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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b9898f50f0778509377bedca834b741159dd1fa9
| 45,872
|
py
|
Python
|
openprocurement/audit/monitoring/tests/test_document.py
|
ProzorroUKR/openprocurement.audit.api
|
a17836e29bca28d9151c091e1d2e42de9f70b949
|
[
"Apache-2.0"
] | 1
|
2018-05-21T08:14:55.000Z
|
2018-05-21T08:14:55.000Z
|
openprocurement/audit/monitoring/tests/test_document.py
|
ProzorroUKR/openprocurement.audit.api
|
a17836e29bca28d9151c091e1d2e42de9f70b949
|
[
"Apache-2.0"
] | 59
|
2018-05-18T02:09:47.000Z
|
2019-05-29T12:10:06.000Z
|
openprocurement/audit/monitoring/tests/test_document.py
|
ProzorroUKR/openprocurement.audit.api
|
a17836e29bca28d9151c091e1d2e42de9f70b949
|
[
"Apache-2.0"
] | 1
|
2020-06-15T11:04:25.000Z
|
2020-06-15T11:04:25.000Z
|
# -*- coding: utf-8 -*-
import unittest
from hashlib import sha512
from unittest import mock
from openprocurement.audit.monitoring.tests.base import BaseWebTest, DSWebTestMixin
from openprocurement.audit.monitoring.tests.test_elimination import MonitoringEliminationBaseTest
from openprocurement.audit.monitoring.tests.utils import get_errors_field_names
class MonitoringDecisionDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringDecisionDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
'documentType': 'notice',
'id': '0' * 32
}
self.test_monitoring_activation_data = {
"status": "active",
"decision": {
"date": "2015-05-10T23:11:39.720908+03:00",
"description": "text",
"documents": [self.test_docservice_document_data]
}
}
def test_document_get_single(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_id = response.json['data']['decision']['documents'][-1]['id']
response = self.app.get('/monitorings/{}/decision/documents/{}'.format(self.monitoring_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
self.assertEqual(document_data["documentType"], "notice")
def test_document_get_list(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.get('/monitorings/{}/decision/documents'.format(self.monitoring_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
def test_document_download(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']['decision']['documents'][-1]
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/decision/documents/{}?download=some_id'.format(
self.monitoring_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/decision/documents/{}?download={}'.format(
self.monitoring_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
def test_document_upload(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {'decision': self.test_monitoring_activation_data['decision']}})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/decision/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
def test_document_upload_forbidden(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/decision/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data}, status=403)
self.assertEqual(response.status_code, 403)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(
('body', 'data'),
next(get_errors_field_names(response, 'Can\'t add document in current active monitoring status.')))
class MonitoringPostActiveDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringPostActiveDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
"status": "active",
"decision": {
"date": "2015-05-10T23:11:39.720908+03:00",
"description": "text",
"documents": [self.test_docservice_document_data]
}
}}
)
self.post_data = {
'title': 'Lorem ipsum',
'description': 'Lorem ipsum dolor sit amet',
'documents': [self.test_docservice_document_data]
}
def test_document_get_single(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/posts'.format(self.monitoring_id),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
document_id = response.json['data']['documents'][-1]['id']
response = self.app.get('/monitorings/{}/posts/{}/documents/{}'.format(self.monitoring_id, post_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
def test_document_get_list(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/posts'.format(self.monitoring_id),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
response = self.app.get('/monitorings/{}/posts/{}/documents'.format(self.monitoring_id, post_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
def test_document_download(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/posts'.format(self.monitoring_id),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
document_data = response.json['data']['documents'][-1]
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/posts/{}/documents/{}?download=some_id'.format(
self.monitoring_id, post_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/posts/{}/documents/{}?download={}'.format(
self.monitoring_id, post_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
def test_document_upload(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/posts'.format(self.monitoring_id),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
response = self.app.post_json('/monitorings/{}/posts/{}/documents'.format(
self.monitoring_id, post_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
def test_document_upload_forbidden(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/posts'.format(self.monitoring_id),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
"status": "addressed",
"conclusion": {
"violationOccurred": True,
"violationType": ["corruptionProcurementMethodType"],
}
}}
)
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.post_json('/monitorings/{}/posts/{}/documents'.format(
self.monitoring_id, post_id),
{'data': self.test_docservice_document_data}, status=403)
self.assertEqual(response.status_code, 403)
self.assertEqual(response.content_type, 'application/json')
class MonitoringPostAddressedDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringPostAddressedDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
"status": "active",
"decision": {
"date": "2015-05-10T23:11:39.720908+03:00",
"description": "text",
"documents": [self.test_docservice_document_data]
}
}}
)
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
"conclusion": {
"description": "Some text",
"violationOccurred": True,
"violationType": ["corruptionProcurementMethodType", "corruptionAwarded"],
"documents": [self.test_docservice_document_data]
},
"status": "addressed",
}}
)
self.post_data = {
'title': 'Lorem ipsum',
'description': 'Lorem ipsum dolor sit amet',
'documents': [self.test_docservice_document_data]
}
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_get_single(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
document_id = response.json['data']['documents'][-1]['id']
response = self.app.get('/monitorings/{}/posts/{}/documents/{}'.format(self.monitoring_id, post_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_get_list(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
response = self.app.get('/monitorings/{}/posts/{}/documents'.format(self.monitoring_id, post_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_download(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
document_data = response.json['data']['documents'][-1]
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/posts/{}/documents/{}?download=some_id'.format(
self.monitoring_id, post_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/posts/{}/documents/{}?download={}'.format(
self.monitoring_id, post_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_upload_no_token(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
response = self.app.post_json('/monitorings/{}/posts/{}/documents'.format(
self.monitoring_id, post_id),
{'data': self.test_docservice_document_data}, status=403)
self.assertEqual(response.status_code, 403)
self.assertEqual(response.content_type, 'application/json')
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_upload(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
response = self.app.post_json('/monitorings/{}/posts/{}/documents?acc_token={}'.format(
self.monitoring_id, post_id, tender_owner_token),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
@mock.patch('openprocurement.audit.monitoring.validation.TendersClient')
def test_document_upload_author_forbidden(self, mock_api_client):
mock_api_client.return_value.extract_credentials.return_value = {
'data': {'tender_token': sha512(b'tender_token').hexdigest()}
}
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
response = self.app.patch_json(
'/monitorings/{}/credentials?acc_token={}'.format(self.monitoring_id, 'tender_token')
)
tender_owner_token = response.json['access']['token']
response = self.app.post_json(
'/monitorings/{}/posts?acc_token={}'.format(self.monitoring_id, tender_owner_token),
{'data': self.post_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
post_id = response.json['data']['id']
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.post_json('/monitorings/{}/posts/{}/documents'.format(
self.monitoring_id, post_id),
{'data': self.test_docservice_document_data}, status=403)
class MonitoringDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.test_monitoring_activation_data = {
"documents": [self.test_docservice_document_data],
}
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
'status': "cancelled",
'cancellation': {
"description": "text"
}
}})
def test_document_get_single(self):
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_id = response.json['data']['documents'][-1]['id']
response = self.app.get('/monitorings/{}/documents/{}'.format(self.monitoring_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
def test_document_get_list(self):
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.get('/monitorings/{}/documents'.format(self.monitoring_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
def test_document_download(self):
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']['documents'][-1]
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/documents/{}?download=some_id'.format(
self.monitoring_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/documents/{}?download={}'.format(
self.monitoring_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
def test_document_upload(self):
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
class MonitoringCancellationDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringCancellationDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.test_monitoring_activation_data = {
'status': "cancelled",
'cancellation': {
"description": "text",
"documents": []
}
}
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_activation_data})
self.end_point = '/monitorings/%s/cancellation/documents' % self.monitoring_id
def test_get_single(self):
response = self.app.post_json(
'/monitorings/{}/cancellation/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
document_id = response.json['data']['id']
response = self.app.get('/monitorings/{}/cancellation/documents/{}'.format(self.monitoring_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
def test_document_get_list(self):
response = self.app.post_json(
'/monitorings/{}/cancellation/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
response = self.app.get('/monitorings/{}/cancellation/documents'.format(self.monitoring_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
def test_document_download(self):
response = self.app.post_json(
'/monitorings/{}/cancellation/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/cancellation/documents/{}?download=some_id'.format(
self.monitoring_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/cancellation/documents/{}?download={}'.format(
self.monitoring_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
def test_document_upload(self):
response = self.app.post_json('/monitorings/{}/cancellation/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
class MonitoringEliminationResolutionDocumentResourceTest(MonitoringEliminationBaseTest):
def setUp(self):
super(MonitoringEliminationResolutionDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.create_monitoring_with_resolution()
def test_document_get_single(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
document_id = response.json['data']['id']
response = self.app.get(
'/monitorings/{}/eliminationResolution/documents/{}'.format(self.monitoring_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
def test_document_get_list(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
response = self.app.get('/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(2, len(response.json['data']))
self.assertIn('lorem.doc', [doc['title'] for doc in response.json['data']])
def test_document_download(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json(
'/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
key = document_data["url"].split('/')[-1].split('?')[0]
document_id = document_data['id']
response = self.app.get('/monitorings/{}/eliminationResolution/documents/{}?download=some_id'.format(
self.monitoring_id, document_id), status=404)
self.assertEqual(response.status_code, 404)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(response.json['status'], 'error')
self.assertEqual(response.json['errors'], [
{'description': 'Not Found', 'location': 'url', 'name': 'download'}
])
response = self.app.get('/monitorings/{}/eliminationResolution/documents/{}?download={}'.format(
self.monitoring_id, document_id, key))
self.assertEqual(response.status_code, 302)
self.assertIn('http://localhost/get/', response.location)
self.assertIn('Signature=', response.location)
self.assertIn('KeyID=', response.location)
self.assertNotIn('Expires=', response.location)
def test_document_upload(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.post_json('/monitorings/{}/eliminationResolution/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
def test_patch_document(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
request_data = {
'title': 'another.txt',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '1' * 32,
'format': 'application/msword',
}
response = self.app.get('/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id))
doc_to_update = response.json['data'][0]
response = self.app.patch_json(
'/monitorings/{}/eliminationResolution/documents/{}'.format(
self.monitoring_id, doc_to_update["id"]
),
{"data": request_data}
)
self.assertEqual(response.json["data"]["title"], request_data["title"])
self.assertEqual(response.json["data"]["format"], request_data["format"])
self.assertNotEqual(
response.json["data"]["url"].split("Signature")[0],
request_data["url"].split("Signature")[0],
)
self.assertNotEqual(response.json["data"]["hash"], request_data["hash"])
def test_patch_document_forbidden(self):
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
document = {
'title': 'another.txt',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '1' * 32,
'format': 'application/msword',
}
response = self.app.get('/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id))
doc_to_update = response.json['data'][0]
self.app.patch_json(
'/monitorings/{}/eliminationResolution/documents/{}?acc_token={}'.format(
self.monitoring_id, doc_to_update["id"], self.tender_owner_token
),
{"data": document},
status=403
)
def test_put_document(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
request_data = {
'title': 'my_new_file.txt',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'text/css',
}
response = self.app.get('/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id))
doc_to_update = response.json['data'][0]
response = self.app.put_json(
'/monitorings/{}/eliminationResolution/documents/{}'.format(
self.monitoring_id, doc_to_update["id"]
),
{"data": request_data}
)
self.assertEqual(response.json["data"]["title"], request_data["title"])
self.assertEqual(
response.json["data"]["url"].split("Signature")[0],
request_data["url"].split("Signature")[0],
)
self.assertEqual(response.json["data"]["format"], request_data["format"])
self.assertEqual(response.json["data"]["hash"], request_data["hash"])
def test_put_document_forbidden(self):
self.app.authorization = ('Basic', (self.broker_name, self.broker_pass))
document = {
'title': 'my_new_file.txt',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'text/css',
}
response = self.app.get('/monitorings/{}/eliminationResolution/documents'.format(self.monitoring_id))
doc_to_update = response.json['data'][0]
self.app.put_json(
'/monitorings/{}/eliminationResolution/documents/{}?acc_token={}'.format(
self.monitoring_id, doc_to_update["id"], self.tender_owner_token
),
{"data": document},
status=403
)
class MonitoringConclusionDocumentResourceTest(BaseWebTest, DSWebTestMixin):
def setUp(self):
super(MonitoringConclusionDocumentResourceTest, self).setUp()
self.app.app.registry.docservice_url = 'http://localhost'
self.create_monitoring()
self.test_docservice_document_data = {
'title': 'lorem.doc',
'url': self.generate_docservice_url(),
'hash': 'md5:' + '0' * 32,
'format': 'application/msword',
}
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {
"status": "active",
"decision": {
"date": "2015-05-10T23:11:39.720908+03:00",
"description": "text",
"documents": [self.test_docservice_document_data]
}
}}
)
self.test_monitoring_addressed_data = {
"conclusion": {
"description": "Some text",
"violationOccurred": True,
"violationType": ["corruptionProcurementMethodType", "corruptionAwarded"],
"documents": [self.test_docservice_document_data]
},
"status": "addressed",
}
def test_document_get_single(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_addressed_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_id = response.json['data']['conclusion']['documents'][-1]['id']
response = self.app.get('/monitorings/{}/conclusion/documents/{}'.format(self.monitoring_id, document_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
document_data = response.json['data']
self.assertEqual(document_data['title'], 'lorem.doc')
self.assertIn('Signature=', document_data["url"])
self.assertIn('KeyID=', document_data["url"])
self.assertNotIn('Expires=', document_data["url"])
def test_document_get_list(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_addressed_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.get('/monitorings/{}/conclusion/documents'.format(self.monitoring_id))
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(len(response.json['data']), 1)
document_data = response.json['data'][-1]
self.assertEqual(document_data['title'], 'lorem.doc')
def test_document_upload(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {'conclusion': self.test_monitoring_addressed_data['conclusion']}})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/conclusion/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
def test_document_patch(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': {'conclusion': self.test_monitoring_addressed_data['conclusion']}})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/conclusion/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data})
self.assertEqual(response.status_code, 201)
self.assertEqual(response.content_type, 'application/json')
doc_id = response.json["data"]["id"]
old_dateModified = response.json["data"]["dateModified"]
response = self.app.patch_json('/monitorings/{}/conclusion/documents/{}'.format(
self.monitoring_id, doc_id),
{'data': {'title': self.test_docservice_document_data["title"]}}
)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json, None)
response = self.app.patch_json('/monitorings/{}/conclusion/documents/{}'.format(
self.monitoring_id, doc_id),
{'data': {'title': 'lorem1.doc'}}
)
self.assertEqual(response.status_code, 200)
self.assertNotEqual(response.json["data"]["dateModified"], old_dateModified)
def test_document_upload_forbidden(self):
self.app.authorization = ('Basic', (self.sas_name, self.sas_pass))
response = self.app.patch_json(
'/monitorings/{}'.format(self.monitoring_id),
{'data': self.test_monitoring_addressed_data})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.content_type, 'application/json')
response = self.app.post_json('/monitorings/{}/conclusion/documents'.format(
self.monitoring_id),
{'data': self.test_docservice_document_data}, status=403)
self.assertEqual(response.status_code, 403)
self.assertEqual(response.content_type, 'application/json')
self.assertEqual(
('body', 'data'),
next(get_errors_field_names(response, 'Can\'t add document in current addressed monitoring status.')))
| 44.88454
| 121
| 0.635159
| 4,779
| 45,872
| 5.896003
| 0.036619
| 0.093693
| 0.124889
| 0.072612
| 0.951805
| 0.943074
| 0.925436
| 0.922384
| 0.918231
| 0.911985
| 0
| 0.01283
| 0.21839
| 45,872
| 1,021
| 122
| 44.928501
| 0.773052
| 0.000458
| 0
| 0.838253
| 0
| 0
| 0.188881
| 0.076708
| 0
| 0
| 0
| 0
| 0.265643
| 1
| 0.051948
| false
| 0.043684
| 0.007084
| 0
| 0.067296
| 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
|
b9e1a8631ef45df8756a5f1a9021db9b96d6145f
| 20,203
|
py
|
Python
|
src/adaptivehmc.py
|
modichirag/hmc
|
e7c7931e999d0ffdee506662d0f095efdc7dc152
|
[
"MIT"
] | null | null | null |
src/adaptivehmc.py
|
modichirag/hmc
|
e7c7931e999d0ffdee506662d0f095efdc7dc152
|
[
"MIT"
] | null | null | null |
src/adaptivehmc.py
|
modichirag/hmc
|
e7c7931e999d0ffdee506662d0f095efdc7dc152
|
[
"MIT"
] | null | null | null |
import numpy as np
class HMC():
def __init__(self, log_prob, grad_log_prob, invmetric_diag=None):
self.log_prob, self.grad_log_prob = log_prob, grad_log_prob
self.V = lambda x : self.log_prob(x)*-1.
#self.V_g = lambda x : self.grad_log_prob(x)*-1.
self.leapcount, self.Vgcount, self.Hcount = 0, 0, 0
if invmetric_diag is None: self.invmetric_diag = 1.
else: self.invmetric_diag = invmetric_diag
self.metricstd = self.invmetric_diag**-0.5
self.KE = lambda p: 0.5*(p**2 * self.invmetric_diag).sum()
self.KE_g = lambda p: p * self.invmetric_diag
def V_g(self, x):
self.Vgcount += 1
return self.grad_log_prob(x)*-1.
def unit_norm_KE(self, p):
return 0.5 * (p**2).sum()
def unit_norm_KE_g(self, p):
return p
def H(self, q,p):
self.Hcount += 1
return self.V(q) + self.KE(p)
def leapfrog(self, q, p, N, step_size):
self.leapcount += 1
q0, p0 = q, p
try:
p = p - 0.5*step_size * self.V_g(q)
for i in range(N-1):
q = q + step_size * self.KE_g(p)
p = p - step_size * self.V_g(q)
q = q + step_size * self.KE_g(p)
p = p - 0.5*step_size * self.V_g(q)
return q, p
except Exception as e:
print(e)
return q0, p0
def leapfrog1(self, q, p, step_size, Vgq=None): #This needs to be optimized to not estimate V_g again and again
self.leapcount += 1
q0, p0 = q, p
try:
if Vgq is None: Vgq = self.V_g(q)
p = p - 0.5*step_size * Vgq
q = q + step_size * self.KE_g(p)
p = p - 0.5*step_size * self.V_g(q)
return q, p, Vgq
except Exception as e:
print(e)
return q0, p0, Vgq
def metropolis(self, qp0, qp1):
q0, p0 = qp0
q1, p1 = qp1
H0 = self.H(q0, p0)
H1 = self.H(q1, p1)
prob = np.exp(H0 - H1)
#prob = min(1., np.exp(H0 - H1))
if np.isnan(prob) or np.isinf(prob) or (q0-q1).sum()==0:
return q0, p0, 2., [H0, H1]
elif np.random.uniform(0., 1., size=1) > min(1., prob):
return q0, p0, 0., [H0, H1]
else: return q1, p1, 1., [H0, H1]
def hmc_step(self, q, N, step_size):
'''Single hmc iteration
Parameters:
----------
q: initial position
N: number of leapfrog steps
step_size: step size for leapfrog iteration
Returns:
--------
A tuple of-
q
p
accepted (0/1/2)
acceptance probability
list of [Hcounts, Vcounts, nleapfrogs]
'''
self.leapcount, self.Vgcount, self.Hcount = 0, 0, 0
p = np.random.normal(size=q.size).reshape(q.shape) * self.metricstd
q1, p1 = self.leapfrog(q, p, N, step_size)
q, p, accepted, prob = self.metropolis([q, p], [q1, p1])
return q, p, accepted, prob, [self.Hcount, self.Vgcount, self.leapcount]
######################
class AdHMC_eps0(HMC):
def __init__(self, log_prob, grad_log_prob, invmetric_diag=None):
super().__init__(log_prob, grad_log_prob, invmetric_diag)
def get_stepsize(self, q0, p0, smin=0.01, smax=1.0, ntry=20, logspace=True, nsteps=1, eps=None):
H0 = self.H(q0, p0)
Hs = np.zeros(ntry)
if logspace: steps = np.logspace(np.log10(smin), np.log10(smax), ntry)
else: steps = np.linspace(smin, smax, ntry)
pwts = steps.copy()**0.5 #np.linspace(0.9, 1.1, steps.size)
for iss, ss in enumerate(steps):
#nsteps = int(steps.max()/ss)+1
q1, p1 = self.leapfrog(q0, p0, nsteps, ss)
Hs[iss] = self.H(q1, p1)
pp = np.exp(H0 - Hs) * pwts
pp[np.isnan(pp)] = 0
pp[np.isinf(pp)] = 0
pp /= pp.sum()
cdf = np.cumsum(pp)
if eps is None:
sx = np.random.uniform(low=cdf.min())
isx = np.where(sx > cdf)[0][-1]
sx2 = np.random.uniform(steps[isx], steps[isx+1])
prob = pp[isx+1] # * 1/(steps[isx+1]-steps[isx+1])
return sx2, pp[isx+1]
else:
prob = pp[np.where(steps > eps)[0][0]]
return prob
def hmc_step(self, q0, Nleap, smin=0.01, smax=1.0, Tint=0, ntry=10, nsteps=1):
'''Single hmc iteration
Parameters:
----------
q: initial position
N: number of leapfrog steps
step_size: step size for leapfrog iteration
smin: Minimum allowed step size
smin: Maximum allowed step size
Tint: Time of integration
ntry: Number of points to try for estimating first step size
nsteps: Number of steps per try for estimating first step size
Returns:
--------
A tuple of-
q
p
accepted (0/1/2)
acceptance probability
array of [pfactor denominator, pfactor numberator, stepsize]
list of [Hcounts, Vcounts, nleapfrogs]
'''
self.leapcount, self.Vgcount, self.Hcount = 0, 0, 0
p0 = np.random.normal(size=q0.size).reshape(q0.shape) * self.metricstd
H0 = self.H(q0, p0)
if (Tint == 0) and (Nleap == 0):
print("Tint and Nleap cannot be both zeros")
import sys
sys.exit()
elif (Tint != 0) and (Nleap != 0):
print("Tint and Nleap both given and are inconsistent")
import sys
sys.exit()
#First step is drawn from a distribution
ss, pf_den = self.get_stepsize(q0, p0, smin, smax, ntry=ntry, nsteps=nsteps)
eps = ss
if Tint == 0: N = Nleap
else: N = int(Tint/eps) + 1
#print("Steps size is %0.2f, and number of steps is %d"%(eps, N))
q1, p1 = self.leapfrog(q0, p0, N, ss)
H1 = self.H(q1, p1)
pb_num = self.get_stepsize(q1, -p1, smin=smin, smax=smax, eps=ss, ntry=ntry, nsteps=nsteps)
hastings_factor = pb_num/pf_den
prob = np.exp(H0 - H1) * hastings_factor
#print("prb, fac, metrop : ", prob, adfac, prob/adfac, pb_num, pf_den)
toret = [[prob, prob/hastings_factor, hastings_factor], np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]]
if np.isnan(prob) or np.isinf(prob) or (q0-q1).sum()==0:
return q0, p0, 2., *toret
elif np.random.uniform(0., 1., size=1) > min(1., prob):
return q0, p0, 0., *toret
else: return q1, p1, 1., *toret
##
######################
class AdHMC(HMC):
def __init__(self, log_prob, grad_log_prob, invmetric_diag=None):
super().__init__(log_prob, grad_log_prob, invmetric_diag)
def get_stepsize(self, q0, p0, smin=0.01, smax=1.0, ntry=10, logspace=True, nsteps=1, eps=None):
H0 = self.H(q0, p0)
Hs = np.zeros(ntry)
if logspace: steps = np.logspace(np.log10(smin), np.log10(smax), ntry)
else: steps = np.linspace(smin, smax, ntry)
pwts = steps.copy()**0.5 #np.linspace(0.9, 1.1, steps.size)
for iss, ss in enumerate(steps):
#nsteps = int(steps.max()/ss)+1
q1, p1 = self.leapfrog(q0, p0, nsteps, ss)
Hs[iss] = self.H(q1, p1)
pp = np.exp(H0 - Hs) * pwts
pp[np.isnan(pp)] = 0
pp[np.isinf(pp)] = 0
pp /= pp.sum()
cdf = np.cumsum(pp)
if eps is None:
sx = np.random.uniform(low=cdf.min())
isx = np.where(sx > cdf)[0][-1]
sx2 = np.random.uniform(steps[isx], steps[isx+1])
prob = pp[isx+1] # * 1/(steps[isx+1]-steps[isx+1])
return sx2, pp[isx+1]
else:
prob = pp[np.where(steps > eps)[0][0]]
return prob
def hmc_step(self, q0, Nleap=100, nleap=10, ratios= [1/np.sqrt(2), np.sqrt(2)], pwts0 = [1., 1.], smin=0.01, smax=1.0, ntry_eps0=10, nsteps_eps0=1, logeps=True, verbose=False):
'''
Parameters:
----------
q: initial position
Nleap: number of leapfrog steps
nleap: number of leapfrog steps to adapt step size
smin: Minimum allowed step size
smin: Maximum allowed step size
ratios: ratio to change step size with after nleap steps- expected in INCREASING order
ntry_eps0: Number of points to try for estimating first step size
nsteps_eps0: Number of steps per try for estimating first step size
Returns:
--------
A tuple of-
q
p
accepted (0/1/2)
list of probabiliies [acc_prob, acc_prob/hastings_factor, hastings_factor]
array of checks [pfactor denominator, pfactor numberator, stepsize]
list of counts [Hcounts, Vcounts, nleapfrogs]
'''
#normprob is not implemented
self.leapcount, self.Vgcount, self.Hcount = 0, 0, 0
p0 = np.random.normal(size=q0.size).reshape(q0.shape) * self.metricstd
N = int(Nleap//nleap)
#First step is drawn from a distribution
eps, pf_den, pb_num = np.zeros(N), np.zeros(N), np.zeros(N)
#pwts0 = 1. #np.array([0.9, 1.0, 1.1])
nr = len(ratios)
H0 = self.H(q0, p0)
#First step is drawn from a distribution
ss, pf_den[0] = self.get_stepsize(q0, p0, smin, smax, ntry=ntry_eps0, nsteps=nsteps_eps0, logspace=logeps)
eps[0] = ss
q1, p1 = self.leapfrog(q0, p0, nleap, ss)
H1 = self.H(q1, p1)
Hprev = H0
sigma = np.log(0.5)/2.
for i in range(N - 1):
#q1, p1, H1 is the current position.
#ss is the current step size i.e. the last taken
##Forward
pf, pb = np.zeros(nr), np.zeros(nr)
qs, ps, Hs = [], [], []
for j in range(nr):
ss2 = ss*ratios[j]
q, p= self.leapfrog(q1, p1, nleap, ss2)
qs.append(q)
ps.append(p)
Hs.append(self.H(q, p))
pH = np.exp(H1 - Hs[-1])
if np.isnan(pH) or np.isinf(pH): pH = 0
pf[j] = pH
pwts = np.ones(nr) * pwts0
if smin > ss*ratios[0]: pwts[0] = 0
if smax < ss*ratios[-1]: pwts[-1] = 0
pf *= pwts
pfraw = pf.copy()
pf /= pf.sum()
if np.isnan(pf.sum()) or np.isinf(pf.sum()):
if verbose:
print("Something blew up so returning initial position")
print(pfraw, pwts, pf, Hs, ss)
return q0, p0, 100+i, [np.NaN, np.NaN, np.NaN], np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]
#Select a step size to carry forth
pind = np.random.choice(nr, p=pf)
ssnew = ss*ratios[pind]
q2, p2, H2 = qs[pind], ps[pind], Hs[pind]
pf_den[i+1] = pf[pind]
##Reverse
#step from q1, p1 if we arrive here with ssnew step size in reverse direction
Hsb = []
for j in range(nr):
if np.allclose(ssnew*ratios[j] , ss):
Hsb.append(Hprev)
pbind = j
else:
ss2 = ssnew*ratios[j]
q, p = self.leapfrog(q1, -p1, nleap, ss2)
Hsb.append(self.H(q, p))
pH = np.exp(H1 - Hsb[-1])
if np.isnan(pH) or np.isinf(pH): pH = 0
pb[j] = pH
pwts = np.ones(nr) *pwts0
if smin > ssnew*ratios[0]: pwts[0] = 0
if smax < ssnew*ratios[-1]: pwts[-1] = 0
pb *= pwts
pb /= pb.sum()
pb_num[i] = pb[pbind]
#setup for next step
eps[i+1] = ssnew
ss = ssnew
Hprev = H1
q1, p1, H1 = q2, p2, H2
#print(pf, pb, pf[pind], pb[pbind])
#print(ss)
#print('started and ended with step sizes ', eps[0], eps[i+1])
#print('Number of steps taken is %d out of %d'%(i, N))
if (ssnew > smin) and (ssnew < smax):
#pb_num[-1] = self.get_stepsize(q2, -p2, smin=smin, smax=smax, eps=ssnew, ntry=ntry, nsteps=nsteps)
pb_num[i+1] = self.get_stepsize(q2, -p2, smin=smin, smax=smax, eps=ssnew, ntry=ntry_eps0, nsteps=nsteps_eps0, logspace=logeps)
hastings_factor = np.prod(pb_num[:i+2])/np.prod(pf_den[:i+2])
prob = np.exp(H0 - H2) * hastings_factor
if verbose: print("prb, fac, metrop : ", prob, hastings_factor, prob/hastings_factor, pb_num[-1], pf_den[0])
#Return
toret = [[prob, prob/hastings_factor, hastings_factor], np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]]
if np.isnan(prob) or np.isinf(prob) or (q0-q1).sum()==0:
return q0, p0, 2., *toret
elif np.random.uniform(0., 1., size=1) > min(1., prob):
return q0, p0, 0., *toret
else:
return q2, p2, 1., *toret
##
######################
######################
class AdHMC_May(HMC):
##DO NOT DELETE. HAS normprob and other methods implemented that need to be moved above
def __init__(self, log_prob, grad_log_prob, invmetric_diag=None):
super.__init__(log_prob, grad_log_prob, invmetric_diag)
def get_stepsize(self, q0, p0, smin=0.01, smax=1.0, ntry=20, logspace=True, nsteps=1, eps=None):
H0 = self.H(q0, p0)
Hs = np.zeros(ntry)
if logspace: steps = np.logspace(np.log10(smin), np.log10(smax), ntry)
else: steps = np.linspace(smin, smax, ntry)
pwts = steps.copy()**0.5 #np.linspace(0.9, 1.1, steps.size)
for iss, ss in enumerate(steps):
#nsteps = int(steps.max()/ss)+1
q1, p1 = self.leapfrog(q0, p0, nsteps, ss)
Hs[iss] = self.H(q1, p1)
pp = np.exp(H0 - Hs) * pwts
pp[np.isnan(pp)] = 0
pp[np.isinf(pp)] = 0
pp /= pp.sum()
cdf = np.cumsum(pp)
if eps is None:
sx = np.random.uniform(low=cdf.min())
isx = np.where(sx > cdf)[0][-1]
sx2 = np.random.uniform(steps[isx], steps[isx+1])
prob = pp[isx+1] # * 1/(steps[isx+1]-steps[isx+1])
return sx2, pp[isx+1]
else:
prob = pp[np.where(steps > eps)[0][0]]
return prob
def hmc_step(self, q0, Nleap, smin=0.01, smax=1.0, ratios= [0.75, 1.0, 1/0.75], Tint=0, ntry=20, nsteps=1, normprob=True):
self.leapcount, self.Vgcount, self.Hcount = 0, 0, 0
p0 = np.random.normal(size=q0.size).reshape(q0.shape) * self.metricstd
if (Tint == 0) and (Nleap == 0):
print("Tint and Nleap cannot be both zeros")
import sys
sys.exit()
elif (Tint != 0) and (Nleap != 0):
print("Tint and Nleap both given and are inconsistent")
import sys
sys.exit()
if Tint == 0: N = Nleap
else: N = int(Tint/smin)
#First step is drawn from a distribution
eps, pf_den, pb_num = np.zeros(N), np.zeros(N), np.zeros(N)
pwts0 = 1. #np.array([0.9, 1.0, 1.1])
nr = len(ratios)
H0 = self.H(q0, p0)
def halfleap(q, p, step_size, Vgq=None): #This needs to be optimized to not estimate V_g again and again
self.leapcount += 1
q0, p0 = q, p
if Vgq is None: Vgq = self.V_g(q)
p = p - 0.5*step_size * Vgq
q = q + step_size * self.KE_g(p)
return q, p, Vgq
#First step is drawn from a distribution
ss, pf_den[0] = self.get_stepsize(q0, p0, smin, smax, ntry=ntry, nsteps=nsteps)
eps[0] = ss
q1, p1, _ = self.leapfrog1(q0, p0, ss)
H1 = self.H(q1, p1)
Hprev = H0
sigma = np.log(0.5)/2.
#print('Doing half step to estimate goodness')
for i in range(N-1):
#q1, p1, H1 is the current position.
#ss is the current step size i.e. the last taken
#Forward
pf, pb = np.zeros(nr), np.zeros(nr)
qs, ps, Hs = [], [], []
Vgq = None
for j in range(nr):
ss2 = ss*ratios[j]
q, p, Vgq = self.leapfrog1(q1, p1, ss2, Vgq)
#q, p, Vgq = halfleap(q1, p1, ss2, Vgq)
qs.append(q)
ps.append(p)
Hs.append(self.H(q, p))
#if normprob: pH = np.exp(-0.5 * (Hs[-1] - Hprev)**2 / sigma**2)
#if normprob: pH = np.exp(- abs(Hs[-1] - Hprev))
if normprob: pH = np.exp(- abs(Hs[-1] - H1))
else: pH = np.exp(H1 - Hs[-1])
if np.isnan(pH) or np.isinf(pH): pH = 0
pf[j] = pH
pwts = np.ones(nr) * pwts0
if smin > ss*ratios[0]: pwts[0] = 0
if smax < ss*ratios[-1]: pwts[-1] = 0
pf *= pwts
pf /= pf.sum()
if np.isnan(pf.sum()) or np.isinf(pf.sum()):
return q0, p0, 100+i, 0, np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]
pind = np.random.choice(nr, p=pf)
ssnew = ss*ratios[pind]
q2, p2, _ = self.leapfrog1(q1, p1, ssnew, Vgq)
H2 = self.H(q2, p2)
#q2, p2, H2 = qs[pind], ps[pind], Hs[pind]
pf_den[i+1] = pf[pind]
#step from q1, p1 if we arrive here with ssnew step size in reverse direction
Hsb = []
for j in range(nr):
if np.allclose(ssnew*ratios[j] , ss):
Hsb.append(Hprev)
pbind = j
else:
ss2 = ssnew*ratios[j]
q, p, Vgq = self.leapfrog1(q1, -p1, ss2, Vgq)
Hsb.append(self.H(q, p))
#if normprob: pH = np.exp(-0.5 * (Hsb[-1] - H2)**2 / sigma**2)
#if normprob: pH = np.exp(- abs(Hsb[-1] - H2))
if normprob: pH = np.exp(- abs(Hsb[-1] - H1))
else: pH = np.exp(H1 - Hsb[-1])
if np.isnan(pH) or np.isinf(pH): pH = 0
pb[j] = pH
pwts = np.ones(nr) *pwts0
if smin > ssnew*ratios[0]: pwts[0] = 0
if smax < ssnew*ratios[-1]: pwts[-1] = 0
pb *= pwts
pb /= pb.sum()
pb_num[i] = pb[pbind]
#setup for next step
eps[i+1] =ssnew # ratios[pind]
ss = ssnew
Hprev = H1
q1, p1, H1 = q2, p2, H2
#print(pf, pb, pf[pind], pb[pbind])
#print(ss)
##THIS VIOLATES DB BUT LETS SEE HOW BAD THIS IS
##THIS MIGHT BE RELATED TO NUTS GOING IN BOTH DIRECTIONS
##CONSIDER SEQ OF STEPSIZES 0.5,1,2,3,6 with TINT=10, AND CASE WHEN WE START FROM 1 OR 3
#if Tint > 0 :
# if eps[:i+1].sum() > Tint : break
#print('started and ended with step sizes ', eps[0], eps[i+1])
#print('Number of steps taken is %d out of %d'%(i, N))
if (ssnew > smin) and (ssnew < smax):
#pb_num[-1] = self.get_stepsize(q2, -p2, smin=smin, smax=smax, eps=ssnew, ntry=ntry, nsteps=nsteps)
pb_num[i+1] = self.get_stepsize(q2, -p2, smin=smin, smax=smax, eps=ssnew, ntry=ntry, nsteps=nsteps)
adfac = np.prod(pb_num[:i+2])/np.prod(pf_den[:i+2])
prob = np.exp(H0 - H2) * adfac
#print("prb, fac, metrop : ", prob, adfac, prob/adfac, pb_num[-1], pf_den[0])
if np.isnan(prob) or np.isinf(prob) or (q0-q1).sum()==0:
return q0, p0, 2., prob, np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]
elif np.random.uniform(0., 1., size=1) > min(1., prob):
return q0, p0, 0., prob, np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]
else: return q2, p2, 1., prob, np.stack([pf_den, pb_num, eps]), [self.Hcount, self.Vgcount, self.leapcount]
##
| 38.703065
| 180
| 0.513835
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| 20,203
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| 20,203
| 521
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| 0.166163
| 0.02719
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| null | 0
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| 1
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0
| 7
|
b9f17cb5e7899351122967abf90e9105830e5b0f
| 312,471
|
py
|
Python
|
Tools/mavlink_px4.py
|
wms124/PX4_1.4.1_Back-up
|
9d6d903a8f46346281ae11104c47f1904da05e37
|
[
"BSD-3-Clause"
] | 4,224
|
2015-01-02T11:51:02.000Z
|
2020-10-27T23:42:28.000Z
|
Tools/mavlink_px4.py
|
wms124/PX4_1.4.1_Back-up
|
9d6d903a8f46346281ae11104c47f1904da05e37
|
[
"BSD-3-Clause"
] | 11,736
|
2015-01-01T11:59:16.000Z
|
2020-10-28T17:13:38.000Z
|
Tools/mavlink_px4.py
|
wms124/PX4_1.4.1_Back-up
|
9d6d903a8f46346281ae11104c47f1904da05e37
|
[
"BSD-3-Clause"
] | 11,850
|
2015-01-02T14:54:47.000Z
|
2020-10-28T16:42:47.000Z
|
'''
MAVLink protocol implementation (auto-generated by mavgen.py)
Generated from: common.xml
Note: this file has been auto-generated. DO NOT EDIT
'''
import struct, array, mavutil, time, json
WIRE_PROTOCOL_VERSION = "1.0"
# some base types from mavlink_types.h
MAVLINK_TYPE_CHAR = 0
MAVLINK_TYPE_UINT8_T = 1
MAVLINK_TYPE_INT8_T = 2
MAVLINK_TYPE_UINT16_T = 3
MAVLINK_TYPE_INT16_T = 4
MAVLINK_TYPE_UINT32_T = 5
MAVLINK_TYPE_INT32_T = 6
MAVLINK_TYPE_UINT64_T = 7
MAVLINK_TYPE_INT64_T = 8
MAVLINK_TYPE_FLOAT = 9
MAVLINK_TYPE_DOUBLE = 10
class MAVLink_header(object):
'''MAVLink message header'''
def __init__(self, msgId, mlen=0, seq=0, srcSystem=0, srcComponent=0):
self.mlen = mlen
self.seq = seq
self.srcSystem = srcSystem
self.srcComponent = srcComponent
self.msgId = msgId
def pack(self):
return struct.pack('BBBBBB', 254, self.mlen, self.seq,
self.srcSystem, self.srcComponent, self.msgId)
class MAVLink_message(object):
'''base MAVLink message class'''
def __init__(self, msgId, name):
self._header = MAVLink_header(msgId)
self._payload = None
self._msgbuf = None
self._crc = None
self._fieldnames = []
self._type = name
def get_msgbuf(self):
if isinstance(self._msgbuf, str):
return self._msgbuf
return self._msgbuf.tostring()
def get_header(self):
return self._header
def get_payload(self):
return self._payload
def get_crc(self):
return self._crc
def get_fieldnames(self):
return self._fieldnames
def get_type(self):
return self._type
def get_msgId(self):
return self._header.msgId
def get_srcSystem(self):
return self._header.srcSystem
def get_srcComponent(self):
return self._header.srcComponent
def get_seq(self):
return self._header.seq
def __str__(self):
ret = '%s {' % self._type
for a in self._fieldnames:
v = getattr(self, a)
ret += '%s : %s, ' % (a, v)
ret = ret[0:-2] + '}'
return ret
def to_dict(self):
d = dict({})
d['mavpackettype'] = self._type
for a in self._fieldnames:
d[a] = getattr(self, a)
return d
def to_json(self):
return json.dumps(self.to_dict)
def pack(self, mav, crc_extra, payload):
self._payload = payload
self._header = MAVLink_header(self._header.msgId, len(payload), mav.seq,
mav.srcSystem, mav.srcComponent)
self._msgbuf = self._header.pack() + payload
crc = mavutil.x25crc(self._msgbuf[1:])
if True: # using CRC extra
crc.accumulate(chr(crc_extra))
self._crc = crc.crc
self._msgbuf += struct.pack('<H', self._crc)
return self._msgbuf
# enums
# MAV_AUTOPILOT
MAV_AUTOPILOT_GENERIC = 0 # Generic autopilot, full support for everything
MAV_AUTOPILOT_PIXHAWK = 1 # PIXHAWK autopilot, http://pixhawk.ethz.ch
MAV_AUTOPILOT_SLUGS = 2 # SLUGS autopilot, http://slugsuav.soe.ucsc.edu
MAV_AUTOPILOT_ARDUPILOTMEGA = 3 # ArduPilotMega / ArduCopter, http://diydrones.com
MAV_AUTOPILOT_OPENPILOT = 4 # OpenPilot, http://openpilot.org
MAV_AUTOPILOT_GENERIC_WAYPOINTS_ONLY = 5 # Generic autopilot only supporting simple waypoints
MAV_AUTOPILOT_GENERIC_WAYPOINTS_AND_SIMPLE_NAVIGATION_ONLY = 6 # Generic autopilot supporting waypoints and other simple navigation
# commands
MAV_AUTOPILOT_GENERIC_MISSION_FULL = 7 # Generic autopilot supporting the full mission command set
MAV_AUTOPILOT_INVALID = 8 # No valid autopilot, e.g. a GCS or other MAVLink component
MAV_AUTOPILOT_PPZ = 9 # PPZ UAV - http://nongnu.org/paparazzi
MAV_AUTOPILOT_UDB = 10 # UAV Dev Board
MAV_AUTOPILOT_FP = 11 # FlexiPilot
MAV_AUTOPILOT_PX4 = 12 # PX4 Autopilot - http://pixhawk.ethz.ch/px4/
MAV_AUTOPILOT_ENUM_END = 13 #
# MAV_TYPE
MAV_TYPE_GENERIC = 0 # Generic micro air vehicle.
MAV_TYPE_FIXED_WING = 1 # Fixed wing aircraft.
MAV_TYPE_QUADROTOR = 2 # Quadrotor
MAV_TYPE_COAXIAL = 3 # Coaxial helicopter
MAV_TYPE_HELICOPTER = 4 # Normal helicopter with tail rotor.
MAV_TYPE_ANTENNA_TRACKER = 5 # Ground installation
MAV_TYPE_GCS = 6 # Operator control unit / ground control station
MAV_TYPE_AIRSHIP = 7 # Airship, controlled
MAV_TYPE_FREE_BALLOON = 8 # Free balloon, uncontrolled
MAV_TYPE_ROCKET = 9 # Rocket
MAV_TYPE_GROUND_ROVER = 10 # Ground rover
MAV_TYPE_SURFACE_BOAT = 11 # Surface vessel, boat, ship
MAV_TYPE_SUBMARINE = 12 # Submarine
MAV_TYPE_HEXAROTOR = 13 # Hexarotor
MAV_TYPE_OCTOROTOR = 14 # Octorotor
MAV_TYPE_TRICOPTER = 15 # Octorotor
MAV_TYPE_FLAPPING_WING = 16 # Flapping wing
MAV_TYPE_KITE = 17 # Flapping wing
MAV_TYPE_ENUM_END = 18 #
# MAV_MODE_FLAG
MAV_MODE_FLAG_CUSTOM_MODE_ENABLED = 1 # 0b00000001 Reserved for future use.
MAV_MODE_FLAG_TEST_ENABLED = 2 # 0b00000010 system has a test mode enabled. This flag is intended for
# temporary system tests and should not be
# used for stable implementations.
MAV_MODE_FLAG_AUTO_ENABLED = 4 # 0b00000100 autonomous mode enabled, system finds its own goal
# positions. Guided flag can be set or not,
# depends on the actual implementation.
MAV_MODE_FLAG_GUIDED_ENABLED = 8 # 0b00001000 guided mode enabled, system flies MISSIONs / mission items.
MAV_MODE_FLAG_STABILIZE_ENABLED = 16 # 0b00010000 system stabilizes electronically its attitude (and
# optionally position). It needs however
# further control inputs to move around.
MAV_MODE_FLAG_HIL_ENABLED = 32 # 0b00100000 hardware in the loop simulation. All motors / actuators are
# blocked, but internal software is full
# operational.
MAV_MODE_FLAG_MANUAL_INPUT_ENABLED = 64 # 0b01000000 remote control input is enabled.
MAV_MODE_FLAG_SAFETY_ARMED = 128 # 0b10000000 MAV safety set to armed. Motors are enabled / running / can
# start. Ready to fly.
MAV_MODE_FLAG_ENUM_END = 129 #
# MAV_MODE_FLAG_DECODE_POSITION
MAV_MODE_FLAG_DECODE_POSITION_CUSTOM_MODE = 1 # Eighth bit: 00000001
MAV_MODE_FLAG_DECODE_POSITION_TEST = 2 # Seventh bit: 00000010
MAV_MODE_FLAG_DECODE_POSITION_AUTO = 4 # Sixt bit: 00000100
MAV_MODE_FLAG_DECODE_POSITION_GUIDED = 8 # Fifth bit: 00001000
MAV_MODE_FLAG_DECODE_POSITION_STABILIZE = 16 # Fourth bit: 00010000
MAV_MODE_FLAG_DECODE_POSITION_HIL = 32 # Third bit: 00100000
MAV_MODE_FLAG_DECODE_POSITION_MANUAL = 64 # Second bit: 01000000
MAV_MODE_FLAG_DECODE_POSITION_SAFETY = 128 # First bit: 10000000
MAV_MODE_FLAG_DECODE_POSITION_ENUM_END = 129 #
# MAV_GOTO
MAV_GOTO_DO_HOLD = 0 # Hold at the current position.
MAV_GOTO_DO_CONTINUE = 1 # Continue with the next item in mission execution.
MAV_GOTO_HOLD_AT_CURRENT_POSITION = 2 # Hold at the current position of the system
MAV_GOTO_HOLD_AT_SPECIFIED_POSITION = 3 # Hold at the position specified in the parameters of the DO_HOLD action
MAV_GOTO_ENUM_END = 4 #
# MAV_MODE
MAV_MODE_PREFLIGHT = 0 # System is not ready to fly, booting, calibrating, etc. No flag is set.
MAV_MODE_MANUAL_DISARMED = 64 # System is allowed to be active, under manual (RC) control, no
# stabilization
MAV_MODE_TEST_DISARMED = 66 # UNDEFINED mode. This solely depends on the autopilot - use with
# caution, intended for developers only.
MAV_MODE_STABILIZE_DISARMED = 80 # System is allowed to be active, under assisted RC control.
MAV_MODE_GUIDED_DISARMED = 88 # System is allowed to be active, under autonomous control, manual
# setpoint
MAV_MODE_AUTO_DISARMED = 92 # System is allowed to be active, under autonomous control and
# navigation (the trajectory is decided
# onboard and not pre-programmed by MISSIONs)
MAV_MODE_MANUAL_ARMED = 192 # System is allowed to be active, under manual (RC) control, no
# stabilization
MAV_MODE_TEST_ARMED = 194 # UNDEFINED mode. This solely depends on the autopilot - use with
# caution, intended for developers only.
MAV_MODE_STABILIZE_ARMED = 208 # System is allowed to be active, under assisted RC control.
MAV_MODE_GUIDED_ARMED = 216 # System is allowed to be active, under autonomous control, manual
# setpoint
MAV_MODE_AUTO_ARMED = 220 # System is allowed to be active, under autonomous control and
# navigation (the trajectory is decided
# onboard and not pre-programmed by MISSIONs)
MAV_MODE_ENUM_END = 221 #
# MAV_STATE
MAV_STATE_UNINIT = 0 # Uninitialized system, state is unknown.
MAV_STATE_BOOT = 1 # System is booting up.
MAV_STATE_CALIBRATING = 2 # System is calibrating and not flight-ready.
MAV_STATE_STANDBY = 3 # System is grounded and on standby. It can be launched any time.
MAV_STATE_ACTIVE = 4 # System is active and might be already airborne. Motors are engaged.
MAV_STATE_CRITICAL = 5 # System is in a non-normal flight mode. It can however still navigate.
MAV_STATE_EMERGENCY = 6 # System is in a non-normal flight mode. It lost control over parts or
# over the whole airframe. It is in mayday and
# going down.
MAV_STATE_POWEROFF = 7 # System just initialized its power-down sequence, will shut down now.
MAV_STATE_ENUM_END = 8 #
# MAV_COMPONENT
MAV_COMP_ID_ALL = 0 #
MAV_COMP_ID_CAMERA = 100 #
MAV_COMP_ID_SERVO1 = 140 #
MAV_COMP_ID_SERVO2 = 141 #
MAV_COMP_ID_SERVO3 = 142 #
MAV_COMP_ID_SERVO4 = 143 #
MAV_COMP_ID_SERVO5 = 144 #
MAV_COMP_ID_SERVO6 = 145 #
MAV_COMP_ID_SERVO7 = 146 #
MAV_COMP_ID_SERVO8 = 147 #
MAV_COMP_ID_SERVO9 = 148 #
MAV_COMP_ID_SERVO10 = 149 #
MAV_COMP_ID_SERVO11 = 150 #
MAV_COMP_ID_SERVO12 = 151 #
MAV_COMP_ID_SERVO13 = 152 #
MAV_COMP_ID_SERVO14 = 153 #
MAV_COMP_ID_MAPPER = 180 #
MAV_COMP_ID_MISSIONPLANNER = 190 #
MAV_COMP_ID_PATHPLANNER = 195 #
MAV_COMP_ID_IMU = 200 #
MAV_COMP_ID_IMU_2 = 201 #
MAV_COMP_ID_IMU_3 = 202 #
MAV_COMP_ID_GPS = 220 #
MAV_COMP_ID_UDP_BRIDGE = 240 #
MAV_COMP_ID_UART_BRIDGE = 241 #
MAV_COMP_ID_SYSTEM_CONTROL = 250 #
MAV_COMPONENT_ENUM_END = 251 #
# MAV_FRAME
MAV_FRAME_GLOBAL = 0 # Global coordinate frame, WGS84 coordinate system. First value / x:
# latitude, second value / y: longitude, third
# value / z: positive altitude over mean sea
# level (MSL)
MAV_FRAME_LOCAL_NED = 1 # Local coordinate frame, Z-up (x: north, y: east, z: down).
MAV_FRAME_MISSION = 2 # NOT a coordinate frame, indicates a mission command.
MAV_FRAME_GLOBAL_RELATIVE_ALT = 3 # Global coordinate frame, WGS84 coordinate system, relative altitude
# over ground with respect to the home
# position. First value / x: latitude, second
# value / y: longitude, third value / z:
# positive altitude with 0 being at the
# altitude of the home location.
MAV_FRAME_LOCAL_ENU = 4 # Local coordinate frame, Z-down (x: east, y: north, z: up)
MAV_FRAME_ENUM_END = 5 #
# MAVLINK_DATA_STREAM_TYPE
MAVLINK_DATA_STREAM_IMG_JPEG = 1 #
MAVLINK_DATA_STREAM_IMG_BMP = 2 #
MAVLINK_DATA_STREAM_IMG_RAW8U = 3 #
MAVLINK_DATA_STREAM_IMG_RAW32U = 4 #
MAVLINK_DATA_STREAM_IMG_PGM = 5 #
MAVLINK_DATA_STREAM_IMG_PNG = 6 #
MAVLINK_DATA_STREAM_TYPE_ENUM_END = 7 #
# MAV_CMD
MAV_CMD_NAV_WAYPOINT = 16 # Navigate to MISSION.
MAV_CMD_NAV_LOITER_UNLIM = 17 # Loiter around this MISSION an unlimited amount of time
MAV_CMD_NAV_LOITER_TURNS = 18 # Loiter around this MISSION for X turns
MAV_CMD_NAV_LOITER_TIME = 19 # Loiter around this MISSION for X seconds
MAV_CMD_NAV_RETURN_TO_LAUNCH = 20 # Return to launch location
MAV_CMD_NAV_LAND = 21 # Land at location
MAV_CMD_NAV_TAKEOFF = 22 # Takeoff from ground / hand
MAV_CMD_NAV_ROI = 80 # Sets the region of interest (ROI) for a sensor set or the vehicle
# itself. This can then be used by the
# vehicles control system to control the
# vehicle attitude and the attitude of various
# sensors such as cameras.
MAV_CMD_NAV_PATHPLANNING = 81 # Control autonomous path planning on the MAV.
MAV_CMD_NAV_LAST = 95 # NOP - This command is only used to mark the upper limit of the
# NAV/ACTION commands in the enumeration
MAV_CMD_CONDITION_DELAY = 112 # Delay mission state machine.
MAV_CMD_CONDITION_CHANGE_ALT = 113 # Ascend/descend at rate. Delay mission state machine until desired
# altitude reached.
MAV_CMD_CONDITION_DISTANCE = 114 # Delay mission state machine until within desired distance of next NAV
# point.
MAV_CMD_CONDITION_YAW = 115 # Reach a certain target angle.
MAV_CMD_CONDITION_LAST = 159 # NOP - This command is only used to mark the upper limit of the
# CONDITION commands in the enumeration
MAV_CMD_DO_SET_MODE = 176 # Set system mode.
MAV_CMD_DO_JUMP = 177 # Jump to the desired command in the mission list. Repeat this action
# only the specified number of times
MAV_CMD_DO_CHANGE_SPEED = 178 # Change speed and/or throttle set points.
MAV_CMD_DO_SET_HOME = 179 # Changes the home location either to the current location or a
# specified location.
MAV_CMD_DO_SET_PARAMETER = 180 # Set a system parameter. Caution! Use of this command requires
# knowledge of the numeric enumeration value
# of the parameter.
MAV_CMD_DO_SET_RELAY = 181 # Set a relay to a condition.
MAV_CMD_DO_REPEAT_RELAY = 182 # Cycle a relay on and off for a desired number of cyles with a desired
# period.
MAV_CMD_DO_SET_SERVO = 183 # Set a servo to a desired PWM value.
MAV_CMD_DO_REPEAT_SERVO = 184 # Cycle a between its nominal setting and a desired PWM for a desired
# number of cycles with a desired period.
MAV_CMD_DO_CONTROL_VIDEO = 200 # Control onboard camera system.
MAV_CMD_DO_LAST = 240 # NOP - This command is only used to mark the upper limit of the DO
# commands in the enumeration
MAV_CMD_PREFLIGHT_CALIBRATION = 241 # Trigger calibration. This command will be only accepted if in pre-
# flight mode.
MAV_CMD_PREFLIGHT_SET_SENSOR_OFFSETS = 242 # Set sensor offsets. This command will be only accepted if in pre-
# flight mode.
MAV_CMD_PREFLIGHT_STORAGE = 245 # Request storage of different parameter values and logs. This command
# will be only accepted if in pre-flight mode.
MAV_CMD_PREFLIGHT_REBOOT_SHUTDOWN = 246 # Request the reboot or shutdown of system components.
MAV_CMD_OVERRIDE_GOTO = 252 # Hold / continue the current action
MAV_CMD_MISSION_START = 300 # start running a mission
MAV_CMD_COMPONENT_ARM_DISARM = 400 # Arms / Disarms a component
MAV_CMD_ENUM_END = 401 #
# MAV_DATA_STREAM
MAV_DATA_STREAM_ALL = 0 # Enable all data streams
MAV_DATA_STREAM_RAW_SENSORS = 1 # Enable IMU_RAW, GPS_RAW, GPS_STATUS packets.
MAV_DATA_STREAM_EXTENDED_STATUS = 2 # Enable GPS_STATUS, CONTROL_STATUS, AUX_STATUS
MAV_DATA_STREAM_RC_CHANNELS = 3 # Enable RC_CHANNELS_SCALED, RC_CHANNELS_RAW, SERVO_OUTPUT_RAW
MAV_DATA_STREAM_RAW_CONTROLLER = 4 # Enable ATTITUDE_CONTROLLER_OUTPUT, POSITION_CONTROLLER_OUTPUT,
# NAV_CONTROLLER_OUTPUT.
MAV_DATA_STREAM_POSITION = 6 # Enable LOCAL_POSITION, GLOBAL_POSITION/GLOBAL_POSITION_INT messages.
MAV_DATA_STREAM_EXTRA1 = 10 # Dependent on the autopilot
MAV_DATA_STREAM_EXTRA2 = 11 # Dependent on the autopilot
MAV_DATA_STREAM_EXTRA3 = 12 # Dependent on the autopilot
MAV_DATA_STREAM_ENUM_END = 13 #
# MAV_ROI
MAV_ROI_NONE = 0 # No region of interest.
MAV_ROI_WPNEXT = 1 # Point toward next MISSION.
MAV_ROI_WPINDEX = 2 # Point toward given MISSION.
MAV_ROI_LOCATION = 3 # Point toward fixed location.
MAV_ROI_TARGET = 4 # Point toward of given id.
MAV_ROI_ENUM_END = 5 #
# MAV_CMD_ACK
MAV_CMD_ACK_OK = 1 # Command / mission item is ok.
MAV_CMD_ACK_ERR_FAIL = 2 # Generic error message if none of the other reasons fails or if no
# detailed error reporting is implemented.
MAV_CMD_ACK_ERR_ACCESS_DENIED = 3 # The system is refusing to accept this command from this source /
# communication partner.
MAV_CMD_ACK_ERR_NOT_SUPPORTED = 4 # Command or mission item is not supported, other commands would be
# accepted.
MAV_CMD_ACK_ERR_COORDINATE_FRAME_NOT_SUPPORTED = 5 # The coordinate frame of this command / mission item is not supported.
MAV_CMD_ACK_ERR_COORDINATES_OUT_OF_RANGE = 6 # The coordinate frame of this command is ok, but he coordinate values
# exceed the safety limits of this system.
# This is a generic error, please use the more
# specific error messages below if possible.
MAV_CMD_ACK_ERR_X_LAT_OUT_OF_RANGE = 7 # The X or latitude value is out of range.
MAV_CMD_ACK_ERR_Y_LON_OUT_OF_RANGE = 8 # The Y or longitude value is out of range.
MAV_CMD_ACK_ERR_Z_ALT_OUT_OF_RANGE = 9 # The Z or altitude value is out of range.
MAV_CMD_ACK_ENUM_END = 10 #
# MAV_PARAM_TYPE
MAV_PARAM_TYPE_UINT8 = 1 # 8-bit unsigned integer
MAV_PARAM_TYPE_INT8 = 2 # 8-bit signed integer
MAV_PARAM_TYPE_UINT16 = 3 # 16-bit unsigned integer
MAV_PARAM_TYPE_INT16 = 4 # 16-bit signed integer
MAV_PARAM_TYPE_UINT32 = 5 # 32-bit unsigned integer
MAV_PARAM_TYPE_INT32 = 6 # 32-bit signed integer
MAV_PARAM_TYPE_UINT64 = 7 # 64-bit unsigned integer
MAV_PARAM_TYPE_INT64 = 8 # 64-bit signed integer
MAV_PARAM_TYPE_REAL32 = 9 # 32-bit floating-point
MAV_PARAM_TYPE_REAL64 = 10 # 64-bit floating-point
MAV_PARAM_TYPE_ENUM_END = 11 #
# MAV_RESULT
MAV_RESULT_ACCEPTED = 0 # Command ACCEPTED and EXECUTED
MAV_RESULT_TEMPORARILY_REJECTED = 1 # Command TEMPORARY REJECTED/DENIED
MAV_RESULT_DENIED = 2 # Command PERMANENTLY DENIED
MAV_RESULT_UNSUPPORTED = 3 # Command UNKNOWN/UNSUPPORTED
MAV_RESULT_FAILED = 4 # Command executed, but failed
MAV_RESULT_ENUM_END = 5 #
# MAV_MISSION_RESULT
MAV_MISSION_ACCEPTED = 0 # mission accepted OK
MAV_MISSION_ERROR = 1 # generic error / not accepting mission commands at all right now
MAV_MISSION_UNSUPPORTED_FRAME = 2 # coordinate frame is not supported
MAV_MISSION_UNSUPPORTED = 3 # command is not supported
MAV_MISSION_NO_SPACE = 4 # mission item exceeds storage space
MAV_MISSION_INVALID = 5 # one of the parameters has an invalid value
MAV_MISSION_INVALID_PARAM1 = 6 # param1 has an invalid value
MAV_MISSION_INVALID_PARAM2 = 7 # param2 has an invalid value
MAV_MISSION_INVALID_PARAM3 = 8 # param3 has an invalid value
MAV_MISSION_INVALID_PARAM4 = 9 # param4 has an invalid value
MAV_MISSION_INVALID_PARAM5_X = 10 # x/param5 has an invalid value
MAV_MISSION_INVALID_PARAM6_Y = 11 # y/param6 has an invalid value
MAV_MISSION_INVALID_PARAM7 = 12 # param7 has an invalid value
MAV_MISSION_INVALID_SEQUENCE = 13 # received waypoint out of sequence
MAV_MISSION_DENIED = 14 # not accepting any mission commands from this communication partner
MAV_MISSION_RESULT_ENUM_END = 15 #
# MAV_SEVERITY
MAV_SEVERITY_EMERGENCY = 0 # System is unusable. This is a "panic" condition.
MAV_SEVERITY_ALERT = 1 # Action should be taken immediately. Indicates error in non-critical
# systems.
MAV_SEVERITY_CRITICAL = 2 # Action must be taken immediately. Indicates failure in a primary
# system.
MAV_SEVERITY_ERROR = 3 # Indicates an error in secondary/redundant systems.
MAV_SEVERITY_WARNING = 4 # Indicates about a possible future error if this is not resolved within
# a given timeframe. Example would be a low
# battery warning.
MAV_SEVERITY_NOTICE = 5 # An unusual event has occured, though not an error condition. This
# should be investigated for the root cause.
MAV_SEVERITY_INFO = 6 # Normal operational messages. Useful for logging. No action is required
# for these messages.
MAV_SEVERITY_DEBUG = 7 # Useful non-operational messages that can assist in debugging. These
# should not occur during normal operation.
MAV_SEVERITY_ENUM_END = 8 #
# message IDs
MAVLINK_MSG_ID_BAD_DATA = -1
MAVLINK_MSG_ID_HEARTBEAT = 0
MAVLINK_MSG_ID_SYS_STATUS = 1
MAVLINK_MSG_ID_SYSTEM_TIME = 2
MAVLINK_MSG_ID_PING = 4
MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL = 5
MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL_ACK = 6
MAVLINK_MSG_ID_AUTH_KEY = 7
MAVLINK_MSG_ID_SET_MODE = 11
MAVLINK_MSG_ID_PARAM_REQUEST_READ = 20
MAVLINK_MSG_ID_PARAM_REQUEST_LIST = 21
MAVLINK_MSG_ID_PARAM_VALUE = 22
MAVLINK_MSG_ID_PARAM_SET = 23
MAVLINK_MSG_ID_GPS_RAW_INT = 24
MAVLINK_MSG_ID_GPS_STATUS = 25
MAVLINK_MSG_ID_SCALED_IMU = 26
MAVLINK_MSG_ID_RAW_IMU = 27
MAVLINK_MSG_ID_RAW_PRESSURE = 28
MAVLINK_MSG_ID_SCALED_PRESSURE = 29
MAVLINK_MSG_ID_ATTITUDE = 30
MAVLINK_MSG_ID_ATTITUDE_QUATERNION = 31
MAVLINK_MSG_ID_LOCAL_POSITION_NED = 32
MAVLINK_MSG_ID_GLOBAL_POSITION_INT = 33
MAVLINK_MSG_ID_RC_CHANNELS_SCALED = 34
MAVLINK_MSG_ID_RC_CHANNELS_RAW = 35
MAVLINK_MSG_ID_SERVO_OUTPUT_RAW = 36
MAVLINK_MSG_ID_MISSION_REQUEST_PARTIAL_LIST = 37
MAVLINK_MSG_ID_MISSION_WRITE_PARTIAL_LIST = 38
MAVLINK_MSG_ID_MISSION_ITEM = 39
MAVLINK_MSG_ID_MISSION_REQUEST = 40
MAVLINK_MSG_ID_MISSION_SET_CURRENT = 41
MAVLINK_MSG_ID_MISSION_CURRENT = 42
MAVLINK_MSG_ID_MISSION_REQUEST_LIST = 43
MAVLINK_MSG_ID_MISSION_COUNT = 44
MAVLINK_MSG_ID_MISSION_CLEAR_ALL = 45
MAVLINK_MSG_ID_MISSION_ITEM_REACHED = 46
MAVLINK_MSG_ID_MISSION_ACK = 47
MAVLINK_MSG_ID_SET_GPS_GLOBAL_ORIGIN = 48
MAVLINK_MSG_ID_GPS_GLOBAL_ORIGIN = 49
MAVLINK_MSG_ID_SET_LOCAL_POSITION_SETPOINT = 50
MAVLINK_MSG_ID_LOCAL_POSITION_SETPOINT = 51
MAVLINK_MSG_ID_GLOBAL_POSITION_SETPOINT_INT = 52
MAVLINK_MSG_ID_SET_GLOBAL_POSITION_SETPOINT_INT = 53
MAVLINK_MSG_ID_SAFETY_SET_ALLOWED_AREA = 54
MAVLINK_MSG_ID_SAFETY_ALLOWED_AREA = 55
MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_THRUST = 56
MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_SPEED_THRUST = 57
MAVLINK_MSG_ID_ROLL_PITCH_YAW_THRUST_SETPOINT = 58
MAVLINK_MSG_ID_ROLL_PITCH_YAW_SPEED_THRUST_SETPOINT = 59
MAVLINK_MSG_ID_SET_QUAD_MOTORS_SETPOINT = 60
MAVLINK_MSG_ID_SET_QUAD_SWARM_ROLL_PITCH_YAW_THRUST = 61
MAVLINK_MSG_ID_NAV_CONTROLLER_OUTPUT = 62
MAVLINK_MSG_ID_SET_QUAD_SWARM_LED_ROLL_PITCH_YAW_THRUST = 63
MAVLINK_MSG_ID_STATE_CORRECTION = 64
MAVLINK_MSG_ID_REQUEST_DATA_STREAM = 66
MAVLINK_MSG_ID_DATA_STREAM = 67
MAVLINK_MSG_ID_MANUAL_CONTROL = 69
MAVLINK_MSG_ID_RC_CHANNELS_OVERRIDE = 70
MAVLINK_MSG_ID_VFR_HUD = 74
MAVLINK_MSG_ID_COMMAND_LONG = 76
MAVLINK_MSG_ID_COMMAND_ACK = 77
MAVLINK_MSG_ID_ROLL_PITCH_YAW_RATES_THRUST_SETPOINT = 80
MAVLINK_MSG_ID_MANUAL_SETPOINT = 81
MAVLINK_MSG_ID_LOCAL_POSITION_NED_SYSTEM_GLOBAL_OFFSET = 89
MAVLINK_MSG_ID_HIL_STATE = 90
MAVLINK_MSG_ID_HIL_CONTROLS = 91
MAVLINK_MSG_ID_HIL_RC_INPUTS_RAW = 92
MAVLINK_MSG_ID_OPTICAL_FLOW = 100
MAVLINK_MSG_ID_GLOBAL_VISION_POSITION_ESTIMATE = 101
MAVLINK_MSG_ID_VISION_POSITION_ESTIMATE = 102
MAVLINK_MSG_ID_VISION_SPEED_ESTIMATE = 103
MAVLINK_MSG_ID_VICON_POSITION_ESTIMATE = 104
MAVLINK_MSG_ID_HIGHRES_IMU = 105
MAVLINK_MSG_ID_FILE_TRANSFER_START = 110
MAVLINK_MSG_ID_FILE_TRANSFER_DIR_LIST = 111
MAVLINK_MSG_ID_FILE_TRANSFER_RES = 112
MAVLINK_MSG_ID_BATTERY_STATUS = 147
MAVLINK_MSG_ID_SETPOINT_8DOF = 148
MAVLINK_MSG_ID_SETPOINT_6DOF = 149
MAVLINK_MSG_ID_MEMORY_VECT = 249
MAVLINK_MSG_ID_DEBUG_VECT = 250
MAVLINK_MSG_ID_NAMED_VALUE_FLOAT = 251
MAVLINK_MSG_ID_NAMED_VALUE_INT = 252
MAVLINK_MSG_ID_STATUSTEXT = 253
MAVLINK_MSG_ID_DEBUG = 254
class MAVLink_heartbeat_message(MAVLink_message):
'''
The heartbeat message shows that a system is present and
responding. The type of the MAV and Autopilot hardware allow
the receiving system to treat further messages from this
system appropriate (e.g. by laying out the user interface
based on the autopilot).
'''
def __init__(self, type, autopilot, base_mode, custom_mode, system_status, mavlink_version):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_HEARTBEAT, 'HEARTBEAT')
self._fieldnames = ['type', 'autopilot', 'base_mode', 'custom_mode', 'system_status', 'mavlink_version']
self.type = type
self.autopilot = autopilot
self.base_mode = base_mode
self.custom_mode = custom_mode
self.system_status = system_status
self.mavlink_version = mavlink_version
def pack(self, mav):
return MAVLink_message.pack(self, mav, 50, struct.pack('<IBBBBB', self.custom_mode, self.type, self.autopilot, self.base_mode, self.system_status, self.mavlink_version))
class MAVLink_sys_status_message(MAVLink_message):
'''
The general system state. If the system is following the
MAVLink standard, the system state is mainly defined by three
orthogonal states/modes: The system mode, which is either
LOCKED (motors shut down and locked), MANUAL (system under RC
control), GUIDED (system with autonomous position control,
position setpoint controlled manually) or AUTO (system guided
by path/waypoint planner). The NAV_MODE defined the current
flight state: LIFTOFF (often an open-loop maneuver), LANDING,
WAYPOINTS or VECTOR. This represents the internal navigation
state machine. The system status shows wether the system is
currently active or not and if an emergency occured. During
the CRITICAL and EMERGENCY states the MAV is still considered
to be active, but should start emergency procedures
autonomously. After a failure occured it should first move
from active to critical to allow manual intervention and then
move to emergency after a certain timeout.
'''
def __init__(self, onboard_control_sensors_present, onboard_control_sensors_enabled, onboard_control_sensors_health, load, voltage_battery, current_battery, battery_remaining, drop_rate_comm, errors_comm, errors_count1, errors_count2, errors_count3, errors_count4):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SYS_STATUS, 'SYS_STATUS')
self._fieldnames = ['onboard_control_sensors_present', 'onboard_control_sensors_enabled', 'onboard_control_sensors_health', 'load', 'voltage_battery', 'current_battery', 'battery_remaining', 'drop_rate_comm', 'errors_comm', 'errors_count1', 'errors_count2', 'errors_count3', 'errors_count4']
self.onboard_control_sensors_present = onboard_control_sensors_present
self.onboard_control_sensors_enabled = onboard_control_sensors_enabled
self.onboard_control_sensors_health = onboard_control_sensors_health
self.load = load
self.voltage_battery = voltage_battery
self.current_battery = current_battery
self.battery_remaining = battery_remaining
self.drop_rate_comm = drop_rate_comm
self.errors_comm = errors_comm
self.errors_count1 = errors_count1
self.errors_count2 = errors_count2
self.errors_count3 = errors_count3
self.errors_count4 = errors_count4
def pack(self, mav):
return MAVLink_message.pack(self, mav, 124, struct.pack('<IIIHHhHHHHHHb', self.onboard_control_sensors_present, self.onboard_control_sensors_enabled, self.onboard_control_sensors_health, self.load, self.voltage_battery, self.current_battery, self.drop_rate_comm, self.errors_comm, self.errors_count1, self.errors_count2, self.errors_count3, self.errors_count4, self.battery_remaining))
class MAVLink_system_time_message(MAVLink_message):
'''
The system time is the time of the master clock, typically the
computer clock of the main onboard computer.
'''
def __init__(self, time_unix_usec, time_boot_ms):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SYSTEM_TIME, 'SYSTEM_TIME')
self._fieldnames = ['time_unix_usec', 'time_boot_ms']
self.time_unix_usec = time_unix_usec
self.time_boot_ms = time_boot_ms
def pack(self, mav):
return MAVLink_message.pack(self, mav, 137, struct.pack('<QI', self.time_unix_usec, self.time_boot_ms))
class MAVLink_ping_message(MAVLink_message):
'''
A ping message either requesting or responding to a ping. This
allows to measure the system latencies, including serial port,
radio modem and UDP connections.
'''
def __init__(self, time_usec, seq, target_system, target_component):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_PING, 'PING')
self._fieldnames = ['time_usec', 'seq', 'target_system', 'target_component']
self.time_usec = time_usec
self.seq = seq
self.target_system = target_system
self.target_component = target_component
def pack(self, mav):
return MAVLink_message.pack(self, mav, 237, struct.pack('<QIBB', self.time_usec, self.seq, self.target_system, self.target_component))
class MAVLink_change_operator_control_message(MAVLink_message):
'''
Request to control this MAV
'''
def __init__(self, target_system, control_request, version, passkey):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL, 'CHANGE_OPERATOR_CONTROL')
self._fieldnames = ['target_system', 'control_request', 'version', 'passkey']
self.target_system = target_system
self.control_request = control_request
self.version = version
self.passkey = passkey
def pack(self, mav):
return MAVLink_message.pack(self, mav, 217, struct.pack('<BBB25s', self.target_system, self.control_request, self.version, self.passkey))
class MAVLink_change_operator_control_ack_message(MAVLink_message):
'''
Accept / deny control of this MAV
'''
def __init__(self, gcs_system_id, control_request, ack):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL_ACK, 'CHANGE_OPERATOR_CONTROL_ACK')
self._fieldnames = ['gcs_system_id', 'control_request', 'ack']
self.gcs_system_id = gcs_system_id
self.control_request = control_request
self.ack = ack
def pack(self, mav):
return MAVLink_message.pack(self, mav, 104, struct.pack('<BBB', self.gcs_system_id, self.control_request, self.ack))
class MAVLink_auth_key_message(MAVLink_message):
'''
Emit an encrypted signature / key identifying this system.
PLEASE NOTE: This protocol has been kept simple, so
transmitting the key requires an encrypted channel for true
safety.
'''
def __init__(self, key):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_AUTH_KEY, 'AUTH_KEY')
self._fieldnames = ['key']
self.key = key
def pack(self, mav):
return MAVLink_message.pack(self, mav, 119, struct.pack('<32s', self.key))
class MAVLink_set_mode_message(MAVLink_message):
'''
Set the system mode, as defined by enum MAV_MODE. There is no
target component id as the mode is by definition for the
overall aircraft, not only for one component.
'''
def __init__(self, target_system, base_mode, custom_mode):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_MODE, 'SET_MODE')
self._fieldnames = ['target_system', 'base_mode', 'custom_mode']
self.target_system = target_system
self.base_mode = base_mode
self.custom_mode = custom_mode
def pack(self, mav):
return MAVLink_message.pack(self, mav, 89, struct.pack('<IBB', self.custom_mode, self.target_system, self.base_mode))
class MAVLink_param_request_read_message(MAVLink_message):
'''
Request to read the onboard parameter with the param_id string
id. Onboard parameters are stored as key[const char*] ->
value[float]. This allows to send a parameter to any other
component (such as the GCS) without the need of previous
knowledge of possible parameter names. Thus the same GCS can
store different parameters for different autopilots. See also
http://qgroundcontrol.org/parameter_interface for a full
documentation of QGroundControl and IMU code.
'''
def __init__(self, target_system, target_component, param_id, param_index):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_PARAM_REQUEST_READ, 'PARAM_REQUEST_READ')
self._fieldnames = ['target_system', 'target_component', 'param_id', 'param_index']
self.target_system = target_system
self.target_component = target_component
self.param_id = param_id
self.param_index = param_index
def pack(self, mav):
return MAVLink_message.pack(self, mav, 214, struct.pack('<hBB16s', self.param_index, self.target_system, self.target_component, self.param_id))
class MAVLink_param_request_list_message(MAVLink_message):
'''
Request all parameters of this component. After his request,
all parameters are emitted.
'''
def __init__(self, target_system, target_component):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_PARAM_REQUEST_LIST, 'PARAM_REQUEST_LIST')
self._fieldnames = ['target_system', 'target_component']
self.target_system = target_system
self.target_component = target_component
def pack(self, mav):
return MAVLink_message.pack(self, mav, 159, struct.pack('<BB', self.target_system, self.target_component))
class MAVLink_param_value_message(MAVLink_message):
'''
Emit the value of a onboard parameter. The inclusion of
param_count and param_index in the message allows the
recipient to keep track of received parameters and allows him
to re-request missing parameters after a loss or timeout.
'''
def __init__(self, param_id, param_value, param_type, param_count, param_index):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_PARAM_VALUE, 'PARAM_VALUE')
self._fieldnames = ['param_id', 'param_value', 'param_type', 'param_count', 'param_index']
self.param_id = param_id
self.param_value = param_value
self.param_type = param_type
self.param_count = param_count
self.param_index = param_index
def pack(self, mav):
return MAVLink_message.pack(self, mav, 220, struct.pack('<fHH16sB', self.param_value, self.param_count, self.param_index, self.param_id, self.param_type))
class MAVLink_param_set_message(MAVLink_message):
'''
Set a parameter value TEMPORARILY to RAM. It will be reset to
default on system reboot. Send the ACTION
MAV_ACTION_STORAGE_WRITE to PERMANENTLY write the RAM contents
to EEPROM. IMPORTANT: The receiving component should
acknowledge the new parameter value by sending a param_value
message to all communication partners. This will also ensure
that multiple GCS all have an up-to-date list of all
parameters. If the sending GCS did not receive a PARAM_VALUE
message within its timeout time, it should re-send the
PARAM_SET message.
'''
def __init__(self, target_system, target_component, param_id, param_value, param_type):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_PARAM_SET, 'PARAM_SET')
self._fieldnames = ['target_system', 'target_component', 'param_id', 'param_value', 'param_type']
self.target_system = target_system
self.target_component = target_component
self.param_id = param_id
self.param_value = param_value
self.param_type = param_type
def pack(self, mav):
return MAVLink_message.pack(self, mav, 168, struct.pack('<fBB16sB', self.param_value, self.target_system, self.target_component, self.param_id, self.param_type))
class MAVLink_gps_raw_int_message(MAVLink_message):
'''
The global position, as returned by the Global Positioning
System (GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value. See
message GLOBAL_POSITION for the global position estimate.
Coordinate frame is right-handed, Z-axis up (GPS frame).
'''
def __init__(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GPS_RAW_INT, 'GPS_RAW_INT')
self._fieldnames = ['time_usec', 'fix_type', 'lat', 'lon', 'alt', 'eph', 'epv', 'vel', 'cog', 'satellites_visible']
self.time_usec = time_usec
self.fix_type = fix_type
self.lat = lat
self.lon = lon
self.alt = alt
self.eph = eph
self.epv = epv
self.vel = vel
self.cog = cog
self.satellites_visible = satellites_visible
def pack(self, mav):
return MAVLink_message.pack(self, mav, 24, struct.pack('<QiiiHHHHBB', self.time_usec, self.lat, self.lon, self.alt, self.eph, self.epv, self.vel, self.cog, self.fix_type, self.satellites_visible))
class MAVLink_gps_status_message(MAVLink_message):
'''
The positioning status, as reported by GPS. This message is
intended to display status information about each satellite
visible to the receiver. See message GLOBAL_POSITION for the
global position estimate. This message can contain information
for up to 20 satellites.
'''
def __init__(self, satellites_visible, satellite_prn, satellite_used, satellite_elevation, satellite_azimuth, satellite_snr):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GPS_STATUS, 'GPS_STATUS')
self._fieldnames = ['satellites_visible', 'satellite_prn', 'satellite_used', 'satellite_elevation', 'satellite_azimuth', 'satellite_snr']
self.satellites_visible = satellites_visible
self.satellite_prn = satellite_prn
self.satellite_used = satellite_used
self.satellite_elevation = satellite_elevation
self.satellite_azimuth = satellite_azimuth
self.satellite_snr = satellite_snr
def pack(self, mav):
return MAVLink_message.pack(self, mav, 23, struct.pack('<B20s20s20s20s20s', self.satellites_visible, self.satellite_prn, self.satellite_used, self.satellite_elevation, self.satellite_azimuth, self.satellite_snr))
class MAVLink_scaled_imu_message(MAVLink_message):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This
message should contain the scaled values to the described
units
'''
def __init__(self, time_boot_ms, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SCALED_IMU, 'SCALED_IMU')
self._fieldnames = ['time_boot_ms', 'xacc', 'yacc', 'zacc', 'xgyro', 'ygyro', 'zgyro', 'xmag', 'ymag', 'zmag']
self.time_boot_ms = time_boot_ms
self.xacc = xacc
self.yacc = yacc
self.zacc = zacc
self.xgyro = xgyro
self.ygyro = ygyro
self.zgyro = zgyro
self.xmag = xmag
self.ymag = ymag
self.zmag = zmag
def pack(self, mav):
return MAVLink_message.pack(self, mav, 170, struct.pack('<Ihhhhhhhhh', self.time_boot_ms, self.xacc, self.yacc, self.zacc, self.xgyro, self.ygyro, self.zgyro, self.xmag, self.ymag, self.zmag))
class MAVLink_raw_imu_message(MAVLink_message):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This
message should always contain the true raw values without any
scaling to allow data capture and system debugging.
'''
def __init__(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_RAW_IMU, 'RAW_IMU')
self._fieldnames = ['time_usec', 'xacc', 'yacc', 'zacc', 'xgyro', 'ygyro', 'zgyro', 'xmag', 'ymag', 'zmag']
self.time_usec = time_usec
self.xacc = xacc
self.yacc = yacc
self.zacc = zacc
self.xgyro = xgyro
self.ygyro = ygyro
self.zgyro = zgyro
self.xmag = xmag
self.ymag = ymag
self.zmag = zmag
def pack(self, mav):
return MAVLink_message.pack(self, mav, 144, struct.pack('<Qhhhhhhhhh', self.time_usec, self.xacc, self.yacc, self.zacc, self.xgyro, self.ygyro, self.zgyro, self.xmag, self.ymag, self.zmag))
class MAVLink_raw_pressure_message(MAVLink_message):
'''
The RAW pressure readings for the typical setup of one
absolute pressure and one differential pressure sensor. The
sensor values should be the raw, UNSCALED ADC values.
'''
def __init__(self, time_usec, press_abs, press_diff1, press_diff2, temperature):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_RAW_PRESSURE, 'RAW_PRESSURE')
self._fieldnames = ['time_usec', 'press_abs', 'press_diff1', 'press_diff2', 'temperature']
self.time_usec = time_usec
self.press_abs = press_abs
self.press_diff1 = press_diff1
self.press_diff2 = press_diff2
self.temperature = temperature
def pack(self, mav):
return MAVLink_message.pack(self, mav, 67, struct.pack('<Qhhhh', self.time_usec, self.press_abs, self.press_diff1, self.press_diff2, self.temperature))
class MAVLink_scaled_pressure_message(MAVLink_message):
'''
The pressure readings for the typical setup of one absolute
and differential pressure sensor. The units are as specified
in each field.
'''
def __init__(self, time_boot_ms, press_abs, press_diff, temperature):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SCALED_PRESSURE, 'SCALED_PRESSURE')
self._fieldnames = ['time_boot_ms', 'press_abs', 'press_diff', 'temperature']
self.time_boot_ms = time_boot_ms
self.press_abs = press_abs
self.press_diff = press_diff
self.temperature = temperature
def pack(self, mav):
return MAVLink_message.pack(self, mav, 115, struct.pack('<Iffh', self.time_boot_ms, self.press_abs, self.press_diff, self.temperature))
class MAVLink_attitude_message(MAVLink_message):
'''
The attitude in the aeronautical frame (right-handed, Z-down,
X-front, Y-right).
'''
def __init__(self, time_boot_ms, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_ATTITUDE, 'ATTITUDE')
self._fieldnames = ['time_boot_ms', 'roll', 'pitch', 'yaw', 'rollspeed', 'pitchspeed', 'yawspeed']
self.time_boot_ms = time_boot_ms
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.rollspeed = rollspeed
self.pitchspeed = pitchspeed
self.yawspeed = yawspeed
def pack(self, mav):
return MAVLink_message.pack(self, mav, 39, struct.pack('<Iffffff', self.time_boot_ms, self.roll, self.pitch, self.yaw, self.rollspeed, self.pitchspeed, self.yawspeed))
class MAVLink_attitude_quaternion_message(MAVLink_message):
'''
The attitude in the aeronautical frame (right-handed, Z-down,
X-front, Y-right), expressed as quaternion.
'''
def __init__(self, time_boot_ms, q1, q2, q3, q4, rollspeed, pitchspeed, yawspeed):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_ATTITUDE_QUATERNION, 'ATTITUDE_QUATERNION')
self._fieldnames = ['time_boot_ms', 'q1', 'q2', 'q3', 'q4', 'rollspeed', 'pitchspeed', 'yawspeed']
self.time_boot_ms = time_boot_ms
self.q1 = q1
self.q2 = q2
self.q3 = q3
self.q4 = q4
self.rollspeed = rollspeed
self.pitchspeed = pitchspeed
self.yawspeed = yawspeed
def pack(self, mav):
return MAVLink_message.pack(self, mav, 246, struct.pack('<Ifffffff', self.time_boot_ms, self.q1, self.q2, self.q3, self.q4, self.rollspeed, self.pitchspeed, self.yawspeed))
class MAVLink_local_position_ned_message(MAVLink_message):
'''
The filtered local position (e.g. fused computer vision and
accelerometers). Coordinate frame is right-handed, Z-axis down
(aeronautical frame, NED / north-east-down convention)
'''
def __init__(self, time_boot_ms, x, y, z, vx, vy, vz):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_LOCAL_POSITION_NED, 'LOCAL_POSITION_NED')
self._fieldnames = ['time_boot_ms', 'x', 'y', 'z', 'vx', 'vy', 'vz']
self.time_boot_ms = time_boot_ms
self.x = x
self.y = y
self.z = z
self.vx = vx
self.vy = vy
self.vz = vz
def pack(self, mav):
return MAVLink_message.pack(self, mav, 185, struct.pack('<Iffffff', self.time_boot_ms, self.x, self.y, self.z, self.vx, self.vy, self.vz))
class MAVLink_global_position_int_message(MAVLink_message):
'''
The filtered global position (e.g. fused GPS and
accelerometers). The position is in GPS-frame (right-handed,
Z-up). It is designed as scaled integer message
since the resolution of float is not sufficient.
'''
def __init__(self, time_boot_ms, lat, lon, alt, relative_alt, vx, vy, vz, hdg):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GLOBAL_POSITION_INT, 'GLOBAL_POSITION_INT')
self._fieldnames = ['time_boot_ms', 'lat', 'lon', 'alt', 'relative_alt', 'vx', 'vy', 'vz', 'hdg']
self.time_boot_ms = time_boot_ms
self.lat = lat
self.lon = lon
self.alt = alt
self.relative_alt = relative_alt
self.vx = vx
self.vy = vy
self.vz = vz
self.hdg = hdg
def pack(self, mav):
return MAVLink_message.pack(self, mav, 104, struct.pack('<IiiiihhhH', self.time_boot_ms, self.lat, self.lon, self.alt, self.relative_alt, self.vx, self.vy, self.vz, self.hdg))
class MAVLink_rc_channels_scaled_message(MAVLink_message):
'''
The scaled values of the RC channels received. (-100%) -10000,
(0%) 0, (100%) 10000. Channels that are inactive should be set
to 65535.
'''
def __init__(self, time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_RC_CHANNELS_SCALED, 'RC_CHANNELS_SCALED')
self._fieldnames = ['time_boot_ms', 'port', 'chan1_scaled', 'chan2_scaled', 'chan3_scaled', 'chan4_scaled', 'chan5_scaled', 'chan6_scaled', 'chan7_scaled', 'chan8_scaled', 'rssi']
self.time_boot_ms = time_boot_ms
self.port = port
self.chan1_scaled = chan1_scaled
self.chan2_scaled = chan2_scaled
self.chan3_scaled = chan3_scaled
self.chan4_scaled = chan4_scaled
self.chan5_scaled = chan5_scaled
self.chan6_scaled = chan6_scaled
self.chan7_scaled = chan7_scaled
self.chan8_scaled = chan8_scaled
self.rssi = rssi
def pack(self, mav):
return MAVLink_message.pack(self, mav, 237, struct.pack('<IhhhhhhhhBB', self.time_boot_ms, self.chan1_scaled, self.chan2_scaled, self.chan3_scaled, self.chan4_scaled, self.chan5_scaled, self.chan6_scaled, self.chan7_scaled, self.chan8_scaled, self.port, self.rssi))
class MAVLink_rc_channels_raw_message(MAVLink_message):
'''
The RAW values of the RC channels received. The standard PPM
modulation is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%. Individual receivers/transmitters might
violate this specification.
'''
def __init__(self, time_boot_ms, port, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, rssi):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_RC_CHANNELS_RAW, 'RC_CHANNELS_RAW')
self._fieldnames = ['time_boot_ms', 'port', 'chan1_raw', 'chan2_raw', 'chan3_raw', 'chan4_raw', 'chan5_raw', 'chan6_raw', 'chan7_raw', 'chan8_raw', 'rssi']
self.time_boot_ms = time_boot_ms
self.port = port
self.chan1_raw = chan1_raw
self.chan2_raw = chan2_raw
self.chan3_raw = chan3_raw
self.chan4_raw = chan4_raw
self.chan5_raw = chan5_raw
self.chan6_raw = chan6_raw
self.chan7_raw = chan7_raw
self.chan8_raw = chan8_raw
self.rssi = rssi
def pack(self, mav):
return MAVLink_message.pack(self, mav, 244, struct.pack('<IHHHHHHHHBB', self.time_boot_ms, self.chan1_raw, self.chan2_raw, self.chan3_raw, self.chan4_raw, self.chan5_raw, self.chan6_raw, self.chan7_raw, self.chan8_raw, self.port, self.rssi))
class MAVLink_servo_output_raw_message(MAVLink_message):
'''
The RAW values of the servo outputs (for RC input from the
remote, use the RC_CHANNELS messages). The standard PPM
modulation is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%.
'''
def __init__(self, time_boot_ms, port, servo1_raw, servo2_raw, servo3_raw, servo4_raw, servo5_raw, servo6_raw, servo7_raw, servo8_raw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SERVO_OUTPUT_RAW, 'SERVO_OUTPUT_RAW')
self._fieldnames = ['time_boot_ms', 'port', 'servo1_raw', 'servo2_raw', 'servo3_raw', 'servo4_raw', 'servo5_raw', 'servo6_raw', 'servo7_raw', 'servo8_raw']
self.time_boot_ms = time_boot_ms
self.port = port
self.servo1_raw = servo1_raw
self.servo2_raw = servo2_raw
self.servo3_raw = servo3_raw
self.servo4_raw = servo4_raw
self.servo5_raw = servo5_raw
self.servo6_raw = servo6_raw
self.servo7_raw = servo7_raw
self.servo8_raw = servo8_raw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 242, struct.pack('<IHHHHHHHHB', self.time_boot_ms, self.servo1_raw, self.servo2_raw, self.servo3_raw, self.servo4_raw, self.servo5_raw, self.servo6_raw, self.servo7_raw, self.servo8_raw, self.port))
class MAVLink_mission_request_partial_list_message(MAVLink_message):
'''
Request a partial list of mission items from the
system/component.
http://qgroundcontrol.org/mavlink/waypoint_protocol. If start
and end index are the same, just send one waypoint.
'''
def __init__(self, target_system, target_component, start_index, end_index):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_REQUEST_PARTIAL_LIST, 'MISSION_REQUEST_PARTIAL_LIST')
self._fieldnames = ['target_system', 'target_component', 'start_index', 'end_index']
self.target_system = target_system
self.target_component = target_component
self.start_index = start_index
self.end_index = end_index
def pack(self, mav):
return MAVLink_message.pack(self, mav, 212, struct.pack('<hhBB', self.start_index, self.end_index, self.target_system, self.target_component))
class MAVLink_mission_write_partial_list_message(MAVLink_message):
'''
This message is sent to the MAV to write a partial list. If
start index == end index, only one item will be transmitted /
updated. If the start index is NOT 0 and above the current
list size, this request should be REJECTED!
'''
def __init__(self, target_system, target_component, start_index, end_index):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_WRITE_PARTIAL_LIST, 'MISSION_WRITE_PARTIAL_LIST')
self._fieldnames = ['target_system', 'target_component', 'start_index', 'end_index']
self.target_system = target_system
self.target_component = target_component
self.start_index = start_index
self.end_index = end_index
def pack(self, mav):
return MAVLink_message.pack(self, mav, 9, struct.pack('<hhBB', self.start_index, self.end_index, self.target_system, self.target_component))
class MAVLink_mission_item_message(MAVLink_message):
'''
Message encoding a mission item. This message is emitted to
announce the presence of a mission item and to
set a mission item on the system. The mission item can be
either in x, y, z meters (type: LOCAL) or x:lat, y:lon,
z:altitude. Local frame is Z-down, right handed (NED), global
frame is Z-up, right handed (ENU). See also
http://qgroundcontrol.org/mavlink/waypoint_protocol.
'''
def __init__(self, target_system, target_component, seq, frame, command, current, autocontinue, param1, param2, param3, param4, x, y, z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_ITEM, 'MISSION_ITEM')
self._fieldnames = ['target_system', 'target_component', 'seq', 'frame', 'command', 'current', 'autocontinue', 'param1', 'param2', 'param3', 'param4', 'x', 'y', 'z']
self.target_system = target_system
self.target_component = target_component
self.seq = seq
self.frame = frame
self.command = command
self.current = current
self.autocontinue = autocontinue
self.param1 = param1
self.param2 = param2
self.param3 = param3
self.param4 = param4
self.x = x
self.y = y
self.z = z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 254, struct.pack('<fffffffHHBBBBB', self.param1, self.param2, self.param3, self.param4, self.x, self.y, self.z, self.seq, self.command, self.target_system, self.target_component, self.frame, self.current, self.autocontinue))
class MAVLink_mission_request_message(MAVLink_message):
'''
Request the information of the mission item with the sequence
number seq. The response of the system to this message should
be a MISSION_ITEM message.
http://qgroundcontrol.org/mavlink/waypoint_protocol
'''
def __init__(self, target_system, target_component, seq):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_REQUEST, 'MISSION_REQUEST')
self._fieldnames = ['target_system', 'target_component', 'seq']
self.target_system = target_system
self.target_component = target_component
self.seq = seq
def pack(self, mav):
return MAVLink_message.pack(self, mav, 230, struct.pack('<HBB', self.seq, self.target_system, self.target_component))
class MAVLink_mission_set_current_message(MAVLink_message):
'''
Set the mission item with sequence number seq as current item.
This means that the MAV will continue to this mission item on
the shortest path (not following the mission items in-
between).
'''
def __init__(self, target_system, target_component, seq):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_SET_CURRENT, 'MISSION_SET_CURRENT')
self._fieldnames = ['target_system', 'target_component', 'seq']
self.target_system = target_system
self.target_component = target_component
self.seq = seq
def pack(self, mav):
return MAVLink_message.pack(self, mav, 28, struct.pack('<HBB', self.seq, self.target_system, self.target_component))
class MAVLink_mission_current_message(MAVLink_message):
'''
Message that announces the sequence number of the current
active mission item. The MAV will fly towards this mission
item.
'''
def __init__(self, seq):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_CURRENT, 'MISSION_CURRENT')
self._fieldnames = ['seq']
self.seq = seq
def pack(self, mav):
return MAVLink_message.pack(self, mav, 28, struct.pack('<H', self.seq))
class MAVLink_mission_request_list_message(MAVLink_message):
'''
Request the overall list of mission items from the
system/component.
'''
def __init__(self, target_system, target_component):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_REQUEST_LIST, 'MISSION_REQUEST_LIST')
self._fieldnames = ['target_system', 'target_component']
self.target_system = target_system
self.target_component = target_component
def pack(self, mav):
return MAVLink_message.pack(self, mav, 132, struct.pack('<BB', self.target_system, self.target_component))
class MAVLink_mission_count_message(MAVLink_message):
'''
This message is emitted as response to MISSION_REQUEST_LIST by
the MAV and to initiate a write transaction. The GCS can then
request the individual mission item based on the knowledge of
the total number of MISSIONs.
'''
def __init__(self, target_system, target_component, count):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_COUNT, 'MISSION_COUNT')
self._fieldnames = ['target_system', 'target_component', 'count']
self.target_system = target_system
self.target_component = target_component
self.count = count
def pack(self, mav):
return MAVLink_message.pack(self, mav, 221, struct.pack('<HBB', self.count, self.target_system, self.target_component))
class MAVLink_mission_clear_all_message(MAVLink_message):
'''
Delete all mission items at once.
'''
def __init__(self, target_system, target_component):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_CLEAR_ALL, 'MISSION_CLEAR_ALL')
self._fieldnames = ['target_system', 'target_component']
self.target_system = target_system
self.target_component = target_component
def pack(self, mav):
return MAVLink_message.pack(self, mav, 232, struct.pack('<BB', self.target_system, self.target_component))
class MAVLink_mission_item_reached_message(MAVLink_message):
'''
A certain mission item has been reached. The system will
either hold this position (or circle on the orbit) or (if the
autocontinue on the WP was set) continue to the next MISSION.
'''
def __init__(self, seq):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_ITEM_REACHED, 'MISSION_ITEM_REACHED')
self._fieldnames = ['seq']
self.seq = seq
def pack(self, mav):
return MAVLink_message.pack(self, mav, 11, struct.pack('<H', self.seq))
class MAVLink_mission_ack_message(MAVLink_message):
'''
Ack message during MISSION handling. The type field states if
this message is a positive ack (type=0) or if an error
happened (type=non-zero).
'''
def __init__(self, target_system, target_component, type):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MISSION_ACK, 'MISSION_ACK')
self._fieldnames = ['target_system', 'target_component', 'type']
self.target_system = target_system
self.target_component = target_component
self.type = type
def pack(self, mav):
return MAVLink_message.pack(self, mav, 153, struct.pack('<BBB', self.target_system, self.target_component, self.type))
class MAVLink_set_gps_global_origin_message(MAVLink_message):
'''
As local waypoints exist, the global MISSION reference allows
to transform between the local coordinate frame and the global
(GPS) coordinate frame. This can be necessary when e.g. in-
and outdoor settings are connected and the MAV should move
from in- to outdoor.
'''
def __init__(self, target_system, latitude, longitude, altitude):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_GPS_GLOBAL_ORIGIN, 'SET_GPS_GLOBAL_ORIGIN')
self._fieldnames = ['target_system', 'latitude', 'longitude', 'altitude']
self.target_system = target_system
self.latitude = latitude
self.longitude = longitude
self.altitude = altitude
def pack(self, mav):
return MAVLink_message.pack(self, mav, 41, struct.pack('<iiiB', self.latitude, self.longitude, self.altitude, self.target_system))
class MAVLink_gps_global_origin_message(MAVLink_message):
'''
Once the MAV sets a new GPS-Local correspondence, this message
announces the origin (0,0,0) position
'''
def __init__(self, latitude, longitude, altitude):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GPS_GLOBAL_ORIGIN, 'GPS_GLOBAL_ORIGIN')
self._fieldnames = ['latitude', 'longitude', 'altitude']
self.latitude = latitude
self.longitude = longitude
self.altitude = altitude
def pack(self, mav):
return MAVLink_message.pack(self, mav, 39, struct.pack('<iii', self.latitude, self.longitude, self.altitude))
class MAVLink_set_local_position_setpoint_message(MAVLink_message):
'''
Set the setpoint for a local position controller. This is the
position in local coordinates the MAV should fly to. This
message is sent by the path/MISSION planner to the onboard
position controller. As some MAVs have a degree of freedom in
yaw (e.g. all helicopters/quadrotors), the desired yaw angle
is part of the message.
'''
def __init__(self, target_system, target_component, coordinate_frame, x, y, z, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_LOCAL_POSITION_SETPOINT, 'SET_LOCAL_POSITION_SETPOINT')
self._fieldnames = ['target_system', 'target_component', 'coordinate_frame', 'x', 'y', 'z', 'yaw']
self.target_system = target_system
self.target_component = target_component
self.coordinate_frame = coordinate_frame
self.x = x
self.y = y
self.z = z
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 214, struct.pack('<ffffBBB', self.x, self.y, self.z, self.yaw, self.target_system, self.target_component, self.coordinate_frame))
class MAVLink_local_position_setpoint_message(MAVLink_message):
'''
Transmit the current local setpoint of the controller to other
MAVs (collision avoidance) and to the GCS.
'''
def __init__(self, coordinate_frame, x, y, z, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_LOCAL_POSITION_SETPOINT, 'LOCAL_POSITION_SETPOINT')
self._fieldnames = ['coordinate_frame', 'x', 'y', 'z', 'yaw']
self.coordinate_frame = coordinate_frame
self.x = x
self.y = y
self.z = z
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 223, struct.pack('<ffffB', self.x, self.y, self.z, self.yaw, self.coordinate_frame))
class MAVLink_global_position_setpoint_int_message(MAVLink_message):
'''
Transmit the current local setpoint of the controller to other
MAVs (collision avoidance) and to the GCS.
'''
def __init__(self, coordinate_frame, latitude, longitude, altitude, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GLOBAL_POSITION_SETPOINT_INT, 'GLOBAL_POSITION_SETPOINT_INT')
self._fieldnames = ['coordinate_frame', 'latitude', 'longitude', 'altitude', 'yaw']
self.coordinate_frame = coordinate_frame
self.latitude = latitude
self.longitude = longitude
self.altitude = altitude
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 141, struct.pack('<iiihB', self.latitude, self.longitude, self.altitude, self.yaw, self.coordinate_frame))
class MAVLink_set_global_position_setpoint_int_message(MAVLink_message):
'''
Set the current global position setpoint.
'''
def __init__(self, coordinate_frame, latitude, longitude, altitude, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_GLOBAL_POSITION_SETPOINT_INT, 'SET_GLOBAL_POSITION_SETPOINT_INT')
self._fieldnames = ['coordinate_frame', 'latitude', 'longitude', 'altitude', 'yaw']
self.coordinate_frame = coordinate_frame
self.latitude = latitude
self.longitude = longitude
self.altitude = altitude
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 33, struct.pack('<iiihB', self.latitude, self.longitude, self.altitude, self.yaw, self.coordinate_frame))
class MAVLink_safety_set_allowed_area_message(MAVLink_message):
'''
Set a safety zone (volume), which is defined by two corners of
a cube. This message can be used to tell the MAV which
setpoints/MISSIONs to accept and which to reject. Safety areas
are often enforced by national or competition regulations.
'''
def __init__(self, target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SAFETY_SET_ALLOWED_AREA, 'SAFETY_SET_ALLOWED_AREA')
self._fieldnames = ['target_system', 'target_component', 'frame', 'p1x', 'p1y', 'p1z', 'p2x', 'p2y', 'p2z']
self.target_system = target_system
self.target_component = target_component
self.frame = frame
self.p1x = p1x
self.p1y = p1y
self.p1z = p1z
self.p2x = p2x
self.p2y = p2y
self.p2z = p2z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 15, struct.pack('<ffffffBBB', self.p1x, self.p1y, self.p1z, self.p2x, self.p2y, self.p2z, self.target_system, self.target_component, self.frame))
class MAVLink_safety_allowed_area_message(MAVLink_message):
'''
Read out the safety zone the MAV currently assumes.
'''
def __init__(self, frame, p1x, p1y, p1z, p2x, p2y, p2z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SAFETY_ALLOWED_AREA, 'SAFETY_ALLOWED_AREA')
self._fieldnames = ['frame', 'p1x', 'p1y', 'p1z', 'p2x', 'p2y', 'p2z']
self.frame = frame
self.p1x = p1x
self.p1y = p1y
self.p1z = p1z
self.p2x = p2x
self.p2y = p2y
self.p2z = p2z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 3, struct.pack('<ffffffB', self.p1x, self.p1y, self.p1z, self.p2x, self.p2y, self.p2z, self.frame))
class MAVLink_set_roll_pitch_yaw_thrust_message(MAVLink_message):
'''
Set roll, pitch and yaw.
'''
def __init__(self, target_system, target_component, roll, pitch, yaw, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_THRUST, 'SET_ROLL_PITCH_YAW_THRUST')
self._fieldnames = ['target_system', 'target_component', 'roll', 'pitch', 'yaw', 'thrust']
self.target_system = target_system
self.target_component = target_component
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 100, struct.pack('<ffffBB', self.roll, self.pitch, self.yaw, self.thrust, self.target_system, self.target_component))
class MAVLink_set_roll_pitch_yaw_speed_thrust_message(MAVLink_message):
'''
Set roll, pitch and yaw.
'''
def __init__(self, target_system, target_component, roll_speed, pitch_speed, yaw_speed, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_SPEED_THRUST, 'SET_ROLL_PITCH_YAW_SPEED_THRUST')
self._fieldnames = ['target_system', 'target_component', 'roll_speed', 'pitch_speed', 'yaw_speed', 'thrust']
self.target_system = target_system
self.target_component = target_component
self.roll_speed = roll_speed
self.pitch_speed = pitch_speed
self.yaw_speed = yaw_speed
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 24, struct.pack('<ffffBB', self.roll_speed, self.pitch_speed, self.yaw_speed, self.thrust, self.target_system, self.target_component))
class MAVLink_roll_pitch_yaw_thrust_setpoint_message(MAVLink_message):
'''
Setpoint in roll, pitch, yaw currently active on the system.
'''
def __init__(self, time_boot_ms, roll, pitch, yaw, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_ROLL_PITCH_YAW_THRUST_SETPOINT, 'ROLL_PITCH_YAW_THRUST_SETPOINT')
self._fieldnames = ['time_boot_ms', 'roll', 'pitch', 'yaw', 'thrust']
self.time_boot_ms = time_boot_ms
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 239, struct.pack('<Iffff', self.time_boot_ms, self.roll, self.pitch, self.yaw, self.thrust))
class MAVLink_roll_pitch_yaw_speed_thrust_setpoint_message(MAVLink_message):
'''
Setpoint in rollspeed, pitchspeed, yawspeed currently active
on the system.
'''
def __init__(self, time_boot_ms, roll_speed, pitch_speed, yaw_speed, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_ROLL_PITCH_YAW_SPEED_THRUST_SETPOINT, 'ROLL_PITCH_YAW_SPEED_THRUST_SETPOINT')
self._fieldnames = ['time_boot_ms', 'roll_speed', 'pitch_speed', 'yaw_speed', 'thrust']
self.time_boot_ms = time_boot_ms
self.roll_speed = roll_speed
self.pitch_speed = pitch_speed
self.yaw_speed = yaw_speed
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 238, struct.pack('<Iffff', self.time_boot_ms, self.roll_speed, self.pitch_speed, self.yaw_speed, self.thrust))
class MAVLink_set_quad_motors_setpoint_message(MAVLink_message):
'''
Setpoint in the four motor speeds
'''
def __init__(self, target_system, motor_front_nw, motor_right_ne, motor_back_se, motor_left_sw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_QUAD_MOTORS_SETPOINT, 'SET_QUAD_MOTORS_SETPOINT')
self._fieldnames = ['target_system', 'motor_front_nw', 'motor_right_ne', 'motor_back_se', 'motor_left_sw']
self.target_system = target_system
self.motor_front_nw = motor_front_nw
self.motor_right_ne = motor_right_ne
self.motor_back_se = motor_back_se
self.motor_left_sw = motor_left_sw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 30, struct.pack('<HHHHB', self.motor_front_nw, self.motor_right_ne, self.motor_back_se, self.motor_left_sw, self.target_system))
class MAVLink_set_quad_swarm_roll_pitch_yaw_thrust_message(MAVLink_message):
'''
Setpoint for up to four quadrotors in a group / wing
'''
def __init__(self, group, mode, roll, pitch, yaw, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_QUAD_SWARM_ROLL_PITCH_YAW_THRUST, 'SET_QUAD_SWARM_ROLL_PITCH_YAW_THRUST')
self._fieldnames = ['group', 'mode', 'roll', 'pitch', 'yaw', 'thrust']
self.group = group
self.mode = mode
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 240, struct.pack('<4h4h4h4HBB', self.roll, self.pitch, self.yaw, self.thrust, self.group, self.mode))
class MAVLink_nav_controller_output_message(MAVLink_message):
'''
Outputs of the APM navigation controller. The primary use of
this message is to check the response and signs of the
controller before actual flight and to assist with tuning
controller parameters.
'''
def __init__(self, nav_roll, nav_pitch, nav_bearing, target_bearing, wp_dist, alt_error, aspd_error, xtrack_error):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_NAV_CONTROLLER_OUTPUT, 'NAV_CONTROLLER_OUTPUT')
self._fieldnames = ['nav_roll', 'nav_pitch', 'nav_bearing', 'target_bearing', 'wp_dist', 'alt_error', 'aspd_error', 'xtrack_error']
self.nav_roll = nav_roll
self.nav_pitch = nav_pitch
self.nav_bearing = nav_bearing
self.target_bearing = target_bearing
self.wp_dist = wp_dist
self.alt_error = alt_error
self.aspd_error = aspd_error
self.xtrack_error = xtrack_error
def pack(self, mav):
return MAVLink_message.pack(self, mav, 183, struct.pack('<fffffhhH', self.nav_roll, self.nav_pitch, self.alt_error, self.aspd_error, self.xtrack_error, self.nav_bearing, self.target_bearing, self.wp_dist))
class MAVLink_set_quad_swarm_led_roll_pitch_yaw_thrust_message(MAVLink_message):
'''
Setpoint for up to four quadrotors in a group / wing
'''
def __init__(self, group, mode, led_red, led_blue, led_green, roll, pitch, yaw, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SET_QUAD_SWARM_LED_ROLL_PITCH_YAW_THRUST, 'SET_QUAD_SWARM_LED_ROLL_PITCH_YAW_THRUST')
self._fieldnames = ['group', 'mode', 'led_red', 'led_blue', 'led_green', 'roll', 'pitch', 'yaw', 'thrust']
self.group = group
self.mode = mode
self.led_red = led_red
self.led_blue = led_blue
self.led_green = led_green
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 130, struct.pack('<4h4h4h4HBB4s4s4s', self.roll, self.pitch, self.yaw, self.thrust, self.group, self.mode, self.led_red, self.led_blue, self.led_green))
class MAVLink_state_correction_message(MAVLink_message):
'''
Corrects the systems state by adding an error correction term
to the position and velocity, and by rotating the attitude by
a correction angle.
'''
def __init__(self, xErr, yErr, zErr, rollErr, pitchErr, yawErr, vxErr, vyErr, vzErr):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_STATE_CORRECTION, 'STATE_CORRECTION')
self._fieldnames = ['xErr', 'yErr', 'zErr', 'rollErr', 'pitchErr', 'yawErr', 'vxErr', 'vyErr', 'vzErr']
self.xErr = xErr
self.yErr = yErr
self.zErr = zErr
self.rollErr = rollErr
self.pitchErr = pitchErr
self.yawErr = yawErr
self.vxErr = vxErr
self.vyErr = vyErr
self.vzErr = vzErr
def pack(self, mav):
return MAVLink_message.pack(self, mav, 130, struct.pack('<fffffffff', self.xErr, self.yErr, self.zErr, self.rollErr, self.pitchErr, self.yawErr, self.vxErr, self.vyErr, self.vzErr))
class MAVLink_request_data_stream_message(MAVLink_message):
'''
'''
def __init__(self, target_system, target_component, req_stream_id, req_message_rate, start_stop):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_REQUEST_DATA_STREAM, 'REQUEST_DATA_STREAM')
self._fieldnames = ['target_system', 'target_component', 'req_stream_id', 'req_message_rate', 'start_stop']
self.target_system = target_system
self.target_component = target_component
self.req_stream_id = req_stream_id
self.req_message_rate = req_message_rate
self.start_stop = start_stop
def pack(self, mav):
return MAVLink_message.pack(self, mav, 148, struct.pack('<HBBBB', self.req_message_rate, self.target_system, self.target_component, self.req_stream_id, self.start_stop))
class MAVLink_data_stream_message(MAVLink_message):
'''
'''
def __init__(self, stream_id, message_rate, on_off):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_DATA_STREAM, 'DATA_STREAM')
self._fieldnames = ['stream_id', 'message_rate', 'on_off']
self.stream_id = stream_id
self.message_rate = message_rate
self.on_off = on_off
def pack(self, mav):
return MAVLink_message.pack(self, mav, 21, struct.pack('<HBB', self.message_rate, self.stream_id, self.on_off))
class MAVLink_manual_control_message(MAVLink_message):
'''
This message provides an API for manually controlling the
vehicle using standard joystick axes nomenclature, along with
a joystick-like input device. Unused axes can be disabled an
buttons are also transmit as boolean values of their
'''
def __init__(self, target, x, y, z, r, buttons):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MANUAL_CONTROL, 'MANUAL_CONTROL')
self._fieldnames = ['target', 'x', 'y', 'z', 'r', 'buttons']
self.target = target
self.x = x
self.y = y
self.z = z
self.r = r
self.buttons = buttons
def pack(self, mav):
return MAVLink_message.pack(self, mav, 243, struct.pack('<hhhhHB', self.x, self.y, self.z, self.r, self.buttons, self.target))
class MAVLink_rc_channels_override_message(MAVLink_message):
'''
The RAW values of the RC channels sent to the MAV to override
info received from the RC radio. A value of -1 means no change
to that channel. A value of 0 means control of that channel
should be released back to the RC radio. The standard PPM
modulation is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%. Individual receivers/transmitters might
violate this specification.
'''
def __init__(self, target_system, target_component, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_RC_CHANNELS_OVERRIDE, 'RC_CHANNELS_OVERRIDE')
self._fieldnames = ['target_system', 'target_component', 'chan1_raw', 'chan2_raw', 'chan3_raw', 'chan4_raw', 'chan5_raw', 'chan6_raw', 'chan7_raw', 'chan8_raw']
self.target_system = target_system
self.target_component = target_component
self.chan1_raw = chan1_raw
self.chan2_raw = chan2_raw
self.chan3_raw = chan3_raw
self.chan4_raw = chan4_raw
self.chan5_raw = chan5_raw
self.chan6_raw = chan6_raw
self.chan7_raw = chan7_raw
self.chan8_raw = chan8_raw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 124, struct.pack('<HHHHHHHHBB', self.chan1_raw, self.chan2_raw, self.chan3_raw, self.chan4_raw, self.chan5_raw, self.chan6_raw, self.chan7_raw, self.chan8_raw, self.target_system, self.target_component))
class MAVLink_vfr_hud_message(MAVLink_message):
'''
Metrics typically displayed on a HUD for fixed wing aircraft
'''
def __init__(self, airspeed, groundspeed, heading, throttle, alt, climb):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_VFR_HUD, 'VFR_HUD')
self._fieldnames = ['airspeed', 'groundspeed', 'heading', 'throttle', 'alt', 'climb']
self.airspeed = airspeed
self.groundspeed = groundspeed
self.heading = heading
self.throttle = throttle
self.alt = alt
self.climb = climb
def pack(self, mav):
return MAVLink_message.pack(self, mav, 20, struct.pack('<ffffhH', self.airspeed, self.groundspeed, self.alt, self.climb, self.heading, self.throttle))
class MAVLink_command_long_message(MAVLink_message):
'''
Send a command with up to four parameters to the MAV
'''
def __init__(self, target_system, target_component, command, confirmation, param1, param2, param3, param4, param5, param6, param7):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_COMMAND_LONG, 'COMMAND_LONG')
self._fieldnames = ['target_system', 'target_component', 'command', 'confirmation', 'param1', 'param2', 'param3', 'param4', 'param5', 'param6', 'param7']
self.target_system = target_system
self.target_component = target_component
self.command = command
self.confirmation = confirmation
self.param1 = param1
self.param2 = param2
self.param3 = param3
self.param4 = param4
self.param5 = param5
self.param6 = param6
self.param7 = param7
def pack(self, mav):
return MAVLink_message.pack(self, mav, 152, struct.pack('<fffffffHBBB', self.param1, self.param2, self.param3, self.param4, self.param5, self.param6, self.param7, self.command, self.target_system, self.target_component, self.confirmation))
class MAVLink_command_ack_message(MAVLink_message):
'''
Report status of a command. Includes feedback wether the
command was executed.
'''
def __init__(self, command, result):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_COMMAND_ACK, 'COMMAND_ACK')
self._fieldnames = ['command', 'result']
self.command = command
self.result = result
def pack(self, mav):
return MAVLink_message.pack(self, mav, 143, struct.pack('<HB', self.command, self.result))
class MAVLink_roll_pitch_yaw_rates_thrust_setpoint_message(MAVLink_message):
'''
Setpoint in roll, pitch, yaw rates and thrust currently active
on the system.
'''
def __init__(self, time_boot_ms, roll_rate, pitch_rate, yaw_rate, thrust):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_ROLL_PITCH_YAW_RATES_THRUST_SETPOINT, 'ROLL_PITCH_YAW_RATES_THRUST_SETPOINT')
self._fieldnames = ['time_boot_ms', 'roll_rate', 'pitch_rate', 'yaw_rate', 'thrust']
self.time_boot_ms = time_boot_ms
self.roll_rate = roll_rate
self.pitch_rate = pitch_rate
self.yaw_rate = yaw_rate
self.thrust = thrust
def pack(self, mav):
return MAVLink_message.pack(self, mav, 127, struct.pack('<Iffff', self.time_boot_ms, self.roll_rate, self.pitch_rate, self.yaw_rate, self.thrust))
class MAVLink_manual_setpoint_message(MAVLink_message):
'''
Setpoint in roll, pitch, yaw and thrust from the operator
'''
def __init__(self, time_boot_ms, roll, pitch, yaw, thrust, mode_switch, manual_override_switch):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MANUAL_SETPOINT, 'MANUAL_SETPOINT')
self._fieldnames = ['time_boot_ms', 'roll', 'pitch', 'yaw', 'thrust', 'mode_switch', 'manual_override_switch']
self.time_boot_ms = time_boot_ms
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.thrust = thrust
self.mode_switch = mode_switch
self.manual_override_switch = manual_override_switch
def pack(self, mav):
return MAVLink_message.pack(self, mav, 106, struct.pack('<IffffBB', self.time_boot_ms, self.roll, self.pitch, self.yaw, self.thrust, self.mode_switch, self.manual_override_switch))
class MAVLink_local_position_ned_system_global_offset_message(MAVLink_message):
'''
The offset in X, Y, Z and yaw between the LOCAL_POSITION_NED
messages of MAV X and the global coordinate frame in NED
coordinates. Coordinate frame is right-handed, Z-axis down
(aeronautical frame, NED / north-east-down convention)
'''
def __init__(self, time_boot_ms, x, y, z, roll, pitch, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_LOCAL_POSITION_NED_SYSTEM_GLOBAL_OFFSET, 'LOCAL_POSITION_NED_SYSTEM_GLOBAL_OFFSET')
self._fieldnames = ['time_boot_ms', 'x', 'y', 'z', 'roll', 'pitch', 'yaw']
self.time_boot_ms = time_boot_ms
self.x = x
self.y = y
self.z = z
self.roll = roll
self.pitch = pitch
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 231, struct.pack('<Iffffff', self.time_boot_ms, self.x, self.y, self.z, self.roll, self.pitch, self.yaw))
class MAVLink_hil_state_message(MAVLink_message):
'''
Sent from simulation to autopilot. This packet is useful for
high throughput applications such as hardware in the loop
simulations.
'''
def __init__(self, time_usec, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed, lat, lon, alt, vx, vy, vz, xacc, yacc, zacc):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_HIL_STATE, 'HIL_STATE')
self._fieldnames = ['time_usec', 'roll', 'pitch', 'yaw', 'rollspeed', 'pitchspeed', 'yawspeed', 'lat', 'lon', 'alt', 'vx', 'vy', 'vz', 'xacc', 'yacc', 'zacc']
self.time_usec = time_usec
self.roll = roll
self.pitch = pitch
self.yaw = yaw
self.rollspeed = rollspeed
self.pitchspeed = pitchspeed
self.yawspeed = yawspeed
self.lat = lat
self.lon = lon
self.alt = alt
self.vx = vx
self.vy = vy
self.vz = vz
self.xacc = xacc
self.yacc = yacc
self.zacc = zacc
def pack(self, mav):
return MAVLink_message.pack(self, mav, 183, struct.pack('<Qffffffiiihhhhhh', self.time_usec, self.roll, self.pitch, self.yaw, self.rollspeed, self.pitchspeed, self.yawspeed, self.lat, self.lon, self.alt, self.vx, self.vy, self.vz, self.xacc, self.yacc, self.zacc))
class MAVLink_hil_controls_message(MAVLink_message):
'''
Sent from autopilot to simulation. Hardware in the loop
control outputs
'''
def __init__(self, time_usec, roll_ailerons, pitch_elevator, yaw_rudder, throttle, aux1, aux2, aux3, aux4, mode, nav_mode):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_HIL_CONTROLS, 'HIL_CONTROLS')
self._fieldnames = ['time_usec', 'roll_ailerons', 'pitch_elevator', 'yaw_rudder', 'throttle', 'aux1', 'aux2', 'aux3', 'aux4', 'mode', 'nav_mode']
self.time_usec = time_usec
self.roll_ailerons = roll_ailerons
self.pitch_elevator = pitch_elevator
self.yaw_rudder = yaw_rudder
self.throttle = throttle
self.aux1 = aux1
self.aux2 = aux2
self.aux3 = aux3
self.aux4 = aux4
self.mode = mode
self.nav_mode = nav_mode
def pack(self, mav):
return MAVLink_message.pack(self, mav, 63, struct.pack('<QffffffffBB', self.time_usec, self.roll_ailerons, self.pitch_elevator, self.yaw_rudder, self.throttle, self.aux1, self.aux2, self.aux3, self.aux4, self.mode, self.nav_mode))
class MAVLink_hil_rc_inputs_raw_message(MAVLink_message):
'''
Sent from simulation to autopilot. The RAW values of the RC
channels received. The standard PPM modulation is as follows:
1000 microseconds: 0%, 2000 microseconds: 100%. Individual
receivers/transmitters might violate this specification.
'''
def __init__(self, time_usec, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, chan9_raw, chan10_raw, chan11_raw, chan12_raw, rssi):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_HIL_RC_INPUTS_RAW, 'HIL_RC_INPUTS_RAW')
self._fieldnames = ['time_usec', 'chan1_raw', 'chan2_raw', 'chan3_raw', 'chan4_raw', 'chan5_raw', 'chan6_raw', 'chan7_raw', 'chan8_raw', 'chan9_raw', 'chan10_raw', 'chan11_raw', 'chan12_raw', 'rssi']
self.time_usec = time_usec
self.chan1_raw = chan1_raw
self.chan2_raw = chan2_raw
self.chan3_raw = chan3_raw
self.chan4_raw = chan4_raw
self.chan5_raw = chan5_raw
self.chan6_raw = chan6_raw
self.chan7_raw = chan7_raw
self.chan8_raw = chan8_raw
self.chan9_raw = chan9_raw
self.chan10_raw = chan10_raw
self.chan11_raw = chan11_raw
self.chan12_raw = chan12_raw
self.rssi = rssi
def pack(self, mav):
return MAVLink_message.pack(self, mav, 54, struct.pack('<QHHHHHHHHHHHHB', self.time_usec, self.chan1_raw, self.chan2_raw, self.chan3_raw, self.chan4_raw, self.chan5_raw, self.chan6_raw, self.chan7_raw, self.chan8_raw, self.chan9_raw, self.chan10_raw, self.chan11_raw, self.chan12_raw, self.rssi))
class MAVLink_optical_flow_message(MAVLink_message):
'''
Optical flow from a flow sensor (e.g. optical mouse sensor)
'''
def __init__(self, time_usec, sensor_id, flow_x, flow_y, flow_comp_m_x, flow_comp_m_y, quality, ground_distance):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_OPTICAL_FLOW, 'OPTICAL_FLOW')
self._fieldnames = ['time_usec', 'sensor_id', 'flow_x', 'flow_y', 'flow_comp_m_x', 'flow_comp_m_y', 'quality', 'ground_distance']
self.time_usec = time_usec
self.sensor_id = sensor_id
self.flow_x = flow_x
self.flow_y = flow_y
self.flow_comp_m_x = flow_comp_m_x
self.flow_comp_m_y = flow_comp_m_y
self.quality = quality
self.ground_distance = ground_distance
def pack(self, mav):
return MAVLink_message.pack(self, mav, 175, struct.pack('<QfffhhBB', self.time_usec, self.flow_comp_m_x, self.flow_comp_m_y, self.ground_distance, self.flow_x, self.flow_y, self.sensor_id, self.quality))
class MAVLink_global_vision_position_estimate_message(MAVLink_message):
'''
'''
def __init__(self, usec, x, y, z, roll, pitch, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_GLOBAL_VISION_POSITION_ESTIMATE, 'GLOBAL_VISION_POSITION_ESTIMATE')
self._fieldnames = ['usec', 'x', 'y', 'z', 'roll', 'pitch', 'yaw']
self.usec = usec
self.x = x
self.y = y
self.z = z
self.roll = roll
self.pitch = pitch
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 102, struct.pack('<Qffffff', self.usec, self.x, self.y, self.z, self.roll, self.pitch, self.yaw))
class MAVLink_vision_position_estimate_message(MAVLink_message):
'''
'''
def __init__(self, usec, x, y, z, roll, pitch, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_VISION_POSITION_ESTIMATE, 'VISION_POSITION_ESTIMATE')
self._fieldnames = ['usec', 'x', 'y', 'z', 'roll', 'pitch', 'yaw']
self.usec = usec
self.x = x
self.y = y
self.z = z
self.roll = roll
self.pitch = pitch
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 158, struct.pack('<Qffffff', self.usec, self.x, self.y, self.z, self.roll, self.pitch, self.yaw))
class MAVLink_vision_speed_estimate_message(MAVLink_message):
'''
'''
def __init__(self, usec, x, y, z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_VISION_SPEED_ESTIMATE, 'VISION_SPEED_ESTIMATE')
self._fieldnames = ['usec', 'x', 'y', 'z']
self.usec = usec
self.x = x
self.y = y
self.z = z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 208, struct.pack('<Qfff', self.usec, self.x, self.y, self.z))
class MAVLink_vicon_position_estimate_message(MAVLink_message):
'''
'''
def __init__(self, usec, x, y, z, roll, pitch, yaw):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_VICON_POSITION_ESTIMATE, 'VICON_POSITION_ESTIMATE')
self._fieldnames = ['usec', 'x', 'y', 'z', 'roll', 'pitch', 'yaw']
self.usec = usec
self.x = x
self.y = y
self.z = z
self.roll = roll
self.pitch = pitch
self.yaw = yaw
def pack(self, mav):
return MAVLink_message.pack(self, mav, 56, struct.pack('<Qffffff', self.usec, self.x, self.y, self.z, self.roll, self.pitch, self.yaw))
class MAVLink_highres_imu_message(MAVLink_message):
'''
The IMU readings in SI units in NED body frame
'''
def __init__(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag, abs_pressure, diff_pressure, pressure_alt, temperature, fields_updated):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_HIGHRES_IMU, 'HIGHRES_IMU')
self._fieldnames = ['time_usec', 'xacc', 'yacc', 'zacc', 'xgyro', 'ygyro', 'zgyro', 'xmag', 'ymag', 'zmag', 'abs_pressure', 'diff_pressure', 'pressure_alt', 'temperature', 'fields_updated']
self.time_usec = time_usec
self.xacc = xacc
self.yacc = yacc
self.zacc = zacc
self.xgyro = xgyro
self.ygyro = ygyro
self.zgyro = zgyro
self.xmag = xmag
self.ymag = ymag
self.zmag = zmag
self.abs_pressure = abs_pressure
self.diff_pressure = diff_pressure
self.pressure_alt = pressure_alt
self.temperature = temperature
self.fields_updated = fields_updated
def pack(self, mav):
return MAVLink_message.pack(self, mav, 93, struct.pack('<QfffffffffffffH', self.time_usec, self.xacc, self.yacc, self.zacc, self.xgyro, self.ygyro, self.zgyro, self.xmag, self.ymag, self.zmag, self.abs_pressure, self.diff_pressure, self.pressure_alt, self.temperature, self.fields_updated))
class MAVLink_file_transfer_start_message(MAVLink_message):
'''
Begin file transfer
'''
def __init__(self, transfer_uid, dest_path, direction, file_size, flags):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_FILE_TRANSFER_START, 'FILE_TRANSFER_START')
self._fieldnames = ['transfer_uid', 'dest_path', 'direction', 'file_size', 'flags']
self.transfer_uid = transfer_uid
self.dest_path = dest_path
self.direction = direction
self.file_size = file_size
self.flags = flags
def pack(self, mav):
return MAVLink_message.pack(self, mav, 235, struct.pack('<QI240sBB', self.transfer_uid, self.file_size, self.dest_path, self.direction, self.flags))
class MAVLink_file_transfer_dir_list_message(MAVLink_message):
'''
Get directory listing
'''
def __init__(self, transfer_uid, dir_path, flags):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_FILE_TRANSFER_DIR_LIST, 'FILE_TRANSFER_DIR_LIST')
self._fieldnames = ['transfer_uid', 'dir_path', 'flags']
self.transfer_uid = transfer_uid
self.dir_path = dir_path
self.flags = flags
def pack(self, mav):
return MAVLink_message.pack(self, mav, 93, struct.pack('<Q240sB', self.transfer_uid, self.dir_path, self.flags))
class MAVLink_file_transfer_res_message(MAVLink_message):
'''
File transfer result
'''
def __init__(self, transfer_uid, result):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_FILE_TRANSFER_RES, 'FILE_TRANSFER_RES')
self._fieldnames = ['transfer_uid', 'result']
self.transfer_uid = transfer_uid
self.result = result
def pack(self, mav):
return MAVLink_message.pack(self, mav, 124, struct.pack('<QB', self.transfer_uid, self.result))
class MAVLink_battery_status_message(MAVLink_message):
'''
Transmitte battery informations for a accu pack.
'''
def __init__(self, accu_id, voltage_cell_1, voltage_cell_2, voltage_cell_3, voltage_cell_4, voltage_cell_5, voltage_cell_6, current_battery, battery_remaining):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_BATTERY_STATUS, 'BATTERY_STATUS')
self._fieldnames = ['accu_id', 'voltage_cell_1', 'voltage_cell_2', 'voltage_cell_3', 'voltage_cell_4', 'voltage_cell_5', 'voltage_cell_6', 'current_battery', 'battery_remaining']
self.accu_id = accu_id
self.voltage_cell_1 = voltage_cell_1
self.voltage_cell_2 = voltage_cell_2
self.voltage_cell_3 = voltage_cell_3
self.voltage_cell_4 = voltage_cell_4
self.voltage_cell_5 = voltage_cell_5
self.voltage_cell_6 = voltage_cell_6
self.current_battery = current_battery
self.battery_remaining = battery_remaining
def pack(self, mav):
return MAVLink_message.pack(self, mav, 42, struct.pack('<HHHHHHhBb', self.voltage_cell_1, self.voltage_cell_2, self.voltage_cell_3, self.voltage_cell_4, self.voltage_cell_5, self.voltage_cell_6, self.current_battery, self.accu_id, self.battery_remaining))
class MAVLink_setpoint_8dof_message(MAVLink_message):
'''
Set the 8 DOF setpoint for a controller.
'''
def __init__(self, target_system, val1, val2, val3, val4, val5, val6, val7, val8):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SETPOINT_8DOF, 'SETPOINT_8DOF')
self._fieldnames = ['target_system', 'val1', 'val2', 'val3', 'val4', 'val5', 'val6', 'val7', 'val8']
self.target_system = target_system
self.val1 = val1
self.val2 = val2
self.val3 = val3
self.val4 = val4
self.val5 = val5
self.val6 = val6
self.val7 = val7
self.val8 = val8
def pack(self, mav):
return MAVLink_message.pack(self, mav, 241, struct.pack('<ffffffffB', self.val1, self.val2, self.val3, self.val4, self.val5, self.val6, self.val7, self.val8, self.target_system))
class MAVLink_setpoint_6dof_message(MAVLink_message):
'''
Set the 6 DOF setpoint for a attitude and position controller.
'''
def __init__(self, target_system, trans_x, trans_y, trans_z, rot_x, rot_y, rot_z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_SETPOINT_6DOF, 'SETPOINT_6DOF')
self._fieldnames = ['target_system', 'trans_x', 'trans_y', 'trans_z', 'rot_x', 'rot_y', 'rot_z']
self.target_system = target_system
self.trans_x = trans_x
self.trans_y = trans_y
self.trans_z = trans_z
self.rot_x = rot_x
self.rot_y = rot_y
self.rot_z = rot_z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 15, struct.pack('<ffffffB', self.trans_x, self.trans_y, self.trans_z, self.rot_x, self.rot_y, self.rot_z, self.target_system))
class MAVLink_memory_vect_message(MAVLink_message):
'''
Send raw controller memory. The use of this message is
discouraged for normal packets, but a quite efficient way for
testing new messages and getting experimental debug output.
'''
def __init__(self, address, ver, type, value):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_MEMORY_VECT, 'MEMORY_VECT')
self._fieldnames = ['address', 'ver', 'type', 'value']
self.address = address
self.ver = ver
self.type = type
self.value = value
def pack(self, mav):
return MAVLink_message.pack(self, mav, 204, struct.pack('<HBB32s', self.address, self.ver, self.type, self.value))
class MAVLink_debug_vect_message(MAVLink_message):
'''
'''
def __init__(self, name, time_usec, x, y, z):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_DEBUG_VECT, 'DEBUG_VECT')
self._fieldnames = ['name', 'time_usec', 'x', 'y', 'z']
self.name = name
self.time_usec = time_usec
self.x = x
self.y = y
self.z = z
def pack(self, mav):
return MAVLink_message.pack(self, mav, 49, struct.pack('<Qfff10s', self.time_usec, self.x, self.y, self.z, self.name))
class MAVLink_named_value_float_message(MAVLink_message):
'''
Send a key-value pair as float. The use of this message is
discouraged for normal packets, but a quite efficient way for
testing new messages and getting experimental debug output.
'''
def __init__(self, time_boot_ms, name, value):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_NAMED_VALUE_FLOAT, 'NAMED_VALUE_FLOAT')
self._fieldnames = ['time_boot_ms', 'name', 'value']
self.time_boot_ms = time_boot_ms
self.name = name
self.value = value
def pack(self, mav):
return MAVLink_message.pack(self, mav, 170, struct.pack('<If10s', self.time_boot_ms, self.value, self.name))
class MAVLink_named_value_int_message(MAVLink_message):
'''
Send a key-value pair as integer. The use of this message is
discouraged for normal packets, but a quite efficient way for
testing new messages and getting experimental debug output.
'''
def __init__(self, time_boot_ms, name, value):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_NAMED_VALUE_INT, 'NAMED_VALUE_INT')
self._fieldnames = ['time_boot_ms', 'name', 'value']
self.time_boot_ms = time_boot_ms
self.name = name
self.value = value
def pack(self, mav):
return MAVLink_message.pack(self, mav, 44, struct.pack('<Ii10s', self.time_boot_ms, self.value, self.name))
class MAVLink_statustext_message(MAVLink_message):
'''
Status text message. These messages are printed in yellow in
the COMM console of QGroundControl. WARNING: They consume
quite some bandwidth, so use only for important status and
error messages. If implemented wisely, these messages are
buffered on the MCU and sent only at a limited rate (e.g. 10
Hz).
'''
def __init__(self, severity, text):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_STATUSTEXT, 'STATUSTEXT')
self._fieldnames = ['severity', 'text']
self.severity = severity
self.text = text
def pack(self, mav):
return MAVLink_message.pack(self, mav, 83, struct.pack('<B50s', self.severity, self.text))
class MAVLink_debug_message(MAVLink_message):
'''
Send a debug value. The index is used to discriminate between
values. These values show up in the plot of QGroundControl as
DEBUG N.
'''
def __init__(self, time_boot_ms, ind, value):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_DEBUG, 'DEBUG')
self._fieldnames = ['time_boot_ms', 'ind', 'value']
self.time_boot_ms = time_boot_ms
self.ind = ind
self.value = value
def pack(self, mav):
return MAVLink_message.pack(self, mav, 46, struct.pack('<IfB', self.time_boot_ms, self.value, self.ind))
mavlink_map = {
MAVLINK_MSG_ID_HEARTBEAT : ( '<IBBBBB', MAVLink_heartbeat_message, [1, 2, 3, 0, 4, 5], 50 ),
MAVLINK_MSG_ID_SYS_STATUS : ( '<IIIHHhHHHHHHb', MAVLink_sys_status_message, [0, 1, 2, 3, 4, 5, 12, 6, 7, 8, 9, 10, 11], 124 ),
MAVLINK_MSG_ID_SYSTEM_TIME : ( '<QI', MAVLink_system_time_message, [0, 1], 137 ),
MAVLINK_MSG_ID_PING : ( '<QIBB', MAVLink_ping_message, [0, 1, 2, 3], 237 ),
MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL : ( '<BBB25s', MAVLink_change_operator_control_message, [0, 1, 2, 3], 217 ),
MAVLINK_MSG_ID_CHANGE_OPERATOR_CONTROL_ACK : ( '<BBB', MAVLink_change_operator_control_ack_message, [0, 1, 2], 104 ),
MAVLINK_MSG_ID_AUTH_KEY : ( '<32s', MAVLink_auth_key_message, [0], 119 ),
MAVLINK_MSG_ID_SET_MODE : ( '<IBB', MAVLink_set_mode_message, [1, 2, 0], 89 ),
MAVLINK_MSG_ID_PARAM_REQUEST_READ : ( '<hBB16s', MAVLink_param_request_read_message, [1, 2, 3, 0], 214 ),
MAVLINK_MSG_ID_PARAM_REQUEST_LIST : ( '<BB', MAVLink_param_request_list_message, [0, 1], 159 ),
MAVLINK_MSG_ID_PARAM_VALUE : ( '<fHH16sB', MAVLink_param_value_message, [3, 0, 4, 1, 2], 220 ),
MAVLINK_MSG_ID_PARAM_SET : ( '<fBB16sB', MAVLink_param_set_message, [1, 2, 3, 0, 4], 168 ),
MAVLINK_MSG_ID_GPS_RAW_INT : ( '<QiiiHHHHBB', MAVLink_gps_raw_int_message, [0, 8, 1, 2, 3, 4, 5, 6, 7, 9], 24 ),
MAVLINK_MSG_ID_GPS_STATUS : ( '<B20s20s20s20s20s', MAVLink_gps_status_message, [0, 1, 2, 3, 4, 5], 23 ),
MAVLINK_MSG_ID_SCALED_IMU : ( '<Ihhhhhhhhh', MAVLink_scaled_imu_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 170 ),
MAVLINK_MSG_ID_RAW_IMU : ( '<Qhhhhhhhhh', MAVLink_raw_imu_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 144 ),
MAVLINK_MSG_ID_RAW_PRESSURE : ( '<Qhhhh', MAVLink_raw_pressure_message, [0, 1, 2, 3, 4], 67 ),
MAVLINK_MSG_ID_SCALED_PRESSURE : ( '<Iffh', MAVLink_scaled_pressure_message, [0, 1, 2, 3], 115 ),
MAVLINK_MSG_ID_ATTITUDE : ( '<Iffffff', MAVLink_attitude_message, [0, 1, 2, 3, 4, 5, 6], 39 ),
MAVLINK_MSG_ID_ATTITUDE_QUATERNION : ( '<Ifffffff', MAVLink_attitude_quaternion_message, [0, 1, 2, 3, 4, 5, 6, 7], 246 ),
MAVLINK_MSG_ID_LOCAL_POSITION_NED : ( '<Iffffff', MAVLink_local_position_ned_message, [0, 1, 2, 3, 4, 5, 6], 185 ),
MAVLINK_MSG_ID_GLOBAL_POSITION_INT : ( '<IiiiihhhH', MAVLink_global_position_int_message, [0, 1, 2, 3, 4, 5, 6, 7, 8], 104 ),
MAVLINK_MSG_ID_RC_CHANNELS_SCALED : ( '<IhhhhhhhhBB', MAVLink_rc_channels_scaled_message, [0, 9, 1, 2, 3, 4, 5, 6, 7, 8, 10], 237 ),
MAVLINK_MSG_ID_RC_CHANNELS_RAW : ( '<IHHHHHHHHBB', MAVLink_rc_channels_raw_message, [0, 9, 1, 2, 3, 4, 5, 6, 7, 8, 10], 244 ),
MAVLINK_MSG_ID_SERVO_OUTPUT_RAW : ( '<IHHHHHHHHB', MAVLink_servo_output_raw_message, [0, 9, 1, 2, 3, 4, 5, 6, 7, 8], 242 ),
MAVLINK_MSG_ID_MISSION_REQUEST_PARTIAL_LIST : ( '<hhBB', MAVLink_mission_request_partial_list_message, [2, 3, 0, 1], 212 ),
MAVLINK_MSG_ID_MISSION_WRITE_PARTIAL_LIST : ( '<hhBB', MAVLink_mission_write_partial_list_message, [2, 3, 0, 1], 9 ),
MAVLINK_MSG_ID_MISSION_ITEM : ( '<fffffffHHBBBBB', MAVLink_mission_item_message, [9, 10, 7, 11, 8, 12, 13, 0, 1, 2, 3, 4, 5, 6], 254 ),
MAVLINK_MSG_ID_MISSION_REQUEST : ( '<HBB', MAVLink_mission_request_message, [1, 2, 0], 230 ),
MAVLINK_MSG_ID_MISSION_SET_CURRENT : ( '<HBB', MAVLink_mission_set_current_message, [1, 2, 0], 28 ),
MAVLINK_MSG_ID_MISSION_CURRENT : ( '<H', MAVLink_mission_current_message, [0], 28 ),
MAVLINK_MSG_ID_MISSION_REQUEST_LIST : ( '<BB', MAVLink_mission_request_list_message, [0, 1], 132 ),
MAVLINK_MSG_ID_MISSION_COUNT : ( '<HBB', MAVLink_mission_count_message, [1, 2, 0], 221 ),
MAVLINK_MSG_ID_MISSION_CLEAR_ALL : ( '<BB', MAVLink_mission_clear_all_message, [0, 1], 232 ),
MAVLINK_MSG_ID_MISSION_ITEM_REACHED : ( '<H', MAVLink_mission_item_reached_message, [0], 11 ),
MAVLINK_MSG_ID_MISSION_ACK : ( '<BBB', MAVLink_mission_ack_message, [0, 1, 2], 153 ),
MAVLINK_MSG_ID_SET_GPS_GLOBAL_ORIGIN : ( '<iiiB', MAVLink_set_gps_global_origin_message, [3, 0, 1, 2], 41 ),
MAVLINK_MSG_ID_GPS_GLOBAL_ORIGIN : ( '<iii', MAVLink_gps_global_origin_message, [0, 1, 2], 39 ),
MAVLINK_MSG_ID_SET_LOCAL_POSITION_SETPOINT : ( '<ffffBBB', MAVLink_set_local_position_setpoint_message, [4, 5, 6, 0, 1, 2, 3], 214 ),
MAVLINK_MSG_ID_LOCAL_POSITION_SETPOINT : ( '<ffffB', MAVLink_local_position_setpoint_message, [4, 0, 1, 2, 3], 223 ),
MAVLINK_MSG_ID_GLOBAL_POSITION_SETPOINT_INT : ( '<iiihB', MAVLink_global_position_setpoint_int_message, [4, 0, 1, 2, 3], 141 ),
MAVLINK_MSG_ID_SET_GLOBAL_POSITION_SETPOINT_INT : ( '<iiihB', MAVLink_set_global_position_setpoint_int_message, [4, 0, 1, 2, 3], 33 ),
MAVLINK_MSG_ID_SAFETY_SET_ALLOWED_AREA : ( '<ffffffBBB', MAVLink_safety_set_allowed_area_message, [6, 7, 8, 0, 1, 2, 3, 4, 5], 15 ),
MAVLINK_MSG_ID_SAFETY_ALLOWED_AREA : ( '<ffffffB', MAVLink_safety_allowed_area_message, [6, 0, 1, 2, 3, 4, 5], 3 ),
MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_THRUST : ( '<ffffBB', MAVLink_set_roll_pitch_yaw_thrust_message, [4, 5, 0, 1, 2, 3], 100 ),
MAVLINK_MSG_ID_SET_ROLL_PITCH_YAW_SPEED_THRUST : ( '<ffffBB', MAVLink_set_roll_pitch_yaw_speed_thrust_message, [4, 5, 0, 1, 2, 3], 24 ),
MAVLINK_MSG_ID_ROLL_PITCH_YAW_THRUST_SETPOINT : ( '<Iffff', MAVLink_roll_pitch_yaw_thrust_setpoint_message, [0, 1, 2, 3, 4], 239 ),
MAVLINK_MSG_ID_ROLL_PITCH_YAW_SPEED_THRUST_SETPOINT : ( '<Iffff', MAVLink_roll_pitch_yaw_speed_thrust_setpoint_message, [0, 1, 2, 3, 4], 238 ),
MAVLINK_MSG_ID_SET_QUAD_MOTORS_SETPOINT : ( '<HHHHB', MAVLink_set_quad_motors_setpoint_message, [4, 0, 1, 2, 3], 30 ),
MAVLINK_MSG_ID_SET_QUAD_SWARM_ROLL_PITCH_YAW_THRUST : ( '<4h4h4h4HBB', MAVLink_set_quad_swarm_roll_pitch_yaw_thrust_message, [4, 5, 0, 1, 2, 3], 240 ),
MAVLINK_MSG_ID_NAV_CONTROLLER_OUTPUT : ( '<fffffhhH', MAVLink_nav_controller_output_message, [0, 1, 5, 6, 7, 2, 3, 4], 183 ),
MAVLINK_MSG_ID_SET_QUAD_SWARM_LED_ROLL_PITCH_YAW_THRUST : ( '<4h4h4h4HBB4s4s4s', MAVLink_set_quad_swarm_led_roll_pitch_yaw_thrust_message, [4, 5, 6, 7, 8, 0, 1, 2, 3], 130 ),
MAVLINK_MSG_ID_STATE_CORRECTION : ( '<fffffffff', MAVLink_state_correction_message, [0, 1, 2, 3, 4, 5, 6, 7, 8], 130 ),
MAVLINK_MSG_ID_REQUEST_DATA_STREAM : ( '<HBBBB', MAVLink_request_data_stream_message, [1, 2, 3, 0, 4], 148 ),
MAVLINK_MSG_ID_DATA_STREAM : ( '<HBB', MAVLink_data_stream_message, [1, 0, 2], 21 ),
MAVLINK_MSG_ID_MANUAL_CONTROL : ( '<hhhhHB', MAVLink_manual_control_message, [5, 0, 1, 2, 3, 4], 243 ),
MAVLINK_MSG_ID_RC_CHANNELS_OVERRIDE : ( '<HHHHHHHHBB', MAVLink_rc_channels_override_message, [8, 9, 0, 1, 2, 3, 4, 5, 6, 7], 124 ),
MAVLINK_MSG_ID_VFR_HUD : ( '<ffffhH', MAVLink_vfr_hud_message, [0, 1, 4, 5, 2, 3], 20 ),
MAVLINK_MSG_ID_COMMAND_LONG : ( '<fffffffHBBB', MAVLink_command_long_message, [8, 9, 7, 10, 0, 1, 2, 3, 4, 5, 6], 152 ),
MAVLINK_MSG_ID_COMMAND_ACK : ( '<HB', MAVLink_command_ack_message, [0, 1], 143 ),
MAVLINK_MSG_ID_ROLL_PITCH_YAW_RATES_THRUST_SETPOINT : ( '<Iffff', MAVLink_roll_pitch_yaw_rates_thrust_setpoint_message, [0, 1, 2, 3, 4], 127 ),
MAVLINK_MSG_ID_MANUAL_SETPOINT : ( '<IffffBB', MAVLink_manual_setpoint_message, [0, 1, 2, 3, 4, 5, 6], 106 ),
MAVLINK_MSG_ID_LOCAL_POSITION_NED_SYSTEM_GLOBAL_OFFSET : ( '<Iffffff', MAVLink_local_position_ned_system_global_offset_message, [0, 1, 2, 3, 4, 5, 6], 231 ),
MAVLINK_MSG_ID_HIL_STATE : ( '<Qffffffiiihhhhhh', MAVLink_hil_state_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], 183 ),
MAVLINK_MSG_ID_HIL_CONTROLS : ( '<QffffffffBB', MAVLink_hil_controls_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 63 ),
MAVLINK_MSG_ID_HIL_RC_INPUTS_RAW : ( '<QHHHHHHHHHHHHB', MAVLink_hil_rc_inputs_raw_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], 54 ),
MAVLINK_MSG_ID_OPTICAL_FLOW : ( '<QfffhhBB', MAVLink_optical_flow_message, [0, 6, 4, 5, 1, 2, 7, 3], 175 ),
MAVLINK_MSG_ID_GLOBAL_VISION_POSITION_ESTIMATE : ( '<Qffffff', MAVLink_global_vision_position_estimate_message, [0, 1, 2, 3, 4, 5, 6], 102 ),
MAVLINK_MSG_ID_VISION_POSITION_ESTIMATE : ( '<Qffffff', MAVLink_vision_position_estimate_message, [0, 1, 2, 3, 4, 5, 6], 158 ),
MAVLINK_MSG_ID_VISION_SPEED_ESTIMATE : ( '<Qfff', MAVLink_vision_speed_estimate_message, [0, 1, 2, 3], 208 ),
MAVLINK_MSG_ID_VICON_POSITION_ESTIMATE : ( '<Qffffff', MAVLink_vicon_position_estimate_message, [0, 1, 2, 3, 4, 5, 6], 56 ),
MAVLINK_MSG_ID_HIGHRES_IMU : ( '<QfffffffffffffH', MAVLink_highres_imu_message, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], 93 ),
MAVLINK_MSG_ID_FILE_TRANSFER_START : ( '<QI240sBB', MAVLink_file_transfer_start_message, [0, 2, 3, 1, 4], 235 ),
MAVLINK_MSG_ID_FILE_TRANSFER_DIR_LIST : ( '<Q240sB', MAVLink_file_transfer_dir_list_message, [0, 1, 2], 93 ),
MAVLINK_MSG_ID_FILE_TRANSFER_RES : ( '<QB', MAVLink_file_transfer_res_message, [0, 1], 124 ),
MAVLINK_MSG_ID_BATTERY_STATUS : ( '<HHHHHHhBb', MAVLink_battery_status_message, [7, 0, 1, 2, 3, 4, 5, 6, 8], 42 ),
MAVLINK_MSG_ID_SETPOINT_8DOF : ( '<ffffffffB', MAVLink_setpoint_8dof_message, [8, 0, 1, 2, 3, 4, 5, 6, 7], 241 ),
MAVLINK_MSG_ID_SETPOINT_6DOF : ( '<ffffffB', MAVLink_setpoint_6dof_message, [6, 0, 1, 2, 3, 4, 5], 15 ),
MAVLINK_MSG_ID_MEMORY_VECT : ( '<HBB32s', MAVLink_memory_vect_message, [0, 1, 2, 3], 204 ),
MAVLINK_MSG_ID_DEBUG_VECT : ( '<Qfff10s', MAVLink_debug_vect_message, [4, 0, 1, 2, 3], 49 ),
MAVLINK_MSG_ID_NAMED_VALUE_FLOAT : ( '<If10s', MAVLink_named_value_float_message, [0, 2, 1], 170 ),
MAVLINK_MSG_ID_NAMED_VALUE_INT : ( '<Ii10s', MAVLink_named_value_int_message, [0, 2, 1], 44 ),
MAVLINK_MSG_ID_STATUSTEXT : ( '<B50s', MAVLink_statustext_message, [0, 1], 83 ),
MAVLINK_MSG_ID_DEBUG : ( '<IfB', MAVLink_debug_message, [0, 2, 1], 46 ),
}
class MAVError(Exception):
'''MAVLink error class'''
def __init__(self, msg):
Exception.__init__(self, msg)
self.message = msg
class MAVString(str):
'''NUL terminated string'''
def __init__(self, s):
str.__init__(self)
def __str__(self):
i = self.find(chr(0))
if i == -1:
return self[:]
return self[0:i]
class MAVLink_bad_data(MAVLink_message):
'''
a piece of bad data in a mavlink stream
'''
def __init__(self, data, reason):
MAVLink_message.__init__(self, MAVLINK_MSG_ID_BAD_DATA, 'BAD_DATA')
self._fieldnames = ['data', 'reason']
self.data = data
self.reason = reason
self._msgbuf = data
class MAVLink(object):
'''MAVLink protocol handling class'''
def __init__(self, file, srcSystem=0, srcComponent=0):
self.seq = 0
self.file = file
self.srcSystem = srcSystem
self.srcComponent = srcComponent
self.callback = None
self.callback_args = None
self.callback_kwargs = None
self.buf = array.array('B')
self.expected_length = 6
self.have_prefix_error = False
self.robust_parsing = False
self.protocol_marker = 254
self.little_endian = True
self.crc_extra = True
self.sort_fields = True
self.total_packets_sent = 0
self.total_bytes_sent = 0
self.total_packets_received = 0
self.total_bytes_received = 0
self.total_receive_errors = 0
self.startup_time = time.time()
def set_callback(self, callback, *args, **kwargs):
self.callback = callback
self.callback_args = args
self.callback_kwargs = kwargs
def send(self, mavmsg):
'''send a MAVLink message'''
buf = mavmsg.pack(self)
self.file.write(buf)
self.seq = (self.seq + 1) % 255
self.total_packets_sent += 1
self.total_bytes_sent += len(buf)
def bytes_needed(self):
'''return number of bytes needed for next parsing stage'''
ret = self.expected_length - len(self.buf)
if ret <= 0:
return 1
return ret
def parse_char(self, c):
'''input some data bytes, possibly returning a new message'''
if isinstance(c, str):
self.buf.fromstring(c)
else:
self.buf.extend(c)
self.total_bytes_received += len(c)
if len(self.buf) >= 1 and self.buf[0] != 254:
magic = self.buf[0]
self.buf = self.buf[1:]
if self.robust_parsing:
m = MAVLink_bad_data(chr(magic), "Bad prefix")
if self.callback:
self.callback(m, *self.callback_args, **self.callback_kwargs)
self.expected_length = 6
self.total_receive_errors += 1
return m
if self.have_prefix_error:
return None
self.have_prefix_error = True
self.total_receive_errors += 1
raise MAVError("invalid MAVLink prefix '%s'" % magic)
self.have_prefix_error = False
if len(self.buf) >= 2:
(magic, self.expected_length) = struct.unpack('BB', self.buf[0:2])
self.expected_length += 8
if self.expected_length >= 8 and len(self.buf) >= self.expected_length:
mbuf = self.buf[0:self.expected_length]
self.buf = self.buf[self.expected_length:]
self.expected_length = 6
if self.robust_parsing:
try:
m = self.decode(mbuf)
self.total_packets_received += 1
except MAVError as reason:
m = MAVLink_bad_data(mbuf, reason.message)
self.total_receive_errors += 1
else:
m = self.decode(mbuf)
self.total_packets_received += 1
if self.callback:
self.callback(m, *self.callback_args, **self.callback_kwargs)
return m
return None
def parse_buffer(self, s):
'''input some data bytes, possibly returning a list of new messages'''
m = self.parse_char(s)
if m is None:
return None
ret = [m]
while True:
m = self.parse_char("")
if m is None:
return ret
ret.append(m)
return ret
def decode(self, msgbuf):
'''decode a buffer as a MAVLink message'''
# decode the header
try:
magic, mlen, seq, srcSystem, srcComponent, msgId = struct.unpack('cBBBBB', msgbuf[:6])
except struct.error as emsg:
raise MAVError('Unable to unpack MAVLink header: %s' % emsg)
if ord(magic) != 254:
raise MAVError("invalid MAVLink prefix '%s'" % magic)
if mlen != len(msgbuf)-8:
raise MAVError('invalid MAVLink message length. Got %u expected %u, msgId=%u' % (len(msgbuf)-8, mlen, msgId))
if not msgId in mavlink_map:
raise MAVError('unknown MAVLink message ID %u' % msgId)
# decode the payload
(fmt, type, order_map, crc_extra) = mavlink_map[msgId]
# decode the checksum
try:
crc, = struct.unpack('<H', msgbuf[-2:])
except struct.error as emsg:
raise MAVError('Unable to unpack MAVLink CRC: %s' % emsg)
crc2 = mavutil.x25crc(msgbuf[1:-2])
if True: # using CRC extra
crc2.accumulate(chr(crc_extra))
if crc != crc2.crc:
raise MAVError('invalid MAVLink CRC in msgID %u 0x%04x should be 0x%04x' % (msgId, crc, crc2.crc))
try:
t = struct.unpack(fmt, msgbuf[6:-2])
except struct.error as emsg:
raise MAVError('Unable to unpack MAVLink payload type=%s fmt=%s payloadLength=%u: %s' % (
type, fmt, len(msgbuf[6:-2]), emsg))
tlist = list(t)
# handle sorted fields
if True:
t = tlist[:]
for i in range(0, len(tlist)):
tlist[i] = t[order_map[i]]
# terminate any strings
for i in range(0, len(tlist)):
if isinstance(tlist[i], str):
tlist[i] = MAVString(tlist[i])
t = tuple(tlist)
# construct the message object
try:
m = type(*t)
except Exception as emsg:
raise MAVError('Unable to instantiate MAVLink message of type %s : %s' % (type, emsg))
m._msgbuf = msgbuf
m._payload = msgbuf[6:-2]
m._crc = crc
m._header = MAVLink_header(msgId, mlen, seq, srcSystem, srcComponent)
return m
def heartbeat_encode(self, type, autopilot, base_mode, custom_mode, system_status, mavlink_version=3):
'''
The heartbeat message shows that a system is present and responding.
The type of the MAV and Autopilot hardware allow the
receiving system to treat further messages from this
system appropriate (e.g. by laying out the user
interface based on the autopilot).
type : Type of the MAV (quadrotor, helicopter, etc., up to 15 types, defined in MAV_TYPE ENUM) (uint8_t)
autopilot : Autopilot type / class. defined in MAV_AUTOPILOT ENUM (uint8_t)
base_mode : System mode bitfield, see MAV_MODE_FLAGS ENUM in mavlink/include/mavlink_types.h (uint8_t)
custom_mode : A bitfield for use for autopilot-specific flags. (uint32_t)
system_status : System status flag, see MAV_STATE ENUM (uint8_t)
mavlink_version : MAVLink version, not writable by user, gets added by protocol because of magic data type: uint8_t_mavlink_version (uint8_t)
'''
msg = MAVLink_heartbeat_message(type, autopilot, base_mode, custom_mode, system_status, mavlink_version)
msg.pack(self)
return msg
def heartbeat_send(self, type, autopilot, base_mode, custom_mode, system_status, mavlink_version=3):
'''
The heartbeat message shows that a system is present and responding.
The type of the MAV and Autopilot hardware allow the
receiving system to treat further messages from this
system appropriate (e.g. by laying out the user
interface based on the autopilot).
type : Type of the MAV (quadrotor, helicopter, etc., up to 15 types, defined in MAV_TYPE ENUM) (uint8_t)
autopilot : Autopilot type / class. defined in MAV_AUTOPILOT ENUM (uint8_t)
base_mode : System mode bitfield, see MAV_MODE_FLAGS ENUM in mavlink/include/mavlink_types.h (uint8_t)
custom_mode : A bitfield for use for autopilot-specific flags. (uint32_t)
system_status : System status flag, see MAV_STATE ENUM (uint8_t)
mavlink_version : MAVLink version, not writable by user, gets added by protocol because of magic data type: uint8_t_mavlink_version (uint8_t)
'''
return self.send(self.heartbeat_encode(type, autopilot, base_mode, custom_mode, system_status, mavlink_version))
def sys_status_encode(self, onboard_control_sensors_present, onboard_control_sensors_enabled, onboard_control_sensors_health, load, voltage_battery, current_battery, battery_remaining, drop_rate_comm, errors_comm, errors_count1, errors_count2, errors_count3, errors_count4):
'''
The general system state. If the system is following the MAVLink
standard, the system state is mainly defined by three
orthogonal states/modes: The system mode, which is
either LOCKED (motors shut down and locked), MANUAL
(system under RC control), GUIDED (system with
autonomous position control, position setpoint
controlled manually) or AUTO (system guided by
path/waypoint planner). The NAV_MODE defined the
current flight state: LIFTOFF (often an open-loop
maneuver), LANDING, WAYPOINTS or VECTOR. This
represents the internal navigation state machine. The
system status shows wether the system is currently
active or not and if an emergency occured. During the
CRITICAL and EMERGENCY states the MAV is still
considered to be active, but should start emergency
procedures autonomously. After a failure occured it
should first move from active to critical to allow
manual intervention and then move to emergency after a
certain timeout.
onboard_control_sensors_present : Bitmask showing which onboard controllers and sensors are present. Value of 0: not present. Value of 1: present. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
onboard_control_sensors_enabled : Bitmask showing which onboard controllers and sensors are enabled: Value of 0: not enabled. Value of 1: enabled. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
onboard_control_sensors_health : Bitmask showing which onboard controllers and sensors are operational or have an error: Value of 0: not enabled. Value of 1: enabled. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
load : Maximum usage in percent of the mainloop time, (0%: 0, 100%: 1000) should be always below 1000 (uint16_t)
voltage_battery : Battery voltage, in millivolts (1 = 1 millivolt) (uint16_t)
current_battery : Battery current, in 10*milliamperes (1 = 10 milliampere), -1: autopilot does not measure the current (int16_t)
battery_remaining : Remaining battery energy: (0%: 0, 100%: 100), -1: autopilot estimate the remaining battery (int8_t)
drop_rate_comm : Communication drops in percent, (0%: 0, 100%: 10'000), (UART, I2C, SPI, CAN), dropped packets on all links (packets that were corrupted on reception on the MAV) (uint16_t)
errors_comm : Communication errors (UART, I2C, SPI, CAN), dropped packets on all links (packets that were corrupted on reception on the MAV) (uint16_t)
errors_count1 : Autopilot-specific errors (uint16_t)
errors_count2 : Autopilot-specific errors (uint16_t)
errors_count3 : Autopilot-specific errors (uint16_t)
errors_count4 : Autopilot-specific errors (uint16_t)
'''
msg = MAVLink_sys_status_message(onboard_control_sensors_present, onboard_control_sensors_enabled, onboard_control_sensors_health, load, voltage_battery, current_battery, battery_remaining, drop_rate_comm, errors_comm, errors_count1, errors_count2, errors_count3, errors_count4)
msg.pack(self)
return msg
def sys_status_send(self, onboard_control_sensors_present, onboard_control_sensors_enabled, onboard_control_sensors_health, load, voltage_battery, current_battery, battery_remaining, drop_rate_comm, errors_comm, errors_count1, errors_count2, errors_count3, errors_count4):
'''
The general system state. If the system is following the MAVLink
standard, the system state is mainly defined by three
orthogonal states/modes: The system mode, which is
either LOCKED (motors shut down and locked), MANUAL
(system under RC control), GUIDED (system with
autonomous position control, position setpoint
controlled manually) or AUTO (system guided by
path/waypoint planner). The NAV_MODE defined the
current flight state: LIFTOFF (often an open-loop
maneuver), LANDING, WAYPOINTS or VECTOR. This
represents the internal navigation state machine. The
system status shows wether the system is currently
active or not and if an emergency occured. During the
CRITICAL and EMERGENCY states the MAV is still
considered to be active, but should start emergency
procedures autonomously. After a failure occured it
should first move from active to critical to allow
manual intervention and then move to emergency after a
certain timeout.
onboard_control_sensors_present : Bitmask showing which onboard controllers and sensors are present. Value of 0: not present. Value of 1: present. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
onboard_control_sensors_enabled : Bitmask showing which onboard controllers and sensors are enabled: Value of 0: not enabled. Value of 1: enabled. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
onboard_control_sensors_health : Bitmask showing which onboard controllers and sensors are operational or have an error: Value of 0: not enabled. Value of 1: enabled. Indices: 0: 3D gyro, 1: 3D acc, 2: 3D mag, 3: absolute pressure, 4: differential pressure, 5: GPS, 6: optical flow, 7: computer vision position, 8: laser based position, 9: external ground-truth (Vicon or Leica). Controllers: 10: 3D angular rate control 11: attitude stabilization, 12: yaw position, 13: z/altitude control, 14: x/y position control, 15: motor outputs / control (uint32_t)
load : Maximum usage in percent of the mainloop time, (0%: 0, 100%: 1000) should be always below 1000 (uint16_t)
voltage_battery : Battery voltage, in millivolts (1 = 1 millivolt) (uint16_t)
current_battery : Battery current, in 10*milliamperes (1 = 10 milliampere), -1: autopilot does not measure the current (int16_t)
battery_remaining : Remaining battery energy: (0%: 0, 100%: 100), -1: autopilot estimate the remaining battery (int8_t)
drop_rate_comm : Communication drops in percent, (0%: 0, 100%: 10'000), (UART, I2C, SPI, CAN), dropped packets on all links (packets that were corrupted on reception on the MAV) (uint16_t)
errors_comm : Communication errors (UART, I2C, SPI, CAN), dropped packets on all links (packets that were corrupted on reception on the MAV) (uint16_t)
errors_count1 : Autopilot-specific errors (uint16_t)
errors_count2 : Autopilot-specific errors (uint16_t)
errors_count3 : Autopilot-specific errors (uint16_t)
errors_count4 : Autopilot-specific errors (uint16_t)
'''
return self.send(self.sys_status_encode(onboard_control_sensors_present, onboard_control_sensors_enabled, onboard_control_sensors_health, load, voltage_battery, current_battery, battery_remaining, drop_rate_comm, errors_comm, errors_count1, errors_count2, errors_count3, errors_count4))
def system_time_encode(self, time_unix_usec, time_boot_ms):
'''
The system time is the time of the master clock, typically the
computer clock of the main onboard computer.
time_unix_usec : Timestamp of the master clock in microseconds since UNIX epoch. (uint64_t)
time_boot_ms : Timestamp of the component clock since boot time in milliseconds. (uint32_t)
'''
msg = MAVLink_system_time_message(time_unix_usec, time_boot_ms)
msg.pack(self)
return msg
def system_time_send(self, time_unix_usec, time_boot_ms):
'''
The system time is the time of the master clock, typically the
computer clock of the main onboard computer.
time_unix_usec : Timestamp of the master clock in microseconds since UNIX epoch. (uint64_t)
time_boot_ms : Timestamp of the component clock since boot time in milliseconds. (uint32_t)
'''
return self.send(self.system_time_encode(time_unix_usec, time_boot_ms))
def ping_encode(self, time_usec, seq, target_system, target_component):
'''
A ping message either requesting or responding to a ping. This allows
to measure the system latencies, including serial
port, radio modem and UDP connections.
time_usec : Unix timestamp in microseconds (uint64_t)
seq : PING sequence (uint32_t)
target_system : 0: request ping from all receiving systems, if greater than 0: message is a ping response and number is the system id of the requesting system (uint8_t)
target_component : 0: request ping from all receiving components, if greater than 0: message is a ping response and number is the system id of the requesting system (uint8_t)
'''
msg = MAVLink_ping_message(time_usec, seq, target_system, target_component)
msg.pack(self)
return msg
def ping_send(self, time_usec, seq, target_system, target_component):
'''
A ping message either requesting or responding to a ping. This allows
to measure the system latencies, including serial
port, radio modem and UDP connections.
time_usec : Unix timestamp in microseconds (uint64_t)
seq : PING sequence (uint32_t)
target_system : 0: request ping from all receiving systems, if greater than 0: message is a ping response and number is the system id of the requesting system (uint8_t)
target_component : 0: request ping from all receiving components, if greater than 0: message is a ping response and number is the system id of the requesting system (uint8_t)
'''
return self.send(self.ping_encode(time_usec, seq, target_system, target_component))
def change_operator_control_encode(self, target_system, control_request, version, passkey):
'''
Request to control this MAV
target_system : System the GCS requests control for (uint8_t)
control_request : 0: request control of this MAV, 1: Release control of this MAV (uint8_t)
version : 0: key as plaintext, 1-255: future, different hashing/encryption variants. The GCS should in general use the safest mode possible initially and then gradually move down the encryption level if it gets a NACK message indicating an encryption mismatch. (uint8_t)
passkey : Password / Key, depending on version plaintext or encrypted. 25 or less characters, NULL terminated. The characters may involve A-Z, a-z, 0-9, and "!?,.-" (char)
'''
msg = MAVLink_change_operator_control_message(target_system, control_request, version, passkey)
msg.pack(self)
return msg
def change_operator_control_send(self, target_system, control_request, version, passkey):
'''
Request to control this MAV
target_system : System the GCS requests control for (uint8_t)
control_request : 0: request control of this MAV, 1: Release control of this MAV (uint8_t)
version : 0: key as plaintext, 1-255: future, different hashing/encryption variants. The GCS should in general use the safest mode possible initially and then gradually move down the encryption level if it gets a NACK message indicating an encryption mismatch. (uint8_t)
passkey : Password / Key, depending on version plaintext or encrypted. 25 or less characters, NULL terminated. The characters may involve A-Z, a-z, 0-9, and "!?,.-" (char)
'''
return self.send(self.change_operator_control_encode(target_system, control_request, version, passkey))
def change_operator_control_ack_encode(self, gcs_system_id, control_request, ack):
'''
Accept / deny control of this MAV
gcs_system_id : ID of the GCS this message (uint8_t)
control_request : 0: request control of this MAV, 1: Release control of this MAV (uint8_t)
ack : 0: ACK, 1: NACK: Wrong passkey, 2: NACK: Unsupported passkey encryption method, 3: NACK: Already under control (uint8_t)
'''
msg = MAVLink_change_operator_control_ack_message(gcs_system_id, control_request, ack)
msg.pack(self)
return msg
def change_operator_control_ack_send(self, gcs_system_id, control_request, ack):
'''
Accept / deny control of this MAV
gcs_system_id : ID of the GCS this message (uint8_t)
control_request : 0: request control of this MAV, 1: Release control of this MAV (uint8_t)
ack : 0: ACK, 1: NACK: Wrong passkey, 2: NACK: Unsupported passkey encryption method, 3: NACK: Already under control (uint8_t)
'''
return self.send(self.change_operator_control_ack_encode(gcs_system_id, control_request, ack))
def auth_key_encode(self, key):
'''
Emit an encrypted signature / key identifying this system. PLEASE
NOTE: This protocol has been kept simple, so
transmitting the key requires an encrypted channel for
true safety.
key : key (char)
'''
msg = MAVLink_auth_key_message(key)
msg.pack(self)
return msg
def auth_key_send(self, key):
'''
Emit an encrypted signature / key identifying this system. PLEASE
NOTE: This protocol has been kept simple, so
transmitting the key requires an encrypted channel for
true safety.
key : key (char)
'''
return self.send(self.auth_key_encode(key))
def set_mode_encode(self, target_system, base_mode, custom_mode):
'''
Set the system mode, as defined by enum MAV_MODE. There is no target
component id as the mode is by definition for the
overall aircraft, not only for one component.
target_system : The system setting the mode (uint8_t)
base_mode : The new base mode (uint8_t)
custom_mode : The new autopilot-specific mode. This field can be ignored by an autopilot. (uint32_t)
'''
msg = MAVLink_set_mode_message(target_system, base_mode, custom_mode)
msg.pack(self)
return msg
def set_mode_send(self, target_system, base_mode, custom_mode):
'''
Set the system mode, as defined by enum MAV_MODE. There is no target
component id as the mode is by definition for the
overall aircraft, not only for one component.
target_system : The system setting the mode (uint8_t)
base_mode : The new base mode (uint8_t)
custom_mode : The new autopilot-specific mode. This field can be ignored by an autopilot. (uint32_t)
'''
return self.send(self.set_mode_encode(target_system, base_mode, custom_mode))
def param_request_read_encode(self, target_system, target_component, param_id, param_index):
'''
Request to read the onboard parameter with the param_id string id.
