removed VPC interface that Media Connect was unable to remove.
(string) --
VpcInterfaceName (string) -- The name of the VPC interface that was removed.
"""
pass
def revoke_flow_entitlement(EntitlementArn=None, FlowArn=None):
"""
Revokes an entitlement from a flow. Once an entitlement is revoked, the content becomes unavailable to the subscriber and the associated output is removed.
See also: AWS API Documentation
Exceptions
:example: response = client.revoke_flow_entitlement(
EntitlementArn='string',
FlowArn='string'
)
:type EntitlementArn: string
:param EntitlementArn: [REQUIRED] The ARN of the entitlement that you want to revoke.
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to revoke an entitlement from.
:rtype: dict
ReturnsResponse Syntax
{
'EntitlementArn': 'string',
'FlowArn': 'string'
}
Response Structure
(dict) -- AWS Elemental MediaConnect revoked the entitlement successfully.
EntitlementArn (string) -- The ARN of the entitlement that was revoked.
FlowArn (string) -- The ARN of the flow that the entitlement was revoked from.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'EntitlementArn': 'string',
'FlowArn': 'string'
}
:returns:
(dict) -- AWS Elemental MediaConnect revoked the entitlement successfully.
EntitlementArn (string) -- The ARN of the entitlement that was revoked.
FlowArn (string) -- The ARN of the flow that the entitlement was revoked from.
"""
pass
def start_flow(FlowArn=None):
"""
Starts a flow.
See also: AWS API Documentation
Exceptions
:example: response = client.start_flow(
FlowArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The ARN of the flow that you want to start.
:rtype: dict
ReturnsResponse Syntax{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
Response Structure
(dict) -- AWS Elemental MediaConnect is starting the flow.
FlowArn (string) -- The ARN of the flow that you started.
Status (string) -- The status of the flow when the StartFlow process begins.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
:returns:
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
"""
pass
def stop_flow(FlowArn=None):
"""
Stops a flow.
See also: AWS API Documentation
Exceptions
:example: response = client.stop_flow(
FlowArn='string'
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The ARN of the flow that you want to stop.
:rtype: dict
ReturnsResponse Syntax{
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
Response Structure
(dict) -- AWS Elemental MediaConnect is stopping the flow.
FlowArn (string) -- The ARN of the flow that you stopped.
Status (string) -- The status of the flow when the StopFlow process begins.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR'
}
:returns:
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
"""
pass
def tag_resource(ResourceArn=None, Tags=None):
"""
Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are deleted as well.
See also: AWS API Documentation
Exceptions
:example: response = client.tag_resource(
ResourceArn='string',
Tags={
'string': 'string'
}
)
:type ResourceArn: string
:param ResourceArn: [REQUIRED] The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource to which to add tags.
:type Tags: dict
:param Tags: [REQUIRED] A map from tag keys to values. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.\n\n(string) --\n(string) --\n\n\n\n
:returns:
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
"""
pass
def untag_resource(ResourceArn=None, TagKeys=None):
"""
Deletes specified tags from a resource.
See also: AWS API Documentation
Exceptions
:example: response = client.untag_resource(
ResourceArn='string',
TagKeys=[
'string',
]
)
:type ResourceArn: string
:param ResourceArn: [REQUIRED] The Amazon Resource Name (ARN) that identifies the AWS Elemental MediaConnect resource from which to delete tags.
:type TagKeys: list
:param TagKeys: [REQUIRED] The keys of the tags to be removed.\n\n(string) --\n\n
:returns:
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
"""
pass
def update_flow(FlowArn=None, SourceFailoverConfig=None):
"""
Updates flow
See also: AWS API Documentation
Exceptions
:example: response = client.update_flow(
FlowArn='string',
SourceFailoverConfig={
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
}
)
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that you want to update.
:type SourceFailoverConfig: dict
:param SourceFailoverConfig: The settings for source failover\n\nRecoveryWindow (integer) -- Recovery window time to look for dash-7 packets\nState (string) --\n\n
:rtype: dict
ReturnsResponse Syntax
{
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
}
Response Structure
(dict) -- AWS Elemental MediaConnect updated the flow successfully.
Flow (dict) -- The settings for a flow, including its source, outputs, and entitlements.
AvailabilityZone (string) -- The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
Description (string) -- A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EgressIp (string) -- The IP address from which video will be sent to output destinations.
Entitlements (list) -- The entitlements in this flow.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
Name (string) -- The name of the flow.
Outputs (list) -- The outputs in this flow.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
SourceFailoverConfig (dict) -- The settings for source failover
RecoveryWindow (integer) -- Search window time to look for dash-7 packets
State (string) --
Sources (list) --
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Status (string) -- The current status of the flow.
VpcInterfaces (list) -- The VPC Interfaces for this flow.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'Flow': {
'AvailabilityZone': 'string',
'Description': 'string',
'EgressIp': 'string',
'Entitlements': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
],
'FlowArn': 'string',
'Name': 'string',
'Outputs': [
{
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
},
],
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
'SourceFailoverConfig': {
'RecoveryWindow': 123,
'State': 'ENABLED'|'DISABLED'
},
'Sources': [
{
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
},
],
'Status': 'STANDBY'|'ACTIVE'|'UPDATING'|'DELETING'|'STARTING'|'STOPPING'|'ERROR',
'VpcInterfaces': [
{
'Name': 'string',
'NetworkInterfaceIds': [
'string',
],
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string'
},
]
}
}
:returns:
(dict) -- AWS Elemental MediaConnect updated the flow successfully.
Flow (dict) -- The settings for a flow, including its source, outputs, and entitlements.
AvailabilityZone (string) -- The Availability Zone that you want to create the flow in. These options are limited to the Availability Zones within the current AWS.
Description (string) -- A description of the flow. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EgressIp (string) -- The IP address from which video will be sent to output destinations.
Entitlements (list) -- The entitlements in this flow.
(dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The Amazon Resource Name (ARN), a unique identifier for any AWS resource, of the flow.
Name (string) -- The name of the flow.
Outputs (list) -- The outputs in this flow.
(dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
SourceFailoverConfig (dict) -- The settings for source failover
RecoveryWindow (integer) -- Search window time to look for dash-7 packets
State (string) --
Sources (list) --
(dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Status (string) -- The current status of the flow.
VpcInterfaces (list) -- The VPC Interfaces for this flow.
(dict) -- The settings for a VPC Source.
Name (string) -- Immutable and has to be a unique against other VpcInterfaces in this Flow
NetworkInterfaceIds (list) -- IDs of the network interfaces created in customer\'s account by MediaConnect.
(string) --
RoleArn (string) -- Role Arn MediaConnect can assumes to create ENIs in customer\'s account
SecurityGroupIds (list) -- Security Group IDs to be used on ENI.
(string) --
SubnetId (string) -- Subnet must be in the AZ of the Flow
"""
pass
def update_flow_entitlement(Description=None, Encryption=None, EntitlementArn=None, FlowArn=None, Subscribers=None):
"""
You can change an entitlement\'s description, subscribers, and encryption. If you change the subscribers, the service will remove the outputs that are are used by the subscribers that are removed.
See also: AWS API Documentation
Exceptions
:example: response = client.update_flow_entitlement(
Description='string',
Encryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
EntitlementArn='string',
FlowArn='string',
Subscribers=[
'string',
]
)
:type Description: string
:param Description: A description of the entitlement. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the subscriber or end user.
:type Encryption: dict
:param Encryption: The type of encryption that will be used on the output associated with this entitlement.\n\nAlgorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n
:type EntitlementArn: string
:param EntitlementArn: [REQUIRED] The ARN of the entitlement that you want to update.
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that is associated with the entitlement that you want to update.
:type Subscribers: list
:param Subscribers: The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.\n\n(string) --\n\n
:rtype: dict
ReturnsResponse Syntax
{
'Entitlement': {
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
'FlowArn': 'string'
}
Response Structure
(dict) -- AWS Elemental MediaConnect updated the entitlement successfully.
Entitlement (dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The ARN of the flow that this entitlement was granted on.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'Entitlement': {
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'Name': 'string',
'Subscribers': [
'string',
]
},
'FlowArn': 'string'
}
:returns:
(dict) -- AWS Elemental MediaConnect updated the entitlement successfully.
Entitlement (dict) -- The settings for a flow entitlement.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the entitlement.
Encryption (dict) -- The type of encryption that will be used on the output that is associated with this entitlement.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement.
Name (string) -- The name of the entitlement.
Subscribers (list) -- The AWS account IDs that you want to share your content with. The receiving accounts (subscribers) will be allowed to create their own flow using your content as the source.
(string) --
FlowArn (string) -- The ARN of the flow that this entitlement was granted on.
"""
pass
def update_flow_output(CidrAllowList=None, Description=None, Destination=None, Encryption=None, FlowArn=None, MaxLatency=None, OutputArn=None, Port=None, Protocol=None, RemoteId=None, SmoothingLatency=None, StreamId=None, VpcInterfaceAttachment=None):
"""
Updates an existing flow output.
See also: AWS API Documentation
Exceptions
:example: response = client.update_flow_output(
CidrAllowList=[
'string',
],
Description='string',
Destination='string',
Encryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
FlowArn='string',
MaxLatency=123,
OutputArn='string',
Port=123,
Protocol='zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
RemoteId='string',
SmoothingLatency=123,
StreamId='string',
VpcInterfaceAttachment={
'VpcInterfaceName': 'string'
}
)
:type CidrAllowList: list
:param CidrAllowList: The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.\n\n(string) --\n\n
:type Description: string
:param Description: A description of the output. This description appears only on the AWS Elemental MediaConnect console and will not be seen by the end user.
:type Destination: string
:param Destination: The IP address where you want to send the output.
:type Encryption: dict
:param Encryption: The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\n\nAlgorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that is associated with the output that you want to update.
:type MaxLatency: integer
:param MaxLatency: The maximum latency in milliseconds for Zixi-based streams.
:type OutputArn: string
:param OutputArn: [REQUIRED] The ARN of the output that you want to update.
:type Port: integer
:param Port: The port to use when content is distributed to this output.
:type Protocol: string
:param Protocol: The protocol to use for the output.
:type RemoteId: string
:param RemoteId: The remote ID for the Zixi-pull stream.
:type SmoothingLatency: integer
:param SmoothingLatency: The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
:type StreamId: string
:param StreamId: The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type VpcInterfaceAttachment: dict
:param VpcInterfaceAttachment: The name of the VPC interface attachment to use for this output.\n\nVpcInterfaceName (string) -- The name of the VPC interface to use for this output.\n\n
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'Output': {
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
}
}
Response Structure
(dict) -- AWS Elemental MediaConnect updated the output successfully.
FlowArn (string) -- The ARN of the flow that is associated with the updated output.
Output (dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Output': {
'DataTransferSubscriberFeePercent': 123,
'Description': 'string',
'Destination': 'string',
'Encryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'EntitlementArn': 'string',
'MediaLiveInputArn': 'string',
'Name': 'string',
'OutputArn': 'string',
'Port': 123,
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceAttachment': {
'VpcInterfaceName': 'string'
}
}
}
:returns:
(dict) -- AWS Elemental MediaConnect updated the output successfully.
FlowArn (string) -- The ARN of the flow that is associated with the updated output.
Output (dict) -- The settings for an output.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Description (string) -- A description of the output.
Destination (string) -- The address where you want to send the output.
Encryption (dict) -- The type of key used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
EntitlementArn (string) -- The ARN of the entitlement on the originator\'\'s flow. This value is relevant only on entitled flows.
MediaLiveInputArn (string) -- The input ARN of the AWS Elemental MediaLive channel. This parameter is relevant only for outputs that were added by creating a MediaLive input.
Name (string) -- The name of the output. This value must be unique within the current flow.
OutputArn (string) -- The ARN of the output.
Port (integer) -- The port to use when content is distributed to this output.
Transport (dict) -- Attributes related to the transport stream that are used in the output.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceAttachment (dict) -- The name of the VPC interface attachment to use for this output.
VpcInterfaceName (string) -- The name of the VPC interface to use for this output.
"""
pass
def update_flow_source(Decryption=None, Description=None, EntitlementArn=None, FlowArn=None, IngestPort=None, MaxBitrate=None, MaxLatency=None, Protocol=None, SourceArn=None, StreamId=None, VpcInterfaceName=None, WhitelistCidr=None):
"""
Updates the source of a flow.
See also: AWS API Documentation
Exceptions
:example: response = client.update_flow_source(
Decryption={
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
Description='string',
EntitlementArn='string',
FlowArn='string',
IngestPort=123,
MaxBitrate=123,
MaxLatency=123,
Protocol='zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
SourceArn='string',
StreamId='string',
VpcInterfaceName='string',
WhitelistCidr='string'
)
:type Decryption: dict
:param Decryption: The type of encryption used on the content ingested from this source.\n\nAlgorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).\nConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.\nDeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nKeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).\nRegion (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.\nRoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).\nSecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.\nUrl (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.\n\n
:type Description: string
:param Description: A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
:type EntitlementArn: string
:param EntitlementArn: The ARN of the entitlement that allows you to subscribe to this flow. The entitlement is set by the flow originator, and the ARN is generated as part of the originator\'s flow.
:type FlowArn: string
:param FlowArn: [REQUIRED] The flow that is associated with the source that you want to update.
:type IngestPort: integer
:param IngestPort: The port that the flow will be listening on for incoming content.
:type MaxBitrate: integer
:param MaxBitrate: The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
:type MaxLatency: integer
:param MaxLatency: The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
:type Protocol: string
:param Protocol: The protocol that is used by the source.
:type SourceArn: string
:param SourceArn: [REQUIRED] The ARN of the source that you want to update.
:type StreamId: string
:param StreamId: The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
:type VpcInterfaceName: string
:param VpcInterfaceName: The name of the VPC Interface to configure this Source with.
:type WhitelistCidr: string
:param WhitelistCidr: The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
:rtype: dict
ReturnsResponse Syntax
{
'FlowArn': 'string',
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
}
}
Response Structure
(dict) -- AWS Elemental MediaConnect updated the flow successfully.
FlowArn (string) -- The ARN of the flow that you want to update.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
Exceptions
MediaConnect.Client.exceptions.BadRequestException
MediaConnect.Client.exceptions.InternalServerErrorException
MediaConnect.Client.exceptions.ForbiddenException
MediaConnect.Client.exceptions.NotFoundException
MediaConnect.Client.exceptions.ServiceUnavailableException
MediaConnect.Client.exceptions.TooManyRequestsException
:return: {
'FlowArn': 'string',
'Source': {
'DataTransferSubscriberFeePercent': 123,
'Decryption': {
'Algorithm': 'aes128'|'aes192'|'aes256',
'ConstantInitializationVector': 'string',
'DeviceId': 'string',
'KeyType': 'speke'|'static-key',
'Region': 'string',
'ResourceId': 'string',
'RoleArn': 'string',
'SecretArn': 'string',
'Url': 'string'
},
'Description': 'string',
'EntitlementArn': 'string',
'IngestIp': 'string',
'IngestPort': 123,
'Name': 'string',
'SourceArn': 'string',
'Transport': {
'CidrAllowList': [
'string',
],
'MaxBitrate': 123,
'MaxLatency': 123,
'Protocol': 'zixi-push'|'rtp-fec'|'rtp'|'zixi-pull'|'rist',
'RemoteId': 'string',
'SmoothingLatency': 123,
'StreamId': 'string'
},
'VpcInterfaceName': 'string',
'WhitelistCidr': 'string'
}
}
:returns:
(dict) -- AWS Elemental MediaConnect updated the flow successfully.
FlowArn (string) -- The ARN of the flow that you want to update.
Source (dict) -- The settings for the source of the flow.
DataTransferSubscriberFeePercent (integer) -- Percentage from 0-100 of the data transfer cost to be billed to the subscriber.
Decryption (dict) -- The type of encryption that is used on the content ingested from this source.
Algorithm (string) -- The type of algorithm that is used for the encryption (such as aes128, aes192, or aes256).
ConstantInitializationVector (string) -- A 128-bit, 16-byte hex value represented by a 32-character string, to be used with the key for encrypting content. This parameter is not valid for static key encryption.
DeviceId (string) -- The value of one of the devices that you configured with your digital rights management (DRM) platform key provider. This parameter is required for SPEKE encryption and is not valid for static key encryption.
KeyType (string) -- The type of key that is used for the encryption. If no keyType is provided, the service will use the default setting (static-key).
Region (string) -- The AWS Region that the API Gateway proxy endpoint was created in. This parameter is required for SPEKE encryption and is not valid for static key encryption.
ResourceId (string) -- An identifier for the content. The service sends this value to the key server to identify the current endpoint. The resource ID is also known as the content ID. This parameter is required for SPEKE encryption and is not valid for static key encryption.
RoleArn (string) -- The ARN of the role that you created during setup (when you set up AWS Elemental MediaConnect as a trusted entity).
SecretArn (string) -- The ARN of the secret that you created in AWS Secrets Manager to store the encryption key. This parameter is required for static key encryption and is not valid for SPEKE encryption.
Url (string) -- The URL from the API Gateway proxy that you set up to talk to your key server. This parameter is required for SPEKE encryption and is not valid for static key encryption.
Description (string) -- A description for the source. This value is not used or seen outside of the current AWS Elemental MediaConnect account.
EntitlementArn (string) -- The ARN of the entitlement that allows you to subscribe to content that comes from another AWS account. The entitlement is set by the content originator and the ARN is generated as part of the originator\'s flow.
IngestIp (string) -- The IP address that the flow will be listening on for incoming content.
IngestPort (integer) -- The port that the flow will be listening on for incoming content.
Name (string) -- The name of the source.
SourceArn (string) -- The ARN of the source.
Transport (dict) -- Attributes related to the transport stream that are used in the source.
CidrAllowList (list) -- The range of IP addresses that should be allowed to initiate output requests to this flow. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
(string) --
MaxBitrate (integer) -- The smoothing max bitrate for RIST, RTP, and RTP-FEC streams.
MaxLatency (integer) -- The maximum latency in milliseconds. This parameter applies only to RIST-based and Zixi-based streams.
Protocol (string) -- The protocol that is used by the source or output.
RemoteId (string) -- The remote ID for the Zixi-pull stream.
SmoothingLatency (integer) -- The smoothing latency in milliseconds for RIST, RTP, and RTP-FEC streams.
StreamId (string) -- The stream ID that you want to use for this transport. This parameter applies only to Zixi-based streams.
VpcInterfaceName (string) -- The name of the VPC Interface this Source is configured with.
WhitelistCidr (string) -- The range of IP addresses that should be allowed to contribute content to your source. These IP addresses should be in the form of a Classless Inter-Domain Routing (CIDR) block; for example, 10.0.0.0/16.
"""
pass
| 56.315565 | 3,327 | 0.668335 | 31,386 | 250,379 | 5.328459 | 0.019053 | 0.033096 | 0.02341 | 0.019589 | 0.962527 | 0.95745 | 0.956069 | 0.953587 | 0.950448 | 0.946161 | 0 | 0.011408 | 0.253943 | 250,379 | 4,445 | 3,328 | 56.328234 | 0.88389 | 0.988857 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 10 |
7b6db62f5be90e1f01579851bafa5ceda89bcd85 | 34,732 | py | Python | sdk/python/pulumi_rancher2/catalog_v2.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-03-23T15:59:11.000Z | 2021-01-29T00:37:32.000Z | sdk/python/pulumi_rancher2/catalog_v2.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 76 | 2020-01-16T20:00:25.000Z | 2022-03-31T20:30:08.000Z | sdk/python/pulumi_rancher2/catalog_v2.py | pulumi/pulumi-rancher2 | 7a98af8cf598b711084a7f46c0fe71b43ed7a8ac | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-03-27T17:39:59.000Z | 2020-11-24T23:09:24.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['CatalogV2Args', 'CatalogV2']
@pulumi.input_type
class CatalogV2Args:
def __init__(__self__, *,
cluster_id: pulumi.Input[str],
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
ca_bundle: Optional[pulumi.Input[str]] = None,
enabled: Optional[pulumi.Input[bool]] = None,
git_branch: Optional[pulumi.Input[str]] = None,
git_repo: Optional[pulumi.Input[str]] = None,
insecure: Optional[pulumi.Input[bool]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
secret_name: Optional[pulumi.Input[str]] = None,
secret_namespace: Optional[pulumi.Input[str]] = None,
service_account: Optional[pulumi.Input[str]] = None,
service_account_namespace: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a CatalogV2 resource.
:param pulumi.Input[str] cluster_id: The cluster id of the catalog V2 (string)
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for the catalog v2 (map)
:param pulumi.Input[str] ca_bundle: PEM encoded CA bundle which will be used to validate the repo's certificate (string)
:param pulumi.Input[bool] enabled: If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
:param pulumi.Input[str] git_branch: Git Repository branch containing Helm chart definitions. Default `master` (string)
:param pulumi.Input[str] git_repo: The url of the catalog v2 repo. Conflicts with `url` (string)
:param pulumi.Input[bool] insecure: Use insecure HTTPS to download the repo's index. Default: `false` (bool)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for the catalog v2 (map)
:param pulumi.Input[str] name: The name of the catalog v2 (string)
:param pulumi.Input[str] secret_name: K8s secret name to be used to connect to the repo (string)
:param pulumi.Input[str] secret_namespace: K8s secret namespace (string)
:param pulumi.Input[str] service_account: K8s service account used to deploy charts instead of the end users credentials (string)
:param pulumi.Input[str] service_account_namespace: The username to access the catalog if needed (string)
:param pulumi.Input[str] url: URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
pulumi.set(__self__, "cluster_id", cluster_id)
if annotations is not None:
pulumi.set(__self__, "annotations", annotations)
if ca_bundle is not None:
pulumi.set(__self__, "ca_bundle", ca_bundle)
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
if git_branch is not None:
pulumi.set(__self__, "git_branch", git_branch)
if git_repo is not None:
pulumi.set(__self__, "git_repo", git_repo)
if insecure is not None:
pulumi.set(__self__, "insecure", insecure)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if name is not None:
pulumi.set(__self__, "name", name)
if secret_name is not None:
pulumi.set(__self__, "secret_name", secret_name)
if secret_namespace is not None:
pulumi.set(__self__, "secret_namespace", secret_namespace)
if service_account is not None:
pulumi.set(__self__, "service_account", service_account)
if service_account_namespace is not None:
pulumi.set(__self__, "service_account_namespace", service_account_namespace)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> pulumi.Input[str]:
"""
The cluster id of the catalog V2 (string)
"""
return pulumi.get(self, "cluster_id")
@cluster_id.setter
def cluster_id(self, value: pulumi.Input[str]):
pulumi.set(self, "cluster_id", value)
@property
@pulumi.getter
def annotations(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Annotations for the catalog v2 (map)
"""
return pulumi.get(self, "annotations")
@annotations.setter
def annotations(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "annotations", value)
@property
@pulumi.getter(name="caBundle")
def ca_bundle(self) -> Optional[pulumi.Input[str]]:
"""
PEM encoded CA bundle which will be used to validate the repo's certificate (string)
"""
return pulumi.get(self, "ca_bundle")
@ca_bundle.setter
def ca_bundle(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ca_bundle", value)
@property
@pulumi.getter
def enabled(self) -> Optional[pulumi.Input[bool]]:
"""
If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
"""
return pulumi.get(self, "enabled")
@enabled.setter
def enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enabled", value)
@property
@pulumi.getter(name="gitBranch")
def git_branch(self) -> Optional[pulumi.Input[str]]:
"""
Git Repository branch containing Helm chart definitions. Default `master` (string)
"""
return pulumi.get(self, "git_branch")
@git_branch.setter
def git_branch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "git_branch", value)
@property
@pulumi.getter(name="gitRepo")
def git_repo(self) -> Optional[pulumi.Input[str]]:
"""
The url of the catalog v2 repo. Conflicts with `url` (string)
"""
return pulumi.get(self, "git_repo")
@git_repo.setter
def git_repo(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "git_repo", value)
@property
@pulumi.getter
def insecure(self) -> Optional[pulumi.Input[bool]]:
"""
Use insecure HTTPS to download the repo's index. Default: `false` (bool)
"""
return pulumi.get(self, "insecure")
@insecure.setter
def insecure(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "insecure", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Labels for the catalog v2 (map)
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the catalog v2 (string)
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="secretName")
def secret_name(self) -> Optional[pulumi.Input[str]]:
"""
K8s secret name to be used to connect to the repo (string)
"""
return pulumi.get(self, "secret_name")
@secret_name.setter
def secret_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "secret_name", value)
@property
@pulumi.getter(name="secretNamespace")
def secret_namespace(self) -> Optional[pulumi.Input[str]]:
"""
K8s secret namespace (string)
"""
return pulumi.get(self, "secret_namespace")
@secret_namespace.setter
def secret_namespace(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "secret_namespace", value)
@property
@pulumi.getter(name="serviceAccount")
def service_account(self) -> Optional[pulumi.Input[str]]:
"""
K8s service account used to deploy charts instead of the end users credentials (string)
"""
return pulumi.get(self, "service_account")
@service_account.setter
def service_account(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_account", value)
@property
@pulumi.getter(name="serviceAccountNamespace")
def service_account_namespace(self) -> Optional[pulumi.Input[str]]:
"""
The username to access the catalog if needed (string)
"""
return pulumi.get(self, "service_account_namespace")
@service_account_namespace.setter
def service_account_namespace(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_account_namespace", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
"""
URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
@pulumi.input_type
class _CatalogV2State:
def __init__(__self__, *,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
ca_bundle: Optional[pulumi.Input[str]] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
enabled: Optional[pulumi.Input[bool]] = None,
git_branch: Optional[pulumi.Input[str]] = None,
git_repo: Optional[pulumi.Input[str]] = None,
insecure: Optional[pulumi.Input[bool]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_version: Optional[pulumi.Input[str]] = None,
secret_name: Optional[pulumi.Input[str]] = None,
secret_namespace: Optional[pulumi.Input[str]] = None,
service_account: Optional[pulumi.Input[str]] = None,
service_account_namespace: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering CatalogV2 resources.
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for the catalog v2 (map)
:param pulumi.Input[str] ca_bundle: PEM encoded CA bundle which will be used to validate the repo's certificate (string)
:param pulumi.Input[str] cluster_id: The cluster id of the catalog V2 (string)
:param pulumi.Input[bool] enabled: If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
:param pulumi.Input[str] git_branch: Git Repository branch containing Helm chart definitions. Default `master` (string)
:param pulumi.Input[str] git_repo: The url of the catalog v2 repo. Conflicts with `url` (string)
:param pulumi.Input[bool] insecure: Use insecure HTTPS to download the repo's index. Default: `false` (bool)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for the catalog v2 (map)
:param pulumi.Input[str] name: The name of the catalog v2 (string)
:param pulumi.Input[str] resource_version: (Computed) The k8s resource version (string)
:param pulumi.Input[str] secret_name: K8s secret name to be used to connect to the repo (string)
:param pulumi.Input[str] secret_namespace: K8s secret namespace (string)
:param pulumi.Input[str] service_account: K8s service account used to deploy charts instead of the end users credentials (string)
:param pulumi.Input[str] service_account_namespace: The username to access the catalog if needed (string)
:param pulumi.Input[str] url: URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
if annotations is not None:
pulumi.set(__self__, "annotations", annotations)
if ca_bundle is not None:
pulumi.set(__self__, "ca_bundle", ca_bundle)
if cluster_id is not None:
pulumi.set(__self__, "cluster_id", cluster_id)
if enabled is not None:
pulumi.set(__self__, "enabled", enabled)
if git_branch is not None:
pulumi.set(__self__, "git_branch", git_branch)
if git_repo is not None:
pulumi.set(__self__, "git_repo", git_repo)
if insecure is not None:
pulumi.set(__self__, "insecure", insecure)
if labels is not None:
pulumi.set(__self__, "labels", labels)
if name is not None:
pulumi.set(__self__, "name", name)
if resource_version is not None:
pulumi.set(__self__, "resource_version", resource_version)
if secret_name is not None:
pulumi.set(__self__, "secret_name", secret_name)
if secret_namespace is not None:
pulumi.set(__self__, "secret_namespace", secret_namespace)
if service_account is not None:
pulumi.set(__self__, "service_account", service_account)
if service_account_namespace is not None:
pulumi.set(__self__, "service_account_namespace", service_account_namespace)
if url is not None:
pulumi.set(__self__, "url", url)
@property
@pulumi.getter
def annotations(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Annotations for the catalog v2 (map)
"""
return pulumi.get(self, "annotations")
@annotations.setter
def annotations(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "annotations", value)
@property
@pulumi.getter(name="caBundle")
def ca_bundle(self) -> Optional[pulumi.Input[str]]:
"""
PEM encoded CA bundle which will be used to validate the repo's certificate (string)
"""
return pulumi.get(self, "ca_bundle")
@ca_bundle.setter
def ca_bundle(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "ca_bundle", value)
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> Optional[pulumi.Input[str]]:
"""
The cluster id of the catalog V2 (string)
"""
return pulumi.get(self, "cluster_id")
@cluster_id.setter
def cluster_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "cluster_id", value)
@property
@pulumi.getter
def enabled(self) -> Optional[pulumi.Input[bool]]:
"""
If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
"""
return pulumi.get(self, "enabled")
@enabled.setter
def enabled(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "enabled", value)
@property
@pulumi.getter(name="gitBranch")
def git_branch(self) -> Optional[pulumi.Input[str]]:
"""
Git Repository branch containing Helm chart definitions. Default `master` (string)
"""
return pulumi.get(self, "git_branch")
@git_branch.setter
def git_branch(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "git_branch", value)
@property
@pulumi.getter(name="gitRepo")
def git_repo(self) -> Optional[pulumi.Input[str]]:
"""
The url of the catalog v2 repo. Conflicts with `url` (string)
"""
return pulumi.get(self, "git_repo")
@git_repo.setter
def git_repo(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "git_repo", value)
@property
@pulumi.getter
def insecure(self) -> Optional[pulumi.Input[bool]]:
"""
Use insecure HTTPS to download the repo's index. Default: `false` (bool)
"""
return pulumi.get(self, "insecure")
@insecure.setter
def insecure(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "insecure", value)
@property
@pulumi.getter
def labels(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Labels for the catalog v2 (map)
"""
return pulumi.get(self, "labels")
@labels.setter
def labels(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "labels", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the catalog v2 (string)
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="resourceVersion")
def resource_version(self) -> Optional[pulumi.Input[str]]:
"""
(Computed) The k8s resource version (string)
"""
return pulumi.get(self, "resource_version")
@resource_version.setter
def resource_version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_version", value)
@property
@pulumi.getter(name="secretName")
def secret_name(self) -> Optional[pulumi.Input[str]]:
"""
K8s secret name to be used to connect to the repo (string)
"""
return pulumi.get(self, "secret_name")
@secret_name.setter
def secret_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "secret_name", value)
@property
@pulumi.getter(name="secretNamespace")
def secret_namespace(self) -> Optional[pulumi.Input[str]]:
"""
K8s secret namespace (string)
"""
return pulumi.get(self, "secret_namespace")
@secret_namespace.setter
def secret_namespace(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "secret_namespace", value)
@property
@pulumi.getter(name="serviceAccount")
def service_account(self) -> Optional[pulumi.Input[str]]:
"""
K8s service account used to deploy charts instead of the end users credentials (string)
"""
return pulumi.get(self, "service_account")
@service_account.setter
def service_account(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_account", value)
@property
@pulumi.getter(name="serviceAccountNamespace")
def service_account_namespace(self) -> Optional[pulumi.Input[str]]:
"""
The username to access the catalog if needed (string)
"""
return pulumi.get(self, "service_account_namespace")
@service_account_namespace.setter
def service_account_namespace(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_account_namespace", value)
@property
@pulumi.getter
def url(self) -> Optional[pulumi.Input[str]]:
"""
URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
return pulumi.get(self, "url")
@url.setter
def url(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "url", value)
class CatalogV2(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
ca_bundle: Optional[pulumi.Input[str]] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
enabled: Optional[pulumi.Input[bool]] = None,
git_branch: Optional[pulumi.Input[str]] = None,
git_repo: Optional[pulumi.Input[str]] = None,
insecure: Optional[pulumi.Input[bool]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
secret_name: Optional[pulumi.Input[str]] = None,
secret_namespace: Optional[pulumi.Input[str]] = None,
service_account: Optional[pulumi.Input[str]] = None,
service_account_namespace: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a Rancher Catalog v2 resource. This can be used to create cluster helm catalogs for Rancher v2 environments and retrieve their information. Catalog v2 resource is available at Rancher v2.5.x and above.
## Import
V2 catalogs can be imported using the Rancher cluster ID and Catalog V2 name.
```sh
$ pulumi import rancher2:index/catalogV2:CatalogV2 foo <CLUSTER_ID>.<CATALOG_V2_NAME>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for the catalog v2 (map)
:param pulumi.Input[str] ca_bundle: PEM encoded CA bundle which will be used to validate the repo's certificate (string)
:param pulumi.Input[str] cluster_id: The cluster id of the catalog V2 (string)
:param pulumi.Input[bool] enabled: If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
:param pulumi.Input[str] git_branch: Git Repository branch containing Helm chart definitions. Default `master` (string)
:param pulumi.Input[str] git_repo: The url of the catalog v2 repo. Conflicts with `url` (string)
:param pulumi.Input[bool] insecure: Use insecure HTTPS to download the repo's index. Default: `false` (bool)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for the catalog v2 (map)
:param pulumi.Input[str] name: The name of the catalog v2 (string)
:param pulumi.Input[str] secret_name: K8s secret name to be used to connect to the repo (string)
:param pulumi.Input[str] secret_namespace: K8s secret namespace (string)
:param pulumi.Input[str] service_account: K8s service account used to deploy charts instead of the end users credentials (string)
:param pulumi.Input[str] service_account_namespace: The username to access the catalog if needed (string)
:param pulumi.Input[str] url: URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: CatalogV2Args,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Rancher Catalog v2 resource. This can be used to create cluster helm catalogs for Rancher v2 environments and retrieve their information. Catalog v2 resource is available at Rancher v2.5.x and above.
## Import
V2 catalogs can be imported using the Rancher cluster ID and Catalog V2 name.
```sh
$ pulumi import rancher2:index/catalogV2:CatalogV2 foo <CLUSTER_ID>.<CATALOG_V2_NAME>
```
:param str resource_name: The name of the resource.
:param CatalogV2Args args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(CatalogV2Args, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
ca_bundle: Optional[pulumi.Input[str]] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
enabled: Optional[pulumi.Input[bool]] = None,
git_branch: Optional[pulumi.Input[str]] = None,
git_repo: Optional[pulumi.Input[str]] = None,
insecure: Optional[pulumi.Input[bool]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
secret_name: Optional[pulumi.Input[str]] = None,
secret_namespace: Optional[pulumi.Input[str]] = None,
service_account: Optional[pulumi.Input[str]] = None,
service_account_namespace: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = CatalogV2Args.__new__(CatalogV2Args)
__props__.__dict__["annotations"] = annotations
__props__.__dict__["ca_bundle"] = ca_bundle
if cluster_id is None and not opts.urn:
raise TypeError("Missing required property 'cluster_id'")
__props__.__dict__["cluster_id"] = cluster_id
__props__.__dict__["enabled"] = enabled
__props__.__dict__["git_branch"] = git_branch
__props__.__dict__["git_repo"] = git_repo
__props__.__dict__["insecure"] = insecure
__props__.__dict__["labels"] = labels
__props__.__dict__["name"] = name
__props__.__dict__["secret_name"] = secret_name
__props__.__dict__["secret_namespace"] = secret_namespace
__props__.__dict__["service_account"] = service_account
__props__.__dict__["service_account_namespace"] = service_account_namespace
__props__.__dict__["url"] = url
__props__.__dict__["resource_version"] = None
super(CatalogV2, __self__).__init__(
'rancher2:index/catalogV2:CatalogV2',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
annotations: Optional[pulumi.Input[Mapping[str, Any]]] = None,
ca_bundle: Optional[pulumi.Input[str]] = None,
cluster_id: Optional[pulumi.Input[str]] = None,
enabled: Optional[pulumi.Input[bool]] = None,
git_branch: Optional[pulumi.Input[str]] = None,
git_repo: Optional[pulumi.Input[str]] = None,
insecure: Optional[pulumi.Input[bool]] = None,
labels: Optional[pulumi.Input[Mapping[str, Any]]] = None,
name: Optional[pulumi.Input[str]] = None,
resource_version: Optional[pulumi.Input[str]] = None,
secret_name: Optional[pulumi.Input[str]] = None,
secret_namespace: Optional[pulumi.Input[str]] = None,
service_account: Optional[pulumi.Input[str]] = None,
service_account_namespace: Optional[pulumi.Input[str]] = None,
url: Optional[pulumi.Input[str]] = None) -> 'CatalogV2':
"""
Get an existing CatalogV2 resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Mapping[str, Any]] annotations: Annotations for the catalog v2 (map)
:param pulumi.Input[str] ca_bundle: PEM encoded CA bundle which will be used to validate the repo's certificate (string)
:param pulumi.Input[str] cluster_id: The cluster id of the catalog V2 (string)
:param pulumi.Input[bool] enabled: If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
:param pulumi.Input[str] git_branch: Git Repository branch containing Helm chart definitions. Default `master` (string)
:param pulumi.Input[str] git_repo: The url of the catalog v2 repo. Conflicts with `url` (string)
:param pulumi.Input[bool] insecure: Use insecure HTTPS to download the repo's index. Default: `false` (bool)
:param pulumi.Input[Mapping[str, Any]] labels: Labels for the catalog v2 (map)
:param pulumi.Input[str] name: The name of the catalog v2 (string)
:param pulumi.Input[str] resource_version: (Computed) The k8s resource version (string)
:param pulumi.Input[str] secret_name: K8s secret name to be used to connect to the repo (string)
:param pulumi.Input[str] secret_namespace: K8s secret namespace (string)
:param pulumi.Input[str] service_account: K8s service account used to deploy charts instead of the end users credentials (string)
:param pulumi.Input[str] service_account_namespace: The username to access the catalog if needed (string)
:param pulumi.Input[str] url: URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _CatalogV2State.__new__(_CatalogV2State)
__props__.__dict__["annotations"] = annotations
__props__.__dict__["ca_bundle"] = ca_bundle
__props__.__dict__["cluster_id"] = cluster_id
__props__.__dict__["enabled"] = enabled
__props__.__dict__["git_branch"] = git_branch
__props__.__dict__["git_repo"] = git_repo
__props__.__dict__["insecure"] = insecure
__props__.__dict__["labels"] = labels
__props__.__dict__["name"] = name
__props__.__dict__["resource_version"] = resource_version
__props__.__dict__["secret_name"] = secret_name
__props__.__dict__["secret_namespace"] = secret_namespace
__props__.__dict__["service_account"] = service_account
__props__.__dict__["service_account_namespace"] = service_account_namespace
__props__.__dict__["url"] = url
return CatalogV2(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def annotations(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Annotations for the catalog v2 (map)
"""
return pulumi.get(self, "annotations")
@property
@pulumi.getter(name="caBundle")
def ca_bundle(self) -> pulumi.Output[Optional[str]]:
"""
PEM encoded CA bundle which will be used to validate the repo's certificate (string)
"""
return pulumi.get(self, "ca_bundle")
@property
@pulumi.getter(name="clusterId")
def cluster_id(self) -> pulumi.Output[str]:
"""
The cluster id of the catalog V2 (string)
"""
return pulumi.get(self, "cluster_id")
@property
@pulumi.getter
def enabled(self) -> pulumi.Output[Optional[bool]]:
"""
If disabled the repo clone will not be updated or allowed to be installed from. Default: `true` (bool)
"""
return pulumi.get(self, "enabled")
@property
@pulumi.getter(name="gitBranch")
def git_branch(self) -> pulumi.Output[str]:
"""
Git Repository branch containing Helm chart definitions. Default `master` (string)
"""
return pulumi.get(self, "git_branch")
@property
@pulumi.getter(name="gitRepo")
def git_repo(self) -> pulumi.Output[Optional[str]]:
"""
The url of the catalog v2 repo. Conflicts with `url` (string)
"""
return pulumi.get(self, "git_repo")
@property
@pulumi.getter
def insecure(self) -> pulumi.Output[Optional[bool]]:
"""
Use insecure HTTPS to download the repo's index. Default: `false` (bool)
"""
return pulumi.get(self, "insecure")
@property
@pulumi.getter
def labels(self) -> pulumi.Output[Mapping[str, Any]]:
"""
Labels for the catalog v2 (map)
"""
return pulumi.get(self, "labels")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
The name of the catalog v2 (string)
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="resourceVersion")
def resource_version(self) -> pulumi.Output[str]:
"""
(Computed) The k8s resource version (string)
"""
return pulumi.get(self, "resource_version")
@property
@pulumi.getter(name="secretName")
def secret_name(self) -> pulumi.Output[Optional[str]]:
"""
K8s secret name to be used to connect to the repo (string)
"""
return pulumi.get(self, "secret_name")
@property
@pulumi.getter(name="secretNamespace")
def secret_namespace(self) -> pulumi.Output[Optional[str]]:
"""
K8s secret namespace (string)
"""
return pulumi.get(self, "secret_namespace")
@property
@pulumi.getter(name="serviceAccount")
def service_account(self) -> pulumi.Output[Optional[str]]:
"""
K8s service account used to deploy charts instead of the end users credentials (string)
"""
return pulumi.get(self, "service_account")
@property
@pulumi.getter(name="serviceAccountNamespace")
def service_account_namespace(self) -> pulumi.Output[Optional[str]]:
"""
The username to access the catalog if needed (string)
"""
return pulumi.get(self, "service_account_namespace")
@property
@pulumi.getter
def url(self) -> pulumi.Output[Optional[str]]:
"""
URL to an index generated by Helm. Conflicts with `git_repo` (string)
"""
return pulumi.get(self, "url")
| 43.199005 | 218 | 0.638143 | 4,191 | 34,732 | 5.094965 | 0.049869 | 0.098909 | 0.090479 | 0.093757 | 0.918981 | 0.903807 | 0.888728 | 0.883155 | 0.876739 | 0.853744 | 0 | 0.004001 | 0.251612 | 34,732 | 803 | 219 | 43.252802 | 0.817489 | 0.294685 | 0 | 0.852391 | 1 | 0 | 0.086066 | 0.014418 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16632 | false | 0.002079 | 0.010395 | 0 | 0.276507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7bab71c99f259bb686654582377f7a0a4896c4e8 | 119 | py | Python | tests/snippets/builtin_divmod.py | gabhijit/RustPython | 3eafcbec3d687a81606556b4f6815cc6825b7ef3 | [
"MIT"
] | 1 | 2021-03-08T02:19:16.000Z | 2021-03-08T02:19:16.000Z | tests/snippets/builtin_divmod.py | gabhijit/RustPython | 3eafcbec3d687a81606556b4f6815cc6825b7ef3 | [
"MIT"
] | null | null | null | tests/snippets/builtin_divmod.py | gabhijit/RustPython | 3eafcbec3d687a81606556b4f6815cc6825b7ef3 | [
"MIT"
] | 1 | 2020-12-04T23:52:08.000Z | 2020-12-04T23:52:08.000Z | assert divmod(11, 3) == (3, 2)
assert divmod(8,11) == (0, 8)
assert divmod(0.873, 0.252) == (3.0, 0.11699999999999999)
| 29.75 | 57 | 0.621849 | 22 | 119 | 3.363636 | 0.454545 | 0.486486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.372549 | 0.142857 | 119 | 3 | 58 | 39.666667 | 0.352941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c8c4f71f44c37e3685817fa012e59f69d483a984 | 42,823 | py | Python | printio/tests/test_core.py | TaylorTree/printio | ce0bc3e30d9693220e305d33a798adf60fbbba50 | [
"MIT"
] | 2 | 2016-02-23T01:10:26.000Z | 2017-05-30T16:16:23.000Z | printio/tests/test_core.py | TaylorTree/printio | ce0bc3e30d9693220e305d33a798adf60fbbba50 | [
"MIT"
] | null | null | null | printio/tests/test_core.py | TaylorTree/printio | ce0bc3e30d9693220e305d33a798adf60fbbba50 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012, Mike Taylor
#
# This file is part of printio released under MIT license.
# See the LICENSE for more information.
"""
Test the core module.
"""
import os
import sys
import unittest
import datetime
libpath = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
if not libpath in sys.path:
sys.path.insert(1, libpath)
del libpath
from core import PrettyValue
from core import PrettyValues
class PrettyValue_ParseTestCase(unittest.TestCase):
def setUp(self):
pass
def test_test_strings(self):
pv = PrettyValue('s')
self.assertEquals(pv.atype, 's')
self.assertEquals(pv.align, '<')
self.assertEquals(pv.width, '')
self.assertEquals(pv.sign, '')
self.assertEquals(pv.precision, '')
def test_parse_rawtype_default(self):
pv = PrettyValue()
results = pv.parse_rawtype()
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_str(self):
pv = PrettyValue()
results = pv.parse_rawtype('s')
self.assertEquals(results['atype'], 's')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_int(self):
pv = PrettyValue()
results = pv.parse_rawtype('i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_float(self):
pv = PrettyValue()
results = pv.parse_rawtype('f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_date(self):
pv = PrettyValue()
results = pv.parse_rawtype('%Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_width(self):
pv = PrettyValue()
results = pv.parse_rawtype('5')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('5s')
self.assertEquals(results['atype'], 's')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('5i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('5f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('5%Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
def test_parse_rawtype_sign(self):
pv = PrettyValue()
results = pv.parse_rawtype('-')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('-5')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+5')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('-s')
self.assertEquals(results['atype'], 's')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+s')
self.assertEquals(results['atype'], 's')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype(' -i')
self.assertEquals(results['atype'], '-i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], ' ')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('-i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('- i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+ i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('-f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('- f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+ f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype(' %Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], ' ')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('-%Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('- %Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+%Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('+ %Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], None)
def test_parse_rawtype_align(self):
pv = PrettyValue()
results = pv.parse_rawtype('>')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], '>')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('<')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], '<')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('^')
self.assertEquals(results['atype'], None)
self.assertEquals(results['align'], '^')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('>i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], '>')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('^.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], '^')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('^-.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], '^')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('=+5.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], '=')
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('> %Y-%m-%d')
self.assertEquals(results['atype'], '%Y-%m-%d')
self.assertEquals(results['align'], '>')
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], ' ')
self.assertEquals(results['precision'], None)
def test_parse_rawtype_precision(self):
pv = PrettyValue()
results = pv.parse_rawtype('.')
self.assertEquals(results['atype'], '.')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('.f')
self.assertEquals(results['atype'], '.f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
results = pv.parse_rawtype('.2s')
self.assertEquals(results['atype'], 's')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('.2i')
self.assertEquals(results['atype'], 'i')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('5.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('.2 f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('-.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('- .2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], '-')
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('5.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('+5.2f')
self.assertEquals(results['atype'], 'f')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], 5)
self.assertEquals(results['sign'], '+')
self.assertEquals(results['precision'], 2)
results = pv.parse_rawtype('%H:%M.%S')
self.assertEquals(results['atype'], '%H:%M.%S')
self.assertEquals(results['align'], None)
self.assertEquals(results['width'], None)
self.assertEquals(results['sign'], None)
self.assertEquals(results['precision'], None)
class PrettyValue_FormatTestCase(unittest.TestCase):
def setUp(self):
pass
def test_format_default(self):
pv = PrettyValue()
results = pv.format('test')
self.assertEquals(results, 'test')
pv = PrettyValue('10')
results = pv.format('test')
self.assertEquals(results, 'test ')
pv = PrettyValue('>10')
results = pv.format('test')
self.assertEquals(results, ' test')
pv = PrettyValue('^10')
results = pv.format('test')
self.assertEquals(results, ' test ')
pv = PrettyValue('10')
results = pv.format(5.25)
self.assertEquals(results, '5.25 ')
self.assertRaises(ValueError, PrettyValue, '=10')
self.assertRaises(ValueError, PrettyValue, '-10')
self.assertRaises(ValueError, PrettyValue, '10.2')
def test_format_strings(self):
pv = PrettyValue('s')
results = pv.format('test')
self.assertEquals(results, 'test')
pv = PrettyValue('10s')
results = pv.format('test')
self.assertEquals(results, 'test ')
pv = PrettyValue('>10s')
results = pv.format('test')
self.assertEquals(results, ' test')
pv = PrettyValue('^10s')
results = pv.format('test')
self.assertEquals(results, ' test ')
pv = PrettyValue('10s')
results = pv.format(5.25)
self.assertEquals(results, '5.25 ')
self.assertRaises(ValueError, PrettyValue, '=10s')
self.assertRaises(ValueError, PrettyValue, '=10s')
self.assertRaises(ValueError, PrettyValue, '-10s')
self.assertRaises(ValueError, PrettyValue, '10.2s')
def test_format_ints(self):
pv = PrettyValue('i')
results = pv.format('5')
self.assertEquals(results, '5')
#no sign just size
pv = PrettyValue('10i')
results = pv.format('5')
self.assertEquals(results, ' 5')
pv = PrettyValue('<10i')
results = pv.format('5')
self.assertEquals(results, '5 ')
pv = PrettyValue('^10i')
results = pv.format('5')
self.assertEquals(results, ' 5 ')
pv = PrettyValue('< 10i')
results = pv.format('5')
self.assertEquals(results, ' 5 ')
#positive sign and size
pv = PrettyValue('+10i')
results = pv.format('5')
self.assertEquals(results, '+ 5')
pv = PrettyValue('>+10i')
results = pv.format('5')
self.assertEquals(results, ' +5')
pv = PrettyValue('<+10i')
results = pv.format('5')
self.assertEquals(results, '+5 ')
pv = PrettyValue('^+10i')
results = pv.format('5')
self.assertEquals(results, ' +5 ')
#negative number and size
pv = PrettyValue('10i')
results = pv.format('-5')
self.assertEquals(results, '- 5')
pv = PrettyValue('>10i')
results = pv.format('-5')
self.assertEquals(results, ' -5')
pv = PrettyValue('< 10i')
results = pv.format('-5')
self.assertEquals(results, '-5 ')
pv = PrettyValue('<10i')
results = pv.format('-5')
self.assertEquals(results, '-5 ')
pv = PrettyValue('^10i')
results = pv.format('-5')
self.assertEquals(results, ' -5 ')
#test float conversion to int formatting
pv = PrettyValue('i')
results = pv.format(5.25)
self.assertEquals(results, '5')
pv = PrettyValue(' i')
results = pv.format(5)
self.assertEquals(results, ' 5')
pv = PrettyValue(' i')
results = pv.format(-5)
self.assertEquals(results, '-5')
pv = PrettyValue('+10i')
results = pv.format(5)
self.assertEquals(results, '+ 5')
self.assertRaises(ValueError, PrettyValue, '10.2i')
pv = PrettyValue('i')
self.assertRaises(ValueError, pv.format, 'test')
def test_format_floats(self):
#default precision is used of 4 and it does round up.
pv = PrettyValue('f')
results = pv.format('5.256678')
self.assertEquals(results, '5.2567')
#no sign just size
pv = PrettyValue('10f')
results = pv.format('5.256678')
self.assertEquals(results, ' 5.2567')
#same size but small precision
pv = PrettyValue('10.2f')
results = pv.format('5.256678')
self.assertEquals(results, ' 5.26')
#same size but bigger precision
pv = PrettyValue('10.8f')
results = pv.format(5.256678)
self.assertEquals(results, '5.25667800')
pv = PrettyValue('<10.2f')
results = pv.format(5.256678)
self.assertEquals(results, '5.26 ')
pv = PrettyValue('^10.1f')
results = pv.format(5)
self.assertEquals(results, ' 5.0 ')
pv = PrettyValue('< 10f')
results = pv.format(5)
self.assertEquals(results, ' 5.0000 ')
#positive sign and size
pv = PrettyValue('+10f')
results = pv.format(5)
self.assertEquals(results, '+ 5.0000')
pv = PrettyValue('>+10.1f')
results = pv.format(5)
self.assertEquals(results, ' +5.0')
pv = PrettyValue('<+10.1f')
results = pv.format(5.256)
self.assertEquals(results, '+5.3 ')
pv = PrettyValue('^+10.1f')
results = pv.format(5.233)
self.assertEquals(results, ' +5.2 ')
#negative number and size
pv = PrettyValue('10f')
results = pv.format('-5.25634')
self.assertEquals(results, '- 5.2563')
pv = PrettyValue('>10.2f')
results = pv.format('-5.33333')
self.assertEquals(results, ' -5.33')
pv = PrettyValue('< 10f')
results = pv.format('-5.3333')
self.assertEquals(results, '-5.3333 ')
pv = PrettyValue('<10.2f')
results = pv.format(-5.256)
self.assertEquals(results, '-5.26 ')
pv = PrettyValue('^10.2f')
results = pv.format('-5')
self.assertEquals(results, ' -5.00 ')
pv = PrettyValue(' f')
results = pv.format(5)
self.assertEquals(results, ' 5.0000')
pv = PrettyValue(' f')
results = pv.format(-5)
self.assertEquals(results, '-5.0000')
pv = PrettyValue('f')
self.assertRaises(ValueError, pv.format, 'test')
def test_format_percents(self):
pv = PrettyValue('.2%')
results = pv.format('.0525')
self.assertEquals(results, '5.25%')
pv = PrettyValue('%')
results = pv.format('1')
self.assertEquals(results, '100.0000%')
def test_format_unknowns(self):
d = datetime.datetime(2010, 7, 4, 12, 15, 58)
pv = PrettyValue('%Y-%m-%d')
results = pv.format(d)
self.assertEquals(results, '2010-07-04')
self.assertRaises(ValueError, PrettyValue, ' %Y-%m-%d')
pv = PrettyValue('>10%Y')
results = pv.format(d)
self.assertEquals(results, ' 2010')
def test_format_fill(self):
pv = PrettyValue('10s', fill='*')
results = pv.format('test')
self.assertEquals(results, 'test******')
pv = PrettyValue('^10s', fill='-')
results = pv.format('test')
self.assertEquals(results, '---test---')
pv = PrettyValue('^10i', fill='-')
results = pv.format('5')
self.assertEquals(results, '----5-----')
pv = PrettyValue('^+10.2f', fill='-')
results = pv.format(5.23456)
self.assertEquals(results, '--+5.23---')
pv = PrettyValue('10i', fill=0)
results = pv.format(5)
self.assertEquals(results, '0000000005')
pv = PrettyValue('-10i', fill=0)
results = pv.format(-5)
self.assertEquals(results, '-000000005')
pv = PrettyValue('>10i', fill=0)
results = pv.format(-5)
self.assertEquals(results, '00000000-5')
pv = PrettyValue('=10i', fill=0)
results = pv.format(-5)
self.assertEquals(results, '-000000005')
pv = PrettyValue(' 10i', fill=0)
results = pv.format(5)
self.assertEquals(results, ' 000000005')
def test_maxwidth(self):
pv = PrettyValue('10s')
results = pv.format('test')
self.assertEquals(pv.maxwidth, 10)
pv = PrettyValue('10s')
results = pv.format('testing is lots of fun')
self.assertEquals(pv.maxwidth, 22)
pv = PrettyValue('i')
results = pv.format(5123)
self.assertEquals(pv.maxwidth, 4)
pv = PrettyValue('5.1f')
results = pv.format(5123.23456)
self.assertEquals(pv.maxwidth, 6)
class PrettyValues_TestCase(unittest.TestCase):
def setUp(self):
pass
def test_format_list(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = [0, 'yhoo', 23.45]
results = pv.format([values])
self.assertEquals(results[0], ['0', 'Column2', '2 '])
self.assertEquals(results[1], ['0', 'yhoo ', '+23.45'])
self.assertEquals(len(results), 2)
def test_format_dict(self):
pv = PrettyValues()
pv.newcol('bar', 'i')
pv.newcol('sym', cname='Column2')
pv.newcol('close', '+5.2f')
values = {'bar': 0, 'sym': 'yhoo', 'close': 23.45}
results = pv.format([values])
self.assertEquals(results[0], ['bar', 'Column2', 'close '])
self.assertEquals(results[1], [' 0', 'yhoo ', '+23.45'])
self.assertEquals(len(results), 2)
def test_nokey_dict(self):
pv = PrettyValues()
pv.newcol(vformat='i')
pv.newcol(cname='Column2')
pv.newcol(vformat='+5.2f')
values = {'bar': 0, 'sym': 'yhoo', 'close': 23.45}
self.assertRaises(KeyError, pv.format, [values])
def test_format_lol(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.format(values)
self.assertEquals(results[0], ['0', 'Column2', '2 '])
self.assertEquals(results[1], ['0', 'yhoo ', '+ 23.45'])
self.assertEquals(results[2], ['1', 'goog ', '+200.46'])
self.assertEquals(results[3], ['2', 'newp ', '+ 1.00'])
self.assertEquals(len(results), 4)
def test_nokey_lol(self):
pv = PrettyValues()
pv.newcol(vformat='i')
pv.newcol(cname='Column2')
pv.newcol(vformat='+5.2f')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.format(values)
self.assertEquals(results[0], ['0', 'Column2', '2 '])
self.assertEquals(results[1], ['0', 'yhoo ', '+ 23.45'])
self.assertEquals(results[2], ['1', 'goog ', '+200.46'])
self.assertEquals(results[3], ['2', 'newp ', '+ 1.00'])
self.assertEquals(len(results), 4)
def test_dupcol_lol(self):
pv = PrettyValues()
pv.newcol(vformat='i')
pv.newcol(cname='Column2')
pv.newcol(1)
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.format(values)
self.assertEquals(results[0], ['0', 'Column2', '1 '])
self.assertEquals(results[1], ['0', 'yhoo ', 'yhoo'])
self.assertEquals(results[2], ['1', 'goog ', 'goog'])
self.assertEquals(results[3], ['2', 'newp ', 'newp'])
self.assertEquals(len(results), 4)
def test_format_lol_noheader(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
values.append([3, 'nan', 'nan'])
values.append([4, 'newp', 'inf'])
values.append([5, 'newp', '-inf'])
results = pv.format(values, useheader=False)
self.assertEquals(results[0], ['0', 'yhoo', '+ 23.45'])
self.assertEquals(results[1], ['1', 'goog', '+200.46'])
self.assertEquals(results[2], ['2', 'newp', '+ 1.00'])
self.assertEquals(results[3], ['3', 'nan ', ' nan'])
self.assertEquals(results[4], ['4', 'newp', '+ inf'])
self.assertEquals(results[5], ['5', 'newp', '- inf'])
self.assertEquals(len(results), 6)
def test_format_lol_inf_1(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+1.1f')
values = []
values.append([0, 'yhoo', 2])
values.append([1, 'goog', 5])
values.append([2, 'newp', 1])
values.append([3, 'nan', 'nan'])
values.append([4, 'newp', 'inf'])
values.append([5, 'newp', '-inf'])
results = pv.format(values, useheader=False)
self.assertEquals(results[0], ['0', 'yhoo', '+2.0'])
self.assertEquals(results[1], ['1', 'goog', '+5.0'])
self.assertEquals(results[2], ['2', 'newp', '+1.0'])
self.assertEquals(results[3], ['3', 'nan ', ' nan'])
self.assertEquals(results[4], ['4', 'newp', '+inf'])
self.assertEquals(results[5], ['5', 'newp', '-inf'])
self.assertEquals(len(results), 6)
def test_format_lol_inf_2(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '=1.1f')
values = []
values.append([0, 'yhoo', 2])
values.append([1, 'goog', 5])
values.append([2, 'newp', 1])
values.append([3, 'nan', 'nan'])
values.append([4, 'newp', 'inf'])
values.append([5, 'newp', '-inf'])
results = pv.format(values, useheader=False)
self.assertEquals(results[0], ['0', 'yhoo', ' 2.0'])
self.assertEquals(results[1], ['1', 'goog', ' 5.0'])
self.assertEquals(results[2], ['2', 'newp', ' 1.0'])
self.assertEquals(results[3], ['3', 'nan ', ' nan'])
self.assertEquals(results[4], ['4', 'newp', ' inf'])
self.assertEquals(results[5], ['5', 'newp', '-inf'])
self.assertEquals(len(results), 6)
def test_format_lol_inf_3(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '=5.1f')
values = []
values.append([0, 'yhoo', 2])
values.append([1, 'goog', 5])
values.append([2, 'newp', 1])
values.append([3, 'nan', 'nan'])
values.append([4, 'newp', 'inf'])
values.append([5, 'newp', '+inf'])
values.append([6, 'newp', '-inf'])
results = pv.format(values, useheader=False)
self.assertEquals(results[0], ['0', 'yhoo', ' 2.0'])
self.assertEquals(results[1], ['1', 'goog', ' 5.0'])
self.assertEquals(results[2], ['2', 'newp', ' 1.0'])
self.assertEquals(results[3], ['3', 'nan ', ' nan'])
self.assertEquals(results[4], ['4', 'newp', ' inf'])
self.assertEquals(results[5], ['5', 'newp', ' inf'])
self.assertEquals(results[6], ['6', 'newp', '- inf'])
self.assertEquals(len(results), 7)
def test_format_lol_inf_4(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '=+5.1f')
values = []
values.append([0, 'yhoo', 2])
values.append([1, 'goog', 5])
values.append([2, 'newp', 1])
values.append([3, 'nan', 'nan'])
values.append([4, 'newp', 'inf'])
values.append([5, 'newp', '+inf'])
values.append([6, 'newp', '-inf'])
results = pv.format(values, useheader=False)
self.assertEquals(results[0], ['0', 'yhoo', '+ 2.0'])
self.assertEquals(results[1], ['1', 'goog', '+ 5.0'])
self.assertEquals(results[2], ['2', 'newp', '+ 1.0'])
self.assertEquals(results[3], ['3', 'nan ', ' nan'])
self.assertEquals(results[4], ['4', 'newp', '+ inf'])
self.assertEquals(results[5], ['5', 'newp', '+ inf'])
self.assertEquals(results[6], ['6', 'newp', '- inf'])
self.assertEquals(len(results), 7)
def test_format_lol_nocolumns(self):
pv = PrettyValues()
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.format(values)
self.assertEquals(results[0], ['0', '1 ', '2 '])
self.assertEquals(results[1], ['0', 'yhoo', '23.45 '])
self.assertEquals(results[2], ['1', 'goog', '200.4565'])
self.assertEquals(results[3], ['2', 'newp', '1.0 '])
self.assertEquals(len(results), 4)
def test_text_lol(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.text(values).split('\n')
self.assertEquals(results[0], '+---+---------+---------+')
self.assertEquals(results[1], '| 0 | Column2 | 2 |')
self.assertEquals(results[2], '+---+---------+---------+')
self.assertEquals(results[3], '| 0 | yhoo | + 23.45 |')
self.assertEquals(results[4], '| 1 | goog | +200.46 |')
self.assertEquals(results[5], '| 2 | newp | + 1.00 |')
self.assertEquals(results[6], '+---+---------+---------+')
self.assertEquals(len(results), 7)
def test_text_title1(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.text(values, title="Test Title 1").split('\n')
self.assertEquals(results[0], '+-----------------------+')
self.assertEquals(results[1], '| Test Title 1 |')
self.assertEquals(results[2], '+---+---------+---------+')
self.assertEquals(results[3], '| 0 | Column2 | 2 |')
self.assertEquals(results[4], '+---+---------+---------+')
self.assertEquals(results[5], '| 0 | yhoo | + 23.45 |')
self.assertEquals(results[6], '| 1 | goog | +200.46 |')
self.assertEquals(results[7], '| 2 | newp | + 1.00 |')
self.assertEquals(results[8], '+---+---------+---------+')
self.assertEquals(len(results), 9)
def test_text_title_trunc(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, '+5.2f')
values = []
values.append([0, 23.45])
values.append([1, 200.4565])
values.append([2, 1.00])
results = pv.text(values, title="Test Title 2").split('\n')
self.assertEquals(results[0], '+-------------+')
self.assertEquals(results[1], '| Test Title |')
self.assertEquals(results[2], '+---+---------+')
self.assertEquals(results[3], '| 0 | 1 |')
self.assertEquals(results[4], '+---+---------+')
self.assertEquals(results[5], '| 0 | + 23.45 |')
self.assertEquals(results[6], '| 1 | +200.46 |')
self.assertEquals(results[7], '| 2 | + 1.00 |')
self.assertEquals(results[8], '+---+---------+')
self.assertEquals(len(results), 9)
def test_text_title_small(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, '+5.2f')
values = []
values.append([0, 23.45])
values.append([1, 200.4565])
values.append([2, 1.00])
results = pv.text(values, title="Title").split('\n')
self.assertEquals(results[0], '+-------------+')
self.assertEquals(results[1], '| Title |')
self.assertEquals(results[2], '+---+---------+')
self.assertEquals(results[3], '| 0 | 1 |')
self.assertEquals(results[4], '+---+---------+')
self.assertEquals(results[5], '| 0 | + 23.45 |')
self.assertEquals(results[6], '| 1 | +200.46 |')
self.assertEquals(results[7], '| 2 | + 1.00 |')
self.assertEquals(results[8], '+---+---------+')
self.assertEquals(len(results), 9)
def test_text_title_1col(self):
pv = PrettyValues()
pv.newcol(0, '+5.2f')
values = []
values.append([23.45])
values.append([200.4565])
values.append([1.00])
results = pv.text(values, title="Title").split('\n')
self.assertEquals(results[0], '+---------+')
self.assertEquals(results[1], '| Title |')
self.assertEquals(results[2], '+---------+')
self.assertEquals(results[3], '| 0 |')
self.assertEquals(results[4], '+---------+')
self.assertEquals(results[5], '| + 23.45 |')
self.assertEquals(results[6], '| +200.46 |')
self.assertEquals(results[7], '| + 1.00 |')
self.assertEquals(results[8], '+---------+')
self.assertEquals(len(results), 9)
def test_format_lod(self):
pv = PrettyValues()
pv.newcol('bar', 'i')
pv.newcol('sym', cname='Symbol')
pv.newcol('close', '+5.2f')
values = []
values.append({'bar': 0, 'sym': 'yhoo', 'close': 23.45})
values.append({'bar': 1, 'sym': 'goog', 'close': 200.4565})
values.append({'bar': 2, 'sym': 'newp', 'close': 1.00})
results = pv.format(values)
self.assertEquals(results[0], ['bar', 'Symbol', 'close '])
self.assertEquals(results[1], [' 0', 'yhoo ', '+ 23.45'])
self.assertEquals(results[2], [' 1', 'goog ', '+200.46'])
self.assertEquals(results[3], [' 2', 'newp ', '+ 1.00'])
self.assertEquals(len(results), 4)
def test_format_lod_nocolumns(self):
pv = PrettyValues()
values = []
values.append({'bar': 0, 'sym': 'yhoo', 'close': 23.45})
values.append({'bar': 1, 'sym': 'goog', 'close': 200.4565})
values.append({'bar': 2, 'sym': 'newp', 'close': 1.00})
results = pv.format(values)
self.assertEquals(results[0], ['close ', 'bar', 'sym '])
self.assertEquals(results[1], ['23.45 ', '0 ', 'yhoo'])
self.assertEquals(results[2], ['200.4565', '1 ', 'goog'])
self.assertEquals(results[3], ['1.0 ', '2 ', 'newp'])
self.assertEquals(len(results), 4)
def test_text_list(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, cname='Column2')
pv.newcol(2, '+5.2f')
values = [0, 'yhoo', 23.45]
results = pv.text([values]).split('\n')
self.assertEquals(results[0], '+---+---------+--------+')
self.assertEquals(results[1], '| 0 | Column2 | 2 |')
self.assertEquals(results[2], '+---+---------+--------+')
self.assertEquals(results[3], '| 0 | yhoo | +23.45 |')
self.assertEquals(results[4], '+---+---------+--------+')
self.assertEquals(len(results), 5)
def test_text_dict(self):
pv = PrettyValues()
pv.newcol('bar', 'i')
pv.newcol('sym', cname='Column2')
pv.newcol('close', '+5.2f')
values = {'bar': 0, 'sym': 'yhoo', 'close': 23.45}
results = pv.text([values]).split('\n')
self.assertEquals(results[0], '+-----+---------+--------+')
self.assertEquals(results[1], '| bar | Column2 | close |')
self.assertEquals(results[2], '+-----+---------+--------+')
self.assertEquals(results[3], '| 0 | yhoo | +23.45 |')
self.assertEquals(results[4], '+-----+---------+--------+')
self.assertEquals(len(results), 5)
def test_text_lod(self):
pv = PrettyValues()
pv.newcol('bar', 'i')
pv.newcol('sym', cname='Symbol')
pv.newcol('close', '+5.2f')
values = []
values.append({'bar': 0, 'sym': 'yhoo', 'close': 23.45})
values.append({'bar': 1, 'sym': 'goog', 'close': 200.4565})
values.append({'bar': 2, 'sym': 'newp', 'close': 1.00})
values.append({'bar': 3, 'sym': 'nan', 'close': 'nan'})
results = pv.text(values).split('\n')
self.assertEquals(results[0], '+-----+--------+---------+')
self.assertEquals(results[1], '| bar | Symbol | close |')
self.assertEquals(results[2], '+-----+--------+---------+')
self.assertEquals(results[3], '| 0 | yhoo | + 23.45 |')
self.assertEquals(results[4], '| 1 | goog | +200.46 |')
self.assertEquals(results[5], '| 2 | newp | + 1.00 |')
self.assertEquals(results[6], '| 3 | nan | nan |')
self.assertEquals(results[7], '+-----+--------+---------+')
self.assertEquals(len(results), 8)
def test_format_fill(self):
pv = PrettyValues()
pv.newcol(0, 'i')
pv.newcol(1, vfill='.', cname='Column2')
pv.newcol(2, '+5.2f', cname='Close', cformat='^', cfill='_')
values = []
values.append([0, 'yhoo', 23.45])
values.append([1, 'goog', 200.4565])
values.append([2, 'newp', 1.00])
results = pv.format(values)
self.assertEquals(results[0], ['0', 'Column2', '_Close_'])
self.assertEquals(results[1], ['0', 'yhoo...', '+ 23.45'])
self.assertEquals(results[2], ['1', 'goog...', '+200.46'])
self.assertEquals(results[3], ['2', 'newp...', '+ 1.00'])
self.assertEquals(len(results), 4)
def test_format_invalids(self):
pv = PrettyValues()
pv.newcol('open')
values = []
values.append({'bar': 0, 'sym': 'yhoo', 'close': 23.45})
self.assertRaises(KeyError, pv.format, values)
pv = PrettyValues()
pv.newcol(2)
values = []
values.append([0, 'yhoo'])
self.assertRaises(IndexError, pv.format, values)
if __name__ == "__main__":
unittest.main()
| 34.90057 | 72 | 0.553698 | 4,673 | 42,823 | 5.036807 | 0.044297 | 0.316098 | 0.424098 | 0.130773 | 0.927688 | 0.912308 | 0.892637 | 0.874495 | 0.854824 | 0.830777 | 0 | 0.042625 | 0.25164 | 42,823 | 1,226 | 73 | 34.929038 | 0.691828 | 0.010905 | 0 | 0.73774 | 0 | 0 | 0.13116 | 0.00952 | 0 | 0 | 0 | 0 | 0.510661 | 1 | 0.047974 | false | 0.003198 | 0.006397 | 0 | 0.057569 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
c8df7632dfd8522ae453b756a9ee57817604a8c6 | 9,138 | py | Python | tests/api/service/test_docker.py | hoominkani/dagda | 8818ab96807c9755955b66ac6db6847ee4001c81 | [
"Apache-2.0"
] | 947 | 2016-11-25T10:48:30.000Z | 2022-03-30T20:09:00.000Z | tests/api/service/test_docker.py | hoominkani/dagda | 8818ab96807c9755955b66ac6db6847ee4001c81 | [
"Apache-2.0"
] | 96 | 2016-11-28T10:58:50.000Z | 2021-10-19T18:32:12.000Z | tests/api/service/test_docker.py | hoominkani/dagda | 8818ab96807c9755955b66ac6db6847ee4001c81 | [
"Apache-2.0"
] | 148 | 2016-11-28T12:33:46.000Z | 2022-03-02T01:57:21.000Z | #
# Licensed to Dagda under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Dagda licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
import unittest
from unittest.mock import patch
from dagda.api.service.docker import get_all_docker_images
from dagda.api.service.docker import get_all_running_containers
from dagda.api.service.docker import sizeof_fmt
# -- Test suite
class DockerApiTestCase(unittest.TestCase):
# -- Mock internal classes
class MockDockerDriverEmpty():
class MockDockerClient():
def containers(self):
return []
def images(self):
return []
def get_docker_client(self):
return self.MockDockerClient()
class MockDockerDriver():
class MockDockerClient():
def containers(self):
return [{'Image': 'mongo', 'Mounts': [{'Destination': '/data/configdb', 'Driver': 'local', 'Name': '4a26849615bb3f54ccc2f1833010826550f07bfcda279d76b3c4f3b79c61063c', 'Mode': '', 'Propagation': '', 'Source': '/var/lib/docker/volumes/4a26849615bb3f54ccc2f1833010826550f07bfcda279d76b3c4f3b79c61063c/_data', 'RW': True}, {'Destination': '/data/db', 'Driver': 'local', 'Name': '1fb738b171443c654f163850b1eb873902a9c018e87706512c15e0fc78406005', 'Mode': '', 'Propagation': '', 'Source': '/var/lib/docker/volumes/1fb738b171443c654f163850b1eb873902a9c018e87706512c15e0fc78406005/_data', 'RW': True}], 'Command': '/entrypoint.sh mongod', 'Ports': [{'Type': 'tcp', 'PrivatePort': 27017}], 'NetworkSettings': {'Networks': {'bridge': {'EndpointID': 'fa5b09bf01d1752cc411618c1884e7035c6f8af4138f6a6e5e6f1c883215a398', 'IPPrefixLen': 16, 'IPAMConfig': None, 'GlobalIPv6Address': '', 'IPv6Gateway': '', 'MacAddress': '02:42:ac:11:00:03', 'Aliases': None, 'IPAddress': '172.17.0.3', 'NetworkID': '4b40ec6b168d22e8c619cf07590c13f9a265df4c30f38b240a201c6ccb2524a8', 'Gateway': '172.17.0.1', 'Links': None, 'GlobalIPv6PrefixLen': 0}}}, 'State': 'running', 'ImageID': 'sha256:86e302671af465e21742fb4932322012da8abaff5134a7dd194dc47944461549', 'Names': ['/prickly_ride'], 'HostConfig': {'NetworkMode': 'default'}, 'Id': 'eeec610d87717e43894a66b38fabc93615189a9a22e57240a4f3749289f1ba01', 'Status': 'Up 1 seconds', 'Created': 1484414163, 'Labels': {}}, {'Image': 'jboss/wildfly', 'Mounts': [], 'Command': '/opt/jboss/wildfly/bin/standalone.sh -b 0.0.0.0', 'Ports': [{'Type': 'tcp', 'PrivatePort': 8080}], 'NetworkSettings': {'Networks': {'bridge': {'EndpointID': '38bc01e7286d10891806420b072c40409f27f96767dae694244ffa7d72d47aa2', 'IPPrefixLen': 16, 'IPAMConfig': None, 'GlobalIPv6Address': '', 'IPv6Gateway': '', 'MacAddress': '02:42:ac:11:00:02', 'Aliases': None, 'IPAddress': '172.17.0.2', 'NetworkID': '4b40ec6b168d22e8c619cf07590c13f9a265df4c30f38b240a201c6ccb2524a8', 'Gateway': '172.17.0.1', 'Links': None, 'GlobalIPv6PrefixLen': 0}}}, 'State': 'running', 'ImageID': 'sha256:f916ed31837d0ec79bd239a398c13d40ec93dcaa0dad6bb3ac36ab4953161f0f', 'Names': ['/stupefied_stallman'], 'HostConfig': {'NetworkMode': 'default'}, 'Id': 'ee1a32ddfffd2e3b66c76dc53eef432dfb07b4c90b8224613dcb6be8ab105320', 'Status': 'Up 10 seconds', 'Created': 1484414156, 'Labels': {'license': 'GPLv2', 'build-date': '20161102', 'vendor': 'CentOS', 'name': 'CentOS Base Image'}}]
def images(self):
return [{'Labels': {}, 'RepoTags': None, 'Id': 'sha256:f846515186f0734c327efcfa43b484d78220ab8b274d5e54b170a1c6144c6cbd', 'VirtualSize': 100893927, 'Size': 100893927, 'Created': 1483873177, 'ParentId': 'sha256:e5e28ce5c45699575583264ae9be9f35b6af76d13308192e01e3ace65d73b5a7', 'RepoDigests': None}, {'Labels': {}, 'RepoTags': ['python:3.4.5-alpine'], 'Id': 'sha256:0eb0091592b3d8aab929e19041330d307e0e3302cf58ae8753276a2860c45037', 'VirtualSize': 82364493, 'Size': 82364493, 'Created': 1482874759, 'ParentId': '', 'RepoDigests': ['python@sha256:a4bae34fb471e7093e74fc57ea3dc580635d2821d55c4a7ad727e254f34a882a']}, {'Labels': None, 'RepoTags': ['alpine:latest'], 'Id': 'sha256:88e169ea8f46ff0d0df784b1b254a15ecfaf045aee1856dca1ec242fdd231ddd', 'VirtualSize': 3979756, 'Size': 3979756, 'Created': 1482862645, 'ParentId': '', 'RepoDigests': ['alpine@sha256:dfbd4a3a8ebca874ebd2474f044a0b33600d4523d03b0df76e5c5986cb02d7e8']}, {'Labels': {'RUN': 'docker run -i -t -v /var/run/docker.sock:/host/var/run/docker.sock -v /dev:/host/dev -v /proc:/host/proc:ro -v /boot:/host/boot:ro -v /lib/modules:/host/lib/modules:ro -v /usr:/host/usr:ro --name NAME IMAGE'}, 'RepoTags': ['sysdig/falco:latest'], 'Id': 'sha256:285353e9835de79f7402bb2866f2e8552584a348305c545d7287a81dc2014f0e', 'VirtualSize': 346035227, 'Size': 346035227, 'Created': 1482449119, 'ParentId': '', 'RepoDigests': ['sysdig/falco@sha256:64a19373892d5b0cadccb2cb3925cd343a9ee210db543e44cb74c8b8ac016413']}, {'Labels': {}, 'RepoTags': ['redis:latest'], 'Id': 'sha256:d59dc9e6d0bf135e969796ba00c9f458e3b65c47d8a7349a3d6e0974ec02e103', 'VirtualSize': 182896153, 'Size': 182896153, 'Created': 1481743509, 'ParentId': '', 'RepoDigests': ['redis@sha256:eed4da4937cb562e9005f3c66eb8c3abc14bb95ad497c03dc89d66bcd172fc7f']}, {'Labels': {}, 'RepoTags': ['mongo:latest', 'mongo:latest'], 'Id': 'sha256:86e302671af465e21742fb4932322012da8abaff5134a7dd194dc47944461549', 'VirtualSize': 401895934, 'Size': 401895934, 'Created': 1480543691, 'ParentId': '', 'RepoDigests': ['mongo@sha256:d929ffc5d0871712198be82c475397e5e9c71f3d2a9fa4b304f623ad09ad204b', 'mongo@sha256:d929ffc5d0871712198be82c475397e5e9c71f3d2a9fa4b304f623ad09ad204b']}, {'Labels': {'vendor': 'CentOS', 'build-date': '20161102', 'name': 'CentOS Base Image', 'license': 'GPLv2'}, 'RepoTags': ['jboss/wildfly:latest', 'jboss/wildfly:latest'], 'Id': 'sha256:f916ed31837d0ec79bd239a398c13d40ec93dcaa0dad6bb3ac36ab4953161f0f', 'VirtualSize': 582564927, 'Size': 582564927, 'Created': 1479505764, 'ParentId': '', 'RepoDigests': ['jboss/wildfly@sha256:12dde9a59c2f64387114c5587455eae8b1bd4264f8c1a1679b2d2e656e5502a6', 'jboss/wildfly@sha256:12dde9a59c2f64387114c5587455eae8b1bd4264f8c1a1679b2d2e656e5502a6']}, {'Labels': {}, 'RepoTags': ['deepfenceio/deepfence_depcheck:latest', 'deepfenceio/deepfence_depcheck:latest'], 'Id': 'sha256:c18ba084d113f47a05ed8d40a004443f92525e42c99dce512a88576396fa457e', 'VirtualSize': 884997791, 'Size': 884997791, 'Created': 1476433732, 'ParentId': '', 'RepoDigests': ['deepfenceio/deepfence_depcheck@sha256:7412104b40657cb535091eae71f6e5bca14befbba25de669969276e5365fc4fb', 'deepfenceio/deepfence_depcheck@sha256:7412104b40657cb535091eae71f6e5bca14befbba25de669969276e5365fc4fb']}]
def get_docker_client(self):
return self.MockDockerClient()
# -- Tests
def test_sizeof_fmt(self):
response = sizeof_fmt(1099511627776.0)
self.assertEqual(response, '1.0YB')
@patch('api.internal.internal_server.InternalServer.get_docker_driver', return_value=MockDockerDriver())
def test_get_all_docker_images(self, m1):
response = get_all_docker_images()
self.assertEqual(response, mock_images_result)
@patch('api.internal.internal_server.InternalServer.get_docker_driver', return_value=MockDockerDriver())
def test_get_all_running_containers(self, m1):
response = get_all_running_containers()
self.assertEqual(response, mock_containers_result)
# -- Mock Constants
mock_images_result = '[{"created": "2017-01-08 10:59:37", "id": "f846515186f0", "size": "96.2MB", "tags": ["None:None"]}, {"created": "2016-12-27 21:39:19", "id": "0eb0091592b3", "size": "78.5MB", "tags": ["python:3.4.5-alpine"]}, {"created": "2016-12-27 18:17:25", "id": "88e169ea8f46", "size": "3.8MB", "tags": ["alpine:latest"]}, {"created": "2016-12-22 23:25:19", "id": "285353e9835d", "size": "330.0MB", "tags": ["sysdig/falco:latest"]}, {"created": "2016-12-14 19:25:09", "id": "d59dc9e6d0bf", "size": "174.4MB", "tags": ["redis:latest"]}, {"created": "2016-11-30 22:08:11", "id": "86e302671af4", "size": "383.3MB", "tags": ["mongo:latest"]}, {"created": "2016-11-18 21:49:24", "id": "f916ed31837d", "size": "555.6MB", "tags": ["jboss/wildfly:latest"]}, {"created": "2016-10-14 08:28:52", "id": "c18ba084d113", "size": "844.0MB", "tags": ["deepfenceio/deepfence_depcheck:latest"]}]'
mock_containers_result = '[{"created": "2017-01-14 17:16:03", "id": "eeec610d8771", "image": "mongo", "name": "prickly_ride", "status": "running"}, {"created": "2017-01-14 17:15:56", "id": "ee1a32ddfffd", "image": "jboss/wildfly", "name": "stupefied_stallman", "status": "running"}]'
if __name__ == '__main__':
unittest.main()
| 111.439024 | 3,228 | 0.729262 | 873 | 9,138 | 7.561283 | 0.363116 | 0.014543 | 0.012725 | 0.008635 | 0.214664 | 0.159218 | 0.133313 | 0.121194 | 0.09544 | 0.09544 | 0 | 0.238443 | 0.10046 | 9,138 | 81 | 3,229 | 112.814815 | 0.564599 | 0.085686 | 0 | 0.378378 | 0 | 0.108108 | 0.653745 | 0.333293 | 0 | 0 | 0 | 0 | 0.081081 | 1 | 0.243243 | false | 0 | 0.135135 | 0.162162 | 0.675676 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
cdbbdaba8d260e7a2c449c117fbc91171d1068f5 | 7,377 | py | Python | tests/unit/altimeter/aws/test_resource_service_region_mapping.py | elliotsegler/altimeter | c3924524938b4bae86b1acda2a4fc3f79ac523ff | [
"MIT"
] | 48 | 2019-11-06T03:20:53.000Z | 2022-02-22T21:10:45.000Z | tests/unit/altimeter/aws/test_resource_service_region_mapping.py | elliotsegler/altimeter | c3924524938b4bae86b1acda2a4fc3f79ac523ff | [
"MIT"
] | 27 | 2020-01-07T23:48:30.000Z | 2022-02-26T00:24:04.000Z | tests/unit/altimeter/aws/test_resource_service_region_mapping.py | elliotsegler/altimeter | c3924524938b4bae86b1acda2a4fc3f79ac523ff | [
"MIT"
] | 21 | 2019-12-20T03:06:35.000Z | 2021-12-15T23:26:00.000Z | import json
import unittest
import unittest.mock
from altimeter.aws.resource.resource_spec import ScanGranularity
from altimeter.aws.resource_service_region_mapping import (
build_aws_resource_region_mapping_repo,
NoRegionsFoundForResource,
)
from altimeter.aws.scan.settings import ALL_RESOURCE_SPEC_CLASSES
class TestAWSResourceRegionMappingRepository(unittest.TestCase):
def test_with_empty_global_region_whitelist(self):
sample_data_filepath = "tests/data/aws_service_region_mapping/20210329202700.json"
with open(sample_data_filepath, "r") as fp:
region_services_json = json.load(fp)
with unittest.mock.patch(
"altimeter.aws.resource_service_region_mapping.get_aws_service_region_mapping_json"
) as mock_get_aws_service_region_mapping_json:
mock_get_aws_service_region_mapping_json.return_value = region_services_json
mapping_repo = build_aws_resource_region_mapping_repo(
global_region_whitelist=(),
preferred_account_scan_regions=("us-east-1",),
services_regions_json_url="https://mock_url",
)
for resource_spec_class in ALL_RESOURCE_SPEC_CLASSES:
scan_regions = mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=()
)
if resource_spec_class.scan_granularity == ScanGranularity.ACCOUNT:
self.assertEqual(scan_regions, ("us-east-1",))
else:
self.assertGreaterEqual(len(scan_regions), 1)
def test_with_populated_global_region_whitelist(self):
sample_data_filepath = "tests/data/aws_service_region_mapping/20210329202700.json"
with open(sample_data_filepath, "r") as fp:
region_services_json = json.load(fp)
with unittest.mock.patch(
"altimeter.aws.resource_service_region_mapping.get_aws_service_region_mapping_json"
) as mock_get_aws_service_region_mapping_json:
mock_get_aws_service_region_mapping_json.return_value = region_services_json
mapping_repo = build_aws_resource_region_mapping_repo(
global_region_whitelist=("us-east-1", "us-east-2", "us-west-1", "us-west-2"),
preferred_account_scan_regions=("us-east-1",),
services_regions_json_url="https://mock_url",
)
for resource_spec_class in ALL_RESOURCE_SPEC_CLASSES:
scan_regions = mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=()
)
if resource_spec_class.scan_granularity == ScanGranularity.ACCOUNT:
self.assertEqual(scan_regions, ("us-east-1",))
else:
self.assertGreaterEqual(len(scan_regions), 1)
self.assertLessEqual(len(scan_regions), 4)
def test_with_under_populated_global_region_whitelist(self):
sample_data_filepath = "tests/data/aws_service_region_mapping/20210329202700.json"
with open(sample_data_filepath, "r") as fp:
region_services_json = json.load(fp)
with unittest.mock.patch(
"altimeter.aws.resource_service_region_mapping.get_aws_service_region_mapping_json"
) as mock_get_aws_service_region_mapping_json:
mock_get_aws_service_region_mapping_json.return_value = region_services_json
mapping_repo = build_aws_resource_region_mapping_repo(
global_region_whitelist=("us-east-2", "us-west-1", "us-west-2"),
preferred_account_scan_regions=("us-east-1",),
services_regions_json_url="https://mock_url",
)
for resource_spec_class in ALL_RESOURCE_SPEC_CLASSES:
if resource_spec_class.scan_granularity == ScanGranularity.ACCOUNT:
with self.assertRaises(NoRegionsFoundForResource):
mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=()
)
else:
scan_regions = mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=()
)
self.assertGreaterEqual(len(scan_regions), 1)
self.assertLessEqual(len(scan_regions), 4)
def test_with_populated_account_region_whitelist(self):
sample_data_filepath = "tests/data/aws_service_region_mapping/20210329202700.json"
with open(sample_data_filepath, "r") as fp:
region_services_json = json.load(fp)
with unittest.mock.patch(
"altimeter.aws.resource_service_region_mapping.get_aws_service_region_mapping_json"
) as mock_get_aws_service_region_mapping_json:
mock_get_aws_service_region_mapping_json.return_value = region_services_json
mapping_repo = build_aws_resource_region_mapping_repo(
global_region_whitelist=("us-east-1", "us-east-2", "us-west-1", "us-west-2"),
preferred_account_scan_regions=("us-east-1",),
services_regions_json_url="https://mock_url",
)
for resource_spec_class in ALL_RESOURCE_SPEC_CLASSES:
scan_regions = mapping_repo.get_regions(
resource_spec_class=resource_spec_class,
region_whitelist=("us-east-1", "us-east-2"),
)
if resource_spec_class.scan_granularity == ScanGranularity.ACCOUNT:
self.assertEqual(scan_regions, ("us-east-1",))
else:
self.assertGreaterEqual(len(scan_regions), 1)
self.assertLessEqual(len(scan_regions), 2)
def test_with_under_populated_account_region_whitelist(self):
sample_data_filepath = "tests/data/aws_service_region_mapping/20210329202700.json"
with open(sample_data_filepath, "r") as fp:
region_services_json = json.load(fp)
with unittest.mock.patch(
"altimeter.aws.resource_service_region_mapping.get_aws_service_region_mapping_json"
) as mock_get_aws_service_region_mapping_json:
mock_get_aws_service_region_mapping_json.return_value = region_services_json
mapping_repo = build_aws_resource_region_mapping_repo(
global_region_whitelist=("us-east-1", "us-east-2", "us-west-1", "us-west-2"),
preferred_account_scan_regions=("us-east-1",),
services_regions_json_url="https://mock_url",
)
for resource_spec_class in ALL_RESOURCE_SPEC_CLASSES:
if resource_spec_class.scan_granularity == ScanGranularity.ACCOUNT:
with self.assertRaises(NoRegionsFoundForResource):
mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=("us-east-2")
)
else:
scan_regions = mapping_repo.get_regions(
resource_spec_class=resource_spec_class, region_whitelist=("us-east-2")
)
self.assertEqual(len(scan_regions), 1)
| 55.466165 | 99 | 0.657584 | 834 | 7,377 | 5.36211 | 0.081535 | 0.093023 | 0.116279 | 0.102862 | 0.931351 | 0.926655 | 0.910331 | 0.910331 | 0.908542 | 0.908542 | 0 | 0.019383 | 0.265691 | 7,377 | 132 | 100 | 55.886364 | 0.806166 | 0 | 0 | 0.736 | 0 | 0 | 0.137996 | 0.093534 | 0 | 0 | 0 | 0 | 0.104 | 1 | 0.04 | false | 0 | 0.048 | 0 | 0.096 | 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 |
b5408e262799d428051e4f1a430f682de2e055b0 | 4,255 | py | Python | histloss/histogram_loss.py | stat-ml/hist-loss | bb64faf4bfa3c6e0d695dc0393ed21c6cc707e7f | [
"Apache-2.0"
] | 6 | 2021-06-14T10:15:58.000Z | 2022-02-14T09:25:45.000Z | histloss/histogram_loss.py | stat-ml/hist-loss | bb64faf4bfa3c6e0d695dc0393ed21c6cc707e7f | [
"Apache-2.0"
] | null | null | null | histloss/histogram_loss.py | stat-ml/hist-loss | bb64faf4bfa3c6e0d695dc0393ed21c6cc707e7f | [
"Apache-2.0"
] | 1 | 2021-07-15T02:23:42.000Z | 2021-07-15T02:23:42.000Z | import torch
from torch import Tensor
from histloss.base_hist_loss import BaseHistLoss
from histloss.utils import norm_min_max_distributuions
class HistogramLoss(BaseHistLoss):
"""
Histogram Loss
Args:
bins (int, optional): .Default: `10`
min_val (float, optional): Default: `-1`
max_val (float, optional): Default: `1`
alpha (float, optional): parameter for regularization. Default: `0`
Shape:
- positive: set of positive points, (N, *)
- negative: set of negative points, (M, *)
- loss: scalar
Examples::
>>> criterion = HistogramLoss()
>>> positive = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> negative = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> loss = criterion(positive, negative)
>>> loss.backward()
Reference:
E. Ustinova and V. Lempitsky: Learning Deep Embeddings with Histogram Loss:
https://arxiv.org/pdf/1611.00822.pdf
"""
def forward(self, positive: Tensor, negative: Tensor):
self.t = self.t.to(device=positive.device)
positive, negative = norm_min_max_distributuions(positive, negative)
pos_hist = self.compute_histogram(positive) # h_pos
neg_hist = self.compute_histogram(negative) # h_neg
pos_cum = torch.cumsum(pos_hist, 0) # phi_pos
hist_loss = (neg_hist * pos_cum).sum() # 4 equation of the paper
# Not in the article, own improvements
std_loss = self.std_loss(positive, negative)
loss = hist_loss + std_loss
return loss
class InvHistogramLoss(BaseHistLoss):
"""
Inverse Histogram Loss
Args:
bins (int, optional): .Default: `10`
min_val (float, optional): Default: `-1`
max_val (float, optional): Default: `1`
alpha (float, optional): parameter for regularization. Default: `0`
Shape:
- positive: set of positive points, (N, *)
- negative: set of negative points, (M, *)
- loss: scalar
Examples::
>>> criterion = InvHistogramLoss()
>>> positive = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> negative = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> loss = criterion(positive, negative)
>>> loss.backward()
"""
def forward(self, positive: Tensor, negative: Tensor):
self.t = self.t.to(device=positive.device)
positive, negative = norm_min_max_distributuions(positive, negative)
pos_hist = self.compute_histogram(positive)
neg_hist = self.compute_histogram(negative)
neg_inv_cum = neg_hist.flip(0).cumsum(0).flip(0)
inv_hist_loss = (pos_hist * neg_inv_cum).sum()
std_loss = self.std_loss(positive, negative)
loss = inv_hist_loss + std_loss
return loss
class BiHistogramLoss(BaseHistLoss):
"""
Biderctional Histogram Loss
Args:
bins (int, optional): .Default: `10`
min_val (float, optional): Default: `-1`
max_val (float, optional): Default: `1`
alpha (float, optional): parameter for regularization. Default: `0`
Shape:
- positive: set of positive points, (N, *)
- negative: set of negative points, (M, *)
- loss: scalar
Examples::
>>> criterion = BiHistogramLoss()
>>> positive = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> negative = torch.sigmoid(torch.randn(10, requires_grad=True))
>>> loss = criterion(positive, negative)
>>> loss.backward()
"""
def forward(self, positive: Tensor, negative: Tensor):
self.t = self.t.to(device=positive.device)
positive, negative = norm_min_max_distributuions(positive, negative)
pos_hist = self.compute_histogram(positive) # h_pos
pos_cum = torch.cumsum(pos_hist, 0)
neg_hist = self.compute_histogram(negative) # h_neg
neg_inv_cum = neg_hist.flip(0).cumsum(0).flip(0)
hist_loss = (neg_hist * pos_cum).sum()
inv_hist_loss = (pos_hist * neg_inv_cum).sum()
std_loss = self.std_loss(positive, negative)
loss = hist_loss + inv_hist_loss + std_loss
return loss
| 34.593496 | 83 | 0.628672 | 501 | 4,255 | 5.171657 | 0.189621 | 0.074103 | 0.037051 | 0.053261 | 0.837129 | 0.837129 | 0.82362 | 0.775376 | 0.723659 | 0.723659 | 0 | 0.014191 | 0.254759 | 4,255 | 122 | 84 | 34.877049 | 0.802901 | 0.483666 | 0 | 0.74359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.102564 | 0 | 0.333333 | 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 |
a93a852e709aac3c1d4479c977b97ef92586ef75 | 1,442 | py | Python | 1-10/8_largest_product_in_a_series.py | sebranly/project-euler | 9e944126d936db92962ab66e9968bab57aa1af88 | [
"MIT"
] | null | null | null | 1-10/8_largest_product_in_a_series.py | sebranly/project-euler | 9e944126d936db92962ab66e9968bab57aa1af88 | [
"MIT"
] | null | null | null | 1-10/8_largest_product_in_a_series.py | sebranly/project-euler | 9e944126d936db92962ab66e9968bab57aa1af88 | [
"MIT"
] | null | null | null | string = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450"
number = 13
length = len(string)
i = 0
max_product = 0
while (i + number - 1 < length):
if (string[i + number - 1] == '0'):
i += number
elif (string[i] == '0'):
i += 1
else:
j = 0
product = 1
while (j < number):
product *= int(string[i + j])
j += 1
if (product > max_product):
max_product = product
i += 1
print(max_product)
| 65.545455 | 1,011 | 0.833564 | 58 | 1,442 | 20.655172 | 0.310345 | 0.023372 | 0.013356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.800158 | 0.122053 | 1,442 | 21 | 1,012 | 68.666667 | 0.14613 | 0 | 0 | 0.1 | 0 | 0 | 0.69535 | 0.693963 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a993a938d335a29b1db371e929b2a6f0be4bca0b | 16,657 | py | Python | metaci/testresults/migrations/0001_initial.py | sebastianocostanzo/MetaCI | a880a8b1caa7cf1445f220b6c2e4f83fe8d38312 | [
"BSD-3-Clause"
] | null | null | null | metaci/testresults/migrations/0001_initial.py | sebastianocostanzo/MetaCI | a880a8b1caa7cf1445f220b6c2e4f83fe8d38312 | [
"BSD-3-Clause"
] | null | null | null | metaci/testresults/migrations/0001_initial.py | sebastianocostanzo/MetaCI | a880a8b1caa7cf1445f220b6c2e4f83fe8d38312 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-01-10 16:38
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('repository', '0001_initial'),
('build', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='TestClass',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=255)),
('repo', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='testclasses', to='repository.Repository')),
],
options={
'verbose_name': 'Test Class',
'verbose_name_plural': 'Test Classes',
},
),
migrations.CreateModel(
name='TestCodeUnit',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('unit', models.TextField(db_index=True)),
('unit_type', models.CharField(db_index=True, max_length=255)),
('duration', models.FloatField(blank=True, db_index=True, null=True)),
('event', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('sobject', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('email_invocations_used', models.IntegerField(blank=True, db_index=True, null=True)),
('email_invocations_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('soql_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('soql_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('future_calls_used', models.IntegerField(blank=True, db_index=True, null=True)),
('future_calls_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('cpu_time_used', models.IntegerField(blank=True, db_index=True, null=True)),
('cpu_time_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('query_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('query_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_statements_used', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_statements_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('mobile_apex_push_used', models.IntegerField(blank=True, db_index=True, null=True)),
('mobile_apex_push_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('heap_size_used', models.IntegerField(blank=True, db_index=True, null=True)),
('heap_size_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('sosl_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('sosl_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('queueable_jobs_used', models.IntegerField(blank=True, db_index=True, null=True)),
('queueable_jobs_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('callouts_used', models.IntegerField(blank=True, db_index=True, null=True)),
('callouts_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_email_invocations_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_email_invocations_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_soql_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_soql_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_future_calls_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_future_calls_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_cpu_time_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_cpu_time_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_query_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_query_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_statements_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_statements_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_mobile_apex_push_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_mobile_apex_push_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_heap_size_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_heap_size_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_sosl_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_sosl_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_queueable_jobs_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_queueable_jobs_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_callouts_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_callouts_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('parent', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='children', to='testresults.TestCodeUnit')),
],
options={
'verbose_name': 'Test Code Unit',
'verbose_name_plural': 'Test Code Units',
},
),
migrations.CreateModel(
name='TestMethod',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=255)),
('testclass', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='methods', to='testresults.TestClass')),
],
options={
'verbose_name': 'Test Method',
},
),
migrations.CreateModel(
name='TestResult',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('duration', models.FloatField(blank=True, db_index=True, null=True)),
('outcome', models.CharField(choices=[(b'Pass', b'Pass'), (b'CompileFail', b'CompileFail'), (b'Fail', b'Fail'), (b'Skip', b'Skip')], db_index=True, max_length=16)),
('stacktrace', models.TextField(blank=True, null=True)),
('message', models.TextField(blank=True, null=True)),
('email_invocations_used', models.IntegerField(blank=True, db_index=True, null=True)),
('email_invocations_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('email_invocations_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('soql_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('soql_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('soql_queries_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('future_calls_used', models.IntegerField(blank=True, db_index=True, null=True)),
('future_calls_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('future_calls_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_rows_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('cpu_time_used', models.IntegerField(blank=True, db_index=True, null=True)),
('cpu_time_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('cpu_time_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('query_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('query_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('query_rows_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_statements_used', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_statements_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('dml_statements_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('mobile_apex_push_used', models.IntegerField(blank=True, db_index=True, null=True)),
('mobile_apex_push_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('mobile_apex_push_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('heap_size_used', models.IntegerField(blank=True, db_index=True, null=True)),
('heap_size_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('heap_size_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('sosl_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('sosl_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('sosl_queries_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('queueable_jobs_used', models.IntegerField(blank=True, db_index=True, null=True)),
('queueable_jobs_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('queueable_jobs_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('callouts_used', models.IntegerField(blank=True, db_index=True, null=True)),
('callouts_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('callouts_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_email_invocations_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_email_invocations_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_email_invocations_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_soql_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_soql_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_soql_queries_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_future_calls_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_future_calls_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_future_calls_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_rows_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_cpu_time_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_cpu_time_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_cpu_time_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_query_rows_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_query_rows_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_query_rows_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_statements_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_statements_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_dml_statements_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_mobile_apex_push_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_mobile_apex_push_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_mobile_apex_push_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_heap_size_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_heap_size_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_heap_size_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_sosl_queries_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_sosl_queries_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_sosl_queries_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_queueable_jobs_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_queueable_jobs_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_queueable_jobs_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('test_callouts_used', models.IntegerField(blank=True, db_index=True, null=True)),
('test_callouts_allowed', models.IntegerField(blank=True, db_index=True, null=True)),
('test_callouts_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('worst_limit', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('worst_limit_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('worst_limit_nontest', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('worst_limit_nontest_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('worst_limit_test', models.CharField(blank=True, db_index=True, max_length=255, null=True)),
('worst_limit_test_percent', models.IntegerField(blank=True, db_index=True, null=True)),
('build_flow', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='test_results', to='build.BuildFlow')),
('method', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='test_results', to='testresults.TestMethod')),
],
options={
'verbose_name': 'Test Result',
'verbose_name_plural': 'Test Results',
},
),
migrations.AddField(
model_name='testcodeunit',
name='testresult',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='codeunits', to='testresults.TestResult'),
),
]
| 80.859223 | 180 | 0.648076 | 1,970 | 16,657 | 5.224365 | 0.062944 | 0.091819 | 0.144287 | 0.202099 | 0.900894 | 0.896813 | 0.891372 | 0.891372 | 0.88768 | 0.883016 | 0 | 0.003888 | 0.212523 | 16,657 | 205 | 181 | 81.253659 | 0.780743 | 0.004082 | 0 | 0.634518 | 1 | 0 | 0.197637 | 0.10539 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.005076 | 0.015228 | 0 | 0.035533 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8d11b0fc3a76bb47fb05443ff8d8e332e1260164 | 1,668 | py | Python | pythonUtils/CollectionMeasures/corrs_measures.py | tgquintela/pythonUtils | 6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe | [
"MIT"
] | 1 | 2015-07-21T05:15:11.000Z | 2015-07-21T05:15:11.000Z | pythonUtils/CollectionMeasures/corrs_measures.py | tgquintela/pythonUtils | 6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe | [
"MIT"
] | null | null | null | pythonUtils/CollectionMeasures/corrs_measures.py | tgquintela/pythonUtils | 6f2e5ba3be67a48d3cd5cf72dcabfae04cfa7afe | [
"MIT"
] | null | null | null |
"""
correlation measures
--------------------
Collection of measures from correlation information.
"""
import numpy as np
def measure_corrs_mean(corrs, params=None):
"""Measure based on computing the mean of the non-auto correlation values.
Parameters
----------
corrs: np.ndarray
the correlation matrix.
params: optional (default=None)
the parameters needed to compute the output measure.
Returns
-------
measure: float
the computed measure from corrs.
"""
corrs = corrs/corrs[0, 0]
corrs = corrs - np.eye(corrs.shape[0])
return corrs.mean()
def measure_corrs_std(corrs, params=None):
"""Measure based on computing the std of the non-auto correlation values.
Parameters
----------
corrs: np.ndarray
the correlation matrix.
params: optional (default=None)
the parameters needed to compute the output measure.
Returns
-------
measure: float
the computed measure from corrs.
"""
corrs = corrs/corrs[0, 0]
corrs = corrs - np.eye(corrs.shape[0])
return corrs.std()
def measure_corrs_sumstd(corrs, params=None):
"""Measure based on computing the std of the sum of all the non-auto
correlation values per each element.
Parameters
----------
corrs: np.ndarray
the correlation matrix.
params: optional (default=None)
the parameters needed to compute the output measure.
Returns
-------
measure: float
the computed measure from corrs.
"""
corrs = corrs/corrs[0, 0]
corrs = corrs - np.eye(corrs.shape[0])
return np.sum(corrs, axis=1).std()
| 22.540541 | 78 | 0.628297 | 206 | 1,668 | 5.058252 | 0.23301 | 0.115163 | 0.086372 | 0.06334 | 0.818618 | 0.792706 | 0.792706 | 0.792706 | 0.753359 | 0.753359 | 0 | 0.008013 | 0.251799 | 1,668 | 73 | 79 | 22.849315 | 0.826923 | 0.61211 | 0 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
8d450c33b1d43d1f4a63ad34fec64c18a165e68e | 2,666 | py | Python | kivy/tests/test_uix_boxlayout.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 13,889 | 2015-01-01T06:43:41.000Z | 2022-03-31T17:37:56.000Z | kivy/tests/test_uix_boxlayout.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 4,570 | 2015-01-01T17:58:52.000Z | 2022-03-31T18:42:16.000Z | kivy/tests/test_uix_boxlayout.py | Galland/kivy | 95a6bf279883d706f645e4629c16d5ee1038f0ec | [
"MIT"
] | 3,786 | 2015-01-01T09:20:45.000Z | 2022-03-30T21:15:05.000Z | '''
Box layout unit test
====================
Order matter.
On the screen, most of example must have the red->blue->green order.
'''
from kivy.tests.common import GraphicUnitTest
class UIXBoxLayoutTestcase(GraphicUnitTest):
def box(self, r, g, b):
from kivy.uix.widget import Widget
from kivy.graphics import Color, Rectangle
wid = Widget()
with wid.canvas:
Color(r, g, b)
r = Rectangle(pos=wid.pos, size=wid.size)
def linksp(instance, *largs):
r.pos = instance.pos
r.size = instance.size
wid.bind(pos=linksp, size=linksp)
return wid
def test_boxlayout_orientation(self):
from kivy.uix.boxlayout import BoxLayout
r = self.render
b = self.box
layout = BoxLayout()
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
layout = BoxLayout(orientation='vertical')
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
def test_boxlayout_spacing(self):
from kivy.uix.boxlayout import BoxLayout
r = self.render
b = self.box
layout = BoxLayout(spacing=20)
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
layout = BoxLayout(spacing=20, orientation='vertical')
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
def test_boxlayout_padding(self):
from kivy.uix.boxlayout import BoxLayout
r = self.render
b = self.box
layout = BoxLayout(padding=20)
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
layout = BoxLayout(padding=20, orientation='vertical')
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
def test_boxlayout_padding_spacing(self):
from kivy.uix.boxlayout import BoxLayout
r = self.render
b = self.box
layout = BoxLayout(spacing=20, padding=20)
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
layout = BoxLayout(spacing=20, padding=20, orientation='vertical')
layout.add_widget(b(1, 0, 0))
layout.add_widget(b(0, 1, 0))
layout.add_widget(b(0, 0, 1))
r(layout)
| 28.063158 | 74 | 0.575769 | 376 | 2,666 | 3.994681 | 0.146277 | 0.143808 | 0.23968 | 0.255659 | 0.724368 | 0.724368 | 0.724368 | 0.724368 | 0.724368 | 0.724368 | 0 | 0.04666 | 0.292573 | 2,666 | 94 | 75 | 28.361702 | 0.749735 | 0.046887 | 0 | 0.628571 | 0 | 0 | 0.012633 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.1 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 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 | 7 |
8d70a6151eb2c98dbb304e93c39f1d143b4624a7 | 167 | py | Python | pyramda/isinstance_test.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 124 | 2015-07-30T21:34:25.000Z | 2022-02-19T08:45:50.000Z | pyramda/isinstance_test.py | sergiors/pyramda | 5bf200888809b1bc946e813e29460f204bccd13e | [
"MIT"
] | 37 | 2015-08-31T23:02:20.000Z | 2022-02-04T04:45:28.000Z | ramda/isinstance_test.py | slavaGanzin/pyramda | 4fa7fe28d5eaa798b702d28bdd3948515cb88f48 | [
"MIT"
] | 20 | 2015-08-04T18:59:09.000Z | 2021-12-13T08:08:59.000Z | from .isinstance import isinstance
def isinstance_nocurry_test():
assert isinstance(str, "foo")
def isinstance_curry_test():
assert isinstance(str)("foo")
| 16.7 | 34 | 0.742515 | 20 | 167 | 6 | 0.5 | 0.216667 | 0.333333 | 0.383333 | 0.433333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149701 | 167 | 9 | 35 | 18.555556 | 0.84507 | 0 | 0 | 0 | 0 | 0 | 0.035928 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.4 | true | 0 | 0.2 | 0 | 0.6 | 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 | 0 | 0 | 1 | 0 | 0 | 8 |
8d94e58ec5f9d2cff87708c98df0437a12100b4d | 14,216 | py | Python | tests/test_windows/test_ui_console_window.py | lionel42/pygame_gui | 27b51f5b811b4569bc463566bc9f2d82ada119f6 | [
"MIT"
] | null | null | null | tests/test_windows/test_ui_console_window.py | lionel42/pygame_gui | 27b51f5b811b4569bc463566bc9f2d82ada119f6 | [
"MIT"
] | null | null | null | tests/test_windows/test_ui_console_window.py | lionel42/pygame_gui | 27b51f5b811b4569bc463566bc9f2d82ada119f6 | [
"MIT"
] | null | null | null | import os
import pygame
import pytest
from tests.shared_comparators import compare_surfaces
from pygame_gui.ui_manager import UIManager
from pygame_gui.windows.ui_console_window import UIConsoleWindow
try:
# mouse button constants not defined in pygame 1.9.3
pygame.BUTTON_LEFT
pygame.BUTTON_MIDDLE
pygame.BUTTON_RIGHT
except AttributeError:
pygame.BUTTON_LEFT = 1
pygame.BUTTON_MIDDLE = 2
pygame.BUTTON_RIGHT = 3
class TestUIConsoleWindow:
def test_creation(self, _init_pygame, default_ui_manager,
_display_surface_return_none):
UIConsoleWindow(
rect=pygame.rect.Rect((0, 0), (700, 500)),
manager=default_ui_manager)
def test_command_entry_finished(self, _init_pygame, default_ui_manager,
_display_surface_return_none):
console_window = UIConsoleWindow(rect=pygame.rect.Rect((0, 0), (700, 500)),
manager=default_ui_manager)
console_window.command_entry.set_text('<b>A line of text to log</b>')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
logged_line = console_window.log_prefix + '<b>A line of text to log</b><br>'
assert console_window.log.appended_text == logged_line
assert console_window.command_entry.get_text() == ''
console_window.set_logged_commands_escape_html(should_escape=False)
console_window.command_entry.set_text('<b>A second line of text to log</b>')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
logged_lines = (console_window.log_prefix + '<b>A line of text to log</b><br>' +
console_window.log_prefix + '<b>A second line of text to log</b><br>')
assert console_window.log.appended_text == logged_lines
assert console_window.command_entry.get_text() == ''
def test_log_prefix(self, _init_pygame, default_ui_manager,
_display_surface_return_none):
console_window = UIConsoleWindow(rect=pygame.rect.Rect((0, 0), (700, 500)),
manager=default_ui_manager)
console_window.set_log_prefix('++ ')
console_window.command_entry.set_text('A line of text to log')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
logged_line = '++ A line of text to log<br>'
assert console_window.log.appended_text == logged_line
console_window.set_log_prefix('-- ')
console_window.command_entry.set_text('A second line of text to log')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
logged_lines = '++ A line of text to log<br>-- A second line of text to log<br>'
assert console_window.log.appended_text == logged_lines
console_window.restore_default_prefix()
console_window.command_entry.set_text('A third line of text to log')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
logged_lines = ('++ A line of text to log<br>'
'-- A second line of text to log<br>'
'> A third line of text to log<br>')
assert console_window.log.appended_text == logged_lines
def test_add_output_line_to_log(self, _init_pygame, default_ui_manager,
_display_surface_return_none):
console_window = UIConsoleWindow(rect=pygame.rect.Rect((0, 0), (700, 500)),
manager=default_ui_manager)
console_window.add_output_line_to_log('line to add')
assert console_window.log.appended_text == '<b>line to add</b><br>'
console_window.add_output_line_to_log('second line to add, no line break',
is_bold=False,
remove_line_break=True)
assert console_window.log.appended_text == ('<b>line to add</b><br>'
'second line to add, no line break')
console_window.add_output_line_to_log('third <i>line</i> to add, escape html',
escape_html=True)
assert console_window.log.appended_text == ('<b>line to add</b><br>'
'second line to add, no line break'
'<b>third <i>line</i> to add,'
' escape html</b><br>')
def test_scroll_log_with_arrow_keys(self, _init_pygame, default_ui_manager,
_display_surface_return_none):
console_window = UIConsoleWindow(rect=pygame.rect.Rect((0, 0), (700, 500)),
manager=default_ui_manager)
console_window.command_entry.set_text('A first command')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
console_window.command_entry.set_text('A second command')
event_data = {'button': pygame.BUTTON_LEFT,
'pos': console_window.command_entry.rect.center}
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONDOWN, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.MOUSEBUTTONUP, event_data))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_RETURN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_RETURN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == ""
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_UP}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_UP}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A second command'
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_UP}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_UP}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A first command'
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_DOWN}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_DOWN}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A second command'
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_UP}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_UP}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A first command'
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_BACKSPACE}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_BACKSPACE}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A first comman'
default_ui_manager.process_events(pygame.event.Event(pygame.KEYDOWN,
{'key': pygame.K_UP}))
default_ui_manager.process_events(pygame.event.Event(pygame.KEYUP,
{'key': pygame.K_UP}))
for event in pygame.event.get():
default_ui_manager.process_events(event)
for event in pygame.event.get():
default_ui_manager.process_events(event)
assert console_window.command_entry.get_text() == 'A second command'
if __name__ == '__main__':
pytest.console_main()
| 47.072848 | 100 | 0.591235 | 1,603 | 14,216 | 4.948846 | 0.069869 | 0.087357 | 0.153284 | 0.191353 | 0.906971 | 0.904702 | 0.904702 | 0.880121 | 0.865246 | 0.849237 | 0 | 0.004735 | 0.316615 | 14,216 | 301 | 101 | 47.229236 | 0.811837 | 0.003517 | 0 | 0.740741 | 0 | 0.013889 | 0.070889 | 0.001624 | 0 | 0 | 0 | 0 | 0.078704 | 1 | 0.023148 | false | 0 | 0.027778 | 0 | 0.055556 | 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 |
8d9e89125b8036c9b69744df0274b33a490ab0de | 129 | py | Python | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_radio.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 82 | 2016-06-29T17:24:43.000Z | 2021-04-16T06:49:17.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_radio.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/leopard/calculators/calc_radio.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 56 | 2016-08-02T10:50:50.000Z | 2021-07-19T08:57:34.000Z | from pyradioconfig.parts.lynx.calculators.calc_radio import CALC_Radio_lynx
class calc_radio_leopard(CALC_Radio_lynx):
pass | 25.8 | 75 | 0.852713 | 19 | 129 | 5.421053 | 0.578947 | 0.349515 | 0.252427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 129 | 5 | 76 | 25.8 | 0.880342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
a5de7419a4885f300a918f7f8b53140bcabf0c3d | 147 | py | Python | tods/sk_interface/__init__.py | ZhuangweiKang/tods | fe3f55f8ccb306dd292c668e0f1154f1afdfa556 | [
"Apache-2.0"
] | 544 | 2020-09-21T06:02:33.000Z | 2022-03-27T07:16:32.000Z | tods/sk_interface/__init__.py | ZhuangweiKang/tods | fe3f55f8ccb306dd292c668e0f1154f1afdfa556 | [
"Apache-2.0"
] | 35 | 2020-09-21T06:33:13.000Z | 2022-03-11T14:20:21.000Z | tods/sk_interface/__init__.py | ZhuangweiKang/tods | fe3f55f8ccb306dd292c668e0f1154f1afdfa556 | [
"Apache-2.0"
] | 86 | 2020-09-21T16:44:33.000Z | 2022-03-11T18:20:22.000Z | from tods.sk_interface.data_ensemble import *
from tods.sk_interface.feature_analysis import *
from tods.sk_interface.detection_algorithm import *
| 36.75 | 51 | 0.857143 | 21 | 147 | 5.714286 | 0.52381 | 0.2 | 0.25 | 0.475 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081633 | 147 | 3 | 52 | 49 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
570c076e19b4e5f18417216326799e7d149dbdb8 | 1,583 | py | Python | encommon/tests/test_stdout.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | encommon/tests/test_stdout.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | encommon/tests/test_stdout.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | #==============================================================================#
# Enasis Network Common Libraries #
# Python Functions Logging and Standard Output #
#==============================================================================#
# Primary Functions for Logging and Standard Output #
# : - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - #
# : Logging and Standard Output messages #
#==============================================================================#
#------------------------------------------------------------------------------#
# Primary Functions for Logging and Standard Output #
#------------------------------------------------------------------------------#
#
#~~ Logging and Standard Output ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Handle the standard messages generated by various procedures in the software
#-----------------------------------------------------------------------------
def test_messages(capsys):
#
# Import the module and functions relevant to this particular set of tests
from encommon.stdout import messages
#
# Assert the relevant conditions indicating either test success or failure
assert messages({"msg": "Testing 123"}, "err")
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
#------------------------------------------------------------------------------#
| 56.535714 | 80 | 0.305117 | 81 | 1,583 | 5.950617 | 0.580247 | 0.103734 | 0.186722 | 0.248963 | 0.278008 | 0.278008 | 0.278008 | 0.278008 | 0.278008 | 0.278008 | 0 | 0.002414 | 0.214782 | 1,583 | 27 | 81 | 58.62963 | 0.385358 | 0.87808 | 0 | 0 | 0 | 0 | 0.106918 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
57382df410cede55ae8ce42c16fb36f59b052e85 | 6,092 | py | Python | src/synthingie/filters.py | luciotorre/synthingie | 77872b6c63d26002fcb705b48bedc6bcd1c3828e | [
"BSD-3-Clause"
] | 6 | 2020-05-23T18:40:35.000Z | 2021-02-16T21:01:08.000Z | src/synthingie/filters.py | luciotorre/synthingie | 77872b6c63d26002fcb705b48bedc6bcd1c3828e | [
"BSD-3-Clause"
] | null | null | null | src/synthingie/filters.py | luciotorre/synthingie | 77872b6c63d26002fcb705b48bedc6bcd1c3828e | [
"BSD-3-Clause"
] | 2 | 2020-05-11T13:41:33.000Z | 2020-06-27T16:35:47.000Z | from numba.core.decorators import njit
import numpy as np
import numba as nb
from .core import Signal, signal
from .oscillators import Sin # NOQA
@njit([
nb.types.Tuple((nb.float32, nb.float32))(
nb.int64, nb.float32, nb.float32, nb.float32[:], nb.float32[:], nb.float32[:]
)
])
def first_order_low_pass(samplerate, xz1, yz1, signal, frequency, output):
for n in range(output.shape[0]):
theta = 2 * np.pi * frequency[n] / samplerate
gamma = np.cos(theta) / (1 + np.sin(theta))
a0 = (1 - gamma) / 2
a1 = a0
b1 = -gamma
output[n] = a0 * signal[n] + a1 * xz1 - b1 * yz1
xz1 = signal[n]
yz1 = output[n]
return xz1, yz1
@signal('lop1')
class FirstOrderLowPass(Signal):
"""
>>> audio = Sin(1000).render(1)
>>> expected_sin_rms = pytest.approx(1 / np.sqrt(2))
>>> sin_rms = audio.rms()
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(2048).lop1(1024).render(1)
>>> assert audio.rms() < sin_rms / 2
>>> audio = Sin(1024).lop1(2048).render(1)
>>> assert sin_rms == expected_sin_rms
"""
signal: Signal
frequency: Signal
def setup(self):
self.xz1 = 0
self.yz1 = 0
def __call__(self):
self.xz1, self.yz1 = first_order_low_pass(
self.samplerate, self.xz1, self.yz1, self.signal.output,
self.frequency.output, self.output)
@njit([
nb.types.Tuple((nb.float32, nb.float32))(
nb.int64, nb.float32, nb.float32, nb.float32[:], nb.float32[:], nb.float32[:]
)
])
def first_order_hi_pass(samplerate, xz1, yz1, signal, frequency, output):
for n in range(output.shape[0]):
theta = 2 * np.pi * frequency[n] / samplerate
gamma = np.cos(theta) / (1 + np.sin(theta))
a0 = (1 + gamma) / 2
a1 = -a0
b1 = -gamma
output[n] = a0 * signal[n] + a1 * xz1 - b1 * yz1
xz1 = signal[n]
yz1 = output[n]
return xz1, yz1
@signal('hip1')
class FirstOrderhiPass(Signal):
"""
>>> audio = Sin(1000).render(1)
>>> expected_sin_rms = pytest.approx(1 / np.sqrt(2))
>>> sin_rms = audio.rms()
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(2048).hip1(1024).render(1)
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(1024).hip1(2048).render(1)
>>> assert audio.rms() < sin_rms / 2
"""
signal: Signal
frequency: Signal
def setup(self):
self.xz1 = 0
self.yz1 = 0
def __call__(self):
self.xz1, self.yz1 = first_order_hi_pass(
self.samplerate, self.xz1, self.yz1, self.signal.output,
self.frequency.output, self.output)
@njit([
nb.types.Tuple((nb.float32, nb.float32, nb.float32, nb.float32))(
nb.int64, nb.float32, nb.float32, nb.float32,
nb.float32, nb.float32[:], nb.float32[:], nb.float32[:], nb.float32[:]
)
])
def second_order_low_pass(samplerate, xz1, yz1, xz2, yz2, signal, cutoff, Q, output):
for n in range(output.shape[0]):
theta = 2 * np.pi * cutoff[n] / samplerate
d = 1 / Q[n]
beta_p = (d / 2) * np.sin(theta)
beta = 0.5 * (1 - beta_p) / (1 + beta_p)
gamma = (0.5 + beta) * np.cos(theta)
a0 = (0.5 + beta - gamma) / 2.0
a1 = 0.5 + beta - gamma
a2 = a0
b1 = -2 * gamma
b2 = 2 * beta
output[n] = a0 * signal[n] + a1 * xz1 - b1 * yz1 + a2 * xz2 - b2 * yz2
xz2 = xz1
xz1 = signal[n]
yz2 = yz1
yz1 = output[n]
return xz1, yz1, xz2, yz2
@signal('lop')
class SecondOrderLowPass(Signal):
"""
>>> audio = Sin(1000).render(1)
>>> expected_sin_rms = pytest.approx(1 / np.sqrt(2))
>>> sin_rms = audio.rms()
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(2048).lop(1024).render(1)
>>> assert audio.rms() < sin_rms / 3
>>> audio = Sin(1024).lop(2048).render(1)
>>> assert sin_rms == expected_sin_rms
"""
signal: Signal
cutoff: Signal
Q: Signal = 0.707
def setup(self):
self.xz1 = 0
self.yz1 = 0
self.xz2 = 0
self.yz2 = 0
def __call__(self):
self.xz1, self.yz1, self.xz2, self.yz2 = second_order_low_pass(
self.samplerate, self.xz1, self.yz1, self.xz2, self.yz2, self.signal.output,
self.cutoff.output, self.Q.output, self.output)
@njit([
nb.types.Tuple((nb.float32, nb.float32, nb.float32, nb.float32))(
nb.int64, nb.float32, nb.float32, nb.float32,
nb.float32, nb.float32[:], nb.float32[:], nb.float32[:], nb.float32[:]
)
])
def second_order_hi_pass(samplerate, xz1, yz1, xz2, yz2, signal, cutoff, Q, output):
for n in range(output.shape[0]):
theta = 2 * np.pi * cutoff[n] / samplerate
d = 1 / Q[n]
beta_p = (d / 2) * np.sin(theta)
beta = 0.5 * (1 - beta_p) / (1 + beta_p)
gamma = (0.5 + beta) * np.cos(theta)
a0 = (0.5 + beta + gamma) / 2.0
a1 = -0.5 - beta - gamma
a2 = a0
b1 = -2 * gamma
b2 = 2 * beta
output[n] = a0 * signal[n] + a1 * xz1 - b1 * yz1 + a2 * xz2 - b2 * yz2
xz2 = xz1
xz1 = signal[n]
yz2 = yz1
yz1 = output[n]
return xz1, yz1, xz2, yz2
@signal('hip')
class SecondOrderHiPass(Signal):
"""
>>> audio = Sin(1000).render(1)
>>> expected_sin_rms = pytest.approx(1 / np.sqrt(2))
>>> sin_rms = audio.rms()
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(2048).hip(1024).render(1)
>>> assert sin_rms == expected_sin_rms
>>> audio = Sin(1024).hip(2048).render(1)
>>> assert audio.rms() < sin_rms / 3
"""
signal: Signal
cutoff: Signal
Q: Signal = 0.707
def setup(self):
self.xz1 = 0
self.yz1 = 0
self.xz2 = 0
self.yz2 = 0
def __call__(self):
self.xz1, self.yz1, self.xz2, self.yz2 = second_order_hi_pass(
self.samplerate, self.xz1, self.yz1, self.xz2, self.yz2, self.signal.output,
self.cutoff.output, self.Q.output, self.output)
| 28.600939 | 88 | 0.557288 | 862 | 6,092 | 3.838747 | 0.093968 | 0.103354 | 0.113025 | 0.163191 | 0.918102 | 0.918102 | 0.91508 | 0.91508 | 0.876398 | 0.876398 | 0 | 0.087771 | 0.281845 | 6,092 | 212 | 89 | 28.735849 | 0.668571 | 0.205023 | 0 | 0.755556 | 0 | 0 | 0.002998 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0.088889 | 0.037037 | 0 | 0.259259 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 9 |
93b14319da4f52a35ee25d2622b95b2f80ad4e82 | 234 | py | Python | src/harness/cu_pass/dpa_calculator/aggregate_interference_calculator/configuration/configuration.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | src/harness/cu_pass/dpa_calculator/aggregate_interference_calculator/configuration/configuration.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | src/harness/cu_pass/dpa_calculator/aggregate_interference_calculator/configuration/configuration.py | NSF-Swift/Spectrum-Access-System | 02cf3490c9fd0cec38074d3bdb3bca63bb7d03bf | [
"Apache-2.0"
] | null | null | null | from cu_pass.dpa_calculator.aggregate_interference_calculator.configuration.support.eirps import DEFAULT_EIRPS, \
EIRP_DISTRIBUTION_MAP_TYPE
class Configuration:
eirp_distribution: EIRP_DISTRIBUTION_MAP_TYPE = DEFAULT_EIRPS
| 33.428571 | 113 | 0.863248 | 28 | 234 | 6.75 | 0.607143 | 0.253968 | 0.201058 | 0.243386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094017 | 234 | 6 | 114 | 39 | 0.891509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.25 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 |
93ba5fbc7daebaeada1201b42214e756d5b1f1a8 | 114 | py | Python | umiread/__init__.py | matt-sd-watson/umiread | f5ca44b202b108bb0426f683db75aa20e31f4069 | [
"MIT"
] | null | null | null | umiread/__init__.py | matt-sd-watson/umiread | f5ca44b202b108bb0426f683db75aa20e31f4069 | [
"MIT"
] | null | null | null | umiread/__init__.py | matt-sd-watson/umiread | f5ca44b202b108bb0426f683db75aa20e31f4069 | [
"MIT"
] | null | null | null | from umiread.umi_extract import extract_from_single, extract_from_folder
from umiread.umi_stats import UMIStats
| 38 | 73 | 0.877193 | 17 | 114 | 5.529412 | 0.529412 | 0.234043 | 0.297872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096491 | 114 | 2 | 74 | 57 | 0.912621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f51dd6bc54f1302bae82d01cf8cb0f6d7aead95c | 9,645 | py | Python | tests/test_allele.py | iqbal-lab-org/pangenome_variations | 0aa8f5233bb2130b1876a5197f3ffbe7c3830601 | [
"MIT"
] | null | null | null | tests/test_allele.py | iqbal-lab-org/pangenome_variations | 0aa8f5233bb2130b1876a5197f3ffbe7c3830601 | [
"MIT"
] | 9 | 2021-03-30T12:28:36.000Z | 2022-01-13T03:28:10.000Z | tests/test_allele.py | iqbal-lab-org/pangenome_variations | 0aa8f5233bb2130b1876a5197f3ffbe7c3830601 | [
"MIT"
] | 1 | 2020-11-04T15:13:30.000Z | 2020-11-04T15:13:30.000Z | from unittest import TestCase
import pandas as pd
from io import StringIO
from src.Allele import NotASNP, Allele
class TestAllele(TestCase):
def test_constructor_isSNP_constructorOK(self):
Allele("genome_1", "chrom_1", 10, "A")
self.assertTrue(True)
def test_constructor_isNotASNP_constructorRaisesNotASNP(self):
with self.assertRaises(NotASNP):
Allele("genome_1", "chrom_1", 10, "AC")
def test_constructor_isDeletion_constructorRaisesNotASNP(self):
with self.assertRaises(NotASNP):
Allele("genome_1", "chrom_1", 10, "")
def test_hash_equalAlleles_returnsEqualHashValues(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
self.assertEqual(hash(allele_1), hash(allele_2))
def test_hash_differentGenomes_returnsDifferentHashValues(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_2", "chrom_1", 10, "A")
assert hash(allele_1) != hash(allele_2)
def test_hash_differentChroms_returnsDifferentHashValues(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_2", 10, "A")
assert hash(allele_1) != hash(allele_2)
def test_hash_differentPos_returnsDifferentHashValues(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 11, "A")
assert hash(allele_1) != hash(allele_2)
def test_hash_differentSeqs_returnsDifferentHashValues(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "C")
assert hash(allele_1) != hash(allele_2)
def test___relational_operators___equalAlleles(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == True
assert (allele_1 != allele_2) == False
assert (allele_1 < allele_2) == False
assert (allele_1 <= allele_2) == True
assert (allele_1 > allele_2) == False
assert (allele_1 >= allele_2) == True
def test___relational_operators___differentGenomes___first_is_smaller(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_2", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == True
assert (allele_1 <= allele_2) == True
assert (allele_1 > allele_2) == False
assert (allele_1 >= allele_2) == False
def test___relational_operators___differentGenomes___first_is_larger(self):
allele_1 = Allele("genome_2", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == False
assert (allele_1 <= allele_2) == False
assert (allele_1 > allele_2) == True
assert (allele_1 >= allele_2) == True
def test___relational_operators___differentChroms___first_is_smaller(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_2", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == True
assert (allele_1 <= allele_2) == True
assert (allele_1 > allele_2) == False
assert (allele_1 >= allele_2) == False
def test___relational_operators___differentChroms___first_is_larger(self):
allele_1 = Allele("genome_1", "chrom_2", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == False
assert (allele_1 <= allele_2) == False
assert (allele_1 > allele_2) == True
assert (allele_1 >= allele_2) == True
def test___relational_operators___differentPos___first_is_smaller(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 11, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == True
assert (allele_1 <= allele_2) == True
assert (allele_1 > allele_2) == False
assert (allele_1 >= allele_2) == False
def test___relational_operators___differentPos___first_is_larger(self):
allele_1 = Allele("genome_1", "chrom_1", 11, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == False
assert (allele_1 <= allele_2) == False
assert (allele_1 > allele_2) == True
assert (allele_1 >= allele_2) == True
def test___relational_operators___differentSeqs___first_is_smaller(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "A")
allele_2 = Allele("genome_1", "chrom_1", 10, "C")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == True
assert (allele_1 <= allele_2) == True
assert (allele_1 > allele_2) == False
assert (allele_1 >= allele_2) == False
def test___relational_operators___differentSeqs___first_is_larger(self):
allele_1 = Allele("genome_1", "chrom_1", 10, "C")
allele_2 = Allele("genome_1", "chrom_1", 10, "A")
assert (allele_1 == allele_2) == False
assert (allele_1 != allele_2) == True
assert (allele_1 < allele_2) == False
assert (allele_1 <= allele_2) == False
assert (allele_1 > allele_2) == True
assert (allele_1 >= allele_2) == True
def test___get_alleles_from_VarifierDataframe___empty_df___no_alleles_returned(self):
snps_df = pd.read_csv(StringIO(
"""ref_pos,ref_allele,query_allele,query_pos,nearest_mismatch,nearest_end,ref_len,query_len,ref_context,query_context,ref_strand,query_strand,ref_chrom,query_chrom
"""
))
actual_alleles = list(Allele.get_alleles_from_VarifierDataframe("genome_1", "genome_2", snps_df))
expected_alleles = []
self.assertListEqual(actual_alleles, expected_alleles)
def test___get_alleles_from_VarifierDataframe___one_SNP_in_df___two_alleles_returned(self):
snps_df = pd.read_csv(StringIO(
"""ref_pos,ref_allele,query_allele,query_pos,nearest_mismatch,nearest_end,ref_len,query_len,ref_context,query_context,ref_strand,query_strand,ref_chrom,query_chrom
1,A,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
"""
))
actual_alleles = list(Allele.get_alleles_from_VarifierDataframe("genome_1", "genome_2", snps_df))
expected_alleles = [(Allele("genome_1", "chrom_1", 1, "A"), Allele("genome_2", "chrom_2", 2, "C"))]
self.assertListEqual(actual_alleles, expected_alleles)
def test___get_alleles_from_VarifierDataframe___one_SNP_variation_four_non_SNP_variation_in_df___two_alleles_returned(self):
snps_df = pd.read_csv(StringIO(
"""ref_pos,ref_allele,query_allele,query_pos,nearest_mismatch,nearest_end,ref_len,query_len,ref_context,query_context,ref_strand,query_strand,ref_chrom,query_chrom
1,,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,A,CC,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,A,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,AA,CC,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,AA,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
"""
), na_filter=False)
actual_alleles = list(Allele.get_alleles_from_VarifierDataframe("genome_1", "genome_2", snps_df))
expected_alleles = [(Allele("genome_1", "chrom_1", 1, "A"), Allele("genome_2", "chrom_2", 2, "C"))]
self.assertListEqual(actual_alleles, expected_alleles)
def test___get_alleles_from_VarifierDataframe___four_SNP_variation_four_non_SNP_variation_in_df___only_SNPs_alleles_returned(self):
snps_df = pd.read_csv(StringIO(
"""ref_pos,ref_allele,query_allele,query_pos,nearest_mismatch,nearest_end,ref_len,query_len,ref_context,query_context,ref_strand,query_strand,ref_chrom,query_chrom
10,G,T,20,0,0,0,0,ACGT,ACGT,1,1,chrom_10,chrom_20
1,,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,A,CC,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,A,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,AA,CC,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,AA,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
1,A,C,2,0,0,0,0,ACGT,ACGT,1,1,chrom_1,chrom_2
100,A,T,200,0,0,0,0,ACGT,ACGT,1,1,chrom_100,chrom_200
"""
), na_filter=False)
actual_alleles = list(Allele.get_alleles_from_VarifierDataframe("genome_1", "genome_2", snps_df))
expected_alleles = [(Allele("genome_1", "chrom_10", 10, "G"), Allele("genome_2", "chrom_20", 20, "T")),
(Allele("genome_1", "chrom_1", 1, "A"), Allele("genome_2", "chrom_2", 2, "C")),
(Allele("genome_1", "chrom_1", 1, "A"), Allele("genome_2", "chrom_2", 2, "C")),
(Allele("genome_1", "chrom_100", 100, "A"), Allele("genome_2", "chrom_200", 200, "T"))]
self.assertListEqual(actual_alleles, expected_alleles) | 51.57754 | 175 | 0.649559 | 1,391 | 9,645 | 4.094177 | 0.068296 | 0.089728 | 0.155224 | 0.180158 | 0.917998 | 0.914662 | 0.900966 | 0.880421 | 0.85777 | 0.83986 | 0 | 0.063177 | 0.215552 | 9,645 | 187 | 176 | 51.57754 | 0.689532 | 0 | 0 | 0.71831 | 0 | 0 | 0.09358 | 0 | 0 | 0 | 0 | 0 | 0.464789 | 1 | 0.147887 | false | 0 | 0.028169 | 0 | 0.183099 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
f55c0b0aa0813b29d7dd2f0406840f5b63785993 | 6,687 | py | Python | emqxlwm2m/utils.py | Penlect/emqxlwm2m | 9fcd13c1b794eb64b1e8244841a20827432665bf | [
"MIT"
] | 2 | 2020-10-22T17:37:42.000Z | 2021-08-04T08:34:36.000Z | emqxlwm2m/utils.py | Penlect/emqxlwm2m | 9fcd13c1b794eb64b1e8244841a20827432665bf | [
"MIT"
] | null | null | null | emqxlwm2m/utils.py | Penlect/emqxlwm2m | 9fcd13c1b794eb64b1e8244841a20827432665bf | [
"MIT"
] | null | null | null | """High level functions and utilities"""
# pylint: disable=maybe-no-member
# Built-in
import asyncio
import time
import queue
import datetime as dt
# Package
import emqxlwm2m
from emqxlwm2m.lwm2m import Endpoint, AsyncEndpoint
from emqxlwm2m.oma import LwM2MServer, Device, FirmwareUpdate
def trigger_update(ep: Endpoint, timeout=None, *, iid=0):
q = ep.updates()
resp = ep[LwM2MServer][iid].registration_update_trigger.execute(
timeout=timeout
)
resp.check()
return q.get(timeout=timeout)
def reboot(ep: Endpoint, block=True, timeout=None, *, iid=0):
ep.log.info("Rebooting")
t0 = dt.datetime.now()
if block:
q = ep.registrations()
resp = ep[Device][iid].reboot.execute(timeout=timeout)
resp.check()
ep.log.info("Execute response: %r", resp.code)
if block:
ep.log.info("Waiting for registration")
packet = q.get()
t1 = packet.timestamp
ep.log.info("Registration received. Reboot duration: %s", t1 - t0)
class FirmwareUpdateError(Exception):
pass
class DownloadError(FirmwareUpdateError):
pass
class UpdateError(FirmwareUpdateError):
pass
def firmware_update(
ep: Endpoint,
package_uri: str,
wait: bool = True,
reg_timeout: float = None,
*,
iid=0,
exec_ok=None,
) -> int:
ep.log.info("Firmware update started.")