Onboard parameters are stored as key[const char*] ->
value[float]. This allows to send a parameter to any
other component (such as the GCS) without the need of
previous knowledge of possible parameter names. Thus
the same GCS can store different parameters for
different autopilots. See also
http://qgroundcontrol.org/parameter_interface for a
full documentation of QGroundControl and IMU code.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_index : Parameter index. Send -1 to use the param ID field as identifier (else the param id will be ignored) (int16_t)
'''
msg = MAVLink_param_request_read_message(target_system, target_component, param_id, param_index)
msg.pack(self)
return msg
def param_request_read_send(self, target_system, target_component, param_id, param_index):
'''
Request to read the onboard parameter with the param_id string id.
Onboard parameters are stored as key[const char*] ->
value[float]. This allows to send a parameter to any
other component (such as the GCS) without the need of
previous knowledge of possible parameter names. Thus
the same GCS can store different parameters for
different autopilots. See also
http://qgroundcontrol.org/parameter_interface for a
full documentation of QGroundControl and IMU code.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_index : Parameter index. Send -1 to use the param ID field as identifier (else the param id will be ignored) (int16_t)
'''
return self.send(self.param_request_read_encode(target_system, target_component, param_id, param_index))
def param_request_list_encode(self, target_system, target_component):
'''
Request all parameters of this component. After his request, all
parameters are emitted.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
msg = MAVLink_param_request_list_message(target_system, target_component)
msg.pack(self)
return msg
def param_request_list_send(self, target_system, target_component):
'''
Request all parameters of this component. After his request, all
parameters are emitted.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
return self.send(self.param_request_list_encode(target_system, target_component))
def param_value_encode(self, param_id, param_value, param_type, param_count, param_index):
'''
Emit the value of a onboard parameter. The inclusion of param_count
and param_index in the message allows the recipient to
keep track of received parameters and allows him to
re-request missing parameters after a loss or timeout.
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_value : Onboard parameter value (float)
param_type : Onboard parameter type: see the MAV_PARAM_TYPE enum for supported data types. (uint8_t)
param_count : Total number of onboard parameters (uint16_t)
param_index : Index of this onboard parameter (uint16_t)
'''
msg = MAVLink_param_value_message(param_id, param_value, param_type, param_count, param_index)
msg.pack(self)
return msg
def param_value_send(self, param_id, param_value, param_type, param_count, param_index):
'''
Emit the value of a onboard parameter. The inclusion of param_count
and param_index in the message allows the recipient to
keep track of received parameters and allows him to
re-request missing parameters after a loss or timeout.
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_value : Onboard parameter value (float)
param_type : Onboard parameter type: see the MAV_PARAM_TYPE enum for supported data types. (uint8_t)
param_count : Total number of onboard parameters (uint16_t)
param_index : Index of this onboard parameter (uint16_t)
'''
return self.send(self.param_value_encode(param_id, param_value, param_type, param_count, param_index))
def param_set_encode(self, target_system, target_component, param_id, param_value, param_type):
'''
Set a parameter value TEMPORARILY to RAM. It will be reset to default
on system reboot. Send the ACTION
MAV_ACTION_STORAGE_WRITE to PERMANENTLY write the RAM
contents to EEPROM. IMPORTANT: The receiving component
should acknowledge the new parameter value by sending
a param_value message to all communication partners.
This will also ensure that multiple GCS all have an
up-to-date list of all parameters. If the sending GCS
did not receive a PARAM_VALUE message within its
timeout time, it should re-send the PARAM_SET message.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_value : Onboard parameter value (float)
param_type : Onboard parameter type: see the MAV_PARAM_TYPE enum for supported data types. (uint8_t)
'''
msg = MAVLink_param_set_message(target_system, target_component, param_id, param_value, param_type)
msg.pack(self)
return msg
def param_set_send(self, target_system, target_component, param_id, param_value, param_type):
'''
Set a parameter value TEMPORARILY to RAM. It will be reset to default
on system reboot. Send the ACTION
MAV_ACTION_STORAGE_WRITE to PERMANENTLY write the RAM
contents to EEPROM. IMPORTANT: The receiving component
should acknowledge the new parameter value by sending
a param_value message to all communication partners.
This will also ensure that multiple GCS all have an
up-to-date list of all parameters. If the sending GCS
did not receive a PARAM_VALUE message within its
timeout time, it should re-send the PARAM_SET message.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
param_id : Onboard parameter id, terminated by NULL if the length is less than 16 human-readable chars and WITHOUT null termination (NULL) byte if the length is exactly 16 chars - applications have to provide 16+1 bytes storage if the ID is stored as string (char)
param_value : Onboard parameter value (float)
param_type : Onboard parameter type: see the MAV_PARAM_TYPE enum for supported data types. (uint8_t)
'''
return self.send(self.param_set_encode(target_system, target_component, param_id, param_value, param_type))
def gps_raw_int_encode(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
'''
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : 0-1: no fix, 2: 2D fix, 3: 3D fix. Some applications will not use the value of this field unless it is at least two, so always correctly fill in the fix. (uint8_t)
lat : Latitude in 1E7 degrees (int32_t)
lon : Longitude in 1E7 degrees (int32_t)
alt : Altitude in 1E3 meters (millimeters) above MSL (int32_t)
eph : GPS HDOP horizontal dilution of position in cm (m*100). If unknown, set to: 65535 (uint16_t)
epv : GPS VDOP horizontal dilution of position in cm (m*100). If unknown, set to: 65535 (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: 65535 (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: 65535 (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
'''
msg = MAVLink_gps_raw_int_message(time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible)
msg.pack(self)
return msg
def gps_raw_int_send(self, time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible):
'''
The global position, as returned by the Global Positioning System
(GPS). This is NOT the global position
estimate of the system, but rather a RAW sensor value.
See message GLOBAL_POSITION for the global position
estimate. Coordinate frame is right-handed, Z-axis up
(GPS frame).
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
fix_type : 0-1: no fix, 2: 2D fix, 3: 3D fix. Some applications will not use the value of this field unless it is at least two, so always correctly fill in the fix. (uint8_t)
lat : Latitude in 1E7 degrees (int32_t)
lon : Longitude in 1E7 degrees (int32_t)
alt : Altitude in 1E3 meters (millimeters) above MSL (int32_t)
eph : GPS HDOP horizontal dilution of position in cm (m*100). If unknown, set to: 65535 (uint16_t)
epv : GPS VDOP horizontal dilution of position in cm (m*100). If unknown, set to: 65535 (uint16_t)
vel : GPS ground speed (m/s * 100). If unknown, set to: 65535 (uint16_t)
cog : Course over ground (NOT heading, but direction of movement) in degrees * 100, 0.0..359.99 degrees. If unknown, set to: 65535 (uint16_t)
satellites_visible : Number of satellites visible. If unknown, set to 255 (uint8_t)
'''
return self.send(self.gps_raw_int_encode(time_usec, fix_type, lat, lon, alt, eph, epv, vel, cog, satellites_visible))
def gps_status_encode(self, satellites_visible, satellite_prn, satellite_used, satellite_elevation, satellite_azimuth, satellite_snr):
'''
The positioning status, as reported by GPS. This message is intended
to display status information about each satellite
visible to the receiver. See message GLOBAL_POSITION
for the global position estimate. This message can
contain information for up to 20 satellites.
satellites_visible : Number of satellites visible (uint8_t)
satellite_prn : Global satellite ID (uint8_t)
satellite_used : 0: Satellite not used, 1: used for localization (uint8_t)
satellite_elevation : Elevation (0: right on top of receiver, 90: on the horizon) of satellite (uint8_t)
satellite_azimuth : Direction of satellite, 0: 0 deg, 255: 360 deg. (uint8_t)
satellite_snr : Signal to noise ratio of satellite (uint8_t)
'''
msg = MAVLink_gps_status_message(satellites_visible, satellite_prn, satellite_used, satellite_elevation, satellite_azimuth, satellite_snr)
msg.pack(self)
return msg
def gps_status_send(self, satellites_visible, satellite_prn, satellite_used, satellite_elevation, satellite_azimuth, satellite_snr):
'''
The positioning status, as reported by GPS. This message is intended
to display status information about each satellite
visible to the receiver. See message GLOBAL_POSITION
for the global position estimate. This message can
contain information for up to 20 satellites.
satellites_visible : Number of satellites visible (uint8_t)
satellite_prn : Global satellite ID (uint8_t)
satellite_used : 0: Satellite not used, 1: used for localization (uint8_t)
satellite_elevation : Elevation (0: right on top of receiver, 90: on the horizon) of satellite (uint8_t)
satellite_azimuth : Direction of satellite, 0: 0 deg, 255: 360 deg. (uint8_t)
satellite_snr : Signal to noise ratio of satellite (uint8_t)
'''
return self.send(self.gps_status_encode(satellites_visible, satellite_prn, satellite_used, satellite_elevation, satellite_azimuth, satellite_snr))
def scaled_imu_encode(self, time_boot_ms, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This message
should contain the scaled values to the described
units
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
xacc : X acceleration (mg) (int16_t)
yacc : Y acceleration (mg) (int16_t)
zacc : Z acceleration (mg) (int16_t)
xgyro : Angular speed around X axis (millirad /sec) (int16_t)
ygyro : Angular speed around Y axis (millirad /sec) (int16_t)
zgyro : Angular speed around Z axis (millirad /sec) (int16_t)
xmag : X Magnetic field (milli tesla) (int16_t)
ymag : Y Magnetic field (milli tesla) (int16_t)
zmag : Z Magnetic field (milli tesla) (int16_t)
'''
msg = MAVLink_scaled_imu_message(time_boot_ms, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag)
msg.pack(self)
return msg
def scaled_imu_send(self, time_boot_ms, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This message
should contain the scaled values to the described
units
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
xacc : X acceleration (mg) (int16_t)
yacc : Y acceleration (mg) (int16_t)
zacc : Z acceleration (mg) (int16_t)
xgyro : Angular speed around X axis (millirad /sec) (int16_t)
ygyro : Angular speed around Y axis (millirad /sec) (int16_t)
zgyro : Angular speed around Z axis (millirad /sec) (int16_t)
xmag : X Magnetic field (milli tesla) (int16_t)
ymag : Y Magnetic field (milli tesla) (int16_t)
zmag : Z Magnetic field (milli tesla) (int16_t)
'''
return self.send(self.scaled_imu_encode(time_boot_ms, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag))
def raw_imu_encode(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This message
should always contain the true raw values without any
scaling to allow data capture and system debugging.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
xacc : X acceleration (raw) (int16_t)
yacc : Y acceleration (raw) (int16_t)
zacc : Z acceleration (raw) (int16_t)
xgyro : Angular speed around X axis (raw) (int16_t)
ygyro : Angular speed around Y axis (raw) (int16_t)
zgyro : Angular speed around Z axis (raw) (int16_t)
xmag : X Magnetic field (raw) (int16_t)
ymag : Y Magnetic field (raw) (int16_t)
zmag : Z Magnetic field (raw) (int16_t)
'''
msg = MAVLink_raw_imu_message(time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag)
msg.pack(self)
return msg
def raw_imu_send(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag):
'''
The RAW IMU readings for the usual 9DOF sensor setup. This message
should always contain the true raw values without any
scaling to allow data capture and system debugging.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
xacc : X acceleration (raw) (int16_t)
yacc : Y acceleration (raw) (int16_t)
zacc : Z acceleration (raw) (int16_t)
xgyro : Angular speed around X axis (raw) (int16_t)
ygyro : Angular speed around Y axis (raw) (int16_t)
zgyro : Angular speed around Z axis (raw) (int16_t)
xmag : X Magnetic field (raw) (int16_t)
ymag : Y Magnetic field (raw) (int16_t)
zmag : Z Magnetic field (raw) (int16_t)
'''
return self.send(self.raw_imu_encode(time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag))
def raw_pressure_encode(self, time_usec, press_abs, press_diff1, press_diff2, temperature):
'''
The RAW pressure readings for the typical setup of one absolute
pressure and one differential pressure sensor. The
sensor values should be the raw, UNSCALED ADC values.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
press_abs : Absolute pressure (raw) (int16_t)
press_diff1 : Differential pressure 1 (raw) (int16_t)
press_diff2 : Differential pressure 2 (raw) (int16_t)
temperature : Raw Temperature measurement (raw) (int16_t)
'''
msg = MAVLink_raw_pressure_message(time_usec, press_abs, press_diff1, press_diff2, temperature)
msg.pack(self)
return msg
def raw_pressure_send(self, time_usec, press_abs, press_diff1, press_diff2, temperature):
'''
The RAW pressure readings for the typical setup of one absolute
pressure and one differential pressure sensor. The
sensor values should be the raw, UNSCALED ADC values.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
press_abs : Absolute pressure (raw) (int16_t)
press_diff1 : Differential pressure 1 (raw) (int16_t)
press_diff2 : Differential pressure 2 (raw) (int16_t)
temperature : Raw Temperature measurement (raw) (int16_t)
'''
return self.send(self.raw_pressure_encode(time_usec, press_abs, press_diff1, press_diff2, temperature))
def scaled_pressure_encode(self, time_boot_ms, press_abs, press_diff, temperature):
'''
The pressure readings for the typical setup of one absolute and
differential pressure sensor. The units are as
specified in each field.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
press_abs : Absolute pressure (hectopascal) (float)
press_diff : Differential pressure 1 (hectopascal) (float)
temperature : Temperature measurement (0.01 degrees celsius) (int16_t)
'''
msg = MAVLink_scaled_pressure_message(time_boot_ms, press_abs, press_diff, temperature)
msg.pack(self)
return msg
def scaled_pressure_send(self, time_boot_ms, press_abs, press_diff, temperature):
'''
The pressure readings for the typical setup of one absolute and
differential pressure sensor. The units are as
specified in each field.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
press_abs : Absolute pressure (hectopascal) (float)
press_diff : Differential pressure 1 (hectopascal) (float)
temperature : Temperature measurement (0.01 degrees celsius) (int16_t)
'''
return self.send(self.scaled_pressure_encode(time_boot_ms, press_abs, press_diff, temperature))
def attitude_encode(self, time_boot_ms, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed):
'''
The attitude in the aeronautical frame (right-handed, Z-down, X-front,
Y-right).
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
roll : Roll angle (rad, -pi..+pi) (float)
pitch : Pitch angle (rad, -pi..+pi) (float)
yaw : Yaw angle (rad, -pi..+pi) (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
'''
msg = MAVLink_attitude_message(time_boot_ms, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed)
msg.pack(self)
return msg
def attitude_send(self, time_boot_ms, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed):
'''
The attitude in the aeronautical frame (right-handed, Z-down, X-front,
Y-right).
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
roll : Roll angle (rad, -pi..+pi) (float)
pitch : Pitch angle (rad, -pi..+pi) (float)
yaw : Yaw angle (rad, -pi..+pi) (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
'''
return self.send(self.attitude_encode(time_boot_ms, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed))
def attitude_quaternion_encode(self, time_boot_ms, q1, q2, q3, q4, rollspeed, pitchspeed, yawspeed):
'''
The attitude in the aeronautical frame (right-handed, Z-down, X-front,
Y-right), expressed as quaternion.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
q1 : Quaternion component 1 (float)
q2 : Quaternion component 2 (float)
q3 : Quaternion component 3 (float)
q4 : Quaternion component 4 (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
'''
msg = MAVLink_attitude_quaternion_message(time_boot_ms, q1, q2, q3, q4, rollspeed, pitchspeed, yawspeed)
msg.pack(self)
return msg
def attitude_quaternion_send(self, time_boot_ms, q1, q2, q3, q4, rollspeed, pitchspeed, yawspeed):
'''
The attitude in the aeronautical frame (right-handed, Z-down, X-front,
Y-right), expressed as quaternion.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
q1 : Quaternion component 1 (float)
q2 : Quaternion component 2 (float)
q3 : Quaternion component 3 (float)
q4 : Quaternion component 4 (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
'''
return self.send(self.attitude_quaternion_encode(time_boot_ms, q1, q2, q3, q4, rollspeed, pitchspeed, yawspeed))
def local_position_ned_encode(self, time_boot_ms, x, y, z, vx, vy, vz):
'''
The filtered local position (e.g. fused computer vision and
accelerometers). Coordinate frame is right-handed,
Z-axis down (aeronautical frame, NED / north-east-down
convention)
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
x : X Position (float)
y : Y Position (float)
z : Z Position (float)
vx : X Speed (float)
vy : Y Speed (float)
vz : Z Speed (float)
'''
msg = MAVLink_local_position_ned_message(time_boot_ms, x, y, z, vx, vy, vz)
msg.pack(self)
return msg
def local_position_ned_send(self, time_boot_ms, x, y, z, vx, vy, vz):
'''
The filtered local position (e.g. fused computer vision and
accelerometers). Coordinate frame is right-handed,
Z-axis down (aeronautical frame, NED / north-east-down
convention)
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
x : X Position (float)
y : Y Position (float)
z : Z Position (float)
vx : X Speed (float)
vy : Y Speed (float)
vz : Z Speed (float)
'''
return self.send(self.local_position_ned_encode(time_boot_ms, x, y, z, vx, vy, vz))
def global_position_int_encode(self, time_boot_ms, lat, lon, alt, relative_alt, vx, vy, vz, hdg):
'''
The filtered global position (e.g. fused GPS and accelerometers). The
position is in GPS-frame (right-handed, Z-up). It
is designed as scaled integer message since the
resolution of float is not sufficient.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
lat : Latitude, expressed as * 1E7 (int32_t)
lon : Longitude, expressed as * 1E7 (int32_t)
alt : Altitude in meters, expressed as * 1000 (millimeters), above MSL (int32_t)
relative_alt : Altitude above ground in meters, expressed as * 1000 (millimeters) (int32_t)
vx : Ground X Speed (Latitude), expressed as m/s * 100 (int16_t)
vy : Ground Y Speed (Longitude), expressed as m/s * 100 (int16_t)
vz : Ground Z Speed (Altitude), expressed as m/s * 100 (int16_t)
hdg : Compass heading in degrees * 100, 0.0..359.99 degrees. If unknown, set to: 65535 (uint16_t)
'''
msg = MAVLink_global_position_int_message(time_boot_ms, lat, lon, alt, relative_alt, vx, vy, vz, hdg)
msg.pack(self)
return msg
def global_position_int_send(self, time_boot_ms, lat, lon, alt, relative_alt, vx, vy, vz, hdg):
'''
The filtered global position (e.g. fused GPS and accelerometers). The
position is in GPS-frame (right-handed, Z-up). It
is designed as scaled integer message since the
resolution of float is not sufficient.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
lat : Latitude, expressed as * 1E7 (int32_t)
lon : Longitude, expressed as * 1E7 (int32_t)
alt : Altitude in meters, expressed as * 1000 (millimeters), above MSL (int32_t)
relative_alt : Altitude above ground in meters, expressed as * 1000 (millimeters) (int32_t)
vx : Ground X Speed (Latitude), expressed as m/s * 100 (int16_t)
vy : Ground Y Speed (Longitude), expressed as m/s * 100 (int16_t)
vz : Ground Z Speed (Altitude), expressed as m/s * 100 (int16_t)
hdg : Compass heading in degrees * 100, 0.0..359.99 degrees. If unknown, set to: 65535 (uint16_t)
'''
return self.send(self.global_position_int_encode(time_boot_ms, lat, lon, alt, relative_alt, vx, vy, vz, hdg))
def rc_channels_scaled_encode(self, time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi):
'''
The scaled values of the RC channels received. (-100%) -10000, (0%) 0,
(100%) 10000. Channels that are inactive should be set
to 65535.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows for more than 8 servos. (uint8_t)
chan1_scaled : RC channel 1 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan2_scaled : RC channel 2 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan3_scaled : RC channel 3 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan4_scaled : RC channel 4 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan5_scaled : RC channel 5 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan6_scaled : RC channel 6 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan7_scaled : RC channel 7 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan8_scaled : RC channel 8 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
rssi : Receive signal strength indicator, 0: 0%, 100: 100%, 255: invalid/unknown. (uint8_t)
'''
msg = MAVLink_rc_channels_scaled_message(time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi)
msg.pack(self)
return msg
def rc_channels_scaled_send(self, time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi):
'''
The scaled values of the RC channels received. (-100%) -10000, (0%) 0,
(100%) 10000. Channels that are inactive should be set
to 65535.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows for more than 8 servos. (uint8_t)
chan1_scaled : RC channel 1 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan2_scaled : RC channel 2 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan3_scaled : RC channel 3 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan4_scaled : RC channel 4 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan5_scaled : RC channel 5 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan6_scaled : RC channel 6 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan7_scaled : RC channel 7 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
chan8_scaled : RC channel 8 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) 32767. (int16_t)
rssi : Receive signal strength indicator, 0: 0%, 100: 100%, 255: invalid/unknown. (uint8_t)
'''
return self.send(self.rc_channels_scaled_encode(time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi))
def rc_channels_raw_encode(self, time_boot_ms, port, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, rssi):
'''
The RAW values of the RC channels received. The standard PPM
modulation is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%. Individual receivers/transmitters
might violate this specification.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows for more than 8 servos. (uint8_t)
chan1_raw : RC channel 1 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan2_raw : RC channel 2 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan3_raw : RC channel 3 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan4_raw : RC channel 4 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan5_raw : RC channel 5 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan6_raw : RC channel 6 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan7_raw : RC channel 7 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan8_raw : RC channel 8 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
rssi : Receive signal strength indicator, 0: 0%, 100: 100%, 255: invalid/unknown. (uint8_t)
'''
msg = MAVLink_rc_channels_raw_message(time_boot_ms, port, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, rssi)
msg.pack(self)
return msg
def rc_channels_raw_send(self, time_boot_ms, port, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, rssi):
'''
The RAW values of the RC channels received. The standard PPM
modulation is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%. Individual receivers/transmitters
might violate this specification.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows for more than 8 servos. (uint8_t)
chan1_raw : RC channel 1 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan2_raw : RC channel 2 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan3_raw : RC channel 3 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan4_raw : RC channel 4 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan5_raw : RC channel 5 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan6_raw : RC channel 6 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan7_raw : RC channel 7 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
chan8_raw : RC channel 8 value, in microseconds. A value of 65535 implies the channel is unused. (uint16_t)
rssi : Receive signal strength indicator, 0: 0%, 100: 100%, 255: invalid/unknown. (uint8_t)
'''
return self.send(self.rc_channels_raw_encode(time_boot_ms, port, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, rssi))
def servo_output_raw_encode(self, time_boot_ms, port, servo1_raw, servo2_raw, servo3_raw, servo4_raw, servo5_raw, servo6_raw, servo7_raw, servo8_raw):
'''
The RAW values of the servo outputs (for RC input from the remote, use
the RC_CHANNELS messages). The standard PPM modulation
is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%.
time_boot_ms : Timestamp (microseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows to encode more than 8 servos. (uint8_t)
servo1_raw : Servo output 1 value, in microseconds (uint16_t)
servo2_raw : Servo output 2 value, in microseconds (uint16_t)
servo3_raw : Servo output 3 value, in microseconds (uint16_t)
servo4_raw : Servo output 4 value, in microseconds (uint16_t)
servo5_raw : Servo output 5 value, in microseconds (uint16_t)
servo6_raw : Servo output 6 value, in microseconds (uint16_t)
servo7_raw : Servo output 7 value, in microseconds (uint16_t)
servo8_raw : Servo output 8 value, in microseconds (uint16_t)
'''
msg = MAVLink_servo_output_raw_message(time_boot_ms, port, servo1_raw, servo2_raw, servo3_raw, servo4_raw, servo5_raw, servo6_raw, servo7_raw, servo8_raw)
msg.pack(self)
return msg
def servo_output_raw_send(self, time_boot_ms, port, servo1_raw, servo2_raw, servo3_raw, servo4_raw, servo5_raw, servo6_raw, servo7_raw, servo8_raw):
'''
The RAW values of the servo outputs (for RC input from the remote, use
the RC_CHANNELS messages). The standard PPM modulation
is as follows: 1000 microseconds: 0%, 2000
microseconds: 100%.
time_boot_ms : Timestamp (microseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows to encode more than 8 servos. (uint8_t)
servo1_raw : Servo output 1 value, in microseconds (uint16_t)
servo2_raw : Servo output 2 value, in microseconds (uint16_t)
servo3_raw : Servo output 3 value, in microseconds (uint16_t)
servo4_raw : Servo output 4 value, in microseconds (uint16_t)
servo5_raw : Servo output 5 value, in microseconds (uint16_t)
servo6_raw : Servo output 6 value, in microseconds (uint16_t)
servo7_raw : Servo output 7 value, in microseconds (uint16_t)
servo8_raw : Servo output 8 value, in microseconds (uint16_t)
'''
return self.send(self.servo_output_raw_encode(time_boot_ms, port, servo1_raw, servo2_raw, servo3_raw, servo4_raw, servo5_raw, servo6_raw, servo7_raw, servo8_raw))
def mission_request_partial_list_encode(self, target_system, target_component, start_index, end_index):
'''
Request a partial list of mission items from the system/component.
http://qgroundcontrol.org/mavlink/waypoint_protocol.
If start and end index are the same, just send one
waypoint.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
start_index : Start index, 0 by default (int16_t)
end_index : End index, -1 by default (-1: send list to end). Else a valid index of the list (int16_t)
'''
msg = MAVLink_mission_request_partial_list_message(target_system, target_component, start_index, end_index)
msg.pack(self)
return msg
def mission_request_partial_list_send(self, target_system, target_component, start_index, end_index):
'''
Request a partial list of mission items from the system/component.
http://qgroundcontrol.org/mavlink/waypoint_protocol.
If start and end index are the same, just send one
waypoint.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
start_index : Start index, 0 by default (int16_t)
end_index : End index, -1 by default (-1: send list to end). Else a valid index of the list (int16_t)
'''
return self.send(self.mission_request_partial_list_encode(target_system, target_component, start_index, end_index))
def mission_write_partial_list_encode(self, target_system, target_component, start_index, end_index):
'''
This message is sent to the MAV to write a partial list. If start
index == end index, only one item will be transmitted
/ updated. If the start index is NOT 0 and above the
current list size, this request should be REJECTED!
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
start_index : Start index, 0 by default and smaller / equal to the largest index of the current onboard list. (int16_t)
end_index : End index, equal or greater than start index. (int16_t)
'''
msg = MAVLink_mission_write_partial_list_message(target_system, target_component, start_index, end_index)
msg.pack(self)
return msg
def mission_write_partial_list_send(self, target_system, target_component, start_index, end_index):
'''
This message is sent to the MAV to write a partial list. If start
index == end index, only one item will be transmitted
/ updated. If the start index is NOT 0 and above the
current list size, this request should be REJECTED!
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
start_index : Start index, 0 by default and smaller / equal to the largest index of the current onboard list. (int16_t)
end_index : End index, equal or greater than start index. (int16_t)
'''
return self.send(self.mission_write_partial_list_encode(target_system, target_component, start_index, end_index))
def mission_item_encode(self, target_system, target_component, seq, frame, command, current, autocontinue, param1, param2, param3, param4, x, y, z):
'''
Message encoding a mission item. This message is emitted to announce
the presence of a mission item and to set a mission
item on the system. The mission item can be either in
x, y, z meters (type: LOCAL) or x:lat, y:lon,
z:altitude. Local frame is Z-down, right handed (NED),
global frame is Z-up, right handed (ENU). See also
http://qgroundcontrol.org/mavlink/waypoint_protocol.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
frame : The coordinate system of the MISSION. see MAV_FRAME in mavlink_types.h (uint8_t)
command : The scheduled action for the MISSION. see MAV_CMD in common.xml MAVLink specs (uint16_t)
current : false:0, true:1 (uint8_t)
autocontinue : autocontinue to next wp (uint8_t)
param1 : PARAM1 / For NAV command MISSIONs: Radius in which the MISSION is accepted as reached, in meters (float)
param2 : PARAM2 / For NAV command MISSIONs: Time that the MAV should stay inside the PARAM1 radius before advancing, in milliseconds (float)
param3 : PARAM3 / For LOITER command MISSIONs: Orbit to circle around the MISSION, in meters. If positive the orbit direction should be clockwise, if negative the orbit direction should be counter-clockwise. (float)
param4 : PARAM4 / For NAV and LOITER command MISSIONs: Yaw orientation in degrees, [0..360] 0 = NORTH (float)
x : PARAM5 / local: x position, global: latitude (float)
y : PARAM6 / y position: global: longitude (float)
z : PARAM7 / z position: global: altitude (float)
'''
msg = MAVLink_mission_item_message(target_system, target_component, seq, frame, command, current, autocontinue, param1, param2, param3, param4, x, y, z)
msg.pack(self)
return msg
def mission_item_send(self, target_system, target_component, seq, frame, command, current, autocontinue, param1, param2, param3, param4, x, y, z):
'''
Message encoding a mission item. This message is emitted to announce
the presence of a mission item and to set a mission
item on the system. The mission item can be either in
x, y, z meters (type: LOCAL) or x:lat, y:lon,
z:altitude. Local frame is Z-down, right handed (NED),
global frame is Z-up, right handed (ENU). See also
http://qgroundcontrol.org/mavlink/waypoint_protocol.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
frame : The coordinate system of the MISSION. see MAV_FRAME in mavlink_types.h (uint8_t)
command : The scheduled action for the MISSION. see MAV_CMD in common.xml MAVLink specs (uint16_t)
current : false:0, true:1 (uint8_t)
autocontinue : autocontinue to next wp (uint8_t)
param1 : PARAM1 / For NAV command MISSIONs: Radius in which the MISSION is accepted as reached, in meters (float)
param2 : PARAM2 / For NAV command MISSIONs: Time that the MAV should stay inside the PARAM1 radius before advancing, in milliseconds (float)
param3 : PARAM3 / For LOITER command MISSIONs: Orbit to circle around the MISSION, in meters. If positive the orbit direction should be clockwise, if negative the orbit direction should be counter-clockwise. (float)
param4 : PARAM4 / For NAV and LOITER command MISSIONs: Yaw orientation in degrees, [0..360] 0 = NORTH (float)
x : PARAM5 / local: x position, global: latitude (float)
y : PARAM6 / y position: global: longitude (float)
z : PARAM7 / z position: global: altitude (float)
'''
return self.send(self.mission_item_encode(target_system, target_component, seq, frame, command, current, autocontinue, param1, param2, param3, param4, x, y, z))
def mission_request_encode(self, target_system, target_component, seq):
'''
Request the information of the mission item with the sequence number
seq. The response of the system to this message should
be a MISSION_ITEM message.
http://qgroundcontrol.org/mavlink/waypoint_protocol
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
'''
msg = MAVLink_mission_request_message(target_system, target_component, seq)
msg.pack(self)
return msg
def mission_request_send(self, target_system, target_component, seq):
'''
Request the information of the mission item with the sequence number
seq. The response of the system to this message should
be a MISSION_ITEM message.
http://qgroundcontrol.org/mavlink/waypoint_protocol
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
'''
return self.send(self.mission_request_encode(target_system, target_component, seq))
def mission_set_current_encode(self, target_system, target_component, seq):
'''
Set the mission item with sequence number seq as current item. This
means that the MAV will continue to this mission item
on the shortest path (not following the mission items
in-between).
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
'''
msg = MAVLink_mission_set_current_message(target_system, target_component, seq)
msg.pack(self)
return msg
def mission_set_current_send(self, target_system, target_component, seq):
'''
Set the mission item with sequence number seq as current item. This
means that the MAV will continue to this mission item
on the shortest path (not following the mission items
in-between).
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
seq : Sequence (uint16_t)
'''
return self.send(self.mission_set_current_encode(target_system, target_component, seq))
def mission_current_encode(self, seq):
'''
Message that announces the sequence number of the current active
mission item. The MAV will fly towards this mission
item.
seq : Sequence (uint16_t)
'''
msg = MAVLink_mission_current_message(seq)
msg.pack(self)
return msg
def mission_current_send(self, seq):
'''
Message that announces the sequence number of the current active
mission item. The MAV will fly towards this mission
item.
seq : Sequence (uint16_t)
'''
return self.send(self.mission_current_encode(seq))
def mission_request_list_encode(self, target_system, target_component):
'''
Request the overall list of mission items from the system/component.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
msg = MAVLink_mission_request_list_message(target_system, target_component)
msg.pack(self)
return msg
def mission_request_list_send(self, target_system, target_component):
'''
Request the overall list of mission items from the system/component.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
return self.send(self.mission_request_list_encode(target_system, target_component))
def mission_count_encode(self, target_system, target_component, count):
'''
This message is emitted as response to MISSION_REQUEST_LIST by the MAV
and to initiate a write transaction. The GCS can then
request the individual mission item based on the
knowledge of the total number of MISSIONs.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
count : Number of mission items in the sequence (uint16_t)
'''
msg = MAVLink_mission_count_message(target_system, target_component, count)
msg.pack(self)
return msg
def mission_count_send(self, target_system, target_component, count):
'''
This message is emitted as response to MISSION_REQUEST_LIST by the MAV
and to initiate a write transaction. The GCS can then
request the individual mission item based on the
knowledge of the total number of MISSIONs.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
count : Number of mission items in the sequence (uint16_t)
'''
return self.send(self.mission_count_encode(target_system, target_component, count))
def mission_clear_all_encode(self, target_system, target_component):
'''
Delete all mission items at once.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
msg = MAVLink_mission_clear_all_message(target_system, target_component)
msg.pack(self)
return msg
def mission_clear_all_send(self, target_system, target_component):
'''
Delete all mission items at once.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
'''
return self.send(self.mission_clear_all_encode(target_system, target_component))
def mission_item_reached_encode(self, seq):
'''
A certain mission item has been reached. The system will either hold
this position (or circle on the orbit) or (if the
autocontinue on the WP was set) continue to the next
MISSION.
seq : Sequence (uint16_t)
'''
msg = MAVLink_mission_item_reached_message(seq)
msg.pack(self)
return msg
def mission_item_reached_send(self, seq):
'''
A certain mission item has been reached. The system will either hold
this position (or circle on the orbit) or (if the
autocontinue on the WP was set) continue to the next
MISSION.
seq : Sequence (uint16_t)
'''
return self.send(self.mission_item_reached_encode(seq))
def mission_ack_encode(self, target_system, target_component, type):
'''
Ack message during MISSION handling. The type field states if this
message is a positive ack (type=0) or if an error
happened (type=non-zero).
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
type : See MAV_MISSION_RESULT enum (uint8_t)
'''
msg = MAVLink_mission_ack_message(target_system, target_component, type)
msg.pack(self)
return msg
def mission_ack_send(self, target_system, target_component, type):
'''
Ack message during MISSION handling. The type field states if this
message is a positive ack (type=0) or if an error
happened (type=non-zero).
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
type : See MAV_MISSION_RESULT enum (uint8_t)
'''
return self.send(self.mission_ack_encode(target_system, target_component, type))
def set_gps_global_origin_encode(self, target_system, latitude, longitude, altitude):
'''
As local waypoints exist, the global MISSION reference allows to
transform between the local coordinate frame and the
global (GPS) coordinate frame. This can be necessary
when e.g. in- and outdoor settings are connected and
the MAV should move from in- to outdoor.
target_system : System ID (uint8_t)
latitude : global position * 1E7 (int32_t)
longitude : global position * 1E7 (int32_t)
altitude : global position * 1000 (int32_t)
'''
msg = MAVLink_set_gps_global_origin_message(target_system, latitude, longitude, altitude)
msg.pack(self)
return msg
def set_gps_global_origin_send(self, target_system, latitude, longitude, altitude):
'''
As local waypoints exist, the global MISSION reference allows to
transform between the local coordinate frame and the
global (GPS) coordinate frame. This can be necessary
when e.g. in- and outdoor settings are connected and
the MAV should move from in- to outdoor.
target_system : System ID (uint8_t)
latitude : global position * 1E7 (int32_t)
longitude : global position * 1E7 (int32_t)
altitude : global position * 1000 (int32_t)
'''
return self.send(self.set_gps_global_origin_encode(target_system, latitude, longitude, altitude))
def gps_global_origin_encode(self, latitude, longitude, altitude):
'''
Once the MAV sets a new GPS-Local correspondence, this message
announces the origin (0,0,0) position
latitude : Latitude (WGS84), expressed as * 1E7 (int32_t)
longitude : Longitude (WGS84), expressed as * 1E7 (int32_t)
altitude : Altitude(WGS84), expressed as * 1000 (int32_t)
'''
msg = MAVLink_gps_global_origin_message(latitude, longitude, altitude)
msg.pack(self)
return msg
def gps_global_origin_send(self, latitude, longitude, altitude):
'''
Once the MAV sets a new GPS-Local correspondence, this message
announces the origin (0,0,0) position
latitude : Latitude (WGS84), expressed as * 1E7 (int32_t)
longitude : Longitude (WGS84), expressed as * 1E7 (int32_t)
altitude : Altitude(WGS84), expressed as * 1000 (int32_t)
'''
return self.send(self.gps_global_origin_encode(latitude, longitude, altitude))
def set_local_position_setpoint_encode(self, target_system, target_component, coordinate_frame, x, y, z, yaw):
'''
Set the setpoint for a local position controller. This is the position
in local coordinates the MAV should fly to. This
message is sent by the path/MISSION planner to the
onboard position controller. As some MAVs have a
degree of freedom in yaw (e.g. all
helicopters/quadrotors), the desired yaw angle is part
of the message.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_LOCAL_NED or MAV_FRAME_LOCAL_ENU (uint8_t)
x : x position (float)
y : y position (float)
z : z position (float)
yaw : Desired yaw angle (float)
'''
msg = MAVLink_set_local_position_setpoint_message(target_system, target_component, coordinate_frame, x, y, z, yaw)
msg.pack(self)
return msg
def set_local_position_setpoint_send(self, target_system, target_component, coordinate_frame, x, y, z, yaw):
'''
Set the setpoint for a local position controller. This is the position
in local coordinates the MAV should fly to. This
message is sent by the path/MISSION planner to the
onboard position controller. As some MAVs have a
degree of freedom in yaw (e.g. all
helicopters/quadrotors), the desired yaw angle is part
of the message.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_LOCAL_NED or MAV_FRAME_LOCAL_ENU (uint8_t)
x : x position (float)
y : y position (float)
z : z position (float)
yaw : Desired yaw angle (float)
'''
return self.send(self.set_local_position_setpoint_encode(target_system, target_component, coordinate_frame, x, y, z, yaw))
def local_position_setpoint_encode(self, coordinate_frame, x, y, z, yaw):
'''
Transmit the current local setpoint of the controller to other MAVs
(collision avoidance) and to the GCS.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_LOCAL_NED or MAV_FRAME_LOCAL_ENU (uint8_t)
x : x position (float)
y : y position (float)
z : z position (float)
yaw : Desired yaw angle (float)
'''
msg = MAVLink_local_position_setpoint_message(coordinate_frame, x, y, z, yaw)
msg.pack(self)
return msg
def local_position_setpoint_send(self, coordinate_frame, x, y, z, yaw):
'''
Transmit the current local setpoint of the controller to other MAVs
(collision avoidance) and to the GCS.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_LOCAL_NED or MAV_FRAME_LOCAL_ENU (uint8_t)
x : x position (float)
y : y position (float)
z : z position (float)
yaw : Desired yaw angle (float)
'''
return self.send(self.local_position_setpoint_encode(coordinate_frame, x, y, z, yaw))
def global_position_setpoint_int_encode(self, coordinate_frame, latitude, longitude, altitude, yaw):
'''
Transmit the current local setpoint of the controller to other MAVs
(collision avoidance) and to the GCS.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_GLOBAL or MAV_FRAME_GLOBAL_RELATIVE_ALT (uint8_t)
latitude : WGS84 Latitude position in degrees * 1E7 (int32_t)
longitude : WGS84 Longitude position in degrees * 1E7 (int32_t)
altitude : WGS84 Altitude in meters * 1000 (positive for up) (int32_t)
yaw : Desired yaw angle in degrees * 100 (int16_t)
'''
msg = MAVLink_global_position_setpoint_int_message(coordinate_frame, latitude, longitude, altitude, yaw)
msg.pack(self)
return msg
def global_position_setpoint_int_send(self, coordinate_frame, latitude, longitude, altitude, yaw):
'''
Transmit the current local setpoint of the controller to other MAVs
(collision avoidance) and to the GCS.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_GLOBAL or MAV_FRAME_GLOBAL_RELATIVE_ALT (uint8_t)
latitude : WGS84 Latitude position in degrees * 1E7 (int32_t)
longitude : WGS84 Longitude position in degrees * 1E7 (int32_t)
altitude : WGS84 Altitude in meters * 1000 (positive for up) (int32_t)
yaw : Desired yaw angle in degrees * 100 (int16_t)
'''
return self.send(self.global_position_setpoint_int_encode(coordinate_frame, latitude, longitude, altitude, yaw))
def set_global_position_setpoint_int_encode(self, coordinate_frame, latitude, longitude, altitude, yaw):
'''
Set the current global position setpoint.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_GLOBAL or MAV_FRAME_GLOBAL_RELATIVE_ALT (uint8_t)
latitude : WGS84 Latitude position in degrees * 1E7 (int32_t)
longitude : WGS84 Longitude position in degrees * 1E7 (int32_t)
altitude : WGS84 Altitude in meters * 1000 (positive for up) (int32_t)
yaw : Desired yaw angle in degrees * 100 (int16_t)
'''
msg = MAVLink_set_global_position_setpoint_int_message(coordinate_frame, latitude, longitude, altitude, yaw)
msg.pack(self)
return msg
def set_global_position_setpoint_int_send(self, coordinate_frame, latitude, longitude, altitude, yaw):
'''
Set the current global position setpoint.
coordinate_frame : Coordinate frame - valid values are only MAV_FRAME_GLOBAL or MAV_FRAME_GLOBAL_RELATIVE_ALT (uint8_t)
latitude : WGS84 Latitude position in degrees * 1E7 (int32_t)
longitude : WGS84 Longitude position in degrees * 1E7 (int32_t)
altitude : WGS84 Altitude in meters * 1000 (positive for up) (int32_t)
yaw : Desired yaw angle in degrees * 100 (int16_t)
'''
return self.send(self.set_global_position_setpoint_int_encode(coordinate_frame, latitude, longitude, altitude, yaw))
def safety_set_allowed_area_encode(self, target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z):
'''
Set a safety zone (volume), which is defined by two corners of a cube.
This message can be used to tell the MAV which
setpoints/MISSIONs to accept and which to reject.
Safety areas are often enforced by national or
competition regulations.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
frame : Coordinate frame, as defined by MAV_FRAME enum in mavlink_types.h. Can be either global, GPS, right-handed with Z axis up or local, right handed, Z axis down. (uint8_t)
p1x : x position 1 / Latitude 1 (float)
p1y : y position 1 / Longitude 1 (float)
p1z : z position 1 / Altitude 1 (float)
p2x : x position 2 / Latitude 2 (float)
p2y : y position 2 / Longitude 2 (float)
p2z : z position 2 / Altitude 2 (float)
'''
msg = MAVLink_safety_set_allowed_area_message(target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z)
msg.pack(self)
return msg
def safety_set_allowed_area_send(self, target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z):
'''
Set a safety zone (volume), which is defined by two corners of a cube.
This message can be used to tell the MAV which
setpoints/MISSIONs to accept and which to reject.
Safety areas are often enforced by national or
competition regulations.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
frame : Coordinate frame, as defined by MAV_FRAME enum in mavlink_types.h. Can be either global, GPS, right-handed with Z axis up or local, right handed, Z axis down. (uint8_t)
p1x : x position 1 / Latitude 1 (float)
p1y : y position 1 / Longitude 1 (float)
p1z : z position 1 / Altitude 1 (float)
p2x : x position 2 / Latitude 2 (float)
p2y : y position 2 / Longitude 2 (float)
p2z : z position 2 / Altitude 2 (float)
'''
return self.send(self.safety_set_allowed_area_encode(target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z))
def safety_allowed_area_encode(self, frame, p1x, p1y, p1z, p2x, p2y, p2z):
'''
Read out the safety zone the MAV currently assumes.
frame : Coordinate frame, as defined by MAV_FRAME enum in mavlink_types.h. Can be either global, GPS, right-handed with Z axis up or local, right handed, Z axis down. (uint8_t)
p1x : x position 1 / Latitude 1 (float)
p1y : y position 1 / Longitude 1 (float)
p1z : z position 1 / Altitude 1 (float)
p2x : x position 2 / Latitude 2 (float)
p2y : y position 2 / Longitude 2 (float)
p2z : z position 2 / Altitude 2 (float)
'''
msg = MAVLink_safety_allowed_area_message(frame, p1x, p1y, p1z, p2x, p2y, p2z)
msg.pack(self)
return msg
def safety_allowed_area_send(self, frame, p1x, p1y, p1z, p2x, p2y, p2z):
'''
Read out the safety zone the MAV currently assumes.
frame : Coordinate frame, as defined by MAV_FRAME enum in mavlink_types.h. Can be either global, GPS, right-handed with Z axis up or local, right handed, Z axis down. (uint8_t)
p1x : x position 1 / Latitude 1 (float)
p1y : y position 1 / Longitude 1 (float)
p1z : z position 1 / Altitude 1 (float)
p2x : x position 2 / Latitude 2 (float)
p2y : y position 2 / Longitude 2 (float)
p2z : z position 2 / Altitude 2 (float)
'''
return self.send(self.safety_allowed_area_encode(frame, p1x, p1y, p1z, p2x, p2y, p2z))
def set_roll_pitch_yaw_thrust_encode(self, target_system, target_component, roll, pitch, yaw, thrust):
'''
Set roll, pitch and yaw.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
roll : Desired roll angle in radians (float)
pitch : Desired pitch angle in radians (float)
yaw : Desired yaw angle in radians (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
msg = MAVLink_set_roll_pitch_yaw_thrust_message(target_system, target_component, roll, pitch, yaw, thrust)
msg.pack(self)
return msg
def set_roll_pitch_yaw_thrust_send(self, target_system, target_component, roll, pitch, yaw, thrust):
'''
Set roll, pitch and yaw.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
roll : Desired roll angle in radians (float)
pitch : Desired pitch angle in radians (float)
yaw : Desired yaw angle in radians (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
return self.send(self.set_roll_pitch_yaw_thrust_encode(target_system, target_component, roll, pitch, yaw, thrust))
def set_roll_pitch_yaw_speed_thrust_encode(self, target_system, target_component, roll_speed, pitch_speed, yaw_speed, thrust):
'''
Set roll, pitch and yaw.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
roll_speed : Desired roll angular speed in rad/s (float)
pitch_speed : Desired pitch angular speed in rad/s (float)
yaw_speed : Desired yaw angular speed in rad/s (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
msg = MAVLink_set_roll_pitch_yaw_speed_thrust_message(target_system, target_component, roll_speed, pitch_speed, yaw_speed, thrust)
msg.pack(self)
return msg
def set_roll_pitch_yaw_speed_thrust_send(self, target_system, target_component, roll_speed, pitch_speed, yaw_speed, thrust):
'''
Set roll, pitch and yaw.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
roll_speed : Desired roll angular speed in rad/s (float)
pitch_speed : Desired pitch angular speed in rad/s (float)
yaw_speed : Desired yaw angular speed in rad/s (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
return self.send(self.set_roll_pitch_yaw_speed_thrust_encode(target_system, target_component, roll_speed, pitch_speed, yaw_speed, thrust))
def roll_pitch_yaw_thrust_setpoint_encode(self, time_boot_ms, roll, pitch, yaw, thrust):
'''
Setpoint in roll, pitch, yaw currently active on the system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll : Desired roll angle in radians (float)
pitch : Desired pitch angle in radians (float)
yaw : Desired yaw angle in radians (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
msg = MAVLink_roll_pitch_yaw_thrust_setpoint_message(time_boot_ms, roll, pitch, yaw, thrust)
msg.pack(self)
return msg
def roll_pitch_yaw_thrust_setpoint_send(self, time_boot_ms, roll, pitch, yaw, thrust):
'''
Setpoint in roll, pitch, yaw currently active on the system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll : Desired roll angle in radians (float)
pitch : Desired pitch angle in radians (float)
yaw : Desired yaw angle in radians (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
return self.send(self.roll_pitch_yaw_thrust_setpoint_encode(time_boot_ms, roll, pitch, yaw, thrust))
def roll_pitch_yaw_speed_thrust_setpoint_encode(self, time_boot_ms, roll_speed, pitch_speed, yaw_speed, thrust):
'''
Setpoint in rollspeed, pitchspeed, yawspeed currently active on the
system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll_speed : Desired roll angular speed in rad/s (float)
pitch_speed : Desired pitch angular speed in rad/s (float)
yaw_speed : Desired yaw angular speed in rad/s (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
msg = MAVLink_roll_pitch_yaw_speed_thrust_setpoint_message(time_boot_ms, roll_speed, pitch_speed, yaw_speed, thrust)
msg.pack(self)
return msg
def roll_pitch_yaw_speed_thrust_setpoint_send(self, time_boot_ms, roll_speed, pitch_speed, yaw_speed, thrust):
'''
Setpoint in rollspeed, pitchspeed, yawspeed currently active on the
system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll_speed : Desired roll angular speed in rad/s (float)
pitch_speed : Desired pitch angular speed in rad/s (float)
yaw_speed : Desired yaw angular speed in rad/s (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
return self.send(self.roll_pitch_yaw_speed_thrust_setpoint_encode(time_boot_ms, roll_speed, pitch_speed, yaw_speed, thrust))
def set_quad_motors_setpoint_encode(self, target_system, motor_front_nw, motor_right_ne, motor_back_se, motor_left_sw):
'''
Setpoint in the four motor speeds
target_system : System ID of the system that should set these motor commands (uint8_t)
motor_front_nw : Front motor in + configuration, front left motor in x configuration (uint16_t)
motor_right_ne : Right motor in + configuration, front right motor in x configuration (uint16_t)
motor_back_se : Back motor in + configuration, back right motor in x configuration (uint16_t)
motor_left_sw : Left motor in + configuration, back left motor in x configuration (uint16_t)
'''
msg = MAVLink_set_quad_motors_setpoint_message(target_system, motor_front_nw, motor_right_ne, motor_back_se, motor_left_sw)
msg.pack(self)
return msg
def set_quad_motors_setpoint_send(self, target_system, motor_front_nw, motor_right_ne, motor_back_se, motor_left_sw):
'''
Setpoint in the four motor speeds
target_system : System ID of the system that should set these motor commands (uint8_t)
motor_front_nw : Front motor in + configuration, front left motor in x configuration (uint16_t)
motor_right_ne : Right motor in + configuration, front right motor in x configuration (uint16_t)
motor_back_se : Back motor in + configuration, back right motor in x configuration (uint16_t)
motor_left_sw : Left motor in + configuration, back left motor in x configuration (uint16_t)
'''
return self.send(self.set_quad_motors_setpoint_encode(target_system, motor_front_nw, motor_right_ne, motor_back_se, motor_left_sw))
def set_quad_swarm_roll_pitch_yaw_thrust_encode(self, group, mode, roll, pitch, yaw, thrust):
'''
Setpoint for up to four quadrotors in a group / wing
group : ID of the quadrotor group (0 - 255, up to 256 groups supported) (uint8_t)
mode : ID of the flight mode (0 - 255, up to 256 modes supported) (uint8_t)
roll : Desired roll angle in radians +-PI (+-32767) (int16_t)
pitch : Desired pitch angle in radians +-PI (+-32767) (int16_t)
yaw : Desired yaw angle in radians, scaled to int16 +-PI (+-32767) (int16_t)
thrust : Collective thrust, scaled to uint16 (0..65535) (uint16_t)
'''
msg = MAVLink_set_quad_swarm_roll_pitch_yaw_thrust_message(group, mode, roll, pitch, yaw, thrust)
msg.pack(self)
return msg
def set_quad_swarm_roll_pitch_yaw_thrust_send(self, group, mode, roll, pitch, yaw, thrust):
'''
Setpoint for up to four quadrotors in a group / wing
group : ID of the quadrotor group (0 - 255, up to 256 groups supported) (uint8_t)
mode : ID of the flight mode (0 - 255, up to 256 modes supported) (uint8_t)
roll : Desired roll angle in radians +-PI (+-32767) (int16_t)
pitch : Desired pitch angle in radians +-PI (+-32767) (int16_t)
yaw : Desired yaw angle in radians, scaled to int16 +-PI (+-32767) (int16_t)
thrust : Collective thrust, scaled to uint16 (0..65535) (uint16_t)
'''
return self.send(self.set_quad_swarm_roll_pitch_yaw_thrust_encode(group, mode, roll, pitch, yaw, thrust))
def nav_controller_output_encode(self, nav_roll, nav_pitch, nav_bearing, target_bearing, wp_dist, alt_error, aspd_error, xtrack_error):
'''
Outputs of the APM navigation controller. The primary use of this
message is to check the response and signs of the
controller before actual flight and to assist with
tuning controller parameters.
nav_roll : Current desired roll in degrees (float)
nav_pitch : Current desired pitch in degrees (float)
nav_bearing : Current desired heading in degrees (int16_t)
target_bearing : Bearing to current MISSION/target in degrees (int16_t)
wp_dist : Distance to active MISSION in meters (uint16_t)
alt_error : Current altitude error in meters (float)
aspd_error : Current airspeed error in meters/second (float)
xtrack_error : Current crosstrack error on x-y plane in meters (float)
'''
msg = MAVLink_nav_controller_output_message(nav_roll, nav_pitch, nav_bearing, target_bearing, wp_dist, alt_error, aspd_error, xtrack_error)
msg.pack(self)
return msg
def nav_controller_output_send(self, nav_roll, nav_pitch, nav_bearing, target_bearing, wp_dist, alt_error, aspd_error, xtrack_error):
'''
Outputs of the APM navigation controller. The primary use of this
message is to check the response and signs of the
controller before actual flight and to assist with
tuning controller parameters.
nav_roll : Current desired roll in degrees (float)
nav_pitch : Current desired pitch in degrees (float)
nav_bearing : Current desired heading in degrees (int16_t)
target_bearing : Bearing to current MISSION/target in degrees (int16_t)
wp_dist : Distance to active MISSION in meters (uint16_t)
alt_error : Current altitude error in meters (float)
aspd_error : Current airspeed error in meters/second (float)
xtrack_error : Current crosstrack error on x-y plane in meters (float)
'''
return self.send(self.nav_controller_output_encode(nav_roll, nav_pitch, nav_bearing, target_bearing, wp_dist, alt_error, aspd_error, xtrack_error))
def set_quad_swarm_led_roll_pitch_yaw_thrust_encode(self, group, mode, led_red, led_blue, led_green, roll, pitch, yaw, thrust):
'''
Setpoint for up to four quadrotors in a group / wing
group : ID of the quadrotor group (0 - 255, up to 256 groups supported) (uint8_t)
mode : ID of the flight mode (0 - 255, up to 256 modes supported) (uint8_t)
led_red : RGB red channel (0-255) (uint8_t)
led_blue : RGB green channel (0-255) (uint8_t)
led_green : RGB blue channel (0-255) (uint8_t)
roll : Desired roll angle in radians +-PI (+-32767) (int16_t)
pitch : Desired pitch angle in radians +-PI (+-32767) (int16_t)
yaw : Desired yaw angle in radians, scaled to int16 +-PI (+-32767) (int16_t)
thrust : Collective thrust, scaled to uint16 (0..65535) (uint16_t)
'''
msg = MAVLink_set_quad_swarm_led_roll_pitch_yaw_thrust_message(group, mode, led_red, led_blue, led_green, roll, pitch, yaw, thrust)
msg.pack(self)
return msg
def set_quad_swarm_led_roll_pitch_yaw_thrust_send(self, group, mode, led_red, led_blue, led_green, roll, pitch, yaw, thrust):
'''
Setpoint for up to four quadrotors in a group / wing
group : ID of the quadrotor group (0 - 255, up to 256 groups supported) (uint8_t)
mode : ID of the flight mode (0 - 255, up to 256 modes supported) (uint8_t)
led_red : RGB red channel (0-255) (uint8_t)
led_blue : RGB green channel (0-255) (uint8_t)
led_green : RGB blue channel (0-255) (uint8_t)
roll : Desired roll angle in radians +-PI (+-32767) (int16_t)
pitch : Desired pitch angle in radians +-PI (+-32767) (int16_t)
yaw : Desired yaw angle in radians, scaled to int16 +-PI (+-32767) (int16_t)
thrust : Collective thrust, scaled to uint16 (0..65535) (uint16_t)
'''
return self.send(self.set_quad_swarm_led_roll_pitch_yaw_thrust_encode(group, mode, led_red, led_blue, led_green, roll, pitch, yaw, thrust))
def state_correction_encode(self, xErr, yErr, zErr, rollErr, pitchErr, yawErr, vxErr, vyErr, vzErr):
'''
Corrects the systems state by adding an error correction term to the
position and velocity, and by rotating the attitude by
a correction angle.
xErr : x position error (float)
yErr : y position error (float)
zErr : z position error (float)
rollErr : roll error (radians) (float)
pitchErr : pitch error (radians) (float)
yawErr : yaw error (radians) (float)
vxErr : x velocity (float)
vyErr : y velocity (float)
vzErr : z velocity (float)
'''
msg = MAVLink_state_correction_message(xErr, yErr, zErr, rollErr, pitchErr, yawErr, vxErr, vyErr, vzErr)
msg.pack(self)
return msg
def state_correction_send(self, xErr, yErr, zErr, rollErr, pitchErr, yawErr, vxErr, vyErr, vzErr):
'''
Corrects the systems state by adding an error correction term to the
position and velocity, and by rotating the attitude by
a correction angle.
xErr : x position error (float)
yErr : y position error (float)
zErr : z position error (float)
rollErr : roll error (radians) (float)
pitchErr : pitch error (radians) (float)
yawErr : yaw error (radians) (float)
vxErr : x velocity (float)
vyErr : y velocity (float)
vzErr : z velocity (float)
'''
return self.send(self.state_correction_encode(xErr, yErr, zErr, rollErr, pitchErr, yawErr, vxErr, vyErr, vzErr))
def request_data_stream_encode(self, target_system, target_component, req_stream_id, req_message_rate, start_stop):
'''
target_system : The target requested to send the message stream. (uint8_t)
target_component : The target requested to send the message stream. (uint8_t)
req_stream_id : The ID of the requested data stream (uint8_t)
req_message_rate : The requested interval between two messages of this type (uint16_t)
start_stop : 1 to start sending, 0 to stop sending. (uint8_t)
'''
msg = MAVLink_request_data_stream_message(target_system, target_component, req_stream_id, req_message_rate, start_stop)
msg.pack(self)
return msg
def request_data_stream_send(self, target_system, target_component, req_stream_id, req_message_rate, start_stop):
'''
target_system : The target requested to send the message stream. (uint8_t)
target_component : The target requested to send the message stream. (uint8_t)
req_stream_id : The ID of the requested data stream (uint8_t)
req_message_rate : The requested interval between two messages of this type (uint16_t)
start_stop : 1 to start sending, 0 to stop sending. (uint8_t)
'''
return self.send(self.request_data_stream_encode(target_system, target_component, req_stream_id, req_message_rate, start_stop))
def data_stream_encode(self, stream_id, message_rate, on_off):
'''
stream_id : The ID of the requested data stream (uint8_t)
message_rate : The requested interval between two messages of this type (uint16_t)
on_off : 1 stream is enabled, 0 stream is stopped. (uint8_t)
'''
msg = MAVLink_data_stream_message(stream_id, message_rate, on_off)
msg.pack(self)
return msg
def data_stream_send(self, stream_id, message_rate, on_off):
'''
stream_id : The ID of the requested data stream (uint8_t)
message_rate : The requested interval between two messages of this type (uint16_t)
on_off : 1 stream is enabled, 0 stream is stopped. (uint8_t)
'''
return self.send(self.data_stream_encode(stream_id, message_rate, on_off))
def manual_control_encode(self, target, x, y, z, r, buttons):
'''
This message provides an API for manually controlling the vehicle
using standard joystick axes nomenclature, along with
a joystick-like input device. Unused axes can be
disabled an buttons are also transmit as boolean
values of their
target : The system to be controlled. (uint8_t)
x : X-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to forward(1000)-backward(-1000) movement on a joystick and the pitch of a vehicle. (int16_t)
y : Y-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to left(-1000)-right(1000) movement on a joystick and the roll of a vehicle. (int16_t)
z : Z-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to a separate slider movement with maximum being 1000 and minimum being -1000 on a joystick and the thrust of a vehicle. (int16_t)
r : R-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to a twisting of the joystick, with counter-clockwise being 1000 and clockwise being -1000, and the yaw of a vehicle. (int16_t)
buttons : A bitfield corresponding to the joystick buttons' current state, 1 for pressed, 0 for released. The lowest bit corresponds to Button 1. (uint16_t)
'''
msg = MAVLink_manual_control_message(target, x, y, z, r, buttons)
msg.pack(self)
return msg
def manual_control_send(self, target, x, y, z, r, buttons):
'''
This message provides an API for manually controlling the vehicle
using standard joystick axes nomenclature, along with
a joystick-like input device. Unused axes can be
disabled an buttons are also transmit as boolean
values of their
target : The system to be controlled. (uint8_t)
x : X-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to forward(1000)-backward(-1000) movement on a joystick and the pitch of a vehicle. (int16_t)
y : Y-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to left(-1000)-right(1000) movement on a joystick and the roll of a vehicle. (int16_t)
z : Z-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to a separate slider movement with maximum being 1000 and minimum being -1000 on a joystick and the thrust of a vehicle. (int16_t)
r : R-axis, normalized to the range [-1000,1000]. A value of INT16_MAX indicates that this axis is invalid. Generally corresponds to a twisting of the joystick, with counter-clockwise being 1000 and clockwise being -1000, and the yaw of a vehicle. (int16_t)
buttons : A bitfield corresponding to the joystick buttons' current state, 1 for pressed, 0 for released. The lowest bit corresponds to Button 1. (uint16_t)
'''
return self.send(self.manual_control_encode(target, x, y, z, r, buttons))
def rc_channels_override_encode(self, target_system, target_component, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw):
'''
The RAW values of the RC channels sent to the MAV to override info
received from the RC radio. A value of -1 means no
change to that channel. A value of 0 means control of
that channel should be released back to the RC radio.
The standard PPM modulation is as follows: 1000
microseconds: 0%, 2000 microseconds: 100%. Individual
receivers/transmitters might violate this
specification.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
chan1_raw : RC channel 1 value, in microseconds (uint16_t)
chan2_raw : RC channel 2 value, in microseconds (uint16_t)
chan3_raw : RC channel 3 value, in microseconds (uint16_t)
chan4_raw : RC channel 4 value, in microseconds (uint16_t)
chan5_raw : RC channel 5 value, in microseconds (uint16_t)
chan6_raw : RC channel 6 value, in microseconds (uint16_t)
chan7_raw : RC channel 7 value, in microseconds (uint16_t)
chan8_raw : RC channel 8 value, in microseconds (uint16_t)
'''
msg = MAVLink_rc_channels_override_message(target_system, target_component, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw)
msg.pack(self)
return msg
def rc_channels_override_send(self, target_system, target_component, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw):
'''
The RAW values of the RC channels sent to the MAV to override info
received from the RC radio. A value of -1 means no
change to that channel. A value of 0 means control of
that channel should be released back to the RC radio.
The standard PPM modulation is as follows: 1000
microseconds: 0%, 2000 microseconds: 100%. Individual
receivers/transmitters might violate this
specification.
target_system : System ID (uint8_t)
target_component : Component ID (uint8_t)
chan1_raw : RC channel 1 value, in microseconds (uint16_t)
chan2_raw : RC channel 2 value, in microseconds (uint16_t)
chan3_raw : RC channel 3 value, in microseconds (uint16_t)
chan4_raw : RC channel 4 value, in microseconds (uint16_t)
chan5_raw : RC channel 5 value, in microseconds (uint16_t)
chan6_raw : RC channel 6 value, in microseconds (uint16_t)
chan7_raw : RC channel 7 value, in microseconds (uint16_t)
chan8_raw : RC channel 8 value, in microseconds (uint16_t)
'''
return self.send(self.rc_channels_override_encode(target_system, target_component, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw))
def vfr_hud_encode(self, airspeed, groundspeed, heading, throttle, alt, climb):
'''
Metrics typically displayed on a HUD for fixed wing aircraft
airspeed : Current airspeed in m/s (float)
groundspeed : Current ground speed in m/s (float)
heading : Current heading in degrees, in compass units (0..360, 0=north) (int16_t)
throttle : Current throttle setting in integer percent, 0 to 100 (uint16_t)
alt : Current altitude (MSL), in meters (float)
climb : Current climb rate in meters/second (float)
'''
msg = MAVLink_vfr_hud_message(airspeed, groundspeed, heading, throttle, alt, climb)
msg.pack(self)
return msg
def vfr_hud_send(self, airspeed, groundspeed, heading, throttle, alt, climb):
'''
Metrics typically displayed on a HUD for fixed wing aircraft
airspeed : Current airspeed in m/s (float)
groundspeed : Current ground speed in m/s (float)
heading : Current heading in degrees, in compass units (0..360, 0=north) (int16_t)
throttle : Current throttle setting in integer percent, 0 to 100 (uint16_t)
alt : Current altitude (MSL), in meters (float)
climb : Current climb rate in meters/second (float)
'''
return self.send(self.vfr_hud_encode(airspeed, groundspeed, heading, throttle, alt, climb))
def command_long_encode(self, target_system, target_component, command, confirmation, param1, param2, param3, param4, param5, param6, param7):
'''
Send a command with up to four parameters to the MAV
target_system : System which should execute the command (uint8_t)
target_component : Component which should execute the command, 0 for all components (uint8_t)
command : Command ID, as defined by MAV_CMD enum. (uint16_t)
confirmation : 0: First transmission of this command. 1-255: Confirmation transmissions (e.g. for kill command) (uint8_t)
param1 : Parameter 1, as defined by MAV_CMD enum. (float)
param2 : Parameter 2, as defined by MAV_CMD enum. (float)
param3 : Parameter 3, as defined by MAV_CMD enum. (float)
param4 : Parameter 4, as defined by MAV_CMD enum. (float)
param5 : Parameter 5, as defined by MAV_CMD enum. (float)
param6 : Parameter 6, as defined by MAV_CMD enum. (float)
param7 : Parameter 7, as defined by MAV_CMD enum. (float)
'''
msg = MAVLink_command_long_message(target_system, target_component, command, confirmation, param1, param2, param3, param4, param5, param6, param7)
msg.pack(self)
return msg
def command_long_send(self, target_system, target_component, command, confirmation, param1, param2, param3, param4, param5, param6, param7):
'''
Send a command with up to four parameters to the MAV
target_system : System which should execute the command (uint8_t)
target_component : Component which should execute the command, 0 for all components (uint8_t)
command : Command ID, as defined by MAV_CMD enum. (uint16_t)
confirmation : 0: First transmission of this command. 1-255: Confirmation transmissions (e.g. for kill command) (uint8_t)
param1 : Parameter 1, as defined by MAV_CMD enum. (float)
param2 : Parameter 2, as defined by MAV_CMD enum. (float)
param3 : Parameter 3, as defined by MAV_CMD enum. (float)
param4 : Parameter 4, as defined by MAV_CMD enum. (float)
param5 : Parameter 5, as defined by MAV_CMD enum. (float)
param6 : Parameter 6, as defined by MAV_CMD enum. (float)
param7 : Parameter 7, as defined by MAV_CMD enum. (float)
'''
return self.send(self.command_long_encode(target_system, target_component, command, confirmation, param1, param2, param3, param4, param5, param6, param7))
def command_ack_encode(self, command, result):
'''
Report status of a command. Includes feedback wether the command was
executed.
command : Command ID, as defined by MAV_CMD enum. (uint16_t)
result : See MAV_RESULT enum (uint8_t)
'''
msg = MAVLink_command_ack_message(command, result)
msg.pack(self)
return msg
def command_ack_send(self, command, result):
'''
Report status of a command. Includes feedback wether the command was
executed.
command : Command ID, as defined by MAV_CMD enum. (uint16_t)
result : See MAV_RESULT enum (uint8_t)
'''
return self.send(self.command_ack_encode(command, result))
def roll_pitch_yaw_rates_thrust_setpoint_encode(self, time_boot_ms, roll_rate, pitch_rate, yaw_rate, thrust):
'''
Setpoint in roll, pitch, yaw rates and thrust currently active on the
system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll_rate : Desired roll rate in radians per second (float)
pitch_rate : Desired pitch rate in radians per second (float)
yaw_rate : Desired yaw rate in radians per second (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
msg = MAVLink_roll_pitch_yaw_rates_thrust_setpoint_message(time_boot_ms, roll_rate, pitch_rate, yaw_rate, thrust)
msg.pack(self)
return msg
def roll_pitch_yaw_rates_thrust_setpoint_send(self, time_boot_ms, roll_rate, pitch_rate, yaw_rate, thrust):
'''
Setpoint in roll, pitch, yaw rates and thrust currently active on the
system.
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll_rate : Desired roll rate in radians per second (float)
pitch_rate : Desired pitch rate in radians per second (float)
yaw_rate : Desired yaw rate in radians per second (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
'''
return self.send(self.roll_pitch_yaw_rates_thrust_setpoint_encode(time_boot_ms, roll_rate, pitch_rate, yaw_rate, thrust))
def manual_setpoint_encode(self, time_boot_ms, roll, pitch, yaw, thrust, mode_switch, manual_override_switch):
'''
Setpoint in roll, pitch, yaw and thrust from the operator
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll : Desired roll rate in radians per second (float)
pitch : Desired pitch rate in radians per second (float)
yaw : Desired yaw rate in radians per second (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
mode_switch : Flight mode switch position, 0.. 255 (uint8_t)
manual_override_switch : Override mode switch position, 0.. 255 (uint8_t)
'''
msg = MAVLink_manual_setpoint_message(time_boot_ms, roll, pitch, yaw, thrust, mode_switch, manual_override_switch)
msg.pack(self)
return msg
def manual_setpoint_send(self, time_boot_ms, roll, pitch, yaw, thrust, mode_switch, manual_override_switch):
'''
Setpoint in roll, pitch, yaw and thrust from the operator
time_boot_ms : Timestamp in milliseconds since system boot (uint32_t)
roll : Desired roll rate in radians per second (float)
pitch : Desired pitch rate in radians per second (float)
yaw : Desired yaw rate in radians per second (float)
thrust : Collective thrust, normalized to 0 .. 1 (float)
mode_switch : Flight mode switch position, 0.. 255 (uint8_t)
manual_override_switch : Override mode switch position, 0.. 255 (uint8_t)
'''
return self.send(self.manual_setpoint_encode(time_boot_ms, roll, pitch, yaw, thrust, mode_switch, manual_override_switch))
def local_position_ned_system_global_offset_encode(self, time_boot_ms, x, y, z, roll, pitch, yaw):
'''
The offset in X, Y, Z and yaw between the LOCAL_POSITION_NED messages
of MAV X and the global coordinate frame in NED
coordinates. Coordinate frame is right-handed, Z-axis
down (aeronautical frame, NED / north-east-down
convention)
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
x : X Position (float)
y : Y Position (float)
z : Z Position (float)
roll : Roll (float)
pitch : Pitch (float)
yaw : Yaw (float)
'''
msg = MAVLink_local_position_ned_system_global_offset_message(time_boot_ms, x, y, z, roll, pitch, yaw)
msg.pack(self)
return msg
def local_position_ned_system_global_offset_send(self, time_boot_ms, x, y, z, roll, pitch, yaw):
'''
The offset in X, Y, Z and yaw between the LOCAL_POSITION_NED messages
of MAV X and the global coordinate frame in NED
coordinates. Coordinate frame is right-handed, Z-axis
down (aeronautical frame, NED / north-east-down
convention)
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
x : X Position (float)
y : Y Position (float)
z : Z Position (float)
roll : Roll (float)
pitch : Pitch (float)
yaw : Yaw (float)
'''
return self.send(self.local_position_ned_system_global_offset_encode(time_boot_ms, x, y, z, roll, pitch, yaw))
def hil_state_encode(self, time_usec, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed, lat, lon, alt, vx, vy, vz, xacc, yacc, zacc):
'''
Sent from simulation to autopilot. This packet is useful for high
throughput applications such as hardware in the loop
simulations.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
roll : Roll angle (rad) (float)
pitch : Pitch angle (rad) (float)
yaw : Yaw angle (rad) (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
lat : Latitude, expressed as * 1E7 (int32_t)
lon : Longitude, expressed as * 1E7 (int32_t)
alt : Altitude in meters, expressed as * 1000 (millimeters) (int32_t)
vx : Ground X Speed (Latitude), expressed as m/s * 100 (int16_t)
vy : Ground Y Speed (Longitude), expressed as m/s * 100 (int16_t)
vz : Ground Z Speed (Altitude), expressed as m/s * 100 (int16_t)
xacc : X acceleration (mg) (int16_t)
yacc : Y acceleration (mg) (int16_t)
zacc : Z acceleration (mg) (int16_t)
'''
msg = MAVLink_hil_state_message(time_usec, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed, lat, lon, alt, vx, vy, vz, xacc, yacc, zacc)
msg.pack(self)
return msg
def hil_state_send(self, time_usec, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed, lat, lon, alt, vx, vy, vz, xacc, yacc, zacc):
'''
Sent from simulation to autopilot. This packet is useful for high
throughput applications such as hardware in the loop
simulations.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
roll : Roll angle (rad) (float)
pitch : Pitch angle (rad) (float)
yaw : Yaw angle (rad) (float)
rollspeed : Roll angular speed (rad/s) (float)
pitchspeed : Pitch angular speed (rad/s) (float)
yawspeed : Yaw angular speed (rad/s) (float)
lat : Latitude, expressed as * 1E7 (int32_t)
lon : Longitude, expressed as * 1E7 (int32_t)
alt : Altitude in meters, expressed as * 1000 (millimeters) (int32_t)
vx : Ground X Speed (Latitude), expressed as m/s * 100 (int16_t)
vy : Ground Y Speed (Longitude), expressed as m/s * 100 (int16_t)
vz : Ground Z Speed (Altitude), expressed as m/s * 100 (int16_t)
xacc : X acceleration (mg) (int16_t)
yacc : Y acceleration (mg) (int16_t)
zacc : Z acceleration (mg) (int16_t)
'''
return self.send(self.hil_state_encode(time_usec, roll, pitch, yaw, rollspeed, pitchspeed, yawspeed, lat, lon, alt, vx, vy, vz, xacc, yacc, zacc))
def hil_controls_encode(self, time_usec, roll_ailerons, pitch_elevator, yaw_rudder, throttle, aux1, aux2, aux3, aux4, mode, nav_mode):
'''
Sent from autopilot to simulation. Hardware in the loop control
outputs
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
roll_ailerons : Control output -1 .. 1 (float)
pitch_elevator : Control output -1 .. 1 (float)
yaw_rudder : Control output -1 .. 1 (float)
throttle : Throttle 0 .. 1 (float)
aux1 : Aux 1, -1 .. 1 (float)
aux2 : Aux 2, -1 .. 1 (float)
aux3 : Aux 3, -1 .. 1 (float)
aux4 : Aux 4, -1 .. 1 (float)
mode : System mode (MAV_MODE) (uint8_t)
nav_mode : Navigation mode (MAV_NAV_MODE) (uint8_t)
'''
msg = MAVLink_hil_controls_message(time_usec, roll_ailerons, pitch_elevator, yaw_rudder, throttle, aux1, aux2, aux3, aux4, mode, nav_mode)
msg.pack(self)
return msg
def hil_controls_send(self, time_usec, roll_ailerons, pitch_elevator, yaw_rudder, throttle, aux1, aux2, aux3, aux4, mode, nav_mode):
'''
Sent from autopilot to simulation. Hardware in the loop control
outputs
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
roll_ailerons : Control output -1 .. 1 (float)
pitch_elevator : Control output -1 .. 1 (float)
yaw_rudder : Control output -1 .. 1 (float)
throttle : Throttle 0 .. 1 (float)
aux1 : Aux 1, -1 .. 1 (float)
aux2 : Aux 2, -1 .. 1 (float)
aux3 : Aux 3, -1 .. 1 (float)
aux4 : Aux 4, -1 .. 1 (float)
mode : System mode (MAV_MODE) (uint8_t)
nav_mode : Navigation mode (MAV_NAV_MODE) (uint8_t)
'''
return self.send(self.hil_controls_encode(time_usec, roll_ailerons, pitch_elevator, yaw_rudder, throttle, aux1, aux2, aux3, aux4, mode, nav_mode))
def hil_rc_inputs_raw_encode(self, time_usec, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, chan9_raw, chan10_raw, chan11_raw, chan12_raw, rssi):
'''
Sent from simulation to autopilot. The RAW values of the RC channels
received. The standard PPM modulation is as follows:
1000 microseconds: 0%, 2000 microseconds: 100%.
Individual receivers/transmitters might violate this
specification.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
chan1_raw : RC channel 1 value, in microseconds (uint16_t)
chan2_raw : RC channel 2 value, in microseconds (uint16_t)
chan3_raw : RC channel 3 value, in microseconds (uint16_t)
chan4_raw : RC channel 4 value, in microseconds (uint16_t)
chan5_raw : RC channel 5 value, in microseconds (uint16_t)
chan6_raw : RC channel 6 value, in microseconds (uint16_t)
chan7_raw : RC channel 7 value, in microseconds (uint16_t)
chan8_raw : RC channel 8 value, in microseconds (uint16_t)
chan9_raw : RC channel 9 value, in microseconds (uint16_t)
chan10_raw : RC channel 10 value, in microseconds (uint16_t)
chan11_raw : RC channel 11 value, in microseconds (uint16_t)
chan12_raw : RC channel 12 value, in microseconds (uint16_t)
rssi : Receive signal strength indicator, 0: 0%, 255: 100% (uint8_t)
'''
msg = MAVLink_hil_rc_inputs_raw_message(time_usec, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, chan9_raw, chan10_raw, chan11_raw, chan12_raw, rssi)
msg.pack(self)
return msg
def hil_rc_inputs_raw_send(self, time_usec, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, chan9_raw, chan10_raw, chan11_raw, chan12_raw, rssi):
'''
Sent from simulation to autopilot. The RAW values of the RC channels
received. The standard PPM modulation is as follows:
1000 microseconds: 0%, 2000 microseconds: 100%.
Individual receivers/transmitters might violate this
specification.
time_usec : Timestamp (microseconds since UNIX epoch or microseconds since system boot) (uint64_t)
chan1_raw : RC channel 1 value, in microseconds (uint16_t)
chan2_raw : RC channel 2 value, in microseconds (uint16_t)
chan3_raw : RC channel 3 value, in microseconds (uint16_t)
chan4_raw : RC channel 4 value, in microseconds (uint16_t)
chan5_raw : RC channel 5 value, in microseconds (uint16_t)
chan6_raw : RC channel 6 value, in microseconds (uint16_t)
chan7_raw : RC channel 7 value, in microseconds (uint16_t)
chan8_raw : RC channel 8 value, in microseconds (uint16_t)
chan9_raw : RC channel 9 value, in microseconds (uint16_t)
chan10_raw : RC channel 10 value, in microseconds (uint16_t)
chan11_raw : RC channel 11 value, in microseconds (uint16_t)
chan12_raw : RC channel 12 value, in microseconds (uint16_t)
rssi : Receive signal strength indicator, 0: 0%, 255: 100% (uint8_t)
'''
return self.send(self.hil_rc_inputs_raw_encode(time_usec, chan1_raw, chan2_raw, chan3_raw, chan4_raw, chan5_raw, chan6_raw, chan7_raw, chan8_raw, chan9_raw, chan10_raw, chan11_raw, chan12_raw, rssi))
def optical_flow_encode(self, time_usec, sensor_id, flow_x, flow_y, flow_comp_m_x, flow_comp_m_y, quality, ground_distance):
'''
Optical flow from a flow sensor (e.g. optical mouse sensor)
time_usec : Timestamp (UNIX) (uint64_t)
sensor_id : Sensor ID (uint8_t)
flow_x : Flow in pixels in x-sensor direction (int16_t)
flow_y : Flow in pixels in y-sensor direction (int16_t)
flow_comp_m_x : Flow in meters in x-sensor direction, angular-speed compensated (float)
flow_comp_m_y : Flow in meters in y-sensor direction, angular-speed compensated (float)
quality : Optical flow quality / confidence. 0: bad, 255: maximum quality (uint8_t)
ground_distance : Ground distance in meters. Positive value: distance known. Negative value: Unknown distance (float)
'''
msg = MAVLink_optical_flow_message(time_usec, sensor_id, flow_x, flow_y, flow_comp_m_x, flow_comp_m_y, quality, ground_distance)
msg.pack(self)
return msg
def optical_flow_send(self, time_usec, sensor_id, flow_x, flow_y, flow_comp_m_x, flow_comp_m_y, quality, ground_distance):
'''
Optical flow from a flow sensor (e.g. optical mouse sensor)
time_usec : Timestamp (UNIX) (uint64_t)
sensor_id : Sensor ID (uint8_t)
flow_x : Flow in pixels in x-sensor direction (int16_t)
flow_y : Flow in pixels in y-sensor direction (int16_t)
flow_comp_m_x : Flow in meters in x-sensor direction, angular-speed compensated (float)
flow_comp_m_y : Flow in meters in y-sensor direction, angular-speed compensated (float)
quality : Optical flow quality / confidence. 0: bad, 255: maximum quality (uint8_t)
ground_distance : Ground distance in meters. Positive value: distance known. Negative value: Unknown distance (float)
'''
return self.send(self.optical_flow_encode(time_usec, sensor_id, flow_x, flow_y, flow_comp_m_x, flow_comp_m_y, quality, ground_distance))
def global_vision_position_estimate_encode(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
msg = MAVLink_global_vision_position_estimate_message(usec, x, y, z, roll, pitch, yaw)
msg.pack(self)
return msg
def global_vision_position_estimate_send(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
return self.send(self.global_vision_position_estimate_encode(usec, x, y, z, roll, pitch, yaw))
def vision_position_estimate_encode(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
msg = MAVLink_vision_position_estimate_message(usec, x, y, z, roll, pitch, yaw)
msg.pack(self)
return msg
def vision_position_estimate_send(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
return self.send(self.vision_position_estimate_encode(usec, x, y, z, roll, pitch, yaw))
def vision_speed_estimate_encode(self, usec, x, y, z):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X speed (float)
y : Global Y speed (float)
z : Global Z speed (float)
'''
msg = MAVLink_vision_speed_estimate_message(usec, x, y, z)
msg.pack(self)
return msg
def vision_speed_estimate_send(self, usec, x, y, z):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X speed (float)
y : Global Y speed (float)
z : Global Z speed (float)
'''
return self.send(self.vision_speed_estimate_encode(usec, x, y, z))
def vicon_position_estimate_encode(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
msg = MAVLink_vicon_position_estimate_message(usec, x, y, z, roll, pitch, yaw)
msg.pack(self)
return msg
def vicon_position_estimate_send(self, usec, x, y, z, roll, pitch, yaw):
'''
usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
x : Global X position (float)
y : Global Y position (float)
z : Global Z position (float)
roll : Roll angle in rad (float)
pitch : Pitch angle in rad (float)
yaw : Yaw angle in rad (float)
'''
return self.send(self.vicon_position_estimate_encode(usec, x, y, z, roll, pitch, yaw))
def highres_imu_encode(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag, abs_pressure, diff_pressure, pressure_alt, temperature, fields_updated):
'''
The IMU readings in SI units in NED body frame
time_usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
xacc : X acceleration (m/s^2) (float)
yacc : Y acceleration (m/s^2) (float)
zacc : Z acceleration (m/s^2) (float)
xgyro : Angular speed around X axis (rad / sec) (float)
ygyro : Angular speed around Y axis (rad / sec) (float)
zgyro : Angular speed around Z axis (rad / sec) (float)
xmag : X Magnetic field (Gauss) (float)
ymag : Y Magnetic field (Gauss) (float)
zmag : Z Magnetic field (Gauss) (float)
abs_pressure : Absolute pressure in millibar (float)
diff_pressure : Differential pressure in millibar (float)
pressure_alt : Altitude calculated from pressure (float)
temperature : Temperature in degrees celsius (float)
fields_updated : Bitmask for fields that have updated since last message, bit 0 = xacc, bit 12: temperature (uint16_t)
'''
msg = MAVLink_highres_imu_message(time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag, abs_pressure, diff_pressure, pressure_alt, temperature, fields_updated)
msg.pack(self)
return msg
def highres_imu_send(self, time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag, abs_pressure, diff_pressure, pressure_alt, temperature, fields_updated):
'''
The IMU readings in SI units in NED body frame
time_usec : Timestamp (microseconds, synced to UNIX time or since system boot) (uint64_t)
xacc : X acceleration (m/s^2) (float)
yacc : Y acceleration (m/s^2) (float)
zacc : Z acceleration (m/s^2) (float)
xgyro : Angular speed around X axis (rad / sec) (float)
ygyro : Angular speed around Y axis (rad / sec) (float)
zgyro : Angular speed around Z axis (rad / sec) (float)
xmag : X Magnetic field (Gauss) (float)
ymag : Y Magnetic field (Gauss) (float)
zmag : Z Magnetic field (Gauss) (float)
abs_pressure : Absolute pressure in millibar (float)
diff_pressure : Differential pressure in millibar (float)
pressure_alt : Altitude calculated from pressure (float)
temperature : Temperature in degrees celsius (float)
fields_updated : Bitmask for fields that have updated since last message, bit 0 = xacc, bit 12: temperature (uint16_t)
'''
return self.send(self.highres_imu_encode(time_usec, xacc, yacc, zacc, xgyro, ygyro, zgyro, xmag, ymag, zmag, abs_pressure, diff_pressure, pressure_alt, temperature, fields_updated))
def file_transfer_start_encode(self, transfer_uid, dest_path, direction, file_size, flags):
'''
Begin file transfer
transfer_uid : Unique transfer ID (uint64_t)
dest_path : Destination path (char)
direction : Transfer direction: 0: from requester, 1: to requester (uint8_t)
file_size : File size in bytes (uint32_t)
flags : RESERVED (uint8_t)
'''
msg = MAVLink_file_transfer_start_message(transfer_uid, dest_path, direction, file_size, flags)
msg.pack(self)
return msg
def file_transfer_start_send(self, transfer_uid, dest_path, direction, file_size, flags):
'''
Begin file transfer
transfer_uid : Unique transfer ID (uint64_t)
dest_path : Destination path (char)
direction : Transfer direction: 0: from requester, 1: to requester (uint8_t)
file_size : File size in bytes (uint32_t)
flags : RESERVED (uint8_t)
'''
return self.send(self.file_transfer_start_encode(transfer_uid, dest_path, direction, file_size, flags))
def file_transfer_dir_list_encode(self, transfer_uid, dir_path, flags):
'''
Get directory listing
transfer_uid : Unique transfer ID (uint64_t)
dir_path : Directory path to list (char)
flags : RESERVED (uint8_t)
'''
msg = MAVLink_file_transfer_dir_list_message(transfer_uid, dir_path, flags)
msg.pack(self)
return msg
def file_transfer_dir_list_send(self, transfer_uid, dir_path, flags):
'''
Get directory listing
transfer_uid : Unique transfer ID (uint64_t)
dir_path : Directory path to list (char)
flags : RESERVED (uint8_t)
'''
return self.send(self.file_transfer_dir_list_encode(transfer_uid, dir_path, flags))
def file_transfer_res_encode(self, transfer_uid, result):
'''
File transfer result
transfer_uid : Unique transfer ID (uint64_t)
result : 0: OK, 1: not permitted, 2: bad path / file name, 3: no space left on device (uint8_t)
'''
msg = MAVLink_file_transfer_res_message(transfer_uid, result)
msg.pack(self)
return msg
def file_transfer_res_send(self, transfer_uid, result):
'''
File transfer result
transfer_uid : Unique transfer ID (uint64_t)
result : 0: OK, 1: not permitted, 2: bad path / file name, 3: no space left on device (uint8_t)
'''
return self.send(self.file_transfer_res_encode(transfer_uid, result))
def battery_status_encode(self, accu_id, voltage_cell_1, voltage_cell_2, voltage_cell_3, voltage_cell_4, voltage_cell_5, voltage_cell_6, current_battery, battery_remaining):
'''
Transmitte battery informations for a accu pack.
accu_id : Accupack ID (uint8_t)
voltage_cell_1 : Battery voltage of cell 1, in millivolts (1 = 1 millivolt) (uint16_t)
voltage_cell_2 : Battery voltage of cell 2, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_3 : Battery voltage of cell 3, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_4 : Battery voltage of cell 4, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_5 : Battery voltage of cell 5, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_6 : Battery voltage of cell 6, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
current_battery : Battery current, in 10*milliamperes (1 = 10 milliampere), -1: autopilot does not measure the current (int16_t)
battery_remaining : Remaining battery energy: (0%: 0, 100%: 100), -1: autopilot does not estimate the remaining battery (int8_t)
'''
msg = MAVLink_battery_status_message(accu_id, voltage_cell_1, voltage_cell_2, voltage_cell_3, voltage_cell_4, voltage_cell_5, voltage_cell_6, current_battery, battery_remaining)
msg.pack(self)
return msg
def battery_status_send(self, accu_id, voltage_cell_1, voltage_cell_2, voltage_cell_3, voltage_cell_4, voltage_cell_5, voltage_cell_6, current_battery, battery_remaining):
'''
Transmitte battery informations for a accu pack.
accu_id : Accupack ID (uint8_t)
voltage_cell_1 : Battery voltage of cell 1, in millivolts (1 = 1 millivolt) (uint16_t)
voltage_cell_2 : Battery voltage of cell 2, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_3 : Battery voltage of cell 3, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_4 : Battery voltage of cell 4, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_5 : Battery voltage of cell 5, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
voltage_cell_6 : Battery voltage of cell 6, in millivolts (1 = 1 millivolt), -1: no cell (uint16_t)
current_battery : Battery current, in 10*milliamperes (1 = 10 milliampere), -1: autopilot does not measure the current (int16_t)
battery_remaining : Remaining battery energy: (0%: 0, 100%: 100), -1: autopilot does not estimate the remaining battery (int8_t)
'''
return self.send(self.battery_status_encode(accu_id, voltage_cell_1, voltage_cell_2, voltage_cell_3, voltage_cell_4, voltage_cell_5, voltage_cell_6, current_battery, battery_remaining))
def setpoint_8dof_encode(self, target_system, val1, val2, val3, val4, val5, val6, val7, val8):
'''
Set the 8 DOF setpoint for a controller.
target_system : System ID (uint8_t)
val1 : Value 1 (float)
val2 : Value 2 (float)
val3 : Value 3 (float)
val4 : Value 4 (float)
val5 : Value 5 (float)
val6 : Value 6 (float)
val7 : Value 7 (float)
val8 : Value 8 (float)
'''
msg = MAVLink_setpoint_8dof_message(target_system, val1, val2, val3, val4, val5, val6, val7, val8)
msg.pack(self)
return msg
def setpoint_8dof_send(self, target_system, val1, val2, val3, val4, val5, val6, val7, val8):
'''
Set the 8 DOF setpoint for a controller.
target_system : System ID (uint8_t)
val1 : Value 1 (float)
val2 : Value 2 (float)
val3 : Value 3 (float)
val4 : Value 4 (float)
val5 : Value 5 (float)
val6 : Value 6 (float)
val7 : Value 7 (float)
val8 : Value 8 (float)
'''
return self.send(self.setpoint_8dof_encode(target_system, val1, val2, val3, val4, val5, val6, val7, val8))
def setpoint_6dof_encode(self, target_system, trans_x, trans_y, trans_z, rot_x, rot_y, rot_z):
'''
Set the 6 DOF setpoint for a attitude and position controller.
target_system : System ID (uint8_t)
trans_x : Translational Component in x (float)
trans_y : Translational Component in y (float)
trans_z : Translational Component in z (float)
rot_x : Rotational Component in x (float)
rot_y : Rotational Component in y (float)
rot_z : Rotational Component in z (float)
'''
msg = MAVLink_setpoint_6dof_message(target_system, trans_x, trans_y, trans_z, rot_x, rot_y, rot_z)
msg.pack(self)
return msg
def setpoint_6dof_send(self, target_system, trans_x, trans_y, trans_z, rot_x, rot_y, rot_z):
'''
Set the 6 DOF setpoint for a attitude and position controller.
target_system : System ID (uint8_t)
trans_x : Translational Component in x (float)
trans_y : Translational Component in y (float)
trans_z : Translational Component in z (float)
rot_x : Rotational Component in x (float)
rot_y : Rotational Component in y (float)
rot_z : Rotational Component in z (float)
'''
return self.send(self.setpoint_6dof_encode(target_system, trans_x, trans_y, trans_z, rot_x, rot_y, rot_z))
def memory_vect_encode(self, address, ver, type, value):
'''
Send raw controller memory. The use of this message is discouraged for
normal packets, but a quite efficient way for testing
new messages and getting experimental debug output.
address : Starting address of the debug variables (uint16_t)
ver : Version code of the type variable. 0=unknown, type ignored and assumed int16_t. 1=as below (uint8_t)
type : Type code of the memory variables. for ver = 1: 0=16 x int16_t, 1=16 x uint16_t, 2=16 x Q15, 3=16 x 1Q14 (uint8_t)
value : Memory contents at specified address (int8_t)
'''
msg = MAVLink_memory_vect_message(address, ver, type, value)
msg.pack(self)
return msg
def memory_vect_send(self, address, ver, type, value):
'''
Send raw controller memory. The use of this message is discouraged for
normal packets, but a quite efficient way for testing
new messages and getting experimental debug output.
address : Starting address of the debug variables (uint16_t)
ver : Version code of the type variable. 0=unknown, type ignored and assumed int16_t. 1=as below (uint8_t)
type : Type code of the memory variables. for ver = 1: 0=16 x int16_t, 1=16 x uint16_t, 2=16 x Q15, 3=16 x 1Q14 (uint8_t)
value : Memory contents at specified address (int8_t)
'''
return self.send(self.memory_vect_encode(address, ver, type, value))
def debug_vect_encode(self, name, time_usec, x, y, z):
'''
name : Name (char)
time_usec : Timestamp (uint64_t)
x : x (float)
y : y (float)
z : z (float)
'''
msg = MAVLink_debug_vect_message(name, time_usec, x, y, z)
msg.pack(self)
return msg
def debug_vect_send(self, name, time_usec, x, y, z):
'''
name : Name (char)
time_usec : Timestamp (uint64_t)
x : x (float)
y : y (float)
z : z (float)
'''
return self.send(self.debug_vect_encode(name, time_usec, x, y, z))
def named_value_float_encode(self, time_boot_ms, name, value):
'''
Send a key-value pair as float. The use of this message is discouraged
for normal packets, but a quite efficient way for
testing new messages and getting experimental debug
output.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
name : Name of the debug variable (char)
value : Floating point value (float)
'''
msg = MAVLink_named_value_float_message(time_boot_ms, name, value)
msg.pack(self)
return msg
def named_value_float_send(self, time_boot_ms, name, value):
'''
Send a key-value pair as float. The use of this message is discouraged
for normal packets, but a quite efficient way for
testing new messages and getting experimental debug
output.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
name : Name of the debug variable (char)
value : Floating point value (float)
'''
return self.send(self.named_value_float_encode(time_boot_ms, name, value))
def named_value_int_encode(self, time_boot_ms, name, value):
'''
Send a key-value pair as integer. The use of this message is
discouraged for normal packets, but a quite efficient
way for testing new messages and getting experimental
debug output.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
name : Name of the debug variable (char)
value : Signed integer value (int32_t)
'''
msg = MAVLink_named_value_int_message(time_boot_ms, name, value)
msg.pack(self)
return msg
def named_value_int_send(self, time_boot_ms, name, value):
'''
Send a key-value pair as integer. The use of this message is
discouraged for normal packets, but a quite efficient
way for testing new messages and getting experimental
debug output.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
name : Name of the debug variable (char)
value : Signed integer value (int32_t)
'''
return self.send(self.named_value_int_encode(time_boot_ms, name, value))
def statustext_encode(self, severity, text):
'''
Status text message. These messages are printed in yellow in the COMM
console of QGroundControl. WARNING: They consume quite
some bandwidth, so use only for important status and
error messages. If implemented wisely, these messages
are buffered on the MCU and sent only at a limited
rate (e.g. 10 Hz).
severity : Severity of status. Relies on the definitions within RFC-5424. See enum MAV_SEVERITY. (uint8_t)
text : Status text message, without null termination character (char)
'''
msg = MAVLink_statustext_message(severity, text)
msg.pack(self)
return msg
def statustext_send(self, severity, text):
'''
Status text message. These messages are printed in yellow in the COMM
console of QGroundControl. WARNING: They consume quite
some bandwidth, so use only for important status and
error messages. If implemented wisely, these messages
are buffered on the MCU and sent only at a limited
rate (e.g. 10 Hz).
severity : Severity of status. Relies on the definitions within RFC-5424. See enum MAV_SEVERITY. (uint8_t)
text : Status text message, without null termination character (char)
'''
return self.send(self.statustext_encode(severity, text))
def debug_encode(self, time_boot_ms, ind, value):
'''
Send a debug value. The index is used to discriminate between values.
These values show up in the plot of QGroundControl as
DEBUG N.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
ind : index of debug variable (uint8_t)
value : DEBUG value (float)
'''
msg = MAVLink_debug_message(time_boot_ms, ind, value)
msg.pack(self)
return msg
def debug_send(self, time_boot_ms, ind, value):
'''
Send a debug value. The index is used to discriminate between values.
These values show up in the plot of QGroundControl as
DEBUG N.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
ind : index of debug variable (uint8_t)
value : DEBUG value (float)
'''
return self.send(self.debug_encode(time_boot_ms, ind, value))
| 59.303663
| 579
| 0.58319
| 37,274
| 312,471
| 4.644685
| 0.042496
| 0.019824
| 0.017606
| 0.018715
| 0.859622
| 0.808134
| 0.769289
| 0.736625
| 0.713319
| 0.692721
| 0
| 0.031636
| 0.346509
| 312,471
| 5,268
| 580
| 59.31492
| 0.816202
| 0.423617
| 0
| 0.323996
| 1
| 0
| 0.049116
| 0.005481
| 0
| 0
| 0
| 0
| 0
| 1
| 0.169935
| false
| 0.003735
| 0.000467
| 0.044351
| 0.343137
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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0
| 7
|
6a07cfcee599ccf0eab0d4eca12139c8a2272c22
| 70,751
|
py
|
Python
|
legacy/functional_code/backprojection/backprojection.py
|
jjimmykang/bwsi-backprojection
|
440e21f90e2a1d0d1c28bfd9a0faaf97129378a5
|
[
"MIT"
] | 1
|
2020-02-09T19:09:27.000Z
|
2020-02-09T19:09:27.000Z
|
legacy/functional_code/backprojection/backprojection.py
|
jjimmykang/bwsi-backprojection
|
440e21f90e2a1d0d1c28bfd9a0faaf97129378a5
|
[
"MIT"
] | null | null | null |
legacy/functional_code/backprojection/backprojection.py
|
jjimmykang/bwsi-backprojection
|
440e21f90e2a1d0d1c28bfd9a0faaf97129378a5
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from pytransform import pyarmor_runtime
pyarmor_runtime()
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1)
| 17,687.75
| 70,671
| 0.750081
| 17,674
| 70,751
| 3.001867
| 0.01522
| 0.000452
| 0.000792
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.311658
| 0.000141
| 70,751
| 4
| 70,671
| 17,687.75
| 0.438331
| 0.000283
| 0
| 0
| 0
| 0.333333
| 0.9986
| 0.9986
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 1
| 1
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 11
|
6a33a2009362d494b419ac787df1773780479897
| 106
|
py
|
Python
|
expdj/apps/main/context_processors.py
|
vsoch/expfactory-docker-dev
|
a2d9097db3d57a5c5303c2bc281cb4361af25ec4
|
[
"MIT"
] | null | null | null |
expdj/apps/main/context_processors.py
|
vsoch/expfactory-docker-dev
|
a2d9097db3d57a5c5303c2bc281cb4361af25ec4
|
[
"MIT"
] | null | null | null |
expdj/apps/main/context_processors.py
|
vsoch/expfactory-docker-dev
|
a2d9097db3d57a5c5303c2bc281cb4361af25ec4
|
[
"MIT"
] | 1
|
2021-04-22T03:43:46.000Z
|
2021-04-22T03:43:46.000Z
|
from expdj.settings import DOMAIN_NAME
def domain_processor(request):
return {'domain': DOMAIN_NAME}
| 21.2
| 38
| 0.783019
| 14
| 106
| 5.714286
| 0.714286
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132075
| 106
| 4
| 39
| 26.5
| 0.869565
| 0
| 0
| 0
| 0
| 0
| 0.056604
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 7
|
e015e5ff95b53ce5e6febf3c0642346436cc1b16
| 71,871
|
py
|
Python
|
qmeq/tests/test_leadstun.py
|
gedaskir/test-deploy-qmeq
|
47f1176df5341a0f251657c299a4a98aaac40833
|
[
"BSD-2-Clause"
] | 16
|
2016-12-14T09:21:16.000Z
|
2022-02-23T08:01:45.000Z
|
qmeq/tests/test_leadstun.py
|
gedaskir/test-deploy-qmeq
|
47f1176df5341a0f251657c299a4a98aaac40833
|
[
"BSD-2-Clause"
] | 3
|
2018-02-03T19:13:01.000Z
|
2021-06-09T14:10:28.000Z
|
qmeq/tests/test_leadstun.py
|
gedaskir/test-deploy-qmeq
|
47f1176df5341a0f251657c299a4a98aaac40833
|
[
"BSD-2-Clause"
] | 7
|
2017-07-09T04:46:42.000Z
|
2021-04-26T16:27:55.000Z
|
from numpy.linalg import norm
from qmeq.indexing import StateIndexing
from qmeq.leadstun import *
EPS = 1e-14
class ParametersDoubleDotSpinful(object):
def __init__(self):
tL, tR = 2.0, 1.0
self.tleads = {(0,0): tL, (2,2): tL,
(1,1): tR, (3,3): tR,
(0,1): 0.3*tL, (2,3): 0.3*tL,
(1,0): 0.1*tR, (3,2): 0.1*tR}
e1, e2, omega = 0.0, 0.0, 20.0
self.hsingle = {(0,0):e1, (2,2):e1,
(1,1):e2, (3,3):e2,
(0,1):omega, (2,3):omega}
uintra, uinter = 80.0, 40.0
self.coulomb = {(0,2,2,0):uintra, (1,3,3,1):uintra,
(0,1,1,0):uinter, (0,3,3,0):uinter,
(1,2,2,1):uinter, (2,3,3,2):uinter}
self.vecs = {'Lin': [np.array([[1.0]]), np.array([[-0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0]]), np.array([[0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.37174803446018445, 0.0, 0.0, 0.0, -0.7071067811865476, -0.6015009550075454], [-0.6015009550075456, 0.0, 0.0, -0.7071067811865475, 0.0, -0.37174803446018434], [-0.6015009550075456, 0.0, 0.0, 0.7071067811865476, 0.0, -0.37174803446018423], [0.37174803446018445, 0.0, 0.0, 0.0, 0.7071067811865476, -0.6015009550075455], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0]]), np.array([[-0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0]]), np.array([[1.0]])],
'charge': [np.array([[1.0]]), np.array([[-0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0]]), np.array([[0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.37174803446018445, 0.0, 0.0, 0.0, -0.7071067811865476, -0.6015009550075454], [-0.6015009550075456, 0.0, 0.0, -0.7071067811865475, 0.0, -0.37174803446018434], [-0.6015009550075456, 0.0, 0.0, 0.7071067811865476, 0.0, -0.37174803446018423], [0.37174803446018445, 0.0, 0.0, 0.0, 0.7071067811865476, -0.6015009550075455], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0]]), np.array([[-0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.7071067811865475, 0.0, 0.0, 0.7071067811865475], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0]]), np.array([[1.0]])],
'sz': [[np.array([[1.0]])], [np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]]), np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]])], [np.array([[1.0]]), np.array([[0.37174803446018445, 0.0, -0.7071067811865476, -0.6015009550075454], [-0.6015009550075456, -0.7071067811865475, 0.0, -0.37174803446018434], [-0.6015009550075456, 0.7071067811865476, 0.0, -0.37174803446018423], [0.37174803446018445, 0.0, 0.7071067811865476, -0.6015009550075455]]), np.array([[1.0]])], [np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]]), np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]])], [np.array([[1.0]])]],
'ssq': [[[np.array([[1.0]])]], [[np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]])], [np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]])]], [[np.array([[1.0]])], [np.array([[0.37174803446018434, -0.7071067811865475, -0.6015009550075459], [-0.6015009550075456, 0.0, -0.3717480344601844], [-0.6015009550075456, 0.0, -0.3717480344601844], [0.3717480344601844, 0.707106781186548, -0.6015009550075456]]), np.array([[0.0], [-0.7071067811865475], [0.7071067811865475], [0.0]])], [np.array([[1.0]])]], [[np.array([[-0.7071067811865475, 0.7071067811865475], [0.7071067811865475, 0.7071067811865475]])], [np.array([[0.7071067811865475, -0.7071067811865475], [-0.7071067811865475, -0.7071067811865475]])]], [[np.array([[1.0]])]]]}
def test_construct_Tba():
data = {'Lin': [[[0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0], [0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0], [0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0], [0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0], [2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0], [0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0], [0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0], [0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6], [0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1], [0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0], [0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0], [0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0], [0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], [0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0]], [[0.0, 0.6, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 2.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -0.6, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 2.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, -0.6], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, -0.6, 0.0]], [[0.0, 1.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.1, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.1, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.1, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.1], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, -1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, -1.0, 0.0]]],
'charge': [[[0.0, 0.0, 0.0, 0.6, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 2.0, 0.0, 0.0, 0.0], [0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0], [0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0], [0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0], [0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0], [0.0, 0.0, 0.0, 2.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0], 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'ssq': [[[0.0, 0.0, 0.0, 0.6, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 2.0, 0.0, 0.0, 0.0], [0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0], [0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0], [0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0], [0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0], [0.0, 0.0, 0.0, 2.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, -0.6, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.0, 1.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0], [0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.1, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0], [0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0], [0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0], [0.0, 0.0, 0.0, 0.1, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1], [0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, -1.0, 0.0, 0.0, 0.0]], [[0.0, 0.6, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.0, 0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 2.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 2.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.0, 0.6, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.0, 2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, -0.6], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, -0.6, 0.0]], [[0.0, 1.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.1, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.1, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, -0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.1, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.1, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.1], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0, 0.0, 0.0, -1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, -1.0, 0.0]]]}
p = ParametersDoubleDotSpinful()
for indexing in ['Lin', 'charge', 'sz', 'ssq']:
si = StateIndexing(4, indexing=indexing)
leads = LeadsTunneling(4, {}, si, {}, {}, {})
Tba = construct_Tba(leads, p.tleads)
assert Tba.tolist() == data[indexing]
def test_construct_full_pmtr():
data = {'Lin': np.array([[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, -0.7071067811865475, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.37174803446018445, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865476, 0.0, -0.6015009550075454, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.6015009550075456, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.0, 0.0, -0.37174803446018434, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0], [0.0, 0.0, 0.7071067811865475, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.6015009550075456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865476, 0.0, 0.0, -0.37174803446018423, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.37174803446018445, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865476, 0.0, -0.6015009550075455, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.0, 0.7071067811865475, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0, 0.7071067811865475, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]),
'charge': np.array([[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -0.7071067811865475, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.7071067811865475, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.37174803446018445, 0.0, 0.0, 0.0, -0.7071067811865476, -0.6015009550075454, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, 0.0, 0.0, -0.7071067811865475, 0.0, -0.37174803446018434, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, 0.0, 0.0, 0.7071067811865476, 0.0, -0.37174803446018423, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.37174803446018445, 0.0, 0.0, 0.0, 0.7071067811865476, -0.6015009550075455, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.0, 0.0, 0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.0, 0.0, 0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]),
'sz': np.array([[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.37174803446018445, 0.0, -0.7071067811865476, -0.6015009550075454, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, -0.7071067811865475, 0.0, -0.37174803446018434, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, 0.7071067811865476, 0.0, -0.37174803446018423, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.37174803446018445, 0.0, 0.7071067811865476, -0.6015009550075455, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]),
'ssq': np.array([[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.37174803446018434, -0.7071067811865475, -0.6015009550075459, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, 0.0, -0.3717480344601844, -0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6015009550075456, 0.0, -0.3717480344601844, 0.7071067811865475, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3717480344601844, 0.707106781186548, -0.6015009550075456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, 0.7071067811865475, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7071067811865475, -0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7071067811865475, -0.7071067811865475, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]])}
p = ParametersDoubleDotSpinful()
for indexing in ['Lin', 'charge', 'sz', 'ssq']:
si = StateIndexing(4, indexing=indexing)
Pmtr = construct_full_pmtr(p.vecs[indexing], si)
assert norm(Pmtr - data[indexing]) < EPS
def test_rotate_Tba():
data = {'Lin': [[[0.0, 0.0, 0.9899494936611665, 0.0, 1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.9634673443298214, 0.0, 0.0, 0.0, 0.0, 0.0, -1.3, 1.3, 0.0, -0.2274437873630345, 0.0, 0.0, 0.0], [0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.9634673443298213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.4223956051027782, 0.0, 0.0, -1.7892964966125253, 0.0, -0.2274437873630344, 0.0, 0.0], [1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.8384776310850235, 0.0], [0.0, 0.0, -1.8384776310850235, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235], [0.0, 0.0, 0.0, -0.42239560510277824, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7, 0.7, 0.0, -1.7892964966125247, 0.0, 0.0, 0.0], [0.0, -1.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7, 0.0, 0.0, -0.7, 0.0, -1.3, 0.0, 0.0], [0.0, 1.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7, 0.0, 0.0, 0.7, 0.0, -1.3, 0.0, 0.0], [0.0, 0.0, 0.0, -1.7892964966125255, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7, 0.7, 0.0, 0.4223956051027781, 0.0, 0.0, 0.0], [0.0, -0.22744378736303472, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.7892964966125247, 0.0, 0.0, 0.42239560510277796, 0.0, -0.9634673443298212, 0.0, 0.0], [0.0, 0.0, 0.0, -0.2274437873630345, 0.0, 0.0, 0.0, 0.0, 0.0, -1.3, -1.3, 0.0, -0.963467344329821, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0]], [[0.0, 0.0, -0.6363961030678927, 0.0, 0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.619371864212028, 0.0, 0.0, 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0.0, 0.0, -0.4223956051027786, 0.9634673443298214, 0.0], [0.0, -1.3, 0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7, 1.3, 0.0], [0.0, 0.0, 0.0, -1.8384776310850235, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235], [0.0, 0.0, 0.0, 0.0, 0.0, 1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.789296496612525, -0.7, -0.4223956051027786, 0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2274437873630345, 1.3, 0.9634673443298214, 1.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235, 0.9899494936611665, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.0, -0.6363961030678927, 0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.619371864212028, 0.55, 0.146213863304808, -0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.17870583292809852, -0.45, -0.7570100562591454, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0], [0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6363961030678927, 0.7778174593052022, 0.0, 0.0, 0.0], [0.0, -0.619371864212028, -0.17870583292809852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7570100562591453, -0.14621386330480785, 0.0], [0.0, 0.55, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.45, 0.55, 0.0], [0.0, 0.146213863304808, -0.7570100562591454, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.17870583292809852, -0.6193718642120278, 0.0], [0.0, -0.55, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.45, 0.55, 0.0], [0.0, 0.0, 0.0, -0.7778174593052022, -0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7778174593052022], [0.0, 0.0, 0.0, 0.0, 0.0, 0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.6363961030678927], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7570100562591453, 0.45, -0.17870583292809852, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.14621386330480785, 0.55, -0.6193718642120278, 0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7778174593052022, -0.6363961030678927, 0.0, 0.0, 0.0]], [[0.0, 0.9899494936611665, 1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.9899494936611665, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.8384776310850235, 0.0, 0.0, 0.0, 0.0, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.9634673443298214, -1.3, 0.22744378736303428, -1.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4223956051027784, -0.7, 1.789296496612525, 0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -1.8384776310850235, 0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.9634673443298214, 0.4223956051027784, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.789296496612525, 0.22744378736303444, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -1.3, -0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7, 1.3, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.22744378736303428, 1.789296496612525, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.42239560510277857, 0.9634673443298214, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -1.3, 0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7, -1.3, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.9899494936611665, -1.8384776310850235, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.789296496612525, -0.7, -0.42239560510277857, -0.7, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.22744378736303444, 1.3, 0.9634673443298214, -1.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.9899494936611665, 0.0, 0.0, 0.0, 0.0, 1.8384776310850235], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.8384776310850235, 0.0, 0.0, 0.0, 0.0, -0.9899494936611665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.8384776310850235, -0.9899494936611665, 0.0]], [[0.0, -0.6363961030678927, 0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [-0.6363961030678927, 0.0, 0.0, 0.0, 0.0, -0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.7778174593052022, 0.0, 0.0, 0.0, 0.0, -0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.619371864212028, -0.55, -0.146213863304808, -0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.17870583292809852, 0.45, 0.7570100562591454, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, -0.7778174593052022, -0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.619371864212028, 0.17870583292809852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7570100562591453, -0.14621386330480785, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.55, 0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.45, 0.55, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.146213863304808, 0.7570100562591454, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.17870583292809855, -0.6193718642120278, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, -0.55, -0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.45, -0.55, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6363961030678927, -0.7778174593052022, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7570100562591453, 0.45, -0.17870583292809855, 0.45, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.14621386330480785, 0.55, -0.6193718642120278, -0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6363961030678927, 0.0, 0.0, 0.0, 0.0, 0.7778174593052022], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.7778174593052022, 0.0, 0.0, 0.0, 0.0, 0.6363961030678927], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7778174593052022, 0.6363961030678927, 0.0]]]}
p = ParametersDoubleDotSpinful()
for indexing in ['Lin', 'charge', 'sz', 'ssq']: # 'Lin', 'charge', 'sz', 'ssq'
si = StateIndexing(4, indexing=indexing)
leads = LeadsTunneling(4, {}, si, {}, {}, {})
Tba0 = construct_Tba(leads, p.tleads)
Tba = rotate_Tba(Tba0, p.vecs[indexing], si)
assert norm(Tba - data[indexing]) < EPS
def test_make_tleads_mtr_and_dict():
nsingle = 4
nleads = 4
si = StateIndexing(nsingle)
si.nleads = nleads
#
tL, tR = 2.0, 1.0
tleads_dict = {(0,0): tL, (2,2): tL, (1,1): tR, (3,3): tR, (0,1): 0.3*tL, (2,3): 0.3*tL, (1,0): 0.1*tR, (3,2): 0.1*tR}
tleads_list = [[0,0,tL], [2,2,tL], [1,1,tR], [3,3,tR], [0,1,0.3*tL], [2,3,0.3*tL], [1,0,0.1*tR], [3,2,0.1*tR]]
tleads_mtr = [[tL, 0.3*tL, 0.0, 0.0], [0.1*tR, tR, 0.0, 0.0], [0.0, 0.0, tL, 0.3*tL], [0.0, 0.0, 0.1*tR, tR]]
assert make_tleads_mtr(tleads_dict, nleads, nsingle, mtype=float).tolist() == tleads_mtr
assert make_tleads_mtr(tleads_list, nleads, nsingle, mtype=float).tolist() == tleads_mtr
assert make_tleads_dict(tleads_list, si) == tleads_dict
assert make_tleads_dict(np.array(tleads_mtr), si) == tleads_dict
assert make_tleads_dict(tleads_dict, si) == tleads_dict
def test_make_array():
si = StateIndexing(0)
si.nleads = 7
si.nleads_sym = 7
assert make_array(None, {0:0.3, 1:0.2, 2:0.1, 3:0.01, 6:1.0}, si).tolist() == [0.3, 0.2, 0.1, 0.01, 0., 0., 1.]
assert make_array(None, 2, si).tolist() == [2, 2, 2, 2, 2, 2, 2]
assert make_array_dlst(None, {0:0.3, 1:0.2, 2:0.1, 3:0.01, 6:1.0}, si).tolist() == [[-0.3,0.3], [-0.2,0.2], [-0.1,0.1], [-0.01,0.01], [0.,0.], [0.,0.], [-1.,1.]]
def test_LeadsTunneling():
nsingle = 2
nleads = 4
t0, vbias, temp, dband = 0.1, 0.5, 1.0, 60.0
mulst = {0: vbias/2, 1: -vbias/2, 2: vbias/2, 3: -vbias/2}
tlst = {0: temp, 1: temp, 2: temp, 3: temp}
dlst = {0: dband, 1: dband, 2: dband, 3: dband}
tleads = np.array([[t0,0], [t0,0], [0,t0], [0,t0]])
si = StateIndexing(nsingle)
leads = LeadsTunneling(nleads, tleads, si, mulst, tlst, dlst)
#
assert leads.tleads == {(0,0):t0, (1,0):t0, (2,1):t0, (3,1):t0}
assert leads.si.nleads == 4
assert leads.mulst.tolist() == [vbias/2, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, temp, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
#
leads.add(tleads={(0,0):1.0, (1,0):2.0, (2,1):3.0, (3,1):4.0},
mulst={0:0.1, 1:0.2, 2:0.3, 3:0.4},
tlst={0:1.0, 1:2.0, 2:3.0, 3:4.0},
dlst={0:10.0, 1:20.0, 2:30.0, 3:40.0})
assert leads.tleads == {(0,0):t0+1.0, (1,0):t0+2.0, (2,1):t0+3.0, (3,1):t0+4.0}
assert leads.mulst.tolist() == [vbias/2+0.1, -vbias/2+0.2, vbias/2+0.3, -vbias/2+0.4]
assert leads.tlst.tolist() == [temp+1.0, temp+2.0, temp+3.0, temp+4.0]
assert leads.dlst.tolist() == [[-dband-10.0,dband+10.0], [-dband-20.0,dband+20.0], [-dband-30.0,dband+30.0], [-dband-40.0,dband+40.0]]
#
leads.change(tleads={(0,0):t0, (1,0):t0, (2,1):t0, (3,1):t0},
mulst=[vbias/2, -vbias/2, vbias/2, -vbias/2],
tlst=[temp, temp, temp, temp],
dlst=[dband, dband, dband, dband])
# The change function introduces numerical errors to tleads
assert norm( make_tleads_mtr(leads.tleads, 4, 2) - make_tleads_mtr({(0,0):t0, (1,0):t0, (2,1):t0, (3,1):t0}, 4, 2) ) < EPS
assert leads.mulst.tolist() == [vbias/2, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, temp, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
#
leads.change(mulst={0: 1.23}, tlst={1: 2.13}, dlst={2: 3.21})
assert leads.mulst.tolist() == [1.23, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, 2.13, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-3.21,3.21], [-dband,dband]]
leads.add(mulst={0: 1.23}, tlst={1: 2.13}, dlst={2: 3.21})
assert leads.mulst.tolist() == [2*1.23, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, 2*2.13, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-2*3.21,2*3.21], [-dband,dband]]
#
leads.change(mulst=1, tlst=2, dlst=3)
assert leads.mulst.tolist() == [1, 1, 1, 1]
assert leads.tlst.tolist() == [2, 2, 2, 2]
assert leads.dlst.tolist() == [[-3,3], [-3,3], [-3,3], [-3,3]]
leads.change(mulst=[vbias/2, -vbias/2, vbias/2, -vbias/2],
tlst=[temp, temp, temp, temp],
dlst=[dband, dband, dband, dband])
leads.add(mulst=1, tlst=2, dlst=3)
assert leads.mulst.tolist() == [vbias/2+1, -vbias/2+1, vbias/2+1, -vbias/2+1]
assert leads.tlst.tolist() == [temp+2, temp+2, temp+2, temp+2]
assert leads.dlst.tolist() == [[-dband-3,dband+3], [-dband-3,dband+3],
[-dband-3,dband+3], [-dband-3,dband+3]]
#
leads.change(dlst=dband-10.0)
leads.add(dlst=10.0)
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
leads.change(dlst={0:(1,1), 3:(2,2)})
assert leads.dlst.tolist() == [[1,1], [-dband,dband], [-dband,dband], [2,2]]
leads.add(dlst={0:(1,1), 3:(2,2)})
assert leads.dlst.tolist() == [[2,2], [-dband,dband], [-dband,dband], [4,4]]
#
Tba_tmp = np.array(leads.Tba)
leads.Tba.fill(0.0)
leads.use_Tba0()
assert norm(leads.Tba - Tba_tmp) < EPS
def test_LeadsTunneling_spin():
nsingle = 2
nleads = 4
t0, vbias, temp, dband = 0.1, 0.5, 1.0, 60.0
mulst = {0: vbias/2, 1: -vbias/2}
tlst = {0: temp, 1: temp}
dlst = {0: dband, 1: dband}
tleads = np.array([[t0,0], [t0,0]])
si = StateIndexing(nsingle, symmetry='spin')
leads = LeadsTunneling(nleads, tleads, si, mulst, tlst, dlst)
#
assert leads.tleads == {(0,0):t0, (1,0):t0, (2,1):t0, (3,1):t0}
assert leads.si.nleads == 4
assert leads.mulst.tolist() == [vbias/2, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, temp, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
#
leads.add(tleads={(0,0):1.0, (1,0):2.0},
mulst={0:0.1, 1:0.2},
tlst={0:1.0, 1:2.0},
dlst={0:10.0, 1:20.0})
assert leads.tleads == {(0,0):t0+1.0, (1,0):t0+2.0, (2,1):t0+1.0, (3,1):t0+2.0}
assert leads.mulst.tolist() == [vbias/2+0.1, -vbias/2+0.2, vbias/2+0.1, -vbias/2+0.2]
assert leads.tlst.tolist() == [temp+1.0, temp+2.0, temp+1.0, temp+2.0]
assert leads.dlst.tolist() == [[-dband-10.0,dband+10.0], [-dband-20.0,dband+20.0], [-dband-10.0,dband+10.0], [-dband-20.0,dband+20.0]]
#
leads.change(tleads={(0,0):t0, (1,0):t0},
mulst=[vbias/2, -vbias/2],
tlst=[temp, temp],
dlst=[dband, dband])
# The change function introduces numerical errors to tleads
assert norm( make_tleads_mtr(leads.tleads, 4, 2) - make_tleads_mtr({(0,0):t0, (1,0):t0, (2,1):t0, (3,1):t0}, 4, 2) ) < EPS
assert leads.mulst.tolist() == [vbias/2, -vbias/2, vbias/2, -vbias/2]
assert leads.tlst.tolist() == [temp, temp, temp, temp]
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
#
leads.change(mulst={0: 1.23}, tlst={1: 2.13}, dlst={1: 3.21})
assert leads.mulst.tolist() == [1.23, -vbias/2, 1.23, -vbias/2]
assert leads.tlst.tolist() == [temp, 2.13, temp, 2.13]
assert leads.dlst.tolist() == [[-dband,dband], [-3.21,3.21], [-dband,dband], [-3.21,3.21]]
leads.add(mulst={0: 1.23}, tlst={1: 2.13}, dlst={1: 3.21})
assert leads.mulst.tolist() == [2*1.23, -vbias/2, 2*1.23, -vbias/2]
assert leads.tlst.tolist() == [temp, 2*2.13, temp, 2*2.13]
assert leads.dlst.tolist() == [[-dband,dband], [-2*3.21,2*3.21], [-dband,dband], [-2*3.21,2*3.21]]
#
leads.change(mulst=1, tlst=2, dlst=3)
assert leads.mulst.tolist() == [1, 1, 1, 1]
assert leads.tlst.tolist() == [2, 2, 2, 2]
assert leads.dlst.tolist() == [[-3,3], [-3,3], [-3,3], [-3,3]]
leads.change(mulst=[vbias/2, -vbias/2],
tlst=[temp, temp],
dlst=[dband, dband])
leads.add(mulst=1, tlst=2, dlst=3)
assert leads.mulst.tolist() == [vbias/2+1, -vbias/2+1, vbias/2+1, -vbias/2+1]
assert leads.tlst.tolist() == [temp+2, temp+2, temp+2, temp+2]
assert leads.dlst.tolist() == [[-dband-3,dband+3], [-dband-3,dband+3],
[-dband-3,dband+3], [-dband-3,dband+3]]
#
leads.change(dlst=dband-10.0)
leads.add(dlst=10.0)
assert leads.dlst.tolist() == [[-dband,dband], [-dband,dband], [-dband,dband], [-dband,dband]]
leads.change(dlst={0:(1,1), 1:(2,2)})
assert leads.dlst.tolist() == [[1,1], [2,2], [1,1], [2,2]]
leads.add(dlst={0:(1,1), 1:(2,2)})
assert leads.dlst.tolist() == [[2,2], [4,4], [2,2], [4,4]]
#
Tba_tmp = np.array(leads.Tba)
leads.Tba.fill(0.0)
leads.use_Tba0()
assert norm(leads.Tba - Tba_tmp) < EPS
| 303.253165
| 7,347
| 0.503708
| 20,758
| 71,871
| 1.740726
| 0.007563
| 0.871977
| 1.212653
| 1.500526
| 0.969807
| 0.962805
| 0.957159
| 0.945647
| 0.936652
| 0.928488
| 0
| 0.517364
| 0.166242
| 71,871
| 236
| 7,348
| 304.538136
| 0.085643
| 0.002004
| 0
| 0.40796
| 0
| 0
| 0.001422
| 0
| 0
| 0
| 0
| 0
| 0.343284
| 1
| 0.039801
| false
| 0
| 0.014925
| 0
| 0.059701
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
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| 0
|
0
| 14
|
e017feebffe8196d8c226e1dcb046468918a3fc6
| 29,671
|
py
|
Python
|
test/test_dhcp6.py
|
pogobanane/vpp-fork
|
fccc95ae06e98a1605c4600b1e441811b67abfa8
|
[
"Apache-2.0"
] | 2
|
2019-04-03T10:09:09.000Z
|
2020-09-23T08:56:24.000Z
|
test/test_dhcp6.py
|
pogobanane/vpp-fork
|
fccc95ae06e98a1605c4600b1e441811b67abfa8
|
[
"Apache-2.0"
] | 2
|
2021-03-20T05:38:00.000Z
|
2021-06-02T03:49:49.000Z
|
test/test_dhcp6.py
|
AbduSami-bK/vpp
|
ad3f68b9d8c27206ab5dfbf129352a1c844a7004
|
[
"Apache-2.0"
] | 1
|
2019-03-12T18:19:23.000Z
|
2019-03-12T18:19:23.000Z
|
from socket import AF_INET6
from scapy.layers.dhcp6 import DHCP6_Advertise, DHCP6OptClientId, \
DHCP6OptStatusCode, DHCP6OptPref, DHCP6OptIA_PD, DHCP6OptIAPrefix, \
DHCP6OptServerId, DHCP6_Solicit, DHCP6_Reply, DHCP6_Request, DHCP6_Renew, \
DHCP6_Rebind, DUID_LL, DHCP6_Release, DHCP6OptElapsedTime, DHCP6OptIA_NA, \
DHCP6OptIAAddress
from scapy.layers.inet6 import IPv6, Ether, UDP
from scapy.utils6 import in6_mactoifaceid
from scapy.utils import inet_ntop, inet_pton
from framework import VppTestCase
import util
def ip6_normalize(ip6):
return inet_ntop(AF_INET6, inet_pton(AF_INET6, ip6))
class TestDHCPv6DataPlane(VppTestCase):
""" DHCPv6 Data Plane Test Case """
@classmethod
def setUpClass(cls):
super(TestDHCPv6DataPlane, cls).setUpClass()
@classmethod
def tearDownClass(cls):
super(TestDHCPv6DataPlane, cls).tearDownClass()
def setUp(self):
super(TestDHCPv6DataPlane, self).setUp()
self.create_pg_interfaces(range(1))
self.interfaces = list(self.pg_interfaces)
for i in self.interfaces:
i.admin_up()
i.config_ip6()
self.server_duid = DUID_LL(lladdr=self.pg0.remote_mac)
def tearDown(self):
for i in self.interfaces:
i.unconfig_ip6()
i.admin_down()
super(TestDHCPv6DataPlane, self).tearDown()
def test_dhcp_ia_na_send_solicit_receive_advertise(self):
""" Verify DHCPv6 IA NA Solicit packet and Advertise event """
self.vapi.dhcp6_clients_enable_disable()
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
address_bin = '\00\01\00\02\00\03' + '\00' * 8 + '\00\05'
address = {'address': address_bin,
'preferred_time': 60,
'valid_time': 120}
self.vapi.dhcp6_send_client_message(msg_type=1,
sw_if_index=self.pg0.sw_if_index,
T1=20, T2=40, addresses=[address],
n_addresses=len([address]))
rx_list = self.pg0.get_capture(1)
self.assertEqual(len(rx_list), 1)
packet = rx_list[0]
self.assertEqual(packet.haslayer(IPv6), 1)
self.assertEqual(packet[IPv6].haslayer(DHCP6_Solicit), 1)
client_duid = packet[DHCP6OptClientId].duid
trid = packet[DHCP6_Solicit].trid
dst = ip6_normalize(packet[IPv6].dst)
dst2 = ip6_normalize("ff02::1:2")
self.assert_equal(dst, dst2)
src = ip6_normalize(packet[IPv6].src)
src2 = ip6_normalize(self.pg0.local_ip6_ll)
self.assert_equal(src, src2)
ia_na = packet[DHCP6OptIA_NA]
self.assert_equal(ia_na.T1, 20)
self.assert_equal(ia_na.T2, 40)
self.assert_equal(len(ia_na.ianaopts), 1)
address = ia_na.ianaopts[0]
self.assert_equal(address.addr, '1:2:3::5')
self.assert_equal(address.preflft, 60)
self.assert_equal(address.validlft, 120)
self.vapi.want_dhcp6_reply_events()
try:
ia_na_opts = DHCP6OptIAAddress(addr='7:8::2', preflft=60,
validlft=120)
p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) /
IPv6(src=util.mk_ll_addr(self.pg0.remote_mac),
dst=self.pg0.local_ip6_ll) /
UDP(sport=547, dport=546) /
DHCP6_Advertise(trid=trid) /
DHCP6OptServerId(duid=self.server_duid) /
DHCP6OptClientId(duid=client_duid) /
DHCP6OptPref(prefval=7) /
DHCP6OptStatusCode(statuscode=1) /
DHCP6OptIA_NA(iaid=1, T1=20, T2=40, ianaopts=ia_na_opts)
)
self.pg0.add_stream([p])
self.pg_start()
ev = self.vapi.wait_for_event(1, "dhcp6_reply_event")
self.assert_equal(ev.preference, 7)
self.assert_equal(ev.status_code, 1)
self.assert_equal(ev.T1, 20)
self.assert_equal(ev.T2, 40)
reported_address = ev.addresses[0]
address = inet_pton(AF_INET6, ia_na_opts.getfieldval("addr"))
self.assert_equal(reported_address.address, address)
self.assert_equal(reported_address.preferred_time,
ia_na_opts.getfieldval("preflft"))
self.assert_equal(reported_address.valid_time,
ia_na_opts.getfieldval("validlft"))
finally:
self.vapi.want_dhcp6_reply_events(enable_disable=0)
def test_dhcp_pd_send_solicit_receive_advertise(self):
""" Verify DHCPv6 PD Solicit packet and Advertise event """
self.vapi.dhcp6_clients_enable_disable()
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
prefix_bin = '\00\01\00\02\00\03' + '\00' * 10
prefix = {'prefix': prefix_bin,
'prefix_length': 50,
'preferred_time': 60,
'valid_time': 120}
self.vapi.dhcp6_pd_send_client_message(1, self.pg0.sw_if_index,
T1=20, T2=40, prefixes=[prefix])
rx_list = self.pg0.get_capture(1)
self.assertEqual(len(rx_list), 1)
packet = rx_list[0]
self.assertEqual(packet.haslayer(IPv6), 1)
self.assertEqual(packet[IPv6].haslayer(DHCP6_Solicit), 1)
client_duid = packet[DHCP6OptClientId].duid
trid = packet[DHCP6_Solicit].trid
dst = ip6_normalize(packet[IPv6].dst)
dst2 = ip6_normalize("ff02::1:2")
self.assert_equal(dst, dst2)
src = ip6_normalize(packet[IPv6].src)
src2 = ip6_normalize(self.pg0.local_ip6_ll)
self.assert_equal(src, src2)
ia_pd = packet[DHCP6OptIA_PD]
self.assert_equal(ia_pd.T1, 20)
self.assert_equal(ia_pd.T2, 40)
self.assert_equal(len(ia_pd.iapdopt), 1)
prefix = ia_pd.iapdopt[0]
self.assert_equal(prefix.prefix, '1:2:3::')
self.assert_equal(prefix.plen, 50)
self.assert_equal(prefix.preflft, 60)
self.assert_equal(prefix.validlft, 120)
self.vapi.want_dhcp6_pd_reply_events()
try:
ia_pd_opts = DHCP6OptIAPrefix(prefix='7:8::', plen=56, preflft=60,
validlft=120)
p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) /
IPv6(src=util.mk_ll_addr(self.pg0.remote_mac),
dst=self.pg0.local_ip6_ll) /
UDP(sport=547, dport=546) /
DHCP6_Advertise(trid=trid) /
DHCP6OptServerId(duid=self.server_duid) /
DHCP6OptClientId(duid=client_duid) /
DHCP6OptPref(prefval=7) /
DHCP6OptStatusCode(statuscode=1) /
DHCP6OptIA_PD(iaid=1, T1=20, T2=40, iapdopt=ia_pd_opts)
)
self.pg0.add_stream([p])
self.pg_start()
ev = self.vapi.wait_for_event(1, "dhcp6_pd_reply_event")
self.assert_equal(ev.preference, 7)
self.assert_equal(ev.status_code, 1)
self.assert_equal(ev.T1, 20)
self.assert_equal(ev.T2, 40)
reported_prefix = ev.prefixes[0]
prefix = inet_pton(AF_INET6, ia_pd_opts.getfieldval("prefix"))
self.assert_equal(reported_prefix.prefix, prefix)
self.assert_equal(reported_prefix.prefix_length,
ia_pd_opts.getfieldval("plen"))
self.assert_equal(reported_prefix.preferred_time,
ia_pd_opts.getfieldval("preflft"))
self.assert_equal(reported_prefix.valid_time,
ia_pd_opts.getfieldval("validlft"))
finally:
self.vapi.want_dhcp6_pd_reply_events(enable_disable=0)
class TestDHCPv6IANAControlPlane(VppTestCase):
""" DHCPv6 IA NA Control Plane Test Case """
@classmethod
def setUpClass(cls):
super(TestDHCPv6IANAControlPlane, cls).setUpClass()
@classmethod
def tearDownClass(cls):
super(TestDHCPv6IANAControlPlane, cls).tearDownClass()
def setUp(self):
super(TestDHCPv6IANAControlPlane, self).setUp()
self.create_pg_interfaces(range(1))
self.interfaces = list(self.pg_interfaces)
for i in self.interfaces:
i.admin_up()
self.server_duid = DUID_LL(lladdr=self.pg0.remote_mac)
self.client_duid = None
self.T1 = 1
self.T2 = 2
fib = self.vapi.ip6_fib_dump()
self.initial_addresses = set(self.get_interface_addresses(fib,
self.pg0))
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
self.vapi.dhcp6_client_enable_disable(self.pg0.sw_if_index)
def tearDown(self):
self.vapi.dhcp6_client_enable_disable(self.pg0.sw_if_index, enable=0)
for i in self.interfaces:
i.admin_down()
super(TestDHCPv6IANAControlPlane, self).tearDown()
@staticmethod
def get_interface_addresses(fib, pg):
lst = []
for entry in fib:
if entry.address_length == 128:
path = entry.path[0]
if path.sw_if_index == pg.sw_if_index:
lst.append(entry.address)
return lst
def get_addresses(self):
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg0))
return addresses.difference(self.initial_addresses)
def validate_duid_ll(self, duid):
DUID_LL(duid)
def validate_packet(self, packet, msg_type, is_resend=False):
try:
self.assertEqual(packet.haslayer(msg_type), 1)
client_duid = packet[DHCP6OptClientId].duid
if self.client_duid is None:
self.client_duid = client_duid
self.validate_duid_ll(client_duid)
else:
self.assertEqual(self.client_duid, client_duid)
if msg_type != DHCP6_Solicit and msg_type != DHCP6_Rebind:
server_duid = packet[DHCP6OptServerId].duid
self.assertEqual(server_duid, self.server_duid)
if is_resend:
self.assertEqual(self.trid, packet[msg_type].trid)
else:
self.trid = packet[msg_type].trid
ip = packet[IPv6]
udp = packet[UDP]
self.assertEqual(ip.dst, 'ff02::1:2')
self.assertEqual(udp.sport, 546)
self.assertEqual(udp.dport, 547)
dhcpv6 = packet[msg_type]
elapsed_time = dhcpv6[DHCP6OptElapsedTime]
if (is_resend):
self.assertNotEqual(elapsed_time.elapsedtime, 0)
else:
self.assertEqual(elapsed_time.elapsedtime, 0)
except:
packet.show()
raise
def wait_for_packet(self, msg_type, timeout=None, is_resend=False):
if timeout is None:
timeout = 3
rx_list = self.pg0.get_capture(1, timeout=timeout)
packet = rx_list[0]
self.validate_packet(packet, msg_type, is_resend=is_resend)
def wait_for_solicit(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Solicit, timeout, is_resend=is_resend)
def wait_for_request(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Request, timeout, is_resend=is_resend)
def wait_for_renew(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Renew, timeout, is_resend=is_resend)
def wait_for_rebind(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Rebind, timeout, is_resend=is_resend)
def wait_for_release(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Release, timeout, is_resend=is_resend)
def send_packet(self, msg_type, t1=None, t2=None, ianaopts=None):
if t1 is None:
t1 = self.T1
if t2 is None:
t2 = self.T2
if ianaopts is None:
opt_ia_na = DHCP6OptIA_NA(iaid=1, T1=t1, T2=t2)
else:
opt_ia_na = DHCP6OptIA_NA(iaid=1, T1=t1, T2=t2, ianaopts=ianaopts)
p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) /
IPv6(src=util.mk_ll_addr(self.pg0.remote_mac),
dst=self.pg0.local_ip6_ll) /
UDP(sport=547, dport=546) /
msg_type(trid=self.trid) /
DHCP6OptServerId(duid=self.server_duid) /
DHCP6OptClientId(duid=self.client_duid) /
opt_ia_na
)
self.pg0.add_stream([p])
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
def send_advertise(self, t1=None, t2=None, ianaopts=None):
self.send_packet(DHCP6_Advertise, t1, t2, ianaopts)
def send_reply(self, t1=None, t2=None, ianaopts=None):
self.send_packet(DHCP6_Reply, t1, t2, ianaopts)
def test_T1_and_T2_timeouts(self):
""" Test T1 and T2 timeouts """
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
self.send_reply()
self.sleep(1)
self.wait_for_renew()
self.pg_enable_capture(self.pg_interfaces)
self.sleep(1)
self.wait_for_rebind()
def test_addresses(self):
""" Test handling of addresses """
ia_na_opts = DHCP6OptIAAddress(addr='7:8::2', preflft=1,
validlft=2)
self.wait_for_solicit()
self.send_advertise(t1=20, t2=40, ianaopts=ia_na_opts)
self.wait_for_request()
self.send_reply(t1=20, t2=40, ianaopts=ia_na_opts)
self.sleep(0.1)
# check FIB for new address
new_addresses = self.get_addresses()
self.assertEqual(len(new_addresses), 1)
addr = list(new_addresses)[0]
self.assertEqual(inet_ntop(AF_INET6, addr), '7:8::2')
self.sleep(2)
# check that the address is deleted
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg0))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
def test_sending_client_messages_solicit(self):
""" VPP receives messages from DHCPv6 client """
self.wait_for_solicit()
self.send_packet(DHCP6_Solicit)
self.send_packet(DHCP6_Request)
self.send_packet(DHCP6_Renew)
self.send_packet(DHCP6_Rebind)
self.sleep(1)
self.wait_for_solicit(is_resend=True)
def test_sending_inappropriate_packets(self):
""" Server sends messages with inappropriate message types """
self.wait_for_solicit()
self.send_reply()
self.wait_for_solicit(is_resend=True)
self.send_advertise()
self.wait_for_request()
self.send_advertise()
self.wait_for_request(is_resend=True)
self.send_reply()
self.wait_for_renew()
def test_no_address_available_in_advertise(self):
""" Advertise message contains NoAddrsAvail status code """
self.wait_for_solicit()
noavail = DHCP6OptStatusCode(statuscode=2) # NoAddrsAvail
self.send_advertise(ianaopts=noavail)
self.wait_for_solicit(is_resend=True)
def test_preferred_greater_than_valid_lifetime(self):
""" Preferred lifetime is greater than valid lifetime """
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
ia_na_opts = DHCP6OptIAAddress(addr='7:8::2', preflft=4, validlft=3)
self.send_reply(ianaopts=ia_na_opts)
self.sleep(0.5)
# check FIB contains no addresses
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg0))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
def test_T1_greater_than_T2(self):
""" T1 is greater than T2 """
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
ia_na_opts = DHCP6OptIAAddress(addr='7:8::2', preflft=4, validlft=8)
self.send_reply(t1=80, t2=40, ianaopts=ia_na_opts)
self.sleep(0.5)
# check FIB contains no addresses
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg0))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
class TestDHCPv6PDControlPlane(VppTestCase):
""" DHCPv6 PD Control Plane Test Case """
@classmethod
def setUpClass(cls):
super(TestDHCPv6PDControlPlane, cls).setUpClass()
@classmethod
def tearDownClass(cls):
super(TestDHCPv6PDControlPlane, cls).tearDownClass()
def setUp(self):
super(TestDHCPv6PDControlPlane, self).setUp()
self.create_pg_interfaces(range(2))
self.interfaces = list(self.pg_interfaces)
for i in self.interfaces:
i.admin_up()
self.server_duid = DUID_LL(lladdr=self.pg0.remote_mac)
self.client_duid = None
self.T1 = 1
self.T2 = 2
fib = self.vapi.ip6_fib_dump()
self.initial_addresses = set(self.get_interface_addresses(fib,
self.pg1))
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
self.prefix_group = 'my-pd-prefix-group'
self.vapi.dhcp6_pd_client_enable_disable(
self.pg0.sw_if_index,
prefix_group=self.prefix_group)
def tearDown(self):
self.vapi.dhcp6_pd_client_enable_disable(self.pg0.sw_if_index,
enable=0)
for i in self.interfaces:
i.admin_down()
super(TestDHCPv6PDControlPlane, self).tearDown()
@staticmethod
def get_interface_addresses(fib, pg):
lst = []
for entry in fib:
if entry.address_length == 128:
path = entry.path[0]
if path.sw_if_index == pg.sw_if_index:
lst.append(entry.address)
return lst
def get_addresses(self):
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg1))
return addresses.difference(self.initial_addresses)
def validate_duid_ll(self, duid):
DUID_LL(duid)
def validate_packet(self, packet, msg_type, is_resend=False):
try:
self.assertEqual(packet.haslayer(msg_type), 1)
client_duid = packet[DHCP6OptClientId].duid
if self.client_duid is None:
self.client_duid = client_duid
self.validate_duid_ll(client_duid)
else:
self.assertEqual(self.client_duid, client_duid)
if msg_type != DHCP6_Solicit and msg_type != DHCP6_Rebind:
server_duid = packet[DHCP6OptServerId].duid
self.assertEqual(server_duid, self.server_duid)
if is_resend:
self.assertEqual(self.trid, packet[msg_type].trid)
else:
self.trid = packet[msg_type].trid
ip = packet[IPv6]
udp = packet[UDP]
self.assertEqual(ip.dst, 'ff02::1:2')
self.assertEqual(udp.sport, 546)
self.assertEqual(udp.dport, 547)
dhcpv6 = packet[msg_type]
elapsed_time = dhcpv6[DHCP6OptElapsedTime]
if (is_resend):
self.assertNotEqual(elapsed_time.elapsedtime, 0)
else:
self.assertEqual(elapsed_time.elapsedtime, 0)
except:
packet.show()
raise
def wait_for_packet(self, msg_type, timeout=None, is_resend=False):
if timeout is None:
timeout = 3
rx_list = self.pg0.get_capture(1, timeout=timeout)
packet = rx_list[0]
self.validate_packet(packet, msg_type, is_resend=is_resend)
def wait_for_solicit(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Solicit, timeout, is_resend=is_resend)
def wait_for_request(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Request, timeout, is_resend=is_resend)
def wait_for_renew(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Renew, timeout, is_resend=is_resend)
def wait_for_rebind(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Rebind, timeout, is_resend=is_resend)
def wait_for_release(self, timeout=None, is_resend=False):
self.wait_for_packet(DHCP6_Release, timeout, is_resend=is_resend)
def send_packet(self, msg_type, t1=None, t2=None, iapdopt=None):
if t1 is None:
t1 = self.T1
if t2 is None:
t2 = self.T2
if iapdopt is None:
opt_ia_pd = DHCP6OptIA_PD(iaid=1, T1=t1, T2=t2)
else:
opt_ia_pd = DHCP6OptIA_PD(iaid=1, T1=t1, T2=t2, iapdopt=iapdopt)
p = (Ether(src=self.pg0.remote_mac, dst=self.pg0.local_mac) /
IPv6(src=util.mk_ll_addr(self.pg0.remote_mac),
dst=self.pg0.local_ip6_ll) /
UDP(sport=547, dport=546) /
msg_type(trid=self.trid) /
DHCP6OptServerId(duid=self.server_duid) /
DHCP6OptClientId(duid=self.client_duid) /
opt_ia_pd
)
self.pg0.add_stream([p])
self.pg_enable_capture(self.pg_interfaces)
self.pg_start()
def send_advertise(self, t1=None, t2=None, iapdopt=None):
self.send_packet(DHCP6_Advertise, t1, t2, iapdopt)
def send_reply(self, t1=None, t2=None, iapdopt=None):
self.send_packet(DHCP6_Reply, t1, t2, iapdopt)
def test_T1_and_T2_timeouts(self):
""" Test T1 and T2 timeouts """
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
self.send_reply()
self.sleep(1)
self.wait_for_renew()
self.pg_enable_capture(self.pg_interfaces)
self.sleep(1)
self.wait_for_rebind()
def test_prefixes(self):
""" Test handling of prefixes """
address_bin_1 = None
address_bin_2 = None
try:
address_bin_1 = '\x00' * 6 + '\x00\x02' + '\x00' * 6 + '\x04\x05'
address_prefix_length_1 = 60
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin_1,
address_prefix_length_1,
self.prefix_group)
ia_pd_opts = DHCP6OptIAPrefix(prefix='7:8::', plen=56, preflft=2,
validlft=3)
self.wait_for_solicit()
self.send_advertise(t1=20, t2=40, iapdopt=ia_pd_opts)
self.wait_for_request()
self.send_reply(t1=20, t2=40, iapdopt=ia_pd_opts)
self.sleep(0.1)
# check FIB for new address
new_addresses = self.get_addresses()
self.assertEqual(len(new_addresses), 1)
addr = list(new_addresses)[0]
self.assertEqual(inet_ntop(AF_INET6, addr), '7:8:0:2::405')
self.sleep(1)
address_bin_2 = '\x00' * 6 + '\x00\x76' + '\x00' * 6 + '\x04\x06'
address_prefix_length_2 = 62
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin_2,
address_prefix_length_2,
self.prefix_group)
self.sleep(1)
# check FIB contains 2 addresses
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg1))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 2)
addr1 = list(new_addresses)[0]
addr2 = list(new_addresses)[1]
if inet_ntop(AF_INET6, addr1) == '7:8:0:76::406':
addr1, addr2 = addr2, addr1
self.assertEqual(inet_ntop(AF_INET6, addr1), '7:8:0:2::405')
self.assertEqual(inet_ntop(AF_INET6, addr2), '7:8:0:76::406')
self.sleep(1)
# check that the addresses are deleted
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg1))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
finally:
if address_bin_1 is not None:
self.vapi.ip6_add_del_address_using_prefix(
self.pg1.sw_if_index, address_bin_1,
address_prefix_length_1, self.prefix_group, is_add=0)
if address_bin_2 is not None:
self.vapi.ip6_add_del_address_using_prefix(
self.pg1.sw_if_index, address_bin_2,
address_prefix_length_2, self.prefix_group, is_add=0)
def test_sending_client_messages_solicit(self):
""" VPP receives messages from DHCPv6 client """
self.wait_for_solicit()
self.send_packet(DHCP6_Solicit)
self.send_packet(DHCP6_Request)
self.send_packet(DHCP6_Renew)
self.send_packet(DHCP6_Rebind)
self.sleep(1)
self.wait_for_solicit(is_resend=True)
def test_sending_inappropriate_packets(self):
""" Server sends messages with inappropriate message types """
self.wait_for_solicit()
self.send_reply()
self.wait_for_solicit(is_resend=True)
self.send_advertise()
self.wait_for_request()
self.send_advertise()
self.wait_for_request(is_resend=True)
self.send_reply()
self.wait_for_renew()
def test_no_prefix_available_in_advertise(self):
""" Advertise message contains NoPrefixAvail status code """
self.wait_for_solicit()
noavail = DHCP6OptStatusCode(statuscode=6) # NoPrefixAvail
self.send_advertise(iapdopt=noavail)
self.wait_for_solicit(is_resend=True)
def test_preferred_greater_than_valid_lifetime(self):
""" Preferred lifetime is greater than valid lifetime """
try:
address_bin = '\x00' * 6 + '\x00\x02' + '\x00' * 6 + '\x04\x05'
address_prefix_length = 60
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin,
address_prefix_length,
self.prefix_group)
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
ia_pd_opts = DHCP6OptIAPrefix(prefix='7:8::', plen=56, preflft=4,
validlft=3)
self.send_reply(iapdopt=ia_pd_opts)
self.sleep(0.5)
# check FIB contains no addresses
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg1))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
finally:
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin,
address_prefix_length,
self.prefix_group,
is_add=0)
def test_T1_greater_than_T2(self):
""" T1 is greater than T2 """
try:
address_bin = '\x00' * 6 + '\x00\x02' + '\x00' * 6 + '\x04\x05'
address_prefix_length = 60
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin,
address_prefix_length,
self.prefix_group)
self.wait_for_solicit()
self.send_advertise()
self.wait_for_request()
ia_pd_opts = DHCP6OptIAPrefix(prefix='7:8::', plen=56, preflft=4,
validlft=8)
self.send_reply(t1=80, t2=40, iapdopt=ia_pd_opts)
self.sleep(0.5)
# check FIB contains no addresses
fib = self.vapi.ip6_fib_dump()
addresses = set(self.get_interface_addresses(fib, self.pg1))
new_addresses = addresses.difference(self.initial_addresses)
self.assertEqual(len(new_addresses), 0)
finally:
self.vapi.ip6_add_del_address_using_prefix(self.pg1.sw_if_index,
address_bin,
address_prefix_length,
self.prefix_group,
is_add=0)
| 37.797452
| 79
| 0.5927
| 3,583
| 29,671
| 4.639967
| 0.070332
| 0.026105
| 0.031759
| 0.021654
| 0.865684
| 0.847459
| 0.826887
| 0.787609
| 0.770045
| 0.738286
| 0
| 0.03936
| 0.31155
| 29,671
| 784
| 80
| 37.845663
| 0.774514
| 0.036264
| 0
| 0.723051
| 0
| 0
| 0.016438
| 0
| 0.00995
| 0
| 0
| 0
| 0.114428
| 1
| 0.091211
| false
| 0
| 0.011609
| 0.001658
| 0.116086
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| null | 0
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| 0
| 0
|
0
| 7
|
e02aa8e977f63bd646308a30ce83ae2d817d6628
| 18,921
|
py
|
Python
|
alastria_identity/services/contracts.py
|
alejandroalffer/alastria-identity-lib-py
|
4db82fc905fcfa48749cf6908a8dcfb462a5ff81
|
[
"MIT"
] | 1
|
2021-04-22T21:22:15.000Z
|
2021-04-22T21:22:15.000Z
|
alastria_identity/services/contracts.py
|
alejandroalffer/alastria-identity-lib-py
|
4db82fc905fcfa48749cf6908a8dcfb462a5ff81
|
[
"MIT"
] | null | null | null |
alastria_identity/services/contracts.py
|
alejandroalffer/alastria-identity-lib-py
|
4db82fc905fcfa48749cf6908a8dcfb462a5ff81
|
[
"MIT"
] | null | null | null |
from web3 import Web3
from web3.contract import Contract
IDENTITY_MANAGER_ADDRESS = '0xbd4a2c84edb97be5beff7cd341bd63567e73f8c9'
PUBLIC_KEY_REGISTRY_ADDRESS = '0x4958091227bbfbe1fdfc0fd79fc44844dc014ca0'
PRESENTATION_REGISTRY_ADDRESS = '0x54d1dbfacada17ff39f2bac08e05fbdb4659f671'
CREDENTIAL_REGISTRY_ADDRESS = '0x7bbca11cbd86b562136d5708eba40f4bc0aa1ddc'
class ContractsService:
@staticmethod
def AlastriaIdentityEntity(endpoint: Web3) -> Contract:
# TODO get the ABI from autogenerated config
return endpoint.eth.contract(
abi=[{"inputs":[],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_name","type":"string"},{"internalType":"string","name":"_cif","type":"string"},{"internalType":"string","name":"_url_logo","type":"string"},{"internalType":"string","name":"_url_createAID","type":"string"},{"internalType":"string","name":"_url_AOA","type":"string"},{"internalType":"bool","name":"_active","type":"bool"}],"name":"addEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_name","type":"string"}],"name":"setNameEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_cif","type":"string"}],"name":"setCifEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_url_logo","type":"string"}],"name":"setUrlLogo","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_url_createAID","type":"string"}],"name":"setUrlCreateAID","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"},{"internalType":"string","name":"_url_AOA","type":"string"}],"name":"setUrlAOA","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"internalType":"address","name":"_addressEntity","type":"address"}],"name":"getEntity","outputs":[{"internalType":"string","name":"_name","type":"string"},{"internalType":"string","name":"_cif","type":"string"},{"internalType":"string","name":"_url_logo","type":"string"},{"internalType":"string","name":"_url_createAID","type":"string"},{"internalType":"string","name":"_url_AOA","type":"string"},{"internalType":"bool","name":"_active","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"entitiesList","outputs":[{"internalType":"address[]","name":"","type":"address[]"}],"payable":False,"stateMutability":"view","type":"function"}]
)
@staticmethod
def AlastriaIdentityManager(endpoint: Web3) -> Contract:
# TODO get the ABI from autogenerated config
return endpoint.eth.contract(
abi=[{"constant":True,"inputs":[{"name":"","type":"address"}],"name":"identityKeys","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"_identityIssuer","type":"address"}],"name":"getEidasLevel","outputs":[{"name":"","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_identityServiceProvider","type":"address"}],"name":"addIdentityServiceProvider","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_url_logo","type":"string"}],"name":"setUrlLogo","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"newOwner","type":"address"}],"name":"transfer","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_cif","type":"string"}],"name":"setCifEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"}],"name":"pendingIDs","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"addr","type":"address"}],"name":"isOwner","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_identityServiceProvider","type":"address"}],"name":"deleteIdentityServiceProvider","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"alastriaPresentationRegistry","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_identityIssuer","type":"address"},{"name":"_level","type":"uint8"}],"name":"updateIdentityIssuerEidasLevel","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_signAddress","type":"address"}],"name":"prepareAlastriaID","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_url_createAID","type":"string"}],"name":"setUrlCreateAID","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"version","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_destination","type":"address"},{"name":"_value","type":"uint256"},{"name":"_data","type":"bytes"}],"name":"delegateCall","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"_identityIssuer","type":"address"}],"name":"isIdentityIssuer","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"addPublicKeyCallData","type":"bytes"}],"name":"createAlastriaIdentity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"entitiesList","outputs":[{"name":"","type":"address[]"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"_addressEntity","type":"address"}],"name":"getEntity","outputs":[{"name":"_name","type":"string"},{"name":"_cif","type":"string"},{"name":"_url_logo","type":"string"},{"name":"_url_createAID","type":"string"},{"name":"_url_AOA","type":"string"},{"name":"_active","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_identityIssuer","type":"address"},{"name":"_level","type":"uint8"}],"name":"addIdentityIssuer","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"owner","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_url_AOA","type":"string"}],"name":"setUrlAOA","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_name","type":"string"},{"name":"_cif","type":"string"},{"name":"_url_logo","type":"string"},{"name":"_url_createAID","type":"string"},{"name":"_url_AOA","type":"string"},{"name":"_active","type":"bool"}],"name":"addEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"accountLost","type":"address"},{"name":"newAccount","type":"address"}],"name":"recoverAccount","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"_identityIssuer","type":"address"}],"name":"deleteIdentityIssuer","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"_identityServiceProvider","type":"address"}],"name":"isIdentityServiceProvider","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"alastriaCredentialRegistry","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"_addressEntity","type":"address"},{"name":"_name","type":"string"}],"name":"setNameEntity","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"alastriaPublicKeyRegistry","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"inputs":[{"name":"_version","type":"uint256"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":True,"name":"signAddress","type":"address"}],"name":"PreparedAlastriaID","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"method","type":"string"}],"name":"OperationWasNotSupported","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"identity","type":"address"},{"indexed":True,"name":"creator","type":"address"},{"indexed":False,"name":"owner","type":"address"}],"name":"IdentityCreated","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"oldAccount","type":"address"},{"indexed":False,"name":"newAccount","type":"address"},{"indexed":True,"name":"serviceProvider","type":"address"}],"name":"IdentityRecovered","type":"event"}]
)
@staticmethod
def AlastriaPublicKeyRegistry(endpoint: Web3) -> Contract:
# TODO get the ABI from autogenerated config
return endpoint.eth.contract(
abi=[{"constant":True,"inputs":[{"name":"subject","type":"address"},{"name":"publicKey","type":"bytes32"}],"name":"getPublicKeyStatus","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"},{"name":"startDate","type":"uint256"},{"name":"endDate","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"subject","type":"address"}],"name":"getCurrentPublicKey","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"publicKey","type":"string"}],"name":"deletePublicKey","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"publicKey","type":"string"}],"name":"addKey","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"version","outputs":[{"name":"","type":"int256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"previousPublishedVersion","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"uint256"}],"name":"publicKeyList","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"publicKey","type":"string"}],"name":"revokePublicKey","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"inputs":[{"name":"_previousPublishedVersion","type":"address"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":False,"name":"publicKey","type":"string"}],"name":"PublicKeyDeleted","type":"event"},{"anonymous":False,"inputs":[{"indexed":False,"name":"publicKey","type":"string"}],"name":"PublicKeyRevoked","type":"event"}]
)
@staticmethod
def AlastriaCredentialRegistry(endpoint: Web3) -> Contract:
# TODO get the ABI from autogenerated config
return endpoint.eth.contract(
abi=[{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"uint256"}],"name":"issuerCredentialList","outputs":[{"name":"","type":"bytes32"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"subject","type":"address"}],"name":"getSubjectCredentialList","outputs":[{"name":"","type":"uint256"},{"name":"","type":"bytes32[]"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"version","outputs":[{"name":"","type":"int256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"subject","type":"address"},{"name":"subjectCredentialHash","type":"bytes32"}],"name":"getSubjectCredentialStatus","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"subjectStatus","type":"uint8"},{"name":"issuerStatus","type":"uint8"}],"name":"getCredentialStatus","outputs":[{"name":"","type":"uint8"}],"payable":False,"stateMutability":"pure","type":"function"},{"constant":True,"inputs":[],"name":"previousPublishedVersion","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"bytes32"}],"name":"subjectCredentialRegistry","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"},{"name":"URI","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"issuer","type":"address"},{"name":"issuerCredentialHash","type":"bytes32"}],"name":"getIssuerCredentialStatus","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"uint256"}],"name":"subjectCredentialList","outputs":[{"name":"","type":"bytes32"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"issuerCredentialHash","type":"bytes32"}],"name":"addIssuerCredential","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"issuerCredentialHash","type":"bytes32"},{"name":"status","type":"uint8"}],"name":"updateCredentialStatus","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"subjectCredentialHash","type":"bytes32"}],"name":"deleteSubjectCredential","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"subjectCredentialHash","type":"bytes32"},{"name":"URI","type":"string"}],"name":"addSubjectCredential","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"inputs":[{"name":"_previousPublishedVersion","type":"address"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":False,"name":"subjectCredentialHash","type":"bytes32"}],"name":"SubjectCredentialDeleted","type":"event"},{"anonymous":False,"inputs":[{"indexed":False,"name":"issuerCredentialHash","type":"bytes32"},{"indexed":False,"name":"status","type":"uint8"}],"name":"IssuerCredentialRevoked","type":"event"}]
)
@staticmethod
def AlastriaPresentationRegistry(endpoint: Web3) -> Contract:
# TODO get the ABI from autogenerated config
return endpoint.eth.contract(
abi=[{"constant":True,"inputs":[{"name":"subjectStatus","type":"uint8"},{"name":"receiverStatus","type":"uint8"}],"name":"getPresentationStatus","outputs":[{"name":"","type":"uint8"}],"payable":False,"stateMutability":"pure","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"bytes32"}],"name":"subjectPresentationRegistry","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"},{"name":"URI","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"receiverPresentationHash","type":"bytes32"},{"name":"status","type":"uint8"}],"name":"updateReceiverPresentation","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"subjectPresentationHash","type":"bytes32"},{"name":"URI","type":"string"}],"name":"addSubjectPresentation","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"subject","type":"address"},{"name":"subjectPresentationHash","type":"bytes32"}],"name":"getSubjectPresentationStatus","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"version","outputs":[{"name":"","type":"int256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"previousPublishedVersion","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"receiver","type":"address"},{"name":"receiverPresentationHash","type":"bytes32"}],"name":"getReceiverPresentationStatus","outputs":[{"name":"exists","type":"bool"},{"name":"status","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"subject","type":"address"}],"name":"getSubjectPresentationList","outputs":[{"name":"","type":"uint256"},{"name":"","type":"bytes32[]"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"","type":"address"},{"name":"","type":"uint256"}],"name":"subjectPresentationListRegistry","outputs":[{"name":"","type":"bytes32"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"subjectPresentationHash","type":"bytes32"},{"name":"status","type":"uint8"}],"name":"updateSubjectPresentation","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"inputs":[{"name":"_previousPublishedVersion","type":"address"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":False,"name":"hash","type":"bytes32"},{"indexed":False,"name":"status","type":"uint8"}],"name":"PresentationUpdated","type":"event"}]
)
| 430.022727
| 6,734
| 0.674859
| 1,818
| 18,921
| 6.972497
| 0.088559
| 0.070054
| 0.157621
| 0.107999
| 0.828653
| 0.79828
| 0.790549
| 0.772562
| 0.749606
| 0.735879
| 0
| 0.010978
| 0.017864
| 18,921
| 43
| 6,735
| 440.023256
| 0.671151
| 0.01131
| 0
| 0.3125
| 0
| 0
| 0.598471
| 0.067964
| 0
| 0
| 0.008983
| 0.023256
| 0
| 1
| 0.15625
| false
| 0
| 0.0625
| 0.15625
| 0.40625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 10
|
e02cc845d08bd7359c4969dc11c28e539667641a
| 25,613
|
py
|
Python
|
data_processing/AWG_and_Alazar/old/Quick3StateProcess.py
|
PITT-HATLAB/data_processing
|
ad49bb921e0fc90b90f0b696e2cbb662019f5f40
|
[
"MIT"
] | null | null | null |
data_processing/AWG_and_Alazar/old/Quick3StateProcess.py
|
PITT-HATLAB/data_processing
|
ad49bb921e0fc90b90f0b696e2cbb662019f5f40
|
[
"MIT"
] | null | null | null |
data_processing/AWG_and_Alazar/old/Quick3StateProcess.py
|
PITT-HATLAB/data_processing
|
ad49bb921e0fc90b90f0b696e2cbb662019f5f40
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 14 11:11:55 2022
@author: Hatlab-RRK
Purpose: create a neat, almost-executable file that can quickly plot a 3-state pulse file, and have the option to do just histograms,
or additionally try to fit using majority vote and give classification accuracy
"""
from data_processing.AWG_and_Alazar.Pulse_Processing_utils import extract_3pulse_histogram_from_filepath, extract_3pulse_noise_from_filepath, plot_stats_from_filepath, plot_custom_stats_from_filepath
import os
import matplotlib.pyplot as plt
plt.style.use('hatlab')
import numpy as np
#histogram plotting
# datapath = r'Z:\Data\N25_L3_SQ\BP1\loopback_after_rebuild_2\2022-05-05_0002_test1_Rep_0__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0001_amp_onoff_-90_Amp_0__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0002_amp_onoff_-90_Amp_1__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0003_amp_onoff_-120_Amp_0__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0004_amp_onoff_-120_Amp_1__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0005_amp_onoff_-120_Amp_0__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_tests_0.4mA\2022-05-05_0006_amp_onoff_-120_Amp_1__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA\2022-05-05_0006_amp_onoff_-100_higher_range_Amp_1__.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA/2022-05-05_0003_amp_onoff_-100_higher_range_Amp_0__.ddh5'
#now trying to see saturation
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA\2022-05-05_0002_amp_onoff_-100_Amp_1__.ddh5'
datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA\2022-05-05_0009_amp_onoff_-80_high_pwr_var_Rep_0__.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep/2022-05-05_0008_pwr_sweep_30dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep/2022-05-05_0018_pwr_sweep_30dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep/2022-05-05_0050_pwr_sweep_30dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep/2022-05-05_0060_pwr_sweep_30dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0046_pwr_sweep_20dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0056_pwr_sweep_20dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_sweep_even_higher_pwr\2022-05-05_0006_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0028_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0056_pwr_sweep_20dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0001_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0004_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0014_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0029_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5'
datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_sweep_0dB_att\2022-05-05_0002_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.15_V_.ddh5'
datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_sweep_0dB_att\2022-05-05_0006_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.5_V_.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_sweep_0dB_att\2022-05-05_0064_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0039_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.05_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0048_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0052_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.95_V_.ddh5'
#
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_farther_detuned\2022-05-05_0001_amp_onoff_-110_Amp_0__.ddh5'
# datapath = r'Z:\Data\N25_L3_SQ\BP1\amp_saturation_0.4mA_farther_detuned\2022-05-05_0002_amp_onoff_-110_Amp_1__.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0013_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.45_V_.ddh5'
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0005_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.45_V_.ddh5'
#this one looks like a Poisson distribution
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep/2022-05-05_0010_pwr_sweep_30dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
#this is those SAME settings, but with the amplifier on
datapath = r''
#10dB more power
#amp_off
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0001_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0006_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
#amp on
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0006_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
#higher power
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep/2022-05-05_0018_pwr_sweep_30dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5'
# datapath = r"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0001_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5"
datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0001_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5'
#
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0002_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.15_V_.ddh5'
#reduce detuning
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0016_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.15_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0003_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.25_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0006_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5'
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0010_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.95_V_.ddh5'
#amp off high power
# datapath = r'Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_even_higher_pwr/2022-05-05_0010_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.95_V_.ddh5'
# print(datapath)
nr = 7686
# #%%
# print(datapath)
# fid = extract_3pulse_histogram_from_filepath(datapath, plot = True, hist_scale = 0.01, numRecords = nr, numRecordsUsed = 400, IQ_offset = (0,0), fit = False, lpf = True, lpf_wc = 50e6, boxcar = True, bc_window = [50, 150], record_track = False, tuneup_plots = False, debug = False, tstart_index = 0, tstop_index = -1)
#%%
# print(datapath)
# fid = extract_3pulse_histogram_from_filepath(datapath, figscale = 1.2, plot = True, hist_scale = 0.0006, numRecords = nr, rec_start = 0, rec_stop = 2500, IQ_offset = (0,0), fit = False, lpf = False, lpf_wc = 50e6, boxcar = False, bc_window = [80, 100], record_track = False, tuneup_plots = False, debug = False, tstart_index = 60 , tstop_index = 120, phase_correction_rate = 0.0000, guess = 1)
tstart = 50
tstop = 150
fid = extract_3pulse_histogram_from_filepath(datapath, figscale = 1.2, plot = True, hist_scale = 0.003, numRecords = nr, rec_start = 1, rec_stop = 7686, rec_skip = 1, IQ_offset = (0,0), fit = 0, lpf = 0, lpf_wc = 15e6, boxcar = False, bc_window = [tstart, tstop], record_track = False, tuneup_plots = False, debug = False, tstart_index = tstart , tstop_index = tstop, phase_correction_rate = 0.0000, guess = 1)
print(fid)
#%%custom stats
for trace in [0,1,2]:
Pvar, Pvar_fit, Pavg, Ivar, Qvar = plot_custom_stats_from_filepath(datapath, debug = True, trace = trace, fit = 0, timeslice = 58)
print("Variance (numpy):", Pvar, "\nVariance (fit): ", Pvar_fit, "\nAverage: ", Pavg)
#%%old stats
plot_stats_from_filepath(datapath, plt_avg = 0, plt_var = 1, vscale = 100, plot = 1)
#%%
file_arr_amp_off = [
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0014_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0001_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0002_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0003_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0004_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0005_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0006_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0007_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0008_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0009_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0010_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0011_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0012_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_higher_pwr/2022-05-05_0013_pwr_sweep_20dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.25_V_.ddh5"
]
file_arr_amp_on = [
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0014_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0001_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0002_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0003_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0004_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0005_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0006_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0007_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0008_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0009_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0010_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0011_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0012_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_20dB_att/2022-05-05_0013_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.25_V_.ddh5"
]
Pvar_arr, Pvar_fit_arr, Pavg_arr, Ivar_arr, Qvar_arr = [],[],[],[],[]
for fp in file_arr_amp_off:
Pvar, Pvar_fit, Pavg, Ivar, Qvar = plot_custom_stats_from_filepath(fp, debug = True, trace = 0)
# print("Variance (numpy):", Pvar, "\nVariance (fit): ", Pvar_fit, "\nAverage: ", Pavg)
Pvar_arr.append(Pvar)
Pvar_fit_arr.append(Pvar_fit)
Pavg_arr.append(Pavg)
Ivar_arr.append(Ivar)
Qvar_arr.append(Qvar)
#%%
plt.plot(Pavg_arr, Ivar_arr, '.')
plt.plot(Pavg_arr, Qvar_arr, '.')
# plt.plot(Pavg_arr, Pvar_arr, '.', label = 'numpy variance')
# plt.plot(Pavg_arr, Pvar_fit_arr, '.', label = 'fit_variance')
# plt.xlim(0, 0.04)
# plt.ylim(0, 0.0031)
plt.legend()
#%%
pwr_file_arr = [
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0022_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0009_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0010_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0011_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0012_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0013_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0014_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0015_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0016_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0017_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0018_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0019_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0020_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0021_pwr_sweep_0dB_att_pump_pwr_9.76_dBm_LO_freq_5914000000.0_Hz_Sig_Volt_1.25_V_.ddh5"
]
pwr_file_arr = [
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0051_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0052_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0053_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0054_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0055_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0056_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0057_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0058_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0059_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0060_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0061_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0062_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0063_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_saturation_0.4mA_sweep_0dB_att/2022-05-05_0064_pwr_sweep_0dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5"
]
pwr_file_arr = [
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0028_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0015_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0016_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0017_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0018_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0019_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0020_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0021_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0022_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0023_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0024_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0025_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0026_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0027_pwr_sweep_10dB_att_pump_pwr_9.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.25_V_.ddh5"
]
pwr_file_arr = [
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0056_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0043_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0044_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0045_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.25_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0046_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.35_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0047_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.45_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0048_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.55_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0049_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.65_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0050_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.75_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0051_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.85_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0052_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_0.95_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0053_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.05_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0054_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.15_V_.ddh5",
"Z:/Data/N25_L3_SQ/BP1/amp_was_actually_off/amp_saturation_0.4mA_sweep_even_higher_pwr/2022-05-05_0055_pwr_sweep_10dB_att_pump_pwr_10.76_dBm_LO_freq_5917000000.0_Hz_Sig_Volt_1.25_V_.ddh5"
]
Gvar_arr, Evar_arr, Fvar_arr = [],[],[]
Gavg_arr, Eavg_arr, Favg_arr = [],[],[]
for i, fp in enumerate(pwr_file_arr):
print(i, fp)
[Gvar,Gavg], [Evar,Eavg], [Fvar,Favg] = plot_stats_from_filepath(fp, vscale = 1, plot = 0)
Gvar_arr.append(Gvar)
Evar_arr.append(Evar)
Fvar_arr.append(Fvar)
Gavg_arr.append(Gavg)
Eavg_arr.append(Eavg)
Favg_arr.append(Favg)
#%%
plt.plot(np.array(Gavg_arr),np.array(Gvar_arr), '.')
| 93.138182
| 410
| 0.860227
| 5,521
| 25,613
| 3.371128
| 0.051621
| 0.035192
| 0.056308
| 0.070385
| 0.905599
| 0.897647
| 0.883946
| 0.878466
| 0.872179
| 0.868365
| 0
| 0.201483
| 0.036349
| 25,613
| 275
| 411
| 93.138182
| 0.552589
| 0.20556
| 0
| 0.051613
| 0
| 0.677419
| 0.860185
| 0.857474
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025806
| 0
| 0.025806
| 0.019355
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
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| 0
| 0
|
0
| 10
|
e06be6bc35d880acc32e9542139aac8505ea92e4
| 51,466
|
py
|
Python
|
envcopy.py
|
chuiyangmeng96/GNN_DRL_Cache
|
5e34b2933c5fcc428f18d391fc555c38041a53a3
|
[
"MIT"
] | 1
|
2022-03-21T14:25:15.000Z
|
2022-03-21T14:25:15.000Z
|
envcopy.py
|
chuiyangmeng96/GNN_DRL_Cache
|
5e34b2933c5fcc428f18d391fc555c38041a53a3
|
[
"MIT"
] | 1
|
2021-08-11T10:07:12.000Z
|
2021-08-11T10:07:12.000Z
|
envcopy.py
|
chuiyangmeng96/GNN_DRL_Cache
|
5e34b2933c5fcc428f18d391fc555c38041a53a3
|
[
"MIT"
] | null | null | null |
import numpy as np
import math
import time
import random
class Environ:
def __init__(self):
self.length = 500
self.vehicle_num = 500
self.RSU_num = 4
self.RSUposition = np.array([[250, 0], [-250, 0], [0, -250], [0, 250]])
self.MBSposition = np.array([0, 0])
self.delta_int = 0.002
self.T_wait = 2
self.P_wait = 0.8
self.dis_thresh = 100 # threshold of distance for different content request probability
self.v = 60 / 3.6 # velocity m/s
self.time_delta = 1.5 # time step
self.gammaV = 100 # V2V threshold
self.gammaR = 560 # V2R threshold
self.z = None # popularity for each content
self.z1 = 1.1 # popularity for inner circle vehicles
self.z2 = 1.3 # popularity for outer circle vehicles
self.z3 = 1.5 # popularity for all RSUs'
self.content_num = 50 # content number
self.max_cacheV = 600 # total 20 vehicles caching capability 12000MB = 12GB, each 600MB, max 3 contents
self.max_cacheR = 2e3 # total 4 RSUs caching capability 8000MB = 8GB, each 2GB, max 10 contents
self.content_size = 200 # each content size = 200MB
self.request_arr_V = np.zeros((self.vehicle_num, self.content_num)) # request array for each vehicle and each file
self.request_arr_R = np.zeros((self.RSU_num, self.content_num)) # request array for each RSU and each file
self.content_label_V = np.zeros((self.vehicle_num, int(self.max_cacheV / self.content_size))) # vehicle caching content array
self.content_label_R = np.zeros((self.vehicle_num, int(self.max_cacheR / self.content_size))) # RSU caching content array
self.candidateV = np.zeros((self.vehicle_num, self.vehicle_num)) # matrix stores dis between vehicles
self.candidateR = np.zeros((self.vehicle_num, self.RSU_num)) # matrix stores dis between vehicles and RSUs
# self.loop = 0 # need modification
self.band_V2V = 5e6 # bandwidth 5MHz
self.p_k = pow(10, 24 / 10) # transmission power 24dBm to mW
self.sigma_2 = pow(10, -11) # noise power mW
self.alpha = 2 # path loss exponent
self.h_ik = 0.16 # channel gain 都是0.16
self.band_V2R = 1e7 # bandwidth 10MHz
self.bij = 1e7 # allocated bandwidth
self.p_j = pow(10, 36 / 10) # transmission power 36dBm to mW
self.h_ij = 0.16 # channel gain
# self.h_ij_total = # total channel gain 不考虑干扰问题
self.band_V2I = 2e7 # V2I bandwidth 20MHz
self.W = 10 # number of sub-carriers
self.p_m = pow(10, 43 / 10) # transmission power 43dBM to mW
self.h_i0 = 0.16 # channel gain
self.position = np.zeros((self.vehicle_num, 4))
def add_vehicle_pos(self):
position = np.zeros((self.vehicle_num, 4))
for i in range(self.vehicle_num):
ind = np.random.rand(1)
if ind < 1 / 12:
position[i][0] = np.random.randint(-self.length + 1, 0)
position[i][1] = self.length - 1
elif 1 / 12 < ind < 2 / 12:
position[i][0] = np.random.randint(0, self.length)
position[i][1] = self.length - 1
elif 2 / 12 < ind < 3 / 12:
position[i][0] = -(self.length - 1)
position[i][1] = np.random.randint(0, self.length)
elif 3 / 12 < ind < 4 / 12:
position[i][0] = 0
position[i][1] = np.random.randint(0, self.length)
elif 4 / 12 < ind < 5 / 12:
position[i][0] = self.length - 1
position[i][1] = np.random.randint(0, self.length)
elif 5 / 12 < ind < 6 / 12:
position[i][0] = np.random.randint(-self.length + 1, 0)
position[i][1] = 0
elif 6 / 12 < ind < 7 / 12:
position[i][0] = np.random.randint(0, self.length)
position[i][1] = 0
elif 7 / 12 < ind < 8 / 12:
position[i][0] = -(self.length - 1)
position[i][1] = np.random.randint(-self.length + 1, 0)
elif 8 / 12 < ind < 9 / 12:
position[i][0] = 0
position[i][1] = np.random.randint(-self.length + 1, 0)
elif 9 / 12 < ind < 10 / 12:
position[i][0] = self.length - 1
position[i][1] = np.random.randint(-self.length + 1, 0)
elif 10 / 12 < ind < 11 / 12:
position[i][0] = np.random.randint(-self.length + 1, 0)
position[i][1] = -(self.length - 1)
else:
position[i][0] = np.random.randint(0, self.length)
position[i][1] = -(self.length - 1)
self.position = position
return self.position
def update_position(self, obs_step):
P_eta = 2 / (2 + self.T_wait * self.P_wait * self.delta_int * self.v) # moving probability
for i in range(self.vehicle_num):
if self.position[i][3] == obs_step:
# initial EAST
# head EAST with intersection at y=0 axis
if self.position[i][2] == 0 and self.position[i][1] == 0 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 0.25: # proceed EAST
self.position[i][2] = 0
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
elif 0.25 < direct_dice < 0.5: # change WEST
self.position[i][2] = 1
self.position[i][0] = -(self.position[i][0] + self.time_delta * self.v)
elif 0.5 < direct_dice < 0.75: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = -(self.position[i][0] + self.time_delta * self.v)
self.position[i][0] = 0
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = self.position[i][0] + self.time_delta * self.v
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head EAST no intersection at y=0 axis
elif self.position[i][2] == 0 and self.position[i][1] == 0 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
if self.position[i][0] > self.length - 1: # out of bound ### NEED MODIFICATION
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # U turn WEST
self.position[i][2] = 1
self.position[i][0] = 2 * (self.length - 1) - self.position[i][0]
elif 1 / 3 < direct_dice < 2 / 3: # change NORTH
self.position[i][2] = 3
self.position[i][1] = self.position[i][0] - (self.length - 1)
self.position[i][0] = self.length - 1
else: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = (self.length - 1) - self.position[i][0]
self.position[i][0] = self.length - 1
else: # stop at intersection
self.position[i][0] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head EAST with intersection at y = self.length-1 axis
elif self.position[i][2] == 0 and self.position[i][1] == (self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # proceed EAST
self.position[i][2] = 0
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
elif 1 / 3 < direct_dice < 2 / 3: # change WEST
self.position[i][2] = 1
self.position[i][0] = -(self.position[i][0] + self.time_delta * self.v)
else: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = (self.length - 1) - (
self.position[i][0] + self.time_delta * self.v)
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head EAST no intersection at y = self.length - 1 axis
elif self.position[i][2] == 0 and self.position[i][1] == (self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
if self.position[i][0] > self.length - 1: # out of bound
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at CORNER
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # U turn WEST
self.position[i][2] = 1
self.position[i][0] = 2 * (self.length - 1) - self.position[i][0]
else: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = 2 * (self.length - 1) - self.position[i][0]
self.position[i][0] = self.length - 1
else: # STOP at CORNER
self.position[i][0] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head EAST with intersection at y = -(self.length-1) axis
elif self.position[i][2] == 0 and self.position[i][1] == -(self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # proceed EAST
self.position[i][2] = 0
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
elif 1 / 3 < direct_dice < 2 / 3: # change WEST
self.position[i][2] = 1
self.position[i][0] = -(self.position[i][0] + self.time_delta * self.v)
else: # change NORTH
self.position[i][2] = 2
self.position[i][1] = -(self.length - 1) + (
self.position[i][0] + self.time_delta * self.v)
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head EAST no intersection at y = -(self.length-1) axis
elif self.position[i][2] == 0 and self.position[i][1] == -(self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] + self.time_delta * self.v
if self.position[i][0] > self.length - 1: # out of bound
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at CORNER
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # U turn WEST
self.position[i][2] = 1
self.position[i][0] = 2 * (self.length - 1) - self.position[i][0]
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -2 * (self.length - 1) + self.position[i][0]
self.position[i][0] = self.length - 1
else: # STOP at CORNER
self.position[i][0] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# intial WEST
# head WEST with intersection at y = 0 axis
if self.position[i][2] == 1 and self.position[i][1] == 0 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 0.25: # change EAST
self.position[i][2] = 0
self.position[i][0] = -self.position[i][0] + self.time_delta * self.v
elif 0.25 < direct_dice < 0.5: # proceed WEST
self.position[i][2] = 1
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
elif 0.5 < direct_dice < 0.75: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][0] - self.time_delta * self.v
self.position[i][0] = 0
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -self.position[i][0] + self.time_delta * self.v
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head WEST no intersection at y = 0 axis
elif self.position[i][2] == 1 and self.position[i][1] == 0 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
if self.position[i][0] < -(self.length - 1): # out of bound
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # U turn EAST
self.position[i][2] = 0
self.position[i][0] = 2 * (-self.length + 1) - self.position[i][0]
elif 1 / 3 < direct_dice < 2 / 3: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][0] + (self.length - 1)
self.position[i][0] = -(self.length - 1)
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -self.position[i][0] - (self.length - 1)
self.position[i][0] = -(self.length - 1)
else: # STOP at intersection
self.position[i][0] = -(self.length - 1)
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head WEST with intersection at y = self.length - 1 axis
elif self.position[i][2] == 1 and self.position[i][1] == self.length - 1 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = -self.position[i][0] + self.time_delta * self.v
elif 0.25 < direct_dice < 0.5: # proceed WEST
self.position[i][2] = 1
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
elif 0.5 < direct_dice < 0.75: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = (self.length - 1) + self.position[i][0] - self.time_delta * self.v
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head WEST no intersection at y = self.length - 1 axis
elif self.position[i][2] == 1 and self.position[i][1] == self.length - 1 and self.position[i][0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
if self.position[i][0] < -(self.length - 1): # out of bound at CORNER
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # U turn EAST
self.position[i][2] = 0
self.position[i][0] = 2 * (-self.length + 1) - self.position[i][0]
else: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][0] + 2 * (self.length - 1)
self.position[i][0] = -(self.length - 1)
else: # STOP at CORNER
self.position[i][0] = -(self.length - 1)
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head WEST with intersection at y = -(self.length - 1) axis
elif self.position[i][2] == 1 and self.position[i][1] == -(self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = -self.position[i][0] + self.time_delta * self.v
elif 1 / 3 < direct_dice < 2 / 3: # proceed WEST
self.position[i][2] = 1
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -(self.length - 1) + self.position[i][
0] - self.time_delta * self.v
self.position[i][0] = 0
else: # stop at intersection
self.position[i][0] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head WEST no intersection at y = -(self.length - 1) axis
elif self.position[i][2] == 1 and self.position[i][1] == -(self.length - 1) and self.position[i][
0] * (
self.position[i][0] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
if self.position[i][0] < -(self.length - 1): # out of bound at CORNER
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # U turn EAST
self.position[i][2] = 0
self.position[i][0] = 2 * (-self.length + 1) - self.position[i][0]
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = 2 * (-self.length + 1) + self.position[i][0]
self.position[i][0] = -(self.length - 1)
else: # STOP at CORNER
self.position[i][0] = -(self.length - 1)
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# intial SOUTH
# head SOUTH with intersection at x = 0 axis
if self.position[i][2] == 2 and self.position[i][0] == 0 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 0.25: # change EAST
self.position[i][2] = 0
self.position[i][0] = -self.position[i][1] + self.time_delta * self.v
self.position[i][1] = 0
elif 0.25 < direct_dice < 0.5: # change WEST
self.position[i][2] = 1
self.position[i][0] = self.position[i][0] - self.time_delta * self.v
self.position[i][1] = 0
elif 0.5 < direct_dice < 0.75: # proceed SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -self.position[i][1] + self.time_delta * self.v
else: # stop at intersection
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head SOUTH no intersection at x = 0 axis
elif self.position[i][2] == 2 and self.position[i][0] == 0 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
if self.position[i][1] < -self.length + 1: # out of bound
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = -(self.length - 1) - self.position[i][1]
self.position[i][1] = -(self.length - 1)
elif 1 / 3 < direct_dice < 2 / 3: # change SOUTH
self.position[i][2] = 2
self.position[i][0] = (self.length - 1) + self.position[i][1]
self.position[i][1] = -(self.length - 1)
else: # U turn to NORTH
self.position[i][2] = 3
self.position[i][1] = 2 * (-self.length + 1) - self.position[i][1]
else: # stop at intersection
self.position[i][1] = -(self.length - 1)
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head SOUTH with intersection at x = self.length - 1 axis
elif self.position[i][2] == 2 and self.position[i][0] == self.length - 1 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change WEST
self.position[i][2] = 1
self.position[i][0] = (self.length - 1) + self.position[i][0] - self.time_delta * self.v
self.position[i][1] = 0
elif 1 / 3 < direct_dice < 2 / 3: # proceed SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -self.position[i][1] + self.time_delta * self.v
else: # stop at intersection
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head SOUTH no intersection at x = self.length - 1 axis
elif self.position[i][2] == 2 and self.position[i][0] == self.length - 1 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
if self.position[i][1] < -self.length + 1: # out of bound at corner
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 0.5: # change WEST
self.position[i][2] = 1
self.position[i][0] = 2 * (self.length - 1) + self.position[i][1]
self.position[i][1] = -(self.length - 1)
else: # U turn to NORTH
self.position[i][2] = 3
self.position[i][1] = 2 * (-self.length + 1) - self.position[i][1]
# head SOUTH with intersection at x = -(self.length - 1) axis
elif self.position[i][2] == 2 and self.position[i][0] == -(self.length - 1) and self.position[i][
1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = -(self.length - 1) - (
self.position[i][0] - self.time_delta * self.v)
self.position[i][1] = 0
elif 1 / 3 < direct_dice < 2 / 3: # proceed SOUTH
self.position[i][2] = 2
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
else: # change NORTH
self.position[i][2] = 3
self.position[i][1] = -self.position[i][1] + self.time_delta * self.v
else: # stop at intersection
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head SOUTH no intersection at x = -(self.length - 1) axis
elif self.position[i][2] == 2 and self.position[i][0] == -(self.length - 1) and self.position[i][
1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] - self.time_delta * self.v
if self.position[i][1] < -self.length + 1: # out of bound at corner
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 0.5: # change EAST
self.position[i][2] = 0
self.position[i][0] = 2 * (-self.length + 1) - self.position[i][1]
self.position[i][1] = -(self.length - 1)
else: # U turn to NORTH
self.position[i][2] = 3
self.position[i][1] = 2 * (-self.length + 1) - self.position[i][1]
# intial NORTH
# head NORTH with intersection at x = 0 axis
if self.position[i][2] == 3 and self.position[i][0] == 0 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 0.25: # change EAST
self.position[i][2] = 0
self.position[i][0] = self.position[i][1] + self.time_delta * self.v
self.position[i][1] = 0
elif 0.25 < direct_dice < 0.5: # change WEST
self.position[i][2] = 1
self.position[i][0] = -(self.position[i][0] + self.time_delta * self.v)
self.position[i][1] = 0
elif 0.5 < direct_dice < 0.75: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = -(self.position[i][1] + self.time_delta * self.v)
else: # proceed NORTH
self.position[i][2] = 3
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
else: # stop at intersection
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head NORTH no intersection at x = 0 axis
elif self.position[i][2] == 3 and self.position[i][0] == 0 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
if self.position[i][1] > self.length - 1: # out of bound
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = self.position[i][1] - (self.length - 1)
self.position[i][1] = self.length - 1
elif 1 / 3 < direct_dice < 2 / 3: # change WEST
self.position[i][2] = 1
self.position[i][0] = -self.position[i][1] + (self.length - 1)
self.position[i][1] = self.length - 1
else: # U turn to SOUTH
self.position[i][2] = 2
self.position[i][1] = 2 * (self.length - 1) - self.position[i][1]
else: # stop at intersection
self.position[i][1] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head NORTH with intersection at x = self.length - 1 axis
elif self.position[i][2] == 3 and self.position[i][0] == self.length - 1 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change WEST
self.position[i][2] = 1
self.position[i][0] = (self.length - 1) - self.time_delta * self.v
self.position[i][1] = 0
elif 1 / 3 < direct_dice < 2 / 3: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = -(self.position[i][1] + self.time_delta * self.v)
else: # proceed NORTH
self.position[i][2] = 3
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
else:
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head NORTH no intersection at x = self.length - 1 axis
elif self.position[i][2] == 3 and self.position[i][0] == self.length - 1 and self.position[i][1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
if self.position[i][1] > self.length - 1: # out of bound at CORNER
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # change WEST
self.position[i][2] = 1
self.position[i][0] = 2 * (self.length - 1) - self.position[i][1]
self.position[i][1] = self.length - 1
else: # U turn to SOUTH
self.position[i][2] = 2
self.position[i][1] = 2 * (self.length - 1) - self.position[i][1]
else: # stop at intersection
self.position[i][1] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head NORTH with intersection at x = -(self.length - 1) axis
elif self.position[i][2] == 3 and self.position[i][0] == -(self.length - 1) and self.position[i][
1] * (
self.position[i][1] + self.time_delta * self.v) < 0:
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
self.position[i][3] = obs_step
direct_dice = np.random.rand(1)
if direct_dice < 1 / 3: # change EAST
self.position[i][2] = 0
self.position[i][0] = -(self.length - 1) + self.time_delta * self.v
self.position[i][1] = 0
elif 1 / 3 < direct_dice < 2 / 3: # change SOUTH
self.position[i][2] = 2
self.position[i][1] = -(self.position[i][1] + self.time_delta * self.v)
else: # proceed NORTH
self.position[i][2] = 3
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
else:
self.position[i][1] = 0
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
# head NORTH no intersection at x = self.length - 1 axis
elif self.position[i][2] == 3 and self.position[i][0] == -(self.length - 1) and self.position[i][
1] * (
self.position[i][1] + self.time_delta * self.v) > 0:
self.position[i][3] = obs_step
self.position[i][1] = self.position[i][1] + self.time_delta * self.v
if self.position[i][1] > self.length - 1: # out of bound at CORNER
stop_dice = np.random.rand(1)
if stop_dice < P_eta: # move at intersection
direct_dice = np.random.rand(1)
if direct_dice < 1 / 2: # change EAST
self.position[i][2] = 0
self.position[i][0] = -2 * (self.length - 1) + self.position[i][1]
self.position[i][1] = self.length - 1
else: # U turn to SOUTH
self.position[i][2] = 2
self.position[i][1] = 2 * (self.length - 1) - self.position[i][1]
else: # stop at intersection
self.position[i][1] = self.length - 1
self.position[i][3] = self.position[i][3] + 2 / 0.1 # 20 is average stop time/interval
return self.position
def cal_neighbor(self): # self,candidateV rewrite
# V2V, V2R distance calculation
for i in range(self.vehicle_num):
for j in range(self.vehicle_num):
temp_V = np.sqrt(np.sum(np.power((self.position[i, 0:2] - self.position[j, 0:2]), 2)))
if i != j and temp_V < self.gammaV:
self.candidateV[i][j] = temp_V
for k in range(self.RSU_num):
temp_R = np.sqrt(np.sum(np.power((self.position[i, 0:2] - self.RSUposition[k, 0:2]), 2)))
if temp_R < self.gammaR:
self.candidateR[i][k] = temp_R
return self.candidateV, self.candidateR
def content_request(self): # define different request probability in inner/outer circle for all Vehicles and RSUs
for i in range(self.vehicle_num): # for Vehicles
temp_request_arr = np.zeros((1, self.content_num))
if np.sqrt(np.sum(np.power(self.position[i, 0:2], 2))) < self.dis_thresh: # inner circle
self.z = self.z1
temp_content_deno = np.zeros(self.content_num)
for j in range(self.content_num):
temp_content_deno[j] = 1 / pow(j + 1, self.z) # begin at 0
content_deno = np.sum(temp_content_deno)
for j in range(self.content_num):
temp_request_arr[0][j] = temp_content_deno[j] / content_deno # begin at 0
self.request_arr_V[i, :] = temp_request_arr
else: # outer circle
self.z = self.z2
temp_content_deno = np.zeros(self.content_num)
for j in range(self.content_num):
temp_content_deno[j] = 1 / pow(j + 1, self.z) # begin at 0
content_deno = np.sum(temp_content_deno)
for j in range(self.content_num):
temp_request_arr[0][j] = temp_content_deno[j] / content_deno # begin at 0
self.request_arr_V[i, :] = temp_request_arr
for j in range(self.RSU_num): # for RSUs
temp_request_arr = np.zeros((1, self.content_num))
self.z = self.z3
temp_content_deno = np.zeros(self.content_num)
for i in range(self.content_num):
temp_content_deno[j] = 1 / pow(j + 1, self.z) # begin at 0
content_deno = np.sum(temp_content_deno)
for k in range(self.content_num):
temp_request_arr[0][j] = (1 / pow(k + 1, self.z)) / content_deno # begin at 0
self.request_arr_R[j, :] = temp_request_arr
return self.request_arr_V, self.request_arr_R
def caching_strategy(self): # define basic caching strategy with LRU
for i in range(self.vehicle_num): # Vehicle caching strategy
dice = np.random.rand(1)
if 0 < dice < self.request_arr_V[i][0]: # randomly request a content and its label
content_label = 0
else:
for j in range(1, self.content_num):
if self.request_arr_V[i][j - 1] < dice < self.request_arr_V[i][j]:
content_label = j
if content_label in self.content_label_V[i, :]: # case 1 requested content already in vehicle cache
content_label_index = list(self.content_label_V[i, :]).index(content_label)
if content_label_index != 0:
for j in range(content_label_index):
self.content_label_V[i][j + 1] = self.content_label_V[i][j]
self.content_label_V[i][0] = content_label
else: # requested content not in vehicle, enough/not enough (same case) space for storing new content
for j in range(self.max_cacheV / self.content_size):
self.content_label_V[i][j + 1] = self.content_label_V[i][j]
self.content_label_V[i][0] = content_label
# self.content_label_V[i][1] = self.content_label_V[i][0]
for i in range(self.RSU_num):
dice = np.random.rand(1)
if 0 < dice < self.request_arr_R[i][0]: # randomly request a content and its label
content_label = 0
else:
for j in range(1, self.content_num):
if self.request_arr_R[i][j - 1] < dice < self.request_arr_R[i][j]:
content_label = j
if content_label in self.content_label_R[i, :]: # case 1 requested content already in RSU cache
content_label_index = list(self.content_label_R[i, :]).index(content_label)
if content_label_index != 0:
for j in range(content_label_index):
self.content_label_R[i][j + 1] = self.content_label_R[i][j]
self.content_label_R[i][0] = content_label
else: # requested content not in RSU
# length = self.max_cacheR / self.content_size
for j in range(self.max_cacheR / self.content_size):
self.content_label_R[i][j + 1] = self.content_label_R[i][j]
self.content_label_R[i][0] = content_label
return self.content_label_V, self.content_label_R
def input(self): # combine as a state matrix
# section 1: neighboring vehicles
#global self, i, pos_dis, index_R
input_1 = np.zeros((self.vehicle_num, self.vehicle_num))
for i in range(self.vehicle_num):
connect_index_V = np.argwhere(self.candidateV[i, :] != 0)
for index in connect_index_V:
input_1[i][index] = 1
# section 2: transmission rate / delay
input_2 = np.zeros((self.vehicle_num, self.vehicle_num + self.RSU_num + 1))
for i in range(self.vehicle_num):
connect_index_V = np.argwhere(self.candidateV[i, :] != 0)
for index_V in connect_index_V:
input_2[i][index_V] = self.band_V2V * np.log2(1 + self.p_k * self.h_ik * pow(self.candidateV[i][index_V], -self.alpha) / self.sigma_2)
connect_index_R = np.argwhere(self.candidateR[i, :] != 0)
for index_R in connect_index_R:
input_2[i][self.vehicle_num + index_R] = self.bij * np.log2(1 + self.p_j * self.h_ij * pow(self.candidateR[i][index_R], -self.alpha) / self.sigma_2)
pos_dis = np.sqrt(np.sum(pow(self.position[i, 0:2], 2)))
input_2[i][self.vehicle_num + self.RSU_num] = self.band_V2I / self.W * np.log2(1 + self.p_m * self.h_i0 * pow(pos_dis, -self.alpha) / self.sigma_2)
# section 3: Vehicle cached contents
input_3 = np.array((self.vehicle_num, self.vehicle_num * self.content_num))
for i in range(self.vehicle_num):
for j in self.content_label_V[i, :]: # store self cache information
input_3[i][i * self.content_num + j] = 1
connect_index_V = np.argwhere(self.candidateV[i, :] != 0)
for index in connect_index_V: # store other vehicle information
#index = self.candidateV[index][1]
for j in self.content_label_V[index, :]:
input_3[i][index * self.content_num + j] = 1
# section 4: RSU cached contents
input_4 = np.array((self.vehicle_num, self.RSU_num * self.content_num))
for i in range(self.vehicle_num):
connect_index_R = np.argwhere(self.candidateR[:, 0] != 0)
for index in connect_index_R:
#index = self.candidateR[index][1]
for j in self.content_label_R[index, :]:
input_4[i][index * self.content_num + j] = 1
input_matrix = np.concatenate((input_1, input_2, input_3, input_4), axis=1)
return input_matrix
def V2V_rate(self, position_A, position_B): # achievable data rate
d_ik = np.sqrt(np.sum(np.power(position_A - position_B, 2)))
R_ki = self.band_V2V * np.log2(1 + self.p_k * self.h_ik * pow(d_ik, -self.alpha) / self.sigma_2)
return R_ki
def V2V_time(self, y_ikf, position_A, position_B): # delivery time
R_ki = self.V2V_rate(position_A, position_B)
return y_ikf * self.content_size / R_ki
def V2R_rate(self, position_A, position_B):
d_ij = np.sqrt(np.sum(np.power(position_A - position_B, 2)))
# total = np.sum(self.p_j .* ) # need modification
R_ji = self.bij * np.log2(1 + self.p_j * self.h_ij * pow(d_ij, -self.alpha) / self.sigma_2)
return R_ji
def V2R_time(self, y_ijf, position_A, position_B): # delivery time
R_ji = self.V2R_rate(position_A, position_B)
return y_ijf * self.content_size / R_ji
def V2I_rate(self, position_A):
d_i0 = np.sqrt(np.sum(np.power(position_A - self.MBSposition, 2)))
R_0i = self.band_V2I / self.W * np.log2(1 + self.p_m * self.h_i0 * pow(d_i0, -self.alpha) / self.sigma_2)
return R_0i
def V2I_time(self, y_i0f, position_A):
R_0i = self.V2I_rate(position_A)
return y_i0f * self.content_size / R_0i
def delay_func(self, y_ikf, y_ijf, y_i0f, x_if, x_jf): # x_if, x_jf need modification
# y_ikf, y_ijf, y_i0f, x_if, x_jf are ACTION SET
V2V_delay = np.zeros((self.vehicle_num, self.vehicle_num))
for num in range(self.vehicle_num):
for i in range(self.vehicle_num):
if self.candidateV[num][i] != 0:
position_A = self.position[num, 0:2]
position_B = self.position[i, 0:2]
T_ki = x_if * self.V2V_time(y_ikf, position_A, position_B)
V2V_delay[num][i] = T_ki
V2R_delay = np.zeros((self.vehicle_num, self.RSU_num))
for num in range(self.vehicle_num):
for j in range(self.RSU_num):
if self.candidateR[num][j] != 0:
#ind0 = self.candidateR[j][0]
#ind1 = self.candidateR[j][1]
position_A = self.position[num, 0:2]
position_B = self.RSUposition[j, 0:2]
T_ji = x_jf * self.V2R_time(y_ijf, position_A, position_B)
V2R_delay[num][j] = T_ji
V2I_delay = np.zeros((self.vehicle_num, 1))
for k in range(self.vehicle_num):
position_A = self.position[k, 0:2]
V2I_delay[k] = self.V2I_time(y_i0f, position_A)
total_delay = np.sum(V2V_delay, axis=1) + np.sum(V2R_delay, axis=1) + V2I_delay
return total_delay
| 61.709832
| 164
| 0.469766
| 6,574
| 51,466
| 3.574536
| 0.039702
| 0.186136
| 0.255585
| 0.094727
| 0.855483
| 0.844078
| 0.821439
| 0.796119
| 0.771565
| 0.75982
| 0
| 0.049678
| 0.411359
| 51,466
| 834
| 165
| 61.709832
| 0.725994
| 0.122702
| 0
| 0.729252
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.019048
| false
| 0
| 0.005442
| 0
| 0.043537
| 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
|
0eeb3d35a3c203ebc4e3a9d780cc42de6abeb580
| 37
|
py
|
Python
|
Codeforces Problems/Add Odd or Subtract Even/Add Odd or Subtract Even2.py
|
Social-CodePlat/Comptt-Coding-Solutions
|
240732e6c1a69e1124064bff4a27a5785a14b021
|
[
"MIT"
] | null | null | null |
Codeforces Problems/Add Odd or Subtract Even/Add Odd or Subtract Even2.py
|
Social-CodePlat/Comptt-Coding-Solutions
|
240732e6c1a69e1124064bff4a27a5785a14b021
|
[
"MIT"
] | 1
|
2020-10-13T20:57:34.000Z
|
2020-10-13T20:57:34.000Z
|
Codeforces Problems/Add Odd or Subtract Even/Add Odd or Subtract Even2.py
|
Social-CodePlat/Comptt-Coding-Solutions
|
240732e6c1a69e1124064bff4a27a5785a14b021
|
[
"MIT"
] | null | null | null |
b=13
print(b and((b<0)&b|(b>0)&~b)+1)
| 18.5
| 32
| 0.513514
| 12
| 37
| 1.583333
| 0.5
| 0.210526
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.054054
| 37
| 2
| 32
| 18.5
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 1
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
0eeed55faef0079dce70ac44f66df5f39a80bcdb
| 49,229
|
py
|
Python
|
test_autoarray/unit/structures/test_arrays.py
|
Sketos/PyAutoArray
|
72dc7e8d1c38786915f82a7e7284239e5ce87624
|
[
"MIT"
] | null | null | null |
test_autoarray/unit/structures/test_arrays.py
|
Sketos/PyAutoArray
|
72dc7e8d1c38786915f82a7e7284239e5ce87624
|
[
"MIT"
] | null | null | null |
test_autoarray/unit/structures/test_arrays.py
|
Sketos/PyAutoArray
|
72dc7e8d1c38786915f82a7e7284239e5ce87624
|
[
"MIT"
] | null | null | null |
import os
import numpy as np
import pytest
import shutil
import autoarray as aa
from autoarray.structures import arrays
from autoarray import exc
test_data_dir = "{}/../test_files/array/".format(
os.path.dirname(os.path.realpath(__file__))
)
class TestArrayAPI:
class TestManual:
def test__array__makes_array_without_other_inputs(self):
arr = aa.array.manual_2d(array=[[1.0, 2.0], [3.0, 4.0]])
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
arr = aa.array.manual_1d(array=[1.0, 2.0, 3.0, 4.0], shape_2d=(2, 2))
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape_2d=(2, 3), store_in_1d=True
)
assert type(arr) == arrays.Array
assert (arr == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])).all()
assert (arr.in_2d == np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])).all()
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape_2d=(2, 3), store_in_1d=False
)
assert type(arr) == arrays.Array
assert (arr == np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])).all()
assert (arr.in_2d == np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])).all()
def test__array__makes_array_with_pixel_scale(self):
arr = aa.array.manual_2d(array=[[1.0, 2.0], [3.0, 4.0]], pixel_scales=1.0)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0],
shape_2d=(2, 2),
pixel_scales=1.0,
origin=(0.0, 1.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
shape_2d=(2, 3),
pixel_scales=(2.0, 3.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])).all()
assert arr.pixel_scales == (2.0, 3.0)
assert arr.geometry.origin == (0.0, 0.0)
def test__array__makes_with_pixel_scale_and_sub_size(self):
arr = aa.array.manual_2d(
array=[[1.0, 2.0], [3.0, 4.0]], pixel_scales=1.0, sub_size=1
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 1
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0],
shape_2d=(1, 1),
pixel_scales=1.0,
sub_size=2,
origin=(0.0, 1.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 2
arr = aa.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],
shape_2d=(2, 1),
pixel_scales=2.0,
sub_size=2,
)
assert type(arr) == arrays.Array
assert (
arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]])
).all()
assert (
arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])
).all()
assert (arr.in_2d_binned == np.array([[2.5], [6.5]])).all()
assert (arr.in_1d_binned == np.array([2.5, 6.5])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
class TestFull:
def test__array__makes_array_without_other_inputs(self):
arr = aa.array.full(fill_value=1.0, shape_2d=(2, 2))
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
arr = aa.array.full(fill_value=2.0, shape_2d=(2, 2), store_in_1d=True)
assert type(arr) == arrays.Array
assert (arr == np.array([2.0, 2.0, 2.0, 2.0])).all()
assert (arr.in_2d == np.array([[2.0, 2.0], [2.0, 2.0]])).all()
assert (arr.in_1d == np.array([2.0, 2.0, 2.0, 2.0])).all()
arr = aa.array.full(fill_value=2.0, shape_2d=(2, 2), store_in_1d=False)
assert type(arr) == arrays.Array
assert (arr == np.array([[2.0, 2.0], [2.0, 2.0]])).all()
assert (arr.in_2d == np.array([[2.0, 2.0], [2.0, 2.0]])).all()
assert (arr.in_1d == np.array([2.0, 2.0, 2.0, 2.0])).all()
def test__array__makes_scaled_array_with_pixel_scale(self):
arr = aa.array.full(fill_value=1.0, shape_2d=(2, 2), pixel_scales=1.0)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
arr = aa.array.full(
fill_value=2.0, shape_2d=(2, 2), pixel_scales=1.0, origin=(0.0, 1.0)
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[2.0, 2.0], [2.0, 2.0]])).all()
assert (arr.in_1d == np.array([2.0, 2.0, 2.0, 2.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
def test__array__makes_scaled_sub_array_with_pixel_scale_and_sub_size(self):
arr = aa.array.full(
fill_value=1.0, shape_2d=(1, 4), pixel_scales=1.0, sub_size=1
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0, 1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 1
arr = aa.array.full(
fill_value=2.0,
shape_2d=(1, 1),
pixel_scales=1.0,
sub_size=2,
origin=(0.0, 1.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[2.0, 2.0], [2.0, 2.0]])).all()
assert (arr.in_1d == np.array([2.0, 2.0, 2.0, 2.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 2
class TestOnesZeros:
def test__array__makes_array_without_other_inputs(self):
arr = aa.array.ones(shape_2d=(2, 2))
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
arr = aa.array.zeros(shape_2d=(2, 2), store_in_1d=True)
assert type(arr) == arrays.Array
assert (arr == np.array([0.0, 0.0, 0.0, 0.0])).all()
assert (arr.in_2d == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_1d == np.array([0.0, 0.0, 0.0, 0.0])).all()
arr = aa.array.zeros(shape_2d=(2, 2), store_in_1d=False)
assert type(arr) == arrays.Array
assert (arr == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_2d == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_1d == np.array([0.0, 0.0, 0.0, 0.0])).all()
def test__array__makes_scaled_array_with_pixel_scale(self):
arr = aa.array.ones(shape_2d=(2, 2), pixel_scales=1.0)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
arr = aa.array.zeros(shape_2d=(2, 2), pixel_scales=1.0, origin=(0.0, 1.0))
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_1d == np.array([0.0, 0.0, 0.0, 0.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
def test__array__makes_scaled_sub_array_with_pixel_scale_and_sub_size(self):
arr = aa.array.ones(shape_2d=(1, 4), pixel_scales=1.0, sub_size=1)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0, 1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 1
arr = aa.array.zeros(
shape_2d=(1, 1), pixel_scales=1.0, sub_size=2, origin=(0.0, 1.0)
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_1d == np.array([0.0, 0.0, 0.0, 0.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 2
class TestFromFits:
def test__array__makes_array_without_other_inputs(self):
arr = aa.array.from_fits(file_path=test_data_dir + "3x3_ones.fits", hdu=0)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d == np.ones(9)).all()
arr = aa.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits", hdu=0, store_in_1d=True
)
assert type(arr) == arrays.Array
assert (arr == np.ones((12,))).all()
assert (arr.in_2d == np.ones((4, 3))).all()
assert (arr.in_1d == np.ones((12,))).all()
arr = aa.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits", hdu=0, store_in_1d=False
)
assert type(arr) == arrays.Array
assert (arr == np.ones((4, 3))).all()
assert (arr.in_2d == np.ones((4, 3))).all()
assert (arr.in_1d == np.ones((12,))).all()
def test__array__makes_scaled_array_with_pixel_scale(self):
arr = aa.array.from_fits(
file_path=test_data_dir + "3x3_ones.fits", hdu=0, pixel_scales=1.0
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d == np.ones(9)).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
arr = aa.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits",
hdu=0,
pixel_scales=1.0,
origin=(0.0, 1.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((4, 3))).all()
assert (arr.in_1d == np.ones((12,))).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
def test__array__makes_scaled_sub_array_with_pixel_scale_and_sub_size(self):
arr = aa.array.from_fits(
file_path=test_data_dir + "3x3_ones.fits",
hdu=0,
pixel_scales=1.0,
sub_size=1,
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d == np.ones(9)).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 1
arr = aa.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits",
hdu=0,
pixel_scales=1.0,
sub_size=1,
origin=(0.0, 1.0),
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((4, 3))).all()
assert (arr.in_1d == np.ones(12)).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 1
class TestMaskedArrayAPI:
class TestManual:
def test__array__makes_array_with_pixel_scale(self):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0)
arr = aa.masked.array.manual_2d(array=[[1.0, 2.0], [3.0, 4.0]], mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]],
pixel_scales=1.0,
origin=(0.0, 1.0),
)
arr = aa.masked.array.manual_1d(array=[1.0, 2.0, 4.0], mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [0.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]],
pixel_scales=1.0,
origin=(0.0, 1.0),
)
arr = aa.masked.array.manual_2d(array=[[1.0, 2.0], [3.0, 4.0]], mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 2.0], [0.0, 4.0]])).all()
assert (arr.in_1d == np.array([1.0, 2.0, 4.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
mask = aa.mask.manual(
mask_2d=[[False], [True]], pixel_scales=2.0, sub_size=2
)
arr = aa.masked.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0], mask=mask, store_in_1d=True
)
assert type(arr) == arrays.Array
assert (arr == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert (
arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert (arr.in_2d_binned == np.array([[2.5], [0.0]])).all()
assert (arr.in_1d_binned == np.array([2.5])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
arr = aa.masked.array.manual_1d(
array=[1.0, 2.0, 3.0, 4.0], mask=mask, store_in_1d=False
)
assert type(arr) == arrays.Array
assert (
arr == np.array([[1.0, 2.0], [3.0, 4.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (
arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0])).all()
assert (arr.in_2d_binned == np.array([[2.5], [0.0]])).all()
assert (arr.in_1d_binned == np.array([2.5])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
def test__manual_2d__exception_raised_if_input_array_is_2d_and_not_sub_shape_of_mask(
self
):
with pytest.raises(exc.ArrayException):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0, sub_size=1)
aa.masked.array.manual_2d(array=[[1.0], [3.0]], mask=mask)
with pytest.raises(exc.ArrayException):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0, sub_size=2)
aa.masked.array.manual_2d(array=[[1.0, 2.0], [3.0, 4.0]], mask=mask)
with pytest.raises(exc.ArrayException):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0, sub_size=2)
aa.masked.array.manual_2d(
array=[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]], mask=mask
)
def test__exception_raised_if_input_array_is_1d_and_not_number_of_masked_sub_pixels(
self
):
with pytest.raises(exc.ArrayException):
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]], sub_size=1
)
aa.masked.array.manual_1d(array=[1.0, 2.0, 3.0, 4.0], mask=mask)
with pytest.raises(exc.ArrayException):
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]], sub_size=1
)
aa.masked.array.manual_1d(array=[1.0, 2.0], mask=mask)
with pytest.raises(exc.ArrayException):
mask = aa.mask.manual(mask_2d=[[False, True], [True, True]], sub_size=2)
aa.masked.array.manual_1d(array=[1.0, 2.0, 4.0], mask=mask)
with pytest.raises(exc.ArrayException):
mask = aa.mask.manual(mask_2d=[[False, True], [True, True]], sub_size=2)
aa.masked.array.manual_1d(array=[1.0, 2.0, 3.0, 4.0, 5.0], mask=mask)
class TestFull:
def test__makes_array_using_mask(self):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0)
arr = aa.masked.array.full(fill_value=1.0, mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]],
pixel_scales=1.0,
origin=(0.0, 1.0),
)
arr = aa.masked.array.full(fill_value=2.0, mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[2.0, 2.0], [0.0, 2.0]])).all()
assert (arr.in_1d == np.array([2.0, 2.0, 2.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
mask = aa.mask.manual(
mask_2d=[[False], [True]], pixel_scales=2.0, sub_size=2
)
arr = aa.masked.array.full(fill_value=3.0, mask=mask, store_in_1d=True)
assert type(arr) == arrays.Array
assert (arr == np.array([3.0, 3.0, 3.0, 3.0])).all()
assert (
arr.in_2d == np.array([[3.0, 3.0], [3.0, 3.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([3.0, 3.0, 3.0, 3.0])).all()
assert (arr.in_2d_binned == np.array([[3.0], [0.0]])).all()
assert (arr.in_1d_binned == np.array([3.0])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
arr = aa.masked.array.full(fill_value=3.0, mask=mask, store_in_1d=False)
assert type(arr) == arrays.Array
assert (
arr == np.array([[3.0, 3.0], [3.0, 3.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (
arr.in_2d == np.array([[3.0, 3.0], [3.0, 3.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([3.0, 3.0, 3.0, 3.0])).all()
assert (arr.in_2d_binned == np.array([[3.0], [0.0]])).all()
assert (arr.in_1d_binned == np.array([3.0])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
class TestOnesZeros:
def test__makes_array_using_mask(self):
mask = aa.mask.unmasked(shape_2d=(2, 2), pixel_scales=1.0)
arr = aa.masked.array.ones(mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0]])).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
mask = aa.mask.manual(
mask_2d=[[False, False], [True, False]],
pixel_scales=1.0,
origin=(0.0, 1.0),
)
arr = aa.masked.array.zeros(mask=mask)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.array([[0.0, 0.0], [0.0, 0.0]])).all()
assert (arr.in_1d == np.array([0.0, 0.0, 0.0])).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
mask = aa.mask.manual(
mask_2d=[[False], [True]], pixel_scales=2.0, sub_size=2
)
arr = aa.masked.array.ones(mask=mask, store_in_1d=True)
assert type(arr) == arrays.Array
assert (arr == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert (
arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert (arr.in_2d_binned == np.array([[1.0], [0.0]])).all()
assert (arr.in_1d_binned == np.array([1.0])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
arr = aa.masked.array.ones(mask=mask, store_in_1d=False)
assert type(arr) == arrays.Array
assert (
arr == np.array([[1.0, 1.0], [1.0, 1.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (
arr.in_2d == np.array([[1.0, 1.0], [1.0, 1.0], [0.0, 0.0], [0.0, 0.0]])
).all()
assert (arr.in_1d == np.array([1.0, 1.0, 1.0, 1.0])).all()
assert (arr.in_2d_binned == np.array([[1.0], [0.0]])).all()
assert (arr.in_1d_binned == np.array([1.0])).all()
assert arr.pixel_scales == (2.0, 2.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 2
class TestFromFits:
def test__array_from_fits_uses_mask(self):
mask = aa.mask.unmasked(shape_2d=(3, 3), pixel_scales=1.0)
arr = aa.masked.array.from_fits(
file_path=test_data_dir + "3x3_ones.fits", hdu=0, mask=mask
)
assert type(arr) == arrays.Array
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d == np.ones(9)).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 0.0)
assert arr.mask.sub_size == 1
mask = aa.mask.manual(
[
[False, False, False],
[False, False, False],
[True, False, True],
[False, False, False],
],
pixel_scales=1.0,
origin=(0.0, 1.0),
)
arr = aa.masked.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits",
hdu=0,
mask=mask,
store_in_1d=True,
)
assert type(arr) == arrays.Array
assert (
arr == np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])
).all()
assert (
arr.in_2d
== np.array(
[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [0.0, 1.0, 0.0], [1.0, 1.0, 1.0]]
)
).all()
assert (
arr.in_1d
== np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])
).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 1
arr = aa.masked.array.from_fits(
file_path=test_data_dir + "4x3_ones.fits",
hdu=0,
mask=mask,
store_in_1d=False,
)
assert type(arr) == arrays.Array
assert (
arr
== np.array(
[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [0.0, 1.0, 0.0], [1.0, 1.0, 1.0]]
)
).all()
assert (
arr.in_2d
== np.array(
[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [0.0, 1.0, 0.0], [1.0, 1.0, 1.0]]
)
).all()
assert (
arr.in_1d
== np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])
).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.origin == (0.0, 1.0)
assert arr.mask.sub_size == 1
class TestArray:
class TestConstructorMethods:
def test__constructor_class_method_in_2d__store_in_1d(self):
arr = arrays.Array.manual_2d(
array=np.ones((3, 3)),
sub_size=1,
pixel_scales=(1.0, 1.0),
store_in_1d=True,
)
assert (arr == np.ones((9,))).all()
assert (arr.in_1d == np.ones((9,))).all()
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d_binned == np.ones((9,))).all()
assert (arr.in_2d_binned == np.ones((3, 3))).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((3.0, 3.0))
assert arr.geometry.scaled_maxima == (1.5, 1.5)
assert arr.geometry.scaled_minima == (-1.5, -1.5)
arr = arrays.Array.manual_2d(
array=np.ones((4, 4)),
sub_size=2,
pixel_scales=(0.1, 0.1),
store_in_1d=True,
)
assert (arr == np.ones((16,))).all()
assert (arr.in_1d == np.ones((16,))).all()
assert (arr.in_2d == np.ones((4, 4))).all()
assert (arr.in_1d_binned == np.ones((4,))).all()
assert (arr.in_2d_binned == np.ones((2, 2))).all()
assert arr.pixel_scales == (0.1, 0.1)
assert arr.geometry.central_pixel_coordinates == (0.5, 0.5)
assert arr.geometry.shape_2d_scaled == pytest.approx((0.2, 0.2))
assert arr.geometry.scaled_maxima == pytest.approx((0.1, 0.1), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-0.1, -0.1), 1e-4)
arr = arrays.Array.manual_2d(
array=np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]]),
pixel_scales=(0.1, 0.1),
sub_size=2,
origin=(1.0, 1.0),
store_in_1d=True,
)
assert (arr == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])).all()
assert arr.shape_2d == (2, 1)
assert arr.sub_shape_2d == (4, 2)
assert (
arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])
).all()
assert (
arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]])
).all()
assert arr.in_2d_binned.shape == (2, 1)
assert (arr.in_1d_binned == np.array([2.5, 6.5])).all()
assert (arr.in_2d_binned == np.array([[2.5], [6.5]])).all()
assert arr.pixel_scales == (0.1, 0.1)
assert arr.geometry.central_pixel_coordinates == (0.5, 0.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((0.2, 0.1))
assert arr.geometry.scaled_maxima == pytest.approx((1.1, 1.05), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((0.9, 0.95), 1e-4)
arr = arrays.Array.manual_2d(
array=np.ones((3, 3)),
pixel_scales=(2.0, 1.0),
sub_size=1,
origin=(-1.0, -2.0),
store_in_1d=True,
)
assert arr == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_1d == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_2d == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.pixel_scales == (2.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((6.0, 3.0))
assert arr.geometry.origin == (-1.0, -2.0)
assert arr.geometry.scaled_maxima == pytest.approx((2.0, -0.5), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-4.0, -3.5), 1e-4)
def test__constructor_class_method_in_1d__store_in_1d(self):
arr = arrays.Array.manual_1d(
array=np.ones((9,)),
shape_2d=(3, 3),
pixel_scales=(2.0, 1.0),
sub_size=1,
origin=(-1.0, -2.0),
store_in_1d=True,
)
assert arr == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_1d == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_2d == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.pixel_scales == (2.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((6.0, 3.0))
assert arr.geometry.origin == (-1.0, -2.0)
assert arr.geometry.scaled_maxima == pytest.approx((2.0, -0.5), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-4.0, -3.5), 1e-4)
def test__constructor_class_method_in_2d__store_in_2d(self):
arr = arrays.Array.manual_2d(
array=np.ones((3, 3)),
sub_size=1,
pixel_scales=(1.0, 1.0),
store_in_1d=False,
)
assert (arr == np.ones((3, 3))).all()
assert (arr.in_1d == np.ones((9,))).all()
assert (arr.in_2d == np.ones((3, 3))).all()
assert (arr.in_1d_binned == np.ones((9,))).all()
assert (arr.in_2d_binned == np.ones((3, 3))).all()
assert arr.pixel_scales == (1.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((3.0, 3.0))
assert arr.geometry.scaled_maxima == (1.5, 1.5)
assert arr.geometry.scaled_minima == (-1.5, -1.5)
arr = arrays.Array.manual_2d(
array=np.ones((4, 4)),
sub_size=2,
pixel_scales=(0.1, 0.1),
store_in_1d=False,
)
assert (arr == np.ones((4, 4))).all()
assert (arr.in_1d == np.ones((16,))).all()
assert (arr.in_2d == np.ones((4, 4))).all()
assert (arr.in_1d_binned == np.ones((4,))).all()
assert (arr.in_2d_binned == np.ones((2, 2))).all()
assert arr.pixel_scales == (0.1, 0.1)
assert arr.geometry.central_pixel_coordinates == (0.5, 0.5)
assert arr.geometry.shape_2d_scaled == pytest.approx((0.2, 0.2))
assert arr.geometry.scaled_maxima == pytest.approx((0.1, 0.1), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-0.1, -0.1), 1e-4)
arr = arrays.Array.manual_2d(
array=np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]]),
pixel_scales=(0.1, 0.1),
sub_size=2,
origin=(1.0, 1.0),
store_in_1d=False,
)
assert (
arr == np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]])
).all()
assert arr.shape_2d == (2, 1)
assert arr.sub_shape_2d == (4, 2)
assert (
arr.in_1d == np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])
).all()
assert (
arr.in_2d == np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]])
).all()
assert arr.in_2d_binned.shape == (2, 1)
assert (arr.in_1d_binned == np.array([2.5, 6.5])).all()
assert (arr.in_2d_binned == np.array([[2.5], [6.5]])).all()
assert arr.pixel_scales == (0.1, 0.1)
assert arr.geometry.central_pixel_coordinates == (0.5, 0.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((0.2, 0.1))
assert arr.geometry.scaled_maxima == pytest.approx((1.1, 1.05), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((0.9, 0.95), 1e-4)
arr = arrays.Array.manual_2d(
array=np.ones((3, 3)),
pixel_scales=(2.0, 1.0),
sub_size=1,
origin=(-1.0, -2.0),
store_in_1d=False,
)
assert arr == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.in_1d == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_2d == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.pixel_scales == (2.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((6.0, 3.0))
assert arr.geometry.origin == (-1.0, -2.0)
assert arr.geometry.scaled_maxima == pytest.approx((2.0, -0.5), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-4.0, -3.5), 1e-4)
def test__constructor_class_method_in_1d__store_in_2d(self):
arr = arrays.Array.manual_1d(
array=np.ones((9,)),
shape_2d=(3, 3),
pixel_scales=(2.0, 1.0),
sub_size=1,
origin=(-1.0, -2.0),
store_in_1d=False,
)
assert arr == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.in_1d == pytest.approx(np.ones((9,)), 1e-4)
assert arr.in_2d == pytest.approx(np.ones((3, 3)), 1e-4)
assert arr.pixel_scales == (2.0, 1.0)
assert arr.geometry.central_pixel_coordinates == (1.0, 1.0)
assert arr.geometry.shape_2d_scaled == pytest.approx((6.0, 3.0))
assert arr.geometry.origin == (-1.0, -2.0)
assert arr.geometry.scaled_maxima == pytest.approx((2.0, -0.5), 1e-4)
assert arr.geometry.scaled_minima == pytest.approx((-4.0, -3.5), 1e-4)
class TestNewArrays:
def test__pad__compare_to_array_util(self):
array_2d = np.ones((5, 5))
array_2d[2, 2] = 2.0
arr = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(1.0, 1.0)
)
arr = arr.resized_from_new_shape(new_shape=(7, 7))
arr_resized_manual = np.array(
[
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 2.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
]
)
assert type(arr) == arrays.Array
assert (arr.in_2d == arr_resized_manual).all()
assert arr.mask.pixel_scales == (1.0, 1.0)
def test__trim__compare_to_array_util(self):
array_2d = np.ones((5, 5))
array_2d[2, 2] = 2.0
arr = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(1.0, 1.0)
)
arr = arr.resized_from_new_shape(new_shape=(3, 3))
arr_resized_manual = np.array(
[[1.0, 1.0, 1.0], [1.0, 2.0, 1.0], [1.0, 1.0, 1.0]]
)
assert type(arr) == arrays.Array
assert (arr.in_2d == arr_resized_manual).all()
assert arr.mask.pixel_scales == (1.0, 1.0)
def test__kernel_trim__trim_edges_where_extra_psf_blurring_is_performed(self):
array_2d = np.ones((5, 5))
array_2d[2, 2] = 2.0
arr = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(1.0, 1.0)
)
new_arr = arr.trimmed_from_kernel_shape(kernel_shape_2d=(3, 3))
assert type(new_arr) == arrays.Array
assert (
new_arr.in_2d
== np.array([[1.0, 1.0, 1.0], [1.0, 2.0, 1.0], [1.0, 1.0, 1.0]])
).all()
assert new_arr.mask.pixel_scales == (1.0, 1.0)
new_arr = arr.trimmed_from_kernel_shape(kernel_shape_2d=(5, 5))
assert type(new_arr) == arrays.Array
assert (new_arr.in_2d == np.array([[2.0]])).all()
assert new_arr.mask.pixel_scales == (1.0, 1.0)
array_2d = np.ones((9, 9))
array_2d[4, 4] = 2.0
arr = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(1.0, 1.0)
)
new_arr = arr.trimmed_from_kernel_shape(kernel_shape_2d=(7, 7))
assert type(new_arr) == arrays.Array
assert (
new_arr.in_2d
== np.array([[1.0, 1.0, 1.0], [1.0, 2.0, 1.0], [1.0, 1.0, 1.0]])
).all()
assert new_arr.mask.pixel_scales == (1.0, 1.0)
def test__zoomed__2d_array_zoomed__uses_the_limits_of_the_mask(self):
array_2d = np.array(
[
[1.0, 2.0, 3.0, 4.0],
[5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0],
[13.0, 14.0, 15.0, 16.0],
]
)
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, True],
[True, False, False, True],
[True, False, False, True],
[True, True, True, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=0)
assert (arr_zoomed.in_2d == np.array([[6.0, 7.0], [10.0, 11.0]])).all()
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, True],
[True, False, False, False],
[True, False, False, False],
[True, True, True, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=0)
assert (
arr_zoomed.in_2d == np.array([[6.0, 7.0, 8.0], [10.0, 11.0, 12.0]])
).all()
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, True],
[True, False, False, True],
[True, False, False, True],
[True, False, False, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=0)
assert (
arr_zoomed.in_2d == np.array([[6.0, 7.0], [10.0, 11.0], [14.0, 15.0]])
).all()
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, True],
[True, False, False, True],
[False, False, False, True],
[True, True, True, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=0)
assert (
arr_zoomed.in_2d == np.array([[0.0, 6.0, 7.0], [9.0, 10.0, 11.0]])
).all()
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, False, True, True],
[True, False, False, True],
[True, False, False, True],
[True, True, True, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=0)
assert (
arr_zoomed.in_2d == np.array([[2.0, 0.0], [6.0, 7.0], [10.0, 11.0]])
).all()
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, True],
[True, False, False, True],
[True, False, False, True],
[True, True, True, True],
]
),
pixel_scales=(1.0, 1.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
arr_zoomed = arr_masked.zoomed_around_mask(buffer=1)
assert (
arr_zoomed.in_2d
== np.array(
[
[0.0, 0.0, 0.0, 0.0],
[0.0, 6.0, 7.0, 0.0],
[0.0, 10.0, 11.0, 0.0],
[0.0, 0.0, 0.0, 0.0],
]
)
).all()
def test__zoomed__array_extent__uses_the_limits_of_the_unzoomed_mask(self):
array_2d = np.array(
[
[1.0, 2.0, 3.0, 4.0],
[5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0],
[13.0, 14.0, 15.0, 16.0],
]
)
mask = aa.mask.manual(
mask_2d=np.array(
[
[True, True, True, False],
[True, False, False, True],
[True, False, False, True],
[True, True, True, True],
]
),
pixel_scales=(1.0, 2.0),
sub_size=1,
)
arr_masked = aa.masked.array.manual_2d(array=array_2d, mask=mask)
extent = arr_masked.extent_of_zoomed_array(buffer=1)
assert extent == pytest.approx(np.array([-4.0, 6.0, -2.0, 3.0]), 1.0e-4)
def test__binned_up__compare_all_extract_methods_to_array_util(self):
array_2d = np.array(
[
[1.0, 6.0, 3.0, 7.0, 3.0, 2.0],
[2.0, 5.0, 3.0, 7.0, 7.0, 7.0],
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
]
)
arr = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(0.1, 0.1)
)
arr_binned_util = aa.util.binning.bin_array_2d_via_mean(
array_2d=array_2d, bin_up_factor=4
)
arr_binned = arr.binned_from_bin_up_factor(bin_up_factor=4, method="mean")
assert (arr_binned.in_2d == arr_binned_util).all()
assert arr_binned.pixel_scales == (0.4, 0.4)
arr_binned_util = aa.util.binning.bin_array_2d_via_quadrature(
array_2d=array_2d, bin_up_factor=4
)
arr_binned = arr.binned_from_bin_up_factor(
bin_up_factor=4, method="quadrature"
)
assert (arr_binned.in_2d == arr_binned_util).all()
assert arr_binned.pixel_scales == (0.4, 0.4)
arr_binned_util = aa.util.binning.bin_array_2d_via_sum(
array_2d=array_2d, bin_up_factor=4
)
arr_binned = arr.binned_from_bin_up_factor(bin_up_factor=4, method="sum")
assert (arr_binned.in_2d == arr_binned_util).all()
assert arr_binned.pixel_scales == (0.4, 0.4)
def test__binned_up__invalid_method__raises_exception(self):
array_2d = np.array(
[
[1.0, 6.0, 3.0, 7.0, 3.0, 2.0],
[2.0, 5.0, 3.0, 7.0, 7.0, 7.0],
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
]
)
array_2d = arrays.Array.manual_2d(
array=array_2d, sub_size=1, pixel_scales=(0.1, 0.1)
)
with pytest.raises(exc.ArrayException):
array_2d.binned_from_bin_up_factor(bin_up_factor=4, method="wrong")
class TestOutputToFits:
def test__output_to_fits(self):
arr = aa.array.from_fits(file_path=test_data_dir + "3x3_ones.fits", hdu=0)
output_data_dir = "{}/../test_files/array/output_test/".format(
os.path.dirname(os.path.realpath(__file__))
)
if os.path.exists(output_data_dir):
shutil.rmtree(output_data_dir)
os.makedirs(output_data_dir)
arr.output_to_fits(file_path=output_data_dir + "array.fits")
array_from_out = aa.array.from_fits(
file_path=output_data_dir + "array.fits", hdu=0
)
assert (array_from_out.in_2d == np.ones((3, 3))).all()
def test__output_to_fits__shapes_of_arrays_are_2d(self):
arr = aa.array.from_fits(file_path=test_data_dir + "3x3_ones.fits", hdu=0)
output_data_dir = "{}/../test_files/array/output_test/".format(
os.path.dirname(os.path.realpath(__file__))
)
if os.path.exists(output_data_dir):
shutil.rmtree(output_data_dir)
os.makedirs(output_data_dir)
arr.output_to_fits(file_path=output_data_dir + "array.fits")
array_from_out = aa.util.array.numpy_array_2d_from_fits(
file_path=output_data_dir + "array.fits", hdu=0
)
assert (array_from_out == np.ones((3, 3))).all()
mask = aa.mask.unmasked(shape_2d=(3, 3), pixel_scales=0.1)
masked_array = aa.masked.array(array=arr, mask=mask)
masked_array.output_to_fits(file_path=output_data_dir + "masked_array.fits")
masked_array_from_out = aa.util.array.numpy_array_2d_from_fits(
file_path=output_data_dir + "masked_array.fits", hdu=0
)
assert (masked_array_from_out == np.ones((3, 3))).all()
| 40.219771
| 93
| 0.475939
| 7,392
| 49,229
| 3.00717
| 0.021239
| 0.041927
| 0.036304
| 0.036529
| 0.963606
| 0.95029
| 0.946826
| 0.941338
| 0.93324
| 0.920239
| 0
| 0.101585
| 0.352719
| 49,229
| 1,223
| 94
| 40.252657
| 0.596014
| 0
| 0
| 0.739563
| 0
| 0
| 0.007008
| 0.001889
| 0
| 0
| 0
| 0
| 0.387674
| 1
| 0.030815
| false
| 0
| 0.006958
| 0
| 0.05169
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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|
0
| 7
|
1601a24de6348ad66a9381c0effa40ae2e60256b
| 24,190
|
py
|
Python
|
mpf/tests/test_BallHold.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | 163
|
2015-01-25T02:19:50.000Z
|
2022-03-26T12:00:28.000Z
|
mpf/tests/test_BallHold.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | 1,086
|
2015-03-23T19:53:17.000Z
|
2022-03-24T20:46:11.000Z
|
mpf/tests/test_BallHold.py
|
Scottacus64/mpf
|
fcfb6c5698b9c7d8bf0eb64b021aaa389ea6478a
|
[
"MIT"
] | 148
|
2015-01-28T02:31:39.000Z
|
2022-03-22T13:54:01.000Z
|
from mpf.tests.MpfTestCase import MpfTestCase
from unittest.mock import MagicMock
class TestBallHold(MpfTestCase):
def get_config_file(self):
return 'test_ball_holds.yaml'
def get_machine_path(self):
return 'tests/machine_files/ball_holds/'
def _missing_ball(self, **kwargs):
del kwargs
self._missing += 1
def _ball_enter(self, new_balls, unclaimed_balls, **kwargs):
del unclaimed_balls
del kwargs
self._enter += new_balls
def _captured_from_pf(self, balls, **kwargs):
del kwargs
self._captured += balls
def _collecting_balls_complete_handler(self, **kwargs):
del kwargs
self._collecting_balls_complete = 1
def test_ball_hold_in_mode(self):
# start mode
self.post_event("start_mode1")
# mode loaded. ball_hold2 should be enabled
self.assertTrue(self.machine.ball_holds["hold_test2"].enabled)
# stop mode
self.post_event("stop_mode1")
# mode stopped. should ball_hold be disabled
self.assertFalse(self.machine.ball_holds["hold_test2"].enabled)
# start mode (again)
self.post_event("start_mode1")
# mode loaded. ball_hold2 should be enabled
self.assertTrue(self.machine.ball_holds["hold_test2"].enabled)
# stop mode
self.post_event("stop_mode1")
# mode stopped. should ball_hold be disabled
self.assertFalse(self.machine.ball_holds["hold_test2"].enabled)
def test_hold_and_release_at_game_end(self):
coil1 = self.machine.coils['eject_coil1']
coil2 = self.machine.coils['eject_coil2']
coil3 = self.machine.coils['eject_coil3']
trough = self.machine.ball_devices['test_trough']
launcher = self.machine.ball_devices['test_launcher']
hold = self.machine.ball_devices['test_hold']
hold_logic = self.machine.ball_holds['hold_test']
playfield = self.machine.ball_devices['playfield']
self.machine.events.add_handler('balldevice_captured_from_playfield', self._captured_from_pf)
self.machine.events.add_handler('balldevice_ball_missing', self._missing_ball)
self._enter = 0
self._captured = 0
self._missing = 0
# add an initial ball to trough
self.machine.switch_controller.process_switch("s_ball_switch1", 1)
self.machine.switch_controller.process_switch("s_ball_switch2", 1)
self.advance_time_and_run(1)
self.assertEqual(2, self._captured)
self._captured = 0
self.assertEqual(0, playfield.balls)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
# it should keep the ball
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
self.assertEqual(2, trough.balls)
assert not coil1.pulse.called
assert not coil2.pulse.called
assert not coil3.pulse.called
# start a game
self.machine.switch_controller.process_switch("s_start", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_start", 0)
self.advance_time_and_run(1)
# trough ejects
self.assertTrue(coil1.pulse.called)
assert not coil2.pulse.called
assert not coil3.pulse.called
self.machine.switch_controller.process_switch("s_ball_switch1", 0)
self.advance_time_and_run(1)
self.assertEqual(1, trough.balls)
# launcher receives and ejects
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 1)
self.advance_time_and_run(1)
self.assertEqual(1, launcher.balls)
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
assert not coil3.pulse.called
# launcher shoots the ball
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 0)
self.advance_time_and_run(1)
self.assertEqual(0, launcher.balls)
self.machine.switch_controller.process_switch("s_playfield_active", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_playfield_active", 0)
self.advance_time_and_run(1)
self.assertEqual(1, playfield.balls)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
self.mock_event("yes")
self.mock_event("no")
self.post_event("test_conditional_event")
self.assertEventCalled("no")
self.assertEventNotCalled("yes")
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
# ball enters hold
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 1)
self.advance_time_and_run(1)
self.assertEqual(1, hold.balls)
self.mock_event("yes")
self.mock_event("no")
self.post_event("test_conditional_event")
self.assertEventNotCalled("no")
self.assertEventCalled("yes")
# request another ball
self.machine.playfield.add_ball(1)
self.advance_time_and_run()
self.assertTrue(coil1.pulse.called)
assert not coil2.pulse.called
assert not coil3.pulse.called
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(1, hold_logic.balls_held)
self._captured = 0
self.machine.switch_controller.process_switch("s_ball_switch2", 0)
self.advance_time_and_run(1)
self.assertEqual(0, trough.balls)
# launcher receives and ejects
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 1)
self.advance_time_and_run(1)
self.assertEqual(1, launcher.balls)
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
assert not coil3.pulse.called
# launcher shoots the ball
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 0)
self.advance_time_and_run(1)
self.assertEqual(0, launcher.balls)
self.machine.switch_controller.process_switch("s_playfield_active", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_playfield_active", 0)
self.advance_time_and_run(1)
self.assertEqual(1, playfield.balls)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
# ball drains
self.machine.switch_controller.process_switch("s_ball_switch1", 1)
self.advance_time_and_run(1)
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self._captured = 0
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
# hold should eject all balls
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
self.assertTrue(coil3.pulse.called)
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 0)
self.advance_time_and_run(1)
self.assertEqual(0, hold.balls)
self.assertEqual(0, hold_logic.balls_held)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
# game did not end because ball has not drained
self.assertIsNotNone(self.machine.game)
# ball also drains
self.machine.switch_controller.process_switch("s_ball_switch2", 1)
self.advance_time_and_run(1)
# game ends
self.assertIsNone(self.machine.game)
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
self.advance_time_and_run(100)
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
def test_hold_full_and_release(self):
coil1 = self.machine.coils['eject_coil1']
coil2 = self.machine.coils['eject_coil2']
coil3 = self.machine.coils['eject_coil3']
trough = self.machine.ball_devices['test_trough']
hold = self.machine.ball_devices['test_hold']
hold_logic = self.machine.ball_holds['hold_test']
playfield = self.machine.ball_devices['playfield']
self.machine.events.add_handler('balldevice_captured_from_playfield', self._captured_from_pf)
self.machine.events.add_handler('balldevice_ball_missing', self._missing_ball)
self.machine.events.add_handler('collecting_balls_complete', self._collecting_balls_complete_handler)
hold_logic.enable()
self._enter = 0
self._captured = 0
self._missing = 0
self._collecting_balls_complete = 0
# add an initial ball to trough
self.machine.switch_controller.process_switch("s_ball_switch1", 1)
self.machine.switch_controller.process_switch("s_ball_switch2", 1)
self.advance_time_and_run(1)
self.assertEqual(2, self._captured)
self._captured = 0
self.assertEqual(0, playfield.balls)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
# it should keep the ball
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
self.assertEqual(2, trough.balls)
assert not coil1.pulse.called
assert not coil2.pulse.called
assert not coil3.pulse.called
self.assertFalse(hold_logic.is_full())
self.assertEqual(2, trough.available_balls)
# hold captures a first random ball
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 1)
self.advance_time_and_run(1)
assert not coil3.pulse.called
self.assertFalse(hold_logic.is_full())
# self.assertEqual(1, trough.available_balls)
self.assertEqual(1, hold.available_balls)
# hold captures a second random ball
self.machine.switch_controller.process_switch("s_ball_switch_hold2", 1)
self.advance_time_and_run(1)
assert not coil3.pulse.called
self.assertTrue(hold_logic.is_full())
# self.assertEqual(0, trough.available_balls)
self.assertEqual(2, hold.available_balls)
# hold captures a third random ball
self.machine.switch_controller.process_switch("s_ball_switch_hold3", 1)
self.advance_time_and_run(1)
# it should eject it right away
self.assertTrue(coil3.pulse.called)
coil3.pulse = MagicMock()
self.assertTrue(hold_logic.is_full())
self.advance_time_and_run(1)
self.machine.switch_controller.process_switch("s_ball_switch_hold3", 0)
self.advance_time_and_run(11)
self.assertTrue(hold_logic.is_full())
self.assertEqual(2, hold.available_balls)
hold_logic.release_all()
self.advance_time_and_run(1)
self.assertEqual(0, hold.available_balls)
self.assertTrue(coil3.pulse.called)
coil3.pulse = MagicMock()
self.advance_time_and_run(1)
self.machine.switch_controller.process_switch("s_ball_switch_hold2", 0)
self.advance_time_and_run(1)
self.assertFalse(hold_logic.is_full())
self.advance_time_and_run(11)
self.assertTrue(coil3.pulse.called)
coil3.pulse = MagicMock()
self.advance_time_and_run(1)
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 0)
self.advance_time_and_run(11)
assert not coil3.pulse.called
def test_eject_to_hold(self):
coil1 = self.machine.coils['eject_coil1']
coil2 = self.machine.coils['eject_coil2']
coil3 = self.machine.coils['eject_coil3']
trough = self.machine.ball_devices['test_trough']
launcher = self.machine.ball_devices['test_launcher']
hold = self.machine.ball_devices['test_hold']
hold_logic = self.machine.ball_holds['hold_test']
playfield = self.machine.ball_devices['playfield']
self.machine.events.add_handler('balldevice_captured_from_playfield', self._captured_from_pf)
self.machine.events.add_handler('balldevice_ball_missing', self._missing_ball)
self.machine.events.add_handler('collecting_balls_complete', self._collecting_balls_complete_handler)
self._enter = 0
self._captured = 0
self._missing = 0
self._collecting_balls_complete = 0
# add an initial ball to trough
self.machine.switch_controller.process_switch("s_ball_switch1", 1)
self.machine.switch_controller.process_switch("s_ball_switch2", 1)
self.advance_time_and_run(1)
self.assertEqual(2, self._captured)
self._captured = 0
self.assertEqual(0, playfield.balls)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
# it should keep the ball
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
self.assertEqual(2, trough.balls)
assert not coil1.pulse.called
assert not coil2.pulse.called
assert not coil3.pulse.called
# start a game
self.machine.switch_controller.process_switch("s_start", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_start", 0)
self.advance_time_and_run(1)
# trough ejects
self.assertTrue(coil1.pulse.called)
assert not coil2.pulse.called
assert not coil3.pulse.called
self.machine.switch_controller.process_switch("s_ball_switch1", 0)
self.advance_time_and_run(1)
self.assertEqual(1, trough.balls)
# launcher receives and ejects
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 1)
self.advance_time_and_run(1)
self.assertEqual(1, launcher.balls)
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
assert not coil3.pulse.called
# launcher shoots the ball
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 0)
self.advance_time_and_run(1)
self.assertEqual(0, launcher.balls)
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
# ball directly enters the hold
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 1)
self.advance_time_and_run(1)
self.assertEqual(1, hold.balls)
# request another ball
self.machine.playfield.add_ball(1)
self.advance_time_and_run()
self.assertTrue(coil1.pulse.called)
assert not coil2.pulse.called
assert not coil3.pulse.called
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(1, hold_logic.balls_held)
self._captured = 0
self.machine.switch_controller.process_switch("s_ball_switch2", 0)
self.advance_time_and_run(1)
self.assertEqual(0, trough.balls)
# launcher receives and ejects
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 1)
self.advance_time_and_run(1)
self.assertEqual(1, launcher.balls)
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
assert not coil3.pulse.called
# launcher shoots the ball
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 0)
self.advance_time_and_run(1)
self.assertEqual(0, launcher.balls)
self.machine.switch_controller.process_switch("s_playfield_active", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_playfield_active", 0)
self.advance_time_and_run(1)
self.assertEqual(1, playfield.balls)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(1, hold.available_balls)
# request a release of one ball from hold via event
self.machine.events.post("release_test")
# since we are not using a multi ball increase the balls_in_play manually
self.assertEqual(1, self.machine.game.balls_in_play)
self.machine.game.balls_in_play += 1
self.advance_time_and_run(1)
# hold should eject a ball
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
self.assertTrue(coil3.pulse.called)
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 0)
self.advance_time_and_run(1)
self.assertEqual(0, hold.balls)
self.assertEqual(0, hold_logic.balls_held)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
# ball drains instantly. one left on pf
self.machine.switch_controller.process_switch("s_ball_switch1", 1)
self.advance_time_and_run(1)
self.assertEqual(1, self.machine.game.balls_in_play)
# other ball hits some pf switches
self.machine.switch_controller.process_switch("s_playfield_active", 1)
self.advance_time_and_run(0.1)
self.machine.switch_controller.process_switch("s_playfield_active", 0)
self.advance_time_and_run(1)
self.assertEqual(1, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self._captured = 0
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
self.assertEqual(0, self._collecting_balls_complete)
self.assertEqual(1, self.machine.game.balls_in_play)
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
# we add another ball
self.machine.game.balls_in_play += 1
playfield.add_ball()
self.advance_time_and_run(1)
self.assertEqual(2, self.machine.game.balls_in_play)
self.machine.switch_controller.process_switch("s_ball_switch1", 0)
self.advance_time_and_run(1)
self.assertEqual(0, trough.balls)
# launcher receives and ejects
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 1)
self.advance_time_and_run(1)
self.assertEqual(1, launcher.balls)
self.assertTrue(coil1.pulse.called)
self.assertTrue(coil2.pulse.called)
assert not coil3.pulse.called
# launcher shoots the ball
self.machine.switch_controller.process_switch("s_ball_switch_launcher", 0)
self.advance_time_and_run(1)
self.assertEqual(0, launcher.balls)
coil1.pulse = MagicMock()
coil2.pulse = MagicMock()
coil3.pulse = MagicMock()
# ball directly enters the hold (again)
self.machine.switch_controller.process_switch("s_ball_switch_hold1", 1)
self.advance_time_and_run(1)
self.assertEqual(1, hold.balls)
# playfield count goes to 0
self.assertEqual(0, playfield.balls)
self.assertEqual(1, self._captured)
self.assertEqual(0, self._missing)
self._captured = 0
# wait for eject confirm for hold
self.advance_time_and_run(10)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
self.advance_time_and_run(100)
self.assertEqual(1, playfield.balls)
self.assertEqual(0, self._captured)
self.assertEqual(0, self._missing)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
def test_auto_capacity(self):
self.assertEqual(self.machine.ball_holds["hold_test3"].config['balls_to_hold'], 2)
def test_enabled_state_in_placeholder(self):
placeholder = self.machine.placeholder_manager.build_bool_template("device.ball_holds.hold_test.enabled")
value, subscription = placeholder.evaluate_and_subscribe([])
self.assertFalse(value)
self.assertFalse(subscription.done())
self.mock_event("should_post_when_enabled")
self.mock_event("should_post_when_disabled")
self.mock_event("should_not_post_when_enabled")
self.mock_event("should_not_post_when_disabled")
hold = self.machine.ball_holds['hold_test']
hold.enable()
self.assertTrue(hold.enabled)
self.post_event("test_event_when_enabled")
self.assertEventCalled("should_post_when_enabled")
self.assertEventNotCalled("should_not_post_when_enabled")
self.assertTrue(subscription.done())
value, subscription = placeholder.evaluate_and_subscribe([])
self.assertTrue(value)
hold.disable()
self.assertFalse(hold.enabled)
self.post_event("test_event_when_disabled")
self.assertEventCalled("should_post_when_disabled")
self.assertEventNotCalled("should_not_post_when_disabled")
self.assertTrue(subscription.done())
value, subscription = placeholder.evaluate_and_subscribe([])
self.assertFalse(value)
# we need to chancel the subscription or it will crash later
subscription.cancel()
class TestBallHoldSmart(MpfTestCase):
def get_config_file(self):
return 'test_ball_holds.yaml'
def get_machine_path(self):
return 'tests/machine_files/ball_holds/'
def get_platform(self):
return 'smart_virtual'
def test_ball_end(self):
self.machine.config['game']['balls_per_game'] = self.machine.placeholder_manager.build_int_template(3)
# add an initial ball to trough
self.hit_switch_and_run("s_ball_switch1", 1)
self.hit_switch_and_run("s_ball_switch2", 1)
self.advance_time_and_run(1)
self.assertEqual(0, self.machine.playfield.balls)
self.assertEqual(2, self.machine.ball_controller.num_balls_known)
# press start
self.hit_and_release_switch("s_start")
# wait until ball is on pf
self.advance_time_and_run(10)
self.assertEqual(1, self.machine.game.player.ball)
self.assertEqual(1, self.machine.playfield.balls)
# hold one ball
self.machine.ball_holds["hold_test"].enable()
self.hit_switch_and_run("s_ball_switch_hold1", 1)
# still held
self.advance_time_and_run(10)
self.assertEqual(1, self.machine.ball_holds["hold_test"].balls_held)
self.assertEqual(0, self.machine.playfield.balls)
# request another ball
self.machine.playfield.add_ball(1)
self.advance_time_and_run()
self.hit_and_release_switch('s_playfield_active')
self.advance_time_and_run()
self.assertEqual(1, self.machine.playfield.balls)
# drain ball on pf
self.machine.default_platform.add_ball_to_device(self.machine.ball_devices["test_trough"])
self.advance_time_and_run(1)
# machine waits for the hold
self.advance_time_and_run(10)
self.assertEqual(1, self.machine.game.player.ball)
# release the hold
self.post_event('release_test')
self.assertEqual(0, self.machine.ball_holds["hold_test"].balls_held)
self.assertEqual(1, self.machine.playfield.balls)
# once the ball drains move on to the ball 2
self.machine.default_platform.add_ball_to_device(self.machine.ball_devices["test_trough"])
self.advance_time_and_run(1)
self.assertEqual(2, self.machine.game.player.ball)
# next ball
self.advance_time_and_run(10)
self.assertBallsOnPlayfield(1)
# drain again
self.machine.default_platform.add_ball_to_device(self.machine.ball_devices["test_trough"])
self.advance_time_and_run(1)
# there should be no hold this time
self.assertEqual(3, self.machine.game.player.ball)
| 37.73791
| 113
| 0.683423
| 3,082
| 24,190
| 5.093446
| 0.06684
| 0.088992
| 0.063065
| 0.075678
| 0.891642
| 0.86183
| 0.841763
| 0.80781
| 0.792967
| 0.766085
| 0
| 0.020912
| 0.221124
| 24,190
| 640
| 114
| 37.796875
| 0.812271
| 0.074163
| 0
| 0.835955
| 0
| 0
| 0.090376
| 0.037664
| 0
| 0
| 0
| 0
| 0.404494
| 1
| 0.035955
| false
| 0
| 0.004494
| 0.011236
| 0.05618
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
16145998ba43092217546fe268221a2b4d946bcd
| 68,579
|
py
|
Python
|
lib/mirror/cnn_wrapper/resnet.py
|
Yzhbuaa/DAGSfM
|
321f9bf24456f2e68aa4ea3d7a59c39040fe1f1f
|
[
"BSD-3-Clause"
] | 255
|
2018-12-14T05:59:29.000Z
|
2020-11-04T12:15:32.000Z
|
lib/mirror/cnn_wrapper/resnet.py
|
Yzhbuaa/DAGSfM
|
321f9bf24456f2e68aa4ea3d7a59c39040fe1f1f
|
[
"BSD-3-Clause"
] | 35
|
2018-12-25T03:02:48.000Z
|
2020-11-19T03:33:25.000Z
|
lib/mirror/cnn_wrapper/resnet.py
|
Yzhbuaa/DAGSfM
|
321f9bf24456f2e68aa4ea3d7a59c39040fe1f1f
|
[
"BSD-3-Clause"
] | 54
|
2018-12-14T06:09:21.000Z
|
2020-11-21T08:29:31.000Z
|
from cnn_wrapper.network import Network
class ResNet50(Network):
def setup(self):
(self.feed('data')
.conv(7, 64, 2, padding=3, relu=False, name='conv1')
.batch_normalization(relu=True, scale=True, center=True, name='bn_conv1')
.max_pool(3, 2, name='pool1')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch1')
.batch_normalization(scale=True, center=True, name='bn2a_branch1'))
(self.feed('pool1')
.conv(1, 64, 1, biased=False, relu=False, name='res2a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch2c')
.batch_normalization(scale=True, center=True, name='bn2a_branch2c'))
(self.feed('bn2a_branch1',
'bn2a_branch2c')
.add(name='res2a')
.relu(name='res2a_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2b_branch2c')
.batch_normalization(scale=True, center=True, name='bn2b_branch2c'))
(self.feed('res2a_relu',
'bn2b_branch2c')
.add(name='res2b')
.relu(name='res2b_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2c_branch2c')
.batch_normalization(scale=True, center=True, name='bn2c_branch2c'))
(self.feed('res2b_relu',
'bn2c_branch2c')
.add(name='res2c')
.relu(name='res2c_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res3a_branch1')
.batch_normalization(scale=True, center=True, name='bn3a_branch1'))
(self.feed('res2c_relu')
.conv(1, 128, 2, biased=False, relu=False, name='res3a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3a_branch2c')
.batch_normalization(scale=True, center=True, name='bn3a_branch2c'))
(self.feed('bn3a_branch1',
'bn3a_branch2c')
.add(name='res3a')
.relu(name='res3a_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b_branch2c'))
(self.feed('res3a_relu',
'bn3b_branch2c')
.add(name='res3b')
.relu(name='res3b_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3c_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3c_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3c_branch2c')
.batch_normalization(scale=True, center=True, name='bn3c_branch2c'))
(self.feed('res3b_relu',
'bn3c_branch2c')
.add(name='res3c')
.relu(name='res3c_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3d_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3d_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3d_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3d_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3d_branch2c')
.batch_normalization(scale=True, center=True, name='bn3d_branch2c'))
(self.feed('res3c_relu',
'bn3d_branch2c')
.add(name='res3d')
.relu(name='res3d_relu')
.conv(1, 1024, 2, biased=False, relu=False, name='res4a_branch1')
.batch_normalization(scale=True, center=True, name='bn4a_branch1'))
(self.feed('res3d_relu')
.conv(1, 256, 2, biased=False, relu=False, name='res4a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4a_branch2c')
.batch_normalization(scale=True, center=True, name='bn4a_branch2c'))
(self.feed('bn4a_branch1',
'bn4a_branch2c')
.add(name='res4a')
.relu(name='res4a_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b_branch2c'))
(self.feed('res4a_relu',
'bn4b_branch2c')
.add(name='res4b')
.relu(name='res4b_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4c_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4c_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4c_branch2c')
.batch_normalization(scale=True, center=True, name='bn4c_branch2c'))
(self.feed('res4b_relu',
'bn4c_branch2c')
.add(name='res4c')
.relu(name='res4c_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4d_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4d_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4d_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4d_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4d_branch2c')
.batch_normalization(scale=True, center=True, name='bn4d_branch2c'))
(self.feed('res4c_relu',
'bn4d_branch2c')
.add(name='res4d')
.relu(name='res4d_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4e_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4e_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4e_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4e_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4e_branch2c')
.batch_normalization(scale=True, center=True, name='bn4e_branch2c'))
(self.feed('res4d_relu',
'bn4e_branch2c')
.add(name='res4e')
.relu(name='res4e_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4f_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4f_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4f_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4f_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4f_branch2c')
.batch_normalization(scale=True, center=True, name='bn4f_branch2c'))
(self.feed('res4e_relu',
'bn4f_branch2c')
.add(name='res4f')
.relu(name='res4f_relu')
.conv(1, 2048, 2, biased=False, relu=False, name='res5a_branch1')
.batch_normalization(scale=True, center=True, name='bn5a_branch1'))
(self.feed('res4f_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res5a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5a_branch2c')
.batch_normalization(scale=True, center=True, name='bn5a_branch2c'))
(self.feed('bn5a_branch1',
'bn5a_branch2c')
.add(name='res5a')
.relu(name='res5a_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5b_branch2c')
.batch_normalization(scale=True, center=True, name='bn5b_branch2c'))
(self.feed('res5a_relu',
'bn5b_branch2c')
.add(name='res5b')
.relu(name='res5b_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5c_branch2c')
.batch_normalization(scale=True, center=True, name='bn5c_branch2c'))
(self.feed('res5b_relu',
'bn5c_branch2c')
.add(name='res5c')
.relu(name='res5c_relu')
.avg_pool(7, 1, padding='VALID', name='pool5'))
if not self.fcn:
(self.feed('pool5')
.fc(1000, relu=False, name='fc1000')
.softmax(name='prob'))
class ResNet101(Network):
def setup(self):
(self.feed('data')
.conv(7, 64, 2, biased=False, relu=False, name='conv1')
.batch_normalization(scale=True, center=True, relu=True, name='bn_conv1')
.max_pool(3, 2, name='pool1')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch1')
.batch_normalization(scale=True, center=True, name='bn2a_branch1'))
(self.feed('pool1')
.conv(1, 64, 1, biased=False, relu=False, name='res2a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch2c')
.batch_normalization(scale=True, center=True, name='bn2a_branch2c'))
(self.feed('bn2a_branch1',
'bn2a_branch2c')
.add(name='res2a')
.relu(name='res2a_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2b_branch2c')
.batch_normalization(scale=True, center=True, name='bn2b_branch2c'))
(self.feed('res2a_relu',
'bn2b_branch2c')
.add(name='res2b')
.relu(name='res2b_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2c_branch2c')
.batch_normalization(scale=True, center=True, name='bn2c_branch2c'))
(self.feed('res2b_relu',
'bn2c_branch2c')
.add(name='res2c')
.relu(name='res2c_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res3a_branch1')
.batch_normalization(scale=True, center=True, name='bn3a_branch1'))
(self.feed('res2c_relu')
.conv(1, 128, 2, biased=False, relu=False, name='res3a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3a_branch2c')
.batch_normalization(scale=True, center=True, name='bn3a_branch2c'))
(self.feed('bn3a_branch1',
'bn3a_branch2c')
.add(name='res3a')
.relu(name='res3a_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b1_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b1_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b1_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b1_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b1_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b1_branch2c'))
(self.feed('res3a_relu',
'bn3b1_branch2c')
.add(name='res3b1')
.relu(name='res3b1_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b2_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b2_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b2_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b2_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b2_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b2_branch2c'))
(self.feed('res3b1_relu',
'bn3b2_branch2c')
.add(name='res3b2')
.relu(name='res3b2_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b3_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b3_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b3_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b3_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b3_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b3_branch2c'))
(self.feed('res3b2_relu',
'bn3b3_branch2c')
.add(name='res3b3')
.relu(name='res3b3_relu')
.conv(1, 1024, 2, biased=False, relu=False, name='res4a_branch1')
.batch_normalization(scale=True, center=True, name='bn4a_branch1'))
(self.feed('res3b3_relu')
.conv(1, 256, 2, biased=False, relu=False, name='res4a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4a_branch2c')
.batch_normalization(scale=True, center=True, name='bn4a_branch2c'))
(self.feed('bn4a_branch1',
'bn4a_branch2c')
.add(name='res4a')
.relu(name='res4a_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b1_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b1_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b1_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b1_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b1_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b1_branch2c'))
(self.feed('res4a_relu',
'bn4b1_branch2c')
.add(name='res4b1')
.relu(name='res4b1_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b2_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b2_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b2_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b2_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b2_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b2_branch2c'))
(self.feed('res4b1_relu',
'bn4b2_branch2c')
.add(name='res4b2')
.relu(name='res4b2_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b3_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b3_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b3_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b3_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b3_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b3_branch2c'))
(self.feed('res4b2_relu',
'bn4b3_branch2c')
.add(name='res4b3')
.relu(name='res4b3_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b4_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b4_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b4_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b4_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b4_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b4_branch2c'))
(self.feed('res4b3_relu',
'bn4b4_branch2c')
.add(name='res4b4')
.relu(name='res4b4_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b5_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b5_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b5_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b5_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b5_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b5_branch2c'))
(self.feed('res4b4_relu',
'bn4b5_branch2c')
.add(name='res4b5')
.relu(name='res4b5_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b6_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b6_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b6_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b6_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b6_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b6_branch2c'))
(self.feed('res4b5_relu',
'bn4b6_branch2c')
.add(name='res4b6')
.relu(name='res4b6_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b7_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b7_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b7_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b7_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b7_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b7_branch2c'))
(self.feed('res4b6_relu',
'bn4b7_branch2c')
.add(name='res4b7')
.relu(name='res4b7_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b8_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b8_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b8_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b8_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b8_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b8_branch2c'))
(self.feed('res4b7_relu',
'bn4b8_branch2c')
.add(name='res4b8')
.relu(name='res4b8_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b9_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b9_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b9_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b9_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b9_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b9_branch2c'))
(self.feed('res4b8_relu',
'bn4b9_branch2c')
.add(name='res4b9')
.relu(name='res4b9_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b10_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b10_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b10_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b10_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b10_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b10_branch2c'))
(self.feed('res4b9_relu',
'bn4b10_branch2c')
.add(name='res4b10')
.relu(name='res4b10_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b11_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b11_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b11_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b11_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b11_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b11_branch2c'))
(self.feed('res4b10_relu',
'bn4b11_branch2c')
.add(name='res4b11')
.relu(name='res4b11_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b12_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b12_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b12_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b12_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b12_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b12_branch2c'))
(self.feed('res4b11_relu',
'bn4b12_branch2c')
.add(name='res4b12')
.relu(name='res4b12_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b13_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b13_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b13_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b13_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b13_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b13_branch2c'))
(self.feed('res4b12_relu',
'bn4b13_branch2c')
.add(name='res4b13')
.relu(name='res4b13_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b14_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b14_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b14_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b14_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b14_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b14_branch2c'))
(self.feed('res4b13_relu',
'bn4b14_branch2c')
.add(name='res4b14')
.relu(name='res4b14_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b15_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b15_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b15_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b15_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b15_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b15_branch2c'))
(self.feed('res4b14_relu',
'bn4b15_branch2c')
.add(name='res4b15')
.relu(name='res4b15_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b16_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b16_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b16_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b16_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b16_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b16_branch2c'))
(self.feed('res4b15_relu',
'bn4b16_branch2c')
.add(name='res4b16')
.relu(name='res4b16_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b17_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b17_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b17_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b17_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b17_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b17_branch2c'))
(self.feed('res4b16_relu',
'bn4b17_branch2c')
.add(name='res4b17')
.relu(name='res4b17_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b18_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b18_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b18_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b18_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b18_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b18_branch2c'))
(self.feed('res4b17_relu',
'bn4b18_branch2c')
.add(name='res4b18')
.relu(name='res4b18_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b19_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b19_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b19_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b19_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b19_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b19_branch2c'))
(self.feed('res4b18_relu',
'bn4b19_branch2c')
.add(name='res4b19')
.relu(name='res4b19_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b20_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b20_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b20_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b20_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b20_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b20_branch2c'))
(self.feed('res4b19_relu',
'bn4b20_branch2c')
.add(name='res4b20')
.relu(name='res4b20_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b21_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b21_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b21_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b21_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b21_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b21_branch2c'))
(self.feed('res4b20_relu',
'bn4b21_branch2c')
.add(name='res4b21')
.relu(name='res4b21_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b22_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b22_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b22_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b22_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b22_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b22_branch2c'))
(self.feed('res4b21_relu',
'bn4b22_branch2c')
.add(name='res4b22')
.relu(name='res4b22_relu')
.conv(1, 2048, 2, biased=False, relu=False, name='res5a_branch1')
.batch_normalization(scale=True, center=True, name='bn5a_branch1'))
(self.feed('res4b22_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res5a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5a_branch2c')
.batch_normalization(scale=True, center=True, name='bn5a_branch2c'))
(self.feed('bn5a_branch1',
'bn5a_branch2c')
.add(name='res5a')
.relu(name='res5a_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5b_branch2c')
.batch_normalization(scale=True, center=True, name='bn5b_branch2c'))
(self.feed('res5a_relu',
'bn5b_branch2c')
.add(name='res5b')
.relu(name='res5b_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5c_branch2c')
.batch_normalization(scale=True, center=True, name='bn5c_branch2c'))
(self.feed('res5b_relu',
'bn5c_branch2c')
.add(name='res5c')
.relu(name='res5c_relu')
.avg_pool(7, 1, padding='VALID', name='pool5'))
if not self.fcn:
(self.feed('pool5')
.fc(1000, relu=False, name='fc1000')
.softmax(name='prob'))
class ResNet152(Network):
def setup(self):
(self.feed('data')
.conv(7, 64, 2, biased=False, relu=False, name='conv1')
.batch_normalization(scale=True, center=True, relu=True, name='bn_conv1')
.max_pool(3, 2, name='pool1')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch1')
.batch_normalization(scale=True, center=True, name='bn2a_branch1'))
(self.feed('pool1')
.conv(1, 64, 1, biased=False, relu=False, name='res2a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2a_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2a_branch2c')
.batch_normalization(scale=True, center=True, name='bn2a_branch2c'))
(self.feed('bn2a_branch1',
'bn2a_branch2c')
.add(name='res2a')
.relu(name='res2a_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2b_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2b_branch2c')
.batch_normalization(scale=True, center=True, name='bn2b_branch2c'))
(self.feed('res2a_relu',
'bn2b_branch2c')
.add(name='res2b')
.relu(name='res2b_relu')
.conv(1, 64, 1, biased=False, relu=False, name='res2c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2a')
.conv(3, 64, 1, biased=False, relu=False, name='res2c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn2c_branch2b')
.conv(1, 256, 1, biased=False, relu=False, name='res2c_branch2c')
.batch_normalization(scale=True, center=True, name='bn2c_branch2c'))
(self.feed('res2b_relu',
'bn2c_branch2c')
.add(name='res2c')
.relu(name='res2c_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res3a_branch1')
.batch_normalization(scale=True, center=True, name='bn3a_branch1'))
(self.feed('res2c_relu')
.conv(1, 128, 2, biased=False, relu=False, name='res3a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3a_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3a_branch2c')
.batch_normalization(scale=True, center=True, name='bn3a_branch2c'))
(self.feed('bn3a_branch1',
'bn3a_branch2c')
.add(name='res3a')
.relu(name='res3a_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b1_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b1_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b1_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b1_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b1_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b1_branch2c'))
(self.feed('res3a_relu',
'bn3b1_branch2c')
.add(name='res3b1')
.relu(name='res3b1_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b2_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b2_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b2_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b2_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b2_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b2_branch2c'))
(self.feed('res3b1_relu',
'bn3b2_branch2c')
.add(name='res3b2')
.relu(name='res3b2_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b3_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b3_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b3_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b3_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b3_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b3_branch2c'))
(self.feed('res3b2_relu',
'bn3b3_branch2c')
.add(name='res3b3')
.relu(name='res3b3_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b4_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b4_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b4_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b4_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b4_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b4_branch2c'))
(self.feed('res3b3_relu',
'bn3b4_branch2c')
.add(name='res3b4')
.relu(name='res3b4_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b5_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b5_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b5_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b5_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b5_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b5_branch2c'))
(self.feed('res3b4_relu',
'bn3b5_branch2c')
.add(name='res3b5')
.relu(name='res3b5_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b6_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b6_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b6_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b6_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b6_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b6_branch2c'))
(self.feed('res3b5_relu',
'bn3b6_branch2c')
.add(name='res3b6')
.relu(name='res3b6_relu')
.conv(1, 128, 1, biased=False, relu=False, name='res3b7_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b7_branch2a')
.conv(3, 128, 1, biased=False, relu=False, name='res3b7_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn3b7_branch2b')
.conv(1, 512, 1, biased=False, relu=False, name='res3b7_branch2c')
.batch_normalization(scale=True, center=True, name='bn3b7_branch2c'))
(self.feed('res3b6_relu',
'bn3b7_branch2c')
.add(name='res3b7')
.relu(name='res3b7_relu')
.conv(1, 1024, 2, biased=False, relu=False, name='res4a_branch1')
.batch_normalization(scale=True, center=True, name='bn4a_branch1'))
(self.feed('res3b7_relu')
.conv(1, 256, 2, biased=False, relu=False, name='res4a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4a_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4a_branch2c')
.batch_normalization(scale=True, center=True, name='bn4a_branch2c'))
(self.feed('bn4a_branch1',
'bn4a_branch2c')
.add(name='res4a')
.relu(name='res4a_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b1_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b1_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b1_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b1_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b1_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b1_branch2c'))
(self.feed('res4a_relu',
'bn4b1_branch2c')
.add(name='res4b1')
.relu(name='res4b1_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b2_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b2_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b2_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b2_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b2_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b2_branch2c'))
(self.feed('res4b1_relu',
'bn4b2_branch2c')
.add(name='res4b2')
.relu(name='res4b2_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b3_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b3_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b3_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b3_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b3_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b3_branch2c'))
(self.feed('res4b2_relu',
'bn4b3_branch2c')
.add(name='res4b3')
.relu(name='res4b3_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b4_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b4_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b4_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b4_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b4_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b4_branch2c'))
(self.feed('res4b3_relu',
'bn4b4_branch2c')
.add(name='res4b4')
.relu(name='res4b4_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b5_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b5_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b5_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b5_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b5_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b5_branch2c'))
(self.feed('res4b4_relu',
'bn4b5_branch2c')
.add(name='res4b5')
.relu(name='res4b5_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b6_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b6_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b6_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b6_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b6_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b6_branch2c'))
(self.feed('res4b5_relu',
'bn4b6_branch2c')
.add(name='res4b6')
.relu(name='res4b6_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b7_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b7_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b7_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b7_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b7_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b7_branch2c'))
(self.feed('res4b6_relu',
'bn4b7_branch2c')
.add(name='res4b7')
.relu(name='res4b7_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b8_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b8_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b8_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b8_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b8_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b8_branch2c'))
(self.feed('res4b7_relu',
'bn4b8_branch2c')
.add(name='res4b8')
.relu(name='res4b8_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b9_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b9_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b9_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b9_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b9_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b9_branch2c'))
(self.feed('res4b8_relu',
'bn4b9_branch2c')
.add(name='res4b9')
.relu(name='res4b9_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b10_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b10_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b10_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b10_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b10_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b10_branch2c'))
(self.feed('res4b9_relu',
'bn4b10_branch2c')
.add(name='res4b10')
.relu(name='res4b10_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b11_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b11_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b11_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b11_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b11_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b11_branch2c'))
(self.feed('res4b10_relu',
'bn4b11_branch2c')
.add(name='res4b11')
.relu(name='res4b11_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b12_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b12_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b12_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b12_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b12_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b12_branch2c'))
(self.feed('res4b11_relu',
'bn4b12_branch2c')
.add(name='res4b12')
.relu(name='res4b12_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b13_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b13_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b13_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b13_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b13_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b13_branch2c'))
(self.feed('res4b12_relu',
'bn4b13_branch2c')
.add(name='res4b13')
.relu(name='res4b13_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b14_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b14_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b14_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b14_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b14_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b14_branch2c'))
(self.feed('res4b13_relu',
'bn4b14_branch2c')
.add(name='res4b14')
.relu(name='res4b14_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b15_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b15_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b15_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b15_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b15_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b15_branch2c'))
(self.feed('res4b14_relu',
'bn4b15_branch2c')
.add(name='res4b15')
.relu(name='res4b15_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b16_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b16_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b16_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b16_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b16_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b16_branch2c'))
(self.feed('res4b15_relu',
'bn4b16_branch2c')
.add(name='res4b16')
.relu(name='res4b16_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b17_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b17_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b17_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b17_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b17_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b17_branch2c'))
(self.feed('res4b16_relu',
'bn4b17_branch2c')
.add(name='res4b17')
.relu(name='res4b17_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b18_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b18_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b18_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b18_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b18_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b18_branch2c'))
(self.feed('res4b17_relu',
'bn4b18_branch2c')
.add(name='res4b18')
.relu(name='res4b18_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b19_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b19_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b19_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b19_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b19_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b19_branch2c'))
(self.feed('res4b18_relu',
'bn4b19_branch2c')
.add(name='res4b19')
.relu(name='res4b19_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b20_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b20_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b20_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b20_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b20_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b20_branch2c'))
(self.feed('res4b19_relu',
'bn4b20_branch2c')
.add(name='res4b20')
.relu(name='res4b20_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b21_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b21_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b21_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b21_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b21_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b21_branch2c'))
(self.feed('res4b20_relu',
'bn4b21_branch2c')
.add(name='res4b21')
.relu(name='res4b21_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b22_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b22_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b22_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b22_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b22_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b22_branch2c'))
(self.feed('res4b21_relu',
'bn4b22_branch2c')
.add(name='res4b22')
.relu(name='res4b22_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b23_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b23_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b23_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b23_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b23_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b23_branch2c'))
(self.feed('res4b22_relu',
'bn4b23_branch2c')
.add(name='res4b23')
.relu(name='res4b23_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b24_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b24_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b24_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b24_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b24_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b24_branch2c'))
(self.feed('res4b23_relu',
'bn4b24_branch2c')
.add(name='res4b24')
.relu(name='res4b24_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b25_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b25_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b25_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b25_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b25_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b25_branch2c'))
(self.feed('res4b24_relu',
'bn4b25_branch2c')
.add(name='res4b25')
.relu(name='res4b25_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b26_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b26_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b26_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b26_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b26_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b26_branch2c'))
(self.feed('res4b25_relu',
'bn4b26_branch2c')
.add(name='res4b26')
.relu(name='res4b26_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b27_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b27_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b27_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b27_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b27_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b27_branch2c'))
(self.feed('res4b26_relu',
'bn4b27_branch2c')
.add(name='res4b27')
.relu(name='res4b27_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b28_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b28_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b28_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b28_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b28_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b28_branch2c'))
(self.feed('res4b27_relu',
'bn4b28_branch2c')
.add(name='res4b28')
.relu(name='res4b28_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b29_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b29_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b29_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b29_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b29_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b29_branch2c'))
(self.feed('res4b28_relu',
'bn4b29_branch2c')
.add(name='res4b29')
.relu(name='res4b29_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b30_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b30_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b30_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b30_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b30_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b30_branch2c'))
(self.feed('res4b29_relu',
'bn4b30_branch2c')
.add(name='res4b30')
.relu(name='res4b30_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b31_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b31_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b31_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b31_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b31_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b31_branch2c'))
(self.feed('res4b30_relu',
'bn4b31_branch2c')
.add(name='res4b31')
.relu(name='res4b31_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b32_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b32_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b32_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b32_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b32_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b32_branch2c'))
(self.feed('res4b31_relu',
'bn4b32_branch2c')
.add(name='res4b32')
.relu(name='res4b32_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b33_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b33_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b33_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b33_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b33_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b33_branch2c'))
(self.feed('res4b32_relu',
'bn4b33_branch2c')
.add(name='res4b33')
.relu(name='res4b33_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b34_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b34_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b34_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b34_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b34_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b34_branch2c'))
(self.feed('res4b33_relu',
'bn4b34_branch2c')
.add(name='res4b34')
.relu(name='res4b34_relu')
.conv(1, 256, 1, biased=False, relu=False, name='res4b35_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b35_branch2a')
.conv(3, 256, 1, biased=False, relu=False, name='res4b35_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn4b35_branch2b')
.conv(1, 1024, 1, biased=False, relu=False, name='res4b35_branch2c')
.batch_normalization(scale=True, center=True, name='bn4b35_branch2c'))
(self.feed('res4b34_relu',
'bn4b35_branch2c')
.add(name='res4b35')
.relu(name='res4b35_relu')
.conv(1, 2048, 2, biased=False, relu=False, name='res5a_branch1')
.batch_normalization(scale=True, center=True, name='bn5a_branch1'))
(self.feed('res4b35_relu')
.conv(1, 512, 2, biased=False, relu=False, name='res5a_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5a_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5a_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5a_branch2c')
.batch_normalization(scale=True, center=True, name='bn5a_branch2c'))
(self.feed('bn5a_branch1',
'bn5a_branch2c')
.add(name='res5a')
.relu(name='res5a_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5b_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5b_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5b_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5b_branch2c')
.batch_normalization(scale=True, center=True, name='bn5b_branch2c'))
(self.feed('res5a_relu',
'bn5b_branch2c')
.add(name='res5b')
.relu(name='res5b_relu')
.conv(1, 512, 1, biased=False, relu=False, name='res5c_branch2a')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2a')
.conv(3, 512, 1, biased=False, relu=False, name='res5c_branch2b')
.batch_normalization(scale=True, center=True, relu=True, name='bn5c_branch2b')
.conv(1, 2048, 1, biased=False, relu=False, name='res5c_branch2c')
.batch_normalization(scale=True, center=True, name='bn5c_branch2c'))
(self.feed('res5b_relu',
'bn5c_branch2c')
.add(name='res5c')
.relu(name='res5c_relu')
.avg_pool(7, 1, padding='VALID', name='pool5'))
if not self.fcn:
(self.feed('pool5')
.fc(1000, relu=False, name='fc1000')
.softmax(name='prob'))
| 58.117797
| 93
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| 8,094
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| 0.908582
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| 0.08765
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| 68,579
| 1,179
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| 58.167091
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| 0.00283
| false
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| 0.000943
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| 0.006604
| 0
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| null | 0
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| 1
| 1
| 1
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0
| 7
|
16648173ad23a422483b74d64cbfe94477a921fe
| 33,305
|
py
|
Python
|
inventory/categories/api/tests/test_categories_api.py
|
cnobile2012/inventory
|
bc09ccdead39a5cd758088dbfe5c56dec43c7e29
|
[
"MIT"
] | 10
|
2015-02-16T17:12:44.000Z
|
2021-06-04T18:14:01.000Z
|
inventory/categories/api/tests/test_categories_api.py
|
cnobile2012/inventory
|
bc09ccdead39a5cd758088dbfe5c56dec43c7e29
|
[
"MIT"
] | 1
|
2021-09-20T01:17:38.000Z
|
2021-09-20T01:17:50.000Z
|
inventory/categories/api/tests/test_categories_api.py
|
cnobile2012/inventory
|
bc09ccdead39a5cd758088dbfe5c56dec43c7e29
|
[
"MIT"
] | 5
|
2015-09-09T02:01:33.000Z
|
2021-05-29T09:09:14.000Z
|
# -*- coding: utf-8 -*-
#
# inventory/categories/api/tests/test_categories_api.py
#
from django.contrib.auth import get_user_model
from rest_framework.reverse import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from inventory.categories.models import Category
from inventory.common.api.tests.base_test import BaseTest
from inventory.projects.models import Membership
UserModel = get_user_model()
class TestCategoryAPI(BaseTest, APITestCase):
DEFAULT_USER = UserModel.ROLE_MAP[UserModel.DEFAULT_USER]
PROJECT_USER = Membership.ROLE_MAP[Membership.PROJECT_USER]
def __init__(self, name):
super().__init__(name)
def setUp(self):
super().setUp()
# Create an InventoryType and Project.
self.in_type = self._create_inventory_type()
members = [
{'user': self.user, 'role_text': self.PROJECT_USER}
]
self.project = self._create_project(self.in_type, members=members)
kwargs = {'public_id': self.project.public_id}
self.project_uri = reverse('project-detail', kwargs=kwargs)
def get_category_field(self, uri, field):
"""
Get a category and return the value of the provided field.
"""
response = self.client.get(uri, format='json')
return response.data.get(field)
def test_GET_category_list_with_invalid_permissions(self):
"""
Test the category_list endpoint with no permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'get'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-list')
self._test_users_with_invalid_permissions(uri, method)
self._test_project_users_with_invalid_permissions(uri, method)
def test_GET_category_list_with_valid_permissions(self):
"""
Test the category_list endpoint with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'get'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-list')
self._test_users_with_valid_permissions(
uri, method, default_user=False)
self._test_project_users_with_valid_permissions(uri, method)
def test_POST_category_list_with_invalid_permissions(self):
"""
Test that a POST to category_list fails with invalid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'post'
uri = reverse('category-list')
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
def test_POST_category_list_with_valid_permissions(self):
"""
Test that a POST to category_list passes with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'post'
uri = reverse('category-list')
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
ad = data.setdefault('AD', su.copy())
ad['name'] = 'TestCategory-02'
du = data.setdefault('DU', su.copy())
du['name'] = 'TestCategory-03'
self._test_users_with_valid_permissions(
uri, method, request_data=data)
pow = data.setdefault('POW', su.copy())
pow['name'] = 'TestCategory-04'
pma = data.setdefault('PMA', su.copy())
pma['name'] = 'TestCategory-05'
pdu = data.setdefault('PDU', su.copy())
pdu['name'] = 'TestCategory-06'
self._test_project_users_with_valid_permissions(
uri, method, project_user=False, request_data=data)
def test_OPTIONS_category_list_with_invalid_permissions(self):
"""
Test that the method OPTIONS fails with invald permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'options'
uri = reverse('category-list')
self._test_users_with_invalid_permissions(uri, method)
self._test_project_users_with_invalid_permissions(uri, method)
def test_OPTIONS_category_list_with_valid_permissions(self):
"""
Test that the method OPTIONS brings back the correct data.
"""
method = 'options'
uri = reverse('category-list')
self._test_users_with_valid_permissions(uri, method)
self._test_project_users_with_valid_permissions(uri, method)
def test_GET_category_detail_with_invalid_permissions(self):
"""
Test that a GET on the category_detail fails with invalid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'get'
self._test_users_with_invalid_permissions(uri, method)
self._test_project_users_with_invalid_permissions(uri, method)
def test_GET_category_detail_with_valid_permissions(self):
"""
Test that a GET to category_detail passes with valid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'get'
self._test_users_with_valid_permissions(uri, method)
self._test_project_users_with_valid_permissions(uri, method)
def test_PUT_category_detail_with_invalid_permissions(self):
"""
Test that a PUT to category_detail fails with invalid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'put'
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
def test_PUT_category_detail_with_valid_permissions(self):
"""
Test that a PUT to category_detail passes with valid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'put'
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
ad = data.setdefault('AD', su.copy())
ad['name'] = 'TestCategory-02'
du = data.setdefault('DU', su.copy())
du['name'] = 'TestCategory-03'
self._test_users_with_valid_permissions(
uri, method, request_data=data)
pow = data.setdefault('POW', su.copy())
pow['name'] = 'TestCategory-04'
pma = data.setdefault('PMA', su.copy())
pma['name'] = 'TestCategory-05'
pdu = data.setdefault('PDU', su.copy())
pdu['name'] = 'TestCategory-06'
self._test_project_users_with_valid_permissions(
uri, method, project_user=False, request_data=data)
def test_PATCH_category_detail_with_invalid_permissions(self):
"""
Test that a PATCH to category_detail fails with invalid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'patch'
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
def test_PATCH_category_detail_with_valid_permissions(self):
"""
Test that a PATCH to category_detail passes with valid permissions.
"""
#self.skipTest("Temporarily skipped")
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
method = 'patch'
data = {}
su = data.setdefault('SU', {})
su['name'] = 'TestCategory-01'
su['project'] = self.project_uri
ad = data.setdefault('AD', {})
ad['name'] = 'TestCategory-02'
du = data.setdefault('DU', {})
du['name'] = 'TestCategory-03'
self._test_users_with_valid_permissions(
uri, method, request_data=data)
pow = data.setdefault('POW', {})
pow['name'] = 'TestCategory-04'
pma = data.setdefault('PMA', {})
pma['name'] = 'TestCategory-05'
pdu = data.setdefault('PDU', {})
pdu['name'] = 'TestCategory-06'
self._test_project_users_with_valid_permissions(
uri, method, project_user=False, request_data=data)
def test_DELETE_category_detail_with_invalid_permissions(self):
"""
Test that a DELETE to category_detail fails with invalid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'delete'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_users_with_invalid_permissions(uri, method)
self._test_project_users_with_invalid_permissions(uri, method)
def test_DELETE_category_detail_with_valid_permissions(self):
"""
Test that a DELETE to category_detail pass' with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'delete'
# Test SUPERUSER
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_superuser_with_valid_permissions(uri, method)
self._test_valid_GET_with_errors(uri)
# Test ADMINISTRATOR
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_administrator_with_valid_permissions(uri, method)
self._test_valid_GET_with_errors(uri)
# Test DEFAULT_USER
## This is an invalid test since the DEFAULT_USER has no access.
# Test PROJECT_OWNER
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_project_owner_with_valid_permissions(uri, method)
self._test_valid_GET_with_errors(uri)
# Test PROJECT_MANAGER
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_project_manager_with_valid_permissions(uri, method)
self._test_valid_GET_with_errors(uri)
# Test PROJECT_USER
## This is an invalid test since the PROJECT_USER has no access.
def test_OPTIONS_category_detail_with_invalid_permissions(self):
"""
Test that the method OPTIONS fails with invald permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'options'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_users_with_invalid_permissions(uri, method)
self._test_project_users_with_invalid_permissions(uri, method)
def test_OPTIONS_category_detail_with_valid_permissions(self):
"""
Test that the method OPTIONS brings back the correct data.
"""
method = 'options'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
self._test_users_with_valid_permissions(uri, method)
self._test_project_users_with_valid_permissions(uri, method)
def test_create_category_twice_to_same_parent(self):
"""
Test that a category is not created twice with the same composite key.
"""
#self.skipTest("Temporarily skipped")
# Create Category one.
uri = reverse('category-list')
new_data = {'name': 'TestCategory-1',
'project': self.project_uri}
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_201_CREATED, response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED, msg)
# Create Category two.
parent_uri = response.data.get('href')
uri = reverse('category-list')
new_data = {'name': 'TestCategory-2',
'parent': parent_uri,
'project': self.project_uri}
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_201_CREATED, response.data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED, msg)
# Create Category two again--should fail.
uri = reverse('category-list')
new_data = {'name': 'TestCategory-2',
'parent': parent_uri,
'project': self.project_uri}
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_400_BAD_REQUEST, response.data)
self.assertEqual(
response.status_code, status.HTTP_400_BAD_REQUEST, msg)
def test_delimitor_in_category_name(self):
"""
Test that the delimitor is not in the category name.
"""
#self.skipTest("Temporarily skipped")
# Create Category one.
uri = reverse('category-list')
new_data = {'name': 'Test{}Category-1'.format(
Category.DEFAULT_SEPARATOR),
'project': self.project_uri}
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_400_BAD_REQUEST, response.data)
self.assertEqual(
response.status_code, status.HTTP_400_BAD_REQUEST, msg)
self.assertTrue(self._has_error(response, 'name'), msg)
self._test_errors(response, tests={
'name': u"A category name cannot ",
})
def test_category_is_not_parent(self):
"""
Test that this category does not exist in the current tree.
"""
#self.skipTest("Temporarily skipped")
# Create three catagories.
name = "Test Category 1"
cat0 = self._create_category(self.project, name=name)
name = "Test Category 2"
cat1 = self._create_category(self.project, name=name, parent=cat0)
name = "Test Category 3"
cat2 = self._create_category(self.project, name=name, parent=cat1)
# Try adding 'Test Category 2' to the tree using the API.
uri = reverse('category-list')
cat2_uri = reverse('category-detail',
kwargs={'public_id': cat2.public_id})
new_data = {'name': "Test Category 2",
'project': self.project_uri,
'parent': cat2_uri}
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_400_BAD_REQUEST, response.data)
self.assertEqual(
response.status_code, status.HTTP_400_BAD_REQUEST, msg)
self.assertTrue(self._has_error(response, 'name'), msg)
self._test_errors(response, tests={
'name': u"A category in this tree ",
})
def test_root_level_category_exists(self):
"""
Test that there are no root level categories with this name that
already exist for this owner.
"""
#self.skipTest("Temporarily skipped")
# Create a catagory.
name = "Duplicate Name"
cat = self._create_category(self.project, name=name)
# Create a category through the API.
new_data = {'name': name,
'project': self.project_uri}
uri = reverse('category-list')
response = self.client.post(uri, new_data, format='json')
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_400_BAD_REQUEST, response.data)
self.assertEqual(
response.status_code, status.HTTP_400_BAD_REQUEST, msg)
self.assertTrue(self._has_error(response, 'name'), msg)
self._test_errors(response, tests={
'name': u"A root level category name ",
})
def test_wrong_user_gets_no_results(self):
"""
Test that the request user gets no results of categories that are
in a different project. This test determines that a user of one
project does not have access to another project's objects.
"""
#self.skipTest("Temporarily skipped")
# Create new user
user, client = self._create_user(
username="SecondUser", password="0987654321")
# Create a new project
p_name = "Test Project_1"
project = self._create_project(self.in_type, name=p_name)
# Create a category
c_name = "Test Category 1"
category = self._create_category(project, name=c_name)
# GET category on the API
uri = reverse('category-list')
response = client.get(uri, format='json', **self.HEADERS)
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_403_FORBIDDEN, response.data)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN, msg)
self.assertTrue(self._has_error(response), msg)
self._test_errors(response, tests={
'detail': "You do not have permission to perform this action.",
})
# Test GET on a category detail
uri = reverse('category-detail',
kwargs={'public_id': category.public_id})
response = client.get(uri, format='json', **self.HEADERS)
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_403_FORBIDDEN, response.data)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN, msg)
self.assertTrue(self._has_error(response), msg)
self._test_errors(response, tests={
'detail': "You do not have permission to perform this action.",
})
# Test PUT to a specific category
data = {'name': 'Changed Category'}
response = client.patch(uri, data=data, format='json', **self.HEADERS)
msg = ("Response: {} should be {}, content: {}, user: {}, "
"project creator: {}").format(
response.status_code, status.HTTP_403_FORBIDDEN, response.data,
user, project.creator)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN, msg)
self.assertTrue(self._has_error(response), msg)
self._test_errors(response, tests={
'detail': "You do not have permission to perform this action.",
})
class TestCategoryCloneAPI(BaseTest):
def __init__(self, name):
super().__init__(name)
def setUp(self):
super().setUp()
# Create an InventoryType and Project.
self.in_type = self._create_inventory_type()
self.project = self._create_project(self.in_type, members=[self.user])
kwargs = {'public_id': self.project.public_id}
self.project_uri = reverse('project-detail', kwargs=kwargs)
def flatten(self, items):
"""
Given a list, possibly nested to any level, return it flattened.
http://code.activestate.com/recipes/578948-flattening-an-arbitrarily-nested-list-in-python/
"""
flattened = []
for item in items:
if isinstance(item, list):
flattened.extend(self.flatten(item))
else:
flattened.append(item)
return flattened
def test_GET_category_clone_with_invalid_permissions(self):
"""
Test the category_clone endpoint with no permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'get'
category = self._create_category(self.project, "Test Root Category")
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = [category.public_id]
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
def test_GET_category_clone_with_valid_permissions(self):
"""
Test the category_clone endpoint with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'get'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = [categories[0][0].public_id] # 'TestLevel-0'
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_valid_permissions(
uri, method, request_data=data, default_user=False)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_valid_permissions(
uri, method, request_data=data)
def test_GET_category_clone_with_parameters(self):
"""
Test the location_clone endpoint with various parameters.
"""
#self.skipTest("Temporarily skipped")
method = 'get'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
data['categories'] = [categories[0][0].public_id] # 'TestLevel-0'
data['project'] = self.project.public_id
# Test with default arguments.
response = self.client.get(uri, data=data, format='json',
**self.HEADERS)
res_data = self.flatten(response.data)
msg = ("data: {}, found '{}' records , should be 5 records"
).format(res_data, len(res_data))
self.assertEqual(len(res_data), 5, msg)
# Test with with_root=False
data['with_root'] = False
response = self.client.get(uri, data=data, format='json',
**self.HEADERS)
res_data = self.flatten(response.data)
msg = ("data: {}, found '{}' records , should be 4 records"
).format(res_data, len(res_data))
self.assertEqual(len(res_data), 4, msg)
def test_POST_category_clone_with_invalid_permissions(self):
"""
Test the category_clone endpoint with no permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'post'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = create_list
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
categories = Category.objects.all()
msg = "categories: {}, count: {}, should be 0".format(
categories, categories.count())
self.assertEqual(categories.count(), 0, msg)
def test_POST_category_clone_with_valid_permissions(self):
"""
Test the category_clone endpoint with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'post'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = create_list
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_valid_permissions(
uri, method, request_data=data, default_user=False)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_valid_permissions(
uri, method, request_data=data, project_user=False)
categories = Category.objects.all()
msg = "categories: {}, count: {}, should be 5".format(
categories, categories.count())
self.assertEqual(categories.count(), 5, msg)
def test_DELETE_category_clone_with_invalid_permissions(self):
"""
Test the category_clone endpoint with no permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'delete'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = [categories[0][0].public_id]
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_invalid_permissions(
uri, method, request_data=data)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_invalid_permissions(
uri, method, request_data=data)
categories = Category.objects.all()
msg = "categories: {}, count: {}, should be 5".format(
categories, categories.count())
self.assertEqual(categories.count(), 5, msg)
def test_DELETE_category_clone_with_valid_permissions(self):
"""
Test the category_clone endpoint with valid permissions.
"""
#self.skipTest("Temporarily skipped")
method = 'delete'
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
su = data.setdefault('SU', {})
su['categories'] = [categories[0][0].public_id]
su['project'] = self.project.public_id
data.setdefault('AD', su.copy())
data.setdefault('DU', su.copy())
self._test_users_with_valid_permissions(
uri, method, request_data=data, default_user=False)
data.setdefault('POW', su.copy())
data.setdefault('PMA', su.copy())
data.setdefault('PDU', su.copy())
self._test_project_users_with_valid_permissions(
uri, method, request_data=data, project_user=False)
categories = Category.objects.all()
msg = "categories: {}, count: {}, should be 0".format(
categories, categories.count())
self.assertEqual(categories.count(), 0, msg)
def test_category_clone_serializer_validation_errors_on_project(self):
"""
Test that invalid data causes validation errors.
"""
#self.skipTest("Temporarily skipped")
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
data['categories'] = [categories[0][0].public_id]
data['project'] = 'junk'
kwargs = self._setup_user_credentials()
kwargs['login'] = True
kwargs['is_superuser'] = False
kwargs['role'] = self.DEFAULT_USER
user, client = self._create_user(**kwargs)
self.project.process_members([self.user, user])
self.project.set_role(user, self.PROJECT_USER)
response = client.get(uri, data=data, format='json', **self.HEADERS)
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status.HTTP_400_BAD_REQUEST, response.data)
self.assertEqual(
response.status_code, status.HTTP_400_BAD_REQUEST, msg)
self.assertTrue(self._has_error(response, error_key='project'), msg)
self._test_errors(response, tests={
'project': "A project with the public_id 'junk' does not exist.",
})
def test_category_clone_serializer_validation_errors_on_categories(self):
"""
Test that invalid data causes validation errors.
"""
#self.skipTest("Temporarily skipped")
create_list = [['TestLevel-0', (('TestLevel-1', 'TestLevel-2',),
('TestLevel-1a', 'TestLevel-2a',))]]
categories = Category.objects.create_category_tree(
self.project, create_list)
uri = reverse('category-clone')
data = {}
data['categories'] = []
data['project'] = self.project.public_id
kwargs = self._setup_user_credentials()
kwargs['login'] = True
kwargs['is_superuser'] = False
kwargs['role'] = self.DEFAULT_USER
user, client = self._create_user(**kwargs)
self.project.process_members([self.user, user])
self.project.set_role(user, self.PROJECT_USER)
status_code = status.HTTP_400_BAD_REQUEST
response = client.get(uri, data=data, **self.HEADERS)
msg = "Response: {} should be {}, content: {}".format(
response.status_code, status_code, response.data)
self.assertEqual(response.status_code, status_code, msg)
self.assertTrue(self._has_error(response, error_key='categories'), msg)
self._test_errors(response, tests={
'categories': "This field is required.",
})
| 43.707349
| 99
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0
| 7
|
16b662960cce6b499c7cf16d11016419ea30ac8d
| 4,472
|
py
|
Python
|
tests/application_directories_test.py
|
mwtoews/absolufy-imports
|
e8d184d59900f29497bf9998c947d8fe43b7d8e3
|
[
"MIT"
] | 76
|
2021-02-28T21:34:31.000Z
|
2022-03-23T21:11:27.000Z
|
tests/application_directories_test.py
|
mwtoews/absolufy-imports
|
e8d184d59900f29497bf9998c947d8fe43b7d8e3
|
[
"MIT"
] | 39
|
2021-03-01T16:47:44.000Z
|
2022-03-21T21:48:49.000Z
|
tests/application_directories_test.py
|
mwtoews/absolufy-imports
|
e8d184d59900f29497bf9998c947d8fe43b7d8e3
|
[
"MIT"
] | 6
|
2021-03-02T20:23:48.000Z
|
2022-01-20T08:44:53.000Z
|
import os
import shutil
from absolufy_imports import main
def test_main(tmpdir):
# make src/mypackage/mysubpackage/bar.py
os.mkdir(os.path.join(str(tmpdir), 'src'))
os.mkdir(os.path.join(str(tmpdir), 'src', 'mypackage'))
os.mkdir(os.path.join(str(tmpdir), 'src', 'mypackage', 'mysubpackage'))
tmp_file = os.path.join(
str(tmpdir), 'src', 'mypackage', 'mysubpackage', 'bar.py',
)
shutil.copy(
os.path.join('tests', 'data', 'bar.py'), tmp_file,
)
# make mypackage/mysubpackage/bar.py
os.mkdir(os.path.join(str(tmpdir), 'mypackage'))
os.mkdir(os.path.join(str(tmpdir), 'mypackage', 'mysubpackage'))
tmp_file_1 = os.path.join(
str(tmpdir), 'mypackage', 'mysubpackage', 'bar.py',
)
shutil.copy(
os.path.join('tests', 'data', 'bar.py'), tmp_file_1,
)
cwd = os.getcwd()
os.chdir(str(tmpdir))
try:
main(
(
os.path.join(
str(tmpdir), 'mypackage',
'mysubpackage', 'bar.py',
),
os.path.join(
str(tmpdir), 'src', 'mypackage',
'mysubpackage', 'bar.py',
),
'--application-directories',
'.:src',
),
)
finally:
os.chdir(cwd)
with open(tmp_file) as fd:
result = fd.read()
expected = (
'from mypackage.mysubpackage import B\n'
'from mypackage.mysubpackage.bar import baz\n'
'from mypackage.foo import T\n'
'from mypackage.mysubpackage.bar import D\n'
'from mypackage.mysubpackage import O\n'
'from datetime import datetime\n'
'\n'
'print(T)\n'
'print(D)\n'
)
assert result == expected
with open(tmp_file_1) as fd:
result = fd.read()
expected = (
'from mypackage.mysubpackage import B\n'
'from mypackage.mysubpackage.bar import baz\n'
'from mypackage.foo import T\n'
'from mypackage.mysubpackage.bar import D\n'
'from mypackage.mysubpackage import O\n'
'from datetime import datetime\n'
'\n'
'print(T)\n'
'print(D)\n'
)
assert result == expected
def test_main_inverted_order(tmpdir):
# make src/mypackage/mysubpackage/bar.py
os.mkdir(os.path.join(str(tmpdir), 'src'))
os.mkdir(os.path.join(str(tmpdir), 'src', 'mypackage'))
os.mkdir(os.path.join(str(tmpdir), 'src', 'mypackage', 'mysubpackage'))
tmp_file = os.path.join(
str(tmpdir), 'src', 'mypackage', 'mysubpackage', 'bar.py',
)
shutil.copy(
os.path.join('tests', 'data', 'bar.py'), tmp_file,
)
# make mypackage/mysubpackage/bar.py
os.mkdir(os.path.join(str(tmpdir), 'mypackage'))
os.mkdir(os.path.join(str(tmpdir), 'mypackage', 'mysubpackage'))
tmp_file_1 = os.path.join(
str(tmpdir), 'mypackage', 'mysubpackage', 'bar.py',
)
shutil.copy(
os.path.join('tests', 'data', 'bar.py'), tmp_file_1,
)
cwd = os.getcwd()
os.chdir(str(tmpdir))
try:
main(
(
os.path.join(
str(tmpdir), 'mypackage',
'mysubpackage', 'bar.py',
),
os.path.join(
str(tmpdir), 'src', 'mypackage',
'mysubpackage', 'bar.py',
),
'--application-directories',
'.:src',
),
)
finally:
os.chdir(cwd)
with open(tmp_file) as fd:
result = fd.read()
expected = (
'from mypackage.mysubpackage import B\n'
'from mypackage.mysubpackage.bar import baz\n'
'from mypackage.foo import T\n'
'from mypackage.mysubpackage.bar import D\n'
'from mypackage.mysubpackage import O\n'
'from datetime import datetime\n'
'\n'
'print(T)\n'
'print(D)\n'
)
assert result == expected
with open(tmp_file_1) as fd:
result = fd.read()
expected = (
'from mypackage.mysubpackage import B\n'
'from mypackage.mysubpackage.bar import baz\n'
'from mypackage.foo import T\n'
'from mypackage.mysubpackage.bar import D\n'
'from mypackage.mysubpackage import O\n'
'from datetime import datetime\n'
'\n'
'print(T)\n'
'print(D)\n'
)
assert result == expected
| 29.615894
| 75
| 0.542263
| 523
| 4,472
| 4.592734
| 0.099426
| 0.279767
| 0.09159
| 0.097419
| 0.965029
| 0.965029
| 0.965029
| 0.965029
| 0.965029
| 0.965029
| 0
| 0.001947
| 0.311047
| 4,472
| 150
| 76
| 29.813333
| 0.77767
| 0.032871
| 0
| 0.842105
| 0
| 0
| 0.338426
| 0.100463
| 0
| 0
| 0
| 0
| 0.030075
| 1
| 0.015038
| false
| 0
| 0.203008
| 0
| 0.218045
| 0.06015
| 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
|
bc474e563d51c8f57624ed4c2cdc1cece6ae2dcf
| 637
|
py
|
Python
|
jats_vae/jats_cls_types.py
|
kiwi0fruit/jats-semi-supervised-pytorch
|
67e9bb85f09f8ef02e17e495784d1d9a71c3adec
|
[
"MIT"
] | null | null | null |
jats_vae/jats_cls_types.py
|
kiwi0fruit/jats-semi-supervised-pytorch
|
67e9bb85f09f8ef02e17e495784d1d9a71c3adec
|
[
"MIT"
] | null | null | null |
jats_vae/jats_cls_types.py
|
kiwi0fruit/jats-semi-supervised-pytorch
|
67e9bb85f09f8ef02e17e495784d1d9a71c3adec
|
[
"MIT"
] | null | null | null |
from abc import abstractmethod
from torch import Tensor
from torch.nn import Module
class ModuleXYToX(Module):
@abstractmethod
def forward_(self, x: Tensor, y: Tensor) -> Tensor:
raise NotImplementedError
def forward(self, x: Tensor, y: Tensor) -> Tensor: # pylint: disable=arguments-differ
return self.forward_(x=x, y=y)
class ModuleXOptYToX(Module):
@abstractmethod
def forward_(self, x: Tensor, y: Tensor=None) -> Tensor:
raise NotImplementedError
def forward(self, x: Tensor, y: Tensor=None) -> Tensor: # pylint: disable=arguments-differ
return self.forward_(x=x, y=y)
| 28.954545
| 95
| 0.690738
| 81
| 637
| 5.382716
| 0.296296
| 0.091743
| 0.12844
| 0.137615
| 0.756881
| 0.756881
| 0.756881
| 0.756881
| 0.756881
| 0.518349
| 0
| 0
| 0.204082
| 637
| 21
| 96
| 30.333333
| 0.859961
| 0.102041
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.266667
| false
| 0
| 0.2
| 0.133333
| 0.733333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
bc5389889b3a1673e81e87b6e1f89d2f3e4c5bcc
| 44,776
|
py
|
Python
|
sdk/lusid/api/property_definitions_api.py
|
bogdanLicaFinbourne/lusid-sdk-python-preview
|
f0f91f992e0417733c4c8abd2674d080a52b6890
|
[
"MIT"
] | null | null | null |
sdk/lusid/api/property_definitions_api.py
|
bogdanLicaFinbourne/lusid-sdk-python-preview
|
f0f91f992e0417733c4c8abd2674d080a52b6890
|
[
"MIT"
] | null | null | null |
sdk/lusid/api/property_definitions_api.py
|
bogdanLicaFinbourne/lusid-sdk-python-preview
|
f0f91f992e0417733c4c8abd2674d080a52b6890
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
LUSID API
FINBOURNE Technology # noqa: E501
The version of the OpenAPI document: 0.11.2863
Contact: info@finbourne.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from lusid.api_client import ApiClient
from lusid.exceptions import (
ApiTypeError,
ApiValueError
)
class PropertyDefinitionsApi(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_derived_property_definition(self, create_derived_property_definition_request, **kwargs): # noqa: E501
"""[EXPERIMENTAL] Create derived property definition # noqa: E501
Define a new derived property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_derived_property_definition(create_derived_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreateDerivedPropertyDefinitionRequest create_derived_property_definition_request: The definition of the new derived property. (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: PropertyDefinition
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.create_derived_property_definition_with_http_info(create_derived_property_definition_request, **kwargs) # noqa: E501
def create_derived_property_definition_with_http_info(self, create_derived_property_definition_request, **kwargs): # noqa: E501
"""[EXPERIMENTAL] Create derived property definition # noqa: E501
Define a new derived property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_derived_property_definition_with_http_info(create_derived_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreateDerivedPropertyDefinitionRequest create_derived_property_definition_request: The definition of the new derived property. (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(PropertyDefinition, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['create_derived_property_definition_request'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method create_derived_property_definition" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'create_derived_property_definition_request' is set
if ('create_derived_property_definition_request' not in local_var_params or
local_var_params['create_derived_property_definition_request'] is None):
raise ApiValueError("Missing the required parameter `create_derived_property_definition_request` when calling `create_derived_property_definition`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'create_derived_property_definition_request' in local_var_params:
body_params = local_var_params['create_derived_property_definition_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions/derived', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PropertyDefinition', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def create_property_definition(self, create_property_definition_request, **kwargs): # noqa: E501
"""Create property definition # noqa: E501
Define a new property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_property_definition(create_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreatePropertyDefinitionRequest create_property_definition_request: The definition of the new property. (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: PropertyDefinition
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.create_property_definition_with_http_info(create_property_definition_request, **kwargs) # noqa: E501
def create_property_definition_with_http_info(self, create_property_definition_request, **kwargs): # noqa: E501
"""Create property definition # noqa: E501
Define a new property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_property_definition_with_http_info(create_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param CreatePropertyDefinitionRequest create_property_definition_request: The definition of the new property. (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(PropertyDefinition, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['create_property_definition_request'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method create_property_definition" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'create_property_definition_request' is set
if ('create_property_definition_request' not in local_var_params or
local_var_params['create_property_definition_request'] is None):
raise ApiValueError("Missing the required parameter `create_property_definition_request` when calling `create_property_definition`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'create_property_definition_request' in local_var_params:
body_params = local_var_params['create_property_definition_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PropertyDefinition', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_property_definition(self, domain, scope, code, **kwargs): # noqa: E501
"""Delete property definition # noqa: E501
Delete the definition of the specified property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_property_definition(domain, scope, code, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the property to be deleted. (required)
:param str scope: The scope of the property to be deleted. (required)
:param str code: The code of the property to be deleted. Together with the domain and scope this uniquely identifies the property. (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: DeletedEntityResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.delete_property_definition_with_http_info(domain, scope, code, **kwargs) # noqa: E501
def delete_property_definition_with_http_info(self, domain, scope, code, **kwargs): # noqa: E501
"""Delete property definition # noqa: E501
Delete the definition of the specified property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_property_definition_with_http_info(domain, scope, code, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the property to be deleted. (required)
:param str scope: The scope of the property to be deleted. (required)
:param str code: The code of the property to be deleted. Together with the domain and scope this uniquely identifies the property. (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(DeletedEntityResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['domain', 'scope', 'code'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_property_definition" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'domain' is set
if ('domain' not in local_var_params or
local_var_params['domain'] is None):
raise ApiValueError("Missing the required parameter `domain` when calling `delete_property_definition`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) > 64):
raise ApiValueError("Invalid value for parameter `scope` when calling `delete_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) < 1):
raise ApiValueError("Invalid value for parameter `scope` when calling `delete_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501
raise ApiValueError("Invalid value for parameter `scope` when calling `delete_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) > 64):
raise ApiValueError("Invalid value for parameter `code` when calling `delete_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) < 1):
raise ApiValueError("Invalid value for parameter `code` when calling `delete_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501
raise ApiValueError("Invalid value for parameter `code` when calling `delete_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'domain' in local_var_params:
path_params['domain'] = local_var_params['domain'] # noqa: E501
if 'scope' in local_var_params:
path_params['scope'] = local_var_params['scope'] # noqa: E501
if 'code' in local_var_params:
path_params['code'] = local_var_params['code'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions/{domain}/{scope}/{code}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeletedEntityResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_multiple_property_definitions(self, property_keys, **kwargs): # noqa: E501
"""Get multiple property definitions # noqa: E501
Retrieve the definition of one or more specified properties. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_multiple_property_definitions(property_keys, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param list[str] property_keys: One or more property keys which identify each property that a definition should be retrieved for. The format for each property key is {domain}/{scope}/{code}, e.g. 'Portfolio/Manager/Id'. (required)
:param datetime as_at: The asAt datetime at which to retrieve the property definitions. Defaults to return the latest version of each definition if not specified.
:param str filter: Expression to filter the result set. For example, to filter on the Lifetime, use \"lifeTime eq 'Perpetual'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: ResourceListOfPropertyDefinition
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_multiple_property_definitions_with_http_info(property_keys, **kwargs) # noqa: E501
def get_multiple_property_definitions_with_http_info(self, property_keys, **kwargs): # noqa: E501
"""Get multiple property definitions # noqa: E501
Retrieve the definition of one or more specified properties. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_multiple_property_definitions_with_http_info(property_keys, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param list[str] property_keys: One or more property keys which identify each property that a definition should be retrieved for. The format for each property key is {domain}/{scope}/{code}, e.g. 'Portfolio/Manager/Id'. (required)
:param datetime as_at: The asAt datetime at which to retrieve the property definitions. Defaults to return the latest version of each definition if not specified.
:param str filter: Expression to filter the result set. For example, to filter on the Lifetime, use \"lifeTime eq 'Perpetual'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(ResourceListOfPropertyDefinition, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['property_keys', 'as_at', 'filter'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_multiple_property_definitions" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'property_keys' is set
if ('property_keys' not in local_var_params or
local_var_params['property_keys'] is None):
raise ApiValueError("Missing the required parameter `property_keys` when calling `get_multiple_property_definitions`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
if 'as_at' in local_var_params:
query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501
if 'filter' in local_var_params:
query_params.append(('filter', local_var_params['filter'])) # noqa: E501
if 'property_keys' in local_var_params:
query_params.append(('propertyKeys', local_var_params['property_keys'])) # noqa: E501
collection_formats['propertyKeys'] = 'multi' # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ResourceListOfPropertyDefinition', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_property_definition(self, domain, scope, code, **kwargs): # noqa: E501
"""Get property definition # noqa: E501
Retrieve the definition of a specified property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_property_definition(domain, scope, code, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the specified property. (required)
:param str scope: The scope of the specified property. (required)
:param str code: The code of the specified property. Together with the domain and scope this uniquely identifies the property. (required)
:param datetime as_at: The asAt datetime at which to retrieve the property definition. Defaults to return the latest version of the definition if not specified.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: PropertyDefinition
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_property_definition_with_http_info(domain, scope, code, **kwargs) # noqa: E501
def get_property_definition_with_http_info(self, domain, scope, code, **kwargs): # noqa: E501
"""Get property definition # noqa: E501
Retrieve the definition of a specified property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_property_definition_with_http_info(domain, scope, code, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the specified property. (required)
:param str scope: The scope of the specified property. (required)
:param str code: The code of the specified property. Together with the domain and scope this uniquely identifies the property. (required)
:param datetime as_at: The asAt datetime at which to retrieve the property definition. Defaults to return the latest version of the definition if not specified.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(PropertyDefinition, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['domain', 'scope', 'code', 'as_at'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_property_definition" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'domain' is set
if ('domain' not in local_var_params or
local_var_params['domain'] is None):
raise ApiValueError("Missing the required parameter `domain` when calling `get_property_definition`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) > 64):
raise ApiValueError("Invalid value for parameter `scope` when calling `get_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) < 1):
raise ApiValueError("Invalid value for parameter `scope` when calling `get_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501
raise ApiValueError("Invalid value for parameter `scope` when calling `get_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) > 64):
raise ApiValueError("Invalid value for parameter `code` when calling `get_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) < 1):
raise ApiValueError("Invalid value for parameter `code` when calling `get_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501
raise ApiValueError("Invalid value for parameter `code` when calling `get_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'domain' in local_var_params:
path_params['domain'] = local_var_params['domain'] # noqa: E501
if 'scope' in local_var_params:
path_params['scope'] = local_var_params['scope'] # noqa: E501
if 'code' in local_var_params:
path_params['code'] = local_var_params['code'] # noqa: E501
query_params = []
if 'as_at' in local_var_params:
query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions/{domain}/{scope}/{code}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PropertyDefinition', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def update_property_definition(self, domain, scope, code, update_property_definition_request, **kwargs): # noqa: E501
"""Update property definition # noqa: E501
Update the definition of a specified existing property. Not all elements within a property definition are modifiable due to the potential implications for values already stored against the property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_property_definition(domain, scope, code, update_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the property being updated. (required)
:param str scope: The scope of the property being updated. (required)
:param str code: The code of the property being updated. Together with the domain and scope this uniquely identifies the property. (required)
:param UpdatePropertyDefinitionRequest update_property_definition_request: The updated definition of the property. (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: PropertyDefinition
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.update_property_definition_with_http_info(domain, scope, code, update_property_definition_request, **kwargs) # noqa: E501
def update_property_definition_with_http_info(self, domain, scope, code, update_property_definition_request, **kwargs): # noqa: E501
"""Update property definition # noqa: E501
Update the definition of a specified existing property. Not all elements within a property definition are modifiable due to the potential implications for values already stored against the property. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_property_definition_with_http_info(domain, scope, code, update_property_definition_request, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str domain: The domain of the property being updated. (required)
:param str scope: The scope of the property being updated. (required)
:param str code: The code of the property being updated. Together with the domain and scope this uniquely identifies the property. (required)
:param UpdatePropertyDefinitionRequest update_property_definition_request: The updated definition of the property. (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(PropertyDefinition, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['domain', 'scope', 'code', 'update_property_definition_request'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method update_property_definition" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'domain' is set
if ('domain' not in local_var_params or
local_var_params['domain'] is None):
raise ApiValueError("Missing the required parameter `domain` when calling `update_property_definition`") # noqa: E501
# verify the required parameter 'update_property_definition_request' is set
if ('update_property_definition_request' not in local_var_params or
local_var_params['update_property_definition_request'] is None):
raise ApiValueError("Missing the required parameter `update_property_definition_request` when calling `update_property_definition`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) > 64):
raise ApiValueError("Invalid value for parameter `scope` when calling `update_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('scope' in local_var_params and
len(local_var_params['scope']) < 1):
raise ApiValueError("Invalid value for parameter `scope` when calling `update_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501
raise ApiValueError("Invalid value for parameter `scope` when calling `update_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) > 64):
raise ApiValueError("Invalid value for parameter `code` when calling `update_property_definition`, length must be less than or equal to `64`") # noqa: E501
if ('code' in local_var_params and
len(local_var_params['code']) < 1):
raise ApiValueError("Invalid value for parameter `code` when calling `update_property_definition`, length must be greater than or equal to `1`") # noqa: E501
if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501
raise ApiValueError("Invalid value for parameter `code` when calling `update_property_definition`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'domain' in local_var_params:
path_params['domain'] = local_var_params['domain'] # noqa: E501
if 'scope' in local_var_params:
path_params['scope'] = local_var_params['scope'] # noqa: E501
if 'code' in local_var_params:
path_params['code'] = local_var_params['code'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'update_property_definition_request' in local_var_params:
body_params = local_var_params['update_property_definition_request']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['text/plain', 'application/json', 'text/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
# set the LUSID header
header_params['X-LUSID-SDK-Language'] = 'Python'
header_params['X-LUSID-SDK-Version'] = '0.11.2863'
return self.api_client.call_api(
'/api/propertydefinitions/{domain}/{scope}/{code}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PropertyDefinition', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
| 54.671551
| 268
| 0.639986
| 5,222
| 44,776
| 5.259862
| 0.051704
| 0.041359
| 0.066261
| 0.023883
| 0.965122
| 0.95926
| 0.954454
| 0.939782
| 0.932137
| 0.925948
| 0
| 0.01568
| 0.280731
| 44,776
| 818
| 269
| 54.738386
| 0.837173
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| 0
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| 1
| 0.046036
| 0.291455
| 0.105391
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033248
| false
| 0
| 0.012788
| 0
| 0.079284
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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| 0
| 0
|
0
| 8
|
bcaae85b57974a66cc3e1d060a6307b6dddec2be
| 2,519
|
py
|
Python
|
tests/test_parser.py
|
harukaeru/KaeruParser
|
45f37c5503b5d2557b8252e6ac4694b4182aef55
|
[
"BSD-3-Clause"
] | 1
|
2017-08-18T07:29:31.000Z
|
2017-08-18T07:29:31.000Z
|
tests/test_parser.py
|
harukaeru/KaeruParser
|
45f37c5503b5d2557b8252e6ac4694b4182aef55
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_parser.py
|
harukaeru/KaeruParser
|
45f37c5503b5d2557b8252e6ac4694b4182aef55
|
[
"BSD-3-Clause"
] | 2
|
2017-05-21T15:49:38.000Z
|
2020-07-03T10:04:38.000Z
|
import pytest
from kaeru_parser import Compiler
class TestClass:
def setup_method(self, method):
self.compiler = Compiler()
def test_A(self):
text = open('tests/A.txt', 'r').read()
self.compiler.compile(text)
entity_table = self.compiler.entity_table
home = entity_table.get('Home')
assert home.actions[0].name == 'click'
assert home.actions[0].entity == entity_table.get("TodoList")
assert home.actions[1].name == 'quit'
assert home.actions[1].entity == entity_table.get("End")
todo_list = entity_table.get('TodoList')
assert todo_list.actions[0].name == "addTodo"
assert todo_list.actions[0].entity == entity_table.get("TodoList")
assert todo_list.actions[1].name == "removeTodo"
assert todo_list.actions[1].entity == entity_table.get("TodoList")
assert todo_list.actions[2].name == "back"
assert todo_list.actions[2].entity == entity_table.get("Home")
assert todo_list.actions[3].name == "quit"
assert todo_list.actions[3].entity == entity_table.get("End")
assert len(entity_table.items()) == 3
def test_B(self):
text = open('tests/B.txt', 'r').read()
with pytest.raises(SyntaxError):
self.compiler.compile(text)
def test_C(self):
text = open('tests/C.txt', 'r').read()
with pytest.raises(SyntaxError):
self.compiler.compile(text)
def test_D(self):
print("--- C ---")
text = open('tests/D.txt', 'r').read()
self.compiler.compile(text)
entity_table = self.compiler.entity_table
home = entity_table.get('Home')
assert home.actions[0].name == 'click'
assert home.actions[0].entity == entity_table.get("TodoList")
assert home.actions[1].name == 'quit'
assert home.actions[1].entity == entity_table.get("End")
todo_list = entity_table.get('TodoList')
assert todo_list.actions[0].name == "addTodo"
assert todo_list.actions[0].entity == entity_table.get("TodoList")
assert todo_list.actions[1].name == "removeTodo"
assert todo_list.actions[1].entity == entity_table.get("TodoList")
assert todo_list.actions[2].name == "back"
assert todo_list.actions[2].entity == entity_table.get("Home")
assert todo_list.actions[3].name == "quit"
assert todo_list.actions[3].entity == entity_table.get("End")
assert len(entity_table.items()) == 3
| 38.753846
| 74
| 0.626042
| 329
| 2,519
| 4.653495
| 0.151976
| 0.158067
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| 0.219464
| 0.872632
| 0.872632
| 0.872632
| 0.872632
| 0.872632
| 0.872632
| 0
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| 0.223501
| 2,519
| 64
| 75
| 39.359375
| 0.769427
| 0
| 0
| 0.730769
| 0
| 0
| 0.086145
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.096154
| false
| 0
| 0.038462
| 0
| 0.153846
| 0.019231
| 0
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| 0
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0
| 9
|
bcc8bfce670cee9b04bfd6cf876bc4ec198dc330
| 1,242
|
py
|
Python
|
tests/helpers/misc/test_version_is_newer_than_version.py
|
traibnn/integration
|
cf5920a677fdaa8408074e533371141828b0b30f
|
[
"MIT"
] | 1
|
2021-05-22T04:35:29.000Z
|
2021-05-22T04:35:29.000Z
|
tests/helpers/misc/test_version_is_newer_than_version.py
|
traibnn/integration
|
cf5920a677fdaa8408074e533371141828b0b30f
|
[
"MIT"
] | 45
|
2021-07-21T13:32:44.000Z
|
2022-03-28T06:15:40.000Z
|
tests/helpers/misc/test_version_is_newer_than_version.py
|
traibnn/integration
|
cf5920a677fdaa8408074e533371141828b0b30f
|
[
"MIT"
] | null | null | null |
"""Helpers: Misc: version_left_higher_then_right."""
# pylint: disable=missing-docstring
from custom_components.hacs.helpers.functions.misc import version_left_higher_then_right
def test_basic():
assert version_left_higher_then_right("1.0.0", "0.9.9")
assert version_left_higher_then_right("1", "0.9.9")
assert version_left_higher_then_right("1.1", "0.9.9")
assert version_left_higher_then_right("0.10.0", "0.9.9")
assert not version_left_higher_then_right("0.0.10", "0.9.9")
assert not version_left_higher_then_right("0.9.0", "0.9.9")
assert version_left_higher_then_right("1.0.0", "1.0.0")
def test_beta():
assert version_left_higher_then_right("1.0.0b1", "1.0.0b0")
assert not version_left_higher_then_right("1.0.0b1", "1.0.0")
assert version_left_higher_then_right("1.0.0", "1.0.0b1")
def test_wierd_stuff():
assert version_left_higher_then_right("1.0.0rc1", "1.0.0b1")
assert not version_left_higher_then_right("1.0.0a1", "1.0.0b1")
assert version_left_higher_then_right("1.0.0", "1.0.0a0")
assert version_left_higher_then_right("1.0.0", "1.0.0b0")
assert version_left_higher_then_right("1.0.0", "1.0.0rc0")
assert not version_left_higher_then_right("0", "1.0.0rc0")
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0
| 7
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4c0c044816b32d6e89ad4afd2eccdce0534e40a5
| 21,116
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py
|
Python
|
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_15.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_15.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
optimization/second_sdEta_mjj_optimization/lumi_and_kin_plots/four_cuts_lum150/Output/Histos/MadAnalysis5job_0/selection_15.py
|
sheride/axion_pheno
|
7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5
|
[
"MIT"
] | null | null | null |
def selection_15():
# Library import
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# Library version
matplotlib_version = matplotlib.__version__
numpy_version = numpy.__version__
# Histo binning
xBinning = numpy.linspace(0.0,8000.0,81,endpoint=True)
# Creating data sequence: middle of each bin
xData = numpy.array([50.0,150.0,250.0,350.0,450.0,550.0,650.0,750.0,850.0,950.0,1050.0,1150.0,1250.0,1350.0,1450.0,1550.0,1650.0,1750.0,1850.0,1950.0,2050.0,2150.0,2250.0,2350.0,2450.0,2550.0,2650.0,2750.0,2850.0,2950.0,3050.0,3150.0,3250.0,3350.0,3450.0,3550.0,3650.0,3750.0,3850.0,3950.0,4050.0,4150.0,4250.0,4350.0,4450.0,4550.0,4650.0,4750.0,4850.0,4950.0,5050.0,5150.0,5250.0,5350.0,5450.0,5550.0,5650.0,5750.0,5850.0,5950.0,6050.0,6150.0,6250.0,6350.0,6450.0,6550.0,6650.0,6750.0,6850.0,6950.0,7050.0,7150.0,7250.0,7350.0,7450.0,7550.0,7650.0,7750.0,7850.0,7950.0])
# Creating weights for histo: y16_TET_0
y16_TET_0_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,26.0230298503,88.6778613367,146.189511805,177.110112863,198.358346411,204.975441287,202.196543439,192.171151202,183.895957609,168.619969437,153.451381182,139.265397167,123.789759149,112.336563018,98.4883187404,88.3861565625,78.4068292895,67.1378630151,59.6456838163,50.7717656874,44.4464055851,38.0596355304,33.6533739422,29.4006372351,24.4416860748,20.7416539397,19.0374902593,15.85945772,13.4797725626,11.6988464416,9.74903845131,8.58222385478,6.95482561487,6.47888798339,5.51166173232,4.28343568333,3.79214556374,3.25479647981,2.84027030078,2.45645059797,1.65810471613,1.7502211448,1.6273982399,1.04399154164,0.79834648184,0.844404846177,0.690876665054,0.552701422043,0.429878817144,0.260997847909,0.383820452808,0.368467514695,0.276350636021,0.184233757348,0.168880969235,0.153528181123,0.122822529898,0.0460584543369,0.0460584543369,0.0153528181123,0.0153528181123,0.0153528181123,0.0460584543369,0.0,0.0307056362246,0.0,0.0,0.0153528181123,0.0153528181123,0.0153528181123,0.0307056362246,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_1
y16_TET_1_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0456393479265,0.0911228234141,0.0,0.0,0.0454926886594,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_2
y16_TET_2_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.828296612194,1.65660686011,0.865534681963,0.452041510286,0.188269176512,0.188173571513,0.0377049537616,0.113048092737,0.0377612630918,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_3
y16_TET_3_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,1.91816910708,5.17651940819,5.87837580287,4.39384007468,2.53753741416,1.23771238772,0.722027851392,0.247396773218,0.288826527567,0.10309566703,0.0206389019058,0.0411875841322,0.0206041059335,0.0,0.0411480197101,0.0,0.0206099255751,0.0,0.0,0.0,0.0,0.0206783139813,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_4
y16_TET_4_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.344112029979,2.37584629364,3.71171439333,3.94134126591,2.79035550628,1.6282497503,0.799330530173,0.43298527147,0.236898159732,0.136907326859,0.0591894648972,0.0740442198024,0.0296066671297,0.0185172289686,0.018508946841,0.0036908226889,0.00740061761273,0.00368965777985,0.0037056478476,0.0,0.00738767434582,0.00369535756711,0.00370835494593,0.0,0.0,0.0,0.00370047865762,0.0,0.0,0.00369858925029,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_5
y16_TET_5_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0567020327819,0.418701316851,0.981214380156,1.28660360725,1.24305238893,0.896118006328,0.609670243273,0.301553400948,0.142752914397,0.0841563150938,0.052006225371,0.0274184822681,0.0132323578442,0.0113471374447,0.00851022404736,0.0028375450746,0.00283281274695,0.0037771221734,0.00283684887929,0.0,0.00189102252726,0.000945066988988,0.0,0.0,0.000944843126183,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_6
y16_TET_6_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0139700355712,0.0687038533727,0.135308351836,0.256586014406,0.319950288149,0.348965803038,0.308046283381,0.266317935313,0.201874311454,0.134198073171,0.0998561373431,0.0740463946455,0.0515488183475,0.0278767294746,0.00860207290584,0.00750434185889,0.00537996294224,0.00215147457467,0.00214853055173,0.0,0.00214569712177,0.0,0.00107318914981,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_7
y16_TET_7_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000567125633315,0.00413019084775,0.00826206488779,0.0155494404236,0.0150683507479,0.0143318778963,0.013846214841,0.0142498053772,0.0183035139159,0.0190228860996,0.0208859646586,0.0160331845454,0.0153914828065,0.010605040272,0.00752792115945,0.00469855663703,0.00315236613756,0.00186235090447,0.000810296785484,0.000567290809328,0.000405315218944,8.09752380432e-05,8.11095162408e-05,8.10828146188e-05,8.12819530834e-05,0.0,0.000161643509589,0.0,0.0,0.0,0.0,0.0,0.0,8.09353349131e-05,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_8
y16_TET_8_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000213219487073,0.000319253925172,0.000850643544829,0.000319605166625,0.00106425380751,0.00117006557367,0.000852048956097,0.000425892678981,0.000532289383551,0.000742993162181,0.00106494593358,0.00148777538395,0.00191528601203,0.00117201444033,0.00212385483508,0.00106543593434,0.00127705835303,0.00105882370819,0.000638434238867,0.00116517002063,0.000527390823691,0.000212991581038,0.00031810626544,0.000106683410696,0.00021292175593,0.0,0.000212995423089,0.000425714441205,0.000212693794213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000104897747703,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_9
y16_TET_9_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_10
y16_TET_10_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,7.90028331531,0.0,3.948593127,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_11
y16_TET_11_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,2.59436247568,19.8668183501,19.0005538207,19.005525313,5.17790439019,2.58985498928,1.72887465182,0.862982047614,0.0,0.0,0.865024394312,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_12
y16_TET_12_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.24663412243,6.0217594445,7.99640701578,9.44882440703,9.86577563241,5.19291018736,2.69904300273,1.24552005408,0.934730036618,0.519009580518,0.415550381441,0.103973981458,0.103761063565,0.207838734306,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_13
y16_TET_13_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.226806815862,0.566789855622,1.51205021831,1.7018570448,2.79822909781,2.41927270253,2.00381529207,0.869069221526,0.642990782823,0.264663197443,0.2648605113,0.0756564593003,0.0378575877672,0.0376610932072,0.0,0.0,0.0378021259601,0.0,0.0,0.0,0.0,0.0378656896972,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_14
y16_TET_14_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0424409358938,0.19102305148,0.233488024287,0.371157496717,0.38191610741,0.572929925022,0.74263659175,0.944503811484,0.530447350154,0.44561537011,0.403078113429,0.233306953903,0.169763801287,0.159084544149,0.0424634290197,0.0318271670802,0.0,0.0106130286614,0.0105880481623,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_15
y16_TET_15_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0114686091,0.011413340788,0.0,0.0229657254802,0.0171544463985,0.0114335600374,0.0,0.0229393500412,0.0114150205546,0.0284815163209,0.0398872826465,0.0685400199323,0.0227551430174,0.0399550938073,0.0170772879346,0.0115087240553,0.011406869919,0.0229110953909,0.00566683687717,0.0057683054206,0.0,0.0,0.00567245235042,0.0,0.0,0.00571686201256,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating weights for histo: y16_TET_16
y16_TET_16_weights = numpy.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000677073862503,0.0,0.00270659766913,0.000677348019468,0.000677753696703,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.000677051774027,0.00948240220668,0.00473432408017,0.000677464236612,0.00135439964913,0.00406095472936,0.00203105411933,0.00135190119708,0.00135639208739,0.00135593631407,0.00135626937364,0.00135523410266,0.0,0.0,0.000675761258437,0.0,0.0,0.000677876121719,0.0,0.0,0.0,0.0,0.000677831367291,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0])
# Creating a new Canvas
fig = plt.figure(figsize=(12,6),dpi=80)
frame = gridspec.GridSpec(1,1,right=0.7)
pad = fig.add_subplot(frame[0])
# Creating a new Stack
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights+y16_TET_14_weights+y16_TET_15_weights+y16_TET_16_weights,\
label="$bg\_dip\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#e5e5e5", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights+y16_TET_14_weights+y16_TET_15_weights,\
label="$bg\_dip\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#f2f2f2", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights+y16_TET_14_weights,\
label="$bg\_dip\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights,\
label="$bg\_dip\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ccc6aa", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights,\
label="$bg\_dip\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#c1bfa8", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights,\
label="$bg\_dip\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#bab5a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights,\
label="$bg\_dip\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b2a596", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights,\
label="$bg\_dip\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#b7a39b", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights,\
label="$bg\_vbf\_1600\_inf$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#ad998c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights,\
label="$bg\_vbf\_1200\_1600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#9b8e82", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights,\
label="$bg\_vbf\_800\_1200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#876656", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights,\
label="$bg\_vbf\_600\_800$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#afcec6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights,\
label="$bg\_vbf\_400\_600$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#84c1a3", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights,\
label="$bg\_vbf\_200\_400$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#89a8a0", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights,\
label="$bg\_vbf\_100\_200$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#829e8c", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights+y16_TET_1_weights,\
label="$bg\_vbf\_0\_100$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#adbcc6", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
pad.hist(x=xData, bins=xBinning, weights=y16_TET_0_weights,\
label="$signal$", histtype="step", rwidth=1.0,\
color=None, edgecolor="#7a8e99", linewidth=1, linestyle="solid",\
bottom=None, cumulative=False, normed=False, align="mid", orientation="vertical")
# Axis
plt.rc('text',usetex=False)
plt.xlabel(r"TET",\
fontsize=16,color="black")
plt.ylabel(r"$\mathrm{Events}$ $(\mathcal{L}_{\mathrm{int}} = 150.0\ \mathrm{fb}^{-1})$ ",\
fontsize=16,color="black")
# Boundary of y-axis
ymax=(y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights+y16_TET_14_weights+y16_TET_15_weights+y16_TET_16_weights).max()*1.1
ymin=0 # linear scale
#ymin=min([x for x in (y16_TET_0_weights+y16_TET_1_weights+y16_TET_2_weights+y16_TET_3_weights+y16_TET_4_weights+y16_TET_5_weights+y16_TET_6_weights+y16_TET_7_weights+y16_TET_8_weights+y16_TET_9_weights+y16_TET_10_weights+y16_TET_11_weights+y16_TET_12_weights+y16_TET_13_weights+y16_TET_14_weights+y16_TET_15_weights+y16_TET_16_weights) if x])/100. # log scale
plt.gca().set_ylim(ymin,ymax)
# Log/Linear scale for X-axis
plt.gca().set_xscale("linear")
#plt.gca().set_xscale("log",nonposx="clip")
# Log/Linear scale for Y-axis
plt.gca().set_yscale("linear")
#plt.gca().set_yscale("log",nonposy="clip")
# Legend
plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.)
# Saving the image
plt.savefig('../../HTML/MadAnalysis5job_0/selection_15.png')
plt.savefig('../../PDF/MadAnalysis5job_0/selection_15.png')
plt.savefig('../../DVI/MadAnalysis5job_0/selection_15.eps')
# Running!
if __name__ == '__main__':
selection_15()
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0
| 7
|
4c697e033ab09b8a2927c014191de0022d675382
| 31,804
|
py
|
Python
|
azure-mgmt-web/azure/mgmt/web/operations/managed_hosting_environments_operations.py
|
Berryliao84/Python-Azure
|
a96ed6e8bbf4290372980a2919b31110da90b164
|
[
"MIT"
] | 1
|
2017-10-29T15:14:35.000Z
|
2017-10-29T15:14:35.000Z
|
azure-mgmt-web/azure/mgmt/web/operations/managed_hosting_environments_operations.py
|
Berryliao84/Python-Azure
|
a96ed6e8bbf4290372980a2919b31110da90b164
|
[
"MIT"
] | null | null | null |
azure-mgmt-web/azure/mgmt/web/operations/managed_hosting_environments_operations.py
|
Berryliao84/Python-Azure
|
a96ed6e8bbf4290372980a2919b31110da90b164
|
[
"MIT"
] | null | null | null |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrestazure.azure_operation import AzureOperationPoller
import uuid
from .. import models
class ManagedHostingEnvironmentsOperations(object):
"""ManagedHostingEnvironmentsOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An objec model deserializer.
"""
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.config = config
def get_managed_hosting_environment(
self, resource_group_name, name, custom_headers=None, raw=False, **operation_config):
"""Get properties of a managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`ManagedHostingEnvironment
<azure.mgmt.web.models.ManagedHostingEnvironment>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(request, header_parameters, **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('ManagedHostingEnvironment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def create_or_update_managed_hosting_environment(
self, resource_group_name, name, managed_hosting_environment_envelope, custom_headers=None, raw=False, **operation_config):
"""Create or update a managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param managed_hosting_environment_envelope: Properties of managed
hosting environment
:type managed_hosting_environment_envelope:
:class:`HostingEnvironment <azure.mgmt.web.models.HostingEnvironment>`
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:rtype:
:class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>`
instance that returns :class:`HostingEnvironment
<azure.mgmt.web.models.HostingEnvironment>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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 body
body_content = self._serialize.body(managed_hosting_environment_envelope, 'HostingEnvironment')
# Construct and send request
def long_running_send():
request = self._client.put(url, query_parameters)
return self._client.send(
request, header_parameters, body_content, **operation_config)
def get_long_running_status(status_link, headers=None):
request = self._client.get(status_link)
if headers:
request.headers.update(headers)
return self._client.send(
request, header_parameters, **operation_config)
def get_long_running_output(response):
if response.status_code not in [202, 400, 404, 409]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 202:
deserialized = self._deserialize('HostingEnvironment', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
if raw:
response = long_running_send()
return get_long_running_output(response)
long_running_operation_timeout = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
return AzureOperationPoller(
long_running_send, get_long_running_output,
get_long_running_status, long_running_operation_timeout)
def delete_managed_hosting_environment(
self, resource_group_name, name, force_delete=None, custom_headers=None, raw=False, **operation_config):
"""Delete a managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param force_delete: Delete even if the managed hosting environment
contains resources
:type force_delete: bool
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:rtype:
:class:`AzureOperationPoller<msrestazure.azure_operation.AzureOperationPoller>`
instance that returns object
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if force_delete is not None:
query_parameters['forceDelete'] = self._serialize.query("force_delete", force_delete, 'bool')
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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
def long_running_send():
request = self._client.delete(url, query_parameters)
return self._client.send(request, header_parameters, **operation_config)
def get_long_running_status(status_link, headers=None):
request = self._client.get(status_link)
if headers:
request.headers.update(headers)
return self._client.send(
request, header_parameters, **operation_config)
def get_long_running_output(response):
if response.status_code not in [202, 400, 404, 409]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 202:
deserialized = self._deserialize('object', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
if raw:
response = long_running_send()
return get_long_running_output(response)
long_running_operation_timeout = operation_config.get(
'long_running_operation_timeout',
self.config.long_running_operation_timeout)
return AzureOperationPoller(
long_running_send, get_long_running_output,
get_long_running_status, long_running_operation_timeout)
def get_managed_hosting_environments(
self, resource_group_name, custom_headers=None, raw=False, **operation_config):
"""Get all managed hosting environments in a resource group.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`HostingEnvironmentPaged
<azure.mgmt.web.models.HostingEnvironmentPaged>`
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(
request, header_parameters, **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
deserialized = models.HostingEnvironmentPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.HostingEnvironmentPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_managed_hosting_environment_vips(
self, resource_group_name, name, custom_headers=None, raw=False, **operation_config):
"""Get list of ip addresses assigned to a managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`AddressResponse
<azure.mgmt.web.models.AddressResponse>`
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}/capacities/virtualip'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(request, header_parameters, **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('AddressResponse', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_managed_hosting_environment_operation(
self, resource_group_name, name, operation_id, custom_headers=None, raw=False, **operation_config):
"""Get status of an operation on a managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param operation_id: operation identifier GUID
:type operation_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>`.
:rtype: object
:rtype: :class:`ClientRawResponse<msrest.pipeline.ClientRawResponse>`
if raw=true
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}/operations/{operationId}'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'operationId': self._serialize.url("operation_id", operation_id, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(request, header_parameters, **operation_config)
if response.status_code not in [200, 202, 404, 500]:
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('object', response)
if response.status_code == 202:
deserialized = self._deserialize('object', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
def get_managed_hosting_environment_sites(
self, resource_group_name, name, properties_to_include=None, custom_headers=None, raw=False, **operation_config):
"""Get all sites on the managed hosting environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param properties_to_include: Comma separated list of site properties
to include
:type properties_to_include: 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>`.