# Enums used for checking state.
state = FirmwareUpdate.state.Enum
result = FirmwareUpdate.update_result.Enum
# Firmware Update Object
obj = ep[FirmwareUpdate][iid]
# Download firmware.
ep.log.info("Writing package uri: %r", package_uri)
resp = obj.package_uri.write(package_uri)
resp.check()
t0 = dt.datetime.now()
while True:
time.sleep(15)
resp = obj.state.read(timeout=15, retry=4)
if resp.value == state.DOWNLOADING:
ep.log.info("Downloading ...")
elif resp.value == state.DOWNLOADED:
t1 = dt.datetime.now()
ep.log.info("Firmware downloaded after %s", t1 - t0)
break
elif resp.value == state.UPDATING:
raise FirmwareUpdateError(f"Unexpected state: {resp.value}")
elif resp.value == state.IDLE:
resp = obj.update_result.read()
raise DownloadError(resp.value)
else:
raise FirmwareUpdateError(f"Unexpected state: {resp.value}")
# Update firmware
ep.log.debug("Sleeping for 3 seconds")
time.sleep(3)
if callable(exec_ok) and not exec_ok(ep):
ep.log.debug("Aborting because NOK exec_ok")
return None
if wait:
reg_q = ep.registrations()
t0 = dt.datetime.now()
# When in Downloaded state, and the executable Resource Update is
# triggered, the state changes to Updating. If the Update
# Resource failed, the state returns at Downloaded. If performing
# the Update Resource was successful, the state changes from
# Updating to Idle.
ep.log.info("Firmware update execute")
try:
resp = obj.update.execute()
resp.check()
except emqxlwm2m.NoResponseError:
ep.log.warning("No response after execute")
if not wait:
return None
ep.log.info("Waiting for registration")
try:
reg_q.get(timeout=reg_timeout)
except queue.Empty:
raise FirmwareUpdateError(
"Timeout when waiting for registration"
) from None
t1 = dt.datetime.now()
ep.log.info("Registration received after %s", t1 - t0)
ep.log.debug("Sleeping for 3 seconds")
time.sleep(3)
# Check status of firmware
ep.log.debug("Reading update result")
resp = obj.update_result.read(timeout=10, retry=1)
if resp.value == result.UPDATE_SUCCESSFUL:
ep.log.info("Firmware update result: %r", resp.value)
return True
raise UpdateError(resp.value)
async def async_firmware_update(
ep: AsyncEndpoint,
package_uri: str,
wait: bool = True,
reg_timeout: float = None,
*,
iid=0,
exec_ok=None,
) -> int:
ep.log.info("Firmware update started.")
# Enums used for checking state.
state = FirmwareUpdate.state.Enum
result = FirmwareUpdate.update_result.Enum
# Firmware Update Object
obj = ep[FirmwareUpdate][iid]
# Download firmware.
ep.log.info("Writing package uri: %r", package_uri)
resp = await obj.package_uri.write(package_uri)
resp.check()
t0 = dt.datetime.now()
while True:
await asyncio.sleep(15)
resp = await obj.state.read(timeout=15, retry=4)
if resp.value == state.DOWNLOADING:
ep.log.info("Downloading ...")
elif resp.value == state.DOWNLOADED:
t1 = dt.datetime.now()
ep.log.info("Firmware downloaded after %s", t1 - t0)
break
elif resp.value == state.UPDATING:
raise FirmwareUpdateError(f"Unexpected state: {resp.value}")
elif resp.value == state.IDLE:
resp = await obj.update_result.read()
raise DownloadError(resp.value)
else:
raise FirmwareUpdateError(f"Unexpected state: {resp.value}")
# Update firmware
ep.log.debug("Sleeping for 3 seconds")
await asyncio.sleep(3)
if callable(exec_ok) and not await exec_ok(ep):
ep.log.debug("Aborting because NOK exec_ok")
return None
if wait:
reg_q = await ep.registrations()
t0 = dt.datetime.now()
# When in Downloaded state, and the executable Resource Update is
# triggered, the state changes to Updating. If the Update
# Resource failed, the state returns at Downloaded. If performing
# the Update Resource was successful, the state changes from
# Updating to Idle.
ep.log.info("Firmware update execute")
try:
resp = await obj.update.execute()
resp.check()
except emqxlwm2m.NoResponseError:
ep.log.warning("No response after execute")
if not wait:
return None
ep.log.info("Waiting for registration")
try:
await reg_q.get(timeout=reg_timeout)
except asyncio.QueueEmpty:
raise FirmwareUpdateError(
"Timeout when waiting for registration"
) from None
t1 = dt.datetime.now()
ep.log.info("Registration received after %s", t1 - t0)
ep.log.debug("Sleeping for 3 seconds")
await asyncio.sleep(3)
# Check status of firmware
ep.log.debug("Reading update result")
resp = await obj.update_result.read(timeout=10, retry=1)
if resp.value == result.UPDATE_SUCCESSFUL:
ep.log.info("Firmware update result: %r", resp.value)
return True
raise UpdateError(resp.value)
| 29.45815 | 74 | 0.644534 | 845 | 6,687 | 5.055621 | 0.175148 | 0.035112 | 0.042135 | 0.031835 | 0.802903 | 0.782069 | 0.772472 | 0.758427 | 0.748127 | 0.748127 | 0 | 0.011164 | 0.249888 | 6,687 | 226 | 75 | 29.588496 | 0.84051 | 0.125318 | 0 | 0.709091 | 0 | 0 | 0.156502 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018182 | false | 0.018182 | 0.042424 | 0 | 0.121212 | 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 |
5ff373db4131a5b35e86ce3d9a442d515c8172a9 | 168 | py | Python | Lib/Scripts/font/glyphs/batch rename.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 11 | 2015-01-06T15:43:56.000Z | 2019-07-27T00:35:20.000Z | Lib/Scripts/font/glyphs/batch rename.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 2 | 2017-05-17T10:11:46.000Z | 2018-11-21T21:43:43.000Z | Lib/Scripts/font/glyphs/batch rename.py | gferreira/hTools2 | a75a671b81a0f4ce5c82b2ad3e2f971ca3e3d98c | [
"BSD-3-Clause"
] | 4 | 2015-01-10T13:58:50.000Z | 2019-12-18T15:40:14.000Z | # [h] batch rename glyphs
import hTools2.dialogs.font.glyphs_rename
reload(hTools2.dialogs.font.glyphs_rename)
hTools2.dialogs.font.glyphs_rename.batchRenameGlyphs()
| 24 | 54 | 0.833333 | 22 | 168 | 6.227273 | 0.454545 | 0.306569 | 0.394161 | 0.525547 | 0.656934 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019108 | 0.065476 | 168 | 6 | 55 | 28 | 0.853503 | 0.136905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
5ffa9dac0dda7e619637e68ba61e90f5c165aca3 | 165 | py | Python | summer/templatetags/summer.py | NicolasLM/summertime.today | 7a302fd7f6e070e0d891812798a443fce6002873 | [
"MIT"
] | null | null | null | summer/templatetags/summer.py | NicolasLM/summertime.today | 7a302fd7f6e070e0d891812798a443fce6002873 | [
"MIT"
] | null | null | null | summer/templatetags/summer.py | NicolasLM/summertime.today | 7a302fd7f6e070e0d891812798a443fce6002873 | [
"MIT"
] | null | null | null | from django import template
register = template.Library()
@register.simple_tag
def user_has_usable_password(user) -> bool:
return user.has_usable_password()
| 16.5 | 43 | 0.781818 | 22 | 165 | 5.590909 | 0.681818 | 0.113821 | 0.211382 | 0.341463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 165 | 9 | 44 | 18.333333 | 0.86014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.4 | 0.2 | 0.2 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 7 |
2715bdbdbdb7ecda2eaacb294efa9723a7289097 | 1,209 | py | Python | src/astro/ml/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | src/astro/ml/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | src/astro/ml/__init__.py | jlaneve/astro | 4528162c7582f3860d1d21de7af954f20c9f9a6a | [
"Apache-2.0"
] | null | null | null | from typing import Callable, Optional
from astro.dataframe import dataframe
def train(
python_callable: Optional[Callable] = None,
multiple_outputs: Optional[bool] = None,
conn_id: str = "",
database: Optional[str] = None,
schema: Optional[str] = None,
warehouse: Optional[str] = None,
):
"""
For now this will have the same functionality as dataframe, but eventually we will add features
that will optimize this experience for training models
"""
return dataframe(
python_callable,
multiple_outputs,
conn_id,
database,
schema,
warehouse,
)
def predict(
python_callable: Optional[Callable] = None,
multiple_outputs: Optional[bool] = None,
conn_id: str = "",
database: Optional[str] = None,
schema: Optional[str] = None,
warehouse: Optional[str] = None,
):
"""
For now this will have the same functionality as dataframe, but eventually we will add features
that will optimize this experience for deploying inference
"""
return dataframe(
python_callable,
multiple_outputs,
conn_id,
database,
schema,
warehouse,
)
| 25.1875 | 99 | 0.645988 | 134 | 1,209 | 5.738806 | 0.320896 | 0.085826 | 0.117035 | 0.078023 | 0.850455 | 0.850455 | 0.850455 | 0.850455 | 0.850455 | 0.850455 | 0 | 0 | 0.272953 | 1,209 | 47 | 100 | 25.723404 | 0.874858 | 0.252275 | 0 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 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 |
2737039c8c47cd9e149029ff8b0769e1a189384d | 3,371 | py | Python | influencer/mixins.py | utkarsh23/endorsity-club | 7b3684856f9e14284d9998931b7124505376ca5a | [
"MIT"
] | null | null | null | influencer/mixins.py | utkarsh23/endorsity-club | 7b3684856f9e14284d9998931b7124505376ca5a | [
"MIT"
] | null | null | null | influencer/mixins.py | utkarsh23/endorsity-club | 7b3684856f9e14284d9998931b7124505376ca5a | [
"MIT"
] | null | null | null | from django.contrib.auth.mixins import AccessMixin
from django.core.exceptions import PermissionDenied
from django.shortcuts import redirect
from django.urls import reverse
from accounts.models import FacebookPermissions, Influencer
# class RegisteredInfluencerLoginRequiredMixin(AccessMixin):
# def dispatch(self, request, *args, **kwargs):
# if not request.user.is_authenticated or request.user.is_brand:
# return redirect(reverse('accounts:landing'))
# if not request.user.is_registered:
# return redirect(reverse('accounts:check_registration'))
# return super().dispatch(request, *args, **kwargs)
class NotFbConnectedInfluencerLoginRequiredMixin(AccessMixin):
def dispatch(self, request, *args, **kwargs):
if not request.user.is_authenticated:
return redirect(reverse('accounts:landing'))
if request.user.is_brand:
raise PermissionDenied
if not request.user.is_registered:
return redirect(reverse('accounts:check_registration'))
if not request.user.is_account_activated:
return redirect(reverse('accounts:activation_pending'))
influencer = Influencer.objects.get(user=request.user)
fb_permissions = FacebookPermissions.objects.get(influencer=influencer)
if fb_permissions.has_all_permissions:
return redirect(reverse('influencer:await_verification'))
return super().dispatch(request, *args, **kwargs)
class NotVerifiedAndFbConnectedInfluencerLoginRequiredMixin(AccessMixin):
def dispatch(self, request, *args, **kwargs):
if not request.user.is_authenticated:
return redirect(reverse('accounts:landing'))
if request.user.is_brand:
raise PermissionDenied
if not request.user.is_registered:
return redirect(reverse('accounts:check_registration'))
if not request.user.is_account_activated:
return redirect(reverse('accounts:activation_pending'))
influencer = Influencer.objects.get(user=request.user)
fb_permissions = FacebookPermissions.objects.get(influencer=influencer)
if not fb_permissions.has_all_permissions:
return redirect(reverse('influencer:fb_connect'))
if influencer.is_verified:
return redirect(reverse('influencer:brands'))
return super().dispatch(request, *args, **kwargs)
class VerifiedAndFbConnectedInfluencerLoginRequiredMixin(AccessMixin):
def dispatch(self, request, *args, **kwargs):
if not request.user.is_authenticated:
return redirect(reverse('accounts:landing'))
if request.user.is_brand:
raise PermissionDenied
if not request.user.is_registered:
return redirect(reverse('accounts:check_registration'))
if not request.user.is_account_activated:
return redirect(reverse('accounts:activation_pending'))
influencer = Influencer.objects.get(user=request.user)
fb_permissions = FacebookPermissions.objects.get(influencer=influencer)
if not fb_permissions.has_all_permissions:
return redirect(reverse('influencer:fb_connect'))
if not influencer.is_verified:
return redirect(reverse('influencer:await_verification'))
return super().dispatch(request, *args, **kwargs)
| 47.478873 | 79 | 0.710472 | 346 | 3,371 | 6.797688 | 0.16763 | 0.084184 | 0.142857 | 0.07483 | 0.821429 | 0.821429 | 0.806122 | 0.738946 | 0.738946 | 0.72619 | 0 | 0 | 0.197864 | 3,371 | 70 | 80 | 48.157143 | 0.869822 | 0.120142 | 0 | 0.777778 | 0 | 0 | 0.110548 | 0.088573 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.092593 | 0 | 0.518519 | 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 | 1 | 0 | 0 | 8 |
274a0c0d8d32bcfce24adb4a9391ca525570675a | 6,470 | py | Python | infrapki/sign.py | oko/infrapki | 2dd5499e1ea74a923167a9420f32594ada8cd853 | [
"MIT"
] | null | null | null | infrapki/sign.py | oko/infrapki | 2dd5499e1ea74a923167a9420f32594ada8cd853 | [
"MIT"
] | 1 | 2021-08-07T18:38:32.000Z | 2021-08-07T18:38:32.000Z | infrapki/sign.py | oko/infrapki | 2dd5499e1ea74a923167a9420f32594ada8cd853 | [
"MIT"
] | null | null | null | import abc
from cryptography import exceptions, x509
from cryptography.x509 import extensions as x509ext
from cryptography.x509 import oid
class SignaturePolicyResult(object):
def __init__(self, errors):
self.errors = errors
def ok(self):
return len(self.errors) == 0
class SignaturePolicy(abc.ABC):
@abc.abstractmethod
def validate_csr(
self, csr: x509.CertificateSigningRequest
) -> SignaturePolicyResult:
pass
@abc.abstractmethod
def build_cert(
self, cacert: x509.Certificate, csr: x509.CertificateSigningRequest
) -> x509.CertificateBuilder:
pass
class ServerCertSignaturePolicy(SignaturePolicy):
def __init__(self):
pass
def validate_csr(
self, csr: x509.CertificateSigningRequest
) -> SignaturePolicyResult:
errors = []
try:
basic = csr.extensions.get_extension_for_class(x509.BasicConstraints)
if basic.value.ca:
errors.append(
ValueError(
"BasicConstraints.CA must not be true for server certificates"
)
)
except x509ext.ExtensionNotFound:
pass
return SignaturePolicyResult(errors)
def build_cert(
self, cacert: x509.Certificate, csr: x509.CertificateSigningRequest
) -> x509.CertificateBuilder:
return (
x509.CertificateBuilder()
.subject_name(csr.subject)
.issuer_name(cacert.subject)
.public_key(csr.public_key())
.add_extension(
x509.BasicConstraints(ca=False, path_length=None,), critical=True,
)
.add_extension(
x509.KeyUsage(
digital_signature=True,
content_commitment=False,
key_encipherment=False,
data_encipherment=False,
key_agreement=False,
key_cert_sign=False,
crl_sign=False,
encipher_only=False,
decipher_only=False,
),
critical=True,
)
.add_extension(
x509.ExtendedKeyUsage([oid.ExtendedKeyUsageOID.SERVER_AUTH]),
critical=True,
)
.add_extension(
x509.SubjectKeyIdentifier.from_public_key(csr.public_key()),
critical=False,
)
.add_extension(
x509.AuthorityKeyIdentifier.from_issuer_public_key(cacert.public_key()),
critical=False,
)
)
class IntermediateCASignaturePolicy(SignaturePolicy):
def __init__(self, ca_path_length=0):
self.ca_path_length = ca_path_length
def validate_csr(
self, csr: x509.CertificateSigningRequest
) -> SignaturePolicyResult:
errors = []
return SignaturePolicyResult(errors)
def build_cert(
self, cacert: x509.Certificate, csr: x509.CertificateSigningRequest
) -> x509.CertificateBuilder:
return (
x509.CertificateBuilder()
.subject_name(csr.subject)
.issuer_name(cacert.subject)
.public_key(csr.public_key())
.add_extension(
x509.BasicConstraints(
ca=True,
path_length=(
self.ca_path_length - 1 if self.ca_path_length > 0 else 0
),
),
critical=True,
)
.add_extension(
x509.KeyUsage(
digital_signature=True,
content_commitment=False,
key_encipherment=False,
data_encipherment=False,
key_agreement=False,
key_cert_sign=True,
crl_sign=True,
encipher_only=False,
decipher_only=False,
),
critical=True,
)
.add_extension(
x509.SubjectKeyIdentifier.from_public_key(csr.public_key()),
critical=False,
)
.add_extension(
x509.AuthorityKeyIdentifier.from_issuer_public_key(cacert.public_key()),
critical=False,
)
)
class ClientCertSignaturePolicy(SignaturePolicy):
def __init__(self):
pass
def validate_csr(
self, csr: x509.CertificateSigningRequest
) -> SignaturePolicyResult:
errors = []
try:
basic = csr.extensions.get_extension_for_class(x509.BasicConstraints)
if basic.value.ca:
errors.append(
ValueError(
"BasicConstraints.CA must not be true for client certificates"
)
)
except x509ext.ExtensionNotFound:
pass
return SignaturePolicyResult(errors)
def build_cert(
self, cacert: x509.Certificate, csr: x509.CertificateSigningRequest
) -> x509.CertificateBuilder:
return (
x509.CertificateBuilder()
.subject_name(csr.subject)
.issuer_name(cacert.subject)
.public_key(csr.public_key())
.add_extension(
x509.BasicConstraints(ca=False, path_length=None,), critical=True,
)
.add_extension(
x509.KeyUsage(
digital_signature=True,
content_commitment=False,
key_encipherment=False,
data_encipherment=False,
key_agreement=False,
key_cert_sign=False,
crl_sign=False,
encipher_only=False,
decipher_only=False,
),
critical=True,
)
.add_extension(
x509.ExtendedKeyUsage([oid.ExtendedKeyUsageOID.CLIENT_AUTH]),
critical=True,
)
.add_extension(
x509.SubjectKeyIdentifier.from_public_key(csr.public_key()),
critical=False,
)
.add_extension(
x509.AuthorityKeyIdentifier.from_issuer_public_key(cacert.public_key()),
critical=False,
)
)
| 32.512563 | 88 | 0.538794 | 520 | 6,470 | 6.469231 | 0.165385 | 0.048157 | 0.066587 | 0.057075 | 0.853746 | 0.843639 | 0.843639 | 0.843639 | 0.822533 | 0.799643 | 0 | 0.03234 | 0.388253 | 6,470 | 198 | 89 | 32.676768 | 0.817585 | 0 | 0 | 0.744444 | 0 | 0 | 0.018547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072222 | false | 0.033333 | 0.022222 | 0.022222 | 0.161111 | 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 |
2773856d7236750c8c30547fc5c51f88db1e917a | 3,911 | py | Python | tests/unit/test_scc_hypervisor_collector_cli.py | SUSE/scc-hypervisor-collector | e3b9d2e7ddc3210b1f4fbe7a06eac8c22adb4c9a | [
"Apache-2.0"
] | null | null | null | tests/unit/test_scc_hypervisor_collector_cli.py | SUSE/scc-hypervisor-collector | e3b9d2e7ddc3210b1f4fbe7a06eac8c22adb4c9a | [
"Apache-2.0"
] | null | null | null | tests/unit/test_scc_hypervisor_collector_cli.py | SUSE/scc-hypervisor-collector | e3b9d2e7ddc3210b1f4fbe7a06eac8c22adb4c9a | [
"Apache-2.0"
] | null | null | null | import mock
import pytest
from tests import utils
class TestSCCHypervisorCollectorCLI:
"""Class for scc-hypervisor-collector cli tests"""
def test_no_arguments(self, capsys, monkeypatch, scc_hypervisor_collector_cli):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
def test_bad_option(self, capsys, monkeypatch, scc_hypervisor_collector_cli):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--bad"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
out, err = capsys.readouterr()
assert "scc-hypervisor-collector: error: unrecognized arguments: --bad\n" in err
def test_version_option(self, capsys, monkeypatch, scc_hypervisor_collector_cli):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--version"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
out, err = capsys.readouterr()
assert scc_hypervisor_collector_cli.cli_version in out
def test_help_option(self, capsys, monkeypatch, scc_hypervisor_collector_cli):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--help"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
out, err = capsys.readouterr()
assert "usage: scc-hypervisor-collector " in out
def test_check_option_success(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--check", "--config", "tests/unit/data/config/default/default.yaml"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
for record in caplog.records:
assert record.levelname != 'DEBUG' #default log level is INFO
def test_check_option_failure(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--check", "--config-dir", "tests/unit/data/config/invalid"])
with pytest.raises(SystemExit):
scc_hypervisor_collector_cli.main()
for record in caplog.records:
assert record.levelname != 'DEBUG' #default log level is INFO
def test_quiet_option(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--quiet", "--config", "tests/unit/data/config/default/default.yaml"])
scc_hypervisor_collector_cli.main()
for record in caplog.records:
assert record.levelname != 'DEBUG'
assert caplog.records[-1].levelname == 'ERROR' and 'query failed after 3 attempts' in caplog.text
def test_verbose_option(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--verbose", "--config", "tests/unit/data/config/default/default.yaml"])
scc_hypervisor_collector_cli.main()
assert caplog.records[0].levelname == 'DEBUG'
assert caplog.records[-1].levelname == 'ERROR' and 'query failed after 3 attempts' in caplog.text
def test_verbose_sensitive_field(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector", "--verbose", "--config", "tests/unit/data/config/mock/config.yaml"])
scc_hypervisor_collector_cli.main()
assert "3tjdla3gEP4WqkPd" not in caplog.text
def test_sensitive_field(self, capsys, monkeypatch, scc_hypervisor_collector_cli, caplog):
monkeypatch.setattr("sys.argv", ["scc-hypervisor-collector","--config", "tests/unit/data/config/mock/config.yaml"])
scc_hypervisor_collector_cli.main()
assert "3tjdla3gEP4WqkPd" not in caplog.text
| 55.084507 | 141 | 0.707492 | 459 | 3,911 | 5.83878 | 0.16122 | 0.164925 | 0.279104 | 0.205224 | 0.864925 | 0.862313 | 0.862313 | 0.860075 | 0.846269 | 0.825746 | 0 | 0.003394 | 0.171312 | 3,911 | 70 | 142 | 55.871429 | 0.823511 | 0.02429 | 0 | 0.508772 | 0 | 0 | 0.232082 | 0.138094 | 0 | 0 | 0 | 0 | 0.192982 | 1 | 0.175439 | false | 0 | 0.052632 | 0 | 0.245614 | 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 |
278401dbf51041c68dfd5cd927cbb8694cc0f9fd | 222 | py | Python | src/retrieve/methods/set_similarity/__init__.py | emanjavacas/retrieve | 451df1cb99d637aca54616c6c342bc0408057c48 | [
"MIT"
] | null | null | null | src/retrieve/methods/set_similarity/__init__.py | emanjavacas/retrieve | 451df1cb99d637aca54616c6c342bc0408057c48 | [
"MIT"
] | 2 | 2020-06-04T20:42:16.000Z | 2020-09-14T07:49:20.000Z | src/retrieve/methods/set_similarity/__init__.py | emanjavacas/retrieve | 451df1cb99d637aca54616c6c342bc0408057c48 | [
"MIT"
] | 1 | 2020-07-21T12:45:52.000Z | 2020-07-21T12:45:52.000Z |
from .search_index import SearchIndex
from .set_similarity import containment, jaccard, containment_min, cosine
from .set_similarity import weighted_containment, weighted_jaccard
from .set_similarity import SetSimilarity
| 37 | 73 | 0.869369 | 27 | 222 | 6.888889 | 0.481481 | 0.112903 | 0.274194 | 0.370968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094595 | 222 | 5 | 74 | 44.4 | 0.925373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
27991d194e7da5acf5e881d3436d6e7fab2bdf39 | 147 | py | Python | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/sol/calculators/calc_sq.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 82 | 2016-06-29T17:24:43.000Z | 2021-04-16T06:49:17.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/sol/calculators/calc_sq.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/sol/calculators/calc_sq.py | lmnotran/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 56 | 2016-08-02T10:50:50.000Z | 2021-07-19T08:57:34.000Z | from pyradioconfig.parts.ocelot.calculators.calc_sq import Calc_SQ_Ocelot
class Calc_SQ_Sol(Calc_SQ_Ocelot):
#Inherit all from Ocelot
pass | 29.4 | 73 | 0.816327 | 23 | 147 | 4.913043 | 0.565217 | 0.212389 | 0.212389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129252 | 147 | 5 | 74 | 29.4 | 0.882813 | 0.156463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
27f1d8f1c0b6a228790de19454ed8984c45f2105 | 1,591 | py | Python | advanced_databases/lab3/report.py | piotrgiedziun/university | 93097f071d592ad3d70b4c8cf1311498b5e1df3c | [
"MIT"
] | null | null | null | advanced_databases/lab3/report.py | piotrgiedziun/university | 93097f071d592ad3d70b4c8cf1311498b5e1df3c | [
"MIT"
] | null | null | null | advanced_databases/lab3/report.py | piotrgiedziun/university | 93097f071d592ad3d70b4c8cf1311498b5e1df3c | [
"MIT"
] | null | null | null | #!/usr/bin/python
from timeit import Timer
t = Timer('cur.execute("SELECT SQL_NO_CACHE * FROM `ticket` WHERE theater_id = 3;");cur.fetchall()', 'import MySQLdb;db = MySQLdb.connect(host="localhost", user="root", passwd="", db="sakila");cur = db.cursor()')
print "theater_id %0.3f sec " % t.timeit(100)
t = Timer('cur.execute("SELECT COUNT(*) FROM `ticket` ti INNER JOIN `show` sh ON ti.show_show_id = sh.show_id WHERE start_date > now() AND start_date < DATE_ADD(now(), INTERVAL 1 YEAR);");cur.fetchall()', 'import MySQLdb;db = MySQLdb.connect(host="localhost", user="root", passwd="", db="sakila");cur = db.cursor()')
print "date %0.3f sec " % t.timeit(1)
# DROP INDEX `theater_id` ON ticket;
# CREATE INDEX start_date_index ON `show` (start_date) USING BTREE;
# DROP INDEX `idx_title` ON `film`;
# DROP INDEX `idx_title` ON `film`;
t = Timer('cur.execute("SELECT SQL_NO_CACHE fi.title FROM `ticket` ti INNER JOIN `show` sh ON sh.show_id = ti.show_show_id LEFT JOIN `film` fi ON fi.film_id = sh.film_film_id WHERE fi.title LIKE \'%the%\'");cur.fetchall()', 'import MySQLdb;db = MySQLdb.connect(host="localhost", user="root", passwd="", db="sakila");cur = db.cursor()')
print "the+ %0.3f sec " % t.timeit(10)
t = Timer('cur.execute("SELECT SQL_NO_CACHE fi.title FROM `ticket` ti INNER JOIN `show` sh ON sh.show_id = ti.show_show_id LEFT JOIN `film` fi ON fi.film_id = sh.film_film_id WHERE fi.title LIKE \'the%\'");cur.fetchall()', 'import MySQLdb;db = MySQLdb.connect(host="localhost", user="root", passwd="", db="sakila");cur = db.cursor()')
print "+the+ %0.3f sec " % t.timeit(10)
| 72.318182 | 335 | 0.692018 | 269 | 1,591 | 3.973978 | 0.234201 | 0.033676 | 0.033676 | 0.059869 | 0.786717 | 0.741815 | 0.698784 | 0.698784 | 0.641721 | 0.641721 | 0 | 0.012903 | 0.123193 | 1,591 | 21 | 336 | 75.761905 | 0.753405 | 0.116279 | 0 | 0 | 0 | 0.777778 | 0.842969 | 0.110635 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.444444 | 0.555556 | null | null | 0.444444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 8 |
fdd47022acc911b10c9cf9e8a3fa3e8341f0c0ff | 119 | py | Python | montepython/likelihoods/cosmic_clocks_BC03_all/__init__.py | archaeo-pteryx/montepython_public | 6fbcaa3266fd3a10a8e3ed4190dc65e6f29f1a37 | [
"MIT"
] | 69 | 2018-04-20T07:38:33.000Z | 2022-03-11T06:55:36.000Z | montepython/likelihoods/cosmic_clocks_BC03_all/__init__.py | archaeo-pteryx/montepython_public | 6fbcaa3266fd3a10a8e3ed4190dc65e6f29f1a37 | [
"MIT"
] | 263 | 2018-05-20T21:58:11.000Z | 2022-03-30T21:45:48.000Z | montepython/likelihoods/cosmic_clocks_BC03_all/__init__.py | archaeo-pteryx/montepython_public | 6fbcaa3266fd3a10a8e3ed4190dc65e6f29f1a37 | [
"MIT"
] | 78 | 2018-04-21T13:11:54.000Z | 2022-02-01T01:57:31.000Z | from montepython.likelihood_class import Likelihood_clocks
class cosmic_clocks_BC03_all(Likelihood_clocks):
pass
| 19.833333 | 58 | 0.857143 | 15 | 119 | 6.4 | 0.666667 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018868 | 0.109244 | 119 | 5 | 59 | 23.8 | 0.886792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
8bf74e4b24ea2481cbd436b5f3f4267ec288e0fe | 158 | py | Python | alisu/custom_core/bot_raw_custom_methods_core/langs/get_bot_locale_categories_simple.py | sh-himanshu/alisurobot | 4d315acaf28156feb79864b56b64636c4217b4d4 | [
"MIT"
] | 9 | 2021-08-17T18:30:13.000Z | 2021-10-02T09:22:34.000Z | alisu/custom_core/bot_raw_custom_methods_core/langs/get_bot_locale_categories_simple.py | sh-himanshu/alisurobot | 4d315acaf28156feb79864b56b64636c4217b4d4 | [
"MIT"
] | 1 | 2021-12-20T19:48:44.000Z | 2021-12-20T19:48:44.000Z | alisu/custom_core/bot_raw_custom_methods_core/langs/get_bot_locale_categories_simple.py | aksr-aashish/alisurobot | 0b0c05ea74ba6126ca9b328de16c808c72be365d | [
"MIT"
] | 8 | 2021-08-17T21:14:13.000Z | 2022-01-29T23:34:14.000Z | from alisu.utils.localization import bot_locales_categories_names_list
def get_bot_locale_categories_simple():
return bot_locales_categories_names_list
| 26.333333 | 70 | 0.879747 | 22 | 158 | 5.772727 | 0.681818 | 0.15748 | 0.314961 | 0.393701 | 0.456693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088608 | 158 | 5 | 71 | 31.6 | 0.881944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 9 |
e360f50ba506839d61ef23096a2048ded9997459 | 7,234 | py | Python | test/TestTictactoe.py | dawidcdv/tictactoe | d42016ce7765bba8d1852e82de4e08648ce4d62a | [
"MIT"
] | null | null | null | test/TestTictactoe.py | dawidcdv/tictactoe | d42016ce7765bba8d1852e82de4e08648ce4d62a | [
"MIT"
] | null | null | null | test/TestTictactoe.py | dawidcdv/tictactoe | d42016ce7765bba8d1852e82de4e08648ce4d62a | [
"MIT"
] | null | null | null | import unittest
from unittest import mock
from unittest.mock import Mock
from src.tictactoe.game.Board import Board
from src.tictactoe.game.Tictactoe import Tictactoe
class TictactoeTest((unittest.TestCase)):
def test_not_finished_game(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.CROSS,
Board.Mark.EMPTY, Board.Mark.CROSS, Board.Mark.NOUGHT,
Board.Mark.EMPTY, Board.Mark.CROSS, Board.Mark.EMPTY]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), False)
self.assertEqual(game.getWinner(), None)
self.assertEqual(game.isFinished(), False)
def test_draw(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.CROSS,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.NOUGHT,
Board.Mark.NOUGHT, Board.Mark.CROSS, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), False)
self.assertEqual(game.getWinner(), None)
self.assertEqual(game.isFinished(), True)
def test_win_in_first_rows(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.CROSS,
Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.EMPTY,
Board.Mark.EMPTY, Board.Mark.EMPTY, Board.Mark.EMPTY]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.CROSS)
self.assertEqual(game.isFinished(), True)
def test_win_in_second_rows(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.EMPTY,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.CROSS,
Board.Mark.EMPTY, Board.Mark.EMPTY, Board.Mark.EMPTY]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.CROSS)
self.assertEqual(game.isFinished(), True)
def test_win_in_third_rows(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.EMPTY,
Board.Mark.EMPTY, Board.Mark.EMPTY, Board.Mark.EMPTY,
Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.NOUGHT)
self.assertEqual(game.isFinished(), True)
def test_win_in_first_column(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.EMPTY,
Board.Mark.CROSS, Board.Mark.NOUGHT, Board.Mark.EMPTY,
Board.Mark.CROSS, Board.Mark.NOUGHT, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.CROSS)
self.assertEqual(game.isFinished(), True)
def test_win_in_second_column(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.CROSS, Board.Mark.EMPTY,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.EMPTY,
Board.Mark.NOUGHT, Board.Mark.CROSS, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.CROSS)
self.assertEqual(game.isFinished(), True)
def test_win_in_third_column(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.CROSS, Board.Mark.NOUGHT,
Board.Mark.CROSS, Board.Mark.EMPTY, Board.Mark.NOUGHT,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.NOUGHT)
self.assertEqual(game.isFinished(), True)
def test_win_diagonally_from_left_top(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.CROSS, Board.Mark.EMPTY,
Board.Mark.CROSS, Board.Mark.NOUGHT, Board.Mark.NOUGHT,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.NOUGHT)
self.assertEqual(game.isFinished(), True)
def test_win_diagonally_from_right_top(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.NOUGHT, Board.Mark.NOUGHT, Board.Mark.CROSS,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.NOUGHT,
Board.Mark.CROSS, Board.Mark.CROSS, Board.Mark.NOUGHT]
game = Tictactoe(MockBoard())
self.assertEqual(game.isWinner(), True)
self.assertEqual(game.getWinner(), Board.Mark.CROSS)
self.assertEqual(game.isFinished(), True)
def test_board_as_array(self):
with mock.patch('src.tictactoe.game.Board') as MockBoard:
MockBoard.return_value.asArray.return_value = [Board.Mark.CROSS] * 9
game = Tictactoe(MockBoard())
self.assertEqual(game.getBoardAsArray(), [Board.Mark.CROSS] * 9)
MockBoard.return_value.asArray.assert_called_once()
if __name__ == '__main__':
unittest.main()
| 57.872 | 115 | 0.575892 | 761 | 7,234 | 5.377135 | 0.072273 | 0.219941 | 0.147116 | 0.167155 | 0.91911 | 0.91911 | 0.909091 | 0.909091 | 0.907625 | 0.907625 | 0 | 0.000404 | 0.316284 | 7,234 | 124 | 116 | 58.33871 | 0.826931 | 0 | 0 | 0.644231 | 0 | 0 | 0.037611 | 0.036504 | 0 | 0 | 0 | 0 | 0.307692 | 1 | 0.105769 | false | 0 | 0.048077 | 0 | 0.163462 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
47bd29bdf86b6bed51ed572d54ebcef9b843a7ce | 6,273 | py | Python | keras_gym/core/test_sync_target_model.py | KristianHolsheimer/keras-gym | 0296ddcc8685e1ce732c3173caaa0fd25af9ef58 | [
"MIT"
] | 16 | 2019-07-01T10:56:26.000Z | 2021-01-31T18:56:56.000Z | keras_gym/core/test_sync_target_model.py | KristianHolsheimer/keras-gym | 0296ddcc8685e1ce732c3173caaa0fd25af9ef58 | [
"MIT"
] | 10 | 2019-03-10T21:56:10.000Z | 2020-09-06T21:49:55.000Z | keras_gym/core/test_sync_target_model.py | KristianHolsheimer/keras-gym | 0296ddcc8685e1ce732c3173caaa0fd25af9ef58 | [
"MIT"
] | 5 | 2019-08-02T22:11:19.000Z | 2020-04-19T20:18:38.000Z | from gym.envs.toy_text.frozen_lake import FrozenLakeEnv, UP, DOWN, LEFT, RIGHT
import pytest
import numpy as np
from ..caching import MonteCarloCache
from ..wrappers import TrainMonitor
from .function_approximator import FunctionApproximator
from .value_v import V
from .value_q import QTypeI, QTypeII
from .policy_categorical import SoftmaxPolicy
# the MDP
actions = {LEFT: 'L', RIGHT: 'R', UP: 'U', DOWN: 'D'}
env = FrozenLakeEnv(is_slippery=False)
env = TrainMonitor(env)
# define function approximator
func = FunctionApproximator(env, lr=0.01)
def test_v():
v = V(func, gamma=0.9, bootstrap_n=1)
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
v.update(s, r, done)
s = s_next
expected = v.predict_model.get_weights()[0]
actual = v.target_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
v.sync_target_model()
actual = v.target_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_q1():
q = QTypeI(func, gamma=0.9, bootstrap_n=1, update_strategy='sarsa')
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
q.update(s, a, r, done)
s = s_next
expected = q.predict_model.get_weights()[0]
actual = q.target_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
q.sync_target_model()
actual = q.target_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_q2():
q = QTypeII(func, gamma=0.9, bootstrap_n=1, update_strategy='sarsa')
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
q.update(s, a, r, done)
s = s_next
expected = q.predict_model.get_weights()[0]
actual = q.target_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
q.sync_target_model()
actual = q.target_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_pi_vanilla():
pi = SoftmaxPolicy(func, update_strategy='vanilla')
cache = MonteCarloCache(env, gamma=0.9)
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
cache.add(s, a, r, done)
if done:
while cache:
S, A, G = cache.pop()
pi.batch_update(S, A, G)
s = s_next
expected = pi.predict_model.get_weights()[0]
actual = pi.target_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
pi.sync_target_model()
actual = pi.target_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_pi_ppo():
pi = SoftmaxPolicy(func, update_strategy='ppo')
cache = MonteCarloCache(env, gamma=0.9)
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
cache.add(s, a, r, done)
if done:
while cache:
S, A, G = cache.pop()
pi.batch_update(S, A, G)
s = s_next
expected = pi.predict_model.get_weights()[0]
actual = pi.target_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
pi.sync_target_model()
actual = pi.target_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_pi_param_ppo():
pi = SoftmaxPolicy(func, update_strategy='ppo')
cache = MonteCarloCache(env, gamma=0.9)
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
cache.add(s, a, r, done)
if done:
while cache:
S, A, G = cache.pop()
pi.batch_update(S, A, G)
s = s_next
expected = pi.predict_param_model.get_weights()[0]
actual = pi.target_param_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
pi.sync_target_model()
actual = pi.target_param_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
def test_pi_greedy_ppo():
pi = SoftmaxPolicy(func, update_strategy='ppo')
cache = MonteCarloCache(env, gamma=0.9)
# run episodes
for _ in range(20):
s = env.reset()
for a in [DOWN, DOWN, RIGHT, RIGHT, DOWN, RIGHT]:
s_next, r, done, info = env.step(a)
cache.add(s, a, r, done)
if done:
while cache:
S, A, G = cache.pop()
pi.batch_update(S, A, G)
s = s_next
expected = pi.predict_greedy_model.get_weights()[0]
actual = pi.target_greedy_model.get_weights()[0]
msg = "Arrays are not almost equal to 6 decimals"
with pytest.raises(AssertionError, match=msg):
np.testing.assert_array_almost_equal(actual, expected)
pi.sync_target_model()
actual = pi.target_greedy_model.get_weights()[0]
np.testing.assert_array_almost_equal(actual, expected)
| 30.901478 | 78 | 0.626813 | 886 | 6,273 | 4.259594 | 0.123025 | 0.044515 | 0.083466 | 0.08903 | 0.86619 | 0.854531 | 0.843402 | 0.825384 | 0.812136 | 0.812136 | 0 | 0.013769 | 0.259047 | 6,273 | 202 | 79 | 31.054455 | 0.798193 | 0.020246 | 0 | 0.8 | 0 | 0 | 0.051662 | 0 | 0 | 0 | 0 | 0 | 0.144828 | 1 | 0.048276 | false | 0 | 0.062069 | 0 | 0.110345 | 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 |
9a35b30a39e0d763d81cc6866215d9611db765b8 | 787 | py | Python | data/trainlabel.py | maanavshah/remote-intelligent-assistant | 65ea7287d0ca2dd98a376bbadc81a5093b9b6046 | [
"MIT"
] | 3 | 2020-04-09T12:40:57.000Z | 2021-05-23T15:49:56.000Z | data/trainlabel.py | maanavshah/remote-intelligent-assistant | 65ea7287d0ca2dd98a376bbadc81a5093b9b6046 | [
"MIT"
] | null | null | null | data/trainlabel.py | maanavshah/remote-intelligent-assistant | 65ea7287d0ca2dd98a376bbadc81a5093b9b6046 | [
"MIT"
] | null | null | null | y_train_text = [
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["folder"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["file"],
["network"],
["network"],
["network"],
["network"],
["network"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["system"],
["general"],
["general"],
["general"]
]
| 12.296875 | 16 | 0.449809 | 64 | 787 | 5.5 | 0.125 | 0.784091 | 1.125 | 1.431818 | 0.8125 | 0.8125 | 0.8125 | 0.8125 | 0.8125 | 0.8125 | 0 | 0 | 0.160102 | 787 | 63 | 17 | 12.492063 | 0.532526 | 0 | 0 | 0.952381 | 0 | 0 | 0.434562 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
7bd4fcac98c8437b7b3f4f79d3c6835f82ec3520 | 890,650 | py | Python | scripts/genallipc.py | AcK77/SwIPC | 53a6de6c0855b6f2b533059c265a667b6e2fd36b | [
"ISC"
] | 55 | 2017-09-27T06:52:17.000Z | 2021-11-14T20:00:29.000Z | scripts/genallipc.py | AcK77/SwIPC | 53a6de6c0855b6f2b533059c265a667b6e2fd36b | [
"ISC"
] | 30 | 2017-10-14T04:53:58.000Z | 2019-04-09T13:08:25.000Z | scripts/genallipc.py | AcK77/SwIPC | 53a6de6c0855b6f2b533059c265a667b6e2fd36b | [
"ISC"
] | 15 | 2017-09-27T06:52:19.000Z | 2019-07-18T04:28:08.000Z | info = [
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('nn::fssrv::sf::IFileSystemProxy', 605, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IFileSystemProxy', 606, '', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<8,8,8>, InRaw<1,1,0>', ''),
('nn::fssrv::sf::IFileSystemProxy', 607, '', '0x20 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<0x10,1,0x10>', ''),
('nn::fssrv::sf::IFileSystemProxy', 608, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IFileSystemProxy', 609, '', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystemProxy', 610, '', '0 bytes in - 0x18 bytes out - OutRaw<0x10,8,8>, OutRaw<1,1,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystemProxy', 620, '', '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>', ''),
('nn::fssrv::sf::IFileSystemProxy', 800, '', '0 bytes in - 0x80 bytes out - OutRaw<0x80,4,0>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1000, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1001, '', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1002, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1003, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IFileSystemProxy', 1004, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1005, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::fssrv::sf::IFileSystemProxy', 1006, '', '0 bytes in - 0 bytes out - Buffer<0,5,0>', ''),
('nn::fssrv::sf::IFileSystem', 0, '', '0x10 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFileSystem', 1, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 2, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 3, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 4, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 5, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, Buffer<1,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 6, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, Buffer<1,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 7, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 8, '', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFileSystem', 9, '', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFileSystem', 10, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IFileSystem', 11, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 12, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 13, '', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFileSystem', 14, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>, Buffer<0,0x19,0x301>', ''),
('nn::fssrv::sf::IFile', 0, '', '0x18 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0x10>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFile', 1, '', '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, Buffer<0,0x45,0>, InRaw<8,8,0x10>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IFile', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IFile', 3, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::fssrv::sf::IFile', 4, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IDirectory', 0, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>', ''),
('nn::fssrv::sf::IDirectory', 1, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IStorage', 0, '', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x46,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IStorage', 1, '', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x45,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IStorage', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IStorage', 3, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::fssrv::sf::IStorage', 4, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::ISaveDataInfoReader', 0, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 0, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 1, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 2, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 3, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 4, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 5, '', '8 bytes in - 0x18 bytes out - OutRaw<0x10,4,0>, OutRaw<8,8,0x10>, Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 100, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 101, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 110, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 111, '', '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 112, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 113, '', '8 bytes in - 0x18 bytes out - OutRaw<0x10,4,0>, OutRaw<8,8,0x10>, Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 114, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 200, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 201, '', '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IDeviceOperator', 202, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 203, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 204, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IDeviceOperator', 205, '', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 206, '', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 207, '', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>, Buffer<1,5,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IDeviceOperator', 208, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 209, '', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IDeviceOperator', 210, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 211, '', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 212, '', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>, Buffer<1,5,0>, InRaw<8,8,8>', ''),
('nn::fssrv::sf::IDeviceOperator', 213, '', '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 214, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 215, '', '0 bytes in - 0 bytes out', ''),
('nn::fssrv::sf::IDeviceOperator', 216, '', '0 bytes in - 0x10 bytes out - OutRaw<0x10,2,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 217, '', '0 bytes in - 0x40 bytes out - OutRaw<0x40,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 218, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 300, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::fssrv::sf::IDeviceOperator', 301, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::fssrv::sf::IEventNotifier', 0, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::fssrv::sf::IFileSystemProxyForLoader', 0, '', '8 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IFileSystemProxyForLoader', 1, '', '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>', ''),
('nn::fssrv::sf::IProgramRegistry', 0, '', '0x28 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<1,1,0>, Buffer<0,5,0>, InRaw<8,8,0x18>, Buffer<1,5,0>, InRaw<8,8,0x20>', ''),
('nn::fssrv::sf::IProgramRegistry', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::fssrv::sf::IProgramRegistry', 256, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::tma::IHtcManager', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, Buffer<1,5,0>', ''),
('nn::tma::IHtcManager', 1, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>', ''),
('nn::tma::IHtcManager', 2, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::tma::IHtcManager', 3, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::tma::IHtcManager', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::tma::IHtcManager', 5, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::tma::IHtcManager', 6, '', '0 bytes in - 0 bytes out - Buffer<0,6,0>', ''),
('nn::tma::IHtcManager', 7, '', '0 bytes in - 0 bytes out - Buffer<0,6,0>', ''),
('nn::tma::IHtcManager', 8, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::htc::tenv::IServiceManager', 0, '', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', ''),
('nn::htc::tenv::IService', 0, '', '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<0x40,1,0>', ''),
('nn::htc::tenv::IService', 1, '', '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x40,1,0>', ''),
('nn::htc::tenv::IService', 2, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::ro::detail::IRoInterface', 0, '', '0x28 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>, InRaw<8,8,0x20>', ''),
('nn::ro::detail::IRoInterface', 1, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::ro::detail::IRoInterface', 2, '', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>', ''),
('nn::ro::detail::IRoInterface', 3, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::ro::detail::IRoInterface', 4, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InHandle<0,1>', ''),
('nn::sm::detail::IUserInterface', 0, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::sm::detail::IUserInterface', 1, '', '8 bytes in - 0 bytes out - OutHandle<0,2>, InRaw<8,1,0>', ''),
('nn::sm::detail::IUserInterface', 2, '', '0x10 bytes in - 0 bytes out - OutHandle<0,2>, InRaw<8,1,0>, InRaw<4,4,0xC>, InRaw<1,1,8>', ''),
('nn::sm::detail::IUserInterface', 3, '', '8 bytes in - 0 bytes out - InRaw<8,1,0>', ''),
('nn::sm::detail::IManagerInterface', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,5,0>, Buffer<1,5,0>', ''),
('nn::sm::detail::IManagerInterface', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::socket::sf::IClient', 0, '', '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,0x20>, InHandle<0,1>, InRaw<8,8,0x28>, InRaw<0x20,4,0>', ''),
('nn::socket::sf::IClient', 1, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::socket::sf::IClient', 2, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 3, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 4, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 5, '', '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x22,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, InRaw<0x18,8,8>', ''),
('nn::socket::sf::IClient', 6, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 7, '', '0 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, OutRaw<4,4,8>, Buffer<2,0x21,0>', ''),
('nn::socket::sf::IClient', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 9, '', '8 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, Buffer<1,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 10, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 11, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>', ''),
('nn::socket::sf::IClient', 12, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 13, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 14, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 15, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 16, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 17, '', '0xC bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 18, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 19, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x21,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, Buffer<6,0x22,0>, Buffer<7,0x22,0>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 20, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 21, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 22, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 23, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 24, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 25, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>', ''),
('nn::socket::sf::IClient', 26, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 27, '', '0x10 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>', ''),
('nn::socket::sf::IClient', 28, '', '8 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,0>, Buffer<0,0x22,0>', ''),
('nn::socket::sf::IClient', 29, '', '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<0x10,8,0x10>', ''),
('nn::socket::sf::IClient', 30, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 0, '', '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,0x20>, InHandle<0,1>, InRaw<8,8,0x28>, InRaw<0x20,4,0>', ''),
('nn::socket::sf::IClient', 1, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::socket::sf::IClient', 2, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 3, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 4, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 5, '', '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x22,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, InRaw<0x18,8,8>', ''),
('nn::socket::sf::IClient', 6, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 7, '', '0 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, OutRaw<4,4,8>, Buffer<2,0x21,0>', ''),
('nn::socket::sf::IClient', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 9, '', '8 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, Buffer<1,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 10, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 11, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>', ''),
('nn::socket::sf::IClient', 12, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 13, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 14, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 15, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 16, '', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 17, '', '0xC bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x22,0>, OutRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 18, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 19, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x21,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, Buffer<6,0x22,0>, Buffer<7,0x22,0>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 20, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::socket::sf::IClient', 21, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 22, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::socket::sf::IClient', 23, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 24, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>', ''),
('nn::socket::sf::IClient', 25, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>', ''),
('nn::socket::sf::IClient', 26, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::socket::sf::IClient', 27, '', '0x10 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>', ''),
('nn::socket::sf::IClient', 28, '', '8 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,0>, Buffer<0,0x22,0>', ''),
('nn::socket::sf::IClient', 29, '', '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<0x10,8,0x10>', ''),
('nn::socket::sf::IClient', 30, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>, InRaw<4,4,8>', ''),
('nn::socket::resolver::IResolver', 0, '', '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>', ''),
('nn::socket::resolver::IResolver', 1, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>', ''),
('nn::socket::resolver::IResolver', 2, '', '0x10 bytes in - 0xC bytes out - takes pid - InRaw<4,4,4>, InRaw<8,8,8>, InRaw<1,1,0>, Buffer<0,5,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<1,6,0>, OutRaw<4,4,8>', ''),
('nn::socket::resolver::IResolver', 3, '', '0x18 bytes in - 0xC bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, Buffer<0,5,0>, InRaw<4,4,4>, InRaw<4,4,8>, OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<1,6,0>, OutRaw<4,4,8>', ''),
('nn::socket::resolver::IResolver', 4, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>', ''),
('nn::socket::resolver::IResolver', 5, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>', ''),
('nn::socket::resolver::IResolver', 6, '', '0x10 bytes in - 0xC bytes out - takes pid - InRaw<4,4,4>, InRaw<8,8,8>, InRaw<1,1,0>, Buffer<0,5,0>, Buffer<1,5,0>, Buffer<2,5,0>, Buffer<3,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>', ''),
('nn::socket::resolver::IResolver', 7, '', '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,8>, Buffer<0,5,0>, Buffer<1,6,0>, Buffer<2,6,0>, InRaw<4,4,4>, OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::socket::resolver::IResolver', 8, '', '8 bytes in - 4 bytes out - takes pid - InRaw<8,8,0>, OutRaw<4,4,0>', ''),
('nn::socket::resolver::IResolver', 9, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::account::IAccountServiceForApplication', 0, 'GetUserCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::account::IAccountServiceForApplication', 1, 'GetUserExistence', '0x10 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<bool,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForApplication', 2, 'ListAllUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForApplication', 3, 'ListOpenUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForApplication', 4, 'GetLastOpenedUser', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::account::Uid,void>)'),
('nn::account::IAccountServiceForApplication', 5, 'GetProfile', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::profile::IProfile>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForApplication', 6, 'GetProfileDigest', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::account::ProfileDigest,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForApplication', 50, 'IsUserRegistrationRequestPermitted', '8 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,0>', '(nn::sf::Out<bool,void>,unsigned long)'),
('nn::account::IAccountServiceForApplication', 51, 'TrySelectUserWithoutInteraction', '1 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<1,1,0>', '(nn::sf::Out<nn::account::Uid,void>,bool)'),
('nn::account::IAccountServiceForApplication', 100, 'InitializeApplicationInfo', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(unsigned long)'),
('nn::account::IAccountServiceForApplication', 101, 'GetBaasAccountManagerForApplication', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IManagerForApplication>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForApplication', 102, 'AuthenticateApplicationAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::IAccountServiceForApplication', 110, 'StoreSaveDataThumbnail', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>, Buffer<0,5,0>', '(nn::account::Uid const&,nn::sf::InBuffer const&)'),
('nn::account::IAccountServiceForApplication', 111, 'ClearSaveDataThumbnail', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForApplication', 120, 'CreateGuestLoginRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, InHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IGuestLoginRequest>,void>,nn::sf::NativeHandle &&,unsigned int)'),
('nn::account::profile::IProfile', 0, 'Get', '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>, Buffer<0,0x1A,0x80>', '(nn::sf::Out<nn::account::profile::ProfileBase,void>,nn::sf::Out<nn::account::profile::UserData,void>)'),
('nn::account::profile::IProfile', 1, 'GetBase', '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>', '(nn::sf::Out<nn::account::profile::ProfileBase,void>)'),
('nn::account::profile::IProfile', 10, 'GetImageSize', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::account::profile::IProfile', 11, 'LoadImage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IManagerForApplication', 0, 'CheckAvailability', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::baas::IManagerForApplication', 1, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::baas::IManagerForApplication', 2, 'EnsureIdTokenCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IManagerForApplication', 3, 'LoadIdTokenCache', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IManagerForApplication', 130, 'GetNintendoAccountUserResourceCacheForApplication', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x68>, Buffer<1,6,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>,nn::sf::Out<nn::account::nas::NasUserBaseForApplication,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IManagerForApplication', 150, 'CreateAuthorizationRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IAuthorizationRequest>,void>,nn::account::NintendoAccountAuthorizationRequestParameters const&,nn::sf::NativeHandle &&,unsigned int)'),
('nn::account::detail::IAsyncContext', 0, 'GetSystemEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::account::detail::IAsyncContext', 1, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::detail::IAsyncContext', 2, 'HasDone', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::detail::IAsyncContext', 3, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::nas::IAuthorizationRequest', 0, 'GetSessionId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::nas::IAuthorizationRequest', 10, 'InvokeWithoutInteractionAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::nas::IAuthorizationRequest', 19, 'IsAuthorized', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::nas::IAuthorizationRequest', 20, 'GetAuthorizationCode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::nas::IAuthorizationRequest', 21, 'GetIdToken', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::nas::IAuthorizationRequest', 22, 'GetState', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x80>', '(nn::sf::Out<nn::account::nas::State,void>)'),
('nn::account::baas::IGuestLoginRequest', 0, 'GetSessionId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::baas::IGuestLoginRequest', 12, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::baas::IGuestLoginRequest', 13, 'GetLinkedNintendoAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>)'),
('nn::account::baas::IGuestLoginRequest', 14, 'GetNickname', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<char> const&)'),
('nn::account::baas::IGuestLoginRequest', 15, 'GetProfileImage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IGuestLoginRequest', 21, 'LoadIdTokenCache', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::IAccountServiceForSystemService', 0, 'GetUserCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::account::IAccountServiceForSystemService', 1, 'GetUserExistence', '0x10 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<bool,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 2, 'ListAllUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForSystemService', 3, 'ListOpenUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForSystemService', 4, 'GetLastOpenedUser', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::account::Uid,void>)'),
('nn::account::IAccountServiceForSystemService', 5, 'GetProfile', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::profile::IProfile>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 6, 'GetProfileDigest', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::account::ProfileDigest,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 50, 'IsUserRegistrationRequestPermitted', '8 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,0>', '(nn::sf::Out<bool,void>,unsigned long)'),
('nn::account::IAccountServiceForSystemService', 51, 'TrySelectUserWithoutInteraction', '1 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<1,1,0>', '(nn::sf::Out<nn::account::Uid,void>,bool)'),
('nn::account::IAccountServiceForSystemService', 100, 'GetUserRegistrationNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForSystemService', 101, 'GetUserStateChangeNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForSystemService', 102, 'GetBaasAccountManagerForSystemService', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IManagerForSystemService>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 103, 'GetBaasUserAvailabilityChangeNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForSystemService', 104, 'GetProfileUpdateNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForSystemService', 110, 'StoreSaveDataThumbnail', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,5,0>', '(nn::account::Uid const&,nn::ApplicationId,nn::sf::InBuffer const&)'),
('nn::account::IAccountServiceForSystemService', 111, 'ClearSaveDataThumbnail', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::ApplicationId)'),
('nn::account::IAccountServiceForSystemService', 112, 'LoadSaveDataThumbnail', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,nn::account::Uid const&,nn::ApplicationId)'),
('nn::account::IAccountServiceForSystemService', 190, 'GetUserLastOpenedApplication', '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,8>, OutRaw<4,4,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::ApplicationId,void>,nn::sf::Out<unsigned int,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 997, 'DebugInvalidateTokenCacheForUser', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 998, 'DebugSetUserStateClose', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForSystemService', 999, 'DebugSetUserStateOpen', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::detail::INotifier', 0, 'GetSystemEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::account::baas::IManagerForSystemService', 0, 'CheckAvailability', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::baas::IManagerForSystemService', 1, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::baas::IManagerForSystemService', 2, 'EnsureIdTokenCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IManagerForSystemService', 3, 'LoadIdTokenCache', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IManagerForSystemService', 100, 'SetSystemProgramIdentification', '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>', '(nn::account::SystemProgramIdentification const&,unsigned long)'),
('nn::account::baas::IManagerForSystemService', 120, 'GetNintendoAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>)'),
('nn::account::baas::IManagerForSystemService', 130, 'GetNintendoAccountUserResourceCache', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x24F>, Buffer<1,6,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>,nn::sf::Out<nn::account::nas::NasUserBase,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IManagerForSystemService', 131, 'RefreshNintendoAccountUserResourceCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IManagerForSystemService', 132, 'RefreshNintendoAccountUserResourceCacheAsyncIfSecondsElapsed', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,unsigned int)'),
('nn::account::baas::IManagerForSystemService', 150, 'CreateAuthorizationRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x108>, Buffer<1,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IAuthorizationRequest>,void>,nn::account::nas::NasClientInfo const&,nn::account::NintendoAccountAuthorizationRequestParameters const&,nn::sf::NativeHandle &&,unsigned int)'),
('nn::account::IAccountServiceForAdministrator', 0, 'GetUserCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::account::IAccountServiceForAdministrator', 1, 'GetUserExistence', '0x10 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<bool,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 2, 'ListAllUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForAdministrator', 3, 'ListOpenUsers', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<nn::account::Uid> const&)'),
('nn::account::IAccountServiceForAdministrator', 4, 'GetLastOpenedUser', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::account::Uid,void>)'),
('nn::account::IAccountServiceForAdministrator', 5, 'GetProfile', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::profile::IProfile>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 6, 'GetProfileDigest', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::account::ProfileDigest,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 50, 'IsUserRegistrationRequestPermitted', '8 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,0>', '(nn::sf::Out<bool,void>,unsigned long)'),
('nn::account::IAccountServiceForAdministrator', 51, 'TrySelectUserWithoutInteraction', '1 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<1,1,0>', '(nn::sf::Out<nn::account::Uid,void>,bool)'),
('nn::account::IAccountServiceForAdministrator', 100, 'GetUserRegistrationNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForAdministrator', 101, 'GetUserStateChangeNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForAdministrator', 102, 'GetBaasAccountManagerForSystemService', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IManagerForSystemService>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 103, 'GetBaasUserAvailabilityChangeNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForAdministrator', 104, 'GetProfileUpdateNotifier', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::INotifier>,void>)'),
('nn::account::IAccountServiceForAdministrator', 110, 'StoreSaveDataThumbnail', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,5,0>', '(nn::account::Uid const&,nn::ApplicationId,nn::sf::InBuffer const&)'),
('nn::account::IAccountServiceForAdministrator', 111, 'ClearSaveDataThumbnail', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::ApplicationId)'),
('nn::account::IAccountServiceForAdministrator', 112, 'LoadSaveDataThumbnail', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,nn::account::Uid const&,nn::ApplicationId)'),
('nn::account::IAccountServiceForAdministrator', 190, 'GetUserLastOpenedApplication', '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,8>, OutRaw<4,4,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::ApplicationId,void>,nn::sf::Out<unsigned int,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 997, 'DebugInvalidateTokenCacheForUser', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 998, 'DebugSetUserStateClose', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 999, 'DebugSetUserStateOpen', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 200, 'BeginUserRegistration', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::account::Uid,void>)'),
('nn::account::IAccountServiceForAdministrator', 201, 'CompleteUserRegistration', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 202, 'CancelUserRegistration', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 203, 'DeleteUser', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 204, 'SetUserPosition', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::account::Uid const&,int)'),
('nn::account::IAccountServiceForAdministrator', 205, 'GetProfileEditor', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::profile::IProfileEditor>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 206, 'CompleteUserRegistrationForcibly', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 210, 'CreateFloatingRegistrationRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, InHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IFloatingRegistrationRequest>,void>,nn::sf::NativeHandle &&,unsigned int)'),
('nn::account::IAccountServiceForAdministrator', 230, 'AuthenticateServiceAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::IAccountServiceForAdministrator', 250, 'GetBaasAccountAdministrator', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::baas::IAdministrator>,void>,nn::account::Uid const&)'),
('nn::account::IAccountServiceForAdministrator', 290, 'ProxyProcedureForGuestLoginWithNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IOAuthProcedureForExternalNsa>,void>,nn::account::detail::Uuid const&)'),
('nn::account::IAccountServiceForAdministrator', 291, 'ProxyProcedureForFloatingRegistrationWithNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IOAuthProcedureForExternalNsa>,void>,nn::account::detail::Uuid const&)'),
('nn::account::IAccountServiceForAdministrator', 299, 'SuspendBackgroundDaemon', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::ISessionObject>,void>)'),
('nn::account::profile::IProfileEditor', 0, 'Get', '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>, Buffer<0,0x1A,0x80>', '(nn::sf::Out<nn::account::profile::ProfileBase,void>,nn::sf::Out<nn::account::profile::UserData,void>)'),
('nn::account::profile::IProfileEditor', 1, 'GetBase', '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>', '(nn::sf::Out<nn::account::profile::ProfileBase,void>)'),
('nn::account::profile::IProfileEditor', 10, 'GetImageSize', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::account::profile::IProfileEditor', 11, 'LoadImage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::profile::IProfileEditor', 100, 'Store', '0x38 bytes in - 0 bytes out - InRaw<0x38,8,0>, Buffer<0,0x19,0x80>', '(nn::account::profile::ProfileBase const&,nn::account::profile::UserData const&)'),
('nn::account::profile::IProfileEditor', 101, 'StoreWithImage', '0x38 bytes in - 0 bytes out - InRaw<0x38,8,0>, Buffer<0,0x19,0x80>, Buffer<1,5,0>', '(nn::account::profile::ProfileBase const&,nn::account::profile::UserData const&,nn::sf::InBuffer const&)'),
('nn::account::baas::IFloatingRegistrationRequest', 0, 'GetSessionId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::baas::IFloatingRegistrationRequest', 12, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::baas::IFloatingRegistrationRequest', 13, 'GetLinkedNintendoAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>)'),
('nn::account::baas::IFloatingRegistrationRequest', 14, 'GetNickname', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<char> const&)'),
('nn::account::baas::IFloatingRegistrationRequest', 15, 'GetProfileImage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IFloatingRegistrationRequest', 21, 'LoadIdTokenCache', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IFloatingRegistrationRequest', 100, 'RegisterAsync', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, OutObject<0,0>', '(nn::sf::Out<nn::account::Uid,void>,nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IFloatingRegistrationRequest', 101, 'RegisterWithUidAsync', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::account::Uid const&)'),
('nn::account::baas::IFloatingRegistrationRequest', 110, 'SetSystemProgramIdentification', '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>', '(nn::account::SystemProgramIdentification const&,unsigned long)'),
('nn::account::baas::IFloatingRegistrationRequest', 111, 'EnsureIdTokenCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 0, 'CheckAvailability', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::baas::IAdministrator', 1, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::baas::IAdministrator', 2, 'EnsureIdTokenCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 3, 'LoadIdTokenCache', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IAdministrator', 100, 'SetSystemProgramIdentification', '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>', '(nn::account::SystemProgramIdentification const&,unsigned long)'),
('nn::account::baas::IAdministrator', 120, 'GetNintendoAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>)'),
('nn::account::baas::IAdministrator', 130, 'GetNintendoAccountUserResourceCache', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x24F>, Buffer<1,6,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>,nn::sf::Out<nn::account::nas::NasUserBase,void>,nn::sf::OutBuffer const&)'),
('nn::account::baas::IAdministrator', 131, 'RefreshNintendoAccountUserResourceCacheAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 132, 'RefreshNintendoAccountUserResourceCacheAsyncIfSecondsElapsed', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,unsigned int)'),
('nn::account::baas::IAdministrator', 150, 'CreateAuthorizationRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x108>, Buffer<1,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IAuthorizationRequest>,void>,nn::account::nas::NasClientInfo const&,nn::account::NintendoAccountAuthorizationRequestParameters const&,nn::sf::NativeHandle &&,unsigned int)'),
('nn::account::baas::IAdministrator', 200, 'IsRegistered', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::baas::IAdministrator', 201, 'RegisterAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 202, 'UnregisterAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 203, 'DeleteRegistrationInfoLocally', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::baas::IAdministrator', 220, 'SynchronizeProfileAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 221, 'UploadProfileAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 222, 'SynchronizeProfileAsyncIfSecondsElapsed', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,unsigned int)'),
('nn::account::baas::IAdministrator', 250, 'IsLinkedWithNintendoAccount', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::baas::IAdministrator', 251, 'CreateProcedureToLinkWithNintendoAccount', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IOAuthProcedureForNintendoAccountLinkage>,void>)'),
('nn::account::baas::IAdministrator', 252, 'ResumeProcedureToLinkWithNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::nas::IOAuthProcedureForNintendoAccountLinkage>,void>,nn::account::detail::Uuid const&)'),
('nn::account::baas::IAdministrator', 255, 'CreateProcedureToUpdateLinkageStateOfNintendoAccount', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::http::IOAuthProcedure>,void>)'),
('nn::account::baas::IAdministrator', 256, 'ResumeProcedureToUpdateLinkageStateOfNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::http::IOAuthProcedure>,void>,nn::account::detail::Uuid const&)'),
('nn::account::baas::IAdministrator', 260, 'CreateProcedureToLinkNnidWithNintendoAccount', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::http::IOAuthProcedure>,void>)'),
('nn::account::baas::IAdministrator', 261, 'ResumeProcedureToLinkNnidWithNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::http::IOAuthProcedure>,void>,nn::account::detail::Uuid const&)'),
('nn::account::baas::IAdministrator', 280, 'ProxyProcedureToAcquireApplicationAuthorizationForNintendoAccount', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::http::IOAuthProcedure>,void>,nn::account::detail::Uuid const&)'),
('nn::account::baas::IAdministrator', 997, 'DebugUnlinkNintendoAccountAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::baas::IAdministrator', 998, 'DebugSetAvailabilityErrorDetail', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 0, 'PrepareAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 1, 'GetRequest', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>', '(nn::sf::Out<nn::account::RequestUrl,void>,nn::sf::Out<nn::account::CallbackUri,void>)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 2, 'ApplyResponse', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 3, 'ApplyResponseAsync', '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::sf::InArray<char> const&)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 10, 'Suspend', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 100, 'GetRequestWithTheme', '4 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>, InRaw<4,4,0>', '(nn::sf::Out<nn::account::RequestUrl,void>,nn::sf::Out<nn::account::CallbackUri,void>,int)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 101, 'IsNetworkServiceAccountReplaced', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 199, 'GetUrlForIntroductionOfExtraMembership', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>', '(nn::sf::Out<nn::account::RequestUrl,void>)'),
('nn::account::http::IOAuthProcedure', 0, 'PrepareAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::http::IOAuthProcedure', 1, 'GetRequest', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>', '(nn::sf::Out<nn::account::RequestUrl,void>,nn::sf::Out<nn::account::CallbackUri,void>)'),
('nn::account::http::IOAuthProcedure', 2, 'ApplyResponse', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::account::http::IOAuthProcedure', 3, 'ApplyResponseAsync', '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::sf::InArray<char> const&)'),
('nn::account::http::IOAuthProcedure', 10, 'Suspend', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 0, 'PrepareAsync', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 1, 'GetRequest', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>', '(nn::sf::Out<nn::account::RequestUrl,void>,nn::sf::Out<nn::account::CallbackUri,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 2, 'ApplyResponse', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 3, 'ApplyResponseAsync', '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::sf::InArray<char> const&)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 10, 'Suspend', '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>', '(nn::sf::Out<nn::account::detail::Uuid,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 100, 'GetAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NetworkServiceAccountId,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 101, 'GetLinkedNintendoAccountId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::account::NintendoAccountId,void>)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 102, 'GetNickname', '0 bytes in - 0 bytes out - Buffer<0,0xA,0>', '(nn::sf::OutArray<char> const&)'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 103, 'GetProfileImage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::account::detail::ISessionObject', 999, 'Dummy', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::IBaasAccessTokenAccessor', 0, 'EnsureCacheAsync', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::account::Uid const&)'),
('nn::account::IBaasAccessTokenAccessor', 1, 'LoadCache', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,nn::account::Uid const&)'),
('nn::account::IBaasAccessTokenAccessor', 2, 'GetDeviceAccountId', '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x10,8,0>', '(nn::sf::Out<unsigned long,void>,nn::account::Uid const&)'),
('nn::account::IBaasAccessTokenAccessor', 50, 'RegisterNotificationTokenAsync', '0x38 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0x28>, InRaw<0x28,1,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::account::Uid const&,nn::npns::NotificationToken const&)'),
('nn::account::IBaasAccessTokenAccessor', 51, 'UnregisterNotificationTokenAsync', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::account::detail::IAsyncContext>,void>,nn::account::Uid const&)'),
('nn::account::detail::IAsyncContext', 0, 'GetSystemEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::account::detail::IAsyncContext', 1, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::account::detail::IAsyncContext', 2, 'HasDone', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::account::detail::IAsyncContext', 3, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IAllSystemAppletProxiesService', 100, 'OpenSystemAppletProxy', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ISystemAppletProxy>,void>,unsigned long,nn::sf::NativeHandle &&)'),
('nn::am::service::IAllSystemAppletProxiesService', 200, 'OpenLibraryAppletProxyOld', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletProxy>,void>,unsigned long,nn::sf::NativeHandle &&)'),
('nn::am::service::IAllSystemAppletProxiesService', 201, 'OpenLibraryAppletProxy', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>, Buffer<0,0x15,0x80>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletProxy>,void>,unsigned long,nn::sf::NativeHandle &&,nn::am::AppletAttribute const&)'),
('nn::am::service::IAllSystemAppletProxiesService', 300, 'OpenOverlayAppletProxy', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IOverlayAppletProxy>,void>,unsigned long,nn::sf::NativeHandle &&)'),
('nn::am::service::IAllSystemAppletProxiesService', 350, 'OpenSystemApplicationProxy', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationProxy>,void>,unsigned long,nn::sf::NativeHandle &&)'),
('nn::am::service::IAllSystemAppletProxiesService', 400, 'CreateSelfLibraryAppletCreatorForDevelop', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletCreator>,void>,unsigned long)'),
('nn::am::service::ISystemAppletProxy', 0, 'GetCommonStateGetter', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ICommonStateGetter>,void>)'),
('nn::am::service::ISystemAppletProxy', 1, 'GetSelfController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ISelfController>,void>)'),
('nn::am::service::ISystemAppletProxy', 2, 'GetWindowController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IWindowController>,void>)'),
('nn::am::service::ISystemAppletProxy', 3, 'GetAudioController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IAudioController>,void>)'),
('nn::am::service::ISystemAppletProxy', 4, 'GetDisplayController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDisplayController>,void>)'),
('nn::am::service::ISystemAppletProxy', 1000, 'GetDebugFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDebugFunctions>,void>)'),
('nn::am::service::ISystemAppletProxy', 10, 'GetProcessWindingController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IProcessWindingController>,void>)'),
('nn::am::service::ISystemAppletProxy', 11, 'GetLibraryAppletCreator', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletCreator>,void>)'),
('nn::am::service::ISystemAppletProxy', 20, 'GetHomeMenuFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IHomeMenuFunctions>,void>)'),
('nn::am::service::ISystemAppletProxy', 21, 'GetGlobalStateController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IGlobalStateController>,void>)'),
('nn::am::service::ISystemAppletProxy', 22, 'GetApplicationCreator', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationCreator>,void>)'),
('nn::am::service::ICommonStateGetter', 0, 'GetEventHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ICommonStateGetter', 1, 'ReceiveMessage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::am::AppletMessage,void>)'),
('nn::am::service::ICommonStateGetter', 2, 'GetThisAppletKind', '0 bytes in - 8 bytes out - OutRaw<8,4,0>', '(nn::sf::Out<nn::am::service::AppletKind,void>)'),
('nn::am::service::ICommonStateGetter', 3, 'AllowToEnterSleep', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ICommonStateGetter', 4, 'DisallowToEnterSleep', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ICommonStateGetter', 5, 'GetOperationMode', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<unsigned char,void>)'),
('nn::am::service::ICommonStateGetter', 6, 'GetPerformanceMode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::am::service::ICommonStateGetter', 7, 'GetCradleStatus', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<unsigned char,void>)'),
('nn::am::service::ICommonStateGetter', 8, 'GetBootMode', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<unsigned char,void>)'),
('nn::am::service::ICommonStateGetter', 9, 'GetCurrentFocusState', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<unsigned char,void>)'),
('nn::am::service::ICommonStateGetter', 10, 'RequestToAcquireSleepLock', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ICommonStateGetter', 11, 'ReleaseSleepLock', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ICommonStateGetter', 12, 'ReleaseSleepLockTransiently', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ICommonStateGetter', 13, 'GetAcquiredSleepLockEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ICommonStateGetter', 20, 'PushToGeneralChannel', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ICommonStateGetter', 30, 'GetHomeButtonReaderLockAccessor', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILockAccessor>,void>)'),
('nn::am::service::ICommonStateGetter', 31, 'GetReaderLockAccessorEx', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILockAccessor>,void>,int)'),
('nn::am::service::ICommonStateGetter', 40, 'GetCradleFwVersion', '0 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>, OutRaw<4,4,0xC>', '(nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>)'),
('nn::am::service::ICommonStateGetter', 50, 'IsVrModeEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ICommonStateGetter', 51, 'SetVrModeEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ICommonStateGetter', 55, 'IsInControllerFirmwareUpdateSection', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ICommonStateGetter', 60, 'GetDefaultDisplayResolution', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', '(nn::sf::Out<int,void>,nn::sf::Out<int,void>)'),
('nn::am::service::ICommonStateGetter', 61, 'GetDefaultDisplayResolutionChangeEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILockAccessor', 1, 'TryLock', '1 bytes in - 1 bytes out - OutRaw<1,1,0>, OutHandle<0,1>, InRaw<1,1,0>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::NativeHandle,void>,bool)'),
('nn::am::service::ILockAccessor', 2, 'Unlock', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILockAccessor', 3, 'GetEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ISelfController', 0, 'Exit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 1, 'LockExit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 2, 'UnlockExit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 3, 'EnterFatalSection', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 4, 'LeaveFatalSection', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 9, 'GetLibraryAppletLaunchableEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ISelfController', 10, 'SetScreenShotPermission', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::am::service::ISelfController', 11, 'SetOperationModeChangedNotification', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 12, 'SetPerformanceModeChangedNotification', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 13, 'SetFocusHandlingMode', '3 bytes in - 0 bytes out - InRaw<1,1,0>, InRaw<1,1,1>, InRaw<1,1,2>', '(bool,bool,bool)'),
('nn::am::service::ISelfController', 14, 'SetRestartMessageEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 15, 'SetScreenShotAppletIdentityInfo', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::am::service::AppletIdentityInfo const&)'),
('nn::am::service::ISelfController', 16, 'SetOutOfFocusSuspendingEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 17, 'SetControllerFirmwareUpdateSection', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 18, 'SetRequiresCaptureButtonShortPressedMessage', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 19, 'SetScreenShotImageOrientation', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::am::service::ISelfController', 40, 'CreateManagedDisplayLayer', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::am::service::ISelfController', 50, 'SetHandlesRequestToDisplay', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 51, 'ApproveToDisplay', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 60, 'OverrideAutoSleepTimeAndDimmingTime', '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<4,4,0xC>', '(int,int,int,int)'),
('nn::am::service::ISelfController', 61, 'SetMediaPlaybackState', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ISelfController', 62, 'SetIdleTimeDetectionExtension', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::am::service::ISelfController', 63, 'GetIdleTimeDetectionExtension', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::am::service::ISelfController', 64, 'SetInputDetectionSourceSet', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::am::service::ISelfController', 65, 'ReportUserIsActive', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ISelfController', 66, 'GetCurrentIlluminance', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<float,void>)'),
('nn::am::service::ISelfController', 67, 'IsIlluminanceAvailable', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IWindowController', 0, 'CreateWindow', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IWindow>,void>,nn::am::service::WindowCreationOption)'),
('nn::am::service::IWindowController', 1, 'GetAppletResourceUserId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::applet::AppletResourceUserId,void>)'),
('nn::am::service::IWindowController', 10, 'AcquireForegroundRights', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IWindowController', 11, 'ReleaseForegroundRights', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IWindowController', 12, 'RejectToChangeIntoBackground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IAudioController', 0, 'SetExpectedMasterVolume', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(float,float)'),
('nn::am::service::IAudioController', 1, 'GetMainAppletExpectedMasterVolume', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<float,void>)'),
('nn::am::service::IAudioController', 2, 'GetLibraryAppletExpectedMasterVolume', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<float,void>)'),
('nn::am::service::IAudioController', 3, 'ChangeMainAppletMasterVolume', '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<8,8,8>', '(float,long)'),
('nn::am::service::IAudioController', 4, 'SetTransparentVolumeRate', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(float)'),
('nn::am::service::IDisplayController', 0, 'GetLastForegroundCaptureImage', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 1, 'UpdateLastForegroundCaptureImage', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IDisplayController', 2, 'GetLastApplicationCaptureImage', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 3, 'GetCallerAppletCaptureImage', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 4, 'UpdateCallerAppletCaptureImage', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IDisplayController', 5, 'GetLastForegroundCaptureImageEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, Buffer<0,6,0>', '(nn::sf::Out<bool,void>,nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 6, 'GetLastApplicationCaptureImageEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, Buffer<0,6,0>', '(nn::sf::Out<bool,void>,nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 7, 'GetCallerAppletCaptureImageEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, Buffer<0,6,0>', '(nn::sf::Out<bool,void>,nn::sf::OutBuffer const&)'),
('nn::am::service::IDisplayController', 8, 'TakeScreenShotOfOwnLayer', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(int,bool)'),
('nn::am::service::IDisplayController', 10, 'AcquireLastApplicationCaptureBuffer', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 11, 'ReleaseLastApplicationCaptureBuffer', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IDisplayController', 12, 'AcquireLastForegroundCaptureBuffer', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 13, 'ReleaseLastForegroundCaptureBuffer', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IDisplayController', 14, 'AcquireCallerAppletCaptureBuffer', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 15, 'ReleaseCallerAppletCaptureBuffer', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IDisplayController', 16, 'AcquireLastApplicationCaptureBufferEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, OutHandle<0,1>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 17, 'AcquireLastForegroundCaptureBufferEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, OutHandle<0,1>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 18, 'AcquireCallerAppletCaptureBufferEx', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, OutHandle<0,1>', '(nn::sf::Out<bool,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IDisplayController', 20, 'ClearCaptureBuffer', '0xC bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>, InRaw<4,4,8>', '(int,bool,unsigned int)'),
('nn::am::service::IDisplayController', 21, 'ClearAppletTransitionBuffer', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::am::service::IDebugFunctions', 0, 'NotifyMessageToHomeMenuForDebug', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::am::AppletMessage)'),
('nn::am::service::IDebugFunctions', 1, 'OpenMainApplication', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationAccessor>,void>)'),
('nn::am::service::IDebugFunctions', 10, 'EmulateButtonEvent', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::am::service::EmulatedButtonEvent)'),
('nn::am::service::IDebugFunctions', 20, 'InvalidateTransitionLayer', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 0, 'GetAppletStateChangedEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IApplicationAccessor', 1, 'IsCompleted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IApplicationAccessor', 10, 'Start', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 20, 'RequestExit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 25, 'Terminate', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 30, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 101, 'RequestForApplicationToGetForeground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 110, 'TerminateAllLibraryApplets', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationAccessor', 111, 'AreAnyLibraryAppletsLeft', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IApplicationAccessor', 112, 'GetCurrentLibraryApplet', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IAppletAccessor>,void>)'),
('nn::am::service::IApplicationAccessor', 120, 'GetApplicationId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::ncm::ApplicationId,void>)'),
('nn::am::service::IApplicationAccessor', 121, 'PushLaunchParameter', '4 bytes in - 0 bytes out - InRaw<4,4,0>, InObject<0,0>', '(unsigned int,nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::IApplicationAccessor', 122, 'GetApplicationControlProperty', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::am::service::IApplicationAccessor', 123, 'GetApplicationLaunchProperty', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::am::service::IAppletAccessor', 0, 'GetAppletStateChangedEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IAppletAccessor', 1, 'IsCompleted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IAppletAccessor', 10, 'Start', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IAppletAccessor', 20, 'RequestExit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IAppletAccessor', 25, 'Terminate', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IAppletAccessor', 30, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IProcessWindingController', 0, 'GetLaunchReason', '0 bytes in - 4 bytes out - OutRaw<4,1,0>', '(nn::sf::Out<nn::am::service::AppletProcessLaunchReason,void>)'),
('nn::am::service::IProcessWindingController', 11, 'OpenCallingLibraryApplet', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletAccessor>,void>)'),
('nn::am::service::IProcessWindingController', 21, 'PushContext', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::IProcessWindingController', 22, 'PopContext', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::IProcessWindingController', 23, 'CancelWindingReservation', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IProcessWindingController', 30, 'WindAndDoReserved', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IProcessWindingController', 40, 'ReserveToStartAndWaitAndUnwindThis', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::ILibraryAppletAccessor>)'),
('nn::am::service::ILibraryAppletAccessor', 0, 'GetAppletStateChangedEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletAccessor', 1, 'IsCompleted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ILibraryAppletAccessor', 10, 'Start', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletAccessor', 20, 'RequestExit', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletAccessor', 25, 'Terminate', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletAccessor', 30, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletAccessor', 50, 'SetOutOfFocusApplicationSuspendingEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::ILibraryAppletAccessor', 100, 'PushInData', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletAccessor', 101, 'PopOutData', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::ILibraryAppletAccessor', 102, 'PushExtraStorage', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletAccessor', 103, 'PushInteractiveInData', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletAccessor', 104, 'PopInteractiveOutData', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::ILibraryAppletAccessor', 105, 'GetPopOutDataEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletAccessor', 106, 'GetPopInteractiveOutDataEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletAccessor', 110, 'NeedsToExitProcess', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ILibraryAppletAccessor', 120, 'GetLibraryAppletInfo', '0 bytes in - 8 bytes out - OutRaw<8,4,0>', '(nn::sf::Out<nn::am::service::LibraryAppletInfo,void>)'),
('nn::am::service::ILibraryAppletAccessor', 150, 'RequestForAppletToGetForeground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletAccessor', 160, 'GetIndirectLayerConsumerHandle', '8 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>,nn::applet::AppletResourceUserId)'),
('nn::am::service::IStorage', 0, 'Open', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorageAccessor>,void>)'),
('nn::am::service::IStorage', 1, 'OpenTransferStorage', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ITransferStorageAccessor>,void>)'),
('nn::am::service::IStorageAccessor', 0, 'GetSize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::am::service::IStorageAccessor', 10, 'Write', '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x21,0>', '(long,nn::sf::InBuffer const&)'),
('nn::am::service::IStorageAccessor', 11, 'Read', '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x22,0>', '(long,nn::sf::OutBuffer const&)'),
('nn::am::service::ITransferStorageAccessor', 0, 'GetSize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::am::service::ITransferStorageAccessor', 1, 'GetHandle', '0 bytes in - 8 bytes out - OutHandle<0,1>, OutRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::Out<unsigned long,void>)'),
('nn::am::service::ILibraryAppletCreator', 0, 'CreateLibraryApplet', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletAccessor>,void>,unsigned int,unsigned int)'),
('nn::am::service::ILibraryAppletCreator', 1, 'TerminateAllLibraryApplets', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletCreator', 2, 'AreAnyLibraryAppletsLeft', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ILibraryAppletCreator', 10, 'CreateStorage', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>,long)'),
('nn::am::service::ILibraryAppletCreator', 11, 'CreateTransferMemoryStorage', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InHandle<0,1>, InRaw<8,8,8>, InRaw<1,1,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>,nn::sf::NativeHandle &&,long,bool)'),
('nn::am::service::ILibraryAppletCreator', 12, 'CreateHandleStorage', '8 bytes in - 0 bytes out - OutObject<0,0>, InHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>,nn::sf::NativeHandle &&,long)'),
('nn::am::service::IHomeMenuFunctions', 10, 'RequestToGetForeground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IHomeMenuFunctions', 11, 'LockForeground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IHomeMenuFunctions', 12, 'UnlockForeground', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IHomeMenuFunctions', 20, 'PopFromGeneralChannel', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::IHomeMenuFunctions', 21, 'GetPopFromGeneralChannelEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::IHomeMenuFunctions', 30, 'GetHomeButtonWriterLockAccessor', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILockAccessor>,void>)'),
('nn::am::service::IHomeMenuFunctions', 31, 'GetWriterLockAccessorEx', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILockAccessor>,void>,int)'),
('nn::am::service::IGlobalStateController', 0, 'RequestToEnterSleep', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 1, 'EnterSleep', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 2, 'StartSleepSequence', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::IGlobalStateController', 3, 'StartShutdownSequence', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 4, 'StartRebootSequence', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 10, 'LoadAndApplyIdlePolicySettings', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 11, 'NotifyCecSettingsChanged', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 12, 'SetDefaultHomeButtonLongPressTime', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(long)'),
('nn::am::service::IGlobalStateController', 13, 'UpdateDefaultDisplayResolution', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IGlobalStateController', 14, 'ShouldSleepOnBoot', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IApplicationCreator', 0, 'CreateApplication', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationAccessor>,void>,nn::ncm::ApplicationId)'),
('nn::am::service::IApplicationCreator', 1, 'PopLaunchRequestedApplication', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationAccessor>,void>)'),
('nn::am::service::IApplicationCreator', 10, 'CreateSystemApplication', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationAccessor>,void>,nn::ncm::SystemApplicationId)'),
('nn::am::service::IApplicationCreator', 100, 'PopFloatingApplicationForDevelopment', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationAccessor>,void>)'),
('nn::am::service::ILibraryAppletProxy', 0, 'GetCommonStateGetter', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ICommonStateGetter>,void>)'),
('nn::am::service::ILibraryAppletProxy', 1, 'GetSelfController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ISelfController>,void>)'),
('nn::am::service::ILibraryAppletProxy', 2, 'GetWindowController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IWindowController>,void>)'),
('nn::am::service::ILibraryAppletProxy', 3, 'GetAudioController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IAudioController>,void>)'),
('nn::am::service::ILibraryAppletProxy', 4, 'GetDisplayController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDisplayController>,void>)'),
('nn::am::service::ILibraryAppletProxy', 1000, 'GetDebugFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDebugFunctions>,void>)'),
('nn::am::service::ILibraryAppletProxy', 10, 'GetProcessWindingController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IProcessWindingController>,void>)'),
('nn::am::service::ILibraryAppletProxy', 11, 'GetLibraryAppletCreator', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletCreator>,void>)'),
('nn::am::service::ILibraryAppletProxy', 20, 'OpenLibraryAppletSelfAccessor', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletSelfAccessor>,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 0, 'PopInData', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 1, 'PushOutData', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 2, 'PopInteractiveInData', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 3, 'PushInteractiveOutData', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 5, 'GetPopInDataEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 6, 'GetPopInteractiveInDataEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 10, 'ExitProcessAndReturn', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::ILibraryAppletSelfAccessor', 11, 'GetLibraryAppletInfo', '0 bytes in - 8 bytes out - OutRaw<8,4,0>', '(nn::sf::Out<nn::am::service::LibraryAppletInfo,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 12, 'GetMainAppletIdentityInfo', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::am::service::AppletIdentityInfo,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 13, 'CanUseApplicationCore', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 14, 'GetCallerAppletIdentityInfo', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::am::service::AppletIdentityInfo,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 15, 'GetMainAppletApplicationControlProperty', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x4000>', '(nn::sf::Out<nn::ns::ApplicationControlProperty,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 16, 'GetMainAppletStorageId', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<nn::ncm::StorageId,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 17, 'GetCallerAppletIdentityInfoStack', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::am::service::AppletIdentityInfo> const&)'),
('nn::am::service::ILibraryAppletSelfAccessor', 20, 'PopExtraStorage', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 25, 'GetPopExtraStorageEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 30, 'UnpopInData', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 31, 'UnpopExtraStorage', '0 bytes in - 0 bytes out - InObject<0,0>', '(nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 40, 'GetIndirectLayerProducerHandle', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::am::service::ILibraryAppletSelfAccessor', 50, 'ReportVisibleError', '8 bytes in - 0 bytes out - InRaw<8,4,0>', '(nn::err::ErrorCode)'),
('nn::am::service::IOverlayAppletProxy', 0, 'GetCommonStateGetter', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ICommonStateGetter>,void>)'),
('nn::am::service::IOverlayAppletProxy', 1, 'GetSelfController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ISelfController>,void>)'),
('nn::am::service::IOverlayAppletProxy', 2, 'GetWindowController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IWindowController>,void>)'),
('nn::am::service::IOverlayAppletProxy', 3, 'GetAudioController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IAudioController>,void>)'),
('nn::am::service::IOverlayAppletProxy', 4, 'GetDisplayController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDisplayController>,void>)'),
('nn::am::service::IOverlayAppletProxy', 1000, 'GetDebugFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDebugFunctions>,void>)'),
('nn::am::service::IOverlayAppletProxy', 10, 'GetProcessWindingController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IProcessWindingController>,void>)'),
('nn::am::service::IOverlayAppletProxy', 11, 'GetLibraryAppletCreator', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletCreator>,void>)'),
('nn::am::service::IOverlayAppletProxy', 20, 'GetOverlayFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IOverlayFunctions>,void>)'),
('nn::am::service::IOverlayFunctions', 0, 'BeginToWatchShortHomeButtonMessage', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IOverlayFunctions', 1, 'EndToWatchShortHomeButtonMessage', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IOverlayFunctions', 2, 'GetApplicationIdForLogo', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::ncm::ApplicationId,void>)'),
('nn::am::service::IOverlayFunctions', 3, 'SetGpuTimeSliceBoost', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::am::service::IOverlayFunctions', 4, 'SetAutoSleepTimeAndDimmingTimeEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::IOverlayFunctions', 5, 'TerminateApplicationAndSetReason', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::am::service::IOverlayFunctions', 6, 'SetScreenShotPermissionGlobally', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::IApplicationProxy', 0, 'GetCommonStateGetter', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ICommonStateGetter>,void>)'),
('nn::am::service::IApplicationProxy', 1, 'GetSelfController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ISelfController>,void>)'),
('nn::am::service::IApplicationProxy', 2, 'GetWindowController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IWindowController>,void>)'),
('nn::am::service::IApplicationProxy', 3, 'GetAudioController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IAudioController>,void>)'),
('nn::am::service::IApplicationProxy', 4, 'GetDisplayController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDisplayController>,void>)'),
('nn::am::service::IApplicationProxy', 1000, 'GetDebugFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IDebugFunctions>,void>)'),
('nn::am::service::IApplicationProxy', 10, 'GetProcessWindingController', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IProcessWindingController>,void>)'),
('nn::am::service::IApplicationProxy', 11, 'GetLibraryAppletCreator', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::ILibraryAppletCreator>,void>)'),
('nn::am::service::IApplicationProxy', 20, 'GetApplicationFunctions', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationFunctions>,void>)'),
('nn::am::service::IApplicationFunctions', 1, 'PopLaunchParameter', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IStorage>,void>,unsigned int)'),
('nn::am::service::IApplicationFunctions', 10, 'CreateApplicationAndPushAndRequestToStart', '8 bytes in - 0 bytes out - InRaw<8,8,0>, InObject<0,0>', '(nn::ncm::ApplicationId,nn::sf::SharedPointer<nn::am::service::IStorage>)'),
('nn::am::service::IApplicationFunctions', 11, 'CreateApplicationAndPushAndRequestToStartForQuest', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::ncm::ApplicationId,nn::sf::SharedPointer<nn::am::service::IStorage>,unsigned int,unsigned int)'),
('nn::am::service::IApplicationFunctions', 20, 'EnsureSaveData', '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x10,8,0>', '(nn::sf::Out<long,void>,nn::account::Uid const&)'),
('nn::am::service::IApplicationFunctions', 21, 'GetDesiredLanguage', '0 bytes in - 8 bytes out - OutRaw<8,1,0>', '(nn::sf::Out<nn::settings::LanguageCode,void>)'),
('nn::am::service::IApplicationFunctions', 22, 'SetTerminateResult', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::am::service::IApplicationFunctions', 23, 'GetDisplayVersion', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::oe::DisplayVersion,void>)'),
('nn::am::service::IApplicationFunctions', 24, 'GetLaunchStorageInfoForDebug', '0 bytes in - 2 bytes out - OutRaw<1,1,0>, OutRaw<1,1,1>', '(nn::sf::Out<nn::ncm::StorageId,void>,nn::sf::Out<nn::ncm::StorageId,void>)'),
('nn::am::service::IApplicationFunctions', 25, 'ExtendSaveData', '0x28 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<1,1,0>, InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<8,8,0x20>', '(nn::sf::Out<long,void>,unsigned char,nn::account::Uid const&,long,long)'),
('nn::am::service::IApplicationFunctions', 26, 'GetSaveDataSize', '0x18 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<1,1,0>, InRaw<0x10,8,8>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,unsigned char,nn::account::Uid const&)'),
('nn::am::service::IApplicationFunctions', 30, 'BeginBlockingHomeButtonShortAndLongPressed', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(long)'),
('nn::am::service::IApplicationFunctions', 31, 'EndBlockingHomeButtonShortAndLongPressed', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationFunctions', 32, 'BeginBlockingHomeButton', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(long)'),
('nn::am::service::IApplicationFunctions', 33, 'EndBlockingHomeButton', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationFunctions', 40, 'NotifyRunning', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IApplicationFunctions', 50, 'GetPseudoDeviceId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::util::Uuid,void>)'),
('nn::am::service::IApplicationFunctions', 60, 'SetMediaPlaybackStateForApplication', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::am::service::IApplicationFunctions', 65, 'IsGamePlayRecordingSupported', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::am::service::IApplicationFunctions', 66, 'InitializeGamePlayRecording', '8 bytes in - 0 bytes out - InHandle<0,1>, InRaw<8,8,0>', '(nn::sf::NativeHandle &&,unsigned long)'),
('nn::am::service::IApplicationFunctions', 67, 'SetGamePlayRecordingState', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::am::service::IApplicationFunctions', 70, 'RequestToShutdown', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationFunctions', 71, 'RequestToReboot', '0 bytes in - 0 bytes out', '(void)'),
('nn::am::service::IApplicationProxyService', 0, 'OpenApplicationProxy', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>', '(nn::sf::Out<nn::sf::SharedPointer<nn::am::service::IApplicationProxy>,void>,unsigned long,nn::sf::NativeHandle &&)'),
('nn::apm::IManager', 0, 'OpenSession', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::apm::ISession>,void>)'),
('nn::apm::IManager', 1, 'GetPerformanceMode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::apm::PerformanceMode,void>)'),
('nn::apm::ISession', 0, 'SetPerformanceConfiguration', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(nn::apm::PerformanceMode,nn::apm::PerformanceConfiguration)'),
('nn::apm::ISession', 1, 'GetPerformanceConfiguration', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::apm::PerformanceConfiguration,void>,nn::apm::PerformanceMode)'),
('nn::apm::ISystemManager', 0, 'RequestPerformanceMode', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::apm::PerformanceMode)'),
('nn::apm::ISystemManager', 1, 'GetPerformanceEvent', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::apm::EventTarget)'),
('nn::apm::ISystemManager', 2, 'GetThrottlingState', '0 bytes in - 0x28 bytes out - OutRaw<0x28,8,0>', '(nn::sf::Out<nn::apm::ThrottlingState,void>)'),
('nn::apm::ISystemManager', 3, 'GetLastThrottlingState', '0 bytes in - 0x28 bytes out - OutRaw<0x28,8,0>', '(nn::sf::Out<nn::apm::ThrottlingState,void>)'),
('nn::apm::ISystemManager', 4, 'ClearLastThrottlingState', '0 bytes in - 0 bytes out', '(void)'),
('nn::apm::IManagerPrivileged', 0, 'OpenSession', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::apm::ISession>,void>)'),
('nn::bcat::detail::ipc::IServiceCreator', 0, 'CreateBcatService', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IBcatService>,void>,unsigned long)'),
('nn::bcat::detail::ipc::IServiceCreator', 1, 'CreateDeliveryCacheStorageService', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheStorageService>,void>,unsigned long)'),
('nn::bcat::detail::ipc::IServiceCreator', 2, 'CreateDeliveryCacheStorageServiceWithApplicationId', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheStorageService>,void>,nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 10100, 'RequestSyncDeliveryCache', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheProgressService>,void>)'),
('nn::bcat::detail::ipc::IBcatService', 20100, 'RequestSyncDeliveryCacheWithApplicationId', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheProgressService>,void>,nn::ApplicationId,unsigned int)'),
('nn::bcat::detail::ipc::IBcatService', 30100, 'SetPassphrase', '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,9,0>', '(nn::ApplicationId,nn::sf::InArray<char> const&)'),
('nn::bcat::detail::ipc::IBcatService', 30200, 'RegisterBackgroundDeliveryTask', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::ApplicationId,unsigned int)'),
('nn::bcat::detail::ipc::IBcatService', 30201, 'UnregisterBackgroundDeliveryTask', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 30202, 'BlockDeliveryTask', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 30203, 'UnblockDeliveryTask', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 90100, 'EnumerateBackgroundDeliveryTask', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::bcat::TaskInfo> const&)'),
('nn::bcat::detail::ipc::IBcatService', 90200, 'GetDeliveryList', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::OutBuffer const&,nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 90201, 'ClearDeliveryCacheStorage', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ApplicationId)'),
('nn::bcat::detail::ipc::IBcatService', 90300, 'GetPushNotificationLog', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::bcat::PushNotificationLog> const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheProgressService', 0, 'GetEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheProgressService', 1, 'GetImpl', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x200>', '(nn::sf::Out<nn::bcat::detail::DeliveryCacheProgressImpl,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 0, 'CreateFileService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheFileService>,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 1, 'CreateDirectoryService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::bcat::detail::ipc::IDeliveryCacheDirectoryService>,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 10, 'EnumerateDeliveryCacheDirectory', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::bcat::DirectoryName> const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 0, 'Open', '0x40 bytes in - 0 bytes out - InRaw<0x20,1,0>, InRaw<0x20,1,0x20>', '(nn::bcat::DirectoryName const&,nn::bcat::FileName const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 1, 'Read', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned long,void>,long,nn::sf::OutBuffer const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 2, 'GetSize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 3, 'GetDigest', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::bcat::Digest,void>)'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 0, 'Open', '0x20 bytes in - 0 bytes out - InRaw<0x20,1,0>', '(nn::bcat::DirectoryName const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 1, 'Read', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::bcat::DeliveryCacheDirectoryEntry> const&)'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 2, 'GetCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::codec::detail::IHardwareOpusDecoderManager', 0, '', '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,4,0>, InHandle<0,1>, InRaw<4,4,8>', ''),
('nn::codec::detail::IHardwareOpusDecoderManager', 1, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::codec::detail::IHardwareOpusDecoderManager', 2, '', '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x110>, InHandle<0,1>, InRaw<4,4,0>', ''),
('nn::codec::detail::IHardwareOpusDecoderManager', 3, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x19,0x110>', ''),
('nn::codec::detail::IHardwareOpusDecoder', 0, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,5,0>', ''),
('nn::codec::detail::IHardwareOpusDecoder', 1, '', '0 bytes in - 0 bytes out - Buffer<0,5,0>', ''),
('nn::codec::detail::IHardwareOpusDecoder', 2, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,5,0>', ''),
('nn::codec::detail::IHardwareOpusDecoder', 3, '', '0 bytes in - 0 bytes out - Buffer<0,5,0>', ''),
('nn::friends::detail::ipc::IServiceCreator', 0, 'CreateFriendService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::friends::detail::ipc::IFriendService>,void>)'),
('nn::friends::detail::ipc::IServiceCreator', 1, 'CreateNotificationService', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::friends::detail::ipc::INotificationService>,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 0, 'GetCompletionEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::friends::detail::ipc::IFriendService', 1, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::friends::detail::ipc::IFriendService', 10100, 'GetFriendListIds', '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<0x10,8,0x18>, InRaw<8,8,0x28>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::account::NetworkServiceAccountId> const&,nn::account::Uid const&,int,nn::friends::detail::ipc::SizedFriendFilter const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10101, 'GetFriendList', '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<0x10,8,0x18>, InRaw<8,8,0x28>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::FriendImpl> const&,nn::account::Uid const&,int,nn::friends::detail::ipc::SizedFriendFilter const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10102, 'UpdateFriendInfo', '0x18 bytes in - 0 bytes out - takes pid - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>, InRaw<8,8,0x10>', '(nn::sf::OutArray<nn::friends::detail::FriendImpl> const&,nn::account::Uid const&,nn::sf::InArray<nn::account::NetworkServiceAccountId> const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10110, 'GetFriendProfileImage', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::account::Uid const&,nn::account::NetworkServiceAccountId,nn::sf::OutBuffer const&)'),
('nn::friends::detail::ipc::IFriendService', 10200, 'SendFriendRequestForApplication', '0x20 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, InRaw<8,8,0x18>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,nn::friends::InAppScreenName const&,nn::friends::InAppScreenName const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10211, 'AddFacedFriendRequestForApplication', '0x80 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0x68>, InRaw<0x40,1,0>, InRaw<0x21,1,0x40>, Buffer<2,5,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, InRaw<8,8,0x78>', '(nn::account::Uid const&,nn::friends::FacedFriendRequestRegistrationKey const&,nn::account::Nickname const&,nn::sf::InBuffer const&,nn::friends::InAppScreenName const&,nn::friends::InAppScreenName const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10400, 'GetBlockedUserListIds', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::account::NetworkServiceAccountId> const&,nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 10500, 'GetProfileList', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>', '(nn::sf::OutArray<nn::friends::detail::ProfileImpl> const&,nn::account::Uid const&,nn::sf::InArray<nn::account::NetworkServiceAccountId> const&)'),
('nn::friends::detail::ipc::IFriendService', 10600, 'DeclareOpenOnlinePlaySession', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 10601, 'DeclareCloseOnlinePlaySession', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 10610, 'UpdateUserPresence', '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,0x19,0xE0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::detail::UserPresenceImpl const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 10700, 'GetPlayHistoryRegistrationKey', '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<0x10,8,8>, InRaw<1,1,0>', '(nn::sf::Out<nn::friends::PlayHistoryRegistrationKey,void>,nn::account::Uid const&,bool)'),
('nn::friends::detail::ipc::IFriendService', 10701, 'GetPlayHistoryRegistrationKeyWithNetworkServiceAccountId', '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,8,8>, InRaw<1,1,0>', '(nn::sf::Out<nn::friends::PlayHistoryRegistrationKey,void>,nn::account::NetworkServiceAccountId,bool)'),
('nn::friends::detail::ipc::IFriendService', 10702, 'AddPlayHistory', '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,0x19,0x40>, Buffer<1,0x19,0x48>, Buffer<2,0x19,0x48>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::PlayHistoryRegistrationKey const&,nn::friends::InAppScreenName const&,nn::friends::InAppScreenName const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 11000, 'GetProfileImageUrl', '0xA4 bytes in - 0xA0 bytes out - OutRaw<0xA0,1,0>, InRaw<0xA0,1,0>, InRaw<4,4,0xA0>', '(nn::sf::Out<nn::friends::Url,void>,nn::friends::Url const&,int)'),
('nn::friends::detail::ipc::IFriendService', 20100, 'GetFriendCount', '0x28 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<0x10,8,0x10>, InRaw<8,8,0x20>', '(nn::sf::Out<int,void>,nn::account::Uid const&,nn::friends::detail::ipc::SizedFriendFilter const&,unsigned long)'),
('nn::friends::detail::ipc::IFriendService', 20101, 'GetNewlyFriendCount', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>', '(nn::sf::Out<int,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20102, 'GetFriendDetailedInfo', '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x800>, InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::sf::Out<nn::friends::detail::FriendDetailedInfoImpl,void>,nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 20103, 'SyncFriendList', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20104, 'RequestSyncFriendList', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20110, 'LoadFriendSetting', '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::sf::Out<nn::friends::detail::FriendSettingImpl,void>,nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 20200, 'GetReceivedFriendRequestCount', '0x10 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x10,8,0>', '(nn::sf::Out<int,void>,nn::sf::Out<int,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20201, 'GetFriendRequestList', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::FriendRequestImpl> const&,nn::account::Uid const&,int,int)'),
('nn::friends::detail::ipc::IFriendService', 20300, 'GetFriendCandidateList', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::FriendCandidateImpl> const&,nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 20301, 'GetNintendoNetworkIdInfo', '0x18 bytes in - 4 bytes out - Buffer<0,0x1A,0x38>, OutRaw<4,4,0>, Buffer<1,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::sf::Out<nn::friends::NintendoNetworkIdUserInfo,void>,nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::NintendoNetworkIdFriendImpl> const&,nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 20400, 'GetBlockedUserList', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::BlockedUserImpl> const&,nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 20401, 'SyncBlockedUserList', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20500, 'GetProfileExtraList', '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>', '(nn::sf::OutArray<nn::friends::detail::ProfileExtraImpl> const&,nn::account::Uid const&,nn::sf::InArray<nn::account::NetworkServiceAccountId> const&)'),
('nn::friends::detail::ipc::IFriendService', 20501, 'GetRelationship', '0x18 bytes in - 8 bytes out - OutRaw<8,1,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::sf::Out<nn::friends::Relationship,void>,nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 20600, 'GetUserPresenceView', '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0xE0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::friends::detail::UserPresenceViewImpl,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20700, 'GetPlayHistoryList', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::friends::detail::PlayHistoryImpl> const&,nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 20701, 'GetPlayHistoryStatistics', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::friends::PlayHistoryStatistics,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20800, 'LoadUserSetting', '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x800>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::friends::detail::UserSettingImpl,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20801, 'SyncUserSetting', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 20900, 'RequestListSummaryOverlayNotification', '0 bytes in - 0 bytes out', '(void)'),
('nn::friends::detail::ipc::IFriendService', 21000, 'GetExternalApplicationCatalog', '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x4B8>, InRaw<0x10,8,8>, InRaw<8,1,0>', '(nn::sf::Out<nn::friends::ExternalApplicationCatalog,void>,nn::friends::ExternalApplicationCatalogId const&,nn::settings::LanguageCode)'),
('nn::friends::detail::ipc::IFriendService', 30100, 'DropFriendNewlyFlags', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 30101, 'DeleteFriend', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 30110, 'DropFriendNewlyFlag', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 30120, 'ChangeFriendFavoriteFlag', '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<1,1,0>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,bool)'),
('nn::friends::detail::ipc::IFriendService', 30121, 'ChangeFriendOnlineNotificationFlag', '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<1,1,0>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,bool)'),
('nn::friends::detail::ipc::IFriendService', 30200, 'SendFriendRequest', '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int)'),
('nn::friends::detail::ipc::IFriendService', 30201, 'SendFriendRequestWithApplicationInfo', '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int,nn::friends::ApplicationInfo const&,nn::friends::InAppScreenName const&,nn::friends::InAppScreenName const&)'),
('nn::friends::detail::ipc::IFriendService', 30202, 'CancelFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::RequestId)'),
('nn::friends::detail::ipc::IFriendService', 30203, 'AcceptFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::RequestId)'),
('nn::friends::detail::ipc::IFriendService', 30204, 'RejectFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::RequestId)'),
('nn::friends::detail::ipc::IFriendService', 30205, 'ReadFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::friends::RequestId)'),
('nn::friends::detail::ipc::IFriendService', 30210, 'GetFacedFriendRequestRegistrationKey', '0x10 bytes in - 0x40 bytes out - OutRaw<0x40,1,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::friends::FacedFriendRequestRegistrationKey,void>,nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 30211, 'AddFacedFriendRequest', '0x78 bytes in - 0 bytes out - InRaw<0x10,8,0x68>, InRaw<0x40,1,0>, InRaw<0x21,1,0x40>, Buffer<0,5,0>', '(nn::account::Uid const&,nn::friends::FacedFriendRequestRegistrationKey const&,nn::account::Nickname const&,nn::sf::InBuffer const&)'),
('nn::friends::detail::ipc::IFriendService', 30212, 'CancelFacedFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 30213, 'GetFacedFriendRequestProfileImage', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::account::Uid const&,nn::account::NetworkServiceAccountId,nn::sf::OutBuffer const&)'),
('nn::friends::detail::ipc::IFriendService', 30214, 'GetFacedFriendRequestProfileImageFromPath', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,9,0>, Buffer<1,6,0>', '(nn::sf::Out<int,void>,nn::sf::InArray<char> const&,nn::sf::OutBuffer const&)'),
('nn::friends::detail::ipc::IFriendService', 30215, 'SendFriendRequestWithExternalApplicationCatalogId', '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int,nn::friends::ExternalApplicationCatalogId const&,nn::friends::InAppScreenName const&,nn::friends::InAppScreenName const&)'),
('nn::friends::detail::ipc::IFriendService', 30216, 'ResendFacedFriendRequest', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 30217, 'SendFriendRequestWithNintendoNetworkIdInfo', '0x80 bytes in - 0 bytes out - InRaw<0x10,8,0x68>, InRaw<8,8,0x78>, InRaw<4,4,0x60>, InRaw<0x20,1,0>, InRaw<0x10,1,0x20>, InRaw<0x20,1,0x30>, InRaw<0x10,1,0x50>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int,nn::friends::MiiName const&,nn::friends::MiiImageUrlParam const&,nn::friends::MiiName const&,nn::friends::MiiImageUrlParam const&)'),
('nn::friends::detail::ipc::IFriendService', 30400, 'BlockUser', '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int)'),
('nn::friends::detail::ipc::IFriendService', 30401, 'BlockUserWithApplicationInfo', '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId,int,nn::friends::ApplicationInfo const&,nn::friends::InAppScreenName const&)'),
('nn::friends::detail::ipc::IFriendService', 30402, 'UnblockUser', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::account::NetworkServiceAccountId)'),
('nn::friends::detail::ipc::IFriendService', 30500, 'GetProfileExtraFromFriendCode', '0x30 bytes in - 0 bytes out - Buffer<0,0x1A,0x400>, InRaw<0x10,8,0x20>, InRaw<0x20,1,0>', '(nn::sf::Out<nn::friends::detail::ProfileExtraImpl,void>,nn::account::Uid const&,nn::friends::FriendCode const&)'),
('nn::friends::detail::ipc::IFriendService', 30700, 'DeletePlayHistory', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 30810, 'ChangePresencePermission', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 30811, 'ChangeFriendRequestReception', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<1,1,0>', '(nn::account::Uid const&,bool)'),
('nn::friends::detail::ipc::IFriendService', 30812, 'ChangePlayLogPermission', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<4,4,0>', '(nn::account::Uid const&,int)'),
('nn::friends::detail::ipc::IFriendService', 30820, 'IssueFriendCode', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 30830, 'ClearPlayLog', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::IFriendService', 49900, 'DeleteNetworkServiceAccountCache', '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>', '(nn::account::Uid const&)'),
('nn::friends::detail::ipc::INotificationService', 0, 'GetEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::friends::detail::ipc::INotificationService', 1, 'Clear', '0 bytes in - 0 bytes out', '(void)'),
('nn::friends::detail::ipc::INotificationService', 2, 'Pop', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::friends::detail::ipc::SizedNotificationInfo,void>)'),
('nn::tma::IHtcsManager', 0, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 1, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::IHtcsManager', 2, '', '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>', ''),
('nn::tma::IHtcsManager', 3, '', '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>', ''),
('nn::tma::IHtcsManager', 4, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 5, '', '4 bytes in - 0x4C bytes out - OutRaw<4,4,0x44>, OutRaw<4,4,0x48>, OutRaw<0x42,2,0>, InRaw<4,4,0>', ''),
('nn::tma::IHtcsManager', 6, '', '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 7, '', '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>, Buffer<0,5,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 9, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::tma::IHtcsManager', 10, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::tma::IHtcsManager', 11, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::tma::IHtcsManager', 12, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>', ''),
('nn::tma::IHtcsManager', 13, '', '1 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>, InRaw<1,1,0>', ''),
('nn::tma::IHtcsManager', 100, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::tma::IHtcsManager', 101, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::tma::ISocket', 0, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::tma::ISocket', 1, '', '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 2, '', '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 3, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 4, '', '0 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 5, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 6, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 7, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::ISocket', 9, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>', ''),
('nn::tma::ISocket', 10, '', '4 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 11, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::ISocket', 12, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 13, '', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<8,8,0x10>, InHandle<0,1>, InRaw<4,4,8>', ''),
('nn::tma::ISocket', 14, '', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 15, '', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, InHandle<0,1>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 16, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::tma::IHtcsManager', 0, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 1, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::IHtcsManager', 2, '', '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>', ''),
('nn::tma::IHtcsManager', 3, '', '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>', ''),
('nn::tma::IHtcsManager', 4, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 5, '', '4 bytes in - 0x4C bytes out - OutRaw<4,4,0x44>, OutRaw<4,4,0x48>, OutRaw<0x42,2,0>, InRaw<4,4,0>', ''),
('nn::tma::IHtcsManager', 6, '', '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 7, '', '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>, Buffer<0,5,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::IHtcsManager', 9, '', '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', ''),
('nn::tma::IHtcsManager', 10, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::tma::IHtcsManager', 11, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::tma::IHtcsManager', 12, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>', ''),
('nn::tma::IHtcsManager', 13, '', '1 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>, InRaw<1,1,0>', ''),
('nn::tma::IHtcsManager', 100, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::tma::IHtcsManager', 101, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::tma::ISocket', 0, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::tma::ISocket', 1, '', '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 2, '', '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 3, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 4, '', '0 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>', ''),
('nn::tma::ISocket', 5, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 6, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 7, '', '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 8, '', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::ISocket', 9, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>', ''),
('nn::tma::ISocket', 10, '', '4 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 11, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::tma::ISocket', 12, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 13, '', '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<8,8,0x10>, InHandle<0,1>, InRaw<4,4,8>', ''),
('nn::tma::ISocket', 14, '', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 15, '', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, InHandle<0,1>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::tma::ISocket', 16, '', '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::lm::ILogService', 0, '', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', ''),
('nn::lm::ILogger', 0, '', '0 bytes in - 0 bytes out - Buffer<0,0x21,0>', ''),
('nn::lm::ILogger', 1, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::nfc::detail::ISystemManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfc::detail::ISystem', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfc::detail::ISystem', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfc::detail::ISystem', 2, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfc::detail::ISystem', 3, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::nfc::detail::ISystem', 100, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::nfc::detail::IUserManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfc::detail::IUser', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfc::detail::IUser', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfc::detail::IUser', 2, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfc::detail::IUser', 3, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::nfc::mifare::detail::IUserManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfc::mifare::detail::IUser', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfc::mifare::detail::IUser', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfc::mifare::detail::IUser', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 3, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 4, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 5, '', '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,4,0>, Buffer<1,5,0>', ''),
('nn::nfc::mifare::detail::IUser', 6, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>', ''),
('nn::nfc::mifare::detail::IUser', 7, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 8, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 9, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 10, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 11, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 12, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfc::mifare::detail::IUser', 13, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::nfp::detail::IDebugManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfp::detail::IDebug', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfp::detail::IDebug', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>', ''),
('nn::nfp::detail::IDebug', 3, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 4, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 5, '', '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>', ''),
('nn::nfp::detail::IDebug', 6, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 7, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>', ''),
('nn::nfp::detail::IDebug', 8, '', '8 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 9, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 10, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 11, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 12, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 13, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 14, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 15, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 16, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 17, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 18, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 19, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfp::detail::IDebug', 20, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 21, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 22, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 23, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::nfp::detail::IDebug', 24, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 100, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 101, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 102, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 103, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x100>', ''),
('nn::nfp::detail::IDebug', 104, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 105, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 106, '', '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 200, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x298>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 201, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x298>', ''),
('nn::nfp::detail::IDebug', 202, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 203, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>', ''),
('nn::nfp::detail::IDebug', 204, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::nfp::detail::IDebug', 205, '', '0 bytes in - 0 bytes out - Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 206, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>, InRaw<4,4,8>', ''),
('nn::nfp::detail::IDebug', 300, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IDebug', 301, '', '0 bytes in - 0 bytes out', ''),
('nn::nfp::detail::IDebug', 302, '', '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>', ''),
('nn::nfp::detail::IDebug', 303, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>', ''),
('nn::nfp::detail::IDebug', 304, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 305, '', '0x10 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>, Buffer<1,5,0>, InRaw<8,8,8>', ''),
('nn::nfp::detail::IDebug', 306, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 307, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 308, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 309, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfp::detail::IDebug', 310, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 311, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 312, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 313, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IDebug', 314, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::nfp::detail::ISystemManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfp::detail::ISystem', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::ISystem', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfp::detail::ISystem', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>', ''),
('nn::nfp::detail::ISystem', 3, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 4, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 5, '', '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>', ''),
('nn::nfp::detail::ISystem', 6, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 10, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 11, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 13, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 14, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 15, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 16, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 17, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 18, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 19, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfp::detail::ISystem', 20, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 21, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 23, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::nfp::detail::ISystem', 100, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 101, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 102, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 103, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x100>', ''),
('nn::nfp::detail::ISystem', 104, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 105, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::ISystem', 106, '', '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUserManager', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::nfp::detail::IUser', 0, '', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IUser', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::nfp::detail::IUser', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>', ''),
('nn::nfp::detail::IUser', 3, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 4, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 5, '', '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>', ''),
('nn::nfp::detail::IUser', 6, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 7, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>', ''),
('nn::nfp::detail::IUser', 8, '', '8 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 9, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IUser', 10, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 11, '', '8 bytes in - 0 bytes out - InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 12, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>', ''),
('nn::nfp::detail::IUser', 13, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 14, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 15, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 16, '', '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 17, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 18, '', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 19, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::nfp::detail::IUser', 20, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 21, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 22, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>', ''),
('nn::nfp::detail::IUser', 23, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::nfp::detail::IUser', 24, '', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>', ''),
('nn::nifm::detail::IStaticService', 4, 'CreateGeneralServiceOld', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::nifm::detail::IGeneralService>,void>)'),
('nn::nifm::detail::IStaticService', 5, 'CreateGeneralService', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::nifm::detail::IGeneralService>,void>,unsigned long)'),
('nn::nifm::detail::IGeneralService', 1, 'GetClientId', '0 bytes in - 0 bytes out - Buffer<0,0x1A,4>', '(nn::sf::Out<nn::nifm::ClientId,void>)'),
('nn::nifm::detail::IGeneralService', 2, 'CreateScanRequest', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::nifm::detail::IScanRequest>,void>)'),
('nn::nifm::detail::IGeneralService', 4, 'CreateRequest', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::nifm::detail::IRequest>,void>,int)'),
('nn::nifm::detail::IGeneralService', 5, 'GetCurrentNetworkProfile', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x17C>', '(nn::sf::Out<nn::nifm::detail::sf::NetworkProfileData,void>)'),
('nn::nifm::detail::IGeneralService', 6, 'EnumerateNetworkInterfaces', '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::OutArray<nn::nifm::detail::sf::NetworkInterfaceInfo> const&,nn::sf::Out<int,void>,unsigned int)'),
('nn::nifm::detail::IGeneralService', 7, 'EnumerateNetworkProfiles', '1 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<1,1,0>', '(nn::sf::OutArray<nn::nifm::detail::sf::NetworkProfileBasicInfo> const&,nn::sf::Out<int,void>,unsigned char)'),
('nn::nifm::detail::IGeneralService', 8, 'GetNetworkProfile', '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x17C>, InRaw<0x10,1,0>', '(nn::sf::Out<nn::nifm::detail::sf::NetworkProfileData,void>,nn::util::Uuid const&)'),
('nn::nifm::detail::IGeneralService', 9, 'SetNetworkProfile', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, Buffer<0,0x19,0x17C>', '(nn::sf::Out<nn::util::Uuid,void>,nn::nifm::detail::sf::NetworkProfileData const&)'),
('nn::nifm::detail::IGeneralService', 10, 'RemoveNetworkProfile', '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>', '(nn::util::Uuid const&)'),
('nn::nifm::detail::IGeneralService', 11, 'GetScanData', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', '(nn::sf::OutArray<nn::nifm::detail::sf::AccessPointData> const&,nn::sf::Out<int,void>)'),
('nn::nifm::detail::IGeneralService', 12, 'GetCurrentIpAddress', '0 bytes in - 4 bytes out - OutRaw<4,1,0>', '(nn::sf::Out<nn::nifm::IpV4Address,void>)'),
('nn::nifm::detail::IGeneralService', 13, 'GetCurrentAccessPoint', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x34>', '(nn::sf::Out<nn::nifm::detail::sf::AccessPointData,void>)'),
('nn::nifm::detail::IGeneralService', 14, 'CreateTemporaryNetworkProfile', '0 bytes in - 0x10 bytes out - OutObject<0,0>, OutRaw<0x10,1,0>, Buffer<0,0x19,0x17C>', '(nn::sf::Out<nn::sf::SharedPointer<nn::nifm::detail::INetworkProfile>,void>,nn::sf::Out<nn::util::Uuid,void>,nn::nifm::detail::sf::NetworkProfileData const&)'),
('nn::nifm::detail::IGeneralService', 15, 'GetCurrentIpConfigInfo', '0 bytes in - 0x16 bytes out - OutRaw<0xD,1,0>, OutRaw<9,1,0xD>', '(nn::sf::Out<nn::nifm::IpAddressSetting,void>,nn::sf::Out<nn::nifm::DnsSetting,void>)'),
('nn::nifm::detail::IGeneralService', 16, 'SetWirelessCommunicationEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IGeneralService', 17, 'IsWirelessCommunicationEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::nifm::detail::IGeneralService', 18, 'GetInternetConnectionStatus', '0 bytes in - 3 bytes out - OutRaw<3,1,0>', '(nn::sf::Out<nn::nifm::detail::sf::InternetConnectionStatus,void>)'),
('nn::nifm::detail::IGeneralService', 19, 'SetEthernetCommunicationEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IGeneralService', 20, 'IsEthernetCommunicationEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::nifm::detail::IGeneralService', 21, 'IsAnyInternetRequestAccepted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>, Buffer<0,0x19,4>', '(nn::sf::Out<bool,void>,nn::nifm::ClientId)'),
('nn::nifm::detail::IGeneralService', 22, 'IsAnyForegroundRequestAccepted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::nifm::detail::IGeneralService', 23, 'PutToSleep', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IGeneralService', 24, 'WakeUp', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IGeneralService', 25, 'GetSsidListVersion', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::nifm::SsidListVersion,void>)'),
('nn::nifm::detail::IGeneralService', 26, 'SetExclusiveClient', '0 bytes in - 0 bytes out - Buffer<0,0x19,4>', '(nn::nifm::ClientId)'),
('nn::nifm::detail::IGeneralService', 27, 'GetDefaultIpSetting', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0xC2>', '(nn::sf::Out<nn::nifm::IpSettingData,void>)'),
('nn::nifm::detail::IGeneralService', 28, 'SetDefaultIpSetting', '0 bytes in - 0 bytes out - Buffer<0,0x19,0xC2>', '(nn::nifm::IpSettingData const&)'),
('nn::nifm::detail::IGeneralService', 29, 'SetWirelessCommunicationEnabledForTest', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IGeneralService', 30, 'SetEthernetCommunicationEnabledForTest', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IGeneralService', 31, 'GetTelemetorySystemEventReadableHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::nifm::detail::IGeneralService', 32, 'GetTelemetryInfo', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x20C>', '(nn::sf::Out<nn::nifm::TelemetryInfo,void>)'),
('nn::nifm::detail::IGeneralService', 33, 'ConfirmSystemAvailability', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IScanRequest', 0, 'Submit', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IScanRequest', 1, 'IsProcessing', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::nifm::detail::IScanRequest', 2, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IScanRequest', 3, 'GetSystemEventReadableHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::nifm::detail::IRequest', 0, 'GetRequestState', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::nifm::detail::IRequest', 1, 'GetResult', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IRequest', 2, 'GetSystemEventReadableHandles', '0 bytes in - 0 bytes out - OutHandle<0,1>, OutHandle<1,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::nifm::detail::IRequest', 3, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IRequest', 4, 'Submit', '0 bytes in - 0 bytes out', '(void)'),
('nn::nifm::detail::IRequest', 5, 'SetRequirement', '0x24 bytes in - 0 bytes out - InRaw<0x24,4,0>', '(nn::nifm::Requirement const&)'),
('nn::nifm::detail::IRequest', 6, 'SetRequirementPreset', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::nifm::detail::IRequest', 8, 'SetPriority', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(unsigned char)'),
('nn::nifm::detail::IRequest', 9, 'SetNetworkProfileId', '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>', '(nn::util::Uuid const&)'),
('nn::nifm::detail::IRequest', 10, 'SetRejectable', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 11, 'SetConnectionConfirmationOption', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(signed char)'),
('nn::nifm::detail::IRequest', 12, 'SetPersistent', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 13, 'SetInstant', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 14, 'SetSustainable', '2 bytes in - 0 bytes out - InRaw<1,1,0>, InRaw<1,1,1>', '(bool,unsigned char)'),
('nn::nifm::detail::IRequest', 15, 'SetRawPriority', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(unsigned char)'),
('nn::nifm::detail::IRequest', 16, 'SetGreedy', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 17, 'SetSharable', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 18, 'SetRequirementByRevision', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::nifm::detail::IRequest', 19, 'GetRequirement', '0 bytes in - 0x24 bytes out - OutRaw<0x24,4,0>', '(nn::sf::Out<nn::nifm::Requirement,void>)'),
('nn::nifm::detail::IRequest', 20, 'GetRevision', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::nifm::detail::IRequest', 21, 'GetAppletInfo', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,unsigned int)'),
('nn::nifm::detail::IRequest', 22, 'GetAdditionalInfo', '0 bytes in - 4 bytes out - Buffer<0,0x16,0x410>, OutRaw<4,4,0>', '(nn::sf::Out<nn::nifm::AdditionalInfo,void>,nn::sf::Out<unsigned int,void>)'),
('nn::nifm::detail::IRequest', 23, 'SetKeptInSleep', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::nifm::detail::IRequest', 24, 'RegisterSocketDescriptor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::nifm::detail::IRequest', 25, 'UnregisterSocketDescriptor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::nifm::detail::INetworkProfile', 0, 'Update', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, Buffer<0,0x19,0x17C>', '(nn::sf::Out<nn::util::Uuid,void>,nn::nifm::detail::sf::NetworkProfileData const&)'),
('nn::nifm::detail::INetworkProfile', 1, 'PersistOld', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<0x10,1,0>', '(nn::sf::Out<nn::util::Uuid,void>,nn::util::Uuid const&)'),
('nn::nifm::detail::INetworkProfile', 2, 'Persist', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::util::Uuid,void>)'),
('nn::nsd::detail::IManager', 10, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x100>', ''),
('nn::nsd::detail::IManager', 11, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,8>', ''),
('nn::nsd::detail::IManager', 12, '', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', ''),
('nn::nsd::detail::IManager', 13, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::nsd::detail::IManager', 14, '', '4 bytes in - 0 bytes out - Buffer<0,5,0>, Buffer<1,6,0>, InRaw<4,4,0>', ''),
('nn::nsd::detail::IManager', 20, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x100>, Buffer<1,0x15,0x100>', ''),
('nn::nsd::detail::IManager', 21, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x16,0x100>, Buffer<1,0x15,0x100>', ''),
('nn::nsd::detail::IManager', 30, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x108>, Buffer<1,0x15,0x10>', ''),
('nn::nsd::detail::IManager', 31, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x16,0x108>, Buffer<1,0x15,0x10>', ''),
('nn::nsd::detail::IManager', 40, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x100>', ''),
('nn::nsd::detail::IManager', 41, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x16,0x100>', ''),
('nn::nsd::detail::IManager', 42, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x100>', ''),
('nn::nsd::detail::IManager', 43, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x16,0x100>', ''),
('nn::nsd::detail::IManager', 50, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x12BF0>', ''),
('nn::nsd::detail::IManager', 60, '', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x12BF0>', ''),
('nn::nsd::detail::IManager', 61, '', '0 bytes in - 0 bytes out - Buffer<0,0x15,0x12BF0>', ''),
('nn::nsd::detail::IManager', 62, '', '0 bytes in - 0 bytes out', ''),
('nn::pctl::detail::ipc::IParentalControlServiceFactory', 0, 'CreateService', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::pctl::detail::ipc::IParentalControlService>,void>,unsigned long)'),
('nn::pctl::detail::ipc::IParentalControlService', 1001, 'CheckFreeCommunicationPermission', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1002, 'ConfirmLaunchApplicationPermission', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, Buffer<0,9,0>, InRaw<1,1,0>', '(nn::ncm::ApplicationId,nn::sf::InArray<signed char> const&,bool)'),
('nn::pctl::detail::ipc::IParentalControlService', 1003, 'ConfirmResumeApplicationPermission', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, Buffer<0,9,0>, InRaw<1,1,0>', '(nn::ncm::ApplicationId,nn::sf::InArray<signed char> const&,bool)'),
('nn::pctl::detail::ipc::IParentalControlService', 1004, 'ConfirmSnsPostPermission', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1005, 'ConfirmSystemSettingsPermission', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1006, 'IsRestrictionTemporaryUnlocked', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1007, 'RevertRestrictionTemporaryUnlocked', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1008, 'EnterRestrictedSystemSettings', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1009, 'LeaveRestrictedSystemSettings', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1010, 'IsRestrictedSystemSettingsEntered', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1011, 'RevertRestrictedSystemSettingsEntered', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1012, 'GetRestrictedFeatures', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1031, 'IsRestrictionEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1032, 'GetSafetyLevel', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1033, 'SetSafetyLevel', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::pctl::detail::ipc::IParentalControlService', 1034, 'GetSafetyLevelSettings', '4 bytes in - 3 bytes out - OutRaw<3,1,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::pctl::SafetyLevelSettings,void>,int)'),
('nn::pctl::detail::ipc::IParentalControlService', 1035, 'GetCurrentSettings', '0 bytes in - 3 bytes out - OutRaw<3,1,0>', '(nn::sf::Out<nn::pctl::SafetyLevelSettings,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1036, 'SetCustomSafetyLevelSettings', '3 bytes in - 0 bytes out - InRaw<3,1,0>', '(nn::pctl::SafetyLevelSettings)'),
('nn::pctl::detail::ipc::IParentalControlService', 1037, 'GetDefaultRatingOrganization', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1038, 'SetDefaultRatingOrganization', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::pctl::detail::ipc::IParentalControlService', 1039, 'GetFreeCommunicationApplicationListCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1042, 'AddToFreeCommunicationApplicationList', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ncm::ApplicationId)'),
('nn::pctl::detail::ipc::IParentalControlService', 1043, 'DeleteSettings', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1044, 'GetFreeCommunicationApplicationList', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::pctl::FreeCommunicationApplicationInfo> const&,int)'),
('nn::pctl::detail::ipc::IParentalControlService', 1045, 'UpdateFreeCommunicationApplicationList', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::pctl::FreeCommunicationApplicationInfo> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1046, 'DisableFeaturesForReset', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1047, 'NotifyApplicationDownloadStarted', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ncm::ApplicationId)'),
('nn::pctl::detail::ipc::IParentalControlService', 1201, 'UnlockRestrictionTemporarily', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1202, 'UnlockSystemSettingsRestriction', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1203, 'SetPinCode', '0 bytes in - 0 bytes out - Buffer<0,9,0>', '(nn::sf::InArray<char> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1204, 'GenerateInquiryCode', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', '(nn::sf::Out<nn::pctl::InquiryCode,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1205, 'CheckMasterKey', '0x20 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<0x20,1,0>, Buffer<0,9,0>', '(nn::sf::Out<bool,void>,nn::pctl::InquiryCode const&,nn::sf::InArray<char> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1206, 'GetPinCodeLength', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1207, 'GetPinCodeChangedEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1403, 'IsPairingActive', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1406, 'GetSettingsLastUpdated', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::time::PosixTime,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1411, 'GetPairingAccountInfo', '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::pctl::detail::PairingAccountInfoBase,void>,nn::pctl::detail::PairingInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1421, 'GetAccountNickname', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<0x10,8,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutArray<char> const&,nn::pctl::detail::PairingAccountInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1424, 'GetAccountState', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>', '(nn::sf::Out<int,void>,nn::pctl::detail::PairingAccountInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1432, 'GetSynchronizationEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1451, 'StartPlayTimer', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1452, 'StopPlayTimer', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1453, 'IsPlayTimerEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1454, 'GetPlayTimerRemainingTime', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::TimeSpanType,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1455, 'IsRestrictedByPlayTimer', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1456, 'GetPlayTimerSettings', '0 bytes in - 0x34 bytes out - OutRaw<0x34,2,0>', '(nn::sf::Out<nn::pctl::PlayTimerSettings,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1457, 'GetPlayTimerEventToRequestSuspension', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1471, 'NotifyWrongPinCodeInputManyTimes', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1472, 'CancelNetworkRequest', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1473, 'GetUnlinkedEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1474, 'ClearUnlinkedEvent', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1601, 'DisableAllFeatures', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1602, 'PostEnableAllFeatures', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1603, 'IsAllFeaturesDisabled', '0 bytes in - 2 bytes out - OutRaw<1,1,0>, OutRaw<1,1,1>', '(nn::sf::Out<bool,void>,nn::sf::Out<bool,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 1901, 'DeleteFromFreeCommunicationApplicationListForDebug', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ncm::ApplicationId)'),
('nn::pctl::detail::ipc::IParentalControlService', 1902, 'ClearFreeCommunicationApplicationListForDebug', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1941, 'DeletePairing', '0 bytes in - 0 bytes out', '(void)'),
('nn::pctl::detail::ipc::IParentalControlService', 1951, 'SetPlayTimerSettingsForDebug', '0x34 bytes in - 0 bytes out - InRaw<0x34,2,0>', '(nn::pctl::PlayTimerSettings const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 1952, 'GetPlayTimerSpentTimeForTest', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::TimeSpanType,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 2001, 'RequestPairingAsync', '0 bytes in - 8 bytes out - OutRaw<8,4,0>, OutHandle<0,1>, Buffer<0,9,0>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::InArray<char> const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 2002, 'FinishRequestPairing', '8 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<8,4,0>', '(nn::sf::Out<nn::pctl::detail::PairingInfoBase,void>,nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2003, 'AuthorizePairingAsync', '0x10 bytes in - 8 bytes out - OutRaw<8,4,0>, OutHandle<0,1>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>,nn::pctl::detail::PairingInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 2004, 'FinishAuthorizePairing', '8 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<8,4,0>', '(nn::sf::Out<nn::pctl::detail::PairingInfoBase,void>,nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2005, 'RetrievePairingInfoAsync', '0 bytes in - 8 bytes out - OutRaw<8,4,0>, OutHandle<0,1>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 2006, 'FinishRetrievePairingInfo', '8 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<8,4,0>', '(nn::sf::Out<nn::pctl::detail::PairingInfoBase,void>,nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2007, 'UnlinkPairingAsync', '1 bytes in - 8 bytes out - OutRaw<8,4,0>, OutHandle<0,1>, InRaw<1,1,0>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>,bool)'),
('nn::pctl::detail::ipc::IParentalControlService', 2008, 'FinishUnlinkPairing', '0xC bytes in - 0 bytes out - InRaw<8,4,4>, InRaw<1,1,0>', '(nn::pctl::detail::AsyncData,bool)'),
('nn::pctl::detail::ipc::IParentalControlService', 2009, 'GetAccountMiiImageAsync', '0x10 bytes in - 0xC bytes out - OutRaw<8,4,0>, OutHandle<0,1>, OutRaw<4,4,8>, Buffer<0,6,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,nn::pctl::detail::PairingAccountInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 2010, 'FinishGetAccountMiiImage', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<8,4,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&,nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2011, 'GetAccountMiiImageContentTypeAsync', '0x10 bytes in - 0xC bytes out - OutRaw<8,4,0>, OutHandle<0,1>, OutRaw<4,4,8>, Buffer<0,0xA,0>, InRaw<0x10,8,0>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::Out<unsigned int,void>,nn::sf::OutArray<char> const&,nn::pctl::detail::PairingAccountInfoBase const&)'),
('nn::pctl::detail::ipc::IParentalControlService', 2012, 'FinishGetAccountMiiImageContentType', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<8,4,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutArray<char> const&,nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2013, 'SynchronizeParentalControlSettingsAsync', '0 bytes in - 8 bytes out - OutRaw<8,4,0>, OutHandle<0,1>', '(nn::sf::Out<nn::pctl::detail::AsyncData,void>,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pctl::detail::ipc::IParentalControlService', 2014, 'FinishSynchronizeParentalControlSettings', '8 bytes in - 0 bytes out - InRaw<8,4,0>', '(nn::pctl::detail::AsyncData)'),
('nn::pctl::detail::ipc::IParentalControlService', 2015, 'FinishSynchronizeParentalControlSettingsWithLastUpdated', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,4,0>', '(nn::sf::Out<nn::time::PosixTime,void>,nn::pctl::detail::AsyncData)'),
('nn::prepo::detail::ipc::IPrepoService', 10100, 'SaveReport', '8 bytes in - 0 bytes out - takes pid - Buffer<0,9,0>, Buffer<1,5,0>, InRaw<8,8,0>', '(nn::sf::InArray<char> const&,nn::sf::InBuffer const&,unsigned long)'),
('nn::prepo::detail::ipc::IPrepoService', 10101, 'SaveReportWithUser', '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,9,0>, Buffer<1,5,0>, InRaw<8,8,0x10>', '(nn::account::Uid const&,nn::sf::InArray<char> const&,nn::sf::InBuffer const&,unsigned long)'),
('nn::prepo::detail::ipc::IPrepoService', 10200, 'RequestImmediateTransmission', '0 bytes in - 0 bytes out', '(void)'),
('nn::prepo::detail::ipc::IPrepoService', 10300, 'GetTransmissionStatus', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::prepo::detail::ipc::IPrepoService', 20100, 'SaveSystemReport', '8 bytes in - 0 bytes out - Buffer<0,9,0>, InRaw<8,8,0>, Buffer<1,5,0>', '(nn::sf::InArray<char> const&,nn::ApplicationId,nn::sf::InBuffer const&)'),
('nn::prepo::detail::ipc::IPrepoService', 20101, 'SaveSystemReportWithUser', '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, Buffer<0,9,0>, InRaw<8,8,0x10>, Buffer<1,5,0>', '(nn::account::Uid const&,nn::sf::InArray<char> const&,nn::ApplicationId,nn::sf::InBuffer const&)'),