:rtype: :class:`SitePaged <azure.mgmt.web.models.SitePaged>`
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}/sites'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
if properties_to_include is not None:
query_parameters['propertiesToInclude'] = self._serialize.query("properties_to_include", properties_to_include, 'str')
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(
request, header_parameters, **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
deserialized = models.SitePaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.SitePaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_managed_hosting_environment_web_hosting_plans(
self, resource_group_name, name, custom_headers=None, raw=False, **operation_config):
"""Get all serverfarms (App Service Plans) on the managed hosting
environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`ServerFarmWithRichSkuPaged
<azure.mgmt.web.models.ServerFarmWithRichSkuPaged>`
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}/webhostingplans'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(
request, header_parameters, **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
deserialized = models.ServerFarmWithRichSkuPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.ServerFarmWithRichSkuPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
def get_managed_hosting_environment_server_farms(
self, resource_group_name, name, custom_headers=None, raw=False, **operation_config):
"""Get all serverfarms (App Service Plans) on the managed hosting
environment.
:param resource_group_name: Name of resource group
:type resource_group_name: str
:param name: Name of managed hosting environment
:type name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:rtype: :class:`ServerFarmWithRichSkuPaged
<azure.mgmt.web.models.ServerFarmWithRichSkuPaged>`
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Web/managedHostingEnvironments/{name}/serverfarms'
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'name': self._serialize.url("name", name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.config.api_version", self.config.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
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)
response = self._client.send(
request, header_parameters, **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
deserialized = models.ServerFarmWithRichSkuPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.ServerFarmWithRichSkuPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
| 46.294032
| 165
| 0.657213
| 3,288
| 31,804
| 6.135645
| 0.061436
| 0.037177
| 0.03792
| 0.032121
| 0.89769
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| 0.866313
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| 0.003814
| 0.249843
| 31,804
| 686
| 166
| 46.361516
| 0.841772
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| 0
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| 0.163262
| 0.09563
| 0
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| 1
| 0.054795
| false
| 0
| 0.013699
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| null | 0
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| 1
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|
0
| 7
|
d5c243eb8f017e84cb52cd4f0a167deb9ca1b544
| 135
|
py
|
Python
|
nlstruct/models/__init__.py
|
percevalw/nlstruct
|
395db91c005536c64eca47a6dab4c5e460a9cfd0
|
[
"MIT"
] | 6
|
2020-02-10T09:02:34.000Z
|
2021-11-22T12:57:23.000Z
|
nlstruct/models/__init__.py
|
percevalw/nlstruct
|
395db91c005536c64eca47a6dab4c5e460a9cfd0
|
[
"MIT"
] | null | null | null |
nlstruct/models/__init__.py
|
percevalw/nlstruct
|
395db91c005536c64eca47a6dab4c5e460a9cfd0
|
[
"MIT"
] | 4
|
2020-03-04T08:18:39.000Z
|
2022-03-15T12:18:03.000Z
|
from nlstruct.models.bitag import BiTagSpanScorer
from nlstruct.models.ner import SpanScorer, ContiguousEntityDecoder, NERPreprocessor
| 45
| 84
| 0.881481
| 14
| 135
| 8.5
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| 0.201681
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| 0.074074
| 135
| 2
| 85
| 67.5
| 0.952
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| 0
| 1
| 0
|
0
| 7
|
d5d02658cc9757ad409bf4b42c3425eecb4c2ed9
| 250,958
|
py
|
Python
|
sympy/integrals/rubi/rubi_tests/tests/test_exponential.py
|
bigfooted/sympy
|
1fb2490fa2fa9b476da450f02a25b03c1dc07cf0
|
[
"BSD-3-Clause"
] | 8,323
|
2015-01-02T15:51:43.000Z
|
2022-03-31T13:13:19.000Z
|
sympy/integrals/rubi/rubi_tests/tests/test_exponential.py
|
bigfooted/sympy
|
1fb2490fa2fa9b476da450f02a25b03c1dc07cf0
|
[
"BSD-3-Clause"
] | 15,102
|
2015-01-01T01:33:17.000Z
|
2022-03-31T22:53:13.000Z
|
sympy/integrals/rubi/rubi_tests/tests/test_exponential.py
|
bigfooted/sympy
|
1fb2490fa2fa9b476da450f02a25b03c1dc07cf0
|
[
"BSD-3-Clause"
] | 4,490
|
2015-01-01T17:48:07.000Z
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2022-03-31T17:24:05.000Z
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import sys
from sympy.external import import_module
matchpy = import_module("matchpy")
if not matchpy:
#bin/test will not execute any tests now
disabled = True
if sys.version_info[:2] < (3, 6):
disabled = True
from sympy.integrals.rubi.rubi import rubi_integrate
from sympy.functions import log, sqrt, exp, cos, sin, tan, sec, csc, cot, sinh, sech, atan, asin, acos, atanh, asinh, acosh
from sympy import acsch as arccsch, acsc as arccsc
from sympy.integrals.rubi.utility_function import (EllipticE, EllipticF, Int, ArcCsch, ArcCsc, Gamma,
hypergeom, rubi_test, AppellF1, EllipticPi, Log, Sqrt, ArcTan, ArcTanh, ArcSin, ArcSinh, ArcCosh, ArcTanh, ArcCos, Hypergeometric2F1)
from sympy import pi
from sympy import S, hyper, I, simplify, exp_polar, symbols, Ei,erf, erfi,gamma,uppergamma, polylog, Integral, exp
from sympy.testing.pytest import SKIP
a, b, c, d, e, f, m, n, x, u , k, p, r, s, t= symbols('a b c d e f m n x u k p r s t')
A, B, C, D, a, b, c, d, e, f, g, h, i, y, z, m, n, p, q, u, v, w, E, F, G, H = symbols('A B C D a b c d e f g h i y z m n p q u v w E F G H')
def test_1():
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-m)*(d + e*x)**m*Gamma(m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**S(4), x), x, F**(c*(a + b*x))*(d + e*x)**S(4)/(b*c*log(F)) - S(4)*F**(c*(a + b*x))*e*(d + e*x)**S(3)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(12)*F**(c*(a + b*x))*e**S(2)*(d + e*x)**S(2)/(b**S(3)*c**S(3)*log(F)**S(3)) - S(24)*F**(c*(a + b*x))*e**S(3)*(d + e*x)/(b**S(4)*c**S(4)*log(F)**S(4)) + S(24)*F**(c*(a + b*x))*e**S(4)/(b**S(5)*c**S(5)*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**S(3), x), x, F**(c*(a + b*x))*(d + e*x)**S(3)/(b*c*log(F)) - S(3)*F**(c*(a + b*x))*e*(d + e*x)**S(2)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(6)*F**(c*(a + b*x))*e**S(2)*(d + e*x)/(b**S(3)*c**S(3)*log(F)**S(3)) - S(6)*F**(c*(a + b*x))*e**S(3)/(b**S(4)*c**S(4)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**S(2), x), x, F**(c*(a + b*x))*(d + e*x)**S(2)/(b*c*log(F)) - S(2)*F**(c*(a + b*x))*e*(d + e*x)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(2)*F**(c*(a + b*x))*e**S(2)/(b**S(3)*c**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x), x), x, F**(c*(a + b*x))*(d + e*x)/(b*c*log(F)) - F**(c*(a + b*x))*e/(b**S(2)*c**S(2)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x)), x), x, F**(c*(a + b*x))/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x), x), x, F**(c*(a - b*d/e))*Ei(b*c*(d + e*x)*log(F)/e)/e, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**S(2), x), x, -F**(c*(a + b*x))/(e*(d + e*x)) + F**(c*(a - b*d/e))*b*c*log(F)*Ei(b*c*(d + e*x)*log(F)/e)/e**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**S(3), x), x, -F**(c*(a + b*x))*b*c*log(F)/(S(2)*e**S(2)*(d + e*x)) - F**(c*(a + b*x))/(S(2)*e*(d + e*x)**S(2)) + F**(c*(a - b*d/e))*b**S(2)*c**S(2)*log(F)**S(2)*Ei(b*c*(d + e*x)*log(F)/e)/(S(2)*e**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**S(4), x), x, -F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(6)*e**S(3)*(d + e*x)) - F**(c*(a + b*x))*b*c*log(F)/(S(6)*e**S(2)*(d + e*x)**S(2)) - F**(c*(a + b*x))/(S(3)*e*(d + e*x)**S(3)) + F**(c*(a - b*d/e))*b**S(3)*c**S(3)*log(F)**S(3)*Ei(b*c*(d + e*x)*log(F)/e)/(S(6)*e**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**S(5), x), x, -F**(c*(a + b*x))*b**S(3)*c**S(3)*log(F)**S(3)/(S(24)*e**S(4)*(d + e*x)) - F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(24)*e**S(3)*(d + e*x)**S(2)) - F**(c*(a + b*x))*b*c*log(F)/(S(12)*e**S(2)*(d + e*x)**S(3)) - F**(c*(a + b*x))/(S(4)*e*(d + e*x)**S(4)) + F**(c*(a - b*d/e))*b**S(4)*c**S(4)*log(F)**S(4)*Ei(b*c*(d + e*x)*log(F)/e)/(S(24)*e**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(4) + S(4)*d**S(3)*e*x + S(6)*d**S(2)*e**S(2)*x**S(2) + S(4)*d*e**S(3)*x**S(3) + e**S(4)*x**S(4)), x), x, F**(c*(a + b*x))*(d + e*x)**S(4)/(b*c*log(F)) - S(4)*F**(c*(a + b*x))*e*(d + e*x)**S(3)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(12)*F**(c*(a + b*x))*e**S(2)*(d + e*x)**S(2)/(b**S(3)*c**S(3)*log(F)**S(3)) - S(24)*F**(c*(a + b*x))*e**S(3)*(d + e*x)/(b**S(4)*c**S(4)*log(F)**S(4)) + S(24)*F**(c*(a + b*x))*e**S(4)/(b**S(5)*c**S(5)*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(3) + S(3)*d**S(2)*e*x + S(3)*d*e**S(2)*x**S(2) + e**S(3)*x**S(3)), x), x, F**(c*(a + b*x))*(d + e*x)**S(3)/(b*c*log(F)) - S(3)*F**(c*(a + b*x))*e*(d + e*x)**S(2)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(6)*F**(c*(a + b*x))*e**S(2)*(d + e*x)/(b**S(3)*c**S(3)*log(F)**S(3)) - S(6)*F**(c*(a + b*x))*e**S(3)/(b**S(4)*c**S(4)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(2) + S(2)*d*e*x + e**S(2)*x**S(2)), x), x, F**(c*(a + b*x))*(d + e*x)**S(2)/(b*c*log(F)) - S(2)*F**(c*(a + b*x))*e*(d + e*x)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(2)*F**(c*(a + b*x))*e**S(2)/(b**S(3)*c**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d**S(2) + S(2)*d*e*x + e**S(2)*x**S(2)), x), x, -F**(c*(a + b*x))/(e*(d + e*x)) + F**(c*(a - b*d/e))*b*c*log(F)*Ei(b*c*(d + e*x)*log(F)/e)/e**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d**S(3) + S(3)*d**S(2)*e*x + S(3)*d*e**S(2)*x**S(2) + e**S(3)*x**S(3)), x), x, -F**(c*(a + b*x))*b*c*log(F)/(S(2)*e**S(2)*(d + e*x)) - F**(c*(a + b*x))/(S(2)*e*(d + e*x)**S(2)) + F**(c*(a - b*d/e))*b**S(2)*c**S(2)*log(F)**S(2)*Ei(b*c*(d + e*x)*log(F)/e)/(S(2)*e**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d**S(4) + S(4)*d**S(3)*e*x + S(6)*d**S(2)*e**S(2)*x**S(2) + S(4)*d*e**S(3)*x**S(3) + e**S(4)*x**S(4)), x), x, -F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(6)*e**S(3)*(d + e*x)) - F**(c*(a + b*x))*b*c*log(F)/(S(6)*e**S(2)*(d + e*x)**S(2)) - F**(c*(a + b*x))/(S(3)*e*(d + e*x)**S(3)) + F**(c*(a - b*d/e))*b**S(3)*c**S(3)*log(F)**S(3)*Ei(b*c*(d + e*x)*log(F)/e)/(S(6)*e**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d**S(5) + S(5)*d**S(4)*e*x + S(10)*d**S(3)*e**S(2)*x**S(2) + S(10)*d**S(2)*e**S(3)*x**S(3) + S(5)*d*e**S(4)*x**S(4) + e**S(5)*x**S(5)), x), x, -F**(c*(a + b*x))*b**S(3)*c**S(3)*log(F)**S(3)/(S(24)*e**S(4)*(d + e*x)) - F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(24)*e**S(3)*(d + e*x)**S(2)) - F**(c*(a + b*x))*b*c*log(F)/(S(12)*e**S(2)*(d + e*x)**S(3)) - F**(c*(a + b*x))/(S(4)*e*(d + e*x)**S(4)) + F**(c*(a - b*d/e))*b**S(4)*c**S(4)*log(F)**S(4)*Ei(b*c*(d + e*x)*log(F)/e)/(S(24)*e**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*((d + e*x)**n)**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-m*n)*((d + e*x)**n)**m*Gamma(m*n + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(4) + S(4)*d**S(3)*e*x + S(6)*d**S(2)*e**S(2)*x**S(2) + S(4)*d*e**S(3)*x**S(3) + e**S(4)*x**S(4))**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-S(4)*m)*((d + e*x)**S(4))**m*Gamma(S(4)*m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(3) + S(3)*d**S(2)*e*x + S(3)*d*e**S(2)*x**S(2) + e**S(3)*x**S(3))**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-S(3)*m)*((d + e*x)**S(3))**m*Gamma(S(3)*m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(2) + S(2)*d*e*x + e**S(2)*x**S(2))**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-S(2)*m)*((d + e*x)**S(2))**m*Gamma(S(2)*m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**m, x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(-m)*(d + e*x)**m*Gamma(m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**(-m), x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**m*(d + e*x)**(-m)*Gamma(-m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(2) + S(2)*d*e*x + e**S(2)*x**S(2))**(-m), x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(S(2)*m)*((d + e*x)**S(2))**(-m)*Gamma(-S(2)*m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d**S(3) + S(3)*d**S(2)*e*x + S(3)*d*e**S(2)*x**S(2) + e**S(3)*x**S(3))**(-m), x), x, F**(c*(a - b*d/e))*(-b*c*(d + e*x)*log(F)/e)**(S(3)*m)*((d + e*x)**S(3))**(-m)*Gamma(-S(3)*m + S(1), -b*c*(d + e*x)*log(F)/e)/(b*c*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(S(5)*x + S(2)), x), x, F**(S(5)*x + S(2))/(S(5)*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x), x), x, F**(a + b*x)/(b*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(10)**(S(5)*x + S(2)), x), x, S(2)**(S(5)*x + S(2))*S(5)**(S(5)*x + S(1))/log(S(10)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)*x**(S(7)/2), x), x, S(105)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/(S(16)*b**(S(9)/2)*log(F)**(S(9)/2)) + F**(a + b*x)*x**(S(7)/2)/(b*log(F)) - S(7)*F**(a + b*x)*x**(S(5)/2)/(S(2)*b**S(2)*log(F)**S(2)) + S(35)*F**(a + b*x)*x**(S(3)/2)/(S(4)*b**S(3)*log(F)**S(3)) - S(105)*F**(a + b*x)*sqrt(x)/(S(8)*b**S(4)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)*x**(S(5)/2), x), x, -S(15)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/(S(8)*b**(S(7)/2)*log(F)**(S(7)/2)) + F**(a + b*x)*x**(S(5)/2)/(b*log(F)) - S(5)*F**(a + b*x)*x**(S(3)/2)/(S(2)*b**S(2)*log(F)**S(2)) + S(15)*F**(a + b*x)*sqrt(x)/(S(4)*b**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)*x**(S(3)/2), x), x, S(3)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/(S(4)*b**(S(5)/2)*log(F)**(S(5)/2)) + F**(a + b*x)*x**(S(3)/2)/(b*log(F)) - S(3)*F**(a + b*x)*sqrt(x)/(S(2)*b**S(2)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)*sqrt(x), x), x, -sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/(S(2)*b**(S(3)/2)*log(F)**(S(3)/2)) + F**(a + b*x)*sqrt(x)/(b*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)/sqrt(x), x), x, sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/(sqrt(b)*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)/x**(S(3)/2), x), x, S(2)*sqrt(pi)*F**a*sqrt(b)*sqrt(log(F))*erfi(sqrt(b)*sqrt(x)*sqrt(log(F))) - S(2)*F**(a + b*x)/sqrt(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)/x**(S(5)/2), x), x, S(4)*sqrt(pi)*F**a*b**(S(3)/2)*log(F)**(S(3)/2)*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/S(3) - S(4)*F**(a + b*x)*b*log(F)/(S(3)*sqrt(x)) - S(2)*F**(a + b*x)/(S(3)*x**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)/x**(S(7)/2), x), x, S(8)*sqrt(pi)*F**a*b**(S(5)/2)*log(F)**(S(5)/2)*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/S(15) - S(8)*F**(a + b*x)*b**S(2)*log(F)**S(2)/(S(15)*sqrt(x)) - S(4)*F**(a + b*x)*b*log(F)/(S(15)*x**(S(3)/2)) - S(2)*F**(a + b*x)/(S(5)*x**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x)/x**(S(9)/2), x), x, S(16)*sqrt(pi)*F**a*b**(S(7)/2)*log(F)**(S(7)/2)*erfi(sqrt(b)*sqrt(x)*sqrt(log(F)))/S(105) - S(16)*F**(a + b*x)*b**S(3)*log(F)**S(3)/(S(105)*sqrt(x)) - S(8)*F**(a + b*x)*b**S(2)*log(F)**S(2)/(S(105)*x**(S(3)/2)) - S(4)*F**(a + b*x)*b*log(F)/(S(35)*x**(S(5)/2)) - S(2)*F**(a + b*x)/(S(7)*x**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**(S(7)/2), x), x, F**(c*(a + b*x))*(d + e*x)**(S(7)/2)/(b*c*log(F)) - S(7)*F**(c*(a + b*x))*e*(d + e*x)**(S(5)/2)/(S(2)*b**S(2)*c**S(2)*log(F)**S(2)) + S(35)*F**(c*(a + b*x))*e**S(2)*(d + e*x)**(S(3)/2)/(S(4)*b**S(3)*c**S(3)*log(F)**S(3)) - S(105)*F**(c*(a + b*x))*e**S(3)*sqrt(d + e*x)/(S(8)*b**S(4)*c**S(4)*log(F)**S(4)) + S(105)*sqrt(pi)*F**(c*(a - b*d/e))*e**(S(7)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(16)*b**(S(9)/2)*c**(S(9)/2)*log(F)**(S(9)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**(S(5)/2), x), x, F**(c*(a + b*x))*(d + e*x)**(S(5)/2)/(b*c*log(F)) - S(5)*F**(c*(a + b*x))*e*(d + e*x)**(S(3)/2)/(S(2)*b**S(2)*c**S(2)*log(F)**S(2)) + S(15)*F**(c*(a + b*x))*e**S(2)*sqrt(d + e*x)/(S(4)*b**S(3)*c**S(3)*log(F)**S(3)) - S(15)*sqrt(pi)*F**(c*(a - b*d/e))*e**(S(5)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(8)*b**(S(7)/2)*c**(S(7)/2)*log(F)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**(S(3)/2), x), x, F**(c*(a + b*x))*(d + e*x)**(S(3)/2)/(b*c*log(F)) - S(3)*F**(c*(a + b*x))*e*sqrt(d + e*x)/(S(2)*b**S(2)*c**S(2)*log(F)**S(2)) + S(3)*sqrt(pi)*F**(c*(a - b*d/e))*e**(S(3)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(4)*b**(S(5)/2)*c**(S(5)/2)*log(F)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*sqrt(d + e*x), x), x, F**(c*(a + b*x))*sqrt(d + e*x)/(b*c*log(F)) - sqrt(pi)*F**(c*(a - b*d/e))*sqrt(e)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(2)*b**(S(3)/2)*c**(S(3)/2)*log(F)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/sqrt(d + e*x), x), x, sqrt(pi)*F**(c*(a - b*d/e))*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(sqrt(b)*sqrt(c)*sqrt(e)*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**(S(3)/2), x), x, -S(2)*F**(c*(a + b*x))/(e*sqrt(d + e*x)) + S(2)*sqrt(pi)*F**(c*(a - b*d/e))*sqrt(b)*sqrt(c)*sqrt(log(F))*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/e**(S(3)/2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**(S(5)/2), x), x, -S(4)*F**(c*(a + b*x))*b*c*log(F)/(S(3)*e**S(2)*sqrt(d + e*x)) - S(2)*F**(c*(a + b*x))/(S(3)*e*(d + e*x)**(S(3)/2)) + S(4)*sqrt(pi)*F**(c*(a - b*d/e))*b**(S(3)/2)*c**(S(3)/2)*log(F)**(S(3)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(3)*e**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**(S(7)/2), x), x, -S(8)*F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(15)*e**S(3)*sqrt(d + e*x)) - S(4)*F**(c*(a + b*x))*b*c*log(F)/(S(15)*e**S(2)*(d + e*x)**(S(3)/2)) - S(2)*F**(c*(a + b*x))/(S(5)*e*(d + e*x)**(S(5)/2)) + S(8)*sqrt(pi)*F**(c*(a - b*d/e))*b**(S(5)/2)*c**(S(5)/2)*log(F)**(S(5)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(15)*e**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))/(d + e*x)**(S(9)/2), x), x, -S(16)*F**(c*(a + b*x))*b**S(3)*c**S(3)*log(F)**S(3)/(S(105)*e**S(4)*sqrt(d + e*x)) - S(8)*F**(c*(a + b*x))*b**S(2)*c**S(2)*log(F)**S(2)/(S(105)*e**S(3)*(d + e*x)**(S(3)/2)) - S(4)*F**(c*(a + b*x))*b*c*log(F)/(S(35)*e**S(2)*(d + e*x)**(S(5)/2)) - S(2)*F**(c*(a + b*x))/(S(7)*e*(d + e*x)**(S(7)/2)) + S(16)*sqrt(pi)*F**(c*(a - b*d/e))*b**(S(7)/2)*c**(S(7)/2)*log(F)**(S(7)/2)*erfi(sqrt(b)*sqrt(c)*sqrt(d + e*x)*sqrt(log(F))/sqrt(e))/(S(105)*e**(S(9)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**(S(13)/2)*exp(-b*x), x), x, -x**(S(13)/2)*exp(-b*x)/b - S(13)*x**(S(11)/2)*exp(-b*x)/(S(2)*b**S(2)) - S(143)*x**(S(9)/2)*exp(-b*x)/(S(4)*b**S(3)) - S(1287)*x**(S(7)/2)*exp(-b*x)/(S(8)*b**S(4)) - S(9009)*x**(S(5)/2)*exp(-b*x)/(S(16)*b**S(5)) - S(45045)*x**(S(3)/2)*exp(-b*x)/(S(32)*b**S(6)) - S(135135)*sqrt(x)*exp(-b*x)/(S(64)*b**S(7)) + S(135135)*sqrt(pi)*erf(sqrt(b)*sqrt(x))/(S(128)*b**(S(15)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x)**(S(4)/3), x), x, -F**(c*(a - b*d/e))*e*(d + e*x)**(S(1)/3)*Gamma(S(7)/3, -b*c*(d + e*x)*log(F)/e)/(b**S(2)*c**S(2)*(-b*c*(d + e*x)*log(F)/e)**(S(1)/3)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*x)**(S(4)/3)*(F**(c*(a + b*x)))**n, x), x, -F**(-c*n*(a + b*x) + c*n*(a - b*d/e))*e*(d + e*x)**(S(1)/3)*(F**(c*(a + b*x)))**n*Gamma(S(7)/3, -b*c*n*(d + e*x)*log(F)/e)/(b**S(2)*c**S(2)*n**S(2)*(-b*c*n*(d + e*x)*log(F)/e)**(S(1)/3)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x), x), x, F**(c*(a + b*x))*(d + e*x)/(b*c*log(F)) - F**(c*(a + b*x))*e/(b**S(2)*c**S(2)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x + f*x**S(2)), x), x, F**(c*(a + b*x))*d/(b*c*log(F)) + F**(c*(a + b*x))*e*x/(b*c*log(F)) + F**(c*(a + b*x))*f*x**S(2)/(b*c*log(F)) - F**(c*(a + b*x))*e/(b**S(2)*c**S(2)*log(F)**S(2)) - S(2)*F**(c*(a + b*x))*f*x/(b**S(2)*c**S(2)*log(F)**S(2)) + S(2)*F**(c*(a + b*x))*f/(b**S(3)*c**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x + f*x**S(2) + g*x**S(3)), x), x, F**(c*(a + b*x))*d/(b*c*log(F)) + F**(c*(a + b*x))*e*x/(b*c*log(F)) + F**(c*(a + b*x))*f*x**S(2)/(b*c*log(F)) + F**(c*(a + b*x))*g*x**S(3)/(b*c*log(F)) - F**(c*(a + b*x))*e/(b**S(2)*c**S(2)*log(F)**S(2)) - S(2)*F**(c*(a + b*x))*f*x/(b**S(2)*c**S(2)*log(F)**S(2)) - S(3)*F**(c*(a + b*x))*g*x**S(2)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(2)*F**(c*(a + b*x))*f/(b**S(3)*c**S(3)*log(F)**S(3)) + S(6)*F**(c*(a + b*x))*g*x/(b**S(3)*c**S(3)*log(F)**S(3)) - S(6)*F**(c*(a + b*x))*g/(b**S(4)*c**S(4)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(d + e*x + f*x**S(2) + g*x**S(3) + h*x**S(4)), x), x, F**(c*(a + b*x))*d/(b*c*log(F)) + F**(c*(a + b*x))*e*x/(b*c*log(F)) + F**(c*(a + b*x))*f*x**S(2)/(b*c*log(F)) + F**(c*(a + b*x))*g*x**S(3)/(b*c*log(F)) + F**(c*(a + b*x))*h*x**S(4)/(b*c*log(F)) - F**(c*(a + b*x))*e/(b**S(2)*c**S(2)*log(F)**S(2)) - S(2)*F**(c*(a + b*x))*f*x/(b**S(2)*c**S(2)*log(F)**S(2)) - S(3)*F**(c*(a + b*x))*g*x**S(2)/(b**S(2)*c**S(2)*log(F)**S(2)) - S(4)*F**(c*(a + b*x))*h*x**S(3)/(b**S(2)*c**S(2)*log(F)**S(2)) + S(2)*F**(c*(a + b*x))*f/(b**S(3)*c**S(3)*log(F)**S(3)) + S(6)*F**(c*(a + b*x))*g*x/(b**S(3)*c**S(3)*log(F)**S(3)) + S(12)*F**(c*(a + b*x))*h*x**S(2)/(b**S(3)*c**S(3)*log(F)**S(3)) - S(6)*F**(c*(a + b*x))*g/(b**S(4)*c**S(4)*log(F)**S(4)) - S(24)*F**(c*(a + b*x))*h*x/(b**S(4)*c**S(4)*log(F)**S(4)) + S(24)*F**(c*(a + b*x))*h/(b**S(5)*c**S(5)*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**m*(a + b*x)**S(3)*exp(-a - b*x), x), x, -a**S(3)*x**m*(b*x)**(-m)*Gamma(m + S(1), b*x)*exp(-a)/b - S(3)*a**S(2)*x**m*(b*x)**(-m)*Gamma(m + S(2), b*x)*exp(-a)/b - S(3)*a*x**m*(b*x)**(-m)*Gamma(m + S(3), b*x)*exp(-a)/b - x**m*(b*x)**(-m)*Gamma(m + S(4), b*x)*exp(-a)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*(a + b*x)**S(3)*exp(-a - b*x), x), x, -a**S(3)*x**S(3)*exp(-a - b*x)/b - S(3)*a**S(3)*x**S(2)*exp(-a - b*x)/b**S(2) - S(6)*a**S(3)*x*exp(-a - b*x)/b**S(3) - S(6)*a**S(3)*exp(-a - b*x)/b**S(4) - S(3)*a**S(2)*x**S(4)*exp(-a - b*x) - S(12)*a**S(2)*x**S(3)*exp(-a - b*x)/b - S(36)*a**S(2)*x**S(2)*exp(-a - b*x)/b**S(2) - S(72)*a**S(2)*x*exp(-a - b*x)/b**S(3) - S(72)*a**S(2)*exp(-a - b*x)/b**S(4) - S(3)*a*b*x**S(5)*exp(-a - b*x) - S(15)*a*x**S(4)*exp(-a - b*x) - S(60)*a*x**S(3)*exp(-a - b*x)/b - S(180)*a*x**S(2)*exp(-a - b*x)/b**S(2) - S(360)*a*x*exp(-a - b*x)/b**S(3) - S(360)*a*exp(-a - b*x)/b**S(4) - b**S(2)*x**S(6)*exp(-a - b*x) - S(6)*b*x**S(5)*exp(-a - b*x) - S(30)*x**S(4)*exp(-a - b*x) - S(120)*x**S(3)*exp(-a - b*x)/b - S(360)*x**S(2)*exp(-a - b*x)/b**S(2) - S(720)*x*exp(-a - b*x)/b**S(3) - S(720)*exp(-a - b*x)/b**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*(a + b*x)**S(3)*exp(-a - b*x), x), x, -a**S(3)*x**S(2)*exp(-a - b*x)/b - S(2)*a**S(3)*x*exp(-a - b*x)/b**S(2) - S(2)*a**S(3)*exp(-a - b*x)/b**S(3) - S(3)*a**S(2)*x**S(3)*exp(-a - b*x) - S(9)*a**S(2)*x**S(2)*exp(-a - b*x)/b - S(18)*a**S(2)*x*exp(-a - b*x)/b**S(2) - S(18)*a**S(2)*exp(-a - b*x)/b**S(3) - S(3)*a*b*x**S(4)*exp(-a - b*x) - S(12)*a*x**S(3)*exp(-a - b*x) - S(36)*a*x**S(2)*exp(-a - b*x)/b - S(72)*a*x*exp(-a - b*x)/b**S(2) - S(72)*a*exp(-a - b*x)/b**S(3) - b**S(2)*x**S(5)*exp(-a - b*x) - S(5)*b*x**S(4)*exp(-a - b*x) - S(20)*x**S(3)*exp(-a - b*x) - S(60)*x**S(2)*exp(-a - b*x)/b - S(120)*x*exp(-a - b*x)/b**S(2) - S(120)*exp(-a - b*x)/b**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*(a + b*x)**S(3)*exp(-a - b*x), x), x, a*(a + b*x)**S(3)*exp(-a - b*x)/b**S(2) + S(3)*a*(a + b*x)**S(2)*exp(-a - b*x)/b**S(2) + S(6)*a*(a + b*x)*exp(-a - b*x)/b**S(2) + S(6)*a*exp(-a - b*x)/b**S(2) - (a + b*x)**S(4)*exp(-a - b*x)/b**S(2) - S(4)*(a + b*x)**S(3)*exp(-a - b*x)/b**S(2) - S(12)*(a + b*x)**S(2)*exp(-a - b*x)/b**S(2) - S(24)*(a + b*x)*exp(-a - b*x)/b**S(2) - S(24)*exp(-a - b*x)/b**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(-a - b*x), x), x, -(a + b*x)**S(3)*exp(-a - b*x)/b - S(3)*(a + b*x)**S(2)*exp(-a - b*x)/b - S(6)*(a + b*x)*exp(-a - b*x)/b - S(6)*exp(-a - b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(-a - b*x)/x, x), x, a**S(3)*exp(-a)*Ei(-b*x) - S(3)*a**S(2)*exp(-a - b*x) - S(3)*a*b*x*exp(-a - b*x) - S(3)*a*exp(-a - b*x) - b**S(2)*x**S(2)*exp(-a - b*x) - S(2)*b*x*exp(-a - b*x) - S(2)*exp(-a - b*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(-a - b*x)/x**S(2), x), x, -a**S(3)*b*exp(-a)*Ei(-b*x) - a**S(3)*exp(-a - b*x)/x + S(3)*a**S(2)*b*exp(-a)*Ei(-b*x) - S(3)*a*b*exp(-a - b*x) - b**S(2)*x*exp(-a - b*x) - b*exp(-a - b*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(-a - b*x)/x**S(3), x), x, a**S(3)*b**S(2)*exp(-a)*Ei(-b*x)/S(2) + a**S(3)*b*exp(-a - b*x)/(S(2)*x) - a**S(3)*exp(-a - b*x)/(S(2)*x**S(2)) - S(3)*a**S(2)*b**S(2)*exp(-a)*Ei(-b*x) - S(3)*a**S(2)*b*exp(-a - b*x)/x + S(3)*a*b**S(2)*exp(-a)*Ei(-b*x) - b**S(2)*exp(-a - b*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(-a - b*x)/x**S(4), x), x, -a**S(3)*b**S(3)*exp(-a)*Ei(-b*x)/S(6) - a**S(3)*b**S(2)*exp(-a - b*x)/(S(6)*x) + a**S(3)*b*exp(-a - b*x)/(S(6)*x**S(2)) - a**S(3)*exp(-a - b*x)/(S(3)*x**S(3)) + S(3)*a**S(2)*b**S(3)*exp(-a)*Ei(-b*x)/S(2) + S(3)*a**S(2)*b**S(2)*exp(-a - b*x)/(S(2)*x) - S(3)*a**S(2)*b*exp(-a - b*x)/(S(2)*x**S(2)) - S(3)*a*b**S(3)*exp(-a)*Ei(-b*x) - S(3)*a*b**S(2)*exp(-a - b*x)/x + b**S(3)*exp(-a)*Ei(-b*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*x**m*(e + f*x)**S(2), x), x, F**(a + b*c)*e**S(2)*x**m*(-b*d*x*log(F))**(-m)*Gamma(m + S(1), -b*d*x*log(F))/(b*d*log(F)) - S(2)*F**(a + b*c)*e*f*x**m*(-b*d*x*log(F))**(-m)*Gamma(m + S(2), -b*d*x*log(F))/(b**S(2)*d**S(2)*log(F)**S(2)) + F**(a + b*c)*f**S(2)*x**m*(-b*d*x*log(F))**(-m)*Gamma(m + S(3), -b*d*x*log(F))/(b**S(3)*d**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*x**S(3)*(e + f*x)**S(2), x), x, F**(a + b*c + b*d*x)*e**S(2)*x**S(3)/(b*d*log(F)) + S(2)*F**(a + b*c + b*d*x)*e*f*x**S(4)/(b*d*log(F)) + F**(a + b*c + b*d*x)*f**S(2)*x**S(5)/(b*d*log(F)) - S(3)*F**(a + b*c + b*d*x)*e**S(2)*x**S(2)/(b**S(2)*d**S(2)*log(F)**S(2)) - S(8)*F**(a + b*c + b*d*x)*e*f*x**S(3)/(b**S(2)*d**S(2)*log(F)**S(2)) - S(5)*F**(a + b*c + b*d*x)*f**S(2)*x**S(4)/(b**S(2)*d**S(2)*log(F)**S(2)) + S(6)*F**(a + b*c + b*d*x)*e**S(2)*x/(b**S(3)*d**S(3)*log(F)**S(3)) + S(24)*F**(a + b*c + b*d*x)*e*f*x**S(2)/(b**S(3)*d**S(3)*log(F)**S(3)) + S(20)*F**(a + b*c + b*d*x)*f**S(2)*x**S(3)/(b**S(3)*d**S(3)*log(F)**S(3)) - S(6)*F**(a + b*c + b*d*x)*e**S(2)/(b**S(4)*d**S(4)*log(F)**S(4)) - S(48)*F**(a + b*c + b*d*x)*e*f*x/(b**S(4)*d**S(4)*log(F)**S(4)) - S(60)*F**(a + b*c + b*d*x)*f**S(2)*x**S(2)/(b**S(4)*d**S(4)*log(F)**S(4)) + S(48)*F**(a + b*c + b*d*x)*e*f/(b**S(5)*d**S(5)*log(F)**S(5)) + S(120)*F**(a + b*c + b*d*x)*f**S(2)*x/(b**S(5)*d**S(5)*log(F)**S(5)) - S(120)*F**(a + b*c + b*d*x)*f**S(2)/(b**S(6)*d**S(6)*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*x**S(2)*(e + f*x)**S(2), x), x, F**(a + b*c + b*d*x)*e**S(2)*x**S(2)/(b*d*log(F)) + S(2)*F**(a + b*c + b*d*x)*e*f*x**S(3)/(b*d*log(F)) + F**(a + b*c + b*d*x)*f**S(2)*x**S(4)/(b*d*log(F)) - S(2)*F**(a + b*c + b*d*x)*e**S(2)*x/(b**S(2)*d**S(2)*log(F)**S(2)) - S(6)*F**(a + b*c + b*d*x)*e*f*x**S(2)/(b**S(2)*d**S(2)*log(F)**S(2)) - S(4)*F**(a + b*c + b*d*x)*f**S(2)*x**S(3)/(b**S(2)*d**S(2)*log(F)**S(2)) + S(2)*F**(a + b*c + b*d*x)*e**S(2)/(b**S(3)*d**S(3)*log(F)**S(3)) + S(12)*F**(a + b*c + b*d*x)*e*f*x/(b**S(3)*d**S(3)*log(F)**S(3)) + S(12)*F**(a + b*c + b*d*x)*f**S(2)*x**S(2)/(b**S(3)*d**S(3)*log(F)**S(3)) - S(12)*F**(a + b*c + b*d*x)*e*f/(b**S(4)*d**S(4)*log(F)**S(4)) - S(24)*F**(a + b*c + b*d*x)*f**S(2)*x/(b**S(4)*d**S(4)*log(F)**S(4)) + S(24)*F**(a + b*c + b*d*x)*f**S(2)/(b**S(5)*d**S(5)*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*x*(e + f*x)**S(2), x), x, F**(a + b*c + b*d*x)*e**S(2)*x/(b*d*log(F)) + S(2)*F**(a + b*c + b*d*x)*e*f*x**S(2)/(b*d*log(F)) + F**(a + b*c + b*d*x)*f**S(2)*x**S(3)/(b*d*log(F)) - F**(a + b*c + b*d*x)*e**S(2)/(b**S(2)*d**S(2)*log(F)**S(2)) - S(4)*F**(a + b*c + b*d*x)*e*f*x/(b**S(2)*d**S(2)*log(F)**S(2)) - S(3)*F**(a + b*c + b*d*x)*f**S(2)*x**S(2)/(b**S(2)*d**S(2)*log(F)**S(2)) + S(4)*F**(a + b*c + b*d*x)*e*f/(b**S(3)*d**S(3)*log(F)**S(3)) + S(6)*F**(a + b*c + b*d*x)*f**S(2)*x/(b**S(3)*d**S(3)*log(F)**S(3)) - S(6)*F**(a + b*c + b*d*x)*f**S(2)/(b**S(4)*d**S(4)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2), x), x, F**(a + b*c + b*d*x)*(e + f*x)**S(2)/(b*d*log(F)) - S(2)*F**(a + b*c + b*d*x)*f*(e + f*x)/(b**S(2)*d**S(2)*log(F)**S(2)) + S(2)*F**(a + b*c + b*d*x)*f**S(2)/(b**S(3)*d**S(3)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2)/x, x), x, F**(a + b*c)*e**S(2)*Ei(b*d*x*log(F)) + S(2)*F**(a + b*c + b*d*x)*e*f/(b*d*log(F)) + F**(a + b*c + b*d*x)*f**S(2)*x/(b*d*log(F)) - F**(a + b*c + b*d*x)*f**S(2)/(b**S(2)*d**S(2)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2)/x**S(2), x), x, F**(a + b*c)*b*d*e**S(2)*log(F)*Ei(b*d*x*log(F)) + S(2)*F**(a + b*c)*e*f*Ei(b*d*x*log(F)) - F**(a + b*c + b*d*x)*e**S(2)/x + F**(a + b*c + b*d*x)*f**S(2)/(b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2)/x**S(3), x), x, F**(a + b*c)*b**S(2)*d**S(2)*e**S(2)*log(F)**S(2)*Ei(b*d*x*log(F))/S(2) + S(2)*F**(a + b*c)*b*d*e*f*log(F)*Ei(b*d*x*log(F)) + F**(a + b*c)*f**S(2)*Ei(b*d*x*log(F)) - F**(a + b*c + b*d*x)*b*d*e**S(2)*log(F)/(S(2)*x) - F**(a + b*c + b*d*x)*e**S(2)/(S(2)*x**S(2)) - S(2)*F**(a + b*c + b*d*x)*e*f/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2)/x**S(4), x), x, F**(a + b*c)*b**S(3)*d**S(3)*e**S(2)*log(F)**S(3)*Ei(b*d*x*log(F))/S(6) + F**(a + b*c)*b**S(2)*d**S(2)*e*f*log(F)**S(2)*Ei(b*d*x*log(F)) + F**(a + b*c)*b*d*f**S(2)*log(F)*Ei(b*d*x*log(F)) - F**(a + b*c + b*d*x)*b**S(2)*d**S(2)*e**S(2)*log(F)**S(2)/(S(6)*x) - F**(a + b*c + b*d*x)*b*d*e**S(2)*log(F)/(S(6)*x**S(2)) - F**(a + b*c + b*d*x)*b*d*e*f*log(F)/x - F**(a + b*c + b*d*x)*e**S(2)/(S(3)*x**S(3)) - F**(a + b*c + b*d*x)*e*f/x**S(2) - F**(a + b*c + b*d*x)*f**S(2)/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x))*(e + f*x)**S(2)/x**S(5), x), x, F**(a + b*c)*b**S(4)*d**S(4)*e**S(2)*log(F)**S(4)*Ei(b*d*x*log(F))/S(24) + F**(a + b*c)*b**S(3)*d**S(3)*e*f*log(F)**S(3)*Ei(b*d*x*log(F))/S(3) + F**(a + b*c)*b**S(2)*d**S(2)*f**S(2)*log(F)**S(2)*Ei(b*d*x*log(F))/S(2) - F**(a + b*c + b*d*x)*b**S(3)*d**S(3)*e**S(2)*log(F)**S(3)/(S(24)*x) - F**(a + b*c + b*d*x)*b**S(2)*d**S(2)*e**S(2)*log(F)**S(2)/(S(24)*x**S(2)) - F**(a + b*c + b*d*x)*b**S(2)*d**S(2)*e*f*log(F)**S(2)/(S(3)*x) - F**(a + b*c + b*d*x)*b*d*e**S(2)*log(F)/(S(12)*x**S(3)) - F**(a + b*c + b*d*x)*b*d*e*f*log(F)/(S(3)*x**S(2)) - F**(a + b*c + b*d*x)*b*d*f**S(2)*log(F)/(S(2)*x) - F**(a + b*c + b*d*x)*e**S(2)/(S(4)*x**S(4)) - S(2)*F**(a + b*c + b*d*x)*e*f/(S(3)*x**S(3)) - F**(a + b*c + b*d*x)*f**S(2)/(S(2)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*(c + d*x)**S(3)*exp(-a - b*x), x), x, -d**S(3)*(a + b*x)**S(7)*exp(-a - b*x)/b**S(4) - S(7)*d**S(3)*(a + b*x)**S(6)*exp(-a - b*x)/b**S(4) - S(42)*d**S(3)*(a + b*x)**S(5)*exp(-a - b*x)/b**S(4) - S(210)*d**S(3)*(a + b*x)**S(4)*exp(-a - b*x)/b**S(4) - S(840)*d**S(3)*(a + b*x)**S(3)*exp(-a - b*x)/b**S(4) - S(2520)*d**S(3)*(a + b*x)**S(2)*exp(-a - b*x)/b**S(4) - S(5040)*d**S(3)*(a + b*x)*exp(-a - b*x)/b**S(4) - S(5040)*d**S(3)*exp(-a - b*x)/b**S(4) - S(3)*d**S(2)*(a + b*x)**S(6)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(18)*d**S(2)*(a + b*x)**S(5)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(90)*d**S(2)*(a + b*x)**S(4)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(360)*d**S(2)*(a + b*x)**S(3)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(1080)*d**S(2)*(a + b*x)**S(2)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(2160)*d**S(2)*(a + b*x)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(2160)*d**S(2)*(-a*d + b*c)*exp(-a - b*x)/b**S(4) - S(3)*d*(a + b*x)**S(5)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - S(15)*d*(a + b*x)**S(4)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - S(60)*d*(a + b*x)**S(3)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - S(180)*d*(a + b*x)**S(2)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - S(360)*d*(a + b*x)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - S(360)*d*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(4) - (a + b*x)**S(4)*(-a*d + b*c)**S(3)*exp(-a - b*x)/b**S(4) - S(4)*(a + b*x)**S(3)*(-a*d + b*c)**S(3)*exp(-a - b*x)/b**S(4) - S(12)*(a + b*x)**S(2)*(-a*d + b*c)**S(3)*exp(-a - b*x)/b**S(4) - S(24)*(a + b*x)*(-a*d + b*c)**S(3)*exp(-a - b*x)/b**S(4) - S(24)*(-a*d + b*c)**S(3)*exp(-a - b*x)/b**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*(c + d*x)**S(2)*exp(-a - b*x), x), x, -d**S(2)*(a + b*x)**S(6)*exp(-a - b*x)/b**S(3) - S(6)*d**S(2)*(a + b*x)**S(5)*exp(-a - b*x)/b**S(3) - S(30)*d**S(2)*(a + b*x)**S(4)*exp(-a - b*x)/b**S(3) - S(120)*d**S(2)*(a + b*x)**S(3)*exp(-a - b*x)/b**S(3) - S(360)*d**S(2)*(a + b*x)**S(2)*exp(-a - b*x)/b**S(3) - S(720)*d**S(2)*(a + b*x)*exp(-a - b*x)/b**S(3) - S(720)*d**S(2)*exp(-a - b*x)/b**S(3) - S(2)*d*(a + b*x)**S(5)*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - S(10)*d*(a + b*x)**S(4)*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - S(40)*d*(a + b*x)**S(3)*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - S(120)*d*(a + b*x)**S(2)*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - S(240)*d*(a + b*x)*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - S(240)*d*(-a*d + b*c)*exp(-a - b*x)/b**S(3) - (a + b*x)**S(4)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(3) - S(4)*(a + b*x)**S(3)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(3) - S(12)*(a + b*x)**S(2)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(3) - S(24)*(a + b*x)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(3) - S(24)*(-a*d + b*c)**S(2)*exp(-a - b*x)/b**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*(c + d*x)*exp(-a - b*x), x), x, -d*(a + b*x)**S(5)*exp(-a - b*x)/b**S(2) - S(5)*d*(a + b*x)**S(4)*exp(-a - b*x)/b**S(2) - S(20)*d*(a + b*x)**S(3)*exp(-a - b*x)/b**S(2) - S(60)*d*(a + b*x)**S(2)*exp(-a - b*x)/b**S(2) - S(120)*d*(a + b*x)*exp(-a - b*x)/b**S(2) - S(120)*d*exp(-a - b*x)/b**S(2) - (a + b*x)**S(4)*(-a*d + b*c)*exp(-a - b*x)/b**S(2) - (a + b*x)**S(3)*(-S(4)*a*d + S(4)*b*c)*exp(-a - b*x)/b**S(2) - (a + b*x)**S(2)*(-S(12)*a*d + S(12)*b*c)*exp(-a - b*x)/b**S(2) - (a + b*x)*(-S(24)*a*d + S(24)*b*c)*exp(-a - b*x)/b**S(2) - (-S(24)*a*d + S(24)*b*c)*exp(-a - b*x)/b**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x), x), x, -(a + b*x)**S(4)*exp(-a - b*x)/b - S(4)*(a + b*x)**S(3)*exp(-a - b*x)/b - S(12)*(a + b*x)**S(2)*exp(-a - b*x)/b - S(24)*(a + b*x)*exp(-a - b*x)/b - S(24)*exp(-a - b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x)/(c + d*x), x), x, -(a + b*x)**S(3)*exp(-a - b*x)/d - S(3)*(a + b*x)**S(2)*exp(-a - b*x)/d - S(6)*(a + b*x)*exp(-a - b*x)/d - S(6)*exp(-a - b*x)/d + (a + b*x)**S(2)*(-a*d + b*c)*exp(-a - b*x)/d**S(2) + (a + b*x)*(-S(2)*a*d + S(2)*b*c)*exp(-a - b*x)/d**S(2) + (-S(2)*a*d + S(2)*b*c)*exp(-a - b*x)/d**S(2) - (a + b*x)*(-a*d + b*c)**S(2)*exp(-a - b*x)/d**S(3) - (-a*d + b*c)**S(2)*exp(-a - b*x)/d**S(3) + (-a*d + b*c)**S(3)*exp(-a - b*x)/d**S(4) + (-a*d + b*c)**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x)/(c + d*x)**S(2), x), x, -b**S(3)*(c + d*x)**S(2)*exp(-a - b*x)/d**S(4) - S(2)*b**S(2)*(c + d*x)*exp(-a - b*x)/d**S(3) + S(4)*b**S(2)*(c + d*x)*(-a*d + b*c)*exp(-a - b*x)/d**S(4) - S(2)*b*exp(-a - b*x)/d**S(2) + S(4)*b*(-a*d + b*c)*exp(-a - b*x)/d**S(3) - S(6)*b*(-a*d + b*c)**S(2)*exp(-a - b*x)/d**S(4) - S(4)*b*(-a*d + b*c)**S(3)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(5) - b*(-a*d + b*c)**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(6) - (-a*d + b*c)**S(4)*exp(-a - b*x)/(d**S(5)*(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x)/(c + d*x)**S(3), x), x, -b**S(3)*x*exp(-a - b*x)/d**S(3) - b**S(2)*exp(-a - b*x)/d**S(3) + b**S(2)*(-S(4)*a*d + S(3)*b*c)*exp(-a - b*x)/d**S(4) + S(6)*b**S(2)*(-a*d + b*c)**S(2)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(5) + S(4)*b**S(2)*(-a*d + b*c)**S(3)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(6) + b**S(2)*(-a*d + b*c)**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/(S(2)*d**S(7)) + S(4)*b*(-a*d + b*c)**S(3)*exp(-a - b*x)/(d**S(5)*(c + d*x)) + b*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(2)*d**S(6)*(c + d*x)) - (-a*d + b*c)**S(4)*exp(-a - b*x)/(S(2)*d**S(5)*(c + d*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x)/(c + d*x)**S(4), x), x, -b**S(3)*exp(-a - b*x)/d**S(4) - S(4)*b**S(3)*(-a*d + b*c)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(5) - S(6)*b**S(3)*(-a*d + b*c)**S(2)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(6) - S(2)*b**S(3)*(-a*d + b*c)**S(3)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(7) - b**S(3)*(-a*d + b*c)**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/(S(6)*d**S(8)) - S(6)*b**S(2)*(-a*d + b*c)**S(2)*exp(-a - b*x)/(d**S(5)*(c + d*x)) - S(2)*b**S(2)*(-a*d + b*c)**S(3)*exp(-a - b*x)/(d**S(6)*(c + d*x)) - b**S(2)*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(6)*d**S(7)*(c + d*x)) + S(2)*b*(-a*d + b*c)**S(3)*exp(-a - b*x)/(d**S(5)*(c + d*x)**S(2)) + b*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(6)*d**S(6)*(c + d*x)**S(2)) - (-a*d + b*c)**S(4)*exp(-a - b*x)/(S(3)*d**S(5)*(c + d*x)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(-a - b*x)/(c + d*x)**S(5), x), x, b**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(5) + S(4)*b**S(4)*(-a*d + b*c)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(6) + S(3)*b**S(4)*(-a*d + b*c)**S(2)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/d**S(7) + S(2)*b**S(4)*(-a*d + b*c)**S(3)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/(S(3)*d**S(8)) + b**S(4)*(-a*d + b*c)**S(4)*exp(-a + b*c/d)*Ei(-b*(c + d*x)/d)/(S(24)*d**S(9)) + S(4)*b**S(3)*(-a*d + b*c)*exp(-a - b*x)/(d**S(5)*(c + d*x)) + S(3)*b**S(3)*(-a*d + b*c)**S(2)*exp(-a - b*x)/(d**S(6)*(c + d*x)) + S(2)*b**S(3)*(-a*d + b*c)**S(3)*exp(-a - b*x)/(S(3)*d**S(7)*(c + d*x)) + b**S(3)*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(24)*d**S(8)*(c + d*x)) - S(3)*b**S(2)*(-a*d + b*c)**S(2)*exp(-a - b*x)/(d**S(5)*(c + d*x)**S(2)) - S(2)*b**S(2)*(-a*d + b*c)**S(3)*exp(-a - b*x)/(S(3)*d**S(6)*(c + d*x)**S(2)) - b**S(2)*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(24)*d**S(7)*(c + d*x)**S(2)) + S(4)*b*(-a*d + b*c)**S(3)*exp(-a - b*x)/(S(3)*d**S(5)*(c + d*x)**S(3)) + b*(-a*d + b*c)**S(4)*exp(-a - b*x)/(S(12)*d**S(6)*(c + d*x)**S(3)) - (-a*d + b*c)**S(4)*exp(-a - b*x)/(S(4)*d**S(5)*(c + d*x)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*x**m*(e*n + e*(b*c*x*log(F) + m + S(1))*log(d*x) + e)*log(d*x)**n, x), x, F**(c*(a + b*x))*e*x**(m + S(1))*log(d*x)**(n + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*x**S(2)*(e*n + e*(b*c*x*log(F) + S(3))*log(d*x) + e)*log(d*x)**n, x), x, F**(c*(a + b*x))*e*x**S(3)*log(d*x)**(n + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*x*(e*n + e*(b*c*x*log(F) + S(2))*log(d*x) + e)*log(d*x)**n, x), x, F**(c*(a + b*x))*e*x**S(2)*log(d*x)**(n + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(e*n + e*(b*c*x*log(F) + S(1))*log(d*x) + e)*log(d*x)**n, x), x, F**(c*(a + b*x))*e*x*log(d*x)**(n + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(b*c*e*x*log(F)*log(d*x) + e*n + e)*log(d*x)**n/x, x), x, F**(c*(a + b*x))*e*log(d*x)**(n + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(e*n + e*(b*c*x*log(F) + S(-1))*log(d*x) + e)*log(d*x)**n/x**S(2), x), x, F**(c*(a + b*x))*e*log(d*x)**(n + S(1))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x))*(e*n + e*(b*c*x*log(F) + S(-2))*log(d*x) + e)*log(d*x)**n/x**S(3), x), x, F**(c*(a + b*x))*e*log(d*x)**(n + S(1))/x**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(4)*sqrt(exp(a + b*x)), x), x, S(2)*x**S(4)*sqrt(exp(a + b*x))/b - S(16)*x**S(3)*sqrt(exp(a + b*x))/b**S(2) + S(96)*x**S(2)*sqrt(exp(a + b*x))/b**S(3) - S(384)*x*sqrt(exp(a + b*x))/b**S(4) + S(768)*sqrt(exp(a + b*x))/b**S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*sqrt(exp(a + b*x)), x), x, S(2)*x**S(3)*sqrt(exp(a + b*x))/b - S(12)*x**S(2)*sqrt(exp(a + b*x))/b**S(2) + S(48)*x*sqrt(exp(a + b*x))/b**S(3) - S(96)*sqrt(exp(a + b*x))/b**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*sqrt(exp(a + b*x)), x), x, S(2)*x**S(2)*sqrt(exp(a + b*x))/b - S(8)*x*sqrt(exp(a + b*x))/b**S(2) + S(16)*sqrt(exp(a + b*x))/b**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*sqrt(exp(a + b*x)), x), x, S(2)*x*sqrt(exp(a + b*x))/b - S(4)*sqrt(exp(a + b*x))/b**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(a + b*x)), x), x, S(2)*sqrt(exp(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(a + b*x))/x, x), x, exp(-b*x/S(2))*sqrt(exp(a + b*x))*Ei(b*x/S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(a + b*x))/x**S(2), x), x, b*exp(-b*x/S(2))*sqrt(exp(a + b*x))*Ei(b*x/S(2))/S(2) - sqrt(exp(a + b*x))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(a + b*x))/x**S(3), x), x, b**S(2)*exp(-b*x/S(2))*sqrt(exp(a + b*x))*Ei(b*x/S(2))/S(8) - b*sqrt(exp(a + b*x))/(S(4)*x) - sqrt(exp(a + b*x))/(S(2)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(a + b*x))/x**S(4), x), x, b**S(3)*exp(-b*x/S(2))*sqrt(exp(a + b*x))*Ei(b*x/S(2))/S(48) - b**S(2)*sqrt(exp(a + b*x))/(S(24)*x) - b*sqrt(exp(a + b*x))/(S(12)*x**S(2)) - sqrt(exp(a + b*x))/(S(3)*x**S(3)), expand=True, _diff=True, _numerical=True)
def test_2():
assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(3)/(a + b*f**(c + d*x)), x), x, x**S(3)*log(S(1) + b*f**(c + d*x)/a)/(b*d*log(f)) + S(3)*x**S(2)*polylog(S(2), -b*f**(c + d*x)/a)/(b*d**S(2)*log(f)**S(2)) - S(6)*x*polylog(S(3), -b*f**(c + d*x)/a)/(b*d**S(3)*log(f)**S(3)) + S(6)*polylog(S(4), -b*f**(c + d*x)/a)/(b*d**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(2)/(a + b*f**(c + d*x)), x), x, x**S(2)*log(S(1) + b*f**(c + d*x)/a)/(b*d*log(f)) + S(2)*x*polylog(S(2), -b*f**(c + d*x)/a)/(b*d**S(2)*log(f)**S(2)) - S(2)*polylog(S(3), -b*f**(c + d*x)/a)/(b*d**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x/(a + b*f**(c + d*x)), x), x, x*log(S(1) + b*f**(c + d*x)/a)/(b*d*log(f)) + polylog(S(2), -b*f**(c + d*x)/a)/(b*d**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(a + b*f**(c + d*x)), x), x, log(a + b*f**(c + d*x))/(b*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x*(a + b*f**(c + d*x))), x), x, Integral(f**(c + d*x)/(x*(a + b*f**(c + d*x))), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x**S(2)*(a + b*f**(c + d*x))), x), x, Integral(f**(c + d*x)/(x**S(2)*(a + b*f**(c + d*x))), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(3)/(a + b*f**(c + d*x))**S(2), x), x, -x**S(3)/(b*d*(a + b*f**(c + d*x))*log(f)) - S(3)*x**S(2)*log(a*f**(-c - d*x)/b + S(1))/(a*b*d**S(2)*log(f)**S(2)) + S(6)*x*polylog(S(2), -a*f**(-c - d*x)/b)/(a*b*d**S(3)*log(f)**S(3)) + S(6)*polylog(S(3), -a*f**(-c - d*x)/b)/(a*b*d**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(2)/(a + b*f**(c + d*x))**S(2), x), x, -x**S(2)/(b*d*(a + b*f**(c + d*x))*log(f)) - S(2)*x*log(a*f**(-c - d*x)/b + S(1))/(a*b*d**S(2)*log(f)**S(2)) + S(2)*polylog(S(2), -a*f**(-c - d*x)/b)/(a*b*d**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x/(a + b*f**(c + d*x))**S(2), x), x, -x/(b*d*(a + b*f**(c + d*x))*log(f)) + x/(a*b*d*log(f)) - log(a + b*f**(c + d*x))/(a*b*d**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(a + b*f**(c + d*x))**S(2), x), x, -S(1)/(b*d*(a + b*f**(c + d*x))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x*(a + b*f**(c + d*x))**S(2)), x), x, -Integral(S(1)/(x**S(2)*(a + b*f**(c + d*x))), x)/(b*d*log(f)) - S(1)/(b*d*x*(a + b*f**(c + d*x))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x**S(2)*(a + b*f**(c + d*x))**S(2)), x), x, -S(2)*Integral(S(1)/(x**S(3)*(a + b*f**(c + d*x))), x)/(b*d*log(f)) - S(1)/(b*d*x**S(2)*(a + b*f**(c + d*x))*log(f)), expand=True, _diff=True, _numerical=True)
# recursion assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(3)/(a + b*f**(c + d*x))**S(3), x), x, -x**S(3)/(S(2)*b*d*(a + b*f**(c + d*x))**S(2)*log(f)) + S(3)*x**S(2)/(S(2)*a*b*d**S(2)*(a + b*f**(c + d*x))*log(f)**S(2)) + x**S(3)/(S(2)*a**S(2)*b*d*log(f)) - S(3)*x**S(2)*log(S(1) + b*f**(c + d*x)/a)/(S(2)*a**S(2)*b*d**S(2)*log(f)**S(2)) + S(3)*x*log(a*f**(-c - d*x)/b + S(1))/(a**S(2)*b*d**S(3)*log(f)**S(3)) - S(3)*x*polylog(S(2), -b*f**(c + d*x)/a)/(a**S(2)*b*d**S(3)*log(f)**S(3)) - S(3)*polylog(S(2), -a*f**(-c - d*x)/b)/(a**S(2)*b*d**S(4)*log(f)**S(4)) + S(3)*polylog(S(3), -b*f**(c + d*x)/a)/(a**S(2)*b*d**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x**S(2)/(a + b*f**(c + d*x))**S(3), x), x, -x**S(2)/(S(2)*b*d*(a + b*f**(c + d*x))**S(2)*log(f)) + x/(a*b*d**S(2)*(a + b*f**(c + d*x))*log(f)**S(2)) + x**S(2)/(S(2)*a**S(2)*b*d*log(f)) - x*log(S(1) + b*f**(c + d*x)/a)/(a**S(2)*b*d**S(2)*log(f)**S(2)) - x/(a**S(2)*b*d**S(2)*log(f)**S(2)) + log(a + b*f**(c + d*x))/(a**S(2)*b*d**S(3)*log(f)**S(3)) - polylog(S(2), -b*f**(c + d*x)/a)/(a**S(2)*b*d**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)*x/(a + b*f**(c + d*x))**S(3), x), x, -x/(S(2)*b*d*(a + b*f**(c + d*x))**S(2)*log(f)) + S(1)/(S(2)*a*b*d**S(2)*(a + b*f**(c + d*x))*log(f)**S(2)) + x/(S(2)*a**S(2)*b*d*log(f)) - log(a + b*f**(c + d*x))/(S(2)*a**S(2)*b*d**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(a + b*f**(c + d*x))**S(3), x), x, -S(1)/(S(2)*b*d*(a + b*f**(c + d*x))**S(2)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x*(a + b*f**(c + d*x))**S(3)), x), x, -Integral(S(1)/(x**S(2)*(a + b*f**(c + d*x))**S(2)), x)/(S(2)*b*d*log(f)) - S(1)/(S(2)*b*d*x*(a + b*f**(c + d*x))**S(2)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c + d*x)/(x**S(2)*(a + b*f**(c + d*x))**S(3)), x), x, -Integral(S(1)/(x**S(3)*(a + b*f**(c + d*x))**S(2)), x)/(b*d*log(f)) - S(1)/(S(2)*b*d*x**S(2)*(a + b*f**(c + d*x))**S(2)*log(f)), expand=True, _diff=True, _numerical=True)
def test_3():
assert rubi_test(rubi_integrate(exp(x)/(S(6)*exp(x) + S(4)), x), x, log(S(3)*exp(x) + S(2))/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(a + b*exp(x)), x), x, log(a + b*exp(x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(d*x)/(a + b*exp(c + d*x)), x), x, exp(-c)*log(a + b*exp(c + d*x))/(b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(c + d*x)/(a + b*exp(c + d*x)), x), x, log(a + b*exp(c + d*x))/(b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(x))**n*exp(x), x), x, (a + b*exp(x))**(n + S(1))/(b*(n + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c + d*x))**n*exp(d*x), x), x, (a + b*exp(c + d*x))**(n + S(1))*exp(-c)/(b*d*(n + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c + d*x))**n*exp(c + d*x), x), x, (a + b*exp(c + d*x))**(n + S(1))/(b*d*(n + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**x/(F**x*b + a), x), x, log(F**x*b + a)/(b*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(d*x)/(F**(c + d*x)*b + a), x), x, F**(-c)*log(F**(c + d*x)*b + a)/(b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c + d*x)/(F**(c + d*x)*b + a), x), x, log(F**(c + d*x)*b + a)/(b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**x*(F**x*b + a)**n, x), x, (F**x*b + a)**(n + S(1))/(b*(n + S(1))*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(d*x)*(F**(c + d*x)*b + a)**n, x), x, F**(-c)*(F**(c + d*x)*b + a)**(n + S(1))/(b*d*(n + S(1))*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c + d*x)*(F**(c + d*x)*b + a)**n, x), x, (F**(c + d*x)*b + a)**(n + S(1))/(b*d*(n + S(1))*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**m, x), x, -f**a*x**(m + S(1))*(-b*x**S(2)*log(f))**(-m/S(2) + S(-1)/2)*Gamma(m/S(2) + S(1)/2, -b*x**S(2)*log(f))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(11), x), x, -f**a*Gamma(S(6), -b*x**S(2)*log(f))/(S(2)*b**S(6)*log(f)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(9), x), x, f**a*Gamma(S(5), -b*x**S(2)*log(f))/(S(2)*b**S(5)*log(f)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(7), x), x, f**(a + b*x**S(2))*x**S(6)/(S(2)*b*log(f)) - S(3)*f**(a + b*x**S(2))*x**S(4)/(S(2)*b**S(2)*log(f)**S(2)) + S(3)*f**(a + b*x**S(2))*x**S(2)/(b**S(3)*log(f)**S(3)) - S(3)*f**(a + b*x**S(2))/(b**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(5), x), x, f**(a + b*x**S(2))*x**S(4)/(S(2)*b*log(f)) - f**(a + b*x**S(2))*x**S(2)/(b**S(2)*log(f)**S(2)) + f**(a + b*x**S(2))/(b**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(3), x), x, f**(a + b*x**S(2))*x**S(2)/(S(2)*b*log(f)) - f**(a + b*x**S(2))/(S(2)*b**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x, x), x, f**(a + b*x**S(2))/(S(2)*b*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x, x), x, f**a*Ei(b*x**S(2)*log(f))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(3), x), x, b*f**a*log(f)*Ei(b*x**S(2)*log(f))/S(2) - f**(a + b*x**S(2))/(S(2)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(5), x), x, b**S(2)*f**a*log(f)**S(2)*Ei(b*x**S(2)*log(f))/S(4) - b*f**(a + b*x**S(2))*log(f)/(S(4)*x**S(2)) - f**(a + b*x**S(2))/(S(4)*x**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(7), x), x, b**S(3)*f**a*log(f)**S(3)*Ei(b*x**S(2)*log(f))/S(12) - b**S(2)*f**(a + b*x**S(2))*log(f)**S(2)/(S(12)*x**S(2)) - b*f**(a + b*x**S(2))*log(f)/(S(12)*x**S(4)) - f**(a + b*x**S(2))/(S(6)*x**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(9), x), x, -b**S(4)*f**a*Gamma(S(-4), -b*x**S(2)*log(f))*log(f)**S(4)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(11), x), x, b**S(5)*f**a*Gamma(S(-5), -b*x**S(2)*log(f))*log(f)**S(5)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(12), x), x, -f**a*x**S(13)*Gamma(S(13)/2, -b*x**S(2)*log(f))/(S(2)*(-b*x**S(2)*log(f))**(S(13)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(10), x), x, -f**a*x**S(11)*Gamma(S(11)/2, -b*x**S(2)*log(f))/(S(2)*(-b*x**S(2)*log(f))**(S(11)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(8), x), x, f**(a + b*x**S(2))*x**S(7)/(S(2)*b*log(f)) - S(7)*f**(a + b*x**S(2))*x**S(5)/(S(4)*b**S(2)*log(f)**S(2)) + S(35)*f**(a + b*x**S(2))*x**S(3)/(S(8)*b**S(3)*log(f)**S(3)) - S(105)*f**(a + b*x**S(2))*x/(S(16)*b**S(4)*log(f)**S(4)) + S(105)*sqrt(pi)*f**a*erfi(sqrt(b)*x*sqrt(log(f)))/(S(32)*b**(S(9)/2)*log(f)**(S(9)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(6), x), x, f**(a + b*x**S(2))*x**S(5)/(S(2)*b*log(f)) - S(5)*f**(a + b*x**S(2))*x**S(3)/(S(4)*b**S(2)*log(f)**S(2)) + S(15)*f**(a + b*x**S(2))*x/(S(8)*b**S(3)*log(f)**S(3)) - S(15)*sqrt(pi)*f**a*erfi(sqrt(b)*x*sqrt(log(f)))/(S(16)*b**(S(7)/2)*log(f)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(4), x), x, f**(a + b*x**S(2))*x**S(3)/(S(2)*b*log(f)) - S(3)*f**(a + b*x**S(2))*x/(S(4)*b**S(2)*log(f)**S(2)) + S(3)*sqrt(pi)*f**a*erfi(sqrt(b)*x*sqrt(log(f)))/(S(8)*b**(S(5)/2)*log(f)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))*x**S(2), x), x, f**(a + b*x**S(2))*x/(S(2)*b*log(f)) - sqrt(pi)*f**a*erfi(sqrt(b)*x*sqrt(log(f)))/(S(4)*b**(S(3)/2)*log(f)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2)), x), x, sqrt(pi)*f**a*erfi(sqrt(b)*x*sqrt(log(f)))/(S(2)*sqrt(b)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(2), x), x, sqrt(pi)*sqrt(b)*f**a*sqrt(log(f))*erfi(sqrt(b)*x*sqrt(log(f))) - f**(a + b*x**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(4), x), x, S(2)*sqrt(pi)*b**(S(3)/2)*f**a*log(f)**(S(3)/2)*erfi(sqrt(b)*x*sqrt(log(f)))/S(3) - S(2)*b*f**(a + b*x**S(2))*log(f)/(S(3)*x) - f**(a + b*x**S(2))/(S(3)*x**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(6), x), x, S(4)*sqrt(pi)*b**(S(5)/2)*f**a*log(f)**(S(5)/2)*erfi(sqrt(b)*x*sqrt(log(f)))/S(15) - S(4)*b**S(2)*f**(a + b*x**S(2))*log(f)**S(2)/(S(15)*x) - S(2)*b*f**(a + b*x**S(2))*log(f)/(S(15)*x**S(3)) - f**(a + b*x**S(2))/(S(5)*x**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(8), x), x, S(8)*sqrt(pi)*b**(S(7)/2)*f**a*log(f)**(S(7)/2)*erfi(sqrt(b)*x*sqrt(log(f)))/S(105) - S(8)*b**S(3)*f**(a + b*x**S(2))*log(f)**S(3)/(S(105)*x) - S(4)*b**S(2)*f**(a + b*x**S(2))*log(f)**S(2)/(S(105)*x**S(3)) - S(2)*b*f**(a + b*x**S(2))*log(f)/(S(35)*x**S(5)) - f**(a + b*x**S(2))/(S(7)*x**S(7)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(10), x), x, -f**a*(-b*x**S(2)*log(f))**(S(9)/2)*Gamma(S(-9)/2, -b*x**S(2)*log(f))/(S(2)*x**S(9)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(2))/x**S(12), x), x, -f**a*(-b*x**S(2)*log(f))**(S(11)/2)*Gamma(S(-11)/2, -b*x**S(2)*log(f))/(S(2)*x**S(11)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**m, x), x, -f**a*x**(m + S(1))*(-b*x**S(3)*log(f))**(-m/S(3) + S(-1)/3)*Gamma(m/S(3) + S(1)/3, -b*x**S(3)*log(f))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(17), x), x, -f**a*Gamma(S(6), -b*x**S(3)*log(f))/(S(3)*b**S(6)*log(f)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(14), x), x, f**a*Gamma(S(5), -b*x**S(3)*log(f))/(S(3)*b**S(5)*log(f)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(11), x), x, f**(a + b*x**S(3))*x**S(9)/(S(3)*b*log(f)) - f**(a + b*x**S(3))*x**S(6)/(b**S(2)*log(f)**S(2)) + S(2)*f**(a + b*x**S(3))*x**S(3)/(b**S(3)*log(f)**S(3)) - S(2)*f**(a + b*x**S(3))/(b**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(8), x), x, f**(a + b*x**S(3))*x**S(6)/(S(3)*b*log(f)) - S(2)*f**(a + b*x**S(3))*x**S(3)/(S(3)*b**S(2)*log(f)**S(2)) + S(2)*f**(a + b*x**S(3))/(S(3)*b**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(5), x), x, f**(a + b*x**S(3))*x**S(3)/(S(3)*b*log(f)) - f**(a + b*x**S(3))/(S(3)*b**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(2), x), x, f**(a + b*x**S(3))/(S(3)*b*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x, x), x, f**a*Ei(b*x**S(3)*log(f))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(4), x), x, b*f**a*log(f)*Ei(b*x**S(3)*log(f))/S(3) - f**(a + b*x**S(3))/(S(3)*x**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(7), x), x, b**S(2)*f**a*log(f)**S(2)*Ei(b*x**S(3)*log(f))/S(6) - b*f**(a + b*x**S(3))*log(f)/(S(6)*x**S(3)) - f**(a + b*x**S(3))/(S(6)*x**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(10), x), x, b**S(3)*f**a*log(f)**S(3)*Ei(b*x**S(3)*log(f))/S(18) - b**S(2)*f**(a + b*x**S(3))*log(f)**S(2)/(S(18)*x**S(3)) - b*f**(a + b*x**S(3))*log(f)/(S(18)*x**S(6)) - f**(a + b*x**S(3))/(S(9)*x**S(9)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(13), x), x, -b**S(4)*f**a*Gamma(S(-4), -b*x**S(3)*log(f))*log(f)**S(4)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(16), x), x, b**S(5)*f**a*Gamma(S(-5), -b*x**S(3)*log(f))*log(f)**S(5)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(4), x), x, -f**a*x**S(5)*Gamma(S(5)/3, -b*x**S(3)*log(f))/(S(3)*(-b*x**S(3)*log(f))**(S(5)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x**S(3), x), x, -f**a*x**S(4)*Gamma(S(4)/3, -b*x**S(3)*log(f))/(S(3)*(-b*x**S(3)*log(f))**(S(4)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))*x, x), x, -f**a*x**S(2)*Gamma(S(2)/3, -b*x**S(3)*log(f))/(S(3)*(-b*x**S(3)*log(f))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3)), x), x, -f**a*x*Gamma(S(1)/3, -b*x**S(3)*log(f))/(S(3)*(-b*x**S(3)*log(f))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(2), x), x, -f**a*(-b*x**S(3)*log(f))**(S(1)/3)*Gamma(S(-1)/3, -b*x**S(3)*log(f))/(S(3)*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**S(3))/x**S(3), x), x, -f**a*(-b*x**S(3)*log(f))**(S(2)/3)*Gamma(S(-2)/3, -b*x**S(3)*log(f))/(S(3)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(S(4)*x**S(3)), x), x, exp(S(4)*x**S(3))/S(12), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)*x**m, x), x, f**a*x**(m + S(1))*(-b*log(f)/x)**(m + S(1))*Gamma(-m + S(-1), -b*log(f)/x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)*x**S(4), x), x, -b**S(5)*f**a*Gamma(S(-5), -b*log(f)/x)*log(f)**S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)*x**S(3), x), x, b**S(4)*f**a*Gamma(S(-4), -b*log(f)/x)*log(f)**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)*x**S(2), x), x, -b**S(3)*f**a*log(f)**S(3)*Ei(b*log(f)/x)/S(6) + b**S(2)*f**(a + b/x)*x*log(f)**S(2)/S(6) + b*f**(a + b/x)*x**S(2)*log(f)/S(6) + f**(a + b/x)*x**S(3)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)*x, x), x, -b**S(2)*f**a*log(f)**S(2)*Ei(b*log(f)/x)/S(2) + b*f**(a + b/x)*x*log(f)/S(2) + f**(a + b/x)*x**S(2)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x), x), x, -b*f**a*log(f)*Ei(b*log(f)/x) + f**(a + b/x)*x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x, x), x, -f**a*Ei(b*log(f)/x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(2), x), x, -f**(a + b/x)/(b*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(3), x), x, -f**(a + b/x)/(b*x*log(f)) + f**(a + b/x)/(b**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(4), x), x, -f**(a + b/x)/(b*x**S(2)*log(f)) + S(2)*f**(a + b/x)/(b**S(2)*x*log(f)**S(2)) - S(2)*f**(a + b/x)/(b**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(5), x), x, -f**(a + b/x)/(b*x**S(3)*log(f)) + S(3)*f**(a + b/x)/(b**S(2)*x**S(2)*log(f)**S(2)) - S(6)*f**(a + b/x)/(b**S(3)*x*log(f)**S(3)) + S(6)*f**(a + b/x)/(b**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(6), x), x, -f**a*Gamma(S(5), -b*log(f)/x)/(b**S(5)*log(f)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x)/x**S(7), x), x, f**a*Gamma(S(6), -b*log(f)/x)/(b**S(6)*log(f)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**m, x), x, f**a*x**(m + S(1))*(-b*log(f)/x**S(2))**(m/S(2) + S(1)/2)*Gamma(-m/S(2) + S(-1)/2, -b*log(f)/x**S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(9), x), x, -b**S(5)*f**a*Gamma(S(-5), -b*log(f)/x**S(2))*log(f)**S(5)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(7), x), x, b**S(4)*f**a*Gamma(S(-4), -b*log(f)/x**S(2))*log(f)**S(4)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(5), x), x, -b**S(3)*f**a*log(f)**S(3)*Ei(b*log(f)/x**S(2))/S(12) + b**S(2)*f**(a + b/x**S(2))*x**S(2)*log(f)**S(2)/S(12) + b*f**(a + b/x**S(2))*x**S(4)*log(f)/S(12) + f**(a + b/x**S(2))*x**S(6)/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(3), x), x, -b**S(2)*f**a*log(f)**S(2)*Ei(b*log(f)/x**S(2))/S(4) + b*f**(a + b/x**S(2))*x**S(2)*log(f)/S(4) + f**(a + b/x**S(2))*x**S(4)/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x, x), x, -b*f**a*log(f)*Ei(b*log(f)/x**S(2))/S(2) + f**(a + b/x**S(2))*x**S(2)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x, x), x, -f**a*Ei(b*log(f)/x**S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(3), x), x, -f**(a + b/x**S(2))/(S(2)*b*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(5), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(2)*log(f)) + f**(a + b/x**S(2))/(S(2)*b**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(7), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(4)*log(f)) + f**(a + b/x**S(2))/(b**S(2)*x**S(2)*log(f)**S(2)) - f**(a + b/x**S(2))/(b**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(9), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(6)*log(f)) + S(3)*f**(a + b/x**S(2))/(S(2)*b**S(2)*x**S(4)*log(f)**S(2)) - S(3)*f**(a + b/x**S(2))/(b**S(3)*x**S(2)*log(f)**S(3)) + S(3)*f**(a + b/x**S(2))/(b**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(11), x), x, -f**a*Gamma(S(5), -b*log(f)/x**S(2))/(S(2)*b**S(5)*log(f)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(13), x), x, f**a*Gamma(S(6), -b*log(f)/x**S(2))/(S(2)*b**S(6)*log(f)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(10), x), x, f**a*x**S(11)*(-b*log(f)/x**S(2))**(S(11)/2)*Gamma(S(-11)/2, -b*log(f)/x**S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(8), x), x, f**a*x**S(9)*(-b*log(f)/x**S(2))**(S(9)/2)*Gamma(S(-9)/2, -b*log(f)/x**S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(6), x), x, -S(8)*sqrt(pi)*b**(S(7)/2)*f**a*log(f)**(S(7)/2)*erfi(sqrt(b)*sqrt(log(f))/x)/S(105) + S(8)*b**S(3)*f**(a + b/x**S(2))*x*log(f)**S(3)/S(105) + S(4)*b**S(2)*f**(a + b/x**S(2))*x**S(3)*log(f)**S(2)/S(105) + S(2)*b*f**(a + b/x**S(2))*x**S(5)*log(f)/S(35) + f**(a + b/x**S(2))*x**S(7)/S(7), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(4), x), x, -S(4)*sqrt(pi)*b**(S(5)/2)*f**a*log(f)**(S(5)/2)*erfi(sqrt(b)*sqrt(log(f))/x)/S(15) + S(4)*b**S(2)*f**(a + b/x**S(2))*x*log(f)**S(2)/S(15) + S(2)*b*f**(a + b/x**S(2))*x**S(3)*log(f)/S(15) + f**(a + b/x**S(2))*x**S(5)/S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))*x**S(2), x), x, -S(2)*sqrt(pi)*b**(S(3)/2)*f**a*log(f)**(S(3)/2)*erfi(sqrt(b)*sqrt(log(f))/x)/S(3) + S(2)*b*f**(a + b/x**S(2))*x*log(f)/S(3) + f**(a + b/x**S(2))*x**S(3)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2)), x), x, -sqrt(pi)*sqrt(b)*f**a*sqrt(log(f))*erfi(sqrt(b)*sqrt(log(f))/x) + f**(a + b/x**S(2))*x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(2), x), x, -sqrt(pi)*f**a*erfi(sqrt(b)*sqrt(log(f))/x)/(S(2)*sqrt(b)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(4), x), x, -f**(a + b/x**S(2))/(S(2)*b*x*log(f)) + sqrt(pi)*f**a*erfi(sqrt(b)*sqrt(log(f))/x)/(S(4)*b**(S(3)/2)*log(f)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(6), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(3)*log(f)) + S(3)*f**(a + b/x**S(2))/(S(4)*b**S(2)*x*log(f)**S(2)) - S(3)*sqrt(pi)*f**a*erfi(sqrt(b)*sqrt(log(f))/x)/(S(8)*b**(S(5)/2)*log(f)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(8), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(5)*log(f)) + S(5)*f**(a + b/x**S(2))/(S(4)*b**S(2)*x**S(3)*log(f)**S(2)) - S(15)*f**(a + b/x**S(2))/(S(8)*b**S(3)*x*log(f)**S(3)) + S(15)*sqrt(pi)*f**a*erfi(sqrt(b)*sqrt(log(f))/x)/(S(16)*b**(S(7)/2)*log(f)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(10), x), x, -f**(a + b/x**S(2))/(S(2)*b*x**S(7)*log(f)) + S(7)*f**(a + b/x**S(2))/(S(4)*b**S(2)*x**S(5)*log(f)**S(2)) - S(35)*f**(a + b/x**S(2))/(S(8)*b**S(3)*x**S(3)*log(f)**S(3)) + S(105)*f**(a + b/x**S(2))/(S(16)*b**S(4)*x*log(f)**S(4)) - S(105)*sqrt(pi)*f**a*erfi(sqrt(b)*sqrt(log(f))/x)/(S(32)*b**(S(9)/2)*log(f)**(S(9)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(12), x), x, f**a*Gamma(S(11)/2, -b*log(f)/x**S(2))/(S(2)*x**S(11)*(-b*log(f)/x**S(2))**(S(11)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(2))/x**S(14), x), x, f**a*Gamma(S(13)/2, -b*log(f)/x**S(2))/(S(2)*x**S(13)*(-b*log(f)/x**S(2))**(S(13)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**m, x), x, f**a*x**(m + S(1))*(-b*log(f)/x**S(3))**(m/S(3) + S(1)/3)*Gamma(-m/S(3) + S(-1)/3, -b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(14), x), x, -b**S(5)*f**a*Gamma(S(-5), -b*log(f)/x**S(3))*log(f)**S(5)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(11), x), x, b**S(4)*f**a*Gamma(S(-4), -b*log(f)/x**S(3))*log(f)**S(4)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(8), x), x, -b**S(3)*f**a*log(f)**S(3)*Ei(b*log(f)/x**S(3))/S(18) + b**S(2)*f**(a + b/x**S(3))*x**S(3)*log(f)**S(2)/S(18) + b*f**(a + b/x**S(3))*x**S(6)*log(f)/S(18) + f**(a + b/x**S(3))*x**S(9)/S(9), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(5), x), x, -b**S(2)*f**a*log(f)**S(2)*Ei(b*log(f)/x**S(3))/S(6) + b*f**(a + b/x**S(3))*x**S(3)*log(f)/S(6) + f**(a + b/x**S(3))*x**S(6)/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(2), x), x, -b*f**a*log(f)*Ei(b*log(f)/x**S(3))/S(3) + f**(a + b/x**S(3))*x**S(3)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x, x), x, -f**a*Ei(b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(4), x), x, -f**(a + b/x**S(3))/(S(3)*b*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(7), x), x, -f**(a + b/x**S(3))/(S(3)*b*x**S(3)*log(f)) + f**(a + b/x**S(3))/(S(3)*b**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(10), x), x, -f**(a + b/x**S(3))/(S(3)*b*x**S(6)*log(f)) + S(2)*f**(a + b/x**S(3))/(S(3)*b**S(2)*x**S(3)*log(f)**S(2)) - S(2)*f**(a + b/x**S(3))/(S(3)*b**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(13), x), x, -f**(a + b/x**S(3))/(S(3)*b*x**S(9)*log(f)) + f**(a + b/x**S(3))/(b**S(2)*x**S(6)*log(f)**S(2)) - S(2)*f**(a + b/x**S(3))/(b**S(3)*x**S(3)*log(f)**S(3)) + S(2)*f**(a + b/x**S(3))/(b**S(4)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(16), x), x, -f**a*Gamma(S(5), -b*log(f)/x**S(3))/(S(3)*b**S(5)*log(f)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(19), x), x, f**a*Gamma(S(6), -b*log(f)/x**S(3))/(S(3)*b**S(6)*log(f)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(4), x), x, f**a*x**S(5)*(-b*log(f)/x**S(3))**(S(5)/3)*Gamma(S(-5)/3, -b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x**S(3), x), x, f**a*x**S(4)*(-b*log(f)/x**S(3))**(S(4)/3)*Gamma(S(-4)/3, -b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))*x, x), x, f**a*x**S(2)*(-b*log(f)/x**S(3))**(S(2)/3)*Gamma(S(-2)/3, -b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3)), x), x, f**a*x*(-b*log(f)/x**S(3))**(S(1)/3)*Gamma(S(-1)/3, -b*log(f)/x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(2), x), x, f**a*Gamma(S(1)/3, -b*log(f)/x**S(3))/(S(3)*x*(-b*log(f)/x**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(3), x), x, f**a*Gamma(S(2)/3, -b*log(f)/x**S(3))/(S(3)*x**S(2)*(-b*log(f)/x**S(3))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b/x**S(3))/x**S(5), x), x, f**a*Gamma(S(4)/3, -b*log(f)/x**S(3))/(S(3)*x**S(4)*(-b*log(f)/x**S(3))**(S(4)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**m, x), x, -f**a*x**(m + S(1))*(-b*x**n*log(f))**(-(m + S(1))/n)*Gamma((m + S(1))/n, -b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**S(3), x), x, -f**a*x**S(4)*(-b*x**n*log(f))**(-S(4)/n)*Gamma(S(4)/n, -b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**S(2), x), x, -f**a*x**S(3)*(-b*x**n*log(f))**(-S(3)/n)*Gamma(S(3)/n, -b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x, x), x, -f**a*x**S(2)*(-b*x**n*log(f))**(-S(2)/n)*Gamma(S(2)/n, -b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n), x), x, -f**a*x*(-b*x**n*log(f))**(-S(1)/n)*Gamma(S(1)/n, -b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)/x, x), x, f**a*Ei(b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)/x**S(2), x), x, -f**a*(-b*x**n*log(f))**(S(1)/n)*Gamma(-S(1)/n, -b*x**n*log(f))/(n*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)/x**S(3), x), x, -f**a*(-b*x**n*log(f))**(S(2)/n)*Gamma(-S(2)/n, -b*x**n*log(f))/(n*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)/x**S(4), x), x, -f**a*(-b*x**n*log(f))**(S(3)/n)*Gamma(-S(3)/n, -b*x**n*log(f))/(n*x**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(S(3)*n + S(-1)), x), x, f**(a + b*x**n)*x**(S(2)*n)/(b*n*log(f)) - S(2)*f**(a + b*x**n)*x**n/(b**S(2)*n*log(f)**S(2)) + S(2)*f**(a + b*x**n)/(b**S(3)*n*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(S(2)*n + S(-1)), x), x, f**(a + b*x**n)*x**n/(b*n*log(f)) - f**(a + b*x**n)/(b**S(2)*n*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(n + S(-1)), x), x, f**(a + b*x**n)/(b*n*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)/x, x), x, f**a*Ei(b*x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(-n + S(-1)), x), x, b*f**a*log(f)*Ei(b*x**n*log(f))/n - f**(a + b*x**n)*x**(-n)/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(-S(2)*n + S(-1)), x), x, b**S(2)*f**a*log(f)**S(2)*Ei(b*x**n*log(f))/(S(2)*n) - b*f**(a + b*x**n)*x**(-n)*log(f)/(S(2)*n) - f**(a + b*x**n)*x**(-S(2)*n)/(S(2)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(S(5)*n/S(2) + S(-1)), x), x, f**(a + b*x**n)*x**(S(3)*n/S(2))/(b*n*log(f)) - S(3)*f**(a + b*x**n)*x**(n/S(2))/(S(2)*b**S(2)*n*log(f)**S(2)) + S(3)*sqrt(pi)*f**a*erfi(sqrt(b)*x**(n/S(2))*sqrt(log(f)))/(S(4)*b**(S(5)/2)*n*log(f)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(S(3)*n/S(2) + S(-1)), x), x, f**(a + b*x**n)*x**(n/S(2))/(b*n*log(f)) - sqrt(pi)*f**a*erfi(sqrt(b)*x**(n/S(2))*sqrt(log(f)))/(S(2)*b**(S(3)/2)*n*log(f)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(n/S(2) + S(-1)), x), x, sqrt(pi)*f**a*erfi(sqrt(b)*x**(n/S(2))*sqrt(log(f)))/(sqrt(b)*n*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(-n/S(2) + S(-1)), x), x, S(2)*sqrt(pi)*sqrt(b)*f**a*sqrt(log(f))*erfi(sqrt(b)*x**(n/S(2))*sqrt(log(f)))/n - S(2)*f**(a + b*x**n)*x**(-n/S(2))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x**n)*x**(-S(3)*n/S(2) + S(-1)), x), x, S(4)*sqrt(pi)*b**(S(3)/2)*f**a*log(f)**(S(3)/2)*erfi(sqrt(b)*x**(n/S(2))*sqrt(log(f)))/(S(3)*n) - S(4)*b*f**(a + b*x**n)*x**(-n/S(2))*log(f)/(S(3)*n) - S(2)*f**(a + b*x**n)*x**(-S(3)*n/S(2))/(S(3)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(-0.1*x), x), x, -10.0*x*exp(-0.1*x) - 100.0*exp(-0.1*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))*x**m, x), x, Integral(f**(a**S(2)*c + S(2)*a*b*c*x + b**S(2)*c*x**S(2))*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))*x**S(3), x), x, -sqrt(pi)*a**S(3)*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(2)*b**S(4)*sqrt(c)*sqrt(log(f))) + S(3)*a**S(2)*f**(c*(a + b*x)**S(2))/(S(2)*b**S(4)*c*log(f)) - S(3)*a*f**(c*(a + b*x)**S(2))*(a + b*x)/(S(2)*b**S(4)*c*log(f)) + S(3)*sqrt(pi)*a*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(4)*b**S(4)*c**(S(3)/2)*log(f)**(S(3)/2)) + f**(c*(a + b*x)**S(2))*(a + b*x)**S(2)/(S(2)*b**S(4)*c*log(f)) - f**(c*(a + b*x)**S(2))/(S(2)*b**S(4)*c**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))*x**S(2), x), x, sqrt(pi)*a**S(2)*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(2)*b**S(3)*sqrt(c)*sqrt(log(f))) - a*f**(c*(a + b*x)**S(2))/(b**S(3)*c*log(f)) + f**(c*(a + b*x)**S(2))*(a + b*x)/(S(2)*b**S(3)*c*log(f)) - sqrt(pi)*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(4)*b**S(3)*c**(S(3)/2)*log(f)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))*x, x), x, -sqrt(pi)*a*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(2)*b**S(2)*sqrt(c)*sqrt(log(f))) + f**(c*(a + b*x)**S(2))/(S(2)*b**S(2)*c*log(f)), expand=True, _diff=True, _numerical=True)
# long time in rubi_test(1940 is matched before 1909) assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2)), x), x, sqrt(pi)*erfi(sqrt(c)*(a + b*x)*sqrt(log(f)))/(S(2)*b*sqrt(c)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))/x, x), x, Integral(f**(c*(a + b*x)**S(2))/x, x), expand=True, _diff=True, _numerical=True)
# long time in rubi_test(1940 is matched before 1909) assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))/x**S(2), x), x, S(2)*a*b*c*log(f)*Integral(f**(c*(a + b*x)**S(2))/x, x) + sqrt(pi)*b*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*(a + b*x)*sqrt(log(f))) - f**(c*(a + b*x)**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(2))/x**S(3), x), x, S(2)*a**S(2)*b**S(2)*c**S(2)*log(f)**S(2)*Integral(f**(c*(a + b*x)**S(2))/x, x) + sqrt(pi)*a*b**S(2)*c**(S(3)/2)*log(f)**(S(3)/2)*erfi(sqrt(c)*(a + b*x)*sqrt(log(f))) - a*b*c*f**(c*(a + b*x)**S(2))*log(f)/x + b**S(2)*c*log(f)*Integral(f**(c*(a + b*x)**S(2))/x, x) - f**(c*(a + b*x)**S(2))/(S(2)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))*x**m, x), x, Integral(f**(c*(a + b*x)**S(3))*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))*x**S(2), x), x, -a**S(2)*(a + b*x)*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))/(S(3)*b**S(3)*(-c*(a + b*x)**S(3)*log(f))**(S(1)/3)) + S(2)*a*(a + b*x)**S(2)*Gamma(S(2)/3, -c*(a + b*x)**S(3)*log(f))/(S(3)*b**S(3)*(-c*(a + b*x)**S(3)*log(f))**(S(2)/3)) + f**(c*(a + b*x)**S(3))/(S(3)*b**S(3)*c*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))*x, x), x, a*(a + b*x)*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))/(S(3)*b**S(2)*(-c*(a + b*x)**S(3)*log(f))**(S(1)/3)) - (a + b*x)**S(2)*Gamma(S(2)/3, -c*(a + b*x)**S(3)*log(f))/(S(3)*b**S(2)*(-c*(a + b*x)**S(3)*log(f))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3)), x), x, (-a/S(3) - b*x/S(3))*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))/(b*(-c*(a + b*x)**S(3)*log(f))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))/x, x), x, Integral(f**(c*(a + b*x)**S(3))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))/x**S(2), x), x, S(3)*a**S(2)*b*c*log(f)*Integral(f**(c*(a + b*x)**S(3))/x, x) - a*b*c*(a + b*x)*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))*log(f)/(-c*(a + b*x)**S(3)*log(f))**(S(1)/3) - b*c*(a + b*x)**S(2)*Gamma(S(2)/3, -c*(a + b*x)**S(3)*log(f))*log(f)/(-c*(a + b*x)**S(3)*log(f))**(S(2)/3) - f**(c*(a + b*x)**S(3))/x, expand=True, _diff=True, _numerical=True)
# difference in simplify of sympy and mathematica assert rubi_test(rubi_integrate(f**(c*(a + b*x)**S(3))/x**S(3), x), x, S(9)*a**S(4)*b**S(2)*c**S(2)*log(f)**S(2)*Integral(f**(c*(a + b*x)**S(3))/x, x)/S(2) - S(3)*a**S(3)*b**S(2)*c**S(2)*(a + b*x)*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))*log(f)**S(2)/(S(2)*(-c*(a + b*x)**S(3)*log(f))**(S(1)/3)) - S(3)*a**S(2)*b**S(2)*c**S(2)*(a + b*x)**S(2)*Gamma(S(2)/3, -c*(a + b*x)**S(3)*log(f))*log(f)**S(2)/(S(2)*(-c*(a + b*x)**S(3)*log(f))**(S(2)/3)) - S(3)*a**S(2)*b*c*f**(c*(a + b*x)**S(3))*log(f)/(S(2)*x) + S(3)*a*b**S(2)*c*log(f)*Integral(f**(c*(a + b*x)**S(3))/x, x) - b**S(2)*c*(a + b*x)*Gamma(S(1)/3, -c*(a + b*x)**S(3)*log(f))*log(f)/(S(2)*(-c*(a + b*x)**S(3)*log(f))**(S(1)/3)) - f**(c*(a + b*x)**S(3))/(S(2)*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**m*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, Integral(x**m*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(4)*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, -a**S(4)*(a + b*x)*Gamma(S(1)/3, -(a + b*x)**S(3))/(S(3)*b**S(5)*(-(a + b*x)**S(3))**(S(1)/3)) + S(4)*a**S(3)*(a + b*x)**S(2)*Gamma(S(2)/3, -(a + b*x)**S(3))/(S(3)*b**S(5)*(-(a + b*x)**S(3))**(S(2)/3)) + S(2)*a**S(2)*exp((a + b*x)**S(3))/b**S(5) + S(4)*a*(a + b*x)**S(4)*Gamma(S(4)/3, -(a + b*x)**S(3))/(S(3)*b**S(5)*(-(a + b*x)**S(3))**(S(4)/3)) - (a + b*x)**S(5)*Gamma(S(5)/3, -(a + b*x)**S(3))/(S(3)*b**S(5)*(-(a + b*x)**S(3))**(S(5)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, a**S(3)*(a + b*x)*Gamma(S(1)/3, -(a + b*x)**S(3))/(S(3)*b**S(4)*(-(a + b*x)**S(3))**(S(1)/3)) - a**S(2)*(a + b*x)**S(2)*Gamma(S(2)/3, -(a + b*x)**S(3))/(b**S(4)*(-(a + b*x)**S(3))**(S(2)/3)) - a*exp((a + b*x)**S(3))/b**S(4) - (a + b*x)**S(4)*Gamma(S(4)/3, -(a + b*x)**S(3))/(S(3)*b**S(4)*(-(a + b*x)**S(3))**(S(4)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, -a**S(2)*(a + b*x)*Gamma(S(1)/3, -(a + b*x)**S(3))/(S(3)*b**S(3)*(-(a + b*x)**S(3))**(S(1)/3)) + S(2)*a*(a + b*x)**S(2)*Gamma(S(2)/3, -(a + b*x)**S(3))/(S(3)*b**S(3)*(-(a + b*x)**S(3))**(S(2)/3)) + exp((a + b*x)**S(3))/(S(3)*b**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, a*(a + b*x)*Gamma(S(1)/3, -(a + b*x)**S(3))/(S(3)*b**S(2)*(-(a + b*x)**S(3))**(S(1)/3)) - (a + b*x)**S(2)*Gamma(S(2)/3, -(a + b*x)**S(3))/(S(3)*b**S(2)*(-(a + b*x)**S(3))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3)), x), x, (-a/S(3) - b*x/S(3))*Gamma(S(1)/3, -(a + b*x)**S(3))/(b*(-(a + b*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3))/x, x), x, Integral(exp(a**S(3) + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*x**S(2) + b**S(3)*x**S(3))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(sqrt(S(3)*x + S(5))), x), x, S(2)*sqrt(S(3)*x + S(5))*exp(sqrt(S(3)*x + S(5)))/S(3) - S(2)*exp(sqrt(S(3)*x + S(5)))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))*x**m, x), x, Integral(f**(c/(a + b*x))*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))*x**S(4), x), x, -a**S(4)*c*log(f)*Ei(c*log(f)/(a + b*x))/b**S(5) + a**S(4)*f**(c/(a + b*x))*(a + b*x)/b**S(5) + S(2)*a**S(3)*c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x))/b**S(5) - S(2)*a**S(3)*c*f**(c/(a + b*x))*(a + b*x)*log(f)/b**S(5) - S(2)*a**S(3)*f**(c/(a + b*x))*(a + b*x)**S(2)/b**S(5) - a**S(2)*c**S(3)*log(f)**S(3)*Ei(c*log(f)/(a + b*x))/b**S(5) + a**S(2)*c**S(2)*f**(c/(a + b*x))*(a + b*x)*log(f)**S(2)/b**S(5) + a**S(2)*c*f**(c/(a + b*x))*(a + b*x)**S(2)*log(f)/b**S(5) + S(2)*a**S(2)*f**(c/(a + b*x))*(a + b*x)**S(3)/b**S(5) - S(4)*a*c**S(4)*Gamma(S(-4), -c*log(f)/(a + b*x))*log(f)**S(4)/b**S(5) - c**S(5)*Gamma(S(-5), -c*log(f)/(a + b*x))*log(f)**S(5)/b**S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))*x**S(3), x), x, a**S(3)*c*log(f)*Ei(c*log(f)/(a + b*x))/b**S(4) - a**S(3)*f**(c/(a + b*x))*(a + b*x)/b**S(4) - S(3)*a**S(2)*c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x))/(S(2)*b**S(4)) + S(3)*a**S(2)*c*f**(c/(a + b*x))*(a + b*x)*log(f)/(S(2)*b**S(4)) + S(3)*a**S(2)*f**(c/(a + b*x))*(a + b*x)**S(2)/(S(2)*b**S(4)) + a*c**S(3)*log(f)**S(3)*Ei(c*log(f)/(a + b*x))/(S(2)*b**S(4)) - a*c**S(2)*f**(c/(a + b*x))*(a + b*x)*log(f)**S(2)/(S(2)*b**S(4)) - a*c*f**(c/(a + b*x))*(a + b*x)**S(2)*log(f)/(S(2)*b**S(4)) - a*f**(c/(a + b*x))*(a + b*x)**S(3)/b**S(4) + c**S(4)*Gamma(S(-4), -c*log(f)/(a + b*x))*log(f)**S(4)/b**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))*x**S(2), x), x, -a**S(2)*c*log(f)*Ei(c*log(f)/(a + b*x))/b**S(3) + a**S(2)*f**(c/(a + b*x))*(a + b*x)/b**S(3) + a*c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x))/b**S(3) - a*c*f**(c/(a + b*x))*(a + b*x)*log(f)/b**S(3) - a*f**(c/(a + b*x))*(a + b*x)**S(2)/b**S(3) - c**S(3)*log(f)**S(3)*Ei(c*log(f)/(a + b*x))/(S(6)*b**S(3)) + c**S(2)*f**(c/(a + b*x))*(a + b*x)*log(f)**S(2)/(S(6)*b**S(3)) + c*f**(c/(a + b*x))*(a + b*x)**S(2)*log(f)/(S(6)*b**S(3)) + f**(c/(a + b*x))*(a + b*x)**S(3)/(S(3)*b**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))*x, x), x, a*c*log(f)*Ei(c*log(f)/(a + b*x))/b**S(2) - a*f**(c/(a + b*x))*(a + b*x)/b**S(2) - c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x))/(S(2)*b**S(2)) + c*f**(c/(a + b*x))*(a + b*x)*log(f)/(S(2)*b**S(2)) + f**(c/(a + b*x))*(a + b*x)**S(2)/(S(2)*b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)), x), x, -c*log(f)*Ei(c*log(f)/(a + b*x))/b + f**(c/(a + b*x))*(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))/x, x), x, f**(c/a)*Ei(-b*c*x*log(f)/(a*(a + b*x))) - Ei(c*log(f)/(a + b*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))/x**S(2), x), x, -f**(c/(a + b*x))/x - b*f**(c/(a + b*x))/a - b*c*f**(c/a)*log(f)*Ei(-b*c*x*log(f)/(a*(a + b*x)))/a**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x))/x**S(3), x), x, -f**(c/(a + b*x))/(S(2)*x**S(2)) + b**S(2)*f**(c/(a + b*x))/(S(2)*a**S(2)) + b*c*f**(c/(a + b*x))*log(f)/(S(2)*a**S(2)*x) + b**S(2)*c*f**(c/a)*log(f)*Ei(-b*c*x*log(f)/(a*(a + b*x)))/a**S(3) + b**S(2)*c*f**(c/(a + b*x))*log(f)/(S(2)*a**S(3)) + b**S(2)*c**S(2)*f**(c/a)*log(f)**S(2)*Ei(-b*c*x*log(f)/(a*(a + b*x)))/(S(2)*a**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))*x**m, x), x, Integral(f**(c/(a + b*x)**S(2))*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))*x**S(4), x), x, -sqrt(pi)*a**S(4)*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(5) + a**S(4)*f**(c/(a + b*x)**S(2))*(a + b*x)/b**S(5) + S(2)*a**S(3)*c*log(f)*Ei(c*log(f)/(a + b*x)**S(2))/b**S(5) - S(2)*a**S(3)*f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)/b**S(5) - S(4)*sqrt(pi)*a**S(2)*c**(S(3)/2)*log(f)**(S(3)/2)*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(5) + S(4)*a**S(2)*c*f**(c/(a + b*x)**S(2))*(a + b*x)*log(f)/b**S(5) + S(2)*a**S(2)*f**(c/(a + b*x)**S(2))*(a + b*x)**S(3)/b**S(5) + a*c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x)**S(2))/b**S(5) - a*c*f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)*log(f)/b**S(5) - a*f**(c/(a + b*x)**S(2))*(a + b*x)**S(4)/b**S(5) - S(4)*sqrt(pi)*c**(S(5)/2)*log(f)**(S(5)/2)*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/(S(15)*b**S(5)) + S(4)*c**S(2)*f**(c/(a + b*x)**S(2))*(a + b*x)*log(f)**S(2)/(S(15)*b**S(5)) + S(2)*c*f**(c/(a + b*x)**S(2))*(a + b*x)**S(3)*log(f)/(S(15)*b**S(5)) + f**(c/(a + b*x)**S(2))*(a + b*x)**S(5)/(S(5)*b**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))*x**S(3), x), x, sqrt(pi)*a**S(3)*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(4) - a**S(3)*f**(c/(a + b*x)**S(2))*(a + b*x)/b**S(4) - S(3)*a**S(2)*c*log(f)*Ei(c*log(f)/(a + b*x)**S(2))/(S(2)*b**S(4)) + S(3)*a**S(2)*f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)/(S(2)*b**S(4)) + S(2)*sqrt(pi)*a*c**(S(3)/2)*log(f)**(S(3)/2)*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(4) - S(2)*a*c*f**(c/(a + b*x)**S(2))*(a + b*x)*log(f)/b**S(4) - a*f**(c/(a + b*x)**S(2))*(a + b*x)**S(3)/b**S(4) - c**S(2)*log(f)**S(2)*Ei(c*log(f)/(a + b*x)**S(2))/(S(4)*b**S(4)) + c*f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)*log(f)/(S(4)*b**S(4)) + f**(c/(a + b*x)**S(2))*(a + b*x)**S(4)/(S(4)*b**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))*x**S(2), x), x, -sqrt(pi)*a**S(2)*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(3) + a**S(2)*f**(c/(a + b*x)**S(2))*(a + b*x)/b**S(3) + a*c*log(f)*Ei(c*log(f)/(a + b*x)**S(2))/b**S(3) - a*f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)/b**S(3) - S(2)*sqrt(pi)*c**(S(3)/2)*log(f)**(S(3)/2)*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/(S(3)*b**S(3)) + S(2)*c*f**(c/(a + b*x)**S(2))*(a + b*x)*log(f)/(S(3)*b**S(3)) + f**(c/(a + b*x)**S(2))*(a + b*x)**S(3)/(S(3)*b**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))*x, x), x, sqrt(pi)*a*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b**S(2) - a*f**(c/(a + b*x)**S(2))*(a + b*x)/b**S(2) - c*log(f)*Ei(c*log(f)/(a + b*x)**S(2))/(S(2)*b**S(2)) + f**(c/(a + b*x)**S(2))*(a + b*x)**S(2)/(S(2)*b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2)), x), x, -sqrt(pi)*sqrt(c)*sqrt(log(f))*erfi(sqrt(c)*sqrt(log(f))/(a + b*x))/b + f**(c/(a + b*x)**S(2))*(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))/x, x), x, Integral(f**(c/(a + b*x)**S(2))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))/x**S(2), x), x, Integral(f**(c/(a + b*x)**S(2))/x**S(2), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(2))/x**S(3), x), x, Integral(f**(c/(a + b*x)**S(2))/x**S(3), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))*x**m, x), x, Integral(f**(c/(a + b*x)**S(3))*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))*x**S(4), x), x, a**S(4)*(-c*log(f)/(a + b*x)**S(3))**(S(1)/3)*(a + b*x)*Gamma(S(-1)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(5)) - S(4)*a**S(3)*(-c*log(f)/(a + b*x)**S(3))**(S(2)/3)*(a + b*x)**S(2)*Gamma(S(-2)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(5)) - S(2)*a**S(2)*c*log(f)*Ei(c*log(f)/(a + b*x)**S(3))/b**S(5) + S(2)*a**S(2)*f**(c/(a + b*x)**S(3))*(a + b*x)**S(3)/b**S(5) - S(4)*a*(-c*log(f)/(a + b*x)**S(3))**(S(4)/3)*(a + b*x)**S(4)*Gamma(S(-4)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(5)) + (-c*log(f)/(a + b*x)**S(3))**(S(5)/3)*(a + b*x)**S(5)*Gamma(S(-5)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))*x**S(3), x), x, -a**S(3)*(-c*log(f)/(a + b*x)**S(3))**(S(1)/3)*(a + b*x)*Gamma(S(-1)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(4)) + a**S(2)*(-c*log(f)/(a + b*x)**S(3))**(S(2)/3)*(a + b*x)**S(2)*Gamma(S(-2)/3, -c*log(f)/(a + b*x)**S(3))/b**S(4) + a*c*log(f)*Ei(c*log(f)/(a + b*x)**S(3))/b**S(4) - a*f**(c/(a + b*x)**S(3))*(a + b*x)**S(3)/b**S(4) + (-c*log(f)/(a + b*x)**S(3))**(S(4)/3)*(a + b*x)**S(4)*Gamma(S(-4)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))*x**S(2), x), x, a**S(2)*(-c*log(f)/(a + b*x)**S(3))**(S(1)/3)*(a + b*x)*Gamma(S(-1)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(3)) - S(2)*a*(-c*log(f)/(a + b*x)**S(3))**(S(2)/3)*(a + b*x)**S(2)*Gamma(S(-2)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(3)) - c*log(f)*Ei(c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(3)) + f**(c/(a + b*x)**S(3))*(a + b*x)**S(3)/(S(3)*b**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))*x, x), x, -a*(-c*log(f)/(a + b*x)**S(3))**(S(1)/3)*(a + b*x)*Gamma(S(-1)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(2)) + (-c*log(f)/(a + b*x)**S(3))**(S(2)/3)*(a + b*x)**S(2)*Gamma(S(-2)/3, -c*log(f)/(a + b*x)**S(3))/(S(3)*b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3)), x), x, (-c*log(f)/(a + b*x)**S(3))**(S(1)/3)*(a/S(3) + b*x/S(3))*Gamma(S(-1)/3, -c*log(f)/(a + b*x)**S(3))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))/x, x), x, Integral(f**(c/(a + b*x)**S(3))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))/x**S(2), x), x, Integral(f**(c/(a + b*x)**S(3))/x**S(2), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c/(a + b*x)**S(3))/x**S(3), x), x, Integral(f**(c/(a + b*x)**S(3))/x**S(3), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)*x**m, x), x, Integral(f**(c*(a + b*x)**n)*x**m, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)*x**S(3), x), x, a**S(3)*(-c*(a + b*x)**n*log(f))**(-S(1)/n)*(a + b*x)*Gamma(S(1)/n, -c*(a + b*x)**n*log(f))/(b**S(4)*n) - S(3)*a**S(2)*(-c*(a + b*x)**n*log(f))**(-S(2)/n)*(a + b*x)**S(2)*Gamma(S(2)/n, -c*(a + b*x)**n*log(f))/(b**S(4)*n) + S(3)*a*(-c*(a + b*x)**n*log(f))**(-S(3)/n)*(a + b*x)**S(3)*Gamma(S(3)/n, -c*(a + b*x)**n*log(f))/(b**S(4)*n) - (-c*(a + b*x)**n*log(f))**(-S(4)/n)*(a + b*x)**S(4)*Gamma(S(4)/n, -c*(a + b*x)**n*log(f))/(b**S(4)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)*x**S(2), x), x, -a**S(2)*(-c*(a + b*x)**n*log(f))**(-S(1)/n)*(a + b*x)*Gamma(S(1)/n, -c*(a + b*x)**n*log(f))/(b**S(3)*n) + S(2)*a*(-c*(a + b*x)**n*log(f))**(-S(2)/n)*(a + b*x)**S(2)*Gamma(S(2)/n, -c*(a + b*x)**n*log(f))/(b**S(3)*n) - (-c*(a + b*x)**n*log(f))**(-S(3)/n)*(a + b*x)**S(3)*Gamma(S(3)/n, -c*(a + b*x)**n*log(f))/(b**S(3)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)*x, x), x, a*(-c*(a + b*x)**n*log(f))**(-S(1)/n)*(a + b*x)*Gamma(S(1)/n, -c*(a + b*x)**n*log(f))/(b**S(2)*n) - (-c*(a + b*x)**n*log(f))**(-S(2)/n)*(a + b*x)**S(2)*Gamma(S(2)/n, -c*(a + b*x)**n*log(f))/(b**S(2)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n), x), x, (-c*(a + b*x)**n*log(f))**(-S(1)/n)*(-a - b*x)*Gamma(S(1)/n, -c*(a + b*x)**n*log(f))/(b*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)/x, x), x, Integral(f**(c*(a + b*x)**n)/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)/x**S(2), x), x, Integral(f**(c*(a + b*x)**n)/x**S(2), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(c*(a + b*x)**n)/x**S(3), x), x, Integral(f**(c*(a + b*x)**n)/x**S(3), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**m, x), x, -F**a*(-b*(c + d*x)**S(2)*log(F))**(-m/S(2) + S(-1)/2)*(c + d*x)**(m + S(1))*Gamma(m/S(2) + S(1)/2, -b*(c + d*x)**S(2)*log(F))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(11), x), x, -F**a*Gamma(S(6), -b*(c + d*x)**S(2)*log(F))/(S(2)*b**S(6)*d*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(9), x), x, F**a*Gamma(S(5), -b*(c + d*x)**S(2)*log(F))/(S(2)*b**S(5)*d*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(7), x), x, F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(6)/(S(2)*b*d*log(F)) - S(3)*F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(4)/(S(2)*b**S(2)*d*log(F)**S(2)) + S(3)*F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(2)/(b**S(3)*d*log(F)**S(3)) - S(3)*F**(a + b*(c + d*x)**S(2))/(b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(5), x), x, F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(4)/(S(2)*b*d*log(F)) - F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(2)/(b**S(2)*d*log(F)**S(2)) + F**(a + b*(c + d*x)**S(2))/(b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(3), x), x, F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(2)/(S(2)*b*d*log(F)) - F**(a + b*(c + d*x)**S(2))/(S(2)*b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x), x), x, F**(a + b*(c + d*x)**S(2))/(S(2)*b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x), x), x, F**a*Ei(b*(c + d*x)**S(2)*log(F))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(3), x), x, F**a*b*log(F)*Ei(b*(c + d*x)**S(2)*log(F))/(S(2)*d) - F**(a + b*(c + d*x)**S(2))/(S(2)*d*(c + d*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(5), x), x, F**a*b**S(2)*log(F)**S(2)*Ei(b*(c + d*x)**S(2)*log(F))/(S(4)*d) - F**(a + b*(c + d*x)**S(2))*b*log(F)/(S(4)*d*(c + d*x)**S(2)) - F**(a + b*(c + d*x)**S(2))/(S(4)*d*(c + d*x)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(7), x), x, F**a*b**S(3)*log(F)**S(3)*Ei(b*(c + d*x)**S(2)*log(F))/(S(12)*d) - F**(a + b*(c + d*x)**S(2))*b**S(2)*log(F)**S(2)/(S(12)*d*(c + d*x)**S(2)) - F**(a + b*(c + d*x)**S(2))*b*log(F)/(S(12)*d*(c + d*x)**S(4)) - F**(a + b*(c + d*x)**S(2))/(S(6)*d*(c + d*x)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(9), x), x, -F**a*b**S(4)*Gamma(S(-4), -b*(c + d*x)**S(2)*log(F))*log(F)**S(4)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(11), x), x, F**a*b**S(5)*Gamma(S(-5), -b*(c + d*x)**S(2)*log(F))*log(F)**S(5)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(12), x), x, -F**a*(c + d*x)**S(13)*Gamma(S(13)/2, -b*(c + d*x)**S(2)*log(F))/(S(2)*d*(-b*(c + d*x)**S(2)*log(F))**(S(13)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(10), x), x, -F**a*(c + d*x)**S(11)*Gamma(S(11)/2, -b*(c + d*x)**S(2)*log(F))/(S(2)*d*(-b*(c + d*x)**S(2)*log(F))**(S(11)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(8), x), x, S(105)*sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(32)*b**(S(9)/2)*d*log(F)**(S(9)/2)) + F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(7)/(S(2)*b*d*log(F)) - S(7)*F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(5)/(S(4)*b**S(2)*d*log(F)**S(2)) + S(35)*F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(3)/(S(8)*b**S(3)*d*log(F)**S(3)) - S(105)*F**(a + b*(c + d*x)**S(2))*(c + d*x)/(S(16)*b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(6), x), x, -S(15)*sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(16)*b**(S(7)/2)*d*log(F)**(S(7)/2)) + F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(5)/(S(2)*b*d*log(F)) - S(5)*F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(3)/(S(4)*b**S(2)*d*log(F)**S(2)) + S(15)*F**(a + b*(c + d*x)**S(2))*(c + d*x)/(S(8)*b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(4), x), x, S(3)*sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(8)*b**(S(5)/2)*d*log(F)**(S(5)/2)) + F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(3)/(S(2)*b*d*log(F)) - S(3)*F**(a + b*(c + d*x)**S(2))*(c + d*x)/(S(4)*b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(c + d*x)**S(2), x), x, -sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(4)*b**(S(3)/2)*d*log(F)**(S(3)/2)) + F**(a + b*(c + d*x)**S(2))*(c + d*x)/(S(2)*b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2)), x), x, sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(2), x), x, sqrt(pi)*F**a*sqrt(b)*sqrt(log(F))*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/d - F**(a + b*(c + d*x)**S(2))/(d*(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(4), x), x, S(2)*sqrt(pi)*F**a*b**(S(3)/2)*log(F)**(S(3)/2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(3)*d) - S(2)*F**(a + b*(c + d*x)**S(2))*b*log(F)/(S(3)*d*(c + d*x)) - F**(a + b*(c + d*x)**S(2))/(S(3)*d*(c + d*x)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(6), x), x, S(4)*sqrt(pi)*F**a*b**(S(5)/2)*log(F)**(S(5)/2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(15)*d) - S(4)*F**(a + b*(c + d*x)**S(2))*b**S(2)*log(F)**S(2)/(S(15)*d*(c + d*x)) - S(2)*F**(a + b*(c + d*x)**S(2))*b*log(F)/(S(15)*d*(c + d*x)**S(3)) - F**(a + b*(c + d*x)**S(2))/(S(5)*d*(c + d*x)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(8), x), x, S(8)*sqrt(pi)*F**a*b**(S(7)/2)*log(F)**(S(7)/2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(105)*d) - S(8)*F**(a + b*(c + d*x)**S(2))*b**S(3)*log(F)**S(3)/(S(105)*d*(c + d*x)) - S(4)*F**(a + b*(c + d*x)**S(2))*b**S(2)*log(F)**S(2)/(S(105)*d*(c + d*x)**S(3)) - S(2)*F**(a + b*(c + d*x)**S(2))*b*log(F)/(S(35)*d*(c + d*x)**S(5)) - F**(a + b*(c + d*x)**S(2))/(S(7)*d*(c + d*x)**S(7)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(10), x), x, -F**a*(-b*(c + d*x)**S(2)*log(F))**(S(9)/2)*Gamma(S(-9)/2, -b*(c + d*x)**S(2)*log(F))/(S(2)*d*(c + d*x)**S(9)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(c + d*x)**S(12), x), x, -F**a*(-b*(c + d*x)**S(2)*log(F))**(S(11)/2)*Gamma(S(-11)/2, -b*(c + d*x)**S(2)*log(F))/(S(2)*d*(c + d*x)**S(11)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**m, x), x, -F**a*(-b*(c + d*x)**S(3)*log(F))**(-m/S(3) + S(-1)/3)*(c + d*x)**(m + S(1))*Gamma(m/S(3) + S(1)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(17), x), x, -F**a*Gamma(S(6), -b*(c + d*x)**S(3)*log(F))/(S(3)*b**S(6)*d*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(14), x), x, F**a*Gamma(S(5), -b*(c + d*x)**S(3)*log(F))/(S(3)*b**S(5)*d*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(11), x), x, F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(9)/(S(3)*b*d*log(F)) - F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(6)/(b**S(2)*d*log(F)**S(2)) + S(2)*F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(3)/(b**S(3)*d*log(F)**S(3)) - S(2)*F**(a + b*(c + d*x)**S(3))/(b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(8), x), x, F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(6)/(S(3)*b*d*log(F)) - S(2)*F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(3)/(S(3)*b**S(2)*d*log(F)**S(2)) + S(2)*F**(a + b*(c + d*x)**S(3))/(S(3)*b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(5), x), x, F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(3)/(S(3)*b*d*log(F)) - F**(a + b*(c + d*x)**S(3))/(S(3)*b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(2), x), x, F**(a + b*(c + d*x)**S(3))/(S(3)*b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x), x), x, F**a*Ei(b*(c + d*x)**S(3)*log(F))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(4), x), x, F**a*b*log(F)*Ei(b*(c + d*x)**S(3)*log(F))/(S(3)*d) - F**(a + b*(c + d*x)**S(3))/(S(3)*d*(c + d*x)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(7), x), x, F**a*b**S(2)*log(F)**S(2)*Ei(b*(c + d*x)**S(3)*log(F))/(S(6)*d) - F**(a + b*(c + d*x)**S(3))*b*log(F)/(S(6)*d*(c + d*x)**S(3)) - F**(a + b*(c + d*x)**S(3))/(S(6)*d*(c + d*x)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(10), x), x, F**a*b**S(3)*log(F)**S(3)*Ei(b*(c + d*x)**S(3)*log(F))/(S(18)*d) - F**(a + b*(c + d*x)**S(3))*b**S(2)*log(F)**S(2)/(S(18)*d*(c + d*x)**S(3)) - F**(a + b*(c + d*x)**S(3))*b*log(F)/(S(18)*d*(c + d*x)**S(6)) - F**(a + b*(c + d*x)**S(3))/(S(9)*d*(c + d*x)**S(9)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(13), x), x, -F**a*b**S(4)*Gamma(S(-4), -b*(c + d*x)**S(3)*log(F))*log(F)**S(4)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(16), x), x, F**a*b**S(5)*Gamma(S(-5), -b*(c + d*x)**S(3)*log(F))*log(F)**S(5)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x)**S(3), x), x, -F**a*(c + d*x)**S(4)*Gamma(S(4)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(-b*(c + d*x)**S(3)*log(F))**(S(4)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))*(c + d*x), x), x, -F**a*(c + d*x)**S(2)*Gamma(S(2)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(-b*(c + d*x)**S(3)*log(F))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3)), x), x, -F**a*(c + d*x)*Gamma(S(1)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(-b*(c + d*x)**S(3)*log(F))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(2), x), x, -F**a*(-b*(c + d*x)**S(3)*log(F))**(S(1)/3)*Gamma(S(-1)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(3), x), x, -F**a*(-b*(c + d*x)**S(3)*log(F))**(S(2)/3)*Gamma(S(-2)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(c + d*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(3))/(c + d*x)**S(5), x), x, -F**a*(-b*(c + d*x)**S(3)*log(F))**(S(4)/3)*Gamma(S(-4)/3, -b*(c + d*x)**S(3)*log(F))/(S(3)*d*(c + d*x)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*sqrt(c + d*x)), x), x, S(2)*f**(a + b*sqrt(c + d*x))*sqrt(c + d*x)/(b*d*log(f)) - S(2)*f**(a + b*sqrt(c + d*x))/(b**S(2)*d*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*(c + d*x)**(S(1)/3)), x), x, S(3)*f**(a + b*(c + d*x)**(S(1)/3))*(c + d*x)**(S(2)/3)/(b*d*log(f)) - S(6)*f**(a + b*(c + d*x)**(S(1)/3))*(c + d*x)**(S(1)/3)/(b**S(2)*d*log(f)**S(2)) + S(6)*f**(a + b*(c + d*x)**(S(1)/3))/(b**S(3)*d*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))*(c + d*x)**m, x), x, F**a*(-b*log(F)/(c + d*x))**(m + S(1))*(c + d*x)**(m + S(1))*Gamma(-m + S(-1), -b*log(F)/(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))*(c + d*x)**S(4), x), x, -F**a*b**S(5)*Gamma(S(-5), -b*log(F)/(c + d*x))*log(F)**S(5)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))*(c + d*x)**S(3), x), x, F**a*b**S(4)*Gamma(S(-4), -b*log(F)/(c + d*x))*log(F)**S(4)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))*(c + d*x)**S(2), x), x, -F**a*b**S(3)*log(F)**S(3)*Ei(b*log(F)/(c + d*x))/(S(6)*d) + F**(a + b/(c + d*x))*b**S(2)*(c + d*x)*log(F)**S(2)/(S(6)*d) + F**(a + b/(c + d*x))*b*(c + d*x)**S(2)*log(F)/(S(6)*d) + F**(a + b/(c + d*x))*(c + d*x)**S(3)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))*(c + d*x), x), x, -F**a*b**S(2)*log(F)**S(2)*Ei(b*log(F)/(c + d*x))/(S(2)*d) + F**(a + b/(c + d*x))*b*(c + d*x)*log(F)/(S(2)*d) + F**(a + b/(c + d*x))*(c + d*x)**S(2)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)), x), x, -F**a*b*log(F)*Ei(b*log(F)/(c + d*x))/d + F**(a + b/(c + d*x))*(c + d*x)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x), x), x, -F**a*Ei(b*log(F)/(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(2), x), x, -F**(a + b/(c + d*x))/(b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(3), x), x, -F**(a + b/(c + d*x))/(b*d*(c + d*x)*log(F)) + F**(a + b/(c + d*x))/(b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(4), x), x, -F**(a + b/(c + d*x))/(b*d*(c + d*x)**S(2)*log(F)) + S(2)*F**(a + b/(c + d*x))/(b**S(2)*d*(c + d*x)*log(F)**S(2)) - S(2)*F**(a + b/(c + d*x))/(b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(5), x), x, -F**(a + b/(c + d*x))/(b*d*(c + d*x)**S(3)*log(F)) + S(3)*F**(a + b/(c + d*x))/(b**S(2)*d*(c + d*x)**S(2)*log(F)**S(2)) - S(6)*F**(a + b/(c + d*x))/(b**S(3)*d*(c + d*x)*log(F)**S(3)) + S(6)*F**(a + b/(c + d*x))/(b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(6), x), x, -F**a*Gamma(S(5), -b*log(F)/(c + d*x))/(b**S(5)*d*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(c + d*x)**S(7), x), x, F**a*Gamma(S(6), -b*log(F)/(c + d*x))/(b**S(6)*d*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**m, x), x, F**a*(-b*log(F)/(c + d*x)**S(2))**(m/S(2) + S(1)/2)*(c + d*x)**(m + S(1))*Gamma(-m/S(2) + S(-1)/2, -b*log(F)/(c + d*x)**S(2))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(9), x), x, -F**a*b**S(5)*Gamma(S(-5), -b*log(F)/(c + d*x)**S(2))*log(F)**S(5)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(7), x), x, F**a*b**S(4)*Gamma(S(-4), -b*log(F)/(c + d*x)**S(2))*log(F)**S(4)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(5), x), x, -F**a*b**S(3)*log(F)**S(3)*Ei(b*log(F)/(c + d*x)**S(2))/(S(12)*d) + F**(a + b/(c + d*x)**S(2))*b**S(2)*(c + d*x)**S(2)*log(F)**S(2)/(S(12)*d) + F**(a + b/(c + d*x)**S(2))*b*(c + d*x)**S(4)*log(F)/(S(12)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(6)/(S(6)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(3), x), x, -F**a*b**S(2)*log(F)**S(2)*Ei(b*log(F)/(c + d*x)**S(2))/(S(4)*d) + F**(a + b/(c + d*x)**S(2))*b*(c + d*x)**S(2)*log(F)/(S(4)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(4)/(S(4)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x), x), x, -F**a*b*log(F)*Ei(b*log(F)/(c + d*x)**S(2))/(S(2)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(2)/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x), x), x, -F**a*Ei(b*log(F)/(c + d*x)**S(2))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(3), x), x, -F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(5), x), x, -F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(2)*log(F)) + F**(a + b/(c + d*x)**S(2))/(S(2)*b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(7), x), x, -F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(4)*log(F)) + F**(a + b/(c + d*x)**S(2))/(b**S(2)*d*(c + d*x)**S(2)*log(F)**S(2)) - F**(a + b/(c + d*x)**S(2))/(b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(9), x), x, -F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(6)*log(F)) + S(3)*F**(a + b/(c + d*x)**S(2))/(S(2)*b**S(2)*d*(c + d*x)**S(4)*log(F)**S(2)) - S(3)*F**(a + b/(c + d*x)**S(2))/(b**S(3)*d*(c + d*x)**S(2)*log(F)**S(3)) + S(3)*F**(a + b/(c + d*x)**S(2))/(b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(11), x), x, -F**a*Gamma(S(5), -b*log(F)/(c + d*x)**S(2))/(S(2)*b**S(5)*d*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(13), x), x, F**a*Gamma(S(6), -b*log(F)/(c + d*x)**S(2))/(S(2)*b**S(6)*d*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(10), x), x, F**a*(-b*log(F)/(c + d*x)**S(2))**(S(11)/2)*(c + d*x)**S(11)*Gamma(S(-11)/2, -b*log(F)/(c + d*x)**S(2))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(8), x), x, F**a*(-b*log(F)/(c + d*x)**S(2))**(S(9)/2)*(c + d*x)**S(9)*Gamma(S(-9)/2, -b*log(F)/(c + d*x)**S(2))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(6), x), x, -S(8)*sqrt(pi)*F**a*b**(S(7)/2)*log(F)**(S(7)/2)*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(105)*d) + S(8)*F**(a + b/(c + d*x)**S(2))*b**S(3)*(c + d*x)*log(F)**S(3)/(S(105)*d) + S(4)*F**(a + b/(c + d*x)**S(2))*b**S(2)*(c + d*x)**S(3)*log(F)**S(2)/(S(105)*d) + S(2)*F**(a + b/(c + d*x)**S(2))*b*(c + d*x)**S(5)*log(F)/(S(35)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(7)/(S(7)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(4), x), x, -S(4)*sqrt(pi)*F**a*b**(S(5)/2)*log(F)**(S(5)/2)*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(15)*d) + S(4)*F**(a + b/(c + d*x)**S(2))*b**S(2)*(c + d*x)*log(F)**S(2)/(S(15)*d) + S(2)*F**(a + b/(c + d*x)**S(2))*b*(c + d*x)**S(3)*log(F)/(S(15)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(5)/(S(5)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(2), x), x, -S(2)*sqrt(pi)*F**a*b**(S(3)/2)*log(F)**(S(3)/2)*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(3)*d) + S(2)*F**(a + b/(c + d*x)**S(2))*b*(c + d*x)*log(F)/(S(3)*d) + F**(a + b/(c + d*x)**S(2))*(c + d*x)**S(3)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2)), x), x, -sqrt(pi)*F**a*sqrt(b)*sqrt(log(F))*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/d + F**(a + b/(c + d*x)**S(2))*(c + d*x)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(2), x), x, -sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(2)*sqrt(b)*d*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(4), x), x, sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(4)*b**(S(3)/2)*d*log(F)**(S(3)/2)) - F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(6), x), x, -S(3)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(8)*b**(S(5)/2)*d*log(F)**(S(5)/2)) - F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(3)*log(F)) + S(3)*F**(a + b/(c + d*x)**S(2))/(S(4)*b**S(2)*d*(c + d*x)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(8), x), x, S(15)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(16)*b**(S(7)/2)*d*log(F)**(S(7)/2)) - F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(5)*log(F)) + S(5)*F**(a + b/(c + d*x)**S(2))/(S(4)*b**S(2)*d*(c + d*x)**S(3)*log(F)**S(2)) - S(15)*F**(a + b/(c + d*x)**S(2))/(S(8)*b**S(3)*d*(c + d*x)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(10), x), x, -S(105)*sqrt(pi)*F**a*erfi(sqrt(b)*sqrt(log(F))/(c + d*x))/(S(32)*b**(S(9)/2)*d*log(F)**(S(9)/2)) - F**(a + b/(c + d*x)**S(2))/(S(2)*b*d*(c + d*x)**S(7)*log(F)) + S(7)*F**(a + b/(c + d*x)**S(2))/(S(4)*b**S(2)*d*(c + d*x)**S(5)*log(F)**S(2)) - S(35)*F**(a + b/(c + d*x)**S(2))/(S(8)*b**S(3)*d*(c + d*x)**S(3)*log(F)**S(3)) + S(105)*F**(a + b/(c + d*x)**S(2))/(S(16)*b**S(4)*d*(c + d*x)*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(12), x), x, F**a*Gamma(S(11)/2, -b*log(F)/(c + d*x)**S(2))/(S(2)*d*(-b*log(F)/(c + d*x)**S(2))**(S(11)/2)*(c + d*x)**S(11)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(2))/(c + d*x)**S(14), x), x, F**a*Gamma(S(13)/2, -b*log(F)/(c + d*x)**S(2))/(S(2)*d*(-b*log(F)/(c + d*x)**S(2))**(S(13)/2)*(c + d*x)**S(13)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**m, x), x, F**a*(-b*log(F)/(c + d*x)**S(3))**(m/S(3) + S(1)/3)*(c + d*x)**(m + S(1))*Gamma(-m/S(3) + S(-1)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(14), x), x, -F**a*b**S(5)*Gamma(S(-5), -b*log(F)/(c + d*x)**S(3))*log(F)**S(5)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(11), x), x, F**a*b**S(4)*Gamma(S(-4), -b*log(F)/(c + d*x)**S(3))*log(F)**S(4)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(8), x), x, -F**a*b**S(3)*log(F)**S(3)*Ei(b*log(F)/(c + d*x)**S(3))/(S(18)*d) + F**(a + b/(c + d*x)**S(3))*b**S(2)*(c + d*x)**S(3)*log(F)**S(2)/(S(18)*d) + F**(a + b/(c + d*x)**S(3))*b*(c + d*x)**S(6)*log(F)/(S(18)*d) + F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(9)/(S(9)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(5), x), x, -F**a*b**S(2)*log(F)**S(2)*Ei(b*log(F)/(c + d*x)**S(3))/(S(6)*d) + F**(a + b/(c + d*x)**S(3))*b*(c + d*x)**S(3)*log(F)/(S(6)*d) + F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(6)/(S(6)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(2), x), x, -F**a*b*log(F)*Ei(b*log(F)/(c + d*x)**S(3))/(S(3)*d) + F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(3)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x), x), x, -F**a*Ei(b*log(F)/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(4), x), x, -F**(a + b/(c + d*x)**S(3))/(S(3)*b*d*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(7), x), x, -F**(a + b/(c + d*x)**S(3))/(S(3)*b*d*(c + d*x)**S(3)*log(F)) + F**(a + b/(c + d*x)**S(3))/(S(3)*b**S(2)*d*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(10), x), x, -F**(a + b/(c + d*x)**S(3))/(S(3)*b*d*(c + d*x)**S(6)*log(F)) + S(2)*F**(a + b/(c + d*x)**S(3))/(S(3)*b**S(2)*d*(c + d*x)**S(3)*log(F)**S(2)) - S(2)*F**(a + b/(c + d*x)**S(3))/(S(3)*b**S(3)*d*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(13), x), x, -F**(a + b/(c + d*x)**S(3))/(S(3)*b*d*(c + d*x)**S(9)*log(F)) + F**(a + b/(c + d*x)**S(3))/(b**S(2)*d*(c + d*x)**S(6)*log(F)**S(2)) - S(2)*F**(a + b/(c + d*x)**S(3))/(b**S(3)*d*(c + d*x)**S(3)*log(F)**S(3)) + S(2)*F**(a + b/(c + d*x)**S(3))/(b**S(4)*d*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(16), x), x, -F**a*Gamma(S(5), -b*log(F)/(c + d*x)**S(3))/(S(3)*b**S(5)*d*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(19), x), x, F**a*Gamma(S(6), -b*log(F)/(c + d*x)**S(3))/(S(3)*b**S(6)*d*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x)**S(3), x), x, F**a*(-b*log(F)/(c + d*x)**S(3))**(S(4)/3)*(c + d*x)**S(4)*Gamma(S(-4)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))*(c + d*x), x), x, F**a*(-b*log(F)/(c + d*x)**S(3))**(S(2)/3)*(c + d*x)**S(2)*Gamma(S(-2)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3)), x), x, F**a*(-b*log(F)/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)*Gamma(S(-1)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(2), x), x, F**a*Gamma(S(1)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d*(-b*log(F)/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(3), x), x, F**a*Gamma(S(2)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d*(-b*log(F)/(c + d*x)**S(3))**(S(2)/3)*(c + d*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x)**S(3))/(c + d*x)**S(5), x), x, F**a*Gamma(S(4)/3, -b*log(F)/(c + d*x)**S(3))/(S(3)*d*(-b*log(F)/(c + d*x)**S(3))**(S(4)/3)*(c + d*x)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**m, x), x, -F**a*(-b*(c + d*x)**n*log(F))**(-(m + S(1))/n)*(c + d*x)**(m + S(1))*Gamma((m + S(1))/n, -b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**S(3), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(-S(4)/n)*(c + d*x)**S(4)*Gamma(S(4)/n, -b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**S(2), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(-S(3)/n)*(c + d*x)**S(3)*Gamma(S(3)/n, -b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(-S(2)/n)*(c + d*x)**S(2)*Gamma(S(2)/n, -b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(-S(1)/n)*(c + d*x)*Gamma(S(1)/n, -b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)/(c + d*x), x), x, F**a*Ei(b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)/(c + d*x)**S(2), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(S(1)/n)*Gamma(-S(1)/n, -b*(c + d*x)**n*log(F))/(d*n*(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)/(c + d*x)**S(3), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(S(2)/n)*Gamma(-S(2)/n, -b*(c + d*x)**n*log(F))/(d*n*(c + d*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)/(c + d*x)**S(4), x), x, -F**a*(-b*(c + d*x)**n*log(F))**(S(3)/n)*Gamma(-S(3)/n, -b*(c + d*x)**n*log(F))/(d*n*(c + d*x)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(S(6)*n + S(-1)), x), x, -F**a*Gamma(S(6), -b*(c + d*x)**n*log(F))/(b**S(6)*d*n*log(F)**S(6)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(S(5)*n + S(-1)), x), x, F**a*Gamma(S(5), -b*(c + d*x)**n*log(F))/(b**S(5)*d*n*log(F)**S(5)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(S(4)*n + S(-1)), x), x, F**(a + b*(c + d*x)**n)*(c + d*x)**(S(3)*n)/(b*d*n*log(F)) - S(3)*F**(a + b*(c + d*x)**n)*(c + d*x)**(S(2)*n)/(b**S(2)*d*n*log(F)**S(2)) + S(6)*F**(a + b*(c + d*x)**n)*(c + d*x)**n/(b**S(3)*d*n*log(F)**S(3)) - S(6)*F**(a + b*(c + d*x)**n)/(b**S(4)*d*n*log(F)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(S(3)*n + S(-1)), x), x, F**(a + b*(c + d*x)**n)*(c + d*x)**(S(2)*n)/(b*d*n*log(F)) - S(2)*F**(a + b*(c + d*x)**n)*(c + d*x)**n/(b**S(2)*d*n*log(F)**S(2)) + S(2)*F**(a + b*(c + d*x)**n)/(b**S(3)*d*n*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(S(2)*n + S(-1)), x), x, F**(a + b*(c + d*x)**n)*(c + d*x)**n/(b*d*n*log(F)) - F**(a + b*(c + d*x)**n)/(b**S(2)*d*n*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(n + S(-1)), x), x, F**(a + b*(c + d*x)**n)/(b*d*n*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)/(c + d*x), x), x, F**a*Ei(b*(c + d*x)**n*log(F))/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(-n + S(-1)), x), x, F**a*b*log(F)*Ei(b*(c + d*x)**n*log(F))/(d*n) - F**(a + b*(c + d*x)**n)*(c + d*x)**(-n)/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(2)*n + S(-1)), x), x, F**a*b**S(2)*log(F)**S(2)*Ei(b*(c + d*x)**n*log(F))/(S(2)*d*n) - F**(a + b*(c + d*x)**n)*b*(c + d*x)**(-n)*log(F)/(S(2)*d*n) - F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(2)*n)/(S(2)*d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(3)*n + S(-1)), x), x, F**a*b**S(3)*log(F)**S(3)*Ei(b*(c + d*x)**n*log(F))/(S(6)*d*n) - F**(a + b*(c + d*x)**n)*b**S(2)*(c + d*x)**(-n)*log(F)**S(2)/(S(6)*d*n) - F**(a + b*(c + d*x)**n)*b*(c + d*x)**(-S(2)*n)*log(F)/(S(6)*d*n) - F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(3)*n)/(S(3)*d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(4)*n + S(-1)), x), x, -F**a*b**S(4)*Gamma(S(-4), -b*(c + d*x)**n*log(F))*log(F)**S(4)/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**n)*(c + d*x)**(-S(5)*n + S(-1)), x), x, F**a*b**S(5)*Gamma(S(-5), -b*(c + d*x)**n*log(F))*log(F)**S(5)/(d*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(c*(a + b*x)**n)*(a + b*x)**(n/S(2) + S(-1)), x), x, sqrt(pi)*erfi(sqrt(c)*(a + b*x)**(n/S(2))*sqrt(log(F)))/(b*sqrt(c)*n*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(-c*(a + b*x)**n)*(a + b*x)**(n/S(2) + S(-1)), x), x, sqrt(pi)*erf(sqrt(c)*(a + b*x)**(n/S(2))*sqrt(log(F)))/(b*sqrt(c)*n*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(e + f*x)**S(5), x), x, sqrt(pi)*F**a*(-c*f + d*e)**S(5)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d**S(6)*sqrt(log(F))) - S(5)*sqrt(pi)*F**a*f**S(2)*(-c*f + d*e)**S(3)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*b**(S(3)/2)*d**S(6)*log(F)**(S(3)/2)) + S(15)*sqrt(pi)*F**a*f**S(4)*(-c*f + d*e)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(8)*b**(S(5)/2)*d**S(6)*log(F)**(S(5)/2)) + F**(a + b*(c + d*x)**S(2))*f**S(5)*(c + d*x)**S(4)/(S(2)*b*d**S(6)*log(F)) + S(5)*F**(a + b*(c + d*x)**S(2))*f**S(4)*(c + d*x)**S(3)*(-c*f + d*e)/(S(2)*b*d**S(6)*log(F)) + S(5)*F**(a + b*(c + d*x)**S(2))*f**S(3)*(c + d*x)**S(2)*(-c*f + d*e)**S(2)/(b*d**S(6)*log(F)) + S(5)*F**(a + b*(c + d*x)**S(2))*f**S(2)*(c + d*x)*(-c*f + d*e)**S(3)/(b*d**S(6)*log(F)) + S(5)*F**(a + b*(c + d*x)**S(2))*f*(-c*f + d*e)**S(4)/(S(2)*b*d**S(6)*log(F)) - F**(a + b*(c + d*x)**S(2))*f**S(5)*(c + d*x)**S(2)/(b**S(2)*d**S(6)*log(F)**S(2)) - S(15)*F**(a + b*(c + d*x)**S(2))*f**S(4)*(c + d*x)*(-c*f + d*e)/(S(4)*b**S(2)*d**S(6)*log(F)**S(2)) - S(5)*F**(a + b*(c + d*x)**S(2))*f**S(3)*(-c*f + d*e)**S(2)/(b**S(2)*d**S(6)*log(F)**S(2)) + F**(a + b*(c + d*x)**S(2))*f**S(5)/(b**S(3)*d**S(6)*log(F)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(e + f*x)**S(4), x), x, sqrt(pi)*F**a*(-c*f + d*e)**S(4)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d**S(5)*sqrt(log(F))) - S(3)*sqrt(pi)*F**a*f**S(2)*(-c*f + d*e)**S(2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*b**(S(3)/2)*d**S(5)*log(F)**(S(3)/2)) + S(3)*sqrt(pi)*F**a*f**S(4)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(8)*b**(S(5)/2)*d**S(5)*log(F)**(S(5)/2)) + F**(a + b*(c + d*x)**S(2))*f**S(4)*(c + d*x)**S(3)/(S(2)*b*d**S(5)*log(F)) + S(2)*F**(a + b*(c + d*x)**S(2))*f**S(3)*(c + d*x)**S(2)*(-c*f + d*e)/(b*d**S(5)*log(F)) + S(3)*F**(a + b*(c + d*x)**S(2))*f**S(2)*(c + d*x)*(-c*f + d*e)**S(2)/(b*d**S(5)*log(F)) + S(2)*F**(a + b*(c + d*x)**S(2))*f*(-c*f + d*e)**S(3)/(b*d**S(5)*log(F)) - S(3)*F**(a + b*(c + d*x)**S(2))*f**S(4)*(c + d*x)/(S(4)*b**S(2)*d**S(5)*log(F)**S(2)) - S(2)*F**(a + b*(c + d*x)**S(2))*f**S(3)*(-c*f + d*e)/(b**S(2)*d**S(5)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(e + f*x)**S(3), x), x, sqrt(pi)*F**a*(-c*f + d*e)**S(3)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d**S(4)*sqrt(log(F))) - S(3)*sqrt(pi)*F**a*f**S(2)*(-c*f + d*e)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(4)*b**(S(3)/2)*d**S(4)*log(F)**(S(3)/2)) + F**(a + b*(c + d*x)**S(2))*f**S(3)*(c + d*x)**S(2)/(S(2)*b*d**S(4)*log(F)) + S(3)*F**(a + b*(c + d*x)**S(2))*f**S(2)*(c + d*x)*(-c*f + d*e)/(S(2)*b*d**S(4)*log(F)) + S(3)*F**(a + b*(c + d*x)**S(2))*f*(-c*f + d*e)**S(2)/(S(2)*b*d**S(4)*log(F)) - F**(a + b*(c + d*x)**S(2))*f**S(3)/(S(2)*b**S(2)*d**S(4)*log(F)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(e + f*x)**S(2), x), x, sqrt(pi)*F**a*(-c*f + d*e)**S(2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d**S(3)*sqrt(log(F))) - sqrt(pi)*F**a*f**S(2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(4)*b**(S(3)/2)*d**S(3)*log(F)**(S(3)/2)) + F**(a + b*(c + d*x)**S(2))*f**S(2)*(c + d*x)/(S(2)*b*d**S(3)*log(F)) + F**(a + b*(c + d*x)**S(2))*f*(-c*f + d*e)/(b*d**S(3)*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))*(e + f*x), x), x, sqrt(pi)*F**a*(-c*f/S(2) + d*e/S(2))*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(sqrt(b)*d**S(2)*sqrt(log(F))) + F**(a + b*(c + d*x)**S(2))*f/(S(2)*b*d**S(2)*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2)), x), x, sqrt(pi)*F**a*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/(S(2)*sqrt(b)*d*sqrt(log(F))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(e + f*x), x), x, Integral(F**(a + b*(c + d*x)**S(2))/(e + f*x), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(e + f*x)**S(2), x), x, sqrt(pi)*F**a*sqrt(b)*d*sqrt(log(F))*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/f**S(2) - F**(a + b*(c + d*x)**S(2))/(f*(e + f*x)) - S(2)*b*d*(-c*f + d*e)*log(F)*Integral(F**(a + b*(c + d*x)**S(2))/(e + f*x), x)/f**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*(c + d*x)**S(2))/(e + f*x)**S(3), x), x, -sqrt(pi)*F**a*b**(S(3)/2)*d**S(2)*(-c*f + d*e)*log(F)**(S(3)/2)*erfi(sqrt(b)*(c + d*x)*sqrt(log(F)))/f**S(4) + F**(a + b*(c + d*x)**S(2))*b*d*(-c*f + d*e)*log(F)/(f**S(3)*(e + f*x)) - F**(a + b*(c + d*x)**S(2))/(S(2)*f*(e + f*x)**S(2)) + S(2)*b**S(2)*d**S(2)*(-c*f + d*e)**S(2)*log(F)**S(2)*Integral(F**(a + b*(c + d*x)**S(2))/(e + f*x), x)/f**S(4) + b*d**S(2)*log(F)*Integral(F**(a + b*(c + d*x)**S(2))/(e + f*x), x)/f**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(e*(c + d*x)**S(3)), x), x, -b**S(3)*(c + d*x)**S(4)*Gamma(S(4)/3, -e*(c + d*x)**S(3))/(S(3)*d**S(4)*(-e*(c + d*x)**S(3))**(S(4)/3)) - b**S(2)*(-a*d + b*c)*exp(e*(c + d*x)**S(3))/(d**S(4)*e) - b*(c + d*x)**S(2)*(-a*d + b*c)**S(2)*Gamma(S(2)/3, -e*(c + d*x)**S(3))/(d**S(4)*(-e*(c + d*x)**S(3))**(S(2)/3)) + (c + d*x)*(-a*d + b*c)**S(3)*Gamma(S(1)/3, -e*(c + d*x)**S(3))/(S(3)*d**S(4)*(-e*(c + d*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(2)*exp(e*(c + d*x)**S(3)), x), x, b**S(2)*exp(e*(c + d*x)**S(3))/(S(3)*d**S(3)*e) + S(2)*b*(c + d*x)**S(2)*(-a*d + b*c)*Gamma(S(2)/3, -e*(c + d*x)**S(3))/(S(3)*d**S(3)*(-e*(c + d*x)**S(3))**(S(2)/3)) - (c + d*x)*(-a*d + b*c)**S(2)*Gamma(S(1)/3, -e*(c + d*x)**S(3))/(S(3)*d**S(3)*(-e*(c + d*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)*exp(e*(c + d*x)**S(3)), x), x, -b*(c + d*x)**S(2)*Gamma(S(2)/3, -e*(c + d*x)**S(3))/(S(3)*d**S(2)*(-e*(c + d*x)**S(3))**(S(2)/3)) + (c + d*x)*(-a*d/S(3) + b*c/S(3))*Gamma(S(1)/3, -e*(c + d*x)**S(3))/(d**S(2)*(-e*(c + d*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e*(c + d*x)**S(3)), x), x, (-c/S(3) - d*x/S(3))*Gamma(S(1)/3, -e*(c + d*x)**S(3))/(d*(-e*(c + d*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e*(c + d*x)**S(3))/(a + b*x), x), x, Integral(exp(e*(c + d*x)**S(3))/(a + b*x), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e*(c + d*x)**S(3))/(a + b*x)**S(2), x), x, -exp(e*(c + d*x)**S(3))/(b*(a + b*x)) - d*e*(c + d*x)**S(2)*Gamma(S(2)/3, -e*(c + d*x)**S(3))/(b**S(2)*(-e*(c + d*x)**S(3))**(S(2)/3)) + S(3)*d*e*(-a*d + b*c)**S(2)*Integral(exp(e*(c + d*x)**S(3))/(a + b*x), x)/b**S(3) - d*e*(c + d*x)*(-a*d + b*c)*Gamma(S(1)/3, -e*(c + d*x)**S(3))/(b**S(3)*(-e*(c + d*x)**S(3))**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(e + f*x), x), x, -F**a*Ei(b*log(F)/(c + d*x))/f + F**(a - b*f/(-c*f + d*e))*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/f, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(e + f*x)**S(2), x), x, F**(a + b/(c + d*x))*d/(f*(-c*f + d*e)) - F**(a + b/(c + d*x))/(f*(e + f*x)) - F**(a - b*f/(-c*f + d*e))*b*d*log(F)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(-c*f + d*e)**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(e + f*x)**S(3), x), x, -F**(a + b/(c + d*x))*b*d**S(2)*log(F)/(S(2)*(-c*f + d*e)**S(3)) + F**(a + b/(c + d*x))*b*d*log(F)/(S(2)*(e + f*x)*(-c*f + d*e)**S(2)) + F**(a + b/(c + d*x))*d**S(2)/(S(2)*f*(-c*f + d*e)**S(2)) - F**(a + b/(c + d*x))/(S(2)*f*(e + f*x)**S(2)) + F**(a - b*f/(-c*f + d*e))*b**S(2)*d**S(2)*f*log(F)**S(2)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(S(2)*(-c*f + d*e)**S(4)) - F**(a - b*f/(-c*f + d*e))*b*d**S(2)*log(F)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(-c*f + d*e)**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b/(c + d*x))/(e + f*x)**S(4), x), x, F**(a + b/(c + d*x))*b**S(2)*d**S(3)*f*log(F)**S(2)/(S(6)*(-c*f + d*e)**S(5)) - F**(a + b/(c + d*x))*b**S(2)*d**S(2)*f*log(F)**S(2)/(S(6)*(e + f*x)*(-c*f + d*e)**S(4)) - S(5)*F**(a + b/(c + d*x))*b*d**S(3)*log(F)/(S(6)*(-c*f + d*e)**S(4)) + S(2)*F**(a + b/(c + d*x))*b*d**S(2)*log(F)/(S(3)*(e + f*x)*(-c*f + d*e)**S(3)) + F**(a + b/(c + d*x))*b*d*log(F)/(S(6)*(e + f*x)**S(2)*(-c*f + d*e)**S(2)) + F**(a + b/(c + d*x))*d**S(3)/(S(3)*f*(-c*f + d*e)**S(3)) - F**(a + b/(c + d*x))/(S(3)*f*(e + f*x)**S(3)) - F**(a - b*f/(-c*f + d*e))*b**S(3)*d**S(3)*f**S(2)*log(F)**S(3)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(S(6)*(-c*f + d*e)**S(6)) + F**(a - b*f/(-c*f + d*e))*b**S(2)*d**S(3)*f*log(F)**S(2)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(-c*f + d*e)**S(5) - F**(a - b*f/(-c*f + d*e))*b*d**S(3)*log(F)*Ei(b*d*(e + f*x)*log(F)/((c + d*x)*(-c*f + d*e)))/(-c*f + d*e)**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(4)*exp(e/(c + d*x)), x), x, -b**S(4)*e**S(5)*Gamma(S(-5), -e/(c + d*x))/d**S(5) - S(4)*b**S(3)*e**S(4)*(-a*d + b*c)*Gamma(S(-4), -e/(c + d*x))/d**S(5) - b**S(2)*e**S(3)*(-a*d + b*c)**S(2)*Ei(e/(c + d*x))/d**S(5) + b**S(2)*e**S(2)*(c + d*x)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/d**S(5) + b**S(2)*e*(c + d*x)**S(2)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/d**S(5) + S(2)*b**S(2)*(c + d*x)**S(3)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/d**S(5) + S(2)*b*e**S(2)*(-a*d + b*c)**S(3)*Ei(e/(c + d*x))/d**S(5) - S(2)*b*e*(c + d*x)*(-a*d + b*c)**S(3)*exp(e/(c + d*x))/d**S(5) - S(2)*b*(c + d*x)**S(2)*(-a*d + b*c)**S(3)*exp(e/(c + d*x))/d**S(5) - e*(-a*d + b*c)**S(4)*Ei(e/(c + d*x))/d**S(5) + (c + d*x)*(-a*d + b*c)**S(4)*exp(e/(c + d*x))/d**S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(e/(c + d*x)), x), x, b**S(3)*e**S(4)*Gamma(S(-4), -e/(c + d*x))/d**S(4) + b**S(2)*e**S(3)*(-a*d + b*c)*Ei(e/(c + d*x))/(S(2)*d**S(4)) - b**S(2)*e**S(2)*(c + d*x)*(-a*d + b*c)*exp(e/(c + d*x))/(S(2)*d**S(4)) - b**S(2)*e*(c + d*x)**S(2)*(-a*d + b*c)*exp(e/(c + d*x))/(S(2)*d**S(4)) - b**S(2)*(c + d*x)**S(3)*(-a*d + b*c)*exp(e/(c + d*x))/d**S(4) - S(3)*b*e**S(2)*(-a*d + b*c)**S(2)*Ei(e/(c + d*x))/(S(2)*d**S(4)) + S(3)*b*e*(c + d*x)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/(S(2)*d**S(4)) + S(3)*b*(c + d*x)**S(2)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/(S(2)*d**S(4)) + e*(-a*d + b*c)**S(3)*Ei(e/(c + d*x))/d**S(4) - (c + d*x)*(-a*d + b*c)**S(3)*exp(e/(c + d*x))/d**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(2)*exp(e/(c + d*x)), x), x, -b**S(2)*e**S(3)*Ei(e/(c + d*x))/(S(6)*d**S(3)) + b**S(2)*e**S(2)*(c + d*x)*exp(e/(c + d*x))/(S(6)*d**S(3)) + b**S(2)*e*(c + d*x)**S(2)*exp(e/(c + d*x))/(S(6)*d**S(3)) + b**S(2)*(c + d*x)**S(3)*exp(e/(c + d*x))/(S(3)*d**S(3)) + b*e**S(2)*(-a*d + b*c)*Ei(e/(c + d*x))/d**S(3) - b*e*(c + d*x)*(-a*d + b*c)*exp(e/(c + d*x))/d**S(3) - b*(c + d*x)**S(2)*(-a*d + b*c)*exp(e/(c + d*x))/d**S(3) - e*(-a*d + b*c)**S(2)*Ei(e/(c + d*x))/d**S(3) + (c + d*x)*(-a*d + b*c)**S(2)*exp(e/(c + d*x))/d**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)*exp(e/(c + d*x)), x), x, -b*e**S(2)*Ei(e/(c + d*x))/(S(2)*d**S(2)) + b*e*(c + d*x)*exp(e/(c + d*x))/(S(2)*d**S(2)) + b*(c + d*x)**S(2)*exp(e/(c + d*x))/(S(2)*d**S(2)) + e*(-a*d + b*c)*Ei(e/(c + d*x))/d**S(2) + (c + d*x)*(a*d - b*c)*exp(e/(c + d*x))/d**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)), x), x, -e*Ei(e/(c + d*x))/d + (c + d*x)*exp(e/(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x))/(a + b*x), x), x, exp(b*e/(-a*d + b*c))*Ei(-d*e*(a + b*x)/((c + d*x)*(-a*d + b*c)))/b - Ei(e/(c + d*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x))/(a + b*x)**S(2), x), x, -d*e*exp(b*e/(-a*d + b*c))*Ei(-d*e*(a + b*x)/((c + d*x)*(-a*d + b*c)))/(-a*d + b*c)**S(2) - d*exp(e/(c + d*x))/(b*(-a*d + b*c)) - exp(e/(c + d*x))/(b*(a + b*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x))/(a + b*x)**S(3), x), x, b*d**S(2)*e**S(2)*exp(b*e/(-a*d + b*c))*Ei(-d*e*(a + b*x)/((c + d*x)*(-a*d + b*c)))/(S(2)*(-a*d + b*c)**S(4)) + d**S(2)*e*exp(e/(c + d*x))/(S(2)*(-a*d + b*c)**S(3)) + d**S(2)*e*exp(b*e/(-a*d + b*c))*Ei(-d*e*(a + b*x)/((c + d*x)*(-a*d + b*c)))/(-a*d + b*c)**S(3) + d*e*exp(e/(c + d*x))/(S(2)*(a + b*x)*(-a*d + b*c)**S(2)) + d**S(2)*exp(e/(c + d*x))/(S(2)*b*(-a*d + b*c)**S(2)) - exp(e/(c + d*x))/(S(2)*b*(a + b*x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(e/(c + d*x)**S(2)), x), x, -b**S(3)*e**S(2)*Ei(e/(c + d*x)**S(2))/(S(4)*d**S(4)) + b**S(3)*e*(c + d*x)**S(2)*exp(e/(c + d*x)**S(2))/(S(4)*d**S(4)) + b**S(3)*(c + d*x)**S(4)*exp(e/(c + d*x)**S(2))/(S(4)*d**S(4)) + S(2)*sqrt(pi)*b**S(2)*e**(S(3)/2)*(-a*d + b*c)*erfi(sqrt(e)/(c + d*x))/d**S(4) - S(2)*b**S(2)*e*(c + d*x)*(-a*d + b*c)*exp(e/(c + d*x)**S(2))/d**S(4) - b**S(2)*(c + d*x)**S(3)*(-a*d + b*c)*exp(e/(c + d*x)**S(2))/d**S(4) - S(3)*b*e*(-a*d + b*c)**S(2)*Ei(e/(c + d*x)**S(2))/(S(2)*d**S(4)) + S(3)*b*(c + d*x)**S(2)*(-a*d + b*c)**S(2)*exp(e/(c + d*x)**S(2))/(S(2)*d**S(4)) + sqrt(pi)*sqrt(e)*(-a*d + b*c)**S(3)*erfi(sqrt(e)/(c + d*x))/d**S(4) - (c + d*x)*(-a*d + b*c)**S(3)*exp(e/(c + d*x)**S(2))/d**S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(2)*exp(e/(c + d*x)**S(2)), x), x, -S(2)*sqrt(pi)*b**S(2)*e**(S(3)/2)*erfi(sqrt(e)/(c + d*x))/(S(3)*d**S(3)) + S(2)*b**S(2)*e*(c + d*x)*exp(e/(c + d*x)**S(2))/(S(3)*d**S(3)) + b**S(2)*(c + d*x)**S(3)*exp(e/(c + d*x)**S(2))/(S(3)*d**S(3)) + b*e*(-a*d + b*c)*Ei(e/(c + d*x)**S(2))/d**S(3) - b*(c + d*x)**S(2)*(-a*d + b*c)*exp(e/(c + d*x)**S(2))/d**S(3) - sqrt(pi)*sqrt(e)*(-a*d + b*c)**S(2)*erfi(sqrt(e)/(c + d*x))/d**S(3) + (c + d*x)*(-a*d + b*c)**S(2)*exp(e/(c + d*x)**S(2))/d**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)*exp(e/(c + d*x)**S(2)), x), x, -b*e*Ei(e/(c + d*x)**S(2))/(S(2)*d**S(2)) + b*(c + d*x)**S(2)*exp(e/(c + d*x)**S(2))/(S(2)*d**S(2)) + sqrt(pi)*sqrt(e)*(-a*d + b*c)*erfi(sqrt(e)/(c + d*x))/d**S(2) + (c + d*x)*(a*d - b*c)*exp(e/(c + d*x)**S(2))/d**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(2)), x), x, -sqrt(pi)*sqrt(e)*erfi(sqrt(e)/(c + d*x))/d + (c + d*x)*exp(e/(c + d*x)**S(2))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(2))/(a + b*x), x), x, Integral(exp(e/(c + d*x)**S(2))/(a + b*x), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(2))/(a + b*x)**S(2), x), x, Integral(exp(e/(c + d*x)**S(2))/(a + b*x)**S(2), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(2))/(a + b*x)**S(3), x), x, Integral(exp(e/(c + d*x)**S(2))/(a + b*x)**S(3), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(3)*exp(e/(c + d*x)**S(3)), x), x, b**S(3)*(-e/(c + d*x)**S(3))**(S(4)/3)*(c + d*x)**S(4)*Gamma(S(-4)/3, -e/(c + d*x)**S(3))/(S(3)*d**S(4)) + b**S(2)*e*(-a*d + b*c)*Ei(e/(c + d*x)**S(3))/d**S(4) - b**S(2)*(c + d*x)**S(3)*(-a*d + b*c)*exp(e/(c + d*x)**S(3))/d**S(4) + b*(-e/(c + d*x)**S(3))**(S(2)/3)*(c + d*x)**S(2)*(-a*d + b*c)**S(2)*Gamma(S(-2)/3, -e/(c + d*x)**S(3))/d**S(4) - (-e/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)*(-a*d + b*c)**S(3)*Gamma(S(-1)/3, -e/(c + d*x)**S(3))/(S(3)*d**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(2)*exp(e/(c + d*x)**S(3)), x), x, -b**S(2)*e*Ei(e/(c + d*x)**S(3))/(S(3)*d**S(3)) + b**S(2)*(c + d*x)**S(3)*exp(e/(c + d*x)**S(3))/(S(3)*d**S(3)) - S(2)*b*(-e/(c + d*x)**S(3))**(S(2)/3)*(c + d*x)**S(2)*(-a*d + b*c)*Gamma(S(-2)/3, -e/(c + d*x)**S(3))/(S(3)*d**S(3)) + (-e/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)*(-a*d + b*c)**S(2)*Gamma(S(-1)/3, -e/(c + d*x)**S(3))/(S(3)*d**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)*exp(e/(c + d*x)**S(3)), x), x, b*(-e/(c + d*x)**S(3))**(S(2)/3)*(c + d*x)**S(2)*Gamma(S(-2)/3, -e/(c + d*x)**S(3))/(S(3)*d**S(2)) - (-e/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)*(-a*d/S(3) + b*c/S(3))*Gamma(S(-1)/3, -e/(c + d*x)**S(3))/d**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(3)), x), x, (-e/(c + d*x)**S(3))**(S(1)/3)*(c + d*x)*Gamma(S(-1)/3, -e/(c + d*x)**S(3))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(3))/(a + b*x), x), x, Integral(exp(e/(c + d*x)**S(3))/(a + b*x), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(e/(c + d*x)**S(3))/(a + b*x)**S(2), x), x, Integral(exp(e/(c + d*x)**S(3))/(a + b*x)**S(2), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e + f*(a + b*x)/(c + d*x))/(g + h*x), x), x, F**(e + f*(-a*h + b*g)/(-c*h + d*g))*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/h - F**(b*f/d + e)*Ei(f*(a*d - b*c)*log(F)/(d*(c + d*x)))/h, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e + f*(a + b*x)/(c + d*x))/(g + h*x)**S(2), x), x, -F**(e + f*(a + b*x)/(c + d*x))/(h*(g + h*x)) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*f*(-a*d + b*c)*log(F)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(-c*h + d*g)**S(2) + F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d/(h*(-c*h + d*g)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e + f*(a + b*x)/(c + d*x))/(g + h*x)**S(3), x), x, -F**(e + f*(a + b*x)/(c + d*x))*f*(-a*d/S(2) + b*c/S(2))*log(F)/((g + h*x)*(-c*h + d*g)**S(2)) - F**(e + f*(a + b*x)/(c + d*x))/(S(2)*h*(g + h*x)**S(2)) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*d*f*(-a*d + b*c)*log(F)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(-c*h + d*g)**S(3) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*f**S(2)*h*(-a*d + b*c)**S(2)*log(F)**S(2)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(S(2)*(-c*h + d*g)**S(4)) + F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d**S(2)/(S(2)*h*(-c*h + d*g)**S(2)) + F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d*f*(-a*d + b*c)*log(F)/(S(2)*(-c*h + d*g)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e + f*(a + b*x)/(c + d*x))/(g + h*x)**S(4), x), x, -S(2)*F**(e + f*(a + b*x)/(c + d*x))*d*f*(-a*d + b*c)*log(F)/(S(3)*(g + h*x)*(-c*h + d*g)**S(3)) - F**(e + f*(a + b*x)/(c + d*x))*f**S(2)*h*(-a*d + b*c)**S(2)*log(F)**S(2)/(S(6)*(g + h*x)*(-c*h + d*g)**S(4)) - F**(e + f*(a + b*x)/(c + d*x))*f*(-a*d/S(6) + b*c/S(6))*log(F)/((g + h*x)**S(2)*(-c*h + d*g)**S(2)) - F**(e + f*(a + b*x)/(c + d*x))/(S(3)*h*(g + h*x)**S(3)) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*d**S(2)*f*(-a*d + b*c)*log(F)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(-c*h + d*g)**S(4) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*d*f**S(2)*h*(-a*d + b*c)**S(2)*log(F)**S(2)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(-c*h + d*g)**S(5) + F**(e + f*(-a*h + b*g)/(-c*h + d*g))*f**S(3)*h**S(2)*(-a*d + b*c)**S(3)*log(F)**S(3)*Ei(f*(g + h*x)*(a*d - b*c)*log(F)/((c + d*x)*(-c*h + d*g)))/(S(6)*(-c*h + d*g)**S(6)) + F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d**S(3)/(S(3)*h*(-c*h + d*g)**S(3)) + S(5)*F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d**S(2)*f*(-a*d + b*c)*log(F)/(S(6)*(-c*h + d*g)**S(4)) + F**(b*f/d + e - f*(-a*d + b*c)/(d*(c + d*x)))*d*f**S(2)*h*(-a*d + b*c)**S(2)*log(F)**S(2)/(S(6)*(-c*h + d*g)**S(5)), expand=True, _diff=True, _numerical=True)
# fails 1940 and 1939 recursion assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*x**S(3), x), x, -sqrt(pi)*b**S(3)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(16)*c**(S(7)/2)*sqrt(log(f))) + b**S(2)*f**(a + b*x + c*x**S(2))/(S(8)*c**S(3)*log(f)) - b*f**(a + b*x + c*x**S(2))*x/(S(4)*c**S(2)*log(f)) + S(3)*sqrt(pi)*b*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(8)*c**(S(5)/2)*log(f)**(S(3)/2)) + f**(a + b*x + c*x**S(2))*x**S(2)/(S(2)*c*log(f)) - f**(a + b*x + c*x**S(2))/(S(2)*c**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*x**S(2), x), x, sqrt(pi)*b**S(2)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(8)*c**(S(5)/2)*sqrt(log(f))) - b*f**(a + b*x + c*x**S(2))/(S(4)*c**S(2)*log(f)) + f**(a + b*x + c*x**S(2))*x/(S(2)*c*log(f)) - sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(4)*c**(S(3)/2)*log(f)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*x, x), x, -sqrt(pi)*b*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(4)*c**(S(3)/2)*sqrt(log(f))) + f**(a + b*x + c*x**S(2))/(S(2)*c*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2)), x), x, sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(2)*sqrt(c)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/x, x), x, Integral(f**(a + b*x + c*x**S(2))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/x**S(2), x), x, b*log(f)*Integral(f**(a + b*x + c*x**S(2))/x, x) + sqrt(pi)*sqrt(c)*f**(a - b**S(2)/(S(4)*c))*sqrt(log(f))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c)) - f**(a + b*x + c*x**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(a + b*x - c*x**S(2)), x), x, -sqrt(pi)*b**S(3)*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(16)*c**(S(7)/2)) - b**S(2)*exp(a + b*x - c*x**S(2))/(S(8)*c**S(3)) - b*x*exp(a + b*x - c*x**S(2))/(S(4)*c**S(2)) - S(3)*sqrt(pi)*b*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(8)*c**(S(5)/2)) - x**S(2)*exp(a + b*x - c*x**S(2))/(S(2)*c) - exp(a + b*x - c*x**S(2))/(S(2)*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(a + b*x - c*x**S(2)), x), x, -sqrt(pi)*b**S(2)*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(8)*c**(S(5)/2)) - b*exp(a + b*x - c*x**S(2))/(S(4)*c**S(2)) - x*exp(a + b*x - c*x**S(2))/(S(2)*c) - sqrt(pi)*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(4)*c**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(a + b*x - c*x**S(2)), x), x, -sqrt(pi)*b*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(4)*c**(S(3)/2)) - exp(a + b*x - c*x**S(2))/(S(2)*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x - c*x**S(2)), x), x, -sqrt(pi)*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c))/(S(2)*sqrt(c)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x - c*x**S(2))/x, x), x, Integral(exp(a + b*x - c*x**S(2))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x - c*x**S(2))/x**S(2), x), x, b*Integral(exp(a + b*x - c*x**S(2))/x, x) + sqrt(pi)*sqrt(c)*exp(a + b**S(2)/(S(4)*c))*erf((b/S(2) - c*x)/sqrt(c)) - exp(a + b*x - c*x**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp((a + b*x)*(c + d*x)), x), x, x**S(2)*exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(S(2)*b*d) - x*(a*d/S(4) + b*c/S(4))*exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(b**S(2)*d**S(2)) - exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(S(2)*b**S(2)*d**S(2)) + (a*d + b*c)**S(2)*exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(S(8)*b**S(3)*d**S(3)) + sqrt(pi)*(S(3)*a*d/S(8) + S(3)*b*c/S(8))*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(b**(S(5)/2)*d**(S(5)/2)) - sqrt(pi)*(a*d + b*c)**S(3)*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(S(16)*b**(S(7)/2)*d**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp((a + b*x)*(c + d*x)), x), x, x*exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(S(2)*b*d) + (-a*d/S(4) - b*c/S(4))*exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(b**S(2)*d**S(2)) - sqrt(pi)*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(S(4)*b**(S(3)/2)*d**(S(3)/2)) + sqrt(pi)*(a*d + b*c)**S(2)*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(S(8)*b**(S(5)/2)*d**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp((a + b*x)*(c + d*x)), x), x, exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/(S(2)*b*d) - sqrt(pi)*(a*d/S(4) + b*c/S(4))*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(b**(S(3)/2)*d**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp((a + b*x)*(c + d*x)), x), x, sqrt(pi)*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d)))/(S(2)*sqrt(b)*sqrt(d)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp((a + b*x)*(c + d*x))/x, x), x, Integral(exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/x, x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp((a + b*x)*(c + d*x))/x**S(2), x), x, sqrt(pi)*sqrt(b)*sqrt(d)*exp(-(-a*d + b*c)**S(2)/(S(4)*b*d))*erfi((a*d/S(2) + b*c/S(2) + b*d*x)/(sqrt(b)*sqrt(d))) + (a*d + b*c)*Integral(exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/x, x) - exp(a*c + b*d*x**S(2) + x*(a*d + b*c))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(d + e*x)**S(3), x), x, e*f**(a + b*x + c*x**S(2))*(d + e*x)**S(2)/(S(2)*c*log(f)) - e**S(3)*f**(a + b*x + c*x**S(2))/(S(2)*c**S(2)*log(f)**S(2)) + e*f**(a + b*x + c*x**S(2))*(d + e*x)*(-b*e + S(2)*c*d)/(S(4)*c**S(2)*log(f)) + e*f**(a + b*x + c*x**S(2))*(-b*e + S(2)*c*d)**S(2)/(S(8)*c**S(3)*log(f)) - S(3)*sqrt(pi)*e**S(2)*f**(a - b**S(2)/(S(4)*c))*(-b*e + S(2)*c*d)*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(8)*c**(S(5)/2)*log(f)**(S(3)/2)) + sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*(-b*e + S(2)*c*d)**S(3)*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(16)*c**(S(7)/2)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(d + e*x)**S(2), x), x, e*f**(a + b*x + c*x**S(2))*(d + e*x)/(S(2)*c*log(f)) + e*f**(a + b*x + c*x**S(2))*(-b*e + S(2)*c*d)/(S(4)*c**S(2)*log(f)) - sqrt(pi)*e**S(2)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(4)*c**(S(3)/2)*log(f)**(S(3)/2)) + sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*(-b*e + S(2)*c*d)**S(2)*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(8)*c**(S(5)/2)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(d + e*x), x), x, e*f**(a + b*x + c*x**S(2))/(S(2)*c*log(f)) + sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*(-b*e/S(4) + c*d/S(2))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(c**(S(3)/2)*sqrt(log(f))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(d + e*x), x), x, Integral(f**(a + b*x + c*x**S(2))/(d + e*x), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(d + e*x)**S(2), x), x, sqrt(pi)*sqrt(c)*f**(a - b**S(2)/(S(4)*c))*sqrt(log(f))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/e**S(2) - f**(a + b*x + c*x**S(2))/(e*(d + e*x)) - (-b*e + S(2)*c*d)*log(f)*Integral(f**(a + b*x + c*x**S(2))/(d + e*x), x)/e**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(d + e*x)**S(3), x), x, -sqrt(pi)*sqrt(c)*f**(a - b**S(2)/(S(4)*c))*(-b*e/S(2) + c*d)*log(f)**(S(3)/2)*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/e**S(4) + c*log(f)*Integral(f**(a + b*x + c*x**S(2))/(d + e*x), x)/e**S(2) - f**(a + b*x + c*x**S(2))/(S(2)*e*(d + e*x)**S(2)) + f**(a + b*x + c*x**S(2))*(-b*e/S(2) + c*d)*log(f)/(e**S(3)*(d + e*x)) + (-b*e + S(2)*c*d)**S(2)*log(f)**S(2)*Integral(f**(a + b*x + c*x**S(2))/(d + e*x), x)/(S(2)*e**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(b + S(2)*c*x)**S(3), x), x, -S(4)*c*f**(a + b*x + c*x**S(2))/log(f)**S(2) + f**(a + b*x + c*x**S(2))*(b + S(2)*c*x)**S(2)/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(b + S(2)*c*x)**S(2), x), x, -sqrt(pi)*sqrt(c)*f**(a - b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/log(f)**(S(3)/2) + f**(a + b*x + c*x**S(2))*(b + S(2)*c*x)/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*(b + S(2)*c*x), x), x, f**(a + b*x + c*x**S(2))/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(b + S(2)*c*x), x), x, f**(a - b**S(2)/(S(4)*c))*Ei((b + S(2)*c*x)**S(2)*log(f)/(S(4)*c))/(S(4)*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(b + S(2)*c*x)**S(2), x), x, -f**(a + b*x + c*x**S(2))/(S(2)*c*(b + S(2)*c*x)) + sqrt(pi)*f**(a - b**S(2)/(S(4)*c))*sqrt(log(f))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(4)*c**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))/(b + S(2)*c*x)**S(3), x), x, -f**(a + b*x + c*x**S(2))/(S(4)*c*(b + S(2)*c*x)**S(2)) + f**(a - b**S(2)/(S(4)*c))*log(f)*Ei((b + S(2)*c*x)**S(2)*log(f)/(S(4)*c))/(S(16)*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))*(b + S(2)*c*x)**S(3), x), x, -S(4)*c*f**(b*x + c*x**S(2))/log(f)**S(2) + f**(b*x + c*x**S(2))*(b + S(2)*c*x)**S(2)/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))*(b + S(2)*c*x)**S(2), x), x, -sqrt(pi)*sqrt(c)*f**(-b**S(2)/(S(4)*c))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/log(f)**(S(3)/2) + f**(b*x + c*x**S(2))*(b + S(2)*c*x)/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))*(b + S(2)*c*x), x), x, f**(b*x + c*x**S(2))/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))/(b + S(2)*c*x), x), x, f**(-b**S(2)/(S(4)*c))*Ei((b + S(2)*c*x)**S(2)*log(f)/(S(4)*c))/(S(4)*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))/(b + S(2)*c*x)**S(2), x), x, -f**(b*x + c*x**S(2))/(S(2)*c*(b + S(2)*c*x)) + sqrt(pi)*f**(-b**S(2)/(S(4)*c))*sqrt(log(f))*erfi((b/S(2) + c*x)*sqrt(log(f))/sqrt(c))/(S(4)*c**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(b*x + c*x**S(2))/(b + S(2)*c*x)**S(3), x), x, -f**(b*x + c*x**S(2))/(S(4)*c*(b + S(2)*c*x)**S(2)) + f**(-b**S(2)/(S(4)*c))*log(f)*Ei((b + S(2)*c*x)**S(2)*log(f)/(S(4)*c))/(S(16)*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(x*(a + b*exp(c + d*x))), x), x, Integral(S(1)/(x*(a + b*exp(c + d*x))), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*exp(c + d*x)), x), x, x/a - log(a + b*exp(c + d*x))/(a*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*exp(c + d*x)), x), x, -x*log(a*exp(-c - d*x)/b + S(1))/(a*d) + polylog(S(2), -a*exp(-c - d*x)/b)/(a*d**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*exp(c + d*x)), x), x, -x**S(2)*log(a*exp(-c - d*x)/b + S(1))/(a*d) + S(2)*x*polylog(S(2), -a*exp(-c - d*x)/b)/(a*d**S(2)) + S(2)*polylog(S(3), -a*exp(-c - d*x)/b)/(a*d**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)/(a + b*exp(c + d*x)), x), x, -x**S(3)*log(a*exp(-c - d*x)/b + S(1))/(a*d) + S(3)*x**S(2)*polylog(S(2), -a*exp(-c - d*x)/b)/(a*d**S(2)) + S(6)*x*polylog(S(3), -a*exp(-c - d*x)/b)/(a*d**S(3)) + S(6)*polylog(S(4), -a*exp(-c - d*x)/b)/(a*d**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*exp(c - d*x)), x), x, x/a + log(a + b*exp(c - d*x))/(a*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*exp(-c - d*x)), x), x, x/a + log(a + b*exp(-c - d*x))/(a*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(x*(a + b*exp(c + d*x))**S(2)), x), x, Integral(S(1)/(x*(a + b*exp(c + d*x))**S(2)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c + d*x))**(S(-2)), x), x, S(1)/(a*d*(a + b*exp(c + d*x))) + x/a**S(2) - log(a + b*exp(c + d*x))/(a**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*exp(c + d*x))**S(2), x), x, x/(a*d*(a + b*exp(c + d*x))) + x**S(2)/(S(2)*a**S(2)) - x*log(S(1) + b*exp(c + d*x)/a)/(a**S(2)*d) - x/(a**S(2)*d) + log(a + b*exp(c + d*x))/(a**S(2)*d**S(2)) - polylog(S(2), -b*exp(c + d*x)/a)/(a**S(2)*d**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*exp(c + d*x))**S(2), x), x, x**S(2)/(a*d*(a + b*exp(c + d*x))) + x**S(3)/(S(3)*a**S(2)) - x**S(2)*log(S(1) + b*exp(c + d*x)/a)/(a**S(2)*d) + S(2)*x*log(a*exp(-c - d*x)/b + S(1))/(a**S(2)*d**S(2)) - S(2)*x*polylog(S(2), -b*exp(c + d*x)/a)/(a**S(2)*d**S(2)) - S(2)*polylog(S(2), -a*exp(-c - d*x)/b)/(a**S(2)*d**S(3)) + S(2)*polylog(S(3), -b*exp(c + d*x)/a)/(a**S(2)*d**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)/(a + b*exp(c + d*x))**S(2), x), x, x**S(3)/(a*d*(a + b*exp(c + d*x))) + x**S(4)/(S(4)*a**S(2)) - x**S(3)*log(S(1) + b*exp(c + d*x)/a)/(a**S(2)*d) + S(3)*x**S(2)*log(a*exp(-c - d*x)/b + S(1))/(a**S(2)*d**S(2)) - S(3)*x**S(2)*polylog(S(2), -b*exp(c + d*x)/a)/(a**S(2)*d**S(2)) - S(6)*x*polylog(S(2), -a*exp(-c - d*x)/b)/(a**S(2)*d**S(3)) + S(6)*x*polylog(S(3), -b*exp(c + d*x)/a)/(a**S(2)*d**S(3)) - S(6)*polylog(S(3), -a*exp(-c - d*x)/b)/(a**S(2)*d**S(4)) - S(6)*polylog(S(4), -b*exp(c + d*x)/a)/(a**S(2)*d**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c - d*x))**(S(-2)), x), x, -S(1)/(a*d*(a + b*exp(c - d*x))) + x/a**S(2) + log(a + b*exp(c - d*x))/(a**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(-c - d*x))**(S(-2)), x), x, -S(1)/(a*d*(a + b*exp(-c - d*x))) + x/a**S(2) + log(a + b*exp(-c - d*x))/(a**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(x*(a + b*exp(c + d*x))**S(3)), x), x, Integral(S(1)/(x*(a + b*exp(c + d*x))**S(3)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c + d*x))**(S(-3)), x), x, S(1)/(S(2)*a*d*(a + b*exp(c + d*x))**S(2)) + S(1)/(a**S(2)*d*(a + b*exp(c + d*x))) + x/a**S(3) - log(a + b*exp(c + d*x))/(a**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*exp(c + d*x))**S(3), x), x, x/(S(2)*a*d*(a + b*exp(c + d*x))**S(2)) + x/(a**S(2)*d*(a + b*exp(c + d*x))) - S(1)/(S(2)*a**S(2)*d**S(2)*(a + b*exp(c + d*x))) + x**S(2)/(S(2)*a**S(3)) - x*log(S(1) + b*exp(c + d*x)/a)/(a**S(3)*d) - S(3)*x/(S(2)*a**S(3)*d) + S(3)*log(a + b*exp(c + d*x))/(S(2)*a**S(3)*d**S(2)) - polylog(S(2), -b*exp(c + d*x)/a)/(a**S(3)*d**S(2)), expand=True, _diff=True, _numerical=True)
# recursion assert rubi_test(rubi_integrate(x**S(2)/(a + b*exp(c + d*x))**S(3), x), x, x**S(2)/(S(2)*a*d*(a + b*exp(c + d*x))**S(2)) + x**S(2)/(a**S(2)*d*(a + b*exp(c + d*x))) - x/(a**S(2)*d**S(2)*(a + b*exp(c + d*x))) + x**S(3)/(S(3)*a**S(3)) - x**S(2)*log(S(1) + b*exp(c + d*x)/a)/(a**S(3)*d) - S(3)*x**S(2)/(S(2)*a**S(3)*d) + S(3)*x*log(S(1) + b*exp(c + d*x)/a)/(a**S(3)*d**S(2)) - S(2)*x*polylog(S(2), -b*exp(c + d*x)/a)/(a**S(3)*d**S(2)) + x/(a**S(3)*d**S(2)) - log(a + b*exp(c + d*x))/(a**S(3)*d**S(3)) + S(3)*polylog(S(2), -b*exp(c + d*x)/a)/(a**S(3)*d**S(3)) + S(2)*polylog(S(3), -b*exp(c + d*x)/a)/(a**S(3)*d**S(3)), expand=True, _diff=True, _numerical=True) or rubi_test(rubi_integrate(x**S(2)/(a + b*exp(c + d*x))**S(3), x), x, x**S(2)/(S(2)*a*d*(a + b*exp(c + d*x))**S(2)) + x**S(2)/(a**S(2)*d*(a + b*exp(c + d*x))) - x/(a**S(2)*d**S(2)*(a + b*exp(c + d*x))) + x**S(3)/(S(3)*a**S(3)) - x**S(2)*log(S(1) + b*exp(c + d*x)/a)/(a**S(3)*d) - x**S(2)/(S(2)*a**S(3)*d) + x*log(S(1) + b*exp(c + d*x)/a)/(a**S(3)*d**S(2)) + S(2)*x*log(a*exp(-c - d*x)/b + S(1))/(a**S(3)*d**S(2)) - S(2)*x*polylog(S(2), -b*exp(c + d*x)/a)/(a**S(3)*d**S(2)) + x/(a**S(3)*d**S(2)) - log(a + b*exp(c + d*x))/(a**S(3)*d**S(3)) + polylog(S(2), -b*exp(c + d*x)/a)/(a**S(3)*d**S(3)) - S(2)*polylog(S(2), -a*exp(-c - d*x)/b)/(a**S(3)*d**S(3)) + S(2)*polylog(S(3), -b*exp(c + d*x)/a)/(a**S(3)*d**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(c - d*x))**(S(-3)), x), x, -S(1)/(S(2)*a*d*(a + b*exp(c - d*x))**S(2)) - S(1)/(a**S(2)*d*(a + b*exp(c - d*x))) + x/a**S(3) + log(a + b*exp(c - d*x))/(a**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(-c - d*x))**(S(-3)), x), x, -S(1)/(S(2)*a*d*(a + b*exp(-c - d*x))**S(2)) - S(1)/(a**S(2)*d*(a + b*exp(-c - d*x))) + x/a**S(3) + log(a + b*exp(-c - d*x))/(a**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x)/(x**S(2)*(c + d*x**S(2))), x), x, b*exp(a)*Ei(b*x)/c - sqrt(d)*exp(a - b*sqrt(-c)/sqrt(d))*Ei(b*(sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*(-c)**(S(3)/2)) + sqrt(d)*exp(a + b*sqrt(-c)/sqrt(d))*Ei(-b*(-sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*(-c)**(S(3)/2)) - exp(a + b*x)/(c*x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x)/(x*(c + d*x**S(2))), x), x, exp(a)*Ei(b*x)/c - exp(a - b*sqrt(-c)/sqrt(d))*Ei(b*(sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*c) - exp(a + b*sqrt(-c)/sqrt(d))*Ei(-b*(-sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x)/(c + d*x**S(2)), x), x, -exp(a - b*sqrt(-c)/sqrt(d))*Ei(b*(sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*sqrt(d)*sqrt(-c)) + exp(a + b*sqrt(-c)/sqrt(d))*Ei(-b*(-sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*sqrt(d)*sqrt(-c)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(a + b*x)/(c + d*x**S(2)), x), x, exp(a - b*sqrt(-c)/sqrt(d))*Ei(b*(sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*d) + exp(a + b*sqrt(-c)/sqrt(d))*Ei(-b*(-sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(a + b*x)/(c + d*x**S(2)), x), x, -sqrt(-c)*exp(a - b*sqrt(-c)/sqrt(d))*Ei(b*(sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*d**(S(3)/2)) + sqrt(-c)*exp(a + b*sqrt(-c)/sqrt(d))*Ei(-b*(-sqrt(d)*x + sqrt(-c))/sqrt(d))/(S(2)*d**(S(3)/2)) + exp(a + b*x)/(b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(d + e*x)/(x**S(2)*(a + b*x + c*x**S(2))), x), x, e*exp(d)*Ei(e*x)/a - exp(d + e*x)/(a*x) - b*exp(d)*Ei(e*x)/a**S(2) + (b + (-S(2)*a*c + b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*a**S(2)) + (b + (S(2)*a*c - b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*a**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(d + e*x)/(x*(a + b*x + c*x**S(2))), x), x, -(-b/sqrt(-S(4)*a*c + b**S(2)) + S(1))*exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*a) - (b/sqrt(-S(4)*a*c + b**S(2)) + S(1))*exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*a) + exp(d)*Ei(e*x)/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(d + e*x)/(a + b*x + c*x**S(2)), x), x, exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/sqrt(-S(4)*a*c + b**S(2)) - exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/sqrt(-S(4)*a*c + b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(d + e*x)/(a + b*x + c*x**S(2)), x), x, (-b/sqrt(-S(4)*a*c + b**S(2)) + S(1))*exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c) + (b/sqrt(-S(4)*a*c + b**S(2)) + S(1))*exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(d + e*x)/(a + b*x + c*x**S(2)), x), x, exp(d + e*x)/(c*e) - (b + (-S(2)*a*c + b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c**S(2)) - (b + (S(2)*a*c - b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(d + e*x)/(a + b*x + c*x**S(2)), x), x, -b*exp(d + e*x)/(c**S(2)*e) + x*exp(d + e*x)/(c*e) - exp(d + e*x)/(c*e**S(2)) + (-a*c + b**S(2) - b*(-S(3)*a*c + b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c**S(3)) + (-a*c + b**S(2) + b*(-S(3)*a*c + b**S(2))/sqrt(-S(4)*a*c + b**S(2)))*exp(d - e*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))*Ei(e*(b + S(2)*c*x + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(S(2)*c**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/(S(2)**x*b + a), x), x, S(2)**x/(b*log(S(2))) - a*log(S(2)**x*b + a)/(b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/(S(2)**x*b + a), x), x, S(2)**x/(b*log(S(2))) - a*log(S(2)**x*b + a)/(b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/(-S(2)**x*b + a), x), x, -S(2)**x/(b*log(S(2))) - a*log(-S(2)**x*b + a)/(b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/(-S(2)**x*b + a), x), x, -S(2)**x/(b*log(S(2))) - a*log(-S(2)**x*b + a)/(b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/(a + S(2)**(-x)*b), x), x, -S(2)**x*b/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))/(a*log(S(2))) + b**S(2)*x/a**S(3) + b**S(2)*log(a + S(2)**(-x)*b)/(a**S(3)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/(a + S(2)**(-x)*b), x), x, -S(2)**x*b/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))/(a*log(S(2))) + b**S(2)*x/a**S(3) + b**S(2)*log(a + S(2)**(-x)*b)/(a**S(3)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/(a - S(2)**(-x)*b), x), x, S(2)**x*b/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))/(a*log(S(2))) + b**S(2)*x/a**S(3) + b**S(2)*log(a - S(2)**(-x)*b)/(a**S(3)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/(a - S(2)**(-x)*b), x), x, S(2)**x*b/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))/(a*log(S(2))) + b**S(2)*x/a**S(3) + b**S(2)*log(a - S(2)**(-x)*b)/(a**S(3)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(S(4)**x*b + a), x), x, atan(S(2)**x*sqrt(b)/sqrt(a))/(sqrt(a)*sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(S(2)**(S(2)*x)*b + a), x), x, atan(S(2)**x*sqrt(b)/sqrt(a))/(sqrt(a)*sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(-S(4)**x*b + a), x), x, atanh(S(2)**x*sqrt(b)/sqrt(a))/(sqrt(a)*sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(-S(2)**(S(2)*x)*b + a), x), x, atanh(S(2)**x*sqrt(b)/sqrt(a))/(sqrt(a)*sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(a + S(4)**(-x)*b), x), x, S(2)**x/(a*log(S(2))) - sqrt(b)*atan(S(2)**x*sqrt(a)/sqrt(b))/(a**(S(3)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(a + S(2)**(-S(2)*x)*b), x), x, S(2)**x/(a*log(S(2))) - sqrt(b)*atan(S(2)**x*sqrt(a)/sqrt(b))/(a**(S(3)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(a - S(4)**(-x)*b), x), x, S(2)**x/(a*log(S(2))) - sqrt(b)*atanh(S(2)**x*sqrt(a)/sqrt(b))/(a**(S(3)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/(a - S(2)**(-S(2)*x)*b), x), x, S(2)**x/(a*log(S(2))) - sqrt(b)*atanh(S(2)**x*sqrt(a)/sqrt(b))/(a**(S(3)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(S(4)**x*b + a), x), x, atanh(S(2)**x*sqrt(b)/sqrt(S(2)**(S(2)*x)*b + a))/(sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(S(2)**(S(2)*x)*b + a), x), x, atanh(S(2)**x*sqrt(b)/sqrt(S(2)**(S(2)*x)*b + a))/(sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(-S(4)**x*b + a), x), x, atan(S(2)**x*sqrt(b)/sqrt(-S(2)**(S(2)*x)*b + a))/(sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(-S(2)**(S(2)*x)*b + a), x), x, atan(S(2)**x*sqrt(b)/sqrt(-S(2)**(S(2)*x)*b + a))/(sqrt(b)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(a + S(4)**(-x)*b), x), x, S(2)**x*sqrt(a + S(2)**(-S(2)*x)*b)/(a*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(a + S(2)**(-S(2)*x)*b), x), x, S(2)**x*sqrt(a + S(2)**(-S(2)*x)*b)/(a*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(a - S(4)**(-x)*b), x), x, S(2)**x*sqrt(a - S(2)**(-S(2)*x)*b)/(a*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x/sqrt(a - S(2)**(-S(2)*x)*b), x), x, S(2)**x*sqrt(a - S(2)**(-S(2)*x)*b)/(a*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/sqrt(S(2)**x*b + a), x), x, -S(2)*a*sqrt(S(2)**x*b + a)/(b**S(2)*log(S(2))) + S(2)*(S(2)**x*b + a)**(S(3)/2)/(S(3)*b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/sqrt(S(2)**x*b + a), x), x, -S(2)*a*sqrt(S(2)**x*b + a)/(b**S(2)*log(S(2))) + S(2)*(S(2)**x*b + a)**(S(3)/2)/(S(3)*b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/sqrt(-S(2)**x*b + a), x), x, -S(2)*a*sqrt(-S(2)**x*b + a)/(b**S(2)*log(S(2))) + S(2)*(-S(2)**x*b + a)**(S(3)/2)/(S(3)*b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/sqrt(-S(2)**x*b + a), x), x, -S(2)*a*sqrt(-S(2)**x*b + a)/(b**S(2)*log(S(2))) + S(2)*(-S(2)**x*b + a)**(S(3)/2)/(S(3)*b**S(2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/sqrt(a + S(2)**(-x)*b), x), x, -S(3)*S(2)**(x + S(-2))*b*sqrt(a + S(2)**(-x)*b)/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))*sqrt(a + S(2)**(-x)*b)/(a*log(S(2))) + S(3)*b**S(2)*atanh(sqrt(a + S(2)**(-x)*b)/sqrt(a))/(S(4)*a**(S(5)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/sqrt(a + S(2)**(-x)*b), x), x, -S(3)*S(2)**(x + S(-2))*b*sqrt(a + S(2)**(-x)*b)/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))*sqrt(a + S(2)**(-x)*b)/(a*log(S(2))) + S(3)*b**S(2)*atanh(sqrt(a + S(2)**(-x)*b)/sqrt(a))/(S(4)*a**(S(5)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(4)**x/sqrt(a - S(2)**(-x)*b), x), x, S(3)*S(2)**(x + S(-2))*b*sqrt(a - S(2)**(-x)*b)/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))*sqrt(a - S(2)**(-x)*b)/(a*log(S(2))) + S(3)*b**S(2)*atanh(sqrt(a - S(2)**(-x)*b)/sqrt(a))/(S(4)*a**(S(5)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(2)*x)/sqrt(a - S(2)**(-x)*b), x), x, S(3)*S(2)**(x + S(-2))*b*sqrt(a - S(2)**(-x)*b)/(a**S(2)*log(S(2))) + S(2)**(S(2)*x + S(-1))*sqrt(a - S(2)**(-x)*b)/(a*log(S(2))) + S(3)*b**S(2)*atanh(sqrt(a - S(2)**(-x)*b)/sqrt(a))/(S(4)*a**(S(5)/2)*log(S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(2)*x) + S(2)*exp(x) + S(1)), x), x, x - log(exp(x) + S(1)) + S(1)/(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(2)*x) + S(3)*exp(x) + S(2)), x), x, x/S(2) - log(exp(x) + S(1)) + log(exp(x) + S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(2)*x) + exp(x) + S(-1)), x), x, -x + (-sqrt(S(5)) + S(5))*log(S(2)*exp(x) + S(1) + sqrt(S(5)))/S(10) + (sqrt(S(5)) + S(5))*log(S(2)*exp(x) - sqrt(S(5)) + S(1))/S(10), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(2)*x) + S(3)*exp(x) + S(3)), x), x, x/S(3) - log(exp(S(2)*x) + S(3)*exp(x) + S(3))/S(6) - sqrt(S(3))*atan(sqrt(S(3))*(S(2)*exp(x) + S(3))/S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*exp(x) + c*exp(S(2)*x)), x), x, b*atanh((b + S(2)*c*exp(x))/sqrt(-S(4)*a*c + b**S(2)))/(a*sqrt(-S(4)*a*c + b**S(2))) + x/a - log(a + b*exp(x) + c*exp(S(2)*x))/(S(2)*a), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(exp(S(2)*x) + S(2)*exp(x) + S(1)), x), x, x**S(2)/S(2) - x*log(exp(x) + S(1)) - x + x/(exp(x) + S(1)) + log(exp(x) + S(1)) - polylog(S(2), -exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(exp(S(2)*x) + S(3)*exp(x) + S(2)), x), x, -x*log(S(1) + exp(-x)) + x*log(S(1) + S(2)*exp(-x))/S(2) - polylog(S(2), -S(2)*exp(-x))/S(2) + polylog(S(2), -exp(-x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(exp(S(2)*x) + exp(x) + S(-1)), x), x, S(2)*sqrt(S(5))*x*log(S(1) + (S(1)/2 + sqrt(S(5))/S(2))*exp(-x))/(S(5)*(S(1) + sqrt(S(5)))) - S(2)*sqrt(S(5))*x*log(S(1) + (-sqrt(S(5))/S(2) + S(1)/2)*exp(-x))/(S(5)*(-sqrt(S(5)) + S(1))) + S(2)*sqrt(S(5))*polylog(S(2), (S(-1)/2 + sqrt(S(5))/S(2))*exp(-x))/(S(5)*(-sqrt(S(5)) + S(1))) - S(2)*sqrt(S(5))*polylog(S(2), (-sqrt(S(5))/S(2) + S(-1)/2)*exp(-x))/(S(5)*(S(1) + sqrt(S(5)))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(exp(S(2)*x) + S(3)*exp(x) + S(3)), x), x, -S(2)*sqrt(S(3))*x*log(S(1) + (S(3)/2 - sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(sqrt(S(3)) + S(3)*I)) + S(2)*sqrt(S(3))*x*log(S(1) + (S(3)/2 + sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(-sqrt(S(3)) + S(3)*I)) - S(2)*sqrt(S(3))*polylog(S(2), (S(-3)/2 - sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(-sqrt(S(3)) + S(3)*I)) + S(2)*sqrt(S(3))*polylog(S(2), (S(-3)/2 + sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(sqrt(S(3)) + S(3)*I)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*exp(x) + c*exp(S(2)*x)), x), x, S(2)*c*x*log(S(1) + (b/S(2) + sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) + b*sqrt(-S(4)*a*c + b**S(2))) + S(2)*c*x*log(S(1) + (b/S(2) - sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) - b*sqrt(-S(4)*a*c + b**S(2))) - S(2)*c*polylog(S(2), (-b/S(2) - sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) + b*sqrt(-S(4)*a*c + b**S(2))) - S(2)*c*polylog(S(2), (-b/S(2) + sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) - b*sqrt(-S(4)*a*c + b**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(exp(S(2)*x) + S(2)*exp(x) + S(1)), x), x, x**S(3)/S(3) - x**S(2)*log(exp(x) + S(1)) + x**S(2)/(exp(x) + S(1)) + S(2)*x*log(S(1) + exp(-x)) - S(2)*x*polylog(S(2), -exp(x)) - S(2)*polylog(S(2), -exp(-x)) + S(2)*polylog(S(3), -exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(exp(S(2)*x) + S(3)*exp(x) + S(2)), x), x, -x**S(2)*log(S(1) + exp(-x)) + x**S(2)*log(S(1) + S(2)*exp(-x))/S(2) - x*polylog(S(2), -S(2)*exp(-x)) + S(2)*x*polylog(S(2), -exp(-x)) - polylog(S(3), -S(2)*exp(-x)) + S(2)*polylog(S(3), -exp(-x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(exp(S(2)*x) + exp(x) + S(-1)), x), x, S(2)*sqrt(S(5))*x**S(2)*log(S(1) + (S(1)/2 + sqrt(S(5))/S(2))*exp(-x))/(S(5)*(S(1) + sqrt(S(5)))) - S(2)*sqrt(S(5))*x**S(2)*log(S(1) + (-sqrt(S(5))/S(2) + S(1)/2)*exp(-x))/(S(5)*(-sqrt(S(5)) + S(1))) + S(4)*sqrt(S(5))*x*polylog(S(2), (S(-1)/2 + sqrt(S(5))/S(2))*exp(-x))/(S(5)*(-sqrt(S(5)) + S(1))) - S(4)*sqrt(S(5))*x*polylog(S(2), (-sqrt(S(5))/S(2) + S(-1)/2)*exp(-x))/(S(5)*(S(1) + sqrt(S(5)))) + S(4)*sqrt(S(5))*polylog(S(3), (S(-1)/2 + sqrt(S(5))/S(2))*exp(-x))/(S(5)*(-sqrt(S(5)) + S(1))) - S(4)*sqrt(S(5))*polylog(S(3), (-sqrt(S(5))/S(2) + S(-1)/2)*exp(-x))/(S(5)*(S(1) + sqrt(S(5)))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(exp(S(2)*x) + S(3)*exp(x) + S(3)), x), x, -S(2)*sqrt(S(3))*x**S(2)*log(S(1) + (S(3)/2 - sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(sqrt(S(3)) + S(3)*I)) + S(2)*sqrt(S(3))*x**S(2)*log(S(1) + (S(3)/2 + sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(-sqrt(S(3)) + S(3)*I)) - S(4)*sqrt(S(3))*x*polylog(S(2), (S(-3)/2 - sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(-sqrt(S(3)) + S(3)*I)) + S(4)*sqrt(S(3))*x*polylog(S(2), (S(-3)/2 + sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(sqrt(S(3)) + S(3)*I)) - S(4)*sqrt(S(3))*polylog(S(3), (S(-3)/2 - sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(-sqrt(S(3)) + S(3)*I)) + S(4)*sqrt(S(3))*polylog(S(3), (S(-3)/2 + sqrt(S(3))*I/S(2))*exp(-x))/(S(3)*(sqrt(S(3)) + S(3)*I)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*exp(x) + c*exp(S(2)*x)), x), x, S(2)*c*x**S(2)*log(S(1) + (b/S(2) + sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) + b*sqrt(-S(4)*a*c + b**S(2))) + S(2)*c*x**S(2)*log(S(1) + (b/S(2) - sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) - b*sqrt(-S(4)*a*c + b**S(2))) - S(4)*c*x*polylog(S(2), (-b/S(2) - sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) + b*sqrt(-S(4)*a*c + b**S(2))) - S(4)*c*x*polylog(S(2), (-b/S(2) + sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) - b*sqrt(-S(4)*a*c + b**S(2))) - S(4)*c*polylog(S(3), (-b/S(2) - sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) + b*sqrt(-S(4)*a*c + b**S(2))) - S(4)*c*polylog(S(3), (-b/S(2) + sqrt(-S(4)*a*c + b**S(2))/S(2))*exp(-x)/c)/(-S(4)*a*c + b**S(2) - b*sqrt(-S(4)*a*c + b**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(S(2)*f**(c + d*x) + f**(S(2)*c + S(2)*d*x) + S(1)), x), x, x - log(f**(c + d*x) + S(1))/(d*log(f)) + S(1)/(d*(f**(c + d*x) + S(1))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*f**(c + d*x) + c*f**(S(2)*c + S(2)*d*x)), x), x, b*atanh((b + S(2)*c*f**(c + d*x))/sqrt(-S(4)*a*c + b**S(2)))/(a*d*sqrt(-S(4)*a*c + b**S(2))*log(f)) + x/a - log(a + b*f**(c + d*x) + c*f**(S(2)*c + S(2)*d*x))/(S(2)*a*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x)), x), x, b*atanh((b + S(2)*c*f**(g + h*x))/sqrt(-S(4)*a*c + b**S(2)))/(a*h*sqrt(-S(4)*a*c + b**S(2))*log(f)) + x/a - log(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x))/(S(2)*a*h*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(S(2)*f**(c + d*x) + f**(S(2)*c + S(2)*d*x) + S(1)), x), x, x**S(2)/S(2) - x*log(f**(c + d*x) + S(1))/(d*log(f)) - x/(d*log(f)) + x/(d*(f**(c + d*x) + S(1))*log(f)) + log(f**(c + d*x) + S(1))/(d**S(2)*log(f)**S(2)) - polylog(S(2), -f**(c + d*x))/(d**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*f**(c + d*x) + c*f**(S(2)*c + S(2)*d*x)), x), x, S(2)*c*x*log(S(1) + f**(-c - d*x)*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d*(b + sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)) - S(2)*c*x*log(S(1) + f**(-c - d*x)*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d*(b - sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)) - S(2)*c*polylog(S(2), -f**(-c - d*x)*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(2)*(b + sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(2)) + S(2)*c*polylog(S(2), -f**(-c - d*x)*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(2)*(b - sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(S(2)*f**(c + d*x) + f**(S(2)*c + S(2)*d*x) + S(1)), x), x, x**S(3)/S(3) - x**S(2)*log(f**(c + d*x) + S(1))/(d*log(f)) + x**S(2)/(d*(f**(c + d*x) + S(1))*log(f)) + S(2)*x*log(f**(-c - d*x) + S(1))/(d**S(2)*log(f)**S(2)) - S(2)*x*polylog(S(2), -f**(c + d*x))/(d**S(2)*log(f)**S(2)) - S(2)*polylog(S(2), -f**(-c - d*x))/(d**S(3)*log(f)**S(3)) + S(2)*polylog(S(3), -f**(c + d*x))/(d**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*f**(c + d*x) + c*f**(S(2)*c + S(2)*d*x)), x), x, S(2)*c*x**S(2)*log(S(1) + f**(-c - d*x)*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d*(b + sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)) - S(2)*c*x**S(2)*log(S(1) + f**(-c - d*x)*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d*(b - sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)) - S(4)*c*x*polylog(S(2), -f**(-c - d*x)*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(2)*(b + sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(2)) + S(4)*c*x*polylog(S(2), -f**(-c - d*x)*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(2)*(b - sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(2)) - S(4)*c*polylog(S(3), -f**(-c - d*x)*(b + sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(3)*(b + sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(3)) + S(4)*c*polylog(S(3), -f**(-c - d*x)*(b - sqrt(-S(4)*a*c + b**S(2)))/(S(2)*c))/(d**S(3)*(b - sqrt(-S(4)*a*c + b**S(2)))*sqrt(-S(4)*a*c + b**S(2))*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*f**(g + h*x))/(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x)), x), x, d*x/a - d*log(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x))/(S(2)*a*h*log(f)) + (-S(2)*a*e + b*d)*atanh((b + S(2)*c*f**(g + h*x))/sqrt(-S(4)*a*c + b**S(2)))/(a*h*sqrt(-S(4)*a*c + b**S(2))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*f**(g + h*x))/(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x)), x), x, d*x/a - d*log(a + b*f**(g + h*x) + c*f**(S(2)*g + S(2)*h*x))/(S(2)*a*h*log(f)) + (-S(2)*a*e + b*d)*atanh((b + S(2)*c*f**(g + h*x))/sqrt(-S(4)*a*c + b**S(2)))/(a*h*sqrt(-S(4)*a*c + b**S(2))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(x) + S(2) + exp(-x)), x), x, -S(1)/(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(exp(x) + S(2) + exp(-x)), x), x, x - x/(exp(x) + S(1)) - log(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(exp(x) + S(2) + exp(-x)), x), x, -x**S(2)/(exp(x) + S(1)) - S(2)*x*log(S(1) + exp(-x)) + S(2)*polylog(S(2), -exp(-x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(f**(-c - d*x) + f**(c + d*x) + S(2)), x), x, -S(1)/(d*(f**(c + d*x) + S(1))*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(f**(-c - d*x) + f**(c + d*x) + S(2)), x), x, x/(d*log(f)) - x/(d*(f**(c + d*x) + S(1))*log(f)) - log(f**(c + d*x) + S(1))/(d**S(2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(f**(-c - d*x) + f**(c + d*x) + S(2)), x), x, -x**S(2)/(d*(f**(c + d*x) + S(1))*log(f)) - S(2)*x*log(f**(-c - d*x) + S(1))/(d**S(2)*log(f)**S(2)) + S(2)*polylog(S(2), -f**(-c - d*x))/(d**S(3)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(S(3)**x + S(2) + S(3)**(-x)), x), x, -S(1)/((S(3)**x + S(1))*log(S(3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(S(2)*exp(x) + S(1) - exp(-x)), x), x, log(-S(2)*exp(x) + S(1))/S(3) - log(exp(x) + S(1))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*exp(-x) + c*exp(x)), x), x, -S(2)*atanh((a + S(2)*c*exp(x))/sqrt(a**S(2) - S(4)*b*c))/sqrt(a**S(2) - S(4)*b*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*exp(-x) + c*exp(x)), x), x, x*log(S(2)*c*exp(x)/(a - sqrt(a**S(2) - S(4)*b*c)) + S(1))/sqrt(a**S(2) - S(4)*b*c) - x*log(S(2)*c*exp(x)/(a + sqrt(a**S(2) - S(4)*b*c)) + S(1))/sqrt(a**S(2) - S(4)*b*c) + polylog(S(2), -S(2)*c*exp(x)/(a - sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c) - polylog(S(2), -S(2)*c*exp(x)/(a + sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*exp(-x) + c*exp(x)), x), x, x**S(2)*log(S(2)*c*exp(x)/(a - sqrt(a**S(2) - S(4)*b*c)) + S(1))/sqrt(a**S(2) - S(4)*b*c) - x**S(2)*log(S(2)*c*exp(x)/(a + sqrt(a**S(2) - S(4)*b*c)) + S(1))/sqrt(a**S(2) - S(4)*b*c) + S(2)*x*polylog(S(2), -S(2)*c*exp(x)/(a - sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c) - S(2)*x*polylog(S(2), -S(2)*c*exp(x)/(a + sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c) - S(2)*polylog(S(3), -S(2)*c*exp(x)/(a - sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c) + S(2)*polylog(S(3), -S(2)*c*exp(x)/(a + sqrt(a**S(2) - S(4)*b*c)))/sqrt(a**S(2) - S(4)*b*c), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a + b*f**(-c - d*x) + c*f**(c + d*x)), x), x, -S(2)*atanh((a + S(2)*c*f**(c + d*x))/sqrt(a**S(2) - S(4)*b*c))/(d*sqrt(a**S(2) - S(4)*b*c)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a + b*f**(-c - d*x) + c*f**(c + d*x)), x), x, x*log(S(2)*c*f**(c + d*x)/(a - sqrt(a**S(2) - S(4)*b*c)) + S(1))/(d*sqrt(a**S(2) - S(4)*b*c)*log(f)) - x*log(S(2)*c*f**(c + d*x)/(a + sqrt(a**S(2) - S(4)*b*c)) + S(1))/(d*sqrt(a**S(2) - S(4)*b*c)*log(f)) + polylog(S(2), -S(2)*c*f**(c + d*x)/(a - sqrt(a**S(2) - S(4)*b*c)))/(d**S(2)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(2)) - polylog(S(2), -S(2)*c*f**(c + d*x)/(a + sqrt(a**S(2) - S(4)*b*c)))/(d**S(2)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a + b*f**(-c - d*x) + c*f**(c + d*x)), x), x, x**S(2)*log(S(2)*c*f**(c + d*x)/(a - sqrt(a**S(2) - S(4)*b*c)) + S(1))/(d*sqrt(a**S(2) - S(4)*b*c)*log(f)) - x**S(2)*log(S(2)*c*f**(c + d*x)/(a + sqrt(a**S(2) - S(4)*b*c)) + S(1))/(d*sqrt(a**S(2) - S(4)*b*c)*log(f)) + S(2)*x*polylog(S(2), -S(2)*c*f**(c + d*x)/(a - sqrt(a**S(2) - S(4)*b*c)))/(d**S(2)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(2)) - S(2)*x*polylog(S(2), -S(2)*c*f**(c + d*x)/(a + sqrt(a**S(2) - S(4)*b*c)))/(d**S(2)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(2)) - S(2)*polylog(S(3), -S(2)*c*f**(c + d*x)/(a - sqrt(a**S(2) - S(4)*b*c)))/(d**S(3)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(3)) + S(2)*polylog(S(3), -S(2)*c*f**(c + d*x)/(a + sqrt(a**S(2) - S(4)*b*c)))/(d**S(3)*sqrt(a**S(2) - S(4)*b*c)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(sqrt(-a*x + S(1))/sqrt(a*x + S(1))))**n/(-a**S(2)*x**S(2) + S(1)), x), x, -F**(-n*sqrt(-a*x + S(1))/sqrt(a*x + S(1)))*(F**(sqrt(-a*x + S(1))/sqrt(a*x + S(1))))**n*Ei(n*sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(S(3)*sqrt(-a*x + S(1))/sqrt(a*x + S(1)))/(-a**S(2)*x**S(2) + S(1)), x), x, -Ei(S(3)*sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(S(2)*sqrt(-a*x + S(1))/sqrt(a*x + S(1)))/(-a**S(2)*x**S(2) + S(1)), x), x, -Ei(S(2)*sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(sqrt(-a*x + S(1))/sqrt(a*x + S(1)))/(-a**S(2)*x**S(2) + S(1)), x), x, -Ei(sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(-sqrt(-a*x + S(1))/sqrt(a*x + S(1)))/(-a**S(2)*x**S(2) + S(1)), x), x, -Ei(-sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(-S(2)*sqrt(-a*x + S(1))/sqrt(a*x + S(1)))/(-a**S(2)*x**S(2) + S(1)), x), x, -Ei(-S(2)*sqrt(-a*x + S(1))*log(F)/sqrt(a*x + S(1)))/a, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)**n/(-c**S(2)*x**S(2) + S(1)), x), x, -Integral((F**x*b + a)**n/x, (x, sqrt(-c*x + S(1))/sqrt(c*x + S(1))))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)**S(3)/(-c**S(2)*x**S(2) + S(1)), x), x, -a**S(3)*log(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))/c - S(3)*a**S(2)*b*Ei(sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c - S(3)*a*b**S(2)*Ei(S(2)*sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c - b**S(3)*Ei(S(3)*sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)**S(2)/(-c**S(2)*x**S(2) + S(1)), x), x, -a**S(2)*log(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))/c - S(2)*a*b*Ei(sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c - b**S(2)*Ei(S(2)*sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)/(-c**S(2)*x**S(2) + S(1)), x), x, -a*log(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))/c - b*Ei(sqrt(-c*x + S(1))*log(F)/sqrt(c*x + S(1)))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)*(-c**S(2)*x**S(2) + S(1))), x), x, -Integral(S(1)/(x*(F**x*b + a)), (x, sqrt(-c*x + S(1))/sqrt(c*x + S(1))))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((F**(sqrt(-c*x + S(1))/sqrt(c*x + S(1)))*b + a)**S(2)*(-c**S(2)*x**S(2) + S(1))), x), x, -Integral(S(1)/(x*(F**x*b + a)**S(2)), (x, sqrt(-c*x + S(1))/sqrt(c*x + S(1))))/c, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x*x**S(2), x), x, a**x*b**x*x**S(2)/(log(a) + log(b)) - S(2)*a**x*b**x*x/(log(a) + log(b))**S(2) + S(2)*a**x*b**x/(log(a) + log(b))**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x*x, x), x, a**x*b**x*x/(log(a) + log(b)) - a**x*b**x/(log(a) + log(b))**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x, x), x, a**x*b**x/(log(a) + log(b)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x/x, x), x, Ei(x*(log(a) + log(b))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x/x**S(2), x), x, -a**x*b**x/x + (log(a) + log(b))*Ei(x*(log(a) + log(b))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x/x**S(3), x), x, -a**x*b**x*(log(a) + log(b))/(S(2)*x) - a**x*b**x/(S(2)*x**S(2)) + (log(a) + log(b))**S(2)*Ei(x*(log(a) + log(b)))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**x*c**x, x), x, a**x*b**x*c**x/(log(a) + log(b) + log(c)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**(-x), x), x, a**x*b**(-x)/(log(a) - log(b)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(a**x*b**(-x)*x**S(2), x), x, a**x*b**(-x)*x**S(2)/(log(a) - log(b)) - S(2)*a**x*b**(-x)*x/(log(a) - log(b))**S(2) + S(2)*a**x*b**(-x)/(log(a) - log(b))**S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(a + b*exp(x)), x), x, -a*log(a + b*exp(x))/b**S(2) + exp(x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(a + b*exp(x))**S(2), x), x, a/(b**S(2)*(a + b*exp(x))) + log(a + b*exp(x))/b**S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(a + b*exp(x))**S(3), x), x, exp(S(2)*x)/(S(2)*a*(a + b*exp(x))**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(a + b*exp(x))**S(4), x), x, a/(S(3)*b**S(2)*(a + b*exp(x))**S(3)) - S(1)/(S(2)*b**S(2)*(a + b*exp(x))**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/(a + b*exp(S(2)*x)), x), x, -a*log(a + b*exp(S(2)*x))/(S(2)*b**S(2)) + exp(S(2)*x)/(S(2)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/(a + b*exp(S(2)*x))**S(2), x), x, a/(S(2)*b**S(2)*(a + b*exp(S(2)*x))) + log(a + b*exp(S(2)*x))/(S(2)*b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/(a + b*exp(S(2)*x))**S(3), x), x, exp(S(4)*x)/(S(4)*a*(a + b*exp(S(2)*x))**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/(a + b*exp(S(2)*x))**S(4), x), x, a/(S(6)*b**S(2)*(a + b*exp(S(2)*x))**S(3)) - S(1)/(S(4)*b**S(2)*(a + b*exp(S(2)*x))**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/(a + b*exp(S(2)*x))**(S(2)/3), x), x, -S(3)*a*(a + b*exp(S(2)*x))**(S(1)/3)/(S(2)*b**S(2)) + S(3)*(a + b*exp(S(2)*x))**(S(4)/3)/(S(8)*b**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(n*x))*exp(-n*x), x), x, -a*exp(-n*x)/n + b*x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(n*x))**S(2)*exp(-n*x), x), x, -a**S(2)*exp(-n*x)/n + S(2)*a*b*x + b**S(2)*exp(n*x)/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(n*x))**S(3)*exp(-n*x), x), x, -a**S(3)*exp(-n*x)/n + S(3)*a**S(2)*b*x + S(3)*a*b**S(2)*exp(n*x)/n + b**S(3)*exp(S(2)*n*x)/(S(2)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-n*x)/(a + b*exp(n*x)), x), x, -exp(-n*x)/(a*n) - b*x/a**S(2) + b*log(a + b*exp(n*x))/(a**S(2)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-n*x)/(a + b*exp(n*x))**S(2), x), x, -b/(a**S(2)*n*(a + b*exp(n*x))) - exp(-n*x)/(a**S(2)*n) - S(2)*b*x/a**S(3) + S(2)*b*log(a + b*exp(n*x))/(a**S(3)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-n*x)/(a + b*exp(n*x))**S(3), x), x, -b/(S(2)*a**S(2)*n*(a + b*exp(n*x))**S(2)) - S(2)*b/(a**S(3)*n*(a + b*exp(n*x))) - exp(-n*x)/(a**S(3)*n) - S(3)*b*x/a**S(4) + S(3)*b*log(a + b*exp(n*x))/(a**S(4)*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x)/(c + d*f**(S(2)*b*x + e)), x), x, f**(a - e/S(2))*atan(sqrt(d)*f**(b*x + e/S(2))/sqrt(c))/(b*sqrt(c)*sqrt(d)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + S(2)*b*x)/(c + d*f**(S(2)*b*x + e)), x), x, f**(a - e)*log(c + d*f**(S(2)*b*x + e))/(S(2)*b*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + S(3)*b*x)/(c + d*f**(S(2)*b*x + e)), x), x, -sqrt(c)*f**(a - S(3)*e/S(2))*atan(sqrt(d)*f**(b*x + e/S(2))/sqrt(c))/(b*d**(S(3)/2)*log(f)) + f**(a + b*x - e)/(b*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + S(4)*b*x)/(c + d*f**(S(2)*b*x + e)), x), x, -c*f**(a - S(2)*e)*log(c + d*f**(S(2)*b*x + e))/(S(2)*b*d**S(2)*log(f)) + f**(a + S(2)*b*x - e)/(S(2)*b*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + S(5)*b*x)/(c + d*f**(S(2)*b*x + e)), x), x, c**(S(3)/2)*f**(a - S(5)*e/S(2))*atan(sqrt(d)*f**(b*x + e/S(2))/sqrt(c))/(b*d**(S(5)/2)*log(f)) - c*f**(a + b*x - S(2)*e)/(b*d**S(2)*log(f)) + f**(a + S(3)*b*x - e)/(S(3)*b*d*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(1)), x), x, atan(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(-exp(S(2)*x) + S(1)), x), x, atanh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x)/(-exp(S(2)*x) + S(1)), x), x, x*atanh(exp(x)) + polylog(S(2), -exp(x))/S(2) - polylog(S(2), exp(x))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(x)/(-exp(S(2)*x) + S(1)), x), x, x**S(2)*atanh(exp(x)) + x*polylog(S(2), -exp(x)) - x*polylog(S(2), exp(x)) - polylog(S(3), -exp(x)) + polylog(S(3), exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(x)/(-exp(S(2)*x) + S(1)), x), x, x**S(3)*atanh(exp(x)) + S(3)*x**S(2)*polylog(S(2), -exp(x))/S(2) - S(3)*x**S(2)*polylog(S(2), exp(x))/S(2) - S(3)*x*polylog(S(3), -exp(x)) + S(3)*x*polylog(S(3), exp(x)) + S(3)*polylog(S(4), -exp(x)) - S(3)*polylog(S(4), exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x/(a + b*f**(S(2)*x)), x), x, atan(sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x/(a + b*f**(S(2)*x)), x), x, x*atan(sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)) - I*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + I*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x**S(2)/(a + b*f**(S(2)*x)), x), x, x**S(2)*atan(sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)) - I*x*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(2)) + I*x*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(2)) + I*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - I*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x**S(3)/(a + b*f**(S(2)*x)), x), x, x**S(3)*atan(sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)) - S(3)*I*x**S(2)*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + S(3)*I*x**S(2)*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + S(3)*I*x*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - S(3)*I*x*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - S(3)*I*polylog(S(4), -I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(4)) + S(3)*I*polylog(S(4), I*sqrt(b)*f**x/sqrt(a))/(sqrt(a)*sqrt(b)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x/(a + b*f**(S(2)*x))**S(2), x), x, f**x/(S(2)*a*(a + b*f**(S(2)*x))*log(f)) + atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x/(a + b*f**(S(2)*x))**S(2), x), x, f**x*x/(S(2)*a*(a + b*f**(S(2)*x))*log(f)) + x*atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)) - atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) - I*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(4)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) + I*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(4)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x**S(2)/(a + b*f**(S(2)*x))**S(2), x), x, f**x*x**S(2)/(S(2)*a*(a + b*f**(S(2)*x))*log(f)) + x**S(2)*atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)) - x*atan(sqrt(b)*f**x/sqrt(a))/(a**(S(3)/2)*sqrt(b)*log(f)**S(2)) - I*x*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) + I*x*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) + I*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) - I*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) + I*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) - I*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x**S(3)/(a + b*f**(S(2)*x))**S(2), x), x, f**x*x**S(3)/(S(2)*a*(a + b*f**(S(2)*x))*log(f)) + x**S(3)*atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)) - S(3)*x**S(2)*atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) - S(3)*I*x**S(2)*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(4)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) + S(3)*I*x**S(2)*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(4)*a**(S(3)/2)*sqrt(b)*log(f)**S(2)) + S(3)*I*x*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) - S(3)*I*x*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) + S(3)*I*x*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) - S(3)*I*x*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(3)) - S(3)*I*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(4)) + S(3)*I*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(4)) - S(3)*I*polylog(S(4), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(4)) + S(3)*I*polylog(S(4), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(3)/2)*sqrt(b)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x/(a + b*f**(S(2)*x))**S(3), x), x, f**x*x/(S(4)*a*(a + b*f**(S(2)*x))**S(2)*log(f)) + S(3)*f**x*x/(S(8)*a**S(2)*(a + b*f**(S(2)*x))*log(f)) - f**x/(S(8)*a**S(2)*(a + b*f**(S(2)*x))*log(f)**S(2)) + S(3)*x*atan(sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)) - atan(sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(5)/2)*sqrt(b)*log(f)**S(2)) - S(3)*I*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(16)*a**(S(5)/2)*sqrt(b)*log(f)**S(2)) + S(3)*I*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(16)*a**(S(5)/2)*sqrt(b)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x*x**S(2)/(a + b*f**(S(2)*x))**S(3), x), x, f**x*x**S(2)/(S(4)*a*(a + b*f**(S(2)*x))**S(2)*log(f)) + S(3)*f**x*x**S(2)/(S(8)*a**S(2)*(a + b*f**(S(2)*x))*log(f)) - f**x*x/(S(4)*a**S(2)*(a + b*f**(S(2)*x))*log(f)**S(2)) + S(3)*x**S(2)*atan(sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)) - x*atan(sqrt(b)*f**x/sqrt(a))/(a**(S(5)/2)*sqrt(b)*log(f)**S(2)) - S(3)*I*x*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)**S(2)) + S(3)*I*x*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)**S(2)) + atan(sqrt(b)*f**x/sqrt(a))/(S(4)*a**(S(5)/2)*sqrt(b)*log(f)**S(3)) + I*polylog(S(2), -I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(5)/2)*sqrt(b)*log(f)**S(3)) - I*polylog(S(2), I*sqrt(b)*f**x/sqrt(a))/(S(2)*a**(S(5)/2)*sqrt(b)*log(f)**S(3)) + S(3)*I*polylog(S(3), -I*sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)**S(3)) - S(3)*I*polylog(S(3), I*sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a*f**x + b*f**(-x)), x), x, x*atan(sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)) - I*polylog(S(2), -I*sqrt(a)*f**x/sqrt(b))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + I*polylog(S(2), I*sqrt(a)*f**x/sqrt(b))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a*f**x + b*f**(-x)), x), x, x**S(2)*atan(sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)) - I*x*polylog(S(2), -I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(2)) + I*x*polylog(S(2), I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(2)) + I*polylog(S(3), -I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - I*polylog(S(3), I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)/(a*f**x + b*f**(-x)), x), x, x**S(3)*atan(sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)) - S(3)*I*x**S(2)*polylog(S(2), -I*sqrt(a)*f**x/sqrt(b))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + S(3)*I*x**S(2)*polylog(S(2), I*sqrt(a)*f**x/sqrt(b))/(S(2)*sqrt(a)*sqrt(b)*log(f)**S(2)) + S(3)*I*x*polylog(S(3), -I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - S(3)*I*x*polylog(S(3), I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(3)) - S(3)*I*polylog(S(4), -I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(4)) + S(3)*I*polylog(S(4), I*sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**x/(a + b*f**(S(2)*x))**S(3), x), x, f**x/(S(4)*a*(a + b*f**(S(2)*x))**S(2)*log(f)) + S(3)*f**x/(S(8)*a**S(2)*(a + b*f**(S(2)*x))*log(f)) + S(3)*atan(sqrt(b)*f**x/sqrt(a))/(S(8)*a**(S(5)/2)*sqrt(b)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(a*f**x + b*f**(-x)), x), x, atan(sqrt(a)*f**x/sqrt(b))/(sqrt(a)*sqrt(b)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*f**x + b*f**(-x))**(S(-2)), x), x, -S(1)/(S(2)*a*(a*f**(S(2)*x) + b)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a*f**x + b*f**(-x))**S(2), x), x, -x/(S(2)*a*(a*f**(S(2)*x) + b)*log(f)) + x/(S(2)*a*b*log(f)) - log(a*f**(S(2)*x) + b)/(S(4)*a*b*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a*f**x + b*f**(-x))**S(2), x), x, -x**S(2)/(S(2)*a*(a*f**(S(2)*x) + b)*log(f)) - x*log(S(1) + b*f**(-S(2)*x)/a)/(S(2)*a*b*log(f)**S(2)) + polylog(S(2), -b*f**(-S(2)*x)/a)/(S(4)*a*b*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)/(a*f**x + b*f**(-x))**S(2), x), x, -x**S(3)/(S(2)*a*(a*f**(S(2)*x) + b)*log(f)) - S(3)*x**S(2)*log(S(1) + b*f**(-S(2)*x)/a)/(S(4)*a*b*log(f)**S(2)) + S(3)*x*polylog(S(2), -b*f**(-S(2)*x)/a)/(S(4)*a*b*log(f)**S(3)) + S(3)*polylog(S(3), -b*f**(-S(2)*x)/a)/(S(8)*a*b*log(f)**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*f**x + b*f**(-x))**(S(-3)), x), x, -f**x/(S(4)*a*(a*f**(S(2)*x) + b)**S(2)*log(f)) + f**x/(S(8)*a*b*(a*f**(S(2)*x) + b)*log(f)) + atan(sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(a*f**x + b*f**(-x))**S(3), x), x, -f**x*x/(S(4)*a*(a*f**(S(2)*x) + b)**S(2)*log(f)) + f**x*x/(S(8)*a*b*(a*f**(S(2)*x) + b)*log(f)) + f**x/(S(8)*a*b*(a*f**(S(2)*x) + b)*log(f)**S(2)) + x*atan(sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)) - I*polylog(S(2), -I*sqrt(a)*f**x/sqrt(b))/(S(16)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(2)) + I*polylog(S(2), I*sqrt(a)*f**x/sqrt(b))/(S(16)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/(a*f**x + b*f**(-x))**S(3), x), x, -f**x*x**S(2)/(S(4)*a*(a*f**(S(2)*x) + b)**S(2)*log(f)) + f**x*x**S(2)/(S(8)*a*b*(a*f**(S(2)*x) + b)*log(f)) + f**x*x/(S(4)*a*b*(a*f**(S(2)*x) + b)*log(f)**S(2)) + x**S(2)*atan(sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)) - I*x*polylog(S(2), -I*sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(2)) + I*x*polylog(S(2), I*sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(2)) - atan(sqrt(a)*f**x/sqrt(b))/(S(4)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(3)) + I*polylog(S(3), -I*sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(3)) - I*polylog(S(3), I*sqrt(a)*f**x/sqrt(b))/(S(8)*a**(S(3)/2)*b**(S(3)/2)*log(f)**S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(a + b*x + c*x**S(2))*g**(d + e*x + f*x**S(2)), x), x, sqrt(pi)*f**a*g**d*exp(-(b*log(f) + e*log(g))**S(2)/(S(4)*(c*log(f) + f*log(g))))*erfi((b*log(f)/S(2) + e*log(g)/S(2) + x*(c*log(f) + f*log(g)))/sqrt(c*log(f) + f*log(g)))/(S(2)*sqrt(c*log(f) + f*log(g))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e*(c + d*x))*(G**(h*(f + g*x))*b + a)**n, x), x, F**(e*(c + d*x))*(G**(h*(f + g*x))*b + a)**(n + S(1))*hyper((S(1), d*e*log(F)/(g*h*log(G)) + n + S(1)), (d*e*log(F)/(g*h*log(G)) + S(1),), -G**(h*(f + g*x))*b/a)/(a*d*e*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e*(c + d*x))*H**(t*(r + s*x))/(F**(e*(c + d*x))*b + a), x), x, H**(t*(r + s*x))*hyper((S(1), -s*t*log(H)/(d*e*log(F))), (S(1) - s*t*log(H)/(d*e*log(F)),), -F**(-e*(c + d*x))*a/b)/(b*s*t*log(H)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(e*(d*x + f))*H**(t*(r + s*x))/(F**(e*(c + d*x))*b + a), x), x, F**(-e*(c - f))*H**(t*(r + s*x))*hyper((S(1), -s*t*log(H)/(d*e*log(F))), (S(1) - s*t*log(H)/(d*e*log(F)),), -F**(-e*(c + d*x))*a/b)/(b*s*t*log(H)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*exp(h + i*x))*(f + g*x)**S(3)/(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x)), x), x, S(6)*g**S(3)*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(4), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(4)*(b + sqrt(-S(4)*a*c + b**S(2)))) + S(6)*g**S(3)*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(4), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(4)*(b - sqrt(-S(4)*a*c + b**S(2)))) + S(6)*g**S(2)*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)*polylog(S(3), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(3)*(b + sqrt(-S(4)*a*c + b**S(2)))) + S(6)*g**S(2)*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)*polylog(S(3), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(3)*(b - sqrt(-S(4)*a*c + b**S(2)))) + S(3)*g*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(2)*polylog(S(2), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b + sqrt(-S(4)*a*c + b**S(2)))) + S(3)*g*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(2)*polylog(S(2), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b - sqrt(-S(4)*a*c + b**S(2)))) - (e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(3)*log(S(1) + (b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b + sqrt(-S(4)*a*c + b**S(2)))) - (e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(3)*log(S(1) + (b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b - sqrt(-S(4)*a*c + b**S(2)))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*exp(h + i*x))*(f + g*x)**S(2)/(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x)), x), x, S(2)*g**S(2)*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(3), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(3)*(b + sqrt(-S(4)*a*c + b**S(2)))) + S(2)*g**S(2)*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(3), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(3)*(b - sqrt(-S(4)*a*c + b**S(2)))) + S(2)*g*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)*polylog(S(2), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b + sqrt(-S(4)*a*c + b**S(2)))) + S(2)*g*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)*polylog(S(2), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b - sqrt(-S(4)*a*c + b**S(2)))) - (e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(2)*log(S(1) + (b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b + sqrt(-S(4)*a*c + b**S(2)))) - (e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)**S(2)*log(S(1) + (b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b - sqrt(-S(4)*a*c + b**S(2)))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*exp(h + i*x))*(f + g*x)/(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x)), x), x, g*(e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(2), -(b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b + sqrt(-S(4)*a*c + b**S(2)))) + g*(e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*polylog(S(2), -(b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i**S(2)*(b - sqrt(-S(4)*a*c + b**S(2)))) - (e + (b*e - S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(f + g*x)*log(S(1) + (b + sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b + sqrt(-S(4)*a*c + b**S(2)))) + (e + (-b*e + S(2)*c*d)/sqrt(-S(4)*a*c + b**S(2)))*(-f - g*x)*log(S(1) + (b - sqrt(-S(4)*a*c + b**S(2)))*exp(-h - i*x)/(S(2)*c))/(i*(b - sqrt(-S(4)*a*c + b**S(2)))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d + e*exp(h + i*x))/(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x)), x), x, d*x/a - d*log(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))/(S(2)*a*i) + (-S(2)*a*e + b*d)*atanh((b + S(2)*c*exp(h + i*x))/sqrt(-S(4)*a*c + b**S(2)))/(a*i*sqrt(-S(4)*a*c + b**S(2))), expand=True, _diff=True, _numerical=True)
# long time assert rubi_test(rubi_integrate((d + e*exp(h + i*x))/((f + g*x)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x), x, d*Integral(S(1)/((f + g*x)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x) + e*Integral(exp(h + i*x)/((f + g*x)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x), expand=True, _diff=True, _numerical=True)
# long time assert rubi_test(rubi_integrate((d + e*exp(h + i*x))/((f + g*x)**S(2)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x), x, d*Integral(S(1)/((f + g*x)**S(2)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x) + e*Integral(exp(h + i*x)/((f + g*x)**S(2)*(a + b*exp(h + i*x) + c*exp(S(2)*h + S(2)*i*x))), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*(-a*e*exp(c + d*x) + b*e)/(-S(2)*a*e*exp(c + d*x) - b*e*exp(S(2)*c + S(2)*d*x) + b*e), x), x, -x*log(S(1) + (a - sqrt(a**S(2) + b**S(2)))*exp(-c - d*x)/b)/(S(2)*d) - x*log(S(1) + (a + sqrt(a**S(2) + b**S(2)))*exp(-c - d*x)/b)/(S(2)*d) + polylog(S(2), -(a - sqrt(a**S(2) + b**S(2)))*exp(-c - d*x)/b)/(S(2)*d**S(2)) + polylog(S(2), -(a + sqrt(a**S(2) + b**S(2)))*exp(-c - d*x)/b)/(S(2)*d**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(a + b*x + c*x**S(3))*(b + S(3)*c*x**S(2)), x), x, F**(a + b*x + c*x**S(3))/log(F), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(F**(S(1)/(a + b*x + c*x**S(2)))*(b + S(2)*c*x)/(a + b*x + c*x**S(2))**S(2), x), x, -F**(S(1)/(a + b*x + c*x**S(2)))/log(F), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**m*exp(a + b*x + c*x**S(2)), x), x, (-a - b*x - c*x**S(2))**(-m)*(a + b*x + c*x**S(2))**m*Gamma(m + S(1), -a - b*x - c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**S(3)*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))**S(3)*exp(a + b*x + c*x**S(2)) - S(3)*(a + b*x + c*x**S(2))**S(2)*exp(a + b*x + c*x**S(2)) + S(6)*(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)) - S(6)*exp(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**S(2)*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))**S(2)*exp(a + b*x + c*x**S(2)) - S(2)*(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)) + S(2)*exp(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)) - exp(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2)), x), x, exp(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2)), x), x, Ei(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**S(2), x), x, Ei(a + b*x + c*x**S(2)) - exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**S(3), x), x, Ei(a + b*x + c*x**S(2))/S(2) - exp(a + b*x + c*x**S(2))/(S(2)*(a + b*x + c*x**S(2))) - exp(a + b*x + c*x**S(2))/(S(2)*(a + b*x + c*x**S(2))**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**(S(7)/2)*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))**(S(7)/2)*exp(a + b*x + c*x**S(2)) - S(7)*(a + b*x + c*x**S(2))**(S(5)/2)*exp(a + b*x + c*x**S(2))/S(2) + S(35)*(a + b*x + c*x**S(2))**(S(3)/2)*exp(a + b*x + c*x**S(2))/S(4) - S(105)*sqrt(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2))/S(8) + S(105)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(16), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**(S(5)/2)*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))**(S(5)/2)*exp(a + b*x + c*x**S(2)) - S(5)*(a + b*x + c*x**S(2))**(S(3)/2)*exp(a + b*x + c*x**S(2))/S(2) + S(15)*sqrt(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2))/S(4) - S(15)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(8), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*(a + b*x + c*x**S(2))**(S(3)/2)*exp(a + b*x + c*x**S(2)), x), x, (a + b*x + c*x**S(2))**(S(3)/2)*exp(a + b*x + c*x**S(2)) - S(3)*sqrt(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2))/S(2) + S(3)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*sqrt(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)), x), x, sqrt(a + b*x + c*x**S(2))*exp(a + b*x + c*x**S(2)) - sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/sqrt(a + b*x + c*x**S(2)), x), x, sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**(S(3)/2), x), x, S(2)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2))) - S(2)*exp(a + b*x + c*x**S(2))/sqrt(a + b*x + c*x**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**(S(5)/2), x), x, S(4)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(3) - S(4)*exp(a + b*x + c*x**S(2))/(S(3)*sqrt(a + b*x + c*x**S(2))) - S(2)*exp(a + b*x + c*x**S(2))/(S(3)*(a + b*x + c*x**S(2))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**(S(7)/2), x), x, S(8)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(15) - S(8)*exp(a + b*x + c*x**S(2))/(S(15)*sqrt(a + b*x + c*x**S(2))) - S(4)*exp(a + b*x + c*x**S(2))/(S(15)*(a + b*x + c*x**S(2))**(S(3)/2)) - S(2)*exp(a + b*x + c*x**S(2))/(S(5)*(a + b*x + c*x**S(2))**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b + S(2)*c*x)*exp(a + b*x + c*x**S(2))/(a + b*x + c*x**S(2))**(S(9)/2), x), x, S(16)*sqrt(pi)*erfi(sqrt(a + b*x + c*x**S(2)))/S(105) - S(16)*exp(a + b*x + c*x**S(2))/(S(105)*sqrt(a + b*x + c*x**S(2))) - S(8)*exp(a + b*x + c*x**S(2))/(S(105)*(a + b*x + c*x**S(2))**(S(3)/2)) - S(4)*exp(a + b*x + c*x**S(2))/(S(35)*(a + b*x + c*x**S(2))**(S(5)/2)) - S(2)*exp(a + b*x + c*x**S(2))/(S(7)*(a + b*x + c*x**S(2))**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-x)/sqrt(S(1) - exp(-S(2)*x)), x), x, -asin(exp(-x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(4)), x), x, atan(exp(x)/S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(-exp(S(2)*x) + S(1)), x), x, atanh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(-S(4)*exp(S(2)*x) + S(3)), x), x, sqrt(S(3))*atanh(S(2)*sqrt(S(3))*exp(x)/S(3))/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(-S(4)*exp(S(2)*x) + S(3))*exp(x), x), x, sqrt(-S(4)*exp(S(2)*x) + S(3))*exp(x)/S(2) + S(3)*asin(S(2)*sqrt(S(3))*exp(x)/S(3))/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(x**S(2)), x), x, x**S(2)*exp(x**S(2))/S(2) - exp(x**S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(-exp(S(2)*x) + S(1))*exp(x), x), x, sqrt(-exp(S(2)*x) + S(1))*exp(x)/S(2) + asin(exp(x))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/sqrt(exp(S(2)*x) + exp(x) + S(1)), x), x, asinh(sqrt(S(3))*(S(2)*exp(x) + S(1))/S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(-4)), x), x, -atanh(exp(x)/S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(-x**S(2) + S(2)), x), x, -exp(-x**S(2) + S(2))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(-x**E + exp(x), x), x, -x**(E + S(1))/(E + S(1)) + exp(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(S(2)*x) + S(-1))/(exp(S(2)*x) + S(3)), x), x, -x/S(3) + S(2)*log(exp(S(2)*x) + S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/sqrt(-exp(S(2)*x) + S(1)), x), x, asin(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(exp(S(4)*x) + S(1)), x), x, atan(exp(S(2)*x))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(2)*x) - S(3)*exp(x)), x), x, -x/S(9) + log(-exp(x) + S(3))/S(9) + exp(-x)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + S(-2))*exp(x)/(exp(x) + S(1)), x), x, exp(x) - S(3)*log(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(-1)), x), x, -atanh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(1)), x), x, atan(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + exp(-x))/(exp(x) - exp(-x)), x), x, log(-exp(x) + exp(-x)), expand=True, _diff=True, _numerical=True) or rubi_test(rubi_integrate((exp(x) + exp(-x))/(exp(x) - exp(-x)), x), x, -x + log(-exp(S(2)*x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) - exp(-x))/(exp(x) + exp(-x)), x), x, log(exp(x) + exp(-x)), expand=True, _diff=True, _numerical=True) or rubi_test(rubi_integrate((exp(x) - exp(-x))/(exp(x) + exp(-x)), x), x, -x + log(exp(S(2)*x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(S(2)*x) + exp(-S(2)*x))/(exp(S(2)*x) - exp(-S(2)*x)), x), x, -x + log(-exp(S(4)*x) + S(1))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/sqrt(exp(S(2)*x) + S(1)), x), x, asinh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(sqrt(x + S(4)))/sqrt(x + S(4)), x), x, S(2)*exp(sqrt(x + S(4))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/sqrt(exp(S(2)*x**S(2)) + S(-1)), x), x, atan(sqrt(exp(S(2)*x**S(2)) + S(-1)))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(S(2)*x) + S(9))*exp(x), x), x, sqrt(exp(S(2)*x) + S(9))*exp(x)/S(2) + S(9)*asinh(exp(x)/S(3))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(exp(S(2)*x) + S(1))*exp(x), x), x, sqrt(exp(S(2)*x) + S(1))*exp(x)/S(2) + asinh(exp(x))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x**S(2))/(exp(S(2)*x**S(2)) + S(1)), x), x, atan(exp(x**S(2)))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(x**(S(3)/2)), x), x, S(2)*x**(S(3)/2)*exp(x**(S(3)/2))/S(3) - S(2)*exp(x**(S(3)/2))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/sqrt(exp(S(2)*x) + S(-3)), x), x, atanh(exp(x)/sqrt(exp(S(2)*x) + S(-3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(-exp(S(2)*x) + S(16)), x), x, atanh(exp(x)/S(4))/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(5)*x)/(exp(S(10)*x) + S(1)), x), x, atan(exp(S(5)*x))/S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(4)*x)/sqrt(exp(S(8)*x) + S(16)), x), x, asinh(exp(S(4)*x)/S(4))/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(S(4)*x**S(3))*cos(S(7)*x**S(3)), x), x, S(7)*exp(S(4)*x**S(3))*sin(S(7)*x**S(3))/S(195) + S(4)*exp(S(4)*x**S(3))*cos(S(7)*x**S(3))/S(195), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x**S(2) + S(1)), x), x, exp(x**S(2) + S(1))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(x**S(3) + S(1)), x), x, exp(x**S(3) + S(1))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(sqrt(x))/sqrt(x), x), x, S(2)*exp(sqrt(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x**(S(1)/3))/x**(S(2)/3), x), x, S(3)*exp(x**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(5) + S(2)*x**S(3) + S(-8))*exp(S(3)*x), x), x, x**S(5)*exp(S(3)*x)/S(3) - S(5)*x**S(4)*exp(S(3)*x)/S(9) + S(38)*x**S(3)*exp(S(3)*x)/S(27) - S(38)*x**S(2)*exp(S(3)*x)/S(27) + S(76)*x*exp(S(3)*x)/S(81) - S(724)*exp(S(3)*x)/S(243), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x + exp(x))**S(2), x), x, x**S(3)/S(3) + S(2)*x*exp(x) + exp(S(2)*x)/S(2) - S(2)*exp(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(S(3)*x) + exp(S(2)*x) + exp(x))*exp(-S(4)*x), x), x, -exp(-x) - exp(-S(2)*x)/S(2) - exp(-S(3)*x)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(2)*exp(x) + S(1)), x), x, -S(1)/(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-x)*cos(S(3)*x), x), x, S(3)*exp(-x)*sin(S(3)*x)/S(10) - exp(-x)*cos(S(3)*x)/S(10), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(exp(S(2)*x) + S(3)*exp(x) + S(2)), x), x, -log(exp(x) + S(1)) + S(2)*log(exp(x) + S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(exp(x) + S(1)), x), x, exp(x) - log(exp(x) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(3)*x)*cos(S(5)*x), x), x, S(5)*exp(S(3)*x)*sin(S(5)*x)/S(34) + S(3)*exp(S(3)*x)*cos(S(5)*x)/S(34), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)*sech(exp(x)), x), x, atan(sinh(exp(x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-x)/(S(2)*exp(x) + S(1)), x), x, -S(2)*x + S(2)*log(S(2)*exp(x) + S(1)) - exp(-x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)*cos(S(3)*x + S(4)), x), x, S(3)*exp(x)*sin(S(3)*x + S(4))/S(10) + exp(x)*cos(S(3)*x + S(4))/S(10), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*(exp(x) + exp(-x)), x), x, x*exp(x) - x*exp(-x) - exp(x) - exp(-x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) + S(3)*exp(x) + S(2)), x), x, -S(2)*atanh(S(2)*exp(x) + S(3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(exp(x) + S(1))**(S(1)/3), x), x, S(3)*(exp(x) + S(1))**(S(5)/3)/S(5) - S(3)*(exp(x) + S(1))**(S(2)/3)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(2)*x)/(exp(x) + S(1))**(S(1)/4), x), x, S(4)*(exp(x) + S(1))**(S(7)/4)/S(7) - S(4)*(exp(x) + S(1))**(S(3)/4)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((S(2)*exp(S(2)*x) - exp(x))/sqrt(S(3)*exp(S(2)*x) - S(6)*exp(x) + S(-1)), x), x, S(2)*sqrt(S(3)*exp(S(2)*x) - S(6)*exp(x) + S(-1))/S(3) - sqrt(S(3))*atanh(sqrt(S(3))*(-exp(x) + S(1))/sqrt(S(3)*exp(S(2)*x) - S(6)*exp(x) + S(-1)))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(2) - S(5)*x)*exp(x), x), x, x**S(2)*exp(x) - S(7)*x*exp(x) + S(7)*exp(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(2) - x)*exp(S(3)*x), x), x, x**S(2)*exp(S(3)*x)/S(3) - S(5)*x*exp(S(3)*x)/S(9) + S(5)*exp(S(3)*x)/S(27), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**(S(2)*x)*(log(x) + S(1))*exp(x**x), x), x, (x**x + S(-1))*exp(x**x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(S(7)*x) + exp(S(5)*x))/(exp(x) + exp(-x)), x), x, exp(S(6)*x)/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**(S(-2) - S(1)/x)*(-log(x) + S(1)), x), x, -x**(-S(1)/x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(x))**S(2), x), x, a**S(2)*x + S(2)*a*b*exp(x) + b**S(2)*exp(S(2)*x)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(x))**S(3), x), x, a**S(3)*x + S(3)*a**S(2)*b*exp(x) + S(3)*a*b**S(2)*exp(S(2)*x)/S(2) + b**S(3)*exp(S(3)*x)/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*exp(x))**S(4), x), x, a**S(4)*x + S(4)*a**S(3)*b*exp(x) + S(3)*a**S(2)*b**S(2)*exp(S(2)*x) + S(4)*a*b**S(3)*exp(S(3)*x)/S(3) + b**S(4)*exp(S(4)*x)/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(a + b*exp(c + d*x)), x), x, -S(2)*atanh(sqrt(a + b*exp(c + d*x))/sqrt(a))/(sqrt(a)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(-a + b*exp(c + d*x)), x), x, S(2)*atan(sqrt(-a + b*exp(c + d*x))/sqrt(a))/(sqrt(a)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(a + b*exp(c + d*x)), x), x, -S(2)*sqrt(a)*atanh(sqrt(a + b*exp(c + d*x))/sqrt(a))/d + S(2)*sqrt(a + b*exp(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(-a + b*exp(c + d*x)), x), x, -S(2)*sqrt(a)*atan(sqrt(-a + b*exp(c + d*x))/sqrt(a))/d + S(2)*sqrt(-a + b*exp(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(6)*x)*sin(S(3)*x), x), x, S(2)*exp(S(6)*x)*sin(S(3)*x)/S(15) - exp(S(6)*x)*cos(S(3)*x)/S(15), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(3)*x)/(exp(S(2)*x) + S(1)), x), x, exp(x) - atan(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(3)*x)/(exp(S(2)*x) + S(-1)), x), x, exp(x) - atanh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(-x)/sqrt(exp(S(2)*x) + S(1)), x), x, -sqrt(exp(S(2)*x) + S(1))*exp(-x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(exp(S(2)*x) - S(8)*exp(x) + S(-1)), x), x, sqrt(S(17))*atanh(sqrt(S(17))*(-exp(x) + S(4))/S(17))/S(17), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(S(7)*x), x), x, x**S(3)*exp(S(7)*x)/S(7) - S(3)*x**S(2)*exp(S(7)*x)/S(49) + S(6)*x*exp(S(7)*x)/S(343) - S(6)*exp(S(7)*x)/S(2401), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(-S(2)*x + S(8)), x), x, -x**S(3)*exp(-S(2)*x + S(8))/S(2) - S(3)*x**S(2)*exp(-S(2)*x + S(8))/S(4) - S(3)*x*exp(-S(2)*x + S(8))/S(4) - S(3)*exp(-S(2)*x + S(8))/S(8), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(-exp(S(2)*x) + S(9))*exp(x), x), x, sqrt(-exp(S(2)*x) + S(9))*exp(x)/S(2) + S(9)*asin(exp(x)/S(3))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(-exp(S(2)*x) + S(9))*exp(S(6)*x), x), x, -(-exp(S(2)*x) + S(9))**(S(7)/2)/S(7) + S(18)*(-exp(S(2)*x) + S(9))**(S(5)/2)/S(5) - S(27)*(-exp(S(2)*x) + S(9))**(S(3)/2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(6)*x)/(-exp(x) + S(9))**(S(5)/2), x), x, S(2)*(-exp(x) + S(9))**(S(7)/2)/S(7) - S(18)*(-exp(x) + S(9))**(S(5)/2) + S(540)*(-exp(x) + S(9))**(S(3)/2) - S(14580)*sqrt(-exp(x) + S(9)) - S(65610)/sqrt(-exp(x) + S(9)) + S(39366)/(-exp(x) + S(9))**(S(3)/2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*(-S(7)*exp(x**S(4)) + S(2))**S(5), x), x, S(8)*x**S(4) - S(16807)*exp(S(5)*x**S(4))/S(20) + S(12005)*exp(S(4)*x**S(4))/S(8) - S(3430)*exp(S(3)*x**S(4))/S(3) + S(490)*exp(S(2)*x**S(4)) - S(140)*exp(x**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*sqrt(-exp(S(2)*x**S(2)) + S(1))*exp(x**S(2)), x), x, sqrt(-exp(S(2)*x**S(2)) + S(1))*exp(x**S(2))/S(4) + asin(exp(x**S(2)))/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*(-exp(S(4)*x**S(3)) + S(1))**S(2)*exp(x**S(3)), x), x, exp(S(9)*x**S(3))/S(27) - S(2)*exp(S(5)*x**S(3))/S(15) + exp(x**S(3))/S(3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x + exp(x)), x), x, exp(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x + exp(x) + exp(exp(x))), x), x, exp(exp(exp(x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + exp(-x))**S(2), x), x, S(2)*x + exp(S(2)*x)/S(2) - exp(-S(2)*x)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(x) + exp(-x)), x), x, atan(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + exp(-x))**(S(-2)), x), x, -S(1)/(S(2)*(exp(S(2)*x) + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(x) - exp(-x)), x), x, -atanh(exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) - exp(-x))**(S(-2)), x), x, S(1)/(S(2)*(-exp(S(2)*x) + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) - exp(-x))**S(2)*exp(x), x), x, exp(S(3)*x)/S(3) - S(2)*exp(x) - exp(-x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) - exp(-x))**S(3)*exp(x), x), x, S(3)*x + exp(S(4)*x)/S(4) - S(3)*exp(S(2)*x)/S(2) + exp(-S(2)*x)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((S(4)**x + S(1))/(S(2)**x + S(1)), x), x, S(2)**x/log(S(2)) + x - S(2)*log(S(2)**x + S(1))/log(S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((S(4)**x + S(1))/(S(1) + S(2)**(-x)), x), x, -S(2)**x/log(S(2)) + S(2)**(S(2)*x + S(-1))/log(S(2)) + S(2)*log(S(2)**x + S(1))/log(S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(-S(2)*a*exp((a + x)**S(2))/x + exp((a + x)**S(2))/x**S(2), x), x, sqrt(pi)*erfi(a + x) - exp((a + x)**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(8) + x**S(6) + x**S(4))*exp(-x**S(2)), x), x, -x**S(7)*exp(-x**S(2))/S(2) - S(9)*x**S(5)*exp(-x**S(2))/S(4) - S(49)*x**S(3)*exp(-x**S(2))/S(8) - S(147)*x*exp(-x**S(2))/S(16) + S(147)*sqrt(pi)*erf(x)/S(32), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(exp(S(3)*x) - exp(x)), x), x, -atanh(exp(x)) + exp(-x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(2) + x + S(-5))*exp(x)/(x + S(-1))**S(2), x), x, exp(x) - S(3)*exp(x)/(-x + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(3)*exp(x**S(2))/(x**S(2) + S(1))**S(2), x), x, exp(x**S(2))/(S(2)*(x**S(2) + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(S(3)*x)/sqrt(S(16)*exp(S(2)*x) + S(25)), x), x, sqrt(S(16)*exp(S(2)*x) + S(25))*exp(x)/S(32) - S(25)*asinh(S(4)*exp(x)/S(5))/S(128), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + S(1))/sqrt(x + exp(x)), x), x, S(2)*sqrt(x + exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) + S(1))/(x + exp(x)), x), x, log(x + exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x**S(2))/x**S(2), x), x, sqrt(pi)*erfi(x) - exp(x**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((S(4)*x**S(4) + S(1))*exp(x**S(2))/x**S(2), x), x, S(2)*x*exp(x**S(2)) - exp(x**S(2))/x, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**S(2)*sqrt(f**x), x), x, S(16)*b**S(2)*sqrt(f**x)/log(f)**S(3) - S(8)*b*(a + b*x)*sqrt(f**x)/log(f)**S(2) + S(2)*(a + b*x)**S(2)*sqrt(f**x)/log(f), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(3)**(x**S(2) + S(1))*x, x), x, S(3)**(x**S(2) + S(1))/(S(2)*log(S(3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(sqrt(x))/sqrt(x), x), x, S(2)**(sqrt(x) + S(1))/log(S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**(S(1)/x)/x**S(2), x), x, -S(2)**(S(1)/x)/log(S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)**x + S(2)**(-x), x), x, S(2)**x/log(S(2)) - S(2)**(-x)/log(S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((x**S(2) - S(3)*x + S(2))*exp(-S(4)*x), x), x, -x**S(2)*exp(-S(4)*x)/S(4) + S(5)*x*exp(-S(4)*x)/S(8) - S(11)*exp(-S(4)*x)/S(32), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(k**(x/S(2)) + x**(sqrt(k)), x), x, S(2)*k**(x/S(2))/log(k) + x**(sqrt(k) + S(1))/(sqrt(k) + S(1)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(10)**(sqrt(x))/sqrt(x), x), x, S(2)**(sqrt(x) + S(1))*S(5)**(sqrt(x))/log(S(10)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/sqrt(x + exp(x)) + S(1)/sqrt(x + exp(x)), x), x, S(2)*sqrt(x + exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*(exp(x) + S(1))/sqrt(x + exp(x)) + S(2)*sqrt(x + exp(x)), x), x, S(2)*x*sqrt(x + exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x)/sqrt(x + exp(x)) + x/sqrt(x + exp(x)) + S(2)*sqrt(x + exp(x)), x), x, S(2)*x*sqrt(x + exp(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*(exp(x) + S(1))/sqrt(x + exp(x)), x), x, S(2)*x*sqrt(x + exp(x)) - S(2)*Integral(sqrt(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x)/sqrt(x + exp(x)) + x/sqrt(x + exp(x)), x), x, S(2)*x*sqrt(x + exp(x)) - S(2)*Integral(sqrt(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp(x)/sqrt(x + exp(x)), x), x, S(2)*x*sqrt(x + exp(x)) + S(2)*sqrt(x + exp(x)) - Integral(S(1)/sqrt(x + exp(x)), x) - S(3)*Integral(sqrt(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*(S(3)*x**S(2) + S(5)*exp(x))/(S(5)*sqrt(x**S(3) + S(5)*exp(x))) + S(4)*x*sqrt(x**S(3) + S(5)*exp(x))/S(5), x), x, S(2)*x**S(2)*sqrt(x**S(3) + S(5)*exp(x))/S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)*exp(x)/sqrt(x**S(3) + S(5)*exp(x)), x), x, S(2)*x**S(2)*sqrt(x**S(3) + S(5)*exp(x))/S(5) - S(4)*Integral(x*sqrt(x**S(3) + S(5)*exp(x)), x)/S(5) - S(3)*Integral(x**S(4)/sqrt(x**S(3) + S(5)*exp(x)), x)/S(5), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((-exp(x) + S(-1))/(x + exp(x))**(S(1)/3), x), x, -S(3)*(x + exp(x))**(S(2)/3)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(x + exp(x))**(S(1)/3) - (x + exp(x))**(S(2)/3) - S(1)/(x + exp(x))**(S(1)/3), x), x, -S(3)*(x + exp(x))**(S(2)/3)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(x + exp(x))**(S(1)/3), x), x, -S(3)*(x + exp(x))**(S(2)/3)/S(2) + Integral((x + exp(x))**(S(-1)/3), x) + Integral((x + exp(x))**(S(2)/3), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((S(5)*x + (S(2)*x + S(3))*exp(x))/(x + exp(x))**(S(1)/3), x), x, S(3)*x*(x + exp(x))**(S(2)/3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(2)*x*exp(x)/(x + exp(x))**(S(1)/3) + S(2)*x/(x + exp(x))**(S(1)/3) + S(3)*(x + exp(x))**(S(2)/3), x), x, S(3)*x*(x + exp(x))**(S(2)/3), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((exp(x) - exp(-x))*(exp(x) + exp(-x))**S(2)*exp(x), x), x, -x + exp(S(4)*x)/S(4) + exp(S(2)*x)/S(2) + exp(-S(2)*x)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x/(x + exp(x)), x), x, Integral(x/(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**S(2)/sqrt(x + exp(x)), x), x, Integral(x**S(2)/sqrt(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(x + exp(x)), x), x, Integral(exp(x)/(x + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(x)/(x**S(2) + exp(x)), x), x, Integral(exp(x)/(x**S(2) + exp(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f(x)/(x + f(x)), x), x, x - Integral(x/(x + f(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f(x)/(x**S(2) + f(x)), x), x, x - Integral(x**S(2)/(x**S(2) + f(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f(x)/(x + f(x))**S(2), x), x, -Integral(x/(x + f(x))**S(2), x) + Integral(S(1)/(x + f(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f(x)/(x**S(2) + f(x))**S(2), x), x, -Integral(x**S(2)/(x**S(2) + f(x))**S(2), x) + Integral(S(1)/(x**S(2) + f(x)), x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((F**(c + d*x)*a)**m*(F**(e + f*x)*b)**n, x), x, (F**(c + d*x)*a)**m*(F**(e + f*x)*b)**n/((d*m + f*n)*log(F)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(exp(a + b*x**n + c + d*x**n), x), x, -x*(x**n*(-b - d))**(-S(1)/n)*Gamma(S(1)/n, x**n*(-b - d))*exp(a + c)/n, expand=True, _diff=True, _numerical=True)
# (difference in simplify `exp(a*log(f) + c*log(g))` converts to `f**a*g**c` in mathematica)
# failing assert rubi_test(rubi_integrate(f**(a + b*x**n)*g**(c + d*x**n), x), x, -f**a*g**c*x*(-x**n*(b*log(f) + d*log(g)))**(-S(1)/n)*Gamma(S(1)/n, -x**n*(b*log(f) + d*log(g)))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x**m*exp(x**n), x), x, -x**(m + S(1))*(-x**n)**(-(m + S(1))/n)*Gamma((m + S(1))/n, -x**n)/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**(x**n)*x**m, x), x, -x**(m + S(1))*(-x**n*log(f))**(-(m + S(1))/n)*Gamma((m + S(1))/n, -x**n*log(f))/n, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a + b*x)**m*exp((a + b*x)**n), x), x, -(-(a + b*x)**n)**(-(m + S(1))/n)*(a + b*x)**(m + S(1))*Gamma((m + S(1))/n, -(a + b*x)**n)/(b*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(f**((a + b*x)**n)*(a + b*x)**m, x), x, -(-(a + b*x)**n*log(f))**(-(m + S(1))/n)*(a + b*x)**(m + S(1))*Gamma((m + S(1))/n, -(a + b*x)**n*log(f))/(b*n), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(x*exp((a + b*x)**S(3)), x), x, a*(a + b*x)*Gamma(S(1)/3, -(a + b*x)**S(3))/(S(3)*b**S(2)*(-(a + b*x)**S(3))**(S(1)/3)) - (a + b*x)**S(2)*Gamma(S(2)/3, -(a + b*x)**S(3))/(S(3)*b**S(2)*(-(a + b*x)**S(3))**(S(2)/3)), expand=True, _diff=True, _numerical=True)
| 275.778022
| 1,673
| 0.492082
| 64,011
| 250,958
| 1.875303
| 0.003124
| 0.072259
| 0.038237
| 0.15045
| 0.987096
| 0.981381
| 0.973392
| 0.96058
| 0.943036
| 0.926075
| 0
| 0.04798
| 0.103392
| 250,958
| 909
| 1,674
| 276.081408
| 0.485505
| 0.020398
| 0
| 0.020737
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| 0
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| 0.014977
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0
| 11
|
d5d715c2c7e546a892d4028e671a9bd265d0b85b
| 39,354
|
py
|
Python
|
sdk/python/pulumi_aws/iam/role.py
|
jen20/pulumi-aws
|
172e00c642adc03238f89cc9c5a16b914a77c2b1
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/iam/role.py
|
jen20/pulumi-aws
|
172e00c642adc03238f89cc9c5a16b914a77c2b1
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/iam/role.py
|
jen20/pulumi-aws
|
172e00c642adc03238f89cc9c5a16b914a77c2b1
|
[
"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, _tables
from . import outputs
from ._inputs import *
__all__ = ['RoleArgs', 'Role']
@pulumi.input_type
class RoleArgs:
def __init__(__self__, *,
assume_role_policy: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None,
force_detach_policies: Optional[pulumi.Input[bool]] = None,
inline_policies: Optional[pulumi.Input[Sequence[pulumi.Input['RoleInlinePolicyArgs']]]] = None,
managed_policy_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
max_session_duration: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
name_prefix: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
permissions_boundary: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a Role resource.
:param pulumi.Input[str] assume_role_policy: Policy that grants an entity permission to assume the role.
:param pulumi.Input[str] description: Description of the role.
:param pulumi.Input[bool] force_detach_policies: Whether to force detaching any policies the role has before destroying it. Defaults to `false`.
:param pulumi.Input[Sequence[pulumi.Input['RoleInlinePolicyArgs']]] inline_policies: Configuration block defining an exclusive set of IAM inline policies associated with the IAM role. Defined below. If no blocks are configured, the provider will ignore any managing any inline policies in this resource. Configuring one empty block (i.e., `inline_policy {}`) will cause the provider to remove _all_ inline policies.
:param pulumi.Input[Sequence[pulumi.Input[str]]] managed_policy_arns: Set of exclusive IAM managed policy ARNs to attach to the IAM role. If this attribute is not configured, the provider will ignore policy attachments to this resource. When configured, the provider will align the role's managed policy attachments with this set by attaching or detaching managed policies. Configuring an empty set (i.e., `managed_policy_arns = []`) will cause the provider to remove _all_ managed policy attachments.
:param pulumi.Input[int] max_session_duration: Maximum session duration (in seconds) that you want to set for the specified role. If you do not specify a value for this setting, the default maximum of one hour is applied. This setting can have a value from 1 hour to 12 hours.
:param pulumi.Input[str] name: Name of the role policy.
:param pulumi.Input[str] name_prefix: Creates a unique friendly name beginning with the specified prefix. Conflicts with `name`.
:param pulumi.Input[str] path: Path to the role. See [IAM Identifiers](https://docs.aws.amazon.com/IAM/latest/UserGuide/Using_Identifiers.html) for more information.
:param pulumi.Input[str] permissions_boundary: ARN of the policy that is used to set the permissions boundary for the role.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of tags for the IAM role
"""
pulumi.set(__self__, "assume_role_policy", assume_role_policy)
if description is not None:
pulumi.set(__self__, "description", description)
if force_detach_policies is not None:
pulumi.set(__self__, "force_detach_policies", force_detach_policies)
if inline_policies is not None:
pulumi.set(__self__, "inline_policies", inline_policies)
if managed_policy_arns is not None:
pulumi.set(__self__, "managed_policy_arns", managed_policy_arns)
if max_session_duration is not None:
pulumi.set(__self__, "max_session_duration", max_session_duration)
if name is not None:
pulumi.set(__self__, "name", name)
if name_prefix is not None:
pulumi.set(__self__, "name_prefix", name_prefix)
if path is not None:
pulumi.set(__self__, "path", path)
if permissions_boundary is not None:
pulumi.set(__self__, "permissions_boundary", permissions_boundary)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter(name="assumeRolePolicy")
def assume_role_policy(self) -> pulumi.Input[str]:
"""
Policy that grants an entity permission to assume the role.
"""
return pulumi.get(self, "assume_role_policy")
@assume_role_policy.setter
def assume_role_policy(self, value: pulumi.Input[str]):
pulumi.set(self, "assume_role_policy", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
Description of the role.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="forceDetachPolicies")
def force_detach_policies(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to force detaching any policies the role has before destroying it. Defaults to `false`.
"""
return pulumi.get(self, "force_detach_policies")
@force_detach_policies.setter
def force_detach_policies(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "force_detach_policies", value)
@property
@pulumi.getter(name="inlinePolicies")
def inline_policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['RoleInlinePolicyArgs']]]]:
"""
Configuration block defining an exclusive set of IAM inline policies associated with the IAM role. Defined below. If no blocks are configured, the provider will ignore any managing any inline policies in this resource. Configuring one empty block (i.e., `inline_policy {}`) will cause the provider to remove _all_ inline policies.
"""
return pulumi.get(self, "inline_policies")
@inline_policies.setter
def inline_policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['RoleInlinePolicyArgs']]]]):
pulumi.set(self, "inline_policies", value)
@property
@pulumi.getter(name="managedPolicyArns")
def managed_policy_arns(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
Set of exclusive IAM managed policy ARNs to attach to the IAM role. If this attribute is not configured, the provider will ignore policy attachments to this resource. When configured, the provider will align the role's managed policy attachments with this set by attaching or detaching managed policies. Configuring an empty set (i.e., `managed_policy_arns = []`) will cause the provider to remove _all_ managed policy attachments.
"""
return pulumi.get(self, "managed_policy_arns")
@managed_policy_arns.setter
def managed_policy_arns(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "managed_policy_arns", value)
@property
@pulumi.getter(name="maxSessionDuration")
def max_session_duration(self) -> Optional[pulumi.Input[int]]:
"""
Maximum session duration (in seconds) that you want to set for the specified role. If you do not specify a value for this setting, the default maximum of one hour is applied. This setting can have a value from 1 hour to 12 hours.
"""
return pulumi.get(self, "max_session_duration")
@max_session_duration.setter
def max_session_duration(self, value: Optional[pulumi.Input[int]]):
pulumi.set(self, "max_session_duration", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Name of the role policy.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="namePrefix")
def name_prefix(self) -> Optional[pulumi.Input[str]]:
"""
Creates a unique friendly name beginning with the specified prefix. Conflicts with `name`.
"""
return pulumi.get(self, "name_prefix")
@name_prefix.setter
def name_prefix(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name_prefix", value)
@property
@pulumi.getter
def path(self) -> Optional[pulumi.Input[str]]:
"""
Path to the role. See [IAM Identifiers](https://docs.aws.amazon.com/IAM/latest/UserGuide/Using_Identifiers.html) for more information.
"""
return pulumi.get(self, "path")
@path.setter
def path(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "path", value)
@property
@pulumi.getter(name="permissionsBoundary")
def permissions_boundary(self) -> Optional[pulumi.Input[str]]:
"""
ARN of the policy that is used to set the permissions boundary for the role.
"""
return pulumi.get(self, "permissions_boundary")
@permissions_boundary.setter
def permissions_boundary(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "permissions_boundary", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Key-value mapping of tags for the IAM role
"""
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 Role(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
assume_role_policy: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
force_detach_policies: Optional[pulumi.Input[bool]] = None,
inline_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RoleInlinePolicyArgs']]]]] = None,
managed_policy_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
max_session_duration: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
name_prefix: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
permissions_boundary: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None,
__name__=None,
__opts__=None):
"""
Provides an IAM role.
> **NOTE:** If policies are attached to the role via the `iam.PolicyAttachment` resource and you are modifying the role `name` or `path`, the `force_detach_policies` argument must be set to `true` and applied before attempting the operation otherwise you will encounter a `DeleteConflict` error. The `iam.RolePolicyAttachment` resource does not have this requirement.
> **NOTE:** If you use this resource's `managed_policy_arns` argument or `inline_policy` configuration blocks, this resource will take over exclusive management of the role's respective policy types (e.g., both policy types if both arguments are used). These arguments are incompatible with other ways of managing a role's policies, such as `iam.PolicyAttachment`, `iam.RolePolicyAttachment`, and `iam.RolePolicy`. If you attempt to manage a role's policies by multiple means, you will get resource cycling and/or errors.
## Example Usage
### Basic Example
```python
import pulumi
import json
import pulumi_aws as aws
test_role = aws.iam.Role("testRole",
assume_role_policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": "sts:AssumeRole",
"Effect": "Allow",
"Sid": "",
"Principal": {
"Service": "ec2.amazonaws.com",
},
}],
}),
tags={
"tag-key": "tag-value",
})
```
### Example of Using Data Source for Assume Role Policy
```python
import pulumi
import pulumi_aws as aws
instance_assume_role_policy = aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs(
actions=["sts:AssumeRole"],
principals=[aws.iam.GetPolicyDocumentStatementPrincipalArgs(
type="Service",
identifiers=["ec2.amazonaws.com"],
)],
)])
instance = aws.iam.Role("instance",
path="/system/",
assume_role_policy=instance_assume_role_policy.json)
```
### Example of Exclusive Inline Policies
This example creates an IAM role with two inline IAM policies. If someone adds another inline policy out-of-band, on the next apply, the provider will remove that policy. If someone deletes these policies out-of-band, the provider will recreate them.
```python
import pulumi
import json
import pulumi_aws as aws
inline_policy = aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs(
actions=["ec2:DescribeAccountAttributes"],
resources=["*"],
)])
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
inline_policies=[
aws.iam.RoleInlinePolicyArgs(
name="my_inline_policy",
policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": ["ec2:Describe*"],
"Effect": "Allow",
"Resource": "*",
}],
}),
),
aws.iam.RoleInlinePolicyArgs(
name="policy-8675309",
policy=inline_policy.json,
),
])
```
### Example of Removing Inline Policies
This example creates an IAM role with what appears to be empty IAM `inline_policy` argument instead of using `inline_policy` as a configuration block. The result is that if someone were to add an inline policy out-of-band, on the next apply, the provider will remove that policy.
```python
import pulumi
import pulumi_aws as aws
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
inline_policies=[aws.iam.RoleInlinePolicyArgs()])
```
### Example of Exclusive Managed Policies
This example creates an IAM role and attaches two managed IAM policies. If someone attaches another managed policy out-of-band, on the next apply, the provider will detach that policy. If someone detaches these policies out-of-band, the provider will attach them again.
```python
import pulumi
import json
import pulumi_aws as aws
policy_one = aws.iam.Policy("policyOne", policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": ["ec2:Describe*"],
"Effect": "Allow",
"Resource": "*",
}],
}))
policy_two = aws.iam.Policy("policyTwo", policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": [
"s3:ListAllMyBuckets",
"s3:ListBucket",
"s3:HeadBucket",
],
"Effect": "Allow",
"Resource": "*",
}],
}))
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
managed_policy_arns=[
policy_one.arn,
policy_two.arn,
])
```
### Example of Removing Managed Policies
This example creates an IAM role with an empty `managed_policy_arns` argument. If someone attaches a policy out-of-band, on the next apply, the provider will detach that policy.
```python
import pulumi
import pulumi_aws as aws
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
managed_policy_arns=[])
```
## Import
IAM Roles can be imported using the `name`, e.g.
```sh
$ pulumi import aws:iam/role:Role developer developer_name
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] assume_role_policy: Policy that grants an entity permission to assume the role.
:param pulumi.Input[str] description: Description of the role.
:param pulumi.Input[bool] force_detach_policies: Whether to force detaching any policies the role has before destroying it. Defaults to `false`.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RoleInlinePolicyArgs']]]] inline_policies: Configuration block defining an exclusive set of IAM inline policies associated with the IAM role. Defined below. If no blocks are configured, the provider will ignore any managing any inline policies in this resource. Configuring one empty block (i.e., `inline_policy {}`) will cause the provider to remove _all_ inline policies.
:param pulumi.Input[Sequence[pulumi.Input[str]]] managed_policy_arns: Set of exclusive IAM managed policy ARNs to attach to the IAM role. If this attribute is not configured, the provider will ignore policy attachments to this resource. When configured, the provider will align the role's managed policy attachments with this set by attaching or detaching managed policies. Configuring an empty set (i.e., `managed_policy_arns = []`) will cause the provider to remove _all_ managed policy attachments.
:param pulumi.Input[int] max_session_duration: Maximum session duration (in seconds) that you want to set for the specified role. If you do not specify a value for this setting, the default maximum of one hour is applied. This setting can have a value from 1 hour to 12 hours.
:param pulumi.Input[str] name: Name of the role policy.
:param pulumi.Input[str] name_prefix: Creates a unique friendly name beginning with the specified prefix. Conflicts with `name`.
:param pulumi.Input[str] path: Path to the role. See [IAM Identifiers](https://docs.aws.amazon.com/IAM/latest/UserGuide/Using_Identifiers.html) for more information.
:param pulumi.Input[str] permissions_boundary: ARN of the policy that is used to set the permissions boundary for the role.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of tags for the IAM role
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: RoleArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides an IAM role.
> **NOTE:** If policies are attached to the role via the `iam.PolicyAttachment` resource and you are modifying the role `name` or `path`, the `force_detach_policies` argument must be set to `true` and applied before attempting the operation otherwise you will encounter a `DeleteConflict` error. The `iam.RolePolicyAttachment` resource does not have this requirement.
> **NOTE:** If you use this resource's `managed_policy_arns` argument or `inline_policy` configuration blocks, this resource will take over exclusive management of the role's respective policy types (e.g., both policy types if both arguments are used). These arguments are incompatible with other ways of managing a role's policies, such as `iam.PolicyAttachment`, `iam.RolePolicyAttachment`, and `iam.RolePolicy`. If you attempt to manage a role's policies by multiple means, you will get resource cycling and/or errors.
## Example Usage
### Basic Example
```python
import pulumi
import json
import pulumi_aws as aws
test_role = aws.iam.Role("testRole",
assume_role_policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": "sts:AssumeRole",
"Effect": "Allow",
"Sid": "",
"Principal": {
"Service": "ec2.amazonaws.com",
},
}],
}),
tags={
"tag-key": "tag-value",
})
```
### Example of Using Data Source for Assume Role Policy
```python
import pulumi
import pulumi_aws as aws
instance_assume_role_policy = aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs(
actions=["sts:AssumeRole"],
principals=[aws.iam.GetPolicyDocumentStatementPrincipalArgs(
type="Service",
identifiers=["ec2.amazonaws.com"],
)],
)])
instance = aws.iam.Role("instance",
path="/system/",
assume_role_policy=instance_assume_role_policy.json)
```
### Example of Exclusive Inline Policies
This example creates an IAM role with two inline IAM policies. If someone adds another inline policy out-of-band, on the next apply, the provider will remove that policy. If someone deletes these policies out-of-band, the provider will recreate them.
```python
import pulumi
import json
import pulumi_aws as aws
inline_policy = aws.iam.get_policy_document(statements=[aws.iam.GetPolicyDocumentStatementArgs(
actions=["ec2:DescribeAccountAttributes"],
resources=["*"],
)])
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
inline_policies=[
aws.iam.RoleInlinePolicyArgs(
name="my_inline_policy",
policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": ["ec2:Describe*"],
"Effect": "Allow",
"Resource": "*",
}],
}),
),
aws.iam.RoleInlinePolicyArgs(
name="policy-8675309",
policy=inline_policy.json,
),
])
```
### Example of Removing Inline Policies
This example creates an IAM role with what appears to be empty IAM `inline_policy` argument instead of using `inline_policy` as a configuration block. The result is that if someone were to add an inline policy out-of-band, on the next apply, the provider will remove that policy.
```python
import pulumi
import pulumi_aws as aws
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
inline_policies=[aws.iam.RoleInlinePolicyArgs()])
```
### Example of Exclusive Managed Policies
This example creates an IAM role and attaches two managed IAM policies. If someone attaches another managed policy out-of-band, on the next apply, the provider will detach that policy. If someone detaches these policies out-of-band, the provider will attach them again.
```python
import pulumi
import json
import pulumi_aws as aws
policy_one = aws.iam.Policy("policyOne", policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": ["ec2:Describe*"],
"Effect": "Allow",
"Resource": "*",
}],
}))
policy_two = aws.iam.Policy("policyTwo", policy=json.dumps({
"Version": "2012-10-17",
"Statement": [{
"Action": [
"s3:ListAllMyBuckets",
"s3:ListBucket",
"s3:HeadBucket",
],
"Effect": "Allow",
"Resource": "*",
}],
}))
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
managed_policy_arns=[
policy_one.arn,
policy_two.arn,
])
```
### Example of Removing Managed Policies
This example creates an IAM role with an empty `managed_policy_arns` argument. If someone attaches a policy out-of-band, on the next apply, the provider will detach that policy.
```python
import pulumi
import pulumi_aws as aws
example = aws.iam.Role("example",
assume_role_policy=data["aws_iam_policy_document"]["instance_assume_role_policy"]["json"],
managed_policy_arns=[])
```
## Import
IAM Roles can be imported using the `name`, e.g.
```sh
$ pulumi import aws:iam/role:Role developer developer_name
```
:param str resource_name: The name of the resource.
:param RoleArgs 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(RoleArgs, 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,
assume_role_policy: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
force_detach_policies: Optional[pulumi.Input[bool]] = None,
inline_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RoleInlinePolicyArgs']]]]] = None,
managed_policy_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
max_session_duration: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
name_prefix: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
permissions_boundary: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None,
__name__=None,
__opts__=None):
if __name__ is not None:
warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
resource_name = __name__
if __opts__ is not None:
warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
opts = __opts__
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__ = dict()
if assume_role_policy is None and not opts.urn:
raise TypeError("Missing required property 'assume_role_policy'")
__props__['assume_role_policy'] = assume_role_policy
__props__['description'] = description
__props__['force_detach_policies'] = force_detach_policies
__props__['inline_policies'] = inline_policies
__props__['managed_policy_arns'] = managed_policy_arns
__props__['max_session_duration'] = max_session_duration
__props__['name'] = name
__props__['name_prefix'] = name_prefix
__props__['path'] = path
__props__['permissions_boundary'] = permissions_boundary
__props__['tags'] = tags
__props__['arn'] = None
__props__['create_date'] = None
__props__['unique_id'] = None
super(Role, __self__).__init__(
'aws:iam/role:Role',
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,
assume_role_policy: Optional[pulumi.Input[str]] = None,
create_date: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
force_detach_policies: Optional[pulumi.Input[bool]] = None,
inline_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RoleInlinePolicyArgs']]]]] = None,
managed_policy_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
max_session_duration: Optional[pulumi.Input[int]] = None,
name: Optional[pulumi.Input[str]] = None,
name_prefix: Optional[pulumi.Input[str]] = None,
path: Optional[pulumi.Input[str]] = None,
permissions_boundary: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
unique_id: Optional[pulumi.Input[str]] = None) -> 'Role':
"""
Get an existing Role 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: Amazon Resource Name (ARN) specifying the role.
:param pulumi.Input[str] assume_role_policy: Policy that grants an entity permission to assume the role.
:param pulumi.Input[str] create_date: Creation date of the IAM role.
:param pulumi.Input[str] description: Description of the role.
:param pulumi.Input[bool] force_detach_policies: Whether to force detaching any policies the role has before destroying it. Defaults to `false`.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['RoleInlinePolicyArgs']]]] inline_policies: Configuration block defining an exclusive set of IAM inline policies associated with the IAM role. Defined below. If no blocks are configured, the provider will ignore any managing any inline policies in this resource. Configuring one empty block (i.e., `inline_policy {}`) will cause the provider to remove _all_ inline policies.
:param pulumi.Input[Sequence[pulumi.Input[str]]] managed_policy_arns: Set of exclusive IAM managed policy ARNs to attach to the IAM role. If this attribute is not configured, the provider will ignore policy attachments to this resource. When configured, the provider will align the role's managed policy attachments with this set by attaching or detaching managed policies. Configuring an empty set (i.e., `managed_policy_arns = []`) will cause the provider to remove _all_ managed policy attachments.
:param pulumi.Input[int] max_session_duration: Maximum session duration (in seconds) that you want to set for the specified role. If you do not specify a value for this setting, the default maximum of one hour is applied. This setting can have a value from 1 hour to 12 hours.
:param pulumi.Input[str] name: Name of the role policy.
:param pulumi.Input[str] name_prefix: Creates a unique friendly name beginning with the specified prefix. Conflicts with `name`.
:param pulumi.Input[str] path: Path to the role. See [IAM Identifiers](https://docs.aws.amazon.com/IAM/latest/UserGuide/Using_Identifiers.html) for more information.
:param pulumi.Input[str] permissions_boundary: ARN of the policy that is used to set the permissions boundary for the role.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Key-value mapping of tags for the IAM role
:param pulumi.Input[str] unique_id: Stable and unique string identifying the role.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = dict()
__props__["arn"] = arn
__props__["assume_role_policy"] = assume_role_policy
__props__["create_date"] = create_date
__props__["description"] = description
__props__["force_detach_policies"] = force_detach_policies
__props__["inline_policies"] = inline_policies
__props__["managed_policy_arns"] = managed_policy_arns
__props__["max_session_duration"] = max_session_duration
__props__["name"] = name
__props__["name_prefix"] = name_prefix
__props__["path"] = path
__props__["permissions_boundary"] = permissions_boundary
__props__["tags"] = tags
__props__["unique_id"] = unique_id
return Role(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def arn(self) -> pulumi.Output[str]:
"""
Amazon Resource Name (ARN) specifying the role.
"""
return pulumi.get(self, "arn")
@property
@pulumi.getter(name="assumeRolePolicy")
def assume_role_policy(self) -> pulumi.Output[str]:
"""
Policy that grants an entity permission to assume the role.
"""
return pulumi.get(self, "assume_role_policy")
@property
@pulumi.getter(name="createDate")
def create_date(self) -> pulumi.Output[str]:
"""
Creation date of the IAM role.
"""
return pulumi.get(self, "create_date")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
Description of the role.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="forceDetachPolicies")
def force_detach_policies(self) -> pulumi.Output[Optional[bool]]:
"""
Whether to force detaching any policies the role has before destroying it. Defaults to `false`.
"""
return pulumi.get(self, "force_detach_policies")
@property
@pulumi.getter(name="inlinePolicies")
def inline_policies(self) -> pulumi.Output[Sequence['outputs.RoleInlinePolicy']]:
"""
Configuration block defining an exclusive set of IAM inline policies associated with the IAM role. Defined below. If no blocks are configured, the provider will ignore any managing any inline policies in this resource. Configuring one empty block (i.e., `inline_policy {}`) will cause the provider to remove _all_ inline policies.
"""
return pulumi.get(self, "inline_policies")
@property
@pulumi.getter(name="managedPolicyArns")
def managed_policy_arns(self) -> pulumi.Output[Sequence[str]]:
"""
Set of exclusive IAM managed policy ARNs to attach to the IAM role. If this attribute is not configured, the provider will ignore policy attachments to this resource. When configured, the provider will align the role's managed policy attachments with this set by attaching or detaching managed policies. Configuring an empty set (i.e., `managed_policy_arns = []`) will cause the provider to remove _all_ managed policy attachments.
"""
return pulumi.get(self, "managed_policy_arns")
@property
@pulumi.getter(name="maxSessionDuration")
def max_session_duration(self) -> pulumi.Output[Optional[int]]:
"""
Maximum session duration (in seconds) that you want to set for the specified role. If you do not specify a value for this setting, the default maximum of one hour is applied. This setting can have a value from 1 hour to 12 hours.
"""
return pulumi.get(self, "max_session_duration")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Name of the role policy.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="namePrefix")
def name_prefix(self) -> pulumi.Output[Optional[str]]:
"""
Creates a unique friendly name beginning with the specified prefix. Conflicts with `name`.
"""
return pulumi.get(self, "name_prefix")
@property
@pulumi.getter
def path(self) -> pulumi.Output[Optional[str]]:
"""
Path to the role. See [IAM Identifiers](https://docs.aws.amazon.com/IAM/latest/UserGuide/Using_Identifiers.html) for more information.
"""
return pulumi.get(self, "path")
@property
@pulumi.getter(name="permissionsBoundary")
def permissions_boundary(self) -> pulumi.Output[Optional[str]]:
"""
ARN of the policy that is used to set the permissions boundary for the role.
"""
return pulumi.get(self, "permissions_boundary")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Key-value mapping of tags for the IAM role
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter(name="uniqueId")
def unique_id(self) -> pulumi.Output[str]:
"""
Stable and unique string identifying the role.
"""
return pulumi.get(self, "unique_id")
def translate_output_property(self, prop):
return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
def translate_input_property(self, prop):
return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
| 50.260536
| 529
| 0.642781
| 4,692
| 39,354
| 5.225277
| 0.073529
| 0.06057
| 0.045683
| 0.032304
| 0.899865
| 0.867194
| 0.836358
| 0.806175
| 0.79088
| 0.769017
| 0
| 0.003782
| 0.261015
| 39,354
| 782
| 530
| 50.324808
| 0.839248
| 0.538827
| 0
| 0.435216
| 1
| 0
| 0.11053
| 0.009922
| 0
| 0
| 0
| 0
| 0
| 1
| 0.146179
| false
| 0.003322
| 0.023256
| 0.006645
| 0.269103
| 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
|
d5ea8be802e3605d2cd459a3c1d97d9beaf3f02c
| 5,858
|
py
|
Python
|
networkx/classes/tests/test_filters.py
|
jmmcd/networkx
|
207ff7d1e9bfaff013ac77c8d6bb79619892c994
|
[
"BSD-3-Clause"
] | 3
|
2020-08-04T20:29:41.000Z
|
2020-11-09T09:28:19.000Z
|
networkx/classes/tests/test_filters.py
|
jmmcd/networkx
|
207ff7d1e9bfaff013ac77c8d6bb79619892c994
|
[
"BSD-3-Clause"
] | 30
|
2020-04-15T19:37:40.000Z
|
2020-04-22T21:19:35.000Z
|
networkx/classes/tests/test_filters.py
|
jmmcd/networkx
|
207ff7d1e9bfaff013ac77c8d6bb79619892c994
|
[
"BSD-3-Clause"
] | 2
|
2020-02-13T10:33:34.000Z
|
2020-08-09T07:59:26.000Z
|
import pytest
import networkx as nx
class TestFilterFactory(object):
def test_no_filter(self):
nf = nx.filters.no_filter
assert nf()
assert nf(1)
assert nf(2, 1)
def test_hide_nodes(self):
f = nx.classes.filters.hide_nodes([1, 2, 3])
assert not f(1)
assert not f(2)
assert not f(3)
assert f(4)
assert f(0)
assert f('a')
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f)
def test_show_nodes(self):
f = nx.classes.filters.show_nodes([1, 2, 3])
assert f(1)
assert f(2)
assert f(3)
assert not f(4)
assert not f(0)
assert not f('a')
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f)
def test_hide_edges(self):
factory = nx.classes.filters.hide_edges
f = factory([(1, 2), (3, 4)])
assert not f(1, 2)
assert not f(3, 4)
assert not f(4, 3)
assert f(2, 3)
assert f(0, -1)
assert f('a', 'b')
pytest.raises(TypeError, f, 1, 2, 3)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2, 3)])
def test_show_edges(self):
factory = nx.classes.filters.show_edges
f = factory([(1, 2), (3, 4)])
assert f(1, 2)
assert f(3, 4)
assert f(4, 3)
assert not f(2, 3)
assert not f(0, -1)
assert not f('a', 'b')
pytest.raises(TypeError, f, 1, 2, 3)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2, 3)])
def test_hide_diedges(self):
factory = nx.classes.filters.hide_diedges
f = factory([(1, 2), (3, 4)])
assert not f(1, 2)
assert not f(3, 4)
assert f(4, 3)
assert f(2, 3)
assert f(0, -1)
assert f('a', 'b')
pytest.raises(TypeError, f, 1, 2, 3)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2, 3)])
def test_show_diedges(self):
factory = nx.classes.filters.show_diedges
f = factory([(1, 2), (3, 4)])
assert f(1, 2)
assert f(3, 4)
assert not f(4, 3)
assert not f(2, 3)
assert not f(0, -1)
assert not f('a', 'b')
pytest.raises(TypeError, f, 1, 2, 3)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2, 3)])
def test_hide_multiedges(self):
factory = nx.classes.filters.hide_multiedges
f = factory([(1, 2, 0), (3, 4, 1), (1, 2, 1)])
assert not f(1, 2, 0)
assert not f(1, 2, 1)
assert f(1, 2, 2)
assert f(3, 4, 0)
assert not f(3, 4, 1)
assert not f(4, 3, 1)
assert f(4, 3, 0)
assert f(2, 3, 0)
assert f(0, -1, 0)
assert f('a', 'b', 0)
pytest.raises(TypeError, f, 1, 2, 3, 4)
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2)])
pytest.raises(ValueError, factory, [(1, 2, 3, 4)])
def test_show_multiedges(self):
factory = nx.classes.filters.show_multiedges
f = factory([(1, 2, 0), (3, 4, 1), (1, 2, 1)])
assert f(1, 2, 0)
assert f(1, 2, 1)
assert not f(1, 2, 2)
assert not f(3, 4, 0)
assert f(3, 4, 1)
assert f(4, 3, 1)
assert not f(4, 3, 0)
assert not f(2, 3, 0)
assert not f(0, -1, 0)
assert not f('a', 'b', 0)
pytest.raises(TypeError, f, 1, 2, 3, 4)
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2)])
pytest.raises(ValueError, factory, [(1, 2, 3, 4)])
def test_hide_multidiedges(self):
factory = nx.classes.filters.hide_multidiedges
f = factory([(1, 2, 0), (3, 4, 1), (1, 2, 1)])
assert not f(1, 2, 0)
assert not f(1, 2, 1)
assert f(1, 2, 2)
assert f(3, 4, 0)
assert not f(3, 4, 1)
assert f(4, 3, 1)
assert f(4, 3, 0)
assert f(2, 3, 0)
assert f(0, -1, 0)
assert f('a', 'b', 0)
pytest.raises(TypeError, f, 1, 2, 3, 4)
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2)])
pytest.raises(ValueError, factory, [(1, 2, 3, 4)])
def test_show_multidiedges(self):
factory = nx.classes.filters.show_multidiedges
f = factory([(1, 2, 0), (3, 4, 1), (1, 2, 1)])
assert f(1, 2, 0)
assert f(1, 2, 1)
assert not f(1, 2, 2)
assert not f(3, 4, 0)
assert f(3, 4, 1)
assert not f(4, 3, 1)
assert not f(4, 3, 0)
assert not f(2, 3, 0)
assert not f(0, -1, 0)
assert not f('a', 'b', 0)
pytest.raises(TypeError, f, 1, 2, 3, 4)
pytest.raises(TypeError, f, 1, 2)
pytest.raises(TypeError, f, 1)
pytest.raises(TypeError, f)
pytest.raises(TypeError, factory, [1, 2, 3])
pytest.raises(ValueError, factory, [(1, 2)])
pytest.raises(ValueError, factory, [(1, 2, 3, 4)])
| 33.096045
| 58
| 0.520997
| 898
| 5,858
| 3.361915
| 0.041203
| 0.042398
| 0.278238
| 0.23319
| 0.925141
| 0.907254
| 0.785359
| 0.785359
| 0.77741
| 0.775422
| 0
| 0.083713
| 0.325026
| 5,858
| 176
| 59
| 33.284091
| 0.679818
| 0
| 0
| 0.756098
| 0
| 0
| 0.003073
| 0
| 0
| 0
| 0
| 0
| 0.481707
| 1
| 0.067073
| false
| 0
| 0.012195
| 0
| 0.085366
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
914ac940c9448829e53d82b96febfa6ab64e7f67
| 29,728
|
py
|
Python
|
pkg/vtreat/vtreat_api.py
|
sdrees/pyvtreat
|
fed9a653b2524ba04b1e92b1087e58bead25f99a
|
[
"BSD-3-Clause"
] | null | null | null |
pkg/vtreat/vtreat_api.py
|
sdrees/pyvtreat
|
fed9a653b2524ba04b1e92b1087e58bead25f99a
|
[
"BSD-3-Clause"
] | null | null | null |
pkg/vtreat/vtreat_api.py
|
sdrees/pyvtreat
|
fed9a653b2524ba04b1e92b1087e58bead25f99a
|
[
"BSD-3-Clause"
] | null | null | null |
"""
Define user visible vtreat API.
"""
import warnings
from typing import Any, Dict, Iterable, Optional
import pandas
import numpy
import vtreat.vtreat_impl as vtreat_impl
import vtreat.util
import vtreat.cross_plan
def vtreat_parameters(user_params: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
"""
build a vtreat parameters dictionary, adding in user choices
:param user_params: dictionary of user choices
:return: dictionary of user and default choices
"""
params = {
"use_hierarchical_estimate": True,
"coders": {
"clean_copy",
"missing_indicator",
"indicator_code",
"impact_code",
"deviation_code",
"logit_code",
"prevalence_code",
},
"filter_to_recommended": True,
"indicator_min_fraction": 0.02,
"cross_validation_plan": vtreat.cross_plan.KWayCrossPlanYStratified(),
"cross_validation_k": 5,
"user_transforms": [],
"sparse_indicators": False,
"missingness_imputation": numpy.mean,
"check_for_duplicate_frames": True,
"error_on_duplicate_frames": False,
"retain_cross_plan": True,
"tunable_params": ["indicator_min_fraction"],
}
pkeys = set(params.keys())
if user_params is not None:
for k in user_params.keys():
if k not in pkeys:
raise KeyError("parameter key " + str(k) + " not recognized")
params[k] = user_params[k]
if params["error_on_duplicate_frames"]:
params["check_for_duplicate_frames"] = True
for k in params["tunable_params"]:
if k not in pkeys:
raise KeyError("tunable_params key " + str(k) + " not recognized")
return params
def unsupervised_parameters(
user_params: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
"""
build a vtreat parameters dictionary for unsupervised tasks, adding in user choices
:param user_params: dictionary of user choices
:return: dictionary of user and default choices
"""
params = {
"coders": {
"clean_copy",
"missing_indicator",
"indicator_code",
"prevalence_code",
},
"indicator_min_fraction": 0.0,
"indicator_max_levels": 1000,
"user_transforms": [],
"sparse_indicators": False,
"missingness_imputation": numpy.mean,
"tunable_params": ["indicator_min_fraction", "indicator_max_levels"],
}
pkeys = set(params.keys())
if user_params is not None:
for k in user_params.keys():
if k not in pkeys:
raise KeyError("parameter key " + str(k) + " not recognized")
params[k] = user_params[k]
for k in params["tunable_params"]:
if k not in pkeys:
raise KeyError("tunable_params key " + str(k) + " not recognized")
return params
class NumericOutcomeTreatment(vtreat_impl.VariableTreatment):
"""manage a treatment plan for a numeric outcome (regression)"""
def __init__(
self,
*,
var_list: Optional[Iterable[str]] = None,
outcome_name: Optional[str] = None,
cols_to_copy: Optional[Iterable[str]] = None,
params: Optional[Dict[str, Any]] = None,
imputation_map: Optional[Dict[str, Any]] = None,
):
"""
:param var_list: list or tuple of column names, if empty all non outcome and copy columns are used
:param outcome_name: name of column containing dependent variable
:param cols_to_copy: list or tuple of column names
:param params: vtreat.vtreat_parameters()
:param imputation_map: map of column names to custom missing imputation values or functions
"""
params = self.merge_params(params)
vtreat_impl.VariableTreatment.__init__(
self,
var_list=var_list,
outcome_name=outcome_name,
cols_to_copy=cols_to_copy,
params=params,
imputation_map=imputation_map,
)
def merge_params(self, p: Optional[Dict[str, Any]]) -> Dict[str, Any]:
"""
Merge user parameters, returns new parameters does not alter object.
:param p:
:return: merged parameters
"""
return vtreat_parameters(p)
# noinspection PyPep8Naming
def transform(self, X):
"""
Apply transform to data.
:param X: data
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if self.last_fit_x_id_ is None:
raise ValueError("called transform on not yet fit treatment")
if self.params_["check_for_duplicate_frames"] and (
self.last_fit_x_id_ == vtreat.util.hash_data_frame(X)
):
if self.params_["error_on_duplicate_frames"]:
raise ValueError(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
warnings.warn(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
res = vtreat_impl.pre_prep_frame(
X,
col_list=self.plan_.num_list + self.plan_.cat_list,
cols_to_copy=self.cols_to_copy_,
cat_cols=self.plan_.cat_list,
)
res = vtreat_impl.perform_transform(x=res, transform=self, params=self.params_)
res = vtreat_impl.limit_to_appropriate_columns(res=res, transform=self)
res, res_columns = vtreat_impl.back_to_orig_type_data_frame(res, orig_type)
self.last_result_columns = res_columns
return res
# noinspection PyPep8Naming
def fit_transform(self, X, y=None, **fit_params):
"""
fit_transform data, this is the way to fit with cross methods.
:param X: explanatory values
:param y: dependent values
:param fit_params:
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if y is None:
if self.outcome_name_ is None:
raise ValueError(".fit_transform(X) must have outcome_name set")
y = numpy.asarray(X[self.outcome_name_])
else:
y = numpy.asarray(y)
if (self.outcome_name_ is not None) and (self.outcome_name_ in X.columns):
if not numpy.all(X[self.outcome_name_] == y):
raise ValueError(
".fit_transform(X, y) called with y != X[outcome_name]"
)
if not X.shape[0] == len(y):
raise ValueError("X.shape[0] should equal len(y)")
y = vtreat.util.safe_to_numeric_array(y)
if vtreat.util.is_bad(y).sum() > 0:
raise ValueError("y should not have any missing/NA/NaN values")
if numpy.max(y) <= numpy.min(y):
raise ValueError("y does not vary")
cross_rows = None
cross_plan = None
if self.params_["retain_cross_plan"]:
cross_rows = self.cross_rows_
cross_plan = self.cross_plan_
self.clear()
self.last_fit_x_id_ = vtreat.util.hash_data_frame(X)
X = vtreat_impl.pre_prep_frame(
X, col_list=self.var_list_, cols_to_copy=self.cols_to_copy_
)
if isinstance(y, pandas.Series):
y = y.reset_index(inplace=False, drop=True)
# model for independent transforms
self.plan_ = None
self.score_frame_ = None
self.plan_ = vtreat_impl.fit_numeric_outcome_treatment(
X=X,
y=y,
var_list=self.var_list_,
outcome_name=self.outcome_name_,
cols_to_copy=self.cols_to_copy_,
params=self.params_,
imputation_map=self.imputation_map_,
)
cross_frame = vtreat_impl.perform_transform(
x=X, transform=self, params=self.params_
)
if (cross_plan is None) or (cross_rows != X.shape[0]):
if cross_plan is not None:
warnings.warn(
"Number of rows different than previous fit with retain_cross_plan==True"
)
cross_plan = self.params_["cross_validation_plan"].split_plan(
n_rows=X.shape[0],
k_folds=self.params_["cross_validation_k"],
data=X,
y=y,
)
cross_rows = X.shape[0]
# patch in cross-frame versions of complex columns such as impact
vtreat_impl.cross_patch_refit_y_aware_cols(
x=X, y=y, res=cross_frame, plan=self.plan_, cross_plan=cross_plan
)
vtreat_impl.cross_patch_user_y_aware_cols(
x=cross_frame,
y=y,
res=cross_frame,
params=self.params_,
cross_plan=cross_plan,
)
# use cross_frame to compute variable effects
self.score_frame_ = vtreat_impl.score_plan_variables(
cross_frame=cross_frame,
outcome=y,
plan=self.plan_,
params=self.params_,
is_classification=False,
)
if ("filter_to_recommended" in self.params_.keys()) and self.params_[
"filter_to_recommended"
]:
self.set_result_restriction(
set(
[
ci
for ci in self.score_frame_["variable"][
self.score_frame_["recommended"]
]
]
)
)
cross_frame = vtreat_impl.limit_to_appropriate_columns(
res=cross_frame, transform=self
)
cross_frame, res_columns = vtreat_impl.back_to_orig_type_data_frame(
cross_frame, orig_type
)
self.last_result_columns = res_columns
if self.params_["retain_cross_plan"]:
self.cross_plan_ = cross_plan
self.cross_rows_ = cross_rows
else:
self.cross_plan_ = None
self.cross_rows_ = None
return cross_frame
class BinomialOutcomeTreatment(vtreat_impl.VariableTreatment):
"""manage a treatment plan for a target outcome (binomial classification)"""
def __init__(
self,
*,
var_list: Optional[Iterable[str]] = None,
outcome_name: Optional[str] = None,
outcome_target=None,
cols_to_copy: Optional[Iterable[str]] = None,
params: Optional[Dict[str, Any]] = None,
imputation_map: Optional[Dict[str, Any]] = None,
):
"""
:param var_list: list or tuple of column names, if empty all non outcome and copy columns are used
:param outcome_name: name of column containing dependent variable
:param outcome_target: value of outcome to consider "positive"
:param cols_to_copy: list or tuple of column names
:param params: vtreat.vtreat_parameters()
:param imputation_map: map of column names to custom missing imputation values or functions
"""
params = self.merge_params(params)
vtreat_impl.VariableTreatment.__init__(
self,
var_list=var_list,
outcome_name=outcome_name,
outcome_target=outcome_target,
cols_to_copy=cols_to_copy,
params=params,
imputation_map=imputation_map,
)
def merge_params(self, p: Optional[Dict[str, Any]]) -> Dict[str, Any]:
"""
Merge user parameters, returns new parameters does not alter object.
:param p:
:return: merged parameters
"""
return vtreat_parameters(p)
# noinspection PyPep8Naming
def transform(self, X):
"""
Apply transform to data.
:param X: data
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if self.last_fit_x_id_ is None:
raise ValueError("called transform on not yet fit treatment")
if self.params_["check_for_duplicate_frames"] and (
self.last_fit_x_id_ == vtreat.util.hash_data_frame(X)
):
if self.params_["error_on_duplicate_frames"]:
raise ValueError(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
warnings.warn(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
X = vtreat_impl.pre_prep_frame(
X,
col_list=self.plan_.num_list + self.plan_.cat_list,
cols_to_copy=self.cols_to_copy_,
cat_cols=self.plan_.cat_list,
)
res = vtreat_impl.perform_transform(x=X, transform=self, params=self.params_)
res = vtreat_impl.limit_to_appropriate_columns(res=res, transform=self)
res, res_columns = vtreat_impl.back_to_orig_type_data_frame(res, orig_type)
self.last_result_columns = res_columns
return res
# noinspection PyPep8Naming
def fit_transform(self, X, y=None, **fit_params):
"""
fit_transform data, this is the way to fit with cross methods.
:param X: explanatory values
:param y: dependent values
:param fit_params:
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if y is None:
if self.outcome_name_ is None:
raise ValueError(".fit_transform(X) must have outcome_name set")
y = numpy.asarray(X[self.outcome_name_])
else:
y = numpy.asarray(y)
if (self.outcome_name_ is not None) and (self.outcome_name_ in X.columns):
if not numpy.all(X[self.outcome_name_] == y):
raise ValueError(
".fit_transform(X, y) called with y != X[outcome_name]"
)
if not X.shape[0] == len(y):
raise ValueError("X.shape[0] should equal len(y)")
y_mean = numpy.mean(y == self.outcome_target_)
if y_mean <= 0 or y_mean >= 1:
raise ValueError("y==outcome_target does not vary")
cross_rows = None
cross_plan = None
if self.params_["retain_cross_plan"]:
cross_rows = self.cross_rows_
cross_plan = self.cross_plan_
self.clear()
self.last_fit_x_id_ = vtreat.util.hash_data_frame(X)
X = vtreat_impl.pre_prep_frame(
X, col_list=self.var_list_, cols_to_copy=self.cols_to_copy_
)
if isinstance(y, pandas.Series):
y = y.reset_index(inplace=False, drop=True)
# model for independent transforms
self.plan_ = None
self.score_frame_ = None
self.plan_ = vtreat_impl.fit_binomial_outcome_treatment(
X=X,
y=y,
outcome_target=self.outcome_target_,
var_list=self.var_list_,
outcome_name=self.outcome_name_,
cols_to_copy=self.cols_to_copy_,
params=self.params_,
imputation_map=self.imputation_map_,
)
cross_frame = vtreat_impl.perform_transform(
x=X, transform=self, params=self.params_
)
if (cross_plan is None) or (cross_rows != X.shape[0]):
if cross_plan is not None:
warnings.warn(
"Number of rows different than previous fit with retain_cross_plan==True"
)
cross_plan = self.params_["cross_validation_plan"].split_plan(
n_rows=X.shape[0],
k_folds=self.params_["cross_validation_k"],
data=X,
y=y,
)
cross_rows = X.shape[0]
# patch in cross-frame versions of complex columns such as impact
vtreat_impl.cross_patch_refit_y_aware_cols(
x=X, y=y, res=cross_frame, plan=self.plan_, cross_plan=cross_plan
)
vtreat_impl.cross_patch_user_y_aware_cols(
x=cross_frame,
y=y,
res=cross_frame,
params=self.params_,
cross_plan=cross_plan,
)
# use cross_frame to compute variable effects
self.score_frame_ = vtreat_impl.score_plan_variables(
cross_frame=cross_frame,
outcome=numpy.asarray(
numpy.asarray(y) == self.outcome_target_, dtype=float
),
plan=self.plan_,
params=self.params_,
is_classification=True,
)
if ("filter_to_recommended" in self.params_.keys()) and self.params_[
"filter_to_recommended"
]:
self.set_result_restriction(
set(
[
ci
for ci in self.score_frame_["variable"][
self.score_frame_["recommended"]
]
]
)
)
cross_frame = vtreat_impl.limit_to_appropriate_columns(
res=cross_frame, transform=self
)
cross_frame, res_columns = vtreat_impl.back_to_orig_type_data_frame(
cross_frame, orig_type
)
self.last_result_columns = res_columns
if self.params_["retain_cross_plan"]:
self.cross_plan_ = cross_plan
self.cross_rows_ = cross_rows
else:
self.cross_plan_ = None
self.cross_rows_ = None
return cross_frame
class MultinomialOutcomeTreatment(vtreat_impl.VariableTreatment):
"""manage a treatment plan for a set of outcomes (multinomial classification)"""
def __init__(
self,
*,
var_list: Optional[Iterable[str]] = None,
outcome_name: Optional[str] = None,
cols_to_copy: Optional[Iterable[str]] = None,
params: Optional[Dict[str, Any]] = None,
imputation_map: Optional[Dict[str, Any]] = None,
):
"""
:param var_list: list or tuple of column names, if empty all non outcome and copy columns are used
:param outcome_name: name of column containing dependent variable
:param cols_to_copy: list or tuple of column names
:param params: vtreat.vtreat_parameters()
:param imputation_map: map of column names to custom missing imputation values or functions
"""
params = self.merge_params(params)
vtreat_impl.VariableTreatment.__init__(
self,
var_list=var_list,
outcome_name=outcome_name,
cols_to_copy=cols_to_copy,
params=params,
imputation_map=imputation_map,
)
self.outcomes_ = None
def merge_params(self, p: Optional[Dict[str, Any]]) -> Dict[str, Any]:
"""
Merge user parameters, returns new parameters does not alter object.
:param p:
:return: merged parameters
"""
return vtreat_parameters(p)
# noinspection PyPep8Naming
def transform(self, X):
"""
Apply transform to data.
:param X: data
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if self.last_fit_x_id_ is None:
raise ValueError("called transform on not yet fit treatment")
if self.params_["check_for_duplicate_frames"] and (
self.last_fit_x_id_ == vtreat.util.hash_data_frame(X)
):
if self.params_["error_on_duplicate_frames"]:
raise ValueError(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
warnings.warn(
"possibly called transform on same data used to fit\n"
+ "(this causes over-fit, please use fit_transform() instead)"
)
X = vtreat_impl.pre_prep_frame(
X,
col_list=self.plan_.num_list + self.plan_.cat_list,
cols_to_copy=self.cols_to_copy_,
cat_cols=self.plan_.cat_list,
)
res = vtreat_impl.perform_transform(x=X, transform=self, params=self.params_)
res = vtreat_impl.limit_to_appropriate_columns(res=res, transform=self)
res, res_columns = vtreat_impl.back_to_orig_type_data_frame(res, orig_type)
self.last_result_columns = res_columns
return res
# noinspection PyPep8Naming
def fit_transform(self, X, y=None, **fit_params):
"""
fit_transform data, this is the way to fit with cross methods.
:param X: explanatory values
:param y: dependent values
:param fit_params:
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if y is None:
if self.outcome_name_ is None:
raise ValueError(".fit_transform(X) must have outcome_name set")
y = numpy.asarray(X[self.outcome_name_])
else:
y = numpy.asarray(y)
if (self.outcome_name_ is not None) and (self.outcome_name_ in X.columns):
if not numpy.all(X[self.outcome_name_] == y):
raise ValueError(
".fit_transform(X, y) called with y != X[outcome_name]"
)
if not X.shape[0] == len(y):
raise ValueError("X.shape[0] should equal len(y)")
if len(numpy.unique(y)) <= 1:
raise ValueError("y must take on at least 2 values")
cross_rows = None
cross_plan = None
if self.params_["retain_cross_plan"]:
cross_rows = self.cross_rows_
cross_plan = self.cross_plan_
self.clear()
self.last_fit_x_id_ = vtreat.util.hash_data_frame(X)
X = vtreat_impl.pre_prep_frame(
X, col_list=self.var_list_, cols_to_copy=self.cols_to_copy_
)
if isinstance(y, pandas.Series):
y = y.reset_index(inplace=False, drop=True)
# model for independent transforms
self.plan_ = None
self.score_frame_ = None
self.outcomes_ = numpy.unique(y)
self.plan_ = vtreat_impl.fit_multinomial_outcome_treatment(
X=X,
y=y,
var_list=self.var_list_,
outcome_name=self.outcome_name_,
cols_to_copy=self.cols_to_copy_,
params=self.params_,
imputation_map=self.imputation_map_,
)
cross_frame = vtreat_impl.perform_transform(
x=X, transform=self, params=self.params_
)
if (cross_plan is None) or (cross_rows != X.shape[0]):
if cross_plan is not None:
warnings.warn(
"Number of rows different than previous fit with retain_cross_plan==True"
)
cross_plan = self.params_["cross_validation_plan"].split_plan(
n_rows=X.shape[0],
k_folds=self.params_["cross_validation_k"],
data=X,
y=y,
)
cross_rows = X.shape[0]
vtreat_impl.cross_patch_refit_y_aware_cols(
x=X, y=y, res=cross_frame, plan=self.plan_, cross_plan=cross_plan
)
vtreat_impl.cross_patch_user_y_aware_cols(
x=cross_frame,
y=y,
res=cross_frame,
params=self.params_,
cross_plan=cross_plan,
)
# use cross_frame to compute variable effects
def si(oi):
"""score i-th outcome group"""
sf = vtreat_impl.score_plan_variables(
cross_frame=cross_frame,
outcome=numpy.asarray(numpy.asarray(y) == oi, dtype=float),
plan=self.plan_,
params=self.params_,
is_classification=True,
)
sf["outcome_target"] = oi
return sf
score_frames = [si(oi) for oi in self.outcomes_]
self.score_frame_ = pandas.concat(score_frames, axis=0)
self.score_frame_.reset_index(inplace=True, drop=True)
if ("filter_to_recommended" in self.params_.keys()) and self.params_[
"filter_to_recommended"
]:
self.set_result_restriction(
set(
[
ci
for ci in self.score_frame_["variable"][
self.score_frame_["recommended"]
]
]
)
)
cross_frame = vtreat_impl.limit_to_appropriate_columns(
res=cross_frame, transform=self
)
cross_frame, res_columns = vtreat_impl.back_to_orig_type_data_frame(
cross_frame, orig_type
)
self.last_result_columns = res_columns
if self.params_["retain_cross_plan"]:
self.cross_plan_ = cross_plan
self.cross_rows_ = cross_rows
else:
self.cross_plan_ = None
self.cross_rows_ = None
return cross_frame
class UnsupervisedTreatment(vtreat_impl.VariableTreatment):
"""manage an unsupervised treatment plan"""
def __init__(
self,
*,
var_list: Optional[Iterable[str]] = None,
cols_to_copy: Optional[Iterable[str]] = None,
params: Optional[Dict[str, Any]] = None,
imputation_map: Optional[Dict[str, Any]] = None,
):
"""
:param var_list: list or tuple of column names, if empty all non copy columns are used
:param cols_to_copy: list or tuple of column names
:param params: vtreat.unsupervised_parameters()
:param imputation_map: map of column names to custom missing imputation values or functions
"""
params = self.merge_params(params)
vtreat_impl.VariableTreatment.__init__(
self,
var_list=var_list,
outcome_name=None,
cols_to_copy=cols_to_copy,
params=params,
imputation_map=imputation_map,
)
def merge_params(self, p: Optional[Dict[str, Any]]) -> Dict[str, Any]:
"""
Merge user parameters, returns new parameters does not alter object.
:param p:
:return: merged parameters
"""
return unsupervised_parameters(p)
# noinspection PyPep8Naming
def transform(self, X):
"""
Apply transform to data.
:param X: data
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
if self.last_fit_x_id_ is None:
raise ValueError("called transform on not yet fit treatment")
X = vtreat_impl.pre_prep_frame(
X,
col_list=self.plan_.num_list + self.plan_.cat_list,
cols_to_copy=self.cols_to_copy_,
cat_cols=self.plan_.cat_list,
)
res = vtreat_impl.perform_transform(x=X, transform=self, params=self.params_)
res = vtreat_impl.limit_to_appropriate_columns(res=res, transform=self)
res, res_columns = vtreat_impl.back_to_orig_type_data_frame(res, orig_type)
self.last_result_columns = res_columns
return res
# noinspection PyPep8Naming
def fit_transform(self, X, y=None, **fit_params):
"""
fit_transform data.
:param X: explanatory values
:param y: dependent values
:param fit_params:
:return: transformed data
"""
X, orig_type = vtreat_impl.ready_data_frame(X)
self.check_column_names(X.columns)
assert y is None
self.clear()
self.last_fit_x_id_ = vtreat.util.hash_data_frame(X)
X = vtreat_impl.pre_prep_frame(
X, col_list=self.var_list_, cols_to_copy=self.cols_to_copy_
)
self.plan_ = vtreat_impl.fit_unsupervised_treatment(
X=X,
var_list=self.var_list_,
outcome_name=self.outcome_name_,
cols_to_copy=self.cols_to_copy_,
params=self.params_,
imputation_map=self.imputation_map_,
)
res = vtreat_impl.perform_transform(x=X, transform=self, params=self.params_)
self.score_frame_ = vtreat_impl.pseudo_score_plan_variables(
cross_frame=res, plan=self.plan_, params=self.params_
)
if ("filter_to_recommended" in self.params_.keys()) and self.params_[
"filter_to_recommended"
]:
self.set_result_restriction(
set(
[
ci
for ci in self.score_frame_["variable"][
self.score_frame_["recommended"]
]
]
)
)
res = vtreat_impl.limit_to_appropriate_columns(res=res, transform=self)
res, res_columns = vtreat_impl.back_to_orig_type_data_frame(res, orig_type)
self.last_result_columns = res_columns
return res
| 36.929193
| 107
| 0.587964
| 3,549
| 29,728
| 4.62581
| 0.069879
| 0.038984
| 0.024365
| 0.01535
| 0.909606
| 0.893403
| 0.890479
| 0.885119
| 0.882439
| 0.86313
| 0
| 0.001948
| 0.326695
| 29,728
| 804
| 108
| 36.975124
| 0.818245
| 0.131459
| 0
| 0.761513
| 0
| 0
| 0.118218
| 0.030216
| 0
| 0
| 0
| 0
| 0.001645
| 1
| 0.03125
| false
| 0
| 0.011513
| 0
| 0.074013
| 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
|
e69bac0d95a484cc682cc3b983cb1fd709bc597a
| 23
|
py
|
Python
|
ch5/5_4.py
|
hajin-kim/2020-HighSchool-Python-Tutoring
|
352025a954bff37d21cc3d59e7d5e0f0269a1f17
|
[
"MIT"
] | null | null | null |
ch5/5_4.py
|
hajin-kim/2020-HighSchool-Python-Tutoring
|
352025a954bff37d21cc3d59e7d5e0f0269a1f17
|
[
"MIT"
] | null | null | null |
ch5/5_4.py
|
hajin-kim/2020-HighSchool-Python-Tutoring
|
352025a954bff37d21cc3d59e7d5e0f0269a1f17
|
[
"MIT"
] | null | null | null |
print(3 - 2 + 5 * 4)
| 5.75
| 20
| 0.391304
| 5
| 23
| 1.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.285714
| 0.391304
| 23
| 3
| 21
| 7.666667
| 0.357143
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| null | 0
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0
| 8
|
e6ad0019aa0debbceb0e97299bec21455f4fe791
| 37,465
|
py
|
Python
|
sdk/python/pulumi_aws/ec2/fleet.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/ec2/fleet.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/ec2/fleet.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"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__ = ['FleetArgs', 'Fleet']
@pulumi.input_type
class FleetArgs:
def __init__(__self__, *,
launch_template_config: pulumi.Input['FleetLaunchTemplateConfigArgs'],
target_capacity_specification: pulumi.Input['FleetTargetCapacitySpecificationArgs'],
excess_capacity_termination_policy: Optional[pulumi.Input[str]] = None,
on_demand_options: Optional[pulumi.Input['FleetOnDemandOptionsArgs']] = None,
replace_unhealthy_instances: Optional[pulumi.Input[bool]] = None,
spot_options: Optional[pulumi.Input['FleetSpotOptionsArgs']] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
terminate_instances: Optional[pulumi.Input[bool]] = None,
terminate_instances_with_expiration: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a Fleet resource.
:param pulumi.Input['FleetLaunchTemplateConfigArgs'] launch_template_config: Nested argument containing EC2 Launch Template configurations. Defined below.
:param pulumi.Input['FleetTargetCapacitySpecificationArgs'] target_capacity_specification: Nested argument containing target capacity configurations. Defined below.
:param pulumi.Input[str] excess_capacity_termination_policy: Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
:param pulumi.Input['FleetOnDemandOptionsArgs'] on_demand_options: Nested argument containing On-Demand configurations. Defined below.
:param pulumi.Input[bool] replace_unhealthy_instances: Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
:param pulumi.Input['FleetSpotOptionsArgs'] spot_options: Nested argument containing Spot configurations. Defined below.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
:param pulumi.Input[bool] terminate_instances: Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
:param pulumi.Input[bool] terminate_instances_with_expiration: Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
:param pulumi.Input[str] type: The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
pulumi.set(__self__, "launch_template_config", launch_template_config)
pulumi.set(__self__, "target_capacity_specification", target_capacity_specification)
if excess_capacity_termination_policy is not None:
pulumi.set(__self__, "excess_capacity_termination_policy", excess_capacity_termination_policy)
if on_demand_options is not None:
pulumi.set(__self__, "on_demand_options", on_demand_options)
if replace_unhealthy_instances is not None:
pulumi.set(__self__, "replace_unhealthy_instances", replace_unhealthy_instances)
if spot_options is not None:
pulumi.set(__self__, "spot_options", spot_options)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if terminate_instances is not None:
pulumi.set(__self__, "terminate_instances", terminate_instances)
if terminate_instances_with_expiration is not None:
pulumi.set(__self__, "terminate_instances_with_expiration", terminate_instances_with_expiration)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="launchTemplateConfig")
def launch_template_config(self) -> pulumi.Input['FleetLaunchTemplateConfigArgs']:
"""
Nested argument containing EC2 Launch Template configurations. Defined below.
"""
return pulumi.get(self, "launch_template_config")
@launch_template_config.setter
def launch_template_config(self, value: pulumi.Input['FleetLaunchTemplateConfigArgs']):
pulumi.set(self, "launch_template_config", value)
@property
@pulumi.getter(name="targetCapacitySpecification")
def target_capacity_specification(self) -> pulumi.Input['FleetTargetCapacitySpecificationArgs']:
"""
Nested argument containing target capacity configurations. Defined below.
"""
return pulumi.get(self, "target_capacity_specification")
@target_capacity_specification.setter
def target_capacity_specification(self, value: pulumi.Input['FleetTargetCapacitySpecificationArgs']):
pulumi.set(self, "target_capacity_specification", value)
@property
@pulumi.getter(name="excessCapacityTerminationPolicy")
def excess_capacity_termination_policy(self) -> Optional[pulumi.Input[str]]:
"""
Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
"""
return pulumi.get(self, "excess_capacity_termination_policy")
@excess_capacity_termination_policy.setter
def excess_capacity_termination_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "excess_capacity_termination_policy", value)
@property
@pulumi.getter(name="onDemandOptions")
def on_demand_options(self) -> Optional[pulumi.Input['FleetOnDemandOptionsArgs']]:
"""
Nested argument containing On-Demand configurations. Defined below.
"""
return pulumi.get(self, "on_demand_options")
@on_demand_options.setter
def on_demand_options(self, value: Optional[pulumi.Input['FleetOnDemandOptionsArgs']]):
pulumi.set(self, "on_demand_options", value)
@property
@pulumi.getter(name="replaceUnhealthyInstances")
def replace_unhealthy_instances(self) -> Optional[pulumi.Input[bool]]:
"""
Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
"""
return pulumi.get(self, "replace_unhealthy_instances")
@replace_unhealthy_instances.setter
def replace_unhealthy_instances(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "replace_unhealthy_instances", value)
@property
@pulumi.getter(name="spotOptions")
def spot_options(self) -> Optional[pulumi.Input['FleetSpotOptionsArgs']]:
"""
Nested argument containing Spot configurations. Defined below.
"""
return pulumi.get(self, "spot_options")
@spot_options.setter
def spot_options(self, value: Optional[pulumi.Input['FleetSpotOptionsArgs']]):
pulumi.set(self, "spot_options", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
"""
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="terminateInstances")
def terminate_instances(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances")
@terminate_instances.setter
def terminate_instances(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "terminate_instances", value)
@property
@pulumi.getter(name="terminateInstancesWithExpiration")
def terminate_instances_with_expiration(self) -> Optional[pulumi.Input[bool]]:
"""
Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances_with_expiration")
@terminate_instances_with_expiration.setter
def terminate_instances_with_expiration(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "terminate_instances_with_expiration", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
@pulumi.input_type
class _FleetState:
def __init__(__self__, *,
excess_capacity_termination_policy: Optional[pulumi.Input[str]] = None,
launch_template_config: Optional[pulumi.Input['FleetLaunchTemplateConfigArgs']] = None,
on_demand_options: Optional[pulumi.Input['FleetOnDemandOptionsArgs']] = None,
replace_unhealthy_instances: Optional[pulumi.Input[bool]] = None,
spot_options: Optional[pulumi.Input['FleetSpotOptionsArgs']] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
target_capacity_specification: Optional[pulumi.Input['FleetTargetCapacitySpecificationArgs']] = None,
terminate_instances: Optional[pulumi.Input[bool]] = None,
terminate_instances_with_expiration: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering Fleet resources.
:param pulumi.Input[str] excess_capacity_termination_policy: Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
:param pulumi.Input['FleetLaunchTemplateConfigArgs'] launch_template_config: Nested argument containing EC2 Launch Template configurations. Defined below.
:param pulumi.Input['FleetOnDemandOptionsArgs'] on_demand_options: Nested argument containing On-Demand configurations. Defined below.
:param pulumi.Input[bool] replace_unhealthy_instances: Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
:param pulumi.Input['FleetSpotOptionsArgs'] spot_options: Nested argument containing Spot configurations. Defined below.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block.
:param pulumi.Input['FleetTargetCapacitySpecificationArgs'] target_capacity_specification: Nested argument containing target capacity configurations. Defined below.
:param pulumi.Input[bool] terminate_instances: Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
:param pulumi.Input[bool] terminate_instances_with_expiration: Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
:param pulumi.Input[str] type: The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
if excess_capacity_termination_policy is not None:
pulumi.set(__self__, "excess_capacity_termination_policy", excess_capacity_termination_policy)
if launch_template_config is not None:
pulumi.set(__self__, "launch_template_config", launch_template_config)
if on_demand_options is not None:
pulumi.set(__self__, "on_demand_options", on_demand_options)
if replace_unhealthy_instances is not None:
pulumi.set(__self__, "replace_unhealthy_instances", replace_unhealthy_instances)
if spot_options is not None:
pulumi.set(__self__, "spot_options", spot_options)
if tags is not None:
pulumi.set(__self__, "tags", tags)
if tags_all is not None:
pulumi.set(__self__, "tags_all", tags_all)
if target_capacity_specification is not None:
pulumi.set(__self__, "target_capacity_specification", target_capacity_specification)
if terminate_instances is not None:
pulumi.set(__self__, "terminate_instances", terminate_instances)
if terminate_instances_with_expiration is not None:
pulumi.set(__self__, "terminate_instances_with_expiration", terminate_instances_with_expiration)
if type is not None:
pulumi.set(__self__, "type", type)
@property
@pulumi.getter(name="excessCapacityTerminationPolicy")
def excess_capacity_termination_policy(self) -> Optional[pulumi.Input[str]]:
"""
Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
"""
return pulumi.get(self, "excess_capacity_termination_policy")
@excess_capacity_termination_policy.setter
def excess_capacity_termination_policy(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "excess_capacity_termination_policy", value)
@property
@pulumi.getter(name="launchTemplateConfig")
def launch_template_config(self) -> Optional[pulumi.Input['FleetLaunchTemplateConfigArgs']]:
"""
Nested argument containing EC2 Launch Template configurations. Defined below.
"""
return pulumi.get(self, "launch_template_config")
@launch_template_config.setter
def launch_template_config(self, value: Optional[pulumi.Input['FleetLaunchTemplateConfigArgs']]):
pulumi.set(self, "launch_template_config", value)
@property
@pulumi.getter(name="onDemandOptions")
def on_demand_options(self) -> Optional[pulumi.Input['FleetOnDemandOptionsArgs']]:
"""
Nested argument containing On-Demand configurations. Defined below.
"""
return pulumi.get(self, "on_demand_options")
@on_demand_options.setter
def on_demand_options(self, value: Optional[pulumi.Input['FleetOnDemandOptionsArgs']]):
pulumi.set(self, "on_demand_options", value)
@property
@pulumi.getter(name="replaceUnhealthyInstances")
def replace_unhealthy_instances(self) -> Optional[pulumi.Input[bool]]:
"""
Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
"""
return pulumi.get(self, "replace_unhealthy_instances")
@replace_unhealthy_instances.setter
def replace_unhealthy_instances(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "replace_unhealthy_instances", value)
@property
@pulumi.getter(name="spotOptions")
def spot_options(self) -> Optional[pulumi.Input['FleetSpotOptionsArgs']]:
"""
Nested argument containing Spot configurations. Defined below.
"""
return pulumi.get(self, "spot_options")
@spot_options.setter
def spot_options(self, value: Optional[pulumi.Input['FleetSpotOptionsArgs']]):
pulumi.set(self, "spot_options", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
"""
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="tagsAll")
def tags_all(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]:
"""
A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block.
"""
return pulumi.get(self, "tags_all")
@tags_all.setter
def tags_all(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]):
pulumi.set(self, "tags_all", value)
@property
@pulumi.getter(name="targetCapacitySpecification")
def target_capacity_specification(self) -> Optional[pulumi.Input['FleetTargetCapacitySpecificationArgs']]:
"""
Nested argument containing target capacity configurations. Defined below.
"""
return pulumi.get(self, "target_capacity_specification")
@target_capacity_specification.setter
def target_capacity_specification(self, value: Optional[pulumi.Input['FleetTargetCapacitySpecificationArgs']]):
pulumi.set(self, "target_capacity_specification", value)
@property
@pulumi.getter(name="terminateInstances")
def terminate_instances(self) -> Optional[pulumi.Input[bool]]:
"""
Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances")
@terminate_instances.setter
def terminate_instances(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "terminate_instances", value)
@property
@pulumi.getter(name="terminateInstancesWithExpiration")
def terminate_instances_with_expiration(self) -> Optional[pulumi.Input[bool]]:
"""
Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances_with_expiration")
@terminate_instances_with_expiration.setter
def terminate_instances_with_expiration(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "terminate_instances_with_expiration", value)
@property
@pulumi.getter
def type(self) -> Optional[pulumi.Input[str]]:
"""
The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
return pulumi.get(self, "type")
@type.setter
def type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "type", value)
class Fleet(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
excess_capacity_termination_policy: Optional[pulumi.Input[str]] = None,
launch_template_config: Optional[pulumi.Input[pulumi.InputType['FleetLaunchTemplateConfigArgs']]] = None,
on_demand_options: Optional[pulumi.Input[pulumi.InputType['FleetOnDemandOptionsArgs']]] = None,
replace_unhealthy_instances: Optional[pulumi.Input[bool]] = None,
spot_options: Optional[pulumi.Input[pulumi.InputType['FleetSpotOptionsArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
target_capacity_specification: Optional[pulumi.Input[pulumi.InputType['FleetTargetCapacitySpecificationArgs']]] = None,
terminate_instances: Optional[pulumi.Input[bool]] = None,
terminate_instances_with_expiration: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
Provides a resource to manage EC2 Fleets.
## Example Usage
```python
import pulumi
import pulumi_aws as aws
example = aws.ec2.Fleet("example",
launch_template_config=aws.ec2.FleetLaunchTemplateConfigArgs(
launch_template_specification=aws.ec2.FleetLaunchTemplateConfigLaunchTemplateSpecificationArgs(
launch_template_id=aws_launch_template["example"]["id"],
version=aws_launch_template["example"]["latest_version"],
),
),
target_capacity_specification=aws.ec2.FleetTargetCapacitySpecificationArgs(
default_target_capacity_type="spot",
total_target_capacity=5,
))
```
## Import
`aws_ec2_fleet` can be imported by using the Fleet identifier, e.g.,
```sh
$ pulumi import aws:ec2/fleet:Fleet example fleet-b9b55d27-c5fc-41ac-a6f3-48fcc91f080c
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] excess_capacity_termination_policy: Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
:param pulumi.Input[pulumi.InputType['FleetLaunchTemplateConfigArgs']] launch_template_config: Nested argument containing EC2 Launch Template configurations. Defined below.
:param pulumi.Input[pulumi.InputType['FleetOnDemandOptionsArgs']] on_demand_options: Nested argument containing On-Demand configurations. Defined below.
:param pulumi.Input[bool] replace_unhealthy_instances: Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
:param pulumi.Input[pulumi.InputType['FleetSpotOptionsArgs']] spot_options: Nested argument containing Spot configurations. Defined below.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
:param pulumi.Input[pulumi.InputType['FleetTargetCapacitySpecificationArgs']] target_capacity_specification: Nested argument containing target capacity configurations. Defined below.
:param pulumi.Input[bool] terminate_instances: Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
:param pulumi.Input[bool] terminate_instances_with_expiration: Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
:param pulumi.Input[str] type: The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: FleetArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a resource to manage EC2 Fleets.
## Example Usage
```python
import pulumi
import pulumi_aws as aws
example = aws.ec2.Fleet("example",
launch_template_config=aws.ec2.FleetLaunchTemplateConfigArgs(
launch_template_specification=aws.ec2.FleetLaunchTemplateConfigLaunchTemplateSpecificationArgs(
launch_template_id=aws_launch_template["example"]["id"],
version=aws_launch_template["example"]["latest_version"],
),
),
target_capacity_specification=aws.ec2.FleetTargetCapacitySpecificationArgs(
default_target_capacity_type="spot",
total_target_capacity=5,
))
```
## Import
`aws_ec2_fleet` can be imported by using the Fleet identifier, e.g.,
```sh
$ pulumi import aws:ec2/fleet:Fleet example fleet-b9b55d27-c5fc-41ac-a6f3-48fcc91f080c
```
:param str resource_name: The name of the resource.
:param FleetArgs 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(FleetArgs, 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,
excess_capacity_termination_policy: Optional[pulumi.Input[str]] = None,
launch_template_config: Optional[pulumi.Input[pulumi.InputType['FleetLaunchTemplateConfigArgs']]] = None,
on_demand_options: Optional[pulumi.Input[pulumi.InputType['FleetOnDemandOptionsArgs']]] = None,
replace_unhealthy_instances: Optional[pulumi.Input[bool]] = None,
spot_options: Optional[pulumi.Input[pulumi.InputType['FleetSpotOptionsArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
target_capacity_specification: Optional[pulumi.Input[pulumi.InputType['FleetTargetCapacitySpecificationArgs']]] = None,
terminate_instances: Optional[pulumi.Input[bool]] = None,
terminate_instances_with_expiration: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = FleetArgs.__new__(FleetArgs)
__props__.__dict__["excess_capacity_termination_policy"] = excess_capacity_termination_policy
if launch_template_config is None and not opts.urn:
raise TypeError("Missing required property 'launch_template_config'")
__props__.__dict__["launch_template_config"] = launch_template_config
__props__.__dict__["on_demand_options"] = on_demand_options
__props__.__dict__["replace_unhealthy_instances"] = replace_unhealthy_instances
__props__.__dict__["spot_options"] = spot_options
__props__.__dict__["tags"] = tags
if target_capacity_specification is None and not opts.urn:
raise TypeError("Missing required property 'target_capacity_specification'")
__props__.__dict__["target_capacity_specification"] = target_capacity_specification
__props__.__dict__["terminate_instances"] = terminate_instances
__props__.__dict__["terminate_instances_with_expiration"] = terminate_instances_with_expiration
__props__.__dict__["type"] = type
__props__.__dict__["tags_all"] = None
super(Fleet, __self__).__init__(
'aws:ec2/fleet:Fleet',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
excess_capacity_termination_policy: Optional[pulumi.Input[str]] = None,
launch_template_config: Optional[pulumi.Input[pulumi.InputType['FleetLaunchTemplateConfigArgs']]] = None,
on_demand_options: Optional[pulumi.Input[pulumi.InputType['FleetOnDemandOptionsArgs']]] = None,
replace_unhealthy_instances: Optional[pulumi.Input[bool]] = None,
spot_options: Optional[pulumi.Input[pulumi.InputType['FleetSpotOptionsArgs']]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
target_capacity_specification: Optional[pulumi.Input[pulumi.InputType['FleetTargetCapacitySpecificationArgs']]] = None,
terminate_instances: Optional[pulumi.Input[bool]] = None,
terminate_instances_with_expiration: Optional[pulumi.Input[bool]] = None,
type: Optional[pulumi.Input[str]] = None) -> 'Fleet':
"""
Get an existing Fleet 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] excess_capacity_termination_policy: Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
:param pulumi.Input[pulumi.InputType['FleetLaunchTemplateConfigArgs']] launch_template_config: Nested argument containing EC2 Launch Template configurations. Defined below.
:param pulumi.Input[pulumi.InputType['FleetOnDemandOptionsArgs']] on_demand_options: Nested argument containing On-Demand configurations. Defined below.
:param pulumi.Input[bool] replace_unhealthy_instances: Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
:param pulumi.Input[pulumi.InputType['FleetSpotOptionsArgs']] spot_options: Nested argument containing Spot configurations. Defined below.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags_all: A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block.
:param pulumi.Input[pulumi.InputType['FleetTargetCapacitySpecificationArgs']] target_capacity_specification: Nested argument containing target capacity configurations. Defined below.
:param pulumi.Input[bool] terminate_instances: Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
:param pulumi.Input[bool] terminate_instances_with_expiration: Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
:param pulumi.Input[str] type: The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _FleetState.__new__(_FleetState)
__props__.__dict__["excess_capacity_termination_policy"] = excess_capacity_termination_policy
__props__.__dict__["launch_template_config"] = launch_template_config
__props__.__dict__["on_demand_options"] = on_demand_options
__props__.__dict__["replace_unhealthy_instances"] = replace_unhealthy_instances
__props__.__dict__["spot_options"] = spot_options
__props__.__dict__["tags"] = tags
__props__.__dict__["tags_all"] = tags_all
__props__.__dict__["target_capacity_specification"] = target_capacity_specification
__props__.__dict__["terminate_instances"] = terminate_instances
__props__.__dict__["terminate_instances_with_expiration"] = terminate_instances_with_expiration
__props__.__dict__["type"] = type
return Fleet(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="excessCapacityTerminationPolicy")
def excess_capacity_termination_policy(self) -> pulumi.Output[Optional[str]]:
"""
Whether running instances should be terminated if the total target capacity of the EC2 Fleet is decreased below the current size of the EC2. Valid values: `no-termination`, `termination`. Defaults to `termination`.
"""
return pulumi.get(self, "excess_capacity_termination_policy")
@property
@pulumi.getter(name="launchTemplateConfig")
def launch_template_config(self) -> pulumi.Output['outputs.FleetLaunchTemplateConfig']:
"""
Nested argument containing EC2 Launch Template configurations. Defined below.
"""
return pulumi.get(self, "launch_template_config")
@property
@pulumi.getter(name="onDemandOptions")
def on_demand_options(self) -> pulumi.Output[Optional['outputs.FleetOnDemandOptions']]:
"""
Nested argument containing On-Demand configurations. Defined below.
"""
return pulumi.get(self, "on_demand_options")
@property
@pulumi.getter(name="replaceUnhealthyInstances")
def replace_unhealthy_instances(self) -> pulumi.Output[Optional[bool]]:
"""
Whether EC2 Fleet should replace unhealthy instances. Defaults to `false`.
"""
return pulumi.get(self, "replace_unhealthy_instances")
@property
@pulumi.getter(name="spotOptions")
def spot_options(self) -> pulumi.Output[Optional['outputs.FleetSpotOptions']]:
"""
Nested argument containing Spot configurations. Defined below.
"""
return pulumi.get(self, "spot_options")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Map of Fleet tags. To tag instances at launch, specify the tags in the Launch Template. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter(name="tagsAll")
def tags_all(self) -> pulumi.Output[Mapping[str, str]]:
"""
A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block.
"""
return pulumi.get(self, "tags_all")
@property
@pulumi.getter(name="targetCapacitySpecification")
def target_capacity_specification(self) -> pulumi.Output['outputs.FleetTargetCapacitySpecification']:
"""
Nested argument containing target capacity configurations. Defined below.
"""
return pulumi.get(self, "target_capacity_specification")
@property
@pulumi.getter(name="terminateInstances")
def terminate_instances(self) -> pulumi.Output[Optional[bool]]:
"""
Whether to terminate instances for an EC2 Fleet if it is deleted successfully. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances")
@property
@pulumi.getter(name="terminateInstancesWithExpiration")
def terminate_instances_with_expiration(self) -> pulumi.Output[Optional[bool]]:
"""
Whether running instances should be terminated when the EC2 Fleet expires. Defaults to `false`.