('nn::prepo::detail::ipc::IPrepoService', 30100, 'ClearStorage', '0 bytes in - 0 bytes out', '(void)'),
('nn::prepo::detail::ipc::IPrepoService', 40100, 'IsUserAgreementCheckEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::prepo::detail::ipc::IPrepoService', 40101, 'SetUserAgreementCheckEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::prepo::detail::ipc::IPrepoService', 90100, 'GetStorageUsage', '0 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>)'),
('nn::settings::IFactorySettingsServer', 0, 'GetBluetoothBdAddress', '0 bytes in - 6 bytes out - OutRaw<6,1,0>', '(nn::sf::Out<nn::settings::factory::BdAddress,void>)'),
('nn::settings::IFactorySettingsServer', 1, 'GetConfigurationId1', '0 bytes in - 0x1E bytes out - OutRaw<0x1E,1,0>', '(nn::sf::Out<nn::settings::factory::ConfigurationId1,void>)'),
('nn::settings::IFactorySettingsServer', 2, 'GetAccelerometerOffset', '0 bytes in - 6 bytes out - OutRaw<6,2,0>', '(nn::sf::Out<nn::settings::factory::AccelerometerOffset,void>)'),
('nn::settings::IFactorySettingsServer', 3, 'GetAccelerometerScale', '0 bytes in - 6 bytes out - OutRaw<6,2,0>', '(nn::sf::Out<nn::settings::factory::AccelerometerScale,void>)'),
('nn::settings::IFactorySettingsServer', 4, 'GetGyroscopeOffset', '0 bytes in - 6 bytes out - OutRaw<6,2,0>', '(nn::sf::Out<nn::settings::factory::GyroscopeOffset,void>)'),
('nn::settings::IFactorySettingsServer', 5, 'GetGyroscopeScale', '0 bytes in - 6 bytes out - OutRaw<6,2,0>', '(nn::sf::Out<nn::settings::factory::GyroscopeScale,void>)'),
('nn::settings::IFactorySettingsServer', 6, 'GetWirelessLanMacAddress', '0 bytes in - 6 bytes out - OutRaw<6,1,0>', '(nn::sf::Out<nn::settings::factory::MacAddress,void>)'),
('nn::settings::IFactorySettingsServer', 7, 'GetWirelessLanCountryCodeCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::IFactorySettingsServer', 8, 'GetWirelessLanCountryCodes', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::factory::CountryCode> const&)'),
('nn::settings::IFactorySettingsServer', 9, 'GetSerialNumber', '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>', '(nn::sf::Out<nn::settings::factory::SerialNumber,void>)'),
('nn::settings::IFactorySettingsServer', 10, 'SetInitialSystemAppletProgramId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ncm::ProgramId)'),
('nn::settings::IFactorySettingsServer', 11, 'SetOverlayDispProgramId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::ncm::ProgramId)'),
('nn::settings::IFactorySettingsServer', 12, 'GetBatteryLot', '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>', '(nn::sf::Out<nn::settings::factory::BatteryLot,void>)'),
('nn::settings::IFactorySettingsServer', 14, 'GetEciDeviceCertificate', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x180>', '(nn::sf::Out<nn::settings::factory::EccB233DeviceCertificate,void>)'),
('nn::settings::IFactorySettingsServer', 15, 'GetEticketDeviceCertificate', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x240>', '(nn::sf::Out<nn::settings::factory::Rsa2048DeviceCertificate,void>)'),
('nn::settings::IFactorySettingsServer', 16, 'GetSslKey', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x134>', '(nn::sf::Out<nn::settings::factory::SslKey,void>)'),
('nn::settings::IFactorySettingsServer', 17, 'GetSslCertificate', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x804>', '(nn::sf::Out<nn::settings::factory::SslCertificate,void>)'),
('nn::settings::IFactorySettingsServer', 18, 'GetGameCardKey', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x134>', '(nn::sf::Out<nn::settings::factory::GameCardKey,void>)'),
('nn::settings::IFactorySettingsServer', 19, 'GetGameCardCertificate', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x400>', '(nn::sf::Out<nn::settings::factory::GameCardCertificate,void>)'),
('nn::settings::IFactorySettingsServer', 20, 'GetEciDeviceKey', '0 bytes in - 0x54 bytes out - OutRaw<0x54,4,0>', '(nn::sf::Out<nn::settings::factory::EccB233DeviceKey,void>)'),
('nn::settings::IFactorySettingsServer', 21, 'GetEticketDeviceKey', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x244>', '(nn::sf::Out<nn::settings::factory::Rsa2048DeviceKey,void>)'),
('nn::settings::IFactorySettingsServer', 22, 'GetSpeakerParameter', '0 bytes in - 0x5A bytes out - OutRaw<0x5A,2,0>', '(nn::sf::Out<nn::settings::factory::SpeakerParameter,void>)'),
('nn::settings::IFirmwareDebugSettingsServer', 2, 'SetSettingsItemValue', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, Buffer<2,5,0>', '(nn::settings::SettingsName const&,nn::settings::SettingsItemKey const&,nn::sf::InBuffer const&)'),
('nn::settings::IFirmwareDebugSettingsServer', 3, 'ResetSettingsItemValue', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>', '(nn::settings::SettingsName const&,nn::settings::SettingsItemKey const&)'),
('nn::settings::IFirmwareDebugSettingsServer', 4, 'CreateSettingsItemKeyIterator', '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x48>', '(nn::sf::Out<nn::sf::SharedPointer<nn::settings::ISettingsItemKeyIterator>,void>,nn::settings::SettingsName const&)'),
('nn::settings::ISettingsItemKeyIterator', 0, 'GoNext', '0 bytes in - 0 bytes out', '(void)'),
('nn::settings::ISettingsItemKeyIterator', 1, 'GetKeySize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::settings::ISettingsItemKeyIterator', 2, 'GetKey', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::OutBuffer const&)'),
('nn::settings::ISettingsServer', 0, 'GetLanguageCode', '0 bytes in - 8 bytes out - OutRaw<8,1,0>', '(nn::sf::Out<nn::settings::LanguageCode,void>)'),
('nn::settings::ISettingsServer', 1, 'GetAvailableLanguageCodes', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::LanguageCode> const&)'),
('nn::settings::ISettingsServer', 3, 'GetAvailableLanguageCodeCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISettingsServer', 4, 'GetRegionCode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 0, 'SetLanguageCode', '8 bytes in - 0 bytes out - InRaw<8,1,0>', '(nn::settings::LanguageCode)'),
('nn::settings::ISystemSettingsServer', 1, 'SetNetworkSettings', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::settings::system::NetworkSettings> const&)'),
('nn::settings::ISystemSettingsServer', 2, 'GetNetworkSettings', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::system::NetworkSettings> const&)'),
('nn::settings::ISystemSettingsServer', 3, 'GetFirmwareVersion', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>', '(nn::sf::Out<nn::settings::system::FirmwareVersion,void>)'),
('nn::settings::ISystemSettingsServer', 4, 'GetFirmwareVersion2', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>', '(nn::sf::Out<nn::settings::system::FirmwareVersion,void>)'),
('nn::settings::ISystemSettingsServer', 7, 'GetLockScreenFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 8, 'SetLockScreenFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 9, 'GetBacklightSettings', '0 bytes in - 0x28 bytes out - OutRaw<0x28,4,0>', '(nn::sf::Out<nn::settings::system::BacklightSettings,void>)'),
('nn::settings::ISystemSettingsServer', 10, 'SetBacklightSettings', '0x28 bytes in - 0 bytes out - InRaw<0x28,4,0>', '(nn::settings::system::BacklightSettings const&)'),
('nn::settings::ISystemSettingsServer', 11, 'SetBluetoothDevicesSettings', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::settings::system::BluetoothDevicesSettings> const&)'),
('nn::settings::ISystemSettingsServer', 12, 'GetBluetoothDevicesSettings', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::system::BluetoothDevicesSettings> const&)'),
('nn::settings::ISystemSettingsServer', 13, 'GetExternalSteadyClockSourceId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::util::Uuid,void>)'),
('nn::settings::ISystemSettingsServer', 14, 'SetExternalSteadyClockSourceId', '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>', '(nn::util::Uuid const&)'),
('nn::settings::ISystemSettingsServer', 15, 'GetUserSystemClockContext', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', '(nn::sf::Out<nn::time::SystemClockContext,void>)'),
('nn::settings::ISystemSettingsServer', 16, 'SetUserSystemClockContext', '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>', '(nn::time::SystemClockContext const&)'),
('nn::settings::ISystemSettingsServer', 17, 'GetAccountSettings', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::settings::system::AccountSettings,void>)'),
('nn::settings::ISystemSettingsServer', 18, 'SetAccountSettings', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::settings::system::AccountSettings)'),
('nn::settings::ISystemSettingsServer', 19, 'GetAudioVolume', '4 bytes in - 8 bytes out - OutRaw<8,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::settings::system::AudioVolume,void>,int)'),
('nn::settings::ISystemSettingsServer', 20, 'SetAudioVolume', '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>', '(nn::settings::system::AudioVolume,int)'),
('nn::settings::ISystemSettingsServer', 21, 'GetEulaVersions', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::system::EulaVersion> const&)'),
('nn::settings::ISystemSettingsServer', 22, 'SetEulaVersions', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::settings::system::EulaVersion> const&)'),
('nn::settings::ISystemSettingsServer', 23, 'GetColorSetId', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 24, 'SetColorSetId', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::settings::ISystemSettingsServer', 25, 'GetConsoleInformationUploadFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 26, 'SetConsoleInformationUploadFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 27, 'GetAutomaticApplicationDownloadFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 28, 'SetAutomaticApplicationDownloadFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 29, 'GetNotificationSettings', '0 bytes in - 0x18 bytes out - OutRaw<0x18,4,0>', '(nn::sf::Out<nn::settings::system::NotificationSettings,void>)'),
('nn::settings::ISystemSettingsServer', 30, 'SetNotificationSettings', '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>', '(nn::settings::system::NotificationSettings const&)'),
('nn::settings::ISystemSettingsServer', 31, 'GetAccountNotificationSettings', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::system::AccountNotificationSettings> const&)'),
('nn::settings::ISystemSettingsServer', 32, 'SetAccountNotificationSettings', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::settings::system::AccountNotificationSettings> const&)'),
('nn::settings::ISystemSettingsServer', 35, 'GetVibrationMasterVolume', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<float,void>)'),
('nn::settings::ISystemSettingsServer', 36, 'SetVibrationMasterVolume', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(float)'),
('nn::settings::ISystemSettingsServer', 37, 'GetSettingsItemValueSize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>', '(nn::sf::Out<unsigned long,void>,nn::settings::SettingsName const&,nn::settings::SettingsItemKey const&)'),
('nn::settings::ISystemSettingsServer', 38, 'GetSettingsItemValue', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<2,6,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>', '(nn::sf::Out<unsigned long,void>,nn::sf::OutBuffer const&,nn::settings::SettingsName const&,nn::settings::SettingsItemKey const&)'),
('nn::settings::ISystemSettingsServer', 39, 'GetTvSettings', '0 bytes in - 0x20 bytes out - OutRaw<0x20,4,0>', '(nn::sf::Out<nn::settings::system::TvSettings,void>)'),
('nn::settings::ISystemSettingsServer', 40, 'SetTvSettings', '0x20 bytes in - 0 bytes out - InRaw<0x20,4,0>', '(nn::settings::system::TvSettings const&)'),
('nn::settings::ISystemSettingsServer', 41, 'GetEdid', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>', '(nn::sf::Out<nn::settings::system::Edid,void>)'),
('nn::settings::ISystemSettingsServer', 42, 'SetEdid', '0 bytes in - 0 bytes out - Buffer<0,0x19,0x100>', '(nn::settings::system::Edid const&)'),
('nn::settings::ISystemSettingsServer', 43, 'GetAudioOutputMode', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,int)'),
('nn::settings::ISystemSettingsServer', 44, 'SetAudioOutputMode', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(int,int)'),
('nn::settings::ISystemSettingsServer', 45, 'IsForceMuteOnHeadphoneRemoved', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 46, 'SetForceMuteOnHeadphoneRemoved', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 47, 'GetQuestFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 48, 'SetQuestFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 49, 'GetDataDeletionSettings', '0 bytes in - 8 bytes out - OutRaw<8,4,0>', '(nn::sf::Out<nn::settings::system::DataDeletionSettings,void>)'),
('nn::settings::ISystemSettingsServer', 50, 'SetDataDeletionSettings', '8 bytes in - 0 bytes out - InRaw<8,4,0>', '(nn::settings::system::DataDeletionSettings)'),
('nn::settings::ISystemSettingsServer', 51, 'GetInitialSystemAppletProgramId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::ncm::ProgramId,void>)'),
('nn::settings::ISystemSettingsServer', 52, 'GetOverlayDispProgramId', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::ncm::ProgramId,void>)'),
('nn::settings::ISystemSettingsServer', 53, 'GetDeviceTimeZoneLocationName', '0 bytes in - 0x24 bytes out - OutRaw<0x24,1,0>', '(nn::sf::Out<nn::time::LocationName,void>)'),
('nn::settings::ISystemSettingsServer', 54, 'SetDeviceTimeZoneLocationName', '0x24 bytes in - 0 bytes out - InRaw<0x24,1,0>', '(nn::time::LocationName const&)'),
('nn::settings::ISystemSettingsServer', 55, 'GetWirelessCertificationFileSize', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::settings::ISystemSettingsServer', 56, 'GetWirelessCertificationFile', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::OutBuffer const&)'),
('nn::settings::ISystemSettingsServer', 57, 'SetRegionCode', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::settings::ISystemSettingsServer', 58, 'GetNetworkSystemClockContext', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', '(nn::sf::Out<nn::time::SystemClockContext,void>)'),
('nn::settings::ISystemSettingsServer', 59, 'SetNetworkSystemClockContext', '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>', '(nn::time::SystemClockContext const&)'),
('nn::settings::ISystemSettingsServer', 60, 'IsUserSystemClockAutomaticCorrectionEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 61, 'SetUserSystemClockAutomaticCorrectionEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 62, 'GetDebugModeFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 63, 'GetPrimaryAlbumStorage', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 64, 'SetPrimaryAlbumStorage', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::settings::ISystemSettingsServer', 65, 'GetUsb30EnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 66, 'SetUsb30EnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 67, 'GetBatteryLot', '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>', '(nn::sf::Out<nn::settings::system::BatteryLot,void>)'),
('nn::settings::ISystemSettingsServer', 68, 'GetSerialNumber', '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>', '(nn::sf::Out<nn::settings::system::SerialNumber,void>)'),
('nn::settings::ISystemSettingsServer', 69, 'GetNfcEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 70, 'SetNfcEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 71, 'GetSleepSettings', '0 bytes in - 0xC bytes out - OutRaw<0xC,4,0>', '(nn::sf::Out<nn::settings::system::SleepSettings,void>)'),
('nn::settings::ISystemSettingsServer', 72, 'SetSleepSettings', '0xC bytes in - 0 bytes out - InRaw<0xC,4,0>', '(nn::settings::system::SleepSettings const&)'),
('nn::settings::ISystemSettingsServer', 73, 'GetWirelessLanEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 74, 'SetWirelessLanEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 75, 'GetInitialLaunchSettings', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', '(nn::sf::Out<nn::settings::system::InitialLaunchSettings,void>)'),
('nn::settings::ISystemSettingsServer', 76, 'SetInitialLaunchSettings', '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>', '(nn::settings::system::InitialLaunchSettings const&)'),
('nn::settings::ISystemSettingsServer', 77, 'GetDeviceNickName', '0 bytes in - 0 bytes out - Buffer<0,0x16,0x80>', '(nn::sf::Out<nn::settings::system::DeviceNickName,void>)'),
('nn::settings::ISystemSettingsServer', 78, 'SetDeviceNickName', '0 bytes in - 0 bytes out - Buffer<0,0x15,0x80>', '(nn::settings::system::DeviceNickName const&)'),
('nn::settings::ISystemSettingsServer', 79, 'GetProductModel', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 80, 'GetLdnChannel', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 81, 'SetLdnChannel', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::settings::ISystemSettingsServer', 82, 'AcquireTelemetryDirtyFlagEventHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::settings::ISystemSettingsServer', 83, 'GetTelemetryDirtyFlags', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::util::BitFlagSet<128,nn::settings::system::TelemetryDirtyFlag>,void>)'),
('nn::settings::ISystemSettingsServer', 84, 'GetPtmBatteryLot', '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>', '(nn::sf::Out<nn::settings::factory::BatteryLot,void>)'),
('nn::settings::ISystemSettingsServer', 85, 'SetPtmBatteryLot', '0x18 bytes in - 0 bytes out - InRaw<0x18,1,0>', '(nn::settings::factory::BatteryLot const&)'),
('nn::settings::ISystemSettingsServer', 86, 'GetPtmFuelGaugeParameter', '0 bytes in - 0x18 bytes out - OutRaw<0x18,4,0>', '(nn::sf::Out<nn::settings::system::PtmFuelGaugeParameter,void>)'),
('nn::settings::ISystemSettingsServer', 87, 'SetPtmFuelGaugeParameter', '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>', '(nn::settings::system::PtmFuelGaugeParameter const&)'),
('nn::settings::ISystemSettingsServer', 88, 'GetBluetoothEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 89, 'SetBluetoothEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 90, 'GetMiiAuthorId', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::util::Uuid,void>)'),
('nn::settings::ISystemSettingsServer', 91, 'SetShutdownRtcValue', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(long)'),
('nn::settings::ISystemSettingsServer', 92, 'GetShutdownRtcValue', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::settings::ISystemSettingsServer', 93, 'AcquireFatalDirtyFlagEventHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::settings::ISystemSettingsServer', 94, 'GetFatalDirtyFlags', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', '(nn::sf::Out<nn::util::BitFlagSet<128,nn::settings::system::FatalDirtyFlag>,void>)'),
('nn::settings::ISystemSettingsServer', 95, 'GetAutoUpdateEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 96, 'SetAutoUpdateEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 97, 'GetNxControllerSettings', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::settings::system::NxControllerSettings> const&)'),
('nn::settings::ISystemSettingsServer', 98, 'SetNxControllerSettings', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::settings::system::NxControllerSettings> const&)'),
('nn::settings::ISystemSettingsServer', 99, 'GetBatteryPercentageFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 100, 'SetBatteryPercentageFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 101, 'GetExternalRtcResetFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 102, 'SetExternalRtcResetFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 103, 'GetUsbFullKeyEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 104, 'SetUsbFullKeyEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 105, 'SetExternalSteadyClockInternalOffset', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(long)'),
('nn::settings::ISystemSettingsServer', 106, 'GetExternalSteadyClockInternalOffset', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::settings::ISystemSettingsServer', 107, 'GetBacklightSettingsEx', '0 bytes in - 0x2C bytes out - OutRaw<0x2C,4,0>', '(nn::sf::Out<nn::settings::system::BacklightSettingsEx,void>)'),
('nn::settings::ISystemSettingsServer', 108, 'SetBacklightSettingsEx', '0x2C bytes in - 0 bytes out - InRaw<0x2C,4,0>', '(nn::settings::system::BacklightSettingsEx const&)'),
('nn::settings::ISystemSettingsServer', 109, 'GetHeadphoneVolumeWarningCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 110, 'SetHeadphoneVolumeWarningCount', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::settings::ISystemSettingsServer', 111, 'GetBluetoothAfhEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 112, 'SetBluetoothAfhEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 113, 'GetBluetoothBoostEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 114, 'SetBluetoothBoostEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 115, 'GetInRepairProcessEnableFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 116, 'SetInRepairProcessEnableFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 117, 'GetHeadphoneVolumeUpdateFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::settings::ISystemSettingsServer', 118, 'SetHeadphoneVolumeUpdateFlag', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::settings::ISystemSettingsServer', 119, 'NeedsToUpdateHeadphoneVolume', '1 bytes in - 3 bytes out - OutRaw<1,1,0>, OutRaw<1,1,1>, OutRaw<1,1,2>, InRaw<1,1,0>', '(nn::sf::Out<bool,void>,nn::sf::Out<bool,void>,nn::sf::Out<signed char,void>,bool)'),
('nn::settings::ISystemSettingsServer', 120, 'GetPushNotificationActivityModeOnSleep', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::settings::ISystemSettingsServer', 121, 'SetPushNotificationActivityModeOnSleep', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::ssl::sf::ISslService', 0, 'CreateContext', '0x10 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<4,4,0>, InRaw<8,8,8>', '(nn::sf::Out<nn::sf::SharedPointer<nn::ssl::sf::ISslContext>,void>,nn::ssl::sf::SslVersion,unsigned long)'),
('nn::ssl::sf::ISslService', 1, 'GetContextCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::ssl::sf::ISslService', 2, 'GetCertificates', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, Buffer<1,5,0>', '(nn::sf::OutBuffer const&,nn::sf::Out<unsigned int,void>,nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslService', 3, 'GetCertificateBufSize', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslService', 4, 'DebugIoctl', '8 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,5,0>, InRaw<8,8,0>', '(nn::sf::OutBuffer const&,nn::sf::InBuffer const&,unsigned long)'),
('nn::ssl::sf::ISslService', 5, 'SetInterfaceVersion', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::ssl::sf::ISslContext', 0, 'SetOption', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(nn::ssl::sf::ContextOption,int)'),
('nn::ssl::sf::ISslContext', 1, 'GetOption', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::ssl::sf::ContextOption)'),
('nn::ssl::sf::ISslContext', 2, 'CreateConnection', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::ssl::sf::ISslConnection>,void>)'),
('nn::ssl::sf::ISslContext', 3, 'GetConnectionCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::ssl::sf::ISslContext', 4, 'ImportServerPki', '4 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>, InRaw<4,4,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::InBuffer const&,nn::ssl::sf::CertificateFormat)'),
('nn::ssl::sf::ISslContext', 5, 'ImportClientPki', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>, Buffer<1,5,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::InBuffer const&,nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslContext', 6, 'RemoveServerPki', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::ssl::sf::ISslContext', 7, 'RemoveClientPki', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::ssl::sf::ISslContext', 8, 'RegisterInternalPki', '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>', '(nn::sf::Out<unsigned long,void>,nn::ssl::sf::InternalPki)'),
('nn::ssl::sf::ISslContext', 9, 'AddPolicyOid', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslContext', 10, 'ImportCrl', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslContext', 11, 'RemoveCrl', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::ssl::sf::ISslConnection', 0, 'SetSocketDescriptor', '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>', '(int,nn::sf::Out<int,void>)'),
('nn::ssl::sf::ISslConnection', 1, 'SetHostName', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslConnection', 2, 'SetVerifyOption', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::ssl::sf::VerifyOption)'),
('nn::ssl::sf::ISslConnection', 3, 'SetIoMode', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::ssl::sf::IoMode)'),
('nn::ssl::sf::ISslConnection', 4, 'GetSocketDescriptor', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::ssl::sf::ISslConnection', 5, 'GetHostName', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', '(nn::sf::OutBuffer const&,nn::sf::Out<unsigned int,void>)'),
('nn::ssl::sf::ISslConnection', 6, 'GetVerifyOption', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::ssl::sf::VerifyOption,void>)'),
('nn::ssl::sf::ISslConnection', 7, 'GetIoMode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::ssl::sf::IoMode,void>)'),
('nn::ssl::sf::ISslConnection', 8, 'DoHandshake', '0 bytes in - 0 bytes out', '(void)'),
('nn::ssl::sf::ISslConnection', 9, 'DoHandshakeGetServerCert', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::ssl::sf::ISslConnection', 10, 'Read', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::ssl::sf::ISslConnection', 11, 'Write', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::InBuffer const&)'),
('nn::ssl::sf::ISslConnection', 12, 'Pending', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::ssl::sf::ISslConnection', 13, 'Peek', '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>', '(nn::sf::Out<unsigned int,void>,nn::sf::OutBuffer const&)'),
('nn::ssl::sf::ISslConnection', 14, 'Poll', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<nn::ssl::sf::PollEvent,void>,nn::ssl::sf::PollEvent,unsigned int)'),
('nn::ssl::sf::ISslConnection', 15, 'GetVerifyCertError', '0 bytes in - 0 bytes out', '(void)'),
('nn::ssl::sf::ISslConnection', 16, 'GetNeededServerCertBufferSize', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::ssl::sf::ISslConnection', 17, 'SetSessionCacheMode', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::ssl::sf::SessionCacheMode)'),
('nn::ssl::sf::ISslConnection', 18, 'GetSessionCacheMode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::ssl::sf::SessionCacheMode,void>)'),
('nn::ssl::sf::ISslConnection', 19, 'FlushSessionCache', '0 bytes in - 0 bytes out', '(void)'),
('nn::ssl::sf::ISslConnection', 20, 'SetRenegotiationMode', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::ssl::sf::RenegotiationMode)'),
('nn::ssl::sf::ISslConnection', 21, 'GetRenegotiationMode', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<nn::ssl::sf::RenegotiationMode,void>)'),
('nn::ssl::sf::ISslConnection', 22, 'SetOption', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(nn::ssl::sf::OptionType,bool)'),
('nn::ssl::sf::ISslConnection', 23, 'GetOption', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::ssl::sf::OptionType)'),
('nn::ssl::sf::ISslConnection', 24, 'GetVerifyCertErrors', '0 bytes in - 8 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>', '(nn::sf::OutBuffer const&,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>)'),
('nn::timesrv::detail::service::IStaticService', 0, 'GetStandardUserSystemClock', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::timesrv::detail::service::ISystemClock>,void>)'),
('nn::timesrv::detail::service::IStaticService', 1, 'GetStandardNetworkSystemClock', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::timesrv::detail::service::ISystemClock>,void>)'),
('nn::timesrv::detail::service::IStaticService', 2, 'GetStandardSteadyClock', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::timesrv::detail::service::ISteadyClock>,void>)'),
('nn::timesrv::detail::service::IStaticService', 3, 'GetTimeZoneService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::timesrv::detail::service::ITimeZoneService>,void>)'),
('nn::timesrv::detail::service::IStaticService', 4, 'GetStandardLocalSystemClock', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::timesrv::detail::service::ISystemClock>,void>)'),
('nn::timesrv::detail::service::IStaticService', 100, 'IsStandardUserSystemClockAutomaticCorrectionEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::timesrv::detail::service::IStaticService', 101, 'SetStandardUserSystemClockAutomaticCorrectionEnabled', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::timesrv::detail::service::IStaticService', 200, 'IsStandardNetworkSystemClockAccuracySufficient', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::timesrv::detail::service::ISystemClock', 0, 'GetCurrentTime', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::time::PosixTime,void>)'),
('nn::timesrv::detail::service::ISystemClock', 1, 'SetCurrentTime', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::time::PosixTime)'),
('nn::timesrv::detail::service::ISystemClock', 2, 'GetSystemClockContext', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', '(nn::sf::Out<nn::time::SystemClockContext,void>)'),
('nn::timesrv::detail::service::ISystemClock', 3, 'SetSystemClockContext', '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>', '(nn::time::SystemClockContext const&)'),
('nn::timesrv::detail::service::ISteadyClock', 0, 'GetCurrentTimePoint', '0 bytes in - 0x18 bytes out - OutRaw<0x18,8,0>', '(nn::sf::Out<nn::time::SteadyClockTimePoint,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 2, 'GetTestOffset', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::TimeSpanType,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 3, 'SetTestOffset', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::TimeSpanType)'),
('nn::timesrv::detail::service::ISteadyClock', 100, 'GetRtcValue', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 101, 'IsRtcResetDetected', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 102, 'GetSetupResutltValue', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 200, 'GetInternalOffset', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<nn::TimeSpanType,void>)'),
('nn::timesrv::detail::service::ISteadyClock', 201, 'SetInternalOffset', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::TimeSpanType)'),
('nn::timesrv::detail::service::ITimeZoneService', 0, 'GetDeviceLocationName', '0 bytes in - 0x24 bytes out - OutRaw<0x24,1,0>', '(nn::sf::Out<nn::time::LocationName,void>)'),
('nn::timesrv::detail::service::ITimeZoneService', 1, 'SetDeviceLocationName', '0x24 bytes in - 0 bytes out - InRaw<0x24,1,0>', '(nn::time::LocationName const&)'),
('nn::timesrv::detail::service::ITimeZoneService', 2, 'GetTotalLocationNameCount', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<int,void>)'),
('nn::timesrv::detail::service::ITimeZoneService', 3, 'LoadLocationNameList', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::time::LocationName> const&,int)'),
('nn::timesrv::detail::service::ITimeZoneService', 4, 'LoadTimeZoneRule', '0x24 bytes in - 0 bytes out - Buffer<0,0x16,0x4000>, InRaw<0x24,1,0>', '(nn::sf::Out<nn::time::TimeZoneRule,void>,nn::time::LocationName const&)'),
('nn::timesrv::detail::service::ITimeZoneService', 5, 'GetTimeZoneRuleVersion', '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>', '(nn::sf::Out<nn::time::TimeZoneRuleVersion,void>)'),
('nn::timesrv::detail::service::ITimeZoneService', 100, 'ToCalendarTime', '8 bytes in - 0x20 bytes out - OutRaw<8,2,0>, OutRaw<0x18,4,8>, InRaw<8,8,0>, Buffer<0,0x15,0x4000>', '(nn::sf::Out<nn::time::CalendarTime,void>,nn::sf::Out<nn::time::sf::CalendarAdditionalInfo,void>,nn::time::PosixTime,nn::time::TimeZoneRule const&)'),
('nn::timesrv::detail::service::ITimeZoneService', 101, 'ToCalendarTimeWithMyRule', '8 bytes in - 0x20 bytes out - OutRaw<8,2,0>, OutRaw<0x18,4,8>, InRaw<8,8,0>', '(nn::sf::Out<nn::time::CalendarTime,void>,nn::sf::Out<nn::time::sf::CalendarAdditionalInfo,void>,nn::time::PosixTime)'),
('nn::timesrv::detail::service::ITimeZoneService', 201, 'ToPosixTime', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<1,0xA,0>, InRaw<8,2,0>, Buffer<0,0x15,0x4000>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::time::PosixTime> const&,nn::time::CalendarTime,nn::time::TimeZoneRule const&)'),
('nn::timesrv::detail::service::ITimeZoneService', 202, 'ToPosixTimeWithMyRule', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<8,2,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::time::PosixTime> const&,nn::time::CalendarTime)'),
('nn::ntc::detail::service::IStaticService', 0, '', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>', ''),
('nn::ntc::detail::service::IStaticService', 100, '', '0 bytes in - 0 bytes out', ''),
('nn::ntc::detail::service::IStaticService', 101, '', '0 bytes in - 0 bytes out', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 0, '', '0 bytes in - 0 bytes out', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 1, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 3, '', '0 bytes in - 0 bytes out', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 4, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::ntc::detail::service::IEnsureNetworkClockAvailabilityService', 5, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::aocsrv::detail::IAddOnContentManager', 0, 'CountAddOnContentByApplicationId', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<int,void>,nn::ncm::ApplicationId)'),
('nn::aocsrv::detail::IAddOnContentManager', 1, 'ListAddOnContentByApplicationId', '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<8,8,8>', '(nn::sf::Out<int,void>,nn::sf::OutArray<int> const&,int,int,nn::ncm::ApplicationId)'),
('nn::aocsrv::detail::IAddOnContentManager', 2, 'CountAddOnContent', '8 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<int,void>,unsigned long)'),
('nn::aocsrv::detail::IAddOnContentManager', 3, 'ListAddOnContent', '0x10 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<int,void>,nn::sf::OutArray<int> const&,unsigned long,int,int)'),
('nn::aocsrv::detail::IAddOnContentManager', 4, 'GetAddOnContentBaseIdByApplicationId', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>,nn::ncm::ApplicationId)'),
('nn::aocsrv::detail::IAddOnContentManager', 5, 'GetAddOnContentBaseId', '8 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>,unsigned long)'),
('nn::aocsrv::detail::IAddOnContentManager', 6, 'PrepareAddOnContentByApplicationId', '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<8,8,8>', '(int,nn::ncm::ApplicationId)'),
('nn::aocsrv::detail::IAddOnContentManager', 7, 'PrepareAddOnContent', '0x10 bytes in - 0 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,8>', '(int,unsigned long)'),
('nn::audio::detail::IAudioDebugManager', 0, '', '0x10 bytes in - 0 bytes out - InHandle<0,1>, InRaw<8,8,8>, InRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDebugManager', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioDebugManager', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioDebugManager', 3, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioInManager', 0, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioInManager', 1, '', '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,5,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,6,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioInManager', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioInManager', 3, '', '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,0x21,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,0x22,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioInManager', 4, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioIn', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioIn', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioIn', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioIn', 3, '', '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioIn', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioIn', 5, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioIn', 6, '', '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>', ''),
('nn::audio::detail::IAudioIn', 7, '', '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>, InHandle<0,1>', ''),
('nn::audio::detail::IAudioIn', 8, '', '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioIn', 9, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioIn', 10, '', '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>, InHandle<0,1>', ''),
('nn::audio::detail::IAudioInManagerForApplet', 0, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioInManagerForApplet', 1, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioInManagerForApplet', 2, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioInManagerForApplet', 3, '', '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>', ''),
('nn::audio::detail::IAudioInManagerForDebugger', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioInManagerForDebugger', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioOutManager', 0, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioOutManager', 1, '', '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,5,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,6,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioOutManager', 2, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioOutManager', 3, '', '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,0x21,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,0x22,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioOut', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioOut', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioOut', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioOut', 3, '', '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioOut', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioOut', 5, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioOut', 6, '', '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>', ''),
('nn::audio::detail::IAudioOut', 7, '', '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioOut', 8, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioOutManagerForApplet', 0, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioOutManagerForApplet', 1, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioOutManagerForApplet', 2, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioOutManagerForApplet', 3, '', '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>', ''),
('nn::audio::detail::IAudioOutManagerForDebugger', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioOutManagerForDebugger', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManager', 0, '', '0x48 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<0x34,4,0>, InHandle<0,1>, InHandle<1,1>, InRaw<8,8,0x38>, InRaw<8,8,0x40>', ''),
('nn::audio::detail::IAudioRendererManager', 1, '', '0x34 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x34,4,0>', ''),
('nn::audio::detail::IAudioRendererManager', 2, '', '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManager', 3, '', '0x50 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<0x34,4,0>, InRaw<8,8,0x38>, InHandle<0,1>, InRaw<8,8,0x40>, InRaw<8,8,0x48>', ''),
('nn::audio::detail::IAudioRenderer', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 1, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 2, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 3, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 4, '', '0 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,6,0>, Buffer<2,5,0>', ''),
('nn::audio::detail::IAudioRenderer', 5, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioRenderer', 6, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioRenderer', 7, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioRenderer', 8, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 9, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioRenderer', 10, '', '0 bytes in - 0 bytes out - Buffer<0,0x22,0>, Buffer<1,0x22,0>, Buffer<2,0x21,0>', ''),
('nn::audio::detail::IAudioRenderer', 11, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IAudioDevice', 0, '', '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 1, '', '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 2, '', '0 bytes in - 4 bytes out - Buffer<0,5,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 3, '', '0 bytes in - 0 bytes out - Buffer<0,6,0>', ''),
('nn::audio::detail::IAudioDevice', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioDevice', 5, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 6, '', '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 7, '', '4 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 8, '', '0 bytes in - 4 bytes out - Buffer<0,0x21,0>, OutRaw<4,4,0>', ''),
('nn::audio::detail::IAudioDevice', 10, '', '0 bytes in - 0 bytes out - Buffer<0,0x22,0>', ''),
('nn::audio::detail::IAudioDevice', 11, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioDevice', 12, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 0, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 1, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 2, '', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 3, '', '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 4, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManagerForApplet', 5, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManagerForDebugger', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IAudioRendererManagerForDebugger', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorderManager', 0, '', '0x10 bytes in - 0x10 bytes out - OutObject<0,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IFinalOutputRecorder', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::audio::detail::IFinalOutputRecorder', 1, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IFinalOutputRecorder', 2, '', '0 bytes in - 0 bytes out', ''),
('nn::audio::detail::IFinalOutputRecorder', 3, '', '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorder', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::audio::detail::IFinalOutputRecorder', 5, '', '0 bytes in - 0x10 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<8,8,8>', ''),
('nn::audio::detail::IFinalOutputRecorder', 6, '', '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>', ''),
('nn::audio::detail::IFinalOutputRecorder', 7, '', '8 bytes in - 8 bytes out - InRaw<8,8,0>, OutRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorder', 8, '', '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorder', 9, '', '0 bytes in - 0x10 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>, OutRaw<8,8,8>', ''),
('nn::audio::detail::IFinalOutputRecorderManagerForDebugger', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorderManagerForDebugger', 1, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::audio::detail::IFinalOutputRecorderManagerForApplet', 0, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::audio::detail::IFinalOutputRecorderManagerForApplet', 1, '', '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>', ''),
('nn::mii::detail::IStaticService', 0, 'GetDatabaseService', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::mii::detail::IDatabaseService>,void>,int)'),
('nn::mii::detail::IDatabaseService', 0, 'IsUpdated', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,int)'),
('nn::mii::detail::IDatabaseService', 1, 'IsFullDatabase', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::mii::detail::IDatabaseService', 2, 'GetCount', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,int)'),
('nn::mii::detail::IDatabaseService', 3, 'Get', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::mii::CharInfoElement> const&,int)'),
('nn::mii::detail::IDatabaseService', 4, 'Get1', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::mii::CharInfo> const&,int)'),
('nn::mii::detail::IDatabaseService', 5, 'UpdateLatest', '0x5C bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<0x58,4,0>, InRaw<4,4,0x58>', '(nn::sf::Out<nn::mii::CharInfo,void>,nn::mii::CharInfo const&,int)'),
('nn::mii::detail::IDatabaseService', 6, 'BuildRandom', '0xC bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', '(nn::sf::Out<nn::mii::CharInfo,void>,int,int,int)'),
('nn::mii::detail::IDatabaseService', 7, 'BuildDefault', '4 bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::mii::CharInfo,void>,int)'),
('nn::mii::detail::IDatabaseService', 8, 'Get2', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::mii::StoreDataElement> const&,int)'),
('nn::mii::detail::IDatabaseService', 9, 'Get3', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::OutArray<nn::mii::StoreData> const&,int)'),
('nn::mii::detail::IDatabaseService', 10, 'UpdateLatest1', '0x48 bytes in - 0x44 bytes out - OutRaw<0x44,4,0>, InRaw<0x44,4,0>, InRaw<4,4,0x44>', '(nn::sf::Out<nn::mii::StoreData,void>,nn::mii::StoreData const&,int)'),
('nn::mii::detail::IDatabaseService', 11, 'FindIndex', '0x11 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,1,0>, InRaw<1,1,0x10>', '(nn::sf::Out<int,void>,nn::mii::CreateId const&,bool)'),
('nn::mii::detail::IDatabaseService', 12, 'Move', '0x14 bytes in - 0 bytes out - InRaw<4,4,0x10>, InRaw<0x10,1,0>', '(int,nn::mii::CreateId const&)'),
('nn::mii::detail::IDatabaseService', 13, 'AddOrReplace', '0x44 bytes in - 0 bytes out - InRaw<0x44,4,0>', '(nn::mii::StoreData const&)'),
('nn::mii::detail::IDatabaseService', 14, 'Delete', '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>', '(nn::mii::CreateId const&)'),
('nn::mii::detail::IDatabaseService', 15, 'DestroyFile', '0 bytes in - 0 bytes out', '(void)'),
('nn::mii::detail::IDatabaseService', 16, 'DeleteFile', '0 bytes in - 0 bytes out', '(void)'),
('nn::mii::detail::IDatabaseService', 17, 'Format', '0 bytes in - 0 bytes out', '(void)'),
('nn::mii::detail::IDatabaseService', 18, 'Import', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InBuffer const&)'),
('nn::mii::detail::IDatabaseService', 19, 'Export', '0 bytes in - 0 bytes out - Buffer<0,6,0>', '(nn::sf::OutBuffer const&)'),
('nn::mii::detail::IDatabaseService', 20, 'IsBrokenDatabaseWithClearFlag', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::mii::detail::IDatabaseService', 21, 'GetIndex', '0x58 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x58,4,0>', '(nn::sf::Out<int,void>,nn::mii::CharInfo const&)'),
('nn::pl::detail::ISharedFontManager', 0, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::pl::detail::ISharedFontManager', 1, '', '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>', ''),
('nn::pl::detail::ISharedFontManager', 2, '', '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>', ''),
('nn::pl::detail::ISharedFontManager', 3, '', '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>', ''),
('nn::pl::detail::ISharedFontManager', 4, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::pl::detail::ISharedFontManager', 5, '', '8 bytes in - 8 bytes out - OutRaw<1,1,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,6,0>, Buffer<2,6,0>, InRaw<8,1,0>', ''),
('nn::visrv::sf::IManagerRootService', 2, 'GetDisplayService', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IApplicationDisplayService>,void>,unsigned int)'),
('nn::visrv::sf::IManagerRootService', 3, 'GetDisplayServiceWithProxyNameExchange', '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,8>, InRaw<8,1,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IApplicationDisplayService>,void>,unsigned int,nn::vi::ProxyName)'),
('nn::visrv::sf::IApplicationDisplayService', 100, 'GetRelayService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nns::hosbinder::IHOSBinderDriver>,void>)'),
('nn::visrv::sf::IApplicationDisplayService', 101, 'GetSystemDisplayService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::ISystemDisplayService>,void>)'),
('nn::visrv::sf::IApplicationDisplayService', 102, 'GetManagerDisplayService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IManagerDisplayService>,void>)'),
('nn::visrv::sf::IApplicationDisplayService', 103, 'GetIndirectDisplayTransactionService', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nns::hosbinder::IHOSBinderDriver>,void>)'),
('nn::visrv::sf::IApplicationDisplayService', 1000, 'ListDisplays', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::vi::DisplayInfo> const&)'),
('nn::visrv::sf::IApplicationDisplayService', 1010, 'OpenDisplay', '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x40,1,0>', '(nn::sf::Out<unsigned long,void>,nn::vi::DisplayName const&)'),
('nn::visrv::sf::IApplicationDisplayService', 1011, 'OpenDefaultDisplay', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::visrv::sf::IApplicationDisplayService', 1020, 'CloseDisplay', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IApplicationDisplayService', 1101, 'SetDisplayEnabled', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(unsigned long,bool)'),
('nn::visrv::sf::IApplicationDisplayService', 1102, 'GetDisplayResolution', '8 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::IApplicationDisplayService', 2020, 'OpenLayer', '0x50 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0x40>, InRaw<0x40,1,0>, InRaw<8,8,0x48>', '(nn::sf::Out<long,void>,nn::sf::OutBuffer const&,unsigned long,nn::vi::DisplayName const&,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IApplicationDisplayService', 2021, 'CloseLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IApplicationDisplayService', 2030, 'CreateStrayLayer', '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::Out<long,void>,nn::sf::OutBuffer const&,unsigned long,unsigned int)'),
('nn::visrv::sf::IApplicationDisplayService', 2031, 'DestroyStrayLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IApplicationDisplayService', 2101, 'SetLayerScalingMode', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::IApplicationDisplayService', 2450, 'GetIndirectLayerImageMap', '0x20 bytes in - 0x10 bytes out - takes pid - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,nn::sf::OutBuffer const&,long,long,unsigned long,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IApplicationDisplayService', 2451, 'GetIndirectLayerImageCropMap', '0x30 bytes in - 0x10 bytes out - takes pid - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0x10>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<4,4,0xC>, InRaw<8,8,0x20>, InRaw<8,8,0x28>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,nn::sf::OutBuffer const&,long,long,float,float,float,float,unsigned long,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IApplicationDisplayService', 2460, 'GetIndirectLayerImageRequiredMemoryInfo', '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>, InRaw<8,8,8>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,long,long)'),
('nn::visrv::sf::IApplicationDisplayService', 5202, 'GetDisplayVsyncEvent', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned long)'),
('nn::visrv::sf::IApplicationDisplayService', 5203, 'GetDisplayVsyncEventForDebug', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned long)'),
('nns::hosbinder::IHOSBinderDriver', 0, 'TransactParcel', '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,5,0>, Buffer<1,6,0>, InRaw<4,4,8>', '(int,unsigned int,nn::sf::InBuffer const&,nn::sf::OutBuffer const&,unsigned int)'),
('nns::hosbinder::IHOSBinderDriver', 1, 'AdjustRefcount', '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', '(int,int,int)'),
('nns::hosbinder::IHOSBinderDriver', 2, 'GetNativeHandle', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, OutHandle<0,1>', '(int,unsigned int,nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nns::hosbinder::IHOSBinderDriver', 3, 'TransactParcelAuto', '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, InRaw<4,4,8>', '(int,unsigned int,nn::sf::InBuffer const&,nn::sf::OutBuffer const&,unsigned int)'),
('nn::visrv::sf::ISystemDisplayService', 1200, 'GetZOrderCountMin', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 1202, 'GetZOrderCountMax', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 1203, 'GetDisplayLogicalResolution', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,0>', '(nn::sf::Out<int,void>,nn::sf::Out<int,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 1204, 'SetDisplayMagnification', '0x18 bytes in - 0 bytes out - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<4,4,0xC>', '(unsigned long,int,int,int,int)'),
('nn::visrv::sf::ISystemDisplayService', 2201, 'SetLayerPosition', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(unsigned long,float,float)'),
('nn::visrv::sf::ISystemDisplayService', 2203, 'SetLayerSize', '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>', '(unsigned long,long,long)'),
('nn::visrv::sf::ISystemDisplayService', 2204, 'GetLayerZ', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 2205, 'SetLayerZ', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(unsigned long,long)'),
('nn::visrv::sf::ISystemDisplayService', 2207, 'SetLayerVisibility', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(unsigned long,bool)'),
('nn::visrv::sf::ISystemDisplayService', 2209, 'SetLayerAlpha', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,float)'),
('nn::visrv::sf::ISystemDisplayService', 2312, 'CreateStrayLayer', '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<unsigned long,void>,nn::sf::Out<long,void>,nn::sf::OutBuffer const&,unsigned long,unsigned int)'),
('nn::visrv::sf::ISystemDisplayService', 2400, 'OpenIndirectLayer', '0x10 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>, InRaw<8,8,8>', '(nn::sf::Out<long,void>,nn::sf::OutBuffer const&,unsigned long,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::ISystemDisplayService', 2401, 'CloseIndirectLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 2402, 'FlipIndirectLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3000, 'ListDisplayModes', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::vi::DisplayModeInfo> const&,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3001, 'ListDisplayRgbRanges', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<unsigned int> const&,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3002, 'ListDisplayContentTypes', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<unsigned int> const&,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3200, 'GetDisplayMode', '8 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::vi::DisplayModeInfo,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3201, 'SetDisplayMode', '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<0x10,4,8>', '(unsigned long,nn::vi::DisplayModeInfo const&)'),
('nn::visrv::sf::ISystemDisplayService', 3202, 'GetDisplayUnderscan', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3203, 'SetDisplayUnderscan', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(unsigned long,long)'),
('nn::visrv::sf::ISystemDisplayService', 3204, 'GetDisplayContentType', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned int,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3205, 'SetDisplayContentType', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::ISystemDisplayService', 3206, 'GetDisplayRgbRange', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned int,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3207, 'SetDisplayRgbRange', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::ISystemDisplayService', 3208, 'GetDisplayCmuMode', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned int,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3209, 'SetDisplayCmuMode', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::ISystemDisplayService', 3210, 'GetDisplayContrastRatio', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<float,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3211, 'SetDisplayContrastRatio', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,float)'),
('nn::visrv::sf::ISystemDisplayService', 3214, 'GetDisplayGamma', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<float,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3215, 'SetDisplayGamma', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,float)'),
('nn::visrv::sf::ISystemDisplayService', 3216, 'GetDisplayCmuLuma', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<float,void>,unsigned long)'),
('nn::visrv::sf::ISystemDisplayService', 3217, 'SetDisplayCmuLuma', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,float)'),
('nn::visrv::sf::IManagerDisplayService', 1102, 'GetDisplayResolution', '8 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2010, 'CreateManagedLayer', '0x18 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>', '(nn::sf::Out<unsigned long,void>,unsigned long,unsigned int,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IManagerDisplayService', 2011, 'DestroyManagedLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2050, 'CreateIndirectLayer', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<unsigned long,void>)'),
('nn::visrv::sf::IManagerDisplayService', 2051, 'DestroyIndirectLayer', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2052, 'CreateIndirectProducerEndPoint', '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>', '(nn::sf::Out<unsigned long,void>,unsigned long,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IManagerDisplayService', 2053, 'DestroyIndirectProducerEndPoint', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2054, 'CreateIndirectConsumerEndPoint', '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>', '(nn::sf::Out<unsigned long,void>,unsigned long,nn::applet::AppletResourceUserId)'),
('nn::visrv::sf::IManagerDisplayService', 2055, 'DestroyIndirectConsumerEndPoint', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2300, 'AcquireLayerTexturePresentingEvent', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2301, 'ReleaseLayerTexturePresentingEvent', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2302, 'GetDisplayHotplugEvent', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 2402, 'GetDisplayHotplugState', '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>', '(nn::sf::Out<unsigned int,void>,unsigned long)'),
('nn::visrv::sf::IManagerDisplayService', 4201, 'SetDisplayAlpha', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,float)'),
('nn::visrv::sf::IManagerDisplayService', 4203, 'SetDisplayLayerStack', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::IManagerDisplayService', 4205, 'SetDisplayPowerState', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::IManagerDisplayService', 6000, 'AddToLayerStack', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::IManagerDisplayService', 6001, 'RemoveFromLayerStack', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>', '(unsigned long,unsigned int)'),
('nn::visrv::sf::IManagerDisplayService', 6002, 'SetLayerVisibility', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(unsigned long,bool)'),
('nn::visrv::sf::IManagerDisplayService', 7000, 'SetContentVisibility', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::visrv::sf::IManagerDisplayService', 8000, 'SetConductorLayer', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(unsigned long,bool)'),
('nn::visrv::sf::IManagerDisplayService', 8100, 'SetIndirectProducerFlipOffset', '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>', '(unsigned long,unsigned long,nn::TimeSpan)'),
('nn::visrv::sf::ISystemRootService', 1, 'GetDisplayService', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IApplicationDisplayService>,void>,unsigned int)'),
('nn::visrv::sf::ISystemRootService', 3, 'GetDisplayServiceWithProxyNameExchange', '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,8>, InRaw<8,1,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IApplicationDisplayService>,void>,unsigned int,nn::vi::ProxyName)'),
('nn::visrv::sf::IApplicationRootService', 0, 'GetDisplayService', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::visrv::sf::IApplicationDisplayService>,void>,unsigned int)'),
('nn::hid::IHidDebugServer', 0, 'DeactivateDebugPad', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 1, 'SetDebugPadAutoPilotState', '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>', '(nn::hid::debug::DebugPadAutoPilotState const&)'),
('nn::hid::IHidDebugServer', 2, 'UnsetDebugPadAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 10, 'DeactivateTouchScreen', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 11, 'SetTouchScreenAutoPilotState', '0 bytes in - 0 bytes out - Buffer<0,5,0>', '(nn::sf::InArray<nn::hid::TouchState> const&)'),
('nn::hid::IHidDebugServer', 12, 'UnsetTouchScreenAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 20, 'DeactivateMouse', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 21, 'SetMouseAutoPilotState', '0x1C bytes in - 0 bytes out - InRaw<0x1C,4,0>', '(nn::hid::debug::MouseAutoPilotState const&)'),
('nn::hid::IHidDebugServer', 22, 'UnsetMouseAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 30, 'DeactivateKeyboard', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 31, 'SetKeyboardAutoPilotState', '0x28 bytes in - 0 bytes out - InRaw<0x28,8,0>', '(nn::hid::debug::KeyboardAutoPilotState const&)'),
('nn::hid::IHidDebugServer', 32, 'UnsetKeyboardAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 50, 'DeactivateXpad', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::BasicXpadId)'),
('nn::hid::IHidDebugServer', 51, 'SetXpadAutoPilotState', '0x20 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<0x1C,4,4>', '(nn::hid::BasicXpadId,nn::hid::debug::BasicXpadAutoPilotState const&)'),
('nn::hid::IHidDebugServer', 52, 'UnsetXpadAutoPilotState', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::BasicXpadId)'),
('nn::hid::IHidDebugServer', 60, 'DeactivateJoyXpad', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::JoyXpadId)'),
('nn::hid::IHidDebugServer', 91, 'DeactivateGesture', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 110, 'DeactivateHomeButton', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 111, 'SetHomeButtonAutoPilotState', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::debug::HomeButtonAutoPilotState)'),
('nn::hid::IHidDebugServer', 112, 'UnsetHomeButtonAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 120, 'DeactivateSleepButton', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 121, 'SetSleepButtonAutoPilotState', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::debug::SleepButtonAutoPilotState)'),
('nn::hid::IHidDebugServer', 122, 'UnsetSleepButtonAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 123, 'DeactivateInputDetector', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 130, 'DeactivateCaptureButton', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 131, 'SetCaptureButtonAutoPilotState', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::debug::CaptureButtonAutoPilotState)'),
('nn::hid::IHidDebugServer', 132, 'UnsetCaptureButtonAutoPilotState', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 133, 'SetShiftAccelerometerCalibrationValue', '0x18 bytes in - 0 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, InRaw<4,4,4>, InRaw<4,4,8>', '(nn::hid::SixAxisSensorHandle,nn::applet::AppletResourceUserId,float,float)'),
('nn::hid::IHidDebugServer', 134, 'GetShiftAccelerometerCalibrationValue', '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>', '(nn::sf::Out<float,void>,nn::sf::Out<float,void>,nn::hid::SixAxisSensorHandle,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidDebugServer', 135, 'SetShiftGyroscopeCalibrationValue', '0x18 bytes in - 0 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, InRaw<4,4,4>, InRaw<4,4,8>', '(nn::hid::SixAxisSensorHandle,nn::applet::AppletResourceUserId,float,float)'),
('nn::hid::IHidDebugServer', 136, 'GetShiftGyroscopeCalibrationValue', '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>', '(nn::sf::Out<float,void>,nn::sf::Out<float,void>,nn::hid::SixAxisSensorHandle,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidDebugServer', 140, 'DeactivateConsoleSixAxisSensor', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 201, 'ActivateFirmwareUpdate', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 202, 'DeactivateFirmwareUpdate', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 203, 'StartFirmwareUpdate', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::system::UniquePadId)'),
('nn::hid::IHidDebugServer', 204, 'GetFirmwareUpdateStage', '0 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>)'),
('nn::hid::IHidDebugServer', 205, 'GetFirmwareVersion', '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<nn::hid::system::FirmwareVersion,void>,unsigned int,nn::util::BitFlagSet<32,nn::hid::system::DeviceType>)'),
('nn::hid::IHidDebugServer', 206, 'GetDestinationFirmwareVersion', '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<nn::hid::system::FirmwareVersion,void>,unsigned int,nn::util::BitFlagSet<32,nn::hid::system::DeviceType>)'),
('nn::hid::IHidDebugServer', 207, 'DiscardFirmwareInfoCacheForRevert', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidDebugServer', 208, 'StartFirmwareUpdateForRevert', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::system::UniquePadId)'),
('nn::hid::IHidDebugServer', 209, 'GetAvailableFirmwareVersionForRevert', '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::hid::system::FirmwareVersion,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidDebugServer', 221, 'UpdateControllerColor', '0x10 bytes in - 0 bytes out - InRaw<4,1,0>, InRaw<4,1,4>, InRaw<8,8,8>', '(nn::util::Unorm8x4,nn::util::Unorm8x4,nn::hid::system::UniquePadId)'),
('nn::hid::IHidServer', 0, 'CreateAppletResource', '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::hid::IAppletResource>,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 1, 'ActivateDebugPad', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 11, 'ActivateTouchScreen', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 21, 'ActivateMouse', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 31, 'ActivateKeyboard', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 40, 'AcquireXpadIdEventHandle', '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned long)'),
('nn::hid::IHidServer', 41, 'ReleaseXpadIdEventHandle', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(unsigned long)'),
('nn::hid::IHidServer', 51, 'ActivateXpad', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::BasicXpadId)'),
('nn::hid::IHidServer', 55, 'GetXpadIds', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::BasicXpadId> const&)'),
('nn::hid::IHidServer', 56, 'ActivateJoyXpad', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::JoyXpadId)'),
('nn::hid::IHidServer', 58, 'GetJoyXpadLifoHandle', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::hid::JoyXpadId)'),
('nn::hid::IHidServer', 59, 'GetJoyXpadIds', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::JoyXpadId> const&)'),
('nn::hid::IHidServer', 60, 'ActivateSixAxisSensor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::BasicXpadId)'),
('nn::hid::IHidServer', 61, 'DeactivateSixAxisSensor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::BasicXpadId)'),
('nn::hid::IHidServer', 62, 'GetSixAxisSensorLifoHandle', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::hid::BasicXpadId)'),
('nn::hid::IHidServer', 63, 'ActivateJoySixAxisSensor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::JoyXpadId)'),
('nn::hid::IHidServer', 64, 'DeactivateJoySixAxisSensor', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::JoyXpadId)'),
('nn::hid::IHidServer', 65, 'GetJoySixAxisSensorLifoHandle', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::hid::JoyXpadId)'),
('nn::hid::IHidServer', 66, 'StartSixAxisSensor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 67, 'StopSixAxisSensor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 68, 'IsSixAxisSensorFusionEnabled', '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 69, 'EnableSixAxisSensorFusion', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,4>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle,bool)'),
('nn::hid::IHidServer', 70, 'SetSixAxisSensorFusionParameters', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle,float,float)'),
('nn::hid::IHidServer', 71, 'GetSixAxisSensorFusionParameters', '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<float,void>,nn::sf::Out<float,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 72, 'ResetSixAxisSensorFusionParameters', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 73, 'SetAccelerometerParameters', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle,float,float)'),
('nn::hid::IHidServer', 74, 'GetAccelerometerParameters', '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<float,void>,nn::sf::Out<float,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 75, 'ResetAccelerometerParameters', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 76, 'SetAccelerometerPlayMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle,unsigned int)'),
('nn::hid::IHidServer', 77, 'GetAccelerometerPlayMode', '0x10 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 78, 'ResetAccelerometerPlayMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 79, 'SetGyroscopeZeroDriftMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle,unsigned int)'),
('nn::hid::IHidServer', 80, 'GetGyroscopeZeroDriftMode', '0x10 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 81, 'ResetGyroscopeZeroDriftMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 82, 'IsSixAxisSensorAtRest', '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::applet::AppletResourceUserId,nn::hid::SixAxisSensorHandle)'),
('nn::hid::IHidServer', 91, 'ActivateGesture', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,int)'),
('nn::hid::IHidServer', 100, 'SetSupportedNpadStyleSet', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::util::BitFlagSet<32,nn::hid::NpadStyleTag>)'),
('nn::hid::IHidServer', 101, 'GetSupportedNpadStyleSet', '8 bytes in - 4 bytes out - takes pid - InRaw<8,8,0>, OutRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::sf::Out<nn::util::BitFlagSet<32,nn::hid::NpadStyleTag>,void>)'),
('nn::hid::IHidServer', 102, 'SetSupportedNpadIdType', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, Buffer<0,9,0>', '(nn::applet::AppletResourceUserId,nn::sf::InArray<unsigned int> const&)'),
('nn::hid::IHidServer', 103, 'ActivateNpad', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 104, 'DeactivateNpad', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 106, 'AcquireNpadStyleSetUpdateEventHandle', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<8,8,0x10>', '(nn::applet::AppletResourceUserId,nn::sf::Out<nn::sf::NativeHandle,void>,unsigned int,unsigned long)'),
('nn::hid::IHidServer', 107, 'DisconnectNpad', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,unsigned int)'),
('nn::hid::IHidServer', 108, 'GetPlayerLedPattern', '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>', '(nn::sf::Out<unsigned long,void>,unsigned int)'),
('nn::hid::IHidServer', 120, 'SetNpadJoyHoldType', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::applet::AppletResourceUserId,long)'),
('nn::hid::IHidServer', 121, 'GetNpadJoyHoldType', '8 bytes in - 8 bytes out - takes pid - InRaw<8,8,0>, OutRaw<8,8,0>', '(nn::applet::AppletResourceUserId,nn::sf::Out<long,void>)'),
('nn::hid::IHidServer', 122, 'SetNpadJoyAssignmentModeSingleByDefault', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,unsigned int)'),
('nn::hid::IHidServer', 123, 'SetNpadJoyAssignmentModeSingle', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>', '(nn::applet::AppletResourceUserId,unsigned int,long)'),
('nn::hid::IHidServer', 124, 'SetNpadJoyAssignmentModeDual', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,unsigned int)'),
('nn::hid::IHidServer', 125, 'MergeSingleJoyAsDualJoy', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::applet::AppletResourceUserId,unsigned int,unsigned int)'),
('nn::hid::IHidServer', 126, 'StartLrAssignmentMode', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 127, 'StopLrAssignmentMode', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 128, 'SetNpadHandheldActivationMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::applet::AppletResourceUserId,long)'),
('nn::hid::IHidServer', 129, 'GetNpadHandheldActivationMode', '8 bytes in - 8 bytes out - takes pid - InRaw<8,8,0>, OutRaw<8,8,0>', '(nn::applet::AppletResourceUserId,nn::sf::Out<long,void>)'),
('nn::hid::IHidServer', 130, 'SwapNpadAssignment', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::applet::AppletResourceUserId,unsigned int,unsigned int)'),
('nn::hid::IHidServer', 131, 'IsUnintendedHomeButtonInputProtectionEnabled', '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::applet::AppletResourceUserId,unsigned int)'),
('nn::hid::IHidServer', 132, 'EnableUnintendedHomeButtonInputProtection', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,4>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,unsigned int,bool)'),
('nn::hid::IHidServer', 200, 'GetVibrationDeviceInfo', '4 bytes in - 8 bytes out - OutRaw<8,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::hid::VibrationDeviceInfoForIpc,void>,nn::hid::VibrationDeviceHandle)'),
('nn::hid::IHidServer', 201, 'SendVibrationValue', '0x20 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,4,4>', '(nn::applet::AppletResourceUserId,nn::hid::VibrationDeviceHandle,nn::hid::VibrationValue const&)'),
('nn::hid::IHidServer', 202, 'GetActualVibrationValue', '0x10 bytes in - 0x10 bytes out - takes pid - OutRaw<0x10,4,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<nn::hid::VibrationValue,void>,nn::applet::AppletResourceUserId,nn::hid::VibrationDeviceHandle)'),
('nn::hid::IHidServer', 203, 'CreateActiveVibrationDeviceList', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::hid::IActiveVibrationDeviceList>,void>)'),
('nn::hid::IHidServer', 204, 'PermitVibration', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::hid::IHidServer', 205, 'IsVibrationPermitted', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::hid::IHidServer', 206, 'SendVibrationValues', '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,9,0>, Buffer<1,9,0>', '(nn::applet::AppletResourceUserId,nn::sf::InArray<nn::hid::VibrationDeviceHandle> const&,nn::sf::InArray<nn::hid::VibrationValue> const&)'),
('nn::hid::IHidServer', 300, 'ActivateConsoleSixAxisSensor', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidServer', 301, 'StartConsoleSixAxisSensor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::ConsoleSixAxisSensorHandle)'),
('nn::hid::IHidServer', 302, 'StopConsoleSixAxisSensor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::hid::ConsoleSixAxisSensorHandle)'),
('nn::hid::IHidServer', 400, 'IsUsbFullKeyControllerEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::hid::IHidServer', 401, 'EnableUsbFullKeyController', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::hid::IHidServer', 402, 'IsUsbFullKeyControllerConnected', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,unsigned int)'),
('nn::hid::IHidServer', 1000, 'SetNpadCommunicationMode', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::applet::AppletResourceUserId,long)'),
('nn::hid::IHidServer', 1001, 'GetNpadCommunicationMode', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::hid::IAppletResource', 0, 'GetSharedMemoryHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IActiveVibrationDeviceList', 0, 'ActivateVibrationDevice', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::VibrationDeviceHandle)'),
('nn::hid::IHidSystemServer', 31, 'SendKeyboardLockKeyEvent', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::util::BitFlagSet<32,nn::hid::system::KeyboardLockKeyEvent>)'),
('nn::hid::IHidSystemServer', 101, 'AcquireHomeButtonEventHandle', '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 111, 'ActivateHomeButton', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 121, 'AcquireSleepButtonEventHandle', '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 131, 'ActivateSleepButton', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 141, 'AcquireCaptureButtonEventHandle', '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 151, 'ActivateCaptureButton', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 210, 'AcquireNfcDeviceUpdateEventHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 211, 'GetNpadsWithNfc', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<unsigned int> const&)'),
('nn::hid::IHidSystemServer', 212, 'AcquireNfcActivateEventHandle', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned int)'),
('nn::hid::IHidSystemServer', 213, 'ActivateNfc', '0x10 bytes in - 0 bytes out - takes pid - InRaw<4,4,4>, InRaw<1,1,0>, InRaw<8,8,8>', '(unsigned int,bool,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 230, 'AcquireIrSensorEventHandle', '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,unsigned int)'),
('nn::hid::IHidSystemServer', 231, 'ActivateIrSensor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<4,4,4>, InRaw<1,1,0>, InRaw<8,8,8>', '(unsigned int,bool,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 301, 'ActivateNpadSystem', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(unsigned int)'),
('nn::hid::IHidSystemServer', 303, 'ApplyNpadSystemCommonPolicy', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 304, 'EnableAssigningSingleOnSlSrPress', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 305, 'DisableAssigningSingleOnSlSrPress', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 306, 'GetLastActiveNpad', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::hid::IHidSystemServer', 307, 'GetNpadSystemExtStyle', '4 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<long,void>,nn::sf::Out<long,void>,unsigned int)'),
('nn::hid::IHidSystemServer', 311, 'SetNpadPlayerLedBlinkingDevice', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::applet::AppletResourceUserId,unsigned int,nn::util::BitFlagSet<32,nn::hid::system::DeviceType>)'),
('nn::hid::IHidSystemServer', 321, 'GetUniquePadsFromNpad', '4 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>, InRaw<4,4,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::system::UniquePadId> const&,unsigned int)'),
('nn::hid::IHidSystemServer', 322, 'GetIrSensorState', '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, OutRaw<8,8,0>, InRaw<8,8,8>', '(unsigned int,nn::sf::Out<long,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 323, 'GetXcdHandleForNpadWithIrSensor', '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, OutRaw<8,8,0>, InRaw<8,8,8>', '(unsigned int,nn::sf::Out<unsigned long,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 500, 'SetAppletResourceUserId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 501, 'RegisterAppletResourceUserId', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::hid::IHidSystemServer', 502, 'UnregisterAppletResourceUserId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 503, 'EnableAppletToGetInput', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::hid::IHidSystemServer', 504, 'SetAruidValidForVibration', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::hid::IHidSystemServer', 505, 'EnableAppletToGetSixAxisSensor', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::hid::IHidSystemServer', 510, 'SetVibrationMasterVolume', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(float)'),
('nn::hid::IHidSystemServer', 511, 'GetVibrationMasterVolume', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<float,void>)'),
('nn::hid::IHidSystemServer', 512, 'BeginPermitVibrationSession', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 513, 'EndPermitVibrationSession', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidSystemServer', 520, 'EnableHandheldHids', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidSystemServer', 521, 'DisableHandheldHids', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidSystemServer', 540, 'AcquirePlayReportControllerUsageUpdateEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 541, 'GetPlayReportControllerUsages', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::system::PlayReportControllerUsage> const&)'),
('nn::hid::IHidSystemServer', 542, 'AcquirePlayReportRegisteredDeviceUpdateEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 543, 'GetRegisteredDevices', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::system::RegisteredDevice> const&)'),
('nn::hid::IHidSystemServer', 544, 'AcquireConnectionTriggerTimeoutEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 545, 'SendConnectionTrigger', '6 bytes in - 0 bytes out - InRaw<6,1,0>', '(nn::bluetooth::Address)'),
('nn::hid::IHidSystemServer', 546, 'AcquireDeviceRegisteredEventForControllerSupport', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 547, 'GetAllowedBluetoothLinksCount', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', '(nn::sf::Out<long,void>)'),
('nn::hid::IHidSystemServer', 700, 'ActivateUniquePad', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::applet::AppletResourceUserId,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 702, 'AcquireUniquePadConnectionEventHandle', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::hid::IHidSystemServer', 703, 'GetUniquePadIds', '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::system::UniquePadId> const&)'),
('nn::hid::IHidSystemServer', 751, 'AcquireJoyDetachOnBluetoothOffEventHandle', '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 800, 'ListSixAxisSensorHandles', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::sf::OutArray<nn::hid::system::UniqueSixAxisSensorHandle> const&,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 801, 'IsSixAxisSensorUserCalibrationSupported', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,nn::hid::system::UniqueSixAxisSensorHandle)'),
('nn::hid::IHidSystemServer', 802, 'ResetSixAxisSensorCalibrationValues', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::system::UniqueSixAxisSensorHandle)'),
('nn::hid::IHidSystemServer', 803, 'StartSixAxisSensorUserCalibration', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::system::UniqueSixAxisSensorHandle)'),
('nn::hid::IHidSystemServer', 804, 'CancelSixAxisSensorUserCalibration', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::hid::system::UniqueSixAxisSensorHandle)'),
('nn::hid::IHidSystemServer', 805, 'GetUniquePadBluetoothAddress', '8 bytes in - 6 bytes out - OutRaw<6,1,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::bluetooth::Address,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 806, 'DisconnectUniquePad', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 821, 'StartAnalogStickManualCalibration', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::hid::system::UniquePadId,long)'),
('nn::hid::IHidSystemServer', 822, 'RetryCurrentAnalogStickManualCalibrationStage', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::hid::system::UniquePadId,long)'),
('nn::hid::IHidSystemServer', 823, 'CancelAnalogStickManualCalibration', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::hid::system::UniquePadId,long)'),
('nn::hid::IHidSystemServer', 824, 'ResetAnalogStickManualCalibration', '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>', '(nn::hid::system::UniquePadId,long)'),
('nn::hid::IHidSystemServer', 850, 'IsUsbFullKeyControllerEnabled', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::hid::IHidSystemServer', 851, 'EnableUsbFullKeyController', '1 bytes in - 0 bytes out - InRaw<1,1,0>', '(bool)'),
('nn::hid::IHidSystemServer', 852, 'IsUsbConnected', '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>', '(nn::sf::Out<bool,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 900, 'ActivateInputDetector', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::hid::IHidSystemServer', 901, 'NotifyInputDetector', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::util::BitFlagSet<32,nn::hid::system::InputSourceId>)'),
('nn::hid::IHidSystemServer', 1000, 'InitializeFirmwareUpdate', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidSystemServer', 1001, 'GetFirmwareVersion', '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::hid::system::FirmwareVersion,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 1002, 'GetAvailableFirmwareVersion', '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::hid::system::FirmwareVersion,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 1003, 'IsFirmwareUpdateAvailable', '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>', '(nn::sf::Out<bool,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 1004, 'CheckFirmwareUpdateRequired', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<long,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 1005, 'StartFirmwareUpdate', '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::hid::system::FirmwareUpdateDeviceHandle,void>,nn::hid::system::UniquePadId)'),
('nn::hid::IHidSystemServer', 1006, 'AbortFirmwareUpdate', '0 bytes in - 0 bytes out', '(void)'),
('nn::hid::IHidSystemServer', 1007, 'GetFirmwareUpdateState', '8 bytes in - 4 bytes out - OutRaw<4,1,0>, InRaw<8,8,0>', '(nn::sf::Out<nn::hid::system::FirmwareUpdateState,void>,nn::hid::system::FirmwareUpdateDeviceHandle)'),
('nn::hid::IHidTemporaryServer', 0, 'GetConsoleSixAxisSensorCalibrationValues', '0x10 bytes in - 0x18 bytes out - takes pid - OutRaw<0x18,2,0>, InRaw<8,8,8>, InRaw<4,4,0>', '(nn::sf::Out<nn::hid::tmp::ConsoleSixAxisSensorCalibrationValues,void>,nn::applet::AppletResourceUserId,nn::hid::ConsoleSixAxisSensorHandle)'),
('nn::irsensor::IIrSensorServer', 302, 'ActivateIrsensor', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::irsensor::IIrSensorServer', 303, 'DeactivateIrsensor', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::irsensor::IIrSensorServer', 304, 'GetIrsensorSharedMemoryHandle', '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::applet::AppletResourceUserId)'),
('nn::irsensor::IIrSensorServer', 305, 'StopImageProcessor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle)'),
('nn::irsensor::IIrSensorServer', 306, 'RunMomentProcessor', '0x30 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x20,8,0x10>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedMomentProcessorConfig const&)'),
('nn::irsensor::IIrSensorServer', 307, 'RunClusteringProcessor', '0x38 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x28,8,0x10>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedClusteringProcessorConfig const&)'),
('nn::irsensor::IIrSensorServer', 308, 'RunImageTransferProcessor', '0x30 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x18,8,0x10>, InHandle<0,1>, InRaw<8,8,0x28>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedImageTransferProcessorConfig const&,nn::sf::NativeHandle &&,unsigned long)'),
('nn::irsensor::IIrSensorServer', 309, 'GetImageTransferProcessorState', '0x10 bytes in - 0x10 bytes out - takes pid - InRaw<8,8,8>, OutRaw<0x10,8,0>, Buffer<0,6,0>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::sf::Out<nn::irsensor::ImageTransferProcessorState,void>,nn::sf::OutBuffer const&,nn::irsensor::IrCameraHandle)'),
('nn::irsensor::IIrSensorServer', 310, 'RunTeraPluginProcessor', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<8,2,4>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedTeraPluginProcessorConfig)'),
('nn::irsensor::IIrSensorServer', 311, 'GetNpadIrCameraHandle', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::irsensor::IrCameraHandle,void>,unsigned int)'),
('nn::irsensor::IIrSensorServer', 312, 'RunDpdProcessor', '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<0xC,2,4>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedDpdProcessorConfig const&)'),
('nn::irsensor::IIrSensorServer', 313, 'SuspendImageProcessor', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle)'),
('nn::irsensor::IIrSensorServer', 314, 'CheckFirmwareVersion', '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,2,4>', '(nn::applet::AppletResourceUserId,nn::irsensor::IrCameraHandle,nn::irsensor::PackedMcuVersion)'),
('nn::irsensor::IIrSensorSystemServer', 500, 'SetAppletResourceUserId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::irsensor::IIrSensorSystemServer', 501, 'RegisterAppletResourceUserId', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::irsensor::IIrSensorSystemServer', 502, 'UnregisterAppletResourceUserId', '8 bytes in - 0 bytes out - InRaw<8,8,0>', '(nn::applet::AppletResourceUserId)'),
('nn::irsensor::IIrSensorSystemServer', 503, 'EnableAppletToGetInput', '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>', '(nn::applet::AppletResourceUserId,bool)'),
('nn::capsrv::sf::IScreenShotApplicationService', 201, 'SaveScreenShot', '0x10 bytes in - 0x20 bytes out - takes pid - OutRaw<0x20,1,0>, Buffer<0,0x45,0>, InRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,4>', '(nn::sf::Out<nn::capsrv::ApplicationAlbumEntry,void>,nn::sf::InBuffer const&,unsigned int,nn::applet::AppletResourceUserId,unsigned int)'),
('nn::capsrv::sf::IScreenShotApplicationService', 203, 'SaveScreenShotEx0', '0x50 bytes in - 0x20 bytes out - takes pid - OutRaw<0x20,1,0>, Buffer<0,0x45,0>, InRaw<0x40,4,0>, InRaw<8,8,0x48>, InRaw<4,4,0x40>', '(nn::sf::Out<nn::capsrv::ApplicationAlbumEntry,void>,nn::sf::InBuffer const&,nn::capsrv::detail::ScreenShotAttributeEx0 const&,nn::applet::AppletResourceUserId,unsigned int)'),
('nn::ldn::detail::IUserServiceCreator', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 1, '', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 2, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 3, '', '0 bytes in - 2 bytes out - OutRaw<2,2,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 4, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 5, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 100, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 101, '', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>, Buffer<1,0xA,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 102, '', '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 103, '', '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 200, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 201, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 202, '', '0x98 bytes in - 0 bytes out - InRaw<0x20,8,0x78>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 203, '', '0xB8 bytes in - 0 bytes out - InRaw<0x20,8,0x98>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, Buffer<0,9,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 204, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 205, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 206, '', '0 bytes in - 0 bytes out - Buffer<0,0x21,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 207, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 208, '', '6 bytes in - 0 bytes out - InRaw<6,1,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 209, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 300, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 301, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 302, '', '0x7C bytes in - 0 bytes out - Buffer<0,0x19,0x480>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>, InRaw<4,4,0x74>, InRaw<4,4,0x78>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 303, '', '0xC0 bytes in - 0 bytes out - InRaw<0x20,8,0xA0>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, InRaw<4,4,0x94>, InRaw<4,4,0x98>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 304, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 400, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::ldn::detail::IUserLocalCommunicationService', 401, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IMonitorServiceCreator', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::ldn::detail::IMonitorService', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::ldn::detail::IMonitorService', 1, '', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>', ''),
('nn::ldn::detail::IMonitorService', 2, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::ldn::detail::IMonitorService', 3, '', '0 bytes in - 2 bytes out - OutRaw<2,2,0>', ''),
('nn::ldn::detail::IMonitorService', 4, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::ldn::detail::IMonitorService', 5, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', ''),
('nn::ldn::detail::IMonitorService', 100, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::IMonitorService', 101, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemServiceCreator', 0, '', '0 bytes in - 0 bytes out - OutObject<0,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 0, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 1, '', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 2, '', '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 3, '', '0 bytes in - 2 bytes out - OutRaw<2,2,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 4, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 5, '', '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 100, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 101, '', '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>, Buffer<1,0xA,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 102, '', '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 103, '', '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 200, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 201, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 202, '', '0x98 bytes in - 0 bytes out - InRaw<0x20,8,0x78>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 203, '', '0xB8 bytes in - 0 bytes out - InRaw<0x20,8,0x98>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, Buffer<0,9,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 204, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 205, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 206, '', '0 bytes in - 0 bytes out - Buffer<0,0x21,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 207, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 208, '', '6 bytes in - 0 bytes out - InRaw<6,1,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 209, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 300, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 301, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 302, '', '0x7C bytes in - 0 bytes out - Buffer<0,0x19,0x480>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>, InRaw<4,4,0x74>, InRaw<4,4,0x78>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 303, '', '0xC0 bytes in - 0 bytes out - InRaw<0x20,8,0xA0>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, InRaw<4,4,0x94>, InRaw<4,4,0x98>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 304, '', '0 bytes in - 0 bytes out', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 400, '', '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>', ''),
('nn::ldn::detail::ISystemLocalCommunicationService', 401, '', '0 bytes in - 0 bytes out', ''),
('nn::fgm::sf::ISession', 0, 'Initialize', '0 bytes in - 0 bytes out - OutObject<0,0>', '(nn::sf::Out<nn::sf::SharedPointer<nn::fgm::sf::IRequest>,void>)'),
('nn::fgm::sf::IRequest', 0, 'Initialize', '0x10 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<4,4,0>, InRaw<8,8,8>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::fgm::Module,unsigned long)'),
('nn::fgm::sf::IRequest', 1, 'Set', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(unsigned int,unsigned int)'),
('nn::fgm::sf::IRequest', 2, 'Get', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::fgm::sf::IRequest', 3, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::fgm::sf::IDebugger', 0, 'Initialize', '8 bytes in - 0 bytes out - OutHandle<0,1>, InHandle<0,1>, InRaw<8,8,0>', '(nn::sf::Out<nn::sf::NativeHandle,void>,nn::sf::NativeHandle&&,unsigned long)'),
('nn::fgm::sf::IDebugger', 1, 'Read', '0 bytes in - 0xC bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>', '(nn::sf::OutBuffer const&,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>,nn::sf::Out<unsigned int,void>)'),
('nn::fgm::sf::IDebugger', 2, 'Cancel', '0 bytes in - 0 bytes out', '(void)'),
('nn::gpio::IManager', 0, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::gpio::IManager', 1, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::gpio::IManager', 2, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::gpio::IManager', 3, '', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', ''),
('nn::gpio::IManager', 4, '', '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>', ''),
('nn::gpio::IManager', 5, '', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', ''),
('nn::gpio::IManager', 6, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::gpio::IPadSession', 0, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 1, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 2, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 3, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 4, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::gpio::IPadSession', 5, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::gpio::IPadSession', 6, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 7, '', '0 bytes in - 0 bytes out', ''),
('nn::gpio::IPadSession', 8, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 9, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 10, '', '0 bytes in - 0 bytes out - OutHandle<0,1>', ''),
('nn::gpio::IPadSession', 11, '', '0 bytes in - 0 bytes out', ''),
('nn::gpio::IPadSession', 12, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::gpio::IPadSession', 13, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
('nn::gpio::IPadSession', 14, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::gpio::IPadSession', 15, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::i2c::IManager', 0, '', '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,4>, InRaw<2,2,0>, InRaw<4,4,8>, InRaw<4,4,0xC>', ''),
('nn::i2c::IManager', 1, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::i2c::IManager', 2, '', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', ''),
('nn::i2c::IManager', 3, '', '0x10 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,4>, InRaw<2,2,0>, InRaw<4,4,8>, InRaw<4,4,0xC>', ''),
('nn::i2c::ISession', 0, '', '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>', ''),
('nn::i2c::ISession', 1, '', '4 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<4,4,0>', ''),
('nn::i2c::ISession', 2, '', '0 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,9,0>', ''),
('nn::i2c::ISession', 10, '', '4 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<4,4,0>', ''),
('nn::i2c::ISession', 11, '', '4 bytes in - 0 bytes out - Buffer<0,0x22,0>, InRaw<4,4,0>', ''),
('nn::i2c::ISession', 12, '', '0 bytes in - 0 bytes out - Buffer<0,0x22,0>, Buffer<1,9,0>', ''),
('nn::pcv::detail::IPcvService', 0, 'SetPowerEnabled', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(int,bool)'),
('nn::pcv::detail::IPcvService', 1, 'SetClockEnabled', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(int,bool)'),
('nn::pcv::detail::IPcvService', 2, 'SetClockRate', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(int,unsigned int)'),
('nn::pcv::detail::IPcvService', 3, 'GetClockRate', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>,int)'),
('nn::pcv::detail::IPcvService', 4, 'GetState', '4 bytes in - 0xC bytes out - OutRaw<0xC,4,0>, InRaw<4,4,0>', '(nn::sf::Out<nn::pcv::ModuleState,void>,int)'),
('nn::pcv::detail::IPcvService', 5, 'GetPossibleClockRates', '8 bytes in - 8 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::Out<int,void>,nn::sf::OutArray<unsigned int> const&,nn::sf::Out<int,void>,int,int)'),
('nn::pcv::detail::IPcvService', 6, 'SetMinVClockRate', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(int,unsigned int)'),
('nn::pcv::detail::IPcvService', 7, 'SetReset', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(int,bool)'),
('nn::pcv::detail::IPcvService', 8, 'SetVoltageEnabled', '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>', '(int,bool)'),
('nn::pcv::detail::IPcvService', 9, 'GetVoltageEnabled', '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>', '(nn::sf::Out<bool,void>,int)'),
('nn::pcv::detail::IPcvService', 10, 'GetVoltageRange', '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,nn::sf::Out<int,void>,nn::sf::Out<int,void>,int)'),
('nn::pcv::detail::IPcvService', 11, 'SetVoltageValue', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(int,int)'),
('nn::pcv::detail::IPcvService', 12, 'GetVoltageValue', '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::Out<int,void>,int)'),
('nn::pcv::detail::IPcvService', 13, 'GetTemperatureThresholds', '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::OutArray<nn::pcv::TemperatureThreshold> const&,nn::sf::Out<int,void>,int)'),
('nn::pcv::detail::IPcvService', 14, 'SetTemperature', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::pcv::detail::IPcvService', 15, 'Initialize', '0 bytes in - 0 bytes out', '(void)'),
('nn::pcv::detail::IPcvService', 16, 'IsInitialized', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', '(nn::sf::Out<bool,void>)'),
('nn::pcv::detail::IPcvService', 17, 'Finalize', '0 bytes in - 0 bytes out', '(void)'),
('nn::pcv::detail::IPcvService', 18, 'PowerOn', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(nn::pcv::PowerControlTarget,int)'),
('nn::pcv::detail::IPcvService', 19, 'PowerOff', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(nn::pcv::PowerControlTarget)'),
('nn::pcv::detail::IPcvService', 20, 'ChangeVoltage', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(nn::pcv::PowerControlTarget,int)'),
('nn::pcv::detail::IPcvService', 21, 'GetPowerClockInfoEvent', '0 bytes in - 0 bytes out - OutHandle<0,1>', '(nn::sf::Out<nn::sf::NativeHandle,void>)'),
('nn::pcv::detail::IPcvService', 22, 'GetOscillatorClock', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', '(nn::sf::Out<unsigned int,void>)'),
('nn::pcv::detail::IPcvService', 23, 'GetDvfsTable', '8 bytes in - 4 bytes out - Buffer<0,0xA,0>, Buffer<1,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>, InRaw<4,4,4>', '(nn::sf::OutArray<unsigned int> const&,nn::sf::OutArray<int> const&,nn::sf::Out<int,void>,int,int)'),
('nn::pcv::detail::IPcvService', 24, 'GetModuleStateTable', '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::OutArray<nn::pcv::ModuleState> const&,nn::sf::Out<int,void>,int)'),
('nn::pcv::detail::IPcvService', 25, 'GetPowerDomainStateTable', '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::OutArray<nn::pcv::PowerDomainState> const&,nn::sf::Out<int,void>,int)'),
('nn::pcv::detail::IPcvService', 26, 'GetFuseInfo', '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>', '(nn::sf::OutArray<unsigned int> const&,nn::sf::Out<int,void>,int)'),
('nn::pcv::IImmediateManager', 0, 'SetClockRate', '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>', '(int,unsigned int)'),
('nn::pcv::IArbitrationManager', 0, 'ReleaseControl', '4 bytes in - 0 bytes out - InRaw<4,4,0>', '(int)'),
('nn::pwm::IManager', 0, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::pwm::IManager', 1, '', '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>', ''),
('nn::pwm::IChannelSession', 0, '', '8 bytes in - 0 bytes out - InRaw<8,8,0>', ''),
('nn::pwm::IChannelSession', 1, '', '0 bytes in - 8 bytes out - OutRaw<8,8,0>', ''),
('nn::pwm::IChannelSession', 2, '', '4 bytes in - 0 bytes out - InRaw<4,4,0>', ''),
('nn::pwm::IChannelSession', 3, '', '0 bytes in - 4 bytes out - OutRaw<4,4,0>', ''),
('nn::pwm::IChannelSession', 4, '', '1 bytes in - 0 bytes out - InRaw<1,1,0>', ''),
('nn::pwm::IChannelSession', 5, '', '0 bytes in - 1 bytes out - OutRaw<1,1,0>', ''),
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('nn::account::IAccountServiceForSystemService', 2, '0 bytes in - 0 bytes out - Buffer<0,0xA,0>'),
('nn::account::IAccountServiceForSystemService', 3, '0 bytes in - 0 bytes out - Buffer<0,0xA,0>'),
('nn::account::IAccountServiceForSystemService', 4, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 5, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 6, '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 50, '8 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::account::IAccountServiceForSystemService', 51, '1 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<1,1,0>'),
('nn::account::IAccountServiceForSystemService', 100, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::IAccountServiceForSystemService', 101, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::IAccountServiceForSystemService', 102, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 103, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::IAccountServiceForSystemService', 104, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::IAccountServiceForSystemService', 110, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,5,0>'),
('nn::account::IAccountServiceForSystemService', 111, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::account::IAccountServiceForSystemService', 112, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::account::IAccountServiceForSystemService', 190, '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,8>, OutRaw<4,4,0>, InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 997, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 998, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::account::IAccountServiceForSystemService', 999, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::account::IBaasAccessTokenAccessor', 0, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::account::IBaasAccessTokenAccessor', 1, '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,0>'),
('nn::account::IBaasAccessTokenAccessor', 2, '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x10,8,0>'),
('nn::account::IBaasAccessTokenAccessor', 50, '0x38 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0x28>, InRaw<0x28,1,0>'),
('nn::account::IBaasAccessTokenAccessor', 51, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::account::baas::IAdministrator', 0, '0 bytes in - 0 bytes out'),
('nn::account::baas::IAdministrator', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IAdministrator', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IAdministrator', 100, '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>'),
('nn::account::baas::IAdministrator', 120, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IAdministrator', 130, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x24F>, Buffer<1,6,0>'),
('nn::account::baas::IAdministrator', 131, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 132, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>'),
('nn::account::baas::IAdministrator', 150, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x108>, Buffer<1,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>'),
('nn::account::baas::IAdministrator', 200, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::account::baas::IAdministrator', 201, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 202, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 203, '0 bytes in - 0 bytes out'),
('nn::account::baas::IAdministrator', 220, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 221, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 222, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>'),
('nn::account::baas::IAdministrator', 250, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::account::baas::IAdministrator', 251, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 252, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>'),
('nn::account::baas::IAdministrator', 255, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 256, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>'),
('nn::account::baas::IAdministrator', 260, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 261, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>'),
('nn::account::baas::IAdministrator', 280, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,4,0>'),
('nn::account::baas::IAdministrator', 997, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IAdministrator', 998, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 0, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 12, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 13, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 14, '0 bytes in - 0 bytes out - Buffer<0,0xA,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 15, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 100, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, OutObject<0,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 101, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 110, '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>'),
('nn::account::baas::IFloatingRegistrationRequest', 111, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IGuestLoginRequest', 0, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::baas::IGuestLoginRequest', 12, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IGuestLoginRequest', 13, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IGuestLoginRequest', 14, '0 bytes in - 0 bytes out - Buffer<0,0xA,0>'),
('nn::account::baas::IGuestLoginRequest', 15, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IGuestLoginRequest', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IManagerForApplication', 0, '0 bytes in - 0 bytes out'),
('nn::account::baas::IManagerForApplication', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IManagerForApplication', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IManagerForApplication', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IManagerForApplication', 130, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x68>, Buffer<1,6,0>'),
('nn::account::baas::IManagerForApplication', 150, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>'),
('nn::account::baas::IManagerForSystemService', 0, '0 bytes in - 0 bytes out'),
('nn::account::baas::IManagerForSystemService', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IManagerForSystemService', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IManagerForSystemService', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::baas::IManagerForSystemService', 100, '8 bytes in - 0 bytes out - takes pid - Buffer<0,0x19,0x10>, InRaw<8,8,0>'),
('nn::account::baas::IManagerForSystemService', 120, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::baas::IManagerForSystemService', 130, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x1A,0x24F>, Buffer<1,6,0>'),
('nn::account::baas::IManagerForSystemService', 131, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::baas::IManagerForSystemService', 132, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, OutObject<0,0>, InRaw<4,4,0>'),
('nn::account::baas::IManagerForSystemService', 150, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x108>, Buffer<1,0x19,0x200>, InHandle<0,1>, InRaw<4,4,0>'),
('nn::account::detail::IAsyncContext', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::account::detail::IAsyncContext', 1, '0 bytes in - 0 bytes out'),
('nn::account::detail::IAsyncContext', 2, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::account::detail::IAsyncContext', 3, '0 bytes in - 0 bytes out'),
('nn::account::detail::INotifier', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::account::detail::ISessionObject', 999, '0 bytes in - 0 bytes out'),
('nn::account::http::IOAuthProcedure', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::http::IOAuthProcedure', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>'),
('nn::account::http::IOAuthProcedure', 2, '0 bytes in - 0 bytes out - Buffer<0,9,0>'),
('nn::account::http::IOAuthProcedure', 3, '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>'),
('nn::account::http::IOAuthProcedure', 10, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::nas::IAuthorizationRequest', 0, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::nas::IAuthorizationRequest', 10, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::nas::IAuthorizationRequest', 19, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::account::nas::IAuthorizationRequest', 20, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::nas::IAuthorizationRequest', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::nas::IAuthorizationRequest', 22, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x80>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 2, '0 bytes in - 0 bytes out - Buffer<0,9,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 3, '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 10, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 100, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 101, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 102, '0 bytes in - 0 bytes out - Buffer<0,0xA,0>'),
('nn::account::nas::IOAuthProcedureForExternalNsa', 103, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 2, '0 bytes in - 0 bytes out - Buffer<0,9,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 3, '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,9,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 10, '0 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 100, '4 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>, Buffer<1,0x1A,0x100>, InRaw<4,4,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 101, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::account::nas::IOAuthProcedureForNintendoAccountLinkage', 199, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x1000>'),
('nn::account::profile::IProfile', 0, '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>, Buffer<0,0x1A,0x80>'),
('nn::account::profile::IProfile', 1, '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>'),
('nn::account::profile::IProfile', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::account::profile::IProfile', 11, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::profile::IProfileEditor', 0, '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>, Buffer<0,0x1A,0x80>'),
('nn::account::profile::IProfileEditor', 1, '0 bytes in - 0x38 bytes out - OutRaw<0x38,8,0>'),
('nn::account::profile::IProfileEditor', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::account::profile::IProfileEditor', 11, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::account::profile::IProfileEditor', 100, '0x38 bytes in - 0 bytes out - InRaw<0x38,8,0>, Buffer<0,0x19,0x80>'),
('nn::account::profile::IProfileEditor', 101, '0x38 bytes in - 0 bytes out - InRaw<0x38,8,0>, Buffer<0,0x19,0x80>, Buffer<1,5,0>'),
('nn::am::service::IAllSystemAppletProxiesService', 100, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::am::service::IAllSystemAppletProxiesService', 200, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::am::service::IAllSystemAppletProxiesService', 201, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>, Buffer<0,0x15,0x80>'),
('nn::am::service::IAllSystemAppletProxiesService', 300, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::am::service::IAllSystemAppletProxiesService', 350, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::am::service::IAllSystemAppletProxiesService', 400, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::am::service::IAppletAccessor', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::am::service::IAppletAccessor', 1, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::am::service::IAppletAccessor', 10, '0 bytes in - 0 bytes out'),
('nn::am::service::IAppletAccessor', 20, '0 bytes in - 0 bytes out'),
('nn::am::service::IAppletAccessor', 25, '0 bytes in - 0 bytes out'),
('nn::am::service::IAppletAccessor', 30, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::am::service::IApplicationAccessor', 1, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::am::service::IApplicationAccessor', 10, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 20, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 25, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 30, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 101, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 110, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationAccessor', 111, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::am::service::IApplicationAccessor', 112, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationAccessor', 120, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::am::service::IApplicationAccessor', 121, '4 bytes in - 0 bytes out - InRaw<4,4,0>, InObject<0,0>'),
('nn::am::service::IApplicationAccessor', 122, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::am::service::IApplicationAccessor', 123, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::am::service::IApplicationCreator', 0, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::am::service::IApplicationCreator', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationCreator', 10, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::am::service::IApplicationCreator', 100, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationFunctions', 1, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::am::service::IApplicationFunctions', 10, '8 bytes in - 0 bytes out - InRaw<8,8,0>, InObject<0,0>'),
('nn::am::service::IApplicationFunctions', 11, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::am::service::IApplicationFunctions', 20, '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x10,8,0>'),
('nn::am::service::IApplicationFunctions', 21, '0 bytes in - 8 bytes out - OutRaw<8,1,0>'),
('nn::am::service::IApplicationFunctions', 22, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::am::service::IApplicationFunctions', 23, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::am::service::IApplicationFunctions', 24, '0 bytes in - 2 bytes out - OutRaw<1,1,0>, OutRaw<1,1,1>'),
('nn::am::service::IApplicationFunctions', 25, '0x28 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<1,1,0>, InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<8,8,0x20>'),
('nn::am::service::IApplicationFunctions', 26, '0x18 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<1,1,0>, InRaw<0x10,8,8>'),
('nn::am::service::IApplicationFunctions', 30, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::am::service::IApplicationFunctions', 31, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationFunctions', 32, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::am::service::IApplicationFunctions', 33, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationFunctions', 40, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::am::service::IApplicationFunctions', 50, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::am::service::IApplicationFunctions', 60, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::am::service::IApplicationFunctions', 65, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::am::service::IApplicationFunctions', 66, '8 bytes in - 0 bytes out - InHandle<0,1>, InRaw<8,8,0>'),
('nn::am::service::IApplicationFunctions', 67, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::am::service::IApplicationFunctions', 70, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationFunctions', 71, '0 bytes in - 0 bytes out'),
('nn::am::service::IApplicationProxy', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 3, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 4, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 10, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 11, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 20, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxy', 1000, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::am::service::IApplicationProxyService', 0, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::am::service::IAudioController', 0, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::am::service::IAudioController', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::am::service::IAudioController', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::am::service::IAudioController', 3, '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::am::service::IAudioController', 4, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::am::service::ICommonStateGetter', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::am::service::ICommonStateGetter', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::am::service::ICommonStateGetter', 2, '0 bytes in - 8 bytes out - OutRaw<8,4,0>'),
('nn::am::service::ICommonStateGetter', 3, '0 bytes in - 0 bytes out'),
('nn::am::service::ICommonStateGetter', 4, '0 bytes in - 0 bytes out'),
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('nn::audio::detail::IAudioIn', 2, '0 bytes in - 0 bytes out'),
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('nn::audio::detail::IAudioIn', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audio::detail::IAudioIn', 5, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioIn', 6, '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>'),
('nn::audio::detail::IAudioIn', 7, '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::audio::detail::IAudioIn', 8, '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioIn', 9, '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioIn', 10, '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>, InHandle<0,1>'),
('nn::audio::detail::IAudioInManager', 0, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioInManager', 1, '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,5,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,6,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioInManager', 2, '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioInManager', 3, '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,0x21,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,0x22,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioInManager', 4, '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioInManagerForApplet', 0, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioInManagerForApplet', 1, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioInManagerForApplet', 2, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioInManagerForApplet', 3, '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::audio::detail::IAudioInManagerForDebugger', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioInManagerForDebugger', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioOut', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioOut', 1, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IAudioOut', 2, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IAudioOut', 3, '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioOut', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audio::detail::IAudioOut', 5, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioOut', 6, '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>'),
('nn::audio::detail::IAudioOut', 7, '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioOut', 8, '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioOutManager', 0, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioOutManager', 1, '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,5,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,6,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioOutManager', 2, '0 bytes in - 4 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>'),
('nn::audio::detail::IAudioOutManager', 3, '0x10 bytes in - 0x10 bytes out - takes pid - OutObject<0,0>, Buffer<0,0x21,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, Buffer<1,0x22,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioOutManagerForApplet', 0, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioOutManagerForApplet', 1, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioOutManagerForApplet', 2, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioOutManagerForApplet', 3, '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::audio::detail::IAudioOutManagerForDebugger', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioOutManagerForDebugger', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioRenderer', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 4, '0 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,6,0>, Buffer<2,5,0>'),
('nn::audio::detail::IAudioRenderer', 5, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IAudioRenderer', 6, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IAudioRenderer', 7, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audio::detail::IAudioRenderer', 8, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 9, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IAudioRenderer', 10, '0 bytes in - 0 bytes out - Buffer<0,0x22,0>, Buffer<1,0x22,0>, Buffer<2,0x21,0>'),
('nn::audio::detail::IAudioRenderer', 11, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IAudioRendererManager', 0, '0x48 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<0x34,4,0>, InHandle<0,1>, InHandle<1,1>, InRaw<8,8,0x38>, InRaw<8,8,0x40>'),
('nn::audio::detail::IAudioRendererManager', 1, '0x34 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x34,4,0>'),
('nn::audio::detail::IAudioRendererManager', 2, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioRendererManager', 3, '0x50 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<0x34,4,0>, InRaw<8,8,0x38>, InHandle<0,1>, InRaw<8,8,0x40>, InRaw<8,8,0x48>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 0, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 1, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 2, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 3, '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 4, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioRendererManagerForApplet', 5, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioRendererManagerForDebugger', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IAudioRendererManagerForDebugger', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IFinalOutputRecorder', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audio::detail::IFinalOutputRecorder', 1, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IFinalOutputRecorder', 2, '0 bytes in - 0 bytes out'),
('nn::audio::detail::IFinalOutputRecorder', 3, '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>'),
('nn::audio::detail::IFinalOutputRecorder', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audio::detail::IFinalOutputRecorder', 5, '0 bytes in - 0x10 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<8,8,8>'),
('nn::audio::detail::IFinalOutputRecorder', 6, '8 bytes in - 1 bytes out - InRaw<8,8,0>, OutRaw<1,1,0>'),
('nn::audio::detail::IFinalOutputRecorder', 7, '8 bytes in - 8 bytes out - InRaw<8,8,0>, OutRaw<8,8,0>'),
('nn::audio::detail::IFinalOutputRecorder', 8, '8 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<8,8,0>'),
('nn::audio::detail::IFinalOutputRecorder', 9, '0 bytes in - 0x10 bytes out - Buffer<0,0x22,0>, OutRaw<4,4,0>, OutRaw<8,8,8>'),
('nn::audio::detail::IFinalOutputRecorderManager', 0, '0x10 bytes in - 0x10 bytes out - OutObject<0,0>, InRaw<8,4,0>, InHandle<0,1>, OutRaw<0x10,4,0>, InRaw<8,8,8>'),
('nn::audio::detail::IFinalOutputRecorderManagerForApplet', 0, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IFinalOutputRecorderManagerForApplet', 1, '0x10 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::audio::detail::IFinalOutputRecorderManagerForDebugger', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audio::detail::IFinalOutputRecorderManagerForDebugger', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::audioctrl::detail::IAudioController', 0, '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 1, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::audioctrl::detail::IAudioController', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 4, ''),
('nn::audioctrl::detail::IAudioController', 5, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::audioctrl::detail::IAudioController', 6, ''),
('nn::audioctrl::detail::IAudioController', 7, ''),
('nn::audioctrl::detail::IAudioController', 8, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 9, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 10, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::audioctrl::detail::IAudioController', 11, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 13, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 14, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::audioctrl::detail::IAudioController', 15, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 16, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::audioctrl::detail::IAudioController', 17, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 18, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 19, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audioctrl::detail::IAudioController', 20, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::audioctrl::detail::IAudioController', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::audioctrl::detail::IAudioController', 22, '0 bytes in - 0 bytes out'),
('nn::bcat::detail::ipc::IBcatService', 10100, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::bcat::detail::ipc::IBcatService', 20100, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::bcat::detail::ipc::IBcatService', 30100, '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,9,0>'),
('nn::bcat::detail::ipc::IBcatService', 30200, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::bcat::detail::ipc::IBcatService', 30201, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IBcatService', 30202, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IBcatService', 30203, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IBcatService', 90100, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::bcat::detail::ipc::IBcatService', 90200, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IBcatService', 90201, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IBcatService', 90300, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 0, '0x20 bytes in - 0 bytes out - InRaw<0x20,1,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheDirectoryService', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 0, '0x40 bytes in - 0 bytes out - InRaw<0x20,1,0>, InRaw<0x20,1,0x20>'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 1, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, Buffer<0,6,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 2, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheFileService', 3, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheProgressService', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bcat::detail::ipc::IDeliveryCacheProgressService', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x200>'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::bcat::detail::ipc::IDeliveryCacheStorageService', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::bcat::detail::ipc::IServiceCreator', 0, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IServiceCreator', 1, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::bcat::detail::ipc::IServiceCreator', 2, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::bgtc::IStateControlService', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bgtc::IStateControlService', 2, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bgtc::IStateControlService', 3, '0 bytes in - 0 bytes out'),
('nn::bgtc::IStateControlService', 4, '0 bytes in - 0 bytes out'),
('nn::bgtc::IStateControlService', 5, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::bgtc::ITaskService', 1, '0 bytes in - 0 bytes out'),
('nn::bgtc::ITaskService', 2, '0 bytes in - 0 bytes out'),
('nn::bgtc::ITaskService', 3, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bgtc::ITaskService', 4, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bgtc::ITaskService', 5, ''),
('nn::bgtc::ITaskService', 6, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bgtc::ITaskService', 11, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::bgtc::ITaskService', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bgtc::ITaskService', 13, '0 bytes in - 0 bytes out'),
('nn::bgtc::ITaskService', 14, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bgtc::ITaskService', 15, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::bgtc::ITaskService', 101, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bgtc::ITaskService', 102, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bgtc::ITaskService', 103, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 0, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 1, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bluetooth::IBluetoothDriver', 2, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 3, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 4, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 5, ''),
('nn::bluetooth::IBluetoothDriver', 6, ''),
('nn::bluetooth::IBluetoothDriver', 7, ''),
('nn::bluetooth::IBluetoothDriver', 8, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 9, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 10, ''),
('nn::bluetooth::IBluetoothDriver', 11, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::bluetooth::IBluetoothDriver', 12, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::bluetooth::IBluetoothDriver', 13, ''),
('nn::bluetooth::IBluetoothDriver', 14, ''),
('nn::bluetooth::IBluetoothDriver', 15, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>'),
('nn::bluetooth::IBluetoothDriver', 16, ''),
('nn::bluetooth::IBluetoothDriver', 17, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::bluetooth::IBluetoothDriver', 18, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::bluetooth::IBluetoothDriver', 19, ''),
('nn::bluetooth::IBluetoothDriver', 20, ''),
('nn::bluetooth::IBluetoothDriver', 21, ''),
('nn::bluetooth::IBluetoothDriver', 22, ''),
('nn::bluetooth::IBluetoothDriver', 23, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::bluetooth::IBluetoothDriver', 24, ''),
('nn::bluetooth::IBluetoothDriver', 25, ''),
('nn::bluetooth::IBluetoothDriver', 26, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 27, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>'),
('nn::bluetooth::IBluetoothDriver', 28, ''),
('nn::bluetooth::IBluetoothDriver', 29, ''),
('nn::bluetooth::IBluetoothDriver', 30, ''),
('nn::bluetooth::IBluetoothDriver', 31, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 32, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 33, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 34, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 35, ''),
('nn::bluetooth::IBluetoothDriver', 36, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::bluetooth::IBluetoothDriver', 37, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>'),
('nn::bluetooth::IBluetoothDriver', 38, ''),
('nn::bluetooth::IBluetoothDriver', 39, '0 bytes in - 0 bytes out'),
('nn::bluetooth::IBluetoothDriver', 40, ''),
('nn::bluetooth::IBluetoothDriver', 41, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 42, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 43, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::bluetooth::IBluetoothDriver', 44, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
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('nn::bpc::IBoardPowerControlManager', 1, '0 bytes in - 0 bytes out'),
('nn::bpc::IBoardPowerControlManager', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 4, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bpc::IBoardPowerControlManager', 5, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 6, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 7, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 8, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::bpc::IBoardPowerControlManager', 9, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 10, ''),
('nn::bpc::IBoardPowerControlManager', 11, ''),
('nn::bpc::IBoardPowerControlManager', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::bpc::IBoardPowerControlManager', 13, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::bpc::IRtcManager', 0, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::bpc::IRtcManager', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::bpc::IRtcManager', 2, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::bpc::IRtcManager', 3, '0 bytes in - 0 bytes out'),
('nn::bpc::IRtcManager', 4, '0 bytes in - 0 bytes out'),
('nn::bsdsocket::cfg::ServerInterface', 0, ''),
('nn::bsdsocket::cfg::ServerInterface', 1, ''),
('nn::bsdsocket::cfg::ServerInterface', 2, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::bsdsocket::cfg::ServerInterface', 3, '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>'),
('nn::bsdsocket::cfg::ServerInterface', 4, ''),
('nn::bsdsocket::cfg::ServerInterface', 5, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::bsdsocket::cfg::ServerInterface', 6, ''),
('nn::bsdsocket::cfg::ServerInterface', 7, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::bsdsocket::cfg::ServerInterface', 8, ''),
('nn::bsdsocket::cfg::ServerInterface', 9, ''),
('nn::bsdsocket::cfg::ServerInterface', 10, '0 bytes in - 0 bytes out'),
('nn::bsdsocket::cfg::ServerInterface', 11, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::bsdsocket::cfg::ServerInterface', 12, '0 bytes in - 0 bytes out'),
('nn::btm::IBtm', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::btm::IBtm', 1, ''),
('nn::btm::IBtm', 2, ''),
('nn::btm::IBtm', 3, ''),
('nn::btm::IBtm', 4, ''),
('nn::btm::IBtm', 5, ''),
('nn::btm::IBtm', 6, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::btm::IBtm', 7, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::btm::IBtm', 8, ''),
('nn::btm::IBtm', 9, ''),
('nn::btm::IBtm', 10, ''),
('nn::btm::IBtm', 11, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::btm::IBtm', 12, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::btm::IBtm', 13, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::btm::IBtm', 14, '0 bytes in - 0 bytes out'),
('nn::btm::IBtm', 15, '0 bytes in - 0 bytes out'),
('nn::btm::IBtm', 16, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::btm::IBtm', 17, ''),
('nn::btm::IBtm', 18, ''),
('nn::btm::IBtmSystem', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::btm::IBtmSystemCore', 0, '0 bytes in - 0 bytes out'),
('nn::btm::IBtmSystemCore', 1, '0 bytes in - 0 bytes out'),
('nn::btm::IBtmSystemCore', 2, '0 bytes in - 0 bytes out'),
('nn::btm::IBtmSystemCore', 3, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::btm::IBtmSystemCore', 4, '0 bytes in - 0 bytes out'),
('nn::btm::IBtmSystemCore', 5, '0 bytes in - 0 bytes out'),
('nn::btm::IBtmSystemCore', 6, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::btm::IBtmSystemCore', 7, ''),
('nn::btm::IBtmSystemCore', 8, ''),
('nn::btm::IBtmSystemCore', 9, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumAccessorService', 0, ''),
('nn::capsrv::sf::IAlbumAccessorService', 1, ''),
('nn::capsrv::sf::IAlbumAccessorService', 2, ''),
('nn::capsrv::sf::IAlbumAccessorService', 3, ''),
('nn::capsrv::sf::IAlbumAccessorService', 4, ''),
('nn::capsrv::sf::IAlbumAccessorService', 5, ''),
('nn::capsrv::sf::IAlbumAccessorService', 6, ''),
('nn::capsrv::sf::IAlbumAccessorService', 7, ''),
('nn::capsrv::sf::IAlbumAccessorService', 8, ''),
('nn::capsrv::sf::IAlbumAccessorService', 9, ''),
('nn::capsrv::sf::IAlbumAccessorService', 10, ''),
('nn::capsrv::sf::IAlbumAccessorService', 11, ''),
('nn::capsrv::sf::IAlbumAccessorService', 12, ''),
('nn::capsrv::sf::IAlbumAccessorService', 13, ''),
('nn::capsrv::sf::IAlbumAccessorService', 14, ''),
('nn::capsrv::sf::IAlbumAccessorService', 301, ''),
('nn::capsrv::sf::IAlbumAccessorService', 401, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumAccessorService', 501, ''),
('nn::capsrv::sf::IAlbumAccessorService', 1001, ''),
('nn::capsrv::sf::IAlbumAccessorService', 1002, ''),
('nn::capsrv::sf::IAlbumAccessorService', 8001, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumAccessorService', 8002, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumAccessorService', 8011, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumAccessorService', 8012, ''),
('nn::capsrv::sf::IAlbumAccessorService', 8021, ''),
('nn::capsrv::sf::IAlbumAccessorService', 10011, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumControlService', 2001, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumControlService', 2002, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::capsrv::sf::IAlbumControlService', 2011, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::capsrv::sf::IAlbumControlService', 2012, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::capsrv::sf::IAlbumControlService', 2013, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::capsrv::sf::IAlbumControlService', 2014, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::capsrv::sf::IAlbumControlService', 2101, ''),
('nn::capsrv::sf::IAlbumControlService', 2102, ''),
('nn::capsrv::sf::IAlbumControlService', 2201, ''),
('nn::capsrv::sf::IAlbumControlService', 2301, ''),
('nn::capsrv::sf::IScreenShotApplicationService', 201, '0x10 bytes in - 0x20 bytes out - takes pid - OutRaw<0x20,1,0>, Buffer<0,0x45,0>, InRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,4>'),
('nn::capsrv::sf::IScreenShotApplicationService', 203, '0x50 bytes in - 0x20 bytes out - takes pid - OutRaw<0x20,1,0>, Buffer<0,0x45,0>, InRaw<0x40,4,0>, InRaw<8,8,0x48>, InRaw<4,4,0x40>'),
('nn::capsrv::sf::IScreenShotControlService', 1, ''),
('nn::capsrv::sf::IScreenShotControlService', 2, ''),
('nn::capsrv::sf::IScreenShotControlService', 1001, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::capsrv::sf::IScreenShotControlService', 1002, '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>'),
('nn::capsrv::sf::IScreenShotControlService', 1003, ''),
('nn::capsrv::sf::IScreenShotControlService', 1011, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::capsrv::sf::IScreenShotControlService', 1012, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::capsrv::sf::IScreenShotControlService', 1201, ''),
('nn::capsrv::sf::IScreenShotControlService', 1202, '0 bytes in - 0 bytes out'),
('nn::capsrv::sf::IScreenShotControlService', 1203, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::capsrv::sf::IScreenShotService', 201, ''),
('nn::capsrv::sf::IScreenShotService', 202, ''),
('nn::capsrv::sf::IScreenShotService', 203, ''),
('nn::capsrv::sf::IScreenShotService', 204, ''),
('nn::cec::ICecManager', 0, ''),
('nn::cec::ICecManager', 1, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::cec::ICecManager', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::cec::ICecManager', 3, ''),
('nn::cec::ICecManager', 4, ''),
('nn::cec::ICecManager', 5, ''),
('nn::cec::ICecManager', 6, ''),
('nn::codec::detail::IHardwareOpusDecoder', 0, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,5,0>'),
('nn::codec::detail::IHardwareOpusDecoder', 1, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::codec::detail::IHardwareOpusDecoder', 2, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,5,0>'),
('nn::codec::detail::IHardwareOpusDecoder', 3, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::codec::detail::IHardwareOpusDecoderManager', 0, '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,4,0>, InHandle<0,1>, InRaw<4,4,8>'),
('nn::codec::detail::IHardwareOpusDecoderManager', 1, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::codec::detail::IHardwareOpusDecoderManager', 2, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x110>, InHandle<0,1>, InRaw<4,4,0>'),
('nn::codec::detail::IHardwareOpusDecoderManager', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x19,0x110>'),
('nn::erpt::sf::IContext', 0, ''),
('nn::erpt::sf::IContext', 1, ''),
('nn::erpt::sf::IContext', 2, ''),
('nn::erpt::sf::IContext', 3, '0 bytes in - 0 bytes out'),
('nn::erpt::sf::IContext', 4, '0 bytes in - 0 bytes out'),
('nn::erpt::sf::IContext', 5, '0 bytes in - 0 bytes out'),
('nn::erpt::sf::IManager', 0, ''),
('nn::erpt::sf::IManager', 1, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::erpt::sf::IReport', 0, ''),
('nn::erpt::sf::IReport', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::erpt::sf::IReport', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::erpt::sf::IReport', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::erpt::sf::IReport', 4, '0 bytes in - 0 bytes out'),
('nn::erpt::sf::IReport', 5, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::erpt::sf::ISession', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::erpt::sf::ISession', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::es::IETicketService', 1, ''),
('nn::es::IETicketService', 2, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::es::IETicketService', 3, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::es::IETicketService', 4, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::es::IETicketService', 5, '0 bytes in - 0 bytes out'),
('nn::es::IETicketService', 6, '0 bytes in - 0 bytes out'),
('nn::es::IETicketService', 7, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::es::IETicketService', 8, ''),
('nn::es::IETicketService', 9, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::es::IETicketService', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::es::IETicketService', 11, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::es::IETicketService', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::es::IETicketService', 13, ''),
('nn::es::IETicketService', 14, ''),
('nn::es::IETicketService', 15, ''),
('nn::es::IETicketService', 16, ''),
('nn::es::IETicketService', 17, ''),
('nn::es::IETicketService', 18, ''),
('nn::es::IETicketService', 19, ''),
('nn::es::IETicketService', 20, ''),
('nn::es::IETicketService', 21, ''),
('nn::eth::sf::IEthInterface', 0, ''),
('nn::eth::sf::IEthInterface', 1, '0 bytes in - 0 bytes out'),
('nn::eth::sf::IEthInterface', 2, '0 bytes in - 0 bytes out'),
('nn::eth::sf::IEthInterface', 3, ''),
('nn::eth::sf::IEthInterface', 4, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::eth::sf::IEthInterface', 5, ''),
('nn::eth::sf::IEthInterfaceGroup', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::eth::sf::IEthInterfaceGroup', 1, '0 bytes in - 0 bytes out'),
('nn::eth::sf::IEthInterfaceGroup', 2, '0 bytes in - 0 bytes out'),
('nn::eth::sf::IEthInterfaceGroup', 3, ''),
('nn::eth::sf::IEthInterfaceGroup', 4, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::eupld::sf::IControl', 0, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::eupld::sf::IControl', 1, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::eupld::sf::IControl', 2, ''),
('nn::eupld::sf::IControl', 3, ''),
('nn::eupld::sf::IRequest', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::eupld::sf::IRequest', 1, '0 bytes in - 0 bytes out'),
('nn::eupld::sf::IRequest', 2, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::eupld::sf::IRequest', 3, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::eupld::sf::IRequest', 4, '0 bytes in - 0 bytes out'),
('nn::eupld::sf::IRequest', 5, '0 bytes in - 0 bytes out'),
('nn::fan::detail::IController', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::fan::detail::IController', 1, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::fan::detail::IController', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fan::detail::IController', 3, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::fan::detail::IController', 4, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fan::detail::IController', 5, '0 bytes in - 0 bytes out'),
('nn::fan::detail::IController', 6, '0 bytes in - 0 bytes out'),
('nn::fan::detail::IController', 7, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fan::detail::IManager', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::fatalsrv::IPrivateService', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::fatalsrv::IService', 0, ''),
('nn::fatalsrv::IService', 1, ''),
('nn::fatalsrv::IService', 2, ''),
('nn::fgm::sf::IDebugger', 0, '8 bytes in - 0 bytes out - OutHandle<0,1>, InHandle<0,1>, InRaw<8,8,0>'),
('nn::fgm::sf::IDebugger', 1, '0 bytes in - 0xC bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>'),
('nn::fgm::sf::IDebugger', 2, '0 bytes in - 0 bytes out'),
('nn::fgm::sf::IRequest', 0, '0x10 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::fgm::sf::IRequest', 1, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::fgm::sf::IRequest', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fgm::sf::IRequest', 3, '0 bytes in - 0 bytes out'),
('nn::fgm::sf::ISession', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::friends::detail::ipc::IFriendService', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::friends::detail::ipc::IFriendService', 1, '0 bytes in - 0 bytes out'),
('nn::friends::detail::ipc::IFriendService', 10100, '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<0x10,8,0x18>, InRaw<8,8,0x28>'),
('nn::friends::detail::ipc::IFriendService', 10101, '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<0x10,8,0x18>, InRaw<8,8,0x28>'),
('nn::friends::detail::ipc::IFriendService', 10102, '0x18 bytes in - 0 bytes out - takes pid - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 10110, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,6,0>'),
('nn::friends::detail::ipc::IFriendService', 10200, '0x20 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, InRaw<8,8,0x18>'),
('nn::friends::detail::ipc::IFriendService', 10211, '0x80 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0x68>, InRaw<0x40,1,0>, InRaw<0x21,1,0x40>, Buffer<2,5,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, InRaw<8,8,0x78>'),
('nn::friends::detail::ipc::IFriendService', 10400, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 10500, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>'),
('nn::friends::detail::ipc::IFriendService', 10600, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 10601, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 10610, '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,0x19,0xE0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 10700, '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<0x10,8,8>, InRaw<1,1,0>'),
('nn::friends::detail::ipc::IFriendService', 10701, '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::friends::detail::ipc::IFriendService', 10702, '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,0x19,0x40>, Buffer<1,0x19,0x48>, Buffer<2,0x19,0x48>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 11000, '0xA4 bytes in - 0xA0 bytes out - OutRaw<0xA0,1,0>, InRaw<0xA0,1,0>, InRaw<4,4,0xA0>'),
('nn::friends::detail::ipc::IFriendService', 20100, '0x28 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<0x10,8,0x10>, InRaw<8,8,0x20>'),
('nn::friends::detail::ipc::IFriendService', 20101, '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20102, '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x800>, InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 20103, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20104, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20110, '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 20200, '0x10 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20201, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::friends::detail::ipc::IFriendService', 20300, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 20301, '0x18 bytes in - 4 bytes out - Buffer<0,0x1A,0x38>, OutRaw<4,4,0>, Buffer<1,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 20400, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 20401, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20500, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<0x10,8,0>, Buffer<1,9,0>'),
('nn::friends::detail::ipc::IFriendService', 20501, '0x18 bytes in - 8 bytes out - OutRaw<8,1,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 20600, '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0xE0>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20700, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 20701, '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20800, '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x800>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20801, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 20900, '0 bytes in - 0 bytes out'),
('nn::friends::detail::ipc::IFriendService', 21000, '0x18 bytes in - 0 bytes out - Buffer<0,0x1A,0x4B8>, InRaw<0x10,8,8>, InRaw<8,1,0>'),
('nn::friends::detail::ipc::IFriendService', 30100, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 30101, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30110, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30120, '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<1,1,0>'),
('nn::friends::detail::ipc::IFriendService', 30121, '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<1,1,0>'),
('nn::friends::detail::ipc::IFriendService', 30200, '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 30201, '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>'),
('nn::friends::detail::ipc::IFriendService', 30202, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30203, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30204, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30205, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30210, '0x10 bytes in - 0x40 bytes out - OutRaw<0x40,1,0>, InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 30211, '0x78 bytes in - 0 bytes out - InRaw<0x10,8,0x68>, InRaw<0x40,1,0>, InRaw<0x21,1,0x40>, Buffer<0,5,0>'),
('nn::friends::detail::ipc::IFriendService', 30212, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30213, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,8,0>, InRaw<8,8,0x10>, Buffer<0,6,0>'),
('nn::friends::detail::ipc::IFriendService', 30214, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,9,0>, Buffer<1,6,0>'),
('nn::friends::detail::ipc::IFriendService', 30215, '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>'),
('nn::friends::detail::ipc::IFriendService', 30216, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30217, '0x80 bytes in - 0 bytes out - InRaw<0x10,8,0x68>, InRaw<8,8,0x78>, InRaw<4,4,0x60>, InRaw<0x20,1,0>, InRaw<0x10,1,0x20>, InRaw<0x20,1,0x30>, InRaw<0x10,1,0x50>'),
('nn::friends::detail::ipc::IFriendService', 30400, '0x20 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 30401, '0x30 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,8,0x20>, Buffer<0,0x19,0x48>'),
('nn::friends::detail::ipc::IFriendService', 30402, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<8,8,0x10>'),
('nn::friends::detail::ipc::IFriendService', 30500, '0x30 bytes in - 0 bytes out - Buffer<0,0x1A,0x400>, InRaw<0x10,8,0x20>, InRaw<0x20,1,0>'),
('nn::friends::detail::ipc::IFriendService', 30700, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 30810, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 30811, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<1,1,0>'),
('nn::friends::detail::ipc::IFriendService', 30812, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,8>, InRaw<4,4,0>'),
('nn::friends::detail::ipc::IFriendService', 30820, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 30830, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IFriendService', 49900, '0x10 bytes in - 0 bytes out - InRaw<0x10,8,0>'),
('nn::friends::detail::ipc::INotificationService', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::friends::detail::ipc::INotificationService', 1, '0 bytes in - 0 bytes out'),
('nn::friends::detail::ipc::INotificationService', 2, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::friends::detail::ipc::IServiceCreator', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::friends::detail::ipc::IServiceCreator', 1, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<0x10,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 0, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::fssrv::sf::IDeviceOperator', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 2, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 3, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 4, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 5, '8 bytes in - 0x18 bytes out - OutRaw<0x10,4,0>, OutRaw<8,8,0x10>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 100, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 101, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 110, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 111, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 112, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 113, '8 bytes in - 0x18 bytes out - OutRaw<0x10,4,0>, OutRaw<8,8,0x10>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 114, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 200, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::fssrv::sf::IDeviceOperator', 201, '0x10 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IDeviceOperator', 202, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 203, '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 204, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IDeviceOperator', 205, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 206, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 207, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>, Buffer<1,5,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IDeviceOperator', 208, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 209, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IDeviceOperator', 210, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::fssrv::sf::IDeviceOperator', 211, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 212, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>, Buffer<1,5,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IDeviceOperator', 213, '8 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 214, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 215, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IDeviceOperator', 216, '0 bytes in - 0x10 bytes out - OutRaw<0x10,2,0>'),
('nn::fssrv::sf::IDeviceOperator', 217, '0 bytes in - 0x40 bytes out - OutRaw<0x40,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 218, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IDeviceOperator', 300, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::fssrv::sf::IDeviceOperator', 301, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fssrv::sf::IDirectory', 0, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::fssrv::sf::IDirectory', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IEventNotifier', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::fssrv::sf::IFile', 0, '0x18 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0x10>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFile', 1, '0x18 bytes in - 0 bytes out - InRaw<8,8,8>, Buffer<0,0x45,0>, InRaw<8,8,0x10>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFile', 2, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFile', 3, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IFile', 4, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystem', 0, '0x10 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystem', 1, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 2, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 3, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 4, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 5, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, Buffer<1,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 6, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>, Buffer<1,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 7, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 8, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystem', 9, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystem', 10, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystem', 11, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 12, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 13, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystem', 14, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 1, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 7, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 8, '0x10 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 9, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 11, '4 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 12, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 13, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 17, '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 18, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 19, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 21, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 22, '0x90 bytes in - 0 bytes out - InRaw<0x40,8,0>, InRaw<0x40,8,0x40>, InRaw<0x10,4,0x80>'),
('nn::fssrv::sf::IFileSystemProxy', 23, '0x80 bytes in - 0 bytes out - InRaw<0x40,8,0>, InRaw<0x40,8,0x40>'),
('nn::fssrv::sf::IFileSystemProxy', 24, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::fssrv::sf::IFileSystemProxy', 25, '0x10 bytes in - 0 bytes out - InRaw<1,1,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 26, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 27, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::fssrv::sf::IFileSystemProxy', 30, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::fssrv::sf::IFileSystemProxy', 31, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::fssrv::sf::IFileSystemProxy', 32, '0x20 bytes in - 0 bytes out - InRaw<1,1,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>'),
('nn::fssrv::sf::IFileSystemProxy', 51, '0x48 bytes in - 0 bytes out - OutObject<0,0>, InRaw<1,1,0>, InRaw<0x40,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 52, '0x48 bytes in - 0 bytes out - OutObject<0,0>, InRaw<1,1,0>, InRaw<0x40,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 53, '0x48 bytes in - 0 bytes out - OutObject<0,0>, InRaw<1,1,0>, InRaw<0x40,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 57, '0x10 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<1,1,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 58, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 59, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>, Buffer<0,5,0>'),
('nn::fssrv::sf::IFileSystemProxy', 60, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 61, '1 bytes in - 0 bytes out - OutObject<0,0>, InRaw<1,1,0>'),
('nn::fssrv::sf::IFileSystemProxy', 80, '0x48 bytes in - 0 bytes out - OutObject<0,0>, InRaw<1,1,0>, InRaw<0x40,8,8>, InRaw<4,4,4>'),
('nn::fssrv::sf::IFileSystemProxy', 100, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 110, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 200, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 201, '8 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 202, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::fssrv::sf::IFileSystemProxy', 203, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 400, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 500, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 501, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::fssrv::sf::IFileSystemProxy', 600, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 601, '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 602, '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,6,0>'),
('nn::fssrv::sf::IFileSystemProxy', 603, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 604, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxy', 605, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 606, '0x10 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::fssrv::sf::IFileSystemProxy', 607, '0x20 bytes in - 0 bytes out - InRaw<0x10,8,0>, InRaw<0x10,1,0x10>'),
('nn::fssrv::sf::IFileSystemProxy', 608, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 609, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 610, '0 bytes in - 0x18 bytes out - OutRaw<0x10,8,8>, OutRaw<1,1,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 620, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::fssrv::sf::IFileSystemProxy', 800, '0 bytes in - 0x80 bytes out - OutRaw<0x80,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 1000, '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 1001, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IFileSystemProxy', 1002, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x301>'),
('nn::fssrv::sf::IFileSystemProxy', 1003, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IFileSystemProxy', 1004, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 1005, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::fssrv::sf::IFileSystemProxy', 1006, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::fssrv::sf::IFileSystemProxyForLoader', 0, '8 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x301>, InRaw<8,8,0>'),
('nn::fssrv::sf::IFileSystemProxyForLoader', 1, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::fssrv::sf::IProgramRegistry', 0, '0x28 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<1,1,0>, Buffer<0,5,0>, InRaw<8,8,0x18>, Buffer<1,5,0>, InRaw<8,8,0x20>'),
('nn::fssrv::sf::IProgramRegistry', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IProgramRegistry', 256, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::fssrv::sf::ISaveDataInfoReader', 0, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::fssrv::sf::IStorage', 0, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x46,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IStorage', 1, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,0x45,0>, InRaw<8,8,8>'),
('nn::fssrv::sf::IStorage', 2, '0 bytes in - 0 bytes out'),
('nn::fssrv::sf::IStorage', 3, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::fssrv::sf::IStorage', 4, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::gpio::IManager', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::gpio::IManager', 1, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::gpio::IManager', 2, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::gpio::IManager', 3, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::gpio::IManager', 4, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::gpio::IManager', 5, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::gpio::IManager', 6, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::gpio::IPadSession', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::gpio::IPadSession', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::gpio::IPadSession', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::gpio::IPadSession', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::gpio::IPadSession', 4, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::gpio::IPadSession', 5, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::gpio::IPadSession', 6, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::gpio::IPadSession', 7, '0 bytes in - 0 bytes out'),
('nn::gpio::IPadSession', 8, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::gpio::IPadSession', 9, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::gpio::IPadSession', 10, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::gpio::IPadSession', 11, '0 bytes in - 0 bytes out'),
('nn::gpio::IPadSession', 12, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::gpio::IPadSession', 13, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::gpio::IPadSession', 14, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::gpio::IPadSession', 15, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::hid::IActiveVibrationDeviceList', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IAppletResource', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidDebugServer', 0, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 1, '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>'),
('nn::hid::IHidDebugServer', 2, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 10, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 11, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::hid::IHidDebugServer', 12, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 20, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 21, '0x1C bytes in - 0 bytes out - InRaw<0x1C,4,0>'),
('nn::hid::IHidDebugServer', 22, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 30, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 31, '0x28 bytes in - 0 bytes out - InRaw<0x28,8,0>'),
('nn::hid::IHidDebugServer', 32, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 50, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidDebugServer', 51, '0x20 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<0x1C,4,4>'),
('nn::hid::IHidDebugServer', 52, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidDebugServer', 60, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidDebugServer', 91, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 110, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 111, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 112, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 120, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 121, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 122, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 123, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 130, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 131, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 132, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 133, '0x18 bytes in - 0 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::hid::IHidDebugServer', 134, '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::hid::IHidDebugServer', 135, '0x18 bytes in - 0 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::hid::IHidDebugServer', 136, '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::hid::IHidDebugServer', 140, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 201, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 202, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 203, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 204, '0 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>'),
('nn::hid::IHidDebugServer', 205, '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidDebugServer', 206, '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidDebugServer', 207, '0 bytes in - 0 bytes out'),
('nn::hid::IHidDebugServer', 208, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 209, '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidDebugServer', 221, '0x10 bytes in - 0 bytes out - InRaw<4,1,0>, InRaw<4,1,4>, InRaw<8,8,8>'),
('nn::hid::IHidServer', 0, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::hid::IHidServer', 1, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 11, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 21, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 31, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 40, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::hid::IHidServer', 41, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidServer', 51, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 55, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidServer', 56, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidServer', 58, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 59, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidServer', 60, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidServer', 61, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidServer', 62, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 63, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidServer', 64, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidServer', 65, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 66, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 67, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 68, '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 69, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::hid::IHidServer', 70, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::hid::IHidServer', 71, '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 72, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 73, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::hid::IHidServer', 74, '0x10 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 75, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 76, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidServer', 77, '0x10 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 78, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 79, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidServer', 80, '0x10 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 81, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 82, '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 91, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 100, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 101, '8 bytes in - 4 bytes out - takes pid - InRaw<8,8,0>, OutRaw<4,4,0>'),