"""
return pulumi.get(self, "terminate_instances_with_expiration")
@property
@pulumi.getter
def type(self) -> pulumi.Output[Optional[str]]:
"""
The type of request. Indicates whether the EC2 Fleet only requests the target capacity, or also attempts to maintain it. Valid values: `maintain`, `request`. Defaults to `maintain`.
"""
return pulumi.get(self, "type")
| 57.024353
| 304
| 0.706419
| 4,154
| 37,465
| 6.136254
| 0.05585
| 0.068615
| 0.065594
| 0.023852
| 0.92703
| 0.914319
| 0.908356
| 0.902668
| 0.899529
| 0.884425
| 0
| 0.003381
| 0.202616
| 37,465
| 656
| 305
| 57.11128
| 0.849869
| 0.376405
| 0
| 0.785326
| 1
| 0
| 0.176162
| 0.121715
| 0
| 0
| 0
| 0
| 0
| 1
| 0.163043
| false
| 0.002717
| 0.019022
| 0
| 0.279891
| 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
|
fc02a83cbe639e71fae049bf583bf8c42df5e753
| 6,241
|
py
|
Python
|
pandas/tseries/tests/test_cursor.py
|
ssalonen/pandas
|
1929563fdb5358a41420d103a388aa2bd494d543
|
[
"PSF-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1
|
2015-11-25T19:12:03.000Z
|
2015-11-25T19:12:03.000Z
|
pandas/tseries/tests/test_cursor.py
|
pierre-haessig/pandas
|
f9e0b7df8ca8a92133d3cea0a26181140f991e2d
|
[
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null |
pandas/tseries/tests/test_cursor.py
|
pierre-haessig/pandas
|
f9e0b7df8ca8a92133d3cea0a26181140f991e2d
|
[
"PSF-2.0",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null |
"""
class TestNewOffsets(unittest.TestCase):
def test_yearoffset(self):
off = lib.YearOffset(dayoffset=0, biz=0, anchor=datetime(2002,1,1))
for i in range(500):
t = lib.Timestamp(off.ts)
self.assert_(t.day == 1)
self.assert_(t.month == 1)
self.assert_(t.year == 2002 + i)
next(off)
for i in range(499, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t.day == 1)
self.assert_(t.month == 1)
self.assert_(t.year == 2002 + i)
off = lib.YearOffset(dayoffset=-1, biz=0, anchor=datetime(2002,1,1))
for i in range(500):
t = lib.Timestamp(off.ts)
self.assert_(t.month == 12)
self.assert_(t.day == 31)
self.assert_(t.year == 2001 + i)
next(off)
for i in range(499, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t.month == 12)
self.assert_(t.day == 31)
self.assert_(t.year == 2001 + i)
off = lib.YearOffset(dayoffset=-1, biz=-1, anchor=datetime(2002,1,1))
stack = []
for i in range(500):
t = lib.Timestamp(off.ts)
stack.append(t)
self.assert_(t.month == 12)
self.assert_(t.day == 31 or t.day == 30 or t.day == 29)
self.assert_(t.year == 2001 + i)
self.assert_(t.weekday() < 5)
next(off)
for i in range(499, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t == stack.pop())
self.assert_(t.month == 12)
self.assert_(t.day == 31 or t.day == 30 or t.day == 29)
self.assert_(t.year == 2001 + i)
self.assert_(t.weekday() < 5)
def test_monthoffset(self):
off = lib.MonthOffset(dayoffset=0, biz=0, anchor=datetime(2002,1,1))
for i in range(12):
t = lib.Timestamp(off.ts)
self.assert_(t.day == 1)
self.assert_(t.month == 1 + i)
self.assert_(t.year == 2002)
next(off)
for i in range(11, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t.day == 1)
self.assert_(t.month == 1 + i)
self.assert_(t.year == 2002)
off = lib.MonthOffset(dayoffset=-1, biz=0, anchor=datetime(2002,1,1))
for i in range(12):
t = lib.Timestamp(off.ts)
self.assert_(t.day >= 28)
self.assert_(t.month == (12 if i == 0 else i))
self.assert_(t.year == 2001 + (i != 0))
next(off)
for i in range(11, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t.day >= 28)
self.assert_(t.month == (12 if i == 0 else i))
self.assert_(t.year == 2001 + (i != 0))
off = lib.MonthOffset(dayoffset=-1, biz=-1, anchor=datetime(2002,1,1))
stack = []
for i in range(500):
t = lib.Timestamp(off.ts)
stack.append(t)
if t.month != 2:
self.assert_(t.day >= 28)
else:
self.assert_(t.day >= 26)
self.assert_(t.weekday() < 5)
next(off)
for i in range(499, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t == stack.pop())
if t.month != 2:
self.assert_(t.day >= 28)
else:
self.assert_(t.day >= 26)
self.assert_(t.weekday() < 5)
for i in (-2, -1, 1, 2):
for j in (-1, 0, 1):
off1 = lib.MonthOffset(dayoffset=i, biz=j, stride=12,
anchor=datetime(2002,1,1))
off2 = lib.YearOffset(dayoffset=i, biz=j,
anchor=datetime(2002,1,1))
for k in range(500):
self.assert_(off1.ts == off2.ts)
next(off1)
next(off2)
for k in range(500):
self.assert_(off1.ts == off2.ts)
off1.prev()
off2.prev()
def test_dayoffset(self):
off = lib.DayOffset(biz=0, anchor=datetime(2002,1,1))
us_in_day = 1e6 * 60 * 60 * 24
t0 = lib.Timestamp(off.ts)
for i in range(500):
next(off)
t1 = lib.Timestamp(off.ts)
self.assert_(t1.value - t0.value == us_in_day)
t0 = t1
t0 = lib.Timestamp(off.ts)
for i in range(499, -1, -1):
off.prev()
t1 = lib.Timestamp(off.ts)
self.assert_(t0.value - t1.value == us_in_day)
t0 = t1
off = lib.DayOffset(biz=1, anchor=datetime(2002,1,1))
t0 = lib.Timestamp(off.ts)
for i in range(500):
next(off)
t1 = lib.Timestamp(off.ts)
self.assert_(t1.weekday() < 5)
self.assert_(t1.value - t0.value == us_in_day or
t1.value - t0.value == 3 * us_in_day)
t0 = t1
t0 = lib.Timestamp(off.ts)
for i in range(499, -1, -1):
off.prev()
t1 = lib.Timestamp(off.ts)
self.assert_(t1.weekday() < 5)
self.assert_(t0.value - t1.value == us_in_day or
t0.value - t1.value == 3 * us_in_day)
t0 = t1
def test_dayofmonthoffset(self):
for week in (-1, 0, 1):
for day in (0, 2, 4):
off = lib.DayOfMonthOffset(week=-1, day=day,
anchor=datetime(2002,1,1))
stack = []
for i in range(500):
t = lib.Timestamp(off.ts)
stack.append(t)
self.assert_(t.weekday() == day)
next(off)
for i in range(499, -1, -1):
off.prev()
t = lib.Timestamp(off.ts)
self.assert_(t == stack.pop())
self.assert_(t.weekday() == day)
"""
| 31.680203
| 78
| 0.452652
| 813
| 6,241
| 3.389914
| 0.081181
| 0.185051
| 0.171626
| 0.135704
| 0.854862
| 0.838897
| 0.817852
| 0.780479
| 0.780479
| 0.753266
| 0
| 0.08651
| 0.407307
| 6,241
| 196
| 79
| 31.841837
| 0.658556
| 0.997917
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 1
| 0
| 0
| 0
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| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 8
|
fc05d951deda111ddf5710180fc7f6ade078c7af
| 21,751
|
py
|
Python
|
src/nninst/statistics.py
|
uchuhimo/Ptolemy
|
5c8ae188af30ee49d38f27d54c67af2eab9489e7
|
[
"Apache-2.0"
] | 15
|
2020-08-24T07:11:20.000Z
|
2021-09-13T08:03:42.000Z
|
src/nninst/statistics.py
|
uchuhimo/Ptolemy
|
5c8ae188af30ee49d38f27d54c67af2eab9489e7
|
[
"Apache-2.0"
] | 5
|
2021-02-28T17:30:26.000Z
|
2021-06-15T09:33:00.000Z
|
src/nninst/statistics.py
|
uchuhimo/Ptolemy
|
5c8ae188af30ee49d38f27d54c67af2eab9489e7
|
[
"Apache-2.0"
] | 3
|
2020-10-22T09:11:11.000Z
|
2021-01-16T14:49:34.000Z
|
import gc
from functools import reduce
from typing import Callable, Iterable, List, Optional, Tuple, TypeVar
import numpy as np
import pandas as pd
from .graph import AttrMap, Graph
from .trace import AddOp, TraceKey
from .utils import filter_not_null
from .utils.fs import IOAction
from .utils.ray import ray_iter
__all__ = [
"calc_iou",
"calc_iou_compact",
"calc_trace_side_overlap",
"calc_weighted_iou",
"calc_class_trace_side_overlap",
"calc_class_trace_side_overlap_norm",
"calc_trace_side_overlap_compact",
"calc_class_trace_side_overlap_compact",
"calc_trace_side_overlap_both_compact",
"calc_density",
"calc_density_compact",
"calc_space",
"calc_skip_ratio",
"calc_trace_size",
"calc_density_compact_per_layer",
"self_similarity_matrix",
"self_similarity_matrix_ray",
]
T = TypeVar("T")
def calc_iou(trace1: AttrMap, trace2: AttrMap, key: str = TraceKey.EDGE) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = TraceKey.to_array(node_trace1[key])
trace_set2 = TraceKey.to_array(node_trace2[key])
intersect = np.intersect1d(trace_set1, trace_set2)
union = np.union1d(trace_set1, trace_set2)
return len(intersect), len(union)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
return intersect_size / union_size
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in trace1.nodes]
),
)
)
return iou
def calc_iou_frequency(
trace1: AttrMap, trace2: AttrMap, frequency: int, key: str = TraceKey.EDGE
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = (
node_trace1[key].index[node_trace1[key]["count"] > frequency].values
)
trace_set2 = (
node_trace2[key].index[node_trace2[key]["count"] > frequency].values
)
intersect = np.intersect1d(trace_set1, trace_set2)
union = np.union1d(trace_set1, trace_set2)
return len(intersect), len(union)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
if union_size == 0:
return 0
else:
return intersect_size / union_size
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in trace1.nodes]
),
)
)
return iou
def calc_iou_frequency_per_layer(
trace1: AttrMap,
trace2: AttrMap,
node_name: str,
frequency: int,
key: str = TraceKey.EDGE,
) -> float:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = (
node_trace1[key].index[node_trace1[key]["count"] > frequency].values
)
trace_set2 = (
node_trace2[key].index[node_trace2[key]["count"] > frequency].values
)
intersect = np.intersect1d(trace_set1, trace_set2)
union = np.union1d(trace_set1, trace_set2)
if len(union) != 0:
return len(intersect) / len(union)
else:
return 0
else:
return None
def calc_iou_per_layer(
trace1: AttrMap, trace2: AttrMap, node_name: str, key: str = TraceKey.EDGE
) -> float:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = TraceKey.to_array(node_trace1[key])
trace_set2 = TraceKey.to_array(node_trace2[key])
intersect = np.intersect1d(trace_set1, trace_set2)
union = np.union1d(trace_set1, trace_set2)
return len(intersect) / len(union)
else:
return None
def calc_class_trace_side_overlap(
class_trace: AttrMap, trace: AttrMap, key: str = TraceKey.EDGE
) -> float:
def intersect(node_name: str) -> Optional[int]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
class_trace_set = TraceKey.to_array(node_class_trace[key])
trace_set = TraceKey.to_array(node_trace[key])
intersect = np.intersect1d(class_trace_set, trace_set)
return len(intersect)
else:
return None
iou = (
sum(filter_not_null([intersect(node_name) for node_name in class_trace.nodes]))
/ class_trace.attrs[TraceKey.max_of(TraceKey.num_of(key))]
)
return iou
def calc_class_trace_side_overlap_norm(
class_trace: AttrMap, trace: AttrMap, key: str = TraceKey.EDGE
) -> float:
def intersect(node_name: str) -> Optional[int]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
class_trace_set = TraceKey.to_array(node_class_trace[key])
trace_set = TraceKey.to_array(node_trace[key])
intersect = np.intersect1d(class_trace_set, trace_set)
return len(intersect)
else:
return None
iou = (
sum(filter_not_null([intersect(node_name) for node_name in class_trace.nodes]))
- class_trace.attrs[TraceKey.min_of(TraceKey.num_of(key))]
) / class_trace.attrs[TraceKey.max_of(TraceKey.num_of(key))]
return iou
def calc_trace_side_overlap(
class_trace: AttrMap,
trace: AttrMap,
key: str = TraceKey.EDGE,
node_name: str = None,
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
# if key == TraceKey.EDGE and node_name.startswith("max"):
# return None
node_trace = trace.nodes[node_name]
class_trace_set = TraceKey.to_array(node_class_trace[key])
trace_set = TraceKey.to_array(node_trace[key])
intersect = np.intersect1d(class_trace_set, trace_set)
return len(intersect), len(trace_set)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
return intersect_size / union_size
if node_name is None:
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in class_trace.nodes]
),
)
)
else:
iou = intersect_and_union(node_name)
if iou is not None:
iou = get_iou(iou)
return iou
def calc_trace_size(
trace: AttrMap, key: str = TraceKey.EDGE, compact: bool = False
) -> Optional[int]:
def trace_size(node_name: str) -> Optional[int]:
node_trace = trace.nodes[node_name]
if key in node_trace:
if compact:
return np.count_nonzero(np.unpackbits(node_trace[key]))
else:
return TraceKey.to_array(node_trace[key]).size
else:
return None
return sum(filter_not_null([trace_size(node_name) for node_name in trace.nodes]))
def calc_trace_size_per_layer(
trace: AttrMap, layer_name: str, key: str = TraceKey.EDGE, compact: bool = False
) -> Optional[int]:
def trace_size(node_name: str) -> Optional[int]:
node_trace = trace.nodes[node_name]
if key in node_trace:
if compact:
return np.count_nonzero(np.unpackbits(node_trace[key]))
else:
return TraceKey.to_array(node_trace[key]).size
else:
return None
return trace_size(layer_name)
def calc_trace_path_num(trace: AttrMap, layer: str) -> int:
return trace.tensors[layer][TraceKey.PATH]["count"].sum()
def calc_trace_side_overlap_compact(
class_trace: AttrMap,
trace: AttrMap,
key: str = TraceKey.EDGE,
node_name: str = None,
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
class_trace_set = TraceKey.to_array(
np.argwhere(np.unpackbits(node_class_trace[key]))
)
trace_set = TraceKey.to_array(node_trace[key])
intersect = np.intersect1d(class_trace_set, trace_set)
return len(intersect), len(trace_set)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
if union_size == 0:
return 0
else:
return intersect_size / union_size
if node_name is None:
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in class_trace.nodes]
),
)
)
else:
iou = intersect_and_union(node_name)
if iou is not None:
iou = get_iou(iou)
return iou
def calc_trace_side_overlap_both_compact(
class_trace: AttrMap,
trace: AttrMap,
key: str = TraceKey.EDGE,
node_name: str = None,
return_size: bool = False,
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
class_trace_set = node_class_trace[key]
trace_set = node_trace[key]
intersect = np.bitwise_and(class_trace_set, trace_set)
return (
np.count_nonzero(np.unpackbits(intersect)),
np.count_nonzero(np.unpackbits(trace_set)),
)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
if union_size == 0:
return 0
else:
return intersect_size / union_size
if node_name is None:
intersect_size, union_size = reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in class_trace.nodes]
),
)
iou = get_iou((intersect_size, union_size))
if return_size:
return iou, intersect_size
else:
iou = intersect_and_union(node_name)
if iou is not None:
iou = get_iou(iou)
return iou
def calc_class_trace_side_overlap_compact(
class_trace: AttrMap,
trace: AttrMap,
key: str = TraceKey.EDGE,
node_name: str = None,
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
class_trace_set = TraceKey.to_array(
np.argwhere(np.unpackbits(node_class_trace[key]))
)
trace_set = TraceKey.to_array(node_trace[key])
intersect = np.intersect1d(class_trace_set, trace_set)
return len(intersect), len(class_trace_set)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
if union_size == 0:
return 0
else:
return intersect_size / union_size
if node_name is None:
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in class_trace.nodes]
),
)
)
else:
iou = intersect_and_union(node_name)
if iou is not None:
iou = get_iou(iou)
return iou
def calc_weighted_iou(
class_trace: AttrMap,
trace: AttrMap,
key: str = TraceKey.EDGE,
node_name: str = None,
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[float, float]]:
node_class_trace = class_trace.nodes[node_name]
if key in node_class_trace:
node_trace = trace.nodes[node_name]
frame_class_trace = node_class_trace[key]
intersect_mask = np.isin(
TraceKey.to_array(frame_class_trace),
node_trace[key],
assume_unique=True,
)
return (
frame_class_trace["count"].values[intersect_mask].sum()
/ class_trace.attrs[TraceKey.COUNT],
frame_class_trace["count"].values.sum()
/ class_trace.attrs[TraceKey.COUNT],
)
else:
return None
def get_iou(args: Tuple[float, float]) -> float:
intersect_size, union_size = args
return intersect_size / union_size
if node_name is None:
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in class_trace.nodes]
),
)
)
else:
iou = intersect_and_union(node_name)
if iou is not None:
iou = get_iou(iou)
return iou
def calc_iou_compact(
trace1: AttrMap, trace2: AttrMap, key: str = TraceKey.EDGE
) -> float:
def intersect_and_union(node_name: str) -> Optional[Tuple[int, int]]:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = node_trace1[key]
trace_set2 = node_trace2[key]
intersect = np.bitwise_and(trace_set1, trace_set2)
union = np.bitwise_or(trace_set1, trace_set2)
return (
np.count_nonzero(np.unpackbits(intersect)),
np.count_nonzero(np.unpackbits(union)),
)
else:
return None
def get_iou(args: Tuple[int, int]) -> float:
intersect_size, union_size = args
if union_size == 0:
return 0
else:
return intersect_size / union_size
iou = get_iou(
reduce(
lambda x, y: (x[0] + y[0], x[1] + y[1]),
filter_not_null(
[intersect_and_union(node_name) for node_name in trace1.nodes]
),
)
)
return iou
def calc_iou_compact_per_layer(
trace1: AttrMap, trace2: AttrMap, node_name: str, key: str = TraceKey.EDGE
) -> float:
node_trace1 = trace1.nodes[node_name]
if key in node_trace1:
node_trace2 = trace2.nodes[node_name]
trace_set1 = node_trace1[key]
trace_set2 = node_trace2[key]
intersect = np.bitwise_and(trace_set1, trace_set2)
union = np.bitwise_or(trace_set1, trace_set2)
return np.count_nonzero(np.unpackbits(intersect)) / np.count_nonzero(
np.unpackbits(union)
)
else:
return None
def self_similarity_matrix(
iterable: Iterable[T],
trace_fn: Callable[[T], AttrMap],
similarity_fn: Callable[[AttrMap, AttrMap], float],
) -> np.ndarray:
if not isinstance(iterable, list):
iterable = list(iterable)
size = len(iterable)
matrix = np.eye(size, dtype=float)
for i in range(0, size):
for j in range(i + 1, size):
trace_i = trace_fn(iterable[i])
trace_j = trace_fn(iterable[j])
similarity = similarity_fn(trace_i, trace_j)
matrix[i][j] = similarity
matrix[j][i] = similarity
return matrix
def self_similarity_matrix_ray(
partial_path: str,
iterable: Iterable[T],
trace_fn: Callable[[T], AttrMap],
similarity_fn: Callable[[AttrMap, AttrMap], float],
key: str = TraceKey.EDGE,
) -> np.ndarray:
if not isinstance(iterable, list):
iterable = list(iterable)
size = len(iterable)
def calc_similarity(iter_i, iter_j):
trace_i = trace_fn(iter_i)
trace_j = trace_fn(iter_j)
if trace_i is None or trace_j is None:
return 0.0
else:
similarity = similarity_fn(trace_i, trace_j, key=key)
return similarity
def save_and_load_similarity(i, j):
# tr.print_diff()
iter_i = iterable[i]
iter_j = iterable[j]
action = IOAction(
f"{partial_path}/{iter_i}_{iter_j}.pkl",
init_fn=lambda: calc_similarity(iter_i, iter_j),
cache=True,
)
action.save()
return i, j, action.load()
# tr = tracker.SummaryTracker()
similarity_list = ray_iter(
save_and_load_similarity,
[(i, j) for i in range(0, size) for j in range(i + 1, size)],
out_of_order=True,
chunksize=1,
)
matrix = np.eye(size, dtype=float)
for i, j, similarity in similarity_list:
matrix[i][j] = similarity
matrix[j][i] = similarity
print(f"finish i={i}, j={j}")
return matrix
def inter_class_similarity_matrix_ray(
partial_path: str,
iterable: Iterable[T],
trace_fn: Callable[[T, str], AttrMap],
similarity_fn: Callable[[AttrMap, AttrMap], float],
key: str = TraceKey.EDGE,
) -> np.ndarray:
if not isinstance(iterable, list):
iterable = list(iterable)
size = len(iterable)
def calc_similarity(iter_i, iter_j):
trace_i = trace_fn(iter_i, "left")
trace_j = trace_fn(iter_j, "right")
if trace_i is None or trace_j is None:
return 0.0
else:
similarity = similarity_fn(trace_i, trace_j, key=key)
del trace_i
del trace_j
gc.collect()
return similarity
def save_and_load_similarity(i, j):
# tr.print_diff()
iter_i = iterable[i]
iter_j = iterable[j]
action = IOAction(
f"{partial_path}/{iter_i}_{iter_j}.pkl",
init_fn=lambda: calc_similarity(iter_i, iter_j),
cache=True,
)
action.save()
return i, j, action.load()
# tr = tracker.SummaryTracker()
similarity_list = ray_iter(
save_and_load_similarity,
[(i, j) for i in range(0, size) for j in range(i, size)],
out_of_order=True,
chunksize=1,
)
matrix = np.zeros((size, size), dtype=float)
for i, j, similarity in similarity_list:
matrix[i][j] = similarity
matrix[j][i] = similarity
print(f"finish i={i}, j={j}")
return matrix
def calc_density(trace: AttrMap, key: str) -> float:
density = sum(
node[key].size for name, node in trace.nodes.items() if key in node
) / sum(
np.prod(node[key + "_shape"])
for name, node in trace.nodes.items()
if key in node
)
return density
def calc_density_compact(trace: AttrMap, key: str) -> float:
density = sum(
np.count_nonzero(np.unpackbits(node[key]))
for name, node in trace.nodes.items()
if key in node
) / sum(
np.prod(node[key + "_shape"])
for name, node in trace.nodes.items()
if key in node
)
return density
def calc_density_compact_per_layer(
trace: AttrMap, layers: List[str], key: str
) -> pd.DataFrame:
result_layers = []
densities = []
for layer_name in layers:
node = trace.nodes[layer_name]
if key in node:
result_layers.append(layer_name)
densities.append(
np.count_nonzero(np.unpackbits(node[key]))
/ np.prod(node[key + "_shape"])
)
return pd.DataFrame(dict(density=densities), index=result_layers).rename_axis(
"layer"
)
def calc_metrics_compact_per_layer(trace: AttrMap, layers: List[str]) -> pd.DataFrame:
result_layers = []
metrics = []
for layer_name in layers:
node = trace.nodes[layer_name]
for metric_name in TraceKey.METRICS:
result_layers.append(f"{layer_name}/{metric_name}")
metrics.append(node[metric_name])
return pd.DataFrame(dict(value=metrics), index=result_layers).rename_axis(
"layer_metric"
)
def calc_skip_ratio(graph: Graph, layers: List[str]) -> pd.DataFrame:
result_layers = []
skip_ratios = []
for node_name in layers:
node = graph.node(graph.id(node_name))
if isinstance(node, AddOp):
traced_edges = np.unpackbits(node.attrs[TraceKey.EDGE]).reshape(
node.attrs[TraceKey.EDGE_SHAPE]
)
result_layers.append(node.name)
skip_ratios.append(
np.count_nonzero(traced_edges[1]) / np.count_nonzero(traced_edges)
)
return pd.DataFrame(dict(skip_ratio=skip_ratios), index=result_layers).rename_axis(
"layer"
)
def calc_space(trace: AttrMap, key: str) -> int:
return sum(
np.prod(node[key + "_shape"])
for name, node in trace.nodes.items()
if key in node
)
| 31.892962
| 87
| 0.600386
| 2,793
| 21,751
| 4.416398
| 0.05836
| 0.054479
| 0.02951
| 0.035752
| 0.868747
| 0.838022
| 0.810296
| 0.786299
| 0.764167
| 0.755006
| 0
| 0.010892
| 0.299297
| 21,751
| 681
| 88
| 31.939794
| 0.798438
| 0.00754
| 0
| 0.707563
| 0
| 0
| 0.028174
| 0.01696
| 0
| 0
| 0
| 0
| 0
| 1
| 0.082353
| false
| 0
| 0.016807
| 0.003361
| 0.22521
| 0.003361
| 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
|
fc145b48c692098bc8639996347b86c2a5e6a87a
| 15,070
|
py
|
Python
|
tests/causal_refuters/test_dummy_outcome_refuter.py
|
Sid-darthvader/dowhy
|
535cdb47d7eed8988573770769ecea3856180b48
|
[
"MIT"
] | 1
|
2020-12-03T17:28:42.000Z
|
2020-12-03T17:28:42.000Z
|
tests/causal_refuters/test_dummy_outcome_refuter.py
|
Sid-darthvader/dowhy
|
535cdb47d7eed8988573770769ecea3856180b48
|
[
"MIT"
] | null | null | null |
tests/causal_refuters/test_dummy_outcome_refuter.py
|
Sid-darthvader/dowhy
|
535cdb47d7eed8988573770769ecea3856180b48
|
[
"MIT"
] | null | null | null |
import pytest
import numpy as np
import pdb
from .base import TestRefuter
def simple_linear_outcome_model(X_train, output_train):
# The outcome is a linear function of the confounder
# The slope is 1,2 and the intercept is 3
return lambda X_train: X_train[:,0] + 2*X_train[:,1] + 3
@pytest.mark.usefixtures("fixed_seed")
class TestDummyOutcomeRefuter(object):
@pytest.mark.parametrize(["error_tolerence","estimator_method"],
[(0.03, "iv.instrumental_variable")])
def test_refutation_dummy_outcome_refuter_default_continuous_treatment(self, error_tolerence, estimator_method):
refuter_tester = TestRefuter(error_tolerence, estimator_method, "dummy_outcome_refuter")
refuter_tester.continuous_treatment_testsuite()
@pytest.mark.parametrize(["error_tolerence","estimator_method","num_samples"],
[(0.03, "backdoor.propensity_score_matching",1000)])
def test_refutation_dummy_outcome_refuter_default_binary_treatment(self, error_tolerence, estimator_method, num_samples):
refuter_tester = TestRefuter(error_tolerence, estimator_method, "dummy_outcome_refuter")
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method", "transformations"],
[(0.03, "iv.instrumental_variable", [("zero",""),("noise", {'std_dev': 1} )] )] )
def test_refutation_dummy_outcome_refuter_randomly_generated_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite()
@pytest.mark.parametrize(["error_tolerence","estimator_method", "transformations","num_samples"],
[(0.03, "backdoor.propensity_score_matching", [("zero",""),("noise", {'std_dev': 1} )], 1000 )] )
def test_refutation_dummy_outcome_refuter_randomly_generated_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence", "estimator_method", "transformations"],
[(0.03, "iv.instrumental_variable", [("permute", {'permute_fraction' :1} )] )] )
def test_refutation_dummy_outcome_refuter_permute_data_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite()
@pytest.mark.parametrize(["error_tolerence", "estimator_method", "transformations","num_samples"],
[(0.05, "backdoor.propensity_score_matching", [("permute", {'permute_fraction' :1} )], 1000 )] )
def test_refutation_dummy_outcome_refuter_permute_data_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations"],
[(0.03, "iv.instrumental_variable",[(simple_linear_outcome_model, {}), ("noise", {'std_dev': 1} )] )])
def test_refutation_dummy_outcome_refuter_custom_function_linear_regression_with_noise_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(tests_to_run="atleast-one-common-cause")
@pytest.mark.xfail
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.03, "backdoor.propensity_score_matching",[(simple_linear_outcome_model, {}), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_custom_function_linear_regression_with_noise_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations"],
[(0.03, "iv.instrumental_variable",[("permute", {'permute_fraction':0.5}),(simple_linear_outcome_model, {}), ("noise", {'std_dev': 1} )] )])
def test_refutation_dummy_outcome_refuter_custom_function_linear_regression_with_permute_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(tests_to_run="atleast-one-common-cause")
@pytest.mark.xfail
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.03, "backdoor.propensity_score_matching",[("permute", {'permute_fraction':0.5}),(simple_linear_outcome_model, {}), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_custom_function_linear_regression_with_permute_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations"],
[(0.01, "iv.instrumental_variable",[("linear_regression",{}) , ("zero",""), ("noise", {'std_dev': 1} )] )])
def test_refutation_dummy_outcome_refuter_internal_linear_regression_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.01, "backdoor.propensity_score_matching",[("linear_regression",{}) , ("zero",""), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_internal_linear_regression_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method", "transformations"],
[(0.01, "iv.instrumental_variable",[("knn",{'n_neighbors':5}), ("zero",""), ("noise", {'std_dev': 1} )] )])
def test_refutation_dummy_outcome_refuter_internal_knn_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method", "transformations","num_samples"],
[(0.01, "backdoor.propensity_score_matching",[("knn",{'n_neighbors':5}), ("zero",""), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_internal_knn_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(tests_to_run="atleast-one-common-cause", num_samples=num_samples)
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations", "num_samples"],
[(0.01, "iv.instrumental_variable",[("svm",{'C':1,'epsilon':0.2}), ("zero",""), ("noise", {'std_dev': 1} )], 10000 )])
def test_refutation_dummy_outcome_refuter_internal_svm_continuous_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(num_samples=num_samples, tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations", "num_samples"],
[(0.01, "backdoor.propensity_score_matching",[("svm",{'C':1,'epsilon':0.2}), ("zero",""), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_internal_svm_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(num_samples=num_samples, tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.01, "iv.instrumental_variable",[("random_forest",{'max_depth':20}), ("zero",""), ("noise", {'std_dev': 1} )], 10000)])
def test_refutation_dummy_outcome_refuter_internal_random_forest_continuous_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(num_samples,tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.01, "backdoor.propensity_score_matching",[("random_forest",{'max_depth':20}), ("zero",""), ("noise", {'std_dev': 1} )], 1000)])
def test_refutation_dummy_outcome_refuter_internal_random_forest_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(num_samples,tests_to_run="atleast-one-common-cause")
# As we run with only one common cause and one instrument variable we run with (?, 2)
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations"],
[(0.01, "iv.instrumental_variable",[("neural_network",{'solver':'lbfgs', 'alpha':1e-5, 'hidden_layer_sizes':(5,2)}), ("zero",""), ("noise", {'std_dev': 1} )] )])
def test_refutation_dummy_outcome_refuter_internal_neural_network_continuous_treatment(self, error_tolerence, estimator_method, transformations):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.continuous_treatment_testsuite(tests_to_run="atleast-one-common-cause")
@pytest.mark.parametrize(["error_tolerence","estimator_method","transformations","num_samples"],
[(0.01, "backdoor.propensity_score_matching",[("neural_network",{'solver':'lbfgs', 'alpha':1e-5, 'hidden_layer_sizes':(5,2)}), ("zero",""), ("noise", {'std_dev': 1} )], 1000 )])
def test_refutation_dummy_outcome_refuter_internal_neural_network_binary_treatment(self, error_tolerence, estimator_method, transformations, num_samples):
refuter_tester = TestRefuter(error_tolerence,
estimator_method,
"dummy_outcome_refuter",
transformations=transformations)
refuter_tester.binary_treatment_testsuite(num_samples=num_samples, tests_to_run="atleast-one-common-cause")
| 77.680412
| 208
| 0.641407
| 1,415
| 15,070
| 6.417668
| 0.081272
| 0.092501
| 0.151966
| 0.191609
| 0.962559
| 0.959806
| 0.959806
| 0.923907
| 0.903094
| 0.890981
| 0
| 0.014211
| 0.252887
| 15,070
| 194
| 209
| 77.680412
| 0.792344
| 0.011546
| 0
| 0.676829
| 0
| 0
| 0.20381
| 0.095782
| 0
| 0
| 0
| 0
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| 1
| 0.128049
| false
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| 0.02439
| 0.006098
| 0.164634
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| 0
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| 1
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|
0
| 7
|
fc33705d12ed5c4e545f2568b37e0d216e10f078
| 39
|
py
|
Python
|
test/self/empty.py
|
Bin-CI/vaapi-fits
|
9c43ea65f7fe99f11fa3c49bb14d30f5de09f010
|
[
"BSD-3-Clause"
] | 19
|
2019-03-05T01:59:05.000Z
|
2022-01-11T15:31:49.000Z
|
test/self/empty.py
|
Bin-CI/vaapi-fits
|
9c43ea65f7fe99f11fa3c49bb14d30f5de09f010
|
[
"BSD-3-Clause"
] | 213
|
2019-01-29T18:44:05.000Z
|
2022-03-30T05:57:04.000Z
|
test/self/empty.py
|
Bin-CI/vaapi-fits
|
9c43ea65f7fe99f11fa3c49bb14d30f5de09f010
|
[
"BSD-3-Clause"
] | 26
|
2019-01-29T05:21:22.000Z
|
2022-02-09T00:57:35.000Z
|
import slash
def test_empty():
pass
| 7.8
| 17
| 0.717949
| 6
| 39
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| 39
| 4
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| 9.75
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| 0.333333
| true
| 0.333333
| 0.333333
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| 0.666667
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|
0
| 7
|
fc59129eed8d7f230d4eca06d4fe4f49d700157f
| 15,194
|
py
|
Python
|
notebooks/scripts/.ipynb_checkpoints/santa_fe-checkpoint.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 4
|
2018-02-08T17:34:58.000Z
|
2021-09-20T01:37:32.000Z
|
notebooks/scripts/.ipynb_checkpoints/santa_fe-checkpoint.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 1
|
2018-02-09T09:59:09.000Z
|
2018-02-09T10:52:26.000Z
|
notebooks/scripts/.ipynb_checkpoints/santa_fe-checkpoint.py
|
Jarino/pycgp
|
c3281c0deff3388cb7cfd79339b84391f6499ae1
|
[
"MIT"
] | 1
|
2018-12-12T03:51:33.000Z
|
2018-12-12T03:51:33.000Z
|
from pycgp.benchmarks.santafe import PARAMS, EV_PARAMS, X, santafe_cost_function
from pycgp.evolution import evolution
from pycgp.counter import Counter
import random
import numpy as np
from time import time
import pandas as pd
experiment_count = 0
y=None
def run_experiment(params, ev_params, x, y):
global experiment_count
experiment_count += 1
print('Experiment #{}'.format(experiment_count))
start = time()
rstat = []
n_better = []
n_worse = []
n_same = []
for i in range(0, 10):
print(i, end=', ')
result = evolution(PARAMS, EV_PARAMS, X, None)
rstat.append([EV_PARAMS['cost_func'](y, individual.execute(X)) for individual in result['final']])
n_better.append(Counter.get().dict['g_better'])
n_worse.append(Counter.get().dict['g_worse'])
n_same.append(Counter.get().dict['g_same_as_parent'])
#print('Best fitness: {}'.format(np.min(stats)))
#print('mean and std of fitness of last generation: {}, {}'.format(np.mean(stats), np.std(stats)))
#print('Mean and std of best fitness: {}, {}'.format(np.mean(np.min(stats, axis=1)), np.std(np.min(stats, axis=1))))
# best fitness, mean of last generation, std of last generation, mean of best individual, std of best individual
results = [
np.min(rstat), np.mean(rstat), np.std(rstat), np.mean(np.min(rstat, axis=1)), np.std(np.min(rstat, axis=1)),
np.sum(n_better), np.mean(n_better),
np.sum(n_worse), np.mean(n_worse),
np.sum(n_same), np.mean(n_same)
]
print(results)
end = time()
print('wall time {}'.format(end-start))
return results
from pycgp.mutation import point_mutation
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['mutation'] = point_mutation
EV_PARAMS['expire_gems'] = 0
#
# POINT MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# POINT MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# POINT MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# POINT MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# POINT MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
df = pd.DataFrame.from_dict(all_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/santafe_pm.csv')
#########################################################################
#
# Single mutation, match all
#
#########################################################################
from pycgp.mutation import single_mutation
from pycgp.gems import GemSM, MatchSMStrategy
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchSMStrategy
EV_PARAMS['mutation'] = single_mutation
EV_PARAMS['expire_gems'] = 0
#
# SINGLE MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
df = pd.DataFrame.from_dict(all_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/santafe_sm_all.csv')
#########################################################################
#
# Single mutation, match active
#
#########################################################################
from pycgp.mutation import single_mutation
from pycgp.gems import MatchByActiveStrategy
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchByActiveStrategy
EV_PARAMS['mutation'] = single_mutation
#
# SINGLE MUTATION
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# SINGLE MUTATION
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
df = pd.DataFrame.from_dict(all_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/santafe_sm_active.csv')
#########################################################################
#
# Probabilistic mutation, match all
#
#########################################################################
from pycgp.mutation import probabilistic_mutation
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchSMStrategy
EV_PARAMS['mutation'] = probabilistic_mutation
#
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
df = pd.DataFrame.from_dict(all_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/santafe_probm_all.csv')
#########################################################################
#
# Probabilistic mutation, match active
#
#########################################################################
from pycgp.mutation import probabilistic_mutation
all_measurements = {}
EV_PARAMS['gems'] = 0
EV_PARAMS['gem_type'] = GemSM
EV_PARAMS['match_strategy'] = MatchByActiveStrategy
EV_PARAMS['mutation'] = probabilistic_mutation
#
# without gems
#
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,0,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 5, expire 0
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 5, expire 30
#
EV_PARAMS['gems'] = 5
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,5,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 30
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 0
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,0'] = run_experiment(PARAMS, EV_PARAMS, X, y)
#
# with gems, 10, expire 0
#
EV_PARAMS['gems'] = 10
EV_PARAMS['expire_gems'] = 30
random.seed(1)
PARAMS['n_cols'] = 10
all_measurements['10,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 50
all_measurements['50,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
random.seed(1)
PARAMS['n_cols'] = 100
all_measurements['100,10,30'] = run_experiment(PARAMS, EV_PARAMS, X, y)
df = pd.DataFrame.from_dict(all_measurements, orient='index')
df.columns = ['best fitness', 'mean of last gen', 'std of last gen', 'mean of best individual', 'std of best indvidiual',
'g_better', 'g_better avg', 'g_worse', 'g_worse avg', 'g_same', 'g_same avg']
df.to_csv('out/santafe_probm_active.csv')
| 25.450586
| 121
| 0.672239
| 2,401
| 15,194
| 4.052478
| 0.043732
| 0.112641
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| 0.120247
| 0.902158
| 0.889414
| 0.873998
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| 0
| 0.057959
| 0.126761
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| 122
| 25.493289
| 0.675384
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| 0.874286
| 0
| 0
| 0.178011
| 0.007546
| 0
| 0
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| 0
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| 1
| 0.002857
| false
| 0
| 0.04
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| 0.045714
| 0.011429
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| null | 0
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0
| 7
|
fc737465e85d6143b2252183acb00f0998fb4469
| 32,163
|
py
|
Python
|
tests/providers/captured_responses.py
|
cauethenorio/django-simplecep
|
acab8a99fe3df8c6a2f01909c07fa36b1ea2d922
|
[
"MIT"
] | 3
|
2020-10-18T16:29:32.000Z
|
2021-09-22T12:10:19.000Z
|
tests/providers/captured_responses.py
|
cauethenorio/django-simplecep
|
acab8a99fe3df8c6a2f01909c07fa36b1ea2d922
|
[
"MIT"
] | 6
|
2019-11-26T01:18:43.000Z
|
2022-02-10T12:50:16.000Z
|
tests/providers/captured_responses.py
|
cauethenorio/django-simplecep
|
acab8a99fe3df8c6a2f01909c07fa36b1ea2d922
|
[
"MIT"
] | 1
|
2020-03-31T03:52:13.000Z
|
2020-03-31T03:52:13.000Z
|
# This file was generated by the "capture_real_responses.py" script.
# On Wed, 20 Nov 2019 19:34:18 +0000.
#
# To update it run:
# python -m tests.providers.capture_real_responses
captured_responses = [
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>01001000</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>S\xe9</bairro><cep>01001000</cep><cidade>S\xe3o Paulo</cidade><complemento2>- lado \xedmpar</complemento2><end>Pra\xe7a da S\xe9</end><uf>SP</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=01001000&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"resultado":"1","resultado_txt":"sucesso - cep completo","uf":"SP","cidade":"S\\u00e3o Paulo","bairro":"S\\u00e9","tipo_logradouro":"Pra\\u00e7a","logradouro":"da S\\u00e9"}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/01001000/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "01001-000",\n "logradouro": "Pra\\u00e7a da S\\u00e9",\n "complemento": "lado \\u00edmpar",\n "bairro": "S\\u00e9",\n "localidade": "S\\u00e3o Paulo",\n "uf": "SP",\n "unidade": "",\n "ibge": "3550308",\n "gia": "1004"\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>57010240</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>Prado</bairro><cep>57010240</cep><cidade>Macei\xf3</cidade><complemento2></complemento2><end>Rua Desembargador Inoc\xeancio Lins</end><uf>AL</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=57010240&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"resultado":"1","resultado_txt":"sucesso - cep completo","uf":"AL","cidade":"Macei\\u00f3","bairro":"Prado","tipo_logradouro":"Rua","logradouro":"Desembargador Inoc\\u00eancio Lins"}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/57010240/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "57010-240",\n "logradouro": "Rua Desembargador Inoc\\u00eancio Lins",\n "complemento": "",\n "bairro": "Prado",\n "localidade": "Macei\\u00f3",\n "uf": "AL",\n "unidade": "",\n "ibge": "2704302",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>18170000</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro></bairro><cep>18170000</cep><cidade>Piedade</cidade><complemento2></complemento2><end></end><uf>SP</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=18170000&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"resultado":"2","resultado_txt":"sucesso - cep \\u00fanico","uf":"SP","cidade":"Piedade","bairro":"","tipo_logradouro":"","logradouro":"","debug":" - encontrado via search_db cep unico - "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/18170000/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "18170-000",\n "logradouro": "",\n "complemento": "",\n "bairro": "",\n "localidade": "Piedade",\n "uf": "SP",\n "unidade": "",\n "ibge": "3537800",\n "gia": "5265"\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>78175000</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro></bairro><cep>78175000</cep><cidade>Pocon\xe9</cidade><complemento2></complemento2><end></end><uf>MT</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=78175000&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"resultado":"2","resultado_txt":"sucesso - cep \\u00fanico","uf":"MT","cidade":"Pocon\\u00e9","bairro":"","tipo_logradouro":"","logradouro":"","debug":" - encontrado via search_db cep unico - "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/78175000/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "78175-000",\n "logradouro": "",\n "complemento": "",\n "bairro": "",\n "localidade": "Pocon\\u00e9",\n "uf": "MT",\n "unidade": "",\n "ibge": "5106505",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>63200970</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>Centro</bairro><cep>63200970</cep><cidade>Miss\xe3o Velha</cidade><complemento2></complemento2><end>Rua Jos\xe9 Sobreira da Cruz 271</end><uf>CE</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=63200970&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"CE","cidade":"Miss\\u00e3o Velha","bairro":"Centro\\u00a0","tipo_logradouro":"Rua","logradouro":"Jos\\u00e9 Sobreira da Cruz, 271 "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/63200970/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "63200-970",\n "logradouro": "Rua Jos\\u00e9 Sobreira da Cruz 271",\n "complemento": "",\n "bairro": "Centro",\n "localidade": "Miss\\u00e3o Velha",\n "uf": "CE",\n "unidade": "",\n "ibge": "2308401",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>69096970</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>Cidade Nova</bairro><cep>69096970</cep><cidade>Manaus</cidade><complemento2></complemento2><end>Avenida Noel Nutels 1350</end><uf>AM</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=69096970&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"AM","cidade":"Manaus","bairro":"Cidade Nova\\u00a0","tipo_logradouro":"Avenida","logradouro":"Noel Nutels, 1350 "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/69096970/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "69096-970",\n "logradouro": "Avenida Noel Nutels 1350",\n "complemento": "",\n "bairro": "Cidade Nova",\n "localidade": "Manaus",\n "uf": "AM",\n "unidade": "",\n "ibge": "1302603",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>20010974</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>Centro</bairro><cep>20010974</cep><cidade>Rio de Janeiro</cidade><complemento2></complemento2><end>Rua Primeiro de Mar\xe7o 64</end><uf>RJ</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=20010974&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"RJ","cidade":"Rio de Janeiro","bairro":"Centro\\u00a0","tipo_logradouro":"Rua","logradouro":"Primeiro de Mar\\u00e7o, 64 "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/20010974/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "20010-974",\n "logradouro": "Rua Primeiro de Mar\\u00e7o",\n "complemento": "64",\n "bairro": "Centro",\n "localidade": "Rio de Janeiro",\n "uf": "RJ",\n "unidade": "",\n "ibge": "3304557",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>96010900</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro>Centro</bairro><cep>96010900</cep><cidade>Pelotas</cidade><complemento2></complemento2><end>Rua Tiradentes 2515</end><uf>RS</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=96010900&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"RS","cidade":"Pelotas","bairro":"Centro\\u00a0","tipo_logradouro":"Rua","logradouro":"Tiradentes, 2515 "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/96010900/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "96010-900",\n "logradouro": "Rua Tiradentes",\n "complemento": "2515",\n "bairro": "Centro",\n "localidade": "Pelotas",\n "uf": "RS",\n "unidade": "",\n "ibge": "4314407",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>38101990</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro></bairro><cep>38101990</cep><cidade>Baixa (Uberaba)</cidade><complemento2></complemento2><end>Rua Bas\xedlio Eug\xeanio dos Santos</end><uf>MG</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=38101990&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"MG - Distrito","cidade":"Baixa (Uberaba)","bairro":"\\u00a0","tipo_logradouro":"Rua","logradouro":"Bas\\u00edlio Eug\\u00eanio dos Santos "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/38101990/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "38101-990",\n "logradouro": "Rua Bas\\u00edlio Eug\\u00eanio dos Santos",\n "complemento": "",\n "bairro": "Baixa",\n "localidade": "Uberaba",\n "uf": "MG",\n "unidade": "",\n "ibge": "3170107",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>76840000</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro></bairro><cep>76840000</cep><cidade>Jaci Paran\xe1 (Porto Velho)</cidade><complemento2></complemento2><end></end><uf>RO</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=76840000&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"2","resultado_txt":"sucesso - cep \\u00fanico","uf":"RO - Distrito","cidade":"Jaci Paran\\u00e1 (Porto Velho)","bairro":"\\u00a0","tipo_logradouro":"","logradouro":""}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/76840000/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "76840-000",\n "logradouro": "",\n "complemento": "",\n "bairro": "",\n "localidade": "Jaci Paran\\u00e1 (Porto Velho)",\n "uf": "RO",\n "unidade": "",\n "ibge": "1100205",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>86055991</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"><return><bairro></bairro><cep>86055991</cep><cidade>Londrina</cidade><complemento2></complemento2><end>Rodovia M\xe1bio Gon\xe7alves Palhano, s/n</end><uf>PR</uf></return></ns2:consultaCEPResponse></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=86055991&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"1","resultado_txt":"sucesso - cep completo","uf":"PR","cidade":"Londrina","bairro":"\\u00a0","tipo_logradouro":"Rodovia","logradouro":"M\\u00e1bio Gon\\u00e7alves Palhano, s\\/n "}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/86055991/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {
"type": "success",
"data": b'{\n "cep": "86055-991",\n "logradouro": "Rodovia M\\u00e1bio Gon\\u00e7alves Palhano",\n "complemento": "s/n",\n "bairro": "",\n "localidade": "Londrina",\n "uf": "PR",\n "unidade": "",\n "ibge": "4113700",\n "gia": ""\n}',
},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>00000000</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "error",
"status": 500,
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><soap:Fault><faultcode>soap:Server</faultcode><faultstring>CEP INV\xc1LIDO</faultstring><detail><ns2:SigepClienteException xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/">CEP INV\xc1LIDO</ns2:SigepClienteException></detail></soap:Fault></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=00000000&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"0","resultado_txt":"sucesso - cep n\\u00e3o encontrado","uf":"","cidade":"","bairro":"","tipo_logradouro":"","logradouro":""}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/00000000/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {"type": "success", "data": b'{\n "erro": true\n}'},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>11111111</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "error",
"status": 500,
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><soap:Fault><faultcode>soap:Server</faultcode><faultstring>CEP INV\xc1LIDO</faultstring><detail><ns2:SigepClienteException xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/">CEP INV\xc1LIDO</ns2:SigepClienteException></detail></soap:Fault></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=11111111&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"0","resultado_txt":"sucesso - cep n\\u00e3o encontrado","uf":"","cidade":"","bairro":"","tipo_logradouro":"","logradouro":""}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/11111111/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {"type": "success", "data": b'{\n "erro": true\n}'},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>99999999</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "error",
"status": 500,
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><soap:Fault><faultcode>soap:Server</faultcode><faultstring>CEP INV\xc1LIDO</faultstring><detail><ns2:SigepClienteException xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/">CEP INV\xc1LIDO</ns2:SigepClienteException></detail></soap:Fault></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=99999999&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"0","resultado_txt":"sucesso - cep n\\u00e3o encontrado","uf":"","cidade":"","bairro":"","tipo_logradouro":"","logradouro":""}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/99999999/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {"type": "success", "data": b'{\n "erro": true\n}'},
},
{
"request": {
"full_url": "https://apps.correios.com.br/SigepMasterJPA/AtendeClienteService/AtendeCliente",
"method": "POST",
"headers": {},
"data": bytearray(
b'<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/" xmlns:cli="http://cliente.bean.master.sigep.bsb.correios.com.br/">\n <soapenv:Header/>\n <soapenv:Body>\n <cli:consultaCEP>\n <cep>01111110</cep>\n </cli:consultaCEP>\n </soapenv:Body>\n </soapenv:Envelope>'
),
},
"response": {
"type": "success",
"data": b'<soap:Envelope xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/"><soap:Body><ns2:consultaCEPResponse xmlns:ns2="http://cliente.bean.master.sigep.bsb.correios.com.br/"/></soap:Body></soap:Envelope>',
},
},
{
"request": {
"full_url": "http://cep.republicavirtual.com.br/web_cep.php?cep=01111110&formato=json",
"method": "GET",
"headers": {"Accept": "application/json"},
"data": None,
},
"response": {
"type": "success",
"data": b'{"debug":" - nao encontrado via search_db cep unico - ","resultado":"0","resultado_txt":"sucesso - cep n\\u00e3o encontrado","uf":"","cidade":"","bairro":"","tipo_logradouro":"","logradouro":""}',
},
},
{
"request": {
"full_url": "https://viacep.com.br/ws/01111110/json/unicode/",
"method": "GET",
"headers": {},
"data": None,
},
"response": {"type": "success", "data": b'{\n "erro": true\n}'},
},
]
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0
| 8
|
fc7cd664e8b02837045ae83cd7514d3c76c6d7c2
| 131,101
|
py
|
Python
|
sdks/python/http_client/v1/polyaxon_sdk/api/projects_v1_api.py
|
gideonbros/polyaxon
|
482a756b781e3cb749cc871a275689d1ad16c028
|
[
"Apache-2.0"
] | null | null | null |
sdks/python/http_client/v1/polyaxon_sdk/api/projects_v1_api.py
|
gideonbros/polyaxon
|
482a756b781e3cb749cc871a275689d1ad16c028
|
[
"Apache-2.0"
] | null | null | null |
sdks/python/http_client/v1/polyaxon_sdk/api/projects_v1_api.py
|
gideonbros/polyaxon
|
482a756b781e3cb749cc871a275689d1ad16c028
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, 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.
# coding: utf-8
"""
Polyaxon SDKs and REST API specification.
Polyaxon SDKs and REST API specification. # noqa: E501
The version of the OpenAPI document: 1.10.1
Contact: contact@polyaxon.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from polyaxon_sdk.api_client import ApiClient
from polyaxon_sdk.exceptions import ( # noqa: F401
ApiTypeError,
ApiValueError
)
class ProjectsV1Api(object):
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def archive_project(self, owner, name, **kwargs): # noqa: E501
"""Archive project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.archive_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.archive_project_with_http_info(owner, name, **kwargs) # noqa: E501
def archive_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Archive project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.archive_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method archive_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `archive_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `archive_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/archive', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def bookmark_project(self, owner, name, **kwargs): # noqa: E501
"""Bookmark project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.bookmark_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.bookmark_project_with_http_info(owner, name, **kwargs) # noqa: E501
def bookmark_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Bookmark project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.bookmark_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method bookmark_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `bookmark_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `bookmark_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/bookmark', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def create_project(self, owner, body, **kwargs): # noqa: E501
"""Create new project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_project(owner, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param V1Project body: Project body (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Project
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.create_project_with_http_info(owner, body, **kwargs) # noqa: E501
def create_project_with_http_info(self, owner, body, **kwargs): # noqa: E501
"""Create new project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_project_with_http_info(owner, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param V1Project body: Project body (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1Project, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method create_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `create_project`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `create_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/projects/create', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1Project', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_project(self, owner, name, **kwargs): # noqa: E501
"""Delete project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.delete_project_with_http_info(owner, name, **kwargs) # noqa: E501
def delete_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Delete project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `delete_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `delete_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def disable_project_ci(self, owner, name, **kwargs): # noqa: E501
"""Disbale project CI # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.disable_project_ci(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.disable_project_ci_with_http_info(owner, name, **kwargs) # noqa: E501
def disable_project_ci_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Disbale project CI # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.disable_project_ci_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method disable_project_ci" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `disable_project_ci`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `disable_project_ci`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/ci', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def enable_project_ci(self, owner, name, **kwargs): # noqa: E501
"""Enable project CI # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.enable_project_ci(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.enable_project_ci_with_http_info(owner, name, **kwargs) # noqa: E501
def enable_project_ci_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Enable project CI # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.enable_project_ci_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method enable_project_ci" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `enable_project_ci`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `enable_project_ci`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/ci', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_project(self, owner, name, **kwargs): # noqa: E501
"""Get project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Project
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_project_with_http_info(owner, name, **kwargs) # noqa: E501
def get_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Get project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1Project, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `get_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `get_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1Project', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_project_activities(self, owner, name, **kwargs): # noqa: E501
"""Get project activities # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_activities(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Entity managing the resource (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param str mode: Mode of the search.
:param bool no_page: No pagination.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ListActivitiesResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_project_activities_with_http_info(owner, name, **kwargs) # noqa: E501
def get_project_activities_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Get project activities # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_activities_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Entity managing the resource (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param str mode: Mode of the search.
:param bool no_page: No pagination.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ListActivitiesResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name',
'offset',
'limit',
'sort',
'query',
'mode',
'no_page'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_project_activities" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `get_project_activities`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `get_project_activities`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'mode' in local_var_params and local_var_params['mode'] is not None: # noqa: E501
query_params.append(('mode', local_var_params['mode'])) # noqa: E501
if 'no_page' in local_var_params and local_var_params['no_page'] is not None: # noqa: E501
query_params.append(('no_page', local_var_params['no_page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/activities', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ListActivitiesResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_project_settings(self, owner, name, **kwargs): # noqa: E501
"""Get Project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_settings(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ProjectSettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_project_settings_with_http_info(owner, name, **kwargs) # noqa: E501
def get_project_settings_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Get Project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_settings_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ProjectSettings, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_project_settings" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `get_project_settings`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `get_project_settings`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/settings', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ProjectSettings', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def get_project_stats(self, owner, name, **kwargs): # noqa: E501
"""Get project stats # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_stats(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Entity managing the resource (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param str kind: Stats Kind.
:param str aggregate: Stats aggregate.
:param str groupby: Stats group.
:param str trunc: Stats trunc.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: object
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.get_project_stats_with_http_info(owner, name, **kwargs) # noqa: E501
def get_project_stats_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Get project stats # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_project_stats_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Entity managing the resource (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param str kind: Stats Kind.
:param str aggregate: Stats aggregate.
:param str groupby: Stats group.
:param str trunc: Stats trunc.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(object, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name',
'offset',
'limit',
'sort',
'query',
'kind',
'aggregate',
'groupby',
'trunc'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method get_project_stats" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `get_project_stats`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `get_project_stats`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'kind' in local_var_params and local_var_params['kind'] is not None: # noqa: E501
query_params.append(('kind', local_var_params['kind'])) # noqa: E501
if 'aggregate' in local_var_params and local_var_params['aggregate'] is not None: # noqa: E501
query_params.append(('aggregate', local_var_params['aggregate'])) # noqa: E501
if 'groupby' in local_var_params and local_var_params['groupby'] is not None: # noqa: E501
query_params.append(('groupby', local_var_params['groupby'])) # noqa: E501
if 'trunc' in local_var_params and local_var_params['trunc'] is not None: # noqa: E501
query_params.append(('trunc', local_var_params['trunc'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/stats', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='object', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_archived_projects(self, user, **kwargs): # noqa: E501
"""List archived projects for user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_archived_projects(user, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str user: User (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ListProjectsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_archived_projects_with_http_info(user, **kwargs) # noqa: E501
def list_archived_projects_with_http_info(self, user, **kwargs): # noqa: E501
"""List archived projects for user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_archived_projects_with_http_info(user, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str user: User (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ListProjectsResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'user',
'offset',
'limit',
'sort',
'query',
'no_page'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method list_archived_projects" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in local_var_params or # noqa: E501
local_var_params['user'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `user` when calling `list_archived_projects`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user' in local_var_params:
path_params['user'] = local_var_params['user'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'no_page' in local_var_params and local_var_params['no_page'] is not None: # noqa: E501
query_params.append(('no_page', local_var_params['no_page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/archives/{user}/projects', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ListProjectsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_bookmarked_projects(self, user, **kwargs): # noqa: E501
"""List bookmarked projects for user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_bookmarked_projects(user, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str user: User (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ListBookmarksResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_bookmarked_projects_with_http_info(user, **kwargs) # noqa: E501
def list_bookmarked_projects_with_http_info(self, user, **kwargs): # noqa: E501
"""List bookmarked projects for user # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_bookmarked_projects_with_http_info(user, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str user: User (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ListBookmarksResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'user',
'offset',
'limit',
'sort',
'query',
'no_page'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method list_bookmarked_projects" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'user' is set
if self.api_client.client_side_validation and ('user' not in local_var_params or # noqa: E501
local_var_params['user'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `user` when calling `list_bookmarked_projects`") # noqa: E501
collection_formats = {}
path_params = {}
if 'user' in local_var_params:
path_params['user'] = local_var_params['user'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'no_page' in local_var_params and local_var_params['no_page'] is not None: # noqa: E501
query_params.append(('no_page', local_var_params['no_page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/bookmarks/{user}/projects', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ListBookmarksResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_project_names(self, owner, **kwargs): # noqa: E501
"""List project names # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_project_names(owner, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ListProjectsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_project_names_with_http_info(owner, **kwargs) # noqa: E501
def list_project_names_with_http_info(self, owner, **kwargs): # noqa: E501
"""List project names # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_project_names_with_http_info(owner, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ListProjectsResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'offset',
'limit',
'sort',
'query',
'no_page'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method list_project_names" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `list_project_names`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'no_page' in local_var_params and local_var_params['no_page'] is not None: # noqa: E501
query_params.append(('no_page', local_var_params['no_page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/projects/names', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ListProjectsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_projects(self, owner, **kwargs): # noqa: E501
"""List projects # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_projects(owner, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ListProjectsResponse
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.list_projects_with_http_info(owner, **kwargs) # noqa: E501
def list_projects_with_http_info(self, owner, **kwargs): # noqa: E501
"""List projects # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.list_projects_with_http_info(owner, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param int offset: Pagination offset.
:param int limit: Limit size.
:param str sort: Sort to order the search.
:param str query: Query filter the search.
:param bool no_page: No pagination.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ListProjectsResponse, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'offset',
'limit',
'sort',
'query',
'no_page'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method list_projects" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `list_projects`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
query_params = []
if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501
query_params.append(('offset', local_var_params['offset'])) # noqa: E501
if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501
query_params.append(('limit', local_var_params['limit'])) # noqa: E501
if 'sort' in local_var_params and local_var_params['sort'] is not None: # noqa: E501
query_params.append(('sort', local_var_params['sort'])) # noqa: E501
if 'query' in local_var_params and local_var_params['query'] is not None: # noqa: E501
query_params.append(('query', local_var_params['query'])) # noqa: E501
if 'no_page' in local_var_params and local_var_params['no_page'] is not None: # noqa: E501
query_params.append(('no_page', local_var_params['no_page'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/projects/list', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ListProjectsResponse', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def patch_project(self, owner, project_name, body, **kwargs): # noqa: E501
"""Patch project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_project(owner, project_name, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project_name: Required name (required)
:param V1Project body: Project body (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Project
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.patch_project_with_http_info(owner, project_name, body, **kwargs) # noqa: E501
def patch_project_with_http_info(self, owner, project_name, body, **kwargs): # noqa: E501
"""Patch project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_project_with_http_info(owner, project_name, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project_name: Required name (required)
:param V1Project body: Project body (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1Project, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'project_name',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method patch_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `patch_project`") # noqa: E501
# verify the required parameter 'project_name' is set
if self.api_client.client_side_validation and ('project_name' not in local_var_params or # noqa: E501
local_var_params['project_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `project_name` when calling `patch_project`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `patch_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'project_name' in local_var_params:
path_params['project.name'] = local_var_params['project_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{project.name}', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1Project', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def patch_project_settings(self, owner, project, body, **kwargs): # noqa: E501
"""Patch project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_project_settings(owner, project, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project name (required)
:param V1ProjectSettings body: Project settings body (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ProjectSettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.patch_project_settings_with_http_info(owner, project, body, **kwargs) # noqa: E501
def patch_project_settings_with_http_info(self, owner, project, body, **kwargs): # noqa: E501
"""Patch project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_project_settings_with_http_info(owner, project, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project name (required)
:param V1ProjectSettings body: Project settings body (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ProjectSettings, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'project',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method patch_project_settings" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `patch_project_settings`") # noqa: E501
# verify the required parameter 'project' is set
if self.api_client.client_side_validation and ('project' not in local_var_params or # noqa: E501
local_var_params['project'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `project` when calling `patch_project_settings`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `patch_project_settings`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'project' in local_var_params:
path_params['project'] = local_var_params['project'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{project}/settings', 'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ProjectSettings', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def restore_project(self, owner, name, **kwargs): # noqa: E501
"""Restore project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.restore_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.restore_project_with_http_info(owner, name, **kwargs) # noqa: E501
def restore_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Restore project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.restore_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method restore_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `restore_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `restore_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/restore', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def unbookmark_project(self, owner, name, **kwargs): # noqa: E501
"""Unbookmark project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.unbookmark_project(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.unbookmark_project_with_http_info(owner, name, **kwargs) # noqa: E501
def unbookmark_project_with_http_info(self, owner, name, **kwargs): # noqa: E501
"""Unbookmark project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.unbookmark_project_with_http_info(owner, name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str name: Component under namesapce (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'name'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method unbookmark_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `unbookmark_project`") # noqa: E501
# verify the required parameter 'name' is set
if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501
local_var_params['name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `name` when calling `unbookmark_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'name' in local_var_params:
path_params['name'] = local_var_params['name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{name}/unbookmark', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def update_project(self, owner, project_name, body, **kwargs): # noqa: E501
"""Update project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_project(owner, project_name, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project_name: Required name (required)
:param V1Project body: Project body (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1Project
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.update_project_with_http_info(owner, project_name, body, **kwargs) # noqa: E501
def update_project_with_http_info(self, owner, project_name, body, **kwargs): # noqa: E501
"""Update project # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_project_with_http_info(owner, project_name, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project_name: Required name (required)
:param V1Project body: Project body (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1Project, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'project_name',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method update_project" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `update_project`") # noqa: E501
# verify the required parameter 'project_name' is set
if self.api_client.client_side_validation and ('project_name' not in local_var_params or # noqa: E501
local_var_params['project_name'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `project_name` when calling `update_project`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `update_project`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'project_name' in local_var_params:
path_params['project.name'] = local_var_params['project_name'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{project.name}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1Project', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def update_project_settings(self, owner, project, body, **kwargs): # noqa: E501
"""Update project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_project_settings(owner, project, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project name (required)
:param V1ProjectSettings body: Project settings body (required)
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: V1ProjectSettings
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.update_project_settings_with_http_info(owner, project, body, **kwargs) # noqa: E501
def update_project_settings_with_http_info(self, owner, project, body, **kwargs): # noqa: E501
"""Update project settings # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_project_settings_with_http_info(owner, project, body, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project name (required)
:param V1ProjectSettings body: Project settings body (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(V1ProjectSettings, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'project',
'body'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method update_project_settings" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `update_project_settings`") # noqa: E501
# verify the required parameter 'project' is set
if self.api_client.client_side_validation and ('project' not in local_var_params or # noqa: E501
local_var_params['project'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `project` when calling `update_project_settings`") # noqa: E501
# verify the required parameter 'body' is set
if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501
local_var_params['body'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `body` when calling `update_project_settings`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'project' in local_var_params:
path_params['project'] = local_var_params['project'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{project}/settings', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='V1ProjectSettings', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def upload_project_artifact(self, owner, project, uuid, uploadfile, **kwargs): # noqa: E501
"""Upload artifact to a store via project access # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_project_artifact(owner, project, uuid, uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project having access to the store (required)
:param str uuid: Unique integer identifier of the entity (required)
:param file uploadfile: The file to upload. (required)
:param str path: File path query params.
:param bool overwrite: File path query params.
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
return self.upload_project_artifact_with_http_info(owner, project, uuid, uploadfile, **kwargs) # noqa: E501
def upload_project_artifact_with_http_info(self, owner, project, uuid, uploadfile, **kwargs): # noqa: E501
"""Upload artifact to a store via project access # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.upload_project_artifact_with_http_info(owner, project, uuid, uploadfile, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str owner: Owner of the namespace (required)
:param str project: Project having access to the store (required)
:param str uuid: Unique integer identifier of the entity (required)
:param file uploadfile: The file to upload. (required)
:param str path: File path query params.
:param bool overwrite: File path query params.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: None
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'owner',
'project',
'uuid',
'uploadfile',
'path',
'overwrite'
]
all_params.extend(
[
'async_req',
'_return_http_data_only',
'_preload_content',
'_request_timeout'
]
)
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method upload_project_artifact" % key
)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'owner' is set
if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501
local_var_params['owner'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `owner` when calling `upload_project_artifact`") # noqa: E501
# verify the required parameter 'project' is set
if self.api_client.client_side_validation and ('project' not in local_var_params or # noqa: E501
local_var_params['project'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `project` when calling `upload_project_artifact`") # noqa: E501
# verify the required parameter 'uuid' is set
if self.api_client.client_side_validation and ('uuid' not in local_var_params or # noqa: E501
local_var_params['uuid'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `uuid` when calling `upload_project_artifact`") # noqa: E501
# verify the required parameter 'uploadfile' is set
if self.api_client.client_side_validation and ('uploadfile' not in local_var_params or # noqa: E501
local_var_params['uploadfile'] is None): # noqa: E501
raise ApiValueError("Missing the required parameter `uploadfile` when calling `upload_project_artifact`") # noqa: E501
collection_formats = {}
path_params = {}
if 'owner' in local_var_params:
path_params['owner'] = local_var_params['owner'] # noqa: E501
if 'project' in local_var_params:
path_params['project'] = local_var_params['project'] # noqa: E501
if 'uuid' in local_var_params:
path_params['uuid'] = local_var_params['uuid'] # noqa: E501
query_params = []
if 'path' in local_var_params and local_var_params['path'] is not None: # noqa: E501
query_params.append(('path', local_var_params['path'])) # noqa: E501
if 'overwrite' in local_var_params and local_var_params['overwrite'] is not None: # noqa: E501
query_params.append(('overwrite', local_var_params['overwrite'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
if 'uploadfile' in local_var_params:
local_var_files['uploadfile'] = local_var_params['uploadfile'] # noqa: E501
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['multipart/form-data']) # noqa: E501
# Authentication setting
auth_settings = ['ApiKey'] # noqa: E501
return self.api_client.call_api(
'/api/v1/{owner}/{project}/artifacts/{uuid}/upload', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
| 46.522711
| 131
| 0.587227
| 14,602
| 131,101
| 5.041638
| 0.019586
| 0.053791
| 0.085957
| 0.02695
| 0.971855
| 0.970469
| 0.966367
| 0.962333
| 0.955011
| 0.952851
| 0
| 0.016873
| 0.335444
| 131,101
| 2,817
| 132
| 46.539226
| 0.828107
| 0.420805
| 0
| 0.785053
| 0
| 0
| 0.175397
| 0.039131
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030605
| false
| 0
| 0.003559
| 0
| 0.064769
| 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
|
fc886b148ca7d06bef895e6722bca063cd6305ca
| 70
|
py
|
Python
|
homeworks/yan_romanovich/hw05/level01.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | null | null | null |
homeworks/yan_romanovich/hw05/level01.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | 8
|
2019-11-15T18:15:56.000Z
|
2020-02-03T18:05:05.000Z
|
homeworks/yan_romanovich/hw05/level01.py
|
tgrx/Z22
|
b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff
|
[
"Apache-2.0"
] | null | null | null |
def summa(parametr_1, parametr_2):
return parametr_1 + parametr_2
| 23.333333
| 34
| 0.771429
| 11
| 70
| 4.545455
| 0.545455
| 0.36
| 0.68
| 0.72
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.067797
| 0.157143
| 70
| 2
| 35
| 35
| 0.779661
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
fca5afcba463e17e6e1c7612518e644ab47d3b1e
| 104
|
py
|
Python
|
cryptoxlib/clients/bibox/exceptions.py
|
PetrZufan/cryptoxlib-aio
|
8fbb817ee7a7a88693804e24877863370d1d53c7
|
[
"MIT"
] | 90
|
2020-04-09T18:34:49.000Z
|
2022-03-09T14:29:32.000Z
|
cryptoxlib/clients/bibox/exceptions.py
|
PetrZufan/cryptoxlib-aio
|
8fbb817ee7a7a88693804e24877863370d1d53c7
|
[
"MIT"
] | 44
|
2020-04-03T17:02:20.000Z
|
2022-01-29T14:51:51.000Z
|
cryptoxlib/clients/bibox/exceptions.py
|
PetrZufan/cryptoxlib-aio
|
8fbb817ee7a7a88693804e24877863370d1d53c7
|
[
"MIT"
] | 28
|
2020-04-25T21:34:53.000Z
|
2022-03-31T07:20:07.000Z
|
from cryptoxlib.exceptions import CryptoXLibException
class BiboxException(CryptoXLibException):
pass
| 20.8
| 53
| 0.875
| 9
| 104
| 10.111111
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.086538
| 104
| 5
| 54
| 20.8
| 0.957895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 7
|
5d9462f8184184d4436aaa6574a5b0dead6c285d
| 7,706
|
py
|
Python
|
x2_pci_collision_server.py
|
SigPloit/S1-X2-tools
|
f2f22c7247663fe0482fe5a9a2941d82eb9674ba
|
[
"Apache-2.0"
] | 1
|
2022-02-07T13:39:55.000Z
|
2022-02-07T13:39:55.000Z
|
x2_pci_collision_server.py
|
SigPloit/S1-X2-tools
|
f2f22c7247663fe0482fe5a9a2941d82eb9674ba
|
[
"Apache-2.0"
] | null | null | null |
x2_pci_collision_server.py
|
SigPloit/S1-X2-tools
|
f2f22c7247663fe0482fe5a9a2941d82eb9674ba
|
[
"Apache-2.0"
] | 1
|
2021-11-01T22:51:15.000Z
|
2021-11-01T22:51:15.000Z
|
#!/usr/bin/env python
import sctp
import binascii
import sys, socket
import time, IPy
from itertools import repeat
#for local testing: sudo ncat --sctp -l -p 36422
#interface 3GPP S1-MME
#verify that the following modules are loaded
#sudo insmod /lib/modules/3.6.11-4.fc16.i686/kernel/lib/libcrc32c.ko
#sudo insmod /lib/modules/3.6.11-4.fc16.i686/kernel/net/sctp/sctp.ko
#echo 1 > /proc/sys/net/sctp/max_init_retransmits
def usage():
print "usage : python x2_pci_collision_server.py <dst ip > <local_ip>"
exit(0)
if len(sys.argv) < 3 :
usage()
exit(0)
#pci set to 159,157,161
payload = ("0006008ac9000004001500080022f2100000011000140089cd0540009f0022f210f"
"4241015926022f210004c2c05dc55002e0022f210f4242010000105dc0022f210f4"
"242020000005dc0022f210f4242030000205dc0022f210dbedd02000f505dc0022f"
"210dbedd01000f305dc0022f210dbe7f010006005dc0022f210dbe7f030006105dc"
"0022f210dbcd702000ac05dc0022f210dbea8040017b05dc0022f210dbd30020011"
"105dc0022f210dbd30030011305dc0022f210dbf91010002905dc0022f210dbd810"
"20007705dc0022f210dbcb5040003605dc0022f210dbf7f03000e105dc0022f210d"
"be7f060006105dc0022f210dbc23040010705dc0022f210dbc23050010505dc0022"
"f210dbf7f02000e305dc0022f210dbcb901001e605dc0022f210dbe7f040006005d"
"c0022f210dbcac01001b705dc0022f210dbe7f050006205dc0022f210f424204000"
"9d0c670022f210f424205000030c670022f210f424206000040c670022f210dbd54"
"0100113189c0022f210dbd540200112189c0022f210dbd540300111189c0022f210"
"dbc230100149189c0022f210dbc230200147189c0022f210dbcd50200193189c002"
"2f210dbc4602001bf189c0022f210dbea8010018e189c0022f210dbeb4030009218"
"9c0022f210dbdaf01001cc189c0022f210dbd55010010c189c0022f210dbd550200"
"10b189c0022f210dbd55030010d189c0022f210dbe5a010013a189c0022f210dbcb"
"5010012b189c0022f210dbe7f0100162189c0022f210dbe7f0300163189c0022f21"
"0dbe66020005a189c0022f210dbcd50300194189c0022f210dbedb0300150189c40"
"00a10022f210f4241025926022f210004c2c05dc55001f0022f210f424202000000"
"5dc0022f210f4242010000105dc0022f210f4242030000205dc0022f210dbd30030"
"011305dc0022f210dbcac01001b705dc0022f210dbea8040017b05dc0022f210dbf"
"7f03000e105dc0022f210dbc23050010505dc0022f210dbea8050017a05dc0022f2"
"10f424204000050c670022f210f424205000030c670022f210f424206000040c670"
"022f210dbd540100113189c0022f210dbd540200112189c0022f210dbd540300111"
"189c0022f210dbc230200147189c0022f210dbeb40100090189c0022f210dbeb402"
"00091189c0022f210dbeb40300092189c0022f210dbeec01000e0189c0022f210db"
"daf01001cc189c0022f210dbdaf02001cb189c0022f210dbdaf03001cd189c0022f"
"210dbd55010010c189c0022f210dbd55020010b189c0022f210dbd55030010d189c"
"0022f210dbdac0200172189c0022f210dbea8020018d189c0022f210dbea8010018"
"e189c0022f210dbcd50300194189c0022f210dbe1302001bc189c40009f0022f210"
"f4241035926022f210004c2c05dc5500290022f210f4242010000105dc0022f210f"
"4242030000205dc0022f210f4242020000005dc0022f210dbedd02000f505dc0022"
"f210dbedd01000f305dc0022f210dbcd702000ac05dc0022f210dbd30030011305d"
"c0022f210dbd4202000b105dc0022f210dbf7f03000e105dc0022f210dbca301001"
"0b05dc0022f210dbca3030010d05dc0022f210dbea8040017b05dc0022f210f4242"
"04000050c670022f210f424205000030c670022f210f424206000040c670022f210"
"dbd540100113189c0022f210dbd540200112189c0022f210dbd540300111189c002"
"2f210dbe9003001e7189c0022f210dbc4602001bf189c0022f210dbc4603001c018"
"9c0022f210dbcb90400196189c0022f210dbe1303001bd189c0022f210dbea80300"
"18c189c0022f210dbe3201001d4189c0022f210dbedc010009a189c0022f210dbed"
"b0300150189c0022f210dbe7903000ae189c0022f210dbcd705000ee189c0022f21"
"0dbd55010010c189c0022f210dbe5a010013a189c0022f210dbe66010005b189c00"
"22f210dbdaf01001cc189c0022f210dbea8010018e189c0022f210dbe66030005c1"
"89c0022f210dbd55020010b189c0022f210dbe5a0300139189c0022f210dbcd7040"
"00ed189c0022f210dbdaf03001cd189c0022f210dbe66020005a189c0022f210dbe"
"5a0200138189c4000090022f210f4241045926022f2100052b70c6744001a0022f2"
"10f424204000050c670022f210f424205000030c670022f210f424206000040c670"
"022f210f4242010000105dc0022f210f4242020000005dc0022f210f42420300002"
"05dc0022f210dbd30020011105dc0022f210dbcd702000ac05dc0022f210dbf7f03"
"000e105dc0022f210dbea8040017b05dc0022f210dbf91010002905dc0022f210db"
"d540100113189c0022f210dbd540200112189c0022f210dbd540300111189c0022f"
"210dbc230100149189c0022f210dbc230200147189c0022f210dbcd50200193189c"
"0022f210dbc4602001bf189c0022f210dbea8010018e189c0022f210dbeb4030009"
"2189c0022f210dbdaf01001cc189c0022f210dbd55010010c189c0022f210dbd550"
"20010b189c0022f210dbd55030010d189c0022f210dbe5a010013a189c0022f210d"
"be7f0100162189c40000b0022f210f4241055926022f2100052b70c674400180022"
"f210f424204000050c670022f210f424205000030c670022f210f424206000040c6"
"70022f210f4242010000105dc0022f210f4242030000205dc0022f210f424202000"
"0005dc0022f210dbea8040017b05dc0022f210dbf7f03000e105dc0022f210dbd54"
"0100113189c0022f210dbd540200112189c0022f210dbd540300111189c0022f210"
"dbc230200147189c0022f210dbeb40100090189c0022f210dbeb40200091189c002"
"2f210dbeb40300092189c0022f210dbeec01000e0189c0022f210dbdaf01001cc18"
"9c0022f210dbdaf02001cb189c0022f210dbdaf03001cd189c0022f210dbd550100"
"10c189c0022f210dbd55020010b189c0022f210dbd55030010d189c0022f210dbda"
"c0200172189c0022f210dbea8010018e189c40000a0022f210f4241065926022f21"
"00052b70c6744001d0022f210f424204000050c670022f210f424205000030c6700"
"22f210f424206000040c670022f210f4242010000105dc0022f210f424202000000"
"5dc0022f210f4242030000205dc0022f210dbcd702000ac05dc0022f210dbd54010"
"0113189c0022f210dbd540200112189c0022f210dbd540300111189c0022f210dbe"
"9003001e7189c0022f210dbc4602001bf189c0022f210dbc4603001c0189c0022f2"
"10dbcb90400196189c0022f210dbe1303001bd189c0022f210dbea8030018c189c0"
"022f210dbe3201001d4189c0022f210dbedb0300150189c0022f210dbe7903000ae"
"189c0022f210dbd55030010d189c0022f210dbd55010010c189c0022f210dbe5a03"
"00139189c0022f210dbd55020010b189c0022f210dbdaf03001cd189c0022f210db"
"e66010005b189c0022f210dbe5a010013a189c0022f210dbdaf01001cc189c0022f"
"210dbe66030005c189c0022f210dbe66020005a189c001800060022f210801400c8"
"4080d90b0022f210f4241010f80a0a010a000001f4100022f210f4241020f80a0a0"
"10b000001f4100022f210f4241030f80a0a010c000001f4100022f210f4241040f8"
"0a0a010d000001f4100022f210f4241050f80a0a010e000001f4100022f210f4241"
"060f80a0a010f000001f4100022f210f4241070f80a0a0110000001f4100022f210"
"f4241080f80a0a0111000001f4100022f210f4241090f80a0a0112000001f410002"
"2f210f42410a0f80a0a0113000001f4100022f210f42410b0f80a0a0114000001f4"
"100022f210f42410c0f80a0a0115000001f410")
dest_ip = sys.argv[1]
ip = IPy.IP(sys.argv[2])
local_ip = (ip.strNormal(0), 36422)
s = sctp.sctpsocket_tcp(socket.AF_INET)
s.bind(local_ip)
s.listen(1)
while 1 :
opened_conn, client_address = s.accept()
if dest_ip == client_address[0] :
break
opened_conn.settimeout(5)
data = binascii.unhexlify(payload)
opened_conn.send(data)
time.sleep(1)
raw_input("press ESC to quit....")
s.close()
| 58.824427
| 80
| 0.811705
| 259
| 7,706
| 24.081081
| 0.702703
| 0.003367
| 0.004169
| 0.006413
| 0.012506
| 0.012506
| 0.012506
| 0.012506
| 0.012506
| 0.012506
| 0
| 0.646655
| 0.148326
| 7,706
| 130
| 81
| 59.276923
| 0.303672
| 0.043602
| 0
| 0.054545
| 0
| 0
| 0.762804
| 0.75506
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0.045455
| null | null | 0.009091
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
5de04d8b815eaf7e74b7321dcfe420300d74e31f
| 2,487
|
py
|
Python
|
sportsbet/datasets/_soccer/_utils.py
|
gmoraitis/sports-betting
|
f80eb6eb2779581ef86f38c81d5a12a743b63b53
|
[
"MIT"
] | 36
|
2019-09-30T06:20:45.000Z
|
2020-12-20T08:34:46.000Z
|
sportsbet/datasets/_soccer/_utils.py
|
gmoraitis/sports-betting
|
f80eb6eb2779581ef86f38c81d5a12a743b63b53
|
[
"MIT"
] | 2
|
2020-01-09T18:16:46.000Z
|
2020-03-01T00:49:08.000Z
|
sportsbet/datasets/_soccer/_utils.py
|
gmoraitis/sports-betting
|
f80eb6eb2779581ef86f38c81d5a12a743b63b53
|
[
"MIT"
] | 19
|
2019-07-20T05:13:03.000Z
|
2020-12-21T07:19:39.000Z
|
"""
The :mod:`sportsbed.datasets._utils` includes utilities
for soccer data.
"""
# Author: Georgios Douzas <gdouzas@icloud.com>
# License: MIT
import pandas as pd
OUTPUTS = [
(
'output__home_win__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
> data['target__away_team__full_time_goals'],
),
(
'output__away_win__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
< data['target__away_team__full_time_goals'],
),
(
'output__draw__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
== data['target__away_team__full_time_goals'],
),
(
'output__over_1.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
> 1.5,
),
(
'output__over_2.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
> 2.5,
),
(
'output__over_3.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
> 3.5,
),
(
'output__over_4.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
> 4.5,
),
(
'output__under_1.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
< 1.5,
),
(
'output__under_2.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
< 2.5,
),
(
'output__under_3.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
< 3.5,
),
(
'output__under_4.5__full_time_goals',
lambda data: data['target__home_team__full_time_goals']
+ data['target__away_team__full_time_goals']
< 4.5,
),
]
def _read_csv(url):
"""Read csv file from URL as a pandas dataframe."""
names = pd.read_csv(url, nrows=0, encoding='ISO-8859-1').columns
return pd.read_csv(
url, names=names, skiprows=1, encoding='ISO-8859-1', on_bad_lines='skip'
)
| 29.607143
| 80
| 0.648573
| 330
| 2,487
| 4.169697
| 0.187879
| 0.19186
| 0.311773
| 0.271802
| 0.746366
| 0.746366
| 0.746366
| 0.746366
| 0.746366
| 0.746366
| 0
| 0.023293
| 0.24045
| 2,487
| 83
| 81
| 29.963855
| 0.705135
| 0.07117
| 0
| 0.422535
| 0
| 0
| 0.494338
| 0.483885
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014085
| false
| 0
| 0.014085
| 0
| 0.042254
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
5de58bcf945e5ec6ad4ea7cb9be676c8dae17fd4
| 21,923
|
py
|
Python
|
geoscilabs/em/TDEMDipolarfields.py
|
jcapriot/geosci-labs
|
044a73432b9cb1187924f7761942ab329259d875
|
[
"MIT"
] | 1
|
2019-01-04T10:06:44.000Z
|
2019-01-04T10:06:44.000Z
|
geoscilabs/em/TDEMDipolarfields.py
|
jcapriot/geosci-labs
|
044a73432b9cb1187924f7761942ab329259d875
|
[
"MIT"
] | 1
|
2018-12-30T20:09:25.000Z
|
2018-12-30T20:09:25.000Z
|
geoscilabs/em/TDEMDipolarfields.py
|
jcapriot/geosci-labs
|
044a73432b9cb1187924f7761942ab329259d875
|
[
"MIT"
] | null | null | null |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import numpy as np
from scipy.constants import mu_0, pi, epsilon_0
from scipy.special import erfc, erf
from SimPEG import utils
# TODO:
# r = lambda dx, dy, dz: np.sqrt( dx**2. + dy**2. + dz**2.)
def E_from_ElectricDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=0.0, epsr=1.0
):
"""
Computing the analytic electric fields (E) from an electrical dipole in a wholespace
- You have the option of computing E for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate E
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Ex, Ey, Ez: arrays containing all 3 components of E evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = current * length / (4.0 * pi * sig * r ** 3)
mid = 3 * erf(theta * r) - (
4 / np.sqrt(pi) * (theta) ** 3 * r ** 3 + 6 / np.sqrt(pi) * theta * r
) * np.exp(-((theta) ** 2) * (r) ** 2)
extra = erf(theta * r) - (
4 / np.sqrt(pi) * (theta) ** 3 * r ** 3 + 2 / np.sqrt(pi) * theta * r
) * np.exp(-((theta) ** 2) * (r) ** 2)
if orientation.upper() == "X":
Ex = front * (dx ** 2 / r ** 2) * mid - front * extra
Ey = front * (dx * dy / r ** 2) * mid
Ez = front * (dx * dz / r ** 2) * mid
return Ex, Ey, Ez
elif orientation.upper() == "Y":
# x--> y, y--> z, z-->x
Ey = front * (dy ** 2 / r ** 2) * mid - front * extra
Ez = front * (dy * dz / r ** 2) * mid
Ex = front * (dy * dx / r ** 2) * mid
return Ex, Ey, Ez
elif orientation.upper() == "Z":
# x --> z, y --> x, z --> y
Ez = front * (dz ** 2 / r ** 2) * mid - front * extra
Ex = front * (dz * dx / r ** 2) * mid
Ey = front * (dz * dy / r ** 2) * mid
return Ex, Ey, Ez
def J_from_ElectricDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic current density (J) from an electrical dipole in a wholespace
- You have the option of computing J for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate J
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Jx, Jy, Jz: arrays containing all 3 components of J evaluated at the specified locations and times.
"""
Ex, Ey, Ez = E_from_ElectricDipoleWholeSpace(
XYZ,
srcLoc,
sig,
t,
current=current,
length=length,
orientation=orientation,
kappa=kappa,
epsr=epsr,
)
Jx = sig * Ex
Jy = sig * Ey
Jz = sig * Ez
return Jx, Jy, Jz
def H_from_ElectricDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic magnetic fields (H) from an electrical dipole in a wholespace
- You have the option of computing H for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate H
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Hx, Hy, Hz: arrays containing all 3 components of H evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = (current * length) / (4.0 * pi * (r) ** 3)
mid = erf(theta * r) - (2 / np.sqrt(pi)) * theta * r * np.exp(
-((theta) ** 2) * (r) ** 2
)
if orientation.upper() == "X":
Hy = front * mid * -dz
Hz = front * mid * dy
Hx = np.zeros_like(Hy)
return Hx, Hy, Hz
elif orientation.upper() == "Y":
Hx = front * mid * dz
Hz = front * mid * -dx
Hy = np.zeros_like(Hx)
return Hx, Hy, Hz
elif orientation.upper() == "Z":
Hx = front * mid * -dy
Hy = front * mid * dx
Hz = np.zeros_like(Hx)
return Hx, Hy, Hz
def dHdt_from_ElectricDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic timd derivative of magnetic fields (dH/dt) from an electrical dipole in a wholespace
- You have the option of computing H for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate H
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: dHx/dt, dHy/dt, dHz/dt: arrays containing all 3 components of H evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = -2.0 * (current * length) * theta ** 5 * np.exp(-((theta) ** 2) * (r) ** 2)
mid = 1.0 / (np.pi ** 1.5 * mu * sig)
if orientation.upper() == "X":
Hy = front * mid * -dz
Hz = front * mid * dy
Hx = np.zeros_like(Hy)
return Hx, Hy, Hz
elif orientation.upper() == "Y":
Hx = front * mid * dz
Hz = front * mid * -dx
Hy = np.zeros_like(Hx)
return Hx, Hy, Hz
elif orientation.upper() == "Z":
Hx = front * mid * -dy
Hy = front * mid * dx
Hz = np.zeros_like(Hx)
return Hx, Hy, Hz
def B_from_ElectricDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic magnetic flux density (B) from an electrical dipole in a wholespace
- You have the option of computing B for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate B
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Bx, By, Bz: arrays containing all 3 components of B evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
Hx, Hy, Hz = dHdt_from_ElectricDipoleWholeSpace(
XYZ,
srcLoc,
sig,
t,
current=current,
length=length,
orientation=orientation,
kappa=kappa,
epsr=epsr,
)
Bx = mu * Hx
By = mu * Hy
Bz = mu * Hz
return Bx, By, Bz
def E_from_MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=0.0, epsr=1.0
):
"""
Computing the analytic electric fields (E) from an magnetic dipole in a wholespace
- You have the option of computing E for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate E
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Ex, Ey, Ez: arrays containing all 3 components of E evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = 2.0 * (current * length) * theta ** 5 * np.exp(-((theta) ** 2) * (r) ** 2)
mid = 1.0 / (np.pi ** 1.5 * sig)
if orientation.upper() == "X":
Ey = front * mid * -dz
Ez = front * mid * dy
Ex = np.zeros_like(Ey)
return Ex, Ey, Ez
elif orientation.upper() == "Y":
Ex = front * mid * dz
Ez = front * mid * -dx
Ey = np.zeros_like(Ex)
return Ex, Ey, Ez
elif orientation.upper() == "Z":
Ex = front * mid * -dy
Ey = front * mid * dx
Ez = np.zeros_like(Ex)
return Ex, Ey, Ez
def J_from_MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic current density (J) from an magnetic dipole in a wholespace
- You have the option of computing J for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate J
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Jx, Jy, Jz: arrays containing all 3 components of J evaluated at the specified locations and times.
"""
Ex, Ey, Ez = E_from_MagneticDipoleWholeSpace(
XYZ,
srcLoc,
sig,
t,
current=current,
length=length,
orientation=orientation,
kappa=kappa,
epsr=epsr,
)
Jx = sig * Ex
Jy = sig * Ey
Jz = sig * Ez
return Jx, Jy, Jz
def H_from_MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=0.0, epsr=1.0
):
"""
Computing the analytic magnetic fields (H) from an magnetic dipole in a wholespace
- You have the option of computing E for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate E
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Hx, Hy, Hz: arrays containing all 3 components of E evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = current * length / (4.0 * pi * r ** 3)
mid = 3 * erf(theta * r) - (
4 / np.sqrt(pi) * (theta) ** 3 * r ** 3 + 6 / np.sqrt(pi) * theta * r
) * np.exp(-((theta) ** 2) * (r) ** 2)
extra = erf(theta * r) - (
4 / np.sqrt(pi) * (theta) ** 3 * r ** 3 + 2 / np.sqrt(pi) * theta * r
) * np.exp(-((theta) ** 2) * (r) ** 2)
if orientation.upper() == "X":
Hx = front * (dx ** 2 / r ** 2) * mid - front * extra
Hy = front * (dx * dy / r ** 2) * mid
Hz = front * (dx * dz / r ** 2) * mid
return Hx, Hy, Hz
elif orientation.upper() == "Y":
# x--> y, y--> z, z-->x
Hy = front * (dy ** 2 / r ** 2) * mid - front * extra
Hz = front * (dy * dz / r ** 2) * mid
Hx = front * (dy * dx / r ** 2) * mid
return Hx, Hy, Hz
elif orientation.upper() == "Z":
# x --> z, y --> x, z --> y
Hz = front * (dz ** 2 / r ** 2) * mid - front * extra
Hx = front * (dz * dx / r ** 2) * mid
Hy = front * (dz * dy / r ** 2) * mid
return Hx, Hy, Hz
def dHdt_from_MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic timd derivative of magnetic fields (dH/dt) from an magnetic dipole in a wholespace
- You have the option of computing H for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate H
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: dHx/dt, dHy/dt, dHz/dt: arrays containing all 3 components of H evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
# epsilon = epsilon_0 * epsr
XYZ = utils.asArray_N_x_Dim(XYZ, 3)
# Check
if XYZ.shape[0] > 1 & t.shape[0] > 1:
raise Exception(
"I/O type error: For multiple field locations only a single time can be specified."
)
dx = XYZ[:, 0] - srcLoc[0]
dy = XYZ[:, 1] - srcLoc[1]
dz = XYZ[:, 2] - srcLoc[2]
r = np.sqrt(dx ** 2.0 + dy ** 2.0 + dz ** 2.0)
theta = np.sqrt((mu * sig) / (4 * t))
front = -4 * (current * length) * theta ** 5 * np.exp(-((theta) ** 2) * (r) ** 2)
front *= 1.0 / (np.pi ** 1.5 * mu * sig)
mid = (theta) ** 2 * (r) ** 2
extra = 1 - (theta) ** 2 * (r) ** 2
if orientation.upper() == "X":
Hx = front * (dx ** 2 / r ** 2) * mid + front * extra
Hy = front * (dx * dy / r ** 2) * mid
Hz = front * (dx * dz / r ** 2) * mid
return Hx, Hy, Hz
elif orientation.upper() == "Y":
# x--> y, y--> z, z-->x
Hy = front * (dy ** 2 / r ** 2) * mid + front * extra
Hz = front * (dy * dz / r ** 2) * mid
Hx = front * (dy * dx / r ** 2) * mid
return Hx, Hy, Hz
elif orientation.upper() == "Z":
# x --> z, y --> x, z --> y
Hz = front * (dz ** 2 / r ** 2) * mid + front * extra
Hx = front * (dz * dx / r ** 2) * mid
Hy = front * (dz * dy / r ** 2) * mid
return Hx, Hy, Hz
def B_from_MagneticDipoleWholeSpace(
XYZ, srcLoc, sig, t, current=1.0, length=1.0, orientation="X", kappa=1.0, epsr=1.0
):
"""
Computing the analytic magnetic flux density (B) from an electrical dipole in a wholespace
- You have the option of computing B for multiple times at a single reciever location
or a single time at multiple locations
:param numpy.array XYZ: reciever locations at which to evaluate B
:param numpy.array srcLoc: [x,y,z] triplet defining the location of the electric dipole source
:param float sig: value specifying the conductivity (S/m) of the wholespace
:param numpy.array t: array of times at which to measure
:param float current: size of the injected current (A), default is 1.0 A
:param float length: length of the dipole (m), default is 1.0 m
:param str orientation: orientation of dipole: 'X', 'Y', or 'Z'
:param float kappa: magnetic susceptiblity value (unitless), default is 0.
:param float epsr: relative permitivitty value (unitless), default is 1.0
:rtype: numpy.array
:return: Bx, By, Bz: arrays containing all 3 components of B evaluated at the specified locations and times.
"""
mu = mu_0 * (1 + kappa)
Hx, Hy, Hz = dHdt_from_MagneticDipoleWholeSpace(
XYZ,
srcLoc,
sig,
t,
current=current,
length=length,
orientation=orientation,
kappa=kappa,
epsr=epsr,
)
Bx = mu * Hx
By = mu * Hy
Bz = mu * Hz
return Bx, By, Bz
| 39.572202
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0
| 7
|
b9066961b4de22180d81e4ac0842c1026d688f99
| 86,651
|
py
|
Python
|
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/mp_fdca92ca7688d207a32daf52e610fd90.py
|
rfrye-github/ixnetwork_restpy
|
23eeb24b21568a23d3f31bbd72814ff55eb1af44
|
[
"MIT"
] | null | null | null |
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/mp_fdca92ca7688d207a32daf52e610fd90.py
|
rfrye-github/ixnetwork_restpy
|
23eeb24b21568a23d3f31bbd72814ff55eb1af44
|
[
"MIT"
] | null | null | null |
ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/mp_fdca92ca7688d207a32daf52e610fd90.py
|
rfrye-github/ixnetwork_restpy
|
23eeb24b21568a23d3f31bbd72814ff55eb1af44
|
[
"MIT"
] | null | null | null |
# MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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.
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class Mp(Base):
"""This object contains the Maintenance Point (MP) configuration.
The Mp class encapsulates a list of mp resources that are managed by the user.
A list of resources can be retrieved from the server using the Mp.find() method.
The list can be managed by using the Mp.add() and Mp.remove() methods.
"""
__slots__ = ()
_SDM_NAME = 'mp'
_SDM_ATT_MAP = {
'AddCcmCustomTlvs': 'addCcmCustomTlvs',
'AddDataTlv': 'addDataTlv',
'AddInterfaceStatusTlv': 'addInterfaceStatusTlv',
'AddLbmCustomTlvs': 'addLbmCustomTlvs',
'AddLbrCustomTlvs': 'addLbrCustomTlvs',
'AddLmmCustomTlvs': 'addLmmCustomTlvs',
'AddLmrCustomTlvs': 'addLmrCustomTlvs',
'AddLtmCustomTlvs': 'addLtmCustomTlvs',
'AddLtrCustomTlvs': 'addLtrCustomTlvs',
'AddOrganizationSpecificTlv': 'addOrganizationSpecificTlv',
'AddPortStatusTlv': 'addPortStatusTlv',
'AddSenderIdTlv': 'addSenderIdTlv',
'AisEnableUnicastMac': 'aisEnableUnicastMac',
'AisInterval': 'aisInterval',
'AisMode': 'aisMode',
'AisPriority': 'aisPriority',
'AisUnicastMac': 'aisUnicastMac',
'AutoDmAllDestination': 'autoDmAllDestination',
'AutoDmDestination': 'autoDmDestination',
'AutoDmIteration': 'autoDmIteration',
'AutoDmTimeout': 'autoDmTimeout',
'AutoDmTimer': 'autoDmTimer',
'AutoLbAllDestination': 'autoLbAllDestination',
'AutoLbDestination': 'autoLbDestination',
'AutoLbIteration': 'autoLbIteration',
'AutoLbTimeout': 'autoLbTimeout',
'AutoLbTimer': 'autoLbTimer',
'AutoLmIteration': 'autoLmIteration',
'AutoLmTimeout': 'autoLmTimeout',
'AutoLmTimer': 'autoLmTimer',
'AutoLtAllDestination': 'autoLtAllDestination',
'AutoLtDestination': 'autoLtDestination',
'AutoLtIteration': 'autoLtIteration',
'AutoLtTimeout': 'autoLtTimeout',
'AutoLtTimer': 'autoLtTimer',
'CciInterval': 'cciInterval',
'CcmLmmTxFcf': 'ccmLmmTxFcf',
'CcmLmmTxFcfStep': 'ccmLmmTxFcfStep',
'CcmPriority': 'ccmPriority',
'CcmRxFcb': 'ccmRxFcb',
'CcmRxFcbStep': 'ccmRxFcbStep',
'ChassisId': 'chassisId',
'ChassisIdLength': 'chassisIdLength',
'ChassisIdSubType': 'chassisIdSubType',
'DataTlvLength': 'dataTlvLength',
'DataTlvValue': 'dataTlvValue',
'DmMethod': 'dmMethod',
'DmPriority': 'dmPriority',
'DmmPriority': 'dmmPriority',
'EnableAisRx': 'enableAisRx',
'EnableAutoDm': 'enableAutoDm',
'EnableAutoLb': 'enableAutoLb',
'EnableAutoLm': 'enableAutoLm',
'EnableAutoLt': 'enableAutoLt',
'EnableLckRx': 'enableLckRx',
'EnableLmCounterUpdate': 'enableLmCounterUpdate',
'EnableTstRx': 'enableTstRx',
'Enabled': 'enabled',
'InterRemoteMepRxIncrementStep': 'interRemoteMepRxIncrementStep',
'InterRemoteMepTxIncrementStep': 'interRemoteMepTxIncrementStep',
'LbmPriority': 'lbmPriority',
'LckEnableUnicastMac': 'lckEnableUnicastMac',
'LckInterval': 'lckInterval',
'LckMode': 'lckMode',
'LckPriority': 'lckPriority',
'LckSupportAisGeneration': 'lckSupportAisGeneration',
'LckUnicastMac': 'lckUnicastMac',
'LmAllRemoteMeps': 'lmAllRemoteMeps',
'LmDestinationMacAddress': 'lmDestinationMacAddress',
'LmMethod': 'lmMethod',
'LmmPriority': 'lmmPriority',
'LmrPriority': 'lmrPriority',
'LmrRxFcf': 'lmrRxFcf',
'LmrRxFcfStep': 'lmrRxFcfStep',
'LtmPriority': 'ltmPriority',
'MacAddress': 'macAddress',
'ManagementAddress': 'managementAddress',
'ManagementAddressDomain': 'managementAddressDomain',
'ManagementAddressDomainLength': 'managementAddressDomainLength',
'ManagementAddressLength': 'managementAddressLength',
'MdLevel': 'mdLevel',
'MegId': 'megId',
'MegIdFormat': 'megIdFormat',
'MepId': 'mepId',
'MipId': 'mipId',
'MpType': 'mpType',
'OrganizationSpecificTlvLength': 'organizationSpecificTlvLength',
'OrganizationSpecificTlvValue': 'organizationSpecificTlvValue',
'OverrideVlanPriority': 'overrideVlanPriority',
'Rdi': 'rdi',
'ShortMaName': 'shortMaName',
'ShortMaNameFormat': 'shortMaNameFormat',
'TstEnableUnicastMac': 'tstEnableUnicastMac',
'TstIncrPacketLength': 'tstIncrPacketLength',
'TstIncrPacketLengthStep': 'tstIncrPacketLengthStep',
'TstInitialPatternValue': 'tstInitialPatternValue',
'TstInterval': 'tstInterval',
'TstMode': 'tstMode',
'TstOverwriteSequenceNumber': 'tstOverwriteSequenceNumber',
'TstPacketLength': 'tstPacketLength',
'TstPatternType': 'tstPatternType',
'TstPriority': 'tstPriority',
'TstSequenceNumber': 'tstSequenceNumber',
'TstTestType': 'tstTestType',
'TstUnicastMac': 'tstUnicastMac',
'Ttl': 'ttl',
'Vlan': 'vlan',
}
def __init__(self, parent):
super(Mp, self).__init__(parent)
@property
def AddCcmCustomTlvs(self):
"""
Returns
-------
- bool: If true, adds a custom CCM TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddCcmCustomTlvs'])
@AddCcmCustomTlvs.setter
def AddCcmCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddCcmCustomTlvs'], value)
@property
def AddDataTlv(self):
"""
Returns
-------
- bool: If true, adds a data TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddDataTlv'])
@AddDataTlv.setter
def AddDataTlv(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddDataTlv'], value)
@property
def AddInterfaceStatusTlv(self):
"""
Returns
-------
- bool: If true, adds an interface status TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddInterfaceStatusTlv'])
@AddInterfaceStatusTlv.setter
def AddInterfaceStatusTlv(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddInterfaceStatusTlv'], value)
@property
def AddLbmCustomTlvs(self):
"""
Returns
-------
- bool: If true, adds a custom loopback message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLbmCustomTlvs'])
@AddLbmCustomTlvs.setter
def AddLbmCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLbmCustomTlvs'], value)
@property
def AddLbrCustomTlvs(self):
"""
Returns
-------
- bool: If true, adds a custom loopback response message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLbrCustomTlvs'])
@AddLbrCustomTlvs.setter
def AddLbrCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLbrCustomTlvs'], value)
@property
def AddLmmCustomTlvs(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLmmCustomTlvs'])
@AddLmmCustomTlvs.setter
def AddLmmCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLmmCustomTlvs'], value)
@property
def AddLmrCustomTlvs(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLmrCustomTlvs'])
@AddLmrCustomTlvs.setter
def AddLmrCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLmrCustomTlvs'], value)
@property
def AddLtmCustomTlvs(self):
"""
Returns
-------
- bool: If true, adds a custom link trace message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLtmCustomTlvs'])
@AddLtmCustomTlvs.setter
def AddLtmCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLtmCustomTlvs'], value)
@property
def AddLtrCustomTlvs(self):
"""
Returns
-------
- bool: If true, adds a custom link trace message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddLtrCustomTlvs'])
@AddLtrCustomTlvs.setter
def AddLtrCustomTlvs(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddLtrCustomTlvs'], value)
@property
def AddOrganizationSpecificTlv(self):
"""
Returns
-------
- bool: If true, adds a custom organization specific message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddOrganizationSpecificTlv'])
@AddOrganizationSpecificTlv.setter
def AddOrganizationSpecificTlv(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddOrganizationSpecificTlv'], value)
@property
def AddPortStatusTlv(self):
"""
Returns
-------
- bool: If true, adds a custom port statust message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddPortStatusTlv'])
@AddPortStatusTlv.setter
def AddPortStatusTlv(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddPortStatusTlv'], value)
@property
def AddSenderIdTlv(self):
"""
Returns
-------
- bool: If true, adds a custom sender ID message TLV to bridge messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AddSenderIdTlv'])
@AddSenderIdTlv.setter
def AddSenderIdTlv(self, value):
self._set_attribute(self._SDM_ATT_MAP['AddSenderIdTlv'], value)
@property
def AisEnableUnicastMac(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AisEnableUnicastMac'])
@AisEnableUnicastMac.setter
def AisEnableUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['AisEnableUnicastMac'], value)
@property
def AisInterval(self):
"""
Returns
-------
- str(oneSec | oneMin): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AisInterval'])
@AisInterval.setter
def AisInterval(self, value):
self._set_attribute(self._SDM_ATT_MAP['AisInterval'], value)
@property
def AisMode(self):
"""
Returns
-------
- str(auto | start | stop): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AisMode'])
@AisMode.setter
def AisMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['AisMode'], value)
@property
def AisPriority(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AisPriority'])
@AisPriority.setter
def AisPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['AisPriority'], value)
@property
def AisUnicastMac(self):
"""
Returns
-------
- str: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AisUnicastMac'])
@AisUnicastMac.setter
def AisUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['AisUnicastMac'], value)
@property
def AutoDmAllDestination(self):
"""
Returns
-------
- bool: If true, enables the automatic sending of DM Messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoDmAllDestination'])
@AutoDmAllDestination.setter
def AutoDmAllDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoDmAllDestination'], value)
@property
def AutoDmDestination(self):
"""
Returns
-------
- str: The sent MAC address for the DM, if autoDmAllDestination is set to true.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoDmDestination'])
@AutoDmDestination.setter
def AutoDmDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoDmDestination'], value)
@property
def AutoDmIteration(self):
"""
Returns
-------
- number: The count for how many times DMMs will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoDmIteration'])
@AutoDmIteration.setter
def AutoDmIteration(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoDmIteration'], value)
@property
def AutoDmTimeout(self):
"""
Returns
-------
- number: The timeout period in seconds to wait for a response to DMMs. This value should be less than the Auto LB Timer. Default is 30. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoDmTimeout'])
@AutoDmTimeout.setter
def AutoDmTimeout(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoDmTimeout'], value)
@property
def AutoDmTimer(self):
"""
Returns
-------
- number: The time period in seconds between DMMs. Default is 60. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoDmTimer'])
@AutoDmTimer.setter
def AutoDmTimer(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoDmTimer'], value)
@property
def AutoLbAllDestination(self):
"""
Returns
-------
- bool: If true, enables the automatic sending of Loopback Messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLbAllDestination'])
@AutoLbAllDestination.setter
def AutoLbAllDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLbAllDestination'], value)
@property
def AutoLbDestination(self):
"""
Returns
-------
- str: Sets the loopback destination MAC address.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLbDestination'])
@AutoLbDestination.setter
def AutoLbDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLbDestination'], value)
@property
def AutoLbIteration(self):
"""
Returns
-------
- number: The count for how many times LBM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLbIteration'])
@AutoLbIteration.setter
def AutoLbIteration(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLbIteration'], value)
@property
def AutoLbTimeout(self):
"""
Returns
-------
- number: The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLbTimeout'])
@AutoLbTimeout.setter
def AutoLbTimeout(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLbTimeout'], value)
@property
def AutoLbTimer(self):
"""
Returns
-------
- number: The time period in seconds between LBMs. Default is 60. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLbTimer'])
@AutoLbTimer.setter
def AutoLbTimer(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLbTimer'], value)
@property
def AutoLmIteration(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLmIteration'])
@AutoLmIteration.setter
def AutoLmIteration(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLmIteration'], value)
@property
def AutoLmTimeout(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLmTimeout'])
@AutoLmTimeout.setter
def AutoLmTimeout(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLmTimeout'], value)
@property
def AutoLmTimer(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLmTimer'])
@AutoLmTimer.setter
def AutoLmTimer(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLmTimer'], value)
@property
def AutoLtAllDestination(self):
"""
Returns
-------
- bool: If true, enables the automatic sending to Link Trace Messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLtAllDestination'])
@AutoLtAllDestination.setter
def AutoLtAllDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLtAllDestination'], value)
@property
def AutoLtDestination(self):
"""
Returns
-------
- str: Sets the link trance destination MAC address.
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLtDestination'])
@AutoLtDestination.setter
def AutoLtDestination(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLtDestination'], value)
@property
def AutoLtIteration(self):
"""
Returns
-------
- number: The count for how many times LTM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLtIteration'])
@AutoLtIteration.setter
def AutoLtIteration(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLtIteration'], value)
@property
def AutoLtTimeout(self):
"""
Returns
-------
- number: The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLtTimeout'])
@AutoLtTimeout.setter
def AutoLtTimeout(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLtTimeout'], value)
@property
def AutoLtTimer(self):
"""
Returns
-------
- number: The time period in seconds between LTMs. Default is 60. Min: 1 Max: 65535
"""
return self._get_attribute(self._SDM_ATT_MAP['AutoLtTimer'])
@AutoLtTimer.setter
def AutoLtTimer(self, value):
self._set_attribute(self._SDM_ATT_MAP['AutoLtTimer'], value)
@property
def CciInterval(self):
"""
Returns
-------
- str(3.33msec | 10msec | 100msec | 1sec | 10sec | 1min | 10min): Sets the Continuity Check Interval (CCI).
"""
return self._get_attribute(self._SDM_ATT_MAP['CciInterval'])
@CciInterval.setter
def CciInterval(self, value):
self._set_attribute(self._SDM_ATT_MAP['CciInterval'], value)
@property
def CcmLmmTxFcf(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['CcmLmmTxFcf'])
@CcmLmmTxFcf.setter
def CcmLmmTxFcf(self, value):
self._set_attribute(self._SDM_ATT_MAP['CcmLmmTxFcf'], value)
@property
def CcmLmmTxFcfStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['CcmLmmTxFcfStep'])
@CcmLmmTxFcfStep.setter
def CcmLmmTxFcfStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['CcmLmmTxFcfStep'], value)
@property
def CcmPriority(self):
"""
Returns
-------
- number: Sets the priority for Continuity Check Messages. The default is 0. Min: 0 Max: 7
"""
return self._get_attribute(self._SDM_ATT_MAP['CcmPriority'])
@CcmPriority.setter
def CcmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['CcmPriority'], value)
@property
def CcmRxFcb(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['CcmRxFcb'])
@CcmRxFcb.setter
def CcmRxFcb(self, value):
self._set_attribute(self._SDM_ATT_MAP['CcmRxFcb'], value)
@property
def CcmRxFcbStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['CcmRxFcbStep'])
@CcmRxFcbStep.setter
def CcmRxFcbStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['CcmRxFcbStep'], value)
@property
def ChassisId(self):
"""
Returns
-------
- str: Sets the chassis identification. Default is 00 00 00 00 00 00. This will take Hex value as input (0-255 byte).
"""
return self._get_attribute(self._SDM_ATT_MAP['ChassisId'])
@ChassisId.setter
def ChassisId(self, value):
self._set_attribute(self._SDM_ATT_MAP['ChassisId'], value)
@property
def ChassisIdLength(self):
"""
Returns
-------
- number: Sets the length of the Chassis ID field. Default is 6. Min: 0 Max: 255.
"""
return self._get_attribute(self._SDM_ATT_MAP['ChassisIdLength'])
@ChassisIdLength.setter
def ChassisIdLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['ChassisIdLength'], value)
@property
def ChassisIdSubType(self):
"""
Returns
-------
- str(chassisComponent | interfaceAlias | portComponent | macAddress | networkAddress | interfaceName | locallyAssigned): Sets the chassis identifier sub-type for the optional TLV messages. Options are:
"""
return self._get_attribute(self._SDM_ATT_MAP['ChassisIdSubType'])
@ChassisIdSubType.setter
def ChassisIdSubType(self, value):
self._set_attribute(self._SDM_ATT_MAP['ChassisIdSubType'], value)
@property
def DataTlvLength(self):
"""
Returns
-------
- number: Sets the length of the Data TLV field. Default is 4. Min: 0 Max: 1500.
"""
return self._get_attribute(self._SDM_ATT_MAP['DataTlvLength'])
@DataTlvLength.setter
def DataTlvLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['DataTlvLength'], value)
@property
def DataTlvValue(self):
"""
Returns
-------
- str: This attribute will take Hex value of data. This data TLV will be added both for periodic LBM and requested LBM transmit. Default is 44 61 74 61.
"""
return self._get_attribute(self._SDM_ATT_MAP['DataTlvValue'])
@DataTlvValue.setter
def DataTlvValue(self, value):
self._set_attribute(self._SDM_ATT_MAP['DataTlvValue'], value)
@property
def DmMethod(self):
"""
Returns
-------
- str(twoWay | oneWay): The type of Delay Measurment support.
"""
return self._get_attribute(self._SDM_ATT_MAP['DmMethod'])
@DmMethod.setter
def DmMethod(self, value):
self._set_attribute(self._SDM_ATT_MAP['DmMethod'], value)
@property
def DmPriority(self):
"""
Returns
-------
- number: Sets the priority for DM Messages. This priority will be used only for periodic DMMs one-way or two-way (for both type of DM Methodfor each MIP). The default is 0.
"""
return self._get_attribute(self._SDM_ATT_MAP['DmPriority'])
@DmPriority.setter
def DmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['DmPriority'], value)
@property
def DmmPriority(self):
"""DEPRECATED
Returns
-------
- number: Sets the priority for DM Messages. This priority will be used only for periodic DMMs. The default is 0. Min: 0 Max: 7
"""
return self._get_attribute(self._SDM_ATT_MAP['DmmPriority'])
@DmmPriority.setter
def DmmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['DmmPriority'], value)
@property
def EnableAisRx(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAisRx'])
@EnableAisRx.setter
def EnableAisRx(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAisRx'], value)
@property
def EnableAutoDm(self):
"""
Returns
-------
- bool: If true, enables the automatic sending of DM Messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAutoDm'])
@EnableAutoDm.setter
def EnableAutoDm(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAutoDm'], value)
@property
def EnableAutoLb(self):
"""
Returns
-------
- bool: If true, enables the automatic sending of Loopback messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAutoLb'])
@EnableAutoLb.setter
def EnableAutoLb(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAutoLb'], value)
@property
def EnableAutoLm(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAutoLm'])
@EnableAutoLm.setter
def EnableAutoLm(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAutoLm'], value)
@property
def EnableAutoLt(self):
"""
Returns
-------
- bool: If true, enables the automatic sending of Link Trace messages.
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableAutoLt'])
@EnableAutoLt.setter
def EnableAutoLt(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableAutoLt'], value)
@property
def EnableLckRx(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableLckRx'])
@EnableLckRx.setter
def EnableLckRx(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableLckRx'], value)
@property
def EnableLmCounterUpdate(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableLmCounterUpdate'])
@EnableLmCounterUpdate.setter
def EnableLmCounterUpdate(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableLmCounterUpdate'], value)
@property
def EnableTstRx(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['EnableTstRx'])
@EnableTstRx.setter
def EnableTstRx(self, value):
self._set_attribute(self._SDM_ATT_MAP['EnableTstRx'], value)
@property
def Enabled(self):
"""
Returns
-------
- bool: If true, the MP is enabled.
"""
return self._get_attribute(self._SDM_ATT_MAP['Enabled'])
@Enabled.setter
def Enabled(self, value):
self._set_attribute(self._SDM_ATT_MAP['Enabled'], value)
@property
def InterRemoteMepRxIncrementStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['InterRemoteMepRxIncrementStep'])
@InterRemoteMepRxIncrementStep.setter
def InterRemoteMepRxIncrementStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['InterRemoteMepRxIncrementStep'], value)
@property
def InterRemoteMepTxIncrementStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['InterRemoteMepTxIncrementStep'])
@InterRemoteMepTxIncrementStep.setter
def InterRemoteMepTxIncrementStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['InterRemoteMepTxIncrementStep'], value)
@property
def LbmPriority(self):
"""
Returns
-------
- number: Sets the priority for Loopback Messages. This priority will be used only for periodic LBMs. The default is 0. Min: 0 Max: 7
"""
return self._get_attribute(self._SDM_ATT_MAP['LbmPriority'])
@LbmPriority.setter
def LbmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['LbmPriority'], value)
@property
def LckEnableUnicastMac(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckEnableUnicastMac'])
@LckEnableUnicastMac.setter
def LckEnableUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckEnableUnicastMac'], value)
@property
def LckInterval(self):
"""
Returns
-------
- str(oneSec | oneMin): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckInterval'])
@LckInterval.setter
def LckInterval(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckInterval'], value)
@property
def LckMode(self):
"""
Returns
-------
- str(auto | start | stop): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckMode'])
@LckMode.setter
def LckMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckMode'], value)
@property
def LckPriority(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckPriority'])
@LckPriority.setter
def LckPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckPriority'], value)
@property
def LckSupportAisGeneration(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckSupportAisGeneration'])
@LckSupportAisGeneration.setter
def LckSupportAisGeneration(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckSupportAisGeneration'], value)
@property
def LckUnicastMac(self):
"""
Returns
-------
- str: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LckUnicastMac'])
@LckUnicastMac.setter
def LckUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['LckUnicastMac'], value)
@property
def LmAllRemoteMeps(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmAllRemoteMeps'])
@LmAllRemoteMeps.setter
def LmAllRemoteMeps(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmAllRemoteMeps'], value)
@property
def LmDestinationMacAddress(self):
"""
Returns
-------
- str: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmDestinationMacAddress'])
@LmDestinationMacAddress.setter
def LmDestinationMacAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmDestinationMacAddress'], value)
@property
def LmMethod(self):
"""
Returns
-------
- str(singleEnded | dualEnded): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmMethod'])
@LmMethod.setter
def LmMethod(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmMethod'], value)
@property
def LmmPriority(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmmPriority'])
@LmmPriority.setter
def LmmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmmPriority'], value)
@property
def LmrPriority(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmrPriority'])
@LmrPriority.setter
def LmrPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmrPriority'], value)
@property
def LmrRxFcf(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmrRxFcf'])
@LmrRxFcf.setter
def LmrRxFcf(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmrRxFcf'], value)
@property
def LmrRxFcfStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['LmrRxFcfStep'])
@LmrRxFcfStep.setter
def LmrRxFcfStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['LmrRxFcfStep'], value)
@property
def LtmPriority(self):
"""
Returns
-------
- number: Sets the priority for Link Trace Messages. This priority will be used only for periodic LTMs. The default is 0. Min: 0 Max: 7
"""
return self._get_attribute(self._SDM_ATT_MAP['LtmPriority'])
@LtmPriority.setter
def LtmPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['LtmPriority'], value)
@property
def MacAddress(self):
"""
Returns
-------
- str: The MAC address of the MP.
"""
return self._get_attribute(self._SDM_ATT_MAP['MacAddress'])
@MacAddress.setter
def MacAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['MacAddress'], value)
@property
def ManagementAddress(self):
"""
Returns
-------
- str: Sets the MP management address. Input type is HEX (0-255 byte). Default is 01 02 03 03 04 05.
"""
return self._get_attribute(self._SDM_ATT_MAP['ManagementAddress'])
@ManagementAddress.setter
def ManagementAddress(self, value):
self._set_attribute(self._SDM_ATT_MAP['ManagementAddress'], value)
@property
def ManagementAddressDomain(self):
"""
Returns
-------
- str: Sets the MP management address domain. This will take HEX input (0-255 byte). Default is 4d 61 6e 61 67 65 6d 65 6e 74 20 41 64 64 72 20 44 6f 6d 61 69 6e (Management Addr Domain).
"""
return self._get_attribute(self._SDM_ATT_MAP['ManagementAddressDomain'])
@ManagementAddressDomain.setter
def ManagementAddressDomain(self, value):
self._set_attribute(self._SDM_ATT_MAP['ManagementAddressDomain'], value)
@property
def ManagementAddressDomainLength(self):
"""
Returns
-------
- number: Sets the length of the Management address domain field. Default is 22. Min: 0 Max: 255.
"""
return self._get_attribute(self._SDM_ATT_MAP['ManagementAddressDomainLength'])
@ManagementAddressDomainLength.setter
def ManagementAddressDomainLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['ManagementAddressDomainLength'], value)
@property
def ManagementAddressLength(self):
"""
Returns
-------
- number: Sets the length of the Management address field. Default is 6. Min: 0 Max: 255.
"""
return self._get_attribute(self._SDM_ATT_MAP['ManagementAddressLength'])
@ManagementAddressLength.setter
def ManagementAddressLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['ManagementAddressLength'], value)
@property
def MdLevel(self):
"""
Returns
-------
- str(None | /api/v1/sessions/1/ixnetwork/vport/.../mdLevel): The MD level of the MP. The MD level must be previously configured.
"""
return self._get_attribute(self._SDM_ATT_MAP['MdLevel'])
@MdLevel.setter
def MdLevel(self, value):
self._set_attribute(self._SDM_ATT_MAP['MdLevel'], value)
@property
def MegId(self):
"""
Returns
-------
- str: The MEG identifier of the MP. This is for use with ITU-T Y.1731.
"""
return self._get_attribute(self._SDM_ATT_MAP['MegId'])
@MegId.setter
def MegId(self, value):
self._set_attribute(self._SDM_ATT_MAP['MegId'], value)
@property
def MegIdFormat(self):
"""
Returns
-------
- str(iccBasedFormat | primaryVid | characterString | 2octetInteger | rfc2685VpnId): The MEG identifier format.
"""
return self._get_attribute(self._SDM_ATT_MAP['MegIdFormat'])
@MegIdFormat.setter
def MegIdFormat(self, value):
self._set_attribute(self._SDM_ATT_MAP['MegIdFormat'], value)
@property
def MepId(self):
"""
Returns
-------
- number: The MEP identifier.
"""
return self._get_attribute(self._SDM_ATT_MAP['MepId'])
@MepId.setter
def MepId(self, value):
self._set_attribute(self._SDM_ATT_MAP['MepId'], value)
@property
def MipId(self):
"""
Returns
-------
- number: The MIP identifier.
"""
return self._get_attribute(self._SDM_ATT_MAP['MipId'])
@MipId.setter
def MipId(self, value):
self._set_attribute(self._SDM_ATT_MAP['MipId'], value)
@property
def MpType(self):
"""
Returns
-------
- str(mip | mep): Sets the MP type.
"""
return self._get_attribute(self._SDM_ATT_MAP['MpType'])
@MpType.setter
def MpType(self, value):
self._set_attribute(self._SDM_ATT_MAP['MpType'], value)
@property
def OrganizationSpecificTlvLength(self):
"""
Returns
-------
- number: Sets the length of the organizational specific TLV field. Default is 4. Min: 4 Max: 1500
"""
return self._get_attribute(self._SDM_ATT_MAP['OrganizationSpecificTlvLength'])
@OrganizationSpecificTlvLength.setter
def OrganizationSpecificTlvLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['OrganizationSpecificTlvLength'], value)
@property
def OrganizationSpecificTlvValue(self):
"""
Returns
-------
- str: Sets the value of the organizational specific TLV field. This attribute will take Hex value. Default is NULL.
"""
return self._get_attribute(self._SDM_ATT_MAP['OrganizationSpecificTlvValue'])
@OrganizationSpecificTlvValue.setter
def OrganizationSpecificTlvValue(self, value):
self._set_attribute(self._SDM_ATT_MAP['OrganizationSpecificTlvValue'], value)
@property
def OverrideVlanPriority(self):
"""
Returns
-------
- bool: If true, overrides the set VLAN priority for this bridge, and uses the advanced settings instead.
"""
return self._get_attribute(self._SDM_ATT_MAP['OverrideVlanPriority'])
@OverrideVlanPriority.setter
def OverrideVlanPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['OverrideVlanPriority'], value)
@property
def Rdi(self):
"""
Returns
-------
- str(auto | on | off): The Remote Defect Identification.
"""
return self._get_attribute(self._SDM_ATT_MAP['Rdi'])
@Rdi.setter
def Rdi(self, value):
self._set_attribute(self._SDM_ATT_MAP['Rdi'], value)
@property
def ShortMaName(self):
"""
Returns
-------
- str: Sets the Short MA name. The format is determined in shortMaNameFormat. This is used with IEEE 802.1ag.
"""
return self._get_attribute(self._SDM_ATT_MAP['ShortMaName'])
@ShortMaName.setter
def ShortMaName(self, value):
self._set_attribute(self._SDM_ATT_MAP['ShortMaName'], value)
@property
def ShortMaNameFormat(self):
"""
Returns
-------
- str(primaryVid | characterString | 2octetInteger | rfc2685VpnId): Sets the Short MA Name format.
"""
return self._get_attribute(self._SDM_ATT_MAP['ShortMaNameFormat'])
@ShortMaNameFormat.setter
def ShortMaNameFormat(self, value):
self._set_attribute(self._SDM_ATT_MAP['ShortMaNameFormat'], value)
@property
def TstEnableUnicastMac(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstEnableUnicastMac'])
@TstEnableUnicastMac.setter
def TstEnableUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstEnableUnicastMac'], value)
@property
def TstIncrPacketLength(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstIncrPacketLength'])
@TstIncrPacketLength.setter
def TstIncrPacketLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstIncrPacketLength'], value)
@property
def TstIncrPacketLengthStep(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstIncrPacketLengthStep'])
@TstIncrPacketLengthStep.setter
def TstIncrPacketLengthStep(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstIncrPacketLengthStep'], value)
@property
def TstInitialPatternValue(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstInitialPatternValue'])
@TstInitialPatternValue.setter
def TstInitialPatternValue(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstInitialPatternValue'], value)
@property
def TstInterval(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstInterval'])
@TstInterval.setter
def TstInterval(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstInterval'], value)
@property
def TstMode(self):
"""
Returns
-------
- str(start | stop): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstMode'])
@TstMode.setter
def TstMode(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstMode'], value)
@property
def TstOverwriteSequenceNumber(self):
"""
Returns
-------
- bool: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstOverwriteSequenceNumber'])
@TstOverwriteSequenceNumber.setter
def TstOverwriteSequenceNumber(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstOverwriteSequenceNumber'], value)
@property
def TstPacketLength(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstPacketLength'])
@TstPacketLength.setter
def TstPacketLength(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstPacketLength'], value)
@property
def TstPatternType(self):
"""
Returns
-------
- str(nullSignalWithoutCrc32 | nullSignalWithCrc32 | prbs2311WithoutCrc32 | prbs2311WithCrc32): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstPatternType'])
@TstPatternType.setter
def TstPatternType(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstPatternType'], value)
@property
def TstPriority(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstPriority'])
@TstPriority.setter
def TstPriority(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstPriority'], value)
@property
def TstSequenceNumber(self):
"""
Returns
-------
- number: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstSequenceNumber'])
@TstSequenceNumber.setter
def TstSequenceNumber(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstSequenceNumber'], value)
@property
def TstTestType(self):
"""
Returns
-------
- str(inService | outOfService): NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstTestType'])
@TstTestType.setter
def TstTestType(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstTestType'], value)
@property
def TstUnicastMac(self):
"""
Returns
-------
- str: NOT DEFINED
"""
return self._get_attribute(self._SDM_ATT_MAP['TstUnicastMac'])
@TstUnicastMac.setter
def TstUnicastMac(self, value):
self._set_attribute(self._SDM_ATT_MAP['TstUnicastMac'], value)
@property
def Ttl(self):
"""
Returns
-------
- number: Sets the MP Time-to-live value. Default is 64. Min: 1 Max: 255
"""
return self._get_attribute(self._SDM_ATT_MAP['Ttl'])
@Ttl.setter
def Ttl(self, value):
self._set_attribute(self._SDM_ATT_MAP['Ttl'], value)
@property
def Vlan(self):
"""
Returns
-------
- str(None | /api/v1/sessions/1/ixnetwork/vport/.../vlans): Assigns a VLAN to the MP. The VLAN must be previously configured.
"""
return self._get_attribute(self._SDM_ATT_MAP['Vlan'])
@Vlan.setter
def Vlan(self, value):
self._set_attribute(self._SDM_ATT_MAP['Vlan'], value)
def update(self, AddCcmCustomTlvs=None, AddDataTlv=None, AddInterfaceStatusTlv=None, AddLbmCustomTlvs=None, AddLbrCustomTlvs=None, AddLmmCustomTlvs=None, AddLmrCustomTlvs=None, AddLtmCustomTlvs=None, AddLtrCustomTlvs=None, AddOrganizationSpecificTlv=None, AddPortStatusTlv=None, AddSenderIdTlv=None, AisEnableUnicastMac=None, AisInterval=None, AisMode=None, AisPriority=None, AisUnicastMac=None, AutoDmAllDestination=None, AutoDmDestination=None, AutoDmIteration=None, AutoDmTimeout=None, AutoDmTimer=None, AutoLbAllDestination=None, AutoLbDestination=None, AutoLbIteration=None, AutoLbTimeout=None, AutoLbTimer=None, AutoLmIteration=None, AutoLmTimeout=None, AutoLmTimer=None, AutoLtAllDestination=None, AutoLtDestination=None, AutoLtIteration=None, AutoLtTimeout=None, AutoLtTimer=None, CciInterval=None, CcmLmmTxFcf=None, CcmLmmTxFcfStep=None, CcmPriority=None, CcmRxFcb=None, CcmRxFcbStep=None, ChassisId=None, ChassisIdLength=None, ChassisIdSubType=None, DataTlvLength=None, DataTlvValue=None, DmMethod=None, DmPriority=None, DmmPriority=None, EnableAisRx=None, EnableAutoDm=None, EnableAutoLb=None, EnableAutoLm=None, EnableAutoLt=None, EnableLckRx=None, EnableLmCounterUpdate=None, EnableTstRx=None, Enabled=None, InterRemoteMepRxIncrementStep=None, InterRemoteMepTxIncrementStep=None, LbmPriority=None, LckEnableUnicastMac=None, LckInterval=None, LckMode=None, LckPriority=None, LckSupportAisGeneration=None, LckUnicastMac=None, LmAllRemoteMeps=None, LmDestinationMacAddress=None, LmMethod=None, LmmPriority=None, LmrPriority=None, LmrRxFcf=None, LmrRxFcfStep=None, LtmPriority=None, MacAddress=None, ManagementAddress=None, ManagementAddressDomain=None, ManagementAddressDomainLength=None, ManagementAddressLength=None, MdLevel=None, MegId=None, MegIdFormat=None, MepId=None, MipId=None, MpType=None, OrganizationSpecificTlvLength=None, OrganizationSpecificTlvValue=None, OverrideVlanPriority=None, Rdi=None, ShortMaName=None, ShortMaNameFormat=None, TstEnableUnicastMac=None, TstIncrPacketLength=None, TstIncrPacketLengthStep=None, TstInitialPatternValue=None, TstInterval=None, TstMode=None, TstOverwriteSequenceNumber=None, TstPacketLength=None, TstPatternType=None, TstPriority=None, TstSequenceNumber=None, TstTestType=None, TstUnicastMac=None, Ttl=None, Vlan=None):
"""Updates mp resource on the server.
Args
----
- AddCcmCustomTlvs (bool): If true, adds a custom CCM TLV to bridge messages.
- AddDataTlv (bool): If true, adds a data TLV to bridge messages.
- AddInterfaceStatusTlv (bool): If true, adds an interface status TLV to bridge messages.
- AddLbmCustomTlvs (bool): If true, adds a custom loopback message TLV to bridge messages.
- AddLbrCustomTlvs (bool): If true, adds a custom loopback response message TLV to bridge messages.
- AddLmmCustomTlvs (bool): NOT DEFINED
- AddLmrCustomTlvs (bool): NOT DEFINED
- AddLtmCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddLtrCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddOrganizationSpecificTlv (bool): If true, adds a custom organization specific message TLV to bridge messages.
- AddPortStatusTlv (bool): If true, adds a custom port statust message TLV to bridge messages.
- AddSenderIdTlv (bool): If true, adds a custom sender ID message TLV to bridge messages.
- AisEnableUnicastMac (bool): NOT DEFINED
- AisInterval (str(oneSec | oneMin)): NOT DEFINED
- AisMode (str(auto | start | stop)): NOT DEFINED
- AisPriority (number): NOT DEFINED
- AisUnicastMac (str): NOT DEFINED
- AutoDmAllDestination (bool): If true, enables the automatic sending of DM Messages.
- AutoDmDestination (str): The sent MAC address for the DM, if autoDmAllDestination is set to true.
- AutoDmIteration (number): The count for how many times DMMs will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoDmTimeout (number): The timeout period in seconds to wait for a response to DMMs. This value should be less than the Auto LB Timer. Default is 30. Min: 1 Max: 65535
- AutoDmTimer (number): The time period in seconds between DMMs. Default is 60. Min: 1 Max: 65535
- AutoLbAllDestination (bool): If true, enables the automatic sending of Loopback Messages.
- AutoLbDestination (str): Sets the loopback destination MAC address.
- AutoLbIteration (number): The count for how many times LBM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLbTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLbTimer (number): The time period in seconds between LBMs. Default is 60. Min: 1 Max: 65535
- AutoLmIteration (number): NOT DEFINED
- AutoLmTimeout (number): NOT DEFINED
- AutoLmTimer (number): NOT DEFINED
- AutoLtAllDestination (bool): If true, enables the automatic sending to Link Trace Messages.
- AutoLtDestination (str): Sets the link trance destination MAC address.
- AutoLtIteration (number): The count for how many times LTM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLtTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLtTimer (number): The time period in seconds between LTMs. Default is 60. Min: 1 Max: 65535
- CciInterval (str(3.33msec | 10msec | 100msec | 1sec | 10sec | 1min | 10min)): Sets the Continuity Check Interval (CCI).
- CcmLmmTxFcf (number): NOT DEFINED
- CcmLmmTxFcfStep (number): NOT DEFINED
- CcmPriority (number): Sets the priority for Continuity Check Messages. The default is 0. Min: 0 Max: 7
- CcmRxFcb (number): NOT DEFINED
- CcmRxFcbStep (number): NOT DEFINED
- ChassisId (str): Sets the chassis identification. Default is 00 00 00 00 00 00. This will take Hex value as input (0-255 byte).
- ChassisIdLength (number): Sets the length of the Chassis ID field. Default is 6. Min: 0 Max: 255.
- ChassisIdSubType (str(chassisComponent | interfaceAlias | portComponent | macAddress | networkAddress | interfaceName | locallyAssigned)): Sets the chassis identifier sub-type for the optional TLV messages. Options are:
- DataTlvLength (number): Sets the length of the Data TLV field. Default is 4. Min: 0 Max: 1500.
- DataTlvValue (str): This attribute will take Hex value of data. This data TLV will be added both for periodic LBM and requested LBM transmit. Default is 44 61 74 61.
- DmMethod (str(twoWay | oneWay)): The type of Delay Measurment support.
- DmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs one-way or two-way (for both type of DM Methodfor each MIP). The default is 0.
- DmmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs. The default is 0. Min: 0 Max: 7
- EnableAisRx (bool): NOT DEFINED
- EnableAutoDm (bool): If true, enables the automatic sending of DM Messages.
- EnableAutoLb (bool): If true, enables the automatic sending of Loopback messages.
- EnableAutoLm (bool): NOT DEFINED
- EnableAutoLt (bool): If true, enables the automatic sending of Link Trace messages.
- EnableLckRx (bool): NOT DEFINED
- EnableLmCounterUpdate (bool): NOT DEFINED
- EnableTstRx (bool): NOT DEFINED
- Enabled (bool): If true, the MP is enabled.
- InterRemoteMepRxIncrementStep (number): NOT DEFINED
- InterRemoteMepTxIncrementStep (number): NOT DEFINED
- LbmPriority (number): Sets the priority for Loopback Messages. This priority will be used only for periodic LBMs. The default is 0. Min: 0 Max: 7
- LckEnableUnicastMac (bool): NOT DEFINED
- LckInterval (str(oneSec | oneMin)): NOT DEFINED
- LckMode (str(auto | start | stop)): NOT DEFINED
- LckPriority (number): NOT DEFINED
- LckSupportAisGeneration (bool): NOT DEFINED
- LckUnicastMac (str): NOT DEFINED
- LmAllRemoteMeps (bool): NOT DEFINED
- LmDestinationMacAddress (str): NOT DEFINED
- LmMethod (str(singleEnded | dualEnded)): NOT DEFINED
- LmmPriority (number): NOT DEFINED
- LmrPriority (number): NOT DEFINED
- LmrRxFcf (number): NOT DEFINED
- LmrRxFcfStep (number): NOT DEFINED
- LtmPriority (number): Sets the priority for Link Trace Messages. This priority will be used only for periodic LTMs. The default is 0. Min: 0 Max: 7
- MacAddress (str): The MAC address of the MP.
- ManagementAddress (str): Sets the MP management address. Input type is HEX (0-255 byte). Default is 01 02 03 03 04 05.
- ManagementAddressDomain (str): Sets the MP management address domain. This will take HEX input (0-255 byte). Default is 4d 61 6e 61 67 65 6d 65 6e 74 20 41 64 64 72 20 44 6f 6d 61 69 6e (Management Addr Domain).
- ManagementAddressDomainLength (number): Sets the length of the Management address domain field. Default is 22. Min: 0 Max: 255.
- ManagementAddressLength (number): Sets the length of the Management address field. Default is 6. Min: 0 Max: 255.
- MdLevel (str(None | /api/v1/sessions/1/ixnetwork/vport/.../mdLevel)): The MD level of the MP. The MD level must be previously configured.
- MegId (str): The MEG identifier of the MP. This is for use with ITU-T Y.1731.
- MegIdFormat (str(iccBasedFormat | primaryVid | characterString | 2octetInteger | rfc2685VpnId)): The MEG identifier format.
- MepId (number): The MEP identifier.
- MipId (number): The MIP identifier.
- MpType (str(mip | mep)): Sets the MP type.
- OrganizationSpecificTlvLength (number): Sets the length of the organizational specific TLV field. Default is 4. Min: 4 Max: 1500
- OrganizationSpecificTlvValue (str): Sets the value of the organizational specific TLV field. This attribute will take Hex value. Default is NULL.
- OverrideVlanPriority (bool): If true, overrides the set VLAN priority for this bridge, and uses the advanced settings instead.
- Rdi (str(auto | on | off)): The Remote Defect Identification.
- ShortMaName (str): Sets the Short MA name. The format is determined in shortMaNameFormat. This is used with IEEE 802.1ag.
- ShortMaNameFormat (str(primaryVid | characterString | 2octetInteger | rfc2685VpnId)): Sets the Short MA Name format.
- TstEnableUnicastMac (bool): NOT DEFINED
- TstIncrPacketLength (bool): NOT DEFINED
- TstIncrPacketLengthStep (number): NOT DEFINED
- TstInitialPatternValue (number): NOT DEFINED
- TstInterval (number): NOT DEFINED
- TstMode (str(start | stop)): NOT DEFINED
- TstOverwriteSequenceNumber (bool): NOT DEFINED
- TstPacketLength (number): NOT DEFINED
- TstPatternType (str(nullSignalWithoutCrc32 | nullSignalWithCrc32 | prbs2311WithoutCrc32 | prbs2311WithCrc32)): NOT DEFINED
- TstPriority (number): NOT DEFINED
- TstSequenceNumber (number): NOT DEFINED
- TstTestType (str(inService | outOfService)): NOT DEFINED
- TstUnicastMac (str): NOT DEFINED
- Ttl (number): Sets the MP Time-to-live value. Default is 64. Min: 1 Max: 255
- Vlan (str(None | /api/v1/sessions/1/ixnetwork/vport/.../vlans)): Assigns a VLAN to the MP. The VLAN must be previously configured.
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._update(self._map_locals(self._SDM_ATT_MAP, locals()))
def add(self, AddCcmCustomTlvs=None, AddDataTlv=None, AddInterfaceStatusTlv=None, AddLbmCustomTlvs=None, AddLbrCustomTlvs=None, AddLmmCustomTlvs=None, AddLmrCustomTlvs=None, AddLtmCustomTlvs=None, AddLtrCustomTlvs=None, AddOrganizationSpecificTlv=None, AddPortStatusTlv=None, AddSenderIdTlv=None, AisEnableUnicastMac=None, AisInterval=None, AisMode=None, AisPriority=None, AisUnicastMac=None, AutoDmAllDestination=None, AutoDmDestination=None, AutoDmIteration=None, AutoDmTimeout=None, AutoDmTimer=None, AutoLbAllDestination=None, AutoLbDestination=None, AutoLbIteration=None, AutoLbTimeout=None, AutoLbTimer=None, AutoLmIteration=None, AutoLmTimeout=None, AutoLmTimer=None, AutoLtAllDestination=None, AutoLtDestination=None, AutoLtIteration=None, AutoLtTimeout=None, AutoLtTimer=None, CciInterval=None, CcmLmmTxFcf=None, CcmLmmTxFcfStep=None, CcmPriority=None, CcmRxFcb=None, CcmRxFcbStep=None, ChassisId=None, ChassisIdLength=None, ChassisIdSubType=None, DataTlvLength=None, DataTlvValue=None, DmMethod=None, DmPriority=None, DmmPriority=None, EnableAisRx=None, EnableAutoDm=None, EnableAutoLb=None, EnableAutoLm=None, EnableAutoLt=None, EnableLckRx=None, EnableLmCounterUpdate=None, EnableTstRx=None, Enabled=None, InterRemoteMepRxIncrementStep=None, InterRemoteMepTxIncrementStep=None, LbmPriority=None, LckEnableUnicastMac=None, LckInterval=None, LckMode=None, LckPriority=None, LckSupportAisGeneration=None, LckUnicastMac=None, LmAllRemoteMeps=None, LmDestinationMacAddress=None, LmMethod=None, LmmPriority=None, LmrPriority=None, LmrRxFcf=None, LmrRxFcfStep=None, LtmPriority=None, MacAddress=None, ManagementAddress=None, ManagementAddressDomain=None, ManagementAddressDomainLength=None, ManagementAddressLength=None, MdLevel=None, MegId=None, MegIdFormat=None, MepId=None, MipId=None, MpType=None, OrganizationSpecificTlvLength=None, OrganizationSpecificTlvValue=None, OverrideVlanPriority=None, Rdi=None, ShortMaName=None, ShortMaNameFormat=None, TstEnableUnicastMac=None, TstIncrPacketLength=None, TstIncrPacketLengthStep=None, TstInitialPatternValue=None, TstInterval=None, TstMode=None, TstOverwriteSequenceNumber=None, TstPacketLength=None, TstPatternType=None, TstPriority=None, TstSequenceNumber=None, TstTestType=None, TstUnicastMac=None, Ttl=None, Vlan=None):
"""Adds a new mp resource on the server and adds it to the container.
Args
----
- AddCcmCustomTlvs (bool): If true, adds a custom CCM TLV to bridge messages.
- AddDataTlv (bool): If true, adds a data TLV to bridge messages.
- AddInterfaceStatusTlv (bool): If true, adds an interface status TLV to bridge messages.
- AddLbmCustomTlvs (bool): If true, adds a custom loopback message TLV to bridge messages.
- AddLbrCustomTlvs (bool): If true, adds a custom loopback response message TLV to bridge messages.
- AddLmmCustomTlvs (bool): NOT DEFINED
- AddLmrCustomTlvs (bool): NOT DEFINED
- AddLtmCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddLtrCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddOrganizationSpecificTlv (bool): If true, adds a custom organization specific message TLV to bridge messages.
- AddPortStatusTlv (bool): If true, adds a custom port statust message TLV to bridge messages.
- AddSenderIdTlv (bool): If true, adds a custom sender ID message TLV to bridge messages.
- AisEnableUnicastMac (bool): NOT DEFINED
- AisInterval (str(oneSec | oneMin)): NOT DEFINED
- AisMode (str(auto | start | stop)): NOT DEFINED
- AisPriority (number): NOT DEFINED
- AisUnicastMac (str): NOT DEFINED
- AutoDmAllDestination (bool): If true, enables the automatic sending of DM Messages.
- AutoDmDestination (str): The sent MAC address for the DM, if autoDmAllDestination is set to true.
- AutoDmIteration (number): The count for how many times DMMs will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoDmTimeout (number): The timeout period in seconds to wait for a response to DMMs. This value should be less than the Auto LB Timer. Default is 30. Min: 1 Max: 65535
- AutoDmTimer (number): The time period in seconds between DMMs. Default is 60. Min: 1 Max: 65535
- AutoLbAllDestination (bool): If true, enables the automatic sending of Loopback Messages.
- AutoLbDestination (str): Sets the loopback destination MAC address.
- AutoLbIteration (number): The count for how many times LBM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLbTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLbTimer (number): The time period in seconds between LBMs. Default is 60. Min: 1 Max: 65535
- AutoLmIteration (number): NOT DEFINED
- AutoLmTimeout (number): NOT DEFINED
- AutoLmTimer (number): NOT DEFINED
- AutoLtAllDestination (bool): If true, enables the automatic sending to Link Trace Messages.
- AutoLtDestination (str): Sets the link trance destination MAC address.
- AutoLtIteration (number): The count for how many times LTM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLtTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLtTimer (number): The time period in seconds between LTMs. Default is 60. Min: 1 Max: 65535
- CciInterval (str(3.33msec | 10msec | 100msec | 1sec | 10sec | 1min | 10min)): Sets the Continuity Check Interval (CCI).
- CcmLmmTxFcf (number): NOT DEFINED
- CcmLmmTxFcfStep (number): NOT DEFINED
- CcmPriority (number): Sets the priority for Continuity Check Messages. The default is 0. Min: 0 Max: 7
- CcmRxFcb (number): NOT DEFINED
- CcmRxFcbStep (number): NOT DEFINED
- ChassisId (str): Sets the chassis identification. Default is 00 00 00 00 00 00. This will take Hex value as input (0-255 byte).
- ChassisIdLength (number): Sets the length of the Chassis ID field. Default is 6. Min: 0 Max: 255.
- ChassisIdSubType (str(chassisComponent | interfaceAlias | portComponent | macAddress | networkAddress | interfaceName | locallyAssigned)): Sets the chassis identifier sub-type for the optional TLV messages. Options are:
- DataTlvLength (number): Sets the length of the Data TLV field. Default is 4. Min: 0 Max: 1500.
- DataTlvValue (str): This attribute will take Hex value of data. This data TLV will be added both for periodic LBM and requested LBM transmit. Default is 44 61 74 61.
- DmMethod (str(twoWay | oneWay)): The type of Delay Measurment support.
- DmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs one-way or two-way (for both type of DM Methodfor each MIP). The default is 0.
- DmmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs. The default is 0. Min: 0 Max: 7
- EnableAisRx (bool): NOT DEFINED
- EnableAutoDm (bool): If true, enables the automatic sending of DM Messages.
- EnableAutoLb (bool): If true, enables the automatic sending of Loopback messages.
- EnableAutoLm (bool): NOT DEFINED
- EnableAutoLt (bool): If true, enables the automatic sending of Link Trace messages.
- EnableLckRx (bool): NOT DEFINED
- EnableLmCounterUpdate (bool): NOT DEFINED
- EnableTstRx (bool): NOT DEFINED
- Enabled (bool): If true, the MP is enabled.
- InterRemoteMepRxIncrementStep (number): NOT DEFINED
- InterRemoteMepTxIncrementStep (number): NOT DEFINED
- LbmPriority (number): Sets the priority for Loopback Messages. This priority will be used only for periodic LBMs. The default is 0. Min: 0 Max: 7
- LckEnableUnicastMac (bool): NOT DEFINED
- LckInterval (str(oneSec | oneMin)): NOT DEFINED
- LckMode (str(auto | start | stop)): NOT DEFINED
- LckPriority (number): NOT DEFINED
- LckSupportAisGeneration (bool): NOT DEFINED
- LckUnicastMac (str): NOT DEFINED
- LmAllRemoteMeps (bool): NOT DEFINED
- LmDestinationMacAddress (str): NOT DEFINED
- LmMethod (str(singleEnded | dualEnded)): NOT DEFINED
- LmmPriority (number): NOT DEFINED
- LmrPriority (number): NOT DEFINED
- LmrRxFcf (number): NOT DEFINED
- LmrRxFcfStep (number): NOT DEFINED
- LtmPriority (number): Sets the priority for Link Trace Messages. This priority will be used only for periodic LTMs. The default is 0. Min: 0 Max: 7
- MacAddress (str): The MAC address of the MP.
- ManagementAddress (str): Sets the MP management address. Input type is HEX (0-255 byte). Default is 01 02 03 03 04 05.
- ManagementAddressDomain (str): Sets the MP management address domain. This will take HEX input (0-255 byte). Default is 4d 61 6e 61 67 65 6d 65 6e 74 20 41 64 64 72 20 44 6f 6d 61 69 6e (Management Addr Domain).
- ManagementAddressDomainLength (number): Sets the length of the Management address domain field. Default is 22. Min: 0 Max: 255.
- ManagementAddressLength (number): Sets the length of the Management address field. Default is 6. Min: 0 Max: 255.
- MdLevel (str(None | /api/v1/sessions/1/ixnetwork/vport/.../mdLevel)): The MD level of the MP. The MD level must be previously configured.
- MegId (str): The MEG identifier of the MP. This is for use with ITU-T Y.1731.
- MegIdFormat (str(iccBasedFormat | primaryVid | characterString | 2octetInteger | rfc2685VpnId)): The MEG identifier format.
- MepId (number): The MEP identifier.
- MipId (number): The MIP identifier.
- MpType (str(mip | mep)): Sets the MP type.
- OrganizationSpecificTlvLength (number): Sets the length of the organizational specific TLV field. Default is 4. Min: 4 Max: 1500
- OrganizationSpecificTlvValue (str): Sets the value of the organizational specific TLV field. This attribute will take Hex value. Default is NULL.
- OverrideVlanPriority (bool): If true, overrides the set VLAN priority for this bridge, and uses the advanced settings instead.
- Rdi (str(auto | on | off)): The Remote Defect Identification.
- ShortMaName (str): Sets the Short MA name. The format is determined in shortMaNameFormat. This is used with IEEE 802.1ag.
- ShortMaNameFormat (str(primaryVid | characterString | 2octetInteger | rfc2685VpnId)): Sets the Short MA Name format.
- TstEnableUnicastMac (bool): NOT DEFINED
- TstIncrPacketLength (bool): NOT DEFINED
- TstIncrPacketLengthStep (number): NOT DEFINED
- TstInitialPatternValue (number): NOT DEFINED
- TstInterval (number): NOT DEFINED
- TstMode (str(start | stop)): NOT DEFINED
- TstOverwriteSequenceNumber (bool): NOT DEFINED
- TstPacketLength (number): NOT DEFINED
- TstPatternType (str(nullSignalWithoutCrc32 | nullSignalWithCrc32 | prbs2311WithoutCrc32 | prbs2311WithCrc32)): NOT DEFINED
- TstPriority (number): NOT DEFINED
- TstSequenceNumber (number): NOT DEFINED
- TstTestType (str(inService | outOfService)): NOT DEFINED
- TstUnicastMac (str): NOT DEFINED
- Ttl (number): Sets the MP Time-to-live value. Default is 64. Min: 1 Max: 255
- Vlan (str(None | /api/v1/sessions/1/ixnetwork/vport/.../vlans)): Assigns a VLAN to the MP. The VLAN must be previously configured.
Returns
-------
- self: This instance with all currently retrieved mp resources using find and the newly added mp resources available through an iterator or index
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._create(self._map_locals(self._SDM_ATT_MAP, locals()))
def remove(self):
"""Deletes all the contained mp resources in this instance from the server.
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
self._delete()
def find(self, AddCcmCustomTlvs=None, AddDataTlv=None, AddInterfaceStatusTlv=None, AddLbmCustomTlvs=None, AddLbrCustomTlvs=None, AddLmmCustomTlvs=None, AddLmrCustomTlvs=None, AddLtmCustomTlvs=None, AddLtrCustomTlvs=None, AddOrganizationSpecificTlv=None, AddPortStatusTlv=None, AddSenderIdTlv=None, AisEnableUnicastMac=None, AisInterval=None, AisMode=None, AisPriority=None, AisUnicastMac=None, AutoDmAllDestination=None, AutoDmDestination=None, AutoDmIteration=None, AutoDmTimeout=None, AutoDmTimer=None, AutoLbAllDestination=None, AutoLbDestination=None, AutoLbIteration=None, AutoLbTimeout=None, AutoLbTimer=None, AutoLmIteration=None, AutoLmTimeout=None, AutoLmTimer=None, AutoLtAllDestination=None, AutoLtDestination=None, AutoLtIteration=None, AutoLtTimeout=None, AutoLtTimer=None, CciInterval=None, CcmLmmTxFcf=None, CcmLmmTxFcfStep=None, CcmPriority=None, CcmRxFcb=None, CcmRxFcbStep=None, ChassisId=None, ChassisIdLength=None, ChassisIdSubType=None, DataTlvLength=None, DataTlvValue=None, DmMethod=None, DmPriority=None, DmmPriority=None, EnableAisRx=None, EnableAutoDm=None, EnableAutoLb=None, EnableAutoLm=None, EnableAutoLt=None, EnableLckRx=None, EnableLmCounterUpdate=None, EnableTstRx=None, Enabled=None, InterRemoteMepRxIncrementStep=None, InterRemoteMepTxIncrementStep=None, LbmPriority=None, LckEnableUnicastMac=None, LckInterval=None, LckMode=None, LckPriority=None, LckSupportAisGeneration=None, LckUnicastMac=None, LmAllRemoteMeps=None, LmDestinationMacAddress=None, LmMethod=None, LmmPriority=None, LmrPriority=None, LmrRxFcf=None, LmrRxFcfStep=None, LtmPriority=None, MacAddress=None, ManagementAddress=None, ManagementAddressDomain=None, ManagementAddressDomainLength=None, ManagementAddressLength=None, MdLevel=None, MegId=None, MegIdFormat=None, MepId=None, MipId=None, MpType=None, OrganizationSpecificTlvLength=None, OrganizationSpecificTlvValue=None, OverrideVlanPriority=None, Rdi=None, ShortMaName=None, ShortMaNameFormat=None, TstEnableUnicastMac=None, TstIncrPacketLength=None, TstIncrPacketLengthStep=None, TstInitialPatternValue=None, TstInterval=None, TstMode=None, TstOverwriteSequenceNumber=None, TstPacketLength=None, TstPatternType=None, TstPriority=None, TstSequenceNumber=None, TstTestType=None, TstUnicastMac=None, Ttl=None, Vlan=None):
"""Finds and retrieves mp resources from the server.
All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve mp resources from the server.
To retrieve an exact match ensure the parameter value starts with ^ and ends with $
By default the find method takes no parameters and will retrieve all mp resources from the server.
Args
----
- AddCcmCustomTlvs (bool): If true, adds a custom CCM TLV to bridge messages.
- AddDataTlv (bool): If true, adds a data TLV to bridge messages.
- AddInterfaceStatusTlv (bool): If true, adds an interface status TLV to bridge messages.
- AddLbmCustomTlvs (bool): If true, adds a custom loopback message TLV to bridge messages.
- AddLbrCustomTlvs (bool): If true, adds a custom loopback response message TLV to bridge messages.
- AddLmmCustomTlvs (bool): NOT DEFINED
- AddLmrCustomTlvs (bool): NOT DEFINED
- AddLtmCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddLtrCustomTlvs (bool): If true, adds a custom link trace message TLV to bridge messages.
- AddOrganizationSpecificTlv (bool): If true, adds a custom organization specific message TLV to bridge messages.
- AddPortStatusTlv (bool): If true, adds a custom port statust message TLV to bridge messages.
- AddSenderIdTlv (bool): If true, adds a custom sender ID message TLV to bridge messages.
- AisEnableUnicastMac (bool): NOT DEFINED
- AisInterval (str(oneSec | oneMin)): NOT DEFINED
- AisMode (str(auto | start | stop)): NOT DEFINED
- AisPriority (number): NOT DEFINED
- AisUnicastMac (str): NOT DEFINED
- AutoDmAllDestination (bool): If true, enables the automatic sending of DM Messages.
- AutoDmDestination (str): The sent MAC address for the DM, if autoDmAllDestination is set to true.
- AutoDmIteration (number): The count for how many times DMMs will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoDmTimeout (number): The timeout period in seconds to wait for a response to DMMs. This value should be less than the Auto LB Timer. Default is 30. Min: 1 Max: 65535
- AutoDmTimer (number): The time period in seconds between DMMs. Default is 60. Min: 1 Max: 65535
- AutoLbAllDestination (bool): If true, enables the automatic sending of Loopback Messages.
- AutoLbDestination (str): Sets the loopback destination MAC address.
- AutoLbIteration (number): The count for how many times LBM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLbTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLbTimer (number): The time period in seconds between LBMs. Default is 60. Min: 1 Max: 65535
- AutoLmIteration (number): NOT DEFINED
- AutoLmTimeout (number): NOT DEFINED
- AutoLmTimer (number): NOT DEFINED
- AutoLtAllDestination (bool): If true, enables the automatic sending to Link Trace Messages.
- AutoLtDestination (str): Sets the link trance destination MAC address.
- AutoLtIteration (number): The count for how many times LTM will be transmitted. Default is 0 (no limit). Min: 0 Max: 2^32
- AutoLtTimeout (number): The timeout period in seconds to wait for a response to LTMs. This value should be less than the Auto LT Timer. Default is 30. Min: 1 Max: 65535
- AutoLtTimer (number): The time period in seconds between LTMs. Default is 60. Min: 1 Max: 65535
- CciInterval (str(3.33msec | 10msec | 100msec | 1sec | 10sec | 1min | 10min)): Sets the Continuity Check Interval (CCI).
- CcmLmmTxFcf (number): NOT DEFINED
- CcmLmmTxFcfStep (number): NOT DEFINED
- CcmPriority (number): Sets the priority for Continuity Check Messages. The default is 0. Min: 0 Max: 7
- CcmRxFcb (number): NOT DEFINED
- CcmRxFcbStep (number): NOT DEFINED
- ChassisId (str): Sets the chassis identification. Default is 00 00 00 00 00 00. This will take Hex value as input (0-255 byte).
- ChassisIdLength (number): Sets the length of the Chassis ID field. Default is 6. Min: 0 Max: 255.
- ChassisIdSubType (str(chassisComponent | interfaceAlias | portComponent | macAddress | networkAddress | interfaceName | locallyAssigned)): Sets the chassis identifier sub-type for the optional TLV messages. Options are:
- DataTlvLength (number): Sets the length of the Data TLV field. Default is 4. Min: 0 Max: 1500.
- DataTlvValue (str): This attribute will take Hex value of data. This data TLV will be added both for periodic LBM and requested LBM transmit. Default is 44 61 74 61.
- DmMethod (str(twoWay | oneWay)): The type of Delay Measurment support.
- DmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs one-way or two-way (for both type of DM Methodfor each MIP). The default is 0.
- DmmPriority (number): Sets the priority for DM Messages. This priority will be used only for periodic DMMs. The default is 0. Min: 0 Max: 7
- EnableAisRx (bool): NOT DEFINED
- EnableAutoDm (bool): If true, enables the automatic sending of DM Messages.
- EnableAutoLb (bool): If true, enables the automatic sending of Loopback messages.
- EnableAutoLm (bool): NOT DEFINED
- EnableAutoLt (bool): If true, enables the automatic sending of Link Trace messages.
- EnableLckRx (bool): NOT DEFINED
- EnableLmCounterUpdate (bool): NOT DEFINED
- EnableTstRx (bool): NOT DEFINED
- Enabled (bool): If true, the MP is enabled.
- InterRemoteMepRxIncrementStep (number): NOT DEFINED
- InterRemoteMepTxIncrementStep (number): NOT DEFINED
- LbmPriority (number): Sets the priority for Loopback Messages. This priority will be used only for periodic LBMs. The default is 0. Min: 0 Max: 7
- LckEnableUnicastMac (bool): NOT DEFINED
- LckInterval (str(oneSec | oneMin)): NOT DEFINED
- LckMode (str(auto | start | stop)): NOT DEFINED
- LckPriority (number): NOT DEFINED
- LckSupportAisGeneration (bool): NOT DEFINED
- LckUnicastMac (str): NOT DEFINED
- LmAllRemoteMeps (bool): NOT DEFINED
- LmDestinationMacAddress (str): NOT DEFINED
- LmMethod (str(singleEnded | dualEnded)): NOT DEFINED
- LmmPriority (number): NOT DEFINED
- LmrPriority (number): NOT DEFINED
- LmrRxFcf (number): NOT DEFINED
- LmrRxFcfStep (number): NOT DEFINED
- LtmPriority (number): Sets the priority for Link Trace Messages. This priority will be used only for periodic LTMs. The default is 0. Min: 0 Max: 7
- MacAddress (str): The MAC address of the MP.
- ManagementAddress (str): Sets the MP management address. Input type is HEX (0-255 byte). Default is 01 02 03 03 04 05.
- ManagementAddressDomain (str): Sets the MP management address domain. This will take HEX input (0-255 byte). Default is 4d 61 6e 61 67 65 6d 65 6e 74 20 41 64 64 72 20 44 6f 6d 61 69 6e (Management Addr Domain).
- ManagementAddressDomainLength (number): Sets the length of the Management address domain field. Default is 22. Min: 0 Max: 255.
- ManagementAddressLength (number): Sets the length of the Management address field. Default is 6. Min: 0 Max: 255.
- MdLevel (str(None | /api/v1/sessions/1/ixnetwork/vport/.../mdLevel)): The MD level of the MP. The MD level must be previously configured.
- MegId (str): The MEG identifier of the MP. This is for use with ITU-T Y.1731.
- MegIdFormat (str(iccBasedFormat | primaryVid | characterString | 2octetInteger | rfc2685VpnId)): The MEG identifier format.
- MepId (number): The MEP identifier.
- MipId (number): The MIP identifier.
- MpType (str(mip | mep)): Sets the MP type.
- OrganizationSpecificTlvLength (number): Sets the length of the organizational specific TLV field. Default is 4. Min: 4 Max: 1500
- OrganizationSpecificTlvValue (str): Sets the value of the organizational specific TLV field. This attribute will take Hex value. Default is NULL.
- OverrideVlanPriority (bool): If true, overrides the set VLAN priority for this bridge, and uses the advanced settings instead.
- Rdi (str(auto | on | off)): The Remote Defect Identification.
- ShortMaName (str): Sets the Short MA name. The format is determined in shortMaNameFormat. This is used with IEEE 802.1ag.
- ShortMaNameFormat (str(primaryVid | characterString | 2octetInteger | rfc2685VpnId)): Sets the Short MA Name format.
- TstEnableUnicastMac (bool): NOT DEFINED
- TstIncrPacketLength (bool): NOT DEFINED
- TstIncrPacketLengthStep (number): NOT DEFINED
- TstInitialPatternValue (number): NOT DEFINED
- TstInterval (number): NOT DEFINED
- TstMode (str(start | stop)): NOT DEFINED
- TstOverwriteSequenceNumber (bool): NOT DEFINED
- TstPacketLength (number): NOT DEFINED
- TstPatternType (str(nullSignalWithoutCrc32 | nullSignalWithCrc32 | prbs2311WithoutCrc32 | prbs2311WithCrc32)): NOT DEFINED
- TstPriority (number): NOT DEFINED
- TstSequenceNumber (number): NOT DEFINED
- TstTestType (str(inService | outOfService)): NOT DEFINED
- TstUnicastMac (str): NOT DEFINED
- Ttl (number): Sets the MP Time-to-live value. Default is 64. Min: 1 Max: 255
- Vlan (str(None | /api/v1/sessions/1/ixnetwork/vport/.../vlans)): Assigns a VLAN to the MP. The VLAN must be previously configured.
Returns
-------
- self: This instance with matching mp resources retrieved from the server available through an iterator or index
Raises
------
- ServerError: The server has encountered an uncategorized error condition
"""
return self._select(self._map_locals(self._SDM_ATT_MAP, locals()))
def read(self, href):
"""Retrieves a single instance of mp data from the server.
Args
----
- href (str): An href to the instance to be retrieved
Returns
-------
- self: This instance with the mp resources from the server available through an iterator or index
Raises
------
- NotFoundError: The requested resource does not exist on the server
- ServerError: The server has encountered an uncategorized error condition
"""
return self._read(href)
| 47.402079
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| 0.015042
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| 0.286458
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| null | 0
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0
| 7
|
5d06a47c2f766659260cd9cc96ceedfc62f94242
| 22,517
|
py
|
Python
|
pytrx/transformation.py
|
dleshchev/trx
|
9a2ac79c539ec1e9db0faaf2fdcdd85dc5de430f
|
[
"MIT"
] | 2
|
2021-01-27T16:50:43.000Z
|
2022-02-23T20:57:39.000Z
|
pytrx/transformation.py
|
dleshchev/trx
|
9a2ac79c539ec1e9db0faaf2fdcdd85dc5de430f
|
[
"MIT"
] | 4
|
2020-06-09T02:02:02.000Z
|
2020-06-12T15:35:58.000Z
|
pytrx/transformation.py
|
dleshchev/trx
|
9a2ac79c539ec1e9db0faaf2fdcdd85dc5de430f
|
[
"MIT"
] | 2
|
2020-02-03T15:40:37.000Z
|
2022-02-03T18:00:22.000Z
|
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 4 17:33:17 2016
@author: darren
A library of predefined moves for the Molecule class.
"""
import numpy as np
import math
import copy
from pytrx.utils import AtomicMass
from abc import (ABC as _ABC, abstractmethod as _abstractmethod)
class Transformation(_ABC):
''' Abstract class for transformations
'''
def __init__(self, dw=None, name=None):
self.dw = copy.deepcopy(dw)
# print('debug', name)
self.name = name
assert self.name is not None, 'Transofrmation must have name keyword that is not None'
assert type(self.name) == str, 'Transformation name must be a string'
@_abstractmethod
def prepare(self, xyz, Z_num):
'''computes the necessary '''
@_abstractmethod
def describe(self):
'''transformation description '''
@_abstractmethod
def transform(self, xyz, Z_num, amplitude=None):
pass
class Transformation_move_vector(Transformation):
# Move a group of atoms along a vector (normalized)
def __init__(self, group1, vector, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
self.group1 = np.array(group1)
self.vector = np.array(vector)
self.unit_vector = np.array(vector) / np.linalg.norm(vector)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
# return self
def describe(self):
print(" Moving group1 along a predefined vector.")
print(f' Group 1: {self.group1}')
print(f' Vector : {self.unit_vector}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group1] += self.unit_vector * amplitude
return xyz
class Transformation_group_vector(Transformation):
# Move a group of atoms along a vector that is constructed by the center of coordinates of two other groups.
# Vector will be from vector_group 1 to vector_group 2
def __init__(self, group1, vector_groups, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
self.group1 = np.array(group1)
self.vector_groups = vector_groups
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.vector_groups[0]) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.vector_groups[1]) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
self.vector = np.mean(xyz[self.vector_groups[1]], 0) - np.mean(xyz[self.vector_groups[0]], 0)
self.unit_vector = np.array(self.vector) / np.linalg.norm(self.vector)
# return self
def describe(self):
print(" Moving group1 along a vector constructed by two other groups (mean of coordinates).")
print(" Vector will be from vector_group 1 to vector_group 2")
print(f' Group 1: {self.group1}')
print(f' Vector_group 1: {self.vector_groups[0]}')
print(f' Vector_group 2: {self.vector_groups[1]}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group1] -= self.unit_vector * amplitude
return xyz
class Transformation_vibration(Transformation):
def __init__(self, dxyz, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
self.dxyz = dxyz
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert self.dxyz.shape[0] == xyz.shape[0], \
'number of atoms in transformation and in the molecule must match'
return self
def describe(self):
print("Move all atoms along a predefined vibrational mode.")
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
return xyz + self.dxyz * amplitude
class Transformation_distance(Transformation):
# Move two groups of atoms closer/further in distance, using simple mean of coordinates as
# reference centers for each group.
# Vector is from group1 to group2. Negative amplitude is shrinking.
def __init__(self, group1, group2, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(group2) > 0), 'Cannot operate on empty set'
self.group1 = np.array(group1)
self.group2 = np.array(group2)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.group2) <= len(xyz)), \
"Index out of bound: largest index of group 2 > length of supplied molecule"
self.group1_mean = np.mean(xyz[self.group1], 0)
self.group2_mean = np.mean(xyz[self.group2], 0)
self.unit_vec = (self.group2_mean - self.group1_mean) / np.linalg.norm(self.group2_mean - self.group1_mean)
# return self
def describe(self):
print(f' Increasing / decreasing distance between group1 and group2 using '
f'simple mean of coordinates as centers.\n'
f' Both groups move.')
print(f' Group 1: {self.group1}')
print(f' Group 2: {self.group2}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group1] -= self.unit_vec * amplitude / 2
xyz[self.group2] += self.unit_vec * amplitude / 2
return xyz
class Transformation_distance_1side(Transformation):
# Move GROUP 2 toward/away from GROUP 1 in distance, using simple mean of coordinates as
# reference centers for each group.
# Vector is from group1 to group2. Negative amplitude is shrinking.
# GROUP 1 is fixed.
def __init__(self, group1, group2, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(group2) > 0), 'Cannot operate on empty set'
self.group1 = np.array(group1)
self.group2 = np.array(group2)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.group2) <= len(xyz)), \
"Index out of bound: largest index of group 2 > length of supplied molecule"
self.group1_mean = np.mean(xyz[self.group1], 0)
self.group2_mean = np.mean(xyz[self.group2], 0)
self.unit_vec = (self.group2_mean - self.group1_mean) / np.linalg.norm(self.group2_mean - self.group1_mean)
# return self
def describe(self):
print(f' Increasing / decreasing distance between group1 and group2 using '
f'simple mean of coordinates as centers.\n'
f' Only group 2 moves.')
print(f' Group 1: {self.group1}')
print(f' Group 2: {self.group2}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group2] += self.unit_vec * amplitude
return xyz
class Transformation_distance_1side_expand(Transformation):
# Move GROUP 2 toward/away from GROUP 1 in distance, using simple mean of coordinates as
# reference centers for each group.
# Vector is from group1 to group2. Negative amplitude is shrinking.
# GROUP 1 is fixed.
def __init__(self, group1, group2, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(group2) > 0), 'Cannot operate on empty set'
self.group1 = np.array(group1)
self.group2 = np.array(group2)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.group2) <= len(xyz)), \
"Index out of bound: largest index of group 2 > length of supplied molecule"
self.group1_mean = np.mean(xyz[self.group1], 0)
# self.group2_mean = np.mean(xyz[self.group2], 0)
self.vecs = (xyz[self.group2] - self.group1_mean) / np.mean(np.linalg.norm(xyz[self.group2] - self.group1_mean, axis=1))
#self.vecs = (xyz[self.group2] - self.group1_mean) / np.linalg.norm(xyz[self.group2] - self.group1_mean, axis=1)[:,None]
# return self
def describe(self):
print(f' Increasing / decreasing distance between group1 and group2, ATOMWISE, using '
f'simple mean of coordinates as centers.\n'
f' Only group 2 moves.')
print(f' Group 1: {self.group1}')
print(f' Group 2: {self.group2}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group2] += self.vecs * amplitude
return xyz
class Transformation_distanceCOM(Transformation):
# Move two group of atoms closer/further in distance, using center of mass as ref centers for each group
# Vector is from group1 to group2. Negative amplitude is shrinking.
def __init__(self, group1, group2, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(group2) > 0), 'Cannot operate on empty set'
self.group1 = np.array(group1)
self.group2 = np.array(group2)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.group2) <= len(xyz)), \
"Index out of bound: largest index of group 2 > length of supplied molecule"
self.group1_COM = np.sum(xyz[self.group1].T * AtomicMass()[Z_num[self.group1] - 1],
1) / np.sum(AtomicMass()[Z_num[self.group1] - 1])
self.group2_COM = np.sum(xyz[self.group2].T * AtomicMass()[Z_num[self.group2] - 1],
1) / np.sum(AtomicMass()[Z_num[self.group2] - 1])
self.unit_vec = (self.group2_COM - self.group1_COM) / np.linalg.norm(self.group2_COM - self.group1_COM)
self.unit_vec = self.unit_vec.T
# return self
def describe(self):
print(f' Increasing / decreasing distance between group1 and group2 using centers of masses as centers.\n'
f' Both groups move.')
print(f' Group 1: {self.group1}')
print(f' Group 2: {self.group2}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group1] -= self.unit_vec * amplitude / 2
xyz[self.group2] += self.unit_vec * amplitude / 2
return xyz
class Transformation_distanceCOM_1side(Transformation):
# Move GROUP 2 toward/away from GROUP 1 in distance, using center of mass as ref centers for each group
# Vector is from group1 to group2. Negative amplitude is shrinking.
# GROUP 1 is fixed.
def __init__(self, group1, group2, amplitude0=0, reprep=True, **kwargs):
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(group2) > 0), 'Cannot operate on empty set'
self.group1 = np.array(group1)
self.group2 = np.array(group2)
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
assert (np.max(self.group2) <= len(xyz)), \
"Index out of bound: largest index of group 2 > length of supplied molecule"
self.group1_COM = np.sum(xyz[self.group1].T * AtomicMass()[Z_num[self.group1] - 1],
1) / np.sum(AtomicMass()[Z_num[self.group1] - 1])
self.group2_COM = np.sum(xyz[self.group2].T * AtomicMass()[Z_num[self.group2] - 1],
1) / np.sum(AtomicMass()[Z_num[self.group2] - 1])
self.unit_vec = (self.group2_COM - self.group1_COM) / np.linalg.norm(self.group2_COM - self.group1_COM)
self.unit_vec = self.unit_vec.T
# return self
def describe(self):
print(f' Increasing / decreasing distance between group1 and group2 using centers of masses as centers.\n'
f' Only group 2 moves.')
print(f' Group 1: {self.group1}')
print(f' Group 2: {self.group2}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
xyz[self.group2] += self.unit_vec * amplitude
return xyz
class Transformation_rotation(Transformation):
def __init__(self, group1, axis_groups, amplitude0=0, reprep=True, **kwargs):
# A, B, and C can be group of atoms.
# Centers will be the mean of their coordinates.
# If axis is length 2 (AB), use vector AB as the rotation axis
# If axis is length 3 (ABC), use the center of central group as the center,
# the cross vector of AB and BC as axis.
# Amplitude is in degrees
# Rotation is counterclockwise for an observer to whom the axis vector is pointing (right hand rule)
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(axis_groups) > 0), 'Cannot operate on empty set'
assert (len(axis_groups) == 2) or (len(axis_groups) == 3), 'Axis must be defined with 2 or 3 groups'
for i in np.arange(len(axis_groups)):
assert (len(axis_groups[i]) > 0), f'Axis group {i} is empty'
self.group1 = group1
self.axis_groups = axis_groups
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
for i in np.arange(len(self.axis_groups)):
assert (np.max(self.axis_groups[i]) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
self.group1_mean = np.mean(xyz[self.group1], 0)
self.A_mean = np.mean(xyz[self.axis_groups[0]], 0)
self.B_mean = np.mean(xyz[self.axis_groups[1]], 0)
if len(self.axis_groups) == 3:
self.C_mean = np.mean(xyz[self.axis_groups[2]], 0)
if len(self.axis_groups) == 2: # Then use AB as vector
self.axis = self.B_mean - self.A_mean
if len(self.axis_groups) == 3: # Use cross product of AB and BC as vector
self.axis = np.cross(self.B_mean - self.A_mean, self.C_mean - self.B_mean)
# return self
def describe(self):
if len(self.axis_groups) == 2:
print(f' Rotate group 1 along the axis from center of axis_group 1 to center of axis_group 2.\n')
elif len(self.axis_groups) == 3:
print(f' Rotate group 1 along the axis normal to the plane spanned by\n'
f' center of axis_group 1 to center of axis_group 2 and \n'
f' center of axis_group 2 to center of axis_group 3. \n'
f' Center is defined as simple mean of coordinates in that group.')
print(f' Group 1: {self.group1}')
print(f' Axis_group 1: {self.axis_groups[0]}')
print(f' Axis_group 2: {self.axis_groups[1]}')
if len(self.axis_groups) == 3:
print(f' Axis_group 3: {self.axis_groups[2]}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
# Shift reference frame, rotate, then shift back
if len(self.axis_groups) == 2:
xyz[self.group1] = rotation3D((xyz[self.group1] - self.A_mean).T, self.axis, amplitude).T + self.A_mean
if len(self.axis_groups) == 3:
xyz[self.group1] = rotation3D((xyz[self.group1] - self.B_mean).T, self.axis, amplitude).T + self.B_mean
return xyz
class Transformation_rotationCOM(Transformation):
def __init__(self, group1, axis_groups, amplitude0=0, reprep=True, **kwargs):
# A, B, and C can be group of atoms.
# Centers will be the mean of their coordinates.
# If axis is length 2 (AB), use vector AB as the rotation axis
# If axis is length 3 (ABC), use the center of central group as the center,
# the cross vector of AB and BC as axis.
# Amplitude is in degrees
# Rotation is counterclockwise for an observer to whom the axis vector is pointing (right hand rule)
super().__init__(**kwargs)
assert (len(group1) > 0) and (len(axis_groups) > 0), 'Cannot operate on empty set'
assert (len(axis_groups) == 2) or (len(axis_groups) == 3), 'Axis must be defined with 2 or 3 groups'
for i in np.arange(len(axis_groups)):
assert (len(axis_groups[i]) > 0), f'Axis group {i} is empty'
self.group1 = group1
self.axis_groups = axis_groups
self.amplitude0 = amplitude0
self.reprep = reprep
def prepare(self, xyz, Z_num):
assert (np.max(self.group1) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
for i in np.arange(len(self.axis_groups)):
assert (np.max(self.axis_groups) <= len(xyz)), \
"Index out of bound: largest index of group 1 > length of supplied molecule"
self.A_COM = np.sum(xyz[self.axis_groups[0]].T * AtomicMass()[Z_num[self.axis_groups[0]] - 1],
1) / np.sum(AtomicMass()[Z_num[self.axis_groups[0]] - 1])
self.B_COM = np.sum(xyz[self.axis_groups[1]].T * AtomicMass()[Z_num[self.axis_groups[1]] - 1],
1) / np.sum(AtomicMass()[Z_num[self.axis_groups[1]] - 1])
if len(self.axis_groups) == 3:
self.C_COM = np.sum(xyz[self.axis_groups[2]].T * AtomicMass()[Z_num[self.axis_groups[2]] - 1],
1) / np.sum(AtomicMass()[Z_num[self.axis_groups[2]] - 1])
if len(self.axis_groups) == 2: # Then use AB as vector
self.axis = self.B_COM - self.A_COM
if len(self.axis_groups) == 3: # Use cross product of AB and BC as vector
self.axis = np.cross(self.B_COM - self.A_COM, self.C_COM - self.B_COM)
# return self
def describe(self):
if len(self.axis_groups) == 2:
print(f' Rotate group 1 along the axis from center of axis_group 1 to center of axis_group 2\n')
elif len(self.axis_groups) == 3:
print(f' Rotate group 1 along the axis normal to the plane spanned by\n'
f' center of axis_group 1 to center of axis_group 2 and \n'
f' center of axis_group 2 to center of axis_group 3. \n'
f' Center is defined as center of mass in that group.')
print(f' Group 1: {self.group1}')
print(f' Axis_group 1: {self.axis_groups[0]}')
print(f' Axis_group 2: {self.axis_groups[1]}')
if len(self.axis_groups) == 3:
print(f' Axis_group 3: {self.axis_groups[2]}')
def transform(self, xyz, Z_num, amplitude=None):
if amplitude is None:
amplitude = self.amplitude0
if self.reprep:
self.prepare(xyz, Z_num)
if len(self.axis_groups) == 2:
xyz[self.group1] = rotation3D((xyz[self.group1] - self.A_COM).T, self.axis, amplitude).T + self.A_COM
if len(self.axis_groups) == 3:
xyz[self.group1] = rotation3D((xyz[self.group1] - self.B_COM).T, self.axis, amplitude).T + self.B_COM
return xyz
def rotation3D(v, axis, degrees):
"""
Return the rotation matrix associated with counterclockwise rotation about
the given axis by theta radians. Using the Euler-Rodrigues formula:
https://stackoverflow.com/questions/6802577/rotation-of-3d-vector
"""
axis = np.asarray(axis)
axis = axis / math.sqrt(np.dot(axis, axis))
theta = degrees * math.pi / 180
a = math.cos(theta / 2.0)
b, c, d = -axis * math.sin(theta / 2.0)
aa, bb, cc, dd = a * a, b * b, c * c, d * d
bc, ad, ac, ab, bd, cd = b * c, a * d, a * c, a * b, b * d, c * d
rot_mat = np.array([[aa + bb - cc - dd, 2 * (bc + ad), 2 * (bd - ac)],
[2 * (bc - ad), aa + cc - bb - dd, 2 * (cd + ab)],
[2 * (bd + ac), 2 * (cd - ab), aa + dd - bb - cc]])
return np.dot(rot_mat, v)
# this seems to fix the issues with links to the classes/subclasses
all_classes = [Transformation_distance,
Transformation_distance_1side,
Transformation_distance_1side_expand,
Transformation_move_vector,
Transformation_group_vector,
Transformation_vibration,
Transformation_distanceCOM,
Transformation_distanceCOM_1side,
Transformation_rotation,
Transformation_rotationCOM]
[issubclass(i, Transformation) for i in all_classes]
| 43.469112
| 128
| 0.616823
| 3,151
| 22,517
| 4.301492
| 0.07458
| 0.056072
| 0.041316
| 0.017855
| 0.845286
| 0.833997
| 0.817618
| 0.795559
| 0.782352
| 0.766711
| 0
| 0.027442
| 0.27175
| 22,517
| 517
| 129
| 43.553191
| 0.799122
| 0.128303
| 0
| 0.736111
| 0
| 0
| 0.206053
| 0.008807
| 0
| 0
| 0
| 0
| 0.088889
| 1
| 0.125
| false
| 0.002778
| 0.013889
| 0
| 0.202778
| 0.1
| 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
|
5d0a545b86f7503be447402d1d7841206cf36bce
| 3,386
|
py
|
Python
|
Cole/data_input.py
|
lhq1208/Cole
|
c64806415c6202f8d58f28c627dee11a6d64bcf4
|
[
"Apache-2.0"
] | null | null | null |
Cole/data_input.py
|
lhq1208/Cole
|
c64806415c6202f8d58f28c627dee11a6d64bcf4
|
[
"Apache-2.0"
] | null | null | null |
Cole/data_input.py
|
lhq1208/Cole
|
c64806415c6202f8d58f28c627dee11a6d64bcf4
|
[
"Apache-2.0"
] | null | null | null |
__author__='lhq'
import os
import numpy as np
from PIL import Image
from torch.utils.data import Dataset
def get_train_img():
"""
获取输入数据
:return:
"""
cwd=os.getcwd()
mi_dir=cwd+'/dataset/train/mi/'
shu_dir=cwd+'/dataset/train/shu/'
file1=os.listdir(mi_dir)
file0=os.listdir(shu_dir)
# file1.sort(key=lambda x: int(x[:-4]))
# file0.sort(key=lambda x: int(x[:-4]))
mi_img_list=np.empty((1, 64, 64, 3))
shu_img_list = np.empty((1, 64, 64, 3))
label=[]
for mi_img_content in file1:
mi_img=Image.open(mi_dir+mi_img_content)
mi_img = np.array(mi_img).reshape((1, 64, 64, 3))
mi_img_list = np.concatenate((mi_img_list, mi_img), axis=0)
label.append(1)
for shu_img_content in file0:
shu_img=Image.open(shu_dir+shu_img_content)
shu_img = np.array(shu_img).reshape((1, 64, 64, 3))
shu_img_list = np.concatenate((shu_img_list, shu_img), axis=0)
label.append(0)
mi_img_list = np.delete(mi_img_list, 0, 0)
shu_img_list = np.delete(shu_img_list, 0, 0)
label=[int(i) for i in label]
label=np.array(label)
img_list=np.concatenate((mi_img_list, shu_img_list), axis=0)
return img_list,label
def get_test_img():
"""
获取输入数据
:return:
"""
cwd=os.getcwd()
mi_dir=cwd+'/dataset/test/mi/'
shu_dir=cwd+'/dataset/test/shu/'
file1=os.listdir(mi_dir)
file0=os.listdir(shu_dir)
# file1.sort(key=lambda x: int(x[:-4]))
# file0.sort(key=lambda x: int(x[:-4]))
mi_img_list=np.empty((1, 64, 64, 3))
shu_img_list = np.empty((1, 64, 64, 3))
label=[]
for mi_img_content in file1:
mi_img=Image.open(mi_dir+mi_img_content)
mi_img = np.array(mi_img).reshape((1, 64, 64, 3))
mi_img_list = np.concatenate((mi_img_list, mi_img), axis=0)
label.append(1)
for shu_img_content in file0:
shu_img=Image.open(shu_dir+shu_img_content)
shu_img = np.array(shu_img).reshape((1, 64, 64, 3))
shu_img_list = np.concatenate((shu_img_list, shu_img), axis=0)
label.append(0)
mi_img_list = np.delete(mi_img_list, 0, 0)
shu_img_list = np.delete(shu_img_list, 0, 0)
label=[int(i) for i in label]
label=np.array(label)
img_list=np.concatenate((mi_img_list, shu_img_list), axis=0)
return img_list,label
class MyTrainDataset(Dataset):
def __init__(self, transform=None, target_transform=None):
imgs,label = get_train_img()
self.imgs = imgs
self.label=label
self.transform = transform
self.target_transform = target_transform
def __getitem__(self, index):
img = self.imgs[index]
label=self.label[index]
if self.transform is not None:
img = self.transform(img)
return img,label
def __len__(self):
return len(self.imgs)
class MyTestDataset(Dataset):
def __init__(self, transform=None, target_transform=None):
imgs,label = get_test_img()
self.imgs = imgs
self.label=label
self.transform = transform
self.target_transform = target_transform
def __getitem__(self, index):
img = self.imgs[index]
label=self.label[index]
if self.transform is not None:
img = self.transform(img)
return img,label
def __len__(self):
return len(self.imgs)
| 31.351852
| 70
| 0.634377
| 532
| 3,386
| 3.778195
| 0.12782
| 0.097512
| 0.062687
| 0.023881
| 0.917413
| 0.899502
| 0.899502
| 0.899502
| 0.899502
| 0.899502
| 0
| 0.031575
| 0.233018
| 3,386
| 107
| 71
| 31.64486
| 0.742395
| 0.054341
| 0
| 0.823529
| 0
| 0
| 0.023742
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.094118
| false
| 0
| 0.047059
| 0.023529
| 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
|
5d40ddf440292d698e38f65d1a987e6f8365ade2
| 7,097
|
py
|
Python
|
tests/test_0006-notify-when-downloaded.py
|
ryuwd/uproot4
|
20d8575e941c32559c7b5e62b0ed5f92bc4927d0
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0006-notify-when-downloaded.py
|
ryuwd/uproot4
|
20d8575e941c32559c7b5e62b0ed5f92bc4927d0
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_0006-notify-when-downloaded.py
|
ryuwd/uproot4
|
20d8575e941c32559c7b5e62b0ed5f92bc4927d0
|
[
"BSD-3-Clause"
] | null | null | null |
# BSD 3-Clause License; see https://github.com/scikit-hep/uproot4/blob/main/LICENSE
from __future__ import absolute_import
import sys
import os
try:
from io import StringIO
except ImportError:
from StringIO import StringIO
try:
import queue
except ImportError:
import Queue as queue
import numpy
import pytest
import uproot
def test_file(tmpdir):
filename = os.path.join(str(tmpdir), "tmp.raw")
with open(filename, "wb") as tmp:
tmp.write(b"****** ...+++++++!!!!!@@@@@")
notifications = queue.Queue()
with uproot.source.file.MultithreadedFileSource(filename, num_workers=1) as source:
chunks = source.chunks(
[(0, 6), (6, 10), (10, 13), (13, 20), (20, 25), (25, 30)],
notifications=notifications,
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
def test_file_workers(tmpdir):
filename = os.path.join(str(tmpdir), "tmp.raw")
with open(filename, "wb") as tmp:
tmp.write(b"****** ...+++++++!!!!!@@@@@")
notifications = queue.Queue()
with uproot.source.file.MultithreadedFileSource(filename, num_workers=5) as source:
chunks = source.chunks(
[(0, 6), (6, 10), (10, 13), (13, 20), (20, 25), (25, 30)],
notifications=notifications,
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
def test_memmap(tmpdir):
filename = os.path.join(str(tmpdir), "tmp.raw")
with open(filename, "wb") as tmp:
tmp.write(b"****** ...+++++++!!!!!@@@@@")
notifications = queue.Queue()
with uproot.source.file.MemmapSource(filename, num_fallback_workers=1) as source:
chunks = source.chunks(
[(0, 6), (6, 10), (10, 13), (13, 20), (20, 25), (25, 30)],
notifications=notifications,
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
def test_http_multipart():
notifications = queue.Queue()
with uproot.source.http.HTTPSource(
"https://example.com", timeout=10, num_fallback_workers=1
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
def test_http():
notifications = queue.Queue()
with uproot.source.http.MultithreadedHTTPSource(
"https://example.com", timeout=10, num_workers=1
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
def test_http_workers():
notifications = queue.Queue()
with uproot.source.http.MultithreadedHTTPSource(
"https://example.com", timeout=10, num_workers=2
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
def test_http_fallback():
notifications = queue.Queue()
with uproot.source.http.HTTPSource(
"https://scikit-hep.org/uproot3/examples/Zmumu.root",
timeout=10,
num_fallback_workers=1,
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
def test_http_fallback_workers():
notifications = queue.Queue()
with uproot.source.http.HTTPSource(
"https://scikit-hep.org/uproot3/examples/Zmumu.root",
timeout=10,
num_fallback_workers=5,
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
@pytest.mark.xrootd
def test_xrootd():
pytest.importorskip("XRootD")
notifications = queue.Queue()
with uproot.source.xrootd.MultithreadedXRootDSource(
"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root",
num_workers=1,
timeout=10,
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
@pytest.mark.xrootd
def test_xrootd_workers():
pytest.importorskip("XRootD")
notifications = queue.Queue()
with uproot.source.xrootd.MultithreadedXRootDSource(
"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root",
num_workers=5,
timeout=10,
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
@pytest.mark.network
@pytest.mark.xrootd
def test_xrootd_vectorread():
pytest.importorskip("XRootD")
notifications = queue.Queue()
with uproot.source.xrootd.XRootDSource(
"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root",
timeout=10,
max_num_elements=None,
num_workers=1,
) as source:
chunks = source.chunks(
[(0, 100), (50, 55), (200, 400)], notifications=notifications
)
expected = dict(((chunk.start, chunk.stop), chunk) for chunk in chunks)
while len(expected) > 0:
chunk = notifications.get()
expected.pop((chunk.start, chunk.stop))
| 33.956938
| 104
| 0.611949
| 826
| 7,097
| 5.193705
| 0.133172
| 0.061538
| 0.076923
| 0.097436
| 0.911888
| 0.911888
| 0.909557
| 0.909557
| 0.905828
| 0.892308
| 0
| 0.044904
| 0.243765
| 7,097
| 208
| 105
| 34.120192
| 0.754425
| 0.011413
| 0
| 0.757062
| 0
| 0
| 0.081409
| 0.039778
| 0
| 0
| 0
| 0
| 0
| 1
| 0.062147
| false
| 0
| 0.084746
| 0
| 0.146893
| 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
|
5d4689ba30a6ec018319e26f1c3c5b5763a05a1d
| 8,057
|
py
|
Python
|
tests/integration/ipu_copy_test.py
|
gglin001/popart
|
3225214343f6d98550b6620e809a3544e8bcbfc6
|
[
"MIT"
] | 61
|
2020-07-06T17:11:46.000Z
|
2022-03-12T14:42:51.000Z
|
tests/integration/ipu_copy_test.py
|
gglin001/popart
|
3225214343f6d98550b6620e809a3544e8bcbfc6
|
[
"MIT"
] | 1
|
2021-02-25T01:30:29.000Z
|
2021-11-09T11:13:14.000Z
|
tests/integration/ipu_copy_test.py
|
gglin001/popart
|
3225214343f6d98550b6620e809a3544e8bcbfc6
|
[
"MIT"
] | 6
|
2020-07-15T12:33:13.000Z
|
2021-11-07T06:55:00.000Z
|
# Copyright (c) 2019 Graphcore Ltd. All rights reserved.
import numpy as np
import popart
import pytest
import test_util as tu
@tu.requires_ipu_model
def test_ipu_copy_bca1():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i2])
o2 = builder.aiOnnx.add([i1, i2])
o = builder.aiOnnx.add([o1, o2])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o2, 0)
builder.virtualGraph(o, 1)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
s.prepareDevice()
# Will fail due to an invalid virtual graph
@tu.requires_ipu_model
def test_ipu_copy_aca1():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i2])
o2 = builder.aiOnnx.add([i1, i2])
o = builder.aiOnnx.add([o1, o2])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o2, 0)
builder.virtualGraph(o, 10) # << Invalid virtual graph
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
with pytest.raises(popart.popart_exception) as e_info:
s.prepareDevice()
assert (("inputs=[{}, {}], outputs=[{}]) " +
"has been assigned to an invalid virtual graph 10").format(
o1 + "_c10", o2 + "_c10", o) in e_info.value.args[0])
# Test that an input stream tensor is correctly mapped to multiple ipus
@tu.requires_ipu_model
def test_ipu_copy_bca4():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i2])
o2 = builder.aiOnnx.add([i1, i2])
t1 = builder.aiOnnx.transpose([i1], [])
o3 = builder.aiOnnx.add([o1, o2])
o = builder.aiOnnx.add([o3, t1])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o2, 2)
builder.virtualGraph(t1, 2)
builder.virtualGraph(o3, 1)
builder.virtualGraph(o, 1)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
s.prepareDevice()
# Test to ensure that same tensor it not copied multiple times to the same IPU
@tu.requires_ipu_model
def test_ipu_copy_bca2():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i2])
o2 = builder.aiOnnx.add([i1, i2])
o3 = builder.aiOnnx.add([o1, o2])
o4 = builder.aiOnnx.add([o1, o2])
o = builder.aiOnnx.add([o3, o4])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o2, 0)
builder.virtualGraph(o3, 1)
builder.virtualGraph(o4, 1)
builder.virtualGraph(o, 2)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
s.prepareDevice()
# Test to make sure that if a single op has multiple it mapped to multiple inputs then the copy does
# the right thing
@tu.requires_ipu_model
def test_ipu_copy_bca3():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i2])
o = builder.aiOnnx.add([o1, o1])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o, 1)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=2))
s.prepareDevice()
@tu.requires_ipu_model
def test_ipu_copy_bca5():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
constData = np.random.rand(2, 2).astype(np.float32)
c1 = builder.aiOnnx.constant(constData, "constShapeData")
i2 = builder.addInputTensor(popart.TensorInfo("FLOAT", [2, 2]))
o1 = builder.aiOnnx.add([c1, i2])
o2 = builder.aiOnnx.add([c1, i2])
t1 = builder.aiOnnx.transpose([c1], [])
o3 = builder.aiOnnx.add([o1, o2])
o = builder.aiOnnx.add([o3, t1])
builder.addOutputTensor(o)
builder.virtualGraph(o1, 0)
builder.virtualGraph(o2, 2)
builder.virtualGraph(t1, 2)
builder.virtualGraph(o3, 1)
builder.virtualGraph(o, 1)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
s.prepareDevice()
# IPU 0 * IPU 1
# =========================================
# *
# i1 -----> copy ---> mul
# | * |
# v * v
# add -----> copy --> add
# * |
# * v
# * output
@tu.requires_ipu_model
def test_copy_to_op_with_duplicate_inputs():
popart.getLogger().setLevel("TRACE")
builder = popart.Builder()
i1 = builder.addInputTensor(popart.TensorInfo("FLOAT", [1]))
o1 = builder.aiOnnx.add([i1, i1])
builder.virtualGraph(o1, 0)
o2 = builder.aiOnnx.mul([i1, i1])
builder.virtualGraph(o2, 1)
o3 = builder.aiOnnx.add([o1, o2])
builder.virtualGraph(o3, 1)
o = o3
builder.addOutputTensor(o)
proto = builder.getModelProto()
dataFlow = popart.DataFlow(1, {o: popart.AnchorReturnType("All")})
opts = popart.SessionOptions()
opts.virtualGraphMode = popart.VirtualGraphMode.Manual
s = popart.InferenceSession(fnModel=proto,
dataFlow=dataFlow,
userOptions=opts,
deviceInfo=tu.create_test_device(numIpus=3))
s.prepareDevice()
| 29.512821
| 100
| 0.61611
| 884
| 8,057
| 5.549774
| 0.149321
| 0.071545
| 0.07501
| 0.090501
| 0.838361
| 0.81064
| 0.781696
| 0.771912
| 0.732776
| 0.723808
| 0
| 0.030555
| 0.252575
| 8,057
| 272
| 101
| 29.621324
| 0.784125
| 0.081916
| 0
| 0.809249
| 0
| 0
| 0.029408
| 0
| 0
| 0
| 0
| 0
| 0.00578
| 1
| 0.040462
| false
| 0
| 0.023121
| 0
| 0.063584
| 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
|
537c1f786d320c3a7f49807d65abd0b8c2c122d5
| 10,605
|
py
|
Python
|
src/models/light/model.py
|
ab3llini/BlindLess
|
46c50fb2748b9d372044d00b901f0cde91946684
|
[
"MIT"
] | 1
|
2022-03-19T09:19:12.000Z
|
2022-03-19T09:19:12.000Z
|
src/models/light/model.py
|
ab3llini/BlindLess
|
46c50fb2748b9d372044d00b901f0cde91946684
|
[
"MIT"
] | 1
|
2020-02-06T18:26:07.000Z
|
2020-02-06T18:26:07.000Z
|
src/models/light/model.py
|
ab3llini/BlindLess
|
46c50fb2748b9d372044d00b901f0cde91946684
|
[
"MIT"
] | null | null | null |
import sys
import os
this_path = os.path.dirname(os.path.realpath(__file__))
root_path = os.path.abspath(os.path.join(this_path, os.pardir, os.pardir))
sys.path.append(root_path)
from torch import nn
from modules.image_encoders import *
from torchvision import models
from transformers import GPT2LMHeadModel, GPT2Tokenizer
gpt2_tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
class ModularGpt2(nn.Module):
def __init__(self):
super(ModularGpt2, self).__init__()
gpt2 = GPT2LMHeadModel.from_pretrained('gpt2')
self.head = list(gpt2.children())[1]
self.gpt2 = list(gpt2.children())[0]
def show_params(self):
for name, param in self.named_parameters():
if param.requires_grad:
print('Trainable : TRUE ->', name)
else:
print('Trainable : FALSE ->', name)
print('Trainable parameters: {}'.format(sum(p.numel() for p in self.parameters() if p.requires_grad)))
print('Total parameters: {}'.format(sum(p.numel() for p in self.parameters())))
class LightVggGpt2(ModularGpt2):
def __init__(self):
super(LightVggGpt2, self).__init__()
# Image encoder
self.image_encoder = VGGEncoder(models.vgg19(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=512, out_features=768)
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.head.parameters():
p.requires_grad = True
# 1 implement E S valdation loss
# max limit # epochs to 100
# train cuncurr 2 model with vgg
# 1 model avg
# 2 model max
def forward(self, sequence, image):
# (Batch size, 49, 512)
maps = self.image_encoder(image).reshape(-1, 49, 512)
# (Batch size, 1, 49, 768)
maps = self.expansion(maps).unsqueeze(1)
# (Batch size, sequence length, 1, 768)
hiddens = self.gpt2(sequence)[0].unsqueeze(2)
# (Batch size, sequence length, 768)
combined = (maps + hiddens).sum(dim=2).squeeze(2)
# (Batch size, sequence length, voc_size)
out = self.head(combined)
return out
class LightResGpt2(ModularGpt2):
def __init__(self):
super(LightResGpt2, self).__init__()
# Image encoder
self.image_encoder = ResNetEncoder(encoded_image_size=14, instance=models.resnet152(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=2048, out_features=768)
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.head.parameters():
p.requires_grad = True
def forward(self, sequence, image):
# (Batch size, 192, 2048)
maps = self.image_encoder(image).reshape(-1, 14 * 14, 2048)
# (Batch size, 1, 192, 768)
maps = self.expansion(maps).unsqueeze(1)
# (Batch size, sequence length, 1, 768)
hiddens = self.gpt2(sequence)[0].unsqueeze(2)
# (Batch size, sequence length, 768)
combined = (maps + hiddens).sum(dim=2).squeeze(2)
# (Batch size, sequence length, voc_size)
out = self.head(combined)
return out
class LightVggGpt2Avg(ModularGpt2):
def __init__(self):
super(LightVggGpt2Avg, self).__init__()
# Image encoder
self.image_encoder = VGGEncoder(models.vgg19(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=512, out_features=768)
# self.expansion.weight.data = torch.zeros(self.expansion.weight.size())
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.head.parameters():
p.requires_grad = False
# 1 implement E S valdation loss
# max limit # epochs to 100
# train cuncurr 2 model with vgg
# 1 model avg
# 2 model max
def forward(self, sequence, image):
# (Batch size, 512)
maps = self.image_encoder(image).reshape(-1, 49, 512).mean(dim=1)
# (Batch size, 1, 768)
maps = self.expansion(maps).unsqueeze(1)
# (Batch size, sequence length, 768)
hiddens = self.gpt2(sequence)[0]
# (Batch size, sequence length, 768)
combined = (maps + hiddens)
# (Batch size, sequence length, voc_size)
out = self.head(combined)
return out
class LightVggGpt2Max(ModularGpt2):
def __init__(self):
super(LightVggGpt2Max, self).__init__()
# Image encoder
self.image_encoder = VGGEncoder(models.vgg19(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=512, out_features=768)
# self.expansion.weight.data = torch.zeros(self.expansion.weight.size())
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.head.parameters():
p.requires_grad = False
def forward(self, sequence, image):
# (Batch size, 512)
maps = self.image_encoder(image).reshape(-1, 49, 512).max(dim=1)[0]
# (Batch size, 1, 768)
maps = self.expansion(maps).unsqueeze(1)
# (Batch size, sequence length, 768)
hiddens = self.gpt2(sequence)[0]
# (Batch size, sequence length, 768)
combined = (maps + hiddens)
# (Batch size, sequence length, voc_size)
out = self.head(combined)
return out
class LightVggGpt2AvgConcat(ModularGpt2):
def __init__(self):
super(LightVggGpt2AvgConcat, self).__init__()
# Image encoder
self.image_encoder = VGGEncoder(models.vgg19(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=512, out_features=768)
self.classifier = nn.Linear(in_features=768 * 2, out_features=len(gpt2_tokenizer))
# Copy the original weights and concat the new ones for the attention
with torch.no_grad():
self.classifier.weight.copy_(
torch.cat(
[
self.head.weight,
torch.zeros(self.head.weight.size())
],
dim=1
)
)
del self.head
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.classifier.parameters():
p.requires_grad = True
def forward(self, sequence, image):
# (Batch size, 512)
maps = self.image_encoder(image).reshape(-1, 49, 512).mean(dim=1)
# (Batch size, sequence length, 768)
hiddens = self.gpt2(sequence)[0]
# (Batch size, sequence length, 768)
maps = self.expansion(maps).unsqueeze(1).expand(-1, hiddens.shape[1], -1)
# (Batch size, sequence length, 768)
concat = torch.cat([hiddens, maps], dim=2)
# (Batch size, sequence length, voc_size)
out = self.classifier(concat)
return out
class LightVggGpt2MaxConcat(ModularGpt2):
def __init__(self):
super(LightVggGpt2MaxConcat, self).__init__()
# Image encoder
self.image_encoder = VGGEncoder(models.vgg19(pretrained=True))
# Linear expansion (from 512 to 768)
self.expansion = nn.Linear(in_features=512, out_features=768)
self.classifier = nn.Linear(in_features=768 * 2, out_features=len(gpt2_tokenizer))
# Copy the original weights and concat the new ones for the attention
with torch.no_grad():
self.classifier.weight.copy_(
torch.cat(
[
self.head.weight,
torch.zeros(self.head.weight.size())
],
dim=1
)
)
del self.head
# Disable weight update for both VGG and GPT-2
for p in self.image_encoder.parameters():
p.requires_grad = False
for p in self.gpt2.parameters():
p.requires_grad = False
# Enable weight updates for GPT-2 head and expander
for p in self.expansion.parameters():
p.requires_grad = True
for p in self.classifier.parameters():
p.requires_grad = True
def forward(self, sequence, image):
# (Batch size, 512)
maps = self.image_encoder(image).reshape(-1, 49, 512).max(dim=1)[0]
# (Batch size, sequence length, 768)
hiddens = self.gpt2(sequence)[0]
# (Batch size, sequence length, 768)
maps = self.expansion(maps).unsqueeze(1).expand(-1, hiddens.shape[1], -1)
# (Batch size, sequence length, 768)
concat = torch.cat([hiddens, maps], dim=2)
# (Batch size, sequence length, voc_size)
out = self.classifier(concat)
return out
if __name__ == '__main__':
"""
LightResGpt2().show_params()
LightVggGpt2().show_params()
LightVggGpt2Avg().show_params()
LightVggGpt2Max().show_params()
"""
LightVggGpt2AvgConcat().show_params()
| 35
| 110
| 0.603395
| 1,292
| 10,605
| 4.831269
| 0.109907
| 0.043255
| 0.024992
| 0.041653
| 0.833387
| 0.807434
| 0.807434
| 0.796379
| 0.796379
| 0.796379
| 0
| 0.044722
| 0.291561
| 10,605
| 302
| 111
| 35.115894
| 0.786104
| 0.217822
| 0
| 0.723529
| 0
| 0
| 0.01226
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.082353
| false
| 0
| 0.035294
| 0
| 0.194118
| 0.023529
| 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
|
539bb8bf573c54bb556bb06b77eafcf39add7bce
| 210
|
py
|
Python
|
project/acorta/models.py
|
cborao/Django-url-shortener
|
fb3aea7a947546dbfbffa516c5590d8eb4c60c14
|
[
"MIT"
] | null | null | null |
project/acorta/models.py
|
cborao/Django-url-shortener
|
fb3aea7a947546dbfbffa516c5590d8eb4c60c14
|
[
"MIT"
] | null | null | null |
project/acorta/models.py
|
cborao/Django-url-shortener
|
fb3aea7a947546dbfbffa516c5590d8eb4c60c14
|
[
"MIT"
] | null | null | null |
from django.db import models
class Content(models.Model):
key = models.CharField(max_length=200)
url = models.CharField(max_length=200)
def __str__(self):
return self.key + ": " + self.url
| 26.25
| 42
| 0.680952
| 29
| 210
| 4.724138
| 0.62069
| 0.218978
| 0.262774
| 0.350365
| 0.394161
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 0.2
| 210
| 7
| 43
| 30
| 0.779762
| 0
| 0
| 0
| 0
| 0
| 0.009524
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 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
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
53aa16faa7c602e62edd721652f7060aa128c59d
| 1,758
|
py
|
Python
|
test/docs/wiki_usage_test_2.py
|
acaceres2176/massweb
|
153d1e00ee293f467e88e7f5ce98617a5c13cfb7
|
[
"Apache-2.0"
] | null | null | null |
test/docs/wiki_usage_test_2.py
|
acaceres2176/massweb
|
153d1e00ee293f467e88e7f5ce98617a5c13cfb7
|
[
"Apache-2.0"
] | null | null | null |
test/docs/wiki_usage_test_2.py
|
acaceres2176/massweb
|
153d1e00ee293f467e88e7f5ce98617a5c13cfb7
|
[
"Apache-2.0"
] | null | null | null |
"""
>>> from massweb.mass_requests.mass_request import MassRequest
>>> from massweb.targets.target import Target
>>>
>>> target_1 = Target(url=u"http://course.hyperiongray.com/vuln1", data={"password": "blh123"}, ttype="post")
>>> target_2 = Target(url=u"http://course.hyperiongray.com/vuln2/898538a7335fd8e6bac310f079ba3fd1/", data={"how": "I'm good thx"}, ttype="post")
>>> target_3 = Target(url=u"http://www.hyperiongray.com/", ttype="get")
>>> targets = [target_1, target_2, target_3]
>>> mr = MassRequest()
>>> mr.request_targets(targets)
>>> for r in mr.results:
... print r
...
(<massweb.targets.target.Target object at 0x15496d0>, <Response [200]>)
(<massweb.targets.target.Target object at 0x1549650>, <Response [200]>)
(<massweb.targets.target.Target object at 0x1549490>, <Response [200]>)
>>> for target, response in mr.results:
... print target, response.status_code
...
http://course.hyperiongray.com/vuln2/898538a7335fd8e6bac310f079ba3fd1/ 200
http://www.hyperiongray.com/ 200
http://course.hyperiongray.com/vuln1 200``
"""
from massweb.mass_requests.mass_request import MassRequest
from massweb.targets.target import Target
target_1 = Target(url=u"http://course.hyperiongray.com/vuln1", data={"password": "blh123"}, ttype="post")
target_2 = Target(url=u"http://course.hyperiongray.com/vuln2/898538a7335fd8e6bac310f079ba3fd1/", data={"how": "I'm good thx"}, ttype="post")
target_3 = Target(url=u"http://www.hyperiongray.com/", ttype="get")
targets = [target_1, target_2, target_3]
mr = MassRequest()
mr.request_targets(targets)
for result in mr.results:
print result
for target, response in mr.results:
print target, response.status_code
| 46.263158
| 148
| 0.695677
| 225
| 1,758
| 5.346667
| 0.217778
| 0.112219
| 0.049875
| 0.069825
| 0.904406
| 0.879468
| 0.799668
| 0.799668
| 0.724855
| 0.724855
| 0
| 0.082563
| 0.138794
| 1,758
| 37
| 149
| 47.513514
| 0.712021
| 0
| 0
| 0
| 0
| 0
| 0.277955
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.083333
| 0.166667
| null | null | 0.166667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
53c8799043541488e59b587eddc5ff78f1a8b319
| 20,503
|
py
|
Python
|
lucid/modelzoo/slim_models/Inception.py
|
dguliani/lucid
|
6da3ab010e3442e0b56709ff69ccf3c50a500db4
|
[
"Apache-2.0"
] | 7
|
2018-11-06T20:49:27.000Z
|
2022-02-12T15:24:00.000Z
|
lucid/modelzoo/slim_models/Inception.py
|
dguliani/lucid
|
6da3ab010e3442e0b56709ff69ccf3c50a500db4
|
[
"Apache-2.0"
] | 2
|
2020-07-19T11:08:01.000Z
|
2022-01-22T10:29:30.000Z
|
lucid/modelzoo/slim_models/Inception.py
|
dguliani/lucid
|
6da3ab010e3442e0b56709ff69ccf3c50a500db4
|
[
"Apache-2.0"
] | 3
|
2019-04-02T15:57:30.000Z
|
2019-10-23T22:32:06.000Z
|
# Copyright 2018 The Lucid Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from __future__ import absolute_import, division, print_function
from lucid.modelzoo.vision_base import Model, _layers_from_list_of_dicts, IMAGENET_MEAN
class InceptionV1_slim(Model):
"""InceptionV1 as implemented by the TensorFlow slim framework.
InceptionV1 was introduced by Szegedy, et al (2014):
https://arxiv.org/pdf/1409.4842v1.pdf
This function provides the pre-trained reimplementation from TF slim:
https://github.com/tensorflow/models/tree/master/research/slim
corresponding to the name "inception_v1".
"""
layers = None
model_path = 'gs://modelzoo/vision/slim_models/InceptionV1.pb'
labels_path = 'gs://modelzoo/labels/ImageNet_standard_with_dummy.txt'
dataset = 'ImageNet'
image_shape = [224, 224, 3]
# inpute range taken from:
# https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py#L280
image_value_range = (-1, 1)
input_name = 'input'
InceptionV1_slim.layers = _layers_from_list_of_dicts(InceptionV1_slim, [
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Conv2d_1a_7x7/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Conv2d_2b_1x1/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Conv2d_2c_3x3/Relu', 'depth': 192},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_3b/concat', 'depth': 256},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_3c/concat', 'depth': 480},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_4b/concat', 'depth': 512},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_4c/concat', 'depth': 512},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_4d/concat', 'depth': 512},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_4e/concat', 'depth': 528},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_4f/concat', 'depth': 832},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_5b/concat', 'depth': 832},
{'tags': ['conv'], 'name': 'InceptionV1/InceptionV1/Mixed_5c/concat', 'depth': 1024},
{'tags': ['dense'], 'name': 'InceptionV1/Logits/Predictions/Softmax', 'depth': 1001},
])
class InceptionV2_slim(Model):
"""InceptionV2 as implemented by the TensorFlow slim framework.
InceptionV2 was introduced by Ioffe & Szegedy (2015):
https://arxiv.org/pdf/1502.03167.pdf
This function provides the pre-trained reimplementation from TF slim:
https://github.com/tensorflow/models/tree/master/research/slim
corresponding to the name "inception_v2".
"""
model_path = 'gs://modelzoo/vision/slim_models/InceptionV2.pb'
labels_path = 'gs://modelzoo/labels/ImageNet_standard_with_dummy.txt'
dataset = 'ImageNet'
image_shape = [224, 224, 3]
# inpute range taken from:
# https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py#L280
image_value_range = (-1, 1)
input_name = 'input'
InceptionV2_slim.layers = _layers_from_list_of_dicts(InceptionV2_slim, [
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Conv2d_1a_7x7/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Conv2d_2b_1x1/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Conv2d_2c_3x3/Relu', 'depth': 192},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_3b/concat', 'depth': 256},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_3c/concat', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_4a/concat', 'depth': 576},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_4b/concat', 'depth': 576},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_4c/concat', 'depth': 576},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_4d/concat', 'depth': 576},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_4e/concat', 'depth': 576},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_5a/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_5b/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV2/InceptionV2/Mixed_5c/concat', 'depth': 1024},
{'tags': ['dense'], 'name': 'InceptionV2/Predictions/Softmax', 'depth': 1001},
])
class InceptionV3_slim(Model):
"""InceptionV3 as implemented by the TensorFlow slim framework.
InceptionV3 was introduced by Szegedy, et al (2015)
https://arxiv.org/pdf/1512.00567.pdf
This function provides the pre-trained reimplementation from TF slim:
https://github.com/tensorflow/models/tree/master/research/slim
corresponding to the name "inception_v3".
"""
model_path = 'gs://modelzoo/vision/slim_models/InceptionV3.pb'
labels_path = 'gs://modelzoo/labels/ImageNet_standard_with_dummy.txt'
dataset = 'ImageNet'
image_shape = [299, 299, 3]
# inpute range taken from:
# https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py#L280
image_value_range = (-1, 1)
input_name = 'input'
InceptionV3_slim.layers = _layers_from_list_of_dicts(InceptionV3_slim, [
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu', 'depth': 80},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu', 'depth': 192},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_5b/concat', 'depth': 256},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_5c/concat', 'depth': 288},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_5d/concat', 'depth': 288},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_6a/concat', 'depth': 768},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_6b/concat', 'depth': 768},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_6c/concat', 'depth': 768},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_6d/concat', 'depth': 768},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_6e/concat', 'depth': 768},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_7a/concat', 'depth': 1280},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_7b/concat', 'depth': 2048},
{'tags': ['conv'], 'name': 'InceptionV3/InceptionV3/Mixed_7c/concat', 'depth': 2048},
{'tags': ['dense'], 'name': 'InceptionV3/Predictions/Softmax', 'depth': 1001},
])
class InceptionV4_slim(Model):
"""InceptionV4 as implemented by the TensorFlow slim framework.
InceptionV4 was introduced by Szegedy, et al (2016):
https://arxiv.org/pdf/1602.07261.pdf
This function provides the pre-trained reimplementation from TF slim:
https://github.com/tensorflow/models/tree/master/research/slim
corresponding to the name "inception_v4".
"""
model_path = 'gs://modelzoo/vision/slim_models/InceptionV4.pb'
labels_path = 'gs://modelzoo/labels/ImageNet_standard_with_dummy.txt'
dataset = 'ImageNet'
image_shape = [299, 299, 3]
# inpute range taken from:
# https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py#L280
image_value_range = (-1, 1)
input_name = 'input'
InceptionV4_slim.layers = _layers_from_list_of_dicts(InceptionV4_slim, [
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Conv2d_1a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Conv2d_2a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Conv2d_2b_3x3/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_3a/concat', 'depth': 160},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_4a/concat', 'depth': 192},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_5a/concat', 'depth': 384},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_5b/concat', 'depth': 384},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_5c/concat', 'depth': 384},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_5d/concat', 'depth': 384},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_5e/concat', 'depth': 384},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6a/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6b/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6c/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6d/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6e/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6f/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6g/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_6h/concat', 'depth': 1024},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_7a/concat', 'depth': 1536},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_7b/concat', 'depth': 1536},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_7c/concat', 'depth': 1536},
{'tags': ['conv'], 'name': 'InceptionV4/InceptionV4/Mixed_7d/concat', 'depth': 1536},
{'tags': ['dense'], 'name': 'InceptionV4/Logits/Predictions', 'depth': 1001},
])
class InceptionResnetV2_slim(Model):
"""InceptionResnetV2 as implemented by the TensorFlow slim framework.
InceptionResnetV2 was introduced in this paper by Szegedy, et al (2016):
https://arxiv.org/pdf/1602.07261.pdf
This function provides the pre-trained reimplementation from TF slim:
https://github.com/tensorflow/models/tree/master/research/slim
corresponding to the name "inception_resnet_v2".
"""
model_path = 'gs://modelzoo/vision/slim_models/InceptionResnetV2.pb'
labels_path = 'gs://modelzoo/labels/ImageNet_standard_with_dummy.txt'
dataset = 'ImageNet'
image_shape = [299, 299, 3]
# inpute range taken from:
# https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py#L280
image_value_range = (-1, 1)
input_name = 'input'
# TODO: understand this graph, see if we can delete some add or relu nodes from layers
InceptionResnetV2_slim.layers = _layers_from_list_of_dicts(InceptionResnetV2_slim, [
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_1a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_2a_3x3/Relu', 'depth': 32},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_2b_3x3/Relu', 'depth': 64},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_3b_1x1/Relu', 'depth': 80},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_4a_3x3/Relu', 'depth': 192},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Mixed_5b/concat', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_1/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_1/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_2/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_2/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_3/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_3/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_4/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_4/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_5/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_5/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_6/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_6/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_7/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_7/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_8/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_8/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_9/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_9/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_10/add', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat/block35_10/Relu', 'depth': 320},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Mixed_6a/concat', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_1/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_1/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_2/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_2/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_3/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_3/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_4/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_4/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_5/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_5/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_6/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_6/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_7/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_7/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_8/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_8/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_9/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_9/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_10/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_10/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_11/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_11/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_12/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_12/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_13/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_13/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_14/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_14/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_15/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_15/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_16/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_16/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_17/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_17/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_18/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_18/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_19/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_19/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_20/add', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_1/block17_20/Relu', 'depth': 1088},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Mixed_7a/concat', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_1/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_1/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_2/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_2/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_3/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_3/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_4/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_4/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_5/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_5/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_6/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_6/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_7/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_7/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_8/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_8/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_9/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Repeat_2/block8_9/Relu', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Block8/add', 'depth': 2080},
{'tags': ['conv'], 'name': 'InceptionResnetV2/InceptionResnetV2/Conv2d_7b_1x1/Relu', 'depth': 1536},
{'tags': ['dense'], 'name': 'InceptionResnetV2/Logits/Predictions', 'depth': 1001},
])
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53e39b988bbbfc1830bfae11f36bc40533867931
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py
|
Python
|
tbn/app.py
|
RabidGuy/tbn
|
005abdadcaeccaf4a2737dc5c1b76870165bfa1a
|
[
"MIT"
] | null | null | null |
tbn/app.py
|
RabidGuy/tbn
|
005abdadcaeccaf4a2737dc5c1b76870165bfa1a
|
[
"MIT"
] | null | null | null |
tbn/app.py
|
RabidGuy/tbn
|
005abdadcaeccaf4a2737dc5c1b76870165bfa1a
|
[
"MIT"
] | null | null | null |
import cmd
class App(cmd.Cmd):
pass
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0
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54d807743d979e6f69e2be357519b982d511d6bf
| 172
|
py
|
Python
|
ibsng/handler/stat/get_user_queue_stats.py
|
ParspooyeshFanavar/pyibsng
|
d48bcf4f25e3f23461528bf0ff8870cc3d537444
|
[
"MIT"
] | 6
|
2018-03-06T10:16:36.000Z
|
2021-12-05T12:43:10.000Z
|
ibsng/handler/stat/get_user_queue_stats.py
|
ParspooyeshFanavar/pyibsng
|
d48bcf4f25e3f23461528bf0ff8870cc3d537444
|
[
"MIT"
] | 3
|
2018-03-06T10:27:08.000Z
|
2022-01-02T15:21:27.000Z
|
ibsng/handler/stat/get_user_queue_stats.py
|
ParspooyeshFanavar/pyibsng
|
d48bcf4f25e3f23461528bf0ff8870cc3d537444
|
[
"MIT"
] | 3
|
2018-01-06T16:28:31.000Z
|
2018-09-17T19:47:19.000Z
|
"""Get user queue stats API method."""
from ibsng.handler.handler import Handler
class getUserQueueStats(Handler):
"""Get user queue stats method class."""
pass
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0
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54db02a38363e2aaab17bad4a8d4d3e8e482cf69
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py
|
Python
|
lib/output.py
|
1modm/CCToolkit
|
65cfc518c7ed2d54883ef452303a0f1ea15275b7
|
[
"BSD-3-Clause"
] | 2
|
2020-01-09T18:03:32.000Z
|
2021-11-06T18:23:36.000Z
|
lib/output.py
|
1modm/CCToolkit
|
65cfc518c7ed2d54883ef452303a0f1ea15275b7
|
[
"BSD-3-Clause"
] | null | null | null |
lib/output.py
|
1modm/CCToolkit
|
65cfc518c7ed2d54883ef452303a0f1ea15275b7
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__license__ = """
CCParser
Author: https://twitter.com/1_mod_m/
Project site: https://github.com/1modm/
Copyright (c) 2016, MM
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of copyright holders nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
''AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL COPYRIGHT HOLDERS OR CONTRIBUTORS
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
"""
#------------------------------------------------------------------------------
# Plugins
#------------------------------------------------------------------------------
from lib.htmloutput import htmlinfo, htmltitle, htmlinfolist, htmlinfoitem, htmlinfolistend,\
htmltitle_subclase, htmltitle_figure, htmlinfotable, htmlinfotr, htmlinfotrend, htmlinforowtd,\
htmlinforowth, htmlinforowtd, htmlinfotableend
from lib.txtoutput import print_result_txt, print_title_txt
#------------------------------------------------------------------------------
# Output html
cc1_html_file = 'CCpart1.html'
cc2_html_file = 'CCpart2.html'
cc3_html_file = 'CCpart3.html'
cem_html_file = 'CEM.html'
# Create the txt results file
cc_txt_file = 'cc.txt'
#------------------------------------------------------------------------------
def results(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
element1 = e1
element2 = e2
element3 = e3
element4 = e4
element5 = e5
if (cc1 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfo(childtext, cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfo(childtext, cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
if (element2 not in ("ac-overview", "ma-introduction", "ma-objectives", "ma-application-notes", "msa-objectives")):
if (element3 not in ("af-overview", "msa-objectives")):
if (element4 not in ("msa-objectives", "msa-input", "ae-evaluator", "msa-application-notes")):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfo(childtext, cc3_html_file, outputdirectoryhtml)
if (cem > 0):
if (element2 not in ("ac-introduction", "ac-overview")):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfo(childtext, cem_html_file, outputdirectoryhtml)
#------------------------------------------------------------------------------
def titles(e1, e2, e3, e4, e5, title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
element1 = e1
element2 = e2
element3 = e3
element4 = e4
element5 = e5
if (cc1 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle(cc1_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cc2 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle(cc2_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cc3 > 0):
if (element2 not in ("ac-overview", "ma-introduction", "ma-objectives", "ma-application-notes", "msa-objectives")):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle(cc3_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cem > 0):
if (element2 not in ("ac-introduction", "ac-overview")):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle(cem_html_file, outputdirectoryhtml, title_name, hrefsection)
#------------------------------------------------------------------------------
def list(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
element1 = e1
element2 = e2
element3 = e3
element4 = e4
element5 = e5
if (cc1 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolist(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolist(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
if (element2 not in ("ac-overview", "ma-introduction", "ma-objectives", "ma-application-notes", "msa-objectives")):
if (element3 not in ("af-overview")):
if (element4 not in ("msa-objectives", "msa-input")):
if (element5 not in ("m-workunit")):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolist(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
if (element2 not in ("ac-introduction", "ac-overview")):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolist(cem_html_file, outputdirectoryhtml)
#------------------------------------------------------------------------------
def listend(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
element1 = e1
element2 = e2
element3 = e3
element4 = e4
element5 = e5
if (cc1 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolistend(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolistend(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
if (element2 not in ("ac-overview", "ma-introduction", "ma-objectives", "ma-application-notes", "msa-objectives")):
if (element3 not in ("af-overview")):
if (element4 not in ("msa-objectives", "msa-input")):
if (element5 not in ("m-workunit")):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolistend(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
if (element2 not in ("ac-introduction", "ac-overview")):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfolistend(cem_html_file, outputdirectoryhtml)
#------------------------------------------------------------------------------
def item(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
element1 = e1
element2 = e2
element3 = e3
element4 = e4
element5 = e5
if (cc1 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfoitem(childtext, cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfoitem(childtext, cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
if (element2 not in ("ac-overview", "ma-introduction", "ma-objectives", "ma-application-notes", "msa-objectives")):
if (element3 not in ("af-overview")):
if (element4 not in ("msa-objectives", "msa-input")):
if (element5 not in ("m-workunit")):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfoitem(childtext, cc3_html_file, outputdirectoryhtml)
if (cem > 0):
if (element2 not in ("ac-introduction", "ac-overview")):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinfoitem(childtext, cem_html_file, outputdirectoryhtml)
#------------------------------------------------------------------------------
def print_results(childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = "None"
e2 = "None"
e3 = "None"
e4 = "None"
e5 = "None"
results(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_aclass(element1, element2, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
results(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_aclass_child4(element1, element2, element3, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
results(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_aclass_child5(element1, element2, element3, element4, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = "None"
results(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_titles(title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = "None"
e2 = "None"
e3 = "None"
e4 = "None"
e5 = "None"
titles(e1, e2, e3, e4, e5, title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_titles_aclass(element1, element2, title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
titles(e1, e2, e3, e4, e5, title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_aclass(element1, element2, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
list(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_aclass_child6(element1, element2, element3, element4, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = "None"
list(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_aclass_child7(element1, element2, element3, element4, element5, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = element5
list(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list(cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = "None"
e2 = "None"
e3 = "None"
e4 = "None"
e5 = "None"
list(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_end_aclass(element1, element2, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
listend(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_end(cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = "None"
e2 = "None"
e3 = "None"
e4 = "None"
e5 = "None"
listend(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_end_aclass_child6(element1, element2, element3, element4, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = "None"
listend(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_list_end_aclass_child7(element1, element2, element3, element4, element5, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = element5
listend(e1, e2, e3, e4, e5, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_item_aclass(element1, element2, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = "None"
e4 = "None"
e5 = "None"
item(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_item_aclass_child6(element1, element2, element3, element4, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = "None"
item(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_item_aclass_child7(element1, element2, element3, element4, element5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = element1
e2 = element2
e3 = element3
e4 = element4
e5 = element5
item(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_item(childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
e1 = "None"
e2 = "None"
e3 = "None"
e4 = "None"
e5 = "None"
item(e1, e2, e3, e4, e5, childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory)
def print_results_table(cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt("None", cc_txt_file, outputdirectorytxt)
htmlinfotable(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotable(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotable(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotable(cem_html_file, outputdirectoryhtml)
def print_results_tr(cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotr(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotr(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotr(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotr(cem_html_file, outputdirectoryhtml)
def print_results_tr_end(cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotrend(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotrend(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotrend(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotrend(cem_html_file, outputdirectoryhtml)
def print_results_rowtd(childtext, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowtd(childtext, cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowtd(childtext, cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowtd(childtext, cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowtd(childtext, cem_html_file, outputdirectoryhtml)
def print_results_rowth(childtext, columnspan, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowth(childtext, columnspan, cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowth(childtext, columnspan, cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowth(childtext, columnspan, cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt(childtext, cc_txt_file, outputdirectorytxt)
htmlinforowth(childtext, columnspan, cem_html_file, outputdirectoryhtml)
def print_results_table_end(cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt')
outputdirectoryhtml = (outputdirectory + '/html')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotableend(cc1_html_file, outputdirectoryhtml)
if (cc2 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotableend(cc2_html_file, outputdirectoryhtml)
if (cc3 > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotableend(cc3_html_file, outputdirectoryhtml)
if (cem > 0):
print_result_txt("", cc_txt_file, outputdirectorytxt)
htmlinfotableend(cem_html_file, outputdirectoryhtml)
def print_titles_subclase(title_name, hrefsection, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt/')
outputdirectoryhtml = (outputdirectory + '/html/')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_subclase(cc1_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cc2 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_subclase(cc2_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cc3 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_subclase(cc3_html_file, outputdirectoryhtml, title_name, hrefsection)
if (cem > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_subclase(cem_html_file, outputdirectoryhtml, title_name, hrefsection)
def print_results_figure(title_name, entity, width, height, cc1file, cc2file, cc3file, cemfile, outputdirectory):
outputdirectorytxt = (outputdirectory + '/txt/')
outputdirectoryhtml = (outputdirectory + '/html/')
cc1 = int(cc1file)
cc2 = int(cc2file)
cc3 = int(cc3file)
cem = int(cemfile)
if (cc1 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_figure(cc1_html_file, outputdirectoryhtml, title_name, entity, width, height)
if (cc2 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_figure(cc2_html_file, outputdirectoryhtml, title_name, entity, width, height)
if (cc3 > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_figure(cc3_html_file, outputdirectoryhtml, title_name, entity, width, height)
if (cem > 0):
print_title_txt(title_name, cc_txt_file, outputdirectorytxt)
htmltitle_figure(cem_html_file, outputdirectoryhtml, title_name, entity, width, height)
| 37.657487
| 151
| 0.67823
| 2,461
| 21,879
| 5.848436
| 0.093864
| 0.031126
| 0.033141
| 0.097547
| 0.883346
| 0.87084
| 0.864656
| 0.855207
| 0.82429
| 0.793163
| 0
| 0.041883
| 0.190274
| 21,879
| 580
| 152
| 37.722414
| 0.770546
| 0.036199
| 0
| 0.728665
| 0
| 0
| 0.125528
| 0.000997
| 0
| 0
| 0
| 0
| 0
| 1
| 0.067834
| false
| 0
| 0.004376
| 0
| 0.07221
| 0.172867
| 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
|
070d89b5a98b684a478c0c748a49b5f348dbeab7
| 2,571
|
py
|
Python
|
bluebottle/exports/tasks.py
|
terrameijar/bluebottle
|
b4f5ba9c4f03e678fdd36091b29240307ea69ffd
|
[
"BSD-3-Clause"
] | 10
|
2015-05-28T18:26:40.000Z
|
2021-09-06T10:07:03.000Z
|
bluebottle/exports/tasks.py
|
terrameijar/bluebottle
|
b4f5ba9c4f03e678fdd36091b29240307ea69ffd
|
[
"BSD-3-Clause"
] | 762
|
2015-01-15T10:00:59.000Z
|
2022-03-31T15:35:14.000Z
|
bluebottle/exports/tasks.py
|
terrameijar/bluebottle
|
b4f5ba9c4f03e678fdd36091b29240307ea69ffd
|
[
"BSD-3-Clause"
] | 9
|
2015-02-20T13:19:30.000Z
|
2022-03-08T14:09:17.000Z
|
import logging
import os
import posixpath
from django.conf import settings
from django.utils import timezone
from celery import shared_task, current_task
from .exporter import get_export_models, get_resource_for_model
logger = logging.getLogger(__name__)
@shared_task
def export(exporter_class, format='xlsx', **kwargs):
"""
Generates the export.
Support for django-tenant-schemas is built in.
"""
tenant = kwargs.pop('tenant', None)
if tenant is not None:
logger.debug('Settings tenant to %s' % tenant)
from django.db import connection
connection.set_tenant(tenant)
export_root = settings.EXPORTDB_EXPORT_ROOT % tenant.schema_name
else:
export_root = settings.EXPORTDB_EXPORT_ROOT
filename = u'export-{timestamp}.{ext}'.format(
timestamp=timezone.now().strftime('%Y-%m-%d_%H%M%S'),
ext=format
)
models = get_export_models()
resources = [get_resource_for_model(model, **kwargs) for model in models]
exporter = exporter_class(resources)
logger.info('Exporting resources: %s' % resources)
databook = exporter.export(task=current_task)
export_to = os.path.join(export_root, filename)
if not os.path.exists(export_root):
os.makedirs(export_root)
with open(export_to, 'wb') as outfile:
outfile.write(getattr(databook, format))
return filename
def plain_export(exporter_class, format='xlsx', **kwargs):
"""
Generates the export.
Support for django-tenant-schemas is built in.
"""
tenant = kwargs.pop('tenant', None)
if tenant is not None:
logger.debug('Settings tenant to %s' % tenant)
from django.db import connection
connection.set_tenant(tenant)
export_root = settings.EXPORTDB_EXPORT_ROOT % tenant.schema_name
else:
export_root = settings.EXPORTDB_EXPORT_ROOT
filename = u'export-{timestamp}.{ext}'.format(
timestamp=timezone.now().strftime('%Y-%m-%d_%H%M%S'),
ext=format
)
models = get_export_models()
resources = [get_resource_for_model(model, **kwargs) for model in models]
exporter = exporter_class(resources)
logger.info('Exporting resources: %s' % resources)
databook = exporter.export()
export_to = os.path.join(export_root, filename)
if not os.path.exists(export_root):
os.makedirs(export_root)
with open(export_to, 'wb') as outfile:
outfile.write(getattr(databook, format))
return posixpath.join(settings.EXPORTDB_EXPORT_ROOT % tenant.schema_name, filename)
| 30.607143
| 87
| 0.692338
| 330
| 2,571
| 5.215152
| 0.236364
| 0.087159
| 0.063916
| 0.075537
| 0.841371
| 0.841371
| 0.841371
| 0.816967
| 0.816967
| 0.816967
| 0
| 0
| 0.200311
| 2,571
| 83
| 88
| 30.975904
| 0.837062
| 0.054065
| 0
| 0.701754
| 0
| 0
| 0.079398
| 0.020059
| 0
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| 0
| 0
| 0
| 1
| 0.035088
| false
| 0
| 0.157895
| 0
| 0.22807
| 0
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| 0
| null | 0
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| 1
| 1
| 1
| 1
| 1
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| 1
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
075dd661cae7283897d4bccf701174dd9a178f16
| 6,407
|
py
|
Python
|
BS4 Source codes/yahoo-finance/yahoo-web-source/app-basics/app.py
|
rabiyulfahimhasim786/beautiful-soup4-basics
|
1b030468524d97b94c5bde6e7469a9f57a2f4a56
|
[
"MIT"
] | null | null | null |
BS4 Source codes/yahoo-finance/yahoo-web-source/app-basics/app.py
|
rabiyulfahimhasim786/beautiful-soup4-basics
|
1b030468524d97b94c5bde6e7469a9f57a2f4a56
|
[
"MIT"
] | null | null | null |
BS4 Source codes/yahoo-finance/yahoo-web-source/app-basics/app.py
|
rabiyulfahimhasim786/beautiful-soup4-basics
|
1b030468524d97b94c5bde6e7469a9f57a2f4a56
|
[
"MIT"
] | null | null | null |
from flask import Flask, request, redirect, render_template, url_for
from matplotlib.pyplot import xlim
import yfinance as yf
import requests
from bs4 import BeautifulSoup
import pandas as pd
import json
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from df2gspread import df2gspread as d2g
app = Flask(__name__)
@app.route('/hello/<name>')
def hello_name(name):
return 'Welcome %s!' % name
@app.route('/info/', methods =["GET", "POST"])
def display_quote():
if request.method == "POST":
# getting input with name = fname in HTML form
x = request.form['text']
symbol = request.args.get('symbol', x)
quote = yf.Ticker(symbol)
return quote.info
#return redirect(url_for("datas", x=x))
else:
return render_template("form.html")
@app.route("/info/<x>", methods =["GET", "POST"])
def datas(x):
#x = request.form['text']
symbol = request.args.get('symbol', x)
quote = yf.Ticker(symbol)
return quote.info
@app.route("/gainers/<url>", methods =["GET", "POST"])
def ygainers(url):
if request.method == "POST":
# getting input with name = fname in HTML form
url = request.form['text']
html = requests.get(url).content
soup = BeautifulSoup(html, 'lxml')
a = soup.find_all('a', attrs={'data-test': 'quoteLink'})
b = soup.find_all('td', attrs={'aria-label': 'Name'})
c = soup.find_all('td', attrs={'aria-label': 'Price (Intraday)'})
d = soup.find_all('td', attrs={'aria-label': 'Change'})
e = soup.find_all('td', attrs={'aria-label': '% Change'})
f = soup.find_all('td', attrs={'aria-label': 'Volume'})
g = soup.find_all('td', attrs={'aria-label': 'Avg Vol (3 month)'})
h = soup.find_all('td', attrs={'aria-label': 'Market Cap'})
i = soup.find_all('td', attrs={'aria-label': 'PE Ratio (TTM)'})
a_ = []
b_ = []
c_ = []
d_ = []
e_ = []
f_ = []
g_ = []
h_ = []
i_ = []
for title in a:
a_.append(title.text.strip())
for title in b:
b_.append(title.text.strip())
for title in c:
c_.append(title.text.strip())
for title in d:
d_.append(title.text.strip())
for title in e:
e_.append(title.text.strip())
for title in f:
f_.append(title.text.strip())
for title in g:
g_.append(title.text.strip())
for title in h:
h_.append(title.text.strip())
for title in i:
i_.append(title.text.strip())
# dataframe Name and Age columns
df = pd.DataFrame({'Symbol': a_, 'Name': b_, 'Price': c_, 'Change': d_, 'Change %': e_, 'Volume': f_, 'Avg volume': g_, 'Market cap': h_, 'Ration': i_,})
scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive','https://www.googleapis.com/auth/drive.file','https://www.googleapis.com/auth/spreadsheets']
creds = ServiceAccountCredentials.from_json_keyfile_name('service_account.json', scope)
client = gspread.authorize(creds)
spreadsheet_key = '1NbMXC3uHlK0sxcHCzA7WLjh1gYnEl3D8U3N6VdJ0pYQ'
wks_name = 'Sheet4'
cell_of_start_df = 'A2'
d2g.upload(df,
spreadsheet_key,
wks_name,
credentials=creds,
col_names=False,
row_names=False,
start_cell = cell_of_start_df,
clean=False)
return 'ok'
else:
return render_template("gainers.html")
@app.route("/ganiers-file/<url>", methods =["GET", "POST"])
def gainersdatas(url):
if request.method == "POST":
url = request.form['text']
# getting input with name = fname in HTML form
html = requests.get(url).content
soup = BeautifulSoup(html, 'lxml')
a = soup.find_all('a', attrs={'data-test': 'quoteLink'})
b = soup.find_all('td', attrs={'aria-label': 'Name'})
c = soup.find_all('td', attrs={'aria-label': 'Price (Intraday)'})
d = soup.find_all('td', attrs={'aria-label': 'Change'})
e = soup.find_all('td', attrs={'aria-label': '% Change'})
f = soup.find_all('td', attrs={'aria-label': 'Volume'})
g = soup.find_all('td', attrs={'aria-label': 'Avg Vol (3 month)'})
h = soup.find_all('td', attrs={'aria-label': 'Market Cap'})
i = soup.find_all('td', attrs={'aria-label': 'PE Ratio (TTM)'})
a_ = []
b_ = []
c_ = []
d_ = []
e_ = []
f_ = []
g_ = []
h_ = []
i_ = []
for title in a:
a_.append(title.text.strip())
for title in b:
b_.append(title.text.strip())
for title in c:
c_.append(title.text.strip())
for title in d:
d_.append(title.text.strip())
for title in e:
e_.append(title.text.strip())
for title in f:
f_.append(title.text.strip())
for title in g:
g_.append(title.text.strip())
for title in h:
h_.append(title.text.strip())
for title in i:
i_.append(title.text.strip())
# dataframe Name and Age columns
df = pd.DataFrame({'Symbol': a_, 'Name': b_, 'Price': c_, 'Change': d_, 'Change %': e_, 'Volume': f_, 'Avg volume': g_, 'Market cap': h_, 'Ration': i_,})
scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive','https://www.googleapis.com/auth/drive.file','https://www.googleapis.com/auth/spreadsheets']
creds = ServiceAccountCredentials.from_json_keyfile_name('service_account.json', scope)
client = gspread.authorize(creds)
spreadsheet_key = '1NbMXC3uHlK0sxcHCzA7WLjh1gYnEl3D8U3N6VdJ0pYQ'
wks_name = 'Sheet4'
cell_of_start_df = 'A2'
d2g.upload(df,
spreadsheet_key,
wks_name,
credentials=creds,
col_names=False,
row_names=False,
start_cell = cell_of_start_df,
clean=False)
return 'ok'
else:
return render_template("gainers.html")
if __name__ == '__main__':
app.run(debug = True)
| 36.821839
| 190
| 0.558296
| 790
| 6,407
| 4.367089
| 0.178481
| 0.041739
| 0.057391
| 0.104348
| 0.828406
| 0.809565
| 0.809565
| 0.809565
| 0.79942
| 0.79942
| 0
| 0.007218
| 0.286405
| 6,407
| 174
| 191
| 36.821839
| 0.747375
| 0.040425
| 0
| 0.826667
| 0
| 0
| 0.195543
| 0.014745
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033333
| false
| 0
| 0.066667
| 0.006667
| 0.153333
| 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
|
4adb251f27efc731964f97b2df71d1e5cac36cc7
| 43
|
py
|
Python
|
tests/collagen/__init__.py
|
newskylabs/newskylabs-collagen
|
3e2e331605745e6709f57dce8730ceb9ceaa002c
|
[
"Apache-2.0"
] | null | null | null |
tests/collagen/__init__.py
|
newskylabs/newskylabs-collagen
|
3e2e331605745e6709f57dce8730ceb9ceaa002c
|
[
"Apache-2.0"
] | null | null | null |
tests/collagen/__init__.py
|
newskylabs/newskylabs-collagen
|
3e2e331605745e6709f57dce8730ceb9ceaa002c
|
[
"Apache-2.0"
] | null | null | null |
from . import datasets
from . import utils
| 14.333333
| 22
| 0.767442
| 6
| 43
| 5.5
| 0.666667
| 0.606061
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.186047
| 43
| 2
| 23
| 21.5
| 0.942857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4afc786bc4cc731cb0621fab424c437b2d964190
| 8,347
|
py
|
Python
|
opensfm/test/test_reconstruction_alignment.py
|
vik748/OpenSfM
|
bd949246e3e0d6d3a707a08224038034d27e3ee8
|
[
"BSD-2-Clause"
] | 1
|
2020-10-04T06:49:36.000Z
|
2020-10-04T06:49:36.000Z
|
opensfm/test/test_reconstruction_alignment.py
|
silwalanish/OpenSfM
|
a1b611a8c8056791f5e0e250ebd9f736fb9eda86
|
[
"BSD-2-Clause"
] | 3
|
2021-06-08T22:22:02.000Z
|
2022-03-12T00:47:52.000Z
|
opensfm/test/test_reconstruction_alignment.py
|
silwalanish/OpenSfM
|
a1b611a8c8056791f5e0e250ebd9f736fb9eda86
|
[
"BSD-2-Clause"
] | null | null | null |
import numpy as np
from opensfm import pygeometry
from opensfm import pybundle
def get_shot_origin(shot):
"""Compute the origin of a shot."""
pose = pygeometry.Pose([shot.rx, shot.ry, shot.rz], [shot.tx, shot.ty, shot.tz])
return pose.get_origin()
def get_reconstruction_origin(r):
"""Compute the origin of a reconstruction."""
s = r.scale
pose = pygeometry.Pose([r.rx, r.ry, r.rz], [r.tx / s, r.ty / s, r.tz / s])
return pose.get_origin()
def test_single_shot():
"""Single shot test."""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('1', 0.5, 0, 0, 0, 0, 0, False)
ra.add_absolute_position_constraint('1', 1, 0, 0, 1)
ra.run()
s1 = ra.get_shot('1')
assert np.allclose(get_shot_origin(s1), [1, 0, 0], atol=1e-6)
def test_singleton_reconstruction():
"""Single shot in a single reconstruction."""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('1', 0, 0, 0, 0, 0, 0, False)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 4, False)
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '1', 0, 0, 0, -1, 0, 0))
ra.add_absolute_position_constraint('1', 1, 0, 0, 1)
ra.run()
s1 = ra.get_shot('1')
assert np.allclose(get_shot_origin(s1), [1, 0, 0], atol=1e-6)
def test_pair():
"""Simple single reconstruction two shots test."""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('1', 0, 0, 0, 0, 0, 0, False)
ra.add_shot('2', 0, 0, 0, 0, 0, 0, False)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 4, False)
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '1', 0, 0, 0, 0, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '2', 0, 0, 0, -1, 0, 0))
ra.add_absolute_position_constraint('1', 1, 0, 0, 1)
ra.add_absolute_position_constraint('2', 3, 0, 0, 1)
ra.run()
s1 = ra.get_shot('1')
s2 = ra.get_shot('2')
rec_a = ra.get_reconstruction('a')
assert np.allclose(get_shot_origin(s1), [1, 0, 0], atol=1e-6)
assert np.allclose(get_shot_origin(s2), [3, 0, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_a), [1, 0, 0], atol=1e-6)
assert np.allclose(rec_a.scale, 0.5)
def test_two_shots_one_fixed():
"""Two shot, one reconstruction. One shot is fixed"""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('1', 0, 0, 0, -1, 0, 0, True)
ra.add_shot('2', 0, 0, 0, 0, 0, 0, False)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '1', 0, 0, 0, 0, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '2', 0, 0, 0, -1, 0, 0))
# Next line should be ignored because shot 1 is fixed
ra.add_absolute_position_constraint('1', 100, 0, 0, 1)
ra.add_absolute_position_constraint('2', 3, 0, 0, 1)
ra.run()
s1 = ra.get_shot('1')
s2 = ra.get_shot('2')
rec_a = ra.get_reconstruction('a')
assert np.allclose(get_shot_origin(s1), [1, 0, 0], atol=1e-6)
assert np.allclose(get_shot_origin(s2), [3, 0, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_a), [1, 0, 0], atol=1e-6)
assert np.allclose(rec_a.scale, 0.5)
def test_two_reconstructions_soft_alignment():
"""Two reconstructions"""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('1', 0, 0, 0, 0, 0, 0, False)
ra.add_shot('2', 0, 0, 0, 0, 0, 0, False)
ra.add_shot('3', 0, 0, 0, 0, 0, 0, False)
ra.add_shot('4', 0, 0, 0, 0, 0, 0, False)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '1', 0, 0, 0, 0, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '2', 0, 0, 0, -1, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('a', '3', 0, 0, 0, -2, 0, 0))
ra.add_reconstruction('b', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('b', '2', 0, 0, 0, 0, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('b', '3', 0, 0, 0, -1, 0, 0))
ra.add_relative_motion_constraint(
pybundle.RARelativeMotionConstraint('b', '4', 0, 0, 0, -2, 0, 0))
ra.add_absolute_position_constraint('1', 1, 0, 0, 1)
ra.add_absolute_position_constraint('2', 2, 0, 0, 1)
ra.run()
s1 = ra.get_shot('1')
s2 = ra.get_shot('2')
s3 = ra.get_shot('3')
s4 = ra.get_shot('4')
rec_a = ra.get_reconstruction('a')
rec_b = ra.get_reconstruction('b')
assert np.allclose(get_shot_origin(s1), [1, 0, 0], atol=1e-6)
assert np.allclose(get_shot_origin(s2), [2, 0, 0], atol=1e-6)
assert np.allclose(get_shot_origin(s3), [3, 0, 0], atol=1e-6)
assert np.allclose(get_shot_origin(s4), [4, 0, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_a), [1, 0, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_b), [2, 0, 0], atol=1e-6)
assert np.allclose(rec_a.scale, 1)
assert np.allclose(rec_b.scale, 1)
def test_two_reconstructions_rigid_alignment():
"""Two reconstructions"""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('a_1', 0, 0, 0, -1, 0, 0, True)
ra.add_shot('a_2', 0, 0, 0, -2, 0, 0, True)
ra.add_shot('a_3', 0, 0, 0, 0, 0, 0, True)
ra.add_shot('a_4', 0, 0, 0, 0, -1, 0, True)
ra.add_shot('a_5', 0, 0, 0, -1, 0, 0, True)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_shot('b_3', 0, 0, 0, -1, -1, 0, True)
ra.add_shot('b_4', 0, 0, 0, -1, -2, 0, True)
ra.add_shot('b_5', 0, 0, 0, -2, -1, 0, True)
ra.add_shot('b_6', 0, 0, 0, -4, 0, 0, True)
ra.add_shot('b_7', 0, 0, 0, -5, 0, 0, True)
ra.add_reconstruction('b', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_relative_absolute_position_constraint('a', 'a_3', 5, 5, 0, 1)
ra.add_relative_absolute_position_constraint('a', 'a_4', 5, 6, 0, 1)
ra.add_relative_absolute_position_constraint('b', 'b_3', 5, 5, 0, 1)
ra.add_relative_absolute_position_constraint('b', 'b_4', 5, 6, 0, 1)
ra.run()
rec_a = ra.get_reconstruction('a')
rec_b = ra.get_reconstruction('b')
assert np.allclose(get_reconstruction_origin(rec_a), [5, 5, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_b), [4, 4, 0], atol=1e-6)
assert np.allclose(rec_a.scale, 1)
assert np.allclose(rec_b.scale, 1)
def test_two_reconstructions_common_camera():
"""Two reconstructions"""
ra = pybundle.ReconstructionAlignment()
ra.add_shot('a_1', 0, 0, 0, -1, 0, 0, True)
ra.add_shot('a_2', 0, 0, 0, -2, 0, 0, True)
ra.add_shot('a_3', 0, 0, 0, 0, 0, 0, True)
ra.add_shot('a_4', 0, 0, 0, 0, -1, 0, True)
ra.add_shot('a_5', 0, 0, 0, -1, 0, 0, True)
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 1, True)
ra.add_shot('b_3', 0, 0, 0, -1, -1, 0, True)
ra.add_shot('b_4', 0, 0, 0, -1, -2, 0, True)
ra.add_shot('b_5', 0, 0, 0, -2, -1, 0, True)
ra.add_shot('b_6', 0, 0, 0, -4, 0, 0, True)
ra.add_shot('b_7', 0, 0, 0, -5, 0, 0, True)
ra.add_reconstruction('b', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_common_camera_constraint('a', 'a_3', 'b', 'b_3', 1, 1)
ra.add_common_camera_constraint('a', 'a_4', 'b', 'b_4', 1, 1)
ra.add_common_camera_constraint('a', 'a_5', 'b', 'b_5', 1, 1)
ra.run()
rec_a = ra.get_reconstruction('a')
rec_b = ra.get_reconstruction('b')
assert np.allclose(get_reconstruction_origin(rec_a), [0, 0, 0], atol=1e-6)
assert np.allclose(get_reconstruction_origin(rec_b), [-1, -1, 0], atol=1e-6)
assert np.allclose(rec_a.scale, 1)
assert np.allclose(rec_b.scale, 1)
def test_common_points():
"""Two reconstructions, two common points"""
ra = pybundle.ReconstructionAlignment()
ra.add_reconstruction('a', 0, 0, 0, 0, 0, 0, 1, True)
ra.add_reconstruction('b', 0, 0, 0, 0, 0, 0, 1, False)
ra.add_common_point_constraint('a', 0, 0, 0, 'b', -1, 0, 0, 1.0)
ra.add_common_point_constraint('a', 1, 0, 0, 'b', 0, 0, 0, 1.0)
ra.run()
rec_b = ra.get_reconstruction('b')
o_b = get_reconstruction_origin(rec_b)
assert np.allclose(o_b, [1, 0, 0], atol=1e-6)
| 38.643519
| 84
| 0.622978
| 1,472
| 8,347
| 3.347147
| 0.057745
| 0.094175
| 0.081591
| 0.064136
| 0.876801
| 0.845139
| 0.821392
| 0.817333
| 0.806982
| 0.776132
| 0
| 0.087764
| 0.193243
| 8,347
| 215
| 85
| 38.823256
| 0.643897
| 0.044567
| 0
| 0.701863
| 0
| 0
| 0.021961
| 0
| 0
| 0
| 0
| 0
| 0.167702
| 1
| 0.062112
| false
| 0
| 0.018634
| 0
| 0.093168
| 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
|
ab0318eb07992d87053496a7262d0a0db7ecaf91
| 3,983
|
py
|
Python
|
Tests/test_dis.py
|
amaeckelberghe/Pyjion
|
cdf8fbd3f3808d398a71fca085420f71c7dff106
|
[
"MIT"
] | null | null | null |
Tests/test_dis.py
|
amaeckelberghe/Pyjion
|
cdf8fbd3f3808d398a71fca085420f71c7dff106
|
[
"MIT"
] | null | null | null |
Tests/test_dis.py
|
amaeckelberghe/Pyjion
|
cdf8fbd3f3808d398a71fca085420f71c7dff106
|
[
"MIT"
] | null | null | null |
from pyjion.dis import print_il, dis
import pyjion
import unittest
import io
import contextlib
class DisassemblerModuleTestCase(unittest.TestCase):
def setUp(self) -> None:
pyjion.enable()
def tearDown(self) -> None:
pyjion.disable()
def test_fat(self):
def test_f():
a = 1
b = 2
c = 3
d = 4
return a+b+c+d
self.assertTrue(test_f() == 10)
f = io.StringIO()
with contextlib.redirect_stdout(f):
dis(test_f)
self.assertIn("ldarg.1", f.getvalue())
def test_fat_static(self):
test_method = bytearray(b'\x03 h\x00\x00\x00\xd3X\n\x03(A\x00\x00\x00\x16\r!0\x19Rc\xd1\x7f\x00\x00\xd3% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x18T\x13\n\x03 h\x01\x00\x00\xd3XM\x03 h\x01\x00\x00\xd3X\x11\n\xdf(\x10\x00\x00\x00!P\x19Rc\xd1\x7f\x00\x00\xd3% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1cT\x13\n\x03 p\x01\x00\x00\xd3XM\x03 p\x01\x00\x00\xd3X\x11\n\xdf(\x10\x00\x00\x00!p\x19Rc\xd1\x7f\x00\x00\xd3% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\nT\x13\n\x03 x\x01\x00\x00\xd3XM\x03 x\x01\x00\x00\xd3X\x11\n\xdf(\x10\x00\x00\x00!\x90\x19Rc\xd1\x7f\x00\x00\xd3% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\x0eT\x13\n\x03 \x80\x01\x00\x00\xd3XM\x03 \x80\x01\x00\x00\xd3X\x11\n\xdf(\x10\x00\x00\x00\x06\x1f\x10T\x03 h\x01\x00\x00\xd3XM%\x0c\x16\xd3@\x1a\x00\x00\x00!0 nc\xd1\x7f\x00\x00\xd3(:\x00\x00\x00\x03(8\x00\x00\x008G\x01\x00\x00\x08% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\x12T\x03 p\x01\x00\x00\xd3XM%\x0c\x16\xd3@\x1c\x00\x00\x00!\xf0\xbeac\xd1\x7f\x00\x00\xd3(:\x00\x00\x00\x03(8\x00\x00\x00\x13\x0b8\x07\x01\x00\x00\x08% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\x14T(\x00\x00\x00\x00%\x0c\x16\xd3@\x0b\x00\x00\x00\x03(8\x00\x00\x008\xdc\x00\x00\x00\x08\x06\x1f\x16T\x03 x\x01\x00\x00\xd3XM%\x0c\x16\xd3@\x1c\x00\x00\x00!\xb0\x8c]c\xd1\x7f\x00\x00\xd3(:\x00\x00\x00\x03(8\x00\x00\x00\x13\x0b8\xa9\x00\x00\x00\x08% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\x18T(\x00\x00\x00\x00%\x0c\x16\xd3@\x0b\x00\x00\x00\x03(8\x00\x00\x008~\x00\x00\x00\x08\x06\x1f\x1aT\x03 \x80\x01\x00\x00\xd3XM%\x0c\x16\xd3@\x1c\x00\x00\x00!\xb0\x8b]c\xd1\x7f\x00\x00\xd3(:\x00\x00\x00\x03(8\x00\x00\x00\x13\x0b8K\x00\x00\x00\x08% \x00\x00\x00\x00\xd3X%J\x17XT\x06\x1f\x1cT(\x00\x00\x00\x00%\x0c\x16\xd3@\x0b\x00\x00\x00\x03(8\x00\x00\x008 \x00\x00\x00\x08\x06\x1f\x1eT\x0b8\x1c\x00\x00\x00\t\x16>\t\x00\x00\x00&&&\t\x19\xda\r+\xf08\x00\x00\x00\x00\x16\xd38\x01\x00\x00\x00\x07\x03(B\x00\x00\x00*')
f = io.StringIO()
with contextlib.redirect_stdout(f):
print_il(test_method)
self.assertIn("ldarg.1", f.getvalue())
def test_thin(self):
test_method = bytearray(b'\x03 h\x00\x00\x00\xd3X\n\x03(A\x00\x00\x00\x16\r\x06 '
b'\x00\x00\x00\x00\xd3T\x03!\xb0\xc6V)\x91\x7f\x00\x00\xd3('
b'\x00\x00\x03\x00%\x0c\x16\xd3@\x0b\x00\x00\x00\x03('
b'8\x00\x00\x008\x91\x00\x00\x00\x08\x06 '
b'\x02\x00\x00\x00\xd3T!\xf0\xc3\x13*\x91\x7f\x00\x00\xd3% '
b'\x00\x00\x00\x00\xd3X%J\x17XT\x06 \x04\x00\x00\x00\xd3T('
b'\x01\x00\x01\x00%\x0c\x16\xd3@\x0b\x00\x00\x00\x03('
b'8\x00\x00\x008P\x00\x00\x00\x08\x06 \x06\x00\x00\x00\xd3T(\x10\x00\x00\x00\x06 '
b'\x08\x00\x00\x00\xd3T!\xe0\x1e\xda\x02\x01\x00\x00\x00\xd3% '
b'\x00\x00\x00\x00\xd3X%J\x17XT\x06 '
b'\n\x00\x00\x00\xd3T\x0b\xdd\x1c\x00\x00\x00\t\x16>\t\x00\x00\x00&&&\x19\tY\r+\xf08'
b'\x00\x00\x00\x00\x16\xd38\x01\x00\x00\x00\x07\x03(B\x00\x00\x00*')
f = io.StringIO()
with contextlib.redirect_stdout(f):
print_il(test_method)
self.assertIn("ldarg.1", f.getvalue())
if __name__ == "__main__":
unittest.main()
| 68.672414
| 1,866
| 0.611599
| 755
| 3,983
| 3.193377
| 0.156291
| 0.42555
| 0.291165
| 0.079635
| 0.755703
| 0.722522
| 0.676898
| 0.667358
| 0.622148
| 0.622148
| 0
| 0.304949
| 0.183279
| 3,983
| 57
| 1,867
| 69.877193
| 0.436213
| 0
| 0
| 0.234043
| 0
| 0.234043
| 0.638463
| 0.62114
| 0
| 0
| 0
| 0
| 0.085106
| 1
| 0.12766
| false
| 0
| 0.106383
| 0
| 0.276596
| 0.06383
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
ab3eab49358a14dc8881a213b3bd84eb80939c72
| 22,612
|
py
|
Python
|
tests/test_sc.py
|
herrmannlab/highdicom
|
95f39dd722ae6d357af3f942e2130d0ff4d68bfc
|
[
"MIT"
] | 2
|
2022-02-23T02:09:40.000Z
|
2022-03-14T18:46:51.000Z
|
tests/test_sc.py
|
herrmannlab/highdicom
|
95f39dd722ae6d357af3f942e2130d0ff4d68bfc
|
[
"MIT"
] | 9
|
2022-02-19T13:55:14.000Z
|
2022-03-31T13:16:47.000Z
|
tests/test_sc.py
|
herrmannlab/highdicom
|
95f39dd722ae6d357af3f942e2130d0ff4d68bfc
|
[
"MIT"
] | null | null | null |
from pathlib import Path
from io import BytesIO
import unittest
import numpy as np
import pytest
from pydicom.encaps import generate_pixel_data_frame
from pydicom.filereader import dcmread
from pydicom.uid import (
RLELossless,
JPEGBaseline8Bit,
JPEG2000Lossless,
JPEGLSLossless,
)
from pydicom.valuerep import DA, TM
from highdicom import SpecimenDescription
from highdicom.sc import SCImage
from highdicom import UID
from highdicom.frame import decode_frame
class TestSCImage(unittest.TestCase):
def setUp(self):
super().setUp()
self._rgb_pixel_array = np.zeros((10, 10, 3), dtype=np.uint8)
self._monochrome_pixel_array = np.zeros((10, 10), dtype=np.uint16)
self._study_instance_uid = UID()
self._series_instance_uid = UID()
self._sop_instance_uid = UID()
self._series_number = int(np.random.choice(100)) + 1
self._instance_number = int(np.random.choice(100)) + 1
self._manufacturer = 'ABC'
self._laterality = 'L'
self._pixel_spacing = [0.5, 0.5]
self._patient_orientation = ['A', 'R']
self._container_identifier = str(np.random.choice(100))
self._specimen_identifier = str(np.random.choice(100))
self._specimen_uid = UID()
file_path = Path(__file__)
data_dir = file_path.parent.parent.joinpath('data')
self._ref_dataset = dcmread(
str(data_dir.joinpath('test_files', 'ct_image.dcm'))
)
@staticmethod
def get_array_after_writing(instance):
# Write DICOM object to buffer, read it again and reconstruct the mask
with BytesIO() as fp:
instance.save_as(fp)
fp.seek(0)
ds = dcmread(fp)
decoded_frame_arrays = [
decode_frame(
value,
transfer_syntax_uid=ds.file_meta.TransferSyntaxUID,
rows=ds.Rows,
columns=ds.Columns,
samples_per_pixel=ds.SamplesPerPixel,
bits_allocated=ds.BitsAllocated,
bits_stored=ds.BitsStored,
photometric_interpretation=ds.PhotometricInterpretation,
pixel_representation=ds.PixelRepresentation,
planar_configuration=getattr(ds, 'PlanarConfiguration', None)
)
for value in generate_pixel_data_frame(instance.PixelData)
]
if len(decoded_frame_arrays) > 1:
return np.stack(decoded_frame_arrays)
return decoded_frame_arrays[0]
def test_construct_rgb_patient(self):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'PATIENT'
instance = SCImage(
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
laterality=self._laterality,
pixel_spacing=self._pixel_spacing,
)
assert instance.BitsAllocated == bits_allocated
assert instance.SamplesPerPixel == 3
assert instance.PlanarConfiguration == 0
assert instance.PhotometricInterpretation == photometric_interpretation
assert instance.StudyInstanceUID == self._study_instance_uid
assert instance.SeriesInstanceUID == self._series_instance_uid
assert instance.SOPInstanceUID == self._sop_instance_uid
assert instance.SeriesNumber == self._series_number
assert instance.InstanceNumber == self._instance_number
assert instance.Manufacturer == self._manufacturer
assert instance.Laterality == self._laterality
assert instance.PatientOrientation == self._patient_orientation
assert instance.AccessionNumber is None
assert instance.PatientName is None
assert instance.PatientSex is None
assert instance.StudyTime is None
assert instance.StudyTime is None
assert instance.PixelSpacing == [0.5, 0.5]
assert instance.PixelData == self._rgb_pixel_array.tobytes()
with pytest.raises(AttributeError):
instance.ContainerIdentifier
instance.SpecimenDescriptionSequence
instance.ContainerTypeCodeSequence
instance.IssuerOfTheContainerIdentifierSequence
def test_construct_rgb_patient_missing_parameter(self):
with pytest.raises(TypeError):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'PATIENT'
SCImage(
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
)
def test_construct_rgb_slide_single_specimen(self):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'SLIDE'
specimen_description = SpecimenDescription(
specimen_id=self._specimen_identifier,
specimen_uid=self._specimen_uid
)
instance = SCImage(
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
container_identifier=self._container_identifier,
specimen_descriptions=[specimen_description]
)
assert instance.BitsAllocated == bits_allocated
assert instance.SamplesPerPixel == 3
assert instance.PlanarConfiguration == 0
assert instance.PhotometricInterpretation == photometric_interpretation
assert instance.StudyInstanceUID == self._study_instance_uid
assert instance.SeriesInstanceUID == self._series_instance_uid
assert instance.SOPInstanceUID == self._sop_instance_uid
assert instance.SeriesNumber == self._series_number
assert instance.InstanceNumber == self._instance_number
assert instance.Manufacturer == self._manufacturer
assert instance.ContainerIdentifier == self._container_identifier
assert len(instance.ContainerTypeCodeSequence) == 1
assert len(instance.IssuerOfTheContainerIdentifierSequence) == 0
assert len(instance.SpecimenDescriptionSequence) == 1
specimen_item = instance.SpecimenDescriptionSequence[0]
assert specimen_item.SpecimenIdentifier == self._specimen_identifier
assert specimen_item.SpecimenUID == self._specimen_uid
assert instance.AccessionNumber is None
assert instance.PatientName is None
assert instance.PatientSex is None
assert instance.StudyTime is None
assert instance.StudyTime is None
assert instance.PixelData == self._rgb_pixel_array.tobytes()
with pytest.raises(AttributeError):
instance.Laterality
instance.PatientOrientation
def test_construct_rgb_slide_single_specimen_missing_parameter(self):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'SLIDE'
specimen_description = SpecimenDescription(
specimen_id=self._specimen_identifier,
specimen_uid=self._specimen_uid
)
with pytest.raises(TypeError):
SCImage(
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
specimen_descriptions=[specimen_description]
)
def test_construct_rgb_slide_single_specimen_missing_parameter_1(self):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'SLIDE'
with pytest.raises(TypeError):
SCImage(
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
container_identifier=self._container_identifier,
)
def test_construct_monochrome_patient(self):
bits_allocated = 12
photometric_interpretation = 'MONOCHROME2'
coordinate_system = 'PATIENT'
instance = SCImage(
pixel_array=self._monochrome_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation
)
assert instance.BitsAllocated == bits_allocated
assert instance.SamplesPerPixel == 1
assert instance.PhotometricInterpretation == photometric_interpretation
assert instance.StudyInstanceUID == self._study_instance_uid
assert instance.SeriesInstanceUID == self._series_instance_uid
assert instance.SOPInstanceUID == self._sop_instance_uid
assert instance.SeriesNumber == self._series_number
assert instance.InstanceNumber == self._instance_number
assert instance.Manufacturer == self._manufacturer
assert instance.PatientOrientation == self._patient_orientation
assert instance.AccessionNumber is None
assert instance.PatientName is None
assert instance.PatientSex is None
assert instance.StudyTime is None
assert instance.StudyDate is None
assert instance.PixelData == self._monochrome_pixel_array.tobytes()
with pytest.raises(AttributeError):
instance.ContainerIdentifier
instance.SpecimenDescriptionSequence
instance.ContainerTypeCodeSequence
instance.IssuerOfTheContainerIdentifierSequence
def test_monochrome_rle(self):
bits_allocated = 8 # RLE requires multiple of 8 bits
photometric_interpretation = 'MONOCHROME2'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 256, size=(256, 256), dtype=np.uint8)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=RLELossless
)
assert instance.file_meta.TransferSyntaxUID == RLELossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_rgb_rle(self):
bits_allocated = 8 # RLE requires multiple of 8 bits
photometric_interpretation = 'RGB'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 256, size=(256, 256, 3), dtype=np.uint8)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=RLELossless
)
assert instance.file_meta.TransferSyntaxUID == RLELossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_monochrome_jpeg_baseline(self):
bits_allocated = 8
photometric_interpretation = 'MONOCHROME2'
coordinate_system = 'PATIENT'
frame = np.zeros((256, 256), dtype=np.uint8)
frame[25:55, 25:55] = 255
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEGBaseline8Bit
)
assert instance.file_meta.TransferSyntaxUID == JPEGBaseline8Bit
assert np.allclose(
self.get_array_after_writing(instance),
frame,
atol=5 # tolerance for lossy compression
)
def test_rgb_jpeg_baseline(self):
bits_allocated = 8
photometric_interpretation = 'YBR_FULL_422'
coordinate_system = 'PATIENT'
frame = np.zeros((256, 256, 3), dtype=np.uint8)
frame[25:55, 25:55, 0] = 255
frame[35:65, 35:55, 1] = 255
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEGBaseline8Bit
)
assert instance.file_meta.TransferSyntaxUID == JPEGBaseline8Bit
reread_frame = self.get_array_after_writing(instance)
np.testing.assert_allclose(frame, reread_frame, rtol=1.2)
def test_monochrome_jpeg2000(self):
bits_allocated = 8
photometric_interpretation = 'MONOCHROME2'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 256, size=(256, 256), dtype=np.uint8)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEG2000Lossless
)
assert instance.file_meta.TransferSyntaxUID == JPEG2000Lossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_rgb_jpeg2000(self):
bits_allocated = 8
photometric_interpretation = 'YBR_FULL'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 256, size=(256, 256, 3), dtype=np.uint8)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEG2000Lossless
)
assert instance.file_meta.TransferSyntaxUID == JPEG2000Lossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_monochrome_jpegls(self):
bits_allocated = 16
photometric_interpretation = 'MONOCHROME2'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 2**16, size=(256, 256), dtype=np.uint16)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEGLSLossless
)
assert instance.file_meta.TransferSyntaxUID == JPEGLSLossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_rgb_jpegls(self):
bits_allocated = 8
photometric_interpretation = 'YBR_FULL'
coordinate_system = 'PATIENT'
frame = np.random.randint(0, 256, size=(256, 256, 3), dtype=np.uint8)
instance = SCImage(
pixel_array=frame,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
study_instance_uid=self._study_instance_uid,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
transfer_syntax_uid=JPEGLSLossless
)
assert instance.file_meta.TransferSyntaxUID == JPEGLSLossless
assert np.array_equal(
self.get_array_after_writing(instance),
frame
)
def test_construct_rgb_from_ref_dataset(self):
bits_allocated = 8
photometric_interpretation = 'RGB'
coordinate_system = 'PATIENT'
instance = SCImage.from_ref_dataset(
ref_dataset=self._ref_dataset,
pixel_array=self._rgb_pixel_array,
photometric_interpretation=photometric_interpretation,
bits_allocated=bits_allocated,
coordinate_system=coordinate_system,
series_instance_uid=self._series_instance_uid,
sop_instance_uid=self._sop_instance_uid,
series_number=self._series_number,
instance_number=self._instance_number,
manufacturer=self._manufacturer,
patient_orientation=self._patient_orientation,
laterality=self._laterality
)
assert instance.BitsAllocated == bits_allocated
assert instance.SamplesPerPixel == 3
assert instance.PlanarConfiguration == 0
assert instance.PhotometricInterpretation == photometric_interpretation
assert instance.StudyInstanceUID == self._ref_dataset.StudyInstanceUID
assert instance.SeriesInstanceUID == self._series_instance_uid
assert instance.SOPInstanceUID == self._sop_instance_uid
assert instance.SeriesNumber == self._series_number
assert instance.InstanceNumber == self._instance_number
assert instance.Manufacturer == self._manufacturer
assert instance.Laterality == self._laterality
assert instance.PatientOrientation == self._patient_orientation
assert instance.AccessionNumber == self._ref_dataset.AccessionNumber
assert instance.PatientName == self._ref_dataset.PatientName
assert instance.PatientSex == self._ref_dataset.PatientSex
assert instance.StudyTime == TM(self._ref_dataset.StudyTime)
assert instance.StudyDate == DA(self._ref_dataset.StudyDate)
assert instance.StudyID == self._ref_dataset.StudyID
assert instance.PixelData == self._rgb_pixel_array.tobytes()
| 43.401152
| 79
| 0.677782
| 2,222
| 22,612
| 6.512601
| 0.093609
| 0.077534
| 0.045608
| 0.029024
| 0.829245
| 0.818257
| 0.808099
| 0.801811
| 0.76795
| 0.755995
| 0
| 0.013852
| 0.259331
| 22,612
| 520
| 80
| 43.484615
| 0.850191
| 0.007253
| 0
| 0.700624
| 1
| 0
| 0.011318
| 0
| 0
| 0
| 0
| 0
| 0.191268
| 1
| 0.035343
| false
| 0
| 0.027027
| 0
| 0.068607
| 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
|
db779ba72b47ace7a4aba561f4b5f489995d388a
| 300
|
py
|
Python
|
cloudperf/__init__.py
|
bra-fsn/ec2bench
|
2c9b22b89198aa52c85b42f268468bab3f293e49
|
[
"MIT"
] | 6
|
2019-01-18T18:42:18.000Z
|
2022-02-24T21:24:21.000Z
|
cloudperf/__init__.py
|
bra-fsn/ec2bench
|
2c9b22b89198aa52c85b42f268468bab3f293e49
|
[
"MIT"
] | 4
|
2019-10-05T01:11:40.000Z
|
2021-10-06T13:12:57.000Z
|
cloudperf/__init__.py
|
bra-fsn/ec2bench
|
2c9b22b89198aa52c85b42f268468bab3f293e49
|
[
"MIT"
] | 3
|
2019-03-01T22:25:40.000Z
|
2020-06-12T23:51:29.000Z
|
from __future__ import absolute_import
from .core import get_prices, get_performance, get_combined, prices_url, performance_url, terminate_instances
__all__ = ['get_prices', 'get_performance', 'get_combined',
'prices_url', 'performance_url', 'terminate_instances']
__version__ = '0.0.42'
| 42.857143
| 109
| 0.776667
| 37
| 300
| 5.621622
| 0.432432
| 0.086538
| 0.115385
| 0.221154
| 0.721154
| 0.721154
| 0.721154
| 0.721154
| 0.721154
| 0.721154
| 0
| 0.015152
| 0.12
| 300
| 6
| 110
| 50
| 0.772727
| 0
| 0
| 0
| 0
| 0
| 0.29
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 8
|
db82f758d7e5f505141facfe5d220b8a9b3cfa68
| 6,553
|
py
|
Python
|
xlsxwriter/test/drawing/test_drawing_image01.py
|
Rippling/XlsxWriter-1
|
be8d1cb8f8b156cf87bbe5d591f1f5475804be44
|
[
"BSD-2-Clause"
] | null | null | null |
xlsxwriter/test/drawing/test_drawing_image01.py
|
Rippling/XlsxWriter-1
|
be8d1cb8f8b156cf87bbe5d591f1f5475804be44
|
[
"BSD-2-Clause"
] | null | null | null |
xlsxwriter/test/drawing/test_drawing_image01.py
|
Rippling/XlsxWriter-1
|
be8d1cb8f8b156cf87bbe5d591f1f5475804be44
|
[
"BSD-2-Clause"
] | null | null | null |
###############################################################################
#
# Tests for XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright (c), 2013-2021, John McNamara, jmcnamara@cpan.org
#
import unittest
from io import StringIO
from ..helperfunctions import _xml_to_list
from ...drawing import Drawing
class TestAssembleDrawing(unittest.TestCase):
"""
Test assembling a complete Drawing file.
"""
def test_assemble_xml_file(self):
"""Test writing a drawing with no cell data."""
self.maxDiff = None
fh = StringIO()
drawing = Drawing()
drawing._set_filehandle(fh)
dimensions = [2, 1, 0, 0, 3, 6, 533257, 190357, 1219200, 190500, 0, 0]
drawing_object = drawing._add_drawing_object()
drawing_object['type'] = 2
drawing_object['dimensions'] = dimensions
drawing_object['width'] = 1142857
drawing_object['height'] = 1142857
drawing_object['description'] = 'republic.png'
drawing_object['shape'] = None
drawing_object['anchor'] = 2
drawing_object['rel_index'] = 1
drawing_object['url_rel_index'] = 0
drawing_object['tip'] = None
drawing.embedded = 1
drawing._assemble_xml_file()
exp = _xml_to_list("""
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<xdr:wsDr xmlns:xdr="http://schemas.openxmlformats.org/drawingml/2006/spreadsheetDrawing" xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main">
<xdr:twoCellAnchor editAs="oneCell">
<xdr:from>
<xdr:col>2</xdr:col>
<xdr:colOff>0</xdr:colOff>
<xdr:row>1</xdr:row>
<xdr:rowOff>0</xdr:rowOff>
</xdr:from>
<xdr:to>
<xdr:col>3</xdr:col>
<xdr:colOff>533257</xdr:colOff>
<xdr:row>6</xdr:row>
<xdr:rowOff>190357</xdr:rowOff>
</xdr:to>
<xdr:pic>
<xdr:nvPicPr>
<xdr:cNvPr id="2" name="Picture 1" descr="republic.png"/>
<xdr:cNvPicPr>
<a:picLocks noChangeAspect="1"/>
</xdr:cNvPicPr>
</xdr:nvPicPr>
<xdr:blipFill>
<a:blip xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" r:embed="rId1"/>
<a:stretch>
<a:fillRect/>
</a:stretch>
</xdr:blipFill>
<xdr:spPr>
<a:xfrm>
<a:off x="1219200" y="190500"/>
<a:ext cx="1142857" cy="1142857"/>
</a:xfrm>
<a:prstGeom prst="rect">
<a:avLst/>
</a:prstGeom>
</xdr:spPr>
</xdr:pic>
<xdr:clientData/>
</xdr:twoCellAnchor>
</xdr:wsDr>
""")
got = _xml_to_list(fh.getvalue())
self.assertEqual(got, exp)
def test_assemble_xml_file_with_url(self):
"""Test writing a drawing with no cell data."""
self.maxDiff = None
fh = StringIO()
drawing = Drawing()
drawing._set_filehandle(fh)
drawing = Drawing()
drawing._set_filehandle(fh)
dimensions = [2, 1, 0, 0, 3, 6, 533257, 190357, 1219200, 190500, 0, 0]
drawing_object = drawing._add_drawing_object()
drawing_object['type'] = 2
drawing_object['dimensions'] = dimensions
drawing_object['width'] = 1142857
drawing_object['height'] = 1142857
drawing_object['description'] = 'republic.png'
drawing_object['shape'] = None
drawing_object['anchor'] = 2
drawing_object['rel_index'] = 2
drawing_object['url_rel_index'] = 1
drawing_object['tip'] = 'this is a tooltip'
drawing.embedded = 1
drawing._assemble_xml_file()
exp = _xml_to_list("""
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<xdr:wsDr xmlns:xdr="http://schemas.openxmlformats.org/drawingml/2006/spreadsheetDrawing" xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main">
<xdr:twoCellAnchor editAs="oneCell">
<xdr:from>
<xdr:col>2</xdr:col>
<xdr:colOff>0</xdr:colOff>
<xdr:row>1</xdr:row>
<xdr:rowOff>0</xdr:rowOff>
</xdr:from>
<xdr:to>
<xdr:col>3</xdr:col>
<xdr:colOff>533257</xdr:colOff>
<xdr:row>6</xdr:row>
<xdr:rowOff>190357</xdr:rowOff>
</xdr:to>
<xdr:pic>
<xdr:nvPicPr>
<xdr:cNvPr id="2" name="Picture 1" descr="republic.png">
<a:hlinkClick xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" r:id="rId1" tooltip="this is a tooltip"/>
</xdr:cNvPr>
<xdr:cNvPicPr>
<a:picLocks noChangeAspect="1"/>
</xdr:cNvPicPr>
</xdr:nvPicPr>
<xdr:blipFill>
<a:blip xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" r:embed="rId2"/>
<a:stretch>
<a:fillRect/>
</a:stretch>
</xdr:blipFill>
<xdr:spPr>
<a:xfrm>
<a:off x="1219200" y="190500"/>
<a:ext cx="1142857" cy="1142857"/>
</a:xfrm>
<a:prstGeom prst="rect">
<a:avLst/>
</a:prstGeom>
</xdr:spPr>
</xdr:pic>
<xdr:clientData/>
</xdr:twoCellAnchor>
</xdr:wsDr>
""")
got = _xml_to_list(fh.getvalue())
self.assertEqual(got, exp)
| 38.547059
| 170
| 0.462536
| 624
| 6,553
| 4.746795
| 0.221154
| 0.105334
| 0.059082
| 0.066172
| 0.878123
| 0.841999
| 0.841999
| 0.841999
| 0.841999
| 0.841999
| 0
| 0.062627
| 0.40058
| 6,553
| 169
| 171
| 38.775148
| 0.691446
| 0.037387
| 0
| 0.861314
| 0
| 0.036496
| 0.695336
| 0.043731
| 0
| 0
| 0
| 0
| 0.014599
| 1
| 0.014599
| false
| 0
| 0.029197
| 0
| 0.051095
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
db8be45a37e081a649d39f13fec40d44b9b4988e
| 2,203
|
py
|
Python
|
tests/integration/cli/test_test.py
|
gamechanger/dusty
|
dd9778e3a4f0c623209e53e98aa9dc1fe76fc309
|
[
"MIT"
] | 421
|
2015-06-02T16:29:59.000Z
|
2021-06-03T18:44:42.000Z
|
tests/integration/cli/test_test.py
|
gamechanger/dusty
|
dd9778e3a4f0c623209e53e98aa9dc1fe76fc309
|
[
"MIT"
] | 404
|
2015-06-02T20:23:42.000Z
|
2019-08-21T16:59:41.000Z
|
tests/integration/cli/test_test.py
|
gamechanger/dusty
|
dd9778e3a4f0c623209e53e98aa9dc1fe76fc309
|
[
"MIT"
] | 16
|
2015-06-16T17:21:02.000Z
|
2020-03-27T02:27:09.000Z
|
import subprocess
import sys
from ...testcases import DustyIntegrationTestCase
from ...fixtures import busybox_single_app_bundle_fixture
class TestTestCLI(DustyIntegrationTestCase):
def setUp(self):
super(TestTestCLI, self).setUp()
busybox_single_app_bundle_fixture(num_bundles=1)
def test_basic_test_run(self):
result = self.run_command('test --recreate busyboxa test1')
self.assertEqual(self.handler.log_to_client_output.count('TESTS test1 PASSED'), 1)
self.assertEqual(self.handler.log_to_client_output.count('OK'), 1)
self.assertTrue('Running commands to create new image:' in result)
def test_basic_test_args(self):
result = self.run_command('test --recreate busyboxa test3')
self.assertEqual(self.handler.log_to_client_output.count('var\n'), 0)
self.assertEqual(self.handler.log_to_client_output.count('etc\n'), 0)
self.assertEqual(self.handler.log_to_client_output.count('sbin\n'), 0)
self.handler.log_to_client_output = ''
self.run_command('test --recreate busyboxa test3 /')
self.assertEqual(self.handler.log_to_client_output.count('var\n'), 1)
self.assertEqual(self.handler.log_to_client_output.count('etc\n'), 1)
self.assertEqual(self.handler.log_to_client_output.count('sbin\n'), 1)
def test_basic_test_all(self):
result = self.run_command('test --recreate busyboxa all')
self.assertEqual(self.handler.log_to_client_output.count('TESTS PASSED'), 1)
self.assertEqual(self.handler.log_to_client_output.count('OK'), 2)
self.assertTrue('Running commands to create new image:' in result)
def test_basic_test_no_recreate(self):
result = self.run_command('test --recreate busyboxa test1')
self.assertTrue('Running commands to create new image:' in result)
self.handler.log_to_client_output = ''
result = self.run_command('test busyboxa test1')
self.assertFalse('Running commands to create new image:' in result)
self.assertEqual(self.handler.log_to_client_output.count('TESTS test1 PASSED'), 1)
self.assertEqual(self.handler.log_to_client_output.count('OK'), 1)
| 48.955556
| 90
| 0.720835
| 300
| 2,203
| 5.06
| 0.19
| 0.101449
| 0.129117
| 0.147563
| 0.85112
| 0.774704
| 0.740448
| 0.740448
| 0.704875
| 0.676548
| 0
| 0.010875
| 0.165229
| 2,203
| 44
| 91
| 50.068182
| 0.814573
| 0
| 0
| 0.305556
| 0
| 0
| 0.182932
| 0
| 0
| 0
| 0
| 0
| 0.444444
| 1
| 0.138889
| false
| 0.083333
| 0.111111
| 0
| 0.277778
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
dbb9980addda011561e2ee72dd709d8b8262fd2a
| 260,009
|
py
|
Python
|
leetcode/hard/smallest_range/srcs/a_with_q.py
|
BillionsRichard/pycharmWorkspace
|
709e2681fc6d85ff52fb25717215a365f51073aa
|
[
"Apache-2.0"
] | null | null | null |
leetcode/hard/smallest_range/srcs/a_with_q.py
|
BillionsRichard/pycharmWorkspace
|
709e2681fc6d85ff52fb25717215a365f51073aa
|
[
"Apache-2.0"
] | null | null | null |
leetcode/hard/smallest_range/srcs/a_with_q.py
|
BillionsRichard/pycharmWorkspace
|
709e2681fc6d85ff52fb25717215a365f51073aa
|
[
"Apache-2.0"
] | null | null | null |
# encoding: utf-8
"""
@version: v1.0
@author: Richard
@license: Apache Licence
@contact: billions.richard@qq.com
@site:
@software: PyCharm
@time: 2019/9/12 20:37
"""
from pprint import pprint as pp
from operator import itemgetter
from collections import deque
import time
class Solution:
"""
输入:[[4,10,15,24,26], [0,9,12,20], [5,18,22,30]]
输出: [20,24]
"""
def smallestRange(self, nums):
start_time = time.time()
k = len(nums)
print('k-->', k)
k_tagged_merged_list = []
for i in range(k):
row = nums[i]
k_tagged_merged_list.extend([(e, i) for e in row])
k_tagged_merged_list.sort(key=itemgetter(0))
# print(k_tagged_merged_list)
k_dque = deque(maxlen=k)
min_range = None
min_range_len = None
# print('min_range_len', min_range_len)
tot_len = len(k_tagged_merged_list)
# print('tot_len', tot_len)
i = 0
while i < tot_len:
this_tag = k_tagged_merged_list[i][1]
cur_tag_set = {t[1] for t in k_dque}
if not cur_tag_set or this_tag not in cur_tag_set:
k_dque.append(k_tagged_merged_list[i])
else:
k_dque_head_tag = k_dque[0][1]
if k_dque_head_tag == this_tag:
k_dque.popleft()
k_dque.append(k_tagged_merged_list[i])
else:
existing_t = list(filter(lambda t: t[1] == this_tag, k_dque))[0]
k_dque.remove(existing_t)
k_dque.append(k_tagged_merged_list[i])
k_dque_tags = {e[1] for e in k_dque}
# print('len_k_dque-->', len(k_dque))
# print('len_k_dque_tags-->', len(k_dque_tags))
if len(k_dque_tags) == k:
# print('found')
k_range_len = k_dque[-1][0] - k_dque[0][0]
if min_range_len is None or k_range_len < min_range_len:
min_range_len = k_range_len
min_range = k_dque[0][0], k_dque[-1][0]
i += 1
print('Elapsed seconds:', time.time()-start_time)
return min_range
if __name__ == '__main__':
s = Solution()
nums = [[4, 10, 15, 24, 26], [0, 9, 12, 20], [5, 18, 22, 30]]
# nums = [[10], [11]]
# nums = [[11,38,83,
# 84,84,85,88,89,89,92],[28,61,89],[52,77,79,80,81],[21,25,26,26,26,27],[9,83,85,90],[84,85,87],[26,68,70,71],[36,40,41,42,45],[-34,21],[-28,-28,-23,1,13,21,28,37,37,38],[-74,1,2,22,33,35,43,45],[54,96,98,98,99],[43,54,60,65,71,75],[43,46],[50,50,58,67,69],[7,14,15],[78,80,89,89,90],[35,47,63,69,77,92,94]]
# [-74, 1, 2, 22, 33, 35, 43, 45], [54, 96, 98, 98, 99], [43, 54, 60, 65, 71, 75], [43, 46],
# [50, 50, 58, 67, 69], [7, 14, 15], [78, 80, 89, 89, 90], [35, 47, 63, 69, 77, 92, 94]]
nums = 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[-62512,-19463,84187,89388,91368,95524,98987,99085,99230,99809,99978,100000],[18183,83019,98718,99570,99777,99980,100000],[19925,20448,81509,93698,98451,98776,98915,99007,99925,99994,99996,99999,100000],[-96129,93245,95417,98492,99013,99921,99934,99989,99995,100000],[-25468,61948,68372,85478,91239,98906,98988,99653,99915,99957,99998,99999,99999,100000],[36648,65266,95679,98905,99868,99977,99983,99983,99995,99995,99996,99997,100000],[56006,78969,86785,89834,92494,93887,98268,99771,99982,99998,99999,100000],[95387,95790,97307,98168,99868,99995,99995,100000],[-69454,-17042,8172,50983,63432,72854,73012,80848,83723,85916,91759,99779,99913,99944,99994,99999,99999],[65641,95910,97995,98196,98969,99008,99591,99732,99735,99896,99952,99989,99999,100000],[57459,95855,97360,98320,99147,99865,99955,99989,99997,99998,100000],[-81589,-3474,84141,92981,95255,99192,99962,99970,99994,99998,99999,100000],[-23262,92924,95548,96462,99338,99553,99555,99569,99644,99903,99909,99999,99999,100000],[-58466,24432,87898,92795,95701,98143,98163,99182,99351,99746,99811,99943,99955,99978,99997,100000],[-97588,7867,10356,20288,67836,69868,73038,77753,81937,88474,89979,92182,98091,99635,99902,99941,99975,99987,99991,99998,99998,99998,99998,99998,99999,99999,99999,100000],[-96955,41521,84537,89794,96226,97103,97490,99347,99957,99997,100000],[-49247,93963,99006,99428,99964,99992,100000],[46062,48599,95745,98620,98677,99516,99802,99973,99993,100000],[-3786,59724,62870,80033,90471,98836,99395,99574,99682,99724,99909,99963,99979,99999,100000],[-62512,-19463,84187,89388,91368,95524,98987,99085,99230,99809,99978,100000],[18183,83019,98718,99570,99777,99980,100000],[19925,20448,81509,93698,98451,98776,98915,99007,99925,99994,99996,99999,100000],[-96129,93245,95417,98492,99013,99921,99934,99989,99995,100000],[-25468,61948,68372,85478,91239,98906,98988,99653,99915,99957,99998,99999,99999,100000],[36648,65266,95679,98905,99868,99977,99983,99983,99995,99995,99996,99997,100000],[56006,78969,86785,89834,92494,93887,98268,99771,99982,99998,99999,100000]]
min_range = s.smallestRange(nums)
print(min_range)
| 3,058.929412
| 257,052
| 0.803391
| 41,484
| 260,009
| 5.032808
| 0.008196
| 0.070811
| 0.038624
| 0.032187
| 0.99498
| 0.99477
| 0.994386
| 0.994386
| 0.994248
| 0.993931
| 0
| 0.801386
| 0.003415
| 260,009
| 84
| 257,053
| 3,095.345238
| 0.004342
| 0.003669
| 0
| 0.104167
| 0
| 0
| 0.000108
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.020833
| false
| 0
| 0.083333
| 0
| 0.145833
| 0.083333
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
918d821519c1f1373bfc3701b7eba09c2add0e9c
| 11,971
|
py
|
Python
|
tests/test_engine.py
|
benthomasson/ansible-events
|
bd90edb68778f9f5ad82591f46993335fada8ed4
|
[
"Apache-2.0"
] | null | null | null |
tests/test_engine.py
|
benthomasson/ansible-events
|
bd90edb68778f9f5ad82591f46993335fada8ed4
|
[
"Apache-2.0"
] | 17
|
2022-03-07T17:57:07.000Z
|
2022-03-23T18:58:48.000Z
|
tests/test_engine.py
|
benthomasson/ansible-events
|
bd90edb68778f9f5ad82591f46993335fada8ed4
|
[
"Apache-2.0"
] | null | null | null |
from durable.lang import *
import durable.lang
import yaml
import os
import asyncio
import janus
import pytest
from queue import Queue
from pprint import pprint
from ansible_events.rules_parser import parse_rule_sets
from ansible_events.engine import run_rulesets, start_source
from ansible_events.messages import Shutdown
from ansible_events.rule_types import EventSource, EventSourceFilter
from ansible_events.util import load_inventory
HERE = os.path.dirname(os.path.abspath(__file__))
def test_start_source():
os.chdir(HERE)
queue = Queue()
start_source(
EventSource("range", "range", dict(limit=1), [EventSourceFilter('noop', {})]),
["sources"],
dict(limit=1),
queue,
)
assert queue.get() == dict(i=0)
@pytest.fixture
def new_event_loop():
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
return loop
def load_rules(rules_file):
os.chdir(HERE)
with open(rules_file) as f:
data = yaml.safe_load(f.read())
rulesets = parse_rule_sets(data)
pprint(rulesets)
queue = janus.Queue()
ruleset_queues = [(ruleset, queue.async_q) for ruleset in rulesets]
event_log = asyncio.Queue()
return ruleset_queues, queue.sync_q, queue.async_q, event_log
@pytest.mark.asyncio
async def test_run_rulesets(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_rules.yml")
queue.put(dict())
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(dict(i=3))
queue.put(dict(i=4))
queue.put(dict(i=5))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'EmptyEvent', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'Job', '1.0'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.2'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.3'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.4'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '3'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '4'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '5'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '6'
assert event_log.get_nowait()['type'] == 'Shutdown', '7'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_rules_with_assignment(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("rules_with_assignment.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '0'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '1'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'Shutdown', '3'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_rules_with_assignment2(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("rules_with_assignment2.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '0'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '1'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'Shutdown', '3'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_rules_simple(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_simple.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'Job', '1.0'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.2'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.3'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.4'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'Shutdown', '3'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_multiple_hosts(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_rules_multiple_hosts.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(dict(i=3))
queue.put(dict(i=4))
queue.put(dict(i=5))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
load_inventory('inventory1.yml'),
)
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1.1'
assert event_log.get_nowait()['type'] == 'Job', '1.1.0'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.1'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.2'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.3'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.4'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.5'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.6'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.7'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.8'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.9'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.10'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.11'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.12'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1.13'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1.2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1.3'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1.4'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '3'
assert event_log.get_nowait()['type'] == 'Shutdown', '4'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_multiple_hosts2(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_rules_multiple_hosts2.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(dict(i=3))
queue.put(dict(i=4))
queue.put(dict(i=5))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
load_inventory('inventory1.yml'),
)
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '2.5'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '3'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '4'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '5'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '6'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '7'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '8'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '9'
assert event_log.get_nowait()['type'] == 'Shutdown', '10'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_multiple_hosts3(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_rules_multiple_hosts3.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(dict(i=3))
queue.put(dict(i=4))
queue.put(dict(i=5))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
load_inventory('inventory.yml'),
)
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '3'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '4'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '5'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '6'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '7'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '8'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '9'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '10'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '11'
assert event_log.get_nowait()['type'] == 'Shutdown', '12'
assert event_log.empty()
@pytest.mark.asyncio
async def test_filters(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_filters.yml")
queue.put(dict(i=0))
queue.put(dict(i=1))
queue.put(dict(i=2))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'Job', '1.0'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.2'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.3'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.4'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'Shutdown', '3'
assert event_log.empty()
@pytest.mark.asyncio
async def test_run_rulesets_on_hosts(new_event_loop):
ruleset_queues, queue, aqueue, event_log = load_rules("test_host_rules.yml")
queue.put(dict())
queue.put(dict(i=1, meta=dict(hosts='localhost0')))
queue.put(dict(i=2, meta=dict(hosts='localhost0')))
queue.put(dict(i=3, meta=dict(hosts='localhost0')))
queue.put(dict(i=4, meta=dict(hosts='localhost0')))
queue.put(dict(i=5, meta=dict(hosts='localhost0')))
queue.put(Shutdown())
await run_rulesets(
event_log,
ruleset_queues,
dict(),
dict(),
)
assert event_log.get_nowait()['type'] == 'EmptyEvent', '0'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '1'
assert event_log.get_nowait()['type'] == 'Job', '1.0'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.1'
assert event_log.get_nowait()['type'] == 'AnsibleEvent', '1.2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '2'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '3'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '4'
#assert event_log.get_nowait()['type'] == 'MessageNotHandled', '5'
assert event_log.get_nowait()['type'] == 'ProcessedEvent', '6'
assert event_log.get_nowait()['type'] == 'Shutdown', '7'
assert event_log.empty()
| 34.799419
| 91
| 0.652661
| 1,595
| 11,971
| 4.670846
| 0.067712
| 0.136376
| 0.201074
| 0.223624
| 0.865772
| 0.865235
| 0.862148
| 0.845772
| 0.805638
| 0.745906
| 0
| 0.021195
| 0.168407
| 11,971
| 343
| 92
| 34.900875
| 0.727172
| 0.092557
| 0
| 0.642308
| 0
| 0
| 0.16513
| 0.012908
| 0
| 0
| 0
| 0
| 0.35
| 1
| 0.011538
| false
| 0
| 0.053846
| 0
| 0.073077
| 0.007692
| 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
|
919a07e3008dced4f32ea44c5ca26bfef562a71c
| 4,256
|
py
|
Python
|
test_tscribe.py
|
craigmayhew/aws_transcribe_to_docx
|
1aded9a7c0f14b8242991e564aec3275fc9f83f9
|
[
"MIT"
] | null | null | null |
test_tscribe.py
|
craigmayhew/aws_transcribe_to_docx
|
1aded9a7c0f14b8242991e564aec3275fc9f83f9
|
[
"MIT"
] | null | null | null |
test_tscribe.py
|
craigmayhew/aws_transcribe_to_docx
|
1aded9a7c0f14b8242991e564aec3275fc9f83f9
|
[
"MIT"
] | null | null | null |
import tscribe
import os
def test_multiple_speakers():
"""
Test output exists with multiple speaker input
# GIVEN a sample file containing multiple speakers
# WHEN calling tscribe.write(...)
# THEN produce the .docx without errors
"""
# Setup
input_file = "sample_multiple.json"
output_file = "sample_multiple.docx"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file)
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove("chart.png")
def test_multiple_speakers_with_save_as():
"""
Test output exists with multiple speaker input, and save_as defined
# GIVEN a sample file containing multiple speakers, and an output filename
# WHEN calling tscribe.write(...)
# THEN produce the .docx, named correctly, without errors
"""
# Setup
input_file = "sample_multiple.json"
output_file = "test_sample.docx"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file, save_as=output_file)
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove("chart.png")
def test_multiple_speakers_with_save_as_with_tmp_dir():
"""
Test output exists with multiple speaker input, and save_as defined, and tmp_dir defined
# GIVEN a sample file containing multiple speakers, and an output filename, and a writable tmp directory
# WHEN calling tscribe.write(...)
# THEN produce the .docx, with a chart, named correctly, without errors
"""
# Setup
input_file = "sample_multiple.json"
output_file = "test_sample.docx"
tmp_dir = "/tmp/"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file, save_as=output_file, tmp_dir=tmp_dir)
assert os.access(tmp_dir+"chart.png", os.F_OK), "Chart file not found"
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove(tmp_dir+"chart.png")
def test_single_speaker():
"""
Test output exists with single speaker input
# GIVEN a sample file containing single speaker
# WHEN calling tscribe.write(...)
# THEN produce the .docx without errors
"""
# Setup
input_file = "sample_single.json"
output_file = "sample_single.docx"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file)
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove("chart.png")
def test_single_speaker_with_save_as():
"""
Test output exists with single speaker input, and save_as defined
# GIVEN a sample file containing single speaker, and an output filename
# WHEN calling tscribe.write(...)
# THEN produce the .docx, named correctly, without errors
"""
# Setup
input_file = "sample_single.json"
output_file = "test_sample.docx"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file, save_as=output_file)
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove("chart.png")
def test_single_speaker_with_save_as_with_tmp_dir():
"""
Test output exists with single speaker input, and save_as defined, and tmp_dir defined
# GIVEN a sample file containing single speaker, and an output filename, and a writable tmp directory
# WHEN calling tscribe.write(...)
# THEN produce the .docx, with a chart, named correctly, without errors
"""
# Setup
input_file = "sample_single.json"
output_file = "test_sample.docx"
tmp_dir = "/tmp/"
assert os.access(input_file, os.F_OK), "Input file not found"
# Function
tscribe.write(input_file, save_as=output_file, tmp_dir=tmp_dir)
assert os.access(tmp_dir+"chart.png", os.F_OK), "Chart file not found"
assert os.access(output_file, os.F_OK), "Output file not found"
# Teardown
os.remove(output_file)
os.remove(tmp_dir+"chart.png")
| 28.373333
| 108
| 0.694314
| 610
| 4,256
| 4.654098
| 0.085246
| 0.098626
| 0.069038
| 0.038042
| 0.975343
| 0.975343
| 0.968299
| 0.912293
| 0.912293
| 0.912293
| 0
| 0
| 0.207472
| 4,256
| 150
| 109
| 28.373333
| 0.841684
| 0.363957
| 0
| 0.814815
| 0
| 0
| 0.231562
| 0
| 0
| 0
| 0
| 0
| 0.259259
| 1
| 0.111111
| false
| 0
| 0.037037
| 0
| 0.148148
| 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
|
37ce570ea17404c0b92df14d2829ebd67d4d2da6
| 110
|
py
|
Python
|
controllers/charlas.py
|
bkahlerventer/web2congress
|
30463ef05a64b95f9ec8a5575e1f45a99986b607
|
[
"BSD-3-Clause"
] | 3
|
2016-12-29T23:02:35.000Z
|
2021-07-01T01:10:12.000Z
|
controllers/charlas.py
|
reingart/web2conf
|
a5e01d9fc2c25b271db7cee528faef58a46e7106
|
[
"BSD-3-Clause"
] | null | null | null |
controllers/charlas.py
|
reingart/web2conf
|
a5e01d9fc2c25b271db7cee528faef58a46e7106
|
[
"BSD-3-Clause"
] | null | null | null |
# coding: utf8
# try something like
def index(): return plugin_flatpage()
def rfp(): return plugin_flatpage()
| 22
| 37
| 0.745455
| 15
| 110
| 5.333333
| 0.733333
| 0.3
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010526
| 0.136364
| 110
| 4
| 38
| 27.5
| 0.831579
| 0.281818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| true
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 8
|
5305c66e383c26c9dc6b388b901f7cff240eb184
| 178
|
py
|
Python
|
sportsdataverse/nba/__init__.py
|
saiemgilani/sportsdataverse-py
|
77ae3accbb071b5308335b931e4e55a65e1500cd
|
[
"MIT"
] | 12
|
2021-10-15T01:24:18.000Z
|
2022-03-15T17:00:22.000Z
|
sportsdataverse/nba/__init__.py
|
saiemgilani/sportsdataverse-py
|
77ae3accbb071b5308335b931e4e55a65e1500cd
|
[
"MIT"
] | 19
|
2021-11-02T05:53:41.000Z
|
2022-03-16T14:16:51.000Z
|
sportsdataverse/nba/__init__.py
|
saiemgilani/sportsdataverse-py
|
77ae3accbb071b5308335b931e4e55a65e1500cd
|
[
"MIT"
] | 1
|
2021-12-21T14:49:25.000Z
|
2021-12-21T14:49:25.000Z
|
from sportsdataverse.nba.nba_loaders import *
from sportsdataverse.nba.nba_pbp import *
from sportsdataverse.nba.nba_schedule import *
from sportsdataverse.nba.nba_teams import *
| 44.5
| 46
| 0.848315
| 24
| 178
| 6.125
| 0.333333
| 0.517007
| 0.598639
| 0.680272
| 0.632653
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08427
| 178
| 4
| 47
| 44.5
| 0.90184
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 7
|
5313c5fe044e92ee0cd4a770248cf8afced9e898
| 34
|
py
|
Python
|
tests/test_import.py
|
meads2/googlesearch
|
63e6a5afd7f7956a78de5b1543489acbd5de428a
|
[
"MIT"
] | null | null | null |
tests/test_import.py
|
meads2/googlesearch
|
63e6a5afd7f7956a78de5b1543489acbd5de428a
|
[
"MIT"
] | null | null | null |
tests/test_import.py
|
meads2/googlesearch
|
63e6a5afd7f7956a78de5b1543489acbd5de428a
|
[
"MIT"
] | null | null | null |
def test_import_class():
pass
| 11.333333
| 24
| 0.705882
| 5
| 34
| 4.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.205882
| 34
| 2
| 25
| 17
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0.5
| 0.5
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 8
|
532dc80453825adca54a242b4ab8b4cd9cf2455d
| 24,731
|
py
|
Python
|
mrpy/spatial_operators/haar/2nd_order_ctr_finite_diff/laplacian.py
|
marc-nguessan/mrpy
|
6fb0bce485234a45bb863f71bc2bdf0a22014de3
|
[
"BSD-3-Clause"
] | 2
|
2020-01-06T10:48:44.000Z
|
2020-01-09T20:07:08.000Z
|
mrpy/spatial_operators/haar/2nd_order_ctr_finite_diff/laplacian.py
|
marc-nguessan/mrpy
|
6fb0bce485234a45bb863f71bc2bdf0a22014de3
|
[
"BSD-3-Clause"
] | 1
|
2020-01-09T20:08:50.000Z
|
2020-01-09T20:11:20.000Z
|
mrpy/spatial_operators/haar/2nd_order_ctr_finite_diff/laplacian.py
|
marc-nguessan/mrpy
|
6fb0bce485234a45bb863f71bc2bdf0a22014de3
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import print_function, division
"""This module is used to compute the laplacian operator in the x-direction.
The procedure "create_matrix" returns the matrix representing the linear
combination of this operation on a cartesian grid representation of a variable.
Since the spatial operator depends on the specific boundary conditions applied
to the computed variable, this matrix depends on the boundary conditions.
The procedure "create_bc_scalar" returns an array of the values needed to
complete the computation of the spatial operation on the meshes located at the boundary
of the domain. We assume that the type and the values of the variable at the
boundray do not change with time, so that this array is built with the type of
boundary condition applied to the varialbe computed, and the values at the
north, south, east and west boundaries of the variable.
...
...
"""
import petsc4py.PETSc as petsc
from six.moves import range
import config as cfg
from mrpy.mr_utils import mesh
from mrpy.mr_utils import op
import numpy as np
import math
import importlib
from .matrix_aux import matrix_add
#!!!!!!! penser a rajouter un mr_bc_scalar !!!!!!!!
def create_matrix(tree, axis):
matrix = petsc.Mat().create()
number_of_rows = tree.number_of_leaves
size_row = (number_of_rows, number_of_rows)
size_col = (number_of_rows, number_of_rows)
matrix.setSizes((size_row, size_col))
matrix.setUp()
# matrix = np.zeros(shape=(number_of_rows, number_of_rows), dtype=np.float)
if tree.dimension == 2:
for row in range(number_of_rows):
index = tree.tree_leaves[row]
i = tree.nindex_x[index]
j = tree.nindex_y[index]
k = tree.nindex_z[index]
level = tree.nlevel[index]
dx = tree.ndx[index]
dy = tree.ndy[index]
dz = tree.ndz[index]
# left flux for axis 0
if mesh.bc_compatible_local_indexes(tree, level, i-1, j, k) is not None:
i_left, j_left, k_left = mesh.bc_compatible_local_indexes(tree, level, i-1, j, k)
index_left = mesh.z_curve_index(tree.dimension, level, i_left, j_left, k_left)
if index_left in tree.tree_nodes and tree.nisleaf[index_left] \
or index_left not in tree.tree_nodes:
# the finest level for the left flux is the node's level
matrix_add(tree, matrix, row, -(dy)/(dx), level, i, j, k)
matrix_add(tree, matrix, row, (dy)/(dx), level, i_left, j_left, k_left)
else:
for n in range(2):
matrix_add(tree, matrix, row, -(dy/2)/((dx/2)), level+1, 2*i, 2*j+n, 2*k)
matrix_add(tree, matrix, row, (dy/2)/((dx/2)), level+1, 2*i_left+1, 2*j+n, 2*k)
elif tree.bc["west"][0] == "dirichlet":
# the finest level for the left flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dy)/(dx), level, i, j, k)
elif tree.bc["west"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# right flux for axis 0
if mesh.bc_compatible_local_indexes(tree, level, i+1, j, k) is not None:
i_right, j_right, k_right = mesh.bc_compatible_local_indexes(tree, level, i+1, j, k)
index_right = mesh.z_curve_index(tree.dimension, level, i_right, j_right, k_right)
if index_right in tree.tree_nodes and tree.nisleaf[index_right] \
or index_right not in tree.tree_nodes:
# the finest level for the right flux is the node's level
matrix_add(tree, matrix, row, -dy/(dx), level, i, j, k)
matrix_add(tree, matrix, row, dy/(dx), level, i_right, j_right, k_right)
else:
for n in range(2):
matrix_add(tree, matrix, row, -(dy/2)/((dx/2)), level+1, 2*i+1, 2*j+n, 2*k)
matrix_add(tree, matrix, row, (dy/2)/((dx/2)), level+1, 2*i_right, 2*j+n, 2*k)
elif tree.bc["east"][0] == "dirichlet":
# the finest level for the right flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dy)/(dx), level, i, j, k)
elif tree.bc["east"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# left flux for axis 1
if mesh.bc_compatible_local_indexes(tree, level, i, j-1, k) is not None:
i_left, j_left, k_left = mesh.bc_compatible_local_indexes(tree, level, i, j-1, k)
index_left = mesh.z_curve_index(tree.dimension, level, i_left, j_left, k_left)
if index_left in tree.tree_nodes and tree.nisleaf[index_left] \
or index_left not in tree.tree_nodes:
# the finest level for the left flux is the node's level
matrix_add(tree, matrix, row, -(dx)/(dy), level, i, j, k)
matrix_add(tree, matrix, row, (dx)/(dy), level, i_left, j_left, k_left)
else:
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)/((dy/2)), level+1, 2*i+m, 2*j, 2*k)
matrix_add(tree, matrix, row, (dx/2)/((dy/2)), level+1, 2*i+m, 2*j_left+1, 2*k)
elif tree.bc["south"][0] == "dirichlet":
# the finest level for the left flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx)/(dy), level, i, j, k)
elif tree.bc["south"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# right flux for axis 1
if mesh.bc_compatible_local_indexes(tree, level, i, j+1, k) is not None:
i_right, j_right, k_right = mesh.bc_compatible_local_indexes(tree, level, i, j+1, k)
index_right = mesh.z_curve_index(tree.dimension, level, i_right, j_right, k_right)
if index_right in tree.tree_nodes and tree.nisleaf[index_right] \
or index_right not in tree.tree_nodes:
# the finest level for the right flux is the node's level
matrix_add(tree, matrix, row, -dx/(dy), level, i, j, k)
matrix_add(tree, matrix, row, dx/(dy), level, i_right, j_right, k_right)
else:
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)/((dy/2)), level+1, 2*i+m, 2*j+1, 2*k)
matrix_add(tree, matrix, row, (dx/2)/((dy/2)), level+1, 2*i+m, 2*j_right, 2*k)
elif tree.bc["north"][0] == "dirichlet":
# the finest level for the right flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx)/(dy), level, i, j, k)
elif tree.bc["north"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
matrix.assemble()
return matrix
if tree.dimension == 3:
for row in range(number_of_rows):
index = tree.tree_leaves[row]
i = tree.nindex_x[index]
j = tree.nindex_y[index]
k = tree.nindex_z[index]
level = tree.nlevel[index]
dx = tree.ndx[index]
dy = tree.ndy[index]
dz = tree.ndz[index]
node = tree.tree_leaves[row]
i = node.index_x
j = node.index_y
k = node.index_z
# left flux for axis 0
if mesh.bc_compatible_local_indexes(tree, level, i-1, j, k) is not None:
i_left, j_left, k_left = mesh.bc_compatible_local_indexes(tree, level, i-1, j, k)
index_left = mesh.z_curve_index(tree.dimension, level, i_left, j_left, k_left)
if index_left in tree.tree_nodes and tree.nisleaf[index_left] \
or index_left not in tree.tree_nodes:
# the finest level for the left flux is the node's level
matrix_add(tree, matrix, row, -(dy*dz)/(dx), level, i, j, k)
matrix_add(tree, matrix, row, (dy*dz)/(dx), level, i_left, j_left, k_left)
else:
for o in range(2):
for n in range(2):
matrix_add(tree, matrix, row, -((dy/2)*(dz/2))/((dx/2)), level+1, 2*i, 2*j+n, 2*k+o)
matrix_add(tree, matrix, row, ((dy/2)*(dz/2))/((dx/2)), level+1, 2*i_left+1, 2*j+n, 2*k+o)
elif tree.bc["west"][0] == "dirichlet":
# the finest level for the left flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dy*dz)/(dx), level, i, j, k)
elif tree.bc["west"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# right flux for axis 0
if mesh.bc_compatible_local_indexes(tree, level, i+1, j, k) is not None:
i_right, j_right, k_right = mesh.bc_compatible_local_indexes(tree, level, i+1, j, k)
index_right = mesh.z_curve_index(tree.dimension, level, i_right, j_right, k_right)
if index_right in tree.tree_nodes and tree.nisleaf[index_right] \
or index_right not in tree.tree_nodes:
# the finest level for the right flux is the node's level
matrix_add(tree, matrix, row, -dy*dz/(dx), level, i, j, k)
matrix_add(tree, matrix, row, dy*dz/(dx), level, i_right, j_right, k_right)
else:
for o in range(2):
for n in range(2):
matrix_add(tree, matrix, row, -(dy/2)*(dz/2)/((dx/2)), level+1, 2*i+1, 2*j+n, 2*k+o)
matrix_add(tree, matrix, row, (dy/2)*(dz/2)/((dx/2)), level+1, 2*i_right, 2*j+n, 2*k+o)
elif tree.bc["east"][0] == "dirichlet":
# the finest level for the right flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dy*dz)/(dx), level, i, j, k)
elif tree.bc["east"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# left flux for axis 1
if mesh.bc_compatible_local_indexes(tree, level, i, j-1, k) is not None:
i_left, j_left, k_left = mesh.bc_compatible_local_indexes(tree, level, i, j-1, k)
index_left = mesh.z_curve_index(tree.dimension, level, i_left, j_left, k_left)
if index_left in tree.tree_nodes and tree.nisleaf[index_left] \
or index_left not in tree.tree_nodes:
# the finest level for the left flux is the node's level
matrix_add(tree, matrix, row, -(dx*dz)/(dy), level, i, j, k)
matrix_add(tree, matrix, row, (dx*dz)/(dy), level, i_left, j_left, k_left)
else:
for o in range(2):
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)*(dz/2)/((dy/2)), level+1, 2*i+m, 2*j, 2*k+o)
matrix_add(tree, matrix, row, (dx/2)*(dz/2)/((dy/2)), level+1, 2*i+m, 2*j_left+1, 2*k+o)
elif tree.bc["south"][0] == "dirichlet":
# the finest level for the left flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx*dz)/(dy), level, i, j, k)
elif tree.bc["south"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# right flux for axis 1
if mesh.bc_compatible_local_indexes(tree, level, i, j+1, k) is not None:
i_right, j_right, k_right = mesh.bc_compatible_local_indexes(tree, level, i, j+1, k)
index_right = mesh.z_curve_index(tree.dimension, level, i_right, j_right, k_right)
if index_right in tree.tree_nodes and tree.nisleaf[index_right] \
or index_right not in tree.tree_nodes:
# the finest level for the right flux is the node's level
matrix_add(tree, matrix, row, -dx*dz/(dy), level, i, j, k)
matrix_add(tree, matrix, row, dx*dz/(dy), level, i_right, j_right, k_right)
else:
for o in range(2):
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)*(dz/2)/((dy/2)), level+1, 2*i+m, 2*j, 2*k+o)
matrix_add(tree, matrix, row, (dx/2)*(dz/2)/((dy/2)), level+1, 2*i+m, 2*j_right, 2*k+o)
elif tree.bc["north"][0] == "dirichlet":
# the finest level for the right flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx*dz)/(dy), level, i, j, k)
elif tree.bc["north"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# left flux for axis 2
if mesh.bc_compatible_local_indexes(tree, level, i, j, k-1) is not None:
i_left, j_left, k_left = mesh.bc_compatible_local_indexes(tree, level, i, j, k-1)
index_left = mesh.z_curve_index(tree.dimension, level, i_left, j_left, k_left)
if index_left in tree.tree_nodes and tree.nisleaf[index_left] \
or index_left not in tree.tree_nodes:
# the finest level for the left flux is the node's level
matrix_add(tree, matrix, row, -(dx*dy)/(dz), level, i, j, k)
matrix_add(tree, matrix, row, (dx*dy)/(dz), level, i_left, j_left, k_left)
else:
for n in range(2):
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)*(dy/2)/((dz/2)), level+1, 2*i+m, 2*j+n, 2*k)
matrix_add(tree, matrix, row, (dx/2)*(dy/2)/((dz/2)), level+1, 2*i+m, 2*j+n, 2*k_left+1)
elif tree.bc["back"][0] == "dirichlet":
# the finest level for the left flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx*dy)/(dz), level, i, j, k)
elif tree.bc["back"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
# right flux for axis 2
if mesh.bc_compatible_local_indexes(tree, level, i, j, k+1) is not None:
i_right, j_right, k_right = mesh.bc_compatible_local_indexes(tree, level, i, j, k+1)
index_right = mesh.z_curve_index(tree.dimension, level, i_right, j_right, k_right)
if index_right in tree.tree_nodes and tree.nisleaf[index_right] \
or index_right not in tree.tree_nodes:
# the finest level for the right flux is the node's level
matrix_add(tree, matrix, row, -(dx*dy)/(dz), level, i, j, k)
matrix_add(tree, matrix, row, (dx*dy)/(dz), level, i_right, j_right, k_right)
else:
for n in range(2):
for m in range(2):
matrix_add(tree, matrix, row, -(dx/2)*(dy/2)/((dz/2)), level+1, 2*i+m, 2*j+n, 2*k+1)
matrix_add(tree, matrix, row, (dx/2)*(dy/2)/((dz/2)), level+1, 2*i+m, 2*j+n, 2*k_right)
elif tree.bc["forth"][0] == "dirichlet":
# the finest level for the right flux is the node's level; this node
# receives a second contribution because of the boundary condition
matrix_add(tree, matrix, row, -2*(dx*dy)/(dz), level, i, j, k)
elif tree.bc["forth"][0] == "neumann":
#the left flux depends only on the boundary condition scalar
pass
matrix.assemble()
return matrix
def create_bc_scalar(tree, axis, north=None, south=None, east=None, west=None, front=None, back=None):
scalar = petsc.Vec().create()
number_of_rows = tree.number_of_leaves
scalar.setSizes(number_of_rows, number_of_rows)
scalar.setUp()
if north is None and south is None and east is None and west is None and front is None and back is None:
north = tree.bc["north"][1]
south = tree.bc["south"][1]
west = tree.bc["west"][1]
east = tree.bc["east"][1]
forth = tree.bc["forth"][1]
back = tree.bc["back"][1]
if tree.dimension == 2:
for row in range(number_of_rows):
index = tree.tree_leaves[row]
level = tree.nlevel[index]
i = tree.nindex_x[index]
j = tree.nindex_y[index]
k = tree.nindex_z[index]
dx = tree.ndx[index]
dy = tree.ndy[index]
dz = tree.ndz[index]
#left flux
if i == 0:
if tree.bc["west"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "west", level, 0, j, k)
scalar.setValue(row, 2*west(coords)*dy/(dx), True)
elif tree.bc["west"][0] == "neumann":
coords = mesh.boundary_coords(tree, "west", level, 0, j, k)
scalar.setValue(row, west(coords)*dy, True)
elif tree.bc["west"][0] == "periodic":
pass
if j == 0:
if tree.bc["south"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "south", level, i, 0, k)
scalar.setValue(row, 2*south(coords)*dx/(dy), True)
elif tree.bc["south"][0] == "neumann":
coords = mesh.boundary_coords(tree, "south", level, i, 0, k)
scalar.setValue(row, south(coords)*dx, True)
elif tree.bc["south"][0] == "periodic":
pass
#right flux
if i == 2**level-1:
if tree.bc["east"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "east", level, 0, j, k)
scalar.setValue(row, 2*east(coords)*dy/(dx), True)
elif tree.bc["east"][0] == "neumann":
coords = mesh.boundary_coords(tree, "east", level, 0, j, k)
scalar.setValue(row, east(coords)*dy, True)
elif tree.bc["east"][0] == "periodic":
pass
if j == 2**level-1:
if tree.bc["north"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "north", level, i, 0, k)
scalar.setValue(row, 2*north(coords)*dx/(dy), True)
elif tree.bc["north"][0] == "neumann":
coords = mesh.boundary_coords(tree, "north", level, i, 0, k)
scalar.setValue(row, north(coords)*dx, True)
elif tree.bc["north"][0] == "periodic":
pass
return scalar
elif tree.dimension == 3:
for row in range(number_of_rows):
index = tree.tree_leaves[row]
level = tree.nlevel[index]
i = tree.nindex_x[index]
j = tree.nindex_y[index]
k = tree.nindex_z[index]
dx = tree.ndx[index]
dy = tree.ndy[index]
dz = tree.ndz[index]
#left flux
if i == 0:
if tree.bc["west"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "west", level, 0, j, k)
scalar.setValue(row, 2*west(coords)*dy*dz/(dx), True)
elif tree.bc["west"][0] == "neumann":
coords = mesh.boundary_coords(tree, "west", level, 0, j, k)
scalar.setValue(row, west(coords)*dy*dz, True)
elif tree.bc["west"][0] == "periodic":
pass
if j == 0:
if tree.bc["south"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "south", level, i, 0, k)
scalar.setValue(row, 2*south(coords)*dx*dz/(dy), True)
elif tree.bc["south"][0] == "neumann":
coords = mesh.boundary_coords(tree, "south", level, i, 0, k)
scalar.setValue(row, south(coords)*dx*dz, True)
elif tree.bc["south"][0] == "periodic":
pass
if k == 0:
if tree.bc["back"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "back", level, i, j, 0)
scalar.setValue(row, 2*back(coords)*dx*dy/(dz), True)
elif tree.bc["back"][0] == "neumann":
coords = mesh.boundary_coords(tree, "back", level, i, j, 0)
scalar.setValue(row, back(coords)*dx*dy, True)
elif tree.bc["back"][0] == "periodic":
pass
#right flux
if i == 2**level-1:
if tree.bc["east"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "east", level, 0, j, k)
scalar.setValue(row, 2*east(coords)*dy*dz/(dx), True)
elif tree.bc["east"][0] == "neumann":
coords = mesh.boundary_coords(tree, "east", level, 0, j, k)
scalar.setValue(row, east(coords)*dy*dz, True)
elif tree.bc["east"][0] == "periodic":
pass
if j == 2**level-1:
if tree.bc["north"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "north", level, i, 0, k)
scalar.setValue(row, 2*north(coords)*dx*dz/(dy), True)
elif tree.bc["north"][0] == "neumann":
coords = mesh.boundary_coords(tree, "north", level, i, 0, k)
scalar.setValue(row, north(coords)*dx*dz, True)
elif tree.bc["north"][0] == "periodic":
pass
if k == 2**level-1:
if tree.bc["forth"][0] == "dirichlet":
coords = mesh.boundary_coords(tree, "forth", level, i, j, 0)
scalar.setValue(row, 2*forth(coords)*dx*dy/(dz), True)
elif tree.bc["forth"][0] == "neumann":
coords = mesh.boundary_coords(tree, "forth", level, i, j, 0)
scalar.setValue(row, forth(coords)*dx*dy, True)
elif tree.bc["forth"][0] == "periodic":
pass
return scalar
if __name__ == "__main__":
output_module = importlib.import_module(cfg.output_module_name)
tree = mesh.create_new_tree(cfg.dimension, cfg.min_level, cfg.max_level, cfg.stencil_graduation, cfg.stencil_prediction)
tree.tag = "u"
mesh.listing_of_leaves(tree)
print(tree.number_of_leaves)
print("")
laplacian_matrix = create_matrix(tree, 0)
laplacian_matrix.view()
print("")
for index in tree.tree_leaves:
tree.nvalue[index] = cfg.function(tree.ncoord_x[index], tree.ncoord_y[index])
output_module.write(tree, "test_finest_grid.dat")
op.run_projection(tree)
op.encode_details(tree)
op.run_thresholding(tree)
op.run_grading(tree)
op.run_pruning(tree)
mesh.listing_of_leaves(tree)
print(tree.number_of_leaves)
print("")
output_module.write(tree, "test_adapted_grid.dat")
laplacian_matrix = create_matrix(tree, 0)
laplacian_matrix.view()
print("")
laplacian_bc = create_bc_scalar(tree, 0)
laplacian_bc.view()
print("")
| 44.400359
| 124
| 0.539161
| 3,498
| 24,731
| 3.688107
| 0.056032
| 0.033486
| 0.050384
| 0.073638
| 0.861794
| 0.846601
| 0.835672
| 0.82854
| 0.80924
| 0.809085
| 0
| 0.018685
| 0.337795
| 24,731
| 556
| 125
| 44.480216
| 0.769066
| 0.114836
| 0
| 0.671388
| 0
| 0
| 0.037734
| 0.001001
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005666
| false
| 0.056657
| 0.031161
| 0
| 0.048159
| 0.022663
| 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
|
7259a096295c97945756dcb2fcac45d03a040b8e
| 41,187
|
py
|
Python
|
Lib/site-packages/tensorflow/python/ops/gen_debug_ops.py
|
caiyongji/tf2.3.1-py3.7.9-full-built
|
ace4efcbf05b2b494388739718a18c13eab83c71
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
Lib/site-packages/tensorflow/python/ops/gen_debug_ops.py
|
caiyongji/tf2.3.1-py3.7.9-full-built
|
ace4efcbf05b2b494388739718a18c13eab83c71
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
Lib/site-packages/tensorflow/python/ops/gen_debug_ops.py
|
caiyongji/tf2.3.1-py3.7.9-full-built
|
ace4efcbf05b2b494388739718a18c13eab83c71
|
[
"CNRI-Python-GPL-Compatible"
] | null | null | null |
"""Python wrappers around TensorFlow ops.
This file is MACHINE GENERATED! Do not edit.
"""
import collections
from tensorflow.python import pywrap_tfe as pywrap_tfe
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.eager import execute as _execute
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.framework import op_def_registry as _op_def_registry
from tensorflow.python.framework import ops as _ops
from tensorflow.python.framework import op_def_library as _op_def_library
from tensorflow.python.util.deprecation import deprecated_endpoints
from tensorflow.python.util import dispatch as _dispatch
from tensorflow.python.util.tf_export import tf_export
def copy(input, tensor_name="", debug_ops_spec=[], name=None):
r"""Copy a tensor from CPU-to-CPU or GPU-to-GPU.
Performs CPU-to-CPU or GPU-to-GPU deep-copying of tensor, depending on the
device on which the tensor is allocated.
N.B.: If the all downstream attached debug ops are disabled given the current
gRPC gating status, the output will simply forward the input tensor without
deep-copying. See the documentation of Debug* ops for more details.
Unlike the CopyHost Op, this op does not have HostMemory constraint on its
input or output.
Args:
input: A `Tensor`. Input tensor.
tensor_name: An optional `string`. Defaults to `""`.
The name of the input tensor.
debug_ops_spec: An optional list of `strings`. Defaults to `[]`.
A list of debug op spec (op, url, gated_grpc) for attached debug
ops. Each element of the list has the format
<debug_op>;<grpc_url>;<gated_grpc>, wherein gated_grpc is boolean represented
as 0/1. E.g., "DebugIdentity;grpc://foo:3333;1",
"DebugIdentity;file:///tmp/tfdbg_1;0".
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `input`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "Copy", name, tld.op_callbacks,
input, "tensor_name", tensor_name, "debug_ops_spec", debug_ops_spec)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return copy_eager_fallback(
input, tensor_name=tensor_name, debug_ops_spec=debug_ops_spec,
name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_ops_spec is None:
debug_ops_spec = []
if not isinstance(debug_ops_spec, (list, tuple)):
raise TypeError(
"Expected list for 'debug_ops_spec' argument to "
"'copy' Op, not %r." % debug_ops_spec)
debug_ops_spec = [_execute.make_str(_s, "debug_ops_spec") for _s in debug_ops_spec]
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"Copy", input=input, tensor_name=tensor_name,
debug_ops_spec=debug_ops_spec, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "tensor_name",
_op.get_attr("tensor_name"), "debug_ops_spec",
_op.get_attr("debug_ops_spec"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"Copy", _inputs_flat, _attrs, _result)
_result, = _result
return _result
Copy = tf_export("raw_ops.Copy")(_ops.to_raw_op(copy))
def copy_eager_fallback(input, tensor_name, debug_ops_spec, name, ctx):
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_ops_spec is None:
debug_ops_spec = []
if not isinstance(debug_ops_spec, (list, tuple)):
raise TypeError(
"Expected list for 'debug_ops_spec' argument to "
"'copy' Op, not %r." % debug_ops_spec)
debug_ops_spec = [_execute.make_str(_s, "debug_ops_spec") for _s in debug_ops_spec]
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "tensor_name", tensor_name, "debug_ops_spec",
debug_ops_spec)
_result = _execute.execute(b"Copy", 1, inputs=_inputs_flat, attrs=_attrs,
ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"Copy", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def copy_host(input, tensor_name="", debug_ops_spec=[], name=None):
r"""Copy a tensor to host.
Performs CPU-to-CPU deep-copying of tensor.
N.B.: If the all downstream attached debug ops are disabled given the current
gRPC gating status, the output will simply forward the input tensor without
deep-copying. See the documentation of Debug* ops for more details.
Unlike the Copy Op, this op has HostMemory constraint on its input or output.
Args:
input: A `Tensor`. Input tensor.
tensor_name: An optional `string`. Defaults to `""`.
The name of the input tensor.
debug_ops_spec: An optional list of `strings`. Defaults to `[]`.
A list of debug op spec (op, url, gated_grpc) for attached debug
ops. Each element of the list has the format
<debug_op>;<grpc_url>;<gated_grpc>, wherein gated_grpc is boolean represented
as 0/1. E.g., "DebugIdentity;grpc://foo:3333;1",
"DebugIdentity;file:///tmp/tfdbg_1;0".
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `input`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "CopyHost", name,
tld.op_callbacks, input, "tensor_name", tensor_name, "debug_ops_spec",
debug_ops_spec)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return copy_host_eager_fallback(
input, tensor_name=tensor_name, debug_ops_spec=debug_ops_spec,
name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_ops_spec is None:
debug_ops_spec = []
if not isinstance(debug_ops_spec, (list, tuple)):
raise TypeError(
"Expected list for 'debug_ops_spec' argument to "
"'copy_host' Op, not %r." % debug_ops_spec)
debug_ops_spec = [_execute.make_str(_s, "debug_ops_spec") for _s in debug_ops_spec]
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"CopyHost", input=input, tensor_name=tensor_name,
debug_ops_spec=debug_ops_spec, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "tensor_name",
_op.get_attr("tensor_name"), "debug_ops_spec",
_op.get_attr("debug_ops_spec"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"CopyHost", _inputs_flat, _attrs, _result)
_result, = _result
return _result
CopyHost = tf_export("raw_ops.CopyHost")(_ops.to_raw_op(copy_host))
def copy_host_eager_fallback(input, tensor_name, debug_ops_spec, name, ctx):
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_ops_spec is None:
debug_ops_spec = []
if not isinstance(debug_ops_spec, (list, tuple)):
raise TypeError(
"Expected list for 'debug_ops_spec' argument to "
"'copy_host' Op, not %r." % debug_ops_spec)
debug_ops_spec = [_execute.make_str(_s, "debug_ops_spec") for _s in debug_ops_spec]
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "tensor_name", tensor_name, "debug_ops_spec",
debug_ops_spec)
_result = _execute.execute(b"CopyHost", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"CopyHost", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def debug_identity(input, device_name="", tensor_name="", debug_urls=[], gated_grpc=False, name=None):
r"""Provides an identity mapping of the non-Ref type input tensor for debugging.
Provides an identity mapping of the non-Ref type input tensor for debugging.
Args:
input: A `Tensor`. Input tensor, non-Reference type
device_name: An optional `string`. Defaults to `""`.
Name of the device on which the tensor resides.
tensor_name: An optional `string`. Defaults to `""`.
Name of the input tensor.
debug_urls: An optional list of `strings`. Defaults to `[]`.
List of URLs to debug targets, e.g.,
file:///foo/tfdbg_dump, grpc:://localhost:11011
gated_grpc: An optional `bool`. Defaults to `False`.
Whether this op will be gated. If any of the debug_urls of this
debug node is of the grpc:// scheme, when the value of this attribute is set
to True, the data will not actually be sent via the grpc stream unless this
debug op has been enabled at the debug_url. If all of the debug_urls of this
debug node are of the grpc:// scheme and the debug op is enabled at none of
them, the output will be an empty Tensor.
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `input`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "DebugIdentity", name,
tld.op_callbacks, input, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "gated_grpc", gated_grpc)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return debug_identity_eager_fallback(
input, device_name=device_name, tensor_name=tensor_name,
debug_urls=debug_urls, gated_grpc=gated_grpc, name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_identity' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"DebugIdentity", input=input, device_name=device_name,
tensor_name=tensor_name, debug_urls=debug_urls,
gated_grpc=gated_grpc, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "device_name",
_op.get_attr("device_name"), "tensor_name",
_op.get_attr("tensor_name"), "debug_urls",
_op.get_attr("debug_urls"), "gated_grpc",
_op._get_attr_bool("gated_grpc"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"DebugIdentity", _inputs_flat, _attrs, _result)
_result, = _result
return _result
DebugIdentity = tf_export("raw_ops.DebugIdentity")(_ops.to_raw_op(debug_identity))
def debug_identity_eager_fallback(input, device_name, tensor_name, debug_urls, gated_grpc, name, ctx):
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_identity' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "gated_grpc", gated_grpc)
_result = _execute.execute(b"DebugIdentity", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"DebugIdentity", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def debug_identity_v2(input, tfdbg_context_id="", op_name="", output_slot=-1, tensor_debug_mode=-1, debug_urls=[], circular_buffer_size=1000, tfdbg_run_id="", name=None):
r"""Debug Identity V2 Op.
Provides an identity mapping from input to output, while writing the content of
the input tensor by calling DebugEventsWriter.
The semantics of the input tensor depends on tensor_debug_mode. In typical
usage, the input tensor comes directly from the user computation only when
graph_debug_mode is FULL_TENSOR (see protobuf/debug_event.proto for a
list of all the possible values of graph_debug_mode). For the other debug modes,
the input tensor should be produced by an additional op or subgraph that
computes summary information about one or more tensors.
Args:
input: A `Tensor`. Input tensor, non-Reference type
tfdbg_context_id: An optional `string`. Defaults to `""`.
A tfdbg-generated ID for the context that the op belongs to,
e.g., a concrete compiled tf.function.
op_name: An optional `string`. Defaults to `""`.
Optional. Name of the op that the debug op is concerned with.
Used only for single-tensor trace.
output_slot: An optional `int`. Defaults to `-1`.
Optional. Output slot index of the tensor that the debug op
is concerned with. Used only for single-tensor trace.
tensor_debug_mode: An optional `int`. Defaults to `-1`.
TensorDebugMode enum value. See debug_event.proto for details.
debug_urls: An optional list of `strings`. Defaults to `[]`.
List of URLs to debug targets, e.g., file:///foo/tfdbg_dump.
circular_buffer_size: An optional `int`. Defaults to `1000`.
tfdbg_run_id: An optional `string`. Defaults to `""`.
name: A name for the operation (optional).
Returns:
A `Tensor`. Has the same type as `input`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "DebugIdentityV2", name,
tld.op_callbacks, input, "tfdbg_context_id", tfdbg_context_id,
"op_name", op_name, "output_slot", output_slot, "tensor_debug_mode",
tensor_debug_mode, "debug_urls", debug_urls, "circular_buffer_size",
circular_buffer_size, "tfdbg_run_id", tfdbg_run_id)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return debug_identity_v2_eager_fallback(
input, tfdbg_context_id=tfdbg_context_id, op_name=op_name,
output_slot=output_slot, tensor_debug_mode=tensor_debug_mode,
debug_urls=debug_urls, circular_buffer_size=circular_buffer_size,
tfdbg_run_id=tfdbg_run_id, name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if tfdbg_context_id is None:
tfdbg_context_id = ""
tfdbg_context_id = _execute.make_str(tfdbg_context_id, "tfdbg_context_id")
if op_name is None:
op_name = ""
op_name = _execute.make_str(op_name, "op_name")
if output_slot is None:
output_slot = -1
output_slot = _execute.make_int(output_slot, "output_slot")
if tensor_debug_mode is None:
tensor_debug_mode = -1
tensor_debug_mode = _execute.make_int(tensor_debug_mode, "tensor_debug_mode")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_identity_v2' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if circular_buffer_size is None:
circular_buffer_size = 1000
circular_buffer_size = _execute.make_int(circular_buffer_size, "circular_buffer_size")
if tfdbg_run_id is None:
tfdbg_run_id = ""
tfdbg_run_id = _execute.make_str(tfdbg_run_id, "tfdbg_run_id")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"DebugIdentityV2", input=input, tfdbg_context_id=tfdbg_context_id,
op_name=op_name, output_slot=output_slot,
tensor_debug_mode=tensor_debug_mode,
debug_urls=debug_urls,
circular_buffer_size=circular_buffer_size,
tfdbg_run_id=tfdbg_run_id, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "tfdbg_context_id",
_op.get_attr("tfdbg_context_id"), "op_name",
_op.get_attr("op_name"), "output_slot",
_op._get_attr_int("output_slot"), "tensor_debug_mode",
_op._get_attr_int("tensor_debug_mode"), "debug_urls",
_op.get_attr("debug_urls"), "circular_buffer_size",
_op._get_attr_int("circular_buffer_size"), "tfdbg_run_id",
_op.get_attr("tfdbg_run_id"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"DebugIdentityV2", _inputs_flat, _attrs, _result)
_result, = _result
return _result
DebugIdentityV2 = tf_export("raw_ops.DebugIdentityV2")(_ops.to_raw_op(debug_identity_v2))
def debug_identity_v2_eager_fallback(input, tfdbg_context_id, op_name, output_slot, tensor_debug_mode, debug_urls, circular_buffer_size, tfdbg_run_id, name, ctx):
if tfdbg_context_id is None:
tfdbg_context_id = ""
tfdbg_context_id = _execute.make_str(tfdbg_context_id, "tfdbg_context_id")
if op_name is None:
op_name = ""
op_name = _execute.make_str(op_name, "op_name")
if output_slot is None:
output_slot = -1
output_slot = _execute.make_int(output_slot, "output_slot")
if tensor_debug_mode is None:
tensor_debug_mode = -1
tensor_debug_mode = _execute.make_int(tensor_debug_mode, "tensor_debug_mode")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_identity_v2' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if circular_buffer_size is None:
circular_buffer_size = 1000
circular_buffer_size = _execute.make_int(circular_buffer_size, "circular_buffer_size")
if tfdbg_run_id is None:
tfdbg_run_id = ""
tfdbg_run_id = _execute.make_str(tfdbg_run_id, "tfdbg_run_id")
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "tfdbg_context_id", tfdbg_context_id, "op_name",
op_name, "output_slot", output_slot, "tensor_debug_mode", tensor_debug_mode,
"debug_urls", debug_urls, "circular_buffer_size", circular_buffer_size,
"tfdbg_run_id", tfdbg_run_id)
_result = _execute.execute(b"DebugIdentityV2", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"DebugIdentityV2", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def debug_nan_count(input, device_name="", tensor_name="", debug_urls=[], gated_grpc=False, name=None):
r"""Debug NaN Value Counter Op.
Counts number of NaNs in the input tensor, for debugging.
Args:
input: A `Tensor`. Input tensor, non-Reference type.
device_name: An optional `string`. Defaults to `""`.
tensor_name: An optional `string`. Defaults to `""`.
Name of the input tensor.
debug_urls: An optional list of `strings`. Defaults to `[]`.
List of URLs to debug targets, e.g.,
file:///foo/tfdbg_dump, grpc:://localhost:11011.
gated_grpc: An optional `bool`. Defaults to `False`.
Whether this op will be gated. If any of the debug_urls of this
debug node is of the grpc:// scheme, when the value of this attribute is set
to True, the data will not actually be sent via the grpc stream unless this
debug op has been enabled at the debug_url. If all of the debug_urls of this
debug node are of the grpc:// scheme and the debug op is enabled at none of
them, the output will be an empty Tensor.
name: A name for the operation (optional).
Returns:
A `Tensor` of type `int64`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "DebugNanCount", name,
tld.op_callbacks, input, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "gated_grpc", gated_grpc)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return debug_nan_count_eager_fallback(
input, device_name=device_name, tensor_name=tensor_name,
debug_urls=debug_urls, gated_grpc=gated_grpc, name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_nan_count' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"DebugNanCount", input=input, device_name=device_name,
tensor_name=tensor_name, debug_urls=debug_urls,
gated_grpc=gated_grpc, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "device_name",
_op.get_attr("device_name"), "tensor_name",
_op.get_attr("tensor_name"), "debug_urls",
_op.get_attr("debug_urls"), "gated_grpc",
_op._get_attr_bool("gated_grpc"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"DebugNanCount", _inputs_flat, _attrs, _result)
_result, = _result
return _result
DebugNanCount = tf_export("raw_ops.DebugNanCount")(_ops.to_raw_op(debug_nan_count))
def debug_nan_count_eager_fallback(input, device_name, tensor_name, debug_urls, gated_grpc, name, ctx):
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_nan_count' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "gated_grpc", gated_grpc)
_result = _execute.execute(b"DebugNanCount", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"DebugNanCount", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def debug_numeric_summary(input, device_name="", tensor_name="", debug_urls=[], lower_bound=float('-inf'), upper_bound=float('inf'), mute_if_healthy=False, gated_grpc=False, name=None):
r"""Debug Numeric Summary Op.