('nn::hid::IHidServer', 102, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, Buffer<0,9,0>'),
('nn::hid::IHidServer', 103, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 104, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 106, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::hid::IHidServer', 107, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 108, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 120, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidServer', 121, '8 bytes in - 8 bytes out - takes pid - InRaw<8,8,0>, OutRaw<8,8,0>'),
('nn::hid::IHidServer', 122, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 123, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::hid::IHidServer', 124, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 125, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidServer', 126, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 127, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 128, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidServer', 129, '8 bytes in - 8 bytes out - takes pid - InRaw<8,8,0>, OutRaw<8,8,0>'),
('nn::hid::IHidServer', 130, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidServer', 131, '0x10 bytes in - 1 bytes out - takes pid - OutRaw<1,1,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 132, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::hid::IHidServer', 200, '4 bytes in - 8 bytes out - OutRaw<8,4,0>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 201, '0x20 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<0x10,4,4>'),
('nn::hid::IHidServer', 202, '0x10 bytes in - 0x10 bytes out - takes pid - OutRaw<0x10,4,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 203, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::hid::IHidServer', 204, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::hid::IHidServer', 205, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::hid::IHidServer', 206, '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,9,0>, Buffer<1,9,0>'),
('nn::hid::IHidServer', 300, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidServer', 301, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 302, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 400, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::hid::IHidServer', 401, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::hid::IHidServer', 402, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::hid::IHidServer', 1000, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidServer', 1001, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 31, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 101, '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 111, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 121, '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 131, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 141, '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 151, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 210, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 211, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidSystemServer', 212, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 213, '0x10 bytes in - 0 bytes out - takes pid - InRaw<4,4,4>, InRaw<1,1,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 230, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 231, '0x10 bytes in - 0 bytes out - takes pid - InRaw<4,4,4>, InRaw<1,1,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 301, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 303, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 304, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 305, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 306, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 307, '4 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 311, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::hid::IHidSystemServer', 321, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>, InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 322, '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, OutRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 323, '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, OutRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 500, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 501, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 502, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 503, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 504, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 505, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 510, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 511, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 512, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 513, '0 bytes in - 0 bytes out'),
('nn::hid::IHidSystemServer', 520, '0 bytes in - 0 bytes out'),
('nn::hid::IHidSystemServer', 521, '0 bytes in - 0 bytes out'),
('nn::hid::IHidSystemServer', 540, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 541, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidSystemServer', 542, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 543, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidSystemServer', 544, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 545, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::hid::IHidSystemServer', 546, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 547, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 700, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 702, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::hid::IHidSystemServer', 703, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>'),
('nn::hid::IHidSystemServer', 751, '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 800, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0xA,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 801, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 802, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 803, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 804, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 805, '8 bytes in - 6 bytes out - OutRaw<6,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 806, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 821, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 822, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 823, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 824, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::hid::IHidSystemServer', 850, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 851, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::hid::IHidSystemServer', 852, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 900, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 901, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::hid::IHidSystemServer', 1000, '0 bytes in - 0 bytes out'),
('nn::hid::IHidSystemServer', 1001, '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 1002, '8 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 1003, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 1004, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 1005, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::hid::IHidSystemServer', 1006, '0 bytes in - 0 bytes out'),
('nn::hid::IHidSystemServer', 1007, '8 bytes in - 4 bytes out - OutRaw<4,1,0>, InRaw<8,8,0>'),
('nn::hid::IHidTemporaryServer', 0, '0x10 bytes in - 0x18 bytes out - takes pid - OutRaw<0x18,2,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::htc::tenv::IService', 0, '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<0x40,1,0>'),
('nn::htc::tenv::IService', 1, '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x40,1,0>'),
('nn::htc::tenv::IService', 2, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::htc::tenv::IServiceManager', 0, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::i2c::IManager', 0, '0x10 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,4>, InRaw<2,2,0>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::i2c::IManager', 1, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::i2c::IManager', 2, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::i2c::IManager', 3, '0x10 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,4>, InRaw<2,2,0>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::i2c::ISession', 0, '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>'),
('nn::i2c::ISession', 1, '4 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::i2c::ISession', 2, '0 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,9,0>'),
('nn::i2c::ISession', 10, '4 bytes in - 0 bytes out - Buffer<0,0x21,0>, InRaw<4,4,0>'),
('nn::i2c::ISession', 11, '4 bytes in - 0 bytes out - Buffer<0,0x22,0>, InRaw<4,4,0>'),
('nn::i2c::ISession', 12, '0 bytes in - 0 bytes out - Buffer<0,0x22,0>, Buffer<1,9,0>'),
('nn::idle::detail::IPolicyManagerSystem', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::idle::detail::IPolicyManagerSystem', 1, '0 bytes in - 0 bytes out'),
('nn::idle::detail::IPolicyManagerSystem', 2, '0 bytes in - 0 bytes out'),
('nn::idle::detail::IPolicyManagerSystem', 3, ''),
('nn::idle::detail::IPolicyManagerSystem', 4, '0 bytes in - 0 bytes out'),
('nn::idle::detail::IPolicyManagerSystem', 5, '0 bytes in - 0 bytes out'),
('nn::irsensor::IIrSensorServer', 302, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::irsensor::IIrSensorServer', 303, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::irsensor::IIrSensorServer', 304, '8 bytes in - 0 bytes out - takes pid - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::irsensor::IIrSensorServer', 305, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::irsensor::IIrSensorServer', 306, '0x30 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x20,8,0x10>'),
('nn::irsensor::IIrSensorServer', 307, '0x38 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x28,8,0x10>'),
('nn::irsensor::IIrSensorServer', 308, '0x30 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<0x18,8,0x10>, InHandle<0,1>, InRaw<8,8,0x28>'),
('nn::irsensor::IIrSensorServer', 309, '0x10 bytes in - 0x10 bytes out - takes pid - InRaw<8,8,8>, OutRaw<0x10,8,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::irsensor::IIrSensorServer', 310, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<8,2,4>'),
('nn::irsensor::IIrSensorServer', 311, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::irsensor::IIrSensorServer', 312, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<0xC,2,4>'),
('nn::irsensor::IIrSensorServer', 313, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::irsensor::IIrSensorServer', 314, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,2,4>'),
('nn::irsensor::IIrSensorSystemServer', 500, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::irsensor::IIrSensorSystemServer', 501, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::irsensor::IIrSensorSystemServer', 502, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::irsensor::IIrSensorSystemServer', 503, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::lbl::detail::ILblController', 0, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 1, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 4, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 5, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 6, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::lbl::detail::ILblController', 7, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::lbl::detail::ILblController', 8, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 9, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 10, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 11, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::lbl::detail::ILblController', 12, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 13, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 14, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::lbl::detail::ILblController', 15, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 16, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 17, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::lbl::detail::ILblController', 18, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 19, '0xC bytes in - 0 bytes out - InRaw<0xC,4,0>'),
('nn::lbl::detail::ILblController', 20, '0 bytes in - 0xC bytes out - OutRaw<0xC,4,0>'),
('nn::lbl::detail::ILblController', 21, '0xC bytes in - 0 bytes out - InRaw<0xC,4,0>'),
('nn::lbl::detail::ILblController', 22, '0 bytes in - 0xC bytes out - OutRaw<0xC,4,0>'),
('nn::lbl::detail::ILblController', 23, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::lbl::detail::ILblController', 24, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 25, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::lbl::detail::ILblController', 26, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 27, '0 bytes in - 0 bytes out'),
('nn::lbl::detail::ILblController', 28, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::ldn::detail::IMonitorService', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ldn::detail::IMonitorService', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>'),
('nn::ldn::detail::IMonitorService', 2, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::ldn::detail::IMonitorService', 3, '0 bytes in - 2 bytes out - OutRaw<2,2,0>'),
('nn::ldn::detail::IMonitorService', 4, '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>'),
('nn::ldn::detail::IMonitorService', 5, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::ldn::detail::IMonitorService', 100, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IMonitorService', 101, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IMonitorServiceCreator', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 2, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 3, '0 bytes in - 2 bytes out - OutRaw<2,2,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 4, '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 5, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 100, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 101, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>, Buffer<1,0xA,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 102, '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 103, '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 200, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 201, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 202, '0x98 bytes in - 0 bytes out - InRaw<0x20,8,0x78>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 203, '0xB8 bytes in - 0 bytes out - InRaw<0x20,8,0x98>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, Buffer<0,9,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 204, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 205, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 206, '0 bytes in - 0 bytes out - Buffer<0,0x21,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 207, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 208, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 209, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 300, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 301, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 302, '0x7C bytes in - 0 bytes out - Buffer<0,0x19,0x480>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>, InRaw<4,4,0x74>, InRaw<4,4,0x78>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 303, '0xC0 bytes in - 0 bytes out - InRaw<0x20,8,0xA0>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, InRaw<4,4,0x94>, InRaw<4,4,0x98>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 304, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemLocalCommunicationService', 400, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::ldn::detail::ISystemLocalCommunicationService', 401, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::ISystemServiceCreator', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>'),
('nn::ldn::detail::IUserLocalCommunicationService', 2, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::ldn::detail::IUserLocalCommunicationService', 3, '0 bytes in - 2 bytes out - OutRaw<2,2,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 4, '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 5, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 100, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::ldn::detail::IUserLocalCommunicationService', 101, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x480>, Buffer<1,0xA,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 102, '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 103, '0x68 bytes in - 2 bytes out - Buffer<0,0x22,0>, OutRaw<2,2,0>, InRaw<0x60,8,8>, InRaw<2,2,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 200, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 201, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 202, '0x98 bytes in - 0 bytes out - InRaw<0x20,8,0x78>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>'),
('nn::ldn::detail::IUserLocalCommunicationService', 203, '0xB8 bytes in - 0 bytes out - InRaw<0x20,8,0x98>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, Buffer<0,9,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 204, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 205, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 206, '0 bytes in - 0 bytes out - Buffer<0,0x21,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 207, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 208, '6 bytes in - 0 bytes out - InRaw<6,1,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 209, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 300, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 301, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 302, '0x7C bytes in - 0 bytes out - Buffer<0,0x19,0x480>, InRaw<0x44,2,0>, InRaw<0x30,1,0x44>, InRaw<4,4,0x74>, InRaw<4,4,0x78>'),
('nn::ldn::detail::IUserLocalCommunicationService', 303, '0xC0 bytes in - 0 bytes out - InRaw<0x20,8,0xA0>, InRaw<0x44,2,0>, InRaw<0x20,1,0x44>, InRaw<0x30,1,0x64>, InRaw<4,4,0x94>, InRaw<4,4,0x98>'),
('nn::ldn::detail::IUserLocalCommunicationService', 304, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserLocalCommunicationService', 400, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::ldn::detail::IUserLocalCommunicationService', 401, '0 bytes in - 0 bytes out'),
('nn::ldn::detail::IUserServiceCreator', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::ldr::detail::IShellInterface', 0, ''),
('nn::ldr::detail::IShellInterface', 1, '0 bytes in - 0 bytes out'),
('nn::lm::ILogService', 0, '8 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<8,8,0>'),
('nn::lm::ILogger', 0, '0 bytes in - 0 bytes out - Buffer<0,0x21,0>'),
('nn::lm::ILogger', 1, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::lr::ILocationResolverManager', 0, ''),
('nn::lr::ILocationResolverManager', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::lr::ILocationResolverManager', 2, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::lr::ILocationResolverManager', 3, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::lr::ILocationResolver', 0, ''),
('nn::lr::ILocationResolver', 1, ''),
('nn::lr::ILocationResolver', 2, ''),
('nn::lr::ILocationResolver', 3, ''),
('nn::lr::ILocationResolver', 4, ''),
('nn::lr::ILocationResolver', 5, ''),
('nn::lr::ILocationResolver', 6, ''),
('nn::lr::ILocationResolver', 7, ''),
('nn::lr::ILocationResolver', 8, ''),
('nn::lr::ILocationResolver', 9, '0 bytes in - 0 bytes out'),
('nn::lr::IRegisteredLocationResolver', 0, ''),
('nn::lr::IRegisteredLocationResolver', 1, ''),
('nn::lr::IRegisteredLocationResolver', 2, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::lr::IRegisteredLocationResolver', 3, ''),
('nn::lr::IRegisteredLocationResolver', 4, ''),
('nn::lr::IRegisteredLocationResolver', 5, ''),
('nn::lr::IRegisteredLocationResolver', 6, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::lr::IRegisteredLocationResolver', 7, ''),
('nn::lr::IAddOnContentLocationResolver', 0, ''),
('nn::lr::IAddOnContentLocationResolver', 1, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::lr::IAddOnContentLocationResolver', 2, '0 bytes in - 0 bytes out'),
('nn::mii::detail::IDatabaseService', 0, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 1, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::mii::detail::IDatabaseService', 2, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 3, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 4, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 5, '0x5C bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<0x58,4,0>, InRaw<4,4,0x58>'),
('nn::mii::detail::IDatabaseService', 6, '0xC bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::mii::detail::IDatabaseService', 7, '4 bytes in - 0x58 bytes out - OutRaw<0x58,4,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 8, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 9, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::mii::detail::IDatabaseService', 10, '0x48 bytes in - 0x44 bytes out - OutRaw<0x44,4,0>, InRaw<0x44,4,0>, InRaw<4,4,0x44>'),
('nn::mii::detail::IDatabaseService', 11, '0x11 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x10,1,0>, InRaw<1,1,0x10>'),
('nn::mii::detail::IDatabaseService', 12, '0x14 bytes in - 0 bytes out - InRaw<4,4,0x10>, InRaw<0x10,1,0>'),
('nn::mii::detail::IDatabaseService', 13, '0x44 bytes in - 0 bytes out - InRaw<0x44,4,0>'),
('nn::mii::detail::IDatabaseService', 14, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::mii::detail::IDatabaseService', 15, '0 bytes in - 0 bytes out'),
('nn::mii::detail::IDatabaseService', 16, '0 bytes in - 0 bytes out'),
('nn::mii::detail::IDatabaseService', 17, '0 bytes in - 0 bytes out'),
('nn::mii::detail::IDatabaseService', 18, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::mii::detail::IDatabaseService', 19, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::mii::detail::IDatabaseService', 20, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::mii::detail::IDatabaseService', 21, '0x58 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<0x58,4,0>'),
('nn::mii::detail::IStaticService', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::mmnv::IRequest', 0, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::mmnv::IRequest', 1, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::mmnv::IRequest', 2, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::mmnv::IRequest', 3, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::mmnv::IRequest', 4, ''),
('nn::mmnv::IRequest', 5, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::mmnv::IRequest', 6, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::mmnv::IRequest', 7, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::ncm::IContentManager', 0, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 1, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 2, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 3, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 4, ''),
('nn::ncm::IContentManager', 5, ''),
('nn::ncm::IContentManager', 8, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 9, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 10, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 11, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentManager', 12, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::ncm::IContentMetaDatabase', 0, ''),
('nn::ncm::IContentMetaDatabase', 1, ''),
('nn::ncm::IContentMetaDatabase', 2, ''),
('nn::ncm::IContentMetaDatabase', 3, ''),
('nn::ncm::IContentMetaDatabase', 4, ''),
('nn::ncm::IContentMetaDatabase', 5, ''),
('nn::ncm::IContentMetaDatabase', 6, ''),
('nn::ncm::IContentMetaDatabase', 7, ''),
('nn::ncm::IContentMetaDatabase', 8, ''),
('nn::ncm::IContentMetaDatabase', 9, ''),
('nn::ncm::IContentMetaDatabase', 10, ''),
('nn::ncm::IContentMetaDatabase', 11, ''),
('nn::ncm::IContentMetaDatabase', 12, ''),
('nn::ncm::IContentMetaDatabase', 13, '0 bytes in - 0 bytes out'),
('nn::ncm::IContentMetaDatabase', 14, ''),
('nn::ncm::IContentMetaDatabase', 15, '0 bytes in - 0 bytes out'),
('nn::ncm::IContentMetaDatabase', 16, ''),
('nn::ncm::IContentMetaDatabase', 17, ''),
('nn::ncm::IContentMetaDatabase', 18, ''),
('nn::ncm::IContentMetaDatabase', 19, ''),
('nn::ncm::IContentStorage', 0, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::ncm::IContentStorage', 1, ''),
('nn::ncm::IContentStorage', 2, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::ncm::IContentStorage', 3, ''),
('nn::ncm::IContentStorage', 4, ''),
('nn::ncm::IContentStorage', 5, ''),
('nn::ncm::IContentStorage', 6, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::ncm::IContentStorage', 7, ''),
('nn::ncm::IContentStorage', 8, ''),
('nn::ncm::IContentStorage', 9, ''),
('nn::ncm::IContentStorage', 10, '0 bytes in - 0 bytes out'),
('nn::ncm::IContentStorage', 11, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::ncm::IContentStorage', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ncm::IContentStorage', 13, ''),
('nn::ncm::IContentStorage', 14, ''),
('nn::ncm::IContentStorage', 15, '0 bytes in - 0 bytes out'),
('nn::ncm::IContentStorage', 16, ''),
('nn::ncm::IContentStorage', 17, ''),
('nn::ncm::IContentStorage', 18, ''),
('nn::ncm::IContentStorage', 19, ''),
('nn::ncm::IContentStorage', 20, ''),
('nn::ncm::IContentStorage', 21, ''),
('nn::ncm::IContentStorage', 22, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::ncm::IContentStorage', 23, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::ncm::IContentStorage', 24, '0 bytes in - 0 bytes out'),
('nn::news::detail::ipc::INewlyArrivedEventHolder', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::news::detail::ipc::INewsDataService', 0, '0 bytes in - 0 bytes out - Buffer<0,9,0>'),
('nn::news::detail::ipc::INewsDataService', 1, ''),
('nn::news::detail::ipc::INewsDataService', 2, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, Buffer<0,6,0>'),
('nn::news::detail::ipc::INewsDataService', 3, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::news::detail::ipc::INewsDatabaseService', 0, ''),
('nn::news::detail::ipc::INewsDatabaseService', 1, ''),
('nn::news::detail::ipc::INewsDatabaseService', 2, ''),
('nn::news::detail::ipc::INewsDatabaseService', 3, ''),
('nn::news::detail::ipc::INewsDatabaseService', 4, ''),
('nn::news::detail::ipc::INewsDatabaseService', 5, ''),
('nn::news::detail::ipc::INewsService', 10100, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::news::detail::ipc::INewsService', 20100, '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,9,0>'),
('nn::news::detail::ipc::INewsService', 30100, ''),
('nn::news::detail::ipc::INewsService', 30101, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::news::detail::ipc::INewsService', 30200, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::news::detail::ipc::INewsService', 30300, '0 bytes in - 0 bytes out - Buffer<0,9,0>'),
('nn::news::detail::ipc::INewsService', 30400, ''),
('nn::news::detail::ipc::INewsService', 40100, ''),
('nn::news::detail::ipc::INewsService', 40101, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::news::detail::ipc::INewsService', 40200, '0 bytes in - 0 bytes out'),
('nn::news::detail::ipc::INewsService', 40201, '0 bytes in - 0 bytes out'),
('nn::news::detail::ipc::INewsService', 90100, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::news::detail::ipc::IOverwriteEventHolder', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::news::detail::ipc::IServiceCreator', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::news::detail::ipc::IServiceCreator', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::news::detail::ipc::IServiceCreator', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::news::detail::ipc::IServiceCreator', 3, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::news::detail::ipc::IServiceCreator', 4, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfc::am::detail::IAm', 0, '0 bytes in - 0 bytes out'),
('nn::nfc::am::detail::IAm', 1, '0 bytes in - 0 bytes out'),
('nn::nfc::am::detail::IAm', 2, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::nfc::am::detail::IAmManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfc::detail::ISystem', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfc::detail::ISystem', 1, '0 bytes in - 0 bytes out'),
('nn::nfc::detail::ISystem', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfc::detail::ISystem', 3, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::nfc::detail::ISystem', 100, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::nfc::detail::ISystemManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfc::detail::IUser', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfc::detail::IUser', 1, '0 bytes in - 0 bytes out'),
('nn::nfc::detail::IUser', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfc::detail::IUser', 3, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::nfc::detail::IUserManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfc::mifare::detail::IUser', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfc::mifare::detail::IUser', 1, '0 bytes in - 0 bytes out'),
('nn::nfc::mifare::detail::IUser', 2, '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>'),
('nn::nfc::mifare::detail::IUser', 3, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 4, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 5, '8 bytes in - 0 bytes out - Buffer<0,6,0>, InRaw<8,4,0>, Buffer<1,5,0>'),
('nn::nfc::mifare::detail::IUser', 6, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>'),
('nn::nfc::mifare::detail::IUser', 7, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 8, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 9, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfc::mifare::detail::IUser', 11, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 12, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfc::mifare::detail::IUser', 13, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::nfc::mifare::detail::IUserManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfp::detail::IDebug', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 1, '0 bytes in - 0 bytes out'),
('nn::nfp::detail::IDebug', 2, '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>'),
('nn::nfp::detail::IDebug', 3, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 4, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 5, '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::nfp::detail::IDebug', 6, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 7, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>'),
('nn::nfp::detail::IDebug', 8, '8 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 9, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 10, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 11, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 12, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 13, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 14, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 15, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 16, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 17, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 18, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 19, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfp::detail::IDebug', 20, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 21, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 22, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 23, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::nfp::detail::IDebug', 24, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 100, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 101, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 102, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 103, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x100>'),
('nn::nfp::detail::IDebug', 104, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 105, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 106, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 200, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x298>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 201, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x298>'),
('nn::nfp::detail::IDebug', 202, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 203, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>'),
('nn::nfp::detail::IDebug', 204, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::nfp::detail::IDebug', 205, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 206, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>, InRaw<4,4,8>'),
('nn::nfp::detail::IDebug', 300, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IDebug', 301, '0 bytes in - 0 bytes out'),
('nn::nfp::detail::IDebug', 302, '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>'),
('nn::nfp::detail::IDebug', 303, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>'),
('nn::nfp::detail::IDebug', 304, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 305, '0x10 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>, Buffer<1,5,0>, InRaw<8,8,8>'),
('nn::nfp::detail::IDebug', 306, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 307, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 308, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 309, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfp::detail::IDebug', 310, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 311, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 312, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 313, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IDebug', 314, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::nfp::detail::IDebugManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfp::detail::ISystem', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfp::detail::ISystem', 1, '0 bytes in - 0 bytes out'),
('nn::nfp::detail::ISystem', 2, '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>'),
('nn::nfp::detail::ISystem', 3, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 4, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 5, '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::nfp::detail::ISystem', 6, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 10, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 11, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 13, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 14, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 15, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 16, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 17, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 18, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 19, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfp::detail::ISystem', 20, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 21, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 23, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::nfp::detail::ISystem', 100, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 101, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 102, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 103, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,0x19,0x100>'),
('nn::nfp::detail::ISystem', 104, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 105, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::ISystem', 106, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,4,0>'),
('nn::nfp::detail::ISystemManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nfp::detail::IUser', 0, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IUser', 1, '0 bytes in - 0 bytes out'),
('nn::nfp::detail::IUser', 2, '0 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>'),
('nn::nfp::detail::IUser', 3, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 4, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 5, '0x10 bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::nfp::detail::IUser', 6, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 7, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>'),
('nn::nfp::detail::IUser', 8, '8 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 9, '8 bytes in - 0 bytes out - InRaw<8,4,0>, Buffer<0,5,0>'),
('nn::nfp::detail::IUser', 10, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 11, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 12, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IUser', 13, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x58>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 14, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 15, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 16, '8 bytes in - 0 bytes out - Buffer<0,0x1A,0x40>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 17, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 18, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 19, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::nfp::detail::IUser', 20, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 21, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 22, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,4,0>'),
('nn::nfp::detail::IUser', 23, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::nfp::detail::IUser', 24, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>, Buffer<0,5,0>'),
('nn::nfp::detail::IUserManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nifm::detail::IGeneralService', 1, '0 bytes in - 0 bytes out - Buffer<0,0x1A,4>'),
('nn::nifm::detail::IGeneralService', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::nifm::detail::IGeneralService', 4, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::nifm::detail::IGeneralService', 5, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x17C>'),
('nn::nifm::detail::IGeneralService', 6, '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::nifm::detail::IGeneralService', 7, '1 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, InRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 8, '0x10 bytes in - 0 bytes out - Buffer<0,0x1A,0x17C>, InRaw<0x10,1,0>'),
('nn::nifm::detail::IGeneralService', 9, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>, Buffer<0,0x19,0x17C>'),
('nn::nifm::detail::IGeneralService', 10, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::nifm::detail::IGeneralService', 11, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::nifm::detail::IGeneralService', 12, '0 bytes in - 4 bytes out - OutRaw<4,1,0>'),
('nn::nifm::detail::IGeneralService', 13, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x34>'),
('nn::nifm::detail::IGeneralService', 14, '0 bytes in - 0x10 bytes out - OutObject<0,0>, OutRaw<0x10,1,0>, Buffer<0,0x19,0x17C>'),
('nn::nifm::detail::IGeneralService', 15, '0 bytes in - 0x16 bytes out - OutRaw<0xD,1,0>, OutRaw<9,1,0xD>'),
('nn::nifm::detail::IGeneralService', 16, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 17, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 18, '0 bytes in - 3 bytes out - OutRaw<3,1,0>'),
('nn::nifm::detail::IGeneralService', 19, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 20, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 21, '0 bytes in - 1 bytes out - OutRaw<1,1,0>, Buffer<0,0x19,4>'),
('nn::nifm::detail::IGeneralService', 22, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::nifm::detail::IGeneralService', 23, '0 bytes in - 0 bytes out'),
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('nn::pcv::IArbitrationManager', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pcv::IImmediateManager', 0, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 0, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::pcv::detail::IPcvService', 1, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::pcv::detail::IPcvService', 2, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 3, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 4, '4 bytes in - 0xC bytes out - OutRaw<0xC,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 5, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 6, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 7, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::pcv::detail::IPcvService', 8, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::pcv::detail::IPcvService', 9, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 10, '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 11, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 12, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 13, '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 14, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 15, '0 bytes in - 0 bytes out'),
('nn::pcv::detail::IPcvService', 16, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::pcv::detail::IPcvService', 17, '0 bytes in - 0 bytes out'),
('nn::pcv::detail::IPcvService', 18, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 19, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 20, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 21, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::pcv::detail::IPcvService', 22, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 23, '8 bytes in - 4 bytes out - Buffer<0,0xA,0>, Buffer<1,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::pcv::detail::IPcvService', 24, '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 25, '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pcv::detail::IPcvService', 26, '4 bytes in - 4 bytes out - Buffer<0,0xA,0>, OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::pdm::detail::INotifyService', 0, ''),
('nn::pdm::detail::INotifyService', 2, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::pdm::detail::INotifyService', 3, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::pdm::detail::INotifyService', 4, '0 bytes in - 0 bytes out'),
('nn::pdm::detail::INotifyService', 5, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::pdm::detail::IQueryService', 0, ''),
('nn::pdm::detail::IQueryService', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::pdm::detail::IQueryService', 2, ''),
('nn::pdm::detail::IQueryService', 3, ''),
('nn::pdm::detail::IQueryService', 4, ''),
('nn::pdm::detail::IQueryService', 5, ''),
('nn::pdm::detail::IQueryService', 6, ''),
('nn::pdm::detail::IQueryService', 7, ''),
('nn::pdm::detail::IQueryService', 8, ''),
('nn::pdm::detail::IQueryService', 9, ''),
('nn::pdm::detail::IQueryService', 10, ''),
('nn::pinmux::IManager', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::pinmux::ISession', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pinmux::ISession', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::pinmux::ISession', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pl::detail::ISharedFontManager', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pl::detail::ISharedFontManager', 1, '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>'),
('nn::pl::detail::ISharedFontManager', 2, '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>'),
('nn::pl::detail::ISharedFontManager', 3, '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>'),
('nn::pl::detail::ISharedFontManager', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::pl::detail::ISharedFontManager', 5, '8 bytes in - 8 bytes out - OutRaw<1,1,0>, OutRaw<4,4,4>, Buffer<0,6,0>, Buffer<1,6,0>, Buffer<2,6,0>, InRaw<8,1,0>'),
('nn::pm::detail::IBootModeInterface', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::pm::detail::IBootModeInterface', 1, '0 bytes in - 0 bytes out'),
('nn::pm::detail::IInformationInterface', 0, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::pm::detail::IShellInterface', 0, ''),
('nn::pm::detail::IShellInterface', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::pm::detail::IShellInterface', 2, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::pm::detail::IShellInterface', 3, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::pm::detail::IShellInterface', 4, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::pm::detail::IShellInterface', 5, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::pm::detail::IShellInterface', 6, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::pm::detail::IShellInterface', 7, '0 bytes in - 0 bytes out'),
('nn::pm::detail::IShellInterface', 8, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::prepo::detail::ipc::IPrepoService', 10100, '8 bytes in - 0 bytes out - takes pid - Buffer<0,9,0>, Buffer<1,5,0>, InRaw<8,8,0>'),
('nn::prepo::detail::ipc::IPrepoService', 10101, '0x18 bytes in - 0 bytes out - takes pid - InRaw<0x10,8,0>, Buffer<0,9,0>, Buffer<1,5,0>, InRaw<8,8,0x10>'),
('nn::prepo::detail::ipc::IPrepoService', 10200, '0 bytes in - 0 bytes out'),
('nn::prepo::detail::ipc::IPrepoService', 10300, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::prepo::detail::ipc::IPrepoService', 20100, '8 bytes in - 0 bytes out - Buffer<0,9,0>, InRaw<8,8,0>, Buffer<1,5,0>'),
('nn::prepo::detail::ipc::IPrepoService', 20101, '0x18 bytes in - 0 bytes out - InRaw<0x10,8,0>, Buffer<0,9,0>, InRaw<8,8,0x10>, Buffer<1,5,0>'),
('nn::prepo::detail::ipc::IPrepoService', 30100, '0 bytes in - 0 bytes out'),
('nn::prepo::detail::ipc::IPrepoService', 40100, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::prepo::detail::ipc::IPrepoService', 40101, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::prepo::detail::ipc::IPrepoService', 90100, '0 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>'),
('nn::psc::sf::IPmControl', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::psc::sf::IPmControl', 1, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::psc::sf::IPmControl', 2, '0 bytes in - 0 bytes out'),
('nn::psc::sf::IPmControl', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::psc::sf::IPmControl', 4, '0 bytes in - 0 bytes out'),
('nn::psc::sf::IPmControl', 5, '0 bytes in - 0 bytes out'),
('nn::psc::sf::IPmControl', 6, ''),
('nn::psc::sf::IPmModule', 0, ''),
('nn::psc::sf::IPmModule', 1, ''),
('nn::psc::sf::IPmModule', 2, '0 bytes in - 0 bytes out'),
('nn::psc::sf::IPmModule', 3, '0 bytes in - 0 bytes out'),
('nn::psc::sf::IPmService', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::psm::IPsmServer', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::psm::IPsmServer', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::psm::IPsmServer', 2, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 3, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 4, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::psm::IPsmServer', 5, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 6, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 7, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::psm::IPsmServer', 8, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 9, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 10, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 11, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmServer', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::psm::IPsmServer', 13, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::psm::IPsmServer', 14, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::psm::IPsmServer', 15, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::psm::IPsmServer', 16, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::psm::IPsmServer', 17, ''),
('nn::psm::IPsmServer', 18, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::psm::IPsmSession', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::psm::IPsmSession', 1, '0 bytes in - 0 bytes out'),
('nn::psm::IPsmSession', 2, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::psm::IPsmSession', 3, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::psm::IPsmSession', 4, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::pwm::IChannelSession', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::pwm::IChannelSession', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::pwm::IChannelSession', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::pwm::IChannelSession', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::pwm::IChannelSession', 4, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::pwm::IChannelSession', 5, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::pwm::IManager', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::pwm::IManager', 1, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::ro::detail::IRoInterface', 0, '0x28 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>, InRaw<8,8,0x20>'),
('nn::ro::detail::IRoInterface', 1, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::ro::detail::IRoInterface', 2, '0x18 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>'),
('nn::ro::detail::IRoInterface', 3, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::ro::detail::IRoInterface', 4, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>, InHandle<0,1>'),
('nn::sasbus::IManager', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::sasbus::ISession', 0, ''),
('nn::sasbus::ISession', 1, ''),
('nn::sasbus::ISession', 2, ''),
('nn::sasbus::ISession', 3, '0 bytes in - 0 bytes out'),
('nn::settings::IFactorySettingsServer', 0, '0 bytes in - 6 bytes out - OutRaw<6,1,0>'),
('nn::settings::IFactorySettingsServer', 1, '0 bytes in - 0x1E bytes out - OutRaw<0x1E,1,0>'),
('nn::settings::IFactorySettingsServer', 2, '0 bytes in - 6 bytes out - OutRaw<6,2,0>'),
('nn::settings::IFactorySettingsServer', 3, '0 bytes in - 6 bytes out - OutRaw<6,2,0>'),
('nn::settings::IFactorySettingsServer', 4, '0 bytes in - 6 bytes out - OutRaw<6,2,0>'),
('nn::settings::IFactorySettingsServer', 5, '0 bytes in - 6 bytes out - OutRaw<6,2,0>'),
('nn::settings::IFactorySettingsServer', 6, '0 bytes in - 6 bytes out - OutRaw<6,1,0>'),
('nn::settings::IFactorySettingsServer', 7, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::IFactorySettingsServer', 8, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>'),
('nn::settings::IFactorySettingsServer', 9, '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>'),
('nn::settings::IFactorySettingsServer', 10, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::settings::IFactorySettingsServer', 11, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::settings::IFactorySettingsServer', 12, '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>'),
('nn::settings::IFactorySettingsServer', 14, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x180>'),
('nn::settings::IFactorySettingsServer', 15, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x240>'),
('nn::settings::IFactorySettingsServer', 16, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x134>'),
('nn::settings::IFactorySettingsServer', 17, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x804>'),
('nn::settings::IFactorySettingsServer', 18, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x134>'),
('nn::settings::IFactorySettingsServer', 19, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x400>'),
('nn::settings::IFactorySettingsServer', 20, '0 bytes in - 0x54 bytes out - OutRaw<0x54,4,0>'),
('nn::settings::IFactorySettingsServer', 21, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x244>'),
('nn::settings::IFactorySettingsServer', 22, '0 bytes in - 0x5A bytes out - OutRaw<0x5A,2,0>'),
('nn::settings::IFirmwareDebugSettingsServer', 2, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>, Buffer<2,5,0>'),
('nn::settings::IFirmwareDebugSettingsServer', 3, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>'),
('nn::settings::IFirmwareDebugSettingsServer', 4, '0 bytes in - 0 bytes out - OutObject<0,0>, Buffer<0,0x19,0x48>'),
('nn::settings::ISettingsItemKeyIterator', 0, '0 bytes in - 0 bytes out'),
('nn::settings::ISettingsItemKeyIterator', 1, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISettingsItemKeyIterator', 2, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::settings::ISettingsServer', 0, '0 bytes in - 8 bytes out - OutRaw<8,1,0>'),
('nn::settings::ISettingsServer', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>'),
('nn::settings::ISettingsServer', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISettingsServer', 4, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 0, '8 bytes in - 0 bytes out - InRaw<8,1,0>'),
('nn::settings::ISystemSettingsServer', 1, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::settings::ISystemSettingsServer', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 3, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>'),
('nn::settings::ISystemSettingsServer', 4, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>'),
('nn::settings::ISystemSettingsServer', 7, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 8, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 9, '0 bytes in - 0x28 bytes out - OutRaw<0x28,4,0>'),
('nn::settings::ISystemSettingsServer', 10, '0x28 bytes in - 0 bytes out - InRaw<0x28,4,0>'),
('nn::settings::ISystemSettingsServer', 11, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::settings::ISystemSettingsServer', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 13, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::settings::ISystemSettingsServer', 14, '0x10 bytes in - 0 bytes out - InRaw<0x10,1,0>'),
('nn::settings::ISystemSettingsServer', 15, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 16, '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 17, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 18, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 19, '4 bytes in - 8 bytes out - OutRaw<8,4,0>, InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 20, '0xC bytes in - 0 bytes out - InRaw<8,4,0>, InRaw<4,4,8>'),
('nn::settings::ISystemSettingsServer', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 22, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::settings::ISystemSettingsServer', 23, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 24, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 25, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 26, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 27, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 28, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 29, '0 bytes in - 0x18 bytes out - OutRaw<0x18,4,0>'),
('nn::settings::ISystemSettingsServer', 30, '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>'),
('nn::settings::ISystemSettingsServer', 31, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 32, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::settings::ISystemSettingsServer', 35, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 36, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 37, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>'),
('nn::settings::ISystemSettingsServer', 38, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<2,6,0>, Buffer<0,0x19,0x48>, Buffer<1,0x19,0x48>'),
('nn::settings::ISystemSettingsServer', 39, '0 bytes in - 0x20 bytes out - OutRaw<0x20,4,0>'),
('nn::settings::ISystemSettingsServer', 40, '0x20 bytes in - 0 bytes out - InRaw<0x20,4,0>'),
('nn::settings::ISystemSettingsServer', 41, '0 bytes in - 0 bytes out - Buffer<0,0x1A,0x100>'),
('nn::settings::ISystemSettingsServer', 42, '0 bytes in - 0 bytes out - Buffer<0,0x19,0x100>'),
('nn::settings::ISystemSettingsServer', 43, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 44, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::settings::ISystemSettingsServer', 45, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 46, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 47, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 48, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 49, '0 bytes in - 8 bytes out - OutRaw<8,4,0>'),
('nn::settings::ISystemSettingsServer', 50, '8 bytes in - 0 bytes out - InRaw<8,4,0>'),
('nn::settings::ISystemSettingsServer', 51, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 52, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 53, '0 bytes in - 0x24 bytes out - OutRaw<0x24,1,0>'),
('nn::settings::ISystemSettingsServer', 54, '0x24 bytes in - 0 bytes out - InRaw<0x24,1,0>'),
('nn::settings::ISystemSettingsServer', 55, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 56, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 57, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 58, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 59, '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 60, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 61, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 62, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 63, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 64, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 65, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 66, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 67, '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>'),
('nn::settings::ISystemSettingsServer', 68, '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>'),
('nn::settings::ISystemSettingsServer', 69, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 70, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 71, '0 bytes in - 0xC bytes out - OutRaw<0xC,4,0>'),
('nn::settings::ISystemSettingsServer', 72, '0xC bytes in - 0 bytes out - InRaw<0xC,4,0>'),
('nn::settings::ISystemSettingsServer', 73, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 74, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 75, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 76, '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>'),
('nn::settings::ISystemSettingsServer', 77, '0 bytes in - 0 bytes out - Buffer<0,0x16,0x80>'),
('nn::settings::ISystemSettingsServer', 78, '0 bytes in - 0 bytes out - Buffer<0,0x15,0x80>'),
('nn::settings::ISystemSettingsServer', 79, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 80, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 81, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 82, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::settings::ISystemSettingsServer', 83, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::settings::ISystemSettingsServer', 84, '0 bytes in - 0x18 bytes out - OutRaw<0x18,1,0>'),
('nn::settings::ISystemSettingsServer', 85, '0x18 bytes in - 0 bytes out - InRaw<0x18,1,0>'),
('nn::settings::ISystemSettingsServer', 86, '0 bytes in - 0x18 bytes out - OutRaw<0x18,4,0>'),
('nn::settings::ISystemSettingsServer', 87, '0x18 bytes in - 0 bytes out - InRaw<0x18,4,0>'),
('nn::settings::ISystemSettingsServer', 88, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 89, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 90, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::settings::ISystemSettingsServer', 91, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 92, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 93, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::settings::ISystemSettingsServer', 94, '0 bytes in - 0x10 bytes out - OutRaw<0x10,8,0>'),
('nn::settings::ISystemSettingsServer', 95, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 96, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 97, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::settings::ISystemSettingsServer', 98, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::settings::ISystemSettingsServer', 99, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 100, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 101, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 102, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 103, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 104, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 105, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 106, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::settings::ISystemSettingsServer', 107, '0 bytes in - 0x2C bytes out - OutRaw<0x2C,4,0>'),
('nn::settings::ISystemSettingsServer', 108, '0x2C bytes in - 0 bytes out - InRaw<0x2C,4,0>'),
('nn::settings::ISystemSettingsServer', 109, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 110, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 111, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 112, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 113, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 114, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 115, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 116, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 117, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 118, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 119, '1 bytes in - 3 bytes out - OutRaw<1,1,0>, OutRaw<1,1,1>, OutRaw<1,1,2>, InRaw<1,1,0>'),
('nn::settings::ISystemSettingsServer', 120, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::settings::ISystemSettingsServer', 121, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::sm::detail::IManagerInterface', 0, '8 bytes in - 0 bytes out - InRaw<8,8,0>, Buffer<0,5,0>, Buffer<1,5,0>'),
('nn::sm::detail::IManagerInterface', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::sm::detail::IUserInterface', 0, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::sm::detail::IUserInterface', 1, '8 bytes in - 0 bytes out - OutHandle<0,2>, InRaw<8,1,0>'),
('nn::sm::detail::IUserInterface', 2, '0x10 bytes in - 0 bytes out - OutHandle<0,2>, InRaw<8,1,0>, InRaw<4,4,0xC>, InRaw<1,1,8>'),
('nn::sm::detail::IUserInterface', 3, '8 bytes in - 0 bytes out - InRaw<8,1,0>'),
('nn::socket::resolver::IResolver', 0, '4 bytes in - 0 bytes out - Buffer<0,5,0>, InRaw<4,4,0>'),
('nn::socket::resolver::IResolver', 1, '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>'),
('nn::socket::resolver::IResolver', 2, '0x10 bytes in - 0xC bytes out - takes pid - InRaw<4,4,4>, InRaw<8,8,8>, InRaw<1,1,0>, Buffer<0,5,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<1,6,0>, OutRaw<4,4,8>'),
('nn::socket::resolver::IResolver', 3, '0x18 bytes in - 0xC bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,0x10>, Buffer<0,5,0>, InRaw<4,4,4>, InRaw<4,4,8>, OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<1,6,0>, OutRaw<4,4,8>'),
('nn::socket::resolver::IResolver', 4, '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>'),
('nn::socket::resolver::IResolver', 5, '4 bytes in - 0 bytes out - InRaw<4,4,0>, Buffer<0,6,0>'),
('nn::socket::resolver::IResolver', 6, '0x10 bytes in - 0xC bytes out - takes pid - InRaw<4,4,4>, InRaw<8,8,8>, InRaw<1,1,0>, Buffer<0,5,0>, Buffer<1,5,0>, Buffer<2,5,0>, Buffer<3,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>, OutRaw<4,4,8>'),
('nn::socket::resolver::IResolver', 7, '0x10 bytes in - 8 bytes out - takes pid - InRaw<4,4,0>, InRaw<8,8,8>, Buffer<0,5,0>, Buffer<1,6,0>, Buffer<2,6,0>, InRaw<4,4,4>, OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::socket::resolver::IResolver', 8, '8 bytes in - 4 bytes out - takes pid - InRaw<8,8,0>, OutRaw<4,4,0>'),
('nn::socket::resolver::IResolver', 9, '0x10 bytes in - 0 bytes out - takes pid - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::socket::sf::IClient', 0, '0x30 bytes in - 4 bytes out - takes pid - OutRaw<4,4,0>, InRaw<8,8,0x20>, InHandle<0,1>, InRaw<8,8,0x28>, InRaw<0x20,4,0>'),
('nn::socket::sf::IClient', 1, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::socket::sf::IClient', 2, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::socket::sf::IClient', 3, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::socket::sf::IClient', 4, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, InRaw<4,4,0>'),
('nn::socket::sf::IClient', 5, '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x22,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, InRaw<0x18,8,8>'),
('nn::socket::sf::IClient', 6, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::socket::sf::IClient', 7, '0 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, OutRaw<4,4,8>, Buffer<2,0x21,0>'),
('nn::socket::sf::IClient', 8, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>'),
('nn::socket::sf::IClient', 9, '8 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, Buffer<1,0x22,0>, OutRaw<4,4,8>'),
('nn::socket::sf::IClient', 10, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>'),
('nn::socket::sf::IClient', 11, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>'),
('nn::socket::sf::IClient', 12, '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>'),
('nn::socket::sf::IClient', 13, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>'),
('nn::socket::sf::IClient', 14, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>'),
('nn::socket::sf::IClient', 15, '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>'),
('nn::socket::sf::IClient', 16, '4 bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, OutRaw<4,4,8>'),
('nn::socket::sf::IClient', 17, '0xC bytes in - 0xC bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x22,0>, OutRaw<4,4,8>'),
('nn::socket::sf::IClient', 18, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::socket::sf::IClient', 19, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, Buffer<2,0x21,0>, Buffer<3,0x21,0>, Buffer<4,0x22,0>, Buffer<5,0x22,0>, Buffer<6,0x22,0>, Buffer<7,0x22,0>, InRaw<4,4,8>'),
('nn::socket::sf::IClient', 20, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::socket::sf::IClient', 21, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, Buffer<0,0x21,0>'),
('nn::socket::sf::IClient', 22, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::socket::sf::IClient', 23, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>'),
('nn::socket::sf::IClient', 24, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>'),
('nn::socket::sf::IClient', 25, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>'),
('nn::socket::sf::IClient', 26, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>'),
('nn::socket::sf::IClient', 27, '0x10 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::socket::sf::IClient', 28, '8 bytes in - 8 bytes out - takes pid - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,0>, Buffer<0,0x22,0>'),
('nn::socket::sf::IClient', 29, '0x20 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x22,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<0x10,8,0x10>'),
('nn::socket::sf::IClient', 30, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, Buffer<0,0x21,0>, InRaw<4,4,4>, Buffer<1,0x21,0>, InRaw<4,4,8>'),
('nn::spl::detail::IGeneralInterface', 0, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>'),
('nn::spl::detail::IGeneralInterface', 1, ''),
('nn::spl::detail::IGeneralInterface', 2, ''),
('nn::spl::detail::IGeneralInterface', 3, ''),
('nn::spl::detail::IGeneralInterface', 4, ''),
('nn::spl::detail::IGeneralInterface', 5, ''),
('nn::spl::detail::IGeneralInterface', 7, ''),
('nn::spl::detail::IGeneralInterface', 9, ''),
('nn::spl::detail::IGeneralInterface', 10, ''),
('nn::spl::detail::IGeneralInterface', 11, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::spl::detail::IGeneralInterface', 12, ''),
('nn::spl::detail::IGeneralInterface', 13, ''),
('nn::spl::detail::IGeneralInterface', 14, ''),
('nn::spl::detail::IGeneralInterface', 15, ''),
('nn::spl::detail::IGeneralInterface', 16, ''),
('nn::spl::detail::IGeneralInterface', 17, ''),
('nn::spl::detail::IGeneralInterface', 18, ''),
('nn::spl::detail::IGeneralInterface', 19, ''),
('nn::spl::detail::IGeneralInterface', 20, ''),
('nn::spl::detail::IGeneralInterface', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::spl::detail::IGeneralInterface', 22, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::spl::detail::IGeneralInterface', 23, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::spl::detail::IGeneralInterface', 24, ''),
('nn::spl::detail::IGeneralInterface', 25, ''),
('nn::spl::detail::IRandomInterface', 0, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::spsm::detail::IPowerStateInterface', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::spsm::detail::IPowerStateInterface', 1, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::spsm::detail::IPowerStateInterface', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::spsm::detail::IPowerStateInterface', 3, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::spsm::detail::IPowerStateInterface', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::spsm::detail::IPowerStateInterface', 5, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::spsm::detail::IPowerStateInterface', 6, ''),
('nn::spsm::detail::IPowerStateInterface', 7, '0 bytes in - 0 bytes out'),
('nn::spsm::detail::IPowerStateInterface', 8, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::spsm::detail::IPowerStateInterface', 9, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::spsm::detail::IPowerStateInterface', 10, '0 bytes in - 0 bytes out'),
('nn::spsm::detail::IPowerStateInterface', 11, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::ssl::sf::ISslConnection', 0, '4 bytes in - 4 bytes out - InRaw<4,4,0>, OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 1, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::ssl::sf::ISslConnection', 2, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 3, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 4, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 5, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 6, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 7, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 8, '0 bytes in - 0 bytes out'),
('nn::ssl::sf::ISslConnection', 9, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, Buffer<0,6,0>'),
('nn::ssl::sf::ISslConnection', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::ssl::sf::ISslConnection', 11, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>'),
('nn::ssl::sf::ISslConnection', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 13, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>'),
('nn::ssl::sf::ISslConnection', 14, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::ssl::sf::ISslConnection', 15, '0 bytes in - 0 bytes out'),
('nn::ssl::sf::ISslConnection', 16, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 17, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 18, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 19, '0 bytes in - 0 bytes out'),
('nn::ssl::sf::ISslConnection', 20, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 22, '8 bytes in - 0 bytes out - InRaw<4,4,4>, InRaw<1,1,0>'),
('nn::ssl::sf::ISslConnection', 23, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::ssl::sf::ISslConnection', 24, '0 bytes in - 8 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::ssl::sf::ISslContext', 0, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::ssl::sf::ISslContext', 1, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::ssl::sf::ISslContext', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::ssl::sf::ISslContext', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslContext', 4, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>, InRaw<4,4,0>'),
('nn::ssl::sf::ISslContext', 5, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>, Buffer<1,5,0>'),
('nn::ssl::sf::ISslContext', 6, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::ssl::sf::ISslContext', 7, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::ssl::sf::ISslContext', 8, '4 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<4,4,0>'),
('nn::ssl::sf::ISslContext', 9, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::ssl::sf::ISslContext', 10, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,5,0>'),
('nn::ssl::sf::ISslContext', 11, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::ssl::sf::ISslService', 0, '0x10 bytes in - 0 bytes out - takes pid - OutObject<0,0>, InRaw<4,4,0>, InRaw<8,8,8>'),
('nn::ssl::sf::ISslService', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::ssl::sf::ISslService', 2, '0 bytes in - 4 bytes out - Buffer<0,6,0>, OutRaw<4,4,0>, Buffer<1,5,0>'),
('nn::ssl::sf::ISslService', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>'),
('nn::ssl::sf::ISslService', 4, '8 bytes in - 0 bytes out - Buffer<0,6,0>, Buffer<1,5,0>, InRaw<8,8,0>'),
('nn::ssl::sf::ISslService', 5, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::tc::IManager', 0, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::tc::IManager', 1, '4 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<4,4,0>'),
('nn::tc::IManager', 2, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::tc::IManager', 3, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::tc::IManager', 4, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::tc::IManager', 5, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tc::IManager', 6, '0 bytes in - 0 bytes out'),
('nn::tc::IManager', 7, '0 bytes in - 0 bytes out'),
('nn::tc::IManager', 8, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::timesrv::detail::service::IStaticService', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::timesrv::detail::service::IStaticService', 1, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::timesrv::detail::service::IStaticService', 2, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::timesrv::detail::service::IStaticService', 3, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::timesrv::detail::service::IStaticService', 4, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::timesrv::detail::service::IStaticService', 100, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::timesrv::detail::service::IStaticService', 101, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::timesrv::detail::service::IStaticService', 200, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::timesrv::detail::service::ISteadyClock', 0, '0 bytes in - 0x18 bytes out - OutRaw<0x18,8,0>'),
('nn::timesrv::detail::service::ISteadyClock', 2, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::timesrv::detail::service::ISteadyClock', 3, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::timesrv::detail::service::ISteadyClock', 100, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::timesrv::detail::service::ISteadyClock', 101, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::timesrv::detail::service::ISteadyClock', 102, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::timesrv::detail::service::ISteadyClock', 200, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::timesrv::detail::service::ISteadyClock', 201, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::timesrv::detail::service::ISystemClock', 0, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::timesrv::detail::service::ISystemClock', 1, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::timesrv::detail::service::ISystemClock', 2, '0 bytes in - 0x20 bytes out - OutRaw<0x20,8,0>'),
('nn::timesrv::detail::service::ISystemClock', 3, '0x20 bytes in - 0 bytes out - InRaw<0x20,8,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 0, '0 bytes in - 0x24 bytes out - OutRaw<0x24,1,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 1, '0x24 bytes in - 0 bytes out - InRaw<0x24,1,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 2, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 3, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, InRaw<4,4,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 4, '0x24 bytes in - 0 bytes out - Buffer<0,0x16,0x4000>, InRaw<0x24,1,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 5, '0 bytes in - 0x10 bytes out - OutRaw<0x10,1,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 100, '8 bytes in - 0x20 bytes out - OutRaw<8,2,0>, OutRaw<0x18,4,8>, InRaw<8,8,0>, Buffer<0,0x15,0x4000>'),
('nn::timesrv::detail::service::ITimeZoneService', 101, '8 bytes in - 0x20 bytes out - OutRaw<8,2,0>, OutRaw<0x18,4,8>, InRaw<8,8,0>'),
('nn::timesrv::detail::service::ITimeZoneService', 201, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<1,0xA,0>, InRaw<8,2,0>, Buffer<0,0x15,0x4000>'),
('nn::timesrv::detail::service::ITimeZoneService', 202, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,0xA,0>, InRaw<8,2,0>'),
('nn::tma::IHtcManager', 0, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,6,0>, Buffer<1,5,0>'),
('nn::tma::IHtcManager', 1, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, Buffer<0,5,0>'),
('nn::tma::IHtcManager', 2, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::tma::IHtcManager', 3, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::tma::IHtcManager', 4, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::tma::IHtcManager', 5, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::tma::IHtcManager', 6, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::tma::IHtcManager', 7, '0 bytes in - 0 bytes out - Buffer<0,6,0>'),
('nn::tma::IHtcManager', 8, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::tma::IHtcsManager', 0, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::tma::IHtcsManager', 1, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>'),
('nn::tma::IHtcsManager', 2, '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>'),
('nn::tma::IHtcsManager', 3, '0x48 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0x44>, InRaw<0x42,2,0>'),
('nn::tma::IHtcsManager', 4, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tma::IHtcsManager', 5, '4 bytes in - 0x4C bytes out - OutRaw<4,4,0x44>, OutRaw<4,4,0x48>, OutRaw<0x42,2,0>, InRaw<4,4,0>'),
('nn::tma::IHtcsManager', 6, '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tma::IHtcsManager', 7, '8 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>, Buffer<0,5,0>, InRaw<4,4,4>'),
('nn::tma::IHtcsManager', 8, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tma::IHtcsManager', 9, '0xC bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nn::tma::IHtcsManager', 10, '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>'),
('nn::tma::IHtcsManager', 11, '0 bytes in - 0x20 bytes out - OutRaw<0x20,1,0>'),
('nn::tma::IHtcsManager', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>'),
('nn::tma::IHtcsManager', 13, '1 bytes in - 4 bytes out - OutRaw<4,4,0>, OutObject<0,0>, InRaw<1,1,0>'),
('nn::tma::IHtcsManager', 100, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::tma::IHtcsManager', 101, '8 bytes in - 0 bytes out - takes pid - InRaw<8,8,0>'),
('nn::tma::ISocket', 0, '0 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>'),
('nn::tma::ISocket', 1, '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>'),
('nn::tma::ISocket', 2, '0x42 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<0x42,2,0>'),
('nn::tma::ISocket', 3, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>'),
('nn::tma::ISocket', 4, '0 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>'),
('nn::tma::ISocket', 5, '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>'),
('nn::tma::ISocket', 6, '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x21,0>, InRaw<4,4,0>'),
('nn::tma::ISocket', 7, '4 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>'),
('nn::tma::ISocket', 8, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tma::ISocket', 9, '0 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>'),
('nn::tma::ISocket', 10, '4 bytes in - 0x48 bytes out - OutRaw<4,4,0x44>, OutObject<0,0>, OutRaw<0x42,2,0>, InRaw<4,4,0>'),
('nn::tma::ISocket', 11, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::tma::ISocket', 12, '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, Buffer<0,0x22,0>, InRaw<4,4,0>'),
('nn::tma::ISocket', 13, '0x18 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<8,8,0x10>, InHandle<0,1>, InRaw<4,4,8>'),
('nn::tma::ISocket', 14, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, InRaw<4,4,0>'),
('nn::tma::ISocket', 15, '0x10 bytes in - 4 bytes out - OutRaw<4,4,0>, OutHandle<0,1>, Buffer<0,0x21,0>, Buffer<1,0x21,0>, InHandle<0,1>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::tma::ISocket', 16, '4 bytes in - 0x10 bytes out - OutRaw<4,4,0>, OutRaw<8,8,8>, InRaw<4,4,0>'),
('nn::ts::server::IMeasurementServer', 0, ''),
('nn::ts::server::IMeasurementServer', 1, ''),
('nn::ts::server::IMeasurementServer', 2, ''),
('nn::ts::server::IMeasurementServer', 3, ''),
('nn::uart::IManager', 0, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::uart::IManager', 1, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::uart::IManager', 2, ''),
('nn::uart::IManager', 3, ''),
('nn::uart::IManager', 4, ''),
('nn::uart::IManager', 5, ''),
('nn::uart::IManager', 6, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::uart::IManager', 7, ''),
('nn::uart::IManager', 8, ''),
('nn::uart::IPortSession', 0, ''),
('nn::uart::IPortSession', 1, ''),
('nn::uart::IPortSession', 2, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::uart::IPortSession', 3, ''),
('nn::uart::IPortSession', 4, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::uart::IPortSession', 5, ''),
('nn::uart::IPortSession', 6, ''),
('nn::uart::IPortSession', 7, '4 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<4,4,0>'),
('nn::usb::hs::IClientEpSession', 0, '0 bytes in - 0 bytes out'),
('nn::usb::hs::IClientEpSession', 1, '0 bytes in - 0 bytes out'),
('nn::usb::hs::IClientEpSession', 2, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::hs::IClientEpSession', 3, '0 bytes in - 0 bytes out'),
('nn::usb::hs::IClientEpSession', 4, ''),
('nn::usb::hs::IClientEpSession', 5, ''),
('nn::usb::hs::IClientEpSession', 6, ''),
('nn::usb::hs::IClientIfSession', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::hs::IClientIfSession', 1, ''),
('nn::usb::hs::IClientIfSession', 2, ''),
('nn::usb::hs::IClientIfSession', 3, ''),
('nn::usb::hs::IClientIfSession', 4, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::usb::hs::IClientIfSession', 5, ''),
('nn::usb::hs::IClientIfSession', 6, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::hs::IClientIfSession', 7, ''),
('nn::usb::hs::IClientIfSession', 8, '0 bytes in - 0 bytes out'),
('nn::usb::hs::IClientIfSession', 9, ''),
('nn::usb::hs::IClientRootSession', 0, ''),
('nn::usb::hs::IClientRootSession', 1, ''),
('nn::usb::hs::IClientRootSession', 2, ''),
('nn::usb::hs::IClientRootSession', 3, ''),
('nn::usb::hs::IClientRootSession', 4, ''),
('nn::usb::hs::IClientRootSession', 5, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::usb::hs::IClientRootSession', 6, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::hs::IClientRootSession', 7, ''),
('nn::usb::pd::detail::IPdCradleManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::usb::pd::detail::IPdCradleSession', 0, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::usb::pd::detail::IPdCradleSession', 1, '4 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<4,4,0>'),
('nn::usb::pd::detail::IPdCradleSession', 2, '0 bytes in - 0 bytes out'),
('nn::usb::pd::detail::IPdCradleSession', 3, ''),
('nn::usb::pd::detail::IPdCradleSession', 4, ''),
('nn::usb::pd::detail::IPdCradleSession', 5, ''),
('nn::usb::pd::detail::IPdCradleSession', 6, ''),
('nn::usb::pd::detail::IPdCradleSession', 7, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::usb::pd::detail::IPdCradleSession', 8, '0 bytes in - 1 bytes out - OutRaw<1,1,0>'),
('nn::usb::pd::detail::IPdManager', 0, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::usb::pd::detail::IPdSession', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::pd::detail::IPdSession', 1, '0 bytes in - 0 bytes out'),
('nn::usb::pd::detail::IPdSession', 2, ''),
('nn::usb::pd::detail::IPdSession', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::usb::pd::detail::IPdSession', 4, '0 bytes in - 0 bytes out'),
('nn::usb::pd::detail::IPdSession', 5, '0 bytes in - 0 bytes out'),
('nn::usb::pd::detail::IPdSession', 6, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::usb::pm::IPmService', 0, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::pm::IPmService', 1, ''),
('nn::usb::pm::IPmService', 2, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::usb::pm::IPmService', 3, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::usb::pm::IPmService', 4, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::usb::pm::IPmService', 5, ''),
('nn::visrv::sf::IApplicationDisplayService', 100, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::visrv::sf::IApplicationDisplayService', 101, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::visrv::sf::IApplicationDisplayService', 102, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::visrv::sf::IApplicationDisplayService', 103, '0 bytes in - 0 bytes out - OutObject<0,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1000, '0 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1010, '0x40 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<0x40,1,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1011, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1020, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1101, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::visrv::sf::IApplicationDisplayService', 1102, '8 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 2020, '0x50 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0x40>, InRaw<0x40,1,0>, InRaw<8,8,0x48>'),
('nn::visrv::sf::IApplicationDisplayService', 2021, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 2030, '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IApplicationDisplayService', 2031, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 2101, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IApplicationDisplayService', 2450, '0x20 bytes in - 0x10 bytes out - takes pid - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>, InRaw<8,8,0x18>'),
('nn::visrv::sf::IApplicationDisplayService', 2451, '0x30 bytes in - 0x10 bytes out - takes pid - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,0x46,0>, InRaw<8,8,0x10>, InRaw<8,8,0x18>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<4,4,0xC>, InRaw<8,8,0x20>, InRaw<8,8,0x28>'),
('nn::visrv::sf::IApplicationDisplayService', 2460, '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::IApplicationDisplayService', 5202, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationDisplayService', 5203, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::visrv::sf::IApplicationRootService', 0, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 1102, '8 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2010, '0x18 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,8>, InRaw<4,4,0>, InRaw<8,8,0x10>'),
('nn::visrv::sf::IManagerDisplayService', 2011, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2050, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2051, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2052, '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::IManagerDisplayService', 2053, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2054, '0x10 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::IManagerDisplayService', 2055, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2300, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2301, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2302, '8 bytes in - 0 bytes out - OutHandle<0,1>, InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 2402, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::IManagerDisplayService', 4201, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 4203, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 4205, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 6000, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 6001, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerDisplayService', 6002, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::visrv::sf::IManagerDisplayService', 7000, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::visrv::sf::IManagerDisplayService', 8000, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::visrv::sf::IManagerDisplayService', 8100, '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>'),
('nn::visrv::sf::IManagerRootService', 2, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::visrv::sf::IManagerRootService', 3, '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,8>, InRaw<8,1,0>'),
('nn::visrv::sf::ISystemDisplayService', 1200, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 1202, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 1203, '8 bytes in - 8 bytes out - OutRaw<4,4,0>, OutRaw<4,4,4>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 1204, '0x18 bytes in - 0 bytes out - InRaw<8,8,0x10>, InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>, InRaw<4,4,0xC>'),
('nn::visrv::sf::ISystemDisplayService', 2201, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>, InRaw<4,4,4>'),
('nn::visrv::sf::ISystemDisplayService', 2203, '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>, InRaw<8,8,0x10>'),
('nn::visrv::sf::ISystemDisplayService', 2204, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 2205, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::ISystemDisplayService', 2207, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<1,1,0>'),
('nn::visrv::sf::ISystemDisplayService', 2209, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 2312, '0x10 bytes in - 0x10 bytes out - OutRaw<8,8,0>, OutRaw<8,8,8>, Buffer<0,6,0>, InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 2400, '0x10 bytes in - 8 bytes out - takes pid - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::ISystemDisplayService', 2401, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 2402, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3000, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3001, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3002, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, Buffer<0,6,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3200, '8 bytes in - 0x10 bytes out - OutRaw<0x10,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3201, '0x18 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<0x10,4,8>'),
('nn::visrv::sf::ISystemDisplayService', 3202, '8 bytes in - 8 bytes out - OutRaw<8,8,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3203, '0x10 bytes in - 0 bytes out - InRaw<8,8,0>, InRaw<8,8,8>'),
('nn::visrv::sf::ISystemDisplayService', 3204, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3205, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 3206, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3207, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 3208, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3209, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 3210, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3211, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 3214, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3215, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemDisplayService', 3216, '8 bytes in - 4 bytes out - OutRaw<4,4,0>, InRaw<8,8,0>'),
('nn::visrv::sf::ISystemDisplayService', 3217, '0x10 bytes in - 0 bytes out - InRaw<8,8,8>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemRootService', 1, '4 bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,0>'),
('nn::visrv::sf::ISystemRootService', 3, '0xC bytes in - 0 bytes out - OutObject<0,0>, InRaw<4,4,8>, InRaw<8,1,0>'),
('nn::wlan::detail::IInfraManager', 0, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 1, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 2, ''),
('nn::wlan::detail::IInfraManager', 3, ''),
('nn::wlan::detail::IInfraManager', 4, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 5, ''),
('nn::wlan::detail::IInfraManager', 6, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 7, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 8, ''),
('nn::wlan::detail::IInfraManager', 9, ''),
('nn::wlan::detail::IInfraManager', 10, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 11, ''),
('nn::wlan::detail::IInfraManager', 12, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 13, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 14, ''),
('nn::wlan::detail::IInfraManager', 15, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 16, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 17, ''),
('nn::wlan::detail::IInfraManager', 18, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 19, ''),
('nn::wlan::detail::IInfraManager', 20, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::IInfraManager', 21, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 22, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 23, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::IInfraManager', 24, ''),
('nn::wlan::detail::IInfraManager', 25, ''),
('nn::wlan::detail::ILocalGetActionFrame', 0, ''),
('nn::wlan::detail::ILocalGetFrame', 0, ''),
('nn::wlan::detail::ILocalManager', 0, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 1, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 2, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 3, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 4, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 5, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 6, ''),
('nn::wlan::detail::ILocalManager', 7, ''),
('nn::wlan::detail::ILocalManager', 8, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 9, ''),
('nn::wlan::detail::ILocalManager', 10, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 11, ''),
('nn::wlan::detail::ILocalManager', 12, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 13, ''),
('nn::wlan::detail::ILocalManager', 14, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 15, ''),
('nn::wlan::detail::ILocalManager', 16, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 17, ''),
('nn::wlan::detail::ILocalManager', 18, ''),
('nn::wlan::detail::ILocalManager', 19, ''),
('nn::wlan::detail::ILocalManager', 20, '0 bytes in - 0 bytes out - OutHandle<0,1>'),
('nn::wlan::detail::ILocalManager', 21, ''),
('nn::wlan::detail::ILocalManager', 22, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 23, ''),
('nn::wlan::detail::ILocalManager', 24, ''),
('nn::wlan::detail::ILocalManager', 25, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 26, ''),
('nn::wlan::detail::ILocalManager', 27, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 28, ''),
('nn::wlan::detail::ILocalManager', 29, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 30, ''),
('nn::wlan::detail::ILocalManager', 31, ''),
('nn::wlan::detail::ILocalManager', 32, ''),
('nn::wlan::detail::ILocalManager', 33, ''),
('nn::wlan::detail::ILocalManager', 34, ''),
('nn::wlan::detail::ILocalManager', 35, ''),
('nn::wlan::detail::ILocalManager', 36, ''),
('nn::wlan::detail::ILocalManager', 37, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ILocalManager', 38, ''),
('nn::wlan::detail::ILocalManager', 39, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 40, ''),
('nn::wlan::detail::ILocalManager', 41, ''),
('nn::wlan::detail::ILocalManager', 42, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 43, '0 bytes in - 4 bytes out - OutRaw<4,4,0>'),
('nn::wlan::detail::ILocalManager', 44, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ISocketGetFrame', 0, ''),
('nn::wlan::detail::ISocketManager', 0, '0 bytes in - 0 bytes out - Buffer<0,5,0>'),
('nn::wlan::detail::ISocketManager', 1, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ISocketManager', 2, ''),
('nn::wlan::detail::ISocketManager', 3, '4 bytes in - 0 bytes out - InRaw<4,4,0>'),
('nn::wlan::detail::ISocketManager', 4, ''),
('nn::wlan::detail::ISocketManager', 5, ''),
('nn::wlan::detail::ISocketManager', 6, ''),
('nn::wlan::detail::ISocketManager', 7, '1 bytes in - 0 bytes out - InRaw<1,1,0>'),
('nn::wlan::detail::ISocketManager', 8, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::wlan::detail::ISocketManager', 9, ''),
('nn::wlan::detail::ISocketManager', 10, '0 bytes in - 0 bytes out'),
('nn::wlan::detail::ISocketManager', 11, '0 bytes in - 0 bytes out'),
('nn::xcd::detail::ISystemServer', 0, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::xcd::detail::ISystemServer', 1, ''),
('nn::xcd::detail::ISystemServer', 2, '8 bytes in - 1 bytes out - OutRaw<1,1,0>, InRaw<8,8,0>'),
('nn::xcd::detail::ISystemServer', 3, ''),
('nn::xcd::detail::ISystemServer', 4, ''),
('nn::xcd::detail::ISystemServer', 5, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::xcd::detail::ISystemServer', 10, ''),
('nn::xcd::detail::ISystemServer', 11, ''),
('nn::xcd::detail::ISystemServer', 12, ''),
('nn::xcd::detail::ISystemServer', 13, '8 bytes in - 0 bytes out - InRaw<8,8,0>'),
('nn::xcd::detail::ISystemServer', 14, ''),
('nn::xcd::detail::ISystemServer', 15, ''),
('nn::xcd::detail::ISystemServer', 16, ''),
('nn::xcd::detail::ISystemServer', 17, ''),
('nn::xcd::detail::ISystemServer', 18, ''),
('nn::xcd::detail::ISystemServer', 19, ''),
('nn::xcd::detail::ISystemServer', 20, ''),
('nn::xcd::detail::ISystemServer', 101, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nn::xcd::detail::ISystemServer', 102, '0 bytes in - 8 bytes out - OutRaw<8,8,0>'),
('nns::hosbinder::IHOSBinderDriver', 0, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,5,0>, Buffer<1,6,0>, InRaw<4,4,8>'),
('nns::hosbinder::IHOSBinderDriver', 1, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, InRaw<4,4,8>'),
('nns::hosbinder::IHOSBinderDriver', 2, '8 bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, OutHandle<0,1>'),
('nns::hosbinder::IHOSBinderDriver', 3, '0xC bytes in - 0 bytes out - InRaw<4,4,0>, InRaw<4,4,4>, Buffer<0,0x21,0>, Buffer<1,0x22,0>, InRaw<4,4,8>'),
('nns::nvdrv::INvDrvServices', 0, ''),
('nns::nvdrv::INvDrvServices', 1, ''),
('nns::nvdrv::INvDrvServices', 2, ''),
('nns::nvdrv::INvDrvServices', 3, ''),
('nns::nvdrv::INvDrvServices', 4, ''),
('nns::nvdrv::INvDrvServices', 5, ''),
('nns::nvdrv::INvDrvServices', 6, ''),
('nns::nvdrv::INvDrvServices', 7, ''),
('nns::nvdrv::INvDrvServices', 8, ''),
('nns::nvdrv::INvDrvServices', 9, ''),
('nns::nvdrv::INvDrvServices', 10, ''),
('nns::nvdrv::INvDrvServices', 11, ''),
('nns::nvdrv::INvDrvServices', 12, ''),
('nns::nvdrv::INvDrvServices', 13, ''),
('nv::gemcontrol::INvGemControl', 0, ''),
('nv::gemcontrol::INvGemControl', 1, ''),
('nv::gemcontrol::INvGemControl', 2, ''),
('nv::gemcontrol::INvGemControl', 3, ''),
('nv::gemcontrol::INvGemControl', 4, ''),
('nv::gemcontrol::INvGemControl', 5, ''),
('nv::gemcontrol::INvGemControl', 6, ''),
('nv::gemcontrol::INvGemControl', 7, ''),
)
smapping = {
# builtins
'0100000000000000': {
'fsp-srv': 'nn::fssrv::sf::IFileSystemProxy',
'fsp-ldr': 'nn::fssrv::sf::IFileSystemProxyForLoader',
'fsp-pr': 'nn::fssrv::sf::IProgramRegistry',
},
'0100000000000001': {
'ldr:shel': 'nn::ldr::detail::IShellInterface',
'ldr:pm': 'nn::ldr::detail::IProcessManagerInterface',
'ldr:dmnt': 'nn::ldr::detail::IDebugMonitorInterface',
},
'0100000000000002': {
'lr': 'nn::lr::ILocationResolverManager',
'ncm': 'nn::ncm::IContentManager',
},
'0100000000000003': {
'pm:info': 'nn::pm::detail::IInformationInterface',
'pm:shell': 'nn::pm::detail::IShellInterface',
'pm:bm': 'nn::pm::detail::IBootModeInterface',
},
'0100000000000004': {
'sm:': 'nn::sm::detail::IUserInterface',
'sm:m': 'nn::sm::detail::IManagerInterface',
},
'0100000000000028': {
'spl:': 'nn::spl::detail::IGeneralInterface',
'csrng': 'nn::spl::detail::IRandomInterface',
},
# not builtins
'0100000000000006': { # usb
'usb:ds': 'nn::usb::ds::IDsService',
'usb:hs': 'nn::usb::hs::IClientRootSession',
'usb:pd': 'nn::usb::pd::detail::IPdManager',
'usb:pd:c': 'nn::usb::pd::detail::IPdCradleManager',
'usb:pm': 'nn::usb::pm::IPmService',
},
'0100000000000009': { # settings
'set': 'nn::settings::ISettingsServer',
'set:cal': 'nn::settings::IFactorySettingsServer',
'set:fd': 'nn::settings::IFirmwareDebugSettingsServer',
'set:sys': 'nn::settings::ISystemSettingsServer',
},
'010000000000000A': { # Bus
'gpio': 'nn::gpio::IManager',
'i2c': 'nn::i2c::IManager',
'i2c:pcv': 'nn::i2c::IManager',
'pinmux': 'nn::pinmux::IManager',
'pwm': 'nn::pwm::IManager',
'sasbus': 'nn::sasbus::IManager',
'uart': 'nn::uart::IManager',
},
'010000000000000B': { # bluetooth
'btdrv': 'nn::bluetooth::IBluetoothDriver',
},
'010000000000000C': { # bcat
'bcat:a': 'nn::bcat::detail::ipc::IServiceCreator',
'bcat:m': 'nn::bcat::detail::ipc::IServiceCreator',
'bcat:s': 'nn::bcat::detail::ipc::IServiceCreator',
'bcat:u': 'nn::bcat::detail::ipc::IServiceCreator',
'news:a': 'nn::news::detail::ipc::IServiceCreator',
'news:c': 'nn::news::detail::ipc::IServiceCreator',
'news:m': 'nn::news::detail::ipc::IServiceCreator',
'news:p': 'nn::news::detail::ipc::IServiceCreator',
'news:v': 'nn::news::detail::ipc::IServiceCreator',
'prepo:a': 'nn::prepo::detail::ipc::IPrepoService',
'prepo:m': 'nn::prepo::detail::ipc::IPrepoService',
'prepo:s': 'nn::prepo::detail::ipc::IPrepoService',
'prepo:u': 'nn::prepo::detail::ipc::IPrepoService',
},
'010000000000000E': { # friends
'friend:a': 'nn::friends::detail::ipc::IServiceCreator',
'friend:m': 'nn::friends::detail::ipc::IServiceCreator',
'friend:s': 'nn::friends::detail::ipc::IServiceCreator',
'friend:u': 'nn::friends::detail::ipc::IServiceCreator',
'friend:v': 'nn::friends::detail::ipc::IServiceCreator',
},
'010000000000000F': { # nifm
'nifm:a': 'nn::nifm::detail::IStaticService',
'nifm:s': 'nn::nifm::detail::IStaticService',
'nifm:u': 'nn::nifm::detail::IStaticService',
},
'0100000000000010': { # ptm
'fan': 'nn::fan::detail::IManager',
'psm': 'nn::psm::IPsmServer',
'tc': 'nn::tc::IManager',
'ts': 'nn::ts::server::IMeasurementServer',
},
'0100000000000012': { # bsdsocket
'bsd:s': 'nn::socket::sf::IClient', # ?
'bsd:u': 'nn::socket::sf::IClient', # ?
'bsdcfg': 'nn::bsdsocket::cfg::ServerInterface',
'ethc:c': 'nn::eth::sf::IEthInterface',
'ethc:i': 'nn::eth::sf::IEthInterfaceGroup',
'nsd:a': 'nn::nsd::detail::IManager', # ?
'nsd:u': 'nn::nsd::detail::IManager', # ?
'sfdnsres': 'nn::socket::resolver::IResolver',
},
'0100000000000013': { # hid
'ahid:cd': 'nn::ahid::IServerSession', # ?
'ahid:hdr': 'nn::ahid::hdr::ISession', # ?
'hid': 'nn::hid::IHidServer',
'hid:dbg': 'nn::hid::IHidDebugServer',
'hid:sys': 'nn::hid::IHidSystemServer',
'hid:tmp': 'nn::hid::IHidTemporaryServer',
'irs': 'nn::irsensor::IIrSensorServer',
'irs:sys': 'nn::irsensor::IIrSensorSystemServer',
'xcd:sys': 'nn::xcd::detail::ISystemServer',
},
'0100000000000014': { # audio
'audctl': 'nn::audioctrl::detail::IAudioController',
'audin:a': 'nn::audio::detail::IAudioInManagerForApplet',
'audin:d': 'nn::audio::detail::IAudioInManagerForDebugger',
'audin:u': 'nn::audio::detail::IAudioInManager',
'audout:a': 'nn::audio::detail::IAudioOutManagerForApplet',
'audout:d': 'nn::audio::detail::IAudioOutManagerForDebugger',
'audout:u': 'nn::audio::detail::IAudioOutManager',
'audrec:a': 'nn::audio::detail::IFinalOutputRecorderManagerForApplet',
'audrec:d': 'nn::audio::detail::IFinalOutputRecorderManagerForDebugger',
'audrec:u': 'nn::audio::detail::IFinalOutputRecorderManager',
'audren:a': 'nn::audio::detail::IAudioRendererManagerForApplet',
'audren:d': 'nn::audio::detail::IAudioRendererManagerForDebugger',
'audren:u': 'nn::audio::detail::IAudioRendererManager',
'hwopus': 'nn::codec::detail::IHardwareOpusDecoderManager',
},
'0100000000000015': { # LogManager.Prod
'lm': 'nn::lm::ILogService',
},
'0100000000000016': { # wlan
'wlan:inf': 'nn::wlan::detail::IInfraManager',
'wlan:lcl': 'nn::wlan::detail::ILocalManager',
'wlan:lg': 'nn::wlan::detail::ILocalGetFrame',
'wlan:lga': 'nn::wlan::detail::ILocalGetActionFrame',
'wlan:soc': 'nn::wlan::detail::ISocketManager',
'wlan:sg': 'nn::wlan::detail::ISocketGetFrame',
},
'0100000000000018': { # ldn
'ldn:m': 'nn::ldn::detail::IMonitorServiceCreator',
'ldn:s': 'nn::ldn::detail::ISystemServiceCreator',
'ldn:u': 'nn::ldn::detail::IUserServiceCreator',
},
'0100000000000019': { # nvservices
'nvdrv': 'nns::nvdrv::INvDrvServices',
'nvdrv:a': 'nns::nvdrv::INvDrvServices',
'nvdrv:s': 'nns::nvdrv::INvDrvServices',
'nvdrv:t': 'nns::nvdrv::INvDrvServices',
'nvdrvdbg': 'nns::nvdrv::INvDrvDebugFSServices',
'nvgem:c': 'nv::gemcontrol::INvGemControl',
'nvgem:cd': 'nv::gemcoredump::INvGemCoreDump',
},
'010000000000001A': { # pcv
'bpc': 'nn::bpc::IBoardPowerControlManager',
'bpc:r': 'nn::bpc::IRtcManager',
'pcv': 'nn::pcv::detail::IPcvService',
'pcv:arb': 'nn::pcv::IArbitrationManager',
'pcv:imm': 'nn::pcv::IImmediateManager',
'time:u': 'nn::timesrv::detail::service::IStaticService',
'time:a': 'nn::timesrv::detail::service::IStaticService',
'time:s': 'nn::timesrv::detail::service::IStaticService',
'time:r': 'nn::timesrv::detail::service::IStaticService',
},
'010000000000001B': { # ppc
'apm': 'nn::apm::IManager',
'apm:p': 'nn::apm::IManagerPrivileged',
'apm:sys': 'nn::apm::ISystemManager',
'fgm:0': 'nn::fgm::sf::ISession',
'fgm': 'nn::fgm::sf::ISession',
'fgm:9': 'nn::fgm::sf::ISession', # no nn::fgm::sf::IDebugger ?
},
'010000000000001C': { # nvnflinger
'dispdrv': 'nns::hosbinder::IHOSBinderDriver',
},
'010000000000001D': { # pcie.withoutHb
'pcie': 'nn::pcie::detail::IManager',
},
'010000000000001E': { # account
'acc:aa': 'nn::account::IBaasAccessTokenAccessor', # ?
'acc:su': 'nn::account::IAccountServiceForAdministrator', # ?
'acc:u1': 'nn::account::IAccountServiceForSystemService', # ?
'acc:u0': 'nn::account::IAccountServiceForApplication', # ?
},
'010000000000001F': { # ns
'aoc:u': 'nn::aocsrv::detail::IAddOnContentManager',
'ns:am2': 'nn::ns::detail::IServiceGetterInterface',
'ns:dev': 'nn::ns::detail::IDevelopInterface',
'ns:ec': 'nn::ns::detail::IServiceGetterInterface',
'ns:rid': 'nn::ns::detail::IServiceGetterInterface',
'ns:rt': 'nn::ns::detail::IServiceGetterInterface',
'ns:su': 'nn::ns::detail::ISystemUpdateInterface',
'ns:vm': 'nn::ns::detail::IVulnerabilityManagerInterface',
'ns:web': 'nn::ns::detail::IServiceGetterInterface',
'ovln:rcv': 'nn::ovln::IReceiverService',
'ovln:snd': 'nn::ovln::ISenderService',
},
'0100000000000020': { # nfc
'nfc:am': 'nn::nfc::am::detail::IAmManager',
'nfc:mf:u': 'nn::nfc::mifare::detail::IUserManager',
'nfc:sys': 'nn::nfc::detail::ISystemManager',
'nfc:user': 'nn::nfc::detail::IUserManager',
'nfp:dbg': 'nn::nfp::detail::IDebugManager',
'nfp:sys': 'nn::nfp::detail::ISystemManager',
'nfp:user': 'nn::nfp::detail::IUserManager',
},
'0100000000000021': { # psc
'psc:c': 'nn::psc::sf::IPmControl', # ?
'psc:m': 'nn::psc::sf::IPmService', # ?
},
'0100000000000022': { # capsrv
'caps:a': 'nn::capsrv::sf::IAlbumAccessorService',
'caps:c': 'nn::capsrv::sf::IAlbumControlService',
},
'0100000000000023': { # am
'appletAE': 'nn::am::service::IAllSystemAppletProxiesService',
'appletOE': 'nn::am::service::IApplicationProxyService',
'idle:sys': 'nn::idle::detail::IPolicyManagerSystem',
'omm': 'nn::omm::detail::IOperationModeManager',
'spsm': 'nn::spsm::detail::IPowerStateInterface',
},
'0100000000000024': { # ssl
'ssl': 'nn::ssl::sf::ISslService', # ?
},
'0100000000000025': { # nim
'nim': 'nn::nim::detail::INetworkInstallManager',
'nim:shp': 'nn::nim::detail::IShopServiceManager',
'ntc': 'nn::ntc::detail::service::IStaticService',
},
'0100000000000029': { # lbl
'lbl': 'nn::lbl::detail::ILblController',
},
'010000000000002A': { # btm
'btm': 'nn::btm::IBtm',
'btm:dbg': 'nn::btm::IBtmDebug',
'btm:sys': 'nn::btm::IBtmSystem',
},
'010000000000002B': { # erpt
'erpt:c': 'nn::erpt::sf::IContext',
'erpt:r': 'nn::erpt::sf::ISession',
},
'010000000000002D': { # vi
'caps:sc': 'nn::capsrv::sf::IScreenShotControlService',
'caps:ss': 'nn::capsrv::sf::IScreenShotService',
'caps:su': 'nn::capsrv::sf::IScreenShotApplicationService',
'cec-mgr': 'nn::cec::ICecManager',
'mm:u': 'nn::mmnv::IRequest',
'vi:m': 'nn::visrv::sf::IManagerRootService',
'vi:s': 'nn::visrv::sf::ISystemRootService',
'vi:u': 'nn::visrv::sf::IApplicationRootService',
},
'010000000000002E': { # pctl
'pctl': 'nn::pctl::detail::ipc::IParentalControlServiceFactory',
'pctl:a': 'nn::pctl::detail::ipc::IParentalControlServiceFactory',
'pctl:r': 'nn::pctl::detail::ipc::IParentalControlServiceFactory',
'pctl:s': 'nn::pctl::detail::ipc::IParentalControlServiceFactory',
},
'010000000000002F': { # npns
'npns:s': 'nn::npns::INpnsSystem',
'npns:u': 'nn::npns::INpnsUser',
},
'0100000000000030': { # eupld
'eupld:c': 'nn::eupld::sf::IControl',
'eupld:r': 'nn::eupld::sf::IRequest',
},
'0100000000000031': { # glue
'arp:r': 'nn::arp::detail::IReader',
'arp:w': 'nn::arp::detail::IWriter',
'bgtc:sc': 'nn::bgtc::IStateControlService',
'bgtc:t': 'nn::bgtc::ITaskService',
},
'0100000000000033': { # es
'es': 'nn::es::IETicketService',
},
'0100000000000034': { # fatal
'fatal:p': 'nn::fatalsrv::IPrivateService',
'fatal:u': 'nn::fatalsrv::IService',
},
'0100000000000037': { # ro
'ldr:ro': 'nn::ro::detail::IRoInterface',
'ro:dmnt': 'nn::ro::detail::IDebugMonitorInterface', # ?
},
'0100000000000039': { # sdb
'mii:e': 'nn::mii::detail::IStaticService',
'mii:u': 'nn::mii::detail::IStaticService',
'pdm:ntfy': 'nn::pdm::detail::INotifyService',
'pdm:qry': 'nn::pdm::detail::IQueryService',
'pl:u': 'nn::pl::detail::ISharedFontManager',
},
}
import hashlib, random, re
clsToInterface = {}
for x in smapping.values():
for k, v in x.items():
if v not in clsToInterface:
clsToInterface[v] = []
clsToInterface[v].append(k)
clses = {}
for cname, cmdid, name, io, params in info:
if cname not in clses:
clses[cname] = {}
#if params != '':
clses[cname][cmdid] = name, io, params
reformedServer = {}
reformedClient = {}
for cname, cmds in serverInfo.items():
if cname not in reformedServer:
reformedServer[cname] = {}
for cmdid, cmd in cmds.items():
cmdid = int(cmdid)
reformedServer[cname][cmdid] = cmd['name'] if 'name' in cmd else '', '', cmd['args'] if 'args' in cmd else ''
for cname, cmdid, io in clientInfo:
if cname not in reformedClient:
reformedClient[cname] = {}
reformedClient[cname][cmdid] = '', io, ''
mset = lambda x: set((cname, cmdid) for cname, cmds in x.items() for cmdid in cmds.keys())
allCmds = mset(reformedClient).union(mset(reformedServer))
for cname, cmdid in allCmds:
cdef = reformedClient[cname][cmdid] if cname in reformedClient and cmdid in reformedClient[cname] else None
sdef = reformedServer[cname][cmdid] if cname in reformedServer and cmdid in reformedServer[cname] else None
if cdef is not None and sdef is None:
idef = cdef
elif cdef is None and sdef is not None:
idef = sdef
else:
idef = sdef[0], cdef[1], sdef[2]
if idef[1] == '':
idef = idef[0], 'UNK bytes in - UNK bytes out', idef[2]
if cname not in clses:
clses[cname] = {}
if cmdid in clses[cname]:
cur = clses[cname][cmdid]
if cur == idef:
continue
cur = list(cur)
for i in xrange(3):
if len(cur[i]) < len(idef[i]):
cur[i] = idef[i]
clses[cname][cmdid] = tuple(cur)
else:
clses[cname][cmdid] = idef
def parseAnyInt(x):
return int(x[2:], 16) if x.startswith('0x') else int(x)
def emitInt(x):
return '0x%x' % x if x > 9 else str(x)
def csplit(inp):
def findMatch(i, ch):
while i < len(inp):
mch = inp[i]
if mch == ch:
return i
elif mch == '<':
i = findMatch(i + 1, '>')
elif mch == '(':
i = findMatch(i + 1, ')')
elif mch == '[':
i = findMatch(i + 1, ']')
i += 1
out = []
i = 0
last = 0
while i < len(inp):
mch = inp[i]
if mch == ',':
if i != last:
out.append(inp[last:i].strip(' ,'))
last = i
elif mch == '<':
i = findMatch(i + 1, '>')
elif mch == '(':
i = findMatch(i + 1, ')')
elif mch == '[':
i = findMatch(i + 1, ']')
i += 1
if last != i:
out.append(inp[last:i].strip(' ,'))
return out
def splitIOSpec(cs):
ins, outs = [], []
for elem in cs:
if elem.startswith('InRaw<'):
ins.append(elem)
elif elem.startswith('OutRaw<'):
outs.append(elem)
elif elem.startswith('Buffer<'):
btype = parseAnyInt(elem.split(',')[1])
if btype & 1:
ins.append(elem)
else:
assert btype & 2
outs.append(elem)
elif elem.startswith('InObject<'):
ins.append(elem)
elif elem.startswith('OutObject<'):
outs.append(elem)
elif elem.startswith('InHandle<'):
ins.append(elem)
elif elem.startswith('OutHandle<'):
outs.append(elem)
else:
print elem
assert False
return ins, outs
def splitIOParams(params):
ins, outs = [], []
for elem in params:
if elem.startswith('nn::sf::Out<nn::sf::SharedPointer<'):
outs.append(elem)
elif elem.startswith('nn::sf::Out<'):
outs.append(elem)
elif elem.startswith('nn::sf::OutBuffer'):
outs.append(elem)
elif elem.startswith('nn::sf::OutArray<'):
outs.append(elem)
elif elem.startswith('nn::sf::InBuffer'):
ins.append(elem)
elif elem.startswith('nn::sf::InArray<'):
ins.append(elem)
else:
assert not elem.startswith('nn::sf::Out') and not elem.startswith('nn::sf::In')
ins.append(elem)
return [x.replace(' ', ' ').replace(' &', '&') for x in ins], [x.replace(' ', ' ').replace(' &', '&') for x in outs]
def parseSpecType(type):
a, b = type[:-1].split('<')
return [a] + [parseAnyInt(x.strip()) for x in b.split(',')]
intTypes = {
'bool' : 'bool',
'unsigned char' : 'u8',
'char' : 'i8',
'signed char' : 'i8',
'int' : 'i32',
'unsigned int' : 'u32',
'long' : 'i64',
'unsigned long' : 'u64',
'float' : 'f32',
}
def remapProtoType(type, stype):
type = type.replace('const&', '')
if type.startswith('nn::sf::Out<'):
type = csplit(type.split('nn::sf::Out<', 1)[1])[0]
elif type.startswith('nn::sf::OutArray<'):
type = type.split('nn::sf::OutArray<', 1)[1].split('>', 1)[0] + '[]'
elif type.startswith('nn::sf::InArray<'):
type = type.split('nn::sf::InArray<', 1)[1].split('>', 1)[0] + '[]'
elif type.startswith('nn::sf::InBuffer'):
type = 'unknown'
type = type.strip()
if type.startswith('nn::sf::SharedPointer<'):
type = type.split('nn::sf::SharedPointer<', 1)[1].split('>', 1)[0]
elif type.startswith('nn::sf::NativeHandle'):
type = 'KObject'
elif type.startswith('nn::util::BitFlagSet<'):
type = csplit(type.split('nn::util::BitFlagSet<', 1)[1][:-1])[1]
type = type.strip()
if type in intTypes:
type = intTypes[type]
elif type.endswith('[]') and type[:-2] in intTypes:
type = intTypes[type[:-2]] + '[]'
stype = parseSpecType(stype)
if stype[0] == 'OutObject' or stype[0] == 'InObject':
return 'object', type
elif stype[0] == 'InRaw' or stype[0] == 'OutRaw':
_, size, alignment, offset = stype
return 'data', type, size, alignment, offset
elif stype[0] == 'Buffer':
if type.endswith('[]'):
type = type[:-2]
assert stype[3] == 0
return 'array', type, stype[2]
else:
type = 'unknown' if type == 'nn::sf::OutBuffer' else type
return 'buffer', type, stype[2], stype[3]
elif stype[0] == 'InHandle' or stype[0] == 'OutHandle':
assert type == 'KObject'
return 'handle',
defaultTypes = {
-1: 'unknown',
1: 'u8',
2: 'u16',
4: 'u32',
8: 'u64',
16: 'u128'
}
def emitDefaultOrBytes(size):
if size in defaultTypes:
return defaultTypes[size]
return 'bytes<%s>' % emitInt(size)
def generateType(stype):
stype = parseSpecType(stype)
if stype[0] == 'InHandle' or stype[0] == 'OutHandle':
return 'handle',
elif stype[0] == 'InObject' or stype[0] == 'OutObject':
return 'object', None
elif stype[0] == 'InRaw' or stype[0] == 'OutRaw':
_, size, alignment, offset = stype
return 'data', emitDefaultOrBytes(size), size, alignment, offset
elif stype[0] == 'Buffer':
return 'buffer', None, stype[2], stype[3]
dataSizes = {}
bufferTypes = set()
def defineSizes(types):
for elem in types:
if (elem[0] == 'buffer' or elem[0] == 'array') and elem[1] is not None:
bufferTypes.add(elem[1])
continue
elif elem[0] != 'data':
continue
elif elem[1] in dataSizes:
assert dataSizes[elem[1]] == elem[2]
continue
dataSizes[elem[1]] = elem[2]
def sortTyped(typed):
return sorted(typed, key=lambda x: dict(data=0, pid=1, handle=2, object=3, buffer=4, array=4)[x[0]])
def sortData(elems):
data = [elem for elem in elems if elem[0] == 'data']
data.sort(key=lambda x: x[4])
return data + elems[len(data):]
def filterAlignment(elems):
cur = 0
for i, elem in enumerate(elems):
if elem[0] != 'data':
break
_, type, size, alignment, offset = elem
calcAlign = min(size, 8)
before = cur
while cur % calcAlign:
cur += 1
if offset != cur:
cur = before
while cur % alignment:
cur += 1
elems[i] = 'data', type, size, alignment
else:
elems[i] = 'data', type, size, None
#assert offset == cur
cur += size
return elems
def parseFunc(cs, params, pid):
cs, params = csplit(cs), csplit(params[1:-1]) if params else []
assert not params or len(cs) == len(params)
si, so = splitIOSpec(cs)
if params:
pi, po = splitIOParams(params)
assert len(si) == len(pi) and len(so) == len(po)
pi, po = [remapProtoType(x, si[i]) for i, x in enumerate(pi)], [remapProtoType(x, so[i]) for i, x in enumerate(po)]
defineSizes(pi + po)
else:
pi, po = map(generateType, si), map(generateType, so)
if pid:
pi = [('pid', )] + pi
return filterAlignment(sortData(sortTyped(pi))), filterAlignment(sortData(sortTyped(po)))
ifaces = {}
for cname, functions in clses.items():
assert cname not in ifaces
ifaces[cname] = iface = {}
for cmdId, func in functions.items():
fname, spec, params = func
if fname == '':
fname = 'Unknown%i' % cmdId
spec = spec.split(' - ')
if len(spec) == 2 and spec[0] == 'UNK bytes in' and spec[1] == 'UNK bytes out':
iface[cmdId] = (fname, (), (), False)
elif len(spec) == 2 or (len(spec) == 3 and spec[2] == 'takes pid'):
assert spec[0] == '0 bytes in' and spec[1] == '0 bytes out'
iface[cmdId] = (fname, (['pid'], ) if len(spec) == 3 else (), (), True)
elif len(spec) == 3 or (len(spec) == 4 and spec[2] == 'takes pid'):
if spec[2] == 'takes pid':
pid = True
cs = spec[3]
else:
pid = False
cs = spec[2]
ins, outs = parseFunc(cs, params, pid)
iface[cmdId] = fname, ins, outs, True
for elem in bufferTypes:
if elem not in dataSizes:
dataSizes[elem] = -1
with file('ipcdefs/auto.id', 'w') as fp:
lastNs = -1
for name, size in sorted(dataSizes.items(), key=lambda x: x[0]):
if name not in intTypes.values() and name != 'void' and name != 'unknown':
ns = name.rsplit('::', 1)[0] if '::' in name else None
if ns != lastNs and lastNs != -1:
print >>fp
print >>fp, 'type %s = %s;' % (name, emitDefaultOrBytes(size))
lastNs = ns
print >>fp
print >>fp
def emitType(type):
if type[0] == 'data':
if type[3] is not None:
return 'align<%i, %s>' % (type[3], type[1])
return type[1] # XXX: Add alignment setup
elif type[0] == 'object':
return 'object<%s>' % (type[1] if type[1] else 'IUnknown')
elif type[0] == 'handle':
return 'KObject'
elif type[0] == 'array':
return 'array<%s, %s>' % (type[1], emitInt(type[2]))
elif type[0] == 'buffer':
return 'buffer<%s, %s, %s>' % (type[1] or 'unknown', emitInt(type[2]), emitInt(type[3]))
elif type[0] == 'pid':
return 'pid'
else:
print 'wtf?', type
def emitFunction(cmdId, fname, ins, outs, documented):
outstr = ''
if documented:
if len(outs) == 1:
outstr = ' -> %s' % emitType(outs[0])
elif len(outs):
outstr = ' -> (%s)' % ', '.join(emitType(x) for x in outs)
return '[%i] %s(%s)%s;' % (cmdId, fname, ', '.join(emitType(x) for x in ins), outstr)
else:
return '@undocumented\n\t[%i] %s();' % (cmdId, fname)
for cname, cmds in sorted(ifaces.items(), key=lambda x: x[0]):
print >>fp, 'interface %s%s {' % (cname, ' is ' + ', '.join(clsToInterface[cname]) if cname in clsToInterface else '')
for cmdId, (fname, ins, outs, documented) in sorted(cmds.items(), key=lambda x: x[0]):
print >>fp, '\t' + emitFunction(cmdId, fname, ins, outs, documented)
print >>fp, '}'
print >>fp
| 96.599783 | 489 | 0.62663 | 126,847 | 890,650 | 4.399828 | 0.020718 | 0.054517 | 0.046233 | 0.066758 | 0.837009 | 0.788986 | 0.752634 | 0.729458 | 0.701246 | 0.674712 | 0 | 0.078035 | 0.11387 | 890,650 | 9,219 | 490 | 96.610261 | 0.629114 | 0.000456 | 0 | 0.122215 | 0 | 0.286042 | 0.763807 | 0.371801 | 0 | 0 | 0.014493 | 0 | 0.001092 | 0 | null | null | 0.000218 | 0.000983 | null | null | 0.001092 | 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 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
7bdfae1327f0810a7918008bb5c48e9094bb3df2 | 167 | py | Python | config.py | nguyenkevn/heran | cf0436bb8d6e4df372eb265b4131adb95af4bee8 | [
"MIT"
] | null | null | null | config.py | nguyenkevn/heran | cf0436bb8d6e4df372eb265b4131adb95af4bee8 | [
"MIT"
] | null | null | null | config.py | nguyenkevn/heran | cf0436bb8d6e4df372eb265b4131adb95af4bee8 | [
"MIT"
] | null | null | null | DATABASE_URL= 'postgres://xhjnqyiksjbwbd:efa927ba37a84bc0d4362d115aab3db58e46ba17daaf7868821c929a50939018@ec2-3-215-207-12.compute-1.amazonaws.com:5432/d3cc34eiokie34' | 167 | 167 | 0.886228 | 16 | 167 | 9.1875 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.361446 | 0.005988 | 167 | 1 | 167 | 167 | 0.524096 | 0 | 0 | 0 | 0 | 1 | 0.89881 | 0.89881 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7be24f5f6eaf8651386d2aaecf196f25af9a858e | 2,310 | py | Python | tests/test_ctap_make_credential_request.py | dany74q/ctap-keyring-device | 2f41f008679259182a61224680d75b6e0bdc510b | [
"MIT"
] | 1 | 2022-03-04T09:37:49.000Z | 2022-03-04T09:37:49.000Z | tests/test_ctap_make_credential_request.py | dany74q/ctap-keyring-device | 2f41f008679259182a61224680d75b6e0bdc510b | [
"MIT"
] | null | null | null | tests/test_ctap_make_credential_request.py | dany74q/ctap-keyring-device | 2f41f008679259182a61224680d75b6e0bdc510b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
from ctap_keyring_device.ctap_strucs import CtapMakeCredentialRequest, CtapOptions
class TestCtapMakeCredentialRequest(unittest.TestCase):
def test_resident_key_required_when_set(self):
req = CtapMakeCredentialRequest.create(
{CtapMakeCredentialRequest.OPTIONS_KEY: {CtapOptions.RESIDENT_KEY: True}}
)
assert req.resident_key_required
def test_resident_key_not_set_when_false(self):
req = CtapMakeCredentialRequest.create(
{CtapMakeCredentialRequest.OPTIONS_KEY: {CtapOptions.RESIDENT_KEY: False}}
)
assert not req.resident_key_required
def test_resident_key_not_set_when_options_not_set(self):
req = CtapMakeCredentialRequest.create({})
assert not req.resident_key_required
def test_resident_key_not_set_when_options_is_none(self):
req = CtapMakeCredentialRequest.create(
{CtapMakeCredentialRequest.OPTIONS_KEY: None}
)
assert not req.resident_key_required
def test_user_verification_required_when_set(self):
req = CtapMakeCredentialRequest.create(
{
CtapMakeCredentialRequest.OPTIONS_KEY: {
CtapOptions.USER_VERIFICATION: True
}
}
)
assert req.user_verification_required
def test_user_verification_not_set_when_false(self):
req = CtapMakeCredentialRequest.create(
{
CtapMakeCredentialRequest.OPTIONS_KEY: {
CtapOptions.USER_VERIFICATION: False
}
}
)
assert not req.user_verification_required
def test_user_verification_not_set_when_options_not_set(self):
req = CtapMakeCredentialRequest.create({})
assert not req.user_verification_required
def test_user_verification_not_set_when_options_is_none(self):
req = CtapMakeCredentialRequest.create(
{CtapMakeCredentialRequest.OPTIONS_KEY: None}
)
assert not req.user_verification_required
def test_exclude_list_is_empty_list_when_none(self):
req = CtapMakeCredentialRequest.create(
{CtapMakeCredentialRequest.EXCLUDE_LIST_KEY: None}
)
assert req.exclude_list == []
| 35.538462 | 86 | 0.690043 | 224 | 2,310 | 6.700893 | 0.165179 | 0.073284 | 0.191872 | 0.227848 | 0.827448 | 0.816789 | 0.772152 | 0.772152 | 0.734177 | 0.734177 | 0 | 0.000577 | 0.249784 | 2,310 | 64 | 87 | 36.09375 | 0.865551 | 0.009091 | 0 | 0.365385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173077 | 1 | 0.173077 | false | 0 | 0.038462 | 0 | 0.230769 | 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 |
d007781b21cc6e56017e0f4e9b30cc6b4fcc237a | 1,351 | py | Python | stubs/m5stack_flowui-v1_4_0-beta/flowlib/modules/_lidarBot.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | stubs/m5stack_flowui-v1_4_0-beta/flowlib/modules/_lidarBot.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | stubs/m5stack_flowui-v1_4_0-beta/flowlib/modules/_lidarBot.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | """
Module: 'flowlib.modules._lidarBot' on M5 FlowUI v1.4.0-beta
"""
# MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32')
# Stubber: 1.3.1 - updated
from typing import Any
class LidarBot:
""""""
def controlWheel(self, *argv) -> Any:
pass
def deinit(self, *argv) -> Any:
pass
def goAhead(self, *argv) -> Any:
pass
def goBack(self, *argv) -> Any:
pass
def setOneRgb(self, *argv) -> Any:
pass
def setRgb(self, *argv) -> Any:
pass
def setServo(self, *argv) -> Any:
pass
def setStepMotor(self, *argv) -> Any:
pass
def turnLeft(self, *argv) -> Any:
pass
def turnRight(self, *argv) -> Any:
pass
class LidarStep:
""""""
def controlWheel(self, *argv) -> Any:
pass
def goAhead(self, *argv) -> Any:
pass
def goBack(self, *argv) -> Any:
pass
def setOneRgb(self, *argv) -> Any:
pass
def setRgb(self, *argv) -> Any:
pass
def setServo(self, *argv) -> Any:
pass
def setStepMotor(self, *argv) -> Any:
pass
def turnLeft(self, *argv) -> Any:
pass
def turnRight(self, *argv) -> Any:
pass
controlMap = None
machine = None
| 17.776316 | 141 | 0.545522 | 165 | 1,351 | 4.460606 | 0.309091 | 0.206522 | 0.283967 | 0.387228 | 0.673913 | 0.673913 | 0.673913 | 0.608696 | 0.608696 | 0.608696 | 0 | 0.041711 | 0.30792 | 1,351 | 75 | 142 | 18.013333 | 0.745455 | 0.167283 | 0 | 0.860465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.44186 | false | 0.44186 | 0.023256 | 0 | 0.511628 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 0 | 0 | 7 |
d0104535d6fc28a55634d61301bde293f3cf9434 | 26,071 | py | Python | tests/vm_state_test.py | ovenystas/py-apx | 9b361ebc64e7c8ecb68f13f79e589d5a85cd5734 | [
"MIT"
] | null | null | null | tests/vm_state_test.py | ovenystas/py-apx | 9b361ebc64e7c8ecb68f13f79e589d5a85cd5734 | [
"MIT"
] | 8 | 2018-10-17T09:03:43.000Z | 2021-11-02T13:37:44.000Z | tests/vm_state_test.py | ovenystas/py-apx | 9b361ebc64e7c8ecb68f13f79e589d5a85cd5734 | [
"MIT"
] | 5 | 2018-06-12T08:02:42.000Z | 2020-08-12T05:07:49.000Z | import os, sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import apx
import unittest
class TestVmPackState(unittest.TestCase):
def test_pack_u8(self):
st = apx.VmPackState(value=1)
data = bytearray([0,0,0])
data_offset = 0
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 1)
self.assertEqual(data, bytearray([1,0,0]))
st.value=0x12
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(data, bytearray([1,0x12,0]))
st.value=255
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 3)
self.assertEqual(data, bytearray([1,0x12,255]))
def test_pack_u16(self):
st = apx.VmPackState(value=0)
data = bytearray([0,0])
data_offset = st.pack_u16(data, 0)
self.assertEqual(data_offset, apx.UINT16_LEN)
self.assertEqual(data, bytearray([0x00, 0x00]))
st.value=0x1234
data_offset = st.pack_u16(data, 0)
self.assertEqual(data_offset, apx.UINT16_LEN)
self.assertEqual(data, bytearray([0x34, 0x12]))
st.value=65535
data_offset = st.pack_u16(data, 0)
self.assertEqual(data_offset, apx.UINT16_LEN)
self.assertEqual(data, bytearray([0xFF, 0xFF]))
def test_pack_u32(self):
st = apx.VmPackState(value=0)
data = bytearray([0,0,0,0])
data_offset = st.pack_u32(data, 0)
self.assertEqual(data_offset, apx.UINT32_LEN)
self.assertEqual(data, bytearray([0x00, 0x00, 0x00, 0x00]))
st.value=0x12345678
data_offset = st.pack_u32(data, 0)
self.assertEqual(data_offset, apx.UINT32_LEN)
self.assertEqual(data, bytearray([0x78, 0x56, 0x34, 0x12]))
st.value=0xFFFFFFFF
data_offset = st.pack_u32(data, 0)
self.assertEqual(data_offset, apx.UINT32_LEN)
self.assertEqual(data, bytearray([0xFF, 0xFF, 0xFF, 0xFF]))
def test_pack_s8(self):
st = apx.VmPackState(value=0)
data = bytearray(1)
data_offset = st.pack_s8(data, 0)
self.assertEqual(data_offset, apx.UINT8_LEN)
self.assertEqual(data, bytearray([0]))
st.value=127
data_offset = st.pack_s8(data, 0)
self.assertEqual(data_offset, apx.UINT8_LEN)
self.assertEqual(data, bytearray([127]))
st.value=-1
data_offset = st.pack_s8(data, 0)
self.assertEqual(data_offset, apx.UINT8_LEN)
self.assertEqual(data, bytearray([0xFF]))
st.value=-128
data_offset = st.pack_s8(data, 0)
self.assertEqual(data_offset, apx.UINT8_LEN)
self.assertEqual(data, bytearray([0x80]))
def test_pack_s16(self):
st = apx.VmPackState(value=0)
data = bytearray(2)
data_offset = st.pack_s16(data, 0)
self.assertEqual(data_offset, apx.SINT16_LEN)
self.assertEqual(data, bytearray([0, 0]))
st.value=32767
data_offset = st.pack_s16(data, 0)
self.assertEqual(data_offset, apx.SINT16_LEN)
self.assertEqual(data, bytearray([0xFF, 0x7F]))
st.value=-1
data_offset = st.pack_s16(data, 0)
self.assertEqual(data_offset, apx.SINT16_LEN)
self.assertEqual(data, bytearray([0xFF, 0xFF]))
st.value=-32768
data_offset = st.pack_s16(data, 0)
self.assertEqual(data_offset, apx.SINT16_LEN)
self.assertEqual(data, bytearray([0x00, 0x80]))
def test_pack_s32(self):
st = apx.VmPackState(value=0)
data = bytearray(4)
data_offset = st.pack_s32(data, 0)
self.assertEqual(data_offset, apx.SINT32_LEN)
self.assertEqual(data, bytearray([0, 0, 0, 0]))
st.value=2147483647
data_offset = st.pack_s32(data, 0)
self.assertEqual(data_offset, apx.SINT32_LEN)
self.assertEqual(data, bytearray([0xFF, 0xFF, 0xFF, 0x7F]))
st.value=-1
data_offset = st.pack_s32(data, 0)
self.assertEqual(data_offset, apx.SINT32_LEN)
self.assertEqual(data, bytearray([0xFF, 0xFF, 0xFF, 0xFF]))
st.value=-2147483648
data_offset = st.pack_s32(data, 0)
self.assertEqual(data_offset, apx.SINT32_LEN)
self.assertEqual(data, bytearray([0x00, 0x00, 0x00, 0x80]))
def test_pack_u8_array(self):
st = apx.VmPackState(value=[1,2,3])
data = bytearray(3)
data_offset = 0
data_offset = st.pack_u8(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT8_LEN*len(st.value))
self.assertEqual(data, bytearray([1, 2, 3]))
def test_pack_u16_array(self):
st = apx.VmPackState(value=[1,2,3])
data = bytearray(6)
data_offset = 0
data_offset = st.pack_u16(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT16_LEN*len(st.value))
self.assertEqual(data, bytearray([1, 0, 2, 0, 3, 0]))
def test_pack_u32_array(self):
st = apx.VmPackState(value=[1,2,3])
data = bytearray(12)
data_offset = 0
data_offset = st.pack_u32(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT32_LEN*len(st.value))
self.assertEqual(data, bytearray([1, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 0]))
def test_pack_s8_array(self):
st = apx.VmPackState(value=[-1,-2,-3])
data = bytearray(3)
data_offset = 0
data_offset = st.pack_s8(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT8_LEN*len(st.value))
self.assertEqual(data, bytearray([0xFF, 0xFE, 0xFD]))
def test_pack_s16_array(self):
st = apx.VmPackState(value=[-1,-2,-3])
data = bytearray(6)
data_offset = 0
data_offset = st.pack_s16(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT16_LEN*len(st.value))
self.assertEqual(data, bytearray([0xFF, 0xFF, 0xFE, 0xFF, 0xFD, 0xFF]))
def test_pack_s32_array(self):
st = apx.VmPackState(value=[-1,-2,-3])
data = bytearray(12)
data_offset = 0
data_offset = st.pack_s32(data, data_offset, len(st.value))
self.assertEqual(data_offset, apx.UINT32_LEN*len(st.value))
self.assertEqual(data, bytearray([0xFF, 0xFF, 0xFF, 0xFF, 0xFE, 0xFF, 0xFF, 0xFF, 0xFD, 0xFF, 0xFF, 0xFF]))
def test_pack_str_with_shorter_string_should_pad_with_zeros(self):
data = bytearray(7)
data_offset = 0
st = apx.VmPackState(value='Select')
data_offset = st.pack_str(data, data_offset, 7)
self.assertEqual(data_offset, 7)
self.assertEqual(data, bytearray('Select\0'.encode('utf-8')))
def test_pack_str_which_fits_exactly_shall_not_pad_with_zeros(self):
data = bytearray(7)
data_offset = 0
st = apx.VmPackState(value='Selects')
data_offset = st.pack_str(data, data_offset, 7)
self.assertEqual(data_offset, 7)
self.assertEqual(data, bytearray('Selects'.encode('utf-8')))
def test_pack_str_which_is_too_long_should_truncate_to_fit(self):
data = bytearray(7)
data_offset = 0
st = apx.VmPackState(value='Selected')
data_offset = st.pack_str(data, data_offset, 7)
self.assertEqual(data_offset, 7)
self.assertEqual(data, bytearray('Selecte'.encode('utf-8')))
def test_pack_u8_to_record(self):
st = apx.VmPackState(value={'a': 255, 'b': 7})
data = bytearray([0,0])
data_offset=0
st.record_enter()
st.record_select('a')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 1)
self.assertEqual(data, bytearray([255,0]))
st.record_select('b')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(data, bytearray([255,7]))
def test_pack_array_of_records(self):
st = apx.VmPackState(value=[
{'a': 255, 'b': 7},
{'a': 29, 'b': 4},
{'a': 0, 'b': 200},
])
data = bytearray(6)
data_offset=0
self.assertIsNone(st.array_index)
st.array_enter()
self.assertEqual(st.array_index, 0)
self.assertEqual(len(st.stack), 0)
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {'a': 255, 'b': 7})
st.record_select('a')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data, bytearray([255,0,0,0,0,0]))
st.record_select('b')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(data, bytearray([255,7,0,0,0,0]))
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.array_index, 1)
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {'a': 29, 'b': 4})
st.record_select('a')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data, bytearray([255,7,29,0,0,0]))
st.record_select('b')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(data, bytearray([255,7,29,4,0,0]))
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.array_index, 2)
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {'a': 0, 'b': 200})
st.record_select('a')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data, bytearray([255,7,29,4,0,0]))
st.record_select('b')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 6)
self.assertEqual(data, bytearray([255,7,29,4,0,200]))
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.array_index, 3)
st.array_leave()
self.assertIsNone(st.array_index)
def test_pack_array_of_records_in_record(self):
st = apx.VmPackState(value={'customers': [{'id': 1, 'amount': 2}, {'id': 2, 'amount': 10}],
'priority': 4})
data = bytearray(5)
data_offset=0
st.record_enter()
st.record_select('customers')
self.assertEqual(st.key, 'customers')
self.assertEqual(len(st.stack), 0)
st.array_enter()
self.assertEqual(len(st.stack), 1)
self.assertIsNone(st.key)
st.record_enter()
self.assertEqual(st.value, {'id': 1, 'amount': 2})
st.record_select('id')
data_offset = st.pack_u8(data, data_offset)
st.record_select('amount')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data, bytearray([1,2,0,0,0]))
st.record_leave()
self.assertEqual(st.array_index, 1)
st.record_enter()
self.assertEqual(st.value, {'id': 2, 'amount': 10})
st.record_select('id')
data_offset = st.pack_u8(data, data_offset)
st.record_select('amount')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data, bytearray([1,2,2,10,0]))
st.record_leave()
st.array_leave()
self.assertEqual(len(st.stack), 0)
st.record_select('priority')
data_offset = st.pack_u8(data, data_offset)
self.assertEqual(data_offset, 5)
self.assertEqual(data, bytearray([1,2,2,10,4]))
self.assertEqual(st.key, 'priority')
st.record_leave()
self.assertIsNone(st.key)
def test_pack_array_inside_array(self):
st = apx.VmPackState(value=[ [1,2], [3,4] ])
data = bytearray(4)
data_offset=0
st.array_enter()
st.array_enter()
self.assertEqual(len(st.stack), 1)
data_offset = st.pack_u8(data, data_offset, 2)
self.assertEqual(data_offset, 2)
self.assertEqual(data, bytearray([1,2,0,0]))
st.array_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.array_index, 1)
st.array_enter()
self.assertEqual(len(st.stack), 1)
data_offset = st.pack_u8(data, data_offset, 2)
self.assertEqual(data_offset, 4)
self.assertEqual(data, bytearray([1,2,3,4]))
st.array_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.array_index, 2)
st.array_leave()
self.assertIsNone(st.array_index)
class TestVmUnpackState(unittest.TestCase):
def test_record_enter(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
self.assertIsNone(st.key)
st.record_enter()
self.assertEqual(st.value, {})
def test_record_select(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
self.assertIsNone(st.key)
with self.assertRaises(RuntimeError) as context:
st.record_select('name')
self.assertEqual("record_select performed before record_enter", str(context.exception))
st.record_enter()
self.assertEqual(st.value, {})
st.record_select('name')
self.assertEqual(st.key, 'name')
def test_record_leave(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
self.assertIsNone(st.key)
st.record_enter()
self.assertEqual(st.value, {})
st.record_select('name')
self.assertEqual(st.key, 'name')
st.record_leave()
self.assertIsNone(st.key)
def test_unpack_u8(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([3,15])
data_offset = 0
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 1)
self.assertEqual(st.value,3)
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value,15)
def test_unpack_u8_array(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([1,3,7,15,31])
data_offset = 0
data_offset = st.unpack_u8(data, data_offset, 5)
self.assertEqual(data_offset, 5)
self.assertEqual(st.value, [1,3,7,15,31])
def test_unpack_u8_from_record(self):
st = apx.VmUnpackState()
data = bytearray([255, 7])
data_offset=0
st.record_enter()
st.record_select('a')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 1)
st.record_select('b')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, {'a': 255, 'b': 7})
def test_unpack_array_of_records(self):
st = apx.VmUnpackState()
data = bytearray([255,7,29,4,0,200])
data_offset=0
self.assertIsNone(st.value)
self.assertIsNone(st.array_index)
st.array_enter()
self.assertEqual(st.value, [])
self.assertEqual(st.array_index, 0)
self.assertEqual(len(st.stack), 0)
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {})
st.record_select('a')
data_offset = st.unpack_u8(data, data_offset)
st.record_select('b')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, {'a': 255, 'b': 7})
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.value, [{'a': 255, 'b': 7}])
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {})
st.record_select('a')
data_offset = st.unpack_u8(data, data_offset)
st.record_select('b')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, {'a': 29, 'b': 4})
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.value, [{'a': 255, 'b': 7}, {'a': 29, 'b': 4}])
self.assertEqual(st.array_index, 2)
st.record_enter()
self.assertIsNone(st.array_index)
self.assertEqual(len(st.stack), 1)
self.assertEqual(st.value, {})
st.record_select('a')
data_offset = st.unpack_u8(data, data_offset)
st.record_select('b')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 6)
self.assertEqual(st.value, {'a': 0, 'b': 200})
st.record_leave()
self.assertEqual(len(st.stack), 0)
self.assertEqual(st.value, [{'a': 255, 'b': 7}, {'a': 29, 'b': 4}, {'a': 0, 'b': 200}])
self.assertEqual(st.array_index, 3)
st.array_leave()
self.assertIsNone(st.array_index)
def test_unpack_array_of_records_in_record(self):
st = apx.VmUnpackState()
data = bytearray([1,2,2,10,4])
data_offset=0
st.record_enter()
st.record_select('customers')
self.assertEqual(st.key, 'customers')
self.assertEqual(len(st.stack), 0)
st.array_enter()
self.assertEqual(len(st.stack), 1)
self.assertIsNone(st.key)
self.assertEqual(st.array_index, 0)
st.record_enter()
self.assertEqual(st.value, {})
st.record_select('id')
data_offset = st.unpack_u8(data, data_offset)
st.record_select('amount')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(st.value, {'id': 1, 'amount': 2})
st.record_leave()
self.assertEqual(st.array_index, 1)
st.record_enter()
self.assertEqual(st.value, {})
st.record_select('id')
data_offset = st.unpack_u8(data, data_offset)
st.record_select('amount')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(st.value, {'id': 2, 'amount': 10})
st.record_leave()
st.array_leave()
self.assertEqual(len(st.stack), 0)
st.record_select('priority')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 5)
st.record_leave()
self.assertIsNone(st.key)
self.assertEqual(st.value, {'customers': [{'id': 1, 'amount': 2}, {'id': 2, 'amount': 10}],
'priority': 4})
def test_unpack_array_inside_array(self):
st = apx.VmUnpackState()
data = bytearray([1,2,3,4])
data_offset=0
st.array_enter()
st.array_enter()
self.assertEqual(len(st.stack), 1)
data_offset = st.unpack_u8(data, data_offset, 2)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, [1,2])
st.array_leave()
self.assertEqual(st.array_index, 1)
st.array_enter()
self.assertEqual(len(st.stack), 1)
data_offset = st.unpack_u8(data, data_offset, 2)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, [3,4])
st.array_leave()
self.assertEqual(st.array_index, 2)
st.array_leave()
self.assertIsNone(st.array_index)
self.assertEqual(st.value, [[1,2], [3,4]])
def test_unpack_u16(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0, 0x34,0x12, 0xFF,0xFF])
data_offset = 0
data_offset = st.unpack_u16(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, 0)
data_offset = st.unpack_u16(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, 0x1234)
data_offset = st.unpack_u16(data, data_offset)
self.assertEqual(data_offset, 6)
self.assertEqual(st.value, 65535)
def test_unpack_u32(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0,0,0, 0x78,0x56,0x34,0x12, 0xFF,0xFF,0xFF,0xFF])
data_offset = 0
data_offset = st.unpack_u32(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, 0)
data_offset = st.unpack_u32(data, data_offset)
self.assertEqual(data_offset, 8)
self.assertEqual(st.value, 0x12345678)
data_offset = st.unpack_u32(data, data_offset)
self.assertEqual(data_offset, 12)
self.assertEqual(st.value, 0xFFFFFFFF)
def test_unpack_s8(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0x80,0xFF,0,127])
data_offset = 0
data_offset = st.unpack_s8(data, data_offset)
self.assertEqual(data_offset, 1)
self.assertEqual(st.value, -128)
data_offset = st.unpack_s8(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, -1)
data_offset = st.unpack_s8(data, data_offset)
self.assertEqual(data_offset, 3)
self.assertEqual(st.value, 0)
data_offset = st.unpack_s8(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, 127)
def test_unpack_s16(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0x80, 0xFF,0xFF, 0,0, 0xFF,0x7F])
data_offset = 0
data_offset = st.unpack_s16(data, data_offset)
self.assertEqual(data_offset, 2)
self.assertEqual(st.value, -32768)
data_offset = st.unpack_s16(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, -1)
data_offset = st.unpack_s16(data, data_offset)
self.assertEqual(data_offset, 6)
self.assertEqual(st.value, 0)
data_offset = st.unpack_s16(data, data_offset)
self.assertEqual(data_offset, 8)
self.assertEqual(st.value, 32767)
def test_unpack_s32(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0,0,0x80, 0xFF,0xFF,0xFF,0xFF, 0,0,0,0, 0xFF,0xFF,0xFF,0x7F])
data_offset = 0
data_offset = st.unpack_s32(data, data_offset)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, -2147483648)
data_offset = st.unpack_s32(data, data_offset)
self.assertEqual(data_offset, 8)
self.assertEqual(st.value, -1)
data_offset = st.unpack_s32(data, data_offset)
self.assertEqual(data_offset, 12)
self.assertEqual(st.value, 0)
data_offset = st.unpack_s32(data, data_offset)
self.assertEqual(data_offset, 16)
self.assertEqual(st.value, 2147483647)
def test_unpack_s8_array(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0x80,0xFF,0,127])
data_offset = 0
data_offset = st.unpack_s8(data, data_offset, 4)
self.assertEqual(data_offset, 4)
self.assertEqual(st.value, [-128,-1,0,127])
def test_unpack_s16_array(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0x80, 0xFF,0xFF, 0,0, 0xFF,0x7F])
data_offset = 0
data_offset = st.unpack_s16(data, data_offset, 4)
self.assertEqual(data_offset, 8)
self.assertEqual(st.value, [-32768, -1, 0, 32767])
def test_unpack_s32(self):
st = apx.VmUnpackState()
self.assertIsNone(st.value)
data = bytearray([0,0,0,0x80, 0xFF,0xFF,0xFF,0xFF, 0,0,0,0, 0xFF,0xFF,0xFF,0x7F])
data_offset = 0
data_offset = st.unpack_s32(data, data_offset, 4)
self.assertEqual(data_offset, 16)
self.assertEqual(st.value, [-2147483648, -1, 0, 2147483647])
def test_unpack_str(self):
st = apx.VmUnpackState()
data = bytearray('Hello\0World\0\0\0'.encode('utf-8'))
data_offset = 0
data_offset = st.unpack_str(data, data_offset, 6)
self.assertEqual(data_offset, 6)
self.assertEqual(st.value, 'Hello')
data_offset = st.unpack_str(data, data_offset, 5)
self.assertEqual(data_offset, 11)
self.assertEqual(st.value, 'World')
data_offset = st.unpack_str(data, data_offset, 3)
self.assertEqual(data_offset, 14)
self.assertEqual(st.value, '')
def test_unpack_str_in_record(self):
st = apx.VmUnpackState()
data = bytearray(bytes([14,0])+"Selection\0".encode('utf-8')+bytes([0]))
data_offset = 0
st.record_enter()
st.record_select('Position')
data_offset = st.unpack_u16(data, data_offset)
self.assertEqual(data_offset, 2)
st.record_select('Label')
data_offset = st.unpack_str(data, data_offset, 10)
self.assertEqual(data_offset, 12)
st.record_select('Index')
data_offset = st.unpack_u8(data, data_offset)
self.assertEqual(data_offset, 13)
st.record_leave()
self.assertEqual(st.value, {'Position': 14, 'Label': 'Selection', 'Index': 0})
if __name__ == '__main__':
unittest.main() | 40.420155 | 116 | 0.603391 | 3,416 | 26,071 | 4.418326 | 0.040984 | 0.177566 | 0.149805 | 0.125886 | 0.920957 | 0.907904 | 0.870404 | 0.85755 | 0.809581 | 0.775128 | 0 | 0.056623 | 0.265698 | 26,071 | 645 | 117 | 40.420155 | 0.73177 | 0 | 0 | 0.715474 | 0 | 0 | 0.018287 | 0 | 0 | 0 | 0.01872 | 0 | 0.424293 | 1 | 0.063228 | false | 0 | 0.004992 | 0 | 0.071547 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
d06fa9ce1b2c77314bbd43de5f2f618772725880 | 33,476 | py | Python | proj/learn2reg/sampler.py | NanYoMy/mmregnet | 50909d39289733264dce14666e9deeecbe858819 | [
"Apache-2.0"
] | 7 | 2021-05-18T05:21:41.000Z | 2022-01-03T07:03:35.000Z | proj/learn2reg/sampler.py | NanYoMy/mmregnet | 50909d39289733264dce14666e9deeecbe858819 | [
"Apache-2.0"
] | null | null | null | proj/learn2reg/sampler.py | NanYoMy/mmregnet | 50909d39289733264dce14666e9deeecbe858819 | [
"Apache-2.0"
] | null | null | null | import SimpleITK as sitk
import numpy as np
import glob
import random
import os
import preprocessor.tools as tools
from scipy.stats import zscore
from dirutil.helper import sort_glob,glob_cross_validation_files
from tool.parse import parse_arg_list
'''
4-fold验证
'''
# class Sampler():
# def __init__(self,args,type):
# self.args=args
#
# if type=='train':
# self.is_train=True
# self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
# self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir +'/train_atlas/rez/lab' ))
# #所有的数据
# self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/img'))
# self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/lab'))
# if len(self.img_fix)>0:
# del self.img_fix[(args.fold-1)*4:(args.fold-1)*4+4]
# del self.lab_fix[(args.fold-1)*4:(args.fold-1)*4+4]
#
#
# elif type == 'train_sim':
# self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
# self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/lab'))
# self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_fuse_target/rez/img'))
# self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_fuse_target/rez/lab'))
# elif type == 'gen_fusion_train':
# self.is_train = True
# self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
# self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/lab'))
# #所有的数据
# self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/img'))
# self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/lab'))
# del self.img_fix[(args.fold-1)*4:(args.fold-1)*4+4]
# del self.lab_fix[(args.fold-1)*4:(args.fold-1)*4+4]
#
# #训练融合的代码的时候,把fuse和train_target一起放入进去
# self.img_fix =self.img_fix + sort_glob('{}/*.*'.format(args.dataset_dir + '/train_fuse_target/rez/img'))
# self.lab_fix =self.lab_fix + sort_glob('{}/*.*'.format(args.dataset_dir + '/train_fuse_target/rez/lab'))
#
# elif type == 'test':
# self.is_train = False
# self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
# self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/lab'))
# self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/test_target/rez/img'))
# self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/test_target/rez/lab'))
# elif type == 'validate':
# self.is_train = False
# self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
# self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/lab'))
# self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/img'))
# self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))+sort_glob('{}/*.*'.format(args.dataset_dir + '/validate_target/rez/lab'))
#
# if len(self.img_fix)>0:
# self.img_fix=[self.img_fix[i] for i in range((args.fold-1)*4,(args.fold-1)*4+4)]
# self.lab_fix=[self.lab_fix[i] for i in range((args.fold-1)*4,(args.fold-1)*4+4)]
#
#
# else:
# print("not support gen sampler type")
# exit(-900)
#
# if len(self.img_mv)!=len(self.lab_mv):
# print("error,number of image and lab not equal")
# exit(-900)
# self.num=len(self.img_mv)
# self.nb_pairs=len(self.img_fix)*len(self.img_mv)
# self.len_fix=len(self.img_fix)
# self.len_mv=len(self.img_mv)
# self.index=0
# def reset_sequnce_index(self):
# self.index=0
# def next_sample(self):
# index_mvs=[]
# index_fixs=[]
# for i in range(self.args.batch_size):
# if self.is_train:
# index_mv,index_fix=self.generate_random_index()
# else:
# index_mv,index_fix=self.generate_sequnce_index()
# index_mvs.append(index_mv)
# index_fixs.append(index_fix)
# # print(str(index_mv)+":"+str(index_fix))
# return self.get_batch_data(index_mvs,index_fixs)
#
# def get_batch_file(self):
# img_mvs=[]
# img_fixs=[]
# lab_mvs=[]
# lab_fixs=[]
# for i in range(self.args.batch_size):
# if self.is_train:
# index_mv,index_fix=self.generate_random_index()
# else:
# index_mv,index_fix=self.generate_sequnce_index()
# img_mvs.append(self.img_mv[index_mv])
# lab_mvs.append(self.lab_mv[index_mv])
#
# img_fixs.append(self.img_fix[index_fix])
# lab_fixs.append(self.lab_fix[index_fix])
# return img_mvs,img_fixs,lab_mvs,lab_fixs
# def get_batch_data_V2(self,img_mvs,img_fixs,lab_mvs,lab_fixs):
# fix_imgs = []
# fix_labs = []
# mv_imgs = []
# mv_labs = []
# for img_mv,img_fix,lab_mv,lab_fix in zip(img_mvs,img_fixs,lab_mvs,lab_fixs):
# # print(str(index_mv)+":"+str(index_fix))
# imgA, imgB = sitk.ReadImage(img_mv), sitk.ReadImage(img_fix)
# imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
# labA, labB = sitk.ReadImage(lab_mv), sitk.ReadImage(lab_fix)
# mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
# fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
#
# if self.is_train:
# # 可以选择不同的label来做evaluate
# candidate_label_index = [int(i) for i in self.args.components.split(',')]
# label_index = candidate_label_index[np.random.randint(len(candidate_label_index))]
# else:
# label_index = self.args.component
#
# '''
# 当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
# 当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
# 最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
# '''
# labA = sitk.GetArrayFromImage(labA)
# labA = np.where(labA == label_index, 1, 0)
# mv_labs.append(np.expand_dims(labA, axis=-1))
#
# labB = sitk.GetArrayFromImage(labB)
# labB = np.where(labB == label_index, 1, 0)
# fix_labs.append(np.expand_dims(labB, axis=-1))
#
# fix_imgs = np.array(fix_imgs).astype(np.float32)
# fix_labs = np.array(fix_labs).astype(np.float32)
# mv_imgs = np.array(mv_imgs).astype(np.float32)
# mv_labs = np.array(mv_labs).astype(np.float32)
#
# return fix_imgs, fix_labs, mv_imgs, mv_labs
#
# def generate_sequnce_index(self):
# index_mv=self.index//len(self.img_fix)
# index_fix=self.index%len(self.img_fix)
# self.index=self.index+1
# self.index=self.index%(len(self.img_fix)*len(self.img_mv))
# return index_mv,index_fix
# def generate_random_index(self):
# return np.random.randint(self.num),np.random.randint(self.num)
#
# def get_batch_data(self,atlas,targets):
# fix_imgs = []
# fix_labs = []
# mv_imgs = []
# mv_labs = []
# for index_mv,index_fix in zip(atlas,targets):
# # print(str(index_mv)+":"+str(index_fix))
#
# imgA, imgB = sitk.ReadImage(self.img_mv[index_mv]), sitk.ReadImage(self.img_fix[index_fix])
# imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
# labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
# mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
# fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
# # imgA, imgB = sitk.RescaleIntensity(imgA,0,1), sitk.RescaleIntensity(imgB,0,1)
# # labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
# # mv_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgA)), axis=-1))
# # fix_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgB)), axis=-1))
#
#
# if self.is_train:
# #可以选择不同的label来做evaluate
# candidate_label_index = [ int(i) for i in self.args.components.split(',')]
# label_index=candidate_label_index[np.random.randint(len(candidate_label_index))]
# else:
# label_index=self.args.component
#
# '''
# 当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
# 当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
# 最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
# '''
# labA=sitk.GetArrayFromImage(labA)
# labA=np.where(labA == label_index, 1, 0)
# mv_labs.append(np.expand_dims(labA,axis=-1))
#
# labB=sitk.GetArrayFromImage(labB)
# labB=np.where(labB == label_index, 1, 0)
# fix_labs.append(np.expand_dims(labB,axis=-1))
#
# fix_imgs = np.array(fix_imgs).astype(np.float32)
# fix_labs = np.array(fix_labs).astype(np.float32)
# mv_imgs = np.array(mv_imgs).astype(np.float32)
# mv_labs = np.array(mv_labs).astype(np.float32)
#
# return fix_imgs, fix_labs,mv_imgs,mv_labs
class Sampler():
def __init__(self,args,type):
self.args=args
if type=='train':
self.is_train=True
self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir +'/train_atlas/rez/lab' ))
#所有的数据
self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))
self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))
del self.img_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.lab_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.img_fix[(args.fold-1)*5:(args.fold-1)*5+5]
del self.lab_fix[(args.fold-1)*5:(args.fold-1)*5+5]
#for similarity
del self.img_mv[-4:]
del self.lab_mv[-4:]
del self.img_fix[-4:]
del self.lab_fix[-4:]
elif type == 'validate':
self.is_train = False
self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir +'/train_atlas/rez/lab' ))
#所有的数据
self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))
self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))
#validation
del self.img_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.lab_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.img_mv[-4:]
del self.lab_mv[-4:]
self.img_fix = [self.img_fix[i] for i in range((args.fold - 1) * 5, (args.fold - 1) * 5 + 5)]
self.lab_fix = [self.lab_fix[i] for i in range((args.fold - 1) * 5, (args.fold - 1) * 5 + 5)]
elif type == 'gen_fusion_train':
self.is_train = True
self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_atlas/rez/img'))
self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir +'/train_atlas/rez/lab' ))
#所有的数据
self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/img'))
self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/train_target/rez/lab'))
del self.img_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.lab_mv[(args.fold-1)*5:(args.fold-1)*5+5]
del self.img_fix[(args.fold-1)*5:(args.fold-1)*5+5]
del self.lab_fix[(args.fold-1)*5:(args.fold-1)*5+5]
else:
print("not support gen sampler type")
exit(-900)
if len(self.img_mv)!=len(self.lab_mv):
print("error,number of image and lab not equal")
exit(-900)
self.num=len(self.img_mv)
self.nb_pairs=len(self.img_fix)*len(self.img_mv)
self.len_fix=len(self.img_fix)
self.len_mv=len(self.img_mv)
self.index=0
def reset_sequnce_index(self):
self.index=0
def next_sample(self):
index_mvs=[]
index_fixs=[]
for i in range(self.args.batch_size):
if self.is_train:
index_mv,index_fix=self.generate_random_index()
else:
index_mv,index_fix=self.generate_sequnce_index()
index_mvs.append(index_mv)
index_fixs.append(index_fix)
# print(str(index_mv)+":"+str(index_fix))
return self.get_batch_data(index_mvs,index_fixs)
def get_batch_file(self):
img_mvs=[]
img_fixs=[]
lab_mvs=[]
lab_fixs=[]
for i in range(self.args.batch_size):
if self.is_train:
index_mv,index_fix=self.generate_random_index()
else:
index_mv,index_fix=self.generate_sequnce_index()
img_mvs.append(self.img_mv[index_mv])
lab_mvs.append(self.lab_mv[index_mv])
img_fixs.append(self.img_fix[index_fix])
lab_fixs.append(self.lab_fix[index_fix])
return img_mvs,img_fixs,lab_mvs,lab_fixs
def get_batch_data_V2(self,img_mvs,img_fixs,lab_mvs,lab_fixs):
fix_imgs = []
fix_labs = []
mv_imgs = []
mv_labs = []
for img_mv,img_fix,lab_mv,lab_fix in zip(img_mvs,img_fixs,lab_mvs,lab_fixs):
# print(str(index_mv)+":"+str(index_fix))
imgA, imgB = sitk.ReadImage(img_mv), sitk.ReadImage(img_fix)
imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
labA, labB = sitk.ReadImage(lab_mv), sitk.ReadImage(lab_fix)
mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
if self.is_train:
# 可以选择不同的label来做evaluate
candidate_label_index = [int(i) for i in self.args.components.split(',')]
label_index = candidate_label_index[np.random.randint(len(candidate_label_index))]
else:
label_index = self.args.component
'''
当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
'''
labA = sitk.GetArrayFromImage(labA)
labA = np.where(labA == label_index, 1, 0)
mv_labs.append(np.expand_dims(labA, axis=-1))
labB = sitk.GetArrayFromImage(labB)
labB = np.where(labB == label_index, 1, 0)
fix_labs.append(np.expand_dims(labB, axis=-1))
fix_imgs = np.array(fix_imgs).astype(np.float32)
fix_labs = np.array(fix_labs).astype(np.float32)
mv_imgs = np.array(mv_imgs).astype(np.float32)
mv_labs = np.array(mv_labs).astype(np.float32)
return fix_imgs, fix_labs, mv_imgs, mv_labs
def generate_sequnce_index(self):
index_mv=self.index//len(self.img_fix)
index_fix=self.index%len(self.img_fix)
self.index=self.index+1
self.index=self.index%(len(self.img_fix)*len(self.img_mv))
return index_mv,index_fix
def generate_random_index(self):
return np.random.randint(self.num),np.random.randint(self.num)
def get_batch_data(self,atlas,targets):
fix_imgs = []
fix_labs = []
mv_imgs = []
mv_labs = []
for index_mv,index_fix in zip(atlas,targets):
# print(str(index_mv)+":"+str(index_fix))
imgA, imgB = sitk.ReadImage(self.img_mv[index_mv]), sitk.ReadImage(self.img_fix[index_fix])
imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
# imgA, imgB = sitk.RescaleIntensity(imgA,0,1), sitk.RescaleIntensity(imgB,0,1)
# labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
# mv_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgA)), axis=-1))
# fix_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgB)), axis=-1))
if self.is_train:
#可以选择不同的label来做evaluate
candidate_label_index = [ int(i) for i in self.args.components.split(',')]
label_index=candidate_label_index[np.random.randint(len(candidate_label_index))]
else:
label_index=self.args.component
'''
当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
'''
labA=sitk.GetArrayFromImage(labA)
labA=np.where(labA == label_index, 1, 0)
mv_labs.append(np.expand_dims(labA,axis=-1))
labB=sitk.GetArrayFromImage(labB)
labB=np.where(labB == label_index, 1, 0)
fix_labs.append(np.expand_dims(labB,axis=-1))
fix_imgs = np.array(fix_imgs).astype(np.float32)
fix_labs = np.array(fix_labs).astype(np.float32)
mv_imgs = np.array(mv_imgs).astype(np.float32)
mv_labs = np.array(mv_labs).astype(np.float32)
return fix_imgs, fix_labs,mv_imgs,mv_labs
'''
用于做跨模态交叉验证的时候sampler
'''
class RegSampler():
def __init__(self, args, type):
self.args = args
validation_size=5
mode=parse_arg_list(args.mode)
if type == 'train':
self.is_train = True
self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode[0])))
self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode[0])))
# 所有的数据
self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode[1])))
self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode[1])))
if len(self.img_fix) > 0:
del self.img_fix[(args.fold - 1) * validation_size:(args.fold - 1) * validation_size + validation_size]
del self.lab_fix[(args.fold - 1) * validation_size:(args.fold - 1) * validation_size + validation_size]
if len(self.img_mv) > 0:
del self.img_mv[(args.fold - 1) * validation_size:(args.fold - 1) * validation_size + validation_size]
del self.lab_mv[(args.fold - 1) * validation_size:(args.fold - 1) * validation_size + validation_size]
elif type == 'validate':
self.is_train = False
self.img_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode[0])))
self.lab_mv = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode[0])))
self.img_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode[1])))
self.lab_fix = sort_glob('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode[1])))
if len(self.img_fix)>0:
self.img_fix=[self.img_fix[i] for i in range((args.fold-1)*validation_size,(args.fold-1)*validation_size+validation_size)]
self.lab_fix=[self.lab_fix[i] for i in range((args.fold-1)*validation_size,(args.fold-1)*validation_size+validation_size)]
if len(self.img_mv)>0:
self.img_mv=[self.img_mv[i] for i in range((args.fold-1)*validation_size,(args.fold-1)*validation_size+validation_size)]
self.lab_mv=[self.lab_mv[i] for i in range((args.fold-1)*validation_size,(args.fold-1)*validation_size+validation_size)]
else:
print("not support gen sampler type")
exit(-900)
if len(self.img_mv)!=len(self.lab_mv):
print("error,number of image and lab not equal")
exit(-900)
self.num=len(self.img_mv)
self.nb_pairs=len(self.img_fix)*len(self.img_mv)
self.len_fix=len(self.img_fix)
self.len_mv=len(self.img_mv)
self.index=0
def reset_sequnce_index(self):
self.index=0
def next_sample(self):
index_mvs=[]
index_fixs=[]
for i in range(self.args.batch_size):
if self.is_train:
index_mv,index_fix=self.generate_random_index()
else:
index_mv,index_fix=self.generate_sequnce_index()
index_mvs.append(index_mv)
index_fixs.append(index_fix)
# print(str(index_mv)+":"+str(index_fix))
return self.get_batch_data(index_mvs,index_fixs)
def get_batch_file(self):
img_mvs=[]
img_fixs=[]
lab_mvs=[]
lab_fixs=[]
for i in range(self.args.batch_size):
if self.is_train:
index_mv,index_fix=self.generate_random_index()
else:
index_mv,index_fix=self.generate_sequnce_index()
img_mvs.append(self.img_mv[index_mv])
lab_mvs.append(self.lab_mv[index_mv])
img_fixs.append(self.img_fix[index_fix])
lab_fixs.append(self.lab_fix[index_fix])
return img_mvs,img_fixs,lab_mvs,lab_fixs
def get_batch_data_V2(self,img_mvs,img_fixs,lab_mvs,lab_fixs):
fix_imgs = []
fix_labs = []
mv_imgs = []
mv_labs = []
for img_mv,img_fix,lab_mv,lab_fix in zip(img_mvs,img_fixs,lab_mvs,lab_fixs):
# print(str(index_mv)+":"+str(index_fix))
imgA, imgB = sitk.ReadImage(img_mv), sitk.ReadImage(img_fix)
imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
labA, labB = sitk.ReadImage(lab_mv), sitk.ReadImage(lab_fix)
mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
if self.is_train:
# 可以选择不同的label来做evaluate
candidate_label_index = [int(i) for i in self.args.components.split(',')]
label_index = candidate_label_index[np.random.randint(len(candidate_label_index))]
else:
label_index = self.args.component
'''
当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
'''
labA = sitk.GetArrayFromImage(labA)
labA = np.where(labA == label_index, 1, 0)
mv_labs.append(np.expand_dims(labA, axis=-1))
labB = sitk.GetArrayFromImage(labB)
labB = np.where(labB == label_index, 1, 0)
fix_labs.append(np.expand_dims(labB, axis=-1))
fix_imgs = np.array(fix_imgs).astype(np.float32)
fix_labs = np.array(fix_labs).astype(np.float32)
mv_imgs = np.array(mv_imgs).astype(np.float32)
mv_labs = np.array(mv_labs).astype(np.float32)
return fix_imgs, fix_labs, mv_imgs, mv_labs
def generate_sequnce_index(self):
index_mv=self.index//len(self.img_fix)
index_fix=self.index%len(self.img_fix)
self.index=self.index+1
self.index=self.index%(len(self.img_fix)*len(self.img_mv))
return index_mv,index_fix
def generate_random_index(self):
return np.random.randint(self.num),np.random.randint(self.num)
def get_batch_data(self,atlas,targets):
fix_imgs = []
fix_labs = []
mv_imgs = []
mv_labs = []
for index_mv,index_fix in zip(atlas,targets):
# print(str(index_mv)+":"+str(index_fix))
imgA, imgB = sitk.ReadImage(self.img_mv[index_mv]), sitk.ReadImage(self.img_fix[index_fix])
imgA, imgB = sitk.RescaleIntensity(imgA), sitk.RescaleIntensity(imgB)
labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
mv_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgA), axis=None), axis=-1))
fix_imgs.append(np.expand_dims(zscore(sitk.GetArrayFromImage(imgB), axis=None), axis=-1))
# imgA, imgB = sitk.RescaleIntensity(imgA,0,1), sitk.RescaleIntensity(imgB,0,1)
# labA, labB = sitk.ReadImage(self.lab_mv[index_mv]), sitk.ReadImage(self.lab_fix[index_fix])
# mv_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgA)), axis=-1))
# fix_imgs.append(np.expand_dims((sitk.GetArrayFromImage(imgB)), axis=-1))
# if self.is_train:
# 可以选择不同的label来做evaluate
# candidate_label_index = [ int(i) for i in self.args.components.split(',')]
# label_index=candidate_label_index[np.random.randint(len(candidate_label_index))]
# else:
label_index=self.args.component
'''
当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
'''
labA=sitk.GetArrayFromImage(labA)
labA=np.where(labA == label_index, 1, 0)
mv_labs.append(np.expand_dims(labA,axis=-1))
labB=sitk.GetArrayFromImage(labB)
labB=np.where(labB == label_index, 1, 0)
fix_labs.append(np.expand_dims(labB,axis=-1))
fix_imgs = np.array(fix_imgs).astype(np.float32)
fix_labs = np.array(fix_labs).astype(np.float32)
mv_imgs = np.array(mv_imgs).astype(np.float32)
mv_labs = np.array(mv_labs).astype(np.float32)
return fix_imgs, fix_labs,mv_imgs,mv_labs
from tool.parse import parse_arg_list
class MMSampler():
def __init__(self, args, type):
self.args = args
mode_list = parse_arg_list(args.mode, 'str')
if type == 'train':
self.is_train = True
self.img_mv1 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode_list[0])))
self.lab_mv1 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode_list[0])))
self.img_mv2 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%mode_list[1]))
self.lab_mv2 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%mode_list[1]))
self.img_fix = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%mode_list[2]))
self.lab_fix = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%mode_list[2]))
self.img_fix,_=glob_cross_validation_files(self.img_fix,5,args.fold)
self.lab_fix,_=glob_cross_validation_files(self.lab_fix,5,args.fold)
self.img_mv1,_=glob_cross_validation_files(self.img_mv1,5,args.fold)
self.lab_mv1,_=glob_cross_validation_files(self.lab_mv1,5,args.fold)
self.img_mv2,_=glob_cross_validation_files(self.img_mv2,5,args.fold)
self.lab_mv2,_=glob_cross_validation_files(self.lab_mv2,5,args.fold)
elif type == 'validate':
self.is_train = False
self.img_mv1 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode_list[0])))
self.lab_mv1 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode_list[0])))
self.img_mv2 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode_list[1])))
self.lab_mv2 = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode_list[1])))
self.img_fix = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/img'%(mode_list[2])))
self.lab_fix = ('{}/*.*'.format(args.dataset_dir + '/%s/rez/lab'%(mode_list[2])))
_,self.img_fix=glob_cross_validation_files(self.img_fix,5,args.fold)
_,self.lab_fix=glob_cross_validation_files(self.lab_fix,5,args.fold)
_,self.img_mv1=glob_cross_validation_files(self.img_mv1,5,args.fold)
_,self.lab_mv1=glob_cross_validation_files(self.lab_mv1,5,args.fold)
_,self.img_mv2=glob_cross_validation_files(self.img_mv2,5,args.fold)
_,self.lab_mv2=glob_cross_validation_files(self.lab_mv2,5,args.fold)
else:
print("not support gen sampler type")
exit(-900)
if len(self.img_mv1)!=len(self.lab_mv1):
print("error,number of image and lab not equal")
exit(-900)
self.num=len(self.img_mv1)
self.nb_pairs=len(self.img_fix)*len(self.img_mv1)
self.len_fix=len(self.img_fix)
self.len_mv1=len(self.img_mv1)
self.len_mv2=len(self.img_mv2)
self.index=0
def next_sample(self):
mv_img1, mv_lab1, mv_img2, mv_lab2, fix_img, fix_lab= self.get_data_path()
return self.get_batch_data(mv_img1,mv_lab1,mv_img2,mv_lab2,fix_img,fix_lab)
def get_data_path(self ):
mv_img1=[]
mv_img2=[]
mv_lab1=[]
mv_lab2=[]
fix_img=[]
fix_lab=[]
for i in range(self.args.batch_size):
if self.is_train:
index_mv, index_fix = self.generate_random_index()
else:
index_mv, index_fix = self.generate_sequnce_index()
mv_img1.append(self.img_mv1[index_mv])
mv_img2.append(self.img_mv2[index_mv])
mv_lab1.append(self.lab_mv1[index_mv])
mv_lab2.append(self.lab_mv2[index_mv])
fix_img.append(self.img_fix[index_fix])
fix_lab.append(self.lab_fix[index_fix])
# print(str(index_mv)+":"+str(index_fix))
return mv_img1, mv_lab1, mv_img2,mv_lab2,fix_img, fix_lab
def get_batch_data(self, mv_img1s, mv_lab1s, mv_img2s, mv_lab2s, fix_imgs, fix_labs):
arr_mv_img1s = []
arr_mv_lab1s = []
arr_mv_img2s = []
arr_mv_lab2s = []
arr_fix_imgs = []
arr_fix_labs = []
for mv_img1,mv_lab1,mv_img2,mv_lab2,fix_img,fix_lab in zip(mv_img1s, mv_lab1s, mv_img2s, mv_lab2s, fix_imgs, fix_labs):
arr_fix_img,arr_fix_lab=self.read_data( fix_img, fix_lab)
arr_fix_imgs.append(arr_fix_img)
arr_fix_labs.append(arr_fix_lab)
arr_mv1_img,arr_mv1_lab=self.read_data( mv_img1, mv_lab1)
arr_mv_img1s.append(arr_mv1_img)
arr_mv_lab1s.append(arr_mv1_lab)
arr_mv2_img,arr_mv2_lab=self.read_data( mv_img2, mv_lab2)
arr_mv_img2s.append(arr_mv2_img)
arr_mv_lab2s.append(arr_mv2_lab)
ret_mv_img1s = np.array(arr_mv_img1s).astype(np.float32)
ret_mv_lab1s = np.array(arr_mv_lab1s).astype(np.float32)
ret_mv_img2s = np.array(arr_mv_img2s).astype(np.float32)
ret_mv_lab2s = np.array(arr_mv_lab2s).astype(np.float32)
ret_fix_imgs = np.array(arr_fix_imgs).astype(np.float32)
ret_fix_labs = np.array(arr_fix_labs).astype(np.float32)
return ret_mv_img1s,ret_mv_lab1s,ret_mv_img2s,ret_mv_lab2s,ret_fix_imgs,ret_fix_labs
def read_data(self, img, lab):
# print(str(index_mv)+":"+str(index_fix))
sitk_mv_img = sitk.ReadImage(img)
sitk_mv_img= sitk.RescaleIntensity(sitk_mv_img)
arr_mv_img=np.expand_dims(zscore(sitk.GetArrayFromImage(sitk_mv_img), axis=None), axis=-1)
sitk_mv_lab= sitk.ReadImage(lab)
'''
当数据是D*W*H的时候,这个数据的值可能是[1,NB_lable],所以需要进行np.where转换
当数据是D*W*H*C的时候,这个数据如果有通道C,则里面的数据保证为0,1
最后神经网络的输入数据为 D*W*H*1 ,在本网络中,支持的是这种数据
'''
arr_mv_lab = sitk.GetArrayFromImage(sitk_mv_lab)
arr_mv_lab = np.where(arr_mv_lab == self.args.component, 1, 0)
arr_mv_lab=np.expand_dims(arr_mv_lab,axis=-1)
return arr_mv_img,arr_mv_lab
def generate_sequnce_index(self):
index_mv=self.index//len(self.img_fix)
index_fix=self.index%len(self.img_fix)
self.index=self.index+1
self.index=self.index%(len(self.img_fix) * len(self.img_mv1))
return index_mv,index_fix
def generate_random_index(self):
return np.random.randint(self.num),np.random.randint(self.num)
class Conven_Sampler(Sampler):
def __init__(self):
pass | 48.236311 | 173 | 0.603059 | 4,709 | 33,476 | 4.026333 | 0.035464 | 0.047627 | 0.032173 | 0.063291 | 0.928903 | 0.912922 | 0.906224 | 0.899631 | 0.896044 | 0.891403 | 0 | 0.01779 | 0.246057 | 33,476 | 694 | 174 | 48.236311 | 0.733428 | 0.323724 | 0 | 0.727979 | 0 | 0 | 0.042959 | 0.005883 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062176 | false | 0.002591 | 0.025907 | 0.007772 | 0.145078 | 0.015544 | 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 |
d084f5f90399cd901534e1ab12d43cfc2969b271 | 23,330 | py | Python | reason.py | Harkishen-Singh/Agriculture-DS | f36a4124b754023e443ad1a94ad52cb2b92cf723 | [
"Apache-2.0"
] | null | null | null | reason.py | Harkishen-Singh/Agriculture-DS | f36a4124b754023e443ad1a94ad52cb2b92cf723 | [
"Apache-2.0"
] | null | null | null | reason.py | Harkishen-Singh/Agriculture-DS | f36a4124b754023e443ad1a94ad52cb2b92cf723 | [
"Apache-2.0"
] | null | null | null | from manures import Manures
from openpyxl import load_workbook, Workbook
import csv
class Reason(Manures):
def format_check(self):
file1 = load_workbook(self.sortedFileName)
print(self.sortedFileName)
sheet1 = file1['Sorted']
count = 2
isWrong = False
while sheet1.cell(row=count, column=2).value != None :
cross = sheet1.cell(row=count, column=21).value
if cross == None: break
#print(count)
if cross.lower() != 'irrigated' and cross.lower() != 'rainfed' and cross.lower() != 'un-irrigated' \
and cross.lower() != 'unirrigated' :
isWrong = True
break
count = count + 1
if isWrong == True:
print('The file '+self.sortedFileName + ' doesnot contain the required data in column 21 in the required format.')
print('Irrigation format wrong')
exit(0)
isWrong = False
count = 2
while sheet1.cell(row=count, column=6).value != None:
count = count + 1
cross = sheet1.cell(row=count, column=6).value
if cross == None: break
if cross.lower() != 'conventional' and cross.lower() != 'sri' :
isWrong = True
break
count = count + 1
if isWrong == True:
print('The file ' + self.sortedFileName + ' doesnot contain the required data in column 21 in the required format.')
print('seeds detail format first part wrong')
exit(0)
isWrong = False
count = 2
while sheet1.cell(row=count, column=7).value != None:
count = count + 1
cross = sheet1.cell(row=count, column=7).value
if cross == None: break
if cross.lower() != 'high yieldling' and cross.lower() != 'local' :
isWrong = True
break
count = count + 1
isWrong = False
if isWrong == True :
print('The file ' + self.sortedFileName + ' doesnot contain the required data in column 21 in the required format.')
print('seeds details format second part wrong')
exit(0)
isWrong = False
self.bad()
def bad(self):
file = load_workbook(self.sortedFileName_Bad)
sheet = file['Sorted']
self.isIrrigatedType = [0] * 3
self.isIrrigatedType_counter=0
# irrigated, rainfed, unirrigated
self.seed_Details_part1 = [0] * 2
self.seed_Details_part1_counter = 0
# conventional , sri
self.seed_Details_part2 = [0] * 3
self.seed_Details_part2_counter = 0
# high yielding, local, hybrid
count = 1
# pests damage avergae calculation
self.pestDamage = 0
self.pestDamage_counter = 0
file2 = load_workbook('./ratios/ratio_bad_'+self.workbook_name2+'.xlsx')
sheet2 = file2['Sheet']
count2 = 1
sheet2.cell(row=1, column=8, value='irrigated ratio')
sheet2.cell(row=1, column=9, value='rainfed ratio')
sheet2.cell(row=1, column=10, value='unirrigated ratio')
sheet2.cell(row=1, column=11, value='conventional ratio')
sheet2.cell(row=1, column=12, value='sri ratio')
sheet2.cell(row=1, column=13, value='high yielding ratio')
sheet2.cell(row=1, column=14, value='local ratio')
sheet2.cell(row=1, column=15, value='hybrid ratio')
sheet2.cell(row=1, column=16, value='pest damage')
while sheet2.cell(row= count2, column=4).value != None:
#print('Entered sheet2 part')
count2 += 1
variety = sheet2.cell(row= count2, column=4).value
if variety == None: break
checker2 = False
count = 2
while sheet.cell(row=count, column= 2).value != None:
count = count + 1
#print('sheet1 entered')
# irrigation type part below
if variety == sheet.cell(row = count, column=8 ).value :
checker2 = True
if sheet.cell(row = count, column= 21).value.lower() == 'irrigated':
self.isIrrigatedType[0] += 1
self.isIrrigatedType_counter += 1
elif sheet.cell(row=count, column= 21).value.lower() == 'rainfed':
self.isIrrigatedType[1] += 1
self.isIrrigatedType_counter +=1
elif sheet.cell(row=count, column= 21).value.lower() == 'un-irrigated'or \
sheet.cell(row=count, column=21).value.lower() == 'un irrigated':
self.isIrrigatedType[2] +=1
self.isIrrigatedType_counter += 1
else:
print('Some problem in checking the irrigation type from the database')
print('this : '+ sheet.cell(row=count, column= 21).value)
# seed details part1 below
if sheet.cell(row= count, column= 6).value.lower() == 'conventional':
self.seed_Details_part1[0] +=1
self.seed_Details_part1_counter +=1
elif sheet.cell(row= count, column= 6).value.lower() == 'sri':
self.seed_Details_part1[1] += 1
self.seed_Details_part1_counter += 1
else:
print('Some problem in checking the seed type part 1')
# seed details part2 below
if sheet.cell(row=count, column=7).value.lower() == 'high yielding variety':
self.seed_Details_part2[0] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'local':
self.seed_Details_part2[1] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'hybrid':
self.seed_Details_part2[2] += 1
self.seed_Details_part2_counter += 1
else:
print('Some problem in checking the seed type part 2')
if type(sheet.cell(row=count, column= 24).value) == float or type(sheet.cell(row=count, column=24).value) == int:
self.pestDamage += sheet.cell(row=count, column= 24).value
self.pestDamage_counter += 1
if variety != sheet.cell(row = count, column=8 ).value and checker2==True:
#print('reached here 11')
ratio = self.isIrrigatedType[0] / self.isIrrigatedType_counter
sheet2.cell(row= count2, column=8, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[1] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=9, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[2] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=10, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[0] / self.seed_Details_part1_counter
sheet2.cell(row = count2, column= 11, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[1] / self.seed_Details_part1_counter
sheet2.cell(row=count2, column=12, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[0] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=13, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[1] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=14, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[2] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=15, value=ratio)
try :
ratio = self.pestDamage / self.pestDamage_counter
except ZeroDivisionError :
sheet2.cell(row=count2, column=16, value=0)
else:
sheet2.cell(row=count2, column=16, value=ratio)
ratio = 0
# initialising all to zero
self.isIrrigatedType = [0,0,0]; self.isIrrigatedType_counter = 0
self.seed_Details_part1 = [0,0]; self.seed_Details_part1_counter = 0
self.seed_Details_part2 = [0,0,0]; self.seed_Details_part2_counter = 0
self.pestDamage_counter = 0; self.pestDamage = 0
checker2 = False
break
if sheet.cell(row=count, column=8).value == None: break
file2.save('./ratios/ratio_bad_'+self.workbook_name2+'.xlsx')
self.normal()
def normal(self):
file = load_workbook(self.sortedFileName_Normal)
sheet = file['Sorted']
self.isIrrigatedType = [0] * 3
self.isIrrigatedType_counter=0
# irrigated, rainfed, unirrigated
self.seed_Details_part1 = [0] * 2
self.seed_Details_part1_counter = 0
# conventional , sri
self.seed_Details_part2 = [0] * 3
self.seed_Details_part2_counter = 0
# high yielding, local, hybrid
count = 1
# pests damage avergae calculation
self.pestDamage = 0
self.pestDamage_counter = 0
file2 = load_workbook('./ratios/ratio_normal_'+self.workbook_name2+'.xlsx')
sheet2 = file2['Sheet']
count2 = 1
sheet2.cell(row=1, column=8, value='irrigated ratio')
sheet2.cell(row=1, column=9, value='rainfed ratio')
sheet2.cell(row=1, column=10, value='unirrigated ratio')
sheet2.cell(row=1, column=11, value='conventional ratio')
sheet2.cell(row=1, column=12, value='sri ratio')
sheet2.cell(row=1, column=13, value='high yielding ratio')
sheet2.cell(row=1, column=14, value='local ratio')
sheet2.cell(row=1, column=15, value='hybrid ratio')
sheet2.cell(row=1, column=16, value='pest damage')
while sheet2.cell(row= count2, column=4).value != None:
#print('Entered sheet2 part')
count2 += 1
variety = sheet2.cell(row= count2, column=4).value
if variety == None: break
checker2 = False
count = 2
while sheet.cell(row=count, column= 2).value != None:
count = count + 1
#print('sheet1 entered')
# irrigation type part below
if variety == sheet.cell(row = count, column=8 ).value :
checker2 = True
if sheet.cell(row = count, column= 21).value.lower() == 'irrigated':
self.isIrrigatedType[0] += 1
self.isIrrigatedType_counter += 1
elif sheet.cell(row=count, column= 21).value.lower() == 'rainfed':
self.isIrrigatedType[1] += 1
self.isIrrigatedType_counter +=1
elif sheet.cell(row=count, column= 21).value.lower() == 'un-irrigated'or \
sheet.cell(row=count, column=21).value.lower() == 'un irrigated':
self.isIrrigatedType[2] +=1
self.isIrrigatedType_counter += 1
else:
print('Some problem in checking the irrigation type from the database')
print('this : ' + sheet.cell(row=count, column=21).value)
# seed details part1 below
if sheet.cell(row= count, column= 6).value.lower() == 'conventional':
self.seed_Details_part1[0] +=1
self.seed_Details_part1_counter +=1
elif sheet.cell(row= count, column= 6).value.lower() == 'sri':
self.seed_Details_part1[1] += 1
self.seed_Details_part1_counter += 1
else:
print('Some problem in checking the seed type part 1')
# seed details part2 below
if sheet.cell(row=count, column=7).value.lower() == 'high yielding variety':
self.seed_Details_part2[0] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'local':
self.seed_Details_part2[1] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'hybrid':
self.seed_Details_part2[2] += 1
self.seed_Details_part2_counter += 1
else:
print('Some problem in checking the seed type part 2')
if type(sheet.cell(row=count, column= 24).value) == float or type(sheet.cell(row=count, column=24).value) == int:
self.pestDamage += sheet.cell(row=count, column= 24).value
self.pestDamage_counter += 1
## also add an extension for hybrid
if variety != sheet.cell(row = count, column=8 ).value and checker2==True:
#print('reached here 11')
ratio = self.isIrrigatedType[0] / self.isIrrigatedType_counter
sheet2.cell(row= count2, column=8, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[1] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=9, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[2] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=10, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[0] / self.seed_Details_part1_counter
sheet2.cell(row = count2, column= 11, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[1] / self.seed_Details_part1_counter
sheet2.cell(row=count2, column=12, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[0] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=13, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[1] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=14, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[2] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=15, value=ratio)
try :
ratio = self.pestDamage / self.pestDamage_counter
except ZeroDivisionError :
sheet2.cell(row=count2, column=16, value=0)
else:
sheet2.cell(row=count2, column=16, value=ratio)
ratio = 0
# initialising all to zero
self.isIrrigatedType = [0,0,0]; self.isIrrigatedType_counter = 0
self.seed_Details_part1 = [0,0]; self.seed_Details_part1_counter = 0
self.seed_Details_part2 = [0,0,0]; self.seed_Details_part2_counter = 0
self.pestDamage_counter = 0;
self.pestDamage = 0
checker2 = False
break
if sheet.cell(row=count, column=8).value == None: break
file2.save('./ratios/ratio_normal_'+self.workbook_name2+'.xlsx')
self.good()
def good(self):
file = load_workbook(self.sortedFileName_Good)
sheet = file['Sorted']
self.isIrrigatedType = [0] * 3
self.isIrrigatedType_counter=0
# irrigated, rainfed, unirrigated
self.seed_Details_part1 = [0] * 2
self.seed_Details_part1_counter = 0
# conventional , sri
self.seed_Details_part2 = [0] * 3
self.seed_Details_part2_counter = 0
# high yielding, local, hybrid
count = 1
# pests damage avergae calculation
self.pestDamage = 0
self.pestDamage_counter = 0
file2 = load_workbook('./ratios/ratio_good_'+self.workbook_name2+'.xlsx')
sheet2 = file2['Sheet']
count2 = 1
sheet2.cell(row=1, column=8, value='irrigated ratio')
sheet2.cell(row=1, column=9, value='rainfed ratio')
sheet2.cell(row=1, column=10, value='unirrigated ratio')
sheet2.cell(row=1, column=11, value='conventional ratio')
sheet2.cell(row=1, column=12, value='sri ratio')
sheet2.cell(row=1, column=13, value='high yielding ratio')
sheet2.cell(row=1, column=14, value='local ratio')
sheet2.cell(row=1, column=15, value='hybrid ratio')
sheet2.cell(row=1, column=16, value='pest damage')
while sheet2.cell(row= count2, column=4).value != None:
#print('Entered sheet2 part')
count2 += 1
variety = sheet2.cell(row= count2, column=4).value
if variety == None: break
checker2 = False
count = 2
while sheet.cell(row=count, column= 2).value != None:
count = count + 1
#print('sheet1 entered')
# irrigation type part below
if variety == sheet.cell(row = count, column=8 ).value :
checker2 = True
if sheet.cell(row = count, column= 21).value.lower() == 'irrigated':
self.isIrrigatedType[0] += 1
self.isIrrigatedType_counter += 1
elif sheet.cell(row=count, column= 21).value.lower() == 'rainfed':
self.isIrrigatedType[1] += 1
self.isIrrigatedType_counter +=1
elif sheet.cell(row=count, column= 21).value.lower() == 'un-irrigated' or \
sheet.cell(row=count, column=21).value.lower() == 'un irrigated':
self.isIrrigatedType[2] +=1
self.isIrrigatedType_counter += 1
else:
print('Some problem in checking the irrigation type from the database')
print('this : ' + sheet.cell(row=count, column=21).value)
# seed details part1 below
if sheet.cell(row= count, column= 6).value.lower() == 'conventional':
self.seed_Details_part1[0] +=1
self.seed_Details_part1_counter +=1
elif sheet.cell(row= count, column= 6).value.lower() == 'sri':
self.seed_Details_part1[1] += 1
self.seed_Details_part1_counter += 1
else:
print('Some problem in checking the seed type part 1')
# seed details part2 below
if sheet.cell(row=count, column=7).value.lower() == 'high yielding variety':
self.seed_Details_part2[0] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'local':
self.seed_Details_part2[1] += 1
self.seed_Details_part2_counter += 1
elif sheet.cell(row=count, column=7).value.lower() == 'hybrid':
self.seed_Details_part2[2] += 1
self.seed_Details_part2_counter += 1
else:
print('Some problem in checking the seed type part 2')
if type(sheet.cell(row=count, column= 24).value) == float or type(sheet.cell(row=count, column=24).value) == int:
self.pestDamage += sheet.cell(row=count, column= 24).value
self.pestDamage_counter += 1
## also add an extension for hybrid
if variety != sheet.cell(row = count, column=8 ).value and checker2==True:
#print('reached here 11')
ratio = self.isIrrigatedType[0] / self.isIrrigatedType_counter
sheet2.cell(row= count2, column=8, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[1] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=9, value=ratio)
#print(ratio)
ratio = self.isIrrigatedType[2] / self.isIrrigatedType_counter
sheet2.cell(row=count2, column=10, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[0] / self.seed_Details_part1_counter
sheet2.cell(row = count2, column= 11, value=ratio)
#print(ratio)
ratio = self.seed_Details_part1[1] / self.seed_Details_part1_counter
sheet2.cell(row=count2, column=12, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[0] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=13, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[1] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=14, value=ratio)
#print(ratio)
ratio = self.seed_Details_part2[2] / self.seed_Details_part2_counter
sheet2.cell(row=count2, column=15, value=ratio)
try :
ratio = self.pestDamage / self.pestDamage_counter
except ZeroDivisionError :
sheet2.cell(row=count2, column=16, value=0)
else:
sheet2.cell(row=count2, column=16, value=ratio)
ratio = 0
# initialising all to zero
self.isIrrigatedType = [0,0,0]; self.isIrrigatedType_counter = 0
self.seed_Details_part1 = [0,0]; self.seed_Details_part1_counter = 0
self.seed_Details_part2 = [0,0,0]; self.seed_Details_part2_counter = 0
self.pestDamage_counter = 0;
self.pestDamage = 0
checker2 = False
break
if sheet.cell(row=count, column=8).value == None: break
file2.save('./ratios/ratio_good_'+self.workbook_name2+'.xlsx')
obj = Reason()
obj.individualAllotment()
obj.process_General()
obj.xx()
obj.avg_Good()
obj.bad()
| 46.753507 | 133 | 0.530519 | 2,538 | 23,330 | 4.767139 | 0.053586 | 0.069427 | 0.104141 | 0.0848 | 0.95512 | 0.953137 | 0.935119 | 0.925118 | 0.919663 | 0.919663 | 0 | 0.045901 | 0.366867 | 23,330 | 498 | 134 | 46.84739 | 0.773204 | 0.051436 | 0 | 0.882514 | 0 | 0 | 0.077658 | 0.001994 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010929 | false | 0 | 0.008197 | 0 | 0.021858 | 0.051913 | 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 |
d0bc74485916cda124228bc02de89ceb62a1ab85 | 30,976 | py | Python | mp3TrackNumberAnalysis.py | tgadf/mp3id | 8f4f900df8ec5c8d525f8bf8701238ddc841ffff | [
"MIT"
] | null | null | null | mp3TrackNumberAnalysis.py | tgadf/mp3id | 8f4f900df8ec5c8d525f8bf8701238ddc841ffff | [
"MIT"
] | null | null | null | mp3TrackNumberAnalysis.py | tgadf/mp3id | 8f4f900df8ec5c8d525f8bf8701238ddc841ffff | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 28 10:42:08 2017
@author: tgadfort
"""
import re
def showTrkNoData(debug, trackname, pattern, retvals, mvals):
if mvals:
mvals = [int(x) for x in mvals]
if debug:
print trackname,'\tPattern -> \"'+pattern+'\"\tResults ->',retvals,'\t==> ',mvals
return mvals
def findTrkNo(currtrackname, debug = False):
mvals = None
trackname = currtrackname.replace("11 O'Clock", "")
#trackname = trackname.replace(".mp3", "")
#trackname = trackname.replace("mp3", "")
if debug:
print "Trackname =>",trackname
######################################################################
pattern = "SIDE [1-9]_[0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split("_")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "Track[0-9][0-9] [0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split()
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "Disc [1-9] - [0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split("-")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "disc[1-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][4:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "disc [1-9] t[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split('t')
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "CD[1-9]-[0-9][0-9]-"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][2:-1]
mvals = mvals.split("-")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "Part_[1-9]_Tr\.[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split("_Tr.")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "Part_[1-9]_Tr[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = mvals.split("_Tr")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "disc one [0-9][0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][9:]
mvals = [ 1, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "disc two [0-9][0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][9:]
mvals = [ 2, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "\[[1-9]-[0-9][0-9]\]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split('-')
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[0-9][0-9] tr[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("tr")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "t[0-9][0-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = [ mvals[:2], mvals[2:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "D[1-9]T[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("T")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "D[1-9]t[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("t")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9]tr[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("tr")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9]tk[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("tk")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9] tr[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("tr")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9]t[0-9][0-9]\."
#print "HERE",pattern,trackname
retvals = re.findall(pattern, trackname)
#print "RET",retvals
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("t")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "s[1-9]t[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("t")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9][0-9][0-9]\_"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "d[1-9]t[0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("t")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "tr[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][2:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "t[0-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "t[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "D[1-9] Track [0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = mvals.split("Track")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]-Track [0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][:-1]
mvals = mvals.split("-Track")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]-Track [0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][:-1]
mvals = mvals.split("-Track")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "Track[0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][5:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "D[0-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "A[1-9] - "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-3]
mvals = [ 1, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "B[1-9] - "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-3]
mvals = [ 2, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "C[1-9] - "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-3]
mvals = [ 3, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "D[1-9] - "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[-1][1:-3]
mvals = [ 4, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
######################################################################
######################################################################
######################################################################
pattern = "- [0-9][0-9] -"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][2:-2]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "- [0-9][0-9][0-9][0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][2:]
mvals = [ mvals[:2], mvals[2:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = " -[1-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][2:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9][0-9]\. "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-2]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9]\. "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-2]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9]-[0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = mvals.split("-")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9][0-9][0-9]-"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9][0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9]-[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = mvals.split("-")
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9][0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9] - "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-3]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]-"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9]\."
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9] "
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0][:-1]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
######################################################################
######################################################################
######################################################################
pattern = "one"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = [ 0, 1 ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "two"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = [ 0, 2 ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "SIDE A"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = [ 1, 1 ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "SIDE B"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = [ 2, 1 ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[1-9][0-9][0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0]
mvals = [ mvals[:1], mvals[1:] ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9][0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
######################################################################
pattern = "[0-9]"
retvals = re.findall(pattern, trackname)
if retvals:
mvals = retvals[0]
mvals = [ 0, mvals ]
return showTrkNoData(debug, trackname, pattern, retvals, mvals)
return [None,None]
trk1a = re.compile(r'[0-9][0-9] - ')
mo1a = trk1a.search(trackname)
if mo1a: mvals = [ 0,mo1a.group()[:-3] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r's[1-9]-[0-9][0-9].')
mo1a = trk1a.search(trackname)
#print trackname,'\t',mo1a
if mo1a: mvals = mo1a.group()[1:-1].split('-')
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'disc[1-9][0-9][0-9]')
mo1a = trk1a.search(trackname)
if mo1a:
mval = mo1a.group()[4:]
mvals = [ mval[:1], mval[1:] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'disc[1-9]track[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[4:-1].split("track")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'A[0-9][0-9] ')
trk1b = re.compile(r'B[0-9][0-9] ')
trk1c = re.compile(r'a[0-9][0-9] ')
trk1d = re.compile(r'b[0-9][0-9] ')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
if mo1a: mvals = [ 1, mo1a.group()[1:-1] ]
if mo1b: mvals = [ 2, mo1b.group()[1:-1] ]
if mo1c: mvals = [ 1, mo1c.group()[1:-1] ]
if mo1d: mvals = [ 2, mo1d.group()[1:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'A[0-9][0-9].')
trk1b = re.compile(r'B[0-9][0-9].')
trk1c = re.compile(r'a[0-9][0-9].')
trk1d = re.compile(r'b[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
if mo1a: mvals = [ 1, mo1a.group()[1:-1] ]
if mo1b: mvals = [ 2, mo1b.group()[1:-1] ]
if mo1c: mvals = [ 1, mo1c.group()[1:-1] ]
if mo1d: mvals = [ 2, mo1d.group()[1:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'd[1-9] tr[0-9][0-9].')
trk1b = re.compile(r'd[1-9] t[0-9][0-9] ')
trk1c = re.compile(r'd[1-9] t[0-9][0-9]')
trk1d = re.compile(r'd[1-9]tr[0-9][0-9].')
trk1e = re.compile(r'd[1-9]_t[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
mo1e = trk1e.search(trackname)
#print trackname,'\t',mo1a,mo1b,mo1c
if mo1a: mvals = mo1a.group()[1:-1].split("tr")
elif mo1b: mvals = mo1b.group()[1:-1].split("t")
elif mo1c: mvals = mo1c.group()[1:].split("t")
elif mo1d: mvals = mo1d.group()[1:-1].split("tr")
elif mo1e: mvals = mo1e.group()[1:-1].split("_t")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'd[1-9]t[1-9][0-9][0-9].')
trk1b = re.compile(r'd[0-9][0-9]t[0-9][0-9].')
trk1c = re.compile(r'd[1-9]t[0-9][0-9].')
trk1d = re.compile(r'd[1-9]t[1-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split('t')
elif mo1b: mvals = mo1b.group()[1:-1].split('t')
elif mo1c: mvals = mo1c.group()[1:-1].split('t')
elif mo1d:
mval = mo1d.group()[1:-1].split('t')
mvals = [ mval[0], mval[1][1:] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'd[0-9][0-9]t[0-9][0-9] ')
trk1b = re.compile(r'd[1-9]t[0-9][0-9] ')
trk1c = re.compile(r'd[1-9]t[1-9] ')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split('t')
elif mo1b: mvals = mo1b.group()[1:-1].split('t')
elif mo1c: mvals = mo1c.group()[1:-1].split('t')
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'd[0-9][0-9]t[0-9][0-9]_')
trk1b = re.compile(r'd[1-9]t[0-9][0-9]_')
trk1c = re.compile(r'd[1-9]t[1-9]_')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split('t')
elif mo1b: mvals = mo1b.group()[1:-1].split('t')
elif mo1c: mvals = mo1c.group()[1:-1].split('t')
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r's[0-9][0-9]t[0-9][0-9].')
trk1b = re.compile(r's[1-9]t[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split('t')
elif mo1b: mvals = mo1b.group()[1:-1].split('t')
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'set[1-9]t[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[3:-1].split("t")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'[1-9]Track[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[:-1].split("Track")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'cd[1-9]song[0-9][0-9].')
trk1b = re.compile(r'cd[1-9]song[1-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
if mo1a: mvals = mo1a.group()[2:-1].split("song")
elif mo1b: mvals = mo1b.group()[2:-1].split("song")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'CD[1-9]_[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[2:-1].split("_")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'Disc [1-9] - [0-9][0-9].')
mo1a = trk1a.search(trackname)
#print trackname,'\t',mo1a
if mo1a: mvals = mo1a.group()[5:-1].split(" - ")
#print mvals
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'D[0-9][0-9]T[0-9][0-9].')
trk1b = re.compile(r'D[1-9]T[0-9][0-9].')
trk1c = re.compile(r'D[1-9]_T[0-9][0-9]-')
trk1d = re.compile(r'D[1-9] t[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
#print trackname,'\t',mo1a,mo1b,mo1c
if mo1a: mvals = mo1a.group()[1:-1].split("T")
elif mo1b: mvals = mo1b.group()[1:-1].split("T")
elif mo1c: mvals = mo1c.group()[1:-1].split("_T")
elif mo1d: mvals = mo1d.group()[1:-1].split("t")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'D[1-9]-[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split("-")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'CD[1-9] ')
mo1a = trk1a.search(trackname)
if mo1a:
disc = mo1a.group()[2:-1]
tmpname = trackname.replace(mo1a.group(), "")
trk1a = re.compile(r'[1-9][0-9]')
trk1b = re.compile(r' [1-9]')
mo1a = trk1a.search(tmpname)
mo1b = trk1b.search(trackname)
if mo1a: mvals = [ disc, mo1a.group() ]
elif mo1b: mvals = [ disc, mo1b.group()[1:] ]
#print tmpname,'\t',disc,'\t',mvals
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'D[1-9]-Track[0-9][0-9]-')
trk1b = re.compile(r'D[1-9] Track [0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1a.search(trackname)
if mo1a: mvals = mo1a.group()[1:-1].split("Track")
if mo1b: mvals = mo1b.group()[1:-1].split("Track")
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'Track[1-9][0-9][0-9].')
trk1b = re.compile(r'Track[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
if mo1a:
mvals = [ mo1a.group()[5:-3], mo1a.group()[6:-1] ]
elif mo1b:
mvals = [ 1, mo1b.group()[5:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'Track [0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a:
mvals = [ 0, mo1a.group()[6:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r't[0-9][0-9].')
trk1b = re.compile(r't[1-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
print trackname,mo1a.group(),mo1b.group()
if mo1a: mvals = [ 0,mo1a.group()[1:-1] ]
elif mo1b: mvals = [ 0,mo1b.group()[1:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r't-[0-9][0-9].')
mo1a = trk1a.search(trackname)
if mo1a: mvals = [ 0,mo1a.group()[2:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'tr[0-9][0-9].')
mo1a = trk1a.search(trackname)
#print trackname,'\t',mo1a
if mo1a:
mvals = [ 0, mo1a.group()[2:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'missing[0-9][0-9].')
mo1a = trk1a.search(trackname)
#print trackname,'\t',mo1a
if mo1a:
mvals = [ 0, mo1a.group()[7:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r' [1-9][0-9][0-9] ')
trk1b = re.compile(r'[1-9][0-9][0-9] ')
trk1c = re.compile(r'-[1-9][0-9][0-9]-')
trk1d = re.compile(r'[1-9][0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
mo1c = trk1c.search(trackname)
mo1d = trk1d.search(trackname)
#print trackname,'\t',mo1a, mo1b, mo1c.group(), mo1d.group()
if mo1a or mo1b or mo1c or mo1d:
mvals = None
if mo1a: mvals = int(mo1a.group()[1:-1])
elif mo1b: mvals = int(mo1b.group()[:-1])
elif mo1c: mvals = int(mo1c.group()[1:-1])
elif mo1d: mvals = int(mo1d.group()[:-1])
if mvals:
mval = mvals % 100
dval = (mvals - mval)/100
mvals = [ dval,mval ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'[0-9][0-9].')
trk1b = re.compile(r'[0-9][0-9]_')
mo1a = trk1a.search(trackname)
mo1b = trk1b.search(trackname)
if mo1a: mvals = [ 0,mo1a.group()[:-1] ]
if mo1b: mvals = [ 0,mo1b.group()[:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trkvals = trackname.split()
if len(trkvals) > 0:
try:
trkno = int(trkvals[0])
mvals = [ 0, trkno ]
except:
mvals = None
if mvals:
return mvals
try:
trkno = int(trackname[:2])
except:
trkno = None
if trkno:
mvals = None
try:
int(trackname[:3])
except:
mvals = [ 0, trkno ]
if mvals:
return mvals
trk1a = re.compile(r'd[1-9][0-9][0-9]')
mo1a = trk1a.search(trackname)
if mo1a:
mval = mo1a.group()[1:]
mvals = [ mval[:1], mval[1:] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'[1-9][0-9][0-9]')
mo1a = trk1a.search(trackname)
if mo1a:
mval = mo1a.group()
mvals = [ mval[:1], mval[1:] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
trk1a = re.compile(r'[0-9][0-9] ')
trk1b = re.compile(r'[0-9][0-9].')
mo1a = trk1a.search(trackname)
mo1b = trk1a.search(trackname)
if mo1a: mvals = [ 0,mo1a.group()[:-1] ]
if mo1b: mvals = [ 0,mo1b.group()[:-1] ]
if mvals:
mvals = [int(x) for x in mvals]
return mvals
return [None,None]
| 29.870781 | 89 | 0.472689 | 3,654 | 30,976 | 4.001916 | 0.027641 | 0.031184 | 0.029132 | 0.031184 | 0.929495 | 0.923613 | 0.918143 | 0.907338 | 0.89749 | 0.873692 | 0 | 0.054852 | 0.234892 | 30,976 | 1,036 | 90 | 29.899614 | 0.562152 | 0.014431 | 0 | 0.726208 | 0 | 0.001464 | 0.082441 | 0.013285 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.001464 | null | null | 0.004392 | 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 |
d0f9e0968c00e9c9a56915b40489188c6b192d39 | 230,887 | py | Python | src/manager/om/script/gspylib/common/Sql.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | 1 | 2020-06-30T15:00:50.000Z | 2020-06-30T15:00:50.000Z | src/manager/om/script/gspylib/common/Sql.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | null | null | null | src/manager/om/script/gspylib/common/Sql.py | wotchin/openGauss-server | ebd92e92b0cfd76b121d98e4c57a22d334573159 | [
"MulanPSL-1.0"
] | null | null | null | # -*- coding:utf-8 -*-
#############################################################################
# Copyright (c) 2020 Huawei Technologies Co.,Ltd.
#
# openGauss is licensed under Mulan PSL v2.
# You can use this software according to the terms
# and conditions of the Mulan PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
#
# http://license.coscl.org.cn/MulanPSL2
#
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS,
# WITHOUT WARRANTIES OF ANY KIND,
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
# See the Mulan PSL v2 for more details.
# ----------------------------------------------------------------------------
# Description : Sql.py is used to store the sql used in OLAP
#############################################################################
PMK_ORIGINAL = ["""START TRANSACTION;""", """CREATE SCHEMA pmk;""",
"""CREATE TABLE pmk.pmk_configuration
(
config_param_name varchar(64) NOT NULL
, config_value text NOT NULL
, PRIMARY KEY (config_param_name)
);""", """CREATE TABLE pmk.pmk_snapshot
(
snapshot_id int
-- Snapshot ID (Running number)
, current_snapshot_time timestamp with time zone
-- Time at the beginning of the snapshot
, last_snapshot_time timestamp with time zone
-- Time at the end of the snapshot; the actual time the snapshot was taken
, creation_time timestamp with time zone
-- Time the snapshot was created
, PRIMARY KEY (snapshot_id)
);""",
"""CREATE INDEX ix_pmk_snapshot_time ON pmk.pmk_snapshot
(current_snapshot_time DESC);""",
"""CREATE TABLE pmk.pmk_snapshot_datanode_stat
(
snapshot_id int
-- Snapshot Id
, node_name text
-- node name from pgxc_node
, node_host text
-- node host from pgxc_node
, last_startup_time timestamp with time zone
-- last restart time of the node before snapshot starts
, number_of_files int
, physical_reads bigint
, physical_reads_delta bigint
, physical_writes bigint
, physical_writes_delta bigint
, read_time bigint
, read_time_delta bigint
, write_time bigint
, write_time_delta bigint
, db_size bigint
, active_sql_count int
, wait_sql_count int
, session_count int
, xact_commit bigint
, xact_commit_delta bigint
, xact_rollback bigint
, xact_rollback_delta bigint
, checkpoints_timed bigint
, checkpoints_timed_delta bigint
, checkpoints_req bigint
, checkpoints_req_delta bigint
, checkpoint_write_time double precision
, checkpoint_write_time_delta double precision
, physical_memory bigint
, db_memory_usage bigint
, shared_buffer_size bigint
, session_memory_total_size bigint
, session_memory_used_size bigint
, blocks_read bigint
, blocks_read_delta bigint
, blocks_hit bigint
, blocks_hit_delta bigint
, work_memory_size bigint
, sorts_in_memory bigint
, sorts_in_memory_delta bigint
, sorts_in_disk bigint
, sorts_in_disk_delta bigint
, busy_time numeric
, busy_time_delta numeric
, idle_time numeric
, idle_time_delta numeric
, iowait_time numeric
, iowait_time_delta numeric
, db_cpu_time numeric
, db_cpu_time_delta numeric
, PRIMARY KEY (snapshot_id)
);""",
"""CREATE INDEX ix_pmk_snapshot_dnode_stat_node_name ON
pmk.pmk_snapshot_datanode_stat (UPPER(node_name), snapshot_id);""",
"""CREATE TABLE pmk.pmk_meta_data
(
pmk_version varchar(128)
, last_snapshot_id int
, last_snapshot_collect_time timestamp with time zone
, PRIMARY KEY (pmk_version)
);""", """CREATE OR REPLACE FUNCTION pmk.put_line
(IN message text
)
RETURNS boolean
AS
$$
DECLARE l_error_message TEXT;
BEGIN
l_error_message := TRIM(message);
IF l_error_message IS NOT NULL
THEN
raise notice '%',l_error_message;
RETURN TRUE;
END IF;
RETURN FALSE;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.check_node_type
RETURNS TEXT
AS
$$
DECLARE l_node_type CHAR(1);
BEGIN
l_node_type := 'D';
RETURN NULL;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.check_pmk_enabled
RETURNS TEXT
AS
$$
DECLARE l_pmk_enabled_i TEXT;
BEGIN
SELECT UPPER(config_value)
INTO l_pmk_enabled_i
FROM pmk.pmk_configuration
WHERE config_param_name = 'Enable PMK';
IF l_pmk_enabled_i = 'FALSE'
THEN
RETURN 'ERROR:: PMK should be enabled to use the PMK features.';
ELSE
RETURN NULL;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.pmk_version ( )
RETURNS varchar(128)
AS
$$
DECLARE l_pmk_version varchar(128);
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN 'f';
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN 'f';
END IF;
SELECT pmk_version
INTO l_pmk_version
FROM pmk.pmk_meta_data;
RETURN l_pmk_version;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.configure_parameter
( IN i_config_param_name varchar(64)
, IN i_config_value text
)
RETURNS boolean
AS
$$
DECLARE l_collect_count_value INT;
l_config_value TEXT;
l_upper_config_param TEXT;
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
l_upper_config_param := UPPER(TRIM(BOTH ' ' FROM i_config_param_name));
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
AND l_upper_config_param <> 'ENABLE PMK'
THEN
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF i_config_param_name IS NULL
THEN
l_error_message := 'ERROR:: Null should not be provided for
configuration parameter name.';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF i_config_value IS NULL
THEN
l_error_message := 'ERROR:: Null should not be provided for
configuration value.';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF l_upper_config_param = 'COLLECTION COUNT'
THEN
l_collect_count_value := i_config_value::int;
IF l_collect_count_value < -1
THEN
l_error_message := 'ERROR:: Configuration value "'
|| i_config_value || '" should not be less than -1.';
pmk.put_line(l_error_message);
RETURN FALSE;
ELSIF l_collect_count_value = 0
THEN
l_error_message := 'ERROR:: 0 should not be provided since
atleast one collection should be retained.';
pmk.put_line(l_error_message);
RETURN FALSE;
ELSE
l_config_value := l_collect_count_value;
END IF;
ELSIF l_upper_config_param = 'ENABLE PMK'
THEN
l_config_value := UPPER(TRIM(BOTH ' ' FROM i_config_value));
IF l_config_value NOT IN ('TRUE', 'FALSE')
THEN
l_error_message := 'ERROR:: Allowed values are TRUE or FALSE for
the configuration parameter "Enable PMK".';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
END IF;
SET allow_concurrent_tuple_update = ON;
UPDATE pmk.pmk_configuration
SET config_value = l_config_value
WHERE UPPER(config_param_name) = l_upper_config_param;
IF NOT FOUND THEN
l_error_message := 'ERROR:: Invalid configuration parameter "'
|| i_config_param_name ||
'" provided for configuring PMK parameter ...';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
RETURN TRUE;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_configuration_parameter
( IN i_config_param_name TEXT )
RETURNS TABLE
(
config_param_name varchar(64)
, config_value text
)
AS
$$
DECLARE l_upper_config_param TEXT;
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_upper_config_param := UPPER(TRIM(BOTH ' ' FROM i_config_param_name));
IF l_upper_config_param = 'ALL'
THEN
RETURN QUERY
SELECT config_param_name
, config_value
FROM pmk.pmk_configuration
ORDER BY config_param_name;
ELSE
RETURN QUERY
SELECT config_param_name
, config_value
FROM pmk.pmk_configuration
WHERE UPPER(config_param_name) = l_upper_config_param;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.find_perf_stat
( IN i_skip_supper_role boolean
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_physical_memory bigint
, OUT o_shared_buffer_size bigint
, OUT o_session_memory_total_size bigint
, OUT o_session_memory_used_size bigint
, OUT o_blocks_read bigint
, OUT o_blocks_hit bigint
, OUT o_db_size bigint
, OUT o_work_memory_size bigint
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_active_sql_count int
, OUT o_wait_sql_count int
, OUT o_session_count int
, OUT o_busy_time numeric
, OUT o_idle_time numeric
, OUT o_iowait_time numeric
, OUT o_db_cpu_time numeric
, OUT o_db_memory_usage bigint
, OUT o_node_startup_time timestamp with time zone
, OUT o_node_host_name text
, OUT o_xact_commit bigint
, OUT o_xact_rollback bigint
, OUT o_checkpoints_timed bigint
, OUT o_checkpoints_req bigint
, OUT o_checkpoint_write_time double precision
)
AS
$$
DECLARE
l_block_size int;
l_record_chk int;
BEGIN
o_node_startup_time := pg_postmaster_start_time();
o_node_host_name := get_hostname();
SELECT COUNT(*) AS number_of_files
, SUM(phyrds) AS physical_reads
, SUM(phywrts) AS physical_writes
, SUM(readtim) AS read_time
, SUM(writetim) AS write_time
INTO o_number_of_files
, o_physical_reads
, o_physical_writes
, o_read_time
, o_write_time
FROM gs_file_stat;
IF o_number_of_files = 0
THEN
o_physical_reads := 0;
o_physical_writes := 0;
o_read_time := 0;
o_write_time := 0;
END IF;
WITH os_stat AS
(
SELECT os.name AS statname
, os.value AS statvalue
FROM gs_os_run_info os
WHERE os.name IN ( 'PHYSICAL_MEMORY_BYTES', 'BUSY_TIME',
'IDLE_TIME', 'IOWAIT_TIME' )
)
SELECT (SELECT statvalue FROM os_stat WHERE statname =
'PHYSICAL_MEMORY_BYTES')
, (SELECT statvalue FROM os_stat WHERE statname = 'BUSY_TIME')
, (SELECT statvalue FROM os_stat WHERE statname = 'IDLE_TIME')
, (SELECT statvalue FROM os_stat WHERE statname = 'IOWAIT_TIME')
INTO o_physical_memory
, o_busy_time
, o_idle_time
, o_iowait_time
FROM DUAL;
-- gs_db_time is not available; temporarily PMK extension is used.
o_db_cpu_time := total_cpu();
o_db_memory_usage := total_memory()*1024;
WITH config_value AS
( SELECT name
, setting::bigint AS config_value
FROM pg_settings
WHERE name IN ( 'block_size', 'shared_buffers', 'work_mem' )
)
, config_value1 AS
( SELECT (SELECT config_value FROM config_value WHERE name =
'block_size') AS block_size
, (SELECT config_value FROM config_value WHERE name =
'shared_buffers') AS shared_buffers
, (SELECT config_value FROM config_value WHERE name =
'work_mem') AS work_mem
FROM DUAL
)
SELECT block_size
, (shared_buffers * block_size)::bigint
, (work_mem * 1024)::bigint
INTO l_block_size
, o_shared_buffer_size
, o_work_memory_size
FROM config_value1;
/* Commented since these statistics are not used for node and
* cluster reports
*/
o_session_memory_total_size := 0;
o_session_memory_used_size := 0;
SELECT SUM(blks_read)::bigint
, SUM(blks_hit)::bigint
, SUM(xact_commit)::bigint
, SUM(xact_rollback)::bigint
INTO o_blocks_read
, o_blocks_hit
, o_xact_commit
, o_xact_rollback
FROM pg_stat_database;
o_db_size := 0;
IF i_skip_supper_role = 'TRUE'
THEN
WITH session_state AS
( SELECT state, waiting , usename
FROM pg_stat_activity a, pg_roles r
WHERE r.rolsuper = 'f' AND a.usename = r.rolname
)
, active_session AS
( SELECT state, waiting , usename
FROM session_state s, pg_roles r
WHERE s.state IN ('active', 'fastpath function call', 'retrying')
AND r.rolsuper = 'f' AND s.usename = r.rolname
)
SELECT ( SELECT COUNT(*) FROM active_session )
, ( SELECT COUNT(*) FROM active_session WHERE waiting = TRUE )
, ( SELECT COUNT(*) FROM session_state )
INTO o_active_sql_count, o_wait_sql_count , o_session_count
FROM DUAL;
ELSE
WITH session_state AS
( SELECT state, waiting
FROM pg_stat_activity
)
, active_session AS
( SELECT state, waiting
FROM session_state
WHERE state IN ('active', 'fastpath function call', 'retrying')
)
SELECT ( SELECT COUNT(*) FROM active_session )
, ( SELECT COUNT(*) FROM active_session WHERE waiting = TRUE )
, ( SELECT COUNT(*) FROM session_state )
INTO o_active_sql_count, o_wait_sql_count, o_session_count
FROM DUAL;
END IF;
-- Currently, the below statistics are calculated from gs_session_stat
-- (which is not accurate) since gs_db_stat is not available
WITH sort_state AS
( SELECT statname
, SUM(value)::bigint AS sorts_cnt
FROM gs_session_stat
WHERE statname IN ('n_sort_in_memory', 'n_sort_in_disk')
GROUP BY statname
)
SELECT (SELECT sorts_cnt FROM sort_state WHERE statname =
'n_sort_in_memory')
, (SELECT sorts_cnt FROM sort_state WHERE statname =
'n_sort_in_disk')
INTO o_sorts_in_memory
, o_sorts_in_disk
FROM DUAL;
SELECT SUM(checkpoints_timed)::bigint
, SUM(checkpoints_req)::bigint
, SUM(checkpoint_write_time)::bigint
INTO o_checkpoints_timed
, o_checkpoints_req
, o_checkpoint_write_time
FROM pg_stat_bgwriter;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.find_node_stat
(IN i_skip_supper_role boolean
, OUT o_number_of_files_1 int
, OUT o_physical_reads_1 bigint
, OUT o_physical_writes_1 bigint
, OUT o_read_time_1 bigint
, OUT o_write_time_1 bigint
, OUT o_physical_memory_1 bigint
, OUT o_shared_buffer_size_1 bigint
, OUT o_session_memory_total_size_1 bigint
, OUT o_session_memory_used_size_1 bigint
, OUT o_blocks_read_1 bigint
, OUT o_blocks_hit_1 bigint
, OUT o_db_size_1 bigint
, OUT o_work_memory_size_1 bigint
, OUT o_sorts_in_memory_1 bigint
, OUT o_sorts_in_disk_1 bigint
, OUT o_active_sql_count_1 int
, OUT o_wait_sql_count_1 int
, OUT o_session_count_1 int
, OUT o_busy_time_1 numeric
, OUT o_idle_time_1 numeric
, OUT o_iowait_time_1 numeric
, OUT o_db_cpu_time_1 numeric
, OUT o_db_memory_usage_1 bigint
, OUT o_node_startup_time_1 timestamp with time zone
, OUT o_node_host_name_1 text
, OUT o_xact_commit_1 bigint
, OUT o_xact_rollback_1 bigint
, OUT o_checkpoints_timed_1 bigint
, OUT o_checkpoints_req_1 bigint
, OUT o_checkpoint_write_time_1 double precision
)
AS
$$
BEGIN
SELECT o_number_of_files
, o_physical_reads
, o_physical_writes
, o_read_time
, o_write_time
, o_physical_memory
, o_shared_buffer_size
, o_session_memory_total_size
, o_session_memory_used_size
, o_blocks_read
, o_blocks_hit
, o_db_size
, o_work_memory_size
, o_sorts_in_memory
, o_sorts_in_disk
, o_active_sql_count
, o_wait_sql_count
, o_session_count
, o_busy_time
, o_idle_time
, o_iowait_time
, o_db_cpu_time
, o_db_memory_usage
, o_node_startup_time
, o_node_host_name
, o_xact_commit
, o_xact_rollback
, o_checkpoints_timed
, o_checkpoints_req
, o_checkpoint_write_time
INTO o_number_of_files_1
, o_physical_reads_1
, o_physical_writes_1
, o_read_time_1
, o_write_time_1
, o_physical_memory_1
, o_shared_buffer_size_1
, o_session_memory_total_size_1
, o_session_memory_used_size_1
, o_blocks_read_1
, o_blocks_hit_1
, o_db_size_1
, o_work_memory_size_1
, o_sorts_in_memory_1
, o_sorts_in_disk_1
, o_active_sql_count_1
, o_wait_sql_count_1
, o_session_count_1
, o_busy_time_1
, o_idle_time_1
, o_iowait_time_1
, o_db_cpu_time_1
, o_db_memory_usage_1
, o_node_startup_time_1
, o_node_host_name_1
, o_xact_commit_1
, o_xact_rollback_1
, o_checkpoints_timed_1
, o_checkpoints_req_1
, o_checkpoint_write_time_1
FROM pmk.find_perf_stat(i_skip_supper_role);
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.load_datanode_stat
( IN i_snapshot_id int
, IN i_last_snapshot_id int
, IN i_pmk_last_collect_start_time timestamp with time zone
, IN i_node_name text
, IN i_number_of_files int
, IN i_physical_reads bigint
, IN i_physical_writes bigint
, IN i_read_time bigint
, IN i_write_time bigint
, IN i_physical_memory bigint
, IN i_shared_buffer_size bigint
, IN i_session_memory_total_size bigint
, IN i_session_memory_used_size bigint
, IN i_blocks_read bigint
, IN i_blocks_hit bigint
, IN i_db_size bigint
, IN i_work_memory_size bigint
, IN i_sorts_in_memory bigint
, IN i_sorts_in_disk bigint
, IN i_active_sql_count int
, IN i_wait_sql_count int
, IN i_session_count int
, IN i_busy_time numeric
, IN i_idle_time numeric
, IN i_iowait_time numeric
, IN i_db_cpu_time numeric
, IN i_db_memory_usage bigint
, IN i_node_startup_time timestamp with time zone
, IN i_node_host_name text
, IN i_xact_commit bigint
, IN i_xact_rollback bigint
, IN i_checkpoints_timed bigint
, IN i_checkpoints_req bigint
, IN i_checkpoint_write_time double precision
, IN i_skip_supper_role boolean
, OUT o_dn_snapshot_id int
, OUT o_dn_node_name text
-- node name from pgxc_node
, OUT o_dn_node_host text
-- node host from pgxc_node
, OUT o_dn_last_startup_time timestamp with time zone
-- last restart time of the node before snapshot starts
, OUT o_dn_number_of_files int
, OUT o_dn_physical_reads bigint
, OUT o_dn_physical_reads_delta bigint
, OUT o_dn_physical_writes bigint
, OUT o_dn_physical_writes_delta bigint
, OUT o_dn_read_time bigint
, OUT o_dn_read_time_delta bigint
, OUT o_dn_write_time bigint
, OUT o_dn_write_time_delta bigint
, OUT o_dn_db_size bigint
, OUT o_dn_active_sql_count int
, OUT o_dn_wait_sql_count int
, OUT o_dn_session_count int
, OUT o_dn_xact_commit bigint
, OUT o_dn_xact_commit_delta bigint
, OUT o_dn_xact_rollback bigint
, OUT o_dn_xact_rollback_delta bigint
, OUT o_dn_checkpoints_timed bigint
, OUT o_dn_checkpoints_timed_delta bigint
, OUT o_dn_checkpoints_req bigint
, OUT o_dn_checkpoints_req_delta bigint
, OUT o_dn_checkpoint_write_time double precision
, OUT o_dn_checkpoint_write_time_delta double precision
, OUT o_dn_physical_memory bigint
, OUT o_dn_db_memory_usage bigint
, OUT o_dn_shared_buffer_size bigint
, OUT o_dn_session_memory_total_size bigint
, OUT o_dn_session_memory_used_size bigint
, OUT o_dn_blocks_read bigint
, OUT o_dn_blocks_read_delta bigint
, OUT o_dn_blocks_hit bigint
, OUT o_dn_blocks_hit_delta bigint
, OUT o_dn_work_memory_size bigint
, OUT o_dn_sorts_in_memory bigint
, OUT o_dn_sorts_in_memory_delta bigint
, OUT o_dn_sorts_in_disk bigint
, OUT o_dn_sorts_in_disk_delta bigint
, OUT o_dn_busy_time numeric
, OUT o_dn_busy_time_delta numeric
, OUT o_dn_idle_time numeric
, OUT o_dn_idle_time_delta numeric
, OUT o_dn_iowait_time numeric
, OUT o_dn_iowait_time_delta numeric
, OUT o_dn_db_cpu_time numeric
, OUT o_dn_db_cpu_time_delta numeric
)
AS
$$
DECLARE l_physical_reads_delta bigint;
l_physical_writes_delta bigint;
l_read_time_delta bigint;
l_write_time_delta bigint;
l_blocks_read_delta bigint;
l_blocks_hit_delta bigint;
l_sorts_in_memory_delta bigint;
l_sorts_in_disk_delta bigint;
l_busy_time_delta numeric;
l_idle_time_delta numeric;
l_iowait_time_delta numeric;
l_db_cpu_time_delta numeric;
l_xact_commit_delta bigint;
l_xact_rollback_delta bigint;
l_checkpoints_timed_delta bigint;
l_checkpoints_req_delta bigint;
l_checkpoint_write_time_delta double precision;
i_skip_supper_role_delta boolean;
BEGIN
l_physical_reads_delta := i_physical_reads;
l_physical_writes_delta := i_physical_writes;
l_read_time_delta := i_read_time;
l_write_time_delta := i_write_time;
l_xact_commit_delta := i_xact_commit;
l_xact_rollback_delta := i_xact_rollback;
l_checkpoints_timed_delta := i_checkpoints_timed;
l_checkpoints_req_delta := i_checkpoints_req;
l_checkpoint_write_time_delta := i_checkpoint_write_time;
i_skip_supper_role_delta := i_skip_supper_role;
l_blocks_read_delta := i_blocks_read;
l_blocks_hit_delta := i_blocks_hit;
l_busy_time_delta := i_busy_time;
l_idle_time_delta := i_idle_time;
l_iowait_time_delta := i_iowait_time;
l_db_cpu_time_delta := i_db_cpu_time;
-- Currently, the below statistics are calculated from gs_session_stat
-- (which is not accurate) since gs_db_stat is not available
-- These statistics are cumulative from instance startup.
l_sorts_in_memory_delta := i_sorts_in_memory;
l_sorts_in_disk_delta := i_sorts_in_disk;
o_dn_snapshot_id := i_snapshot_id;
o_dn_node_name := i_node_name;
o_dn_node_host := i_node_host_name;
o_dn_last_startup_time := i_node_startup_time;
o_dn_number_of_files := i_number_of_files;
o_dn_physical_reads := i_physical_reads;
o_dn_physical_reads_delta := l_physical_reads_delta;
o_dn_physical_writes := i_physical_writes;
o_dn_physical_writes_delta := l_physical_writes_delta;
o_dn_read_time := i_read_time;
o_dn_read_time_delta := l_read_time_delta;
o_dn_write_time := i_write_time;
o_dn_write_time_delta := l_write_time_delta;
o_dn_db_size := i_db_size;
o_dn_active_sql_count := i_active_sql_count;
o_dn_wait_sql_count := i_wait_sql_count;
o_dn_session_count := i_session_count;
o_dn_xact_commit := i_xact_commit;
o_dn_xact_commit_delta := l_xact_commit_delta;
o_dn_xact_rollback := i_xact_rollback;
o_dn_xact_rollback_delta := l_xact_rollback_delta;
o_dn_checkpoints_timed := i_checkpoints_timed;
o_dn_checkpoints_timed_delta := l_checkpoints_timed_delta;
o_dn_checkpoints_req := i_checkpoints_req;
o_dn_checkpoints_req_delta := l_checkpoints_req_delta;
o_dn_checkpoint_write_time := i_checkpoint_write_time;
o_dn_checkpoint_write_time_delta := l_checkpoint_write_time_delta;
o_dn_physical_memory := i_physical_memory;
o_dn_db_memory_usage := i_db_memory_usage;
o_dn_shared_buffer_size := i_shared_buffer_size;
o_dn_session_memory_total_size := i_session_memory_total_size;
o_dn_session_memory_used_size := i_session_memory_used_size;
o_dn_blocks_read := i_blocks_read;
o_dn_blocks_read_delta := l_blocks_read_delta;
o_dn_blocks_hit := i_blocks_hit;
o_dn_blocks_hit_delta := l_blocks_hit_delta;
o_dn_work_memory_size := i_work_memory_size;
o_dn_sorts_in_memory := i_sorts_in_memory;
o_dn_sorts_in_memory_delta := l_sorts_in_memory_delta;
o_dn_sorts_in_disk := i_sorts_in_disk;
o_dn_sorts_in_disk_delta := l_sorts_in_disk_delta;
o_dn_busy_time := i_busy_time;
o_dn_busy_time_delta := l_busy_time_delta;
o_dn_idle_time := i_idle_time;
o_dn_idle_time_delta := l_idle_time_delta;
o_dn_iowait_time := i_iowait_time;
o_dn_iowait_time_delta := l_iowait_time_delta;
o_dn_db_cpu_time := i_db_cpu_time;
o_dn_db_cpu_time_delta := l_db_cpu_time_delta;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.load_node_stat
( IN i_pmk_curr_collect_start_time TIMESTAMP WITH TIME ZONE
, IN i_pmk_last_collect_start_time TIMESTAMP WITH TIME ZONE
, IN i_last_snapshot_id INT
, IN i_node_name TEXT
, IN i_node_type char(1)
, IN i_skip_supper_role boolean
)
RETURNS TABLE
(
snapshot_id int
, node_name text
, node_host text
, last_startup_time timestamp with time zone
, number_of_files int
, physical_reads bigint
, physical_reads_delta bigint
, physical_writes bigint
, physical_writes_delta bigint
, read_time bigint
, read_time_delta bigint
, write_time bigint
, write_time_delta bigint
, db_size bigint
, active_sql_count int
, wait_sql_count int
, session_count int
, xact_commit bigint
, xact_commit_delta bigint
, xact_rollback bigint
, xact_rollback_delta bigint
, checkpoints_timed bigint
, checkpoints_timed_delta bigint
, checkpoints_req bigint
, checkpoints_req_delta bigint
, checkpoint_write_time double precision
, checkpoint_write_time_delta double precision
, physical_memory bigint
, db_memory_usage bigint
, shared_buffer_size bigint
, session_memory_total_size bigint
, session_memory_used_size bigint
, blocks_read bigint
, blocks_read_delta bigint
, blocks_hit bigint
, blocks_hit_delta bigint
, work_memory_size bigint
, sorts_in_memory bigint
, sorts_in_memory_delta bigint
, sorts_in_disk bigint
, sorts_in_disk_delta bigint
, busy_time numeric
, busy_time_delta numeric
, idle_time numeric
, idle_time_delta numeric
, iowait_time numeric
, iowait_time_delta numeric
, db_cpu_time numeric
, db_cpu_time_delta numeric
)
AS
$$
DECLARE l_snapshot_id INT;
l_query_str TEXT;
l_node_stat_cur RECORD;
BEGIN
IF i_last_snapshot_id IS NULL
OR i_last_snapshot_id = 2147483647
THEN
l_snapshot_id := 1;
ELSE
l_snapshot_id := i_last_snapshot_id + 1;
END IF;
FOR l_node_stat_cur IN SELECT * FROM pmk.find_node_stat(i_skip_supper_role)
LOOP
RETURN QUERY
(SELECT * FROM pmk.load_datanode_stat ( l_snapshot_id
, i_last_snapshot_id
, i_pmk_last_collect_start_time
, i_node_name
, l_node_stat_cur.o_number_of_files_1
, l_node_stat_cur.o_physical_reads_1
, l_node_stat_cur.o_physical_writes_1
, l_node_stat_cur.o_read_time_1
, l_node_stat_cur.o_write_time_1
, l_node_stat_cur.o_physical_memory_1
, l_node_stat_cur.o_shared_buffer_size_1
, l_node_stat_cur.o_session_memory_total_size_1
, l_node_stat_cur.o_session_memory_used_size_1
, l_node_stat_cur.o_blocks_read_1
, l_node_stat_cur.o_blocks_hit_1
, l_node_stat_cur.o_db_size_1
, l_node_stat_cur.o_work_memory_size_1
, l_node_stat_cur.o_sorts_in_memory_1
, l_node_stat_cur.o_sorts_in_disk_1
, l_node_stat_cur.o_active_sql_count_1
, l_node_stat_cur.o_wait_sql_count_1
, l_node_stat_cur.o_session_count_1
, l_node_stat_cur.o_busy_time_1
, l_node_stat_cur.o_idle_time_1
, l_node_stat_cur.o_iowait_time_1
, l_node_stat_cur.o_db_cpu_time_1
, l_node_stat_cur.o_db_memory_usage_1
, l_node_stat_cur.o_node_startup_time_1
, l_node_stat_cur.o_node_host_name_1
, l_node_stat_cur.o_xact_commit_1
, l_node_stat_cur.o_xact_rollback_1
, l_node_stat_cur.o_checkpoints_timed_1
, l_node_stat_cur.o_checkpoints_req_1
, l_node_stat_cur.o_checkpoint_write_time_1
, i_skip_supper_role
));
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.delete_expired_snapshots ( )
RETURNS void
AS
$$
DECLARE l_collection_count INT;
l_retention_snapshot_id INT;
BEGIN
-- Deleting node statistics based on "collection count" config param
SELECT config_value
INTO l_collection_count
FROM pmk.pmk_configuration
WHERE config_param_name = 'Collection Count';
IF l_collection_count > -1
THEN
IF l_collection_count = 0
THEN
l_collection_count := 1;
END IF;
SELECT MIN(snapshot_id)
INTO l_retention_snapshot_id
FROM ( SELECT snapshot_id
FROM pmk.pmk_snapshot
ORDER BY snapshot_id DESC
LIMIT l_collection_count );
DELETE FROM pmk.pmk_snapshot_datanode_stat
WHERE snapshot_id < l_retention_snapshot_id;
DELETE FROM pmk.pmk_snapshot
WHERE snapshot_id < l_retention_snapshot_id;
END IF;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_meta_data
( OUT l_pmk_curr_collect_start_time timestamp with time zone
, OUT l_pmk_last_collect_start_time timestamp with time zone
, OUT l_last_snapshot_id int
)
AS
$$
DECLARE l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
SELECT last_snapshot_id, last_snapshot_collect_time
INTO l_last_snapshot_id, l_pmk_last_collect_start_time
FROM pmk.pmk_meta_data;
l_pmk_curr_collect_start_time := date_trunc('second', current_timestamp);
IF l_pmk_curr_collect_start_time < l_pmk_last_collect_start_time
THEN
l_error_message := 'ERROR:: There is a change in system time of Gauss
MPPDB host. PMK does not support the scenarios related to system time
change.';
pmk.put_line(l_error_message);
RETURN;
ELSIF l_pmk_curr_collect_start_time = l_pmk_last_collect_start_time
THEN
l_error_message := 'ERROR:: Multiple statistics-collections can not
be done within a second.';
pmk.put_line(l_error_message);
RETURN;
END IF;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_pgxc_node
( OUT o_node_name TEXT
, OUT o_node_type CHAR(1)
)
RETURNS SETOF RECORD
AS
$$
DECLARE l_error_message TEXT;
v_rec RECORD;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
FOR v_rec IN (SELECT node_name FROM DBE_PERF.node_name) LOOP
o_node_name := v_rec.node_name;
o_node_type := 'D';
RETURN NEXT;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.check_start_end_dates
( INOUT io_start_pmk_time timestamp with time zone
, INOUT io_end_pmk_time timestamp with time zone
, OUT o_error_message text
)
AS
$$
DECLARE l_last_collect_time timestamp with time zone;
BEGIN
SELECT last_snapshot_collect_time
INTO l_last_collect_time
FROM pmk.pmk_meta_data;
IF io_start_pmk_time > l_last_collect_time
THEN
o_error_message := 'ERROR:: The from-time provided is greater than the
last statistics-collection time(' || l_last_collect_time || ').
Invalid value(s) provided for the input time-range';
RETURN;
END IF;
IF io_end_pmk_time IS NULL
THEN
io_end_pmk_time := l_last_collect_time;
IF io_start_pmk_time IS NULL
THEN
io_start_pmk_time := io_end_pmk_time;
END IF;
ELSE
IF (io_start_pmk_time IS NULL) OR
(io_start_pmk_time > io_end_pmk_time)
THEN
o_error_message := 'ERROR:: Invalid value(s) provided for
the input time-range';
RETURN;
END IF;
END IF;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_host_cpu_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_avg_cpu_total_time numeric(21, 3)
, OUT o_avg_cpu_busy_time numeric(21, 3)
, OUT o_avg_cpu_iowait_time numeric(21, 3)
, OUT o_cpu_busy_perc numeric(5, 2)
, OUT o_cpu_io_wait_perc numeric(5, 2)
, OUT o_min_cpu_busy_perc numeric(5, 2)
, OUT o_max_cpu_busy_perc numeric(5, 2)
, OUT o_min_cpu_iowait_perc numeric(5, 2)
, OUT o_max_cpu_iowait_perc numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time,
l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster host CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, os_cpu_stat AS
( SELECT s.pmk_curr_collect_start_time
, node_host
, node_name
, (busy_time_delta * 10) AS cpu_busy_time
, (idle_time_delta * 10) AS cpu_idle_time
, (iowait_time_delta * 10) AS cpu_iowait_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
, os_cpu_stat1 AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_host
, cpu_busy_time
, cpu_idle_time
, cpu_iowait_time
, (cpu_busy_time+cpu_idle_time+cpu_iowait_time)::numeric AS
cpu_total_time
FROM ( SELECT pmk_curr_collect_start_time
, node_host
, cpu_busy_time
, cpu_idle_time
, cpu_iowait_time
, rank() OVER (PARTITION BY pmk_curr_collect_start_time,
node_host ORDER BY cpu_busy_time DESC, node_name)
AS node_cpu_busy_order
FROM os_cpu_stat
)
WHERE node_cpu_busy_order = 1
)
SELECT hcs.stat_collect_time
, AVG(hcs.cpu_total_time)::numeric(21, 3) AS avg_cpu_total_time
, AVG(hcs.cpu_busy_time)::numeric(21, 3) AS avg_cpu_busy_time
, AVG(hcs.cpu_iowait_time)::numeric(21, 3) AS avg_cpu_iowait_time
, ( (SUM(cpu_busy_time) * 100.0) / NULLIF(SUM(cpu_total_time), 0) )
::numeric(5, 2) AS cpu_busy_perc
, ( (SUM(cpu_iowait_time) * 100.0) / NULLIF(SUM(cpu_total_time), 0) )
::numeric(5, 2) AS cpu_io_wait_perc
, MIN(hcs.cpu_busy_time_perc)::numeric(5, 2) AS min_cpu_busy_perc
, MAX(hcs.cpu_busy_time_perc)::numeric(5, 2) AS max_cpu_busy_perc
, MIN(hcs.cpu_iowait_time_perc)::numeric(5, 2) AS min_cpu_iowait_perc
, MAX(hcs.cpu_iowait_time_perc)::numeric(5, 2) AS max_cpu_iowait_perc
FROM ( SELECT node_host
, stat_collect_time
, cpu_total_time
, cpu_busy_time
, cpu_iowait_time
, ( (cpu_busy_time * 100.0) / NULLIF(cpu_total_time, 0) )
::numeric(5, 2) AS cpu_busy_time_perc
, ( (cpu_iowait_time * 100.0) / NULLIF(cpu_total_time, 0) )
::numeric(5, 2) AS cpu_iowait_time_perc
FROM os_cpu_stat1 ) hcs
GROUP BY hcs.stat_collect_time
ORDER BY hcs.stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_mppdb_cpu_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_avg_mppdb_cpu_time numeric(21, 3)
, OUT o_avg_host_cpu_busy_time numeric(21, 3)
, OUT o_avg_host_cpu_total_time numeric(21, 3)
, OUT o_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
, OUT o_min_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_max_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_min_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
, OUT o_max_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster MPPDB CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, cpu_stat AS
( SELECT s.snapshot_id
, s.pmk_curr_collect_start_time
, dns.node_name
, dns.node_host
, (dns.busy_time_delta * 10) AS host_cpu_busy_time
, (dns.idle_time_delta * 10) AS host_cpu_idle_time
, (dns.iowait_time_delta * 10) AS host_cpu_iowait_time
, (dns.db_cpu_time_delta * 10) AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
, host_cpu_stat AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_host
, host_cpu_busy_time
, host_cpu_idle_time
, host_cpu_iowait_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::numeric AS host_cpu_total_time
FROM ( SELECT pmk_curr_collect_start_time
, node_host
, host_cpu_busy_time
, host_cpu_idle_time
, host_cpu_iowait_time
, rank() OVER (PARTITION BY snapshot_id, node_host
ORDER BY host_cpu_busy_time DESC,
node_name) AS node_cpu_busy_order
FROM cpu_stat
)
WHERE node_cpu_busy_order = 1
)
, host_cpu_stat_summary AS
( SELECT stat_collect_time
, AVG(host_cpu_busy_time)::numeric(21, 3)
AS avg_host_cpu_busy_time
, AVG(host_cpu_total_time)::numeric(21, 3)
AS avg_host_cpu_total_time
, SUM(host_cpu_busy_time)::numeric(21, 3)
AS tot_host_cpu_busy_time
, SUM(host_cpu_total_time)::numeric(21, 3)
AS tot_host_cpu_total_time
FROM host_cpu_stat
GROUP BY stat_collect_time
)
, mppdb_cpu_stat0 AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_name
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::numeric AS host_cpu_total_time
FROM cpu_stat
)
, mppdb_cpu_stat AS
( SELECT stat_collect_time
, node_name
, mppdb_cpu_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_busy_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_busy_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_total_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat0
)
, mppdb_cpu_stat_summary AS
( SELECT stat_collect_time
, AVG(mppdb_cpu_time)::numeric(21, 3) AS avg_mppdb_cpu_time
, SUM(mppdb_cpu_time)::numeric(21, 3) AS tot_mppdb_cpu_time
, MIN(mppdb_cpu_time_perc_wrt_busy_time)::numeric(5, 2)
AS min_mppdb_cpu_time_perc_wrt_busy_time
, MAX(mppdb_cpu_time_perc_wrt_busy_time)::numeric(5, 2)
AS max_mppdb_cpu_time_perc_wrt_busy_time
, MIN(mppdb_cpu_time_perc_wrt_total_time)::numeric(5, 2)
AS min_mppdb_cpu_time_perc_wrt_total_time
, MAX(mppdb_cpu_time_perc_wrt_total_time)::numeric(5, 2)
AS max_mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat
GROUP BY stat_collect_time
)
SELECT mcs.stat_collect_time
, mcs.avg_mppdb_cpu_time
, hcs.avg_host_cpu_busy_time
, hcs.avg_host_cpu_total_time
, CASE WHEN mcs.tot_mppdb_cpu_time < hcs.tot_host_cpu_busy_time
THEN ( (mcs.tot_mppdb_cpu_time * 100.0)
/ NULLIF(hcs.tot_host_cpu_busy_time, 0) )::numeric(5, 2)
ELSE 100.00
END AS mppdb_cpu_time_perc_wrt_busy_time
, CASE WHEN mcs.tot_mppdb_cpu_time < hcs.tot_host_cpu_total_time
THEN ( (mcs.tot_mppdb_cpu_time * 100.0)
/ NULLIF(hcs.tot_host_cpu_total_time, 0) )::numeric(5, 2)
ELSE 100.00
END AS mppdb_cpu_time_perc_wrt_total_time
, mcs.min_mppdb_cpu_time_perc_wrt_busy_time
, mcs.max_mppdb_cpu_time_perc_wrt_busy_time
, mcs.min_mppdb_cpu_time_perc_wrt_total_time
, mcs.max_mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat_summary mcs
, host_cpu_stat_summary hcs
WHERE mcs.stat_collect_time = hcs.stat_collect_time
ORDER BY mcs.stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_shared_buffer_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_min_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_max_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_total_blocks_read bigint
, OUT o_total_blocks_hit bigint
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster shared buffer statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, ( (total_blocks_hit * 100.0)
/ NULLIF(total_blocks_read+total_blocks_hit, 0) )::numeric(5, 2)
AS shared_buffer_hit_ratio
, min_shared_buffer_hit_ratio
, max_shared_buffer_hit_ratio
, total_blocks_read
, total_blocks_hit
FROM ( SELECT pmk_curr_collect_start_time
, SUM(blocks_read)::bigint AS total_blocks_read
, SUM(blocks_hit)::bigint AS total_blocks_hit
, MIN(shared_buffer_hit_ratio)::numeric(5, 2)
AS min_shared_buffer_hit_ratio
, MAX(shared_buffer_hit_ratio)::numeric(5, 2)
AS max_shared_buffer_hit_ratio
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, ( (blocks_hit_delta * 100.0)
/ NULLIF((blocks_read_delta + blocks_hit_delta), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_memory_sort_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_memory_sort_ratio numeric(5, 2)
, OUT o_min_memory_sort_ratio numeric(5, 2)
, OUT o_max_memory_sort_ratio numeric(5, 2)
, OUT o_total_memory_sorts bigint
, OUT o_total_disk_sorts bigint
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster memory sort statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, ( (total_memory_sorts * 100.0)
/ NULLIF(total_disk_sorts+total_memory_sorts, 0) )
::numeric(5, 2) AS memory_sort_ratio
, min_memory_sort_ratio
, max_memory_sort_ratio
, total_memory_sorts
, total_disk_sorts
FROM ( SELECT pmk_curr_collect_start_time
, SUM(memory_sorts)::bigint AS total_memory_sorts
, SUM(disk_sorts)::bigint AS total_disk_sorts
, MIN(memory_sort_ratio)::numeric(5, 2) AS min_memory_sort_ratio
, MAX(memory_sort_ratio)::numeric(5, 2) AS max_memory_sort_ratio
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, sorts_in_memory_delta AS memory_sorts
, sorts_in_disk_delta AS disk_sorts
, ( (sorts_in_memory_delta * 100.0)
/ NULLIF((sorts_in_disk_delta + sorts_in_memory_delta)
, 0) )::numeric(5, 2) AS memory_sort_ratio
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_io_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_avg_read_per_sec numeric(20,2)
, OUT o_avg_read_time numeric(20,3)
, OUT o_avg_write_per_sec numeric(20,2)
, OUT o_avg_write_time numeric(20,3)
, OUT o_min_node_read_per_sec numeric(20,2)
, OUT o_max_node_read_per_sec numeric(20,2)
, OUT o_min_node_read_time numeric(20,3)
, OUT o_max_node_read_time numeric(20,3)
, OUT o_min_node_write_per_sec numeric(20,2)
, OUT o_max_node_write_per_sec numeric(20,2)
, OUT o_min_node_write_time numeric(20,3)
, OUT o_max_node_write_time numeric(20,3)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0 / NULLIF(read_time, 0) )
::numeric(20,2) AS avg_read_per_sec
, ( read_time * 1.0 / NULLIF(physical_reads, 0) )
::numeric(20,3) AS avg_read_time
, ( physical_writes * 1000000.0 / NULLIF(write_time, 0) )
::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0 / NULLIF(physical_writes, 0) )
::numeric(20,3) AS avg_write_time
, min_node_read_per_sec
, max_node_read_per_sec
, min_node_read_time
, max_node_read_time
, min_node_write_per_sec
, max_node_write_per_sec
, min_node_write_time
, max_node_write_time
FROM ( SELECT pmk_curr_collect_start_time
, SUM(number_of_files)::int AS number_of_files
, SUM(physical_reads_delta)::bigint AS physical_reads
, SUM(physical_writes_delta)::bigint AS physical_writes
, SUM(read_time_delta)::bigint AS read_time
, SUM(write_time_delta)::bigint AS write_time
, MIN(node_read_per_sec) AS min_node_read_per_sec
, MAX(node_read_per_sec) AS max_node_read_per_sec
, MIN(node_read_time) AS min_node_read_time
, MAX(node_read_time) AS max_node_read_time
, MIN(node_write_per_sec) AS min_node_write_per_sec
, MAX(node_write_per_sec) AS max_node_write_per_sec
, MIN(node_write_time) AS min_node_write_time
, MAX(node_write_time) AS max_node_write_time
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, number_of_files
, physical_reads_delta
, physical_writes_delta
, read_time_delta
, write_time_delta
, ( physical_reads_delta * 1000000.0
/ NULLIF(read_time_delta, 0) )::numeric(20,2)
AS node_read_per_sec
, ( read_time_delta * 1.0
/ NULLIF(physical_reads_delta, 0) )::numeric(20,3)
AS node_read_time
, ( physical_writes_delta * 1000000.0
/ NULLIF(write_time_delta, 0) )::numeric(20,2)
AS node_write_per_sec
, ( write_time_delta * 1.0
/ NULLIF(physical_writes_delta, 0) )::numeric(20,3)
AS node_write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_disk_usage_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, IN i_db_size text
, OUT o_stat_collect_time timestamp
, OUT o_tot_datanode_db_size text
, OUT o_max_datanode_db_size text
, OUT o_tot_physical_writes bigint
, OUT o_max_node_physical_writes bigint
, OUT o_max_node_write_per_sec numeric(20,2)
, OUT o_avg_write_per_sec numeric(20,2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
DECLARE l_db_size bigint;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of cluster disk usage statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF i_db_size = '0'
THEN
SELECT SUM(pg_database_size(oid))::bigint
INTO l_db_size
FROM pg_database;
ELSE
SELECT SUM(i_db_size)::bigint
INTO l_db_size;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, disk_stat AS
(
SELECT s.pmk_curr_collect_start_time
, db_size
, physical_writes_delta
, write_time_delta
, ( physical_writes_delta * 1000000.0 / NULLIF(write_time_delta, 0) )
::numeric(20,2) AS node_write_per_sec
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, pg_size_pretty(tot_datanode_db_size) AS tot_datanode_db_size
, pg_size_pretty(max_datanode_db_size) AS max_datanode_db_size
, tot_physical_writes
, max_node_physical_writes
, max_node_write_per_sec
, ( tot_physical_writes * 1000000.0 / NULLIF(tot_write_time, 0) )
::numeric(20,2) AS avg_write_per_sec
FROM ( SELECT pmk_curr_collect_start_time
, l_db_size::bigint AS tot_datanode_db_size
, MAX(db_size)::bigint AS max_datanode_db_size
, SUM(physical_writes_delta)::bigint AS tot_physical_writes
, SUM(write_time_delta)::bigint AS tot_write_time
, MAX(physical_writes_delta)::bigint AS max_node_physical_writes
, MAX(node_write_per_sec) AS max_node_write_per_sec
FROM disk_stat
GROUP BY pmk_curr_collect_start_time
)
ORDER BY pmk_curr_collect_start_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_active_sql_count
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_tot_active_sql_count int
, OUT o_avg_active_sql_count numeric(9, 2)
, OUT o_min_active_sql_count int
, OUT o_max_active_sql_count int
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of active SQL count statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, tot_active_sql_count
, avg_active_sql_count
, min_active_sql_count
, max_active_sql_count
FROM ( SELECT s.pmk_curr_collect_start_time
, SUM(active_sql_count)::int AS tot_active_sql_count
, ROUND(AVG(active_sql_count), 2)::numeric(9, 2)
AS avg_active_sql_count
, MIN(active_sql_count)::int AS min_active_sql_count
, MAX(active_sql_count)::int AS max_active_sql_count
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
GROUP BY s.pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_session_count
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_tot_session_count int
, OUT o_avg_session_count numeric(9, 2)
, OUT o_min_session_count int
, OUT o_max_session_count int
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message ||
' during generation of session count statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, tot_session_count
, avg_session_count
, min_session_count
, max_session_count
FROM ( SELECT s.pmk_curr_collect_start_time
, SUM(session_count)::int AS tot_session_count
, ROUND(AVG(session_count), 2)::numeric(9, 2)
AS avg_session_count
, MIN(session_count)::int AS min_session_count
, MAX(session_count)::int AS max_session_count
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
GROUP BY s.pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_cpu_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_mppdb_cpu_time bigint
, OUT o_host_cpu_busy_time bigint
, OUT o_host_cpu_total_time bigint
, OUT o_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("' || i_node_name
|| '") provided during generation of node (MPPDB instance)
CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::bigint AS host_cpu_total_time
, ( (LEAST(mppdb_cpu_time,host_cpu_busy_time) * 100.0)
/ NULLIF(host_cpu_busy_time, 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_busy_time
, ( (LEAST(mppdb_cpu_time,host_total_cpu_time) * 100.0)
/ NULLIF((host_cpu_busy_time + host_cpu_idle_time +
host_cpu_iowait_time), 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_total_time
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, (busy_time_delta * 10)::bigint AS host_cpu_busy_time
, (idle_time_delta * 10)::bigint AS host_cpu_idle_time
, (iowait_time_delta * 10)::bigint AS host_cpu_iowait_time
, ((busy_time_delta+idle_time_delta+iowait_time_delta)*10)
::bigint AS host_total_cpu_time
, (db_cpu_time_delta * 10)::bigint AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::bigint AS host_cpu_total_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_busy_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_busy_time
, ( (mppdb_cpu_time * 100.0) / NULLIF((host_cpu_busy_time
+ host_cpu_idle_time+host_cpu_iowait_time), 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_total_time
FROM ( SELECT node_name
, node_host
, s.pmk_curr_collect_start_time
, (busy_time_delta * 10)::bigint AS host_cpu_busy_time
, (idle_time_delta * 10)::bigint AS host_cpu_idle_time
, (iowait_time_delta * 10)::bigint AS host_cpu_iowait_time
, (db_cpu_time_delta * 10)::bigint AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_memory_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_physical_memory bigint
, OUT o_db_memory_usage bigint
, OUT o_shared_buffer_size bigint
, OUT o_blocks_read bigint
, OUT o_blocks_hit bigint
, OUT o_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_work_memory_size bigint
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_in_memory_sort_ratio numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("' || i_node_name
|| '") provided during generation of node (MPPDB instance) memory
statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) memory statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read
, blocks_hit
, ( (blocks_hit * 100.0) / NULLIF((blocks_read + blocks_hit), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
, work_memory_size
, sorts_in_memory
, sorts_in_disk
, ( (sorts_in_memory * 100.0) / NULLIF((sorts_in_disk + sorts_in_memory)
, 0) )::numeric(5, 2) AS in_memory_sort_ratio
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, work_memory_size
, sorts_in_memory_delta AS sorts_in_memory
, sorts_in_disk_delta AS sorts_in_disk
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read
, blocks_hit
, ( (blocks_hit * 100.0) / NULLIF((blocks_read + blocks_hit), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
, work_memory_size
, sorts_in_memory
, sorts_in_disk
, ( (sorts_in_memory * 100.0) / NULLIF((sorts_in_disk +
sorts_in_memory), 0) )::numeric(5, 2) AS in_memory_sort_ratio
FROM ( SELECT node_name
, node_host
, s.pmk_curr_collect_start_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, work_memory_size
, sorts_in_memory_delta AS sorts_in_memory
, sorts_in_disk_delta AS sorts_in_disk
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_io_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_avg_read_per_sec numeric(20,2)
, OUT o_avg_read_time numeric(20,3)
, OUT o_avg_write_per_sec numeric(20,2)
, OUT o_avg_write_time numeric(20,3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("' || i_node_name
|| '") provided during generation of node (MPPDB instance)
I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0 / NULLIF(read_time, 0) )
::numeric(20,2) AS avg_read_per_sec
, ( read_time * 1.0 / NULLIF(physical_reads, 0) )
::numeric(20,3) AS avg_read_time
, ( physical_writes * 1000000.0 / NULLIF(write_time, 0) )
::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0 / NULLIF(physical_writes, 0) )
::numeric(20,3) AS avg_write_time
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, number_of_files
, physical_reads_delta AS physical_reads
, physical_writes_delta AS physical_writes
, read_time_delta AS read_time
, write_time_delta AS write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0 / NULLIF(read_time, 0) )
::numeric(20,2) AS avg_read_per_sec
, ( read_time * 1.0 / NULLIF(physical_reads, 0) )
::numeric(20,3) AS avg_read_time
, ( physical_writes * 1000000.0 / NULLIF(write_time, 0) )
::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0 / NULLIF(physical_writes, 0) )
::numeric(20,3) AS avg_write_time
FROM ( SELECT node_name
, node_host
, pmk_curr_collect_start_time
, number_of_files
, physical_reads_delta AS physical_reads
, physical_writes_delta AS physical_writes
, read_time_delta AS read_time
, write_time_delta AS write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_cpu_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_session_cpu_time bigint
, OUT o_mppdb_cpu_time bigint
, OUT o_mppdb_cpu_time_perc numeric(5, 2)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF RECORD
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'), UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_time_stat0 AS
( SELECT sessid, stat_name
, (value/1000.0)::numeric AS stat_value
-- converting to millisecond
FROM gs_session_time
WHERE stat_name IN ( ''CPU_TIME'',
''EXECUTION_TIME'')
)
, sess_time_stat AS
( SELECT DISTINCT stso.sessid
, (SELECT stsi.stat_value FROM
sess_time_stat0 stsi WHERE stsi.sessid =
stso.sessid AND stsi.stat_name =
''CPU_TIME'') AS session_cpu_time
, (SELECT stsi.stat_value FROM
sess_time_stat0 stsi WHERE stsi.sessid =
stso.sessid AND stsi.stat_name =
''EXECUTION_TIME'') AS session_sql_time
FROM sess_time_stat0 stso
)
, mppdb_cpu_time AS
( SELECT (total_cpu()*10.0)::bigint AS mppdb_cpu_time
-- converting to millisecond
FROM DUAL
)
, sess_cpu_stat AS
( SELECT ''' || i.node_name || '''
::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'', a.backend_start)::
timestamp AS session_start_time
, date_trunc(''second'', a.xact_start)::
timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, ROUND(st.session_cpu_time)::bigint
AS session_cpu_time
, m.mppdb_cpu_time
, ( (st.session_cpu_time * 100.0)
/ NULLIF(m.mppdb_cpu_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc
, st.sessid
, st.session_sql_time
FROM pg_stat_activity a
, sess_time_stat st
, mppdb_cpu_time m
WHERE a.state IN (''active'',
''fastpath function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.session_cpu_time DESC
, mppdb_cpu_time_perc DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT scs.node_name
, scs.db_name
, scs.user_name
, scs.client_hostname
, scs.session_start_time
, scs.xact_start_time
, scs.waiting
, scs.state
, scs.query
, scs.session_cpu_time
, scs.mppdb_cpu_time
, scs.mppdb_cpu_time_perc
, ( scs.session_sql_time
/ NULLIF(ss.value, 0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_cpu_stat scs
, gs_session_stat ss
WHERE ss.sessid = scs.sessid
AND ss.statname = ''n_sql''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_memory_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_session_total_memory_size bigint
, OUT o_session_used_memory_size bigint
, OUT o_buffer_hits bigint
, OUT o_disk_reads bigint
, OUT o_session_buffer_hit_ratio numeric(5, 2)
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_session_memory_sort_ratio numeric(5, 2)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'),
UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_memory_usage AS
( SELECT sessid
, SUM(totalsize)::bigint AS totalsize
, SUM(usedsize)::bigint AS usedsize
FROM gs_session_memory_detail
GROUP BY sessid
)
, sess_stat0 AS
( SELECT ss.sessid
, ss.statname AS statname
, ss.value AS statvalue
FROM sess_memory_usage st, gs_session_stat ss
WHERE ss.sessid = st.sessid
AND ss.statname IN ( ''n_blocks_fetched''
, ''n_shared_blocks_read''
, ''n_local_blocks_read''
, ''n_sort_in_disk''
, ''n_sort_in_memory''
, ''n_sql'' )
)
, sess_stat1 AS
( SELECT oss.sessid
, oss.totalsize
, oss.usedsize
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_blocks_fetched'') AS total_reads
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_shared_blocks_read'')
AS disk_to_shared_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_local_blocks_read'')
AS disk_to_local_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_sort_in_disk'') AS sorts_in_disk
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_sort_in_memory'') AS sorts_in_memory
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_sql'') AS sql_count
FROM sess_memory_usage oss
)
, sess_stat AS
( SELECT ss.sessid
, ss.totalsize
, ss.usedsize
, ss.total_reads
, (ss.disk_to_shared_buffer +
ss.disk_to_local_buffer) AS disk_reads
, (ss.total_reads-(ss.disk_to_shared_buffer
+ ss.disk_to_local_buffer)) AS buffer_hits
, sorts_in_disk
, sorts_in_memory
, sql_count
FROM sess_stat1 ss
)
, sess_memory_stat AS
( SELECT ''' || i.node_name || '''
::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'', a.backend_start)
::timestamp AS session_start_time
, date_trunc(''second'', a.xact_start)
::timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, st.totalsize AS session_total_memory_size
, st.usedsize AS session_used_memory_size
, st.buffer_hits, st.disk_reads
, ( (st.buffer_hits * 100.0)
/ NULLIF(st.total_reads, 0) )::numeric(5, 2)
AS session_buffer_hit_ratio
, st.sorts_in_memory, st.sorts_in_disk
, ( (st.sorts_in_memory * 100.0)
/ NULLIF(st.sorts_in_memory +
st.sorts_in_disk, 0) )::numeric(5, 2)
AS session_memory_sort_ratio
, st.sessid
, st.sql_count
FROM pg_stat_activity a
, sess_stat st
WHERE a.state IN (''active'',
''fastpath function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.totalsize DESC
, st.usedsize DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT sms.node_name
, sms.db_name
, sms.user_name
, sms.client_hostname
, sms.session_start_time
, sms.xact_start_time
, sms.waiting
, sms.state
, sms.query
, sms.session_total_memory_size
, sms.session_used_memory_size
, sms.buffer_hits
, sms.disk_reads
, sms.session_buffer_hit_ratio
, sms.sorts_in_memory
, sms.sorts_in_disk
, sms.session_memory_sort_ratio
, ( ss.value / (NULLIF(sms.sql_count, 0)
* 1000.0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_memory_stat sms
, gs_session_time ss
WHERE ss.sessid = sms.sessid
AND ss.stat_name = ''EXECUTION_TIME''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_io_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_disk_reads bigint
, OUT o_read_time bigint
, OUT o_avg_read_per_sec numeric(20, 2)
, OUT o_avg_read_time numeric(20, 3)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'),
UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_stat0 AS
( SELECT ss.sessid
, ss.statname AS statname
, ss.value AS statvalue
FROM gs_session_stat ss
WHERE ss.statname IN (
''n_shared_blocks_read''
, ''n_local_blocks_read''
, ''n_blocks_read_time'', ''n_sql'' )
)
, sess_stat1 AS
( SELECT DISTINCT ss.sessid
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = ss.sessid AND
iss.statname = ''n_shared_blocks_read'')
AS disk_to_shared_buffer
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = ss.sessid
AND iss.statname = ''n_local_blocks_read'')
AS disk_to_local_buffer
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = ss.sessid AND
iss.statname = ''n_blocks_read_time'')
AS read_time
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = ss.sessid
AND iss.statname = ''n_sql'') AS sql_count
FROM sess_stat0 ss
)
, sess_stat AS
( SELECT ss.sessid
, (ss.disk_to_shared_buffer +
ss.disk_to_local_buffer) AS disk_reads
, ss.read_time
, ss.sql_count
FROM sess_stat1 ss
)
, sess_io_stat AS
( SELECT ''' || i.node_name || '''
::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'', a.backend_start)
::timestamp AS session_start_time
, date_trunc(''second'', a.xact_start)
::timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, st.disk_reads
, st.read_time
, ( st.disk_reads * 1000000.0
/ NULLIF(st.read_time, 0) )::numeric(20,2)
AS avg_read_per_sec
, ( st.read_time * 1.0
/ NULLIF(st.disk_reads, 0) )
::numeric(20,3) AS avg_read_time
, st.sessid
, st.sql_count
FROM pg_stat_activity a
, sess_stat st
WHERE a.state IN (''active'',
''fastpath function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.disk_reads DESC
, st.read_time DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT sios.node_name
, sios.db_name
, sios.user_name
, sios.client_hostname
, sios.session_start_time
, sios.xact_start_time
, sios.waiting
, sios.state
, sios.query
, sios.disk_reads
, sios.read_time
, sios.avg_read_per_sec
, sios.avg_read_time
, ( ss.value / (NULLIF(sios.sql_count, 0)
* 1000.0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_io_stat sios
, gs_session_time ss
WHERE ss.sessid = sios.sessid
AND ss.stat_name = ''EXECUTION_TIME''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.insertBaseValue()
RETURNS TEXT
AS
$$
DECLARE l_configuration_count_value INT;
l_meta_data_count_value INT;
l_version_string varchar(128);
l_result varchar(128);
BEGIN
SELECT count(config_param_name)
INTO l_configuration_count_value
FROM pmk.pmk_configuration
WHERE config_param_name IN ('Collection Count', 'Enable PMK');
IF l_configuration_count_value != 2
THEN
DELETE FROM pmk.pmk_configuration;
INSERT INTO pmk.pmk_configuration(config_param_name, config_value)
VALUES ('Collection Count', '9'), ('Enable PMK', 'TRUE');
END IF;
SELECT count(pmk_version)
INTO l_meta_data_count_value
FROM pmk.pmk_meta_data;
SELECT substring(version() from '[a-zA-Z0-9 ]* [0-9]+\.[0-9]+\.[0-9]+')
INTO l_version_string;
l_result := l_version_string;
IF l_meta_data_count_value < 1
THEN
INSERT INTO pmk.pmk_meta_data (pmk_version, last_snapshot_id,
last_snapshot_collect_time) VALUES (l_result, NULL, NULL);
END IF;
RETURN NULL;
END;
$$
LANGUAGE plpgsql;""", """
SELECT pmk.insertBaseValue();""", """COMMIT;""", """
analyze pmk.pmk_configuration;""", """
analyze pmk.pmk_snapshot;""", """
analyze pmk.pmk_snapshot_datanode_stat;""", """
analyze pmk.pmk_meta_data;"""]
PMK_NEW = ["""SET default_tablespace = defaulttablespace;""",
"""CREATE SCHEMA pmk;""",
"""CREATE TABLE pmk.pmk_configuration
(
config_param_name varchar(64) NOT NULL
, config_value text NOT NULL
);""", """CREATE TABLE pmk.pmk_snapshot
(
snapshot_id int
-- Snapshot ID (Running number)
, current_snapshot_time timestamp with time zone
-- Time at the beginning of the snapshot
, last_snapshot_time timestamp with time zone
-- Time at the end of the snapshot; the actual time the snapshot was taken
, creation_time timestamp with time zone
-- Time the snapshot was created
);""", """CREATE TABLE pmk.pmk_snapshot_datanode_stat
(
snapshot_id int
-- Snapshot Id
, node_name text
-- node name from pgxc_node
, node_host text
-- node host from pgxc_node
, last_startup_time timestamp with time zone
-- last restart time of the node before snapshot starts
, number_of_files int
, physical_reads bigint
, physical_reads_delta bigint
, physical_writes bigint
, physical_writes_delta bigint
, read_time bigint
, read_time_delta bigint
, write_time bigint
, write_time_delta bigint
, db_size bigint
, active_sql_count int
, wait_sql_count int
, session_count int
, xact_commit bigint
, xact_commit_delta bigint
, xact_rollback bigint
, xact_rollback_delta bigint
, checkpoints_timed bigint
, checkpoints_timed_delta bigint
, checkpoints_req bigint
, checkpoints_req_delta bigint
, checkpoint_write_time double precision
, checkpoint_write_time_delta double precision
, physical_memory bigint
, db_memory_usage bigint
, shared_buffer_size bigint
, session_memory_total_size bigint
, session_memory_used_size bigint
, blocks_read bigint
, blocks_read_delta bigint
, blocks_hit bigint
, blocks_hit_delta bigint
, work_memory_size bigint
, sorts_in_memory bigint
, sorts_in_memory_delta bigint
, sorts_in_disk bigint
, sorts_in_disk_delta bigint
, busy_time numeric
, busy_time_delta numeric
, idle_time numeric
, idle_time_delta numeric
, iowait_time numeric
, iowait_time_delta numeric
, db_cpu_time numeric
, db_cpu_time_delta numeric
);""", """CREATE TABLE pmk.pmk_meta_data
(
pmk_version varchar(128)
, last_snapshot_id int
, last_snapshot_collect_time timestamp with time zone
);""", """CREATE OR REPLACE FUNCTION pmk.put_line
(IN message text
)
RETURNS boolean
AS
$$
DECLARE l_error_message TEXT;
BEGIN
l_error_message := TRIM(message);
IF l_error_message IS NOT NULL
THEN
raise notice '%',l_error_message;
RETURN TRUE;
END IF;
RETURN FALSE;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.check_node_type
RETURNS TEXT
AS
$$
DECLARE l_node_type CHAR(1);
BEGIN
l_node_type := 'D';
RETURN NULL;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.check_pmk_enabled
RETURNS TEXT
AS
$$
DECLARE l_pmk_enabled_i TEXT;
BEGIN
SELECT UPPER(config_value)
INTO l_pmk_enabled_i
FROM pmk.pmk_configuration
WHERE config_param_name = 'Enable PMK';
IF l_pmk_enabled_i = 'FALSE'
THEN
RETURN 'ERROR:: PMK should be enabled to use the PMK features.';
ELSE
RETURN NULL;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.pmk_version ( )
RETURNS varchar(128)
AS
$$
DECLARE l_pmk_version varchar(128);
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN 'f';
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN 'f';
END IF;
SELECT pmk_version
INTO l_pmk_version
FROM pmk.pmk_meta_data;
RETURN l_pmk_version;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.configure_parameter
( IN i_config_param_name varchar(64)
, IN i_config_value text
)
RETURNS boolean
AS
$$
DECLARE l_collect_count_value INT;
l_config_value TEXT;
l_upper_config_param TEXT;
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
l_upper_config_param := UPPER(TRIM(BOTH ' ' FROM i_config_param_name));
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
AND l_upper_config_param <> 'ENABLE PMK'
THEN
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF i_config_param_name IS NULL
THEN
l_error_message := 'ERROR:: Null should not be provided for
configuration parameter name.';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF i_config_value IS NULL
THEN
l_error_message := 'ERROR:: Null should not be provided for configuration value.';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
IF l_upper_config_param = 'COLLECTION COUNT'
THEN
l_collect_count_value := i_config_value::int;
IF l_collect_count_value < -1
THEN
l_error_message := 'ERROR:: Configuration value "' ||
i_config_value || '" should not be less than -1.';
pmk.put_line(l_error_message);
RETURN FALSE;
ELSIF l_collect_count_value = 0
THEN
l_error_message := 'ERROR:: 0 should not be provided since
atleast one collection should be retained.';
pmk.put_line(l_error_message);
RETURN FALSE;
ELSE
l_config_value := l_collect_count_value;
END IF;
ELSIF l_upper_config_param = 'ENABLE PMK'
THEN
l_config_value := UPPER(TRIM(BOTH ' ' FROM i_config_value));
IF l_config_value NOT IN ('TRUE', 'FALSE')
THEN
l_error_message := 'ERROR:: Allowed values are TRUE or FALSE for
the configuration parameter "Enable PMK".';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
END IF;
SET allow_concurrent_tuple_update = ON;
UPDATE pmk.pmk_configuration
SET config_value = l_config_value
WHERE UPPER(config_param_name) = l_upper_config_param;
IF NOT FOUND THEN
l_error_message := 'ERROR:: Invalid configuration parameter "'
|| i_config_param_name || '" provided for configuring PMK parameter ...';
pmk.put_line(l_error_message);
RETURN FALSE;
END IF;
RETURN TRUE;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_configuration_parameter
( IN i_config_param_name TEXT )
RETURNS TABLE
(
config_param_name varchar(64)
, config_value text
)
AS
$$
DECLARE l_upper_config_param TEXT;
l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_upper_config_param := UPPER(TRIM(BOTH ' ' FROM i_config_param_name));
IF l_upper_config_param = 'ALL'
THEN
RETURN QUERY
SELECT config_param_name
, config_value
FROM pmk.pmk_configuration
ORDER BY config_param_name;
ELSE
RETURN QUERY
SELECT config_param_name
, config_value
FROM pmk.pmk_configuration
WHERE UPPER(config_param_name) = l_upper_config_param;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.find_perf_stat
( IN i_skip_supper_role boolean
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_physical_memory bigint
, OUT o_shared_buffer_size bigint
, OUT o_session_memory_total_size bigint
, OUT o_session_memory_used_size bigint
, OUT o_blocks_read bigint
, OUT o_blocks_hit bigint
, OUT o_db_size bigint
, OUT o_work_memory_size bigint
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_active_sql_count int
, OUT o_wait_sql_count int
, OUT o_session_count int
, OUT o_busy_time numeric
, OUT o_idle_time numeric
, OUT o_iowait_time numeric
, OUT o_db_cpu_time numeric
, OUT o_db_memory_usage bigint
, OUT o_node_startup_time timestamp with time zone
, OUT o_node_host_name text
, OUT o_xact_commit bigint
, OUT o_xact_rollback bigint
, OUT o_checkpoints_timed bigint
, OUT o_checkpoints_req bigint
, OUT o_checkpoint_write_time double precision
)
AS
$$
DECLARE
l_block_size int;
l_record_chk int;
BEGIN
o_node_startup_time := pg_postmaster_start_time();
o_node_host_name := get_hostname();
SELECT COUNT(*) AS number_of_files
, SUM(phyrds) AS physical_reads
, SUM(phywrts) AS physical_writes
, SUM(readtim) AS read_time
, SUM(writetim) AS write_time
INTO o_number_of_files
, o_physical_reads
, o_physical_writes
, o_read_time
, o_write_time
FROM gs_file_stat;
IF o_number_of_files = 0
THEN
o_physical_reads := 0;
o_physical_writes := 0;
o_read_time := 0;
o_write_time := 0;
END IF;
WITH os_stat AS
(
SELECT os.name AS statname
, os.value AS statvalue
FROM gs_os_run_info os
WHERE os.name IN ( 'PHYSICAL_MEMORY_BYTES', 'BUSY_TIME',
'IDLE_TIME', 'IOWAIT_TIME' )
)
SELECT (SELECT statvalue FROM os_stat WHERE statname =
'PHYSICAL_MEMORY_BYTES')
, (SELECT statvalue FROM os_stat WHERE statname = 'BUSY_TIME')
, (SELECT statvalue FROM os_stat WHERE statname = 'IDLE_TIME')
, (SELECT statvalue FROM os_stat WHERE statname = 'IOWAIT_TIME')
INTO o_physical_memory
, o_busy_time
, o_idle_time
, o_iowait_time
FROM DUAL;
-- gs_db_time is not available; temporarily PMK extension is used.
o_db_cpu_time := total_cpu();
o_db_memory_usage := total_memory()*1024;
WITH config_value AS
( SELECT name
, setting::bigint AS config_value
FROM pg_settings
WHERE name IN ( 'block_size', 'shared_buffers', 'work_mem' )
)
, config_value1 AS
( SELECT (SELECT config_value FROM config_value WHERE name =
'block_size') AS block_size
, (SELECT config_value FROM config_value WHERE name =
'shared_buffers') AS shared_buffers
, (SELECT config_value FROM config_value WHERE name =
'work_mem') AS work_mem
FROM DUAL
)
SELECT block_size
, (shared_buffers * block_size)::bigint
, (work_mem * 1024)::bigint
INTO l_block_size
, o_shared_buffer_size
, o_work_memory_size
FROM config_value1;
/* Commented since these statistics are not used for node and
* cluster reports
*/
o_session_memory_total_size := 0;
o_session_memory_used_size := 0;
SELECT SUM(blks_read)::bigint
, SUM(blks_hit)::bigint
, SUM(xact_commit)::bigint
, SUM(xact_rollback)::bigint
INTO o_blocks_read
, o_blocks_hit
, o_xact_commit
, o_xact_rollback
FROM pg_stat_database;
o_db_size := 0;
IF i_skip_supper_role = 'TRUE'
THEN
WITH session_state AS
( SELECT state, waiting , usename
FROM pg_stat_activity a, pg_roles r
WHERE r.rolsuper = 'f' AND a.usename = r.rolname
)
, active_session AS
( SELECT state, waiting , usename
FROM session_state s, pg_roles r
WHERE s.state IN ('active', 'fastpath function call', 'retrying')
AND r.rolsuper = 'f' AND s.usename = r.rolname
)
SELECT ( SELECT COUNT(*) FROM active_session )
, ( SELECT COUNT(*) FROM active_session WHERE waiting = TRUE )
, ( SELECT COUNT(*) FROM session_state )
INTO o_active_sql_count, o_wait_sql_count , o_session_count
FROM DUAL;
ELSE
WITH session_state AS
( SELECT state, waiting
FROM pg_stat_activity
)
, active_session AS
( SELECT state, waiting
FROM session_state
WHERE state IN ('active', 'fastpath function call', 'retrying')
)
SELECT ( SELECT COUNT(*) FROM active_session )
, ( SELECT COUNT(*) FROM active_session WHERE waiting = TRUE )
, ( SELECT COUNT(*) FROM session_state )
INTO o_active_sql_count, o_wait_sql_count, o_session_count
FROM DUAL;
END IF;
-- Currently, the below statistics are calculated from gd_session_stat
-- (which is not accurate) since gs_db_stat is not available
WITH sort_state AS
( SELECT statname
, SUM(value)::bigint AS sorts_cnt
FROM gs_session_stat
WHERE statname IN ('n_sort_in_memory', 'n_sort_in_disk')
GROUP BY statname
)
SELECT (SELECT sorts_cnt FROM sort_state WHERE statname =
'n_sort_in_memory')
, (SELECT sorts_cnt FROM sort_state WHERE statname =
'n_sort_in_disk')
INTO o_sorts_in_memory
, o_sorts_in_disk
FROM DUAL;
SELECT SUM(checkpoints_timed)::bigint
, SUM(checkpoints_req)::bigint
, SUM(checkpoint_write_time)::bigint
INTO o_checkpoints_timed
, o_checkpoints_req
, o_checkpoint_write_time
FROM pg_stat_bgwriter;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.find_node_stat
(IN i_skip_supper_role boolean
, OUT o_number_of_files_1 int
, OUT o_physical_reads_1 bigint
, OUT o_physical_writes_1 bigint
, OUT o_read_time_1 bigint
, OUT o_write_time_1 bigint
, OUT o_physical_memory_1 bigint
, OUT o_shared_buffer_size_1 bigint
, OUT o_session_memory_total_size_1 bigint
, OUT o_session_memory_used_size_1 bigint
, OUT o_blocks_read_1 bigint
, OUT o_blocks_hit_1 bigint
, OUT o_db_size_1 bigint
, OUT o_work_memory_size_1 bigint
, OUT o_sorts_in_memory_1 bigint
, OUT o_sorts_in_disk_1 bigint
, OUT o_active_sql_count_1 int
, OUT o_wait_sql_count_1 int
, OUT o_session_count_1 int
, OUT o_busy_time_1 numeric
, OUT o_idle_time_1 numeric
, OUT o_iowait_time_1 numeric
, OUT o_db_cpu_time_1 numeric
, OUT o_db_memory_usage_1 bigint
, OUT o_node_startup_time_1 timestamp with time zone
, OUT o_node_host_name_1 text
, OUT o_xact_commit_1 bigint
, OUT o_xact_rollback_1 bigint
, OUT o_checkpoints_timed_1 bigint
, OUT o_checkpoints_req_1 bigint
, OUT o_checkpoint_write_time_1 double precision
)
AS
$$
BEGIN
SELECT o_number_of_files
, o_physical_reads
, o_physical_writes
, o_read_time
, o_write_time
, o_physical_memory
, o_shared_buffer_size
, o_session_memory_total_size
, o_session_memory_used_size
, o_blocks_read
, o_blocks_hit
, o_db_size
, o_work_memory_size
, o_sorts_in_memory
, o_sorts_in_disk
, o_active_sql_count
, o_wait_sql_count
, o_session_count
, o_busy_time
, o_idle_time
, o_iowait_time
, o_db_cpu_time
, o_db_memory_usage
, o_node_startup_time
, o_node_host_name
, o_xact_commit
, o_xact_rollback
, o_checkpoints_timed
, o_checkpoints_req
, o_checkpoint_write_time
INTO o_number_of_files_1
, o_physical_reads_1
, o_physical_writes_1
, o_read_time_1
, o_write_time_1
, o_physical_memory_1
, o_shared_buffer_size_1
, o_session_memory_total_size_1
, o_session_memory_used_size_1
, o_blocks_read_1
, o_blocks_hit_1
, o_db_size_1
, o_work_memory_size_1
, o_sorts_in_memory_1
, o_sorts_in_disk_1
, o_active_sql_count_1
, o_wait_sql_count_1
, o_session_count_1
, o_busy_time_1
, o_idle_time_1
, o_iowait_time_1
, o_db_cpu_time_1
, o_db_memory_usage_1
, o_node_startup_time_1
, o_node_host_name_1
, o_xact_commit_1
, o_xact_rollback_1
, o_checkpoints_timed_1
, o_checkpoints_req_1
, o_checkpoint_write_time_1
FROM pmk.find_perf_stat(i_skip_supper_role);
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.load_datanode_stat
( IN i_snapshot_id int
, IN i_last_snapshot_id int
, IN i_pmk_last_collect_start_time timestamp with time zone
, IN i_node_name text
, IN i_number_of_files int
, IN i_physical_reads bigint
, IN i_physical_writes bigint
, IN i_read_time bigint
, IN i_write_time bigint
, IN i_physical_memory bigint
, IN i_shared_buffer_size bigint
, IN i_session_memory_total_size bigint
, IN i_session_memory_used_size bigint
, IN i_blocks_read bigint
, IN i_blocks_hit bigint
, IN i_db_size bigint
, IN i_work_memory_size bigint
, IN i_sorts_in_memory bigint
, IN i_sorts_in_disk bigint
, IN i_active_sql_count int
, IN i_wait_sql_count int
, IN i_session_count int
, IN i_busy_time numeric
, IN i_idle_time numeric
, IN i_iowait_time numeric
, IN i_db_cpu_time numeric
, IN i_db_memory_usage bigint
, IN i_node_startup_time timestamp with time zone
, IN i_node_host_name text
, IN i_xact_commit bigint
, IN i_xact_rollback bigint
, IN i_checkpoints_timed bigint
, IN i_checkpoints_req bigint
, IN i_checkpoint_write_time double precision
, IN i_skip_supper_role boolean
, OUT o_dn_snapshot_id int
, OUT o_dn_node_name text
-- node name from pgxc_node
, OUT o_dn_node_host text
-- node host from pgxc_node
, OUT o_dn_last_startup_time timestamp with time zone
-- last restart time of the node before snapshot starts
, OUT o_dn_number_of_files int
, OUT o_dn_physical_reads bigint
, OUT o_dn_physical_reads_delta bigint
, OUT o_dn_physical_writes bigint
, OUT o_dn_physical_writes_delta bigint
, OUT o_dn_read_time bigint
, OUT o_dn_read_time_delta bigint
, OUT o_dn_write_time bigint
, OUT o_dn_write_time_delta bigint
, OUT o_dn_db_size bigint
, OUT o_dn_active_sql_count int
, OUT o_dn_wait_sql_count int
, OUT o_dn_session_count int
, OUT o_dn_xact_commit bigint
, OUT o_dn_xact_commit_delta bigint
, OUT o_dn_xact_rollback bigint
, OUT o_dn_xact_rollback_delta bigint
, OUT o_dn_checkpoints_timed bigint
, OUT o_dn_checkpoints_timed_delta bigint
, OUT o_dn_checkpoints_req bigint
, OUT o_dn_checkpoints_req_delta bigint
, OUT o_dn_checkpoint_write_time double precision
, OUT o_dn_checkpoint_write_time_delta double precision
, OUT o_dn_physical_memory bigint
, OUT o_dn_db_memory_usage bigint
, OUT o_dn_shared_buffer_size bigint
, OUT o_dn_session_memory_total_size bigint
, OUT o_dn_session_memory_used_size bigint
, OUT o_dn_blocks_read bigint
, OUT o_dn_blocks_read_delta bigint
, OUT o_dn_blocks_hit bigint
, OUT o_dn_blocks_hit_delta bigint
, OUT o_dn_work_memory_size bigint
, OUT o_dn_sorts_in_memory bigint
, OUT o_dn_sorts_in_memory_delta bigint
, OUT o_dn_sorts_in_disk bigint
, OUT o_dn_sorts_in_disk_delta bigint
, OUT o_dn_busy_time numeric
, OUT o_dn_busy_time_delta numeric
, OUT o_dn_idle_time numeric
, OUT o_dn_idle_time_delta numeric
, OUT o_dn_iowait_time numeric
, OUT o_dn_iowait_time_delta numeric
, OUT o_dn_db_cpu_time numeric
, OUT o_dn_db_cpu_time_delta numeric
)
AS
$$
DECLARE l_physical_reads_delta bigint;
l_physical_writes_delta bigint;
l_read_time_delta bigint;
l_write_time_delta bigint;
l_blocks_read_delta bigint;
l_blocks_hit_delta bigint;
l_sorts_in_memory_delta bigint;
l_sorts_in_disk_delta bigint;
l_busy_time_delta numeric;
l_idle_time_delta numeric;
l_iowait_time_delta numeric;
l_db_cpu_time_delta numeric;
l_xact_commit_delta bigint;
l_xact_rollback_delta bigint;
l_checkpoints_timed_delta bigint;
l_checkpoints_req_delta bigint;
l_checkpoint_write_time_delta double precision;
i_skip_supper_role_delta boolean;
BEGIN
l_physical_reads_delta := i_physical_reads;
l_physical_writes_delta := i_physical_writes;
l_read_time_delta := i_read_time;
l_write_time_delta := i_write_time;
l_xact_commit_delta := i_xact_commit;
l_xact_rollback_delta := i_xact_rollback;
l_checkpoints_timed_delta := i_checkpoints_timed;
i_skip_supper_role_delta := i_skip_supper_role;
l_checkpoints_req_delta := i_checkpoints_req;
l_checkpoint_write_time_delta := i_checkpoint_write_time;
l_blocks_read_delta := i_blocks_read;
l_blocks_hit_delta := i_blocks_hit;
l_busy_time_delta := i_busy_time;
l_idle_time_delta := i_idle_time;
l_iowait_time_delta := i_iowait_time;
l_db_cpu_time_delta := i_db_cpu_time;
-- Currently, the below statistics are calculated from gs_session_stat
-- (which is not accurate) since gs_db_stat is not available
-- These statistics are cumulative from instance startup.
l_sorts_in_memory_delta := i_sorts_in_memory;
l_sorts_in_disk_delta := i_sorts_in_disk;
o_dn_snapshot_id := i_snapshot_id;
o_dn_node_name := i_node_name;
o_dn_node_host := i_node_host_name;
o_dn_last_startup_time := i_node_startup_time;
o_dn_number_of_files := i_number_of_files;
o_dn_physical_reads := i_physical_reads;
o_dn_physical_reads_delta := l_physical_reads_delta;
o_dn_physical_writes := i_physical_writes;
o_dn_physical_writes_delta := l_physical_writes_delta;
o_dn_read_time := i_read_time;
o_dn_read_time_delta := l_read_time_delta;
o_dn_write_time := i_write_time;
o_dn_write_time_delta := l_write_time_delta;
o_dn_db_size := i_db_size;
o_dn_active_sql_count := i_active_sql_count;
o_dn_wait_sql_count := i_wait_sql_count;
o_dn_session_count := i_session_count;
o_dn_xact_commit := i_xact_commit;
o_dn_xact_commit_delta := l_xact_commit_delta;
o_dn_xact_rollback := i_xact_rollback;
o_dn_xact_rollback_delta := l_xact_rollback_delta;
o_dn_checkpoints_timed := i_checkpoints_timed;
o_dn_checkpoints_timed_delta := l_checkpoints_timed_delta;
o_dn_checkpoints_req := i_checkpoints_req;
o_dn_checkpoints_req_delta := l_checkpoints_req_delta;
o_dn_checkpoint_write_time := i_checkpoint_write_time;
o_dn_checkpoint_write_time_delta := l_checkpoint_write_time_delta;
o_dn_physical_memory := i_physical_memory;
o_dn_db_memory_usage := i_db_memory_usage;
o_dn_shared_buffer_size := i_shared_buffer_size;
o_dn_session_memory_total_size := i_session_memory_total_size;
o_dn_session_memory_used_size := i_session_memory_used_size;
o_dn_blocks_read := i_blocks_read;
o_dn_blocks_read_delta := l_blocks_read_delta;
o_dn_blocks_hit := i_blocks_hit;
o_dn_blocks_hit_delta := l_blocks_hit_delta;
o_dn_work_memory_size := i_work_memory_size;
o_dn_sorts_in_memory := i_sorts_in_memory;
o_dn_sorts_in_memory_delta := l_sorts_in_memory_delta;
o_dn_sorts_in_disk := i_sorts_in_disk;
o_dn_sorts_in_disk_delta := l_sorts_in_disk_delta;
o_dn_busy_time := i_busy_time;
o_dn_busy_time_delta := l_busy_time_delta;
o_dn_idle_time := i_idle_time;
o_dn_idle_time_delta := l_idle_time_delta;
o_dn_iowait_time := i_iowait_time;
o_dn_iowait_time_delta := l_iowait_time_delta;
o_dn_db_cpu_time := i_db_cpu_time;
o_dn_db_cpu_time_delta := l_db_cpu_time_delta;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.load_node_stat
( IN i_pmk_curr_collect_start_time TIMESTAMP WITH TIME ZONE
, IN i_pmk_last_collect_start_time TIMESTAMP WITH TIME ZONE
, IN i_last_snapshot_id INT
, IN i_node_name TEXT
, IN i_node_type char(1)
, IN i_skip_supper_role boolean
)
RETURNS TABLE
(
snapshot_id int
, node_name text
, node_host text
, last_startup_time timestamp with time zone
, number_of_files int
, physical_reads bigint
, physical_reads_delta bigint
, physical_writes bigint
, physical_writes_delta bigint
, read_time bigint
, read_time_delta bigint
, write_time bigint
, write_time_delta bigint
, db_size bigint
, active_sql_count int
, wait_sql_count int
, session_count int
, xact_commit bigint
, xact_commit_delta bigint
, xact_rollback bigint
, xact_rollback_delta bigint
, checkpoints_timed bigint
, checkpoints_timed_delta bigint
, checkpoints_req bigint
, checkpoints_req_delta bigint
, checkpoint_write_time double precision
, checkpoint_write_time_delta double precision
, physical_memory bigint
, db_memory_usage bigint
, shared_buffer_size bigint
, session_memory_total_size bigint
, session_memory_used_size bigint
, blocks_read bigint
, blocks_read_delta bigint
, blocks_hit bigint
, blocks_hit_delta bigint
, work_memory_size bigint
, sorts_in_memory bigint
, sorts_in_memory_delta bigint
, sorts_in_disk bigint
, sorts_in_disk_delta bigint
, busy_time numeric
, busy_time_delta numeric
, idle_time numeric
, idle_time_delta numeric
, iowait_time numeric
, iowait_time_delta numeric
, db_cpu_time numeric
, db_cpu_time_delta numeric
)
AS
$$
DECLARE l_snapshot_id INT;
l_query_str TEXT;
l_node_stat_cur RECORD;
BEGIN
IF i_last_snapshot_id IS NULL
OR i_last_snapshot_id = 2147483647
THEN
l_snapshot_id := 1;
ELSE
l_snapshot_id := i_last_snapshot_id + 1;
END IF;
FOR l_node_stat_cur IN SELECT * FROM pmk.find_node_stat(i_skip_supper_role)
LOOP
RETURN QUERY
(SELECT * FROM pmk.load_datanode_stat ( l_snapshot_id
, i_last_snapshot_id
, i_pmk_last_collect_start_time
, i_node_name
, l_node_stat_cur.o_number_of_files_1
, l_node_stat_cur.o_physical_reads_1
, l_node_stat_cur.o_physical_writes_1
, l_node_stat_cur.o_read_time_1
, l_node_stat_cur.o_write_time_1
, l_node_stat_cur.o_physical_memory_1
, l_node_stat_cur.o_shared_buffer_size_1
, l_node_stat_cur.o_session_memory_total_size_1
, l_node_stat_cur.o_session_memory_used_size_1
, l_node_stat_cur.o_blocks_read_1
, l_node_stat_cur.o_blocks_hit_1
, l_node_stat_cur.o_db_size_1
, l_node_stat_cur.o_work_memory_size_1
, l_node_stat_cur.o_sorts_in_memory_1
, l_node_stat_cur.o_sorts_in_disk_1
, l_node_stat_cur.o_active_sql_count_1
, l_node_stat_cur.o_wait_sql_count_1
, l_node_stat_cur.o_session_count_1
, l_node_stat_cur.o_busy_time_1
, l_node_stat_cur.o_idle_time_1
, l_node_stat_cur.o_iowait_time_1
, l_node_stat_cur.o_db_cpu_time_1
, l_node_stat_cur.o_db_memory_usage_1
, l_node_stat_cur.o_node_startup_time_1
, l_node_stat_cur.o_node_host_name_1
, l_node_stat_cur.o_xact_commit_1
, l_node_stat_cur.o_xact_rollback_1
, l_node_stat_cur.o_checkpoints_timed_1
, l_node_stat_cur.o_checkpoints_req_1
, l_node_stat_cur.o_checkpoint_write_time_1
, i_skip_supper_role
));
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.delete_expired_snapshots ( )
RETURNS void
AS
$$
DECLARE l_collection_count INT;
l_retention_snapshot_id INT;
BEGIN
-- Deleting node statistics based on "collection count" config param
SELECT config_value
INTO l_collection_count
FROM pmk.pmk_configuration
WHERE config_param_name = 'Collection Count';
IF l_collection_count > -1
THEN
IF l_collection_count = 0
THEN
l_collection_count := 1;
END IF;
SELECT MIN(snapshot_id)
INTO l_retention_snapshot_id
FROM ( SELECT snapshot_id
FROM pmk.pmk_snapshot
ORDER BY snapshot_id DESC
LIMIT l_collection_count );
DELETE FROM pmk.pmk_snapshot_datanode_stat
WHERE snapshot_id < l_retention_snapshot_id;
DELETE FROM pmk.pmk_snapshot
WHERE snapshot_id < l_retention_snapshot_id;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.get_meta_data
( OUT l_pmk_curr_collect_start_time timestamp with time zone
, OUT l_pmk_last_collect_start_time timestamp with time zone
, OUT l_last_snapshot_id int
)
AS
$$
DECLARE l_error_message TEXT;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
SELECT last_snapshot_id, last_snapshot_collect_time
INTO l_last_snapshot_id, l_pmk_last_collect_start_time
FROM pmk.pmk_meta_data;
l_pmk_curr_collect_start_time := date_trunc('second', current_timestamp);
IF l_pmk_curr_collect_start_time < l_pmk_last_collect_start_time
THEN
l_error_message := 'ERROR:: There is a change in system time of Gauss
MPPDB host. PMK does not support the scenarios related to
system time change.';
pmk.put_line(l_error_message);
RETURN;
ELSIF l_pmk_curr_collect_start_time = l_pmk_last_collect_start_time
THEN
l_error_message := 'ERROR:: Multiple statistics-collections can not
be done within a second.';
pmk.put_line(l_error_message);
RETURN;
END IF;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.get_pgxc_node
( OUT o_node_name TEXT
, OUT o_node_type CHAR(1)
)
RETURNS SETOF RECORD
AS
$$
DECLARE l_error_message TEXT;
v_rec RECORD;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
FOR v_rec IN (SELECT node_name from DBE_PERF.node_name;) LOOP
o_node_name := v_rec.node_name;
o_node_type := 'D';
RETURN NEXT;
END LOOP;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.check_start_end_dates
( INOUT io_start_pmk_time timestamp with time zone
, INOUT io_end_pmk_time timestamp with time zone
, OUT o_error_message text
)
AS
$$
DECLARE l_last_collect_time timestamp with time zone;
BEGIN
SELECT last_snapshot_collect_time
INTO l_last_collect_time
FROM pmk.pmk_meta_data;
IF io_start_pmk_time > l_last_collect_time
THEN
o_error_message := 'ERROR:: The from-time provided is greater than
the last statistics-collection time(' || l_last_collect_time || ').
Invalid value(s) provided for the input time-range';
RETURN;
END IF;
IF io_end_pmk_time IS NULL
THEN
io_end_pmk_time := l_last_collect_time;
IF io_start_pmk_time IS NULL
THEN
io_start_pmk_time := io_end_pmk_time;
END IF;
ELSE
IF (io_start_pmk_time IS NULL) OR
(io_start_pmk_time > io_end_pmk_time)
THEN
o_error_message := 'ERROR:: Invalid value(s) provided for
the input time-range';
RETURN;
END IF;
END IF;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_host_cpu_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_avg_cpu_total_time numeric(21, 3)
, OUT o_avg_cpu_busy_time numeric(21, 3)
, OUT o_avg_cpu_iowait_time numeric(21, 3)
, OUT o_cpu_busy_perc numeric(5, 2)
, OUT o_cpu_io_wait_perc numeric(5, 2)
, OUT o_min_cpu_busy_perc numeric(5, 2)
, OUT o_max_cpu_busy_perc numeric(5, 2)
, OUT o_min_cpu_iowait_perc numeric(5, 2)
, OUT o_max_cpu_iowait_perc numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of cluster
host CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, os_cpu_stat AS
( SELECT s.pmk_curr_collect_start_time
, node_host
, node_name
, (busy_time_delta * 10) AS cpu_busy_time
, (idle_time_delta * 10) AS cpu_idle_time
, (iowait_time_delta * 10) AS cpu_iowait_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
, os_cpu_stat1 AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_host
, cpu_busy_time
, cpu_idle_time
, cpu_iowait_time
, (cpu_busy_time+cpu_idle_time+cpu_iowait_time)
::numeric AS cpu_total_time
FROM ( SELECT pmk_curr_collect_start_time
, node_host
, cpu_busy_time
, cpu_idle_time
, cpu_iowait_time
, rank() OVER (PARTITION BY pmk_curr_collect_start_time
, node_host ORDER BY cpu_busy_time DESC, node_name
) AS node_cpu_busy_order
FROM os_cpu_stat
)
WHERE node_cpu_busy_order = 1
)
SELECT hcs.stat_collect_time
, AVG(hcs.cpu_total_time)::numeric(21, 3) AS avg_cpu_total_time
, AVG(hcs.cpu_busy_time)::numeric(21, 3) AS avg_cpu_busy_time
, AVG(hcs.cpu_iowait_time)::numeric(21, 3) AS avg_cpu_iowait_time
, ((SUM(cpu_busy_time) * 100.0)
/ NULLIF(SUM(cpu_total_time), 0))::numeric(5, 2)
AS cpu_busy_perc
, ( (SUM(cpu_iowait_time) * 100.0)
/ NULLIF(SUM(cpu_total_time), 0) )::numeric(5, 2)
AS cpu_io_wait_perc
, MIN(hcs.cpu_busy_time_perc)::numeric(5, 2)
AS min_cpu_busy_perc
, MAX(hcs.cpu_busy_time_perc)::numeric(5, 2)
AS max_cpu_busy_perc
, MIN(hcs.cpu_iowait_time_perc)::numeric(5, 2)
AS min_cpu_iowait_perc
, MAX(hcs.cpu_iowait_time_perc)::numeric(5, 2)
AS max_cpu_iowait_perc
FROM ( SELECT node_host
, stat_collect_time
, cpu_total_time
, cpu_busy_time
, cpu_iowait_time
, ( (cpu_busy_time * 100.0)
/ NULLIF(cpu_total_time, 0) )::numeric(5, 2)
AS cpu_busy_time_perc
, ( (cpu_iowait_time * 100.0)
/ NULLIF(cpu_total_time, 0) )::numeric(5, 2)
AS cpu_iowait_time_perc
FROM os_cpu_stat1 ) hcs
GROUP BY hcs.stat_collect_time
ORDER BY hcs.stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_mppdb_cpu_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_avg_mppdb_cpu_time numeric(21, 3)
, OUT o_avg_host_cpu_busy_time numeric(21, 3)
, OUT o_avg_host_cpu_total_time numeric(21, 3)
, OUT o_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
, OUT o_min_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_max_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_min_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
, OUT o_max_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
cluster MPPDB CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, cpu_stat AS
( SELECT s.snapshot_id
, s.pmk_curr_collect_start_time
, dns.node_name
, dns.node_host
, (dns.busy_time_delta * 10) AS host_cpu_busy_time
, (dns.idle_time_delta * 10) AS host_cpu_idle_time
, (dns.iowait_time_delta * 10) AS host_cpu_iowait_time
, (dns.db_cpu_time_delta * 10) AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
, host_cpu_stat AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_host
, host_cpu_busy_time
, host_cpu_idle_time
, host_cpu_iowait_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::numeric AS host_cpu_total_time
FROM ( SELECT pmk_curr_collect_start_time
, node_host
, host_cpu_busy_time
, host_cpu_idle_time
, host_cpu_iowait_time
, rank() OVER (PARTITION BY snapshot_id, node_host
ORDER BY host_cpu_busy_time DESC, node_name)
AS node_cpu_busy_order
FROM cpu_stat
)
WHERE node_cpu_busy_order = 1
)
, host_cpu_stat_summary AS
( SELECT stat_collect_time
, AVG(host_cpu_busy_time)::numeric(21, 3)
AS avg_host_cpu_busy_time
, AVG(host_cpu_total_time)::numeric(21, 3)
AS avg_host_cpu_total_time
, SUM(host_cpu_busy_time)::numeric(21, 3)
AS tot_host_cpu_busy_time
, SUM(host_cpu_total_time)::numeric(21, 3)
AS tot_host_cpu_total_time
FROM host_cpu_stat
GROUP BY stat_collect_time
)
, mppdb_cpu_stat0 AS
( SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, node_name
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::numeric AS host_cpu_total_time
FROM cpu_stat
)
, mppdb_cpu_stat AS
( SELECT stat_collect_time
, node_name
, mppdb_cpu_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_busy_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_busy_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_total_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat0
)
, mppdb_cpu_stat_summary AS
( SELECT stat_collect_time
, AVG(mppdb_cpu_time)::numeric(21, 3) AS avg_mppdb_cpu_time
, SUM(mppdb_cpu_time)::numeric(21, 3) AS tot_mppdb_cpu_time
, MIN(mppdb_cpu_time_perc_wrt_busy_time)::numeric(5, 2)
AS min_mppdb_cpu_time_perc_wrt_busy_time
, MAX(mppdb_cpu_time_perc_wrt_busy_time)::numeric(5, 2)
AS max_mppdb_cpu_time_perc_wrt_busy_time
, MIN(mppdb_cpu_time_perc_wrt_total_time)::numeric(5, 2)
AS min_mppdb_cpu_time_perc_wrt_total_time
, MAX(mppdb_cpu_time_perc_wrt_total_time)::numeric(5, 2)
AS max_mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat
GROUP BY stat_collect_time
)
SELECT mcs.stat_collect_time
, mcs.avg_mppdb_cpu_time
, hcs.avg_host_cpu_busy_time
, hcs.avg_host_cpu_total_time
, CASE WHEN mcs.tot_mppdb_cpu_time < hcs.tot_host_cpu_busy_time
THEN ( (mcs.tot_mppdb_cpu_time * 100.0)
/ NULLIF(hcs.tot_host_cpu_busy_time, 0) )::numeric(5, 2)
ELSE 100.00
END AS mppdb_cpu_time_perc_wrt_busy_time
, CASE WHEN mcs.tot_mppdb_cpu_time < hcs.tot_host_cpu_total_time
THEN ( (mcs.tot_mppdb_cpu_time * 100.0)
/ NULLIF(hcs.tot_host_cpu_total_time, 0) )::numeric(5, 2)
ELSE 100.00
END AS mppdb_cpu_time_perc_wrt_total_time
, mcs.min_mppdb_cpu_time_perc_wrt_busy_time
, mcs.max_mppdb_cpu_time_perc_wrt_busy_time
, mcs.min_mppdb_cpu_time_perc_wrt_total_time
, mcs.max_mppdb_cpu_time_perc_wrt_total_time
FROM mppdb_cpu_stat_summary mcs
, host_cpu_stat_summary hcs
WHERE mcs.stat_collect_time = hcs.stat_collect_time
ORDER BY mcs.stat_collect_time;
END;
$$
LANGUAGE plpgsql;""", """CREATE OR REPLACE FUNCTION pmk.get_cluster_shared_buffer_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_min_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_max_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_total_blocks_read bigint
, OUT o_total_blocks_hit bigint
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
cluster shared buffer statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, ( (total_blocks_hit * 100.0)
/ NULLIF(total_blocks_read+total_blocks_hit, 0) )::numeric(5, 2)
AS shared_buffer_hit_ratio
, min_shared_buffer_hit_ratio
, max_shared_buffer_hit_ratio
, total_blocks_read
, total_blocks_hit
FROM ( SELECT pmk_curr_collect_start_time
, SUM(blocks_read)::bigint AS total_blocks_read
, SUM(blocks_hit)::bigint AS total_blocks_hit
, MIN(shared_buffer_hit_ratio)::numeric(5, 2)
AS min_shared_buffer_hit_ratio
, MAX(shared_buffer_hit_ratio)::numeric(5, 2)
AS max_shared_buffer_hit_ratio
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, ( (blocks_hit_delta * 100.0)
/ NULLIF((blocks_read_delta + blocks_hit_delta), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_memory_sort_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_memory_sort_ratio numeric(5, 2)
, OUT o_min_memory_sort_ratio numeric(5, 2)
, OUT o_max_memory_sort_ratio numeric(5, 2)
, OUT o_total_memory_sorts bigint
, OUT o_total_disk_sorts bigint
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
cluster memory sort statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, ( (total_memory_sorts * 100.0)
/ NULLIF(total_disk_sorts+total_memory_sorts, 0) )::numeric(5, 2)
AS memory_sort_ratio
, min_memory_sort_ratio
, max_memory_sort_ratio
, total_memory_sorts
, total_disk_sorts
FROM ( SELECT pmk_curr_collect_start_time
, SUM(memory_sorts)::bigint AS total_memory_sorts
, SUM(disk_sorts)::bigint AS total_disk_sorts
, MIN(memory_sort_ratio)::numeric(5, 2) AS min_memory_sort_ratio
, MAX(memory_sort_ratio)::numeric(5, 2) AS max_memory_sort_ratio
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, sorts_in_memory_delta AS memory_sorts
, sorts_in_disk_delta AS disk_sorts
, ( (sorts_in_memory_delta * 100.0)
/ NULLIF((sorts_in_disk_delta + sorts_in_memory_delta), 0) )
::numeric(5, 2) AS memory_sort_ratio
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_io_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_avg_read_per_sec numeric(20,2)
, OUT o_avg_read_time numeric(20,3)
, OUT o_avg_write_per_sec numeric(20,2)
, OUT o_avg_write_time numeric(20,3)
, OUT o_min_node_read_per_sec numeric(20,2)
, OUT o_max_node_read_per_sec numeric(20,2)
, OUT o_min_node_read_time numeric(20,3)
, OUT o_max_node_read_time numeric(20,3)
, OUT o_min_node_write_per_sec numeric(20,2)
, OUT o_max_node_write_per_sec numeric(20,2)
, OUT o_min_node_write_time numeric(20,3)
, OUT o_max_node_write_time numeric(20,3)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
cluster I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0 / NULLIF(read_time, 0) )::numeric(20,2)
AS avg_read_per_sec
, ( read_time * 1.0 / NULLIF(physical_reads, 0) )::numeric(20,3)
AS avg_read_time
, ( physical_writes * 1000000.0
/ NULLIF(write_time, 0) )::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0 / NULLIF(physical_writes, 0) )::numeric(20,3)
AS avg_write_time
, min_node_read_per_sec
, max_node_read_per_sec
, min_node_read_time
, max_node_read_time
, min_node_write_per_sec
, max_node_write_per_sec
, min_node_write_time
, max_node_write_time
FROM ( SELECT pmk_curr_collect_start_time
, SUM(number_of_files)::int AS number_of_files
, SUM(physical_reads_delta)::bigint AS physical_reads
, SUM(physical_writes_delta)::bigint AS physical_writes
, SUM(read_time_delta)::bigint AS read_time
, SUM(write_time_delta)::bigint AS write_time
, MIN(node_read_per_sec) AS min_node_read_per_sec
, MAX(node_read_per_sec) AS max_node_read_per_sec
, MIN(node_read_time) AS min_node_read_time
, MAX(node_read_time) AS max_node_read_time
, MIN(node_write_per_sec) AS min_node_write_per_sec
, MAX(node_write_per_sec) AS max_node_write_per_sec
, MIN(node_write_time) AS min_node_write_time
, MAX(node_write_time) AS max_node_write_time
FROM ( SELECT s.pmk_curr_collect_start_time
, node_name
, number_of_files
, physical_reads_delta
, physical_writes_delta
, read_time_delta
, write_time_delta
, ( physical_reads_delta * 1000000.0
/ NULLIF(read_time_delta, 0) )::numeric(20,2)
AS node_read_per_sec
, ( read_time_delta * 1.0
/ NULLIF(physical_reads_delta, 0) )::numeric(20,3)
AS node_read_time
, ( physical_writes_delta * 1000000.0
/ NULLIF(write_time_delta, 0) )::numeric(20,2)
AS node_write_per_sec
, ( write_time_delta * 1.0
/ NULLIF(physical_writes_delta, 0) )::numeric(20,3)
AS node_write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
GROUP BY pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_disk_usage_stat
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, IN i_db_size text
, OUT o_stat_collect_time timestamp
, OUT o_tot_datanode_db_size text
, OUT o_max_datanode_db_size text
, OUT o_tot_physical_writes bigint
, OUT o_max_node_physical_writes bigint
, OUT o_max_node_write_per_sec numeric(20,2)
, OUT o_avg_write_per_sec numeric(20,2)
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
DECLARE l_db_size bigint;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of cluster
disk usage statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF i_db_size = '0'
THEN
SELECT SUM(pg_database_size(oid))::bigint
INTO l_db_size
FROM pg_database;
ELSE
SELECT SUM(i_db_size)::bigint
INTO l_db_size;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
, disk_stat AS
(
SELECT s.pmk_curr_collect_start_time
, db_size
, physical_writes_delta
, write_time_delta
, ( physical_writes_delta * 1000000.0
/ NULLIF(write_time_delta, 0) )::numeric(20,2)
AS node_write_per_sec
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, pg_size_pretty(tot_datanode_db_size) AS tot_datanode_db_size
, pg_size_pretty(max_datanode_db_size) AS max_datanode_db_size
, tot_physical_writes
, max_node_physical_writes
, max_node_write_per_sec
, ( tot_physical_writes * 1000000.0
/ NULLIF(tot_write_time, 0) )::numeric(20,2) AS avg_write_per_sec
FROM ( SELECT pmk_curr_collect_start_time
, l_db_size::bigint AS tot_datanode_db_size
, MAX(db_size)::bigint AS max_datanode_db_size
, SUM(physical_writes_delta)::bigint AS tot_physical_writes
, SUM(write_time_delta)::bigint AS tot_write_time
, MAX(physical_writes_delta)::bigint
AS max_node_physical_writes
, MAX(node_write_per_sec) AS max_node_write_per_sec
FROM disk_stat
GROUP BY pmk_curr_collect_start_time
)
ORDER BY pmk_curr_collect_start_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_active_sql_count
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_tot_active_sql_count int
, OUT o_avg_active_sql_count numeric(9, 2)
, OUT o_min_active_sql_count int
, OUT o_max_active_sql_count int
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
active SQL count statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, tot_active_sql_count
, avg_active_sql_count
, min_active_sql_count
, max_active_sql_count
FROM ( SELECT s.pmk_curr_collect_start_time
, SUM(active_sql_count)::int AS tot_active_sql_count
, ROUND(AVG(active_sql_count), 2)::numeric(9, 2)
AS avg_active_sql_count
, MIN(active_sql_count)::int AS min_active_sql_count
, MAX(active_sql_count)::int AS max_active_sql_count
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
GROUP BY s.pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_cluster_session_count
( IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_stat_collect_time timestamp
, OUT o_tot_session_count int
, OUT o_avg_session_count numeric(9, 2)
, OUT o_min_session_count int
, OUT o_max_session_count int
)
RETURNS SETOF record
AS
$$
DECLARE l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of
session count statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT pmk_curr_collect_start_time::timestamp AS stat_collect_time
, tot_session_count
, avg_session_count
, min_session_count
, max_session_count
FROM ( SELECT s.pmk_curr_collect_start_time
, SUM(session_count)::int AS tot_session_count
, ROUND(AVG(session_count), 2)::numeric(9, 2)
AS avg_session_count
, MIN(session_count)::int AS min_session_count
, MAX(session_count)::int AS max_session_count
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
GROUP BY s.pmk_curr_collect_start_time
)
ORDER BY stat_collect_time;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_cpu_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_mppdb_cpu_time bigint
, OUT o_host_cpu_busy_time bigint
, OUT o_host_cpu_total_time bigint
, OUT o_mppdb_cpu_time_perc_wrt_busy_time numeric(5, 2)
, OUT o_mppdb_cpu_time_perc_wrt_total_time numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("' ||
i_node_name || '") provided during generation of node
(MPPDB instance) CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) CPU statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::bigint AS host_cpu_total_time
, ( (mppdb_cpu_time * 100.0)
/ NULLIF(host_cpu_busy_time, 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_busy_time
, ( (mppdb_cpu_time * 100.0)
/ NULLIF((host_cpu_busy_time+host_cpu_idle_time
+host_cpu_iowait_time), 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_total_time
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, (busy_time_delta * 10)::bigint AS host_cpu_busy_time
, (idle_time_delta * 10)::bigint AS host_cpu_idle_time
, (iowait_time_delta * 10)::bigint AS host_cpu_iowait_time
, (db_cpu_time_delta * 10)::bigint AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, mppdb_cpu_time
, host_cpu_busy_time
, (host_cpu_busy_time+host_cpu_idle_time+host_cpu_iowait_time)
::bigint AS host_cpu_total_time
, ( (mppdb_cpu_time * 100.0) / NULLIF(host_cpu_busy_time, 0) )
::numeric(5, 2) AS mppdb_cpu_time_perc_wrt_busy_time
, ( (mppdb_cpu_time * 100.0) / NULLIF((host_cpu_busy_time+
host_cpu_idle_time+host_cpu_iowait_time), 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc_wrt_total_time
FROM ( SELECT node_name
, node_host
, s.pmk_curr_collect_start_time
, (busy_time_delta * 10)::bigint AS host_cpu_busy_time
, (idle_time_delta * 10)::bigint AS host_cpu_idle_time
, (iowait_time_delta * 10)::bigint AS host_cpu_iowait_time
, (db_cpu_time_delta * 10)::bigint AS mppdb_cpu_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_memory_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_physical_memory bigint
, OUT o_db_memory_usage bigint
, OUT o_shared_buffer_size bigint
, OUT o_blocks_read bigint
, OUT o_blocks_hit bigint
, OUT o_shared_buffer_hit_ratio numeric(5, 2)
, OUT o_work_memory_size bigint
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_in_memory_sort_ratio numeric(5, 2)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("'
|| i_node_name || '") provided during generation of node
(MPPDB instance) memory statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) memory statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read
, blocks_hit
, ( (blocks_hit * 100.0) / NULLIF((blocks_read + blocks_hit), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
, work_memory_size
, sorts_in_memory
, sorts_in_disk
, ( (sorts_in_memory * 100.0)
/ NULLIF((sorts_in_disk + sorts_in_memory), 0) )::numeric(5, 2)
AS in_memory_sort_ratio
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, work_memory_size
, sorts_in_memory_delta AS sorts_in_memory
, sorts_in_disk_delta AS sorts_in_disk
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read
, blocks_hit
, ( (blocks_hit * 100.0) / NULLIF((blocks_read + blocks_hit), 0) )
::numeric(5, 2) AS shared_buffer_hit_ratio
, work_memory_size
, sorts_in_memory
, sorts_in_disk
, ( (sorts_in_memory * 100.0) / NULLIF((sorts_in_disk +
sorts_in_memory), 0) )::numeric(5, 2) AS in_memory_sort_ratio
FROM ( SELECT node_name
, node_host
, s.pmk_curr_collect_start_time
, physical_memory
, db_memory_usage
, shared_buffer_size
, blocks_read_delta AS blocks_read
, blocks_hit_delta AS blocks_hit
, work_memory_size
, sorts_in_memory_delta AS sorts_in_memory
, sorts_in_disk_delta AS sorts_in_disk
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_node_io_stat
( IN i_node_name text
, IN i_start_pmk_time timestamp with time zone
, IN i_end_pmk_time timestamp with time zone
, OUT o_node_type char(1)
, OUT o_node_name text
, OUT o_node_host text
, OUT o_stat_collect_time timestamp
, OUT o_number_of_files int
, OUT o_physical_reads bigint
, OUT o_physical_writes bigint
, OUT o_read_time bigint
, OUT o_write_time bigint
, OUT o_avg_read_per_sec numeric(20,2)
, OUT o_avg_read_time numeric(20,3)
, OUT o_avg_write_per_sec numeric(20,2)
, OUT o_avg_write_time numeric(20,3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_type char(1);
l_node_name text;
l_error_message text;
BEGIN
l_error_message := pmk.check_node_type();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_error_message := pmk.check_pmk_enabled();
IF l_error_message IS NOT NULL
THEN
pmk.put_line(l_error_message);
RETURN;
END IF;
l_node_name := UPPER(i_node_name);
IF l_node_name <> 'ALL'
THEN
l_node_type := 'D';
IF l_node_type IS NULL
THEN
l_error_message := 'ERROR:: Invalid node name ("' || i_node_name
|| '") provided during generation of node (MPPDB instance)
I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
END IF;
-- Verifying the input start and end times
pmk.check_start_end_dates(i_start_pmk_time, i_end_pmk_time, l_error_message);
IF l_error_message IS NOT NULL
THEN
l_error_message := l_error_message || ' during generation of node
(MPPDB instance) I/O statistics ...';
pmk.put_line(l_error_message);
RETURN;
END IF;
IF l_node_name = 'ALL'
THEN
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0
/ NULLIF(read_time, 0) )::numeric(20,2) AS avg_read_per_sec
, ( read_time * 1.0
/ NULLIF(physical_reads, 0) )::numeric(20,3) AS avg_read_time
, ( physical_writes * 1000000.0
/ NULLIF(write_time, 0) )::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0
/ NULLIF(physical_writes, 0) )::numeric(20,3) AS avg_write_time
FROM ( SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, s.pmk_curr_collect_start_time
, number_of_files
, physical_reads_delta AS physical_reads
, physical_writes_delta AS physical_writes
, read_time_delta AS read_time
, write_time_delta AS write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
)
ORDER BY node_type, node_name, stat_collect_time;
ELSE
RETURN QUERY
WITH snap AS
( SELECT snapshot_id
, current_snapshot_time AS pmk_curr_collect_start_time
FROM pmk.pmk_snapshot
WHERE current_snapshot_time
BETWEEN i_start_pmk_time AND i_end_pmk_time
)
SELECT 'D'::char(1) AS node_type
, node_name
, node_host
, pmk_curr_collect_start_time::timestamp AS stat_collect_time
, number_of_files
, physical_reads
, physical_writes
, read_time
, write_time
, ( physical_reads * 1000000.0
/ NULLIF(read_time, 0) )::numeric(20,2) AS avg_read_per_sec
, ( read_time * 1.0
/ NULLIF(physical_reads, 0) )::numeric(20,3) AS avg_read_time
, ( physical_writes * 1000000.0
/ NULLIF(write_time, 0) )::numeric(20,2) AS avg_write_per_sec
, ( write_time * 1.0
/ NULLIF(physical_writes, 0) )::numeric(20,3) AS avg_write_time
FROM ( SELECT node_name
, node_host
, pmk_curr_collect_start_time
, number_of_files
, physical_reads_delta AS physical_reads
, physical_writes_delta AS physical_writes
, read_time_delta AS read_time
, write_time_delta AS write_time
FROM pmk.pmk_snapshot_datanode_stat dns, snap s
WHERE dns.snapshot_id = s.snapshot_id
AND UPPER(node_name) = l_node_name
)
ORDER BY node_name, stat_collect_time;
END IF; -- end of l_node_name = 'ALL'
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_cpu_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_session_cpu_time bigint
, OUT o_mppdb_cpu_time bigint
, OUT o_mppdb_cpu_time_perc numeric(5, 2)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF RECORD
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'), UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_time_stat0 AS
( SELECT sessid, stat_name
, (value/1000.0)::numeric AS stat_value
-- converting to millisecond
FROM gs_session_time
WHERE stat_name
IN ( ''CPU_TIME'', ''EXECUTION_TIME'')
)
, sess_time_stat AS
( SELECT DISTINCT stso.sessid
, (SELECT stsi.stat_value FROM sess_time_stat0
stsi WHERE stsi.sessid = stso.sessid
AND stsi.stat_name = ''CPU_TIME'')
AS session_cpu_time
, (SELECT stsi.stat_value FROM sess_time_stat0
stsi WHERE stsi.sessid = stso.sessid
AND stsi.stat_name = ''EXECUTION_TIME'')
AS session_sql_time
FROM sess_time_stat0 stso
)
, mppdb_cpu_time AS
( SELECT (total_cpu()*10.0)::bigint
AS mppdb_cpu_time -- converting to millisecond
FROM DUAL
)
, sess_cpu_stat AS
( SELECT ''' || i.node_name || '''::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'', a.backend_start)
::timestamp AS session_start_time
, date_trunc(''second'', a.xact_start)
::timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, ROUND(st.session_cpu_time)::bigint
AS session_cpu_time
, m.mppdb_cpu_time
, ( (st.session_cpu_time * 100.0)
/ NULLIF(m.mppdb_cpu_time, 0) )::numeric(5, 2)
AS mppdb_cpu_time_perc
, st.sessid
, st.session_sql_time
FROM pg_stat_activity a
, sess_time_stat st
, mppdb_cpu_time m
WHERE a.state IN (''active'',
''fastpath function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.session_cpu_time DESC
, mppdb_cpu_time_perc DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT scs.node_name
, scs.db_name
, scs.user_name
, scs.client_hostname
, scs.session_start_time
, scs.xact_start_time
, scs.waiting
, scs.state
, scs.query
, scs.session_cpu_time
, scs.mppdb_cpu_time
, scs.mppdb_cpu_time_perc
, ( scs.session_sql_time
/ NULLIF(ss.value, 0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_cpu_stat scs
, gs_session_stat ss
WHERE ss.sessid = scs.sessid
AND ss.statname = ''n_sql''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_memory_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_session_total_memory_size bigint
, OUT o_session_used_memory_size bigint
, OUT o_buffer_hits bigint
, OUT o_disk_reads bigint
, OUT o_session_buffer_hit_ratio numeric(5, 2)
, OUT o_sorts_in_memory bigint
, OUT o_sorts_in_disk bigint
, OUT o_session_memory_sort_ratio numeric(5, 2)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'),
UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_memory_usage AS
( SELECT sessid
, SUM(totalsize)::bigint AS totalsize
, SUM(usedsize)::bigint AS usedsize
FROM gs_session_memory_detail
GROUP BY sessid
)
, sess_stat0 AS
( SELECT ss.sessid
, ss.statname AS statname
, ss.value AS statvalue
FROM sess_memory_usage st, gs_session_stat ss
WHERE ss.sessid = st.sessid
AND ss.statname IN ( ''n_blocks_fetched''
, ''n_shared_blocks_read''
, ''n_local_blocks_read''
, ''n_sort_in_disk''
, ''n_sort_in_memory''
, ''n_sql'' )
)
, sess_stat1 AS
( SELECT oss.sessid
, oss.totalsize
, oss.usedsize
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = oss.sessid AND iss.statname =
''n_blocks_fetched'') AS total_reads
, (SELECT statvalue FROM sess_stat0 iss
WHERE iss.sessid = oss.sessid AND iss.statname =
''n_shared_blocks_read'') AS disk_to_shared_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_local_blocks_read'') AS disk_to_local_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_sort_in_disk'') AS sorts_in_disk
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid AND iss.statname =
''n_sort_in_memory'') AS sorts_in_memory
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = oss.sessid
AND iss.statname = ''n_sql'') AS sql_count
FROM sess_memory_usage oss
)
, sess_stat AS
( SELECT ss.sessid
, ss.totalsize
, ss.usedsize
, ss.total_reads
, (ss.disk_to_shared_buffer +
ss.disk_to_local_buffer) AS disk_reads
, (ss.total_reads - (ss.disk_to_shared_buffer
+ ss.disk_to_local_buffer)) AS buffer_hits
, sorts_in_disk
, sorts_in_memory
, sql_count
FROM sess_stat1 ss
)
, sess_memory_stat AS
( SELECT ''' || i.node_name || '''::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'', a.backend_start)
::timestamp AS session_start_time
, date_trunc(''second'', a.xact_start)
::timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, st.totalsize AS session_total_memory_size
, st.usedsize AS session_used_memory_size
, st.buffer_hits, st.disk_reads
, ( (st.buffer_hits * 100.0)
/ NULLIF(st.total_reads, 0) )::numeric(5, 2)
AS session_buffer_hit_ratio
, st.sorts_in_memory, st.sorts_in_disk
, ( (st.sorts_in_memory * 100.0)
/ NULLIF(st.sorts_in_memory + st.sorts_in_disk,
0) )::numeric(5, 2) AS session_memory_sort_ratio
, st.sessid
, st.sql_count
FROM pg_stat_activity a
, sess_stat st
WHERE a.state IN (''active'', ''fastpath
function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.totalsize DESC
, st.usedsize DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT sms.node_name
, sms.db_name
, sms.user_name
, sms.client_hostname
, sms.session_start_time
, sms.xact_start_time
, sms.waiting
, sms.state
, sms.query
, sms.session_total_memory_size
, sms.session_used_memory_size
, sms.buffer_hits
, sms.disk_reads
, sms.session_buffer_hit_ratio
, sms.sorts_in_memory
, sms.sorts_in_disk
, sms.session_memory_sort_ratio
, ( ss.value / (NULLIF(sms.sql_count, 0)
* 1000.0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_memory_stat sms
, gs_session_time ss
WHERE ss.sessid = sms.sessid
AND ss.stat_name = ''EXECUTION_TIME''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.get_session_io_stat
( IN i_node_name text
, IN i_top_n_sessions smallint
, OUT o_node_name name
, OUT o_db_name name
, OUT o_user_name name
, OUT o_client_hostname text
, OUT o_session_start_time timestamp
, OUT o_xact_start_time timestamp
, OUT o_waiting boolean
, OUT o_state text
, OUT o_query text
, OUT o_disk_reads bigint
, OUT o_read_time bigint
, OUT o_avg_read_per_sec numeric(20, 2)
, OUT o_avg_read_time numeric(20, 3)
, OUT o_avg_sql_exec_time numeric(15, 3)
)
RETURNS SETOF record
AS
$$
DECLARE l_node_query text;
l_execute_query text;
BEGIN
FOR i IN ( SELECT node_name
FROM DBE_PERF.node_name nl
WHERE UPPER(nl.node_name) =
COALESCE(NULLIF(UPPER(i_node_name), 'ALL'),
UPPER(nl.node_name))
)
LOOP
l_node_query := 'WITH sess_stat0 AS
( SELECT ss.sessid
, ss.statname AS statname
, ss.value AS statvalue
FROM gs_session_stat ss
WHERE ss.statname IN ( ''n_shared_blocks_read''
, ''n_local_blocks_read''
, ''n_blocks_read_time''
, ''n_sql'' )
)
, sess_stat1 AS
( SELECT DISTINCT ss.sessid
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = ss.sessid AND iss.statname =
''n_shared_blocks_read'') AS disk_to_shared_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = ss.sessid AND iss.statname =
''n_local_blocks_read'') AS disk_to_local_buffer
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = ss.sessid AND iss.statname =
''n_blocks_read_time'') AS read_time
, (SELECT statvalue FROM sess_stat0 iss WHERE
iss.sessid = ss.sessid AND iss.statname =
''n_sql'') AS sql_count
FROM sess_stat0 ss
)
, sess_stat AS
( SELECT ss.sessid
, (ss.disk_to_shared_buffer +
ss.disk_to_local_buffer) AS disk_reads
, ss.read_time
, ss.sql_count
FROM sess_stat1 ss
)
, sess_io_stat AS
( SELECT ''' || i.node_name ||
'''::name AS node_name
, a.datname::name AS db_name
, a.usename::name AS user_name
, a.client_hostname
, date_trunc(''second'',
a.backend_start)::timestamp AS session_start_time
, date_trunc(''second'',
a.xact_start)::timestamp AS xact_start_time
, a.waiting
, a.state, a.query
, st.disk_reads
, st.read_time
, ( st.disk_reads * 1000000.0
/ NULLIF(st.read_time, 0) )::numeric(20,2)
AS avg_read_per_sec
, ( st.read_time * 1.0
/ NULLIF(st.disk_reads, 0) )::numeric(20,3)
AS avg_read_time
, st.sessid
, st.sql_count
FROM pg_stat_activity a
, sess_stat st
WHERE a.state IN (''active'',
''fastpath function call'', ''retrying'')
AND a.pid = sessionid2pid(st.sessid::cstring)
ORDER BY st.disk_reads DESC
, st.read_time DESC
LIMIT ' || i_top_n_sessions || '
)
SELECT sios.node_name
, sios.db_name
, sios.user_name
, sios.client_hostname
, sios.session_start_time
, sios.xact_start_time
, sios.waiting
, sios.state
, sios.query
, sios.disk_reads
, sios.read_time
, sios.avg_read_per_sec
, sios.avg_read_time
, ( ss.value / (NULLIF(sios.sql_count, 0)
* 1000.0) )::numeric(15, 3)
AS avg_sql_exec_time
FROM sess_io_stat sios
, gs_session_time ss
WHERE ss.sessid = sios.sessid
AND ss.stat_name = ''EXECUTION_TIME''';
RETURN QUERY
EXECUTE l_node_query;
END LOOP;
END;
$$
LANGUAGE plpgsql;""",
"""CREATE OR REPLACE FUNCTION pmk.insertBaseValue()
RETURNS TEXT
AS
$$
DECLARE l_configuration_count_value INT;
l_meta_data_count_value INT;
l_version_string varchar(128);
l_result varchar(128);
BEGIN
SELECT count(config_param_name)
INTO l_configuration_count_value
FROM pmk.pmk_configuration
WHERE config_param_name IN ('Collection Count', 'Enable PMK');
IF l_configuration_count_value != 2
THEN
DELETE FROM pmk.pmk_configuration;
INSERT INTO pmk.pmk_configuration(config_param_name, config_value)
VALUES ('Collection Count', '9'), ('Enable PMK', 'TRUE');
END IF;
SELECT count(pmk_version)
INTO l_meta_data_count_value
FROM pmk.pmk_meta_data;
SELECT substring(version() from '[a-zA-Z0-9 ]* [0-9]+\.[0-9]+\.[0-9]+')
INTO l_version_string;
l_result := l_version_string;
IF l_meta_data_count_value < 1
THEN
INSERT INTO pmk.pmk_meta_data (pmk_version, last_snapshot_id,
last_snapshot_collect_time) VALUES (l_result, NULL, NULL);
END IF;
RETURN NULL;
END;
$$
LANGUAGE plpgsql;""", """
SELECT pmk.insertBaseValue();""", """
analyze pmk.pmk_configuration;""", """
analyze pmk.pmk_snapshot;""", """
analyze pmk.pmk_snapshot_datanode_stat;""", """
analyze pmk.pmk_meta_data;"""]
TEST_PMK = """
DECLARE
pmk_oid oid;
class_count int;
proc_count int;
BEGIN
--if pmk schema not exist, it will raise an error.
select oid from pg_namespace where nspname='pmk' into pmk_oid;
select count(*) from pg_class where relnamespace=pmk_oid into class_count;
select count(*) from pg_proc where pronamespace=pmk_oid into proc_count;
raise exception 'pmk schema exist. class count is %, proc count is %.',
class_count , proc_count;
END;
"""
dnquerySql = ""
dnquerySql += "SELECT node_name, COALESCE(pns.physical_reads, 0), " \
"COALESCE(pns.physical_writes, 0), "
dnquerySql += "COALESCE(pns.read_time, 0), COALESCE(pns.write_time, 0), " \
"COALESCE(pns.xact_commit, 0), "
dnquerySql += "COALESCE(pns.xact_rollback, 0), " \
"COALESCE(pns.checkpoints_timed, 0)," \
" COALESCE(pns.checkpoints_req, 0), "
dnquerySql += "COALESCE(pns.checkpoint_write_time, 0), " \
"COALESCE(pns.blocks_read, 0), " \
"COALESCE(pns.blocks_hit, 0), "
dnquerySql += "COALESCE(pns.busy_time, 0), " \
"COALESCE(pns.idle_time, 0), " \
"COALESCE(pns.iowait_time, 0), "
dnquerySql += "COALESCE(pns.db_cpu_time, 0) FROM " \
"pmk.pmk_snapshot_datanode_stat pns "
dnquerySql += "WHERE pns.snapshot_id = %s"
totalSql = {
"getMetaData": "SELECT l_pmk_curr_collect_start_time, "
"l_pmk_last_collect_start_time, l_last_snapshot_id "
"FROM pmk.get_meta_data();",
"deleteSnapShots": "SELECT * FROM pmk.delete_expired_snapshots();",
"getRedistributeRate": "set statement_timeout = 20000;select name,value "
"from public.redis_progress where name in "
"('Bytes Done', 'Bytes Left');",
"getNodeStatDN": dnquerySql,
"checkTransactionReadonly": "show default_transaction_read_only;"
}
| 40.836045 | 94 | 0.517604 | 26,391 | 230,887 | 4.097836 | 0.017506 | 0.019233 | 0.0464 | 0.021961 | 0.983929 | 0.983273 | 0.982755 | 0.982274 | 0.982274 | 0.98146 | 0 | 0.012697 | 0.42966 | 230,887 | 5,653 | 95 | 40.843269 | 0.808557 | 0.002867 | 0 | 0.834022 | 0 | 0 | 0.978396 | 0.147476 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
ef7271a72ac69eb71633eb0bddc276089f79bdb5 | 5,080 | py | Python | PyCommon/modules/Optimization/test_csEQP.py | hpgit/HumanFoot | f9a1a341b7c43747bddcd5584b8c98a0d1ac2973 | [
"Apache-2.0"
] | null | null | null | PyCommon/modules/Optimization/test_csEQP.py | hpgit/HumanFoot | f9a1a341b7c43747bddcd5584b8c98a0d1ac2973 | [
"Apache-2.0"
] | null | null | null | PyCommon/modules/Optimization/test_csEQP.py | hpgit/HumanFoot | f9a1a341b7c43747bddcd5584b8c98a0d1ac2973 | [
"Apache-2.0"
] | 1 | 2021-07-26T15:13:55.000Z | 2021-07-26T15:13:55.000Z | import psyco; psyco.full()
from fltk import *
import numpy as np
import numpy.linalg as npl
import sys
sys.path.append('..')
import Optimization.csEQP as ceq
import Math.mmMath as mm
def test_basic():
# minimize : f(x,y) = x^2 + y^2 + z^2
# subject to : x + y + z = 1
p = ceq.EQP(3, 1)
p.addSquaredTerm(1, (0,), (1., 0.))
p.addSquaredTerm(1, (1,), (1., 0.))
p.addSquaredTerm(1, (2,), (1., 0.))
p.addConstraint((0,1,2), (1,1,1,-1))
r = p.solve()
print r
def test_constraint_num():
# minimize : f(x,y) = x^2 + y^2 + z^2
# subject to : x + y = 1
# y + z = 1
# x + z = 1
p = ceq.EQP(3, 3)
p.addSquaredTerm(1, (0,), (1., 0.))
p.addSquaredTerm(1, (1,), (1., 0.))
p.addSquaredTerm(1, (2,), (1., 0.))
p.addConstraint((0,1), (1,1,-1))
p.addConstraint((1,2), (1,1,-1))
p.addConstraint((0,2), (1,1,-1))
r = p.solve()
print r
# subject to : x + y = 1
# y + z = 1
p.clearConstraints()
p.addConstraint((0,1), (1,1,-1))
p.addConstraint((1,2), (1,1,-1))
p.addConstraint((0,2), (0,0,-1))
r = p.solve()
print r
# subject to : x + y = 1
# y + z = 1
p.clearConstraints()
p.setConstraintNum(2)
p.addSquaredTerm(1, (0,), (1., 0.))
p.addSquaredTerm(1, (1,), (1., 0.))
p.addSquaredTerm(1, (2,), (1., 0.))
p.addConstraint((0,1), (1,1,-1))
p.addConstraint((1,2), (1,1,-1))
r = p.solve()
print r
def test_constraint_rank():
# subject to : x + y = 1
# x + 2y = 0
# x + 3y = 0
p = ceq.EQP(3, 3)
p.addSquaredTerm(1, (0,), (1., 0.))
p.addSquaredTerm(1, (1,), (1., 0.))
p.addSquaredTerm(1, (2,), (1., 0.))
p.addConstraint2((0,1), (1,1), -1)
p.addConstraint2((0,1), (1,2), 0)
p.addConstraint2((0,1), (1,3), 0)
r = p.solve()
print r
p.clearConstraints()
p.addConstraint2((0,1), (1,3), 0)
p.addConstraint2((0,1), (1,1), -1)
p.addConstraint2((0,1), (1,2), 0)
r = p.solve()
print r
A = np.array([[1,1],
[1,2],
[1,3]])
print mm.matrixrank(A)
def test_EQP3():
p = ceq.EQP(6, 6)
p.addSquaredTerm(1, (0,), (1., 0.))
p.addSquaredTerm(1, (1,), (1., 0.))
p.addSquaredTerm(1, (2,), (1., 9.7371072735721125))
p.addSquaredTerm(1, (3,), (1., 0.))
p.addSquaredTerm(1, (4,), (1., 0.))
p.addSquaredTerm(1, (5,), (1., -9.7371072735721196))
p.addConstraint2((0,1,2,3,4,5), [ 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 5.0000e-01], -14.142135623730951)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.3450e-05 , 0.0000e+00 , 0.0000e+00 , -2.5080e-04] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ -1.0000e+00 , -1.3450e-05 , 0.0000e+00 , -5.0000e-01 , 2.5080e-04 , 0.0000e+00], 0.0)
r = p.solve()
print r
p.clearConstraints()
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 5.0000e-01], -14.142135623730951)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.3450e-05 , 0.0000e+00 , 0.0000e+00 , -2.5080e-04] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ -1.0000e+00 , -1.3450e-05 , 0.0000e+00 , -5.0000e-01 , 2.5080e-04 , 0.0000e+00], 0.0)
p.addConstraint2((0,1,2,3,4,5), [ 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00] ,0.0)
p.addConstraint2((0,1,2,3,4,5), [ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00] ,0.0)
r = p.solve()
print r
A = np.array([[ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 5.0000e-01],
[ 0.0000e+00 , 0.0000e+00 , 1.3450e-05 , 0.0000e+00 , 0.0000e+00 , -2.5080e-04] ,
[ -1.0000e+00 , -1.3450e-05 , 0.0000e+00 , -5.0000e-01 , 2.5080e-04 , 0.0000e+00],
[ 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00] ,
[ 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00] ,
[ 0.0000e+00 , 0.0000e+00 , 1.0000e+00 , 0.0000e+00 , 0.0000e+00 , 1.0000e+00]])
print mm.matrixrank(A)
print npl.det(A)
pass
#test_basic()
#test_constraint_num()
test_constraint_rank()
#test_EQP3() | 38.484848 | 143 | 0.49626 | 876 | 5,080 | 2.864155 | 0.078767 | 0.251096 | 0.210442 | 0.243523 | 0.851335 | 0.831407 | 0.826624 | 0.818254 | 0.81666 | 0.799123 | 0 | 0.306027 | 0.281496 | 5,080 | 132 | 144 | 38.484848 | 0.38137 | 0.088386 | 0 | 0.645833 | 0 | 0 | 0.000446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.010417 | 0.072917 | null | null | 0.114583 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
efb65f73851b7bfbaf9b5fd1b4e2de02617d769e | 414 | py | Python | VSCode_work/chapter3/chapter3_3_4.py | syncccc/Python-Crash-Course | 51fe429dd606583a790f3c1603bb3439382c09e0 | [
"MIT"
] | 1 | 2021-08-15T15:58:21.000Z | 2021-08-15T15:58:21.000Z | VSCode_work/chapter3/chapter3_3_4.py | syncccc/Python-Crash-Course | 51fe429dd606583a790f3c1603bb3439382c09e0 | [
"MIT"
] | null | null | null | VSCode_work/chapter3/chapter3_3_4.py | syncccc/Python-Crash-Course | 51fe429dd606583a790f3c1603bb3439382c09e0 | [
"MIT"
] | null | null | null | # 创建列表
invited_persons = ['dad','mother','sister','cui ping']
# 打印邀请消息
print("Dear " + invited_persons[0].title() + "," + " can you have dinner with me?")
print("\nDear " + invited_persons[1].title() + "," + " can you have dinner with me?")
print("\nDear " + invited_persons[2].title() + "," + " can you have dinner with me?")
print("\nDear " + invited_persons[3].title() + "," + " can you have dinner with me?")
| 46 | 85 | 0.623188 | 57 | 414 | 4.438596 | 0.403509 | 0.27668 | 0.173913 | 0.237154 | 0.711462 | 0.711462 | 0.711462 | 0.604743 | 0.604743 | 0.604743 | 0 | 0.011461 | 0.157005 | 414 | 8 | 86 | 51.75 | 0.713467 | 0.02657 | 0 | 0 | 0 | 0 | 0.4225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.8 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
efdf4c077d581272a12b253cf324c168047b6575 | 281,885 | py | Python | vaspvis/standard.py | songsr/vaspvis | e59c1ae88621999c52bf2f7f2f53b13340397081 | [
"MIT"
] | 1 | 2021-01-27T18:22:44.000Z | 2021-01-27T18:22:44.000Z | vaspvis/standard.py | songsr/vaspvis | e59c1ae88621999c52bf2f7f2f53b13340397081 | [
"MIT"
] | null | null | null | vaspvis/standard.py | songsr/vaspvis | e59c1ae88621999c52bf2f7f2f53b13340397081 | [
"MIT"
] | null | null | null | """
This module contains standardized plots as well as more complex plots,
such as band structures and density of states put together, and spin
projected plots.
"""
from vaspvis.band import Band
from vaspvis.dos import Dos
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
import time
def _figure_setup(ax, fontsize=6, ylim=[-6, 6]):
ax.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax.set_ylim(ylim[0], ylim[1])
ax.tick_params(labelsize=fontsize, length=2.5)
ax.tick_params(axis='x', length=0)
def _figure_setup_dos(ax, fontsize=6, energyaxis='y'):
ax.tick_params(labelsize=fontsize, length=2.5)
if energyaxis == 'y':
ax.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax.set_xlabel('Density of States', fontsize=fontsize)
if energyaxis == 'x':
ax.set_xlabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax.set_ylabel('Density of States', fontsize=fontsize)
def _figure_setup_band_dos(ax, fontsize, ylim):
ax1 = ax[0]
ax2 = ax[1]
ax2.tick_params(axis='y', length=0)
ax2.tick_params(axis='x', length=0, labelsize=fontsize)
ax2.set_xlabel('Density of States', fontsize=fontsize)
ax1.tick_params(labelsize=fontsize)
ax1.tick_params(axis='x', length=0)
ax1.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax1.set_xlabel('Wave Vector', fontsize=fontsize)
ax1.set_ylim(ylim[0], ylim[1])
return ax1, ax2
def _figure_setup_band_dos_spin_polarized(ax, fontsize, ylim):
ax_band_up = ax[0, 0]
ax_dos_up = ax[0, 1]
ax_band_down = ax[1, 0]
ax_dos_down = ax[1, 1]
ax_dos_up.tick_params(axis='y', length=0)
ax_dos_up.tick_params(axis='x', length=0,
labelsize=fontsize, labelbottom=False)
ax_band_up.tick_params(labelsize=fontsize)
ax_band_up.tick_params(axis='x', length=0, labelbottom=False)
ax_band_up.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax_band_up.set_ylim(ylim[0], ylim[1])
ax_dos_down.tick_params(axis='y', length=0)
ax_dos_down.tick_params(axis='x', length=0, labelsize=fontsize)
ax_dos_down.set_xlabel('Density of States', fontsize=fontsize)
ax_band_down.tick_params(labelsize=fontsize)
ax_band_down.tick_params(axis='x', length=0)
ax_band_down.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax_band_down.set_xlabel('Wave Vector', fontsize=fontsize)
ax_band_down.set_ylim(ylim[0], ylim[1])
return ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def _figure_setup_layer_dos(ax, fontsize=6, energyaxis='y'):
ax.tick_params(labelsize=fontsize)
if energyaxis == 'y':
ax.set_ylabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax.set_xlabel('Layers', fontsize=fontsize)
if energyaxis == 'x':
ax.set_xlabel('$E - E_{F}$ $(eV)$', fontsize=fontsize)
ax.set_ylabel('Layers', fontsize=fontsize)
def band_plain(
folder,
output='band_plain.png',
spin='up',
color='black',
linewidth=1.25,
linestyle='-',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
scale_factor=20,
save=True,
):
"""
This function generates a plain band structure
Parameters:
folder (str): This is the folder that contains the VASP files
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
color (str): Color of the band structure lines
linewidth (float): Line width of the band structure lines
linestyle (str): Line style of the bands
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_plain(
ax=ax,
color=color,
linewidth=linewidth,
linestyle=linestyle,
erange=erange,
scale_factor=scale_factor,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_spd(
folder,
output='band_spd.png',
spin='up',
scale_factor=6,
orbitals='spd',
display_order=None,
color_dict=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a s, p, d projected band structure.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_spd(
ax=ax,
scale_factor=scale_factor,
orbitals=orbitals,
erange=erange,
display_order=display_order,
color_dict=color_dict,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_atom_orbitals(
folder,
atom_orbital_dict,
output='band_atom_orbitals.png',
spin='up',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a projected band structure on specific [atom, orbital] pairs.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_atom_orbitals(
ax=ax,
atom_orbital_dict=atom_orbital_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_orbitals(
folder,
orbitals,
output='band_orbital.png',
spin='up',
scale_factor=6,
display_order=None,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a projected band structure on specific orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_orbitals(
ax=ax,
orbitals=orbitals,
scale_factor=scale_factor,
erange=erange,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_atoms(
folder,
atoms,
output='band_atoms.png',
spin='up',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a projected band structure on specific atoms in the POSCAR.
Parameters:
folder (str): This is the folder that contains the VASP files
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_atoms(
ax=ax,
atoms=atoms,
scale_factor=scale_factor,
color_list=color_list,
display_order=display_order,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_atom_spd(
folder,
atom_spd_dict,
output='band_atom_spd.png',
spin='up',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a s, p, d projected band structure on specific atoms.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals corresponding
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_atom_spd(
ax=ax,
atom_spd_dict=atom_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_elements(
folder,
elements,
output='band_elements.png',
spin='up',
scale_factor=6,
display_order=None,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a projected band structure on specific elements.
Parameters:
folder (str): This is the folder that contains the VASP files
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_elements(
ax=ax,
elements=elements,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_element_orbitals(
folder,
element_orbital_dict,
output='band_element_orbital.png',
spin='up',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a projected band structure on orbitals of specific elements.
Parameters:
folder (str): This is the folder that contains the VASP files
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_element_orbitals(
ax=ax,
element_orbital_dict=element_orbital_dict,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_element_spd(
folder,
element_spd_dict,
output='band_element_spd.png',
spin='up',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a s, p, d projected band structure on specific elements.
Parameters:
folder (str): This is the folder that contains the VASP files
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
band = Band(
folder=folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band.plot_element_spd(
ax=ax,
element_spd_dict=element_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_plain_spin_polarized(
folder,
output='band_plain_sp.png',
up_color='black',
down_color='red',
linewidth=1.25,
up_linestyle='-',
down_linestyle=':',
figsize=(4, 3),
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates a plain spin polarized band structure.
Parameters:
folder (str): This is the folder that contains the VASP files
output (str): File name of the resulting plot.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
fig = plt.figure(figsize=(figsize), dpi=400)
ax = fig.add_subplot(111)
_figure_setup(ax=ax, fontsize=fontsize, ylim=[erange[0], erange[1]])
band_up.plot_plain(
ax=ax,
color=up_color,
linewidth=linewidth,
linestyle=up_linestyle,
erange=erange,
)
band_down.plot_plain(
ax=ax,
color=down_color,
linewidth=linewidth,
linestyle=down_linestyle,
erange=erange,
)
legend_lines = [
plt.Line2D(
[0],
[0],
color=up_color,
linestyle=up_linestyle
),
plt.Line2D(
[0],
[0],
color=down_color,
linestyle=down_linestyle
)
]
legend_labels = ['$\\uparrow$', '$\\downarrow$']
ax.legend(
legend_lines,
legend_labels,
ncol=1,
loc='upper left',
fontsize=fontsize,
bbox_to_anchor=(1, 1),
borderaxespad=0,
frameon=False,
handletextpad=0.1,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def band_spd_spin_polarized(
folder,
output='band_spd_sp.png',
scale_factor=2,
orbitals='spd',
display_order=None,
color_dict=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
fontsize=7,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.02, 0.98),
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
save=True,
):
"""
This function generates a spin polarized s, p, d projected band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax1.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
ax2.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
band_up.plot_spd(
ax=ax1,
scale_factor=scale_factor,
orbitals=orbitals,
erange=erange,
display_order=display_order,
color_dict=color_dict,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
band_down.plot_spd(
ax=ax2,
scale_factor=scale_factor,
orbitals=orbitals,
erange=erange,
display_order=display_order,
color_dict=color_dict,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_atom_orbitals_spin_polarized(
folder,
atom_orbital_dict,
output='band_atom_orbitals_sp.png',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
fontsize=7,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.02, 0.98),
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
save=True,
):
"""
This function generates an atom orbital spin polarized band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax1.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
ax2.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
band_up.plot_atom_orbitals(
ax=ax1,
atom_orbital_dict=atom_orbital_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
band_down.plot_atom_orbitals(
ax=ax2,
atom_orbital_dict=atom_orbital_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_orbitals_spin_polarized(
folder,
orbitals,
output='band_orbitals_sp.png',
scale_factor=6,
display_order=None,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates an orbital spin polarized band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle="round", fc="white")
ax1.annotate(
'$\\uparrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
ax2.annotate(
'$\\downarrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
band_up.plot_orbitals(
ax=ax1,
orbitals=orbitals,
scale_factor=scale_factor,
erange=erange,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
band_down.plot_orbitals(
ax=ax2,
orbitals=orbitals,
scale_factor=scale_factor,
erange=erange,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_atoms_spin_polarized(
folder,
atoms,
output='band_atoms_sp.png',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates an atom spin polarized band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle="round", fc="white")
ax1.annotate(
'$\\uparrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
ax2.annotate(
'$\\downarrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
band_up.plot_atoms(
ax=ax1,
atoms=atoms,
scale_factor=scale_factor,
color_list=color_list,
display_order=display_order,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
band_down.plot_atoms(
ax=ax2,
atoms=atoms,
scale_factor=scale_factor,
color_list=color_list,
display_order=display_order,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_atom_spd_spin_polarized(
folder,
atom_spd_dict,
output='band_atoms_spd_sp.png',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
fontsize=7,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.02, 0.98),
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
save=True,
):
"""
This function generates a s, p, d spin polarized band structure on specific atoms. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax1.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
ax2.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
band_up.plot_atom_spd(
ax=ax1,
atom_spd_dict=atom_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
band_down.plot_atom_spd(
ax=ax2,
atom_spd_dict=atom_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_elements_spin_polarized(
folder,
elements,
output='band_elements_sp.png',
scale_factor=6,
display_order=None,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
):
"""
This function generates an element spin polarized band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle="round", fc="white")
ax1.annotate(
'$\\uparrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
ax2.annotate(
'$\\downarrow$',
xy=(0.02, 0.98),
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
)
band_up.plot_elements(
ax=ax1,
elements=elements,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
band_down.plot_elements(
ax=ax2,
elements=elements,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=0.5,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_element_orbital_spin_polarized(
folder,
element_orbital_dict,
output='band_element_orbital_sp.png',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
fontsize=7,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.02, 0.98),
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
save=True,
):
"""
This function generates an element orbital spin polarized band structure. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax1.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
ax2.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
band_up.plot_element_orbitals(
ax=ax1,
element_orbital_dict=element_orbital_dict,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
band_down.plot_element_orbitals(
ax=ax2,
element_orbital_dict=element_orbital_dict,
scale_factor=scale_factor,
display_order=display_order,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_element_spd_spin_polarized(
folder,
element_spd_dict,
output='band_elements_spd_sp.png',
display_order=None,
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
fontsize=7,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.02, 0.98),
figsize=(4, 3),
erange=[-6, 6],
stack='vertical',
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
save=True,
):
"""
This function generates a s, p, d spin polarized band structure on specific elements. This will plot two plots
stacked on top or eachother or next to eachother. The top or left plot will project on the
spin up bands and the bottom or right plot will project onto the spin down bands.
Parameters:
folder (str): This is the folder that contains the VASP files
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot.
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
stack (str): Determines how the plots are stacked (vertical or horizontal)
linewidth (float): Line width of the plain band structure plotted in the background.
band_color (string): Color of the plain band structure.
figsize (list / tuple): Desired size of the image in inches. (width, height)
erange (list / tuple): Range of energy to show in the plot. [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing. (fig, ax1, ax2)
"""
band_up = Band(
folder=folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
if stack == 'vertical':
fig = plt.figure(figsize=(figsize[0], 2 * figsize[1]), dpi=400)
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
elif stack == 'horizontal':
fig = plt.figure(figsize=(2 * figsize[0], figsize[1]), dpi=400)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
_figure_setup(ax=ax1, fontsize=fontsize, ylim=[erange[0], erange[1]])
_figure_setup(ax=ax2, fontsize=fontsize, ylim=[erange[0], erange[1]])
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax1.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
ax2.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize,
)
band_up.plot_element_spd(
ax=ax1,
element_spd_dict=element_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_down.plot_plain(
ax=ax1,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
band_down.plot_element_spd(
ax=ax2,
element_spd_dict=element_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=legend,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
band_up.plot_plain(
ax=ax2,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
# =============================================================
# -------------------- Density of States ----------------------
# =============================================================
def dos_plain(
folder,
output='dos_plain.png',
linewidth=1.5,
fill=True,
alpha=0.3,
sigma=0.05,
energyaxis='x',
color='black',
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the total density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color (list): Color of plot and fill.
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_plain(
ax=ax,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis=energyaxis,
color=color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_ldos(
folder,
layers,
output='dos_ldos.png',
linewidth=1.5,
fill=True,
alpha=0.3,
sigma=0.05,
energyaxis='x',
color='black',
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the local density of states for atomic layers. Useful for comparing
to STS measurments.
Parameters:
folder (str): This is the folder that contains the VASP files
layers (list): List of atomic layers to include in the ldos plot. 0 = first layer
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color (list): Color of plot and fill.
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_ldos(
ax=ax,
layers=layers,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis=energyaxis,
color=color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_spd(
folder,
output='dos_spd.png',
orbitals='spd',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_dict=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots an s, p, d projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_spd(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_dict=color_dict,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atom_orbitals(
folder,
atom_orbital_dict,
output='dos_atom_orbitals.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the orbital projected density of states on specific atoms.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_atom_orbitals(
ax=ax,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_orbitals(
folder,
orbitals,
output='dos_orbitals.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the orbital projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_orbitals(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atoms(
folder,
atoms,
output='dos_atoms.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the atom projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_atoms(
ax=ax,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atom_spd(
folder,
atom_spd_dict,
output='dos_atom_spd.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the atom projected density of states of the s, p, and d orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_atom_spd(
ax=ax,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_elements(
folder,
elements,
output='dos_elements.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the element projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_elements(
ax=ax,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_element_spd(
folder,
element_spd_dict,
output='dos_element_spd.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the element projected density of states of the s, p, and d orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_element_spd(
ax=ax,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_element_orbitals(
folder,
element_orbital_dict,
output='dos_element_orbitals.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
spin='up',
combination_method='add',
fontsize=7,
save=True,
):
"""
This function plots the element projected density of states on specific orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos.plot_element_orbitals(
ax=ax,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_plain_spin_polarized(
folder,
output='dos_plain_sp.png',
linewidth=1.5,
fill=True,
alpha=0.3,
sigma=0.05,
energyaxis='x',
color='black',
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots the spin polarized total density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color (str): Color of plot and fill.
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_plain(
ax=ax,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis=energyaxis,
color=color,
erange=erange,
)
dos_down.plot_plain(
ax=ax,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis=energyaxis,
color=color,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_spd_spin_polarized(
folder,
output='dos_spd_sp.png',
orbitals='spd',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_dict=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized s, p, d projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_spd(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_dict=color_dict,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_spd(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_dict=color_dict,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atom_orbitals_spin_polarized(
folder,
atom_orbital_dict,
output='dos_atom_orbitals_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='y',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized orbital projected density of states on specific atoms.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_atom_orbitals(
ax=ax,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_atom_orbitals(
ax=ax,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_orbitals_spin_polarized(
folder,
orbitals,
output='dos_orbitals_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='y',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized orbital projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_orbitals(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_orbitals(
ax=ax,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atoms_spin_polarized(
folder,
atoms,
output='dos_atoms_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='y',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized atom projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_atoms(
ax=ax,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_atoms(
ax=ax,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_atom_spd_spin_polarized(
folder,
atom_spd_dict,
output='dos_atom_spd_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized atom projected density of states of the s, p, and d orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_atom_spd(
ax=ax,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_atom_spd(
ax=ax,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_elements_spin_polarized(
folder,
elements,
output='dos_elements_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='y',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized element projected density of states.
Parameters:
folder (str): This is the folder that contains the VASP files
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_elements(
ax=ax,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_elements(
ax=ax,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_element_spd_spin_polarized(
folder,
element_spd_dict,
output='dos_element_spd_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='x',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized element projected density of states of the s, p, and d orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_element_spd(
ax=ax,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_element_spd(
ax=ax,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
def dos_element_orbitals_spin_polarized(
folder,
element_orbital_dict,
output='dos_element_orbitals_sp.png',
fill=True,
alpha=0.3,
linewidth=1.5,
sigma=0.05,
energyaxis='y',
color_list=None,
legend=True,
total=True,
figsize=(4, 3),
erange=[-6, 6],
fontsize=7,
save=True,
):
"""
This function plots a spin polarized element projected density of states on specific orbitals.
Parameters:
folder (str): This is the folder that contains the VASP files
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
linewidth (float): Linewidth of lines
sigma (float): Standard deviation for gaussian filter
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines whether to draw the legend or not
total (bool): Determines wheth to draw the total density of states or not
spin (str): Which spin direction to parse ('up' or 'down')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
dos_up = Dos(folder=folder, spin='up')
dos_down = Dos(folder=folder, spin='down')
fig = plt.figure(figsize=figsize, dpi=400)
ax = fig.add_subplot(111)
_figure_setup_dos(ax=ax, fontsize=fontsize, energyaxis=energyaxis)
dos_up.plot_element_orbitals(
ax=ax,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_element_orbitals(
ax=ax,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis=energyaxis,
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
plt.tight_layout(pad=0.2)
if save:
plt.savefig(output)
else:
return fig, ax
# =============================================================
# ---------------------- Band-Dos Plots -----------------------
# =============================================================
def band_dos_plain(
band_folder,
dos_folder,
output='band_dos_plain.png',
spin='up',
color='black',
linewidth=1.25,
linestyle='-',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a plain band structure and density of states next to eachother.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure calculation
dos_folder (str): This is the folder that contains the VASP files for the density of states calculation
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
color (str): Color of the band structure lines
linewidth (float): Line width of the band structure lines
linestyle (str): Line style of the bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations. This number should be
known by the user, as it was used to generate the KPOINTS file.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_plain(
ax=ax1,
color=color,
linewidth=linewidth,
linestyle=linestyle,
)
dos.plot_plain(
ax=ax2,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis='y',
color=color,
erange=erange,
)
fig.canvas.draw()
labels = ax2.get_xticklabels()
labels[0] = ''
ax2.set_xticklabels(labels)
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_spd(
band_folder,
dos_folder,
output='band_dos_spd.png',
spin='up',
scale_factor=6,
orbitals='spd',
color_dict=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a s, p, d projected band structure next to and s, p, d projected
density of states.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_spd(
ax=ax1,
scale_factor=scale_factor,
orbitals=orbitals,
erange=erange,
display_order=display_order,
color_dict=color_dict,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_spd(
ax=ax2,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_dict=color_dict,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_atom_orbitals(
band_folder,
dos_folder,
atom_orbital_dict,
output='band_dos_atom_orbitals.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates an [atom, orbital] projected band structure next to
a projected density of states of the same [atom, orbitals] pairs.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the
corresponding orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_atom_orbitals(
ax=ax1,
scale_factor=scale_factor,
atom_orbital_dict=atom_orbital_dict,
color_list=color_list,
legend=False,
erange=erange,
display_order=display_order,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_atom_orbitals(
ax=ax2,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_orbitals(
band_folder,
dos_folder,
orbitals,
output='band_dos_orbitals.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a band structure projected on specific orbitals next to a
projected density of states on the same orbitals.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_orbitals(
ax=ax1,
orbitals=orbitals,
scale_factor=scale_factor,
color_list=color_list,
erange=erange,
display_order=display_order,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_orbitals(
ax=ax2,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_atoms(
band_folder,
dos_folder,
atoms,
output='band_dos_atoms.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a projected band structure on specific atoms next to a
projected density of states on the same atoms.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_atoms(
ax=ax1,
atoms=atoms,
scale_factor=scale_factor,
color_list=color_list,
erange=erange,
display_order=display_order,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_atoms(
ax=ax2,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_atom_spd(
band_folder,
dos_folder,
atom_spd_dict,
output='band_dos_atom_spd.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a s, p, d projected band structure on specific atoms next to a
projected density of states on the s, p, d orbitals for the same atoms.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_atom_spd(
ax=ax1,
atom_spd_dict=atom_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
dos.plot_atom_spd(
ax=ax2,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_elements(
band_folder,
dos_folder,
elements,
output='band_dos_elements.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a projected band structure on specific elements next to a projected
density of states on the same elements.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_elements(
ax=ax1,
elements=elements,
scale_factor=scale_factor,
color_list=color_list,
erange=erange,
display_order=display_order,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_elements(
ax=ax2,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_element_spd(
band_folder,
dos_folder,
element_spd_dict,
output='band_dos_element_spd.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a s, p, d projected band structure on specific elements next to a
projected density of states on the s, p, d orbitals for the same elements.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_element_spd(
ax=ax1,
element_spd_dict=element_spd_dict,
display_order=display_order,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
erange=erange,
)
dos.plot_element_spd(
ax=ax2,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_element_orbitals(
band_folder,
dos_folder,
element_orbital_dict,
output='band_dos_element_orbitals.png',
spin='up',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function generates a projected band structure on orbitals of specific elements next to a
projected density of states on the same orbitals for the same elements.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
spin (str): Choose which spin direction to parse. ('up' or 'down')
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band = Band(
folder=band_folder,
spin=spin,
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos = Dos(folder=dos_folder, spin=spin)
band.plot_element_orbitals(
ax=ax1,
scale_factor=scale_factor,
element_orbital_dict=element_orbital_dict,
display_order=display_order,
erange=erange,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
dos.plot_element_orbitals(
ax=ax2,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_plain_spin_polarized(
band_folder,
dos_folder,
output='band_dos_plain_sp.png',
up_color='black',
down_color='red',
linewidth=1.25,
up_linestyle='-',
down_linestyle=':',
figsize=(6, 3),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=7,
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a plain spin polarized band structure and density of states next to eachother.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure calculation
dos_folder (str): This is the folder that contains the VASP files for the density of states calculation
output (str): File name of the resulting plot.
up_color (str): Color of the spin up band structure lines
down_color (str): Color of the spin down band structure lines
linewidth (float): Line width of the band structure lines
up_linestyle (str): Line style of the spin up bands
down_linestyle (str): Line style of the spin down bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations. This number should be
known by the user, as it was used to generate the KPOINTS file.
fontsize (float): Font size of the text in the figure.
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=1,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax1, ax2 = _figure_setup_band_dos(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=band_folder,
spin='down',
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
band_up.plot_plain(
ax=ax1,
color=up_color,
linewidth=linewidth,
linestyle=up_linestyle,
erange=erange,
)
band_down.plot_plain(
ax=ax1,
color=down_color,
linewidth=linewidth,
linestyle=down_linestyle,
erange=erange,
)
dos_up.plot_plain(
ax=ax2,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis='y',
color=up_color,
erange=erange,
)
dos_down.plot_plain(
ax=ax2,
linewidth=linewidth,
fill=fill,
alpha=alpha,
sigma=sigma,
energyaxis='y',
color=down_color,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax2.get_xticklabels())
ax2.xaxis.set_major_locator(MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0)
if save:
plt.savefig(output)
else:
return fig, ax1, ax2
def band_dos_spd_spin_polarized(
band_folder,
dos_folder,
output='band_dos_spd_sp.png',
scale_factor=6,
orbitals='spd',
color_dict=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized s, p, d projected band structure next to a spin polarized s, p, d projected
density of states. The top figure highlights the spin up bands and the bottom figure highlights the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
orbitals (str): String that contains the s, p, or d orbitals that to project onto.
The default is 'spd', if the user only wanted to project onto the p, and d orbitals
than 'pd' should be passed in
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_spd(
ax=ax_band_up,
scale_factor=scale_factor,
orbitals=orbitals,
color_dict=color_dict,
legend=False,
linewidth=linewidth,
band_color=band_color,
display_order=display_order,
erange=erange,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
dos_up.plot_spd(
ax=ax_dos_up,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_dict=color_dict,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_spd(
ax=ax_dos_up,
orbitals=orbitals,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_dict=color_dict,
legend=False,
total=True,
erange=erange,
)
band_down.plot_spd(
ax=ax_band_down,
scale_factor=scale_factor,
orbitals=orbitals,
color_dict=color_dict,
legend=False,
linewidth=linewidth,
band_color=band_color,
display_order=display_order,
erange=erange,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
dos_down.plot_spd(
ax=ax_dos_down,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_dict=color_dict,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_spd(
ax=ax_dos_down,
orbitals=orbitals,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_dict=color_dict,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_atom_orbitals_spin_polarized(
band_folder,
dos_folder,
atom_orbital_dict,
output='band_dos_atom_orbitals_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
display_order=None,
unfold=False,
M=None,
high_symm_points=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
total=True,
):
"""
This function plots a spin polarized band structure projected onto specified [atom, orbital] pairs next to a spin
polarized density of states projected onto the same [atom, orbital] pairs. The top figure highlights the spin up
bands and the bottom figure highlights the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atom_orbital_dict (dict[int:list]): A dictionary that contains the individual atoms and the
corresponding orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of the first atom and the s orbital of the second atom then the dictionary would be {0:[0,1,2,3], 1:[0]}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
unfold=unfold,
high_symm_points=high_symm_points,
kpath=kpath,
n=n,
M=M,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_atom_orbitals(
ax=ax_band_up,
scale_factor=scale_factor,
atom_orbital_dict=atom_orbital_dict,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
display_order=display_order,
erange=erange,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
dos_up.plot_atom_orbitals(
ax=ax_dos_up,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_down.plot_atom_orbitals(
ax=ax_dos_up,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
band_down.plot_atom_orbitals(
ax=ax_band_down,
scale_factor=scale_factor,
atom_orbital_dict=atom_orbital_dict,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
display_order=display_order,
erange=erange,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
erange=erange,
)
dos_down.plot_atom_orbitals(
ax=ax_dos_down,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=total,
erange=erange,
)
dos_up.plot_atom_orbitals(
ax=ax_dos_down,
atom_orbital_dict=atom_orbital_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=total,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_orbitals_spin_polarized(
band_folder,
dos_folder,
orbitals,
output='band_dos_orbitals_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized bandstructure projected onto specified orbitals next to its
corresponding density of states projected onto the same orbitals. The top figure highlights the
spin up bands and the bottom figure highlight the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
orbitals (list): List of orbitals to compare
| 0 = s
| 1 = py
| 2 = pz
| 3 = px
| 4 = dxy
| 5 = dyz
| 6 = dz2
| 7 = dxz
| 8 = dx2-y2
| 9 = fy3x2
| 10 = fxyz
| 11 = fyz2
| 12 = fz3
| 13 = fxz2
| 14 = fzx3
| 15 = fx3
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_orbitals(
ax=ax_band_up,
scale_factor=scale_factor,
orbitals=orbitals,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_orbitals(
ax=ax_dos_up,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_orbitals(
ax=ax_dos_up,
orbitals=orbitals,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_orbitals(
ax=ax_band_down,
scale_factor=scale_factor,
orbitals=orbitals,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_orbitals(
ax=ax_dos_down,
orbitals=orbitals,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_orbitals(
ax=ax_dos_down,
orbitals=orbitals,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_atoms_spin_polarized(
band_folder,
dos_folder,
atoms,
output='band_dos_atoms_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized bandstructure projected onto specified atoms in the POSCAR next
to its corresponding density of states projected onto the same atoms. The top figure highlights the
spin up bands and the bottom figure highlight the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atoms (list): List of atoms to project onto. The indices should be zero indexed (first atom is 0)
and the atoms are in the same order as they are in the POSCAR
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_atoms(
ax=ax_band_up,
scale_factor=scale_factor,
atoms=atoms,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_atoms(
ax=ax_dos_up,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_atoms(
ax=ax_dos_up,
atoms=atoms,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_atoms(
ax=ax_band_down,
scale_factor=scale_factor,
atoms=atoms,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_atoms(
ax=ax_dos_down,
atoms=atoms,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_atoms(
ax=ax_dos_down,
atoms=atoms,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_atom_spd_spin_polarized(
band_folder,
dos_folder,
atom_spd_dict,
output='band_dos_atom_spd_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized s, p, d projected band structure on a given atom next to a spin polarized
s, p, d projected density of states on the same atom. The top figure highlights the spin up bands and the bottom
figure highlights the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
atom_spd_dict (dict[int:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of the first atom and the p orbitals of the second atom then the dictionary would be {0:'spd', 1:'p'}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_atom_spd(
ax=ax_band_up,
atom_spd_dict=atom_spd_dict,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_atom_spd(
ax=ax_dos_up,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_atom_spd(
ax=ax_dos_up,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_atom_spd(
ax=ax_band_down,
atom_spd_dict=atom_spd_dict,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_atom_spd(
ax=ax_dos_down,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_atom_spd(
ax=ax_dos_down,
atom_spd_dict=atom_spd_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_elements_spin_polarized(
band_folder,
dos_folder,
elements,
output='band_dos_elements_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized bandstructure projected onto specified elements in the structure next
to its corresponding density of states projected onto the same elements. The top figure highlights the
spin up bands and the bottom figure highlight the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
elements (list): List of elements to project onto. The list should countain the corresponding element symbols
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_elements(
ax=ax_band_up,
scale_factor=scale_factor,
elements=elements,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_elements(
ax=ax_dos_up,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_elements(
ax=ax_dos_up,
elements=elements,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_elements(
ax=ax_band_down,
scale_factor=scale_factor,
elements=elements,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_elements(
ax=ax_dos_down,
elements=elements,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_elements(
ax=ax_dos_down,
elements=elements,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_element_orbitals_spin_polarized(
band_folder,
dos_folder,
element_orbital_dict,
output='band_dos_element_orbitals_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized band structure projected onto specified [element, orbital] dict next to a spin
polarized density of states projected onto the same [element, orbital] dict. The top figure highlights the spin up
bands and the bottom figure highlights the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
element_orbital_dict (dict[str:list]): A dictionary that contains the individual elements and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, py, pz, and px orbitals
of In and the s orbital of As for and InAs structure then the dictionary would be {'In':[0,1,2,3], 'As':[0]}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_element_orbitals(
ax=ax_band_up,
scale_factor=scale_factor,
element_orbital_dict=element_orbital_dict,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_element_orbitals(
ax=ax_dos_up,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_element_orbitals(
ax=ax_dos_up,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_element_orbitals(
ax=ax_band_down,
scale_factor=scale_factor,
element_orbital_dict=element_orbital_dict,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_element_orbitals(
ax=ax_dos_down,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_element_orbitals(
ax=ax_dos_down,
element_orbital_dict=element_orbital_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def band_dos_element_spd_spin_polarized(
band_folder,
dos_folder,
element_spd_dict,
output='band_dos_element_spd_sp.png',
scale_factor=6,
color_list=None,
legend=True,
linewidth=0.75,
band_color='black',
unprojected_band_color='gray',
unprojected_linewidth=0.6,
figsize=(8, 6),
width_ratios=[7, 3],
erange=[-6, 6],
kpath=None,
n=None,
fontsize=8,
annotations=['$\\uparrow$ ', '$\\downarrow$ '],
annotation_xy=(0.0125, 0.98),
save=True,
fill=True,
alpha=0.3,
sigma=0.05,
):
"""
This function plots a spin polarized s, p, d projected band structure on a given element next to a spin polarized
s, p, d projected density of states on the same element. The top figure highlights the spin up bands and the bottom
figure highlights the spin down bands.
Parameters:
band_folder (str): This is the folder that contains the VASP files for the band structure
dos_folder (str): This is the folder that contains the VASP files for the density of states
element_spd_dict (dict[str:str]): A dictionary that contains the individual atoms and the corresponding
orbitals to project onto. For example, if the user wants to project onto the s, p, d orbitals
of In and the p orbitals of As for an InAs structure then the dictionary would be {'In':'spd', 'As':'p'}
output (str): File name of the resulting plot.
scale_factor (float): Factor to scale weights. This changes the size of the
points in the scatter plot
display_order (str / None): If None, the projections will be displayed in the same order
the user inputs them. If 'all' the projections will be plotted from largest to smallest
so every point is visable. If 'dominant' the projections will be plotted from smallest
to largest so only the dominant projection is shown.
color_list (list): List of colors that is the same length as the number of projections
in the plot.
legend (bool): Determines if the legend should be included or not.
linewidth (float): Line width of the plain band structure plotted in the background
band_color (string): Color of the plain band structure
unprojected_band_color (str): Color of the unprojected band
unprojected_linewidth (float): Line width of the unprojected bands
figsize (list / tuple): Desired size of the image in inches (width, height)
width_ratios (list / tuple): Width ration of the band plot and dos plot.
erange (list / tuple): Range of energy to show in the plot [low, high]
kpath (str): High symmetry k-point path of band structure calculation
Due to the nature of the KPOINTS file for unfolded calculations this
information is a required input for proper labeling of the figure
for unfolded calculations. This information is extracted from the KPOINTS
files for non-unfolded calculations. (G is automaticall converted to \\Gamma)
n (int): Number of points between each high symmetry points.
This is also only required for unfolded calculations and band unfolding. This number should be
known by the user, as it was used to generate the KPOINTS file.
unfold (bool): Determines if the plotted band structure is from a band unfolding calculation.
M (list[list]): Transformation matrix from the primitive bulk structure to the slab structure.
Only required for a band unfolding calculation.
high_symm_points (list[list]): List of fractional coordinated for each high symmetry point in
the band structure path. Only required for a band unfolding calculation.
fontsize (float): Font size of the text in the figure.
annotations (list): Annotations to put on the top and bottom (left and right) figures.
By default it will show the spin up and spin down arrows.
annotation_xy (list / tuple): Fractional (x, y) coordinated of the annotation location
fill (bool): Determines wether or not to fill underneath the plot
alpha (float): Alpha value for the fill
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
fig, ax = plt.subplots(
nrows=2,
ncols=2,
sharey=True,
figsize=figsize,
dpi=400,
gridspec_kw={'width_ratios': width_ratios}
)
ax_band_up, ax_dos_up, ax_band_down, ax_dos_down = _figure_setup_band_dos_spin_polarized(
ax=ax,
fontsize=fontsize,
ylim=[erange[0], erange[1]]
)
band_up = Band(
folder=band_folder,
spin='up',
projected=True,
kpath=kpath,
n=n,
)
band_down = Band(
folder=band_folder,
spin='down',
projected=True,
kpath=kpath,
n=n,
)
dos_up = Dos(folder=dos_folder, spin='up')
dos_down = Dos(folder=dos_folder, spin='down')
bbox = dict(boxstyle='round', fc='white',
edgecolor='gray', alpha=0.95, pad=0.3)
ax_band_up.annotate(
annotations[0],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
ax_band_down.annotate(
annotations[1],
xy=annotation_xy,
xycoords='axes fraction',
va='top',
ha='left',
bbox=bbox,
fontsize=fontsize + 1,
)
band_up.plot_element_spd(
ax=ax_band_up,
element_spd_dict=element_spd_dict,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_down.plot_plain(
ax=ax_band_up,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_up.plot_element_spd(
ax=ax_dos_up,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_down.plot_element_spd(
ax=ax_dos_up,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
band_down.plot_element_spd(
ax=ax_band_down,
element_spd_dict=element_spd_dict,
scale_factor=scale_factor,
color_list=color_list,
legend=False,
linewidth=linewidth,
band_color=band_color,
)
band_up.plot_plain(
ax=ax_band_down,
color=unprojected_band_color,
linewidth=unprojected_linewidth,
)
dos_down.plot_element_spd(
ax=ax_dos_down,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=legend,
total=True,
erange=erange,
)
dos_up.plot_element_spd(
ax=ax_dos_down,
element_spd_dict=element_spd_dict,
fill=fill,
alpha=0.25 * alpha,
alpha_line=0.25 * alpha,
linewidth=linewidth,
sigma=sigma,
energyaxis='y',
color_list=color_list,
legend=False,
total=True,
erange=erange,
)
fig.canvas.draw()
nbins = len(ax_dos_down.get_xticklabels())
ax_dos_down.xaxis.set_major_locator(
MaxNLocator(nbins=nbins - 1, prune='lower'))
plt.tight_layout(pad=0.2)
plt.subplots_adjust(wspace=0, hspace=0.05)
if save:
plt.savefig(output)
else:
return fig, ax_band_up, ax_dos_up, ax_band_down, ax_dos_down
def dos_layers(
folder,
output='dos_layers.png',
energyaxis='y',
figsize=(5, 3),
erange=[-3, 3],
lrange=None,
spin='up',
combination_method='add',
fontsize=7,
save=True,
cmap='magma',
sigma=1.5,
antialiased=False,
show_structure=False,
interface_layer=None,
interface_line_color='white',
interface_line_style='--',
interface_line_width=2,
log_scale=True,
contour=False,
levels=10,
):
"""
This function is used to plot a layer by layer density of states heat map for slab structures. It is useful for
visualizing band alignment of interfaces.
Parameters:
folder (str): This is the folder that contains the VASP files
output (str): File name of the resulting plot.
energyaxis (str): Determines the axis to plot the energy on ('x' or 'y')
figsize (list / tuple): Desired size of the image in inches (width, height)
erange (list): Energy range for the DOS plot ([lower bound, upper bound])
spin (str): Which spin direction to parse ('up' or 'down')
combination_method (str): If spin == 'both', this determines if the spin up and spin down
desnities are added or subtracted. ('add' or 'sub')
fontsize (float): Font size of the text in the figure.
cmap (str): Matplotlib colormap.
antialiased (bool): Determines if the image is antialiased or not.
show_structure (bool): If true, a projected of the structure will be plotted next to the layer by later dos.
This feature works best with large slab structures, and has not been fully tested.
interface_layer (int / None): If an interger is passed in, a line will be drawn on the plot to represent where the
interface layers is. If None, no line will be drawn.
interface_line_color (str): Color of interface line.
interface_line_width (str): Width of interface line.
interface_line_style (str): Style of interface line.
log_scale (bool): Determines is the colormap is converted to log scale. This setting is set to true by defualt and is
recommened as is can help show a more accurate representation of the band gap.
sigma (float): Standard deviation for gaussian filter
save (bool): Determines whether to automatically save the figure or not. If not
the figure and axis are return for further manipulation.
Returns:
If save == True, this function will return nothing and directly save the image as
the output name. If save == False, the function will return the matplotlib figure
and axis for further editing.
"""
if show_structure:
if energyaxis == 'x':
fig, axs = plt.subplots(
nrows=1,
ncols=2,
gridspec_kw={'width_ratios':[1,6]},
figsize=figsize,
dpi=400,
)
structure_ax = axs[0]
dos_ax = axs[1]
elif energyaxis == 'y':
fig, axs = plt.subplots(
nrows=2,
ncols=1,
gridspec_kw={'height_ratios':[1,6], 'hspace': -0.02},
figsize=figsize,
dpi=400,
)
structure_ax = axs[0]
sm = plt.cm.ScalarMappable()
sm.set_array([])
fig.colorbar(sm, ax=structure_ax).ax.set_visible(False)
dos_ax = axs[1]
structure_ax.spines['left'].set_visible(False)
structure_ax.spines['right'].set_visible(False)
structure_ax.spines['top'].set_visible(False)
structure_ax.spines['bottom'].set_visible(False)
structure_ax.tick_params(
left=False,
bottom=False,
labelleft=False,
labelbottom=False,
)
else:
fig = plt.figure(figsize=figsize, dpi=400)
dos_ax = fig.add_subplot(111)
_figure_setup_layer_dos(ax=dos_ax, fontsize=fontsize, energyaxis=energyaxis)
dos = Dos(folder=folder, spin=spin, combination_method=combination_method)
dos.plot_layers(
ax=dos_ax,
sigma=sigma,
cmap=cmap,
erange=erange,
lrange=lrange,
antialiased=antialiased,
fontsize=fontsize,
energyaxis=energyaxis,
interface_layer=interface_layer,
interface_line_color=interface_line_color,
interface_line_style=interface_line_style,
interface_line_width=interface_line_width,
log_scale=log_scale,
contour=contour,
levels=levels,
)
if energyaxis == 'y':
dos_ax.set_ylim(erange[0], erange[1])
elif energyaxis == 'x':
dos_ax.set_xlim(erange[0], erange[1])
if show_structure:
if energyaxis == 'y':
dos.plot_structure(ax=structure_ax, rotation=[90,90,90])
elif energyaxis == 'x':
dos.plot_structure(ax=structure_ax, rotation=[0,90,90])
fig.tight_layout(pad=0.2)
if save:
plt.savefig(output, bbox_inches='tight')
else:
if show_structure:
return fig, dos_ax, structure_ax
else:
return fig, dos_ax
def _main():
# band_folder = '../../vaspvis_data/InAsAl'
# band_spd(
# folder='../../vaspvis_data/band',
# erange=[-12,12]
# )
dos_ldos(
folder='../../vaspvis_data/slabdos',
layers=[0,1,2,3,4],
fill=False,
)
# dos_layers(
# folder='../../vaspvis_data/slabdos',
# contour=True,
# output='contour.png',
# # levels=25,
# )
# band_folder = '../../vaspvis_data/InSb111_band'
#
# Transformation matrix generated from convert_slab
# M = [
# [0,0,-2],
# [0,-2,2],
# [-25,8,8]
# ]
#
# high_symm_points = [
# [0.3333,0.3333,0.6666], # X
# [0.0,0.0,0.0], # Gamma
# [0.3333,0.3333,0.6666] # X
# ]
#
# # All other functions in the standard library work with band unfolding too.
# band_elements(
# folder=band_folder,
# elements=['Al'],
# color_list=['blue'],
# erange=[-6,6],
# figsize=(3,4),
# unfold=True,
# kpath='AGA',
# high_symm_points=high_symm_points,
# n=50,
# M=M,
# scale_factor=20,
# output='band_elements_Al.png'
# )
if __name__ == "__main__":
_main()
| 36.409842 | 129 | 0.63842 | 38,058 | 281,885 | 4.634426 | 0.012428 | 0.012728 | 0.011986 | 0.014458 | 0.979442 | 0.974804 | 0.967728 | 0.962665 | 0.957285 | 0.952647 | 0 | 0.012317 | 0.283665 | 281,885 | 7,741 | 130 | 36.414546 | 0.861166 | 0.551725 | 0 | 0.886768 | 0 | 0 | 0.033752 | 0.005405 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013296 | false | 0 | 0.001072 | 0 | 0.027021 | 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 |
4be29ae93dc6fe7fbff930a76c5a3c60fe55aec6 | 81,056 | py | Python | blender_io/gltf_pbr_node.py | ousttrue/moldjson | eb0b5258469da689816844ac63a981dbf4a09f04 | [
"MIT"
] | null | null | null | blender_io/gltf_pbr_node.py | ousttrue/moldjson | eb0b5258469da689816844ac63a981dbf4a09f04 | [
"MIT"
] | null | null | null | blender_io/gltf_pbr_node.py | ousttrue/moldjson | eb0b5258469da689816844ac63a981dbf4a09f04 | [
"MIT"
] | 1 | 2019-05-16T08:40:41.000Z | 2019-05-16T08:40:41.000Z | groups = [{'outputs': [{'bl_socket_idname': 'NodeSocketShader', 'name': 'Shader'}], 'name': 'AlphaMask.001', 'links': [{'to_socket': 2, 'from_node': 2, 'from_socket': 0, 'to_node': 4}, {'to_socket': 1, 'from_node': 3, 'from_socket': 0, 'to_node': 4}, {'to_socket': 0, 'from_node': 3, 'from_socket': 1, 'to_node': 1}, {'to_socket': 1, 'from_node': 3, 'from_socket': 2, 'to_node': 1}, {'to_socket': 0, 'from_node': 4, 'from_socket': 0, 'to_node': 0}, {'to_socket': 0, 'from_node': 1, 'from_socket': 0, 'to_node': 4}], 'nodes': [{'inputs': [{'link_limit': 1, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}, {'link_limit': 1, 'name': '', 'bl_idname': 'NodeSocketVirtual', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'CUSTOM', 'hide_value': False}], 'outputs': [], 'attr': {'name': 'Group Output', 'is_active_output': True, 'bl_idname': 'NodeGroupOutput', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'GROUP_OUTPUT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 80.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Group Output', 'bl_width_max': 400.0, 'show_texture': False, 'location': [307.67681884765625, -58.37359619140625], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 80.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'GROUP_OUTPUT', 'bl_idname': 'NodeGroupOutput'}, {'inputs': [{'link_limit': 1, 'name': 'Value', 'default_value': 1.0, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Value', 'default_value': 0.5, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Value', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}], 'attr': {'name': 'Math', 'bl_idname': 'ShaderNodeMath', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'MATH', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'operation': 'LESS_THAN', 'use_clamp': False, 'show_preview': False, 'use_custom_color': False, 'bl_label': 'Math', 'bl_width_max': 700.0, 'show_texture': False, 'location': [-117.1951675415039, 182.2685546875], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'MATH', 'bl_idname': 'ShaderNodeMath'}, {'inputs': [{'link_limit': 1, 'name': 'Color', 'default_value': [1.0, 1.0, 1.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'BSDF', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'attr': {'name': 'Transparent BSDF', 'bl_idname': 'ShaderNodeBsdfTransparent', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'BSDF_TRANSPARENT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Transparent BSDF', 'bl_width_max': 700.0, 'show_texture': False, 'location': [-124.3338623046875, -163.20779418945312], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'BSDF_TRANSPARENT', 'bl_idname': 'ShaderNodeBsdfTransparent'}, {'inputs': [], 'outputs': [{'link_limit': 4095, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}, {'link_limit': 4095, 'name': 'Alpha', 'default_value': 0.30000001192092896, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 4095, 'name': 'AlphaCutoff', 'default_value': 0.5, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 4095, 'name': '', 'bl_idname': 'NodeSocketVirtual', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'CUSTOM', 'hide_value': False}], 'attr': {'name': 'Group Input', 'bl_idname': 'NodeGroupInput', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'GROUP_INPUT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 80.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Group Input', 'bl_width_max': 400.0, 'show_texture': False, 'location': [-363.5972900390625, 22.634662628173828], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 80.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'GROUP_INPUT', 'bl_idname': 'NodeGroupInput'}, {'inputs': [{'link_limit': 1, 'name': 'Fac', 'default_value': 0.5, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}, {'link_limit': 1, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'attr': {'name': 'Mix Shader', 'bl_idname': 'ShaderNodeMixShader', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'MIX_SHADER', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Mix Shader', 'bl_width_max': 700.0, 'show_texture': False, 'location': [105.29721069335938, -44.077980041503906], 'bl_width_default': 140.0, 'height': 100.0, 'select': True, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'MIX_SHADER', 'bl_idname': 'ShaderNodeMixShader'}], 'bl_idname': 'ShaderNodeTree', 'tree_attr': {'tag': False, 'bl_label': 'Shader', 'name': 'AlphaMask.001', 'bl_idname': 'ShaderNodeTree', 'bl_icon': 'MATERIAL', 'grease_pencil': None, 'bl_description': 'Shader nodes'}, 'inputs': [{'bl_socket_idname': 'NodeSocketShader', 'name': 'Shader'}, {'bl_socket_idname': 'NodeSocketFloat', 'min_value': 0.0, 'name': 'Alpha', 'default_value': 1.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketFloat', 'min_value': 0.0, 'name': 'AlphaCutoff', 'default_value': 0.5, 'max_value': 1.0}]}, {'outputs': [{'bl_socket_idname': 'NodeSocketShader', 'name': 'Emission'}], 'name': 'Emissive.001', 'links': [{'to_socket': 0, 'from_node': 3, 'from_socket': 0, 'to_node': 0}, {'to_socket': 0, 'from_node': 2, 'from_socket': 0, 'to_node': 3}, {'to_socket': 1, 'from_node': 1, 'from_socket': 0, 'to_node': 2}, {'to_socket': 2, 'from_node': 1, 'from_socket': 1, 'to_node': 2}], 'nodes': [{'inputs': [{'link_limit': 1, 'name': 'Emission', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}, {'link_limit': 1, 'name': '', 'bl_idname': 'NodeSocketVirtual', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'CUSTOM', 'hide_value': False}], 'outputs': [], 'attr': {'name': 'Group Output', 'is_active_output': True, 'bl_idname': 'NodeGroupOutput', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'GROUP_OUTPUT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 80.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Group Output', 'bl_width_max': 400.0, 'show_texture': False, 'location': [260.6797180175781, -8.339085578918457], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 80.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'GROUP_OUTPUT', 'bl_idname': 'NodeGroupOutput'}, {'inputs': [], 'outputs': [{'link_limit': 4095, 'name': 'Color', 'default_value': [0.800000011920929, 0.800000011920929, 0.800000011920929, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}, {'link_limit': 4095, 'name': 'Factor', 'default_value': [0.0, 0.0, 0.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}, {'link_limit': 4095, 'name': '', 'bl_idname': 'NodeSocketVirtual', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'CUSTOM', 'hide_value': False}], 'attr': {'name': 'Group Input', 'bl_idname': 'NodeGroupInput', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'GROUP_INPUT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 80.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Group Input', 'bl_width_max': 400.0, 'show_texture': False, 'location': [-483.1720275878906, 16.678173065185547], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 80.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'GROUP_INPUT', 'bl_idname': 'NodeGroupInput'}, {'inputs': [{'link_limit': 1, 'name': 'Fac', 'default_value': 1.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Color1', 'default_value': [0.0, 0.0, 0.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}, {'link_limit': 1, 'name': 'Color2', 'default_value': [0.0, 0.0, 0.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Color', 'default_value': [0.0, 0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'attr': {'name': 'Mix', 'bl_idname': 'ShaderNodeMixRGB', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'MIX_RGB', 'bl_height_max': 30.0, 'mute': False, 'blend_type': 'MULTIPLY', 'width_hidden': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_clamp': False, 'show_preview': False, 'use_custom_color': False, 'bl_label': 'Mix', 'bl_width_max': 700.0, 'show_texture': False, 'use_alpha': False, 'location': [-211.18919372558594, 5.956470489501953], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'bl_width_min': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'MIX_RGB', 'bl_idname': 'ShaderNodeMixRGB'}, {'inputs': [{'link_limit': 1, 'name': 'Color', 'default_value': [0.800000011920929, 0.800000011920929, 0.800000011920929, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}, {'link_limit': 1, 'name': 'Strength', 'default_value': 1.0, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Emission', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'attr': {'name': 'Emission', 'bl_idname': 'ShaderNodeEmission', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'EMISSION', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Emission', 'bl_width_max': 700.0, 'show_texture': False, 'location': [5.9489922523498535, 9.530383110046387], 'bl_width_default': 140.0, 'height': 100.0, 'select': True, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'EMISSION', 'bl_idname': 'ShaderNodeEmission'}], 'bl_idname': 'ShaderNodeTree', 'tree_attr': {'tag': False, 'bl_label': 'Shader', 'name': 'Emissive.001', 'bl_idname': 'ShaderNodeTree', 'bl_icon': 'MATERIAL', 'grease_pencil': None, 'bl_description': 'Shader nodes'}, 'inputs': [{'bl_socket_idname': 'NodeSocketColor', 'name': 'Color', 'default_value': [0.800000011920929, 0.800000011920929, 0.800000011920929, 1.0]}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'Factor', 'default_value': [0.0, 0.0, 0.0, 1.0]}]}, {'outputs': [{'bl_socket_idname': 'NodeSocketShader', 'name': 'Shader'}], 'name': 'AlphaBlend.001', 'links': [{'to_socket': 1, 'from_node': 0, 'from_socket': 0, 'to_node': 3}, {'to_socket': 0, 'from_node': 3, 'from_socket': 0, 'to_node': 2}, {'to_socket': 2, 'from_node': 1, 'from_socket': 0, 'to_node': 3}, {'to_socket': 0, 'from_node': 1, 'from_socket': 1, 'to_node': 3}], 'nodes': [{'inputs': [{'link_limit': 1, 'name': 'Color', 'default_value': [1.0, 1.0, 1.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'BSDF', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'attr': {'name': 'Transparent BSDF', 'bl_idname': 'ShaderNodeBsdfTransparent', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'BSDF_TRANSPARENT', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Transparent BSDF', 'bl_width_max': 700.0, 'show_texture': False, 'location': [-146.94003295898438, -60.75620651245117], 'bl_width_default': 140.0, 'height': 100.0, 'select': False, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'BSDF_TRANSPARENT', 'bl_idname': 'ShaderNodeBsdfTransparent'}, {'inputs': [], 'outputs': [{'link_limit': 4095, 'name': 'Shader', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}, {'link_limit': 4095, 'name': 'Alpha', 'default_value': 0.5, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 4095, 'name': '', 'bl_idname': 'NodeSocketVirtual', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'CUSTOM', 'hide_value': False}], 'attr': {'name': 'Group Input', 'bl_idname': 'NodeGroupInput', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'GROUP_INPUT', 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'hide_value': False}, {'link_limit': 1, 'name': 'Anisotropic Rotation', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Sheen', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Sheen Tint', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Clearcoat', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Clearcoat Roughness', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'IOR', 'default_value': 1.4500000476837158, 'bl_idname': 'NodeSocketFloat', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Transmission', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Transmission Roughness', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Normal', 'default_value': [0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketVector', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VECTOR', 'hide_value': True}, {'link_limit': 1, 'name': 'Clearcoat Normal', 'default_value': [0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketVector', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VECTOR', 'hide_value': True}, {'link_limit': 1, 'name': 'Tangent', 'default_value': [0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketVector', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VECTOR', 'hide_value': True}], 'outputs': [{'link_limit': 4095, 'name': 'BSDF', 'bl_idname': 'NodeSocketShader', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'SHADER', 'hide_value': False}], 'attr': {'name': 'Principled BSDF', 'bl_idname': 'ShaderNodeBsdfPrincipled', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'BSDF_PRINCIPLED', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 120.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Principled BSDF', 'bl_width_max': 700.0, 'show_texture': False, 'location': [756.3221435546875, 321.06005859375], 'bl_width_default': 150.0, 'height': 100.0, 'select': True, 'bl_icon': 'NONE', 'width': 150.0, 'width_hidden': 120.0, 'distribution': 'GGX', 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'BSDF_PRINCIPLED', 'bl_idname': 'ShaderNodeBsdfPrincipled'}, {'inputs': [{'link_limit': 1, 'name': 'Fac', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatFactor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'Color1', 'default_value': [0.5, 0.5, 0.5, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}, {'link_limit': 1, 'name': 'Color2', 'default_value': [1.0, 1.0, 1.0, 1.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Color', 'default_value': [0.0, 0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'attr': {'name': 'Mix.003', 'bl_idname': 'ShaderNodeMixRGB', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'MIX_RGB', 'bl_height_max': 30.0, 'mute': False, 'blend_type': 'MULTIPLY', 'width_hidden': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_clamp': True, 'show_preview': False, 'use_custom_color': False, 'bl_label': 'Mix', 'bl_width_max': 700.0, 'show_texture': False, 'use_alpha': False, 'location': [432.3741760253906, 318.28192138671875], 'bl_width_default': 140.0, 'height': 100.0, 'select': True, 'bl_icon': 'NONE', 'width': 140.0, 'bl_width_min': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'MIX_RGB', 'bl_idname': 'ShaderNodeMixRGB'}, {'inputs': [{'link_limit': 1, 'name': 'R', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatUnsigned', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'G', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatUnsigned', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}, {'link_limit': 1, 'name': 'B', 'default_value': 0.0, 'bl_idname': 'NodeSocketFloatUnsigned', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'VALUE', 'hide_value': False}], 'outputs': [{'link_limit': 4095, 'name': 'Image', 'default_value': [0.0, 0.0, 0.0, 0.0], 'bl_idname': 'NodeSocketColor', 'show_expanded': False, 'enabled': True, 'hide': False, 'type': 'RGBA', 'hide_value': False}], 'attr': {'name': 'Combine RGB', 'bl_idname': 'ShaderNodeCombineRGB', 'bl_height_default': 100.0, 'show_options': True, 'bl_static_type': 'COMBRGB', 'bl_height_max': 30.0, 'mute': False, 'bl_width_min': 100.0, 'color': [0.6079999804496765, 0.6079999804496765, 0.6079999804496765], 'label': '', 'use_custom_color': False, 'show_preview': False, 'bl_label': 'Combine RGB', 'bl_width_max': 700.0, 'show_texture': False, 'location': [112.35455322265625, 159.4531707763672], 'bl_width_default': 140.0, 'height': 100.0, 'select': True, 'bl_icon': 'NONE', 'width': 140.0, 'width_hidden': 100.0, 'bl_height_min': 30.0, 'hide': False, 'bl_description': ''}, 'type': 'COMBRGB', 'bl_idname': 'ShaderNodeCombineRGB'}], 'bl_idname': 'ShaderNodeTree', 'tree_attr': {'tag': False, 'bl_label': 'Shader', 'name': 'glTF Metallic Roughness', 'bl_idname': 'ShaderNodeTree', 'bl_icon': 'MATERIAL', 'grease_pencil': None, 'bl_description': 'Shader nodes'}, 'inputs': [{'bl_socket_idname': 'NodeSocketColor', 'name': 'BaseColor', 'default_value': [1.0, 1.0, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'BaseColorFactor', 'default_value': [1.0, 1.0, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'MetallicRoughness', 'default_value': [1.0, 1.0, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'MetallicFactor', 'default_value': 1.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'RoughnessFactor', 'default_value': 1.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'Normal', 'default_value': [0.5, 0.5, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketFloat', 'min_value': -10000.0, 'name': 'NormalScale', 'default_value': 1.0, 'max_value': 10000.0}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'Occlusion', 'default_value': [1.0, 1.0, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'OcclusionStrength', 'default_value': 1.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'Emissive', 'default_value': [1.0, 1.0, 1.0, 1.0]}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'EmissiveFactor', 'default_value': [0.0, 0.0, 0.0, 1.0]}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'Alpha', 'default_value': 1.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketFloat', 'min_value': 0.0, 'name': 'AlphaCutoff', 'default_value': 0.5, 'max_value': 1.100000023841858}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'AlphaMode', 'default_value': 0.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'DoubleSided', 'default_value': 0.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketFloatFactor', 'min_value': 0.0, 'name': 'Use COLOR_0', 'default_value': 0.0, 'max_value': 1.0}, {'bl_socket_idname': 'NodeSocketColor', 'name': 'COLOR_0', 'default_value': [0.0, 0.0, 0.0, 1.0]}]}]
| 40,528 | 81,055 | 0.670031 | 11,061 | 81,056 | 4.672272 | 0.039508 | 0.045046 | 0.060197 | 0.084985 | 0.938526 | 0.924342 | 0.916699 | 0.914783 | 0.892783 | 0.886087 | 0 | 0.107711 | 0.092047 | 81,056 | 1 | 81,056 | 81,056 | 0.594511 | 0 | 0 | 0 | 0 | 0 | 0.50879 | 0.014854 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
4be51330b45e533680cac8b81df69620ec67af30 | 17,367 | py | Python | tests/verification/convolution/test_2d_m_c_coarse_weight_stationary/test_m_c_1.py | oslab-swrc/dMazeRunner | 8e112de8e9b217486063b960a781f3e3b0a3e073 | [
"Apache-2.0"
] | null | null | null | tests/verification/convolution/test_2d_m_c_coarse_weight_stationary/test_m_c_1.py | oslab-swrc/dMazeRunner | 8e112de8e9b217486063b960a781f3e3b0a3e073 | [
"Apache-2.0"
] | null | null | null | tests/verification/convolution/test_2d_m_c_coarse_weight_stationary/test_m_c_1.py | oslab-swrc/dMazeRunner | 8e112de8e9b217486063b960a781f3e3b0a3e073 | [
"Apache-2.0"
] | null | null | null | # SPDX-FileCopyrightText: Copyright (c) 2021 Electronics and Telecommunications Research Institute
# SPDX-License-Identifier: Apache-2.0
import tvm
from dMazeRunner.dataflow import ConvLayer
from dMazeRunner.common import expr_parameters
spm_orderings = ()
dram_orderings = ()
def setup():
layer = get_sample_layer()
dicts = [
{"O": 4, "I": 1, "W": 1},
{"O": 2, "I": 1, "W": 1},
{"O": 1, "I": 4, "W": 1},
{"O": 1, "I": 1, "W": 2},
{"O": 1, "I": 1, "W": 5},
{"O": 1, "I": 1, "W": 10},
]
orders = [layer.get_ordering_from_reuse_factor(d, "SPM") for d in dicts]
global spm_orderings
spm_orderings = tuple(orders)
assert(len(spm_orderings) == 6)
dicts = [
{"O": 2, "I": 1, "W": 1},
{"O": 4, "I": 1, "W": 1},
{"O": 8, "I": 1, "W": 1},
{"O": 1, "I": 2, "W": 1},
{"O": 1, "I": 1, "W": 2},
]
orders = [ layer.get_ordering_from_reuse_factor(d, "DRAM") for d in dicts ]
global dram_orderings
dram_orderings = tuple(orders)
assert(len(dram_orderings) == 5)
def get_sample_layer():
env = expr_parameters.Environment()
env.pe_pipeline_stages = 1
args = {
"name": "test_conv2d12_from_resnet18_v1",
"channels": 64,
"kernel_size": "[6, 6]",
"padding": "[2, 2]",
"strides": "[2, 2]",
"output_shape": [1, 64, 5, 5],
"input_shape": [1, 64, 10, 10],
"batch_size": 8,
}
layer = ConvLayer(env, **args)
layer.set_tiling("N", [2, 2, 2, 1])
layer.set_tiling("M", [2, 4, 2, 4])
layer.set_tiling("C", [4, 2, 2, 4])
layer.set_tiling("Ox", [1, 5, 1, 1])
layer.set_tiling("Oy", [1, 1, 5, 1])
layer.set_tiling("Fx", [1, 2, 3, 1])
layer.set_tiling("Fy", [2, 1, 3, 1])
for level in layer._loop_IVs:
layer.set_ordering(level, ["N", "C", "Fx", "Fy", "M", "Ox", "Oy"])
return layer
def test_commonFunctions():
layer = get_sample_layer()
# Set tests to find data allocation in RF and SPM
data_RF = layer.get_data_allocated_RF()
assert data_RF["I"] == 132
assert data_RF["W"] == 36
assert data_RF["O"] == 20
data_PE_array = layer.get_data_allocated_PE_array()
assert data_PE_array["I"] == 528
assert data_PE_array["W"] == 576
assert data_PE_array["O"] == 80
data_SPM = layer.get_data_allocated_SPM()
assert data_SPM["I"] == 9856
assert data_SPM["W"] == 9216
assert data_SPM["O"] == 3200
def test_TotalEnergy():
layer = get_sample_layer()
energy_ops = layer.computeEnergyCost_UsefulOps()
assert abs(energy_ops - 2211840) < 1.0e-5
energy_RF = layer.computeEnergyCost_RF()
assert abs(energy_RF - 113246208) < 1.0e-5
key_1_spm = spm_orderings[0]
key_2_spm = spm_orderings[1]
key_3_spm = spm_orderings[2]
key_4_spm = spm_orderings[3]
key_5_spm = spm_orderings[4]
key_6_spm = spm_orderings[5]
key_1_dram = dram_orderings[0]
key_2_dram = dram_orderings[1]
key_3_dram = dram_orderings[2]
key_4_dram = dram_orderings[3]
key_5_dram = dram_orderings[4]
energy_SPM_pass = layer.get_Energy_One_SPM_Pass()
assert abs(energy_SPM_pass[(key_1_dram, key_1_spm)] - 3391568) < 1
assert abs(energy_SPM_pass[(key_1_dram, key_2_spm)] - 3538336) < 1
assert abs(energy_SPM_pass[(key_1_dram, key_3_spm)] - 2469632) < 1
assert abs(energy_SPM_pass[(key_1_dram, key_4_spm)] - 3117632) < 1
assert abs(energy_SPM_pass[(key_1_dram, key_5_spm)] - 2689088) < 1
assert abs(energy_SPM_pass[(key_1_dram, key_6_spm)] - 2546240) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_1_spm)] - 3391568) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_2_spm)] - 3538336) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_3_spm)] - 2469632) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_4_spm)] - 3117632) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_5_spm)] - 2689088) < 1
assert abs(energy_SPM_pass[(key_2_dram, key_6_spm)] - 2546240) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_1_spm)] - 3391568) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_2_spm)] - 3538336) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_3_spm)] - 2469632) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_4_spm)] - 3117632) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_5_spm)] - 2689088) < 1
assert abs(energy_SPM_pass[(key_3_dram, key_6_spm)] - 2546240) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_1_spm)] - 3391568) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_2_spm)] - 3538336) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_3_spm)] - 2469632) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_4_spm)] - 3117632) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_5_spm)] - 2689088) < 1
assert abs(energy_SPM_pass[(key_4_dram, key_6_spm)] - 2546240) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_1_spm)] - 3391568) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_2_spm)] - 3538336) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_3_spm)] - 2469632) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_4_spm)] - 3117632) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_5_spm)] - 2689088) < 1
assert abs(energy_SPM_pass[(key_5_dram, key_6_spm)] - 2546240) < 1
total_SPM_pass = layer.get_TripCounts_all_IVs("DRAM")
assert abs(total_SPM_pass - 32) == 0
energy_DRAM = layer.get_Energy_DataCommunication_DRAM()
# print(layer.determine_data_reuse("DRAM"))
# print(energy_DRAM[(key_1_dram, key_1_spm)])
assert abs(energy_DRAM[(key_1_dram, key_1_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_1_dram, key_2_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_1_dram, key_3_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_1_dram, key_4_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_1_dram, key_5_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_1_dram, key_6_spm)] - 139980800) < 1
assert abs(energy_DRAM[(key_2_dram, key_1_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_2_dram, key_2_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_2_dram, key_3_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_2_dram, key_4_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_2_dram, key_5_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_2_dram, key_6_spm)] - 129740800) < 1
assert abs(energy_DRAM[(key_3_dram, key_1_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_3_dram, key_2_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_3_dram, key_3_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_3_dram, key_4_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_3_dram, key_5_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_3_dram, key_6_spm)] - 124620800) < 1
assert abs(energy_DRAM[(key_4_dram, key_1_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_4_dram, key_2_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_4_dram, key_3_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_4_dram, key_4_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_4_dram, key_5_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_4_dram, key_6_spm)] - 128921600) < 1
assert abs(energy_DRAM[(key_5_dram, key_1_spm)] - 130969600) < 1
assert abs(energy_DRAM[(key_5_dram, key_2_spm)] - 130969600) < 1
assert abs(energy_DRAM[(key_5_dram, key_3_spm)] - 130969600) < 1
assert abs(energy_DRAM[(key_5_dram, key_4_spm)] - 130969600) < 1
assert abs(energy_DRAM[(key_5_dram, key_5_spm)] - 130969600) < 1
assert abs(energy_DRAM[(key_5_dram, key_6_spm)] - 130969600) < 1
energy = layer.get_Energy_One_Layer()
for d in dram_orderings:
for s in spm_orderings:
expected_energy = round(energy_ops + energy_RF + (energy_SPM_pass[(d,s)] * total_SPM_pass) + energy_DRAM[(d,s)])
assert abs(energy[(d,s)] - expected_energy) == 0
def test_Performance():
layer = get_sample_layer()
assert layer.computeExecTime_UsefulOps_One_RF_Pass() == 360
cycles = layer.calculate_Cycles_DataDistribution_NOC()
assert cycles[layer._O.name] == 80
assert cycles[layer._I.name] == 528
assert cycles[layer._W.name] == 576
cycles = layer.calculate_Cycles_InterPECommunication()
assert cycles[layer._I.name] == 0
assert cycles[layer._W.name] == 0
assert cycles[layer._O.name] == 240
key_1_spm = spm_orderings[0]
key_2_spm = spm_orderings[1]
key_3_spm = spm_orderings[2]
key_4_spm = spm_orderings[3]
key_5_spm = spm_orderings[4]
key_6_spm = spm_orderings[5]
key_1_dram = dram_orderings[0]
key_2_dram = dram_orderings[1]
key_3_dram = dram_orderings[2]
key_4_dram = dram_orderings[3]
key_5_dram = dram_orderings[4]
# Check cycles for 1 RF pass
comm_cycles_dict = layer.map_operands_to_NOCs()
assert comm_cycles_dict[(key_1_dram, key_1_spm)][0][1] == 576
assert comm_cycles_dict[(key_1_dram, key_2_spm)][0][1] == 576
assert comm_cycles_dict[(key_1_dram, key_3_spm)][0][1] == 576
assert comm_cycles_dict[(key_1_dram, key_4_spm)][0][1] == 528
assert comm_cycles_dict[(key_1_dram, key_5_spm)][0][1] == 528
assert comm_cycles_dict[(key_1_dram, key_6_spm)][0][1] == 528
assert comm_cycles_dict[(key_2_dram, key_1_spm)][0][1] == 576
assert comm_cycles_dict[(key_2_dram, key_2_spm)][0][1] == 576
assert comm_cycles_dict[(key_2_dram, key_3_spm)][0][1] == 576
assert comm_cycles_dict[(key_2_dram, key_4_spm)][0][1] == 528
assert comm_cycles_dict[(key_2_dram, key_5_spm)][0][1] == 528
assert comm_cycles_dict[(key_2_dram, key_6_spm)][0][1] == 528
assert comm_cycles_dict[(key_3_dram, key_1_spm)][0][1] == 576
assert comm_cycles_dict[(key_3_dram, key_2_spm)][0][1] == 576
assert comm_cycles_dict[(key_3_dram, key_3_spm)][0][1] == 576
assert comm_cycles_dict[(key_3_dram, key_4_spm)][0][1] == 528
assert comm_cycles_dict[(key_3_dram, key_5_spm)][0][1] == 528
assert comm_cycles_dict[(key_3_dram, key_6_spm)][0][1] == 528
assert comm_cycles_dict[(key_4_dram, key_1_spm)][0][1] == 576
assert comm_cycles_dict[(key_4_dram, key_2_spm)][0][1] == 576
assert comm_cycles_dict[(key_4_dram, key_3_spm)][0][1] == 576
assert comm_cycles_dict[(key_4_dram, key_4_spm)][0][1] == 528
assert comm_cycles_dict[(key_4_dram, key_5_spm)][0][1] == 528
assert comm_cycles_dict[(key_4_dram, key_6_spm)][0][1] == 528
assert comm_cycles_dict[(key_5_dram, key_1_spm)][0][1] == 576
assert comm_cycles_dict[(key_5_dram, key_2_spm)][0][1] == 576
assert comm_cycles_dict[(key_5_dram, key_3_spm)][0][1] == 576
assert comm_cycles_dict[(key_5_dram, key_4_spm)][0][1] == 528
assert comm_cycles_dict[(key_5_dram, key_5_spm)][0][1] == 528
assert comm_cycles_dict[(key_5_dram, key_6_spm)][0][1] == 528
# Check stall cycles for each RF pass
assert comm_cycles_dict[(key_1_dram, key_1_spm)][1][1] == 0
assert comm_cycles_dict[(key_1_dram, key_2_spm)][1][1] == 0
assert comm_cycles_dict[(key_1_dram, key_3_spm)][1][1] == 600
assert comm_cycles_dict[(key_1_dram, key_4_spm)][1][1] == 600
assert comm_cycles_dict[(key_1_dram, key_5_spm)][1][1] == 600
assert comm_cycles_dict[(key_1_dram, key_6_spm)][1][1] == 600
assert comm_cycles_dict[(key_2_dram, key_1_spm)][1][1] == 0
assert comm_cycles_dict[(key_2_dram, key_2_spm)][1][1] == 0
assert comm_cycles_dict[(key_2_dram, key_3_spm)][1][1] == 600
assert comm_cycles_dict[(key_2_dram, key_4_spm)][1][1] == 600
assert comm_cycles_dict[(key_2_dram, key_5_spm)][1][1] == 600
assert comm_cycles_dict[(key_2_dram, key_6_spm)][1][1] == 600
assert comm_cycles_dict[(key_3_dram, key_1_spm)][1][1] == 0
assert comm_cycles_dict[(key_3_dram, key_2_spm)][1][1] == 0
assert comm_cycles_dict[(key_3_dram, key_3_spm)][1][1] == 600
assert comm_cycles_dict[(key_3_dram, key_4_spm)][1][1] == 600
assert comm_cycles_dict[(key_3_dram, key_5_spm)][1][1] == 600
assert comm_cycles_dict[(key_3_dram, key_6_spm)][1][1] == 600
assert comm_cycles_dict[(key_4_dram, key_1_spm)][1][1] == 0
assert comm_cycles_dict[(key_4_dram, key_2_spm)][1][1] == 0
assert comm_cycles_dict[(key_4_dram, key_3_spm)][1][1] == 600
assert comm_cycles_dict[(key_4_dram, key_4_spm)][1][1] == 600
assert comm_cycles_dict[(key_4_dram, key_5_spm)][1][1] == 600
assert comm_cycles_dict[(key_4_dram, key_6_spm)][1][1] == 600
assert comm_cycles_dict[(key_5_dram, key_1_spm)][1][1] == 0
assert comm_cycles_dict[(key_5_dram, key_2_spm)][1][1] == 0
assert comm_cycles_dict[(key_5_dram, key_3_spm)][1][1] == 600
assert comm_cycles_dict[(key_5_dram, key_4_spm)][1][1] == 600
assert comm_cycles_dict[(key_5_dram, key_5_spm)][1][1] == 600
assert comm_cycles_dict[(key_5_dram, key_6_spm)][1][1] == 600
# Check cycles for each SPM pass
dict_cycles_spm_pass = layer.get_Cycles_One_SPM_Pass()
assert dict_cycles_spm_pass[(key_1_dram, key_1_spm)] == 116160
assert dict_cycles_spm_pass[(key_1_dram, key_2_spm)] == 140160
assert dict_cycles_spm_pass[(key_1_dram, key_3_spm)] == 188160
assert dict_cycles_spm_pass[(key_1_dram, key_4_spm)] == 184320
assert dict_cycles_spm_pass[(key_1_dram, key_5_spm)] == 182016
assert dict_cycles_spm_pass[(key_1_dram, key_6_spm)] == 181248
assert dict_cycles_spm_pass[(key_2_dram, key_1_spm)] == 116160
assert dict_cycles_spm_pass[(key_2_dram, key_2_spm)] == 140160
assert dict_cycles_spm_pass[(key_2_dram, key_3_spm)] == 188160
assert dict_cycles_spm_pass[(key_2_dram, key_4_spm)] == 184320
assert dict_cycles_spm_pass[(key_2_dram, key_5_spm)] == 182016
assert dict_cycles_spm_pass[(key_2_dram, key_6_spm)] == 181248
assert dict_cycles_spm_pass[(key_3_dram, key_1_spm)] == 116160
assert dict_cycles_spm_pass[(key_3_dram, key_2_spm)] == 140160
assert dict_cycles_spm_pass[(key_3_dram, key_3_spm)] == 188160
assert dict_cycles_spm_pass[(key_3_dram, key_4_spm)] == 184320
assert dict_cycles_spm_pass[(key_3_dram, key_5_spm)] == 182016
assert dict_cycles_spm_pass[(key_3_dram, key_6_spm)] == 181248
assert dict_cycles_spm_pass[(key_4_dram, key_1_spm)] == 116160
assert dict_cycles_spm_pass[(key_4_dram, key_2_spm)] == 140160
assert dict_cycles_spm_pass[(key_4_dram, key_3_spm)] == 188160
assert dict_cycles_spm_pass[(key_4_dram, key_4_spm)] == 184320
assert dict_cycles_spm_pass[(key_4_dram, key_5_spm)] == 182016
assert dict_cycles_spm_pass[(key_4_dram, key_6_spm)] == 181248
assert dict_cycles_spm_pass[(key_5_dram, key_1_spm)] == 116160
assert dict_cycles_spm_pass[(key_5_dram, key_2_spm)] == 140160
assert dict_cycles_spm_pass[(key_5_dram, key_3_spm)] == 188160
assert dict_cycles_spm_pass[(key_5_dram, key_4_spm)] == 184320
assert dict_cycles_spm_pass[(key_5_dram, key_5_spm)] == 182016
assert dict_cycles_spm_pass[(key_5_dram, key_6_spm)] == 181248
# Check DMA communication cycles
dma_accesses = layer.determine_DMA_Access()
assert dma_accesses["I"]["dma_invocations"] == 896
assert dma_accesses["I"]["data_accessed_dma"] == 11
assert dma_accesses["W"]["dma_invocations"] == 3072
assert dma_accesses["W"]["data_accessed_dma"] == 3
assert dma_accesses["O"]["dma_invocations"] == 4
assert dma_accesses["O"]["data_accessed_dma"] == 800
dma_cycles = layer.calculate_Cycles_DMA_Access()
assert dma_cycles["I"] == 42112
assert dma_cycles["W"] == 141312
assert dma_cycles["O"] == 424
dict_cycles = layer.get_Cycles_One_Layer()
assert dict_cycles[(key_1_dram, key_1_spm)] == 5883136
assert dict_cycles[(key_1_dram, key_2_spm)] == 5883136
assert dict_cycles[(key_1_dram, key_3_spm)] == 6021120
assert dict_cycles[(key_1_dram, key_4_spm)] == 5898240
assert dict_cycles[(key_1_dram, key_5_spm)] == 5883136
assert dict_cycles[(key_1_dram, key_6_spm)] == 5883136
assert dict_cycles[(key_2_dram, key_1_spm)] == 5876352
assert dict_cycles[(key_2_dram, key_2_spm)] == 5876352
assert dict_cycles[(key_2_dram, key_3_spm)] == 6021120
assert dict_cycles[(key_2_dram, key_4_spm)] == 5898240
assert dict_cycles[(key_2_dram, key_5_spm)] == 5876352
assert dict_cycles[(key_2_dram, key_6_spm)] == 5876352
assert dict_cycles[(key_3_dram, key_1_spm)] == 5872960
assert dict_cycles[(key_3_dram, key_2_spm)] == 5872960
assert dict_cycles[(key_3_dram, key_3_spm)] == 6021120
assert dict_cycles[(key_3_dram, key_4_spm)] == 5898240
assert dict_cycles[(key_3_dram, key_5_spm)] == 5872960
assert dict_cycles[(key_3_dram, key_6_spm)] == 5872960
assert dict_cycles[(key_4_dram, key_1_spm)] == 5222912
assert dict_cycles[(key_4_dram, key_2_spm)] == 5222912
assert dict_cycles[(key_4_dram, key_3_spm)] == 6021120
assert dict_cycles[(key_4_dram, key_4_spm)] == 5898240
assert dict_cycles[(key_4_dram, key_5_spm)] == 5860608
assert dict_cycles[(key_4_dram, key_6_spm)] == 5848320
assert dict_cycles[(key_5_dram, key_1_spm)] == 4806912
assert dict_cycles[(key_5_dram, key_2_spm)] == 5190912
assert dict_cycles[(key_5_dram, key_3_spm)] == 6021120
assert dict_cycles[(key_5_dram, key_4_spm)] == 5898240
assert dict_cycles[(key_5_dram, key_5_spm)] == 5860608
assert dict_cycles[(key_5_dram, key_6_spm)] == 5848320
| 45.344648 | 124 | 0.69062 | 2,999 | 17,367 | 3.568189 | 0.061687 | 0.138679 | 0.08831 | 0.112139 | 0.781796 | 0.754883 | 0.745538 | 0.719933 | 0.700869 | 0.604056 | 0 | 0.125755 | 0.170323 | 17,367 | 382 | 125 | 45.463351 | 0.616906 | 0.022514 | 0 | 0.109677 | 0 | 0 | 0.017565 | 0.001768 | 0 | 0 | 0 | 0 | 0.680645 | 1 | 0.016129 | false | 0.212903 | 0.009677 | 0 | 0.029032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
4bf8131668705fc748d030e0619523ce9cb7e345 | 3,973 | py | Python | test_add_group.py | IrinaLushkina/pyton_training | f8661428b3802ce466ec264aa1691547fb7aa4bf | [
"Apache-2.0"
] | null | null | null | test_add_group.py | IrinaLushkina/pyton_training | f8661428b3802ce466ec264aa1691547fb7aa4bf | [
"Apache-2.0"
] | null | null | null | test_add_group.py | IrinaLushkina/pyton_training | f8661428b3802ce466ec264aa1691547fb7aa4bf | [
"Apache-2.0"
] | null | null | null | {"id":"a059b4e0-ac6f-46ee-b4b8-e93c09e89f5b","name":"test_add_group","url":"https://www.rambler.ru","tests":[{"id":"7aa7a63f-a0cb-45f4-bbf3-109ab6faded8","name":"Untitled","commands":[]},{"id":"a4e30b8f-5ee7-4549-9201-cd689f8f86bc","name":"test_add_1","commands":[{"id":"c3408bd5-c890-4441-950c-cdc8d7d75480","comment":"","command":"open","target":"/","value":""},{"id":"de8888c1-be4f-4cd3-94a8-0140fd303f67","comment":"","command":"clickAt","target":"name=email","value":"41,22"},{"id":"7b10996b-895c-40f2-b654-04cb462b67c8","comment":"","command":"type","target":"name=email","value":"tomirchic"},{"id":"b8b38689-7d9b-49e4-b014-011a333467a8","comment":"","command":"clickAt","target":"css=button._3vzf > svg","value":"NaN,NaN"},{"id":"0f8b5799-9c6a-4731-a31c-1c32fafc7a74","comment":"","command":"type","target":"name=password","value":"ierusalim"},{"id":"68193e40-8a29-4642-a31a-c399a892b9f4","comment":"","command":"clickAt","target":"css=div.imyh._3EZH > button._3vzf > svg","value":"NaN,NaN"},{"id":"6bd71978-f96b-44cc-8378-f35e64135116","comment":"","command":"selectFrame","target":"index=8","value":""},{"id":"1fd5ebe5-2cbf-4a20-87fc-199d112f7ad9","comment":"","command":"clickAt","target":"css=div.recaptcha-checkbox-checkmark","value":"12,21"},{"id":"b6b66c54-19d4-4fee-a5cf-a55ee2ba0877","comment":"","command":"selectFrame","target":"relative=parent","value":""},{"id":"daa54967-fb27-4cc3-a5ff-2ba447be8f65","comment":"","command":"mouseOver","target":"//main[@id='main']/div[4]/header/div/div[3]/div/div[2]/div[2]/span/a/span[2]","value":""},{"id":"3c4d2dbb-3285-4d03-bfb0-d1d60936e0ba","comment":"","command":"clickAt","target":"//main[@id='main']/div[4]/header/div/div[3]/div/div[2]/div[2]/span/a/span[2]","value":"36,5"},{"id":"97f389d5-d8f0-4ef9-95d1-0f017a80fe7d","comment":"","command":"mouseOver","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[2]/div/a","value":""},{"id":"7fc02f09-8048-4207-a8b1-a2dfd6a9ca37","comment":"","command":"mouseOut","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[2]/div/a","value":""},{"id":"26912617-5048-4352-9629-6a35f1cf5ed8","comment":"","command":"mouseOver","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[2]/div/a/span[2]","value":""},{"id":"41c027f5-3ec5-408e-9dc3-ab346d468c5e","comment":"","command":"mouseOut","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[2]/div/a/span[2]","value":""},{"id":"bdb46510-b70b-4944-a6a9-d1c389df3b20","comment":"","command":"mouseOver","target":"css=span.Item-title-Ks","value":""},{"id":"2407fb03-f0cb-4bc5-aae2-75ac805e1933","comment":"","command":"mouseOut","target":"css=span.Item-title-Ks","value":""},{"id":"4261c681-5aa1-4174-b1ef-2b440e980cdd","comment":"","command":"mouseOver","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[5]/div/a/span[2]","value":""},{"id":"e64e83ad-78e6-4f51-bdfc-d1c5987ff991","comment":"","command":"mouseOut","target":"//div[@id='app']/div/div[3]/div[2]/div/div/div/ul/li[5]/div/a/span[2]","value":""},{"id":"d8d05eec-0276-4c22-aedb-1e5721fcc43d","comment":"","command":"mouseOver","target":"css=span.NewFolderLink-title-3l","value":""},{"id":"0bd7be67-2f9b-4905-9a2d-383bc1e5fba2","comment":"","command":"mouseOut","target":"css=span.NewFolderLink-title-3l","value":""},{"id":"2fcf50b6-6830-49f6-9da4-afa6e8640cfd","comment":"","command":"clickAt","target":"css=span.NewFolderLink-icon--J > svg > path","value":"NaN,NaN"},{"id":"e147025d-f335-43d0-a61b-8cf46dd1a2e9","comment":"","command":"type","target":"name=folderName","value":"TestFolder"},{"id":"37f7e4ec-c71f-496e-8f82-7e336ed7e12a","comment":"","command":"clickAt","target":"//html[@id='js']/body/div[5]/div/div/form/button/div","value":"-173,-129"},{"id":"188ec513-ed4f-4825-8f26-049d7a727720","comment":"","command":"clickAt","target":"css=div.Profile-exit-2_","value":"8,11"}]}],"suites":[{"id":"3f44e6df-68e1-4ff8-b1e8-3ce0b67cf25b","name":"Default Suite","tests":[]}],"urls":["https://www.rambler.ru"]} | 3,973 | 3,973 | 0.668009 | 557 | 3,973 | 4.750449 | 0.40754 | 0.132275 | 0.063492 | 0.081633 | 0.416478 | 0.3613 | 0.289872 | 0.270219 | 0.216553 | 0.216553 | 0 | 0.160273 | 0.002769 | 3,973 | 1 | 3,973 | 3,973 | 0.507572 | 0 | 0 | 0 | 0 | 9 | 0.774283 | 0.463261 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
ef04231863fe8058fd281c1501dc74d260978f65 | 68,691 | py | Python | test/python/set_view/replica_index.py | comforx/couchdb | 88cdd2241ed6b17b39f5e9387b503a3f300527b5 | [
"Apache-2.0"
] | 1 | 2019-01-19T15:53:50.000Z | 2019-01-19T15:53:50.000Z | test/python/set_view/replica_index.py | comforx/couchdb | 88cdd2241ed6b17b39f5e9387b503a3f300527b5 | [
"Apache-2.0"
] | null | null | null | test/python/set_view/replica_index.py | comforx/couchdb | 88cdd2241ed6b17b39f5e9387b503a3f300527b5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
try: import simplejson as json
except ImportError: import json
import couchdb
import httplib
import urllib
import common
import unittest
import time
HOST = "localhost:5984"
SET_NAME = "test_suite_set_view"
NUM_PARTS = 8
NUM_DOCS = 400000
DDOC = {
"_id": "_design/test",
"language": "javascript",
"views": {
"mapview": {
"map": "function(doc) { emit(doc.integer, doc.string); }"
},
"redview": {
"map": "function(doc) { emit(doc.integer, doc.string); }",
"reduce": "_count"
}
}
}
class TestReplicaIndex(unittest.TestCase):
def setUp(self):
self._params = {
"host": HOST,
"ddoc": DDOC,
"nparts": NUM_PARTS,
"ndocs": NUM_DOCS,
"setname": SET_NAME,
"server": couchdb.Server(url = "http://" + HOST)
}
# print "Creating databases"
common.create_dbs(self._params)
common.populate(self._params)
# print "Databases created"
# print "Configuring set view with:"
# print "\tmaximum of 8 partitions"
# print "\tactive partitions = [0, 1, 2, 3]"
# print "\tpassive partitions = []"
# print "\treplica index = True"
active_parts = [0, 1, 2, 3]
common.define_set_view(self._params, active_parts, [], True)
def tearDown(self):
# print "Deleting test data"
common.create_dbs(self._params, True)
def test_replica_index(self):
# print "Querying map view in steady state"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(view_result["total_rows"], expected_row_count,
"Query returned %d total_rows" % expected_row_count)
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
# print "verifying group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [],
"main group has [] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(sorted(info["update_seqs"].keys()), ["0", "1", "2", "3"],
"right keys in update_seqs of the main index")
for i in [0, 1, 2, 3]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d" % (expected_seq, i + 1))
self.assertEqual(type(info["replica_group_info"]), dict, "group has replica_group_info")
self.assertEqual(info["replica_group_info"]["max_number_partitions"], 8,
"replica group defined with maximum of 8 partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [],
"replica group has no passive partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
self.assertEqual(info["replica_group_info"]["update_seqs"].keys(), [],
"replica group update_seqs is empty")
self.assertEqual(info["replica_group_info"]["stats"]["partial_updates"], 0,
"replica group has 0 partial updates")
self.assertEqual(info["replica_group_info"]["stats"]["updates"], 0,
"replica group has 0 full updates")
# print "defining partitions [4, 5, 6, 7] as replicas"
common.add_replica_partitions(self._params, [4, 5, 6, 7])
# print "verifying group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 5, 6, 7],
"replica group has [4, 5, 6, 7] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "waiting for replica index to update"
seconds = 0
while info["replica_group_info"]["stats"]["updates"] < 1:
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for replica index full update"))
info = common.get_set_view_info(self._params)
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["4", "5", "6", "7"],
"replica group update_seqs has keys [4, 5, 6, 7]")
for i in [4, 5, 6, 7]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["replica_group_info"]["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for replica partition %d" % (expected_seq, i + 1))
# print "Querying map view after marking partitions [4, 5, 6, 7] as replicas (not yet active)"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [4, 5, 6, 7] as replicas (not yet active)"
(resp, red_view_result_nogroup) = common.query(self._params, "redview")
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [4, 5, 6, 7] as replicas (not yet active)"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
new_info = common.get_set_view_info(self._params)
common.restart_server(self._params)
# print "Querying map view again after immediately after restarting the server"
(resp, view_result_after) = common.query(self._params, "mapview")
self.assertEqual(view_result_after["rows"], view_result["rows"],
"Same view rows after server restart")
# print "Querying reduce view, with ?group=false, after restarting the server"
(resp, red_view_result_nogroup_after) = common.query(self._params, "redview")
self.assertEqual(red_view_result_nogroup_after["rows"],
red_view_result_nogroup["rows"],
"Same view result as before")
# print "Querying reduce view, with ?group=true, after restarting the server"
(resp, red_view_result_group_after) = common.query(self._params, "redview", {"group": "true"})
self.assertEqual(red_view_result_group_after["rows"],
red_view_result_group["rows"],
"Same view result as before")
# print "removing partitions [5, 7] from replica set"
common.remove_replica_partitions(self._params, [5, 7])
# print "verifying group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 6],
"main group has [4, 6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 6],
"replica group has [4, 6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [5, 7],
"replica group has [5, 7] as cleanup partitions")
# print "waiting for replica index to finish cleanup"
seconds = 0
while info["replica_group_info"]["stats"]["cleanups"] < 1:
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for replica index cleanup"))
info = common.get_set_view_info(self._params)
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 6],
"replica group has [4, 6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has [] as cleanup partitions")
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["4", "6"],
"replica group update_seqs has keys [4, 6")
new_info = common.get_set_view_info(self._params)
self.restart_compare_info(info, new_info)
info = common.get_set_view_info(self._params)
updates_before = info["replica_group_info"]["stats"]["updates"]
# print "defining partitions [5, 7] as replicas again"
common.add_replica_partitions(self._params, [5, 7])
# print "verifying group info"
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 5, 6, 7],
"replica group has [4, 5, 6, 7] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "waiting for replica index to index partitions 5 and 7"
seconds = 0
while info["replica_group_info"]["stats"]["updates"] < (updates_before + 1):
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for replica index full update"))
info = common.get_set_view_info(self._params)
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["4", "5", "6", "7"],
"replica group update_seqs has keys [4, 5, 6, 7]")
for i in [4, 5, 6, 7]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["replica_group_info"]["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for replica partition %d" % (expected_seq, i + 1))
# print "Querying map view after marking partitions [5, 7] as replicas again (not yet active)"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [5, 7] as replicas again (not yet active)"
(resp, red_view_result_nogroup) = common.query(self._params, "redview")
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [5, 7] as replicas again (not yet active)"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Marking partitions [4, 5, 7] as active (to be transferred from replica to main index)"
common.set_partition_states(self._params, active = [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [4, 5, 7], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [4, 5, 7],
"main group has [4, 5, 7] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [4, 5, 7],
"replica group has [4, 5, 7] as active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "Querying map view with ?stale=update_after to trigger transferral of" + \
# " replica partitions [4, 5, 7] from replica index to main index"
updates_before = info["stats"]["updates"]
(resp, view_result) = common.query(self._params, "mapview", {"stale": "update_after"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(7, common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7]), self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
# print "Querying reduce view, with ?group=false, after triggering transfer of replica partitions [4, 5, 7]"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after triggering transfer of replica partitions [4, 5, 7]"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
# print "Waiting for transferral of replica partitions [4, 5, 7] into main index"
info = common.get_set_view_info(self._params)
seconds = 0
while info["stats"]["updates"] < (updates_before + 1):
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for transfer of replica partitions [4, 5, 7]"))
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3, 4, 5, 7], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has [] as active partitions")
self.assertEqual(sorted(info["update_seqs"].keys()), ["0", "1", "2", "3", "4", "5", "7"],
"Right list of update seqs for main group")
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["6"],
"Right list of update seqs for replica group")
for i in [0, 1, 2, 3, 4, 5, 7]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in main group" % (expected_seq, i + 1))
for i in [6]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["replica_group_info"]["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in replica group" % (expected_seq, i + 1))
# print "Querying map view after replica partitions were transferred"
(resp, view_result_after) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(view_result_after["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
self.assertEqual(len(view_result_after["rows"]), len(view_result["rows"]),
"Same number of view rows after replica partitions were transferred")
for i in xrange(len(view_result_after["rows"])):
self.assertEqual(view_result_after["rows"][i], view_result["rows"][i],
"Row %d has same content after replica partitions were transferred" % (i + 1))
# print "Querying reduce view, with ?group=false, after replica partitions were transferred"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after replica partitions were transferred"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 7])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
# print "Marking partitions [4, 5, 7] for cleanup in the main group"
common.set_partition_states(self._params, cleanup = [4, 5, 7])
# print "Waiting for cleanup (compaction) to finish"
common.compact_set_view(self._params)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has [] active partitions")
# print "Querying map view after marking partitions [4, 5, 7] for cleanup in the main group"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [4, 5, 7] for cleanup in the main group"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [4, 5, 7] for cleanup in the main group"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "defining partitions [4, 5, 7] as replicas again"
common.add_replica_partitions(self._params, [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 5, 6, 7],
"replica group has [4, 5, 6, 7] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "removing partitions [4, 5, 7] from replica set again"
common.remove_replica_partitions(self._params, [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [4, 5, 7],
"replica group has [4, 5, 7] as cleanup partitions")
# print "defining partitions [4, 5, 7] as replicas again"
common.add_replica_partitions(self._params, [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 5, 6, 7],
"replica group has [4, 5, 6, 7] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "Querying map view after marking partitions [4, 5, 7] as replicas (not active)"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [4, 5, 7] as replicas (not active)"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [4, 5, 7] as replicas (not active)"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Marking partitions [4, 5, 7] as active (to be transferred from replica to main index)"
common.set_partition_states(self._params, active = [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [4, 5, 7], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [4, 5, 7],
"main group has [4, 5, 7] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [4, 5, 7],
"replica group has [4, 5, 7] as active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "Querying view with ?stale=update_after to trigger transferral of" + \
# " replica partitions [4, 5, 7] from replica index to main index"
updates_before = info["stats"]["updates"]
(resp, view_result) = common.query(self._params, "mapview", {"stale": "update_after", "limit": "1"})
# print "unmarking partitions [4, 5] as replicas while partitions [4, 5, 7] are being transferred from replica to main group"
common.remove_replica_partitions(self._params, [4, 5])
# print "Waiting for transferral of replica partitions [7] into main index"
info = common.get_set_view_info(self._params)
seconds = 0
while info["stats"]["updates"] < (updates_before + 1):
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for transfer of replica partitions [7]"))
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3, 7], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has [] as active partitions")
self.assertEqual(sorted(info["update_seqs"].keys()), ["0", "1", "2", "3", "7"],
"Right list of update seqs for main group")
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["6"],
"Right list of update seqs for replica group")
for i in [0, 1, 2, 3, 7]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in main group" % (expected_seq, i + 1))
for i in [6]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["replica_group_info"]["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in replica group" % (expected_seq, i + 1))
# print "Querying map view after removing replica partitions [4, 5]"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 7 in view result")
# print "Querying reduce view, with ?group=false, after removing replica partitions [4, 5]"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after removing replica partitions [4, 5]"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 7 in view result")
# print "Marking partitions [7] for cleanup in the main group"
common.set_partition_states(self._params, cleanup = [7])
# print "Waiting for cleanup (compaction) to finish"
common.compact_set_view(self._params)
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has [] active partitions")
# print "Querying map view after removing replica partitions [7]"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after removing replica partitions [7]"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after removing replica partitions [7]"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "defining partitions [4, 5, 7] as replicas again"
common.add_replica_partitions(self._params, [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [],
"main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [4, 5, 6, 7],
"replica group has [4, 5, 6, 7] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has no active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "Querying map view after marking partitions [4, 5, 7] as replicas (not yet active)"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [4, 5, 7] as replicas (not yet active)"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [4, 5, 7] as replicas (not yet active)"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 7 not in view result")
# print "Marking partitions [4, 5, 7] as active (to be transferred from replica to main index)"
common.set_partition_states(self._params, active = [4, 5, 7])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [4, 5, 7], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [4, 5, 6, 7],
"main group has [4, 5, 6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [4, 5, 7],
"main group has [4, 5, 7] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [4, 5, 7],
"replica group has [4, 5, 7] as active partitions")
self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [],
"replica group has no cleanup partitions")
# print "Querying view with ?stale=update_after to trigger transferral of" + \
# " replica partitions [4, 5, 7] from replica index to main index"
updates_before = info["stats"]["updates"]
(resp, view_result) = common.query(self._params, "mapview", {"stale": "update_after", "limit": "1"})
# print "marking partitions [4, 5] for cleanup while partitions [4, 5, 7] are being transferred from replica to main group"
common.set_partition_states(self._params, cleanup = [4, 5])
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3], "right active partitions list")
self.assertEqual(info["passive_partitions"], [7], "right passive partitions list")
# Not tested due to race conditions
# self.assertEqual(info["cleanup_partitions"], [4, 5], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6, 7],
"main group has [6, 7] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [7],
"main group has [7] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [7],
"replica group has [7] as active partitions")
# Not tested due to race conditions
# self.assertEqual(info["replica_group_info"]["cleanup_partitions"], [4, 5],
# "replica group has [4, 5] as cleanup partitions")
# print "Waiting for transferral of replica partitions [7] into main index"
info = common.get_set_view_info(self._params)
seconds = 0
while info["stats"]["updates"] < (updates_before + 1):
time.sleep(5)
seconds += 5
if seconds > 900:
raise(Exception("timeout waiting for transfer of replica partitions [7]"))
info = common.get_set_view_info(self._params)
self.assertEqual(info["active_partitions"], [0, 1, 2, 3, 7], "right active partitions list")
self.assertEqual(info["passive_partitions"], [], "right passive partitions list")
self.assertEqual(info["cleanup_partitions"], [], "right cleanup partitions list")
self.assertEqual(info["replica_partitions"], [6], "main group has [6] as replica partitions")
self.assertEqual(info["replicas_on_transfer"], [], "main group has [] as replicas on transfer")
self.assertEqual(info["replica_group_info"]["passive_partitions"], [6],
"replica group has [6] as passive partitions")
self.assertEqual(info["replica_group_info"]["active_partitions"], [],
"replica group has [] as active partitions")
self.assertEqual(sorted(info["update_seqs"].keys()), ["0", "1", "2", "3", "7"],
"Right list of update seqs for main group")
self.assertEqual(sorted(info["replica_group_info"]["update_seqs"].keys()), ["6"],
"Right list of update seqs for replica group")
for i in [0, 1, 2, 3, 7]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in main group" % (expected_seq, i + 1))
for i in [6]:
expected_seq = common.partition_update_seq(self._params, i)
self.assertEqual(info["replica_group_info"]["update_seqs"][str(i)], expected_seq,
"right update seq number (%d) for partition %d in replica group" % (expected_seq, i + 1))
# print "Querying map view after marking partitions [4, 5] for cleanup"
(resp, view_result) = common.query(self._params, "mapview")
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(view_result["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(view_result)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in view_result["rows"]:
all_keys[row["key"]] = row["value"]
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 7 in view result")
# print "Querying reduce view, with ?group=false, after marking partitions [4, 5] for cleanup"
(resp, red_view_result_nogroup) = common.query(self._params, "redview", {"stale": "ok"})
expected_reduce_value = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(red_view_result_nogroup["rows"]), 1, "Query returned 1 row")
self.assertTrue(red_view_result_nogroup["rows"][0]["key"] is None, "Key is null")
self.assertEqual(red_view_result_nogroup["rows"][0]["value"], expected_reduce_value,
"Reduce value is %d with ?group=false" % expected_reduce_value)
# print "Querying reduce view, with ?group=true, after marking partitions [4, 5] for cleanup"
(resp, red_view_result_group) = common.query(self._params, "redview", {"group": "true", "stale": "ok"})
expected_row_count = common.set_doc_count(self._params, [0, 1, 2, 3, 7])
self.assertEqual(len(red_view_result_group["rows"]), expected_row_count,
"Query returned %d rows" % expected_row_count)
common.test_keys_sorted(red_view_result_group)
doc_count = common.set_doc_count(self._params, [0, 1, 2, 3, 4, 5, 6, 7])
all_keys = {}
for row in red_view_result_group["rows"]:
all_keys[row["key"]] = row["value"]
self.assertEqual(row["value"], 1, "Value for key %d is 1" % row["key"])
for key in xrange(1, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 0 in view result")
for key in xrange(2, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 1 in view result")
for key in xrange(3, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 2 in view result")
for key in xrange(4, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 3 in view result")
for key in xrange(5, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 4 not in view result")
for key in xrange(6, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 5 not in view result")
for key in xrange(7, doc_count, self._params["nparts"]):
self.assertFalse(key in all_keys, "Key from partition 6 not in view result")
for key in xrange(8, doc_count, self._params["nparts"]):
self.assertTrue(key in all_keys, "Key from partition 7 in view result")
def restart_compare_info(self, info_before, info_after):
# print "Restarting server"
time.sleep(1)
common.restart_server(self._params)
del info_before["stats"]
del info_before["replica_group_info"]["stats"]
del info_after["stats"]
del info_after["replica_group_info"]["stats"]
self.assertEqual(info_after, info_before, "same index state after server restart")
| 61.828083 | 133 | 0.626647 | 9,188 | 68,691 | 4.500327 | 0.022094 | 0.060703 | 0.045273 | 0.06791 | 0.960894 | 0.94827 | 0.937774 | 0.929648 | 0.915911 | 0.905076 | 0 | 0.022847 | 0.247471 | 68,691 | 1,110 | 134 | 61.883784 | 0.777064 | 0.083563 | 0 | 0.865604 | 0 | 0 | 0.283792 | 0.000334 | 0 | 0 | 0 | 0 | 0.370159 | 1 | 0.004556 | false | 0.058087 | 0.009112 | 0 | 0.014806 | 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 |
ef396b6786f6ac953b59378fc0a8c6561eadcdd2 | 121 | py | Python | tests/test_root_privileges.py | R3tr074/Burn-Byte | 6e82aa2d38460ffc299c387a652a1441aef49240 | [
"CC0-1.0"
] | 50 | 2020-10-04T07:25:35.000Z | 2022-02-24T03:52:16.000Z | tests/test_root_privileges.py | R3tr074/Burn-Byte | 6e82aa2d38460ffc299c387a652a1441aef49240 | [
"CC0-1.0"
] | 4 | 2021-06-08T13:17:18.000Z | 2022-01-13T13:37:37.000Z | tests/test_root_privileges.py | R3tr074/Burn-Byte | 6e82aa2d38460ffc299c387a652a1441aef49240 | [
"CC0-1.0"
] | 4 | 2020-10-05T02:32:06.000Z | 2021-01-31T23:25:47.000Z | from bin.addons.utils import root_privileges
def test_root_privileges():
assert root_privileges() == False or True
| 20.166667 | 45 | 0.77686 | 17 | 121 | 5.294118 | 0.764706 | 0.466667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14876 | 121 | 5 | 46 | 24.2 | 0.873786 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
ef44bb6bab6915bcd4d6c5cef2540784a2059337 | 667 | py | Python | swagccg/__init__.py | erkandem/swagccg-py2py | 7e388f980f5d47ac6ff202b8ed0818e50c7be574 | [
"BSD-3-Clause"
] | null | null | null | swagccg/__init__.py | erkandem/swagccg-py2py | 7e388f980f5d47ac6ff202b8ed0818e50c7be574 | [
"BSD-3-Clause"
] | null | null | null | swagccg/__init__.py | erkandem/swagccg-py2py | 7e388f980f5d47ac6ff202b8ed0818e50c7be574 | [
"BSD-3-Clause"
] | null | null | null | try:
from .src import (
client_point_of_execution_f,
client_method_template_f,
client_class_def_template_f,
client_imports_f
)
from .src import (
main,
convert_to_snake_case,
create_client_endpoints,
seems_like_a_url
)
except ImportError:
from swagccg.src import (
client_point_of_execution_f,
client_method_template_f,
client_class_def_template_f,
client_imports_f
)
from swagccg.src import (
main,
convert_to_snake_case,
create_client_endpoints,
seems_like_a_url
)
print('Alternative import used')
| 21.516129 | 36 | 0.641679 | 79 | 667 | 4.886076 | 0.392405 | 0.108808 | 0.15544 | 0.103627 | 0.823834 | 0.823834 | 0.823834 | 0.823834 | 0.823834 | 0.823834 | 0 | 0 | 0.313343 | 667 | 30 | 37 | 22.233333 | 0.842795 | 0 | 0 | 0.740741 | 0 | 0 | 0.034586 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.296296 | 0 | 0.296296 | 0.037037 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
3269a1dd2b48b5f44fb7c594ce3fbf1688cf5099 | 93 | py | Python | shenanigan/models/__init__.py | deepmagd/shenaniGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | 1 | 2019-12-13T22:32:50.000Z | 2019-12-13T22:32:50.000Z | shenanigan/models/__init__.py | deepmagd/shenaniGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | 40 | 2020-05-05T08:16:31.000Z | 2022-03-12T00:19:16.000Z | shenanigan/models/__init__.py | deepmagd/TexrayGAN | 02f83aec1291c2a2a8821b3a0c162264075157bb | [
"MIT"
] | null | null | null | from .core import ConditionalGAN
from .core import Generator
from .core import Discriminator
| 23.25 | 32 | 0.83871 | 12 | 93 | 6.5 | 0.5 | 0.307692 | 0.538462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 93 | 3 | 33 | 31 | 0.962963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
328f116d2d174e153ba27bd184d89acff3415118 | 26,509 | py | Python | trainers/shadow_relight_trainer.py | NeilDG/NeuralNets-Experiment3 | f0d2f788eeca49f803f65810c155491ce687cf9e | [
"MIT"
] | null | null | null | trainers/shadow_relight_trainer.py | NeilDG/NeuralNets-Experiment3 | f0d2f788eeca49f803f65810c155491ce687cf9e | [
"MIT"
] | null | null | null | trainers/shadow_relight_trainer.py | NeilDG/NeuralNets-Experiment3 | f0d2f788eeca49f803f65810c155491ce687cf9e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Shading trainer used for training.
import kornia
from model import ffa_gan as ffa
from model import vanilla_cycle_gan as cycle_gan
from model import unet_gan
import constants
import torch
import torch.cuda.amp as amp
import itertools
import numpy as np
import torch.nn as nn
from utils import plot_utils
from utils import tensor_utils
from custom_losses import ssim_loss
import lpips
class ShadowRelightTrainer:
def __init__(self, gpu_device, opts, use_bce):
self.gpu_device = gpu_device
self.g_lr = opts.g_lr
self.d_lr = opts.d_lr
self.use_bce = use_bce
self.lpips_loss = lpips.LPIPS(net='vgg').to(self.gpu_device)
self.ssim_loss = ssim_loss.SSIM()
self.l1_loss = nn.L1Loss()
self.bce_loss = nn.BCEWithLogitsLoss()
num_blocks = opts.num_blocks
self.batch_size = opts.batch_size
net_config = opts.net_config
if (net_config == 1):
self.G_A = cycle_gan.Generator(input_nc=2, output_nc=1, n_residual_blocks=num_blocks).to(self.gpu_device)
elif (net_config == 2):
self.G_A = unet_gan.UnetGenerator(input_nc=2, output_nc=1, num_downs=num_blocks).to(self.gpu_device)
else:
self.G_A = cycle_gan.Generator(input_nc=2, output_nc=1, n_residual_blocks=num_blocks, has_dropout=False).to(self.gpu_device)
self.D_A = cycle_gan.Discriminator(input_nc=1, use_bce=self.use_bce).to(self.gpu_device) # use CycleGAN's discriminator
self.visdom_reporter = plot_utils.VisdomReporter()
self.optimizerG = torch.optim.Adam(itertools.chain(self.G_A.parameters()), lr=self.g_lr)
self.optimizerD = torch.optim.Adam(itertools.chain(self.D_A.parameters()), lr=self.d_lr)
self.schedulerG = torch.optim.lr_scheduler.ReduceLROnPlateau(self.optimizerG, patience=100000 / self.batch_size, threshold=0.00005)
self.schedulerD = torch.optim.lr_scheduler.ReduceLROnPlateau(self.optimizerD, patience=100000 / self.batch_size, threshold=0.00005)
self.initialize_dict()
self.fp16_scaler = amp.GradScaler() # for automatic mixed precision
def initialize_dict(self):
# what to store in visdom?
self.losses_dict = {}
self.losses_dict[constants.G_LOSS_KEY] = []
self.losses_dict[constants.D_OVERALL_LOSS_KEY] = []
self.losses_dict[constants.LIKENESS_LOSS_KEY] = []
self.losses_dict[constants.LPIP_LOSS_KEY] = []
self.losses_dict[constants.SSIM_LOSS_KEY] = []
self.losses_dict[constants.G_ADV_LOSS_KEY] = []
self.losses_dict[constants.D_A_FAKE_LOSS_KEY] = []
self.losses_dict[constants.D_A_REAL_LOSS_KEY] = []
self.caption_dict = {}
self.caption_dict[constants.G_LOSS_KEY] = "G loss per iteration"
self.caption_dict[constants.D_OVERALL_LOSS_KEY] = "D loss per iteration"
self.caption_dict[constants.LIKENESS_LOSS_KEY] = "L1 loss per iteration"
self.caption_dict[constants.LPIP_LOSS_KEY] = "LPIPS loss per iteration"
self.caption_dict[constants.SSIM_LOSS_KEY] = "SSIM loss per iteration"
self.caption_dict[constants.G_ADV_LOSS_KEY] = "G adv loss per iteration"
self.caption_dict[constants.D_A_FAKE_LOSS_KEY] = "D(A) fake loss per iteration"
self.caption_dict[constants.D_A_REAL_LOSS_KEY] = "D(A) real loss per iteration"
def normalize(self, light_angle):
std = light_angle / 360.0
min = -1.0
max = 1.0
scaled = std * (max - min) + min
return scaled
def adversarial_loss(self, pred, target):
if (self.use_bce == 0):
return self.l1_loss(pred, target)
else:
return self.bce_loss(pred, target)
def l1_loss(self, pred, target):
return self.l1_loss(pred, target)
def bce_loss_term(self, pred, target):
return self.bce_loss(pred, target)
def lpip_loss(self, pred, target):
result = torch.squeeze(self.lpips_loss(pred, target))
result = torch.mean(result)
return result
def ssim_loss(self, pred, target):
return kornia.losses.ssim_loss(pred, target)
def update_penalties(self, adv_weight, l1_weight, lpip_weight, ssim_weight, bce_weight):
# what penalties to use for losses?
self.adv_weight = adv_weight
self.l1_weight = l1_weight
self.lpip_weight = lpip_weight
self.ssim_weight = ssim_weight
self.bce_weight = bce_weight
print("Version: ", constants.SHADOWMAP_RELIGHT_CHECKPATH)
print("Learning rate for G: ", str(self.g_lr))
print("Learning rate for D: ", str(self.d_lr))
print("====================================")
print("Adv weight: ", str(self.adv_weight))
print("Likeness weight: ", str(self.l1_weight))
print("LPIP weight: ", str(self.lpip_weight))
print("SSIM weight: ", str(self.ssim_weight))
print("BCE weight: ", str(self.bce_weight))
def prepare_input(self, a_tensor, light_angle):
# light_angle = self.normalize(light_angle)
# light_angle_tensor = torch.unsqueeze(torch.full_like(a_tensor[:, 0, :, :], light_angle), 1)
# print("Shapes: ", np.shape(a_tensor), np.shape(light_angle))
concat_input = torch.cat([a_tensor, light_angle], 1)
return concat_input
def train(self, a_tensor, b_tensor, light_angle):
with amp.autocast():
a2b = self.G_A(self.prepare_input(a_tensor, light_angle))
self.D_A.train()
self.optimizerD.zero_grad()
prediction = self.D_A(b_tensor)
real_tensor = torch.ones_like(prediction)
fake_tensor = torch.zeros_like(prediction)
# print("A2B shape: ", np.shape(a2b))
D_A_real_loss = self.adversarial_loss(self.D_A(b_tensor), real_tensor) * self.adv_weight
D_A_fake_loss = self.adversarial_loss(self.D_A(a2b.detach()), fake_tensor) * self.adv_weight
errD = D_A_real_loss + D_A_fake_loss
self.fp16_scaler.scale(errD).backward()
if (self.fp16_scaler.scale(errD).item() > 0.2):
self.fp16_scaler.step(self.optimizerD)
self.schedulerD.step(errD)
self.G_A.train()
self.optimizerG.zero_grad()
a2b = self.G_A(self.prepare_input(a_tensor, light_angle))
likeness_loss = self.l1_loss(a2b, b_tensor) * self.l1_weight
lpip_loss = self.lpip_loss(a2b, b_tensor) * self.lpip_weight
ssim_loss = self.ssim_loss(a2b, b_tensor) * self.ssim_weight
bce_loss_val = self.bce_loss_term(a2b, b_tensor) * self.bce_weight
prediction = self.D_A(a2b)
real_tensor = torch.ones_like(prediction)
A_adv_loss = self.adversarial_loss(prediction, real_tensor) * self.adv_weight
errG = A_adv_loss + likeness_loss + lpip_loss + ssim_loss + bce_loss_val
self.fp16_scaler.scale(errG).backward()
self.fp16_scaler.step(self.optimizerG)
self.schedulerG.step(errG)
self.fp16_scaler.update()
# what to put to losses dict for visdom reporting?
self.losses_dict[constants.G_LOSS_KEY].append(errG.item())
self.losses_dict[constants.D_OVERALL_LOSS_KEY].append(errD.item())
self.losses_dict[constants.LIKENESS_LOSS_KEY].append(likeness_loss.item())
self.losses_dict[constants.LPIP_LOSS_KEY].append(lpip_loss.item())
self.losses_dict[constants.SSIM_LOSS_KEY].append(ssim_loss.item())
self.losses_dict[constants.G_ADV_LOSS_KEY].append(A_adv_loss.item())
self.losses_dict[constants.D_A_FAKE_LOSS_KEY].append(D_A_fake_loss.item())
self.losses_dict[constants.D_A_REAL_LOSS_KEY].append(D_A_real_loss.item())
def test(self, a_tensor, light_angle):
with torch.no_grad():
a2b = self.G_A(self.prepare_input(a_tensor, light_angle))
return a2b
def visdom_plot(self, iteration):
self.visdom_reporter.plot_finegrain_loss("a2b_loss", iteration, self.losses_dict, self.caption_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH)
def visdom_visualize(self, a_tensor, b_tensor, light_angle, a_test, b_test, light_angle_test):
with torch.no_grad():
a2b = self.G_A(self.prepare_input(a_tensor, light_angle))
test_a2b = self.G_A(self.prepare_input(a_test, light_angle_test))
self.visdom_reporter.plot_image(a_tensor, "Training A images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(a2b, "Training A2B images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(b_tensor, "B images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(a_test, "Test A images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(test_a2b, "Test A2B images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(b_test, "Test B images - " + constants.SHADOWMAP_RELIGHT_VERSION + constants.ITERATION)
def load_saved_state(self, checkpoint):
self.G_A.load_state_dict(checkpoint[constants.GENERATOR_KEY + "A"])
self.D_A.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + "A"])
self.optimizerG.load_state_dict(checkpoint[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY])
self.optimizerD.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY])
self.schedulerG.load_state_dict(checkpoint[constants.GENERATOR_KEY + "scheduler"])
self.schedulerD.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + "scheduler"])
def save_states_checkpt(self, epoch, iteration, last_metric):
save_dict = {'epoch': epoch, 'iteration': iteration, constants.LAST_METRIC_KEY: last_metric}
netGA_state_dict = self.G_A.state_dict()
netDA_state_dict = self.D_A.state_dict()
optimizerG_state_dict = self.optimizerG.state_dict()
optimizerD_state_dict = self.optimizerD.state_dict()
schedulerG_state_dict = self.schedulerG.state_dict()
schedulerD_state_dict = self.schedulerD.state_dict()
save_dict[constants.GENERATOR_KEY + "A"] = netGA_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "A"] = netDA_state_dict
save_dict[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY] = optimizerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY] = optimizerD_state_dict
save_dict[constants.GENERATOR_KEY + "scheduler"] = schedulerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "scheduler"] = schedulerD_state_dict
torch.save(save_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH + ".checkpt")
print("Saved model state: %s Epoch: %d" % (len(save_dict), (epoch + 1)))
def save_states(self, epoch, iteration, last_metric):
save_dict = {'epoch': epoch, 'iteration': iteration, constants.LAST_METRIC_KEY: last_metric}
netGA_state_dict = self.G_A.state_dict()
netDA_state_dict = self.D_A.state_dict()
optimizerG_state_dict = self.optimizerG.state_dict()
optimizerD_state_dict = self.optimizerD.state_dict()
schedulerG_state_dict = self.schedulerG.state_dict()
schedulerD_state_dict = self.schedulerD.state_dict()
save_dict[constants.GENERATOR_KEY + "A"] = netGA_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "A"] = netDA_state_dict
save_dict[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY] = optimizerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY] = optimizerD_state_dict
save_dict[constants.GENERATOR_KEY + "scheduler"] = schedulerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "scheduler"] = schedulerD_state_dict
torch.save(save_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH)
print("Saved model state: %s Epoch: %d" % (len(save_dict), (epoch + 1)))
class ShadowCustomGeneratorV1(cycle_gan.Generator):
def __init__(self, input_nc=3, output_nc=3, downsampling_blocks = 2, n_residual_blocks=6, has_dropout = True):
cycle_gan.Generator.__init__(self, input_nc, output_nc, downsampling_blocks, n_residual_blocks, has_dropout)
def set_shadow_input(self, input_shadow_tensor):
self.input_shadow_tensor = input_shadow_tensor
def forward(self, x):
return super().forward(x) * self.input_shadow_tensor
class ShadowCustomGeneratorV2(unet_gan.UnetGenerator):
def __init__(self, input_nc, output_nc, num_downs, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, gpu_ids=[]):
unet_gan.UnetGenerator.__init__(self, input_nc, output_nc, num_downs, ngf, norm_layer, use_dropout, gpu_ids)
def set_shadow_input(self, input_shadow_tensor):
self.input_shadow_tensor = input_shadow_tensor
def forward(self, x):
return super().forward(x) * self.input_shadow_tensor
class ShadowRelightTrainerRGB:
def __init__(self, gpu_device, opts, use_bce):
self.gpu_device = gpu_device
self.g_lr = opts.g_lr
self.d_lr = opts.d_lr
self.use_bce = use_bce
self.default_light_color = "255,255,255"
self.lpips_loss = lpips.LPIPS(net='vgg').to(self.gpu_device)
self.ssim_loss = ssim_loss.SSIM()
self.l1_loss = nn.L1Loss()
self.bce_loss = nn.BCEWithLogitsLoss()
num_blocks = opts.num_blocks
self.batch_size = opts.batch_size
net_config = opts.net_config
if (net_config == 1):
self.G_A = cycle_gan.Generator(input_nc=5, output_nc=1, n_residual_blocks=num_blocks).to(self.gpu_device)
elif (net_config == 2):
self.G_A = unet_gan.UnetGenerator(input_nc=5, output_nc=1, num_downs=num_blocks).to(self.gpu_device)
elif(net_config == 3):
self.G_A = cycle_gan.Generator(input_nc=5, output_nc=1, n_residual_blocks=num_blocks, has_dropout=False).to(self.gpu_device)
elif (net_config == 4):
self.G_A = ShadowCustomGeneratorV1(input_nc=5, output_nc=1, n_residual_blocks=num_blocks, has_dropout=False).to(self.gpu_device)
else:
self.G_A = ShadowCustomGeneratorV2(input_nc=5, output_nc=1, num_downs=num_blocks).to(self.gpu_device)
self.D_A = cycle_gan.Discriminator(input_nc=1, use_bce=self.use_bce).to(self.gpu_device) # use CycleGAN's discriminator
self.visdom_reporter = plot_utils.VisdomReporter()
self.optimizerG = torch.optim.Adam(itertools.chain(self.G_A.parameters()), lr=self.g_lr)
self.optimizerD = torch.optim.Adam(itertools.chain(self.D_A.parameters()), lr=self.d_lr)
self.schedulerG = torch.optim.lr_scheduler.ReduceLROnPlateau(self.optimizerG, patience=100000 / self.batch_size, threshold=0.00005)
self.schedulerD = torch.optim.lr_scheduler.ReduceLROnPlateau(self.optimizerD, patience=100000 / self.batch_size, threshold=0.00005)
self.initialize_dict()
self.fp16_scaler = amp.GradScaler() # for automatic mixed precision
def initialize_dict(self):
# what to store in visdom?
self.losses_dict = {}
self.losses_dict[constants.G_LOSS_KEY] = []
self.losses_dict[constants.D_OVERALL_LOSS_KEY] = []
self.losses_dict[constants.LIKENESS_LOSS_KEY] = []
self.losses_dict[constants.LPIP_LOSS_KEY] = []
self.losses_dict[constants.SSIM_LOSS_KEY] = []
self.losses_dict[constants.G_ADV_LOSS_KEY] = []
self.losses_dict[constants.D_A_FAKE_LOSS_KEY] = []
self.losses_dict[constants.D_A_REAL_LOSS_KEY] = []
self.RGB_RECONSTRUCTION_LOSS_KEY = "RGB_RECONSTRUCTION_LOSS_KEY"
self.losses_dict[self.RGB_RECONSTRUCTION_LOSS_KEY] = []
self.caption_dict = {}
self.caption_dict[constants.G_LOSS_KEY] = "G loss per iteration"
self.caption_dict[constants.D_OVERALL_LOSS_KEY] = "D loss per iteration"
self.caption_dict[constants.LIKENESS_LOSS_KEY] = "L1 loss per iteration"
self.caption_dict[constants.LPIP_LOSS_KEY] = "LPIPS loss per iteration"
self.caption_dict[constants.SSIM_LOSS_KEY] = "SSIM loss per iteration"
self.caption_dict[constants.G_ADV_LOSS_KEY] = "G adv loss per iteration"
self.caption_dict[constants.D_A_FAKE_LOSS_KEY] = "D(A) fake loss per iteration"
self.caption_dict[constants.D_A_REAL_LOSS_KEY] = "D(A) real loss per iteration"
self.caption_dict[self.RGB_RECONSTRUCTION_LOSS_KEY] = "RGB Reconstruction loss per iteration"
def adversarial_loss(self, pred, target):
if (self.use_bce == 0):
return self.l1_loss(pred, target)
else:
return self.bce_loss(pred, target)
def l1_loss(self, pred, target):
return self.l1_loss(pred, target)
def bce_loss_term(self, pred, target):
return self.bce_loss(pred, target)
def lpip_loss(self, pred, target):
result = torch.squeeze(self.lpips_loss(pred, target))
result = torch.mean(result)
return result
def ssim_loss(self, pred, target):
return kornia.losses.ssim_loss(pred, target)
def update_penalties(self, adv_weight, l1_weight, lpip_weight, ssim_weight, bce_weight):
# what penalties to use for losses?
self.adv_weight = adv_weight
self.l1_weight = l1_weight
self.lpip_weight = lpip_weight
self.ssim_weight = ssim_weight
self.bce_weight = bce_weight
print("Version: ", constants.SHADOWMAP_RELIGHT_CHECKPATH)
print("Learning rate for G: ", str(self.g_lr))
print("Learning rate for D: ", str(self.d_lr))
print("====================================")
print("Adv weight: ", str(self.adv_weight))
print("Likeness weight: ", str(self.l1_weight))
print("LPIP weight: ", str(self.lpip_weight))
print("SSIM weight: ", str(self.ssim_weight))
print("BCE weight: ", str(self.bce_weight))
def prepare_input(self, input_shadow_tensor, input_rgb_tensor, light_angle):
# light_angle = self.normalize(light_angle)
# light_angle_tensor = torch.unsqueeze(torch.full_like(a_tensor[:, 0, :, :], light_angle), 1)
# print("Shapes: ", np.shape(a_tensor), np.shape(light_angle))
concat_input = torch.cat([input_shadow_tensor, input_rgb_tensor, light_angle], 1)
return concat_input
def train(self, input_rgb_tensor, input_shadow_tensor, light_angle_tensor,
albedo_tensor, shading_tensor, target_shadow_tensor, target_rgb_tensor):
with amp.autocast():
self.G_A.set_shadow_input(input_shadow_tensor)
shadow_like = self.G_A(self.prepare_input(input_shadow_tensor, input_rgb_tensor, light_angle_tensor))
self.D_A.train()
self.optimizerD.zero_grad()
prediction = self.D_A(target_shadow_tensor)
real_tensor = torch.ones_like(prediction)
fake_tensor = torch.zeros_like(prediction)
# print("A2B shape: ", np.shape(a2b))
D_A_real_loss = self.adversarial_loss(self.D_A(target_shadow_tensor), real_tensor) * self.adv_weight
D_A_fake_loss = self.adversarial_loss(self.D_A(shadow_like.detach()), fake_tensor) * self.adv_weight
errD = D_A_real_loss + D_A_fake_loss
self.fp16_scaler.scale(errD).backward()
if (self.fp16_scaler.scale(errD).item() > 0.2):
self.fp16_scaler.step(self.optimizerD)
self.schedulerD.step(errD)
self.G_A.train()
self.optimizerG.zero_grad()
self.G_A.set_shadow_input(input_shadow_tensor)
shadow_like = self.G_A(self.prepare_input(input_shadow_tensor, input_rgb_tensor, light_angle_tensor))
likeness_loss = self.l1_loss(shadow_like, target_shadow_tensor) * self.l1_weight
lpip_loss = self.lpip_loss(shadow_like, target_shadow_tensor) * self.lpip_weight
ssim_loss = self.ssim_loss(shadow_like, target_shadow_tensor) * self.ssim_weight
bce_loss_val = self.bce_loss_term(shadow_like, target_shadow_tensor) * self.bce_weight
prediction = self.D_A(shadow_like)
real_tensor = torch.ones_like(prediction)
A_adv_loss = self.adversarial_loss(prediction, real_tensor) * self.adv_weight
rgb_like = tensor_utils.produce_albedo(albedo_tensor, shading_tensor, self.default_light_color, shadow_like)
rgb_l1_loss = self.l1_loss(rgb_like, target_rgb_tensor) * self.l1_weight
errG = A_adv_loss + likeness_loss + lpip_loss + ssim_loss + bce_loss_val + rgb_l1_loss
self.fp16_scaler.scale(errG).backward()
self.fp16_scaler.step(self.optimizerG)
self.schedulerG.step(errG)
self.fp16_scaler.update()
# what to put to losses dict for visdom reporting?
self.losses_dict[constants.G_LOSS_KEY].append(errG.item())
self.losses_dict[constants.D_OVERALL_LOSS_KEY].append(errD.item())
self.losses_dict[constants.LIKENESS_LOSS_KEY].append(likeness_loss.item())
self.losses_dict[constants.LPIP_LOSS_KEY].append(lpip_loss.item())
self.losses_dict[constants.SSIM_LOSS_KEY].append(ssim_loss.item())
self.losses_dict[constants.G_ADV_LOSS_KEY].append(A_adv_loss.item())
self.losses_dict[constants.D_A_FAKE_LOSS_KEY].append(D_A_fake_loss.item())
self.losses_dict[constants.D_A_REAL_LOSS_KEY].append(D_A_real_loss.item())
self.losses_dict[self.RGB_RECONSTRUCTION_LOSS_KEY].append(rgb_l1_loss.item())
def test(self, input_shadow_tensor, input_rgb_tensor, light_angle):
with torch.no_grad():
self.G_A.set_shadow_input(input_shadow_tensor)
a2b = self.G_A(self.prepare_input(input_shadow_tensor, input_rgb_tensor, light_angle))
return a2b
def visdom_plot(self, iteration):
self.visdom_reporter.plot_finegrain_loss("a2b_loss", iteration, self.losses_dict, self.caption_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH)
def visdom_visualize(self, input_rgb_tensor, input_shadow_tensor, light_angle_tensor,
albedo_tensor, shading_tensor, target_shadow_tensor, target_rgb_tensor, label="Training"):
with torch.no_grad():
self.G_A.set_shadow_input(input_shadow_tensor)
shadow_like = self.G_A(self.prepare_input(input_shadow_tensor, input_rgb_tensor, light_angle_tensor))
rgb_like = tensor_utils.produce_albedo(albedo_tensor, shading_tensor, self.default_light_color, shadow_like)
self.visdom_reporter.plot_image(input_rgb_tensor, str(label) + " Input RGB Images - " + constants.IID_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(rgb_like, str(label) + " RGB Reconstruction - " + constants.IID_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(target_rgb_tensor, str(label) + " Target RGB Images - " + constants.IID_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(shadow_like, str(label) + " RGB2Shadow images - " + constants.IID_VERSION + constants.ITERATION)
self.visdom_reporter.plot_image(target_shadow_tensor, str(label) + " Shadow images - " + constants.IID_VERSION + constants.ITERATION)
def load_saved_state(self, checkpoint):
self.G_A.load_state_dict(checkpoint[constants.GENERATOR_KEY + "A"])
self.D_A.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + "A"])
self.optimizerG.load_state_dict(checkpoint[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY])
self.optimizerD.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY])
self.schedulerG.load_state_dict(checkpoint[constants.GENERATOR_KEY + "scheduler"])
self.schedulerD.load_state_dict(checkpoint[constants.DISCRIMINATOR_KEY + "scheduler"])
def save_states_checkpt(self, epoch, iteration, last_metric):
save_dict = {'epoch': epoch, 'iteration': iteration, constants.LAST_METRIC_KEY: last_metric}
netGA_state_dict = self.G_A.state_dict()
netDA_state_dict = self.D_A.state_dict()
optimizerG_state_dict = self.optimizerG.state_dict()
optimizerD_state_dict = self.optimizerD.state_dict()
schedulerG_state_dict = self.schedulerG.state_dict()
schedulerD_state_dict = self.schedulerD.state_dict()
save_dict[constants.GENERATOR_KEY + "A"] = netGA_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "A"] = netDA_state_dict
save_dict[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY] = optimizerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY] = optimizerD_state_dict
save_dict[constants.GENERATOR_KEY + "scheduler"] = schedulerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "scheduler"] = schedulerD_state_dict
torch.save(save_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH + ".checkpt")
print("Saved model state: %s Epoch: %d" % (len(save_dict), (epoch + 1)))
def save_states(self, epoch, iteration, last_metric):
save_dict = {'epoch': epoch, 'iteration': iteration, constants.LAST_METRIC_KEY: last_metric}
netGA_state_dict = self.G_A.state_dict()
netDA_state_dict = self.D_A.state_dict()
optimizerG_state_dict = self.optimizerG.state_dict()
optimizerD_state_dict = self.optimizerD.state_dict()
schedulerG_state_dict = self.schedulerG.state_dict()
schedulerD_state_dict = self.schedulerD.state_dict()
save_dict[constants.GENERATOR_KEY + "A"] = netGA_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "A"] = netDA_state_dict
save_dict[constants.GENERATOR_KEY + constants.OPTIMIZER_KEY] = optimizerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + constants.OPTIMIZER_KEY] = optimizerD_state_dict
save_dict[constants.GENERATOR_KEY + "scheduler"] = schedulerG_state_dict
save_dict[constants.DISCRIMINATOR_KEY + "scheduler"] = schedulerD_state_dict
torch.save(save_dict, constants.SHADOWMAP_RELIGHT_CHECKPATH)
print("Saved model state: %s Epoch: %d" % (len(save_dict), (epoch + 1))) | 50.589695 | 147 | 0.697725 | 3,580 | 26,509 | 4.825978 | 0.062291 | 0.043758 | 0.030792 | 0.0426 | 0.93037 | 0.921398 | 0.915147 | 0.906349 | 0.885339 | 0.86757 | 0 | 0.009358 | 0.19782 | 26,509 | 524 | 148 | 50.589695 | 0.803104 | 0.03214 | 0 | 0.779188 | 0 | 0 | 0.051059 | 0.003862 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098985 | false | 0 | 0.035533 | 0.020305 | 0.192893 | 0.055838 | 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 |
0864f64c0397908ab0743ed293178f78f052fdb2 | 8,178 | py | Python | terrascript/aws/d.py | vutsalsinghal/python-terrascript | 3b9fb5ad77453d330fb0cd03524154a342c5d5dc | [
"BSD-2-Clause"
] | null | null | null | terrascript/aws/d.py | vutsalsinghal/python-terrascript | 3b9fb5ad77453d330fb0cd03524154a342c5d5dc | [
"BSD-2-Clause"
] | null | null | null | terrascript/aws/d.py | vutsalsinghal/python-terrascript | 3b9fb5ad77453d330fb0cd03524154a342c5d5dc | [
"BSD-2-Clause"
] | null | null | null | # terrascript/aws/d.py
import terrascript
class aws_acm_certificate(terrascript.Data):
pass
class aws_acmpca_certificate_authority(terrascript.Data):
pass
class aws_ami(terrascript.Data):
pass
class aws_ami_ids(terrascript.Data):
pass
class aws_api_gateway_api_key(terrascript.Data):
pass
class aws_api_gateway_resource(terrascript.Data):
pass
class aws_api_gateway_rest_api(terrascript.Data):
pass
class aws_api_gateway_vpc_link(terrascript.Data):
pass
class aws_arn(terrascript.Data):
pass
class aws_autoscaling_group(terrascript.Data):
pass
class aws_autoscaling_groups(terrascript.Data):
pass
class aws_availability_zone(terrascript.Data):
pass
class aws_availability_zones(terrascript.Data):
pass
class aws_batch_compute_environment(terrascript.Data):
pass
class aws_batch_job_queue(terrascript.Data):
pass
class aws_billing_service_account(terrascript.Data):
pass
class aws_caller_identity(terrascript.Data):
pass
class aws_canonical_user_id(terrascript.Data):
pass
class aws_cloudformation_export(terrascript.Data):
pass
class aws_cloudformation_stack(terrascript.Data):
pass
class aws_cloudhsm_v2_cluster(terrascript.Data):
pass
class aws_cloudtrail_service_account(terrascript.Data):
pass
class aws_cloudwatch_log_group(terrascript.Data):
pass
class aws_cognito_user_pools(terrascript.Data):
pass
class aws_codecommit_repository(terrascript.Data):
pass
class aws_cur_report_definition(terrascript.Data):
pass
class aws_db_cluster_snapshot(terrascript.Data):
pass
class aws_db_event_categories(terrascript.Data):
pass
class aws_db_instance(terrascript.Data):
pass
class aws_db_snapshot(terrascript.Data):
pass
class aws_dx_gateway(terrascript.Data):
pass
class aws_dynamodb_table(terrascript.Data):
pass
class aws_ebs_default_kms_key(terrascript.Data):
pass
class aws_ebs_encryption_by_default(terrascript.Data):
pass
class aws_ebs_snapshot(terrascript.Data):
pass
class aws_ebs_snapshot_ids(terrascript.Data):
pass
class aws_ebs_volume(terrascript.Data):
pass
class aws_ec2_transit_gateway(terrascript.Data):
pass
class aws_ec2_transit_gateway_dx_gateway_attachment(terrascript.Data):
pass
class aws_ec2_transit_gateway_route_table(terrascript.Data):
pass
class aws_ec2_transit_gateway_vpc_attachment(terrascript.Data):
pass
class aws_ec2_transit_gateway_vpn_attachment(terrascript.Data):
pass
class aws_ecr_image(terrascript.Data):
pass
class aws_ecr_repository(terrascript.Data):
pass
class aws_ecs_cluster(terrascript.Data):
pass
class aws_ecs_container_definition(terrascript.Data):
pass
class aws_ecs_service(terrascript.Data):
pass
class aws_ecs_task_definition(terrascript.Data):
pass
class aws_customer_gateway(terrascript.Data):
pass
class aws_efs_file_system(terrascript.Data):
pass
class aws_efs_mount_target(terrascript.Data):
pass
class aws_eip(terrascript.Data):
pass
class aws_eks_cluster(terrascript.Data):
pass
class aws_eks_cluster_auth(terrascript.Data):
pass
class aws_elastic_beanstalk_application(terrascript.Data):
pass
class aws_elastic_beanstalk_hosted_zone(terrascript.Data):
pass
class aws_elastic_beanstalk_solution_stack(terrascript.Data):
pass
class aws_elasticache_cluster(terrascript.Data):
pass
class aws_elb(terrascript.Data):
pass
class aws_elasticache_replication_group(terrascript.Data):
pass
class aws_elb_hosted_zone_id(terrascript.Data):
pass
class aws_elb_service_account(terrascript.Data):
pass
class aws_glue_script(terrascript.Data):
pass
class aws_iam_account_alias(terrascript.Data):
pass
class aws_iam_group(terrascript.Data):
pass
class aws_iam_instance_profile(terrascript.Data):
pass
class aws_iam_policy(terrascript.Data):
pass
class aws_iam_policy_document(terrascript.Data):
pass
class aws_iam_role(terrascript.Data):
pass
class aws_iam_server_certificate(terrascript.Data):
pass
class aws_iam_user(terrascript.Data):
pass
class aws_internet_gateway(terrascript.Data):
pass
class aws_iot_endpoint(terrascript.Data):
pass
class aws_inspector_rules_packages(terrascript.Data):
pass
class aws_instance(terrascript.Data):
pass
class aws_instances(terrascript.Data):
pass
class aws_ip_ranges(terrascript.Data):
pass
class aws_kinesis_stream(terrascript.Data):
pass
class aws_kms_alias(terrascript.Data):
pass
class aws_kms_ciphertext(terrascript.Data):
pass
class aws_kms_key(terrascript.Data):
pass
class aws_kms_secret(terrascript.Data):
pass
class aws_kms_secrets(terrascript.Data):
pass
class aws_lambda_function(terrascript.Data):
pass
class aws_lambda_invocation(terrascript.Data):
pass
class aws_lambda_layer_version(terrascript.Data):
pass
class aws_launch_configuration(terrascript.Data):
pass
class aws_launch_template(terrascript.Data):
pass
class aws_mq_broker(terrascript.Data):
pass
class aws_msk_cluster(terrascript.Data):
pass
class aws_msk_configuration(terrascript.Data):
pass
class aws_nat_gateway(terrascript.Data):
pass
class aws_network_acls(terrascript.Data):
pass
class aws_network_interface(terrascript.Data):
pass
class aws_network_interfaces(terrascript.Data):
pass
class aws_organizations_organization(terrascript.Data):
pass
class aws_partition(terrascript.Data):
pass
class aws_prefix_list(terrascript.Data):
pass
class aws_pricing_product(terrascript.Data):
pass
class aws_ram_resource_share(terrascript.Data):
pass
class aws_rds_cluster(terrascript.Data):
pass
class aws_redshift_cluster(terrascript.Data):
pass
class aws_redshift_service_account(terrascript.Data):
pass
class aws_region(terrascript.Data):
pass
class aws_route(terrascript.Data):
pass
class aws_route_table(terrascript.Data):
pass
class aws_route_tables(terrascript.Data):
pass
class aws_route53_delegation_set(terrascript.Data):
pass
class aws_route53_zone(terrascript.Data):
pass
class aws_s3_bucket(terrascript.Data):
pass
class aws_s3_bucket_object(terrascript.Data):
pass
class aws_s3_bucket_objects(terrascript.Data):
pass
class aws_secretsmanager_secret(terrascript.Data):
pass
class aws_secretsmanager_secret_version(terrascript.Data):
pass
class aws_servicequotas_service(terrascript.Data):
pass
class aws_servicequotas_service_quota(terrascript.Data):
pass
class aws_sns_topic(terrascript.Data):
pass
class aws_sqs_queue(terrascript.Data):
pass
class aws_ssm_document(terrascript.Data):
pass
class aws_ssm_parameter(terrascript.Data):
pass
class aws_storagegateway_local_disk(terrascript.Data):
pass
class aws_subnet(terrascript.Data):
pass
class aws_subnet_ids(terrascript.Data):
pass
class aws_transfer_server(terrascript.Data):
pass
class aws_vpcs(terrascript.Data):
pass
class aws_security_group(terrascript.Data):
pass
class aws_security_groups(terrascript.Data):
pass
class aws_vpc(terrascript.Data):
pass
class aws_vpc_dhcp_options(terrascript.Data):
pass
class aws_vpc_endpoint(terrascript.Data):
pass
class aws_vpc_endpoint_service(terrascript.Data):
pass
class aws_vpc_peering_connection(terrascript.Data):
pass
class aws_vpn_gateway(terrascript.Data):
pass
class aws_waf_ipset(terrascript.Data):
pass
class aws_waf_rule(terrascript.Data):
pass
class aws_waf_web_acl(terrascript.Data):
pass
class aws_wafregional_ipset(terrascript.Data):
pass
class aws_wafregional_rule(terrascript.Data):
pass
class aws_wafregional_web_acl(terrascript.Data):
pass
class aws_workspaces_bundle(terrascript.Data):
pass
class aws_lb(terrascript.Data):
pass
class aws_alb(terrascript.Data):
pass
class aws_lb_listener(terrascript.Data):
pass
class aws_alb_listener(terrascript.Data):
pass
class aws_lb_target_group(terrascript.Data):
pass
class aws_alb_target_group(terrascript.Data):
pass
| 18.460497 | 70 | 0.784422 | 1,087 | 8,178 | 5.578657 | 0.172033 | 0.192612 | 0.457454 | 0.573879 | 0.862962 | 0.767975 | 0.253133 | 0.039578 | 0.01781 | 0 | 0 | 0.001856 | 0.143678 | 8,178 | 442 | 71 | 18.502262 | 0.864058 | 0.002446 | 0 | 0.498294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498294 | 0.003413 | 0 | 0.501706 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
088458d803902bd64922bf951b93cad3d74a78c1 | 3,112 | py | Python | listshuffler-be/tests/integration/test_instance.py | csiztom/listshuffler | d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5 | [
"MIT"
] | null | null | null | listshuffler-be/tests/integration/test_instance.py | csiztom/listshuffler | d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5 | [
"MIT"
] | null | null | null | listshuffler-be/tests/integration/test_instance.py | csiztom/listshuffler | d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5 | [
"MIT"
] | null | null | null | from lambda_client import lambda_client
import json
from unittest import TestCase
class TestInstance(TestCase):
def test_nonexistent(self):
response = lambda_client().invoke(FunctionName="testGetInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': 'tada'}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 404
def test_create(self):
client = lambda_client()
response = client.invoke(FunctionName="testPostInstance",
Payload=json.dumps({"queryStringParameters": None, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
admin_id = json.loads(payload['body'])['adminID']
response = client.invoke(FunctionName="testGetInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
def test_edit(self):
client = lambda_client()
response = client.invoke(FunctionName="testPostInstance",
Payload=json.dumps({"queryStringParameters": None, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
admin_id = json.loads(payload['body'])['adminID']
response = client.invoke(FunctionName="testPatchInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'preset': 'christmas'}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
response = client.invoke(FunctionName="testGetInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
assert json.loads(payload['body'])['preset'] == 'christmas'
def test_delete(self):
client = lambda_client()
response = client.invoke(FunctionName="testPostInstance",
Payload=json.dumps({"queryStringParameters": None, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
admin_id = json.loads(payload['body'])['adminID']
response = client.invoke(FunctionName="testDeleteInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 200
response = client.invoke(FunctionName="testGetInstance",
Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None}))
payload = json.loads(response['Payload'].read())
assert payload['statusCode'] == 404
| 54.596491 | 139 | 0.604113 | 280 | 3,112 | 6.65 | 0.142857 | 0.106337 | 0.116004 | 0.17884 | 0.858754 | 0.858754 | 0.858754 | 0.831364 | 0.831364 | 0.786788 | 0 | 0.011553 | 0.249036 | 3,112 | 56 | 140 | 55.571429 | 0.785195 | 0 | 0 | 0.72549 | 0 | 0 | 0.203728 | 0.060733 | 0 | 0 | 0 | 0 | 0.196078 | 1 | 0.078431 | false | 0 | 0.058824 | 0 | 0.156863 | 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 |
3eace43f20a99d7a69ab9e14492a8bf01bea415a | 27,465 | py | Python | sdk/python/pulumi_vault/mount.py | pulumi/pulumi-vault | 1682875f4a5d7d508f36e166529ad2b8aec34090 | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2019-10-07T17:44:18.000Z | 2022-03-30T20:46:33.000Z | sdk/python/pulumi_vault/mount.py | pulumi/pulumi-vault | 1682875f4a5d7d508f36e166529ad2b8aec34090 | [
"ECL-2.0",
"Apache-2.0"
] | 79 | 2019-10-11T18:13:07.000Z | 2022-03-31T21:09:41.000Z | sdk/python/pulumi_vault/mount.py | pulumi/pulumi-vault | 1682875f4a5d7d508f36e166529ad2b8aec34090 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2019-10-28T10:08:40.000Z | 2020-03-17T14:20:55.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['MountArgs', 'Mount']
@pulumi.input_type
class MountArgs:
def __init__(__self__, *,
path: pulumi.Input[str],
type: pulumi.Input[str],
default_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
external_entropy_access: Optional[pulumi.Input[bool]] = None,
local: Optional[pulumi.Input[bool]] = None,
max_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
options: Optional[pulumi.Input[Mapping[str, Any]]] = None,
seal_wrap: Optional[pulumi.Input[bool]] = None):
"""
The set of arguments for constructing a Mount resource.
:param pulumi.Input[str] path: Where the secret backend will be mounted
:param pulumi.Input[str] type: Type of the backend, such as "aws"
:param pulumi.Input[int] default_lease_ttl_seconds: Default lease duration for tokens and secrets in seconds
:param pulumi.Input[str] description: Human-friendly description of the mount
:param pulumi.Input[bool] external_entropy_access: Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
:param pulumi.Input[bool] local: Boolean flag that can be explicitly set to true to enforce local mount in HA environment
:param pulumi.Input[int] max_lease_ttl_seconds: Maximum possible lease duration for tokens and secrets in seconds
:param pulumi.Input[Mapping[str, Any]] options: Specifies mount type specific options that are passed to the backend
:param pulumi.Input[bool] seal_wrap: Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
"""
pulumi.set(__self__, "path", path)
pulumi.set(__self__, "type", type)
if default_lease_ttl_seconds is not None:
pulumi.set(__self__, "default_lease_ttl_seconds", default_lease_ttl_seconds)
if description is not None:
pulumi.set(__self__, "description", description)
if external_entropy_access is not None:
pulumi.set(__self__, "external_entropy_access", external_entropy_access)
if local is not None:
pulumi.set(__self__, "local", local)
if max_lease_ttl_seconds is not None:
pulumi.set(__self__, "max_lease_ttl_seconds", max_lease_ttl_seconds)
if options is not None:
pulumi.set(__self__, "options", options)
if seal_wrap is not None:
pulumi.set(__self__, "seal_wrap", seal_wrap)
@property
@pulumi.getter
def path(self) -> pulumi.Input[str]:
"""
Where the secret backend will be mounted
"""
return pulumi.get(self, "path")
@path.setter
def path(self, value: pulumi.Input[str]):
pulumi.set(self, "path", value)
@property
@pulumi.getter
def type(self) -> pulumi.Input[str]:
"""
Type of the backend, such as "aws"
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: pulumi.Input[str]):
pulumi.set(self, "type", value)
@property
@pulumi.getter(name="defaultLeaseTtlSeconds")
def default_lease_ttl_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Default lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "default_lease_ttl_seconds")
@default_lease_ttl_seconds.setter
def default_lease_ttl_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "default_lease_ttl_seconds", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Human-friendly description of the mount
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="externalEntropyAccess")
def external_entropy_access(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
"""
return pulumi.get(self, "external_entropy_access")
@external_entropy_access.setter
def external_entropy_access(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "external_entropy_access", value)
@property
@pulumi.getter
def local(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enforce local mount in HA environment
"""
return pulumi.get(self, "local")
@local.setter
def local(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "local", value)
@property
@pulumi.getter(name="maxLeaseTtlSeconds")
def max_lease_ttl_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Maximum possible lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "max_lease_ttl_seconds")
@max_lease_ttl_seconds.setter
def max_lease_ttl_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "max_lease_ttl_seconds", value)
@property
@pulumi.getter
def options(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Specifies mount type specific options that are passed to the backend
"""
return pulumi.get(self, "options")
@options.setter
def options(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "options", value)
@property
@pulumi.getter(name="sealWrap")
def seal_wrap(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
"""
return pulumi.get(self, "seal_wrap")
@seal_wrap.setter
def seal_wrap(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "seal_wrap", value)
@pulumi.input_type
class _MountState:
def __init__(__self__, *,
accessor: Optional[pulumi.Input[str]] = None,
default_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
external_entropy_access: Optional[pulumi.Input[bool]] = None,
local: Optional[pulumi.Input[bool]] = None,
max_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
options: Optional[pulumi.Input[Mapping[str, Any]]] = None,
path: Optional[pulumi.Input[str]] = None,
seal_wrap: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Mount resources.
:param pulumi.Input[str] accessor: The accessor for this mount.
:param pulumi.Input[int] default_lease_ttl_seconds: Default lease duration for tokens and secrets in seconds
:param pulumi.Input[str] description: Human-friendly description of the mount
:param pulumi.Input[bool] external_entropy_access: Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
:param pulumi.Input[bool] local: Boolean flag that can be explicitly set to true to enforce local mount in HA environment
:param pulumi.Input[int] max_lease_ttl_seconds: Maximum possible lease duration for tokens and secrets in seconds
:param pulumi.Input[Mapping[str, Any]] options: Specifies mount type specific options that are passed to the backend
:param pulumi.Input[str] path: Where the secret backend will be mounted
:param pulumi.Input[bool] seal_wrap: Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
:param pulumi.Input[str] type: Type of the backend, such as "aws"
"""
if accessor is not None:
pulumi.set(__self__, "accessor", accessor)
if default_lease_ttl_seconds is not None:
pulumi.set(__self__, "default_lease_ttl_seconds", default_lease_ttl_seconds)
if description is not None:
pulumi.set(__self__, "description", description)
if external_entropy_access is not None:
pulumi.set(__self__, "external_entropy_access", external_entropy_access)
if local is not None:
pulumi.set(__self__, "local", local)
if max_lease_ttl_seconds is not None:
pulumi.set(__self__, "max_lease_ttl_seconds", max_lease_ttl_seconds)
if options is not None:
pulumi.set(__self__, "options", options)
if path is not None:
pulumi.set(__self__, "path", path)
if seal_wrap is not None:
pulumi.set(__self__, "seal_wrap", seal_wrap)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter
def accessor(self) -> Optional[pulumi.Input[str]]:
"""
The accessor for this mount.
"""
return pulumi.get(self, "accessor")
@accessor.setter
def accessor(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "accessor", value)
@property
@pulumi.getter(name="defaultLeaseTtlSeconds")
def default_lease_ttl_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Default lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "default_lease_ttl_seconds")
@default_lease_ttl_seconds.setter
def default_lease_ttl_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "default_lease_ttl_seconds", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Human-friendly description of the mount
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="externalEntropyAccess")
def external_entropy_access(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
"""
return pulumi.get(self, "external_entropy_access")
@external_entropy_access.setter
def external_entropy_access(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "external_entropy_access", value)
@property
@pulumi.getter
def local(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enforce local mount in HA environment
"""
return pulumi.get(self, "local")
@local.setter
def local(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "local", value)
@property
@pulumi.getter(name="maxLeaseTtlSeconds")
def max_lease_ttl_seconds(self) -> Optional[pulumi.Input[int]]:
"""
Maximum possible lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "max_lease_ttl_seconds")
@max_lease_ttl_seconds.setter
def max_lease_ttl_seconds(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "max_lease_ttl_seconds", value)
@property
@pulumi.getter
def options(self) -> Optional[pulumi.Input[Mapping[str, Any]]]:
"""
Specifies mount type specific options that are passed to the backend
"""
return pulumi.get(self, "options")
@options.setter
def options(self, value: Optional[pulumi.Input[Mapping[str, Any]]]):
pulumi.set(self, "options", value)
@property
@pulumi.getter
def path(self) -> Optional[pulumi.Input[str]]:
"""
Where the secret backend will be mounted
"""
return pulumi.get(self, "path")
@path.setter
def path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "path", value)
@property
@pulumi.getter(name="sealWrap")
def seal_wrap(self) -> Optional[pulumi.Input[bool]]:
"""
Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
"""
return pulumi.get(self, "seal_wrap")
@seal_wrap.setter
def seal_wrap(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "seal_wrap", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Type of the backend, such as "aws"
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
class Mount(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
external_entropy_access: Optional[pulumi.Input[bool]] = None,
local: Optional[pulumi.Input[bool]] = None,
max_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
options: Optional[pulumi.Input[Mapping[str, Any]]] = None,
path: Optional[pulumi.Input[str]] = None,
seal_wrap: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
## Example Usage
```python
import pulumi
import pulumi_vault as vault
example = vault.Mount("example",
description="This is an example mount",
path="dummy",
type="generic")
```
```python
import pulumi
import pulumi_vault as vault
kvv2_example = vault.Mount("kvv2-example",
description="This is an example KV Version 2 secret engine mount",
path="version2-example",
type="kv-v2")
```
```python
import pulumi
import pulumi_vault as vault
transit_example = vault.Mount("transit-example",
description="This is an example transit secret engine mount",
options={
"convergent_encryption": False,
},
path="transit-example",
type="transit")
```
```python
import pulumi
import pulumi_vault as vault
pki_example = vault.Mount("pki-example",
default_lease_ttl_seconds=3600,
description="This is an example PKI mount",
max_lease_ttl_seconds=86400,
path="pki-example",
type="pki")
```
## Import
Mounts can be imported using the `path`, e.g.
```sh
$ pulumi import vault:index/mount:Mount example dummy
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[int] default_lease_ttl_seconds: Default lease duration for tokens and secrets in seconds
:param pulumi.Input[str] description: Human-friendly description of the mount
:param pulumi.Input[bool] external_entropy_access: Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
:param pulumi.Input[bool] local: Boolean flag that can be explicitly set to true to enforce local mount in HA environment
:param pulumi.Input[int] max_lease_ttl_seconds: Maximum possible lease duration for tokens and secrets in seconds
:param pulumi.Input[Mapping[str, Any]] options: Specifies mount type specific options that are passed to the backend
:param pulumi.Input[str] path: Where the secret backend will be mounted
:param pulumi.Input[bool] seal_wrap: Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
:param pulumi.Input[str] type: Type of the backend, such as "aws"
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: MountArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## Example Usage
```python
import pulumi
import pulumi_vault as vault
example = vault.Mount("example",
description="This is an example mount",
path="dummy",
type="generic")
```
```python
import pulumi
import pulumi_vault as vault
kvv2_example = vault.Mount("kvv2-example",
description="This is an example KV Version 2 secret engine mount",
path="version2-example",
type="kv-v2")
```
```python
import pulumi
import pulumi_vault as vault
transit_example = vault.Mount("transit-example",
description="This is an example transit secret engine mount",
options={
"convergent_encryption": False,
},
path="transit-example",
type="transit")
```
```python
import pulumi
import pulumi_vault as vault
pki_example = vault.Mount("pki-example",
default_lease_ttl_seconds=3600,
description="This is an example PKI mount",
max_lease_ttl_seconds=86400,
path="pki-example",
type="pki")
```
## Import
Mounts can be imported using the `path`, e.g.
```sh
$ pulumi import vault:index/mount:Mount example dummy
```
:param str resource_name: The name of the resource.
:param MountArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(MountArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
default_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
external_entropy_access: Optional[pulumi.Input[bool]] = None,
local: Optional[pulumi.Input[bool]] = None,
max_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
options: Optional[pulumi.Input[Mapping[str, Any]]] = None,
path: Optional[pulumi.Input[str]] = None,
seal_wrap: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = MountArgs.__new__(MountArgs)
__props__.__dict__["default_lease_ttl_seconds"] = default_lease_ttl_seconds
__props__.__dict__["description"] = description
__props__.__dict__["external_entropy_access"] = external_entropy_access
__props__.__dict__["local"] = local
__props__.__dict__["max_lease_ttl_seconds"] = max_lease_ttl_seconds
__props__.__dict__["options"] = options
if path is None and not opts.urn:
raise TypeError("Missing required property 'path'")
__props__.__dict__["path"] = path
__props__.__dict__["seal_wrap"] = seal_wrap
if type is None and not opts.urn:
raise TypeError("Missing required property 'type'")
__props__.__dict__["type"] = type
__props__.__dict__["accessor"] = None
super(Mount, __self__).__init__(
'vault:index/mount:Mount',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
accessor: Optional[pulumi.Input[str]] = None,
default_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
description: Optional[pulumi.Input[str]] = None,
external_entropy_access: Optional[pulumi.Input[bool]] = None,
local: Optional[pulumi.Input[bool]] = None,
max_lease_ttl_seconds: Optional[pulumi.Input[int]] = None,
options: Optional[pulumi.Input[Mapping[str, Any]]] = None,
path: Optional[pulumi.Input[str]] = None,
seal_wrap: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None) -> 'Mount':
"""
Get an existing Mount resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] accessor: The accessor for this mount.
:param pulumi.Input[int] default_lease_ttl_seconds: Default lease duration for tokens and secrets in seconds
:param pulumi.Input[str] description: Human-friendly description of the mount
:param pulumi.Input[bool] external_entropy_access: Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
:param pulumi.Input[bool] local: Boolean flag that can be explicitly set to true to enforce local mount in HA environment
:param pulumi.Input[int] max_lease_ttl_seconds: Maximum possible lease duration for tokens and secrets in seconds
:param pulumi.Input[Mapping[str, Any]] options: Specifies mount type specific options that are passed to the backend
:param pulumi.Input[str] path: Where the secret backend will be mounted
:param pulumi.Input[bool] seal_wrap: Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
:param pulumi.Input[str] type: Type of the backend, such as "aws"
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _MountState.__new__(_MountState)
__props__.__dict__["accessor"] = accessor
__props__.__dict__["default_lease_ttl_seconds"] = default_lease_ttl_seconds
__props__.__dict__["description"] = description
__props__.__dict__["external_entropy_access"] = external_entropy_access
__props__.__dict__["local"] = local
__props__.__dict__["max_lease_ttl_seconds"] = max_lease_ttl_seconds
__props__.__dict__["options"] = options
__props__.__dict__["path"] = path
__props__.__dict__["seal_wrap"] = seal_wrap
__props__.__dict__["type"] = type
return Mount(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def accessor(self) -> pulumi.Output[str]:
"""
The accessor for this mount.
"""
return pulumi.get(self, "accessor")
@property
@pulumi.getter(name="defaultLeaseTtlSeconds")
def default_lease_ttl_seconds(self) -> pulumi.Output[int]:
"""
Default lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "default_lease_ttl_seconds")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
Human-friendly description of the mount
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="externalEntropyAccess")
def external_entropy_access(self) -> pulumi.Output[Optional[bool]]:
"""
Boolean flag that can be explicitly set to true to enable the secrets engine to access Vault's external entropy source
"""
return pulumi.get(self, "external_entropy_access")
@property
@pulumi.getter
def local(self) -> pulumi.Output[Optional[bool]]:
"""
Boolean flag that can be explicitly set to true to enforce local mount in HA environment
"""
return pulumi.get(self, "local")
@property
@pulumi.getter(name="maxLeaseTtlSeconds")
def max_lease_ttl_seconds(self) -> pulumi.Output[int]:
"""
Maximum possible lease duration for tokens and secrets in seconds
"""
return pulumi.get(self, "max_lease_ttl_seconds")
@property
@pulumi.getter
def options(self) -> pulumi.Output[Optional[Mapping[str, Any]]]:
"""
Specifies mount type specific options that are passed to the backend
"""
return pulumi.get(self, "options")
@property
@pulumi.getter
def path(self) -> pulumi.Output[str]:
"""
Where the secret backend will be mounted
"""
return pulumi.get(self, "path")
@property
@pulumi.getter(name="sealWrap")
def seal_wrap(self) -> pulumi.Output[bool]:
"""
Boolean flag that can be explicitly set to true to enable seal wrapping for the mount, causing values stored by the mount to be wrapped by the seal's encryption capability
"""
return pulumi.get(self, "seal_wrap")
@property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
"""
Type of the backend, such as "aws"
"""
return pulumi.get(self, "type")
| 41.613636 | 216 | 0.642163 | 3,321 | 27,465 | 5.103583 | 0.060825 | 0.082424 | 0.08856 | 0.042834 | 0.899758 | 0.885008 | 0.870907 | 0.852617 | 0.845183 | 0.837277 | 0 | 0.001431 | 0.261933 | 27,465 | 659 | 217 | 41.676783 | 0.83469 | 0.348698 | 0 | 0.774481 | 1 | 0 | 0.093372 | 0.04815 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163205 | false | 0.002967 | 0.014837 | 0 | 0.275964 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f5f9adc9c91c08118cab16462141ca50314cbefa | 32,817 | py | Python | ann_training.py | LeMuecke/SNNs_with_RNNs_in_Tensorflow_Toolbox | 261f94bc58df5b8add31fe721e85bd167be2ab1d | [
"Apache-2.0"
] | null | null | null | ann_training.py | LeMuecke/SNNs_with_RNNs_in_Tensorflow_Toolbox | 261f94bc58df5b8add31fe721e85bd167be2ab1d | [
"Apache-2.0"
] | null | null | null | ann_training.py | LeMuecke/SNNs_with_RNNs_in_Tensorflow_Toolbox | 261f94bc58df5b8add31fe721e85bd167be2ab1d | [
"Apache-2.0"
] | null | null | null | import copy
import numpy as np
import tensorflow_datasets as tfds
import tensorflow as tf
from tensorflow import keras
from os import path
from conversion import spikalize_img, timealize_img
def prepare_dataset_ann(experiment, dataset="mnist", split=None):
if split is None:
split = ["train", "test"]
# split = ["train", "validation"]
(ds_train, ds_test) = tfds.load(
dataset,
split=split,
shuffle_files=True,
as_supervised=True
)
def resize_masked(image, label):
return tf.image.resize(image, experiment.image_size_rescale), label
def depth_increase_masked(image, label):
return tf.image.grayscale_to_rgb(image), label
# prepare ds_train and ds_test for ANN training
ds_train = ds_train.map(lambda x, y: (x / 255, y),
num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_size_rescale is not None:
ds_train = ds_train.map(
resize_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_depth_increase:
ds_train = ds_train.map(
depth_increase_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
#ds_train = ds_train.cache()
ds_train = ds_train.shuffle(experiment.batch_size_ann_training)
ds_train = ds_train.batch(experiment.batch_size_ann_training)
ds_train = ds_train.prefetch(tf.data.experimental.AUTOTUNE)
ds_test = ds_test.map(lambda x, y: (x / 255, y),
num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_size_rescale is not None:
ds_test = ds_test.map(
resize_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_depth_increase:
ds_test = ds_test.map(
depth_increase_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
ds_test = ds_test.batch(experiment.batch_size_ann_training)
#ds_test = ds_test.cache()
ds_test = ds_test.prefetch(tf.data.experimental.AUTOTUNE)
return ds_train, ds_test
def prepare_dataset_spike(experiment, dataset="mnist", split=None, spiking=False):
if split is None:
split = ["train", "test"]
# split = ["train", "validation"]
(ds_train_spike, ds_test_spike) = tfds.load(
dataset,
split=split,
shuffle_files=False,
as_supervised=True
)
print("ATTENTION DATASET SHUFFLE IS OFF!")
# spikalize had no x / 255
def spikalize_img_masked(image, label):
return spikalize_img(experiment, image, label)
def timealize_img_masked(image, label):
return timealize_img(experiment, image, label)
def resize_masked(image, label):
return tf.image.resize(image, experiment.image_size_rescale), label
def depth_increase_masked(image, label):
return tf.image.grayscale_to_rgb(image), label
def add_dynthresh_dim_masked(image, label):
return (image, tf.zeros((experiment.timesteps, image.shape[1], image.shape[2], image.shape[3]))), label
#return (image, tf.zeros((experiment.timesteps, 28, 28, 1))), label
# prepare spiking variants for SNN testing
ds_train_spike = ds_train_spike.map(lambda x, y: (x / 255, y),
num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_size_rescale is not None:
ds_train_spike = ds_train_spike.map(
resize_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_depth_increase:
ds_train_spike = ds_train_spike.map(
depth_increase_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
ds_train_spike = ds_train_spike.map(
timealize_img_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.encoding == "ttfs_dyn_thresh":
ds_train_spike = ds_train_spike.map(
add_dynthresh_dim_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
ds_train_spike = ds_train_spike.shuffle(experiment.batch_size_snn_eval)
ds_train_spike = ds_train_spike.batch(experiment.batch_size_snn_eval)
ds_train_spike = ds_train_spike.prefetch(tf.data.experimental.AUTOTUNE)
ds_test_spike = ds_test_spike.map(lambda x, y: (x / 255, y),
num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_size_rescale is not None:
ds_test_spike = ds_test_spike.map(
resize_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.image_depth_increase:
ds_test_spike = ds_test_spike.map(
depth_increase_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
ds_test_spike = ds_test_spike.map(
timealize_img_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
if experiment.encoding == "ttfs_dyn_thresh":
ds_test_spike = ds_test_spike.map(
add_dynthresh_dim_masked, num_parallel_calls=tf.data.experimental.AUTOTUNE)
ds_test_spike = ds_test_spike.batch(experiment.batch_size_snn_eval)
#ds_test_spike = ds_test_spike.cache()
ds_test_spike = ds_test_spike.prefetch(tf.data.experimental.AUTOTUNE)
return ds_train_spike, ds_test_spike
def train_network_base(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelbase_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(600, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_base_scale1(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelbasescale1_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(500, activation=activation_function),
tf.keras.layers.Dense(200, activation=activation_function),
tf.keras.layers.Dense(84, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_base_scale2(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelbasescale2_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(784, activation=activation_function),
tf.keras.layers.Dense(500, activation=activation_function),
tf.keras.layers.Dense(200, activation=activation_function),
tf.keras.layers.Dense(84, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_base_conv(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelbaseconv_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(484, activation=activation_function),
tf.keras.layers.Dense(200, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_fully_conv(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelfullyconv_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(6, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(6, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(6, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_fully_conv_small(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelfullyconvsmall_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="valid"),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_base_maxpool(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelbasemaxpool_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="same"),
tf.keras.layers.MaxPool2D(pool_size=2, strides=2),
tf.keras.layers.Conv2D(3, 3, activation=activation_function, padding="same"),
tf.keras.layers.MaxPool2D(pool_size=2, strides=2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(192, activation=activation_function),
tf.keras.layers.Dense(100, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_lenet5(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modellenet5_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(6, 5, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(6, 2, activation=activation_function, padding="valid", strides=2),
tf.keras.layers.Conv2D(16, 5, activation=activation_function, padding="valid"),
tf.keras.layers.Conv2D(16, 2, activation=activation_function, padding="valid", strides=2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(120, activation=activation_function),
tf.keras.layers.Dense(84, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_lenet5_maxpool(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modellenet5_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(6, 5, activation=activation_function, padding="valid"),
tf.keras.layers.MaxPool2D(pool_size=2, strides=2),
tf.keras.layers.Conv2D(16, 5, activation=activation_function, padding="valid"),
tf.keras.layers.MaxPool2D(pool_size=2, strides=2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(120, activation=activation_function),
tf.keras.layers.Dense(84, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_lenet5_maxpool_extensions(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modellenet5ext_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([ # 64x64x3
tf.keras.layers.Conv2D(32, 5, activation=activation_function, padding="valid"), # 60x60x32
tf.keras.layers.MaxPool2D(pool_size=2, strides=2), # 30x30x32
tf.keras.layers.BatchNormalization(), # 30x30x32
tf.keras.layers.Conv2D(64, 5, activation=activation_function, padding="valid"), # 26x26x64
tf.keras.layers.MaxPool2D(pool_size=2, strides=2), # 13x13x64
tf.keras.layers.Conv2D(128, 3, activation=activation_function, padding="valid"), # 24x24x128
tf.keras.layers.MaxPool2D(pool_size=2, strides=2), # 12x12x128
tf.keras.layers.BatchNormalization(), # 12x12x128
tf.keras.layers.Conv2D(256, 3, activation=activation_function, padding="valid"), # 10x10x256
tf.keras.layers.MaxPool2D(pool_size=2, strides=2), # 5x5x256
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(4096, activation=activation_function),
tf.keras.layers.Dense(2048, activation=activation_function),
tf.keras.layers.Dense(10, activation='softmax')
])
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_denseonly1(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/model_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
model = tf.keras.Sequential([
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(784, activation='relu'),
tf.keras.layers.Dense(500, activation='relu'),
tf.keras.layers.Dense(200, activation='relu'),
tf.keras.layers.Dense(84, activation='relu'),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test)
model.save(model_savefile)
return model
def train_network_batchnorm_etal(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/model_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
if experiment.encoding == "ttfs_clamped":
def activation_function(x): return tf.keras.activations.relu(x, threshold=experiment.beta)
else:
activation_function = "relu"
model = tf.keras.Sequential([
#tf.keras.layers.Flatten(),
tf.keras.layers.InputLayer(input_shape=(32,32,3)),
#tf.keras.layers.Conv2D(2, 3, activation='relu', padding='same'),
#tf.keras.layers.Conv2D(2, 3, activation='relu', padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(8, 3, activation=activation_function, padding='same'),
tf.keras.layers.Conv2D(8, 3, activation=activation_function, padding='same'),
tf.keras.layers.Conv2D(8, 3, activation=activation_function, padding='same'),
tf.keras.layers.Conv2D(8, 3, activation=activation_function, padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(16, 3, activation=activation_function, padding='same'),
tf.keras.layers.Conv2D(16, 3, activation=activation_function, padding='same'),
tf.keras.layers.Conv2D(16, 3, activation=activation_function, padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
#tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
#tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
#tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
#tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Flatten(),
#tf.keras.layers.Dense(5000, activation='relu'),
#tf.keras.layers.Dense(5000, activation='relu'),
#tf.keras.layers.Dense(5000, activation='relu'),
#tf.keras.layers.Dense(1000, activation='relu'),
#tf.keras.layers.Dense(500, activation='relu'),
#tf.keras.layers.Dense(784, activation='relu'),
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Dense(500, activation='relu'),
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Dense(300, activation='relu'),
#tf.keras.layers.Dense(150, activation='relu'),
#tf.keras.layers.Dense(84, activation='relu'),
tf.keras.layers.Dense(10, activation='softmax')
])
#model = tf.keras.applications.VGG16(include_top=True, weights=None, classes=10)
#model = tf.keras.applications.EfficientNetB0(include_top=True, input_shape=[224, 224, 3], weights=None, classes=100)
tensorboard_callback = keras.callbacks.TensorBoard(log_dir=f'tblogs/run{experiment.start_time}{experiment.tensorboard_title}')
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-4, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test, callbacks=[tensorboard_callback])
model.save(model_savefile)
return model
def train_network_vgg16(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelvgg_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
model = tf.keras.Sequential([
#tf.keras.layers.Conv2D(2, 3, activation='relu', padding='same'),
#tf.keras.layers.Conv2D(2, 3, activation='relu', padding='same'),
#tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(64, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(64, 3, activation='relu', padding='same'),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same'),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same'),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same'),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(4096, activation='relu'),
tf.keras.layers.Dense(4096, activation='relu'),
tf.keras.layers.Dense(1000, activation='softmax')
])
model = tf.keras.applications.VGG16(include_top=True, weights=None, classes=100)
model = tf.keras.applications.EfficientNetB0(include_top=True, weights=None, classes=100)
model = tf.keras.applications.ResNet50(include_top=True, weights=None, classes=100)
model.compile(optimizer=keras.optimizers.SGD(lr=0.001, decay=1e-6, momentum=0.9, nesterov=True),
loss=keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test)
model.save(model_savefile)
return model
def train_network_resnet_ish(experiment, ds_train, ds_test, force_training=False):
model_savefile = "./experiments/modelresnetish_" + experiment.name
if path.exists(model_savefile) and not force_training:
model = keras.models.load_model(model_savefile)
else:
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(64, 7, activation='relu', padding='same', strides=2, kernel_regularizer=keras.regularizers.l2(0.001)), # 112, 112, 64
tf.keras.layers.BatchNormalization(),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)), # 56, 56, 64
tf.keras.layers.Conv2D(64, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 56, 56, 64
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Conv2D(64, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 56, 56, 64
tf.keras.layers.BatchNormalization(),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)), # 28, 28, 64
#tf.keras.layers.Dropout(0.5),
tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 28, 28, 128
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Conv2D(128, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 28, 28, 128
tf.keras.layers.BatchNormalization(),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)), # 14, 14, 128
tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 14, 14, 256
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Conv2D(256, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 14, 14, 256
tf.keras.layers.BatchNormalization(),
tf.keras.layers.MaxPool2D(pool_size=(2, 2)), # 7, 7, 256
#tf.keras.layers.Dropout(0.5),
#tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 7, 7, 512
#tf.keras.layers.BatchNormalization(),
#tf.keras.layers.Conv2D(512, 3, activation='relu', padding='same', kernel_regularizer=keras.regularizers.l2(0.001)), # 7, 7, 512
#tf.keras.layers.BatchNormalization(),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(1000, activation='relu', kernel_regularizer=keras.regularizers.l2(0.001)),
tf.keras.layers.Dense(100, activation='softmax')
])
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-4, epsilon=1e-5),
loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
metrics=['sparse_categorical_accuracy'])
model.fit(ds_train, epochs=experiment.epochs, validation_data=ds_test)
model.save(model_savefile)
return model | 56.193493 | 155 | 0.669958 | 3,912 | 32,817 | 5.444274 | 0.061094 | 0.075594 | 0.106818 | 0.056202 | 0.944455 | 0.933421 | 0.918584 | 0.892337 | 0.877547 | 0.866091 | 0 | 0.031377 | 0.21044 | 32,817 | 584 | 156 | 56.193493 | 0.790591 | 0.08651 | 0 | 0.810235 | 0 | 0 | 0.071832 | 0.047152 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072495 | false | 0 | 0.014925 | 0.03838 | 0.136461 | 0.002132 | 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 |
eb3f5b8471a2108d1c9932e112d6e4d3a3b9c8de | 3,683 | py | Python | tests.py | ferret-guy/6-dof-simulation | 2068a387fb1df76f1a89485fe117677f120fc26a | [
"MIT"
] | 3 | 2020-03-02T02:18:02.000Z | 2022-02-22T18:07:26.000Z | tests.py | ferret-guy/6-dof-simulation | 2068a387fb1df76f1a89485fe117677f120fc26a | [
"MIT"
] | null | null | null | tests.py | ferret-guy/6-dof-simulation | 2068a387fb1df76f1a89485fe117677f120fc26a | [
"MIT"
] | 1 | 2019-01-26T09:16:00.000Z | 2019-01-26T09:16:00.000Z | from nose.tools import raises
import numpy as np
from Elements import KinematicObject
def test_KinematicObject_init():
obj1 = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
obj2 = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0], [0.0], [1.0])
obj3 = KinematicObject(np.array([0.0, 0.0]), [0.0, 0.0], 1, [0.0], np.array([0.0]), [1.0])
assert True
@raises(ValueError)
def test_KinematicObject_Invalid_posvel_Sizes():
obj1 = KinematicObject([0.0, 0.0], [0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
obj2 = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0], [0.0, 0.0], [1.0])
obj3 = KinematicObject(np.array([0.0, 0.0]), [0.0, 0.0], 1, [0.0], np.array([0.0]), [1.0])
@raises(ValueError)
def test_KinematicObject_Invalid_rotvel_Sizes():
obj2 = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0], [0.0, 0.0], [1.0])
obj3 = KinematicObject(np.array([0.0, 0.0]), [0.0, 0.0], 1, [0.0], np.array([0.0]), [1.0])
@raises(ValueError)
def test_KinematicObject_Invalid_rotmom_Sizes():
obj2 = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0], [0.0], [1.0, 0.0])
def test_KinematicObject_point_dist():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
assert obj.dist([0.0, 1.0]) == 1.0
def test_KinematicObject_KinematicObject_dist():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
obj2 = KinematicObject([0.0, 1.0], [10.0, 0.0], 1, [0.0], [0.0], [1.0])
assert obj.dist(obj2) == 1.0
@raises(ValueError)
def test_KinematicObject_invalid_point_dist():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
assert obj.dist([0.0, 1.0, 0.0]) == 1.0
def test_KinematicObject_pos_step():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [1.0, 1.0])
print obj.step([0.0, 1.0], [0.0, 0.0], 1)
for i, j in zip(obj.step([0.0, 0.0], [1.0, 0.0], 1), (np.array([0., 2.]), np.array([0., 1.]),
np.array([1., 0.]), np.array([1., 0.]))):
print "Comparing {} and {}".format(i, j)
assert (i == j).all()
def test_KinematicObject_rot_step():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [0.5, 1.0])
print obj.step([0.0, 1.0], [1.0, 1.0], 1)
for i, j in zip(obj.step([0.0, 0.0], [0.0, 0.0], 1), (np.array([0., 2.]), np.array([0., 1.]),
np.array([4., 2.]), np.array([2., 1.]))):
print "Comparing {} and {}".format(i, j)
assert (i == j).all()
@raises(ValueError)
def test_KinematicObject_pos_exept_delt():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [0.5, 1.0])
print obj.step([0.0, 1.0], [1.0, 1.0], 1)
for i, j in zip(obj.step([0.0, 0.0], [0.0, 0.0], 0), (np.array([0., 2.]), np.array([0., 1.]),
np.array([4., 2.]), np.array([2., 1.]))):
print "Comparing {} and {}".format(i, j)
assert (i == j).all()
@raises(ValueError)
def test_KinematicObject_pos_exept_force():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [0.5, 1.0])
print obj.step([0.0, 1.0], [1.0, 1.0], 1)
for i, j in zip(obj.step([0.0], [0.0, 0.0], 1), (np.array([0., 2.]), np.array([0., 1.]),
np.array([4., 2.]), np.array([2., 1.]))):
print "Comparing {} and {}".format(i, j)
assert (i == j).all()
@raises(ValueError)
def test_KinematicObject_pos_exept_mom():
obj = KinematicObject([0.0, 0.0], [0.0, 0.0], 1, [0.0, 0.0], [0.0, 0.0], [0.5, 1.0])
print obj.step([0.0, 1.0], [1.0, 1.0], 1)
for i, j in zip(obj.step([0.0, 0.0], [0.0], 1), (np.array([0., 2.]), np.array([0., 1.]),
np.array([4., 2.]), np.array([2., 1.]))):
print "Comparing {} and {}".format(i, j)
assert (i == j).all()
| 38.768421 | 94 | 0.546837 | 769 | 3,683 | 2.564369 | 0.06632 | 0.267748 | 0.31643 | 0.336714 | 0.887424 | 0.884381 | 0.831136 | 0.829615 | 0.791075 | 0.782454 | 0 | 0.156863 | 0.155308 | 3,683 | 94 | 95 | 39.180851 | 0.477017 | 0 | 0 | 0.550725 | 0 | 0 | 0.025808 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 0 | null | null | 0 | 0.043478 | null | null | 0.144928 | 0 | 0 | 0 | null | 1 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
de3b70f18890eec6b90168437e4855d8474fd1b6 | 2,877 | py | Python | tests/tests_route.py | HakurouKen/django-auto-route | 1f98ba24cb04e271b2c475524eb797a1bc12ae56 | [
"MIT"
] | null | null | null | tests/tests_route.py | HakurouKen/django-auto-route | 1f98ba24cb04e271b2c475524eb797a1bc12ae56 | [
"MIT"
] | null | null | null | tests/tests_route.py | HakurouKen/django-auto-route | 1f98ba24cb04e271b2c475524eb797a1bc12ae56 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.test import SimpleTestCase,override_settings
from autoroute import Inspector
from django.core.urlresolvers import resolve
from app import views
class DefaultTestCase(SimpleTestCase):
''' Test cases for autoroute with default params. '''
def test_auto_generated(self):
resolver = resolve('/app/views/auto-generated/')
self.assertEqual(resolver.func,views.auto_generated)
def test_with_name(self):
resolver = resolve('/app/views/with-name/')
self.assertEqual(resolver.func,views.with_name)
self.assertEqual(resolver.url_name,'with-name')
def test_custom(self):
resolver = resolve('/app/views/custom/')
self.assertEqual(resolver.func,views.custom_route)
self.assertEqual(resolver.url_name,'custom-name')
@override_settings(ROOT_URLCONF='camel_urls')
class CamelTestCase(SimpleTestCase):
''' Test cases for autoroute of `camel` style. '''
def test_auto_generated(self):
resolver = resolve('/app/views/autoGenerated/')
self.assertEqual(resolver.func,views.auto_generated)
def test_with_name(self):
resolver = resolve('/app/views/withName/')
self.assertEqual(resolver.func,views.with_name)
self.assertEqual(resolver.url_name,'with-name')
def test_custom(self):
resolver = resolve('/app/views/custom/')
self.assertEqual(resolver.func,views.custom_route)
self.assertEqual(resolver.url_name,'custom-name')
@override_settings(ROOT_URLCONF='underscore_urls')
class UnderscoreTestCase(SimpleTestCase):
''' Test cases for autoroute of `underscore` style. '''
def test_auto_generated(self):
resolver = resolve('/app/views/auto_generated/')
self.assertEqual(resolver.func,views.auto_generated)
def test_with_name(self):
resolver = resolve('/app/views/with_name/')
self.assertEqual(resolver.func,views.with_name)
self.assertEqual(resolver.url_name,'with-name')
def test_custom(self):
resolver = resolve('/app/views/custom/')
self.assertEqual(resolver.func,views.custom_route)
self.assertEqual(resolver.url_name,'custom-name')
@override_settings(ROOT_URLCONF='transformed_urls')
class TransformTestCase(SimpleTestCase):
''' Test cases for autoroute with default params. '''
def test_auto_generated(self):
resolver = resolve('/app/auto-generated/')
self.assertEqual(resolver.func,views.auto_generated)
def test_with_name(self):
resolver = resolve('/app/with-name/')
self.assertEqual(resolver.func,views.with_name)
self.assertEqual(resolver.url_name,'with-name')
def test_custom(self):
resolver = resolve('/app/custom/')
self.assertEqual(resolver.func,views.custom_route)
self.assertEqual(resolver.url_name,'custom-name')
| 36.417722 | 60 | 0.707334 | 341 | 2,877 | 5.815249 | 0.140762 | 0.151286 | 0.231972 | 0.133132 | 0.847706 | 0.847706 | 0.810388 | 0.810388 | 0.810388 | 0.810388 | 0 | 0.000418 | 0.168926 | 2,877 | 78 | 61 | 36.884615 | 0.828942 | 0.072645 | 0 | 0.636364 | 0 | 0 | 0.136587 | 0.045025 | 0 | 0 | 0 | 0 | 0.363636 | 1 | 0.218182 | false | 0 | 0.072727 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7214bea53e35937eb3383cd8d95d00ef453d2036 | 33,064 | py | Python | Parameter_inference_real_data/python/priors.py | CardiacModelling/model-reduction-manifold-boundaries | 88ccb24d0ec9d0742a4a93e820fec7fee1a65b61 | [
"BSD-3-Clause"
] | null | null | null | Parameter_inference_real_data/python/priors.py | CardiacModelling/model-reduction-manifold-boundaries | 88ccb24d0ec9d0742a4a93e820fec7fee1a65b61 | [
"BSD-3-Clause"
] | null | null | null | Parameter_inference_real_data/python/priors.py | CardiacModelling/model-reduction-manifold-boundaries | 88ccb24d0ec9d0742a4a93e820fec7fee1a65b61 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
#
# Pints Boundaries that limit the transition rates in the Beattie et al model.
#
from __future__ import division, print_function
import numpy as np
import pints
class LogPrior(pints.LogPrior):
"""
Boundary constraints on the parameters
"""
def __init__(self, which_model='wang', transformation=None):
super(LogPrior, self).__init__()
self.which_model = which_model
# Conductance limits
self.lower_conductance = 1e-2
self.upper_conductance = 1e0
# Limits on p1-p8
self.lower_alpha = 1e-7 # Kylie: 1e-7
self.upper_alpha = 1e3 # Kylie: 1e3
self.upper_big_alpha = 1e6
self.lower_beta = 1e-7 # Kylie: 1e-7
self.upper_beta = 0.4 # Kylie: 0.4
self.lower_rate = 1.67e-5
self.upper_rate = 1000
# Lower and upper bounds for all parameters
if self.which_model == 'mazhari':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_rate,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_rate,
self.upper_conductance
])
elif self.which_model == 'mazhari-reduced':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r1':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_conductance
])
elif self.which_model == 'wang-r2':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_big_alpha,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r3':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r4':
self.lower = np.array([
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r5':
self.lower = np.array([
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_rate,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_big_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_rate,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r6':
self.lower = np.array([
self.lower_beta,
self.lower_alpha,
self.lower_alpha,
self.lower_alpha,
self.lower_beta,
self.lower_alpha,
self.lower_beta,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_beta,
self.upper_alpha,
self.upper_alpha,
self.upper_alpha,
self.upper_beta,
self.upper_alpha,
self.upper_beta,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r7':
self.lower = np.array([
self.lower_beta,
self.lower_alpha,
self.lower_alpha,
self.lower_alpha,
self.lower_beta,
self.lower_rate,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_beta,
self.upper_alpha,
self.upper_alpha,
self.upper_alpha,
self.upper_beta,
self.upper_rate,
self.upper_beta,
self.upper_conductance
])
elif self.which_model == 'wang-r8':
self.lower = np.array([
self.lower_beta,
self.lower_alpha,
self.lower_alpha,
self.lower_alpha,
self.lower_beta,
self.lower_beta,
self.lower_conductance
])
self.upper = np.array([
self.upper_beta,
self.upper_alpha,
self.upper_alpha,
self.upper_big_alpha,
self.upper_beta,
self.upper_beta,
self.upper_conductance
])
else:
pass
self.minf = -float('inf')
# Limits on maximum reaction rates
self.rmin = 1e-5 # Reduced as original 1.67e-5 is not obeyed by Mazhari model
self.rmax = 1000
self.super_rmax = 1e6
# Voltages used to calculate maximum rates
self.vmin = -120
self.vmax = 60
# Optional transformation
self.transformation = transformation
# Number of parameters
if self.which_model == 'mazhari':
n_params = 17
elif self.which_model == 'mazhari-reduced':
n_params = 11
elif self.which_model == 'wang':
n_params = 15
elif self.which_model == 'wang-r1':
n_params = 14
elif self.which_model == 'wang-r2':
n_params = 13
elif self.which_model == 'wang-r3':
n_params = 12
elif self.which_model == 'wang-r4':
n_params = 11
elif self.which_model == 'wang-r5':
n_params = 10
elif self.which_model == 'wang-r6':
n_params = 9
elif self.which_model == 'wang-r7':
n_params = 8
elif self.which_model == 'wang-r8':
n_params = 7
else:
pass
self.n_params = n_params
def n_parameters(self):
return self.n_params
def __call__(self, parameters):
debug = True
# Transform parameters back to model space
if self.transformation is not None:
parameters = self.transformation.detransform(parameters,self.which_model)
# Check parameter boundaries
if np.any(parameters < self.lower):
if debug: print('Lower')
return self.minf
if np.any(parameters > self.upper):
if debug: print('Upper')
return self.minf
if self.which_model == 'mazhari':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('r1')
return self.minf
r = p5 * np.exp(p6 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('r2')
return self.minf
r = p9 * np.exp(p10 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('r3')
return self.minf
r = p13 * np.exp(p14 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('r4')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('r5')
return self.minf
r = p7 * np.exp(-p8 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('r6')
return self.minf
r = p11 * np.exp(-p12 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('r7')
return self.minf
elif self.which_model == 'mazhari-reduced':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k23')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k32')
return self.minf
r = p6 * np.exp(-p7 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k43')
return self.minf
r = p9 * np.exp(-p10 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k15')
return self.minf
elif self.which_model == 'wang':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k23')
return self.minf
r = p7 * np.exp(p8 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k34')
return self.minf
r = p11 * np.exp(p12 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k51')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k32')
return self.minf
r = p9 * np.exp(-p10 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k43')
return self.minf
r = p13 * np.exp(-p14 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k15')
return self.minf
elif self.which_model == 'wang-r1':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k23')
return self.minf
r = p7 * np.exp(p8 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k34')
return self.minf
r = p11 * np.exp(p12 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('k51')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k32')
return self.minf
r = p9 * np.exp(-p10 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('k43')
return self.minf
elif self.which_model == 'wang-r2':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C3toO')
return self.minf
r = p7 * np.exp(p8 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('OtoI')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('OtoC3')
return self.minf
r = p9 * np.exp(-p10 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('ItoO')
return self.minf
elif self.which_model == 'wang-r3':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12 = parameters
# Check positive signed rates
r = p1 * np.exp(p2 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C3toO')
return self.minf
r = p7 * np.exp(p8 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('OtoI')
return self.minf
r = p5 * np.exp(p11 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p4 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('OtoC3')
return self.minf
r = p9 * np.exp(-p10 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('ItoO')
return self.minf
elif self.which_model == 'wang-r4':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11 = parameters
# Check positive signed rates
r = p6 * np.exp(p7 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('OtoI')
return self.minf
r = p4 * np.exp(p10 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3')
return self.minf
# Check negative signed rates
r = p2 * np.exp(-p3 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('OtoC3')
return self.minf
r = p8 * np.exp(-p9 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('ItoO')
return self.minf
elif self.which_model == 'wang-r5':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9, p10 = parameters
# Check positive signed rates
r = p3 * np.exp(p9 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3O')
return self.minf
r = p5 * np.exp(p6 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoI')
return self.minf
# Check negative signed rates
r = p7 * np.exp(-p8 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('ItoC3O')
return self.minf
elif self.which_model == 'wang-r6':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8, p9 = parameters
# Check positive signed rates
r = p4 * np.exp(p5 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoI')
return self.minf
r = p2 * np.exp(p8 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3O')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p1 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoC12')
return self.minf
r = p6 * np.exp(-p7 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('ItoC3O')
return self.minf
elif self.which_model == 'wang-r7':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7, p8 = parameters
# Check positive signed rates
r = p2 * np.exp(p7 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3O')
return self.minf
r = p4 * np.exp(p5 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoI')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p1 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoC12')
return self.minf
elif self.which_model == 'wang-r8':
# Check maximum rate constants
p1, p2, p3, p4, p5, p6, p7 = parameters
# Check positive signed rates
r = p2 * np.exp(p6 * self.vmax)
if r < self.rmin or r > self.rmax:
if debug: print('C12toC3O')
return self.minf
# Check negative signed rates
r = p3 * np.exp(-p1 * self.vmin)
if r < self.rmin or r > self.rmax:
if debug: print('C3OtoC12')
return self.minf
else:
pass
return True
def _sample_partial(self, v):
"""
Sample a pair of parameters - uniformly in the transformed space - that
satisfy the maximum transition rate constraints.
"""
for i in range(100):
a = np.exp(np.random.uniform(
np.log(self.lower_alpha), np.log(self.upper_alpha)))
b = np.random.uniform(self.lower_beta, self.upper_beta)
r = a * np.exp(b * v)
if r >= self.rmin and r <= self.rmax:
return a, b
raise ValueError('Too many iterations')
def sample(self, n=1):
if n > 1:
raise NotImplementedError
p = np.zeros(self.n_params)
if self.which_model == 'mazhari':
# Sample forward rates
p[0:2] = self._sample_partial(self.vmax)
p[4:6] = self._sample_partial(self.vmax)
p[8:10] = self._sample_partial(self.vmax)
p[12:14] = self._sample_partial(self.vmax)
# Sample backward rates
p[2:4] = self._sample_partial(-self.vmin)
p[6:8] = self._sample_partial(-self.vmin)
p[10:12] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[14:16] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[16] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'mazhari-reduced':
# Sample forward rates
p[0:2] = self._sample_partial(self.vmax)
# Sample backward rates
p[2:4] = self._sample_partial(-self.vmin)
p[5:7] = self._sample_partial(-self.vmin)
p[8:10] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[4] = np.exp(np.random.uniform(
np.log(self.lower_rate), np.log(self.upper_rate)))
p[7] = np.exp(np.random.uniform(
np.log(self.lower_rate), np.log(self.upper_rate)))
# Sample conductance
p[10] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang':
# Sample forward rates
p[0:2] = self._sample_partial(self.vmax)
p[6:8] = self._sample_partial(self.vmax)
p[10:12] = self._sample_partial(self.vmax)
# Sample backward rates
p[2:4] = self._sample_partial(-self.vmin)
p[8:10] = self._sample_partial(-self.vmin)
p[12:14] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[4:6] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[14] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r1':
# Sample forward rates
p[0:2] = self._sample_partial(self.vmax)
p[6:8] = self._sample_partial(self.vmax)
p[10:12] = self._sample_partial(self.vmax)
# Sample backward rates
p[2:4] = self._sample_partial(-self.vmin)
p[8:10] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[4:6] = np.random.uniform(
self.lower_rate, self.upper_rate)
p[12] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[13] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r2':
# Sample forward rates
p[0:2] = self._sample_partial(self.vmax)
p[6:8] = self._sample_partial(self.vmax)
# Sample backward rates
p[2:4] = self._sample_partial(-self.vmin)
p[8:10] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[4:6] = np.random.uniform(
self.lower_rate, self.upper_rate)
p[10] = np.random.uniform(
self.lower_alpha, self.upper_big_alpha)
p[11] = np.random.uniform(
self.lower_beta, self.upper_beta)
# Sample conductance
p[12] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r3':
# Sample forward rates
p[0], p[1] = self._sample_partial(self.vmax)
p[4], p[10] = self._sample_partial(self.vmax)
p[6], p[7] = self._sample_partial(self.vmax)
# Sample backward rates
p[2], p[3] = self._sample_partial(-self.vmin)
p[8], p[9] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[5] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[11] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r4':
# Sample forward rates
p[3], p[9] = self._sample_partial(self.vmax)
p[5], p[6] = self._sample_partial(self.vmax)
# Sample backward rates
p[1], p[2] = self._sample_partial(-self.vmin)
p[7], p[8] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[0] = np.random.uniform(
self.lower_rate, self.upper_rate)
p[4] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[10] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r5':
# Sample forward rates
p[2], p[8] = self._sample_partial(self.vmax)
p[4], p[5] = self._sample_partial(self.vmax)
# Sample backward rates
p[6], p[7] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[0] = np.random.uniform(
self.lower_alpha, self.upper_big_alpha)
p[1] = np.random.uniform(
self.lower_beta, self.upper_beta)
p[3] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[9] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r6':
# Sample forward rates
p[3], p[4] = self._sample_partial(self.vmax)
p[1], p[7] = self._sample_partial(self.vmax)
# Sample backward rates
p[2], p[0] = self._sample_partial(-self.vmin)
p[5], p[6] = self._sample_partial(-self.vmin)
# Sample conductance
p[8] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r7':
# Sample forward rates
p[1], p[6] = self._sample_partial(self.vmax)
p[3], p[4] = self._sample_partial(self.vmax)
# Sample backward rates
p[2], p[0] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[5] = np.random.uniform(
self.lower_rate, self.upper_rate)
# Sample conductance
p[7] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
elif self.which_model == 'wang-r8':
# Sample forward rates
p[1], p[5] = self._sample_partial(self.vmax)
# Sample backward rates
p[2], p[0] = self._sample_partial(-self.vmin)
# Sample voltage-independent rates
p[3] = np.random.uniform(
self.lower_alpha, self.upper_big_alpha)
p[4] = np.random.uniform(
self.lower_beta, self.upper_beta)
# Sample conductance
p[6] = np.random.uniform(
self.lower_conductance, self.upper_conductance)
else:
pass
# Transform from model to search space, if required
if self.transformation is not None:
p = self.transformation.transform(p,self.which_model)
# The Boundaries interface requires a matrix ``(n, n_parameters)``
p.reshape(1, self.n_params)
return p
| 35.744865 | 99 | 0.471328 | 3,691 | 33,064 | 4.083175 | 0.053915 | 0.104505 | 0.051092 | 0.060912 | 0.888926 | 0.880632 | 0.839891 | 0.821777 | 0.808838 | 0.776325 | 0 | 0.032551 | 0.43694 | 33,064 | 924 | 100 | 35.78355 | 0.776978 | 0.081327 | 0 | 0.83032 | 0 | 0 | 0.01892 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006954 | false | 0.005563 | 0.004172 | 0.001391 | 0.086231 | 0.069541 | 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 |
a0f968488608abdb32c0c848e9a1985d94b65267 | 2,723 | py | Python | plugin/cardtel.py | pasha00000/mbplugin | e919c7c899495ae7f4b04fc2568991bb717bed9a | [
"MIT"
] | null | null | null | plugin/cardtel.py | pasha00000/mbplugin | e919c7c899495ae7f4b04fc2568991bb717bed9a | [
"MIT"
] | null | null | null | plugin/cardtel.py | pasha00000/mbplugin | e919c7c899495ae7f4b04fc2568991bb717bed9a | [
"MIT"
] | null | null | null | # -*- coding: utf8 -*-
''' Автор ArtyLa '''
import os, sys, re, logging
import requests
import store
re_balance = r'(?usi)Баланс.*?>.*?>(-?\d*\.\d*)<'
icon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
login_url = 'https://my.cardtel.ru/home'
login_checkers = ['<input[^>]*name="authpwd"[^>]*', '<input[^>]*name="authpwd2"[^>]*', '<input[^>]*name="authlogin"[^>]*', '<input[^>]*type="button"[^>]*']
def get_balance(login, password, storename=None, **kwargs):
logging.info(f'start get_balance {login}')
result = {}
session = store.Session(storename)
# Проверяем залогинены ли ?
response3 = session.get('https://my.cardtel.ru/home')
if len(re.findall(re_balance, response3.content.decode('utf8'))) > 0:
logging.info('Old session is ok')
else: # Нет, логинимся
data = {'op': 'auth', 'login': login, 'pwd': password, 'red': '1', 'remember': 'false'}
session.drop_and_create()
response2 = session.post('https://my.cardtel.ru/process', data=data)
if response3.status_code != 200:
raise RuntimeError(
f'Login error: status_code {response2.status_code}!=200')
response3 = session.get('https://my.cardtel.ru/home')
if response3.status_code != 200:
raise RuntimeError(
f'Get balance page error: status_code {response2.status_code}!=200')
balance = re.findall(re_balance, response3.content.decode('utf8'))
if len(balance) == 0:
raise RuntimeError(f'Balance not found on page')
result['Balance'] = balance[0]
session.save_session()
return result
if __name__ == '__main__':
print('This is module cardtel')
| 63.325581 | 1,060 | 0.755417 | 199 | 2,723 | 10.21608 | 0.452261 | 0.029513 | 0.027546 | 0.031481 | 0.170192 | 0.160354 | 0.160354 | 0.123955 | 0.040334 | 0 | 0 | 0.277919 | 0.13184 | 2,723 | 42 | 1,061 | 64.833333 | 0.582064 | 0.02791 | 0 | 0.181818 | 0 | 0 | 0.605547 | 0.485747 | 0 | 1 | 0 | 0 | 0 | 1 | 0.030303 | false | 0.060606 | 0.090909 | 0 | 0.151515 | 0.030303 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
9d233365d0d1af937af74719416c4e1b324f0efd | 22,491 | py | Python | compilesub.py | singaporezoo/codebreaker-official | 1fe5792f1c36f922abd0836d8dcb42d271a9323d | [
"MIT"
] | 11 | 2021-09-19T06:32:44.000Z | 2022-03-14T19:09:46.000Z | compilesub.py | singaporezoo/codebreaker-official | 1fe5792f1c36f922abd0836d8dcb42d271a9323d | [
"MIT"
] | null | null | null | compilesub.py | singaporezoo/codebreaker-official | 1fe5792f1c36f922abd0836d8dcb42d271a9323d | [
"MIT"
] | 1 | 2022-03-02T13:27:27.000Z | 2022-03-02T13:27:27.000Z | import io
import time
from datetime import datetime
import subprocess
import contestmode
import awstools
from uuid import uuid4
MAX_ERROR_LENGTH = 500
def check(code, problem_info, userInfo):
validated = problem_info["validated"]
nowhitespace = code.replace(" ", "")
if not validated:
if (userInfo == None):
return {"status":"warning","message":"Please log in."}
elif (userInfo['role'] != 'admin' and userInfo['role'] != 'superadmin'):
return {"status":"warning","message":"Sorry, this problem still has issues. Please contact the administrators."}
else:
return {"status":"danger","message":"Problem has 1 or more issues that require fixing"}
if ("system" in nowhitespace and "system_" not in nowhitespace):
return {"status":"danger", "message":"You have used some keywords in your code that we don't allow, please contact an admin if you believe there is an issue"}
banned = [] #["fork", "popen", "popen2", "execv", "execl", "execlp", "execvpe", "execle"]
for b in banned:
if b in nowhitespace:
return {"status":"danger", "message":"You have used some keywords in your code that we don't allow, please contact an admin if you believe there is an issue"}
#print(len(code))
if len(code) > 128000:
time.sleep(0.75)
return {"status":"danger", "message":":snuffle: your code is longer than shuffle! At most 128000 characters or you'll get poked!"}
return {"status":"success", "message":""}
def compileCommunication(codeA, codeB, problem_info):
timeLimit = problem_info['timeLimit']
memoryLimit = problem_info['memoryLimit']
subtaskMaxScores = problem_info['subtaskScores']
subtaskNumber = len(subtaskMaxScores)
subtaskDependency = problem_info['subtaskDependency']
testcaseNumber = problem_info['testcaseCount']
customChecker = problem_info['customChecker']
source = problem_info['source']
author = problem_info['author']
title = problem_info['title']
analysisVisible = problem_info['analysisVisible']
problemType = problem_info['problem_type']
validated = problem_info['validated']
PROBLEM_NAME = problem_info['problemName']
nameA = problem_info['nameA']
nameB = problem_info['nameB']
compileError=""
if problemType == 'Communication':
subuuid = str(uuid4())
subprocess.run(f'mkdir tmp/submissions/{subuuid}', shell=True)
sourceAName = f"tmp/submissions/{subuuid}/{nameA}.cpp"
sourceBName = f"tmp/submissions/{subuuid}/{nameB}.cpp"
headerAName = f"tmp/submissions/{subuuid}/{nameA}.h"
headerBName = f"tmp/submissions/{subuuid}/{nameB}.h"
graderName = f"tmp/submissions/{subuuid}/grader.cpp"
compiledName = f"tmp/submissions/{subuuid}/{subuuid}"
#Save the code
with open(sourceAName,"w") as sourceFile:
sourceFile.write(codeA)
sourceFile.close()
with open(sourceBName,"w") as sourceFile:
sourceFile.write(codeB)
sourceFile.close()
try:
# Bring from s3
awstools.getGraderFile(f'{PROBLEM_NAME}/grader.cpp', graderName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{nameA}.h', headerAName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{nameB}.h', headerBName)
#compile the code
cmd=f"timeout 30s g++ -O2 -o {compiledName} {graderName} {sourceAName} {sourceBName} -m64 -static -std=gnu++17 -lm -s -w -Wall"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
subId = awstools.getNextSubmissionId()
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
# Upload the source code to S3
uploadTarget=f"source/{subId}A.cpp"
awstools.uploadCode(sourceAName,uploadTarget)
uploadTarget=f"source/{subId}B.cpp"
awstools.uploadCode(sourceBName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
username = awstools.getCurrentUserInfo()['username']
awstools.gradeSubmission(PROBLEM_NAME,subId,username)
#session["lastSubmission"] = time.time()
time.sleep(2)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError as e:
time.sleep(0.75)
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
compileError += process.stderr.decode('UTF-8')
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compileError[:MAX_ERROR_LENGTH]
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
return {"status":"compileError","message":compileError}
else:
return {'status': 'compileError', 'message': "problem isn't even communication"}
return {"status":"success","message":""}
def compilesub(code, problem_info, language):
timeLimit = problem_info['timeLimit']
memoryLimit = problem_info['memoryLimit']
subtaskMaxScores = problem_info['subtaskScores']
subtaskNumber = len(subtaskMaxScores)
subtaskDependency = problem_info['subtaskDependency']
testcaseNumber = problem_info['testcaseCount']
customChecker = problem_info['customChecker']
source = problem_info['source']
author = problem_info['author']
title = problem_info['title']
analysisVisible = problem_info['analysisVisible']
problemType = problem_info['problem_type']
validated = problem_info['validated']
PROBLEM_NAME = problem_info['problemName']
compileError=""
if language == 'py':
# Don't need to compile, just save
# Save the code
subuuid = str(uuid4())
sourceName = f"tmp/submissions/{subuuid}.py"
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
# Upload python code to source
subId = awstools.getNextSubmissionId()
uploadTarget=f"source/{subId}.py"
awstools.uploadCode(sourceName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm {sourceName}', shell=True)
username = awstools.getCurrentUserInfo()['username']
awstools.gradeSubmission(PROBLEM_NAME,subId,username,language=language)
time.sleep(1.5)
return {"status":"redirect","message":f"/submission/{subId}"}
if problemType == 'Batch':
subuuid = str(uuid4())
sourceName = f"tmp/submissions/{subuuid}.cpp"
compiledName = f"tmp/submissions/{subuuid}"
#Save the code
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
try:
#compile the code
cmd=f"timeout 50s g++ -O2 -o {compiledName} {sourceName} -m64 -static -std=gnu++17 -lm -s -w -Wall -Wshadow -fmax-errors=512"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
#print(f"after compile: {datetime.now()}")
subId = awstools.getNextSubmissionId()
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
# Upload the source code to S3
uploadTarget=f"source/{subId}.cpp"
awstools.uploadCode(sourceName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm {sourceName}', shell=True)
subprocess.run(f'sudo rm {compiledName}', shell=True)
username = awstools.getCurrentUserInfo()['username']
awstools.gradeSubmission(PROBLEM_NAME,subId,username)
time.sleep(1.5)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError:
time.sleep(0.75)
subprocess.run(f'sudo rm {sourceName}', shell=True)
compileError += process.stderr.decode('UTF-8')
#compileError = compileError.replace("\n", "<br>")
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compileError[:MAX_ERROR_LENGTH]
if compileError == "":
compileError = 'Compile timed out after 30s'
return {"status":"compileError","message":compileError}
elif problemType == 'Interactive':
subuuid = str(uuid4())
subprocess.run(f'mkdir tmp/submissions/{subuuid}', shell=True)
sourceName = f"tmp/submissions/{subuuid}/{PROBLEM_NAME}.cpp"
headerName = f"tmp/submissions/{subuuid}/{PROBLEM_NAME}.h"
graderName = f"tmp/submissions/{subuuid}/grader.cpp"
compiledName = f"tmp/submissions/{subuuid}/{subuuid}"
#Save the code
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
try:
# Bring from s3
awstools.getGraderFile(f'{PROBLEM_NAME}/grader.cpp', graderName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{PROBLEM_NAME}.h', headerName)
#compile the code
cmd=f"timeout 30s g++ -O2 -o {compiledName} {graderName} {sourceName} -m64 -static -std=gnu++17 -lm -s -w -Wall"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
subId = awstools.getNextSubmissionId()
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
# Upload the source code to S3
uploadTarget=f"source/{subId}.cpp"
awstools.uploadCode(sourceName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
username = awstools.getCurrentUserInfo()['username']
awstools.gradeSubmission(PROBLEM_NAME,subId,username)
#session["lastSubmission"] = time.time()
time.sleep(2)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError as e:
time.sleep(0.75)
compileError += process.stderr.decode('UTF-8')
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compileError[:MAX_ERROR_LENGTH]
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
return {"status":"compileError","message":compileError}
return {"status":"success","message":""}
def regradeCommunication(subId, regrade_type=0):
subInfo = awstools.getSubmission(subId,False)
if subInfo is None:
return {'status':"warning",'message':"This submission doesn't exist"}
problemName = subInfo['problemName']
problem_info = awstools.getProblemInfo(problemName)
if type(problem_info) is str:
return {'status':"warning",'message':"This problem doesn't exist"}
if regrade_type==1 and subInfo['totalScore'] == 0:
return {'status':'warning','message':'Score is 0, skipped'}
if regrade_type==2 and subInfo['totalScore'] != 100:
return {'status':'warning','message':'Not AC, skipped'}
timeLimit = problem_info['timeLimit']
memoryLimit = problem_info['memoryLimit']
subtaskMaxScores = problem_info['subtaskScores']
subtaskNumber = len(subtaskMaxScores)
subtaskDependency = problem_info['subtaskDependency']
testcaseNumber = problem_info['testcaseCount']
customChecker = problem_info['customChecker']
source = problem_info['source']
author = problem_info['author']
title = problem_info['title']
analysisVisible = problem_info['analysisVisible']
problemType = problem_info['problem_type']
validated = problem_info['validated']
PROBLEM_NAME = problem_info['problemName']
nameA = problem_info['nameA']
nameB = problem_info['nameB']
codeA = subInfo['codeA']
codeB = subInfo['codeB']
username = subInfo['username']
submissionTime = subInfo['submissionTime']
compileError=""
if problemType == 'Communication':
subuuid = str(uuid4())
subprocess.run(f'mkdir tmp/submissions/{subuuid}', shell=True)
sourceAName = f"tmp/submissions/{subuuid}/{nameA}.cpp"
sourceBName = f"tmp/submissions/{subuuid}/{nameB}.cpp"
headerAName = f"tmp/submissions/{subuuid}/{nameA}.h"
headerBName = f"tmp/submissions/{subuuid}/{nameB}.h"
graderName = f"tmp/submissions/{subuuid}/grader.cpp"
compiledName = f"tmp/submissions/{subuuid}/{subuuid}"
#Save the code
with open(sourceAName,"w") as sourceFile:
sourceFile.write(codeA)
sourceFile.close()
with open(sourceBName,"w") as sourceFile:
sourceFile.write(codeB)
sourceFile.close()
try:
# Bring from s3
awstools.getGraderFile(f'{PROBLEM_NAME}/grader.cpp', graderName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{nameA}.h', headerAName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{nameB}.h', headerBName)
#compile the code
cmd=f"timeout 30s g++ -O2 -o {compiledName} {graderName} {sourceAName} {sourceBName} -m64 -static -std=gnu++17 -lm -s -w -Wall"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
# Upload the source code to S3
uploadTarget=f"source/{subId}A.cpp"
awstools.uploadCode(sourceAName,uploadTarget)
uploadTarget=f"source/{subId}B.cpp"
awstools.uploadCode(sourceBName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
awstools.gradeSubmission(PROBLEM_NAME,subId,username,submissionTime,regradeall=True)
#session["lastSubmission"] = time.time()
time.sleep(2)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError as e:
time.sleep(0.75)
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
compileError += process.stderr.decode('UTF-8')
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compileError[:MAX_ERROR_LENGTH]
return {"status":"compileError","message":compileError}
else:
return {'status': 'compileError', 'message': "problem isn't even communication"}
return {"status":"success","message":""}
def regradeSub(subId, regrade_type = 0, language = 'cpp'):
subInfo = awstools.getSubmission(subId,False)
if subInfo is None:
return {'status':"warning",'message':"This submission doesn't exist"}
problemName = subInfo['problemName']
problem_info = awstools.getProblemInfo(problemName)
if type(problem_info) is str:
return {'status':"warning",'message':"This problem doesn't exist"}
if problem_info['problem_type'] == 'Communication':
return regradeCommunication(subId, regrade_type)
if regrade_type==1 and subInfo['totalScore'] == 0:
return {'status':'warning','message':'Score is 0, skipped'}
if regrade_type==2 and subInfo['totalScore'] != 100:
return {'status':'warning','message':'Not AC, skipped'}
timeLimit = problem_info['timeLimit']
memoryLimit = problem_info['memoryLimit']
subtaskMaxScores = problem_info['subtaskScores']
subtaskNumber = len(subtaskMaxScores)
subtaskDependency = problem_info['subtaskDependency']
testcaseNumber = problem_info['testcaseCount']
customChecker = problem_info['customChecker']
source = problem_info['source']
author = problem_info['author']
title = problem_info['title']
analysisVisible = problem_info['analysisVisible']
problemType = problem_info['problem_type']
validated = problem_info['validated']
PROBLEM_NAME = problem_info['problemName']
code = subInfo['code']
username = subInfo['username']
submissionTime = subInfo['submissionTime']
compileError=""
if language == 'py':
# Don't need to compile, just save
# Save the code
subuuid = str(uuid4())
sourceName = f"tmp/submissions/{subuuid}.py"
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
# Upload python code to source
uploadTarget=f"source/{subId}.py"
awstools.uploadCode(sourceName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm {sourceName}', shell=True)
username = awstools.getCurrentUserInfo()['username']
awstools.gradeSubmission(PROBLEM_NAME,subId,username,language=language)
time.sleep(1.5)
return {"status":"redirect","message":f"/submission/{subId}"}
if problemType == 'Batch':
subuuid = str(uuid4())
sourceName = f"tmp/submissions/{subuuid}.cpp"
compiledName = f"tmp/submissions/{subuuid}"
#Save the code
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
try:
#compile the code
cmd=f"timeout 30s g++ -O2 -o {compiledName} {sourceName} -m64 -static -std=gnu++17 -lm -s -w -Wall -Wshadow -fmax-errors=512"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
#print(f"after compile: {datetime.now()}")
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm {sourceName}', shell=True)
subprocess.run(f'sudo rm {compiledName}', shell=True)
awstools.gradeSubmission(PROBLEM_NAME,subId,username,submissionTime,regradeall=True)
time.sleep(1.5)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError:
time.sleep(0.75)
subprocess.run(f'sudo rm {sourceName}', shell=True)
compileError += process.stderr.decode('UTF-8')
#compileError = compileError.replace("\n", "<br>")
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compilerError[:MAX_ERROR_LENGTH]
if compileError == "":
compileError = 'Compile timed out after 30s'
return {"status":"compileError","message":compileError}
elif problemType == 'Interactive':
subuuid = str(uuid4())
subprocess.run(f'mkdir tmp/submissions/{subuuid}', shell=True)
sourceName = f"tmp/submissions/{subuuid}/{PROBLEM_NAME}.cpp"
headerName = f"tmp/submissions/{subuuid}/{PROBLEM_NAME}.h"
graderName = f"tmp/submissions/{subuuid}/grader.cpp"
compiledName = f"tmp/submissions/{subuuid}/{subuuid}"
#Save the code
with open(sourceName,"w") as sourceFile:
sourceFile.write(code)
sourceFile.close()
try:
# Bring from s3
awstools.getGraderFile(f'{PROBLEM_NAME}/grader.cpp', graderName)
awstools.getGraderFile(f'{PROBLEM_NAME}/{PROBLEM_NAME}.h', headerName)
#compile the code
cmd=f"timeout 30s g++ -O2 -o {compiledName} {graderName} {sourceName} -m64 -static -std=gnu++17 -lm -s -w -Wall"
process = subprocess.run(cmd, shell=True, capture_output=True)
process.check_returncode()
#Upload the compiled code to S3
uploadTarget = f"compiled/{subId}"
awstools.uploadCode(compiledName,uploadTarget)
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
awstools.gradeSubmission(PROBLEM_NAME,subId,username,submissionTime,regradeall=True)
#session["lastSubmission"] = time.time()
time.sleep(2)
return {"status":"redirect","message":f"/submission/{subId}"}
except subprocess.CalledProcessError as e:
time.sleep(0.75)
compileError += process.stderr.decode('UTF-8')
compileError = compileError.replace(f"tmp/submissions/{subuuid}", "ans")
compileError = compileError.replace("<", "<")
compileError = compileError.replace(">", ">")
compileError = compileError[:MAX_ERROR_LENGTH]
#delete the codes
subprocess.run(f'sudo rm -rf tmp/submissions/{subuuid}', shell=True)
return {"status":"compileError","message":"compileError"}
return {"status":"success","message":""}
def regradeProblem(problemName, regrade_type = 0):
#Please use your discretion (or if you want to donate to codebreaker :p)
submissions = awstools.getSubmissionsToProblem(problemName)
for i in submissions:
subId = int(i['subId'])
submissionInfo = awstools.getSubmission(subId)
#print(submissionInfo)
regradeSub(subId, regrade_type=regrade_type, language=submissionInfo['language'])
awstools.updateScores(problemName)
| 40.090909 | 170 | 0.633676 | 2,317 | 22,491 | 6.092792 | 0.110056 | 0.050648 | 0.066941 | 0.049869 | 0.905291 | 0.901112 | 0.901112 | 0.901112 | 0.892895 | 0.892895 | 0 | 0.008647 | 0.239029 | 22,491 | 560 | 171 | 40.1625 | 0.816185 | 0.061269 | 0 | 0.887435 | 0 | 0.02356 | 0.262893 | 0.077928 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015707 | false | 0 | 0.018325 | 0 | 0.128272 | 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 |
9d4b85e06fd327a822cc23f8d6705570444971b3 | 167 | py | Python | backend/vehicle/admin.py | crowdbotics-apps/zaka-28999 | 5c9fff173a11033fc15f3930c2665b077756d738 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/vehicle/admin.py | crowdbotics-apps/zaka-28999 | 5c9fff173a11033fc15f3930c2665b077756d738 | [
"FTL",
"AML",
"RSA-MD"
] | 20 | 2021-08-16T11:43:14.000Z | 2021-12-05T15:32:28.000Z | backend/vehicle/admin.py | crowdbotics-apps/nyk-30233 | d5770a0622a3af836cbd70857ef3c2751692e3ef | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.contrib import admin
from .models import Vehicle, VehicleType
admin.site.register(VehicleType)
admin.site.register(Vehicle)
# Register your models here.
| 20.875 | 40 | 0.814371 | 22 | 167 | 6.181818 | 0.545455 | 0.235294 | 0.294118 | 0.411765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107784 | 167 | 7 | 41 | 23.857143 | 0.912752 | 0.155689 | 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 |
c23361ff357b7db687b6cc60d45d1423a4b5bfe5 | 24,606 | py | Python | det3d/models/detectors/voxelnet.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 47 | 2022-03-21T02:41:39.000Z | 2022-03-30T17:25:29.000Z | det3d/models/detectors/voxelnet.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 1 | 2022-03-28T15:11:26.000Z | 2022-03-28T16:27:40.000Z | det3d/models/detectors/voxelnet.py | Lelin-HUNUST/VISTA | 7bf34132d719cb0e5e803b92cd15451df58a9a5d | [
"MIT"
] | 2 | 2022-03-23T12:56:14.000Z | 2022-03-27T14:25:50.000Z | from ..registry import DETECTORS
from .single_stage import SingleStageDetector
import time
import pdb
import torch
from torch import nn
import spconv
import logging
from .. import builder
import pickle
import os
import numpy as np
def mkdir(path):
try:
os.makedirs(path)
except:
pass
@DETECTORS.register_module
class VoxelNet(SingleStageDetector):
def __init__(
self,
reader,
backbone,
neck,
bbox_head,
train_cfg=None,
test_cfg=None,
pretrained=None,
):
super(VoxelNet, self).__init__(
reader, backbone, neck, bbox_head, train_cfg, test_cfg, pretrained
)
def extract_feat(self, data):
input_features = self.reader(data["features"], data["num_voxels"])
x = self.backbone(
input_features, data["coors"], data["batch_size"], data["input_shape"]
)
if self.with_neck:
x = self.neck(x)
return x
def forward(self, example, return_loss=True, **kwargs):
voxels = example["voxels"]
coordinates = example["coordinates"]
num_points_in_voxel = example["num_points"]
num_voxels = example["num_voxels"]
batch_size = len(num_voxels)
data = dict(
features=voxels,
num_voxels=num_points_in_voxel,
coors=coordinates,
batch_size=batch_size,
input_shape=example["shape"][0],
)
x = self.extract_feat(data)
preds = self.bbox_head(x)
if return_loss:
return self.bbox_head.loss(example, preds)
else:
return self.bbox_head.predict(example, preds, self.test_cfg)
@DETECTORS.register_module
class VoxelNetOHS(VoxelNet):
def __init__(
self,
reader,
backbone,
neck,
bbox_head,
train_cfg=None,
test_cfg=None,
pretrained=None,
):
if bbox_head.mode in ['rv2bev', 'rv_bev', 'bev2rv', 'cycle']:
grid_size = reader.pop('grid_size')
super(VoxelNet, self).__init__(
reader, backbone, neck, bbox_head, train_cfg, test_cfg, pretrained
)
if train_cfg:
self.bbox_head.set_train_cfg(train_cfg['assigner'])
self.occupancy = train_cfg['assigner'].get('occupancy', False)
else:
self.bbox_head.set_train_cfg(test_cfg['assigner'])
if not (self.bbox_head.mode in ['bev', 'rv']):
if 'FHD' in self.backbone.name:
ds_factor = 16
else:
ds_factor = 8
if grid_size[0] % ds_factor:
num_input_features = (grid_size[0] // ds_factor + 1) * 128
else:
num_input_features = (grid_size[0] // ds_factor) * 128
# cfg_rv_neck = dict(
# type=neck['type'],
# layer_nums=[5, 5],
# ds_layer_strides = [1, 2],
# ds_num_filters=[64, 128],
# us_layer_strides=[1, 2],
# us_num_filters=[128, 64],
# num_input_features=(grid_size[0]//8+1)*128,
# norm_cfg=neck['norm_cfg'],
# logger=logging.getLogger("RVRPN")
# )
# import pdb; pdb.set_trace()
cfg_rv_neck = dict(
type=neck['type'],
layer_nums=[i for i in neck['layer_nums']],
ds_layer_strides=[i for i in neck['ds_layer_strides']],
ds_num_filters=[i // 2 for i in neck['ds_num_filters']],
us_layer_strides=[i for i in neck['us_layer_strides']],
us_num_filters=[i // 2 for i in neck['us_num_filters']],
num_input_features=num_input_features,
norm_cfg=neck['norm_cfg'],
logger=logging.getLogger("RVRPN")
)
self.rv_neck = builder.build_neck(cfg_rv_neck)
if backbone.mode in ['rv2bev', 'cycle']:
if grid_size[0] % 8:
self.rv2bev = nn.Conv2d(
grid_size[-1] // 8, grid_size[0] // 8 + 1, kernel_size=1)
#self.rv2bev = nn.MaxPool2d(grid_size[-1] // 8)
#self.rv2bev = nn.AvgPool2d(grid_size[-1] // 8)
else:
self.rv2bev = nn.Conv2d(grid_size[-1] // 8, grid_size[0] // 8, kernel_size=1)
#self.fuse_layer = nn.Conv2d(grid_size[-1] // 8, grid_size[0] // 8 + 1, kernel_size=1)
if backbone.mode in ['bev2rv', 'cycle']:
if grid_size[0] % 8:
self.bev2rv = nn.Conv2d(grid_size[0] // 8 + 1,
grid_size[-1] // 8, kernel_size=1)
else:
self.bev2rv = nn.Conv2d(grid_size[0] // 8, grid_size[-1] // 8, kernel_size=1)
# self.rv_layers = nn.Sequential(
# nn.Conv2d(8192, 8192//4, kernel_size=3, padding=1),
# nn.BatchNorm2d(8192//4),
# nn.ReLU(),
# nn.Conv2d(8192//4, 192, kernel_size=3, padding=1),
# nn.BatchNorm2d(192),
# nn.ReLU(),
# )
def extract_feat(self, data, return_loss):
input_features = self.reader(data["features"], data["num_voxels"])
x = self.backbone(
input_features, data["coors"], data["batch_size"], data["input_shape"]
)
if (self.bbox_head.mode in ['bev', 'rv']) and self.with_neck:
return self.neck(x)
else:
x_bev, x_rv = x
# N, C, D, H, W = x.shape
# x_bev = self.neck(x.view(N, C * D, H, W))
# x = x.permute(0,1,4,3,2)
# x_rv = self.rv_layers(x.contiguous().view(N, C * W, H, D))
x_bev = self.neck(x_bev)
if return_loss or self.backbone.mode in ['rv2bev', 'cycle']:
x_rv = self.rv_neck(x_rv)
return (x_bev, x_rv)
return x_bev
def forward(self, example, return_loss=True, **kwargs):
voxels = example["voxels"]
coordinates = example["coordinates"]
num_points_in_voxel = example["num_points"]
num_voxels = example["num_voxels"]
batch_size = len(num_voxels)
data = dict(
features=voxels,
num_voxels=num_points_in_voxel,
coors=coordinates,
batch_size=batch_size,
input_shape=example["shape"][0],
)
x = self.extract_feat(data, return_loss)
grid_size = example['shape'][0]
preds = self.bbox_head(x, return_loss)
del data['features']
del example["voxels"]
# torch.cuda.empty_cache()
if self.bbox_head.mode == 'rv2bev':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
else:
# for k in range(batch_size):
# shabi = torch.sigmoid(preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('bev_map3', example['metadata'][k]['token']) + '_%i' % i, shabi)
preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))\
.permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
# if using max/avg pooling
# preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds']).repeat(1,1,preds[i]['cls_preds'].shape[2],1) \
# + 0.8 * preds[i]['cls_preds']
# preds[i]['cls_preds'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3).contiguous()
# preds[i]['cls_preds'] = 0.2 * self.fuse_layer(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
if self.bbox_head.mode == 'bev2rv':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
if self.bbox_head.mode == 'cycle':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
preds[i]['bev2rv_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
else:
# pass
preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))\
.permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
#preds[i]['cls_preds'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))
# preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3)
# preds[i]['bev2rv_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3)
# for k in range(batch_size):
# shabi = torch.sigmoid(preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('bev_map',example['metadata'][k]['token'])+'_%i'%i, shabi)
#
# shabi = torch.sigmoid(preds[i]['combine_score'][k]).cpu().numpy()
# np.save(os.path.join('rv_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
#
# shabi = torch.sigmoid(0.2 * preds[i]['combine_score'][k] + 0.8 * preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('cycle_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
if return_loss:
if self.occupancy:
occupancy = spconv.SparseConvTensor(
torch.ones((len(coordinates), 1), device=coordinates.device,
dtype=x.dtype), coordinates.int(),
grid_size[::-1], batch_size).dense().squeeze(1)
occupancy = nn.AdaptiveMaxPool2d(x.shape[-2:])(occupancy).detach()
occupancy, _ = torch.max(occupancy, dim=1)
occupancy = occupancy.bool()
else:
occupancy = None
return self.bbox_head.loss(example, preds, occupancy=None)
else:
# self.bbox_head.loss(example, preds, occupancy=None)
# print(self.bbox_head.ohs_loss[0].shabi_box[0])
# print(self.bbox_head.ohs_loss[0].shabi_loc[0])
# # for k in range(batch_size):
# # for i in range(len(self.bbox_head.ohs_loss)):
# # shabi = ((self.bbox_head.ohs_loss[i].shabi_score.view(preds[i]['cls_preds'].shape))[k]).cpu().numpy()
# # np.save(os.path.join('gt_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
# for i in range(len(self.bbox_head.ohs_loss)):
# preds[i]['cls_preds'] = self.bbox_head.ohs_loss[i].shabi_score.view(preds[i]['cls_preds'].shape)
# preds[i]['box_preds'][self.bbox_head.ohs_loss[i].shabi_loc[:, 0], self.bbox_head.ohs_loss[i].shabi_loc[:,1], self.bbox_head.ohs_loss[i].shabi_loc[:,2], -2:]=self.bbox_head.ohs_loss[i].shabi_box[:,-2:]
# #assert (preds[i]['box_preds'][self.bbox_head.ohs_loss[i].shabi_loc[:, 0], self.bbox_head.ohs_loss[i].shabi_loc[:,1], self.bbox_head.ohs_loss[i].shabi_loc[:,2],3:6]>0).all() , "size should be larger than 0"
# gt_len = 0
# for i in example['annos'][0]['gt_boxes']:
# gt_len += len(i)
# assert (len(shabi[0]['box3d_lidar']) <= gt_len)
return self.bbox_head.predict(example, preds, self.test_cfg)
@DETECTORS.register_module
class VoxelNetCA(VoxelNet):
def __init__(
self,
reader,
backbone,
neck,
bbox_head,
train_cfg=None,
test_cfg=None,
pretrained=None,
save_attention=False,
rv2bev_save_attention_path=None,
bev2rv_save_attention_path=None
):
if bbox_head.mode in ['rv2bev', 'rv_bev', 'bev2rv', 'cycle']:
grid_size = reader.pop('grid_size')
super(VoxelNet, self).__init__(
reader, backbone, neck, bbox_head, train_cfg, test_cfg, pretrained
)
self.save_attention = save_attention
self.rv2bev_save_attention_path = rv2bev_save_attention_path
self.bev2rv_save_attention_path = bev2rv_save_attention_path
self.double_flip = False
if train_cfg:
self.bbox_head.set_train_cfg(train_cfg['assigner'])
self.occupancy = train_cfg['assigner'].get('occupancy', False)
else:
self.bbox_head.set_train_cfg(test_cfg['assigner'])
self.double_flip = test_cfg.get('double_flip', False)
if not (self.bbox_head.mode in ['bev', 'rv']):
if 'FHD' in self.backbone.name:
ds_factor = 16
else:
ds_factor = 8
if grid_size[0] % ds_factor:
num_input_features = (grid_size[0] // ds_factor + 1) * 128
else:
num_input_features = (grid_size[0] // ds_factor) * 128
# cfg_bev_neck = dict(
# type="RPNT",
# layer_nums=[5, 5],
# ds_layer_strides=[1, 2],
# ds_num_filters=[128, 256],
# us_layer_strides=[1, 2],
# us_num_filters=[256, 128],
# num_input_features=1792, # 0.016:1408, 0.0125:1792 ,0.01: 2304, 0.008: 2944 6144
# norm_cfg=None,
# logger=logging.getLogger("RPN"),
# )
# cfg_rv_neck = dict(
# type=cfg_bev_neck['type'],
# layer_nums=[i for i in cfg_bev_neck['layer_nums']],
# ds_layer_strides=[i for i in cfg_bev_neck['ds_layer_strides']],
# ds_num_filters=[i for i in cfg_bev_neck['ds_num_filters']],
# us_layer_strides=[i for i in cfg_bev_neck['us_layer_strides']],
# us_num_filters=[i for i in cfg_bev_neck['us_num_filters']],
# num_input_features=num_input_features,
# norm_cfg=cfg_bev_neck['norm_cfg'],
# logger=logging.getLogger("RVRPN")
# )
# self.bev_unet = builder.build_neck(cfg_bev_neck)
# self.rv_unet = builder.build_neck(cfg_rv_neck)
# Cross Attention Module Initialization
# self.rv2bev_ca_layer = builder.build_attention(atten.rv2bev_atten)
# self.bev2rv_ca_layer = builder.build_attention(atten.bev2rv_atten)
if backbone.mode in ['rv2bev', 'cycle']:
if grid_size[0] % 8:
self.rv2bev = nn.Conv2d(
grid_size[-1] // 8, grid_size[0] // 8 + 1, kernel_size=1)
#self.rv2bev = nn.MaxPool2d(grid_size[-1] // 8)
#self.rv2bev = nn.AvgPool2d(grid_size[-1] // 8)
else:
self.rv2bev = nn.Conv2d(grid_size[-1] // 8, grid_size[0] // 8, kernel_size=1)
#self.fuse_layer = nn.Conv2d(grid_size[-1] // 8, grid_size[0] // 8 + 1, kernel_size=1)
if backbone.mode in ['bev2rv', 'cycle']:
if grid_size[0] % 8:
self.bev2rv = nn.Conv2d(grid_size[0] // 8 + 1,
grid_size[-1] // 8, kernel_size=1)
else:
self.bev2rv = nn.Conv2d(grid_size[0] // 8, grid_size[-1] // 8, kernel_size=1)
# self.rv_layers = nn.Sequential(
# nn.Conv2d(8192, 8192//4, kernel_size=3, padding=1),
# nn.BatchNorm2d(8192//4),
# nn.ReLU(),
# nn.Conv2d(8192//4, 192, kernel_size=3, padding=1),
# nn.BatchNorm2d(192),
# nn.ReLU(),
# )
def extract_feat(self, data, return_loss):
input_features = self.reader(data["features"], data["num_voxels"])
x = self.backbone(
input_features, data["coors"], data["batch_size"], data["input_shape"]
)
if (self.bbox_head.mode in ['bev', 'rv']) and self.with_neck:
return self.neck(x)
else:
x_bev, x_rv = x
#print(x_bev.shape, x_rv.shape)
# x_bev = self.bev_unet(x_bev)
# x_rv = self.rv_unet(x_rv)
# N, C, D, H, W = x.shape
# x_bev = self.neck(x.view(N, C * D, H, W))
# x = x.permute(0,1,4,3,2)
# x_rv = self.rv_layers(x.contiguous().view(N, C * W, H, D))
x_bev, x_rv, x_rv_atten_map, x_bev_atten_map = self.neck((x_bev, x_rv))
if return_loss or self.backbone.mode in ['rv2bev', 'cycle']:
# x_rv = self.rv_neck(x_rv)
# print(x_bev.shape, x_rv.shape)
# x_bev_atten, x_bev_atten_map = self.rv2bev_ca_layer[0]((x_bev, x_rv))
# x_bev_atten = self.rv2bev_ca_layer[1](x_bev_atten)
# x_rv_atten, _ = self.bev2rv_ca_layer[0]((x_rv, x_bev))
# x_rv_atten = self.bev2rv_ca_layer[1](x_rv_atten)
return (x_bev, x_rv), x_rv_atten_map, x_bev_atten_map
return x_bev, x_bev
def forward(self, example, return_loss=True, **kwargs):
voxels = example["voxels"]
coordinates = example["coordinates"]
num_points_in_voxel = example["num_points"]
num_voxels = example["num_voxels"]
batch_size = len(num_voxels)
data = dict(
features=voxels,
num_voxels=num_points_in_voxel,
coors=coordinates,
batch_size=batch_size,
input_shape=example["shape"][0],
)
x, x_rv_atten_map, x_bev_atten_map = self.extract_feat(data, return_loss)
if not return_loss:
if self.save_attention:
mkdir(self.rv2bev_save_attention_path)
mkdir(self.bev2rv_save_attention_path)
atten_map_rv = x_rv_atten_map.cpu().detach().numpy()
atten_map_bev = x_bev_atten_map.cpu().detach().numpy()
for index, metadata in enumerate(example['metadata']):
token = metadata['token']
atten_rv = atten_map_rv[index]
np.save(os.path.join(self.rv2bev_save_attention_path, '%s.npy' % token), atten_rv)
atten_bev = atten_map_bev[index]
np.save(os.path.join(self.bev2rv_save_attention_path, '%s.npy' % token), atten_bev)
grid_size = example['shape'][0]
preds = self.bbox_head(x, return_loss)
del data['features']
del example["voxels"]
# torch.cuda.empty_cache()
if self.bbox_head.mode == 'rv2bev':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
else:
# for k in range(batch_size):
# shabi = torch.sigmoid(preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('bev_map3', example['metadata'][k]['token']) + '_%i' % i, shabi)
preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))\
.permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
# if using max/avg pooling
# preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds']).repeat(1,1,preds[i]['cls_preds'].shape[2],1) \
# + 0.8 * preds[i]['cls_preds']
# preds[i]['cls_preds'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3).contiguous()
# preds[i]['cls_preds'] = 0.2 * self.fuse_layer(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
if self.bbox_head.mode == 'bev2rv':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
if self.bbox_head.mode == 'cycle':
for i in range(len(preds)):
if return_loss:
preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
preds[i]['bev2rv_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
.permute(0, 2, 1, 3)
else:
# pass
preds[i]['cls_preds'] = 0.2 * self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))\
.permute(0, 2, 1, 3) + 0.8 * preds[i]['cls_preds']
#preds[i]['cls_preds'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3))
# preds[i]['combine_score'] = self.rv2bev(preds[i]['rv_cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3)
# preds[i]['bev2rv_score'] = self.bev2rv(preds[i]['cls_preds'].permute(0, 2, 1, 3)) \
# .permute(0, 2, 1, 3)
# for k in range(batch_size):
# shabi = torch.sigmoid(preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('bev_map',example['metadata'][k]['token'])+'_%i'%i, shabi)
#
# shabi = torch.sigmoid(preds[i]['combine_score'][k]).cpu().numpy()
# np.save(os.path.join('rv_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
#
# shabi = torch.sigmoid(0.2 * preds[i]['combine_score'][k] + 0.8 * preds[i]['cls_preds'][k]).cpu().numpy()
# np.save(os.path.join('cycle_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
if return_loss:
if self.occupancy:
occupancy = spconv.SparseConvTensor(
torch.ones((len(coordinates), 1), device=coordinates.device,
dtype=x.dtype), coordinates.int(),
grid_size[::-1], batch_size).dense().squeeze(1)
occupancy = nn.AdaptiveMaxPool2d(x.shape[-2:])(occupancy).detach()
occupancy, _ = torch.max(occupancy, dim=1)
occupancy = occupancy.bool()
else:
occupancy = None
return self.bbox_head.loss(example, preds, occupancy)
else:
# self.bbox_head.loss(example, preds, occupancy=None)
# print(self.bbox_head.ohs_loss[0].shabi_box[0])
# print(self.bbox_head.ohs_loss[0].shabi_loc[0])
# # for k in range(batch_size):
# # for i in range(len(self.bbox_head.ohs_loss)):
# # shabi = ((self.bbox_head.ohs_loss[i].shabi_score.view(preds[i]['cls_preds'].shape))[k]).cpu().numpy()
# # np.save(os.path.join('gt_map', example['metadata'][k]['token']) + '_%i'%i, shabi)
# for i in range(len(self.bbox_head.ohs_loss)):
# preds[i]['cls_preds'] = self.bbox_head.ohs_loss[i].shabi_score.view(preds[i]['cls_preds'].shape)
# preds[i]['box_preds'][self.bbox_head.ohs_loss[i].shabi_loc[:, 0], self.bbox_head.ohs_loss[i].shabi_loc[:,1], self.bbox_head.ohs_loss[i].shabi_loc[:,2], -2:]=self.bbox_head.ohs_loss[i].shabi_box[:,-2:]
# #assert (preds[i]['box_preds'][self.bbox_head.ohs_loss[i].shabi_loc[:, 0], self.bbox_head.ohs_loss[i].shabi_loc[:,1], self.bbox_head.ohs_loss[i].shabi_loc[:,2],3:6]>0).all() , "size should be larger than 0"
# gt_len = 0
# for i in example['annos'][0]['gt_boxes']:
# gt_len += len(i)
# assert (len(shabi[0]['box3d_lidar']) <= gt_len)
return self.bbox_head.predict(example, preds, self.test_cfg)
| 48.058594 | 224 | 0.521783 | 3,202 | 24,606 | 3.78045 | 0.066209 | 0.038662 | 0.050558 | 0.034696 | 0.909624 | 0.882528 | 0.867988 | 0.851301 | 0.831062 | 0.80727 | 0 | 0.037495 | 0.329066 | 24,606 | 511 | 225 | 48.152642 | 0.695742 | 0.327075 | 0 | 0.748408 | 0 | 0 | 0.059868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031847 | false | 0.003185 | 0.038217 | 0 | 0.121019 | 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 |
c244f05d3fe4b01971c42b1fdc595d910098abad | 12,593 | py | Python | src/LDPC/pyldpc/decodingfunctions.py | Horacehxw/Multi-label | 76095c72327e9aa379eaa653dbbb775ca638e6db | [
"MIT"
] | 1 | 2019-04-24T15:24:48.000Z | 2019-04-24T15:24:48.000Z | src/LDPC/pyldpc/decodingfunctions.py | Horacehxw/Multi-label | 76095c72327e9aa379eaa653dbbb775ca638e6db | [
"MIT"
] | null | null | null | src/LDPC/pyldpc/decodingfunctions.py | Horacehxw/Multi-label | 76095c72327e9aa379eaa653dbbb775ca638e6db | [
"MIT"
] | null | null | null | import numpy as np
from .ldpcalgebra import*
import scipy
__all__ = ['BinaryProduct', 'InCode', 'BinaryRank','Decoding_logBP','Decoding_BP','DecodedMessage']
def Decoding_BP(H,y,SNR,max_iter=1):
""" Decoding function using Belief Propagation algorithm.
IMPORTANT: H can be scipy.sparse.csr_matrix object to speed up calculations if n > 1000 highly recommanded.
-----------------------------------
Parameters:
H: 2D-array (OR scipy.sparse.csr_matrix object) Parity check matrix, shape = (m,n)
y: n-vector recieved after transmission in the channel. (In general, returned
by Coding Function)
Signal-Noise Ratio: SNR = 10log(1/variance) in decibels of the AWGN used in coding.
max_iter: (default = 1) max iterations of the main loop. Increase if decoding is not error-free.
"""
m,n=H.shape
if not len(y)==n:
raise ValueError('Size of y must be equal to number of parity matrix\'s columns n')
if m>=n:
raise ValueError('H must be of shape (m,n) with m < n')
sigma = 10**(-SNR/20)
p0 = np.zeros(shape=n)
p0 = f1(y,sigma)/(f1(y,sigma) + fM1(y,sigma))
p1 = np.zeros(shape=n)
p1 = fM1(y,sigma)/(f1(y,sigma) + fM1(y,sigma))
#### ETAPE 0 : Initialization
q0 = np.zeros(shape=(m,n))
q0[:] = p0
q1 = np.zeros(shape=(m,n))
q1[:] = p1
r0 = np.zeros(shape=(m,n))
r1 = np.zeros(shape=(m,n))
count=0
prod = np.prod
Bits,Nodes = BitsAndNodes(H)
while(True):
count+=1
#### ETAPE 1 : Horizontale
deltaq = q0 - q1
deltar = r0 - r1
for i in range(m):
Ni=Bits[i]
for j in Ni:
Nij = Ni.copy()
if j in Nij: Nij.remove(j)
deltar[i,j] = prod(deltaq[i,Nij])
r0 = 0.5*(1+deltar)
r1 = 0.5*(1-deltar)
#### ETAPE 2 : Verticale
for j in range(n):
Mj = Nodes[j]
for i in Mj:
Mji = Mj.copy()
if i in Mji: Mji.remove(i)
q0[i,j] = p0[j]*prod(r0[Mji,j])
q1[i,j] = p1[j]*prod(r1[Mji,j])
if q0[i,j] + q1[i,j]==0:
q0[i,j]=0.5
q1[i,j]=0.5
else:
alpha=1/(q0[i,j]+q1[i,j]) #Constante de normalisation alpha[i,j]
q0[i,j]*= alpha
q1[i,j]*= alpha # Maintenant q0[i,j] + q1[i,j] = 1
q0_post = np.zeros(n)
q1_post = np.zeros(n)
for j in range(n):
Mj=Nodes[j]
q0_post[j] = p0[j]*prod(r0[Mj,j])
q1_post[j] = p1[j]*prod(r1[Mj,j])
if q0_post[j] + q1_post[j]==0:
q0_post[j]=0.5
q1_post[j]=0.5
alpha = 1/(q0_post[j]+q1_post[j])
q0_post[j]*= alpha
q1_post[j]*= alpha
x = np.array(q1_post > q0_post).astype(int)
if InCode(H,x) or count >= max_iter:
break
return x
def Decoding_logBP(H,y,SNR,max_iter=1):
""" Decoding function using Belief Propagation algorithm (logarithmic version)
IMPORTANT: if H is large (n>1000), H should be scipy.sparse.csr_matrix object to speed up calculations
(highly recommanded. )
-----------------------------------
Parameters:
H: 2D-array (OR scipy.sparse.csr_matrix object) Parity check matrix, shape = (m,n)
y: n-vector recieved after transmission in the channel. (In general, returned
by Coding Function)
Signal-Noise Ratio: SNR = 10log(1/variance) in decibels of the AWGN used in coding.
max_iter: (default = 1) max iterations of the main loop. Increase if decoding is not error-free.
"""
m,n=H.shape
if not len(y)==n:
raise ValueError('La taille de y doit correspondre au nombre de colonnes de H')
if m>=n:
raise ValueError('H doit avoir plus de colonnes que de lignes')
var = 10**(-SNR/10)
### ETAPE 0: initialisation
Lc = 2*y/var
Lq=np.zeros(shape=(m,n))
Lr = np.zeros(shape=(m,n))
count=0
prod=np.prod
tanh = np.tanh
log = np.log
Bits,Nodes = BitsAndNodes(H)
while(True):
count+=1
#### ETAPE 1 : Horizontale
for i in range(m):
Ni = Bits[i]
for j in Ni:
Nij = Ni.copy()
if j in Nij: Nij.remove(j)
if count==1:
X = prod(tanh(0.5*Lc[Nij]))
else:
X = prod(tanh(0.5*Lq[i,Nij]))
num = 1 + X
denom = 1 - X
if num == 0:
Lr[i,j] = -1
elif denom == 0:
Lr[i,j] = 1
else:
Lr[i,j] = log(num/denom)
#### ETAPE 2 : Verticale
for j in range(n):
Mj = Nodes[j]
for i in Mj:
Mji = Mj.copy()
if i in Mji: Mji.remove(i)
Lq[i,j] = Lc[j]+sum(Lr[Mji,j])
#### LLR a posteriori:
L_posteriori = np.zeros(n)
for j in range(n):
Mj = Nodes[j]
L_posteriori[j] = Lc[j] + sum(Lr[Mj,j])
x = np.array(L_posteriori <= 0).astype(int)
product = InCode(H,x)
if product or count >= max_iter:
break
return x
def Decoding_BP_ext(H,BitsNodesTuple,y,SNR,max_iter=1):
""" Decoding function using Belief Propagation algorithm.
IMPORTANT: H can be scipy.sparse.csr_matrix object to speed up calculations if n > 1000 highly recommanded.
-----------------------------------
Parameters:
H: 2D-array (OR scipy.sparse.csr_matrix object) Parity check matrix, shape = (m,n)
BitsNodesTuple: Tuple returned by BitsAndNodes function.
y: n-vector recieved after transmission in the channel. (In general, returned
by Coding Function)
Signal-Noise Ratio: SNR = 10log(1/variance) in decibels of the AWGN used in coding.
max_iter: (default = 1) max iterations of the main loop. Increase if decoding is not error-free.
"""
m,n=H.shape
if not len(y)==n:
raise ValueError('Size of y must be equal to number of parity matrix\'s columns n')
if m>=n:
raise ValueError('H must be of shape (m,n) with m < n')
sigma = 10**(-SNR/20)
p0 = np.zeros(shape=n)
p0 = f1(y,sigma)/(f1(y,sigma) + fM1(y,sigma))
p1 = np.zeros(shape=n)
p1 = fM1(y,sigma)/(f1(y,sigma) + fM1(y,sigma))
#### ETAPE 0 : Initialization
q0 = np.zeros(shape=(m,n))
q0[:] = p0
q1 = np.zeros(shape=(m,n))
q1[:] = p1
r0 = np.zeros(shape=(m,n))
r1 = np.zeros(shape=(m,n))
count=0
prod = np.prod
Bits = BitsNodesTuple[0]
Nodes = BitsNodesTuple[1]
while(True):
count+=1
#### ETAPE 1 : Horizontale
deltaq = q0 - q1
deltar = r0 - r1
for i in range(m):
Ni=Bits[i]
for j in Ni:
Nij = Ni.copy()
if j in Nij: Nij.remove(j)
deltar[i,j] = prod(deltaq[i,Nij])
r0 = 0.5*(1+deltar)
r1 = 0.5*(1-deltar)
#### ETAPE 2 : Verticale
for j in range(n):
Mj = Nodes[j]
for i in Mj:
Mji = Mj.copy()
if i in Mji: Mji.remove(i)
q0[i,j] = p0[j]*prod(r0[Mji,j])
q1[i,j] = p1[j]*prod(r1[Mji,j])
if q0[i,j] + q1[i,j]==0:
q0[i,j]=0.5
q1[i,j]=0.5
else:
alpha=1/(q0[i,j]+q1[i,j]) #Constante de normalisation alpha[i,j]
q0[i,j]*= alpha
q1[i,j]*= alpha # Maintenant q0[i,j] + q1[i,j] = 1
q0_post = np.zeros(n)
q1_post = np.zeros(n)
for j in range(n):
Mj=Nodes[j]
q0_post[j] = p0[j]*prod(r0[Mj,j])
q1_post[j] = p1[j]*prod(r1[Mj,j])
if q0_post[j] + q1_post[j]==0:
q0_post[j]=0.5
q1_post[j]=0.5
alpha = 1/(q0_post[j]+q1_post[j])
q0_post[j]*= alpha
q1_post[j]*= alpha
x = np.array(q1_post > q0_post).astype(int)
if InCode(H,x) or count >= max_iter:
break
return x
def Decoding_logBP_ext(H,BitsNodesTuple,y,SNR,max_iter=1):
""" Decoding function using Belief Propagation algorithm (logarithmic version)
IMPORTANT: if H is large (n>1000), H should be scipy.sparse.csr_matrix object to speed up calculations
(highly recommanded. )
-----------------------------------
Parameters:
H: 2D-array (OR scipy.sparse.csr_matrix object) Parity check matrix, shape = (m,n)
BitsNodesTuple: Tuple returned by BitsAndNodes function.
y: n-vector recieved after transmission in the channel. (In general, returned
by Coding Function)
Signal-Noise Ratio: SNR = 10log(1/variance) in decibels of the AWGN used in coding.
max_iter: (default = 1) max iterations of the main loop. Increase if decoding is not error-free.
"""
m,n=H.shape
if not len(y)==n:
raise ValueError('La taille de y doit correspondre au nombre de colonnes de H')
if m>=n:
raise ValueError('H doit avoir plus de colonnes que de lignes')
var = 10**(-SNR/10)
### ETAPE 0: initialisation
Lc = 2*y/var
Lq=np.zeros(shape=(m,n))
Lr = np.zeros(shape=(m,n))
count=0
prod=np.prod
tanh = np.tanh
log = np.log
Bits = BitsNodesTuple[0]
Nodes = BitsNodesTuple[1]
while(True):
count+=1
#### ETAPE 1 : Horizontale
for i in range(m):
Ni = Bits[i]
for j in Ni:
Nij = Ni.copy()
if j in Nij: Nij.remove(j)
if count==1:
X = prod(tanh(0.5*Lc[Nij]))
else:
X = prod(tanh(0.5*Lq[i,Nij]))
num = 1 + X
denom = 1 - X
if num == 0:
Lr[i,j] = -1
elif denom == 0:
Lr[i,j] = 1
else:
Lr[i,j] = log(num/denom)
#### ETAPE 2 : Verticale
for j in range(n):
Mj = Nodes[j]
for i in Mj:
Mji = Mj.copy()
if i in Mji: Mji.remove(i)
Lq[i,j] = Lc[j]+sum(Lr[Mji,j])
#### LLR a posteriori:
L_posteriori = np.zeros(n)
for j in range(n):
Mj = Nodes[j]
L_posteriori[j] = Lc[j] + sum(Lr[Mj,j])
x = np.array(L_posteriori <= 0).astype(int)
product = InCode(H,x)
if product or count >= max_iter:
break
return x
def DecodedMessage(tG,x):
"""
Let G be a coding matrix. tG its transposed matrix. x a n-vector received after decoding.
DecodedMessage Solves the equation on k-bits message v: x = v.G => G'v'= x' by applying GaussElimination on G'.
-------------------------------------
Parameters:
tG: Transposed Coding Matrix. Must have more rows than columns to solve the linear system. Must be full rank.
x: n-array. Must be in the Code (in Ker(H)).
"""
n,k = tG.shape
if n < k:
raise ValueError('Coding matrix G must have more columns than rows to solve the linear system on v\': G\'v\' = x\'')
rtG, rx = GaussElimination(tG,x)
rank = sum([a.any() for a in rtG])
if rank!= k:
raise ValueError('Coding matrix G must have full rank = k to solve G\'v\' = x\'')
message=np.zeros(k).astype(int)
message[k-1]=rx[k-1]
for i in reversed(range(k-1)):
message[i]=abs(rx[i]-BinaryProduct(rtG[i,list(range(i+1,k))],message[list(range(i+1,k))]))
return message
| 25.186 | 124 | 0.483046 | 1,759 | 12,593 | 3.420694 | 0.116543 | 0.011966 | 0.020941 | 0.025927 | 0.897457 | 0.886156 | 0.886156 | 0.886156 | 0.873857 | 0.872528 | 0 | 0.034114 | 0.383149 | 12,593 | 499 | 125 | 25.236473 | 0.740474 | 0.271262 | 0 | 0.912863 | 0 | 0.008299 | 0.065965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020747 | false | 0 | 0.012448 | 0 | 0.053942 | 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 |
dfbde58ec0f3393370a7d08988e17ebf6cf5bb07 | 476 | py | Python | temboo/core/Library/KhanAcademy/Topics/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/KhanAcademy/Topics/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/KhanAcademy/Topics/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.KhanAcademy.Topics.GetTopicExercises import GetTopicExercises, GetTopicExercisesInputSet, GetTopicExercisesResultSet, GetTopicExercisesChoreographyExecution
from temboo.Library.KhanAcademy.Topics.GetTopicVideos import GetTopicVideos, GetTopicVideosInputSet, GetTopicVideosResultSet, GetTopicVideosChoreographyExecution
from temboo.Library.KhanAcademy.Topics.TopicData import TopicData, TopicDataInputSet, TopicDataResultSet, TopicDataChoreographyExecution
| 119 | 176 | 0.911765 | 33 | 476 | 13.151515 | 0.545455 | 0.069124 | 0.117512 | 0.193548 | 0.235023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044118 | 476 | 3 | 177 | 158.666667 | 0.953846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5f3981848b95894c1e0468c878d67eb70389fb49 | 159 | py | Python | tests/test_romt_crate.py | hehaoqian/romt | 02d5d3f10f22883e277a319e19c199e349b1c8e5 | [
"MIT"
] | 29 | 2020-05-09T17:06:06.000Z | 2022-03-30T16:18:01.000Z | tests/test_romt_crate.py | hehaoqian/romt | 02d5d3f10f22883e277a319e19c199e349b1c8e5 | [
"MIT"
] | 12 | 2020-05-23T13:10:51.000Z | 2022-03-27T21:48:18.000Z | tests/test_romt_crate.py | hehaoqian/romt | 02d5d3f10f22883e277a319e19c199e349b1c8e5 | [
"MIT"
] | 9 | 2020-10-15T17:07:13.000Z | 2022-03-13T18:47:25.000Z | #!/usr/bin/env python3
# coding=utf-8
import romt.crate
def test_crate_prefix_from_name() -> None:
assert romt.crate.crate_prefix_from_name("a") == "1"
| 17.666667 | 56 | 0.716981 | 26 | 159 | 4.115385 | 0.730769 | 0.168224 | 0.280374 | 0.35514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 0.132075 | 159 | 8 | 57 | 19.875 | 0.753623 | 0.213836 | 0 | 0 | 0 | 0 | 0.01626 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
a069900496db2b0d18d89ade9bfb8dae11d12cad | 326 | py | Python | tools/world_tools.py | ttw4-mud/server | bb49b89669a2b54e3ae449c382a20d75401b17ee | [
"MIT"
] | null | null | null | tools/world_tools.py | ttw4-mud/server | bb49b89669a2b54e3ae449c382a20d75401b17ee | [
"MIT"
] | 6 | 2020-04-29T05:52:35.000Z | 2021-09-22T19:00:46.000Z | tools/world_tools.py | Sara-DLC/mud-server | 11d1ea5dc8aab69ac64a6e0572f918a58a076894 | [
"MIT"
] | null | null | null | ############################################################
from .delete_world import delete_world
from .create_simple_world import create_simple_world
from .create_naive_grid_world import create_naive_grid_world
from .create_grid_world import create_grid_world
############################################################
| 36.222222 | 60 | 0.558282 | 32 | 326 | 5.1875 | 0.25 | 0.26506 | 0.271084 | 0.240964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06135 | 326 | 8 | 61 | 40.75 | 0.542484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a081a3b56414d1ff0e045446bc9d902dbb25c166 | 3,437 | py | Python | knx_stack/tests/test_doctests.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 2 | 2021-07-28T07:42:28.000Z | 2022-01-25T18:56:05.000Z | knx_stack/tests/test_doctests.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | 6 | 2021-07-25T21:36:01.000Z | 2022-02-20T21:11:31.000Z | knx_stack/tests/test_doctests.py | majamassarini/knx-stack | 11a9baac6b7600649b5fbca43c93b200b23676b4 | [
"MIT"
] | null | null | null | import unittest
import doctest
import knx_stack
tests = list()
tests.append(doctest.DocTestSuite(knx_stack.datapointtypes))
tests.append(doctest.DocTestSuite(knx_stack.layer.link.ldata))
tests.append(doctest.DocTestSuite(knx_stack.layer.network.address_table))
tests.append(doctest.DocTestSuite(knx_stack.layer.transport.association_table))
tests.append(doctest.DocTestSuite(knx_stack.layer.application.groupobject_table))
tests.append(doctest.DocTestSuite(knx_stack.layer.application.a_property_value))
tests.append(doctest.DocTestSuite(knx_stack.msg))
tests.append(doctest.DocTestSuite(knx_stack.state))
tests.append(doctest.DocTestSuite(knx_stack.address))
tests.append(
doctest.DocTestSuite(knx_stack.encode.layer.application.a_group_value_read.req)
)
tests.append(
doctest.DocTestSuite(knx_stack.encode.layer.application.a_group_value_write.req)
)
tests.append(
doctest.DocTestSuite(knx_stack.encode.layer.application.a_property_value_read.req)
)
tests.append(
doctest.DocTestSuite(knx_stack.encode.layer.application.a_property_value_write.req)
)
tests.append(doctest.DocTestSuite(knx_stack.encode.layer.transport.t_connect.req))
tests.append(
doctest.DocTestSuite(knx_stack.decode.usb_hid.report_header.report_identifier)
)
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.core.connect.req))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.core.disconnect.req))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.core.connectionstate.req))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.core.search.req))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.tunneling.req))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.tunneling.ack))
tests.append(doctest.DocTestSuite(knx_stack.encode.knxnet_ip.header))
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_group_value_read.ind)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_group_value_read.con)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_group_value_write.ind)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_group_value_write.con)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_property_value_read.ind)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_property_value_read.con)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_property_value_write.ind)
)
tests.append(
doctest.DocTestSuite(knx_stack.decode.layer.application.a_property_value_write.con)
)
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.core.search.res))
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.core.connect.res))
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.core.disconnect.res))
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.core.connectionstate.res))
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.tunneling.req))
tests.append(doctest.DocTestSuite(knx_stack.decode.knxnet_ip.tunneling.ack))
# tests.append(doctest.DocFileSuite('../docs/source/intro.rst', package=knx_stack))
def load_tests(loader, suite, ignore):
for test in tests:
suite.addTests(test)
return suite
suite = unittest.TestSuite()
[suite.addTests(test) for test in tests]
runner = unittest.TextTestRunner(verbosity=2)
runner.run(suite)
| 41.409639 | 87 | 0.830957 | 474 | 3,437 | 5.820675 | 0.149789 | 0.110185 | 0.241392 | 0.391446 | 0.828561 | 0.823487 | 0.768394 | 0.728525 | 0.689018 | 0.627401 | 0 | 0.000306 | 0.050044 | 3,437 | 82 | 88 | 41.914634 | 0.844717 | 0.023567 | 0 | 0.175676 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0 | 0.040541 | 0 | 0.067568 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a0aa6c126066c39d4ad08eeffefb872bd9fac2fd | 92 | py | Python | boltiot/__init__.py | oam-mit/bolt-api-python | f4a62db5bfa99816bbbba590aca4d2450514eb4b | [
"MIT"
] | 13 | 2017-08-09T06:51:37.000Z | 2022-01-26T14:00:58.000Z | boltiot/__init__.py | oam-mit/bolt-api-python | f4a62db5bfa99816bbbba590aca4d2450514eb4b | [
"MIT"
] | 5 | 2017-09-28T18:03:23.000Z | 2021-07-11T14:33:06.000Z | boltiot/__init__.py | oam-mit/bolt-api-python | f4a62db5bfa99816bbbba590aca4d2450514eb4b | [
"MIT"
] | 9 | 2017-08-09T06:53:59.000Z | 2020-10-01T02:29:34.000Z | from boltiot.bolt import Bolt
from boltiot.alert import Sms
from boltiot.alert import Email
| 23 | 31 | 0.836957 | 15 | 92 | 5.133333 | 0.466667 | 0.428571 | 0.415584 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 92 | 3 | 32 | 30.666667 | 0.9625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
265c6565defabdd8feb4cb67cc5a5f06ac736e0f | 66 | py | Python | turf/polygon_to_line/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 11 | 2020-08-26T11:04:55.000Z | 2022-01-26T14:53:10.000Z | turf/polygon_to_line/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 36 | 2020-04-09T16:49:05.000Z | 2020-06-01T14:39:37.000Z | turf/polygon_to_line/__init__.py | malroc/pyturf | c89b6ea7094bd5ca26cf589d9dcd15bd819d82e9 | [
"MIT"
] | 5 | 2020-07-30T23:37:35.000Z | 2021-08-24T08:10:28.000Z | from turf.polygon_to_line._polygon_to_line import polygon_to_line
| 33 | 65 | 0.909091 | 12 | 66 | 4.416667 | 0.5 | 0.509434 | 0.735849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 66 | 1 | 66 | 66 | 0.854839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
266378695439aeb0929c7848b03ba1272110936e | 176 | py | Python | algebra_utilities/objects/__init__.py | computational-group-the-golden-ticket/AlgebraUtilities | d5c7c2806b6bd394564ae4146a2c5164f4ebe882 | [
"MIT"
] | null | null | null | algebra_utilities/objects/__init__.py | computational-group-the-golden-ticket/AlgebraUtilities | d5c7c2806b6bd394564ae4146a2c5164f4ebe882 | [
"MIT"
] | null | null | null | algebra_utilities/objects/__init__.py | computational-group-the-golden-ticket/AlgebraUtilities | d5c7c2806b6bd394564ae4146a2c5164f4ebe882 | [
"MIT"
] | null | null | null | from algebra_utilities.objects.baseobjects import *
from algebra_utilities.objects.permutations import KCycle
from algebra_utilities.objects.permutations import Permutation
| 44 | 63 | 0.875 | 20 | 176 | 7.55 | 0.45 | 0.218543 | 0.397351 | 0.536424 | 0.596026 | 0.596026 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085227 | 176 | 3 | 64 | 58.666667 | 0.937888 | 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 |
2684a2fea025d466bca01b5f00cc3dfd88d887a6 | 9,152 | py | Python | jcatalog/models.py | ednilson/jcatalog | e36188e39fbf37c74e37445060e1bafa18a3e20b | [
"BSD-2-Clause"
] | null | null | null | jcatalog/models.py | ednilson/jcatalog | e36188e39fbf37c74e37445060e1bafa18a3e20b | [
"BSD-2-Clause"
] | null | null | null | jcatalog/models.py | ednilson/jcatalog | e36188e39fbf37c74e37445060e1bafa18a3e20b | [
"BSD-2-Clause"
] | null | null | null | # coding: utf-8
from mongoengine import *
import datetime
connect('journals-catalog')
class Scielo(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
extraction_date = DateTimeField()
issn_list = ListField()
date_of_the_first_document = DateTimeField()
date_of_the_last_document = DateTimeField()
scholarone = IntField(required=True, min_value=0, default=0)
ojs_scielo = IntField(required=True, min_value=0, default=0)
is_submissions = IntField(required=True, min_value=0, default=0)
is_scielo = IntField(required=True, min_value=1, default=1)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=0, default=0)
is_cwts = IntField(required=True, min_value=0, default=0)
is_doaj = IntField(required=True, min_value=0, default=0)
is_capes = IntField(required=True, min_value=0, default=0)
is_pubmed = IntField(required=True, min_value=0, default=0)
is_pmc = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Scielobk1(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
extraction_date = DateTimeField()
issn_list = ListField()
date_of_the_first_document = DateTimeField()
date_of_the_last_document = DateTimeField()
scholarone = IntField(required=True, min_value=0, default=0)
ojs_scielo = IntField(required=True, min_value=0, default=0)
is_submissions = IntField(required=True, min_value=0, default=0)
is_scielo = IntField(required=True, min_value=1, default=1)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=0, default=0)
is_cwts = IntField(required=True, min_value=0, default=0)
is_doaj = IntField(required=True, min_value=0, default=0)
is_capes = IntField(required=True, min_value=0, default=0)
is_pubmed = IntField(required=True, min_value=0, default=0)
is_pmc = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'pid',
'collection'
]
}
class Scimago(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=1, default=1)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
inscielo = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Scopus(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=1, default=1)
is_jcr = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
is_cwts = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country',
'sourcerecord_id',
'asjc_code_list',
'oecd'
]
}
class Jcr(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=1, default=1)
is_wos = IntField(required=True, min_value=0, default=0)
is_cwts = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Wos(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=1, default=1)
is_cwts = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Jcr_scielo(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=1, default=1)
is_wos = IntField(required=True, min_value=0, default=0)
is_cwts = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Oecd(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
# Indexes
meta = {
'indexes': [
'oecd_description',
'wos_description'
]
}
class Cwts(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_cwts = IntField(required=True, min_value=1, default=1)
is_scielo = IntField(required=True, min_value=0, default=0)
is_scimago = IntField(required=True, min_value=0, default=0)
is_scopus = IntField(required=True, min_value=0, default=0)
is_jcr = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Submissions(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
scholarone = IntField(required=True, min_value=0, default=0)
ojs_scielo = IntField(required=True, min_value=0, default=0)
ojs_outro = IntField(required=True, min_value=0, default=0)
outro = IntField(required=True, min_value=0, default=0)
class Doaj(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
class Doajapi(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
class Pubmedapi(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
class Noscielo(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
class Capes(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
# Indexes
meta = {
'indexes': [
'issn',
'title',
'area_avaliacao'
]
}
class Wosindexes(DynamicDocument):
creation_date = DateTimeField(default=datetime.datetime.now)
updated_at = DateTimeField()
issn_list = ListField()
is_scielo = IntField(required=True, min_value=0, default=0)
is_wos = IntField(required=True, min_value=0, default=0)
# Indexes
meta = {
'indexes': [
'issn_list',
'title_country'
]
}
class Ztests(DynamicDocument):
pass
class Scielodates(DynamicDocument):
# creation_date = DateTimeField(default=datetime.datetime.now)
# updated_at = DateTimeField()
issn_list = ListField()
# Indexes
meta = {
'indexes': [
'issn_list',
'issn_scielo',
'pid'
]
}
| 33.40146 | 69 | 0.651442 | 1,076 | 9,152 | 5.333643 | 0.067844 | 0.18958 | 0.236975 | 0.272521 | 0.939711 | 0.93518 | 0.93518 | 0.934483 | 0.934483 | 0.908172 | 0 | 0.019799 | 0.238418 | 9,152 | 273 | 70 | 33.52381 | 0.803587 | 0.021744 | 0 | 0.7 | 0 | 0 | 0.046053 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.004545 | 0.009091 | 0 | 0.695455 | 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 | 1 | 0 | 0 | 9 |
cd2420343a2aeaa3135b4abdc16094cda0125b17 | 10,351 | py | Python | variance-networks-tf/nets/utils.py | AlliedToasters/elko_den | 4e69f7f5c0dc7ffad54c7e190a2b75aba2eab7d2 | [
"Apache-2.0"
] | 38 | 2018-07-14T23:09:27.000Z | 2021-11-30T08:26:56.000Z | variance-networks-tf/nets/utils.py | AlliedToasters/elko_den | 4e69f7f5c0dc7ffad54c7e190a2b75aba2eab7d2 | [
"Apache-2.0"
] | 1 | 2019-06-19T07:42:58.000Z | 2019-06-19T07:42:58.000Z | variance-networks-tf/nets/utils.py | AlliedToasters/elko_den | 4e69f7f5c0dc7ffad54c7e190a2b75aba2eab7d2 | [
"Apache-2.0"
] | 7 | 2018-07-15T15:16:59.000Z | 2020-04-10T09:21:41.000Z | import tensorflow as tf
def build_graph(images, labels, loss_function, inference_function, learning_rate, global_step):
optimizer_net = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=0.95)
tf.summary.scalar('learning_rate', learning_rate)
with tf.variable_scope(tf.get_variable_scope()) as scope:
logits_train = inference_function(images, reuse=False, is_training=True, stohastic=True)
probs_train = tf.nn.softmax(logits_train)
train_loss = loss_function(logits_train, labels)
tf.get_variable_scope().reuse_variables()
logits_test_det = inference_function(images, reuse=True, is_training=False, stohastic=False)
probs_test_det = tf.nn.softmax(logits_test_det)
logits_test_stoh = inference_function(images, reuse=True, is_training=False, stohastic=True)
probs_test_stoh = tf.nn.softmax(logits_test_stoh)
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
with tf.control_dependencies(update_ops):
train_op = optimizer_net.minimize(train_loss, global_step=global_step)
return train_op, probs_train, probs_test_det, probs_test_stoh, train_loss
def build_graph_stoch(images, labels, loss_function, inference_function, learning_rate, global_step):
optimizer_net = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=0.95)
tf.summary.scalar('learning_rate', learning_rate)
with tf.variable_scope(tf.get_variable_scope()) as scope:
logits_stoch = inference_function(images, stochastic=True, reuse=False)
probs_stoch = tf.nn.softmax(logits_stoch)
tf.get_variable_scope().reuse_variables()
logits_det = inference_function(images, stochastic=False, reuse=True)
probs_det = tf.nn.softmax(logits_det)
train_loss = loss_function(logits_stoch, labels)
train_op = optimizer_net.minimize(train_loss, global_step=global_step)
return train_op, probs_det, probs_stoch
def average_gradients(tower_grads):
average_grads = []
for grad_and_vars in zip(*tower_grads):
grads = []
for g, _ in grad_and_vars:
# Add 0 dimension to the gradients to represent the tower.
expanded_g = tf.expand_dims(g, 0)
# Append on a 'tower' dimension which we will average over below.
grads.append(expanded_g)
# Average over the 'tower' dimension.
grad = tf.concat(grads, 0)
grad = tf.reduce_mean(grad, 0)
# Keep in mind that the Variables are redundant because they are shared
# across towers. So .. we will just return the first tower's pointer to
# the Variable.
v = grad_and_vars[0][1]
grad_and_var = (grad, v)
average_grads.append(grad_and_var)
return average_grads
def build_graph_multigpu(images_train, labels_train, images_test, labels_test, global_step, loss_function,
accuracy_function, inference_function, learning_rate, devices):
optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=0.95)
train_queue = tf.contrib.slim.prefetch_queue.prefetch_queue([images_train, labels_train],
capacity=20 * len(devices), num_threads=len(devices))
test_queue = tf.contrib.slim.prefetch_queue.prefetch_queue([images_test, labels_test],
capacity=20 * len(devices), num_threads=len(devices))
tower_grads = []
train_loss_arr = []
train_acc_arr = []
test_loss_arr = []
test_acc_arr = []
with tf.variable_scope(tf.get_variable_scope()) as scope:
for dev_id in range(len(devices)):
with tf.device(devices[dev_id]):
with tf.name_scope('tower_%s' % devices[dev_id][-1]) as scope:
# train ops
batch_images_train, batch_labels_train = train_queue.dequeue()
train_preds = inference_function(batch_images_train, reuse=dev_id != 0, is_training=True)
train_loss = loss_function(train_preds, batch_labels_train, reuse=dev_id != 0)
train_loss_arr.append(train_loss)
train_acc_arr.append(accuracy_function(train_preds, batch_labels_train))
variables = filter(lambda v: 'optimizer' not in v.name.lower(), tf.trainable_variables())
grads = optimizer.compute_gradients(train_loss, variables)
tower_grads.append(grads)
tf.get_variable_scope().reuse_variables()
# test ops
batch_images_test, batch_labels_test = test_queue.dequeue()
test_preds = inference_function(batch_images_test, reuse=True, is_training=False)
test_loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=test_preds,
labels=batch_labels_test)
test_loss = tf.reduce_mean(test_loss)
test_loss_arr.append(test_loss)
test_acc_arr.append(accuracy_function(test_preds, batch_labels_test))
tf.get_variable_scope().reuse_variables()
grads = average_gradients(tower_grads)
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
train_loss_op = tf.add_n(train_loss_arr)/len(devices)
tf.summary.scalar('train loss', train_loss_op)
train_acc_op = tf.add_n(train_acc_arr)/len(devices)
tf.summary.scalar('train accuracy', train_acc_op)
test_loss_op = tf.add_n(test_loss_arr)/len(devices)
test_acc_op = tf.add_n(test_acc_arr)/len(devices)
with tf.control_dependencies(update_ops):
train_op = optimizer.apply_gradients(grads, global_step=global_step)
return train_op, test_acc_op, test_loss_op
def build_graph_multigpu_stoch(images_train, labels_train, images_test, labels_test, global_step, loss_function,
accuracy_function, inference_function, learning_rate, devices):
optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=0.95)
train_queue = tf.contrib.slim.prefetch_queue.prefetch_queue([images_train, labels_train],
capacity=20 * len(devices), num_threads=len(devices))
test_queue = tf.contrib.slim.prefetch_queue.prefetch_queue([images_test, labels_test],
capacity=20 * len(devices), num_threads=len(devices))
tower_grads = []
train_loss_arr = []
train_acc_arr = []
test_loss_arr = []
test_acc_arr = []
with tf.variable_scope(tf.get_variable_scope()) as scope:
for dev_id in range(len(devices)):
with tf.device(devices[dev_id]):
with tf.name_scope('tower_%s' % devices[dev_id][-1]) as scope:
# train ops
batch_images_train, batch_labels_train = train_queue.dequeue()
train_preds = inference_function(batch_images_train, reuse=dev_id != 0, is_training=True)
train_loss = loss_function(train_preds, batch_labels_train, reuse=dev_id != 0)
train_loss_arr.append(train_loss)
train_acc_arr.append(accuracy_function(train_preds, batch_labels_train))
variables = filter(lambda v: 'optimizer' not in v.name.lower(), tf.trainable_variables())
grads = optimizer.compute_gradients(train_loss, variables)
tower_grads.append(grads)
tf.get_variable_scope().reuse_variables()
# test ops
batch_images_test, batch_labels_test = test_queue.dequeue()
test_preds = inference_function(batch_images_test, reuse=True, is_training=False)
test_loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=test_preds,
labels=batch_labels_test)
test_loss = tf.reduce_mean(test_loss)
test_loss_arr.append(test_loss)
test_acc_arr.append(accuracy_function(test_preds, batch_labels_test))
tf.get_variable_scope().reuse_variables()
grads = average_gradients(tower_grads)
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
train_loss_op = tf.add_n(train_loss_arr)/len(devices)
tf.summary.scalar('train loss', train_loss_op)
train_acc_op = tf.add_n(train_acc_arr)/len(devices)
tf.summary.scalar('train accuracy', train_acc_op)
test_loss_op = tf.add_n(test_loss_arr)/len(devices)
test_acc_op = tf.add_n(test_acc_arr)/len(devices)
with tf.control_dependencies(update_ops):
train_op = optimizer.apply_gradients(grads, global_step=global_step)
return train_op, test_acc_op, test_loss_op
def get_weights():
variables = tf.get_collection('variables')
# variables = filter(lambda v: 'conv_2' in v.name.lower() or 'dense_1' in v.name.lower(), variables)
variables = filter(lambda v: 'dense_1' in v.name.lower(), variables)
variables = filter(lambda v: 'W' in v.name or 'kernel' in v.name, variables)
return variables
def build_graph_with_hess(images, labels, loss_function, inference_function, learning_rate, global_step):
optimizer_net = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=0.95)
tf.summary.scalar('learning_rate', learning_rate)
with tf.variable_scope(tf.get_variable_scope()) as scope:
logits_stoch = inference_function(images, stochastic=True, reuse=False)
probs_stoch = tf.nn.softmax(logits_stoch)
tf.get_variable_scope().reuse_variables()
logits_det = inference_function(images, stochastic=False, reuse=True)
probs_det = tf.nn.softmax(logits_det)
train_loss = loss_function(logits_stoch, labels)
# weights = get_weights()
# for v in weights:
# hess = tf.diag_part(tf.squeeze(tf.hessians(logits_det, v)))
# tf.summary.histogram(v.name + 'hessian', hess)
# print v.name, v.get_shape(), hess.get_shape()
train_op = optimizer_net.minimize(train_loss, global_step=global_step)
return train_op, probs_det, probs_stoch
| 55.352941 | 117 | 0.66467 | 1,337 | 10,351 | 4.801795 | 0.112939 | 0.035047 | 0.024299 | 0.033645 | 0.83567 | 0.819626 | 0.819626 | 0.813707 | 0.813707 | 0.784112 | 0 | 0.005502 | 0.245 | 10,351 | 186 | 118 | 55.650538 | 0.815995 | 0.063182 | 0 | 0.782313 | 0 | 0 | 0.014876 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.006803 | 0 | 0.102041 | 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 |
cd3dc7866ca74a852eeefd8b0bbed5cc009c8a18 | 101 | py | Python | Python/text-wrap.py | DacioRomero/HackerRank | d1d43bd23e319bf8015a741eca70ba471a13c045 | [
"MIT"
] | 1 | 2020-07-28T00:08:38.000Z | 2020-07-28T00:08:38.000Z | Python/text-wrap.py | DacioRomero/HackerRank | d1d43bd23e319bf8015a741eca70ba471a13c045 | [
"MIT"
] | null | null | null | Python/text-wrap.py | DacioRomero/HackerRank | d1d43bd23e319bf8015a741eca70ba471a13c045 | [
"MIT"
] | null | null | null | import textwrap
def wrap(string, max_width):
return "\n".join(textwrap.wrap(string, max_width))
| 20.2 | 54 | 0.732673 | 15 | 101 | 4.8 | 0.666667 | 0.277778 | 0.361111 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128713 | 101 | 4 | 55 | 25.25 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 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 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 9 |
cd7378db00f9a6e962eb1083d2a5105695703176 | 49 | py | Python | app/instance/config.py | vicky-eve/NewsHighlight | ecaa668bc3b67aa84af4bf76d6ed6bd1d07207cb | [
"MIT"
] | null | null | null | app/instance/config.py | vicky-eve/NewsHighlight | ecaa668bc3b67aa84af4bf76d6ed6bd1d07207cb | [
"MIT"
] | null | null | null | app/instance/config.py | vicky-eve/NewsHighlight | ecaa668bc3b67aa84af4bf76d6ed6bd1d07207cb | [
"MIT"
] | null | null | null | NEWS_API_KEY = 'aa251654e1b04b0d9917f813d99cb1a9' | 49 | 49 | 0.897959 | 4 | 49 | 10.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.446809 | 0.040816 | 49 | 1 | 49 | 49 | 0.446809 | 0 | 0 | 0 | 0 | 0 | 0.64 | 0.64 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
cd9a2020ec20ebe4b0dbfad69d533a88e12c9faa | 46 | py | Python | Pay.py | ivan-2020-vip/firstGit | f1b49c4d5e774208c96f036719e3fb14fd08c76b | [
"MIT"
] | null | null | null | Pay.py | ivan-2020-vip/firstGit | f1b49c4d5e774208c96f036719e3fb14fd08c76b | [
"MIT"
] | null | null | null | Pay.py | ivan-2020-vip/firstGit | f1b49c4d5e774208c96f036719e3fb14fd08c76b | [
"MIT"
] | null | null | null | num1=100 #2020-11-09
num2=200 #2020-11-09/2 | 15.333333 | 23 | 0.673913 | 11 | 46 | 2.818182 | 0.727273 | 0.387097 | 0.516129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.625 | 0.130435 | 46 | 3 | 23 | 15.333333 | 0.15 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f8632b87f95fcce1381a0ba94eaaab01d40801d6 | 125 | py | Python | sagemaker/source/preprocessing/__init__.py | Otarkia/aws-fleet-predictive-maintenance | d6633bb49acd357d0c760c431368070e9680617f | [
"Apache-2.0"
] | 37 | 2020-07-14T19:01:09.000Z | 2022-03-04T20:58:03.000Z | sagemaker/source/preprocessing/__init__.py | IronOnet/aws-fleet-predictive-maintenance | d6633bb49acd357d0c760c431368070e9680617f | [
"Apache-2.0"
] | null | null | null | sagemaker/source/preprocessing/__init__.py | IronOnet/aws-fleet-predictive-maintenance | d6633bb49acd357d0c760c431368070e9680617f | [
"Apache-2.0"
] | 17 | 2020-07-15T00:04:29.000Z | 2022-02-06T05:29:58.000Z | from .preprocessing import pivot_data
from .preprocessing import sample_dataset
from .dataframewriter import DataFrameWriter
| 31.25 | 44 | 0.88 | 14 | 125 | 7.714286 | 0.571429 | 0.314815 | 0.425926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096 | 125 | 3 | 45 | 41.666667 | 0.955752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f87b57a42a46f20e7307a88e01b5ac7f3c99b8ae | 39,117 | py | Python | tsf_nmt/decoders.py | giancds/tsf_nmt | 82d6fb338ec1395159dfee154b96761750304848 | [
"Apache-2.0"
] | 71 | 2016-01-26T03:14:55.000Z | 2022-02-27T20:27:00.000Z | tsf_nmt/decoders.py | afcarl/tsf_nmt | 82d6fb338ec1395159dfee154b96761750304848 | [
"Apache-2.0"
] | 2 | 2016-05-16T06:54:06.000Z | 2017-01-01T12:59:01.000Z | tsf_nmt/decoders.py | afcarl/tsf_nmt | 82d6fb338ec1395159dfee154b96761750304848 | [
"Apache-2.0"
] | 19 | 2016-05-11T09:48:12.000Z | 2018-08-05T16:50:15.000Z | # -*- coding: utf-8 -*-
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops, embedding_ops, math_ops, nn_ops
from tensorflow.python.ops import variable_scope as vs
import cells
from attention import global_attention
from content_functions import decoder_type_2, vinyals_kaiser, mod_bahdanau
# from six.moves import xrange
_SEED = 1234
# TODO: finish pydocs
def _embed_inputs(decoder_inputs, num_symbols, input_size, input_feeding=False):
with ops.device("/cpu:0"):
if input_feeding:
embedding = vs.get_variable("embedding", [num_symbols, input_size / 2])
else:
embedding = vs.get_variable("embedding", [num_symbols, input_size])
emb_inp = [embedding_ops.embedding_lookup(embedding, i) for i in decoder_inputs]
return emb_inp
def attention_decoder(decoder_inputs, initial_state, attention_states, cell, num_symbols,
attention_f=global_attention, window_size=10, content_function=vinyals_kaiser,
decoder_attention_f=decoder_type_2, combine_inp_attn=False, input_feeding=False,
dropout=None, initializer=None, decoder_states=None, step_num=None,
dtype=tf.float32, scope=None):
"""
Helper function implementing a RNN decoder with global, local or hybrid attention for the sequence-to-sequence
model.
Parameters
----------
decoder_inputs: list
a list of 2D Tensors [batch_size x cell.input_size].
initial_state: tensor
2d Tensor [batch_size x (number of decoder layers * hidden_layer_size * 2)] if LSTM or
[batch_size x (number of decoder layers * hidden_layer_size)] if GRU representing the initial
state (usually, we take the states of the encoder) to be used when running the decoder. The '2' on
the LSTM formula mean that we have to set the hidden state and the cell state.
attention_states: tensor
3D tensor [batch_size x attn_length (time) x attn_size (hidden_layer_size)] representing the encoder
hidden states that will be used to derive the context (attention) vector.
cell: RNNCell
rnn_cell.RNNCell defining the cell function and size.
batch_size: tensor
tensor representing the batch size used when training the model
attention_f: function
function indicating which type of attention to use. Default to global_attention.
loop_function:
if not None, this function will be applied to i-th output
in order to generate i+1-th input, and decoder_inputs will be ignored,
except for the first element ("GO" symbol). This can be used for decoding,
but also for training to emulate http://arxiv.org/pdf/1506.03099v2.pdf.
Signature -- loop_function(prev, i) = next
* prev is a 2D Tensor of shape [batch_size x cell.output_size],
* i is an integer, the step number (when advanced control is needed),
* next is a 2D Tensor of shape [batch_size x cell.input_size].
window_size: int
size of the window to apply on local attention.Default to 10.
input_feeding : boolean
Flag indicating where to use the "input feeding approach" proposed by Luong et al. (2015).
Default to False.
content_function: string
dtype:
The dtype to use for the RNN initial state (default: tf.float32).
scope:
VariableScope for the created subgraph; default: "attention_decoder".
Returns
-------
outputs:
A list of the same length as decoder_inputs of 2D Tensors of shape
[batch_size x output_size]. These represent the generated outputs.
Output i is computed from input i (which is either i-th decoder_inputs or
loop_function(output {i-1}, i)) as follows. First, we run the cell
on a combination of the input and previous attention masks:
cell_output, new_state = cell(linear(input, prev_attn), prev_state).
Then, we calculate new attention masks:
new_attn = softmax(V^T * tanh(W * attention_states + U * new_state))
and then we calculate the output:
output = linear(cell_output, new_attn).
states:
The state of each decoder cell in each time-step. This is a list
with length len(decoder_inputs) -- one item for each time-step.
Each item is a 2D Tensor of shape [batch_size x cell.state_size].
"""
assert attention_f is not None
output_size = cell.output_size
if dropout is not None:
for c in cell._cells:
c.input_keep_prob = 1.0 - dropout
if initializer is None:
initializer = tf.random_uniform_initializer(minval=-0.1, maxval=0.1, seed=_SEED)
tf.name_scope()
with vs.variable_scope(scope or "embedding_attention_decoder", initializer=initializer):
emb_inp = _embed_inputs(decoder_inputs, num_symbols, cell.input_size, input_feeding=input_feeding)
batch = array_ops.shape(emb_inp[0])[0] # Needed for reshaping.
attn_length = attention_states.get_shape()[1].value
attn_size = attention_states.get_shape()[2].value
# To calculate W1 * h_t we use a 1-by-1 convolution, need to reshape before.
hidden = array_ops.reshape(attention_states, [-1, attn_length, 1, attn_size])
cell_states = initial_state
cell_outputs = []
outputs = []
batch_attn_size = array_ops.pack([batch, attn_size])
# initial attention state
ct = array_ops.zeros(batch_attn_size, dtype=dtype)
ct.set_shape([None, attn_size])
for i in xrange(len(emb_inp)):
if i > 0:
vs.get_variable_scope().reuse_variables()
if input_feeding:
# if using input_feeding, concatenate previous attention with input to layers
inp = array_ops.concat(1, [emb_inp[i], ct])
else:
inp = emb_inp[i]
if combine_inp_attn:
# Merge input and previous attentions into one vector of the right size.
x = cells.linear([inp] + [ct], cell.input_size, True)
else:
x = inp
# Run the RNN.
cell_output, new_state = cell(x, cell_states)
cell_states = new_state
cell_outputs.append(cell_output)
# dt = new_state
if content_function is mod_bahdanau:
dt = cell_outputs[-2]
else:
dt = cell_output
ct = attention_f(decoder_hidden_state=dt, hidden_attn=hidden,
initializer=initializer, window_size=window_size,
content_function=content_function, dtype=dtype)
#
with vs.variable_scope("AttnOutputProjection", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
output = cells.linear([ct] + [cell_output], output_size, True)
output = tf.tanh(output)
outputs.append(output)
return outputs, cell_states, None
def attention_decoder_informed(decoder_inputs, initial_state, attention_states, cell, num_symbols,
attention_f=global_attention, window_size=10, content_function=vinyals_kaiser,
decoder_attention_f=decoder_type_2, combine_inp_attn=False, input_feeding=False,
dropout=None, initializer=None, decoder_states=None, step_num=None,
dtype=tf.float32, scope=None):
"""
Helper function implementing a RNN decoder with global, local or hybrid attention for the sequence-to-sequence
model.
Parameters
----------
decoder_inputs: list
a list of 2D Tensors [batch_size x cell.input_size].
initial_state: tensor
2d Tensor [batch_size x (number of decoder layers * hidden_layer_size * 2)] if LSTM or
[batch_size x (number of decoder layers * hidden_layer_size)] if GRU representing the initial
state (usually, we take the states of the encoder) to be used when running the decoder. The '2' on
the LSTM formula mean that we have to set the hidden state and the cell state.
attention_states: tensor
3D tensor [batch_size x attn_length (time) x attn_size (hidden_layer_size)] representing the encoder
hidden states that will be used to derive the context (attention) vector.
cell: RNNCell
rnn_cell.RNNCell defining the cell function and size.
batch_size: tensor
tensor representing the batch size used when training the model
attention_f: function
function indicating which type of attention to use. Default to global_attention.
loop_function:
if not None, this function will be applied to i-th output
in order to generate i+1-th input, and decoder_inputs will be ignored,
except for the first element ("GO" symbol). This can be used for decoding,
but also for training to emulate http://arxiv.org/pdf/1506.03099v2.pdf.
Signature -- loop_function(prev, i) = next
* prev is a 2D Tensor of shape [batch_size x cell.output_size],
* i is an integer, the step number (when advanced control is needed),
* next is a 2D Tensor of shape [batch_size x cell.input_size].
window_size: int
size of the window to apply on local attention.Default to 10.
input_feeding : boolean
Flag indicating where to use the "input feeding approach" proposed by Luong et al. (2015).
Default to False.
content_function: string
dtype:
The dtype to use for the RNN initial state (default: tf.float32).
scope:
VariableScope for the created subgraph; default: "attention_decoder".
Returns
-------
outputs:
A list of the same length as decoder_inputs of 2D Tensors of shape
[batch_size x output_size]. These represent the generated outputs.
Output i is computed from input i (which is either i-th decoder_inputs or
loop_function(output {i-1}, i)) as follows. First, we run the cell
on a combination of the input and previous attention masks:
cell_output, new_state = cell(linear(input, prev_attn), prev_state).
Then, we calculate new attention masks:
new_attn = softmax(V^T * tanh(W * attention_states + U * new_state))
and then we calculate the output:
output = linear(cell_output, new_attn).
states:
The state of each decoder cell in each time-step. This is a list
with length len(decoder_inputs) -- one item for each time-step.
Each item is a 2D Tensor of shape [batch_size x cell.state_size].
"""
assert attention_f is not None
output_size = cell.output_size
if dropout is not None:
for c in cell._cells:
c.input_keep_prob = 1.0 - dropout
if initializer is None:
initializer = tf.random_uniform_initializer(minval=-0.1, maxval=0.1, seed=_SEED)
with vs.variable_scope(scope or "embedding_attention_decoder", initializer=initializer):
emb_inp = _embed_inputs(decoder_inputs, num_symbols, cell.input_size, input_feeding=input_feeding)
batch = array_ops.shape(emb_inp[0])[0] # Needed for reshaping.
attn_length = attention_states.get_shape()[1].value
attn_size = attention_states.get_shape()[2].value
# To calculate W1 * h_t we use a 1-by-1 convolution, need to reshape before.
hidden = array_ops.reshape(attention_states, [-1, attn_length, 1, attn_size])
cell_states = initial_state
cell_outputs = []
outputs = []
batch_attn_size = array_ops.pack([batch, attn_size])
# initial attention state
ct = array_ops.zeros(batch_attn_size, dtype=dtype)
ct.set_shape([None, attn_size])
for i in xrange(len(emb_inp)):
if i > 0:
vs.get_variable_scope().reuse_variables()
if input_feeding:
# if using input_feeding, concatenate previous attention with input to layers
inp = array_ops.concat(1, [emb_inp[i], ct])
else:
inp = emb_inp[i]
if combine_inp_attn:
# Merge input and previous attentions into one vector of the right size.
x = cells.linear([inp] + [ct], cell.input_size, True)
else:
x = inp
# Run the RNN.
cell_output, new_state = cell(x, cell_states)
cell_states = new_state
cell_outputs.append(cell_output)
# dt = new_state
if content_function is mod_bahdanau:
dt = cell_outputs[-2]
else:
dt = cell_output
ct = attention_f(decoder_hidden_state=dt, hidden_attn=hidden,
initializer=initializer, window_size=window_size,
content_function=content_function, dtype=dtype)
#
with vs.variable_scope("AttnOutputProjection", initializer=initializer):
with vs.variable_scope("AttnOutputProjection_logit_lstm", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_lstm = cells.linear([cell_output], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_ctx", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_ctx = cells.linear([ct], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_emb", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_prev = cells.linear([x], output_size, True)
output = tf.tanh(logit_lstm + logit_prev + logit_ctx)
outputs.append(output)
return outputs, cell_states, None
def attention_decoder_output(decoder_inputs, initial_state, attention_states, cell, num_symbols,
attention_f=global_attention, window_size=10, content_function=vinyals_kaiser,
decoder_attention_f=decoder_type_2, combine_inp_attn=False, input_feeding=False,
dropout=None, initializer=None, decoder_states=None, step_num=None,
dtype=tf.float32, scope=None):
"""
Helper function implementing a RNN decoder with global, local or hybrid attention for the sequence-to-sequence
model.
Parameters
----------
decoder_inputs: list
a list of 2D Tensors [batch_size x cell.input_size].
initial_state: tensor
3D Tensor [batch_size x attn_length x attn_size].
attention_states:
cell: RNNCell
rnn_cell.RNNCell defining the cell function and size.
batch_size: int
batch size when training the model
attention_f: function
function indicating which type of attention to use. Default to global_attention.
output_size: int
size of the output vectors; if None, we use cell.output_size.
loop_function:
if not None, this function will be applied to i-th output
in order to generate i+1-th input, and decoder_inputs will be ignored,
except for the first element ("GO" symbol). This can be used for decoding,
but also for training to emulate http://arxiv.org/pdf/1506.03099v2.pdf.
Signature -- loop_function(prev, i) = next
* prev is a 2D Tensor of shape [batch_size x cell.output_size],
* i is an integer, the step number (when advanced control is needed),
* next is a 2D Tensor of shape [batch_size x cell.input_size].
window_size: int
size of the window to apply on local attention
input_feeding: boolean
whether or not to use the input feeding approach by Luong et al., 2015.
content_function: string
dtype:
The dtype to use for the RNN initial state (default: tf.float32).
scope:
VariableScope for the created subgraph; default: "attention_decoder".
Returns
-------
outputs:
A list of the same length as decoder_inputs of 2D Tensors of shape
[batch_size x output_size]. These represent the generated outputs.
Output i is computed from input i (which is either i-th decoder_inputs or
loop_function(output {i-1}, i)) as follows. First, we run the cell
on a combination of the input and previous attention masks:
cell_output, new_state = cell(linear(input, prev_attn), prev_state).
Then, we calculate new attention masks:
new_attn = softmax(V^T * tanh(W * attention_states + U * new_state))
and then we calculate the output:
output = linear(cell_output, new_attn).
states:
The state of each decoder cell in each time-step. This is a list
with length len(decoder_inputs) -- one item for each time-step.
Each item is a 2D Tensor of shape [batch_size x cell.state_size].
"""
assert attention_f is not None
output_size = cell.output_size
if dropout is not None:
for c in cell._cells:
c.input_keep_prob = 1.0 - dropout
if initializer is None:
initializer = tf.random_uniform_initializer(minval=-0.1, maxval=0.1, seed=_SEED)
with vs.variable_scope(scope or "attention_decoder", initializer=initializer):
emb_inp = _embed_inputs(decoder_inputs, num_symbols, cell.input_size, input_feeding=input_feeding)
batch = array_ops.shape(emb_inp[0])[0] # Needed for reshaping.
attn_length = attention_states.get_shape()[1].value
attn_size = attention_states.get_shape()[2].value
# To calculate W1 * h_t we use a 1-by-1 convolution, need to reshape before.
hidden = array_ops.reshape(attention_states, [-1, attn_length, 1, attn_size])
cell_state = initial_state
outputs = []
batch_attn_size = array_ops.pack([batch, attn_size])
# initial attention state
ct = array_ops.zeros(batch_attn_size, dtype=dtype)
ct.set_shape([None, attn_size])
if decoder_states is None:
cell_outputs = []
else:
cell_outputs = decoder_states
for i in xrange(len(emb_inp)):
if i > 0:
vs.get_variable_scope().reuse_variables()
if input_feeding:
# if using input_feeding, concatenate previous attention with input to layers
inp = array_ops.concat(1, [emb_inp[i], ct])
else:
inp = emb_inp[i]
if combine_inp_attn:
# Merge input and previous attentions into one vector of the right size.
x = cells.linear([inp] + [ct], cell.input_size, True)
else:
x = inp
# Run the RNN.
cell_output, new_state = cell(x, cell_state)
cell_state = new_state
if decoder_states is None:
# states.append(new_state) # new_state = dt#
cell_outputs.append(cell_output)
else:
reshaped = tf.reshape(cell_output, [-1, 1, 1, attn_size])
decoder_states = tf.concat(1, [decoder_states, reshaped])
# dt = new_state
if content_function is mod_bahdanau:
dt = cell_outputs[-2]
else:
dt = cell_output
ct = attention_f(decoder_hidden_state=dt, hidden_attn=hidden,
initializer=initializer, window_size=window_size,
content_function=content_function, dtype=dtype)
with vs.variable_scope("AttnOutputProjection", initializer=initializer):
if decoder_states is None:
shape1 = len(cell_outputs)
top_states = [tf.reshape(o, [-1, 1, attn_size]) for o in cell_outputs]
output_attention_states = tf.concat(1, top_states)
decoder_hidden = array_ops.reshape(output_attention_states, [-1, shape1, 1, attn_size])
ht_hat = decoder_output_attention(decoder_hidden,
attn_size,
decoder_attention_f,
initializer=initializer)
else:
decoder_hidden = decoder_states
ht_hat = decoder_output_attention(decoder_hidden,
attn_size,
decoder_attention_f,
initializer=initializer,
step_num=step_num)
output = cells.linear([ct] + [ht_hat], output_size, True)
output = tf.tanh(output)
outputs.append(output)
if decoder_states is None:
cell_outs = [tf.reshape(o, [-1, 1, 1, attn_size]) for o in cell_outputs]
cell_outputs = tf.concat(1, cell_outs)
else:
cell_outputs = decoder_states
return outputs, cell_state, cell_outputs
def decoder_output_attention(decoder_hidden, attn_size, decoder_attention_f, initializer=None, step_num=None):
"""
Parameters
----------
decoder_states
attn_size
Returns
-------
"""
assert initializer is not None
with vs.variable_scope("decoder_output_attention", initializer=initializer):
s = decoder_attention_f(decoder_hidden, attn_size)
# beta will be (?, timesteps)
beta = nn_ops.softmax(s)
if step_num is None: # step_num is None when training
shape = decoder_hidden.get_shape()
timesteps = shape[1].value
b = array_ops.reshape(beta, [-1, timesteps, 1, 1])
else:
b = array_ops.reshape(beta, tf.pack([-1, step_num, 1, 1]))
# b and decoder_hidden will be (?, timesteps, 1, 1)
d = math_ops.reduce_sum(b * decoder_hidden, [1, 2])
# d will be (?, decoder_size)
ds = tf.reshape(d, [-1, attn_size])
_ = tf.histogram_summary('attention_decoder_context', ds)
# ds is (?, decoder_size)
return ds
def attention_decoder_output_informed(decoder_inputs, initial_state, attention_states, cell, num_symbols,
attention_f=global_attention, window_size=10, content_function=vinyals_kaiser,
decoder_attention_f=decoder_type_2, combine_inp_attn=False, input_feeding=False,
dropout=None, initializer=None, decoder_states=None, step_num=None,
dtype=tf.float32, scope=None):
"""
Helper function implementing a RNN decoder with global, local or hybrid attention for the sequence-to-sequence
model.
Parameters
----------
decoder_inputs: list
a list of 2D Tensors [batch_size x cell.input_size].
initial_state: tensor
3D Tensor [batch_size x attn_length x attn_size].
attention_states:
cell: RNNCell
rnn_cell.RNNCell defining the cell function and size.
batch_size: int
batch size when training the model
attention_f: function
function indicating which type of attention to use. Default to global_attention.
output_size: int
size of the output vectors; if None, we use cell.output_size.
loop_function:
if not None, this function will be applied to i-th output
in order to generate i+1-th input, and decoder_inputs will be ignored,
except for the first element ("GO" symbol). This can be used for decoding,
but also for training to emulate http://arxiv.org/pdf/1506.03099v2.pdf.
Signature -- loop_function(prev, i) = next
* prev is a 2D Tensor of shape [batch_size x cell.output_size],
* i is an integer, the step number (when advanced control is needed),
* next is a 2D Tensor of shape [batch_size x cell.input_size].
window_size: int
size of the window to apply on local attention
input_feeding: boolean
whether or not to use the input feeding approach by Luong et al., 2015.
content_function: string
dtype:
The dtype to use for the RNN initial state (default: tf.float32).
scope:
VariableScope for the created subgraph; default: "attention_decoder".
Returns
-------
outputs:
A list of the same length as decoder_inputs of 2D Tensors of shape
[batch_size x output_size]. These represent the generated outputs.
Output i is computed from input i (which is either i-th decoder_inputs or
loop_function(output {i-1}, i)) as follows. First, we run the cell
on a combination of the input and previous attention masks:
cell_output, new_state = cell(linear(input, prev_attn), prev_state).
Then, we calculate new attention masks:
new_attn = softmax(V^T * tanh(W * attention_states + U * new_state))
and then we calculate the output:
output = linear(cell_output, new_attn).
states:
The state of each decoder cell in each time-step. This is a list
with length len(decoder_inputs) -- one item for each time-step.
Each item is a 2D Tensor of shape [batch_size x cell.state_size].
"""
assert attention_f is not None
output_size = cell.output_size
if dropout is not None:
for c in cell._cells:
c.input_keep_prob = 1.0 - dropout
if initializer is None:
initializer = tf.random_uniform_initializer(minval=-0.1, maxval=0.1, seed=_SEED)
with vs.variable_scope(scope or "attention_decoder", initializer=initializer):
emb_inp = _embed_inputs(decoder_inputs, num_symbols, cell.input_size, input_feeding=input_feeding)
batch = array_ops.shape(emb_inp[0])[0] # Needed for reshaping.
attn_length = attention_states.get_shape()[1].value
attn_size = attention_states.get_shape()[2].value
# To calculate W1 * h_t we use a 1-by-1 convolution, need to reshape before.
hidden = array_ops.reshape(attention_states, [-1, attn_length, 1, attn_size])
cell_state = initial_state
outputs = []
batch_attn_size = array_ops.pack([batch, attn_size])
# initial attention state
ct = array_ops.zeros(batch_attn_size, dtype=dtype)
ct.set_shape([None, attn_size])
if decoder_states is None:
cell_outputs = []
else:
cell_outputs = decoder_states
for i in xrange(len(emb_inp)):
if i > 0:
vs.get_variable_scope().reuse_variables()
if input_feeding:
# if using input_feeding, concatenate previous attention with input to layers
inp = array_ops.concat(1, [emb_inp[i], ct])
else:
inp = emb_inp[i]
if combine_inp_attn:
# Merge input and previous attentions into one vector of the right size.
x = cells.linear([inp] + [ct], cell.input_size, True)
else:
x = inp
# Run the RNN.
cell_output, new_state = cell(x, cell_state)
cell_state = new_state
if decoder_states is None:
# states.append(new_state) # new_state = dt#
cell_outputs.append(cell_output)
else:
reshaped = tf.reshape(cell_output, [-1, 1, 1, attn_size])
decoder_states = tf.concat(1, [decoder_states, reshaped])
# dt = new_state
if content_function is mod_bahdanau:
dt = cell_outputs[-2]
else:
dt = cell_output
ct = attention_f(decoder_hidden_state=dt, hidden_attn=hidden,
initializer=initializer, window_size=window_size,
content_function=content_function, dtype=dtype)
with vs.variable_scope("AttnOutputProjection", initializer=initializer):
if decoder_states is None:
shape1 = len(cell_outputs)
top_states = [tf.reshape(o, [-1, 1, attn_size]) for o in cell_outputs]
output_attention_states = tf.concat(1, top_states)
decoder_hidden = array_ops.reshape(output_attention_states, [-1, shape1, 1, attn_size])
ht_hat = decoder_output_attention(decoder_hidden,
attn_size,
decoder_attention_f,
initializer=initializer)
else:
decoder_hidden = decoder_states
ht_hat = decoder_output_attention(decoder_hidden,
attn_size,
decoder_attention_f,
initializer=initializer,
step_num=step_num)
with vs.variable_scope("AttnOutputProjection_logit_lstm", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_lstm = cells.linear([ht_hat], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_ctx", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_ctx = cells.linear([ct], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_emb", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_prev = cells.linear([x], output_size, True)
output = tf.tanh(logit_lstm + logit_prev + logit_ctx)
outputs.append(output)
if decoder_states is None:
cell_outs = [tf.reshape(o, [-1, 1, 1, attn_size]) for o in cell_outputs]
cell_outputs = tf.concat(1, cell_outs)
else:
cell_outputs = decoder_states
return outputs, cell_state, cell_outputs
def attention_decoder_nmt(decoder_inputs, initial_state, attention_states, cell, num_symbols,
attention_f=global_attention, window_size=10, content_function=vinyals_kaiser,
decoder_attention_f=decoder_type_2, combine_inp_attn=False, input_feeding=False,
dropout=None, initializer=None, dtype=tf.float32, scope=None):
"""
Helper function implementing a RNN decoder with global, local or hybrid attention for the sequence-to-sequence
model.
Parameters
----------
decoder_inputs: list
a list of 2D Tensors [batch_size x cell.input_size].
initial_state: tensor
2d Tensor [batch_size x (number of decoder layers * hidden_layer_size * 2)] if LSTM or
[batch_size x (number of decoder layers * hidden_layer_size)] if GRU representing the initial
state (usually, we take the states of the encoder) to be used when running the decoder. The '2' on
the LSTM formula mean that we have to set the hidden state and the cell state.
attention_states: tensor
3D tensor [batch_size x attn_length (time) x attn_size (hidden_layer_size)] representing the encoder
hidden states that will be used to derive the context (attention) vector.
cell: RNNCell
rnn_cell.RNNCell defining the cell function and size.
batch_size: tensor
tensor representing the batch size used when training the model
attention_f: function
function indicating which type of attention to use. Default to global_attention.
loop_function:
if not None, this function will be applied to i-th output
in order to generate i+1-th input, and decoder_inputs will be ignored,
except for the first element ("GO" symbol). This can be used for decoding,
but also for training to emulate http://arxiv.org/pdf/1506.03099v2.pdf.
Signature -- loop_function(prev, i) = next
* prev is a 2D Tensor of shape [batch_size x cell.output_size],
* i is an integer, the step number (when advanced control is needed),
* next is a 2D Tensor of shape [batch_size x cell.input_size].
window_size: int
size of the window to apply on local attention.Default to 10.
input_feeding : boolean
Flag indicating where to use the "input feeding approach" proposed by Luong et al. (2015).
Default to False.
content_function: string
dtype:
The dtype to use for the RNN initial state (default: tf.float32).
scope:
VariableScope for the created subgraph; default: "attention_decoder".
Returns
-------
outputs:
A list of the same length as decoder_inputs of 2D Tensors of shape
[batch_size x output_size]. These represent the generated outputs.
Output i is computed from input i (which is either i-th decoder_inputs or
loop_function(output {i-1}, i)) as follows. First, we run the cell
on a combination of the input and previous attention masks:
cell_output, new_state = cell(linear(input, prev_attn), prev_state).
Then, we calculate new attention masks:
new_attn = softmax(V^T * tanh(W * attention_states + U * new_state))
and then we calculate the output:
output = linear(cell_output, new_attn).
states:
The state of each decoder cell in each time-step. This is a list
with length len(decoder_inputs) -- one item for each time-step.
Each item is a 2D Tensor of shape [batch_size x cell.state_size].
"""
assert attention_f is not None
output_size = cell.output_size
if dropout is not None:
cell.input_keep_prob = 1.0 - dropout
if initializer is None:
initializer = tf.random_uniform_initializer(minval=-0.1, maxval=0.1, seed=_SEED)
with vs.variable_scope(scope or "embedding_attention_decoder", initializer=initializer):
emb_inp = _embed_inputs(decoder_inputs, num_symbols, cell.input_size, input_feeding=input_feeding)
batch = array_ops.shape(emb_inp[0])[0] # Needed for reshaping.
attn_length = attention_states.get_shape()[1].value
attn_size = attention_states.get_shape()[2].value
# To calculate W1 * h_t we use a 1-by-1 convolution, need to reshape before.
hidden = array_ops.reshape(attention_states, [-1, attn_length, 1, attn_size])
cell_states = initial_state
initial_state_decoder = tf.zeros_like(initial_state)
initial_state_decoder.set_shape([None, initial_state.get_shape()[1].value])
cell_outputs = [initial_state_decoder]
outputs = []
batch_attn_size = array_ops.pack([batch, attn_size])
# initial attention state
ct = array_ops.zeros(batch_attn_size, dtype=dtype)
ct.set_shape([None, attn_size])
for i in xrange(len(emb_inp)):
if i > 0:
vs.get_variable_scope().reuse_variables()
if input_feeding:
# if using input_feeding, concatenate previous attention with input to layers
inp = array_ops.concat(1, [emb_inp[i], ct])
else:
inp = emb_inp[i]
if combine_inp_attn:
# Merge input and previous attentions into one vector of the right size.
x = cells.linear([inp] + [ct], cell.input_size, True)
else:
x = inp
dt = cell_outputs[-1]
ct = attention_f(decoder_hidden_state=dt, hidden_attn=hidden,
initializer=initializer, window_size=window_size,
content_function=content_function, dtype=dtype)
# Run the RNN.
cell_output, new_state = cell(x, cell_states, context=ct)
cell_states = new_state
cell_outputs.append(cell_output)
#
with vs.variable_scope("AttnOutputProjection", initializer=initializer):
with vs.variable_scope("AttnOutputProjection_logit_lstm", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_lstm = cells.linear([cell_output], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_ctx", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_ctx = cells.linear([ct], output_size, True)
with vs.variable_scope("AttnOutputProjection_logit_emb", initializer=initializer):
# if we pass a list of tensors, linear will first concatenate them over axis 1
logit_prev = cells.linear([x], output_size, True)
# if we pass a list of tensors, linear will first concatenate them over axis 1
output = tf.tanh(logit_lstm + logit_prev + logit_ctx)
outputs.append(output)
return outputs, cell_states
| 40.037871 | 118 | 0.611754 | 4,963 | 39,117 | 4.628048 | 0.05541 | 0.017763 | 0.015673 | 0.01219 | 0.948496 | 0.943707 | 0.93944 | 0.93944 | 0.93944 | 0.933127 | 0 | 0.011716 | 0.319196 | 39,117 | 976 | 119 | 40.078893 | 0.850775 | 0.447862 | 0 | 0.866477 | 0 | 0 | 0.027573 | 0.019807 | 0 | 0 | 0 | 0.001025 | 0.017045 | 1 | 0.019886 | false | 0 | 0.025568 | 0 | 0.065341 | 0.002841 | 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 |
f88af59569ce90931096d9ab372bd7b58b4af38c | 30,901 | py | Python | sdk/python/pulumi_artifactory/group.py | pulumi/terraform-provider-artifactory | 4f217f2e6bc2f7e5395a148cd3b3b7b5aaa66372 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2021-11-17T15:06:59.000Z | 2022-03-21T02:36:15.000Z | sdk/python/pulumi_artifactory/group.py | pulumi/terraform-provider-artifactory | 4f217f2e6bc2f7e5395a148cd3b3b7b5aaa66372 | [
"ECL-2.0",
"Apache-2.0"
] | 113 | 2021-11-09T14:14:50.000Z | 2022-03-31T23:18:29.000Z | sdk/python/pulumi_artifactory/group.py | pulumi/terraform-provider-artifactory | 4f217f2e6bc2f7e5395a148cd3b3b7b5aaa66372 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-11-22T11:19:48.000Z | 2021-12-17T01:39:20.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = ['GroupArgs', 'Group']
@pulumi.input_type
class GroupArgs:
def __init__(__self__, *,
admin_privileges: Optional[pulumi.Input[bool]] = None,
auto_join: Optional[pulumi.Input[bool]] = None,
description: Optional[pulumi.Input[str]] = None,
detach_all_users: Optional[pulumi.Input[bool]] = None,
external_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
policy_manager: Optional[pulumi.Input[bool]] = None,
realm: Optional[pulumi.Input[str]] = None,
realm_attributes: Optional[pulumi.Input[str]] = None,
reports_manager: Optional[pulumi.Input[bool]] = None,
users_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
watch_manager: Optional[pulumi.Input[bool]] = None):
"""
The set of arguments for constructing a Group resource.
:param pulumi.Input[bool] admin_privileges: Any users added to this group will automatically be assigned with admin privileges in the system.
:param pulumi.Input[bool] auto_join: When this parameter is set, any new users defined in the system are automatically assigned to this group.
:param pulumi.Input[str] description: A description for the group
:param pulumi.Input[bool] detach_all_users: When this override is set, an empty or missing usernames array will detach all users from the group
:param pulumi.Input[str] external_id: New external group ID used to configure the corresponding group in Azure AD.
:param pulumi.Input[str] name: Name of the group
:param pulumi.Input[bool] policy_manager: When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
:param pulumi.Input[str] realm: The realm for the group.
:param pulumi.Input[str] realm_attributes: The realm attributes for the group.
:param pulumi.Input[bool] reports_manager: When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
:param pulumi.Input[Sequence[pulumi.Input[str]]] users_names: List of users assigned to the group. If missing or empty, tf will not manage group membership
:param pulumi.Input[bool] watch_manager: When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
if admin_privileges is not None:
pulumi.set(__self__, "admin_privileges", admin_privileges)
if auto_join is not None:
pulumi.set(__self__, "auto_join", auto_join)
if description is not None:
pulumi.set(__self__, "description", description)
if detach_all_users is not None:
pulumi.set(__self__, "detach_all_users", detach_all_users)
if external_id is not None:
pulumi.set(__self__, "external_id", external_id)
if name is not None:
pulumi.set(__self__, "name", name)
if policy_manager is not None:
pulumi.set(__self__, "policy_manager", policy_manager)
if realm is not None:
pulumi.set(__self__, "realm", realm)
if realm_attributes is not None:
pulumi.set(__self__, "realm_attributes", realm_attributes)
if reports_manager is not None:
pulumi.set(__self__, "reports_manager", reports_manager)
if users_names is not None:
pulumi.set(__self__, "users_names", users_names)
if watch_manager is not None:
pulumi.set(__self__, "watch_manager", watch_manager)
@property
@pulumi.getter(name="adminPrivileges")
def admin_privileges(self) -> Optional[pulumi.Input[bool]]:
"""
Any users added to this group will automatically be assigned with admin privileges in the system.
"""
return pulumi.get(self, "admin_privileges")
@admin_privileges.setter
def admin_privileges(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "admin_privileges", value)
@property
@pulumi.getter(name="autoJoin")
def auto_join(self) -> Optional[pulumi.Input[bool]]:
"""
When this parameter is set, any new users defined in the system are automatically assigned to this group.
"""
return pulumi.get(self, "auto_join")
@auto_join.setter
def auto_join(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "auto_join", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
A description for the group
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="detachAllUsers")
def detach_all_users(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, an empty or missing usernames array will detach all users from the group
"""
return pulumi.get(self, "detach_all_users")
@detach_all_users.setter
def detach_all_users(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "detach_all_users", value)
@property
@pulumi.getter(name="externalId")
def external_id(self) -> Optional[pulumi.Input[str]]:
"""
New external group ID used to configure the corresponding group in Azure AD.
"""
return pulumi.get(self, "external_id")
@external_id.setter
def external_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "external_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the group
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="policyManager")
def policy_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
"""
return pulumi.get(self, "policy_manager")
@policy_manager.setter
def policy_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "policy_manager", value)
@property
@pulumi.getter
def realm(self) -> Optional[pulumi.Input[str]]:
"""
The realm for the group.
"""
return pulumi.get(self, "realm")
@realm.setter
def realm(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "realm", value)
@property
@pulumi.getter(name="realmAttributes")
def realm_attributes(self) -> Optional[pulumi.Input[str]]:
"""
The realm attributes for the group.
"""
return pulumi.get(self, "realm_attributes")
@realm_attributes.setter
def realm_attributes(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "realm_attributes", value)
@property
@pulumi.getter(name="reportsManager")
def reports_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "reports_manager")
@reports_manager.setter
def reports_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "reports_manager", value)
@property
@pulumi.getter(name="usersNames")
def users_names(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of users assigned to the group. If missing or empty, tf will not manage group membership
"""
return pulumi.get(self, "users_names")
@users_names.setter
def users_names(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "users_names", value)
@property
@pulumi.getter(name="watchManager")
def watch_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "watch_manager")
@watch_manager.setter
def watch_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "watch_manager", value)
@pulumi.input_type
class _GroupState:
def __init__(__self__, *,
admin_privileges: Optional[pulumi.Input[bool]] = None,
auto_join: Optional[pulumi.Input[bool]] = None,
description: Optional[pulumi.Input[str]] = None,
detach_all_users: Optional[pulumi.Input[bool]] = None,
external_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
policy_manager: Optional[pulumi.Input[bool]] = None,
realm: Optional[pulumi.Input[str]] = None,
realm_attributes: Optional[pulumi.Input[str]] = None,
reports_manager: Optional[pulumi.Input[bool]] = None,
users_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
watch_manager: Optional[pulumi.Input[bool]] = None):
"""
Input properties used for looking up and filtering Group resources.
:param pulumi.Input[bool] admin_privileges: Any users added to this group will automatically be assigned with admin privileges in the system.
:param pulumi.Input[bool] auto_join: When this parameter is set, any new users defined in the system are automatically assigned to this group.
:param pulumi.Input[str] description: A description for the group
:param pulumi.Input[bool] detach_all_users: When this override is set, an empty or missing usernames array will detach all users from the group
:param pulumi.Input[str] external_id: New external group ID used to configure the corresponding group in Azure AD.
:param pulumi.Input[str] name: Name of the group
:param pulumi.Input[bool] policy_manager: When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
:param pulumi.Input[str] realm: The realm for the group.
:param pulumi.Input[str] realm_attributes: The realm attributes for the group.
:param pulumi.Input[bool] reports_manager: When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
:param pulumi.Input[Sequence[pulumi.Input[str]]] users_names: List of users assigned to the group. If missing or empty, tf will not manage group membership
:param pulumi.Input[bool] watch_manager: When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
if admin_privileges is not None:
pulumi.set(__self__, "admin_privileges", admin_privileges)
if auto_join is not None:
pulumi.set(__self__, "auto_join", auto_join)
if description is not None:
pulumi.set(__self__, "description", description)
if detach_all_users is not None:
pulumi.set(__self__, "detach_all_users", detach_all_users)
if external_id is not None:
pulumi.set(__self__, "external_id", external_id)
if name is not None:
pulumi.set(__self__, "name", name)
if policy_manager is not None:
pulumi.set(__self__, "policy_manager", policy_manager)
if realm is not None:
pulumi.set(__self__, "realm", realm)
if realm_attributes is not None:
pulumi.set(__self__, "realm_attributes", realm_attributes)
if reports_manager is not None:
pulumi.set(__self__, "reports_manager", reports_manager)
if users_names is not None:
pulumi.set(__self__, "users_names", users_names)
if watch_manager is not None:
pulumi.set(__self__, "watch_manager", watch_manager)
@property
@pulumi.getter(name="adminPrivileges")
def admin_privileges(self) -> Optional[pulumi.Input[bool]]:
"""
Any users added to this group will automatically be assigned with admin privileges in the system.
"""
return pulumi.get(self, "admin_privileges")
@admin_privileges.setter
def admin_privileges(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "admin_privileges", value)
@property
@pulumi.getter(name="autoJoin")
def auto_join(self) -> Optional[pulumi.Input[bool]]:
"""
When this parameter is set, any new users defined in the system are automatically assigned to this group.
"""
return pulumi.get(self, "auto_join")
@auto_join.setter
def auto_join(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "auto_join", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
A description for the group
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="detachAllUsers")
def detach_all_users(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, an empty or missing usernames array will detach all users from the group
"""
return pulumi.get(self, "detach_all_users")
@detach_all_users.setter
def detach_all_users(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "detach_all_users", value)
@property
@pulumi.getter(name="externalId")
def external_id(self) -> Optional[pulumi.Input[str]]:
"""
New external group ID used to configure the corresponding group in Azure AD.
"""
return pulumi.get(self, "external_id")
@external_id.setter
def external_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "external_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the group
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="policyManager")
def policy_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
"""
return pulumi.get(self, "policy_manager")
@policy_manager.setter
def policy_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "policy_manager", value)
@property
@pulumi.getter
def realm(self) -> Optional[pulumi.Input[str]]:
"""
The realm for the group.
"""
return pulumi.get(self, "realm")
@realm.setter
def realm(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "realm", value)
@property
@pulumi.getter(name="realmAttributes")
def realm_attributes(self) -> Optional[pulumi.Input[str]]:
"""
The realm attributes for the group.
"""
return pulumi.get(self, "realm_attributes")
@realm_attributes.setter
def realm_attributes(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "realm_attributes", value)
@property
@pulumi.getter(name="reportsManager")
def reports_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "reports_manager")
@reports_manager.setter
def reports_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "reports_manager", value)
@property
@pulumi.getter(name="usersNames")
def users_names(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of users assigned to the group. If missing or empty, tf will not manage group membership
"""
return pulumi.get(self, "users_names")
@users_names.setter
def users_names(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "users_names", value)
@property
@pulumi.getter(name="watchManager")
def watch_manager(self) -> Optional[pulumi.Input[bool]]:
"""
When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "watch_manager")
@watch_manager.setter
def watch_manager(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "watch_manager", value)
class Group(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
admin_privileges: Optional[pulumi.Input[bool]] = None,
auto_join: Optional[pulumi.Input[bool]] = None,
description: Optional[pulumi.Input[str]] = None,
detach_all_users: Optional[pulumi.Input[bool]] = None,
external_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
policy_manager: Optional[pulumi.Input[bool]] = None,
realm: Optional[pulumi.Input[str]] = None,
realm_attributes: Optional[pulumi.Input[str]] = None,
reports_manager: Optional[pulumi.Input[bool]] = None,
users_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
watch_manager: Optional[pulumi.Input[bool]] = None,
__props__=None):
"""
## Import
Groups can be imported using their name, e.g.
```sh
$ pulumi import artifactory:index/group:Group terraform-group mygroup
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[bool] admin_privileges: Any users added to this group will automatically be assigned with admin privileges in the system.
:param pulumi.Input[bool] auto_join: When this parameter is set, any new users defined in the system are automatically assigned to this group.
:param pulumi.Input[str] description: A description for the group
:param pulumi.Input[bool] detach_all_users: When this override is set, an empty or missing usernames array will detach all users from the group
:param pulumi.Input[str] external_id: New external group ID used to configure the corresponding group in Azure AD.
:param pulumi.Input[str] name: Name of the group
:param pulumi.Input[bool] policy_manager: When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
:param pulumi.Input[str] realm: The realm for the group.
:param pulumi.Input[str] realm_attributes: The realm attributes for the group.
:param pulumi.Input[bool] reports_manager: When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
:param pulumi.Input[Sequence[pulumi.Input[str]]] users_names: List of users assigned to the group. If missing or empty, tf will not manage group membership
:param pulumi.Input[bool] watch_manager: When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: Optional[GroupArgs] = None,
opts: Optional[pulumi.ResourceOptions] = None):
"""
## Import
Groups can be imported using their name, e.g.
```sh
$ pulumi import artifactory:index/group:Group terraform-group mygroup
```
:param str resource_name: The name of the resource.
:param GroupArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(GroupArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
admin_privileges: Optional[pulumi.Input[bool]] = None,
auto_join: Optional[pulumi.Input[bool]] = None,
description: Optional[pulumi.Input[str]] = None,
detach_all_users: Optional[pulumi.Input[bool]] = None,
external_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
policy_manager: Optional[pulumi.Input[bool]] = None,
realm: Optional[pulumi.Input[str]] = None,
realm_attributes: Optional[pulumi.Input[str]] = None,
reports_manager: Optional[pulumi.Input[bool]] = None,
users_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
watch_manager: Optional[pulumi.Input[bool]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = GroupArgs.__new__(GroupArgs)
__props__.__dict__["admin_privileges"] = admin_privileges
__props__.__dict__["auto_join"] = auto_join
__props__.__dict__["description"] = description
__props__.__dict__["detach_all_users"] = detach_all_users
__props__.__dict__["external_id"] = external_id
__props__.__dict__["name"] = name
__props__.__dict__["policy_manager"] = policy_manager
__props__.__dict__["realm"] = realm
__props__.__dict__["realm_attributes"] = realm_attributes
__props__.__dict__["reports_manager"] = reports_manager
__props__.__dict__["users_names"] = users_names
__props__.__dict__["watch_manager"] = watch_manager
super(Group, __self__).__init__(
'artifactory:index/group:Group',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
admin_privileges: Optional[pulumi.Input[bool]] = None,
auto_join: Optional[pulumi.Input[bool]] = None,
description: Optional[pulumi.Input[str]] = None,
detach_all_users: Optional[pulumi.Input[bool]] = None,
external_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
policy_manager: Optional[pulumi.Input[bool]] = None,
realm: Optional[pulumi.Input[str]] = None,
realm_attributes: Optional[pulumi.Input[str]] = None,
reports_manager: Optional[pulumi.Input[bool]] = None,
users_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
watch_manager: Optional[pulumi.Input[bool]] = None) -> 'Group':
"""
Get an existing Group resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[bool] admin_privileges: Any users added to this group will automatically be assigned with admin privileges in the system.
:param pulumi.Input[bool] auto_join: When this parameter is set, any new users defined in the system are automatically assigned to this group.
:param pulumi.Input[str] description: A description for the group
:param pulumi.Input[bool] detach_all_users: When this override is set, an empty or missing usernames array will detach all users from the group
:param pulumi.Input[str] external_id: New external group ID used to configure the corresponding group in Azure AD.
:param pulumi.Input[str] name: Name of the group
:param pulumi.Input[bool] policy_manager: When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
:param pulumi.Input[str] realm: The realm for the group.
:param pulumi.Input[str] realm_attributes: The realm attributes for the group.
:param pulumi.Input[bool] reports_manager: When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
:param pulumi.Input[Sequence[pulumi.Input[str]]] users_names: List of users assigned to the group. If missing or empty, tf will not manage group membership
:param pulumi.Input[bool] watch_manager: When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _GroupState.__new__(_GroupState)
__props__.__dict__["admin_privileges"] = admin_privileges
__props__.__dict__["auto_join"] = auto_join
__props__.__dict__["description"] = description
__props__.__dict__["detach_all_users"] = detach_all_users
__props__.__dict__["external_id"] = external_id
__props__.__dict__["name"] = name
__props__.__dict__["policy_manager"] = policy_manager
__props__.__dict__["realm"] = realm
__props__.__dict__["realm_attributes"] = realm_attributes
__props__.__dict__["reports_manager"] = reports_manager
__props__.__dict__["users_names"] = users_names
__props__.__dict__["watch_manager"] = watch_manager
return Group(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="adminPrivileges")
def admin_privileges(self) -> pulumi.Output[bool]:
"""
Any users added to this group will automatically be assigned with admin privileges in the system.
"""
return pulumi.get(self, "admin_privileges")
@property
@pulumi.getter(name="autoJoin")
def auto_join(self) -> pulumi.Output[bool]:
"""
When this parameter is set, any new users defined in the system are automatically assigned to this group.
"""
return pulumi.get(self, "auto_join")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
A description for the group
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="detachAllUsers")
def detach_all_users(self) -> pulumi.Output[Optional[bool]]:
"""
When this override is set, an empty or missing usernames array will detach all users from the group
"""
return pulumi.get(self, "detach_all_users")
@property
@pulumi.getter(name="externalId")
def external_id(self) -> pulumi.Output[Optional[str]]:
"""
New external group ID used to configure the corresponding group in Azure AD.
"""
return pulumi.get(self, "external_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the group
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="policyManager")
def policy_manager(self) -> pulumi.Output[Optional[bool]]:
"""
When this override is set, User in the group can set Xray security and compliance policies. Default value is 'false'.
"""
return pulumi.get(self, "policy_manager")
@property
@pulumi.getter
def realm(self) -> pulumi.Output[str]:
"""
The realm for the group.
"""
return pulumi.get(self, "realm")
@property
@pulumi.getter(name="realmAttributes")
def realm_attributes(self) -> pulumi.Output[Optional[str]]:
"""
The realm attributes for the group.
"""
return pulumi.get(self, "realm_attributes")
@property
@pulumi.getter(name="reportsManager")
def reports_manager(self) -> pulumi.Output[Optional[bool]]:
"""
When this override is set, User in the group can manage Xray Reports on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "reports_manager")
@property
@pulumi.getter(name="usersNames")
def users_names(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
List of users assigned to the group. If missing or empty, tf will not manage group membership
"""
return pulumi.get(self, "users_names")
@property
@pulumi.getter(name="watchManager")
def watch_manager(self) -> pulumi.Output[Optional[bool]]:
"""
When this override is set, User in the group can manage Xray Watches on any resource type. Default value is 'false'.
"""
return pulumi.get(self, "watch_manager")
| 45.644018 | 167 | 0.653636 | 3,820 | 30,901 | 5.092932 | 0.048429 | 0.097815 | 0.105474 | 0.06384 | 0.920894 | 0.912053 | 0.906862 | 0.902801 | 0.90018 | 0.879157 | 0 | 0.000043 | 0.245785 | 30,901 | 676 | 168 | 45.711538 | 0.834721 | 0.315362 | 0 | 0.871605 | 1 | 0 | 0.091777 | 0.001473 | 0 | 0 | 0 | 0 | 0 | 1 | 0.165432 | false | 0.002469 | 0.012346 | 0 | 0.276543 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
3e1339c560e663bc91c236ea2a83964c1aac0a08 | 146 | py | Python | apps/site/tests/test_site.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 9 | 2015-05-29T22:22:20.000Z | 2022-02-01T20:39:00.000Z | apps/site/tests/test_site.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 143 | 2015-01-22T15:03:40.000Z | 2020-06-27T01:55:29.000Z | apps/site/tests/test_site.py | LocalGround/localground | aa5a956afe7a84a7763a3b23d62a9fd925831cd7 | [
"Apache-2.0"
] | 5 | 2015-03-16T20:51:49.000Z | 2017-02-07T20:48:49.000Z | from localground.apps.site.api.tests import *
from localground.apps.site.tests.security import *
from localground.apps.site.tests.models import *
| 36.5 | 50 | 0.815068 | 21 | 146 | 5.666667 | 0.428571 | 0.378151 | 0.478992 | 0.579832 | 0.571429 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082192 | 146 | 3 | 51 | 48.666667 | 0.88806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
e41df3060987ac457151212f06f0752960aeee4a | 127 | py | Python | antiblock_scrapy_selenium/__init__.py | elvesrodrigues/antiblock_scrapy_selenium | 33dc40fc6e28af932f561227aa8bedcdc96ff19b | [
"MIT"
] | 1 | 2021-05-06T14:28:48.000Z | 2021-05-06T14:28:48.000Z | antiblock_scrapy_selenium/__init__.py | elvesrodrigues/antiblock-scrapy-selenium | 33dc40fc6e28af932f561227aa8bedcdc96ff19b | [
"MIT"
] | null | null | null | antiblock_scrapy_selenium/__init__.py | elvesrodrigues/antiblock-scrapy-selenium | 33dc40fc6e28af932f561227aa8bedcdc96ff19b | [
"MIT"
] | null | null | null | from antiblock_scrapy_selenium.middlewares import SeleniumMiddleware
from antiblock_scrapy_selenium.http import SeleniumRequest | 63.5 | 68 | 0.929134 | 14 | 127 | 8.142857 | 0.642857 | 0.22807 | 0.333333 | 0.473684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055118 | 127 | 2 | 69 | 63.5 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
e4d8148e8b13592c9224ecb2ba594231cd63ee58 | 4,192 | py | Python | tests/fields/test_constructors.py | BK-Modding/galois | 5da4db84d90083e337ebe2c1838df5c6db88fd3f | [
"MIT"
] | null | null | null | tests/fields/test_constructors.py | BK-Modding/galois | 5da4db84d90083e337ebe2c1838df5c6db88fd3f | [
"MIT"
] | null | null | null | tests/fields/test_constructors.py | BK-Modding/galois | 5da4db84d90083e337ebe2c1838df5c6db88fd3f | [
"MIT"
] | null | null | null | """
A pytest module to test instantiation of new Galois field arrays through alternate constructors.
"""
import random
import pytest
import numpy as np
import galois
DTYPES = galois.dtypes.DTYPES + [np.object_]
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_zeros(field, shape):
a = field.Zeros(shape)
assert np.all(a == 0)
assert type(a) is field
assert a.dtype == field.dtypes[0]
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_zeros_valid_dtype(field, shape):
dtype = valid_dtype(field)
a = field.Zeros(shape, dtype=dtype)
assert np.all(a == 0)
assert type(a) is field
assert a.dtype == dtype
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_zeros_invalid_dtype(field, shape):
dtype = invalid_dtype(field)
with pytest.raises(TypeError):
a = field.Zeros(shape, dtype=dtype)
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_ones(field, shape):
a = field.Ones(shape)
assert np.all(a == 1)
assert type(a) is field
assert a.dtype == field.dtypes[0]
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_ones_valid_dtype(field, shape):
dtype = valid_dtype(field)
a = field.Ones(shape, dtype=dtype)
assert np.all(a == 1)
assert type(a) is field
assert a.dtype == dtype
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_ones_invalid_dtype(field, shape):
dtype = invalid_dtype(field)
with pytest.raises(TypeError):
a = field.Ones(shape, dtype=dtype)
def test_eye(field):
size = 4
a = field.Identity(size)
for i in range(size):
for j in range(size):
assert a[i,j] == 1 if i == j else a[i,j] == 0
assert type(a) is field
assert a.dtype == field.dtypes[0]
assert a.shape == (size,size)
def test_eye_valid_dtype(field):
dtype = valid_dtype(field)
size = 4
a = field.Identity(size, dtype=dtype)
for i in range(size):
for j in range(size):
assert a[i,j] == 1 if i == j else a[i,j] == 0
assert type(a) is field
assert a.dtype == dtype
assert a.shape == (size,size)
def test_eye_invalid_dtype(field):
dtype = invalid_dtype(field)
size = 4
with pytest.raises(TypeError):
a = field.Identity(size, dtype=dtype)
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_random(field, shape):
a = field.Random(shape)
assert np.all(a >= 0) and np.all(a < field.order)
assert type(a) is field
assert a.dtype == field.dtypes[0]
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_random_valid_dtype(field, shape):
dtype = valid_dtype(field)
a = field.Random(shape, dtype=dtype)
assert np.all(a >= 0) and np.all(a < field.order)
assert type(a) is field
assert a.dtype == dtype
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_random_invalid_dtype(field, shape):
dtype = invalid_dtype(field)
with pytest.raises(TypeError):
a = field.Random(shape, dtype=dtype)
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_vector_valid_dtype(field, shape):
v_dtype = valid_dtype(field.prime_subfield)
v_shape = list(shape) + [field.degree]
v = field.prime_subfield.Random(v_shape, dtype=v_dtype)
dtype = valid_dtype(field)
a = field.Vector(v, dtype=dtype)
assert np.all(a >= 0) and np.all(a < field.order)
assert type(a) is field
assert a.dtype == dtype
assert a.shape == shape
@pytest.mark.parametrize("shape", [(), (4,), (4,4)])
def test_vector_invalid_dtype(field, shape):
v_dtype = valid_dtype(field.prime_subfield)
v_shape = list(shape) + [field.degree]
v = field.prime_subfield.Random(v_shape, dtype=v_dtype)
dtype = invalid_dtype(field)
with pytest.raises(TypeError):
a = field.Vector(v, dtype=dtype)
def valid_dtype(field):
return random.choice(field.dtypes)
def invalid_dtype(field):
return random.choice([dtype for dtype in DTYPES if dtype not in field.dtypes])
| 27.761589 | 96 | 0.645277 | 635 | 4,192 | 4.16378 | 0.096063 | 0.1059 | 0.073752 | 0.108169 | 0.849849 | 0.826778 | 0.768911 | 0.742057 | 0.720877 | 0.720877 | 0 | 0.015228 | 0.201097 | 4,192 | 150 | 97 | 27.946667 | 0.774261 | 0.022901 | 0 | 0.758929 | 0 | 0 | 0.013454 | 0 | 0 | 0 | 0 | 0 | 0.321429 | 1 | 0.142857 | false | 0 | 0.035714 | 0.017857 | 0.196429 | 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 |
5f8944d678eee0c5c5ac918076a03c9ccea52df7 | 37 | py | Python | easy_init/__init__.py | ebrush/easy_init | f7aee08d04390d02819cd73c27f0432170bd4239 | [
"MIT"
] | null | null | null | easy_init/__init__.py | ebrush/easy_init | f7aee08d04390d02819cd73c27f0432170bd4239 | [
"MIT"
] | null | null | null | easy_init/__init__.py | ebrush/easy_init | f7aee08d04390d02819cd73c27f0432170bd4239 | [
"MIT"
] | null | null | null | from easy_init.easy_init import init
| 18.5 | 36 | 0.864865 | 7 | 37 | 4.285714 | 0.571429 | 0.533333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108108 | 37 | 1 | 37 | 37 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 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 |
5f8ccb16757c4eb69a95fcbc6b250afc656d0985 | 18,882 | py | Python | src/models/CNNArchitectures.py | ianscottknight/leaf-count | bfefadfdb6aaab141d526ad3bbdfc5f89138c60c | [
"FTL"
] | null | null | null | src/models/CNNArchitectures.py | ianscottknight/leaf-count | bfefadfdb6aaab141d526ad3bbdfc5f89138c60c | [
"FTL"
] | null | null | null | src/models/CNNArchitectures.py | ianscottknight/leaf-count | bfefadfdb6aaab141d526ad3bbdfc5f89138c60c | [
"FTL"
] | 3 | 2021-01-28T19:55:59.000Z | 2022-03-19T06:12:57.000Z | #!/usr/bin/env python
# coding: utf-8
import numpy as np
import os
import csv
import datetime
import pickle
from PIL import Image
import torch
import torch.nn as nn
from torch.utils.data import DataLoader, Dataset
from torchvision import transforms
class Conv4Net_1Channel_Narrow(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(1, 16, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(16),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(64, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(16384, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv4Net_1Channel_Wide(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(1, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(32768, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv5Net_1Channel_Narrow(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(1, 16, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(16),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(8192, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv5Net_1Channel_Wide(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(1, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(128, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(16384, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv5Net_3Channel_Narrow(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 16, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(16),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(8192, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv5Net_3Channel_Wide(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(128, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(16384, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv6Net_3Channel_Narrow(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 16, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(16),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer6 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(2048, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = self.layer6(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv6Net_3Channel_Wide(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(128, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer6 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(4096, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = self.layer6(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv7Net_3Channel_Narrow(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 16, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(16),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer6 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer7 = nn.Sequential(
nn.Conv2d(128, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(512, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = self.layer6(out)
out = self.layer7(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
class Conv7Net_3Channel_Wide(nn.Module):
def __init__(self, dropout):
super().__init__()
self.layer1 = nn.Sequential(
nn.Conv2d(3, 32, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(32),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer2 = nn.Sequential(
nn.Conv2d(32, 64, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(64),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer3 = nn.Sequential(
nn.Conv2d(64, 128, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(128),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer4 = nn.Sequential(
nn.Conv2d(128, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer5 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer6 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.MaxPool2d(kernel_size=2, stride=2))
self.layer7 = nn.Sequential(
nn.Conv2d(256, 256, kernel_size=5, stride=1, padding=2),
nn.BatchNorm2d(256),
nn.ReLU(),
nn.AvgPool2d(kernel_size=2, stride=2))
self.fc1 = nn.Linear(1024, 2000)
self.dropout1 = nn.Dropout(dropout)
self.fc2 = nn.Linear(2000, 100)
self.dropout2 = nn.Dropout(dropout)
self.fc3 = nn.Linear(100, 1)
def forward(self, x):
out = self.layer1(x)
out = self.layer2(out)
out = self.layer3(out)
out = self.layer4(out)
out = self.layer5(out)
out = self.layer6(out)
out = self.layer7(out)
out = out.reshape(out.size(0), -1)
out = self.fc1(out)
out = self.dropout1(out)
out = self.fc2(out)
out = self.dropout2(out)
out = self.fc3(out)
return out
| 35.761364 | 68 | 0.544487 | 2,445 | 18,882 | 4.119836 | 0.035992 | 0.107217 | 0.073464 | 0.107217 | 0.975975 | 0.975975 | 0.975975 | 0.975975 | 0.975975 | 0.975975 | 0 | 0.098143 | 0.318451 | 18,882 | 527 | 69 | 35.829222 | 0.684591 | 0.001801 | 0 | 0.947368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040486 | false | 0 | 0.020243 | 0 | 0.101215 | 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 |
5fc42731ddf921ff76427364c81780a0e982f2eb | 137 | py | Python | httpx_cache/cache/__init__.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 16 | 2021-12-13T01:27:44.000Z | 2022-02-28T02:58:46.000Z | httpx_cache/cache/__init__.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 23 | 2022-01-03T15:57:39.000Z | 2022-03-28T22:25:08.000Z | httpx_cache/cache/__init__.py | obendidi/httpx-cache | 897dd8da5bb377ed7f61b367716976bdc0d581b1 | [
"BSD-3-Clause"
] | 2 | 2022-01-21T17:57:19.000Z | 2022-01-21T18:18:47.000Z | from httpx_cache.cache.base import BaseCache
from httpx_cache.cache.file import FileCache
from httpx_cache.cache.memory import DictCache
| 34.25 | 46 | 0.868613 | 21 | 137 | 5.52381 | 0.47619 | 0.232759 | 0.362069 | 0.491379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087591 | 137 | 3 | 47 | 45.666667 | 0.928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
5fc63394adaa20a4574067b3804aa88bbc0a7777 | 114,525 | py | Python | code/python/FactSetEstimatesReportBuilder/v1/fds/sdk/FactSetEstimatesReportBuilder/api/all_estimates_api.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 6 | 2022-02-07T16:34:18.000Z | 2022-03-30T08:04:57.000Z | code/python/FactSetEstimatesReportBuilder/v1/fds/sdk/FactSetEstimatesReportBuilder/api/all_estimates_api.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | 2 | 2022-02-07T05:25:57.000Z | 2022-03-07T14:18:04.000Z | code/python/FactSetEstimatesReportBuilder/v1/fds/sdk/FactSetEstimatesReportBuilder/api/all_estimates_api.py | factset/enterprise-sdk | 3fd4d1360756c515c9737a0c9a992c7451d7de7e | [
"Apache-2.0"
] | null | null | null | """
FactSet Estimates Report Builder
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 1.0.0
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from multiprocessing.pool import ApplyResult
import typing
from fds.sdk.FactSetEstimatesReportBuilder.api_client import ApiClient, Endpoint as _Endpoint
from fds.sdk.FactSetEstimatesReportBuilder.model_utils import ( # noqa: F401
check_allowed_values,
check_validations,
date,
datetime,
file_type,
none_type,
validate_and_convert_types
)
from fds.sdk.FactSetEstimatesReportBuilder.exceptions import ApiException
from fds.sdk.FactSetEstimatesReportBuilder.model.error_response import ErrorResponse
from fds.sdk.FactSetEstimatesReportBuilder.model.response import Response
class AllEstimatesApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
self.get_estimates_balance_sheet_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/balance-sheet',
'operation_id': 'get_estimates_balance_sheet',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_cash_flow_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/cash-flow',
'operation_id': 'get_estimates_cash_flow',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_geographic_segments_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/geographic-segments',
'operation_id': 'get_estimates_geographic_segments',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_income_statement_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/income-statement',
'operation_id': 'get_estimates_income_statement',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_industry_metrics_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/industry-metrics',
'operation_id': 'get_estimates_industry_metrics',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_per_share_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/per-share',
'operation_id': 'get_estimates_per_share',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_product_segments_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/product-segments',
'operation_id': 'get_estimates_product_segments',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
self.get_estimates_valuation_endpoint = _Endpoint(
settings={
'response_type': (
{ 200: (Response,), 400: (ErrorResponse,), 403: (ErrorResponse,), 404: (ErrorResponse,), 500: (ErrorResponse,), },
None
),
'auth': [
'FactSetApiKey',
'FactSetOAuth2'
],
'endpoint_path': '/valuation',
'operation_id': 'get_estimates_valuation',
'http_method': 'GET',
'servers': None,
},
params_map={
'all': [
'id',
'periodicity',
'schema',
],
'required': [
'id',
],
'nullable': [
],
'enum': [
'periodicity',
'schema',
],
'validation': [
]
},
root_map={
'validations': {
},
'allowed_values': {
('periodicity',): {
"ANN": "ANN",
"QTR": "QTR",
"SEMI": "SEMI",
"CAL": "CAL"
},
('schema',): {
"GROUP_LEVEL": "table_group_level",
"PARENT_CHILD_COLUMNS": "table_parent_child_columns"
},
},
'openapi_types': {
'id':
(str,),
'periodicity':
(str,),
'schema':
(str,),
},
'attribute_map': {
'id': 'id',
'periodicity': 'periodicity',
'schema': 'schema',
},
'location_map': {
'id': 'query',
'periodicity': 'query',
'schema': 'query',
},
'collection_format_map': {
}
},
headers_map={
'accept': [
'application/json'
],
'content_type': [],
},
api_client=api_client
)
@staticmethod
def apply_kwargs_defaults(kwargs, return_http_data_only, async_req):
kwargs["async_req"] = async_req
kwargs["_return_http_data_only"] = return_http_data_only
kwargs["_preload_content"] = kwargs.get("_preload_content", True)
kwargs["_request_timeout"] = kwargs.get("_request_timeout", None)
kwargs["_check_input_type"] = kwargs.get("_check_input_type", True)
kwargs["_check_return_type"] = kwargs.get("_check_return_type", True)
kwargs["_spec_property_naming"] = kwargs.get("_spec_property_naming", False)
kwargs["_content_type"] = kwargs.get("_content_type")
kwargs["_host_index"] = kwargs.get("_host_index")
def get_estimates_balance_sheet(
self,
id,
**kwargs
) -> Response:
"""Balance Sheet # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Balance Sheet line items. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_balance_sheet_endpoint.call_with_http_info(**kwargs)
def get_estimates_balance_sheet_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Balance Sheet # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Balance Sheet line items. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_balance_sheet_endpoint.call_with_http_info(**kwargs)
def get_estimates_balance_sheet_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Balance Sheet # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Balance Sheet line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_balance_sheet_endpoint.call_with_http_info(**kwargs)
def get_estimates_balance_sheet_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Balance Sheet # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Balance Sheet line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_balance_sheet_endpoint.call_with_http_info(**kwargs)
def get_estimates_cash_flow(
self,
id,
**kwargs
) -> Response:
"""Cash Flow # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Cash Flow line items. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_cash_flow_endpoint.call_with_http_info(**kwargs)
def get_estimates_cash_flow_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Cash Flow # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Cash Flow line items. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_cash_flow_endpoint.call_with_http_info(**kwargs)
def get_estimates_cash_flow_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Cash Flow # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Cash Flow line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_cash_flow_endpoint.call_with_http_info(**kwargs)
def get_estimates_cash_flow_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Cash Flow # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Cash Flow line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_cash_flow_endpoint.call_with_http_info(**kwargs)
def get_estimates_geographic_segments(
self,
id,
**kwargs
) -> Response:
"""Geographic Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down geographically. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_geographic_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_geographic_segments_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Geographic Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down geographically. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_geographic_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_geographic_segments_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Geographic Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down geographically. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_geographic_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_geographic_segments_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Geographic Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down geographically. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_geographic_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_income_statement(
self,
id,
**kwargs
) -> Response:
"""Income Statement # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Income Statement line items. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_income_statement_endpoint.call_with_http_info(**kwargs)
def get_estimates_income_statement_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Income Statement # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Income Statement line items. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_income_statement_endpoint.call_with_http_info(**kwargs)
def get_estimates_income_statement_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Income Statement # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Income Statement line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_income_statement_endpoint.call_with_http_info(**kwargs)
def get_estimates_income_statement_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Income Statement # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Income Statement line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_income_statement_endpoint.call_with_http_info(**kwargs)
def get_estimates_industry_metrics(
self,
id,
**kwargs
) -> Response:
"""Industry Metrics # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for industry-specific metrics. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_industry_metrics_endpoint.call_with_http_info(**kwargs)
def get_estimates_industry_metrics_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Industry Metrics # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for industry-specific metrics. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_industry_metrics_endpoint.call_with_http_info(**kwargs)
def get_estimates_industry_metrics_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Industry Metrics # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for industry-specific metrics. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_industry_metrics_endpoint.call_with_http_info(**kwargs)
def get_estimates_industry_metrics_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Industry Metrics # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for industry-specific metrics. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_industry_metrics_endpoint.call_with_http_info(**kwargs)
def get_estimates_per_share(
self,
id,
**kwargs
) -> Response:
"""Per Share # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Per Share line items. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_per_share_endpoint.call_with_http_info(**kwargs)
def get_estimates_per_share_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Per Share # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Per Share line items. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_per_share_endpoint.call_with_http_info(**kwargs)
def get_estimates_per_share_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Per Share # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Per Share line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_per_share_endpoint.call_with_http_info(**kwargs)
def get_estimates_per_share_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Per Share # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for Per Share line items. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_per_share_endpoint.call_with_http_info(**kwargs)
def get_estimates_product_segments(
self,
id,
**kwargs
) -> Response:
"""Product Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down by product and business. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_product_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_product_segments_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Product Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down by product and business. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_product_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_product_segments_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Product Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down by product and business. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_product_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_product_segments_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Product Segments # noqa: E501
Returns historical and future period broker estimate consensus in a statement format for line items broken down by product and business. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_product_segments_endpoint.call_with_http_info(**kwargs)
def get_estimates_valuation(
self,
id,
**kwargs
) -> Response:
"""Valuation # noqa: E501
Returns valuation ratios in a statement format calculated from historical and future period broker estimate consensus. # noqa: E501
This method makes a synchronous HTTP request. Returns the http data only
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_valuation_endpoint.call_with_http_info(**kwargs)
def get_estimates_valuation_with_http_info(
self,
id,
**kwargs
) -> typing.Tuple[Response, int, typing.MutableMapping]:
"""Valuation # noqa: E501
Returns valuation ratios in a statement format calculated from historical and future period broker estimate consensus. # noqa: E501
This method makes a synchronous HTTP request. Returns http data, http status and headers
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
Response
Response Object
int
Http Status Code
dict
Dictionary of the response headers
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=False)
kwargs['id'] = \
id
return self.get_estimates_valuation_endpoint.call_with_http_info(**kwargs)
def get_estimates_valuation_async(
self,
id,
**kwargs
) -> "ApplyResult[Response]":
"""Valuation # noqa: E501
Returns valuation ratios in a statement format calculated from historical and future period broker estimate consensus. # noqa: E501
This method makes a asynchronous HTTP request. Returns the http data, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[Response]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=True, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_valuation_endpoint.call_with_http_info(**kwargs)
def get_estimates_valuation_with_http_info_async(
self,
id,
**kwargs
) -> "ApplyResult[typing.Tuple[Response, int, typing.MutableMapping]]":
"""Valuation # noqa: E501
Returns valuation ratios in a statement format calculated from historical and future period broker estimate consensus. # noqa: E501
This method makes a asynchronous HTTP request. Returns http data, http status and headers, wrapped in ApplyResult
Args:
id (str): Company Ticker
Keyword Args:
periodicity (str): Periodicity or frequency of the fiscal periods.. [optional] if omitted the server will use the default value of "ANN"
schema (str): The schema that the data is returned as. The following are descriptions for the accepted values: - table_group_level - STACH 2.0 row organized package format with parent-child relationships represented using STACH group level cell metadata - table_parent_child_columns - STACH 2.0 row organized package format with parent-child relationships represented using STACH parent-child columns . [optional] if omitted the server will use the default value of "table_parent_child_columns"
_preload_content (bool): if False, the urllib3.HTTPResponse object
will be returned without reading/decoding response data.
Default is True.
_request_timeout (int/float/tuple): timeout setting for this request. If
one number provided, it will be total request timeout. It can also
be a pair (tuple) of (connection, read) timeouts.
Default is None.
_check_input_type (bool): specifies if type checking
should be done one the data sent to the server.
Default is True.
_check_return_type (bool): specifies if type checking
should be done one the data received from the server.
Default is True.
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_content_type (str/None): force body content-type.
Default is None and content-type will be predicted by allowed
content-types and body.
_host_index (int/None): specifies the index of the server
that we want to use.
Default is read from the configuration.
Returns:
ApplyResult[(Response, int, typing.Dict)]
"""
self.apply_kwargs_defaults(kwargs=kwargs, return_http_data_only=False, async_req=True)
kwargs['id'] = \
id
return self.get_estimates_valuation_endpoint.call_with_http_info(**kwargs)
| 51.081624 | 506 | 0.592805 | 12,977 | 114,525 | 5.101256 | 0.020267 | 0.026103 | 0.030454 | 0.025015 | 0.976571 | 0.972009 | 0.968338 | 0.966978 | 0.966978 | 0.966978 | 0 | 0.006604 | 0.34547 | 114,525 | 2,241 | 507 | 51.104418 | 0.876521 | 0.630168 | 0 | 0.785486 | 1 | 0 | 0.156612 | 0.038545 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036286 | false | 0 | 0.009605 | 0 | 0.08111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
39e018a0f90109112738197bb40a69395d5ae60d | 11,317 | py | Python | ScienceVisuals/MapGraph/Scripts/plot_hadisst2_montly.py | XinZhou90D/ClimatePython | 6634d60c620c77a48245d6a8de0eba8ce599a7e3 | [
"MIT"
] | 27 | 2018-09-14T03:57:01.000Z | 2022-03-23T16:58:57.000Z | ScienceVisuals/MapGraph/Scripts/plot_hadisst2_montly.py | zmlabe/ClimatePython | 149fe38dc91a3580cbb5711db63c94340f643304 | [
"MIT"
] | null | null | null | ScienceVisuals/MapGraph/Scripts/plot_hadisst2_montly.py | zmlabe/ClimatePython | 149fe38dc91a3580cbb5711db63c94340f643304 | [
"MIT"
] | 10 | 2019-02-02T09:59:40.000Z | 2022-02-21T12:33:12.000Z | """
HadISST2 plot of a particularly month time series
Website : http://apps.ecmwf.int/data-catalogues/era5/?class=ea
Author : Zachary M. Labe
Date : 30 March 2018
"""
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, addcyclic, shiftgrid
import numpy as np
import datetime
import cmocean
### Define constants
directorydata = '/home/zlabe/dataall/SST/HadISST2/ERA5/'
directoryfigure = '/home/zlabe/Documents/Projects/ClimatePython/' \
'ScienceVisuals/MapGraph/Figures/'
now = datetime.datetime.now()
month = now.month
filename = directorydata + 'SST_ERA5.nc'
data = Dataset(filename)
lats = data.variables['latitude'][:]
lons = data.variables['longitude'][:]
var = data.variables['sst'][5,:,:]
data.close()
years = np.arange(2010,2017+1,1)
yearsq = np.repeat(years,12)
#### Convert
var = var - 273.15
### Define parameters (dark)
def setcolor(x, color):
for m in x:
for t in x[m][1]:
t.set_color(color)
###############################################################################
###############################################################################
###############################################################################
### Define figure 1
#plt.rc('text',usetex=True)
#plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
plt.rc('savefig',facecolor='black')
plt.rc('axes',edgecolor='k')
plt.rc('xtick',color='white')
plt.rc('ytick',color='white')
plt.rc('axes',labelcolor='white')
plt.rc('axes',facecolor='black')
m = Basemap(projection='merc',llcrnrlat=-84,urcrnrlat=84,\
llcrnrlon=-180,urcrnrlon=180,lat_ts=20,resolution='l')
fig = plt.figure()
ax = plt.subplot(111)
for txt in fig.texts:
txt.set_visible(False)
m.drawmapboundary(fill_color='k')
m.drawlsmask(land_color='w',ocean_color='k')
m.drawcoastlines(color='k',linewidth=0.4)
# Make the plot continuous
barlim = np.arange(0,32,30)
var, lons_cyclic = addcyclic(var, lons)
var, lons_cyclic = shiftgrid(180., var, lons_cyclic, start=False)
lon2d, lat2d = np.meshgrid(lons_cyclic, lats)
x, y = m(lon2d, lat2d)
cs = m.contourf(x,y,var,np.arange(-1.8,31.5,2),
extend='both',
alpha=1)
cs.set_cmap('jet')
t5 = plt.annotate(r'Sea Surface Temperature',
textcoords='axes fraction',
xy=(0,0),xytext=(.5,-0.07),
fontsize=16,color='w',alpha=1,rotation=0,
va='center',ha='center')
# t6 = plt.annotate(r'\textbf{$\bf{^\circ}$\textbf{C}}',
# textcoords='axes fraction',
# xy=(0,0), xytext=(.78,-0.164),
# fontsize=15,color='w',alpha=1,rotation=0,va='center',ha='center')
m.fillcontinents(color='w')
cbar = plt.colorbar(cs,drawedges=False,orientation='horizontal',pad = 0.1,
fraction=0.035)
cbar.set_ticks(barlim)
cbar.set_ticklabels(list(map(str,barlim)))
cbar.ax.tick_params(axis='x', size=.01)
cbar.ax.tick_params(labelsize=6)
plt.savefig(directoryfigure + 'sst_01.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Define figure 2
#plt.rc('text',usetex=True)
#plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
plt.rc('savefig',facecolor='black')
plt.rc('axes',edgecolor='k')
plt.rc('xtick',color='white')
plt.rc('ytick',color='white')
plt.rc('axes',labelcolor='white')
plt.rc('axes',facecolor='black')
m = Basemap(projection='robin',lon_0=0,resolution='l')
fig = plt.figure()
ax = plt.subplot(111)
for txt in fig.texts:
txt.set_visible(False)
m.drawmapboundary(fill_color='k')
m.drawlsmask(land_color='w',ocean_color='k')
m.drawcoastlines(color='k',linewidth=0.4)
# Make the plot continuous
barlim = np.arange(0,32,30)
var, lons_cyclic = addcyclic(var, lons)
var, lons_cyclic = shiftgrid(180., var, lons_cyclic, start=False)
lon2d, lat2d = np.meshgrid(lons_cyclic, lats)
x, y = m(lon2d, lat2d)
cs = m.contourf(x,y,var,np.arange(-1.8,31.5,0.2),
extend='both',
alpha=1)
cs.set_cmap('jet')
t5 = plt.annotate(r'Sea Surface Temperature',
textcoords='axes fraction',
xy=(0,0),xytext=(.5,-0.07),
fontsize=16,color='w',alpha=1,rotation=0,
va='center',ha='center')
# t6 = plt.annotate(r'\textbf{$\bf{^\circ}$\textbf{C}}',
# textcoords='axes fraction',
# xy=(0,0), xytext=(.78,-0.164),
# fontsize=15,color='w',alpha=1,rotation=0,va='center',ha='center')
m.fillcontinents(color='k')
cbar = plt.colorbar(cs,drawedges=False,orientation='horizontal',pad = 0.1,
fraction=0.035)
cbar.set_ticks(barlim)
cbar.set_ticklabels(list(map(str,barlim)))
cbar.ax.tick_params(axis='x', size=.01)
cbar.ax.tick_params(labelsize=6)
plt.savefig(directoryfigure + 'sst_02.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Define figure 3
plt.rc('text',usetex=True)
plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
plt.rc('savefig',facecolor='black')
plt.rc('axes',edgecolor='k')
plt.rc('xtick',color='darkgrey')
plt.rc('ytick',color='darkgrey')
plt.rc('axes',labelcolor='darkgrey')
plt.rc('axes',facecolor='black')
m = Basemap(projection='robin',lon_0=0,resolution='l')
fig = plt.figure()
ax = plt.subplot(111)
for txt in fig.texts:
txt.set_visible(False)
m.drawmapboundary(fill_color='k')
m.drawlsmask(land_color='w',ocean_color='k')
m.drawcoastlines(color='k',linewidth=0.4)
# Make the plot continuous
barlim = np.arange(0,32,30)
var, lons_cyclic = addcyclic(var, lons)
var, lons_cyclic = shiftgrid(180., var, lons_cyclic, start=False)
lon2d, lat2d = np.meshgrid(lons_cyclic, lats)
x, y = m(lon2d, lat2d)
cs = m.contourf(x,y,var,np.arange(-1.8,31.5,0.2),
extend='both',
alpha=1)
cs.set_cmap('jet')
t5 = plt.annotate(r'\textbf{SEA SURFACE TEMPERATURE}',
textcoords='axes fraction',
xy=(0,0),xytext=(.5,-0.07),
fontsize=16,color='darkgrey',alpha=1,rotation=0,
va='center',ha='center')
t6 = plt.annotate(r'\textbf{$\bf{^\circ}$\textbf{C}}',
textcoords='axes fraction',
xy=(0,0), xytext=(.78,-0.164),
fontsize=15,color='darkgrey',alpha=1,rotation=0,va='center',ha='center')
m.fillcontinents(color='k')
cbar = plt.colorbar(cs,drawedges=False,orientation='horizontal',pad = 0.1,
fraction=0.035)
cbar.set_ticks(barlim)
cbar.set_ticklabels(list(map(str,barlim)))
cbar.ax.tick_params(axis='x', size=.01)
cbar.ax.tick_params(labelsize=11)
plt.savefig(directoryfigure + 'sst_03.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Define figure 4
plt.rc('text',usetex=True)
plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
plt.rc('savefig',facecolor='black')
plt.rc('axes',edgecolor='k')
plt.rc('xtick',color='darkgrey')
plt.rc('ytick',color='darkgrey')
plt.rc('axes',labelcolor='darkgrey')
plt.rc('axes',facecolor='black')
m = Basemap(projection='robin',lon_0=0,resolution='l')
fig = plt.figure()
ax = plt.subplot(111)
for txt in fig.texts:
txt.set_visible(False)
m.drawmapboundary(fill_color='k')
m.drawlsmask(land_color='w',ocean_color='k')
m.drawcoastlines(color='k',linewidth=0.4)
# Make the plot continuous
barlim = np.arange(0,32,30)
var, lons_cyclic = addcyclic(var, lons)
var, lons_cyclic = shiftgrid(180., var, lons_cyclic, start=False)
lon2d, lat2d = np.meshgrid(lons_cyclic, lats)
x, y = m(lon2d, lat2d)
cs = m.contourf(x,y,var,np.arange(-1.8,31.5,0.2),
extend='both',
alpha=1)
cs.set_cmap(cmocean.cm.thermal)
t5 = plt.annotate(r'\textbf{SEA SURFACE TEMPERATURE}',
textcoords='axes fraction',
xy=(0,0),xytext=(.5,-0.07),
fontsize=16,color='darkgrey',alpha=1,rotation=0,
va='center',ha='center')
t6 = plt.annotate(r'\textbf{$\bf{^\circ}$\textbf{C}}',
textcoords='axes fraction',
xy=(0,0), xytext=(.78,-0.164),
fontsize=15,color='darkgrey',alpha=1,rotation=0,va='center',ha='center')
m.fillcontinents(color='k')
cbar = plt.colorbar(cs,drawedges=False,orientation='horizontal',pad = 0.1,
fraction=0.035)
cbar.set_ticks(barlim)
cbar.set_ticklabels(list(map(str,barlim)))
cbar.ax.tick_params(axis='x', size=.01)
cbar.ax.tick_params(labelsize=11)
plt.savefig(directoryfigure + 'sst_04.png',dpi=300)
###############################################################################
###############################################################################
###############################################################################
### Define figure 5
plt.rc('text',usetex=True)
plt.rc('font',**{'family':'sans-serif','sans-serif':['Avant Garde']})
plt.rc('savefig',facecolor='black')
plt.rc('axes',edgecolor='k')
plt.rc('xtick',color='darkgrey')
plt.rc('ytick',color='darkgrey')
plt.rc('axes',labelcolor='darkgrey')
plt.rc('axes',facecolor='black')
m = Basemap(projection='moll',lon_0=0,resolution='l',area_thresh=10000)
fig = plt.figure()
ax = plt.subplot(111)
for txt in fig.texts:
txt.set_visible(False)
m.drawmapboundary(fill_color='k')
m.drawlsmask(land_color='k',ocean_color='k')
m.drawcoastlines(color='k',linewidth=0.4)
# Make the plot continuous
barlim = np.arange(0,32,30)
var, lons_cyclic = addcyclic(var, lons)
var, lons_cyclic = shiftgrid(180., var, lons_cyclic, start=False)
lon2d, lat2d = np.meshgrid(lons_cyclic, lats)
x, y = m(lon2d, lat2d)
cs = m.contourf(x,y,var,np.arange(-1.8,31.5,0.2),
extend='both',
alpha=1)
cs.set_cmap(cmocean.cm.thermal)
t5 = plt.annotate(r'\textbf{SEA SURFACE TEMPERATURE}',
textcoords='axes fraction',
xy=(0,0),xytext=(.5,-0.07),
fontsize=16,color='darkgrey',alpha=1,rotation=0,
va='center',ha='center')
t6 = plt.annotate(r'\textbf{$\bf{^\circ}$\textbf{C}}',
textcoords='axes fraction',
xy=(0,0), xytext=(.78,-0.164),
fontsize=15,color='darkgrey',alpha=1,rotation=0,va='center',ha='center')
m.fillcontinents(color='k')
cbar = plt.colorbar(cs,drawedges=False,orientation='horizontal',pad = 0.1,
fraction=0.035)
cbar.set_ticks(barlim)
cbar.set_ticklabels(list(map(str,barlim)))
cbar.ax.tick_params(axis='x', size=.01)
cbar.ax.tick_params(labelsize=11)
plt.savefig(directoryfigure + 'sst_05.png',dpi=300) | 33.482249 | 84 | 0.565874 | 1,474 | 11,317 | 4.291045 | 0.151967 | 0.031621 | 0.021344 | 0.037945 | 0.870672 | 0.854862 | 0.854862 | 0.854862 | 0.854862 | 0.854862 | 0 | 0.039748 | 0.159671 | 11,317 | 338 | 85 | 33.482249 | 0.625342 | 0.093753 | 0 | 0.843049 | 0 | 0 | 0.139421 | 0.023385 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004484 | false | 0 | 0.026906 | 0 | 0.03139 | 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 |
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