Provide a basic summary of numeric value types, range and distribution.
output: A double tensor of shape [14 + nDimensions], where nDimensions is the
number of dimensions of the tensor's shape. The elements of output are:
[0]: is initialized (1.0) or not (0.0).
[1]: total number of elements
[2]: NaN element count
[3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by
default.
[4]: negative element count (excluding -inf), if lower_bound is the default
-inf. Otherwise, this is the count of elements > lower_bound and < 0.
[5]: zero element count
[6]: positive element count (excluding +inf), if upper_bound is the default
+inf. Otherwise, this is the count of elements < upper_bound and > 0.
[7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by
default.
Output elements [1:8] are all zero, if the tensor is uninitialized.
[8]: minimum of all non-inf and non-NaN elements.
If uninitialized or no such element exists: +inf.
[9]: maximum of all non-inf and non-NaN elements.
If uninitialized or no such element exists: -inf.
[10]: mean of all non-inf and non-NaN elements.
If uninitialized or no such element exists: NaN.
[11]: variance of all non-inf and non-NaN elements.
If uninitialized or no such element exists: NaN.
[12]: Data type of the tensor encoded as an enum integer. See the DataType
proto for more details.
[13]: Number of dimensions of the tensor (ndims).
[14+]: Sizes of the dimensions.
Args:
input: A `Tensor`. Input tensor, non-Reference type.
device_name: An optional `string`. Defaults to `""`.
tensor_name: An optional `string`. Defaults to `""`.
Name of the input tensor.
debug_urls: An optional list of `strings`. Defaults to `[]`.
List of URLs to debug targets, e.g.,
file:///foo/tfdbg_dump, grpc:://localhost:11011.
lower_bound: An optional `float`. Defaults to `float('-inf')`.
(float) The lower bound <= which values will be included in the
generalized -inf count. Default: -inf.
upper_bound: An optional `float`. Defaults to `float('inf')`.
(float) The upper bound >= which values will be included in the
generalized +inf count. Default: +inf.
mute_if_healthy: An optional `bool`. Defaults to `False`.
(bool) Do not send data to the debug URLs unless at least one
of elements [2], [3] and [7] (i.e., the nan count and the generalized -inf and
inf counts) is non-zero.
gated_grpc: An optional `bool`. Defaults to `False`.
Whether this op will be gated. If any of the debug_urls of this
debug node is of the grpc:// scheme, when the value of this attribute is set
to True, the data will not actually be sent via the grpc stream unless this
debug op has been enabled at the debug_url. If all of the debug_urls of this
debug node are of the grpc:// scheme and the debug op is enabled at none of
them, the output will be an empty Tensor.
name: A name for the operation (optional).
Returns:
A `Tensor` of type `float64`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "DebugNumericSummary", name,
tld.op_callbacks, input, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "lower_bound", lower_bound,
"upper_bound", upper_bound, "mute_if_healthy", mute_if_healthy,
"gated_grpc", gated_grpc)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return debug_numeric_summary_eager_fallback(
input, device_name=device_name, tensor_name=tensor_name,
debug_urls=debug_urls, lower_bound=lower_bound,
upper_bound=upper_bound, mute_if_healthy=mute_if_healthy,
gated_grpc=gated_grpc, name=name, ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_numeric_summary' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if lower_bound is None:
lower_bound = float('-inf')
lower_bound = _execute.make_float(lower_bound, "lower_bound")
if upper_bound is None:
upper_bound = float('inf')
upper_bound = _execute.make_float(upper_bound, "upper_bound")
if mute_if_healthy is None:
mute_if_healthy = False
mute_if_healthy = _execute.make_bool(mute_if_healthy, "mute_if_healthy")
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"DebugNumericSummary", input=input, device_name=device_name,
tensor_name=tensor_name, debug_urls=debug_urls,
lower_bound=lower_bound,
upper_bound=upper_bound,
mute_if_healthy=mute_if_healthy,
gated_grpc=gated_grpc, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("T", _op._get_attr_type("T"), "device_name",
_op.get_attr("device_name"), "tensor_name",
_op.get_attr("tensor_name"), "debug_urls",
_op.get_attr("debug_urls"), "lower_bound",
_op.get_attr("lower_bound"), "upper_bound",
_op.get_attr("upper_bound"), "mute_if_healthy",
_op._get_attr_bool("mute_if_healthy"), "gated_grpc",
_op._get_attr_bool("gated_grpc"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"DebugNumericSummary", _inputs_flat, _attrs, _result)
_result, = _result
return _result
DebugNumericSummary = tf_export("raw_ops.DebugNumericSummary")(_ops.to_raw_op(debug_numeric_summary))
def debug_numeric_summary_eager_fallback(input, device_name, tensor_name, debug_urls, lower_bound, upper_bound, mute_if_healthy, gated_grpc, name, ctx):
if device_name is None:
device_name = ""
device_name = _execute.make_str(device_name, "device_name")
if tensor_name is None:
tensor_name = ""
tensor_name = _execute.make_str(tensor_name, "tensor_name")
if debug_urls is None:
debug_urls = []
if not isinstance(debug_urls, (list, tuple)):
raise TypeError(
"Expected list for 'debug_urls' argument to "
"'debug_numeric_summary' Op, not %r." % debug_urls)
debug_urls = [_execute.make_str(_s, "debug_urls") for _s in debug_urls]
if lower_bound is None:
lower_bound = float('-inf')
lower_bound = _execute.make_float(lower_bound, "lower_bound")
if upper_bound is None:
upper_bound = float('inf')
upper_bound = _execute.make_float(upper_bound, "upper_bound")
if mute_if_healthy is None:
mute_if_healthy = False
mute_if_healthy = _execute.make_bool(mute_if_healthy, "mute_if_healthy")
if gated_grpc is None:
gated_grpc = False
gated_grpc = _execute.make_bool(gated_grpc, "gated_grpc")
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("T", _attr_T, "device_name", device_name, "tensor_name",
tensor_name, "debug_urls", debug_urls, "lower_bound", lower_bound,
"upper_bound", upper_bound, "mute_if_healthy", mute_if_healthy,
"gated_grpc", gated_grpc)
_result = _execute.execute(b"DebugNumericSummary", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"DebugNumericSummary", _inputs_flat, _attrs, _result)
_result, = _result
return _result
def debug_numeric_summary_v2(input, output_dtype=_dtypes.float32, tensor_debug_mode=-1, tensor_id=-1, name=None):
r"""Debug Numeric Summary V2 Op.
Computes a numeric summary of the input tensor. The shape of the output
depends on the tensor_debug_mode attribute.
This op is used internally by TensorFlow Debugger (tfdbg) v2.
Args:
input: A `Tensor`. Input tensor, to be summarized by the op.
output_dtype: An optional `tf.DType` from: `tf.float32, tf.float64`. Defaults to `tf.float32`.
Optional. The type of the output. Can be float32 or float64 (default: float32).
tensor_debug_mode: An optional `int`. Defaults to `-1`.
Tensor debug mode: the mode in which the input tensor is summarized
by the op. See the TensorDebugMode enum in
tensorflow/core/protobuf/debug_event.proto for details.
Supported values:
2 (CURT_HEALTH): Output a float32/64 tensor of shape [2]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is a bit which is set to 1 if the input tensor has an
infinity or nan value, or zero otherwise.
3 (CONCISE_HEALTH): Output a float32/64 tensor of shape [5]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The
remaining four slots are the total number of elements, -infs,
+infs, and nans in the input tensor respectively.
4 (FULL_HEALTH): Output a float32/64 tensor of shape [11]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is the device_id, if provided, and -1 otherwise. The 3rd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The remaining elements hold the total number of elements, -infs,
+infs, nans, negative finite numbers, zeros, and positive finite
numbers in the input tensor respectively.
5 (SHAPE): Output a float32/64 tensor of shape [10]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The 3rd element holds the rank of the tensor. The 4th element holds
the number of elements within the tensor. Finally the remaining 6
elements hold the shape of the tensor. If the rank of the tensor
is lower than 6, the shape is right padded with zeros. If the rank
is greater than 6, the head of the shape is truncated.
6 (FULL_NUMERICS): Output a float32/64 tensor of shape [22]. The 1st
element is the tensor_id, if provided, and -1 otherwise. The 2nd
element is the device_id, if provided, and -1 otherwise. The 3rd
element holds the datatype value of the input tensor as according
to the enumerated type in tensorflow/core/framework/types.proto.
The 4th element holds the rank of the tensor. The 5th to 11th
elements hold the shape of the tensor. If the rank of the tensor
is lower than 6, the shape is right padded with zeros. If the rank
is greater than 6, the head of the shape is truncated. The 12th to
18th elements hold the number of elements, -infs, +infs, nans,
denormal floats, negative finite numbers, zeros, and positive
finite numbers in the input tensor respectively. The final four
elements hold the min value, max value, mean, and variance of the
input tensor.
8 (REDUCE_INF_NAN_THREE_SLOTS): Output a float32/64 tensor of shape
[3]. The 1st element is -inf if any elements of the input tensor
is -inf, or zero otherwise. The 2nd element is +inf if any elements
of the input tensor is +inf, or zero otherwise. The 3rd element is
nan if any element of the input tensor is nan, or zero otherwise.
tensor_id: An optional `int`. Defaults to `-1`.
Optional. An integer identifier for the tensor being summarized by this op.
name: A name for the operation (optional).
Returns:
A `Tensor` of type `output_dtype`.
"""
_ctx = _context._context or _context.context()
tld = _ctx._thread_local_data
if tld.is_eager:
try:
_result = pywrap_tfe.TFE_Py_FastPathExecute(
_ctx._context_handle, tld.device_name, "DebugNumericSummaryV2", name,
tld.op_callbacks, input, "output_dtype", output_dtype,
"tensor_debug_mode", tensor_debug_mode, "tensor_id", tensor_id)
return _result
except _core._NotOkStatusException as e:
_ops.raise_from_not_ok_status(e, name)
except _core._FallbackException:
pass
try:
return debug_numeric_summary_v2_eager_fallback(
input, output_dtype=output_dtype,
tensor_debug_mode=tensor_debug_mode, tensor_id=tensor_id, name=name,
ctx=_ctx)
except _core._SymbolicException:
pass # Add nodes to the TensorFlow graph.
# Add nodes to the TensorFlow graph.
if output_dtype is None:
output_dtype = _dtypes.float32
output_dtype = _execute.make_type(output_dtype, "output_dtype")
if tensor_debug_mode is None:
tensor_debug_mode = -1
tensor_debug_mode = _execute.make_int(tensor_debug_mode, "tensor_debug_mode")
if tensor_id is None:
tensor_id = -1
tensor_id = _execute.make_int(tensor_id, "tensor_id")
_, _, _op, _outputs = _op_def_library._apply_op_helper(
"DebugNumericSummaryV2", input=input, output_dtype=output_dtype,
tensor_debug_mode=tensor_debug_mode,
tensor_id=tensor_id, name=name)
_result = _outputs[:]
if _execute.must_record_gradient():
_attrs = ("output_dtype", _op._get_attr_type("output_dtype"), "T",
_op._get_attr_type("T"), "tensor_debug_mode",
_op._get_attr_int("tensor_debug_mode"), "tensor_id",
_op._get_attr_int("tensor_id"))
_inputs_flat = _op.inputs
_execute.record_gradient(
"DebugNumericSummaryV2", _inputs_flat, _attrs, _result)
_result, = _result
return _result
DebugNumericSummaryV2 = tf_export("raw_ops.DebugNumericSummaryV2")(_ops.to_raw_op(debug_numeric_summary_v2))
def debug_numeric_summary_v2_eager_fallback(input, output_dtype, tensor_debug_mode, tensor_id, name, ctx):
if output_dtype is None:
output_dtype = _dtypes.float32
output_dtype = _execute.make_type(output_dtype, "output_dtype")
if tensor_debug_mode is None:
tensor_debug_mode = -1
tensor_debug_mode = _execute.make_int(tensor_debug_mode, "tensor_debug_mode")
if tensor_id is None:
tensor_id = -1
tensor_id = _execute.make_int(tensor_id, "tensor_id")
_attr_T, (input,) = _execute.args_to_matching_eager([input], ctx)
_inputs_flat = [input]
_attrs = ("output_dtype", output_dtype, "T", _attr_T, "tensor_debug_mode",
tensor_debug_mode, "tensor_id", tensor_id)
_result = _execute.execute(b"DebugNumericSummaryV2", 1, inputs=_inputs_flat,
attrs=_attrs, ctx=ctx, name=name)
if _execute.must_record_gradient():
_execute.record_gradient(
"DebugNumericSummaryV2", _inputs_flat, _attrs, _result)
_result, = _result
return _result
| 45.161184
| 185
| 0.700634
| 5,919
| 41,187
| 4.543842
| 0.064369
| 0.04116
| 0.031753
| 0.029745
| 0.859937
| 0.830935
| 0.812605
| 0.794423
| 0.782413
| 0.766462
| 0
| 0.007047
| 0.207541
| 41,187
| 911
| 186
| 45.210757
| 0.816967
| 0.327749
| 0
| 0.805324
| 1
| 0
| 0.131778
| 0.010012
| 0
| 0
| 0
| 0
| 0
| 1
| 0.023295
| false
| 0.023295
| 0.019967
| 0
| 0.08985
| 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
|
727206351570781e0dcd436d92725f3516beb0fe
| 12,905
|
py
|
Python
|
bench/FEECa/plot.py
|
Airini/FEECa
|
3ffae7177fca159d965b70e3763a20ab84cd8a8b
|
[
"BSD-3-Clause"
] | 32
|
2016-05-18T05:41:28.000Z
|
2021-07-15T12:51:19.000Z
|
bench/FEECa/plot.py
|
Airini/FEECa
|
3ffae7177fca159d965b70e3763a20ab84cd8a8b
|
[
"BSD-3-Clause"
] | 4
|
2016-10-26T13:28:34.000Z
|
2017-02-08T16:37:41.000Z
|
bench/FEECa/plot.py
|
Airini/FEECa
|
3ffae7177fca159d965b70e3763a20ab84cd8a8b
|
[
"BSD-3-Clause"
] | 8
|
2016-05-18T21:33:55.000Z
|
2021-09-13T19:33:06.000Z
|
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.patches import Patch
from itertools import dropwhile
sns.set_style("whitegrid")
#------------------------------------------------------------------------------#
# Graphics settings.
#------------------------------------------------------------------------------#
plt.rc('text', usetex=True)
plt.rc('font', family='sans')
#------------------------------------------------------------------------------#
# Parser functions.
#------------------------------------------------------------------------------#
def convSpace(string):
if string == 'P':
return 0.0
if string == 'P-':
return 1.0
return -1.0
def convUnit(string):
if string == 's':
return 1.0
if string == 'ns':
return 1e-9
if string == 'ms':
return 1e-3
return 1e-6
def readCriterion(filename):
bs = open(filename, 'r').read().replace("\n"," ").split("benchmarking")
n = len(bs) - 1
types = np.empty((n,2), dtype="|S8")
times = np.zeros((n,3))
for i,b in enumerate(bs[1:]):
bw = b.split()
times[i,2] = np.float64(bw[3]) * convUnit(bw[4])
times[i,0:2] = bw[1].split("/")[1][1:-1].split(",")
types[i,0] = bw[0]
types[i,1] = bw[1].split("/")[0]
return types, times
types, times = readCriterion("bench.dat")
prlk_basis = times[np.all(types == ['PrLk','basis'],1),:]
prlk_evaluate = times[np.all(types == ['PrLk','evaluate'],1)]
prmlk_basis = times[np.all(types == ['PrmLk','basis'],1),:]
prmlk_evaluate = times[np.all(types == ['PrmLk','evaluate'],1)]
filename = "../fenics/timings_fenics.csv"
data_fenics = np.loadtxt(filename, delimiter=',', converters={0: convSpace})
prlk_fenics = np.asarray(data_fenics[data_fenics[:,0] == 0.0,1:], dtype=np.float64)
prmlk_fenics = np.asarray(data_fenics[data_fenics[:,0] == 1.0,1:], dtype=np.float64)
prlk_fenics_basis = prlk_fenics[:,-10:-5]
prlk_fenics_evaluate = prlk_fenics[:,-5:]
prmlk_fenics_basis = prmlk_fenics[:,-10:-5]
prmlk_fenics_evaluate = prmlk_fenics[:,-5:]
#------------------------------------------------------------------------------#
# PrLk Basis
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prlk_basis[:,0] == n)[0]
data = prlk_basis[inds,:]
inds = np.where(prlk_fenics[:,0] == n)[0]
data_fenics = prlk_fenics_basis[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r\Lambda^k$ --- Basis Function Computation", fontsize=14)
plt.tight_layout()
f.savefig('prlk_compute_basis.pdf',bbox_inches='tight')
#------------------------------------------------------------------------------#
# PrLk Evaluate
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prlk_evaluate[:,0] == n)[0]
data = prlk_evaluate[inds,:]
inds = np.where(prlk_fenics[:,0] == n)[0]
data_fenics = prlk_fenics_evaluate[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r\Lambda^k$ --- Basis Function Evaluation", fontsize=14)
plt.tight_layout()
f.savefig('prlk_evaluate_basis.pdf',bbox_inches='tight')
#------------------------------------------------------------------------------#
# PrmLk Basis
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prmlk_basis[:,0] == n)[0]
data = prmlk_basis[inds,:]
inds = np.where(prmlk_fenics[:,0] == n)[0]
data_fenics = prmlk_fenics_basis[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prmlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r^-\Lambda^k$ --- Basis Function Computation", fontsize=14)
plt.tight_layout()
f.savefig('prmlk_compute_basis.pdf',bbox_inches='tight')
#------------------------------------------------------------------------------#
# PrmLk Evaluate
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prmlk_evaluate[:,0] == n)[0]
data = prmlk_evaluate[inds,:]
inds = np.where(prmlk_fenics[:,0] == n)[0]
data_fenics = prmlk_fenics_evaluate[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prmlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r^-\Lambda^k$ --- Basis Function Evaluation", fontsize=14)
plt.tight_layout()
f.savefig('prmlk_evaluate_basis.pdf',bbox_inches='tight')
#------------------------------------------------------------------------------#
# PrLk Total
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prlk_basis[:,0] == n)[0]
data = prlk_basis[inds,:]
inds = np.where(prlk_evaluate[:,0] == n)[0]
data[:,-1] = data[:,-1] + prlk_evaluate[inds,-1]
inds = np.where(prlk_fenics[:,0] == n)[0]
data_fenics = prlk_fenics_basis[inds,:]
data_fenics = data_fenics + prlk_fenics_evaluate[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r^-\Lambda^k$ --- Total Time", fontsize=14)
plt.tight_layout()
f.savefig('prlk_total.pdf',bbox_inches='tight')
#------------------------------------------------------------------------------#
# PrmLk Total
#------------------------------------------------------------------------------#
rs = np.arange(1,6,1)
pal = sns.color_palette("spring", 4)[1:]
f,axs = plt.subplots(2,2)
for n,ax in zip(range(1,5) ,axs.ravel()[:-1]):
inds = np.where(prmlk_basis[:,0] == n)[0]
data = prmlk_basis[inds,:]
inds = np.where(prmlk_evaluate[:,0] == n)[0]
data[:,-1] = data[:,-1] + prlk_evaluate[inds,-1]
inds = np.where(prmlk_fenics[:,0] == n)[0]
data_fenics = prmlk_fenics_basis[inds,:]
data_fenics = data_fenics + prmlk_fenics_evaluate[inds,:]
ks = np.unique(data[:,1])
ls = []
for k,c in zip(ks, pal):
print(k)
ts = data[data[:,1] == k, 2]
ts_fenics = np.ravel(data_fenics[prmlk_fenics[inds,1] == k, :])
ls = ls + ax.plot(rs, ts_fenics / ts, c=c, lw=3)
ax.set_yscale("log")
ax.set_title("$n =" + str(n) + "$", fontsize=16)
ax.set_xlabel("Polynomial Degree $r$", fontsize=12)
ax.set_ylabel("Relative Speedup", fontsize=12)
ax.set_xticks(np.arange(min(rs), max(rs) + 1, 1.0))
#ax.set_yticks(np.linspace(min(rs),max(rs), 10))
axs.ravel()[-1].set_axis_off()
labels = ["$k =" + str(i) +"$" for i in range(5)]
l = plt.legend( ls, labels, loc = 'center', ncol = 1, prop={'size':14})
f.suptitle("$\mathcal{P}_r^-\Lambda^k$ --- Total Time", fontsize=14)
plt.tight_layout()
f.savefig('prmlk_total.pdf',bbox_inches='tight')
##prlk evaluate
#pal = sns.light_palette("navy", 6)[1:]
#f,axs = plt.subplots(2,2)
#for n,ax in zip(range(1,5) ,axs.ravel()):
# inds = np.where(prlk[:,0] == n)[0]
# ls = []
# for i,c in zip(inds, pal):
# print(prlk[i,1])
# ls = ls + ax.plot(rs, prlk_evaluate[i,:].T, c=c)
# ax.set_title("$\mathcal{P}_r\Lambda^k, n =" + str(n) + "$")
# ax.set_xlabel("Polynomial Degree $r$")
# ax.set_ylabel("Time to Solution $[s]$")
#
#labels = ["$k =" + str(i) +"$" for i in range(5)]
#l = plt.legend( ls, labels, loc = 'lower center', ncol = 5,
# bbox_to_anchor=(0.55,-0.03), bbox_transform=f.transFigure)
#f.suptitle(" Basis Function Evaluation")
#plt.tight_layout()
#f.savefig('prlk_evaluate_basis.pdf',bbox_inches='tight')
#
##prlmk evaluate
#pal = sns.light_palette("green", 6)[1:]
#f,axs = plt.subplots(2,2)
#for n,ax in zip(range(1,5) ,axs.ravel()):
# inds = np.where(prlk[:,0] == n)[0]
# ls = []
# for i,c in zip(inds, pal):
# print(prlk[i,1])
# ls = ls + ax.plot(rs, prmlk_basis[i,:].T, c=c)
# ax.set_title("$\mathcal{P}_r^-\Lambda^k, n =" + str(n) + "$")
# ax.set_xlabel("Polynomial Degree $r$")
# ax.set_ylabel("Time to Solution $[s]$")
#
#labels = ["$k =" + str(i) +"$" for i in range(5)]
#l = plt.legend( ls, labels, loc = 'lower center', ncol = 5,
# bbox_to_anchor=(0.55,-0.03), bbox_transform=f.transFigure)
#f.suptitle("Basis Function Computation")
#plt.tight_layout()
#f.savefig('prmlk_compute_basis.pdf',bbox_inches='tight')
#
##prlmk evaluate
#pal = sns.light_palette("green", 6)[1:]
#f,axs = plt.subplots(2,2)
#for n,ax in zip(range(1,5) ,axs.ravel()):
# inds = np.where(prlk[:,0] == n)[0]
# ls = []
# for i,c in zip(inds, pal):
# print(prlk[i,1])
# ls = ls + ax.plot(rs, prmlk_evaluate[i,:].T, c=c)
# ax.set_title("$\mathcal{P}_r^-\Lambda^k, n =" + str(n) + "$")
# ax.set_xlabel("Polynomial Degree $r$")
# ax.set_ylabel("Time to Solution $[s]$")
#
#labels = ["$k =" + str(i) +"$" for i in range(5)]
#l = plt.legend( ls, labels, loc = 'lower center', ncol = 5,
# bbox_to_anchor=(0.55,-0.03), bbox_transform=f.transFigure)
#f.suptitle("Basis Function Evaluation")
#plt.tight_layout()
#f.savefig('prmlk_evaluate_basis.pdf',bbox_inches='tight')
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| 84
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0
| 7
|
72856e485b9332ba73ae5cdc47184acd098b8405
| 10,255
|
py
|
Python
|
src/graphics/tests/test_cursor.py
|
Kautenja/very-good-semantic-segmentation-labeling-app
|
73a51ed17d1e22ae98ebae53058092b425708338
|
[
"MIT"
] | 1
|
2020-04-07T01:29:29.000Z
|
2020-04-07T01:29:29.000Z
|
src/graphics/tests/test_cursor.py
|
Kautenja/very-good-semantic-segmentation-labeling-app
|
73a51ed17d1e22ae98ebae53058092b425708338
|
[
"MIT"
] | null | null | null |
src/graphics/tests/test_cursor.py
|
Kautenja/very-good-semantic-segmentation-labeling-app
|
73a51ed17d1e22ae98ebae53058092b425708338
|
[
"MIT"
] | 1
|
2019-02-27T06:01:14.000Z
|
2019-02-27T06:01:14.000Z
|
"""Test cases for the brush_cursor module."""
from unittest import TestCase
import numpy as np
from ..cursor import make_circle
from ..cursor import make_cursor, make_ring
from ..cursor import pyglet_cursor
class ShouldCreateCircleWithRadius1(TestCase):
def test(self):
circle = make_circle(1)
expected = np.array([
[0, 0, 0,],
[0, 1, 0,],
[0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCircleWithRadius2(TestCase):
def test(self):
circle = make_circle(2)
expected = np.array([
[0, 0, 0, 0, 0,],
[0, 1, 1, 1, 0,],
[0, 1, 1, 1, 0,],
[0, 1, 1, 1, 0,],
[0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateRingWithRadius2(TestCase):
def test(self):
circle = make_ring(1, 2)
expected = np.array([
[0, 0, 0, 0, 0,],
[0, 1, 1, 1, 0,],
[0, 1, 0, 1, 0,],
[0, 1, 1, 1, 0,],
[0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCircleWithRadius3(TestCase):
def test(self):
circle = make_circle(3)
expected = np.array([
[0, 0, 0, 0, 0, 0, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 0, 0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateRingWithRadius3(TestCase):
def test(self):
circle = make_ring(2, 3)
expected = np.array([
[0, 0, 0, 0, 0, 0, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 1, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 1, 0,],
[0, 1, 1, 1, 1, 1, 0,],
[0, 0, 0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCircleWithRadius10(TestCase):
def test(self):
circle = make_circle(10)
expected = np.array([
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0,],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0,],
[0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,],
[0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0,],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0,],
[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0,],
[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateRingWithRadius10(TestCase):
def test(self):
circle = make_ring(9, 10)
expected = np.array([
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,],
[0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,],
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,],
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,],
[0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,],
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCursorWithRadius1(TestCase):
def test(self):
circle = make_circle(1)
circle = make_cursor(circle, color=(33, 66, 99))
expected = np.array([
[
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCursorWithRadius2(TestCase):
def test(self):
circle = make_circle(2)
circle = make_cursor(circle, color=(33, 66, 99))
expected = np.array([
[
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldCreateCursorWithRadius3(TestCase):
def test(self):
circle = make_circle(3)
circle = make_cursor(circle, color=(33, 66, 99))
expected = np.array([
[
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 33, 66, 99, 255,],
[ 0, 0, 0, 0,],
], [
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
[ 0, 0, 0, 0,],
],
])
self.assertTrue(np.array_equal(expected, circle))
class ShouldMakePygletCursor(TestCase):
def test(self):
circle = make_circle(3)
cursor = make_cursor(circle, color=(33, 66, 99))
mouse_cursor = pyglet_cursor(cursor)
| 38.40824
| 77
| 0.312823
| 1,653
| 10,255
| 1.921355
| 0.029038
| 0.450882
| 0.587531
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| 38.552632
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0
| 13
|
728743fa71dcd0ee430d6b5eb8107c47123dd326
| 170
|
py
|
Python
|
library/rpi_ws281x/__init__.py
|
paulhayes/rpi-ws281x-python
|
baf174dfee61b58fdb01952ff52738d89cf7616e
|
[
"BSD-2-Clause"
] | 219
|
2018-04-21T20:49:34.000Z
|
2022-03-22T18:10:37.000Z
|
library/rpi_ws281x/__init__.py
|
paulhayes/rpi-ws281x-python
|
baf174dfee61b58fdb01952ff52738d89cf7616e
|
[
"BSD-2-Clause"
] | 80
|
2018-03-20T10:42:18.000Z
|
2022-03-28T20:52:05.000Z
|
library/rpi_ws281x/__init__.py
|
paulhayes/rpi-ws281x-python
|
baf174dfee61b58fdb01952ff52738d89cf7616e
|
[
"BSD-2-Clause"
] | 83
|
2018-09-17T14:00:01.000Z
|
2022-03-23T19:30:39.000Z
|
# New canonical package, to support `import rpi_ws281x`
from .rpi_ws281x import PixelStrip, Adafruit_NeoPixel, Color, ws
from _rpi_ws281x import *
__version__ = '4.3.0'
| 28.333333
| 64
| 0.782353
| 25
| 170
| 4.96
| 0.72
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| 5
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0
| 7
|
72b60dfdbd89cfef2bbc88d4e9dafb170ab0bd16
| 12,842
|
py
|
Python
|
Account/app/mod_service/schemas.py
|
TamSzaGot/mydata-sdk
|
9c8afb75077f0b993819aa534b904501a8112f76
|
[
"MIT"
] | 4
|
2018-04-21T00:46:40.000Z
|
2019-12-03T13:52:03.000Z
|
Account/app/mod_service/schemas.py
|
TamSzaGot/mydata-sdk
|
9c8afb75077f0b993819aa534b904501a8112f76
|
[
"MIT"
] | 1
|
2019-01-09T10:45:23.000Z
|
2019-01-09T10:45:23.000Z
|
Account/app/mod_service/schemas.py
|
TamSzaGot/mydata-sdk
|
9c8afb75077f0b993819aa534b904501a8112f76
|
[
"MIT"
] | 4
|
2018-04-21T01:12:12.000Z
|
2020-09-24T06:19:29.000Z
|
# -*- coding: utf-8 -*-
"""
__author__ = "Jani Yli-Kantola"
__copyright__ = ""
__credits__ = ["Harri Hirvonsalo", "Aleksi Palomäki"]
__license__ = "MIT"
__version__ = "1.3.0"
__maintainer__ = "Jani Yli-Kantola"
__contact__ = "https://github.com/HIIT/mydata-stack"
__status__ = "Development"
"""
schema_sl_init_sink = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"properties": {
"code": {
"type": "string"
},
"data": {
"properties": {
"attributes": {
"properties": {
"pop_key": {
"properties": {
"crv": {
"type": "string"
},
"kid": {
"type": "string"
},
"kty": {
"type": "string"
},
"x": {
"type": "string"
},
"y": {
"type": "string"
}
},
"required": [
"crv",
"y",
"x",
"kid",
"kty"
],
"type": "object"
},
"slr_id": {
"type": "string"
}
},
"required": [
"slr_id",
"pop_key"
],
"type": "object"
}
},
"required": [
"attributes"
],
"type": "object"
}
},
"required": [
"code",
"data"
],
"type": "object"
}
schema_sl_init_source = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"properties": {
"code": {
"type": "string"
},
"data": {
"properties": {
"attributes": {
"properties": {
"slr_id": {
"type": "string"
}
},
"required": [
"slr_id"
],
"type": "object"
}
},
"required": [
"attributes"
],
"type": "object"
}
},
"required": [
"code",
"data"
],
"type": "object"
}
schema_sl_sign = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"properties": {
"code": {
"type": "string"
},
"data": {
"properties": {
"attributes": {
"properties": {
"iat": {
"type": "integer"
},
"link_id": {
"type": "string"
},
"operator_id": {
"type": "string"
},
"operator_key": {
"properties": {
"crv": {
"type": "string"
},
"kid": {
"type": "string"
},
"kty": {
"type": "string"
},
"x": {
"type": "string"
},
"y": {
"type": "string"
}
},
"required": [
"crv",
"y",
"x",
"kid",
"kty"
],
"type": "object"
},
"service_id": {
"type": "string"
},
"surrogate_id": {
"type": "string"
},
"version": {
"type": "string"
}
},
"required": [
"operator_id",
"surrogate_id",
"link_id",
"operator_key",
"version",
"iat",
"service_id"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"attributes",
"type"
],
"type": "object"
}
},
"required": [
"code",
"data"
],
"type": "object"
}
schema_sl_store = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"id": "http://example.com/example.json",
"properties": {
"code": {
"type": "string"
},
"data": {
"properties": {
"slr": {
"properties": {
"attributes": {
"properties": {
"payload": {
"type": "string"
},
"signatures": {
"items": {
"properties": {
"header": {
"properties": {
"kid": {
"type": "string"
}
},
"required": [
"kid"
],
"type": "object"
},
"protected": {
"type": "string"
},
"signature": {
"type": "string"
}
},
"required": [
"header",
"protected",
"signature"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"signatures",
"payload"
],
"type": "object"
},
"id": {
"type": "string"
},
"type": {
"type": "string"
}
},
"required": [
"attributes",
"type",
"id"
],
"type": "object"
},
"ssr": {
"properties": {
"attributes": {
"properties": {
"iat": {
"type": "integer"
},
"prev_record_id": {
"type": "string"
},
"record_id": {
"type": "string"
},
"sl_status": {
"type": "string"
},
"slr_id": {
"type": "string"
},
"surrogate_id": {
"type": "string"
},
"version": {
"type": "string"
}
},
"required": [
"slr_id",
"surrogate_id",
"sl_status",
"version",
"record_id",
"iat",
"prev_record_id"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"attributes",
"type"
],
"type": "object"
}
},
"required": [
"slr",
"ssr"
],
"type": "object"
}
},
"required": [
"code",
"data"
],
"type": "object"
}
schema_sls_to_sign_by_account = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"id": "http://example.com/example.json",
"properties": {
"data": {
"properties": {
"attributes": {
"properties": {
"iat": {
"type": "integer"
},
"prev_record_id": {
"type": "string"
},
"record_id": {
"type": "string"
},
"sl_status": {
"type": "string"
},
"slr_id": {
"type": "string"
},
"surrogate_id": {
"type": "string"
},
"version": {
"type": "string"
}
},
"required": [
"slr_id",
"surrogate_id",
"sl_status",
"version",
"record_id",
"iat",
"prev_record_id"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"attributes",
"type"
],
"type": "object"
}
},
"required": [
"data"
],
"type": "object"
}
schema_sls_signed_by_operator = {
"$schema": "http://json-schema.org/draft-04/schema#",
"definitions": {},
"id": "http://example.com/example.json",
"properties": {
"data": {
"properties": {
"ssr": {
"properties": {
"attributes": {
"properties": {
"header": {
"properties": {
"kid": {
"type": "string"
}
},
"required": [
"kid"
],
"type": "object"
},
"payload": {
"type": "string"
},
"protected": {
"type": "string"
},
"signature": {
"type": "string"
}
},
"required": [
"header",
"protected",
"payload",
"signature"
],
"type": "object"
},
"id": {
"type": "string"
},
"type": {
"type": "string"
}
},
"required": [
"attributes",
"type",
"id"
],
"type": "object"
},
"ssr_payload": {
"properties": {
"attributes": {
"properties": {
"iat": {
"type": "integer"
},
"prev_record_id": {
"type": "string"
},
"record_id": {
"type": "string"
},
"sl_status": {
"type": "string"
},
"slr_id": {
"type": "string"
},
"surrogate_id": {
"type": "string"
},
"version": {
"type": "string"
}
},
"required": [
"slr_id",
"surrogate_id",
"sl_status",
"version",
"record_id",
"iat",
"prev_record_id"
],
"type": "object"
}
},
"required": [
"attributes"
],
"type": "object"
}
},
"required": [
"ssr_payload",
"ssr"
],
"type": "object"
}
},
"required": [
"data"
],
"type": "object"
}
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| 57
| 0.2456
| 580
| 12,842
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0
| 7
|
72cb4e67c65f45f51e651aa3048a878bb173fd44
| 40,041
|
py
|
Python
|
vendor/github.com/containers-ai/api/alameda_api/v1alpha1/datahub/recommendations/recommendations_pb2.py
|
imhd/alameda
|
a82b009133f53bd5406b3ff371453907192d0f75
|
[
"Apache-2.0"
] | null | null | null |
vendor/github.com/containers-ai/api/alameda_api/v1alpha1/datahub/recommendations/recommendations_pb2.py
|
imhd/alameda
|
a82b009133f53bd5406b3ff371453907192d0f75
|
[
"Apache-2.0"
] | null | null | null |
vendor/github.com/containers-ai/api/alameda_api/v1alpha1/datahub/recommendations/recommendations_pb2.py
|
imhd/alameda
|
a82b009133f53bd5406b3ff371453907192d0f75
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: alameda_api/v1alpha1/datahub/recommendations/recommendations.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
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from alameda_api.v1alpha1.datahub.common import metrics_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2
from alameda_api.v1alpha1.datahub.common import rawdata_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_rawdata__pb2
from alameda_api.v1alpha1.datahub.common import types_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_types__pb2
from alameda_api.v1alpha1.datahub.resources import metadata_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2
from alameda_api.v1alpha1.datahub.resources import policies_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_policies__pb2
from alameda_api.v1alpha1.datahub.resources import resources_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_resources__pb2
from alameda_api.v1alpha1.datahub.recommendations import types_pb2 as alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2
from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='alameda_api/v1alpha1/datahub/recommendations/recommendations.proto',
package='containersai.alameda.v1alpha1.datahub.recommendations',
syntax='proto3',
serialized_options=_b('ZIgithub.com/containers-ai/api/alameda_api/v1alpha1/datahub/recommendations'),
serialized_pb=_b('\nBalameda_api/v1alpha1/datahub/recommendations/recommendations.proto\x12\x35\x63ontainersai.alameda.v1alpha1.datahub.recommendations\x1a\x31\x61lameda_api/v1alpha1/datahub/common/metrics.proto\x1a\x31\x61lameda_api/v1alpha1/datahub/common/rawdata.proto\x1a/alameda_api/v1alpha1/datahub/common/types.proto\x1a\x35\x61lameda_api/v1alpha1/datahub/resources/metadata.proto\x1a\x35\x61lameda_api/v1alpha1/datahub/resources/policies.proto\x1a\x36\x61lameda_api/v1alpha1/datahub/resources/resources.proto\x1a\x38\x61lameda_api/v1alpha1/datahub/recommendations/types.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\x9f\x03\n\x17\x43ontainerRecommendation\x12\x0c\n\x04name\x18\x01 \x01(\t\x12W\n\x15limit_recommendations\x18\x02 \x03(\x0b\x32\x38.containersai.alameda.v1alpha1.datahub.common.MetricData\x12Y\n\x17request_recommendations\x18\x03 \x03(\x0b\x32\x38.containersai.alameda.v1alpha1.datahub.common.MetricData\x12_\n\x1dinitial_limit_recommendations\x18\x04 \x03(\x0b\x32\x38.containersai.alameda.v1alpha1.datahub.common.MetricData\x12\x61\n\x1finitial_request_recommendations\x18\x05 \x03(\x0b\x32\x38.containersai.alameda.v1alpha1.datahub.common.MetricData\"\xb9\x04\n\x11PodRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12 \n\x18\x61pply_recommendation_now\x18\x02 \x01(\x08\x12[\n\x11\x61ssign_pod_policy\x18\x03 \x01(\x0b\x32@.containersai.alameda.v1alpha1.datahub.resources.AssignPodPolicy\x12q\n\x19\x63ontainer_recommendations\x18\x04 \x03(\x0b\x32N.containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation\x12.\n\nstart_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12,\n\x08\x65nd_time\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12S\n\x0etop_controller\x18\x07 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.Controller\x12\x19\n\x11recommendation_id\x18\x08 \x01(\t\x12\x12\n\ntotal_cost\x18\t \x01(\x01\"\xfc\x03\n\x18\x43ontrollerRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12\x43\n\x04kind\x18\x02 \x01(\x0e\x32\x35.containersai.alameda.v1alpha1.datahub.resources.Kind\x12j\n\x10recommended_type\x18\x03 \x01(\x0e\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedType\x12j\n\x10recommended_spec\x18\x04 \x01(\x0b\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpec\x12q\n\x14recommended_spec_k8s\x18\x05 \x01(\x0b\x32S.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpecK8s\"\xfd\x03\n\x19\x41pplicationRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12\x43\n\x04kind\x18\x02 \x01(\x0e\x32\x35.containersai.alameda.v1alpha1.datahub.resources.Kind\x12j\n\x10recommended_type\x18\x03 \x01(\x0e\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedType\x12j\n\x10recommended_spec\x18\x04 \x01(\x0b\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpec\x12q\n\x14recommended_spec_k8s\x18\x05 \x01(\x0b\x32S.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpecK8s\"\xfb\x03\n\x17NamespaceRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12\x43\n\x04kind\x18\x02 \x01(\x0e\x32\x35.containersai.alameda.v1alpha1.datahub.resources.Kind\x12j\n\x10recommended_type\x18\x03 \x01(\x0e\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedType\x12j\n\x10recommended_spec\x18\x04 \x01(\x0b\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpec\x12q\n\x14recommended_spec_k8s\x18\x05 \x01(\x0b\x32S.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpecK8s\"\xf6\x03\n\x12NodeRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12\x43\n\x04kind\x18\x02 \x01(\x0e\x32\x35.containersai.alameda.v1alpha1.datahub.resources.Kind\x12j\n\x10recommended_type\x18\x03 \x01(\x0e\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedType\x12j\n\x10recommended_spec\x18\x04 \x01(\x0b\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpec\x12q\n\x14recommended_spec_k8s\x18\x05 \x01(\x0b\x32S.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpecK8s\"\xf9\x03\n\x15\x43lusterRecommendation\x12P\n\x0bobject_meta\x18\x01 \x01(\x0b\x32;.containersai.alameda.v1alpha1.datahub.resources.ObjectMeta\x12\x43\n\x04kind\x18\x02 \x01(\x0e\x32\x35.containersai.alameda.v1alpha1.datahub.resources.Kind\x12j\n\x10recommended_type\x18\x03 \x01(\x0e\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedType\x12j\n\x10recommended_spec\x18\x04 \x01(\x0b\x32P.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpec\x12q\n\x14recommended_spec_k8s\x18\x05 \x01(\x0b\x32S.containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendedSpecK8s\"\x86\x02\n\x13WriteRecommendation\x12M\n\x0bmetric_type\x18\x01 \x01(\x0e\x32\x38.containersai.alameda.v1alpha1.datahub.common.MetricType\x12S\n\x0eresource_quota\x18\x02 \x01(\x0e\x32;.containersai.alameda.v1alpha1.datahub.common.ResourceQuota\x12K\n\nwrite_data\x18\x03 \x01(\x0b\x32\x37.containersai.alameda.v1alpha1.datahub.common.WriteDataBKZIgithub.com/containers-ai/api/alameda_api/v1alpha1/datahub/recommendationsb\x06proto3')
,
dependencies=[alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_rawdata__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_types__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_policies__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_resources__pb2.DESCRIPTOR,alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])
_CONTAINERRECOMMENDATION = _descriptor.Descriptor(
name='ContainerRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='limit_recommendations', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation.limit_recommendations', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='request_recommendations', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation.request_recommendations', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='initial_limit_recommendations', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation.initial_limit_recommendations', index=3,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='initial_request_recommendations', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation.initial_request_recommendations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=534,
serialized_end=949,
)
_PODRECOMMENDATION = _descriptor.Descriptor(
name='PodRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='apply_recommendation_now', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.apply_recommendation_now', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='assign_pod_policy', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.assign_pod_policy', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='container_recommendations', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.container_recommendations', index=3,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='start_time', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.start_time', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='end_time', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.end_time', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top_controller', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.top_controller', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommendation_id', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.recommendation_id', index=7,
number=8, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='total_cost', full_name='containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation.total_cost', index=8,
number=9, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=952,
serialized_end=1521,
)
_CONTROLLERRECOMMENDATION = _descriptor.Descriptor(
name='ControllerRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='kind', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation.kind', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation.recommended_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation.recommended_spec', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec_k8s', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation.recommended_spec_k8s', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=1524,
serialized_end=2032,
)
_APPLICATIONRECOMMENDATION = _descriptor.Descriptor(
name='ApplicationRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='kind', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation.kind', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation.recommended_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation.recommended_spec', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec_k8s', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation.recommended_spec_k8s', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=2035,
serialized_end=2544,
)
_NAMESPACERECOMMENDATION = _descriptor.Descriptor(
name='NamespaceRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='kind', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation.kind', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation.recommended_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation.recommended_spec', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec_k8s', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation.recommended_spec_k8s', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=2547,
serialized_end=3054,
)
_NODERECOMMENDATION = _descriptor.Descriptor(
name='NodeRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='kind', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation.kind', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation.recommended_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation.recommended_spec', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec_k8s', full_name='containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation.recommended_spec_k8s', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=3057,
serialized_end=3559,
)
_CLUSTERRECOMMENDATION = _descriptor.Descriptor(
name='ClusterRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='object_meta', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation.object_meta', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='kind', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation.kind', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation.recommended_type', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation.recommended_spec', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='recommended_spec_k8s', full_name='containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation.recommended_spec_k8s', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=3562,
serialized_end=4067,
)
_WRITERECOMMENDATION = _descriptor.Descriptor(
name='WriteRecommendation',
full_name='containersai.alameda.v1alpha1.datahub.recommendations.WriteRecommendation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='metric_type', full_name='containersai.alameda.v1alpha1.datahub.recommendations.WriteRecommendation.metric_type', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='resource_quota', full_name='containersai.alameda.v1alpha1.datahub.recommendations.WriteRecommendation.resource_quota', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='write_data', full_name='containersai.alameda.v1alpha1.datahub.recommendations.WriteRecommendation.write_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=4070,
serialized_end=4332,
)
_CONTAINERRECOMMENDATION.fields_by_name['limit_recommendations'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2._METRICDATA
_CONTAINERRECOMMENDATION.fields_by_name['request_recommendations'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2._METRICDATA
_CONTAINERRECOMMENDATION.fields_by_name['initial_limit_recommendations'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2._METRICDATA
_CONTAINERRECOMMENDATION.fields_by_name['initial_request_recommendations'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2._METRICDATA
_PODRECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_PODRECOMMENDATION.fields_by_name['assign_pod_policy'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_policies__pb2._ASSIGNPODPOLICY
_PODRECOMMENDATION.fields_by_name['container_recommendations'].message_type = _CONTAINERRECOMMENDATION
_PODRECOMMENDATION.fields_by_name['start_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
_PODRECOMMENDATION.fields_by_name['end_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
_PODRECOMMENDATION.fields_by_name['top_controller'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_resources__pb2._CONTROLLER
_CONTROLLERRECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_CONTROLLERRECOMMENDATION.fields_by_name['kind'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._KIND
_CONTROLLERRECOMMENDATION.fields_by_name['recommended_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDTYPE
_CONTROLLERRECOMMENDATION.fields_by_name['recommended_spec'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPEC
_CONTROLLERRECOMMENDATION.fields_by_name['recommended_spec_k8s'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPECK8S
_APPLICATIONRECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_APPLICATIONRECOMMENDATION.fields_by_name['kind'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._KIND
_APPLICATIONRECOMMENDATION.fields_by_name['recommended_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDTYPE
_APPLICATIONRECOMMENDATION.fields_by_name['recommended_spec'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPEC
_APPLICATIONRECOMMENDATION.fields_by_name['recommended_spec_k8s'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPECK8S
_NAMESPACERECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_NAMESPACERECOMMENDATION.fields_by_name['kind'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._KIND
_NAMESPACERECOMMENDATION.fields_by_name['recommended_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDTYPE
_NAMESPACERECOMMENDATION.fields_by_name['recommended_spec'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPEC
_NAMESPACERECOMMENDATION.fields_by_name['recommended_spec_k8s'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPECK8S
_NODERECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_NODERECOMMENDATION.fields_by_name['kind'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._KIND
_NODERECOMMENDATION.fields_by_name['recommended_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDTYPE
_NODERECOMMENDATION.fields_by_name['recommended_spec'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPEC
_NODERECOMMENDATION.fields_by_name['recommended_spec_k8s'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPECK8S
_CLUSTERRECOMMENDATION.fields_by_name['object_meta'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._OBJECTMETA
_CLUSTERRECOMMENDATION.fields_by_name['kind'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_resources_dot_metadata__pb2._KIND
_CLUSTERRECOMMENDATION.fields_by_name['recommended_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDTYPE
_CLUSTERRECOMMENDATION.fields_by_name['recommended_spec'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPEC
_CLUSTERRECOMMENDATION.fields_by_name['recommended_spec_k8s'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_recommendations_dot_types__pb2._CONTROLLERRECOMMENDEDSPECK8S
_WRITERECOMMENDATION.fields_by_name['metric_type'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_metrics__pb2._METRICTYPE
_WRITERECOMMENDATION.fields_by_name['resource_quota'].enum_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_types__pb2._RESOURCEQUOTA
_WRITERECOMMENDATION.fields_by_name['write_data'].message_type = alameda__api_dot_v1alpha1_dot_datahub_dot_common_dot_rawdata__pb2._WRITEDATA
DESCRIPTOR.message_types_by_name['ContainerRecommendation'] = _CONTAINERRECOMMENDATION
DESCRIPTOR.message_types_by_name['PodRecommendation'] = _PODRECOMMENDATION
DESCRIPTOR.message_types_by_name['ControllerRecommendation'] = _CONTROLLERRECOMMENDATION
DESCRIPTOR.message_types_by_name['ApplicationRecommendation'] = _APPLICATIONRECOMMENDATION
DESCRIPTOR.message_types_by_name['NamespaceRecommendation'] = _NAMESPACERECOMMENDATION
DESCRIPTOR.message_types_by_name['NodeRecommendation'] = _NODERECOMMENDATION
DESCRIPTOR.message_types_by_name['ClusterRecommendation'] = _CLUSTERRECOMMENDATION
DESCRIPTOR.message_types_by_name['WriteRecommendation'] = _WRITERECOMMENDATION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
ContainerRecommendation = _reflection.GeneratedProtocolMessageType('ContainerRecommendation', (_message.Message,), {
'DESCRIPTOR' : _CONTAINERRECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.ContainerRecommendation)
})
_sym_db.RegisterMessage(ContainerRecommendation)
PodRecommendation = _reflection.GeneratedProtocolMessageType('PodRecommendation', (_message.Message,), {
'DESCRIPTOR' : _PODRECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.PodRecommendation)
})
_sym_db.RegisterMessage(PodRecommendation)
ControllerRecommendation = _reflection.GeneratedProtocolMessageType('ControllerRecommendation', (_message.Message,), {
'DESCRIPTOR' : _CONTROLLERRECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.ControllerRecommendation)
})
_sym_db.RegisterMessage(ControllerRecommendation)
ApplicationRecommendation = _reflection.GeneratedProtocolMessageType('ApplicationRecommendation', (_message.Message,), {
'DESCRIPTOR' : _APPLICATIONRECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.ApplicationRecommendation)
})
_sym_db.RegisterMessage(ApplicationRecommendation)
NamespaceRecommendation = _reflection.GeneratedProtocolMessageType('NamespaceRecommendation', (_message.Message,), {
'DESCRIPTOR' : _NAMESPACERECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.NamespaceRecommendation)
})
_sym_db.RegisterMessage(NamespaceRecommendation)
NodeRecommendation = _reflection.GeneratedProtocolMessageType('NodeRecommendation', (_message.Message,), {
'DESCRIPTOR' : _NODERECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.NodeRecommendation)
})
_sym_db.RegisterMessage(NodeRecommendation)
ClusterRecommendation = _reflection.GeneratedProtocolMessageType('ClusterRecommendation', (_message.Message,), {
'DESCRIPTOR' : _CLUSTERRECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.ClusterRecommendation)
})
_sym_db.RegisterMessage(ClusterRecommendation)
WriteRecommendation = _reflection.GeneratedProtocolMessageType('WriteRecommendation', (_message.Message,), {
'DESCRIPTOR' : _WRITERECOMMENDATION,
'__module__' : 'alameda_api.v1alpha1.datahub.recommendations.recommendations_pb2'
# @@protoc_insertion_point(class_scope:containersai.alameda.v1alpha1.datahub.recommendations.WriteRecommendation)
})
_sym_db.RegisterMessage(WriteRecommendation)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
| 63.557143
| 5,593
| 0.81454
| 4,752
| 40,041
| 6.491162
| 0.054082
| 0.034753
| 0.068469
| 0.104714
| 0.835538
| 0.812812
| 0.795111
| 0.780879
| 0.709427
| 0.700447
| 0
| 0.039945
| 0.085937
| 40,041
| 629
| 5,594
| 63.658188
| 0.802842
| 0.028471
| 0
| 0.662651
| 1
| 0.001721
| 0.323913
| 0.289814
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.022375
| 0
| 0.022375
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 1
| 1
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|
0
| 8
|
72dc317a3aeadc0ea5274238f1d61855344e5c23
| 65,531
|
py
|
Python
|
tests/adapters/switches/remote_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | null | null | null |
tests/adapters/switches/remote_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | null | null | null |
tests/adapters/switches/remote_test.py
|
FrancoisLopez/netman
|
a40d3235f7ea0cdaf52daab97b0d5ad20857b00e
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2015 Internap.
#
# 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 json
import unittest
from hamcrest import assert_that, equal_to, is_, instance_of
import mock
from ncclient.operations import RPCError
from netaddr import IPAddress, IPNetwork
from flexmock import flexmock, flexmock_teardown
from netman.core.objects.interface_states import OFF, ON
from tests import ExactIpNetwork, ignore_deprecation_warnings
from tests.api import open_fixture
from netman.adapters.switches.remote import RemoteSwitch, factory
from netman.core.objects.access_groups import IN, OUT
from netman.core.objects.exceptions import UnknownBond, VlanAlreadyExist, BadBondLinkSpeed, LockedSwitch, \
NetmanException, UnknownInterface, UnknownSession, UnknownVlan, BadMplsIpState
from netman.core.objects.port_modes import ACCESS, TRUNK, DYNAMIC
from netman.core.objects.switch_descriptor import SwitchDescriptor
class AnException(Exception):
pass
@ignore_deprecation_warnings
def test_factory():
switch = factory(SwitchDescriptor(hostname='hostname', model='juniper', username='username', password='password', port=22))
assert_that(switch, instance_of(RemoteSwitch))
assert_that(switch.switch_descriptor.hostname, equal_to("hostname"))
assert_that(switch.switch_descriptor.model, equal_to("juniper"))
assert_that(switch.switch_descriptor.username, equal_to("username"))
assert_that(switch.switch_descriptor.password, equal_to("password"))
assert_that(switch.switch_descriptor.port, equal_to(22))
class RemoteSwitchTest(unittest.TestCase):
netman_url = 'http://netman.example.org:1234'
def setUp(self):
self.switch = RemoteSwitch(SwitchDescriptor(
model="juniper", hostname="toto", username="tutu",
password="titi", port=1234, netman_server=self.netman_url))
self.requests_mock = flexmock()
self.switch.requests = self.requests_mock
self.headers = {
'Netman-Port': "1234",
'Netman-Model': 'juniper',
'Netman-Password': 'titi',
'Netman-Username': 'tutu',
'Netman-Max-Version': "2",
'Netman-Verbose-Errors': 'yes',
}
def tearDown(self):
flexmock_teardown()
def test_switch_has_a_logger_configured_with_the_switch_name(self):
assert_that(self.switch.logger.name, is_(RemoteSwitch.__module__ + ".toto"))
@mock.patch('uuid.uuid4')
def test_start_then_commit_returns_to_normal_behavior(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/actions',
data='start_transaction',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/actions',
data='commit',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/actions',
data='end_transaction',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.switch.connect()
self.switch.start_transaction()
self.switch.commit_transaction()
self.switch.end_transaction()
self.switch.disconnect()
self.setUp()
self.test_add_bond()
@mock.patch('uuid.uuid4')
def test_connect_fails_to_obtain_a_session(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": AnException.__module__,
"error-class": AnException.__name__
}),
status_code=500))
with self.assertRaises(AnException):
self.switch.connect()
@mock.patch('uuid.uuid4')
def test_disconnect_fails_and_return_to_normal_behavior(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": AnException.__module__,
"error-class": AnException.__name__
}),
status_code=500))
self.switch.connect()
with self.assertRaises(AnException):
self.switch.disconnect()
self.setUp()
self.test_add_bond()
@mock.patch('uuid.uuid4')
def test_session_is_used_when_we_are_in_a_session(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/bonds',
headers=self.headers,
data=JsonData(number=6)
).and_return(
Reply(
content='',
status_code=201))
self.switch.connect()
self.switch.add_bond(6)
@mock.patch('uuid.uuid4')
def test_commit_transaction_fails_to_commit(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/actions',
data='commit',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": AnException.__module__,
"error-class": AnException.__name__
}),
status_code=500))
self.switch.connect()
with self.assertRaises(AnException):
self.switch.commit_transaction()
@mock.patch('uuid.uuid4')
def test_rollback_transaction_fails_to_rollback(self, m_uuid):
m_uuid.return_value = '0123456789'
self.headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().ordered().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=self.headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("post").once().ordered().with_args(
url=self.netman_url+'/switches-sessions/0123456789/actions',
data='rollback',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": AnException.__module__,
"error-class": AnException.__name__
}),
status_code=500))
self.switch.connect()
with self.assertRaises(AnException):
self.switch.rollback_transaction()
@mock.patch('uuid.uuid4')
def test_receiving_unknown_session_during_transaction_will_connect_again(self, m_uuid):
m_uuid.return_value = '0123456789'
first_connect_headers = self.headers.copy()
first_connect_headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=first_connect_headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.switch.connect()
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/bonds',
headers=first_connect_headers,
data=JsonData(number=6)
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": UnknownSession.__module__,
"error-class": UnknownSession.__name__
}),
status_code=500))
m_uuid.return_value = 'new-session-id'
second_connect_headers = self.headers.copy()
second_connect_headers['Netman-Session-Id'] = 'new-session-id'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/new-session-id',
headers=second_connect_headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': 'new-session-id'}),
status_code=201))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/new-session-id/bonds',
headers=second_connect_headers,
data=JsonData(number=6)
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_bond(6)
@mock.patch('uuid.uuid4')
def test_receiving_unknown_session_twice_during_transaction_will_raise_an_exception(self, m_uuid):
m_uuid.return_value = '0123456789'
first_connect_headers = self.headers.copy()
first_connect_headers['Netman-Session-Id'] = '0123456789'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers=first_connect_headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.switch.connect()
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789/bonds',
headers=first_connect_headers,
data=JsonData(number=6)
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": UnknownSession.__module__,
"error-class": UnknownSession.__name__
}),
status_code=500))
m_uuid.return_value = 'new-session-id'
second_connect_headers = self.headers.copy()
second_connect_headers['Netman-Session-Id'] = 'new-session-id'
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/new-session-id',
headers=second_connect_headers,
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': 'new-session-id'}),
status_code=201))
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches-sessions/new-session-id/bonds',
headers=second_connect_headers,
data=JsonData(number=6)
).and_return(
Reply(
content=json.dumps({
"error": "",
"error-module": UnknownSession.__module__,
"error-class": UnknownSession.__name__
}),
status_code=500))
with self.assertRaises(UnknownSession):
self.switch.add_bond(6)
@mock.patch('uuid.uuid4')
def test_multi_proxy_1(self, m_uuid):
self.switch = RemoteSwitch(SwitchDescriptor(
model="juniper", hostname="toto", username="tutu",
password="titi", port=1234, netman_server=[self.netman_url, "1.2.3.4"]))
self.requests_mock = flexmock()
self.switch.requests = self.requests_mock
m_uuid.return_value = '0123456789'
self.requests_mock.should_receive("post").once().ordered().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={
'Netman-Port': "1234",
'Netman-Model': 'juniper',
'Netman-Password': 'titi',
'Netman-Username': 'tutu',
'Netman-Verbose-Errors': 'yes',
'Netman-Proxy-Server': '1.2.3.4',
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'
},
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.switch.connect()
self.switch.disconnect()
self.setUp()
self.test_add_bond()
@mock.patch('uuid.uuid4')
def test_multi_proxy_few(self, m_uuid):
self.switch = RemoteSwitch(SwitchDescriptor(
model="juniper", hostname="toto", username="tutu",
password="titi", port=1234, netman_server=[self.netman_url, "1.2.3.4", "5.6.7.8"]))
self.requests_mock = flexmock()
self.switch.requests = self.requests_mock
m_uuid.return_value = '0123456789'
self.requests_mock.should_receive("post").once().ordered().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={
'Netman-Port': "1234",
'Netman-Model': 'juniper',
'Netman-Password': 'titi',
'Netman-Username': 'tutu',
'Netman-Verbose-Errors': 'yes',
'Netman-Proxy-Server': '1.2.3.4,5.6.7.8',
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'
},
data=JsonData(hostname="toto")
).and_return(
Reply(
content=json.dumps({'session_id': '0123456789'}),
status_code=201))
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches-sessions/0123456789',
headers={'Netman-Verbose-Errors': "yes",
'Netman-Max-Version': "2",
'Netman-Session-Id': '0123456789'}
).and_return(
Reply(
content="",
status_code=204))
self.switch.connect()
self.switch.disconnect()
self.setUp()
self.test_add_bond()
def test_get_vlan(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/vlans/1',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_vlans_vlan.json').read(),
status_code=200))
vlan1 = self.switch.get_vlan(1)
assert_that(vlan1.number, is_(1))
assert_that(vlan1.name, is_('One'))
assert_that(vlan1.ips, is_([ExactIpNetwork('1.1.1.1', 24)]))
assert_that(vlan1.vrf_forwarding, is_("MY_VRF"))
assert_that(vlan1.access_groups[IN], is_("Blah_blah"))
assert_that(vlan1.access_groups[OUT], is_(None))
assert_that(vlan1.dhcp_relay_servers, is_([]))
vrrp_group = vlan1.vrrp_groups[0]
assert_that(vrrp_group.id, is_(1))
assert_that(vrrp_group.ips, is_([IPAddress("1.1.1.2")]))
assert_that(vrrp_group.priority, is_(90))
assert_that(vrrp_group.hello_interval, is_(5))
assert_that(vrrp_group.dead_interval, is_(15))
assert_that(vrrp_group.track_id, is_("101"))
assert_that(vrrp_group.track_decrement, is_(50))
assert_that(vlan1.varp_ips, is_([]))
def test_get_vlans(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/vlans',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_vlans.json').read(),
status_code=200))
vlan1, vlan2 = self.switch.get_vlans()
assert_that(vlan1.number, is_(1))
assert_that(vlan1.name, is_('One'))
assert_that(vlan1.ips, is_([ExactIpNetwork('1.1.1.1', 24)]))
assert_that(vlan1.vrf_forwarding, is_("MY_VRF"))
assert_that(vlan1.access_groups[IN], is_("Blah_blah"))
assert_that(vlan1.access_groups[OUT], is_(None))
assert_that(vlan1.dhcp_relay_servers, is_([]))
vrrp_group = vlan1.vrrp_groups[0]
assert_that(vrrp_group.id, is_(1))
assert_that(vrrp_group.ips, is_([IPAddress("1.1.1.2")]))
assert_that(vrrp_group.priority, is_(90))
assert_that(vrrp_group.hello_interval, is_(5))
assert_that(vrrp_group.dead_interval, is_(15))
assert_that(vrrp_group.track_id, is_("101"))
assert_that(vrrp_group.track_decrement, is_(50))
assert_that(vlan1.varp_ips, is_([IPNetwork('3.3.3.3/24')]))
assert_that(vlan2.number, is_(2))
assert_that(vlan2.name, is_(''))
assert_that(vlan2.ips, is_([ExactIpNetwork('2.2.2.2', 24), ExactIpNetwork('3.3.3.3', 24)]))
assert_that(vlan2.vrf_forwarding, is_(None))
assert_that(vlan2.access_groups[IN], is_(None))
assert_that(vlan2.access_groups[OUT], is_(None))
assert_that(vlan2.dhcp_relay_servers, is_([IPAddress("10.10.10.1")]))
vrrp_group1, vrrp_group2 = vlan2.vrrp_groups
assert_that(vrrp_group1.id, is_(1))
assert_that(vrrp_group1.ips, is_([IPAddress("2.2.2.2")]))
assert_that(vrrp_group1.priority, is_(100))
assert_that(vrrp_group1.hello_interval, is_(None))
assert_that(vrrp_group1.dead_interval, is_(None))
assert_that(vrrp_group1.track_id, is_(None))
assert_that(vrrp_group1.track_decrement, is_(None))
assert_that(vrrp_group2.id, is_(2))
assert_that(vrrp_group2.ips, is_([IPAddress("3.3.3.1")]))
assert_that(vrrp_group2.priority, is_(100))
assert_that(vlan2.varp_ips, is_([IPNetwork('4.4.4.4/24'), IPNetwork('5.5.5.5/24')]))
def test_get_vlan_interfaces(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/vlans/1/interfaces',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_vlans_vlan_interfaces.json').read(),
status_code=200)
)
interfaces = self.switch.get_vlan_interfaces(1)
assert_that(interfaces, is_(["ethernet 1/4", "FastEthernet0/3", "GigabitEthernet0/8"]))
def test_get_vlan_interfaces_with_no_vlan_raises(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/vlans/4000/interfaces',
headers=self.headers
).and_return(
Reply(
content=json.dumps({
"error": "Vlan 4000 not found",
"error-module": UnknownVlan.__module__,
"error-class": UnknownVlan.__name__
}),
status_code=404))
with self.assertRaises(UnknownVlan) as expect:
self.switch.get_vlan_interfaces('4000')
assert_that(str(expect.exception), equal_to("Vlan 4000 not found"))
def test_get_interface(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ethernet 1/4',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_interface.json').read(),
status_code=200))
interface = self.switch.get_interface('ethernet 1/4')
assert_that(interface.name, equal_to("ethernet 1/4"))
assert_that(interface.shutdown, equal_to(False))
assert_that(interface.port_mode, equal_to(TRUNK))
assert_that(interface.access_vlan, equal_to(None))
assert_that(interface.trunk_native_vlan, equal_to(2999))
assert_that(interface.trunk_vlans, equal_to([3000, 3001, 3002]))
def test_get_nonexistent_interface_raises(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ethernet 1/INEXISTENT',
headers=self.headers
).and_return(
Reply(
content=json.dumps({
"error": "Interface ethernet 1/INEXISTENT not found",
"error-module": UnknownInterface.__module__,
"error-class": UnknownInterface.__name__
}),
status_code=404))
with self.assertRaises(UnknownInterface) as expect:
self.switch.get_interface('ethernet 1/INEXISTENT')
assert_that(str(expect.exception), equal_to("Interface ethernet 1/INEXISTENT not found"))
def test_get_interfaces(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/interfaces',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_interfaces.json').read(),
status_code=200))
if1, if2, if3, if4 = self.switch.get_interfaces()
assert_that(if1.name, equal_to("ethernet 1/4"))
assert_that(if1.shutdown, equal_to(False))
assert_that(if1.port_mode, equal_to(TRUNK))
assert_that(if1.access_vlan, equal_to(None))
assert_that(if1.trunk_native_vlan, equal_to(2999))
assert_that(if1.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if2.name, equal_to("FastEthernet0/3"))
assert_that(if2.shutdown, equal_to(True))
assert_that(if2.port_mode, equal_to(ACCESS))
assert_that(if2.access_vlan, equal_to(1999))
assert_that(if2.trunk_native_vlan, equal_to(None))
assert_that(if2.trunk_vlans, equal_to([]))
assert_that(if3.name, equal_to("GigabitEthernet0/6"))
assert_that(if3.port_mode, equal_to(DYNAMIC))
assert_that(if3.access_vlan, equal_to(1999))
assert_that(if3.trunk_native_vlan, equal_to(2999))
assert_that(if3.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if4.name, equal_to("GigabitEthernet0/8"))
assert_that(if4.shutdown, equal_to(False))
assert_that(if4.bond_master, equal_to(12))
@ignore_deprecation_warnings
def test_get_bond_v1(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/bonds/3',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_bond_v1.json').read(),
status_code=200))
if1 = self.switch.get_bond(3)
assert_that(if1.number, equal_to(3))
assert_that(if1.link_speed, equal_to('1g'))
assert_that(if1.interface.name, equal_to(None))
assert_that(if1.interface.shutdown, equal_to(True))
assert_that(if1.interface.port_mode, equal_to(ACCESS))
assert_that(if1.interface.access_vlan, equal_to(1999))
assert_that(if1.interface.trunk_native_vlan, equal_to(None))
assert_that(if1.interface.trunk_vlans, equal_to([]))
assert_that(if1.members, equal_to([]))
def test_get_bond_v2(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/bonds/3',
headers=self.headers
).and_return(
Reply(
headers={'Netman-Version': '2'},
content=open_fixture('get_switch_hostname_bond_v2.json').read(),
status_code=200))
if1 = self.switch.get_bond(3)
assert_that(if1.number, equal_to(3))
assert_that(if1.link_speed, equal_to('1g'))
assert_that(if1.shutdown, equal_to(True))
assert_that(if1.port_mode, equal_to(ACCESS))
assert_that(if1.access_vlan, equal_to(1999))
assert_that(if1.trunk_native_vlan, equal_to(None))
assert_that(if1.trunk_vlans, equal_to([]))
assert_that(if1.members, equal_to([]))
def test_get_bonds_v1(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/bonds',
headers=self.headers
).and_return(
Reply(
content=open_fixture('get_switch_hostname_bonds_v1.json').read(),
status_code=200))
if1, if2, if3 = self.switch.get_bonds()
assert_that(if1.number, equal_to(3))
assert_that(if1.link_speed, equal_to('1g'))
assert_that(if1.interface.name, equal_to(None))
assert_that(if1.interface.shutdown, equal_to(True))
assert_that(if1.interface.port_mode, equal_to(ACCESS))
assert_that(if1.interface.access_vlan, equal_to(1999))
assert_that(if1.interface.trunk_native_vlan, equal_to(None))
assert_that(if1.interface.trunk_vlans, equal_to([]))
assert_that(if1.members, equal_to([]))
assert_that(if2.number, equal_to(4))
assert_that(if2.members, equal_to(["ge-0/0/1", "ge-1/0/1"]))
assert_that(if2.interface.name, equal_to(None))
assert_that(if2.interface.shutdown, equal_to(False))
assert_that(if2.interface.port_mode, equal_to(TRUNK))
assert_that(if2.interface.access_vlan, equal_to(None))
assert_that(if2.interface.trunk_native_vlan, equal_to(2999))
assert_that(if2.interface.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if3.number, equal_to(6))
assert_that(if3.link_speed, equal_to('10g'))
assert_that(if3.interface.name, equal_to(None))
assert_that(if3.interface.shutdown, equal_to(False))
assert_that(if3.interface.port_mode, equal_to(DYNAMIC))
assert_that(if3.interface.access_vlan, equal_to(1999))
assert_that(if3.interface.trunk_native_vlan, equal_to(2999))
assert_that(if3.interface.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if3.members, equal_to([]))
def test_get_bonds_v2(self):
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/bonds',
headers=self.headers
).and_return(
Reply(
headers={'Netman-Version': '2'},
content=open_fixture('get_switch_hostname_bonds_v2.json').read(),
status_code=200))
if1, if2, if3 = self.switch.get_bonds()
assert_that(if1.number, equal_to(3))
assert_that(if1.link_speed, equal_to('1g'))
assert_that(if1.shutdown, equal_to(True))
assert_that(if1.port_mode, equal_to(ACCESS))
assert_that(if1.access_vlan, equal_to(1999))
assert_that(if1.trunk_native_vlan, equal_to(None))
assert_that(if1.trunk_vlans, equal_to([]))
assert_that(if1.members, equal_to([]))
assert_that(if2.number, equal_to(4))
assert_that(if2.members, equal_to(["ge-0/0/1", "ge-1/0/1"]))
assert_that(if2.shutdown, equal_to(False))
assert_that(if2.port_mode, equal_to(TRUNK))
assert_that(if2.access_vlan, equal_to(None))
assert_that(if2.trunk_native_vlan, equal_to(2999))
assert_that(if2.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if2.members, equal_to(['ge-0/0/1', 'ge-1/0/1']))
assert_that(if3.number, equal_to(6))
assert_that(if3.link_speed, equal_to('10g'))
assert_that(if3.shutdown, equal_to(False))
assert_that(if3.port_mode, equal_to(DYNAMIC))
assert_that(if3.access_vlan, equal_to(1999))
assert_that(if3.trunk_native_vlan, equal_to(2999))
assert_that(if3.trunk_vlans, equal_to([3000, 3001, 3002]))
assert_that(if3.members, equal_to([]))
def test_add_vlan(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans',
headers=self.headers,
data=JsonData(number=2000, name="deux-milles")
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_vlan(2000, name="deux-milles")
def test_add_vlan_without_a_name(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans',
headers=self.headers,
data=JsonData(number=2000)
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_vlan(2000)
def test_add_vlan_already_exist(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans',
headers=self.headers,
data=JsonData(number=2000, name="deux-milles")
).and_return(
Reply(
content=json.dumps({
"error": "Vlan 2000 already exists",
"error-module": VlanAlreadyExist.__module__,
"error-class": VlanAlreadyExist.__name__
}),
status_code=409))
with self.assertRaises(VlanAlreadyExist) as expect:
self.switch.add_vlan(2000, name="deux-milles")
assert_that(str(expect.exception), equal_to("Vlan 2000 already exists"))
def test_remove_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000',
headers=self.headers,
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_vlan(2000)
def test_put_access_groups_in(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/access-groups/in',
headers=self.headers,
data='spaceless-string'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_access_group(2500, IN, "spaceless-string")
def test_put_access_groups_out(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/access-groups/out',
headers=self.headers,
data='spaceless-string'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_access_group(2500, OUT, "spaceless-string")
def test_remove_access_groups_in(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/access-groups/in',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_vlan_access_group(2500, IN)
def test_remove_access_groups_out(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/access-groups/out',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_vlan_access_group(2500, OUT)
def test_add_ip_to_vlan(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/ips',
headers=self.headers,
data="1.2.3.4/25"
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_ip_to_vlan(2500, ExactIpNetwork("1.2.3.4", 25))
def test_remove_ip(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/ips/1.2.3.4/25',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_ip_from_vlan(2500, ExactIpNetwork("1.2.3.4", 25))
def test_set_vlan_vrf(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/vrf-forwarding',
headers=self.headers,
data="DEFAULT_LAN"
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_vrf(2500, "DEFAULT_LAN")
def test_unset_vlan_vrf(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2500/vrf-forwarding',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_vlan_vrf(2500)
def test_port_mode_access(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/port-mode',
headers=self.headers,
data='access'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_access_mode("ge-0/0/6")
def test_port_mode_trunk(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/port-mode',
headers=self.headers,
data='trunk'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_trunk_mode("ge-0/0/6")
def test_bond_port_mode_access(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/port-mode',
headers=self.headers,
data='access'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_access_mode(123)
def test_bond_port_mode_trunk(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/port-mode',
headers=self.headers,
data='trunk'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_trunk_mode(123)
def test_set_access_vlan(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/access-vlan',
headers=self.headers,
data='1000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_access_vlan("ge-0/0/6", 1000)
def test_reset_interface(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6',
headers=self.headers,
data=None
).and_return(
Reply(
content='',
status_code=204))
self.switch.reset_interface("ge-0/0/6")
def test_reset_interface_with_unknown_interface_raises(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ne-0/0/66',
headers=self.headers,
data=None
).and_return(
Reply(
content=json.dumps({
"error": "Interface ethernet ne-0/0/66 not found",
"error-module": UnknownInterface.__module__,
"error-class": UnknownInterface.__name__
}),
status_code=404))
with self.assertRaises(UnknownInterface):
self.switch.reset_interface('ne-0/0/66')
def test_unset_interface_access_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/access-vlan',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_access_vlan("ge-0/0/6")
def test_set_interface_native_vlan(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/trunk-native-vlan',
headers=self.headers,
data='1000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_native_vlan("ge-0/0/6", 1000)
def test_unset_interface_native_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/trunk-native-vlan',
headers=self.headers,
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_native_vlan("ge-0/0/6")
def test_set_bond_native_vlan(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/trunk-native-vlan',
headers=self.headers,
data='1000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_native_vlan(123, 1000)
def test_unset_bond_native_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/trunk-native-vlan',
headers=self.headers,
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_bond_native_vlan(123)
def test_add_trunk_vlan(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/trunk-vlans',
headers=self.headers,
data='1000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.add_trunk_vlan("ge-0/0/6", 1000)
def test_remove_trunk_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/trunk-vlans/1000',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_trunk_vlan("ge-0/0/6", 1000)
def test_add_bond_trunk_vlan(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/trunk-vlans',
headers=self.headers,
data='1000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.add_bond_trunk_vlan(123, 1000)
def test_remove_bond_trunk_vlan(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/trunk-vlans/1000',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_bond_trunk_vlan(123, 1000)
def test_set_interface_description(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/description',
headers=self.headers,
data='Resistance is futile'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_description("ge-0/0/6", "Resistance is futile")
def test_unset_interface_description(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/description',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_description("ge-0/0/6")
def test_set_bond_description(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/description',
headers=self.headers,
data='Resistance is futile'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_description(123, "Resistance is futile")
def test_unset_bond_description(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/description',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_bond_description(123)
def test_set_interface_mtu(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/mtu',
headers=self.headers,
data='5000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_mtu("ge-0/0/6", 5000)
def test_unset_interface_mtu(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/mtu',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_mtu("ge-0/0/6")
def test_set_bond_mtu(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/mtu',
headers=self.headers,
data='5000'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_mtu(123, 5000)
def test_unset_bond_mtu(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/bonds/123/mtu',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_bond_mtu(123)
def test_edit_interface_spanning_tree_succeeds(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/spanning-tree',
headers=self.headers,
data=json.dumps({"edge": True})
).and_return(
Reply(
content='',
status_code=204))
self.switch.edit_interface_spanning_tree("ge-0/0/6", edge=True)
def test_edit_interface_spanning_tree_optional_params(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/spanning-tree',
headers=self.headers,
data=json.dumps({})
).and_return(
Reply(
content='',
status_code=204))
self.switch.edit_interface_spanning_tree("ge-0/0/6")
def test_enable_interface(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/shutdown',
headers=self.headers,
data='false'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_state("ge-0/0/6", ON)
def test_disable_interface(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/shutdown',
headers=self.headers,
data='true'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_state("ge-0/0/6", OFF)
def test_unset_interface_state(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/shutdown',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_state("ge-0/0/6")
def test_enable_interface_auto_negotiation(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/auto-negotiation',
headers=self.headers,
data='true'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_auto_negotiation_state("ge-0/0/6", ON)
def test_disable_interface_auto_negotiation(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/auto-negotiation',
headers=self.headers,
data='false'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_auto_negotiation_state("ge-0/0/6", OFF)
def test_unset_interface_auto_negotiation_state(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/auto-negotiation',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_interface_auto_negotiation_state("ge-0/0/6")
def test_add_bond(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/bonds',
headers=self.headers,
data=JsonData(number=6)
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_bond(6)
def test_remove(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/bonds/6',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_bond(6)
def test_add_interface_to_bond(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/bond-master',
headers=self.headers,
data='10'
).and_return(
Reply(
content='',
status_code=204))
self.switch.add_interface_to_bond('ge-0/0/6', 10)
def test_remove_interface_from_bond(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/bond-master',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_interface_from_bond('ge-0/0/6')
def test_edit_bond_spanning_tree(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/5/spanning-tree',
headers=self.headers,
data=json.dumps({"edge": True})
).and_return(
Reply(
content='',
status_code=204))
self.switch.edit_bond_spanning_tree(5, edge=True)
def edit_bond_spanning_tree_optional_params(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/5/spanning-tree',
headers=self.headers,
data=json.dumps({})
).and_return(
Reply(
content='',
status_code=204))
self.switch.edit_bond_spanning_tree(5)
def test_change_bond_speed(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/10/link-speed',
headers=self.headers,
data='1g'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_bond_link_speed(10, '1g')
def test_change_bond_speed_missing_bond(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/10/link-speed',
headers=self.headers,
data='1g'
).and_return(
Reply(
content=json.dumps({
"error": "Bond 10 not found",
"error-module": UnknownBond.__module__,
"error-class": UnknownBond.__name__
}),
status_code=404))
with self.assertRaises(UnknownBond) as expect:
self.switch.set_bond_link_speed(10, '1g')
assert_that(str(expect.exception), equal_to("Bond 10 not found"))
def test_change_bond_speed_wrong_value(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/10/link-speed',
headers=self.headers,
data='1z'
).and_return(
Reply(
content=json.dumps({
"error": "Malformed bond link speed",
"error-module": BadBondLinkSpeed.__module__,
"error-class": BadBondLinkSpeed.__name__
}),
status_code=400))
with self.assertRaises(BadBondLinkSpeed) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(str(expect.exception), equal_to("Malformed bond link speed"))
def test_change_bond_speed_switch_locked(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/bonds/10/link-speed',
headers=self.headers,
data='1z'
).and_return(
Reply(
content=json.dumps({
"error": "Switch is locked and can't be modified",
"error-module": LockedSwitch.__module__,
"error-class": LockedSwitch.__name__
}),
status_code=423))
with self.assertRaises(LockedSwitch) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(str(expect.exception), equal_to("Switch is locked and can't be modified"))
def test_add_vrrp_group(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/vrrp-groups',
headers=self.headers,
data=JsonData(id=1,
priority=2,
ips=['1.2.3.4'],
hello_interval=5,
dead_interval=15,
track_id="101",
track_decrement=50)
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_vrrp_group(2000, group_id=1, priority=2, ips=[IPAddress('1.2.3.4')], hello_interval=5,
dead_interval=15, track_id='101', track_decrement=50)
def test_remove_vrrp_group(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/vrrp-groups/123',
headers=self.headers
).and_return(
Reply(
content='',
status_code=201))
self.switch.remove_vrrp_group(2000, group_id=123)
def test_add_dhcp_relay_server(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/dhcp-relay-server',
headers=self.headers,
data='1.2.3.4'
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_dhcp_relay_server(2000, '1.2.3.4')
def test_remove_dhcp_relay_server(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/dhcp-relay-server/1.2.3.4',
headers=self.headers
).and_return(
Reply(
content='',
status_code=201))
self.switch.remove_dhcp_relay_server(2000, '1.2.3.4')
def test_add_varp_ip(self):
self.requests_mock.should_receive("post").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/varp-ips',
headers=self.headers,
data='1.2.3.4/29'
).and_return(
Reply(
content='',
status_code=201))
self.switch.add_vlan_varp_ip(2000, IPNetwork('1.2.3.4/29'))
def test_remove_varp_ip(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/varp-ips/1.2.3.4/29',
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.remove_vlan_varp_ip(2000, IPNetwork('1.2.3.4/29'))
def test_set_interface_lldp_state(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/lldp',
headers=self.headers,
data='true'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_lldp_state("ge-0/0/6", True)
def test_disable_lldp(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/interfaces/ge-0/0/6/lldp',
headers=self.headers,
data='false'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_interface_lldp_state("ge-0/0/6", False)
def test_set_vlan_icmp_redirects_state_False_should_send_false(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/icmp-redirects',
headers=self.headers,
data='false'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_icmp_redirects_state(2000, False)
def test_set_vlan_icmp_redirects_state_True_should_send_true(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url+'/switches/toto/vlans/2000/icmp-redirects',
headers=self.headers,
data='true'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_icmp_redirects_state(2000, True)
def test_get_versions(self):
data = {
"v": "1.0",
"units": {
"1": {
"v": "1.0"
}
}
}
self.requests_mock.should_receive("get").once().with_args(
url=self.netman_url+'/switches/toto/versions',
headers=self.headers
).and_return(
Reply(
content=json.dumps(data),
status_code=204))
result = self.switch.get_versions()
assert_that(result, is_(data))
def test_unformatted_exceptions_are_handled(self):
self.requests_mock.should_receive("put").once().and_return(Reply(
content='Oops an unexpected excepton occured',
status_code=500
))
with self.assertRaises(Exception) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(str(expect.exception), equal_to("500: Oops an unexpected excepton occured"))
def test_native_exceptions_are_handled(self):
self.requests_mock.should_receive("put").once().and_return(Reply(
content=json.dumps({
"error": "Oops an unexpected excepton occured",
"error-class": "Exception"
}),
status_code=500
))
with self.assertRaises(Exception) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(str(expect.exception), equal_to("Oops an unexpected excepton occured"))
def test_exceptions_missing_error_classes_work(self):
self.requests_mock.should_receive("put").once().and_return(Reply(
content=json.dumps({
"error": "Oops an unexpected excepton occured"
}),
status_code=500
))
with self.assertRaises(Exception) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(str(expect.exception), equal_to("Oops an unexpected excepton occured"))
def test_exceptions_bad_init_works(self):
self.requests_mock.should_receive("put").once().and_return(Reply(
content=json.dumps({
"error": "Switch is locked and can't be modified",
"error-module": RPCError.__module__,
"error-class": RPCError.__name__
}),
status_code=400
))
with self.assertRaises(NetmanException) as expect:
self.switch.set_bond_link_speed(10, '1z')
assert_that(
str(expect.exception),
equal_to("ncclient.operations.rpc.RPCError: Switch is locked and can't be modified"))
def test_set_vlan_load_interval(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url + "/switches/toto/vlans/123/load-interval",
headers=self.headers,
data="30"
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_load_interval(123, 30)
def test_unset_vlan_load_interval(self):
self.requests_mock.should_receive("delete").once().with_args(
url=self.netman_url + "/switches/toto/vlans/123/load-interval",
headers=self.headers
).and_return(
Reply(
content='',
status_code=204))
self.switch.unset_vlan_load_interval(123)
def test_set_vlan_mpls_ip_state_true(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url + "/switches/toto/vlans/123/mpls-ip",
headers=self.headers,
data='true'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_mpls_ip_state(123, True)
def test_set_vlan_mpls_ip_state_false(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url + "/switches/toto/vlans/123/mpls-ip",
headers=self.headers,
data='false'
).and_return(
Reply(
content='',
status_code=204))
self.switch.set_vlan_mpls_ip_state(123, False)
def test_set_vlan_mpls_ip_state_invalid(self):
self.requests_mock.should_receive("put").once().with_args(
url=self.netman_url + "/switches/toto/vlans/123/mpls-ip",
headers=self.headers,
data='30'
).and_return(
Reply(
content=json.dumps({"error": "",
"error-module": BadMplsIpState.__module__,
"error-class": BadMplsIpState.__name__}),
status_code=400))
with self.assertRaises(BadMplsIpState):
self.switch.set_vlan_mpls_ip_state(123, 30)
class Reply:
def __init__(self, status_code, content, headers=None):
self.status_code = status_code
self.content = content
self.headers = headers or {}
def json(self):
return json.loads(self.content)
class JsonData:
def __init__(self, **data):
self.data = data
def __eq__(self, other):
try:
return json.loads(other) == self.data
except ValueError:
return False
| 38.011021
| 127
| 0.590957
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0
| 7
|
f42d96dc143c1156ee4b6b32a5c46df54b92f152
| 19,468
|
py
|
Python
|
netbox_onboarding/tests/test_netbox_keeper.py
|
fallenfuzz/ntc-netbox-plugin-onboarding
|
aeebc17a8e297c8f7694c59484e68ef28b464fad
|
[
"Apache-2.0"
] | 180
|
2020-05-19T21:30:01.000Z
|
2022-03-15T15:18:27.000Z
|
netbox_onboarding/tests/test_netbox_keeper.py
|
fallenfuzz/ntc-netbox-plugin-onboarding
|
aeebc17a8e297c8f7694c59484e68ef28b464fad
|
[
"Apache-2.0"
] | 85
|
2020-05-20T22:12:12.000Z
|
2022-01-17T20:52:30.000Z
|
netbox_onboarding/tests/test_netbox_keeper.py
|
isabella232/ntc-netbox-plugin-onboarding
|
2eca893c2e97ed40f2b2c45ef3be93c0d120b6fc
|
[
"Apache-2.0"
] | 44
|
2020-05-21T00:43:17.000Z
|
2022-03-11T05:12:48.000Z
|
"""Unit tests for netbox_onboarding.onboard module and its classes.
(c) 2020 Network To Code
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 django.conf import settings
from django.test import TestCase
from django.utils.text import slugify
from dcim.models import Site, Manufacturer, DeviceType, DeviceRole, Device, Interface, Platform
from ipam.models import IPAddress
# from netbox_onboarding.netbox_keeper import NetdevKeeper
from netbox_onboarding.exceptions import OnboardException
from netbox_onboarding.netbox_keeper import NetboxKeeper
PLUGIN_SETTINGS = settings.PLUGINS_CONFIG["netbox_onboarding"]
class NetboxKeeperTestCase(TestCase):
"""Test the NetboxKeeper Class."""
def setUp(self):
"""Create a superuser and token for API calls."""
self.site1 = Site.objects.create(name="USWEST", slug="uswest")
def test_ensure_device_manufacturer_strict_missing(self):
"""Verify ensure_device_manufacturer function when Manufacturer object is not present."""
PLUGIN_SETTINGS["object_match_strategy"] = "strict"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_manufacturer(create_manufacturer=False)
self.assertEqual(exc_info.exception.message, "ERROR manufacturer not found: Cisco")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_manufacturer(create_manufacturer=True)
self.assertIsInstance(nbk.nb_manufacturer, Manufacturer)
self.assertEqual(nbk.nb_manufacturer.slug, slugify(onboarding_kwargs["netdev_vendor"]))
def test_ensure_device_manufacturer_loose_missing(self):
"""Verify ensure_device_manufacturer function when Manufacturer object is not present."""
PLUGIN_SETTINGS["object_match_strategy"] = "loose"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_manufacturer(create_manufacturer=False)
self.assertEqual(exc_info.exception.message, "ERROR manufacturer not found: Cisco")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_manufacturer(create_manufacturer=True)
self.assertIsInstance(nbk.nb_manufacturer, Manufacturer)
self.assertEqual(nbk.nb_manufacturer.slug, slugify(onboarding_kwargs["netdev_vendor"]))
def test_ensure_device_type_strict_missing(self):
"""Verify ensure_device_type function when DeviceType object is not present."""
PLUGIN_SETTINGS["object_match_strategy"] = "strict"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.nb_manufacturer = Manufacturer.objects.create(name="Cisco", slug="cisco")
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_type(create_device_type=False)
self.assertEqual(exc_info.exception.message, "ERROR device type not found: CSR1000v")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_type(create_device_type=True)
self.assertIsInstance(nbk.nb_device_type, DeviceType)
self.assertEqual(nbk.nb_device_type.slug, slugify(onboarding_kwargs["netdev_model"]))
def test_ensure_device_type_loose_missing(self):
"""Verify ensure_device_type function when DeviceType object is not present."""
PLUGIN_SETTINGS["object_match_strategy"] = "loose"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.nb_manufacturer = Manufacturer.objects.create(name="Cisco", slug="cisco")
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_type(create_device_type=False)
self.assertEqual(exc_info.exception.message, "ERROR device type not found: CSR1000v")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_type(create_device_type=True)
self.assertIsInstance(nbk.nb_device_type, DeviceType)
self.assertEqual(nbk.nb_device_type.slug, slugify(onboarding_kwargs["netdev_model"]))
def test_ensure_device_type_strict_present(self):
"""Verify ensure_device_type function when DeviceType object is already present."""
PLUGIN_SETTINGS["object_match_strategy"] = "strict"
manufacturer = Manufacturer.objects.create(name="Juniper", slug="juniper")
device_type = DeviceType.objects.create(slug="srx3600", model="SRX3600", manufacturer=manufacturer)
onboarding_kwargs = {
"netdev_hostname": "device2",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Juniper",
"netdev_nb_device_type_slug": device_type.slug,
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.nb_manufacturer = manufacturer
nbk.ensure_device_type(create_device_type=False)
self.assertEqual(nbk.nb_device_type, device_type)
def test_ensure_device_type_loose_present(self):
"""Verify ensure_device_type function when DeviceType object is already present."""
PLUGIN_SETTINGS["object_match_strategy"] = "loose"
manufacturer = Manufacturer.objects.create(name="Juniper", slug="juniper")
device_type = DeviceType.objects.create(slug="srx3600", model="SRX3600", manufacturer=manufacturer)
onboarding_kwargs = {
"netdev_hostname": "device2",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Juniper",
"netdev_nb_device_type_slug": device_type.slug,
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.nb_manufacturer = manufacturer
nbk.ensure_device_type(create_device_type=False)
self.assertEqual(nbk.nb_device_type, device_type)
def test_ensure_device_role_not_exist(self):
"""Verify ensure_device_role function when DeviceRole does not already exist."""
test_role_name = "mytestrole"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": test_role_name,
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_role(create_device_role=False)
self.assertEqual(exc_info.exception.message, f"ERROR device role not found: {test_role_name}")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_role(create_device_role=True)
self.assertIsInstance(nbk.nb_device_role, DeviceRole)
self.assertEqual(nbk.nb_device_role.slug, slugify(test_role_name))
def test_ensure_device_role_exist(self):
"""Verify ensure_device_role function when DeviceRole exist but is not assigned to the OT."""
device_role = DeviceRole.objects.create(name="Firewall", slug="firewall")
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": device_role.slug,
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device_role(create_device_role=False)
self.assertEqual(nbk.nb_device_role, device_role)
#
def test_ensure_device_role_assigned(self):
"""Verify ensure_device_role function when DeviceRole exist and is already assigned."""
device_role = DeviceRole.objects.create(name="Firewall", slug="firewall")
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": device_role.slug,
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_nb_site_slug": self.site1.slug,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device_role(create_device_role=True)
self.assertEqual(nbk.nb_device_role, device_role)
def test_ensure_device_instance_not_exist(self):
"""Verify ensure_device_instance function."""
serial_number = "123456"
platform_slug = "cisco_ios"
hostname = "device1"
onboarding_kwargs = {
"netdev_hostname": hostname,
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": platform_slug,
"netdev_serial_number": serial_number,
"netdev_mgmt_ip_address": "192.0.2.10",
"netdev_mgmt_ifname": "GigaEthernet0",
"netdev_mgmt_pflen": 24,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device()
self.assertIsInstance(nbk.device, Device)
self.assertEqual(nbk.device.name, hostname)
self.assertEqual(nbk.device.status, PLUGIN_SETTINGS["default_device_status"])
self.assertEqual(nbk.device.platform.slug, platform_slug)
self.assertEqual(nbk.device.serial, serial_number)
def test_ensure_device_instance_exist(self):
"""Verify ensure_device_instance function."""
manufacturer = Manufacturer.objects.create(name="Cisco", slug="cisco")
device_role = DeviceRole.objects.create(name="Switch", slug="switch")
device_type = DeviceType.objects.create(slug="c2960", model="c2960", manufacturer=manufacturer)
device_name = "test_name"
device = Device.objects.create(
name=device_name,
site=self.site1,
device_type=device_type,
device_role=device_role,
status="planned",
serial="987654",
)
onboarding_kwargs = {
"netdev_hostname": device_name,
"netdev_nb_role_slug": "switch",
"netdev_vendor": "Cisco",
"netdev_model": "c2960",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": "cisco_ios",
"netdev_serial_number": "123456",
"netdev_mgmt_ip_address": "192.0.2.10",
"netdev_mgmt_ifname": "GigaEthernet0",
"netdev_mgmt_pflen": 24,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device()
self.assertIsInstance(nbk.device, Device)
self.assertEqual(nbk.device.pk, device.pk)
self.assertEqual(nbk.device.name, device_name)
self.assertEqual(nbk.device.platform.slug, "cisco_ios")
self.assertEqual(nbk.device.serial, "123456")
def test_ensure_interface_not_exist(self):
"""Verify ensure_interface function when the interface do not exist."""
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": "cisco_ios",
"netdev_serial_number": "123456",
"netdev_mgmt_ip_address": "192.0.2.10",
"netdev_mgmt_ifname": "ge-0/0/0",
"netdev_mgmt_pflen": 24,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device()
self.assertIsInstance(nbk.nb_mgmt_ifname, Interface)
self.assertEqual(nbk.nb_mgmt_ifname.name, "ge-0/0/0")
def test_ensure_interface_exist(self):
"""Verify ensure_interface function when the interface already exist."""
manufacturer = Manufacturer.objects.create(name="Cisco", slug="cisco")
device_role = DeviceRole.objects.create(name="Switch", slug="switch")
device_type = DeviceType.objects.create(slug="c2960", model="c2960", manufacturer=manufacturer)
device_name = "test_name"
netdev_mgmt_ifname = "GigaEthernet0"
device = Device.objects.create(
name=device_name,
site=self.site1,
device_type=device_type,
device_role=device_role,
status="planned",
serial="987654",
)
intf = Interface.objects.create(name=netdev_mgmt_ifname, device=device)
onboarding_kwargs = {
"netdev_hostname": device_name,
"netdev_nb_role_slug": "switch",
"netdev_vendor": "Cisco",
"netdev_model": "c2960",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": "cisco_ios",
"netdev_serial_number": "123456",
"netdev_mgmt_ip_address": "192.0.2.10",
"netdev_mgmt_ifname": netdev_mgmt_ifname,
"netdev_mgmt_pflen": 24,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device()
self.assertEqual(nbk.nb_mgmt_ifname, intf)
def test_ensure_primary_ip_not_exist(self):
"""Verify ensure_primary_ip function when the IP address do not already exist."""
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_nb_role_color": PLUGIN_SETTINGS["default_device_role_color"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": "cisco_ios",
"netdev_serial_number": "123456",
"netdev_mgmt_ip_address": "192.0.2.10",
"netdev_mgmt_ifname": "ge-0/0/0",
"netdev_mgmt_pflen": 24,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device()
self.assertIsInstance(nbk.nb_primary_ip, IPAddress)
self.assertIn(nbk.nb_primary_ip, Interface.objects.get(device=nbk.device, name="ge-0/0/0").ip_addresses.all())
self.assertEqual(nbk.device.primary_ip, nbk.nb_primary_ip)
def test_ensure_device_platform_missing(self):
"""Verify ensure_device_platform function when Platform object is not present."""
platform_name = "cisco_ios"
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
"netdev_nb_platform_slug": platform_name,
"netdev_netmiko_device_type": platform_name,
}
nbk = NetboxKeeper(**onboarding_kwargs)
with self.assertRaises(OnboardException) as exc_info:
nbk.ensure_device_platform(create_platform_if_missing=False)
self.assertEqual(exc_info.exception.message, f"ERROR device platform not found: {platform_name}")
self.assertEqual(exc_info.exception.reason, "fail-config")
nbk.ensure_device_platform(create_platform_if_missing=True)
self.assertIsInstance(nbk.nb_platform, Platform)
self.assertEqual(nbk.nb_platform.slug, slugify(platform_name))
def test_ensure_platform_present(self):
"""Verify ensure_device_platform function when Platform object is present."""
platform_name = "juniper_junos"
manufacturer = Manufacturer.objects.create(name="Juniper", slug="juniper")
device_type = DeviceType.objects.create(slug="srx3600", model="SRX3600", manufacturer=manufacturer)
platform = Platform.objects.create(slug=platform_name, name=platform_name,)
onboarding_kwargs = {
"netdev_hostname": "device2",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Juniper",
"netdev_nb_device_type_slug": device_type.slug,
"netdev_nb_site_slug": self.site1.slug,
"netdev_nb_platform_slug": platform_name,
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device_platform(create_platform_if_missing=False)
self.assertIsInstance(nbk.nb_platform, Platform)
self.assertEqual(nbk.nb_platform, platform)
self.assertEqual(nbk.nb_platform.slug, slugify(platform_name))
def test_platform_map(self):
"""Verify platform mapping of netmiko to slug functionality."""
# Create static mapping
PLUGIN_SETTINGS["platform_map"] = {"cisco_ios": "ios", "arista_eos": "eos", "cisco_nxos": "cisco-nxos"}
onboarding_kwargs = {
"netdev_hostname": "device1",
"netdev_nb_role_slug": PLUGIN_SETTINGS["default_device_role"],
"netdev_vendor": "Cisco",
"netdev_model": "CSR1000v",
"netdev_nb_site_slug": self.site1.slug,
"netdev_netmiko_device_type": "cisco_ios",
}
nbk = NetboxKeeper(**onboarding_kwargs)
nbk.ensure_device_platform(create_platform_if_missing=True)
self.assertIsInstance(nbk.nb_platform, Platform)
self.assertEqual(nbk.nb_platform.slug, slugify(PLUGIN_SETTINGS["platform_map"]["cisco_ios"]))
self.assertEqual(
Platform.objects.get(name=PLUGIN_SETTINGS["platform_map"]["cisco_ios"]).name,
slugify(PLUGIN_SETTINGS["platform_map"]["cisco_ios"]),
)
| 42.50655
| 118
| 0.672026
| 2,191
| 19,468
| 5.644455
| 0.092652
| 0.042047
| 0.034932
| 0.041481
| 0.830436
| 0.805612
| 0.7744
| 0.760653
| 0.760653
| 0.731786
| 0
| 0.016097
| 0.224574
| 19,468
| 457
| 119
| 42.599562
| 0.803127
| 0.101449
| 0
| 0.736364
| 0
| 0
| 0.224912
| 0.041003
| 0
| 0
| 0
| 0
| 0.169697
| 1
| 0.054545
| false
| 0
| 0.021212
| 0
| 0.078788
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
|
0
| 7
|
bebeeeee1bd23bd77af46e3628f66c35885e7633
| 68,666
|
py
|
Python
|
benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/SystemIPC/EightThreads_radix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/SystemIPC/EightThreads_radix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/SystemIPC/EightThreads_radix/power.py
|
TugberkArkose/MLScheduler
|
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
|
[
"Unlicense"
] | null | null | null |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.0980777,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.279723,
'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': 0.394,
'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': 0.148207,
'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': 0.256641,
'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': 0.147191,
'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': 0.55204,
'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': 0.0860909,
'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': 5.81603,
'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': 0.0744351,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00537263,
'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': 0.0810849,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0397339,
'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': 0.15552,
'Execution Unit/Register Files/Runtime Dynamic': 0.0451065,
'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': 0.222804,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.402293,
'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': 1.68454,
'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': 0.000225002,
'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': 0.000225002,
'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': 0.000194444,
'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': 7.44341e-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,
'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': 0.000570781,
'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': 0.00121523,
'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': 0.00221206,
'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': 0.0381972,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.42967,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0551552,
'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': 0.129735,
'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': 4.76791,
'Instruction Fetch Unit/Runtime Dynamic': 0.226515,
'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': 0.0140516,
'L2/Runtime Dynamic': 0.00517116,
'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': 1.57809,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.182297,
'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': 0.0110311,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0110311,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.63039,
'Load Store Unit/Runtime Dynamic': 0.247729,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0272009,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.0544015,
'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': 0.0096537,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.00986453,
'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': 0.151068,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.00904231,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.326256,
'Memory Management Unit/Runtime Dynamic': 0.0189068,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 17.1163,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.259687,
'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': 0.0107034,
'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': 0.0719334,
'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': 0.342324,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 2.52519,
'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': 0.0982865,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.279887,
'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': 0.394843,
'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': 0.123408,
'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': 0.199053,
'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': 0.100475,
'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': 0.422937,
'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': 0.0806077,
'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': 4.75412,
'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': 0.0745942,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0051763,
'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': 0.0797547,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0382819,
'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': 0.154349,
'Execution Unit/Register Files/Runtime Dynamic': 0.0434582,
'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': 0.192598,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.345046,
'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': 1.49671,
'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': 0.000196117,
'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': 0.000196117,
'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,
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'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
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'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000549923,
'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': 0.00111164,
'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': 0.00192802,
'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': 0.0368014,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.34089,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0552637,
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'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 with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 4.67301,
'Instruction Fetch Unit/Runtime Dynamic': 0.220099,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
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'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0129726,
'L2/Runtime Dynamic': 0.00485966,
'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': 0.00964176,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.00964166,
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'Load Store Unit/Peak Dynamic': 1.58067,
'Load Store Unit/Runtime Dynamic': 0.2179,
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'Load Store Unit/Subthreshold Leakage': 0.591321,
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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': 0.316151,
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'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/Peak Dynamic': 3.58947,
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'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 2.22026,
'Subthreshold Leakage': 6.16288,
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'Execution Unit/Area': 7.68434,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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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,
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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/Runtime Dynamic': 0.100818,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.424379,
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'Execution Unit/Integer ALUs/Peak Dynamic': 0.081378,
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'Execution Unit/Peak Dynamic': 4.75194,
'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': 0.0742381,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00519396,
'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/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.153919,
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'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
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'Execution Unit/Runtime Dynamic': 1.49837,
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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/Global Predictor/Area': 0.0435221,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000199387,
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'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
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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': 6.59614e-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': 0.000551799,
'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': 0.00112288,
'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': 0.0019602,
'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': 0.0369269,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.34887,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0549932,
'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': 0.12542,
'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': 4.68138,
'Instruction Fetch Unit/Runtime Dynamic': 0.220424,
'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': 0.013049,
'L2/Runtime Dynamic': 0.0049262,
'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': 1.54336,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.164681,
'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': 0.00990766,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.00990762,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.59015,
'Load Store Unit/Runtime Dynamic': 0.22345,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0244306,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.048861,
'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,
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'Memory Management Unit/Gate Leakage': 0.00808595,
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'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,
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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': 0.262327,
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'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
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'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.123725,
'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': 0.199564,
'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': 0.100733,
'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': 0.424022,
'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': 0.0811593,
'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': 4.75278,
'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': 0.074361,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00518958,
'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': 0.0797187,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0383801,
'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': 0.15408,
'Execution Unit/Register Files/Runtime Dynamic': 0.0435697,
'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': 0.192445,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.345389,
'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': 1.498,
'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': 0.000197415,
'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': 0.000197415,
'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': 0.000170604,
'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': 6.53086e-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,
'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': 0.000551334,
'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': 0.00111677,
'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': 0.00194081,
'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': 0.0368958,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 2.34689,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0550619,
'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': 0.125315,
'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': 4.6793,
'Instruction Fetch Unit/Runtime Dynamic': 0.22033,
'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': 0.0131558,
'L2/Runtime Dynamic': 0.0049838,
'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': 1.5413,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.163934,
'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': 0.00984081,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0098409,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.58777,
'Load Store Unit/Runtime Dynamic': 0.222306,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0242658,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.048532,
'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': 0.008612,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.00880954,
'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': 0.145921,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.00902684,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.316824,
'Memory Management Unit/Runtime Dynamic': 0.0178364,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 14.9393,
'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': 0.195609,
'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': 0.00796266,
'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': 0.0590131,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
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'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 1.2868175454447888,
'Runtime Dynamic': 1.2868175454447888,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.0451325,
'Runtime Dynamic': 0.0231622,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
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'Peak Dynamic': 61.9702,
'Peak Power': 95.0824,
'Runtime Dynamic': 9.22203,
'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': 61.9251,
'Total Cores/Runtime Dynamic': 9.19887,
'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': 0.0451325,
'Total L3s/Runtime Dynamic': 0.0231622,
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'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
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'Total NoCs/Runtime Dynamic': 0.0,
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'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
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0
| 7
|
bec8f3e8e25615ec47e0f369b37c577cbda48806
| 20,401
|
py
|
Python
|
salt/runners/saltutil.py
|
casselt/salt
|
d8a2ef4e0cd544656489d23d161928879b1fc1c0
|
[
"Apache-2.0"
] | 1
|
2016-08-21T21:19:12.000Z
|
2016-08-21T21:19:12.000Z
|
salt/runners/saltutil.py
|
casselt/salt
|
d8a2ef4e0cd544656489d23d161928879b1fc1c0
|
[
"Apache-2.0"
] | 2
|
2019-03-06T20:43:44.000Z
|
2019-04-10T23:56:02.000Z
|
salt/runners/saltutil.py
|
casselt/salt
|
d8a2ef4e0cd544656489d23d161928879b1fc1c0
|
[
"Apache-2.0"
] | 1
|
2018-11-14T11:01:16.000Z
|
2018-11-14T11:01:16.000Z
|
# -*- coding: utf-8 -*-
'''
The Saltutil runner is used to sync custom types to the Master. See the
:mod:`saltutil module <salt.modules.saltutil>` for documentation on
managing updates to minions.
.. versionadded:: 2016.3.0
'''
from __future__ import absolute_import, print_function, unicode_literals
# Import python libs
import logging
# Import salt libs
import salt.utils.extmods
log = logging.getLogger(__name__)
def sync_all(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync all custom types
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
dictionary of modules to sync based on type
extmod_blacklist : None
dictionary of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_all
salt-run saltutil.sync_all extmod_whitelist={'runners': ['custom_runner'], 'grains': []}
'''
log.debug('Syncing all')
ret = {}
ret['clouds'] = sync_clouds(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['modules'] = sync_modules(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['states'] = sync_states(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['grains'] = sync_grains(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['renderers'] = sync_renderers(saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)
ret['returners'] = sync_returners(saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)
ret['output'] = sync_output(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['proxymodules'] = sync_proxymodules(saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)
ret['runners'] = sync_runners(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['wheel'] = sync_wheel(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['engines'] = sync_engines(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['thorium'] = sync_thorium(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['queues'] = sync_queues(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['pillar'] = sync_pillar(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['utils'] = sync_utils(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['sdb'] = sync_sdb(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['cache'] = sync_cache(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['fileserver'] = sync_fileserver(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['tops'] = sync_tops(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['tokens'] = sync_eauth_tokens(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
ret['serializers'] = sync_serializers(saltenv=saltenv, extmod_whitelist=extmod_whitelist, extmod_blacklist=extmod_blacklist)
return ret
def sync_modules(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync execution modules from ``salt://_modules`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_modules
'''
return salt.utils.extmods.sync(__opts__, 'modules', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_states(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync state modules from ``salt://_states`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_states
'''
return salt.utils.extmods.sync(__opts__, 'states', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_grains(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync grains modules from ``salt://_grains`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_grains
'''
return salt.utils.extmods.sync(__opts__, 'grains', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_renderers(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync renderer modules from from ``salt://_renderers`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_renderers
'''
return salt.utils.extmods.sync(__opts__, 'renderers', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_returners(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync returner modules from ``salt://_returners`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_returners
'''
return salt.utils.extmods.sync(__opts__, 'returners', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_output(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync output modules from ``salt://_output`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_output
'''
return salt.utils.extmods.sync(__opts__, 'output', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_proxymodules(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync proxy modules from ``salt://_proxy`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_proxymodules
'''
return salt.utils.extmods.sync(__opts__, 'proxy', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_runners(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync runners from ``salt://_runners`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_runners
'''
return salt.utils.extmods.sync(__opts__, 'runners', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_wheel(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync wheel modules from ``salt://_wheel`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_wheel
'''
return salt.utils.extmods.sync(__opts__, 'wheel', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_engines(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync engines from ``salt://_engines`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_engines
'''
return salt.utils.extmods.sync(__opts__, 'engines', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_thorium(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2018.3.0
Sync Thorium from ``salt://_thorium`` to the master
saltenv: ``base``
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist
comma-seperated list of modules to sync
extmod_blacklist
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_thorium
'''
return salt.utils.extmods.sync(__opts__, 'thorium', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_queues(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync queue modules from ``salt://_queues`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_queues
'''
return salt.utils.extmods.sync(__opts__, 'queues', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_pillar(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
Sync pillar modules from ``salt://_pillar`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_pillar
'''
return salt.utils.extmods.sync(__opts__, 'pillar', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_utils(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2016.11.0
Sync utils modules from ``salt://_utils`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_utils
'''
return salt.utils.extmods.sync(__opts__, 'utils', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_sdb(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2017.7.0
Sync sdb modules from ``salt://_sdb`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_sdb
'''
return salt.utils.extmods.sync(__opts__, 'sdb', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_tops(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2016.3.7,2016.11.4,2017.7.0
Sync master_tops modules from ``salt://_tops`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_tops
'''
return salt.utils.extmods.sync(__opts__, 'tops', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_cache(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2017.7.0
Sync cache modules from ``salt://_cache`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_cache
'''
return salt.utils.extmods.sync(__opts__, 'cache', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_fileserver(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2018.3.0
Sync fileserver modules from ``salt://_fileserver`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_fileserver
'''
return salt.utils.extmods.sync(__opts__, 'fileserver', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_clouds(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2017.7.0
Sync cloud modules from ``salt://_clouds`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_clouds
'''
return salt.utils.extmods.sync(__opts__, 'clouds', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_roster(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2017.7.0
Sync roster modules from ``salt://_roster`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_roster
'''
return salt.utils.extmods.sync(__opts__, 'roster', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_eauth_tokens(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: 2018.3.0
Sync eauth token modules from ``salt://_tokens`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_eauth_tokens
'''
return salt.utils.extmods.sync(__opts__, 'tokens', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
def sync_serializers(saltenv='base', extmod_whitelist=None, extmod_blacklist=None):
'''
.. versionadded:: Fluorine
Sync serializer modules from ``salt://_serializers`` to the master
saltenv : base
The fileserver environment from which to sync. To sync from more than
one environment, pass a comma-separated list.
extmod_whitelist : None
comma-seperated list of modules to sync
extmod_blacklist : None
comma-seperated list of modules to blacklist based on type
CLI Example:
.. code-block:: bash
salt-run saltutil.sync_utils
'''
return salt.utils.extmods.sync(__opts__, 'serializers', saltenv=saltenv, extmod_whitelist=extmod_whitelist,
extmod_blacklist=extmod_blacklist)[0]
| 33.444262
| 128
| 0.688839
| 2,485
| 20,401
| 5.471227
| 0.045875
| 0.145631
| 0.132833
| 0.091718
| 0.880038
| 0.875625
| 0.831495
| 0.831495
| 0.831495
| 0.769712
| 0
| 0.00618
| 0.230577
| 20,401
| 609
| 129
| 33.499179
| 0.859973
| 0.502868
| 0
| 0.255102
| 0
| 0
| 0.043896
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.234694
| false
| 0
| 0.030612
| 0
| 0.5
| 0.010204
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
fe2c15558338948e894518940184ec48ac6136ab
| 5,732
|
py
|
Python
|
trello/actions.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
trello/actions.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
trello/actions.py
|
cmuozdiaz/trello-py
|
fa3e05972ad22796e515a6bb1a31e1ea5b365ed6
|
[
"BSD-2-Clause"
] | null | null | null |
import json
import requests
class Actions(object):
__module__ = 'trello'
def __init__(self, apikey, token=None):
self._apikey = apikey
self._token = token
def get(self, idAction, display=None, entities=None, fields=None, member=None, member_fields=None, memberCreator=None, memberCreator_fields=None):
resp = requests.get("https://trello.com/1/actions/{}".format(idAction), params={"key": self._apikey, "token": self._token, "display": display, "entities": entities, "fields": fields, "member": member, "member_fields": member_fields, "memberCreator": memberCreator, "memberCreator_fields": memberCreator_fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_board(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/board".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_board_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/board/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_card(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/card".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_card_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/card/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_display(self, idAction):
resp = requests.get("https://trello.com/1/actions/{}/display".format(idAction), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_entitie(self, idAction):
resp = requests.get("https://trello.com/1/actions/{}/entities".format(idAction), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_list(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/list".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_list_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/list/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_member(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/member".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_member_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/member/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_memberCreator(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/memberCreator".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_memberCreator_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/memberCreator/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_organization(self, idAction, fields=None):
resp = requests.get("https://trello.com/1/actions/{}/organization".format(idAction), params={"key": self._apikey, "token": self._token, "fields": fields}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def get_organization_field(self, field, idAction):
resp = requests.get("https://trello.com/1/actions/{}/organization/{}".format(idAction, field), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
def update(self, idAction, text=None):
resp = requests.put("https://trello.com/1/actions/{}".format(idAction), params={"key": self._apikey, "token": self._token}, data={"text": text})
resp.raise_for_status()
return json.loads(resp.text)
def update_text(self, idAction, value):
resp = requests.put("https://trello.com/1/actions/{}/text".format(idAction), params={"key": self._apikey, "token": self._token}, data={"value": value})
resp.raise_for_status()
return json.loads(resp.text)
def delete(self, idAction):
resp = requests.delete("https://trello.com/1/actions/{}".format(idAction), params={"key": self._apikey, "token": self._token}, data=None)
resp.raise_for_status()
return json.loads(resp.text)
| 54.075472
| 330
| 0.66626
| 743
| 5,732
| 4.986541
| 0.060565
| 0.053981
| 0.080972
| 0.076923
| 0.870175
| 0.870175
| 0.870175
| 0.870175
| 0.85614
| 0.85614
| 0
| 0.003948
| 0.160502
| 5,732
| 105
| 331
| 54.590476
| 0.766002
| 0
| 0
| 0.457831
| 0
| 0
| 0.175886
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.240964
| false
| 0
| 0.024096
| 0
| 0.518072
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 8
|
fe9eea00f59c68728aba4c226c290f0abf2ab311
| 176
|
py
|
Python
|
deeplabcut/pose_estimation_3d/__init__.py
|
serre-lab/deeplabcut_mgh
|
aa37b104ba4967932528d4f79665648474f51112
|
[
"MIT"
] | null | null | null |
deeplabcut/pose_estimation_3d/__init__.py
|
serre-lab/deeplabcut_mgh
|
aa37b104ba4967932528d4f79665648474f51112
|
[
"MIT"
] | 1
|
2019-12-15T00:37:15.000Z
|
2019-12-15T00:37:15.000Z
|
deeplabcut/pose_estimation_3d/__init__.py
|
kalpitthakkar/deeplabcut_mgh_pose
|
8fa4a59f422ff0357552e290230838239edcfe1b
|
[
"MIT"
] | null | null | null |
from deeplabcut.pose_estimation_3d.camera_calibration import *
from deeplabcut.pose_estimation_3d.plotting3D import *
from deeplabcut.pose_estimation_3d.triangulation import *
| 44
| 62
| 0.880682
| 22
| 176
| 6.727273
| 0.454545
| 0.283784
| 0.364865
| 0.567568
| 0.689189
| 0.486486
| 0
| 0
| 0
| 0
| 0
| 0.02439
| 0.068182
| 176
| 3
| 63
| 58.666667
| 0.878049
| 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
|
feaceee91130522bb582df1a0bee35551eed8a74
| 119
|
py
|
Python
|
src/ctc/protocols/fei_utils/analytics/metric_groups/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 94
|
2022-02-15T19:34:49.000Z
|
2022-03-26T19:26:22.000Z
|
src/ctc/protocols/fei_utils/analytics/metric_groups/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 7
|
2022-03-03T02:58:47.000Z
|
2022-03-11T18:41:05.000Z
|
src/ctc/protocols/fei_utils/analytics/metric_groups/__init__.py
|
fei-protocol/checkthechain
|
ec838f3d0d44af228f45394d9ba8d8eb7f677520
|
[
"MIT"
] | 7
|
2022-02-15T17:53:07.000Z
|
2022-03-17T19:14:17.000Z
|
from .buyback_metrics import *
from .fei_metrics import *
from .fei_volume_metrics import *
from .pcv_metrics import *
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0
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feb02663b37774724d6bc2b05800a55eedb65572
| 68,010
|
py
|
Python
|
atom/nucleus/python/nucleus_api/api/decision_tree_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
atom/nucleus/python/nucleus_api/api/decision_tree_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
atom/nucleus/python/nucleus_api/api/decision_tree_api.py
|
AbhiGupta03/SDK
|
f3a61aae7a847f07f0c22a154ca88dc378e9d25e
|
[
"Apache-2.0"
] | null | null | null |
# coding: utf-8
"""
Hydrogen Nucleus API
The Hydrogen Nucleus API # noqa: E501
OpenAPI spec version: 1.9.5
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from nucleus_api.api_client import ApiClient
class DecisionTreeApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
Ref: https://github.com/swagger-api/swagger-codegen
"""
def __init__(self, api_client=None):
if api_client is None:
api_client = ApiClient()
self.api_client = api_client
def create_decision_tree_result_using_post(self, decision_tree_co, **kwargs): # noqa: E501
"""Decision tree result # noqa: E501
Decision tree result. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_decision_tree_result_using_post(decision_tree_co, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DecisionTreeCO decision_tree_co: decisionTreeCO (required)
:return: DecisionTreeResultVO
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_decision_tree_result_using_post_with_http_info(decision_tree_co, **kwargs) # noqa: E501
else:
(data) = self.create_decision_tree_result_using_post_with_http_info(decision_tree_co, **kwargs) # noqa: E501
return data
def create_decision_tree_result_using_post_with_http_info(self, decision_tree_co, **kwargs): # noqa: E501
"""Decision tree result # noqa: E501
Decision tree result. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_decision_tree_result_using_post_with_http_info(decision_tree_co, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DecisionTreeCO decision_tree_co: decisionTreeCO (required)
:return: DecisionTreeResultVO
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['decision_tree_co'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_decision_tree_result_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'decision_tree_co' is set
if self.api_client.client_side_validation and ('decision_tree_co' not in params or
params['decision_tree_co'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree_co` when calling `create_decision_tree_result_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'decision_tree_co' in params:
body_params = params['decision_tree_co']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree_result', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DecisionTreeResultVO', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_decision_tree_using_post(self, decision_tree, **kwargs): # noqa: E501
"""Create a decision tree # noqa: E501
Create a new decision tree for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_decision_tree_using_post(decision_tree, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DecisionTree decision_tree: decisionTree (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_decision_tree_using_post_with_http_info(decision_tree, **kwargs) # noqa: E501
else:
(data) = self.create_decision_tree_using_post_with_http_info(decision_tree, **kwargs) # noqa: E501
return data
def create_decision_tree_using_post_with_http_info(self, decision_tree, **kwargs): # noqa: E501
"""Create a decision tree # noqa: E501
Create a new decision tree for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_decision_tree_using_post_with_http_info(decision_tree, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DecisionTree decision_tree: decisionTree (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['decision_tree'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_decision_tree_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'decision_tree' is set
if self.api_client.client_side_validation and ('decision_tree' not in params or
params['decision_tree'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree` when calling `create_decision_tree_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'decision_tree' in params:
body_params = params['decision_tree']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DecisionTree', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_node_relationship_using_post(self, node, **kwargs): # noqa: E501
"""Create a node relationship # noqa: E501
Create a new node relationship for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_node_relationship_using_post(node, async_req=True)
>>> result = thread.get()
:param async_req bool
:param NodeRelationship node: node (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_node_relationship_using_post_with_http_info(node, **kwargs) # noqa: E501
else:
(data) = self.create_node_relationship_using_post_with_http_info(node, **kwargs) # noqa: E501
return data
def create_node_relationship_using_post_with_http_info(self, node, **kwargs): # noqa: E501
"""Create a node relationship # noqa: E501
Create a new node relationship for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_node_relationship_using_post_with_http_info(node, async_req=True)
>>> result = thread.get()
:param async_req bool
:param NodeRelationship node: node (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_node_relationship_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node' is set
if self.api_client.client_side_validation and ('node' not in params or
params['node'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node` when calling `create_node_relationship_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'node' in params:
body_params = params['node']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node_relationship', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='NodeRelationship', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_node_using_post(self, node, **kwargs): # noqa: E501
"""Create a node # noqa: E501
Create a new node for your firm that can be used in a decision tree and mapped to other nodes. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_node_using_post(node, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Node node: node (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.create_node_using_post_with_http_info(node, **kwargs) # noqa: E501
else:
(data) = self.create_node_using_post_with_http_info(node, **kwargs) # noqa: E501
return data
def create_node_using_post_with_http_info(self, node, **kwargs): # noqa: E501
"""Create a node # noqa: E501
Create a new node for your firm that can be used in a decision tree and mapped to other nodes. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.create_node_using_post_with_http_info(node, async_req=True)
>>> result = thread.get()
:param async_req bool
:param Node node: node (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method create_node_using_post" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node' is set
if self.api_client.client_side_validation and ('node' not in params or
params['node'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node` when calling `create_node_using_post`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'node' in params:
body_params = params['node']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Node', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_decision_tree_using_delete(self, decision_tree_id, **kwargs): # noqa: E501
"""Delete a decision tree # noqa: E501
Permanently delete a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_decision_tree_using_delete(decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str decision_tree_id: UUID decision_tree_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_decision_tree_using_delete_with_http_info(decision_tree_id, **kwargs) # noqa: E501
else:
(data) = self.delete_decision_tree_using_delete_with_http_info(decision_tree_id, **kwargs) # noqa: E501
return data
def delete_decision_tree_using_delete_with_http_info(self, decision_tree_id, **kwargs): # noqa: E501
"""Delete a decision tree # noqa: E501
Permanently delete a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_decision_tree_using_delete_with_http_info(decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str decision_tree_id: UUID decision_tree_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['decision_tree_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_decision_tree_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'decision_tree_id' is set
if self.api_client.client_side_validation and ('decision_tree_id' not in params or
params['decision_tree_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree_id` when calling `delete_decision_tree_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'decision_tree_id' in params:
path_params['decision_tree_id'] = params['decision_tree_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree/{decision_tree_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_node_relationship_using_delete(self, node_relationship_id, **kwargs): # noqa: E501
"""Delete a node relationship # noqa: E501
Permanently delete a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_node_relationship_using_delete(node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_relationship_id: UUID node_relationship_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_node_relationship_using_delete_with_http_info(node_relationship_id, **kwargs) # noqa: E501
else:
(data) = self.delete_node_relationship_using_delete_with_http_info(node_relationship_id, **kwargs) # noqa: E501
return data
def delete_node_relationship_using_delete_with_http_info(self, node_relationship_id, **kwargs): # noqa: E501
"""Delete a node relationship # noqa: E501
Permanently delete a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_node_relationship_using_delete_with_http_info(node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_relationship_id: UUID node_relationship_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node_relationship_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_node_relationship_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node_relationship_id' is set
if self.api_client.client_side_validation and ('node_relationship_id' not in params or
params['node_relationship_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_relationship_id` when calling `delete_node_relationship_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_relationship_id' in params:
path_params['node_relationship_id'] = params['node_relationship_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node_relationship/{node_relationship_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_node_using_delete(self, node_id, **kwargs): # noqa: E501
"""Delete a node # noqa: E501
Permanently delete a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_node_using_delete(node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_id: UUID node_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.delete_node_using_delete_with_http_info(node_id, **kwargs) # noqa: E501
else:
(data) = self.delete_node_using_delete_with_http_info(node_id, **kwargs) # noqa: E501
return data
def delete_node_using_delete_with_http_info(self, node_id, **kwargs): # noqa: E501
"""Delete a node # noqa: E501
Permanently delete a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_node_using_delete_with_http_info(node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_id: UUID node_id (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method delete_node_using_delete" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node_id' is set
if self.api_client.client_side_validation and ('node_id' not in params or
params['node_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_id` when calling `delete_node_using_delete`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_id' in params:
path_params['node_id'] = params['node_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node/{node_id}', 'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None, # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_decision_tree_all_using_get(self, **kwargs): # noqa: E501
"""List all decision tree # noqa: E501
Get the information for all decision trees defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_decision_tree_all_using_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageDecisionTree
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_decision_tree_all_using_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_decision_tree_all_using_get_with_http_info(**kwargs) # noqa: E501
return data
def get_decision_tree_all_using_get_with_http_info(self, **kwargs): # noqa: E501
"""List all decision tree # noqa: E501
Get the information for all decision trees defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_decision_tree_all_using_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageDecisionTree
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ascending', 'filter', 'order_by', 'page', 'size'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_decision_tree_all_using_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'ascending' in params:
query_params.append(('ascending', params['ascending'])) # noqa: E501
if 'filter' in params:
query_params.append(('filter', params['filter'])) # noqa: E501
if 'order_by' in params:
query_params.append(('order_by', params['order_by'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'size' in params:
query_params.append(('size', params['size'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageDecisionTree', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_decision_tree_using_get(self, decision_tree_id, **kwargs): # noqa: E501
"""Retrieve a decision tree # noqa: E501
Retrieve the information for a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_decision_tree_using_get(decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str decision_tree_id: UUID decision_tree_id (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_decision_tree_using_get_with_http_info(decision_tree_id, **kwargs) # noqa: E501
else:
(data) = self.get_decision_tree_using_get_with_http_info(decision_tree_id, **kwargs) # noqa: E501
return data
def get_decision_tree_using_get_with_http_info(self, decision_tree_id, **kwargs): # noqa: E501
"""Retrieve a decision tree # noqa: E501
Retrieve the information for a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_decision_tree_using_get_with_http_info(decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str decision_tree_id: UUID decision_tree_id (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['decision_tree_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_decision_tree_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'decision_tree_id' is set
if self.api_client.client_side_validation and ('decision_tree_id' not in params or
params['decision_tree_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree_id` when calling `get_decision_tree_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'decision_tree_id' in params:
path_params['decision_tree_id'] = params['decision_tree_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree/{decision_tree_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DecisionTree', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_node_all_using_get(self, **kwargs): # noqa: E501
"""List all nodes # noqa: E501
List all nodes that are defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_all_using_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageNode
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_node_all_using_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_node_all_using_get_with_http_info(**kwargs) # noqa: E501
return data
def get_node_all_using_get_with_http_info(self, **kwargs): # noqa: E501
"""List all nodes # noqa: E501
List all nodes that are defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_all_using_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageNode
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ascending', 'filter', 'order_by', 'page', 'size'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_node_all_using_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'ascending' in params:
query_params.append(('ascending', params['ascending'])) # noqa: E501
if 'filter' in params:
query_params.append(('filter', params['filter'])) # noqa: E501
if 'order_by' in params:
query_params.append(('order_by', params['order_by'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'size' in params:
query_params.append(('size', params['size'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageNode', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_node_relationship_all_using_get(self, **kwargs): # noqa: E501
"""List all node relationships # noqa: E501
Get the information for all the node relationships defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_relationship_all_using_get(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageNodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_node_relationship_all_using_get_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.get_node_relationship_all_using_get_with_http_info(**kwargs) # noqa: E501
return data
def get_node_relationship_all_using_get_with_http_info(self, **kwargs): # noqa: E501
"""List all node relationships # noqa: E501
Get the information for all the node relationships defined for your firm. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_relationship_all_using_get_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param bool ascending: ascending
:param str filter: filter
:param str order_by: order_by
:param int page: page
:param int size: size
:return: PageNodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['ascending', 'filter', 'order_by', 'page', 'size'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_node_relationship_all_using_get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'ascending' in params:
query_params.append(('ascending', params['ascending'])) # noqa: E501
if 'filter' in params:
query_params.append(('filter', params['filter'])) # noqa: E501
if 'order_by' in params:
query_params.append(('order_by', params['order_by'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'size' in params:
query_params.append(('size', params['size'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node_relationship', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PageNodeRelationship', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_node_relationship_using_get(self, node_relationship_id, **kwargs): # noqa: E501
"""Retrieve a node relationship # noqa: E501
Retrieve the information for a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_relationship_using_get(node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_relationship_id: UUID node_relationship_id (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_node_relationship_using_get_with_http_info(node_relationship_id, **kwargs) # noqa: E501
else:
(data) = self.get_node_relationship_using_get_with_http_info(node_relationship_id, **kwargs) # noqa: E501
return data
def get_node_relationship_using_get_with_http_info(self, node_relationship_id, **kwargs): # noqa: E501
"""Retrieve a node relationship # noqa: E501
Retrieve the information for a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_relationship_using_get_with_http_info(node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_relationship_id: UUID node_relationship_id (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node_relationship_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_node_relationship_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node_relationship_id' is set
if self.api_client.client_side_validation and ('node_relationship_id' not in params or
params['node_relationship_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_relationship_id` when calling `get_node_relationship_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_relationship_id' in params:
path_params['node_relationship_id'] = params['node_relationship_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node_relationship/{node_relationship_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='NodeRelationship', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_node_using_get(self, node_id, **kwargs): # noqa: E501
"""Retrieve a node # noqa: E501
Retrieve the information for a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_using_get(node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_id: UUID node_id (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.get_node_using_get_with_http_info(node_id, **kwargs) # noqa: E501
else:
(data) = self.get_node_using_get_with_http_info(node_id, **kwargs) # noqa: E501
return data
def get_node_using_get_with_http_info(self, node_id, **kwargs): # noqa: E501
"""Retrieve a node # noqa: E501
Retrieve the information for a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.get_node_using_get_with_http_info(node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str node_id: UUID node_id (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['node_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get_node_using_get" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'node_id' is set
if self.api_client.client_side_validation and ('node_id' not in params or
params['node_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_id` when calling `get_node_using_get`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_id' in params:
path_params['node_id'] = params['node_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node/{node_id}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Node', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_decision_tree_using_put(self, decision_tree, decision_tree_id, **kwargs): # noqa: E501
"""Update a decision tree # noqa: E501
Updated the information for a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_decision_tree_using_put(decision_tree, decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object decision_tree: decision_tree (required)
:param str decision_tree_id: UUID decision_tree_id (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_decision_tree_using_put_with_http_info(decision_tree, decision_tree_id, **kwargs) # noqa: E501
else:
(data) = self.update_decision_tree_using_put_with_http_info(decision_tree, decision_tree_id, **kwargs) # noqa: E501
return data
def update_decision_tree_using_put_with_http_info(self, decision_tree, decision_tree_id, **kwargs): # noqa: E501
"""Update a decision tree # noqa: E501
Updated the information for a decision tree. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_decision_tree_using_put_with_http_info(decision_tree, decision_tree_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object decision_tree: decision_tree (required)
:param str decision_tree_id: UUID decision_tree_id (required)
:return: DecisionTree
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['decision_tree', 'decision_tree_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_decision_tree_using_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'decision_tree' is set
if self.api_client.client_side_validation and ('decision_tree' not in params or
params['decision_tree'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree` when calling `update_decision_tree_using_put`") # noqa: E501
# verify the required parameter 'decision_tree_id' is set
if self.api_client.client_side_validation and ('decision_tree_id' not in params or
params['decision_tree_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `decision_tree_id` when calling `update_decision_tree_using_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'decision_tree_id' in params:
path_params['decision_tree_id'] = params['decision_tree_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'decision_tree' in params:
body_params = params['decision_tree']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/decision_tree/{decision_tree_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DecisionTree', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_node_relationship_using_put(self, json_node, node_relationship_id, **kwargs): # noqa: E501
"""Update a node relationship # noqa: E501
Update the information for a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_node_relationship_using_put(json_node, node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object json_node: jsonNode (required)
:param str node_relationship_id: UUID node_relationship_id (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_node_relationship_using_put_with_http_info(json_node, node_relationship_id, **kwargs) # noqa: E501
else:
(data) = self.update_node_relationship_using_put_with_http_info(json_node, node_relationship_id, **kwargs) # noqa: E501
return data
def update_node_relationship_using_put_with_http_info(self, json_node, node_relationship_id, **kwargs): # noqa: E501
"""Update a node relationship # noqa: E501
Update the information for a node relationship. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_node_relationship_using_put_with_http_info(json_node, node_relationship_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object json_node: jsonNode (required)
:param str node_relationship_id: UUID node_relationship_id (required)
:return: NodeRelationship
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['json_node', 'node_relationship_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_node_relationship_using_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'json_node' is set
if self.api_client.client_side_validation and ('json_node' not in params or
params['json_node'] is None): # noqa: E501
raise ValueError("Missing the required parameter `json_node` when calling `update_node_relationship_using_put`") # noqa: E501
# verify the required parameter 'node_relationship_id' is set
if self.api_client.client_side_validation and ('node_relationship_id' not in params or
params['node_relationship_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_relationship_id` when calling `update_node_relationship_using_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_relationship_id' in params:
path_params['node_relationship_id'] = params['node_relationship_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'json_node' in params:
body_params = params['json_node']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node_relationship/{node_relationship_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='NodeRelationship', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update_node_using_put(self, json_node, node_id, **kwargs): # noqa: E501
"""Update a node # noqa: E501
Updated the information for a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_node_using_put(json_node, node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object json_node: jsonNode (required)
:param str node_id: UUID node_id (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.update_node_using_put_with_http_info(json_node, node_id, **kwargs) # noqa: E501
else:
(data) = self.update_node_using_put_with_http_info(json_node, node_id, **kwargs) # noqa: E501
return data
def update_node_using_put_with_http_info(self, json_node, node_id, **kwargs): # noqa: E501
"""Update a node # noqa: E501
Updated the information for a node. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.update_node_using_put_with_http_info(json_node, node_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param object json_node: jsonNode (required)
:param str node_id: UUID node_id (required)
:return: Node
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['json_node', 'node_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method update_node_using_put" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'json_node' is set
if self.api_client.client_side_validation and ('json_node' not in params or
params['json_node'] is None): # noqa: E501
raise ValueError("Missing the required parameter `json_node` when calling `update_node_using_put`") # noqa: E501
# verify the required parameter 'node_id' is set
if self.api_client.client_side_validation and ('node_id' not in params or
params['node_id'] is None): # noqa: E501
raise ValueError("Missing the required parameter `node_id` when calling `update_node_using_put`") # noqa: E501
collection_formats = {}
path_params = {}
if 'node_id' in params:
path_params['node_id'] = params['node_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'json_node' in params:
body_params = params['json_node']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['*/*']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['oauth2'] # noqa: E501
return self.api_client.call_api(
'/nucleus/v1/node/{node_id}', 'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Node', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
| 41.393792
| 152
| 0.616733
| 7,933
| 68,010
| 4.98626
| 0.024203
| 0.05319
| 0.022651
| 0.029123
| 0.986677
| 0.981343
| 0.976868
| 0.971863
| 0.967793
| 0.954773
| 0
| 0.017357
| 0.296883
| 68,010
| 1,642
| 153
| 41.419001
| 0.809845
| 0.318071
| 0
| 0.830508
| 1
| 0
| 0.189148
| 0.059703
| 0
| 0
| 0
| 0
| 0
| 1
| 0.037288
| false
| 0
| 0.00452
| 0
| 0.097175
| 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
|
feb46fa9bd771779bd0ea126f4b086a2c209a3da
| 3,818
|
py
|
Python
|
src/sst/elements/ember/test/networkConfig.py
|
zhangyjBU/sst-elements
|
d2c6725ea5fbb4dd493bf7d1a8c321aea4ff556c
|
[
"BSD-3-Clause"
] | 2
|
2021-12-24T03:24:33.000Z
|
2022-01-11T23:03:39.000Z
|
src/sst/elements/ember/test/networkConfig.py
|
zhangyjBU/sst-elements
|
d2c6725ea5fbb4dd493bf7d1a8c321aea4ff556c
|
[
"BSD-3-Clause"
] | null | null | null |
src/sst/elements/ember/test/networkConfig.py
|
zhangyjBU/sst-elements
|
d2c6725ea5fbb4dd493bf7d1a8c321aea4ff556c
|
[
"BSD-3-Clause"
] | 2
|
2021-05-23T02:28:02.000Z
|
2021-09-08T13:38:46.000Z
|
import sys
class TopoInfo:
def getNumNodes(self):
pass
def getNetworkParams(self):
pass
class TorusInfo(TopoInfo):
def __init__( self, shape, local_ports ):
width = 1
self.params = {}
self.params["num_dims"] = self.calcNumDim(shape)
self.params["torus:shape"] = shape
self.params["torus:width"] = self.calcWidth(shape,width)
self.params["torus:local_ports"] = local_ports
self.numNodes = self.calcNumNodes( shape ) * local_ports
def getNetworkParams(self):
return self.params
def getNumNodes(self):
return self.numNodes
def calcNumDim(self,shape):
return len( shape.split( 'x' ) )
def calcNumNodes(self,shape):
tmp = shape.split( 'x' )
num = 1
for d in tmp:
num = num * int(d)
return num
def calcWidth(self,shape,width):
tmp = len( shape.split( 'x' ) ) - 1
retval = str(width)
count = 0
while ( count < tmp ):
retval += "x" + str(width)
count += 1
return retval
class HyperXInfo(TopoInfo):
def __init__( self, shape, local_ports ):
width = 1
self.params = {}
self.params["num_dims"] = self.calcNumDim(shape)
self.params["hyperx:shape"] = shape
self.params["hyperx:width"] = self.calcWidth(shape,width)
self.params["hyperx:local_ports"] = local_ports
self.numNodes = self.calcNumNodes( shape ) * local_ports
def getNetworkParams(self):
return self.params
def getNumNodes(self):
return self.numNodes
def calcNumDim(self,shape):
return len( shape.split( 'x' ) )
def calcNumNodes(self,shape):
tmp = shape.split( 'x' )
num = 1
for d in tmp:
num = num * int(d)
return num
def calcWidth(self,shape,width):
tmp = len( shape.split( 'x' ) ) - 1
retval = str(width)
count = 0
while ( count < tmp ):
retval += "x" + str(width)
count += 1
return retval
class FattreeInfo(TopoInfo):
def __init__( self, shape ):
self.params = {}
self.numNodes = self.calcNumNodes(shape)
self.params["fattree:shape"] = shape
def getNetworkParams(self):
return self.params
def getNumNodes(self):
return self.numNodes
def calcNumNodes(self, shape):
levels = shape.split(":")
total_hosts = 1;
for l in levels:
links = l.split(",")
total_hosts = total_hosts * int(links[0])
return total_hosts
class DragonFlyLegacyInfo(TopoInfo):
def __init__( self, shape ):
radix, lcl, glbl, nRtrs = shape.split(':')
self.params = {}
hostsPerGroup = int(nRtrs) * int(lcl)
nGrp = int(nRtrs) * int(glbl) + 1
self.params["router_radix"] = radix
self.params["dragonfly:shape"] = ""
self.params["dragonfly:hosts_per_router"] = lcl
self.params["dragonfly:routers_per_group"] = nRtrs
self.params["dragonfly:intergroup_per_router"] = glbl
self.params["dragonfly:num_groups"] = nGrp
self.params["dragonfly:algorithm"] = "minimal"
self.numNodes = nGrp * hostsPerGroup
def getNetworkParams(self):
return self.params
def getNumNodes(self):
return self.numNodes
class DragonFlyInfo(TopoInfo):
def __init__( self, shape ):
lcl, nRtrs, glbl, nGrp = shape.split(':')
self.params = {}
hostsPerGroup = int(nRtrs) * int(lcl)
self.params["dragonfly:shape"] = ""
self.params["dragonfly:hosts_per_router"] = lcl
self.params["dragonfly:routers_per_group"] = nRtrs
self.params["dragonfly:intergroup_links"] = glbl
self.params["dragonfly:num_groups"] = nGrp
self.params["dragonfly:algorithm"] = "minimal"
self.numNodes = int(nGrp) * hostsPerGroup
def getNetworkParams(self):
return self.params
def getNumNodes(self):
return self.numNodes
| 25.972789
| 65
| 0.628339
| 455
| 3,818
| 5.167033
| 0.140659
| 0.136112
| 0.09698
| 0.040408
| 0.800085
| 0.755423
| 0.755423
| 0.723097
| 0.723097
| 0.683114
| 0
| 0.004506
| 0.244369
| 3,818
| 146
| 66
| 26.150685
| 0.810399
| 0
| 0
| 0.745614
| 0
| 0
| 0.109743
| 0.042693
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.017544
| 0.008772
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
2284f2a698312a1d8ce04561f1eac7c53893a1c5
| 66,138
|
py
|
Python
|
tests/test_distributed_splunk_image.py
|
ridvan70/docker-splunk
|
467800a6038419d954eb8635a4812df643c881a8
|
[
"Apache-2.0"
] | 535
|
2016-09-29T15:38:32.000Z
|
2022-03-30T09:11:26.000Z
|
tests/test_distributed_splunk_image.py
|
ridvan70/docker-splunk
|
467800a6038419d954eb8635a4812df643c881a8
|
[
"Apache-2.0"
] | 319
|
2016-09-29T17:20:20.000Z
|
2022-03-30T13:40:47.000Z
|
tests/test_distributed_splunk_image.py
|
ridvan70/docker-splunk
|
467800a6038419d954eb8635a4812df643c881a8
|
[
"Apache-2.0"
] | 388
|
2016-09-29T19:34:34.000Z
|
2022-03-31T00:40:27.000Z
|
#!/usr/bin/env python
# encoding: utf-8
import pytest
import time
import re
import os
import tarfile
import requests
import tarfile
import docker
import json
import urllib
import yaml
import subprocess
from shutil import copy, copytree, rmtree
from executor import Executor
from docker.types import Mount
# Code to suppress insecure https warnings
import urllib3
from urllib3.exceptions import InsecureRequestWarning, SubjectAltNameWarning
urllib3.disable_warnings(InsecureRequestWarning)
urllib3.disable_warnings(SubjectAltNameWarning)
global PLATFORM
PLATFORM = "debian-9"
OLD_SPLUNK_VERSION = "7.3.4"
def pytest_generate_tests(metafunc):
# This is called for every test. Only get/set command line arguments
# if the argument is specified in the list of test "fixturenames".
option_value = metafunc.config.option.platform
global PLATFORM
PLATFORM = option_value
class TestDockerSplunk(Executor):
@classmethod
def setup_class(cls):
super(TestDockerSplunk, cls).setup_class(PLATFORM)
def setup_method(self, method):
# Make sure all running containers are removed
self._clean_docker_env()
self.compose_file_name = None
self.project_name = None
self.DIR = None
def teardown_method(self, method):
if self.compose_file_name and self.project_name:
if self.DIR:
command = "docker-compose -p {} -f {} down --volumes --remove-orphans".format(self.project_name, os.path.join(self.DIR, self.compose_file_name))
else:
command = "docker-compose -p {} -f test_scenarios/{} down --volumes --remove-orphans".format(self.project_name, self.compose_file_name)
out, err, rc = self._run_command(command)
self._clean_docker_env()
if self.DIR:
try:
rmtree(self.DIR)
except OSError:
pass
self.compose_file_name, self.project_name, self.DIR = None, None, None
def test_compose_3idx1cm_custom_repl_factor(self):
self.project_name = self.generate_random_string()
# Generate default.yml
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Get the password
password = re.search(r"^ password: (.*?)\n", output, flags=re.MULTILINE|re.DOTALL).group(1).strip()
assert password and password != "null"
# Change repl factor & search factor
output = re.sub(r' replication_factor: 3', r''' replication_factor: 2''', output)
output = re.sub(r' search_factor: 3', r''' search_factor: 1''', output)
# Write the default.yml to a file
with open(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)), "w") as f:
f.write(output)
# Standup deployment
try:
self.compose_file_name = "3idx1cm.yaml"
container_count, rc = self.compose_up(defaults_url="/tmp/defaults/{}.yml".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
# Get container logs
container_mapping = {"cm1": "cm", "idx1": "idx", "idx2": "idx", "idx3": "idx"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1", "idx2", "idx3"]
assert inventory_json["splunk_cluster_master"]["hosts"] == ["cm1"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed, and shcluster is setup properly
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 4
for container in containers:
container_name = container["Names"][0].strip("/").split("_")[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
# Check the replication factor & search factor
url = "https://localhost:{}/services/cluster/config/config?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["replication_factor"] == 2
assert json.loads(content)["entry"][0]["content"]["search_factor"] == 1
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)))
except OSError as e:
pass
def test_compose_1idx3sh1cm1dep(self):
self.project_name = self.generate_random_string()
# Generate default.yml -- for SHC, we need a common default.yml otherwise things won't work
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Get the password
password = re.search(r"^ password: (.*?)\n", output, flags=re.MULTILINE|re.DOTALL).group(1).strip()
assert password and password != "null"
# Write the default.yml to a file
with open(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)), "w") as f:
f.write(output)
# Tar the app before spinning up the scenario
with tarfile.open(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)), "w:gz") as tar:
tar.add(self.EXAMPLE_APP, arcname=os.path.basename(self.EXAMPLE_APP))
# Standup deployment
try:
self.compose_file_name = "1idx3sh1cm1dep.yaml"
container_count, rc = self.compose_up(defaults_url="/tmp/defaults/{}.yml".format(self.project_name), apps_url="http://appserver/{}.tgz".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
# Get container logs
container_mapping = {"sh1": "sh", "sh2": "sh", "sh3": "sh", "cm1": "cm", "idx1": "idx", "dep1": "dep"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1"]
assert inventory_json["splunk_search_head_captain"]["hosts"] == ["sh1"]
assert inventory_json["splunk_search_head"]["hosts"] == ["sh2", "sh3"]
assert inventory_json["splunk_cluster_master"]["hosts"] == ["cm1"]
assert inventory_json["splunk_deployer"]["hosts"] == ["dep1"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed, and shcluster is setup properly
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 7
for container in containers:
# Skip the nginx container
if "nginx" in container["Image"]:
continue
container_name = container["Names"][0].strip("/").split("_")[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name in {"sh1", "sh2", "sh3", "idx1"}:
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["version"] == "0.0.1"
# Make sure preferred captain is set
if container_name == "sh1":
url = "https://localhost:{}/servicesNS/nobody/system/configs/conf-server/shclustering?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert json.loads(content)["entry"][0]["content"]["preferred_captain"] == "1"
# Search results won't return the correct results immediately :(
time.sleep(30)
RETRIES = 10
IMPLICIT_WAIT = 6
for n in range(RETRIES):
try:
self.logger.info("Attempt #{}: checking internal search host count".format(n+1))
search_providers, distinct_hosts = self.search_internal_distinct_hosts("{}_sh1_1".format(self.project_name), password=self.password)
assert len(search_providers) == 2
assert "idx1" in search_providers and "sh1" in search_providers
assert distinct_hosts == 6
break
except Exception as e:
self.logger.error("Attempt #{} error: {}".format(n+1, str(e)))
if n < RETRIES-1:
time.sleep(IMPLICIT_WAIT)
continue
raise e
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)))
os.remove(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)))
except OSError as e:
pass
def test_compose_1uf1so(self):
# Standup deployment
self.compose_file_name = "1uf1so.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"so1": "so", "uf1": "uf"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_standalone"]["hosts"] == ["so1"]
except KeyError as e:
self.logger.error(e)
raise e
# Search results won't return the correct results immediately :(
time.sleep(30)
search_providers, distinct_hosts = self.search_internal_distinct_hosts("{}_so1_1".format(self.project_name), password=self.password)
assert len(search_providers) == 1
assert search_providers[0] == "so1"
assert distinct_hosts == 2
def test_compose_3idx1cm_default_repl_factor(self):
self.project_name = self.generate_random_string()
# Generate default.yml
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Get the password
password = re.search(r"^ password: (.*?)\n", output, flags=re.MULTILINE|re.DOTALL).group(1).strip()
assert password and password != "null"
# Write the default.yml to a file
with open(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)), "w") as f:
f.write(output)
# Standup deployment
try:
self.compose_file_name = "3idx1cm.yaml"
container_count, rc = self.compose_up(defaults_url="/tmp/defaults/{}.yml".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
# Get container logs
container_mapping = {"cm1": "cm", "idx1": "idx", "idx2": "idx", "idx3": "idx"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1", "idx2", "idx3"]
assert inventory_json["splunk_cluster_master"]["hosts"] == ["cm1"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed, and shcluster is setup properly
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 4
for container in containers:
container_name = container["Names"][0].strip("/").split("_")[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
# Check the replication factor & search factor
url = "https://localhost:{}/services/cluster/config/config?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["replication_factor"] == 3
assert json.loads(content)["entry"][0]["content"]["search_factor"] == 3
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)))
except OSError as e:
pass
def test_compose_1so1cm_connected(self):
# Standup deployment
self.compose_file_name = "1so1cm_connected.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"so1": "so", "cm1": "cm"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Check connections
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
for container in containers:
container_name = container["Names"][0].strip("/").split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/searchheads?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
assert len(output["entry"]) == 2
for sh in output["entry"]:
assert sh["content"]["label"] in ["cm1", "so1"]
assert sh["content"]["status"] == "Connected"
def test_compose_1so1cm_unconnected(self):
# Standup deployment
self.compose_file_name = "1so1cm_unconnected.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"so1": "so", "cm1": "cm"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Check connections
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
for container in containers:
container_name = container["Names"][0].strip("/").split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/searchheads?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
assert len(output["entry"]) == 1
assert output["entry"][0]["content"]["label"] == "cm1"
assert output["entry"][0]["content"]["status"] == "Connected"
def test_adhoc_1cm_idxc_pass4symmkey(self):
# Create the container
cid = None
try:
self.project_name = self.generate_random_string()
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, ports=[8089], name=self.project_name,
environment={
"DEBUG": "true",
"SPLUNK_START_ARGS": "--accept-license",
"SPLUNK_PASSWORD": self.password,
"SPLUNK_ROLE": "splunk_cluster_master",
"SPLUNK_INDEXER_URL": "idx1",
"SPLUNK_IDXC_PASS4SYMMKEY": "keepsummerbeingliketotallystokedaboutlikethegeneralvibeandstuff",
"SPLUNK_IDXC_LABEL": "keepsummersafe",
},
host_config=self.client.create_host_config(port_bindings={8089: ("0.0.0.0",)})
)
cid = cid.get("Id")
self.client.start(cid)
# Poll for the container to be ready
assert self.wait_for_containers(1, name=self.project_name)
# Check splunkd
splunkd_port = self.client.port(cid, 8089)[0]["HostPort"]
url = "https://localhost:{}/services/server/info".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
# Check if the cluster label and pass4SymmKey line up
exec_command = self.client.exec_create(cid, "cat /opt/splunk/etc/system/local/server.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "cluster_label = keepsummersafe" in std_out
pass4SymmKey = re.search(r'\[clustering\].*?pass4SymmKey = (.*?)\n', std_out, flags=re.MULTILINE|re.DOTALL).group(1).strip()
exec_command = self.client.exec_create(cid, "/opt/splunk/bin/splunk show-decrypted --value '{}'".format(pass4SymmKey), user="splunk")
std_out = self.client.exec_start(exec_command)
assert "keepsummerbeingliketotallystokedaboutlikethegeneralvibeandstuff" in std_out
except Exception as e:
self.logger.error(e)
raise e
finally:
if cid:
self.client.remove_container(cid, v=True, force=True)
def test_compose_1cm_smartstore(self):
# Generate default.yml
self.project_name = self.generate_random_string()
self.DIR = os.path.join(self.FIXTURES_DIR, self.project_name)
os.mkdir(self.DIR)
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Get the password
password = re.search(r"^ password: (.*?)\n", output, flags=re.MULTILINE|re.DOTALL).group(1).strip()
assert password and password != "null"
# Add a custom conf file
output = re.sub(r' smartstore: null', r''' smartstore:
index:
- indexName: default
remoteName: remote_vol
scheme: s3
remoteLocation: smartstore-test
s3:
access_key: abcd
secret_key: 1234
endpoint: https://s3-region.amazonaws.com''', output)
# Write the default.yml to a file
with open(os.path.join(self.DIR, "default.yml"), "w") as f:
f.write(output)
# Create the container and mount the default.yml
cid = None
try:
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, ports=[8089],
volumes=["/tmp/defaults/default.yml"], name=self.project_name,
environment={
"DEBUG": "true",
"SPLUNK_START_ARGS": "--accept-license",
"SPLUNK_PASSWORD": self.password,
"SPLUNK_ROLE": "splunk_cluster_master",
"SPLUNK_INDEXER_URL": "idx1"
},
host_config=self.client.create_host_config(binds=[self.DIR + "/default.yml:/tmp/defaults/default.yml"],
port_bindings={8089: ("0.0.0.0",)})
)
cid = cid.get("Id")
self.client.start(cid)
# Poll for the container to be ready
assert self.wait_for_containers(1, name=self.project_name)
# Check splunkd
splunkd_port = self.client.port(cid, 8089)[0]["HostPort"]
url = "https://localhost:{}/services/server/info".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
# Check if the created file exists
exec_command = self.client.exec_create(cid, "cat /opt/splunk/etc/master-apps/_cluster/local/indexes.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert 'remotePath = volume:remote_vol/$_index_name' in std_out
assert 'repFactor = auto' in std_out
assert '[volume:remote_vol]' in std_out
assert 'storageType = remote' in std_out
assert 'path = s3://smartstore-test' in std_out
assert 'remote.s3.access_key = abcd' in std_out
assert 'remote.s3.secret_key = 1234' in std_out
assert 'remote.s3.endpoint = https://s3-region.amazonaws.com' in std_out
except Exception as e:
self.logger.error(e)
raise e
finally:
if cid:
self.client.remove_container(cid, v=True, force=True)
try:
os.remove(os.path.join(self.DIR, "default.yml"))
except OSError:
pass
def test_compose_1sh1cm(self):
# Standup deployment
self.compose_file_name = "1sh1cm.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"sh1": "sh", "cm1": "cm"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Check connections
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
for container in containers:
container_name = container["Names"][0].strip("/").split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/searchheads?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
# There's only 1 "standalone" search head connected and 1 cluster master
assert len(output["entry"]) == 2
for sh in output["entry"]:
assert sh["content"]["label"] == "sh1" or sh["content"]["label"] == "cm1"
assert sh["content"]["status"] == "Connected"
def test_compose_1sh1cm1dmc(self):
# Standup deployment
self.compose_file_name = "1sh1cm1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 2, 0, 2, 1, 3)
def test_compose_1sh2idx2hf1dmc(self):
# Standup deployment
self.compose_file_name = "1sh2idx2hf1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 3, 2, 2, 0, 4)
def test_compose_3idx1cm1dmc(self):
# Standup deployment
self.compose_file_name = "3idx1cm1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=900)
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 4, 3, 2, 1, 5)
def test_compose_1uf1so1dmc(self):
# Standup deployment
self.compose_file_name = "1uf1so1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 1, 1, 1, 0, 2)
def test_compose_1so1dmc(self):
# Standup deployment
self.compose_file_name = "1so1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 1, 1, 1, 0, 2)
def test_compose_2idx2sh1dmc(self):
# Standup deployment
self.compose_file_name = "2idx2sh1dmc.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
self.check_dmc(containers, 4, 2, 3, 0, 5)
def test_compose_2idx2sh(self):
# Standup deployment
self.compose_file_name = "2idx2sh.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"sh1": "sh", "sh2": "sh", "idx1": "idx", "idx2": "idx"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1", "idx2"]
assert inventory_json["splunk_search_head"]["hosts"] == ["sh1", "sh2"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Check connections
idx_list = ["idx1", "idx2"]
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
for container in containers:
c_name = container["Labels"]["com.docker.compose.service"]
if "sh1" in c_name or "sh2" in c_name:
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
url = "https://localhost:{}/services/search/distributed/peers?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
output = json.loads(content)
peers = [x["content"]["peerName"] for x in output["entry"]]
assert len(peers) == 2 and set(peers) == set(idx_list)
# Search results won't return the correct results immediately :(
time.sleep(30)
search_providers, distinct_hosts = self.search_internal_distinct_hosts("{}_sh1_1".format(self.project_name), password=self.password)
assert len(search_providers) == 3
assert "idx1" in search_providers and "idx2" in search_providers and "sh1" in search_providers
assert distinct_hosts == 4
def test_compose_2idx2sh1cm(self):
# Standup deployment
self.compose_file_name = "2idx2sh1cm.yaml"
self.project_name = self.generate_random_string()
container_count, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
# Get container logs
container_mapping = {"sh1": "sh", "sh2": "sh", "idx1": "idx", "idx2": "idx", "cm1": "cm"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_cluster_master"]["hosts"] == ["cm1"]
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1", "idx2"]
assert inventory_json["splunk_search_head"]["hosts"] == ["sh1", "sh2"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Check connections
idx_list = ["idx1", "idx2"]
sh_list = ["sh1", "sh2", "cm1"]
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
for container in containers:
container_name = container["Names"][0].strip("/").split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "cm1":
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/searchheads?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
for sh in output["entry"]:
if sh["content"]["label"] in sh_list and sh["content"]["status"] == "Connected":
sh_list.remove(sh["content"]["label"])
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/peers?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
for idx in output["entry"]:
if idx["content"]["label"] in idx_list and idx["content"]["status"] == "Up":
idx_list.remove(idx["content"]["label"])
assert len(idx_list) == 0 and len(sh_list) == 0
# Add one more indexer
self.compose_file_name = "2idx2sh1cm_idx3.yaml"
_, rc = self.compose_up()
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count+1, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
retries = 10
for n in range(retries):
try:
status, content = self.handle_request_retry("GET", "https://localhost:{}/services/cluster/master/peers?output_mode=json".format(splunkd_port),
{"auth": ("admin", self.password), "verify": False})
assert status == 200
output = json.loads(content)
assert len(output["entry"]) == 3
indexers = []
for idx in output["entry"]:
indexers.append(idx["content"]["label"])
assert "idx1" in indexers
assert "idx2" in indexers
assert "idx3" in indexers
break
except Exception as err:
time.sleep(10)
if n < retries-1:
continue
raise err
def test_compose_1deployment1cm(self):
self.project_name = self.generate_random_string()
# Tar the app before spinning up the scenario
with tarfile.open(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)), "w:gz") as tar:
tar.add(self.EXAMPLE_APP, arcname=os.path.basename(self.EXAMPLE_APP))
# Generate default.yml
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Add a custom conf file
output = re.sub(r' group: splunk', r''' group: splunk
conf:
- key: user-prefs
value:
directory: /opt/splunk/etc/users/admin/user-prefs/local
content:
general:
default_namespace: appboilerplate
search_syntax_highlighting: dark
search_assistant:
"serverClass:secrets:app:test": {}''', output)
# Write the default.yml to a file
with open(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)), "w") as f:
f.write(output)
# Standup deployment
try:
self.compose_file_name = "1deployment1cm.yaml"
container_count, rc = self.compose_up(defaults_url="/tmp/defaults/{}.yml".format(self.project_name), apps_url="http://appserver/{}.tgz".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"cm1": "cm", "depserver1": "deployment_server"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed and certain subdirectories are excluded
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 3
for container in containers:
# Skip the nginx container
if "nginx" in container["Image"]:
continue
container_name = container["Names"][0].strip("/").split("_")[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "depserver1":
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
resp = requests.get(url, auth=("admin", self.password), verify=False)
# Deployment server should *not* install the app
assert resp.status_code == 404
# Check that the app exists in etc/apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "state = disabled" in std_out
# Check that the app exists in etc/deployment-apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/deployment-apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/deployment-apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file " == std_out
if container_name == "cm1":
# Check if the created file exists
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/users/admin/user-prefs/local/user-prefs.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "[serverClass:secrets:app:test]" in std_out
assert "[general]" in std_out
assert "default_namespace = appboilerplate" in std_out
assert "search_syntax_highlighting = dark" in std_out
assert "search_assistant" in std_out
RETRIES = 5
for i in range(RETRIES):
try:
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["version"] == "0.0.1"
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file" in std_out
assert "state = enabled" in std_out
except Exception as e:
self.logger.error(e)
if i < RETRIES-1:
time.sleep(30)
continue
raise e
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.SCENARIOS_DIR, "defaults", "{}.yml".format(self.project_name)))
os.remove(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)))
except OSError as e:
pass
def test_compose_1deployment1so(self):
self.project_name = self.generate_random_string()
# Tar the app before spinning up the scenario
with tarfile.open(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)), "w:gz") as tar:
tar.add(self.EXAMPLE_APP, arcname=os.path.basename(self.EXAMPLE_APP))
# Standup deployment
try:
self.compose_file_name = "1deployment1so.yaml"
container_count, rc = self.compose_up(apps_url="http://appserver/{}.tgz".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"{}_so1_1".format(self.project_name): "so", "{}_depserver1_1".format(self.project_name): "deployment_server"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs(container)
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json(container)
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed and certain subdirectories are excluded
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 3
for container in containers:
# Skip the nginx container
if "nginx" in container["Image"]:
continue
container_name = container["Names"][0].strip("/").split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "depserver1":
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
resp = requests.get(url, auth=("admin", self.password), verify=False)
# Deployment server should *not* install the app
assert resp.status_code == 404
# Check that the app exists in etc/apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "state = disabled" in std_out
# Check that the app exists in etc/deployment-apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/deployment-apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/deployment-apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file " == std_out
if container_name == "so1":
RETRIES = 5
for i in range(RETRIES):
try:
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["version"] == "0.0.1"
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file" in std_out
assert "state = enabled" in std_out
except Exception as e:
self.logger.error(e)
if i < RETRIES-1:
time.sleep(30)
continue
raise e
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)))
except OSError:
pass
def test_compose_1deployment1uf(self):
self.project_name = self.generate_random_string()
# Tar the app before spinning up the scenario
with tarfile.open(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)), "w:gz") as tar:
tar.add(self.EXAMPLE_APP, arcname=os.path.basename(self.EXAMPLE_APP))
# Standup deployment
try:
self.compose_file_name = "1deployment1uf.yaml"
container_count, rc = self.compose_up(apps_url="http://appserver/{}.tgz".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name))
# Get container logs
container_mapping = {"{}_uf1_1".format(self.project_name): "uf", "{}_depserver1_1".format(self.project_name): "deployment_server"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs(container)
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json(container)
self.check_common_keys(inventory_json, container_mapping[container])
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed, and shcluster is setup properly
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 3
for container in containers:
# Skip the nginx container
if "nginx" in container["Image"]:
continue
container_name = container["Names"][0].strip("/")
container_name = container_name.split('_')[1]
splunkd_port = self.client.port(container["Id"], 8089)[0]["HostPort"]
if container_name == "depserver1":
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
resp = requests.get(url, auth=("admin", self.password), verify=False)
# Deployment server should *not* install the app
assert resp.status_code == 404
# Check that the app exists in etc/apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "state = disabled" in std_out
# Check that the app exists in etc/deployment-apps
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunk/etc/deployment-apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunk/etc/deployment-apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file " == std_out
if container_name == "uf1":
RETRIES = 5
for i in range(RETRIES):
try:
# Check the app and version
url = "https://localhost:{}/servicesNS/nobody/splunk_app_example/configs/conf-app/launcher?output_mode=json".format(splunkd_port)
kwargs = {"auth": ("admin", self.password), "verify": False}
status, content = self.handle_request_retry("GET", url, kwargs)
assert status == 200
assert json.loads(content)["entry"][0]["content"]["version"] == "0.0.1"
exec_command = self.client.exec_create(container["Id"], "ls /opt/splunkforwarder/etc/apps/splunk_app_example/local/", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "savedsearches.conf" in std_out
assert "app.conf" in std_out
exec_command = self.client.exec_create(container["Id"], "cat /opt/splunkforwarder/etc/apps/splunk_app_example/local/app.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "# Autogenerated file" in std_out
assert "state = enabled" in std_out
except Exception as e:
self.logger.error(e)
if i < RETRIES-1:
time.sleep(30)
continue
raise e
except Exception as e:
self.logger.error(e)
raise e
finally:
try:
os.remove(os.path.join(self.FIXTURES_DIR, "{}.tgz".format(self.project_name)))
except OSError:
pass
def test_compose_3idx1cm_splunktcp_ssl(self):
self.project_name = self.generate_random_string()
# Generate default.yml
cid = self.client.create_container(self.SPLUNK_IMAGE_NAME, tty=True, command="create-defaults")
self.client.start(cid.get("Id"))
output = self.get_container_logs(cid.get("Id"))
self.client.remove_container(cid.get("Id"), v=True, force=True)
# Get the password
password = re.search(r"^ password: (.*?)\n", output, flags=re.MULTILINE|re.DOTALL).group(1).strip()
assert password and password != "null"
# Commands to generate self-signed certificates for Splunk here: https://docs.splunk.com/Documentation/Splunk/latest/Security/ConfigureSplunkforwardingtousesignedcertificates
passphrase = "carolebaskindidit"
cmds = [
"openssl genrsa -aes256 -passout pass:{pw} -out {path}/ca.key 2048".format(pw=passphrase, path=self.DEFAULTS_DIR),
"openssl req -new -key {path}/ca.key -passin pass:{pw} -out {path}/ca.csr -subj /CN=localhost".format(pw=passphrase, path=self.DEFAULTS_DIR),
"openssl x509 -req -in {path}/ca.csr -sha512 -passin pass:{pw} -signkey {path}/ca.key -CAcreateserial -out {path}/ca.pem -days 3".format(pw=passphrase, path=self.DEFAULTS_DIR),
"openssl genrsa -aes256 -passout pass:{pw} -out {path}/server.key 2048".format(pw=passphrase, path=self.DEFAULTS_DIR),
"openssl req -new -passin pass:{pw} -key {path}/server.key -out {path}/server.csr -subj /CN=localhost".format(pw=passphrase, path=self.DEFAULTS_DIR),
"openssl x509 -req -passin pass:{pw} -in {path}/server.csr -SHA256 -CA {path}/ca.pem -CAkey {path}/ca.key -CAcreateserial -out {path}/server.pem -days 3".format(pw=passphrase, path=self.DEFAULTS_DIR),
"cat {path}/server.pem {path}/server.key {path}/ca.pem > {path}/cert.pem".format(path=self.DEFAULTS_DIR)
]
for cmd in cmds:
execute_cmd = subprocess.check_output(["/bin/sh", "-c", cmd])
# Update s2s ssl settings
output = re.sub(r''' s2s:.*?ssl: false''', r''' s2s:
ca: /tmp/defaults/ca.pem
cert: /tmp/defaults/cert.pem
enable: true
password: {}
port: 9997
ssl: true'''.format(passphrase), output, flags=re.DOTALL)
# Write the default.yml to a file
with open(os.path.join(self.DEFAULTS_DIR, "{}.yml".format(self.project_name)), "w") as f:
f.write(output)
# Standup deployment
try:
self.compose_file_name = "3idx1cm.yaml"
container_count, rc = self.compose_up(defaults_url="/tmp/defaults/{}.yml".format(self.project_name))
assert rc == 0
# Wait for containers to come up
assert self.wait_for_containers(container_count, label="com.docker.compose.project={}".format(self.project_name), timeout=600)
# Get container logs
container_mapping = {"cm1": "cm", "idx1": "idx", "idx2": "idx", "idx3": "idx"}
for container in container_mapping:
# Check ansible version & configs
ansible_logs = self.get_container_logs("{}_{}_1".format(self.project_name, container))
self.check_ansible(ansible_logs)
# Check values in log output
inventory_json = self.extract_json("{}_{}_1".format(self.project_name, container))
self.check_common_keys(inventory_json, container_mapping[container])
try:
assert inventory_json["splunk_indexer"]["hosts"] == ["idx1", "idx2", "idx3"]
assert inventory_json["splunk_cluster_master"]["hosts"] == ["cm1"]
except KeyError as e:
self.logger.error(e)
raise e
# Check Splunkd on all the containers
assert self.check_splunkd("admin", self.password)
# Make sure apps are installed, and shcluster is setup properly
containers = self.client.containers(filters={"label": "com.docker.compose.project={}".format(self.project_name)})
assert len(containers) == 4
for container in containers:
container_name = container["Names"][0].strip("/").split("_")[1]
cid = container["Id"]
exec_command = self.client.exec_create(cid, "cat /opt/splunk/etc/system/local/inputs.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "[splunktcp-ssl:9997]" in std_out
assert "disabled = 0" in std_out
assert "[SSL]" in std_out
assert "serverCert = /tmp/defaults/cert.pem" in std_out
assert "[sslConfig]" not in std_out
assert "rootCA = /tmp/defaults/ca.pem" in std_out
if container_name == "cm1":
exec_command = self.client.exec_create(cid, "cat /opt/splunk/etc/system/local/outputs.conf", user="splunk")
std_out = self.client.exec_start(exec_command)
assert "clientCert = /tmp/defaults/cert.pem" in std_out
assert "sslPassword" in std_out
assert "useClientSSLCompression = true" in std_out
# Check that data is being forwarded properly
time.sleep(30)
search_providers, distinct_hosts = self.search_internal_distinct_hosts("{}_cm1_1".format(self.project_name), password=self.password)
assert len(search_providers) == 4
assert "idx1" in search_providers
assert "idx2" in search_providers
assert "idx3" in search_providers
assert distinct_hosts == 4
except Exception as e:
self.logger.error(e)
raise e
finally:
files = [
os.path.join(self.DEFAULTS_DIR, "ca.key"),
os.path.join(self.DEFAULTS_DIR, "ca.csr"),
os.path.join(self.DEFAULTS_DIR, "ca.pem"),
os.path.join(self.DEFAULTS_DIR, "server.key"),
os.path.join(self.DEFAULTS_DIR, "server.csr"),
os.path.join(self.DEFAULTS_DIR, "server.pem"),
os.path.join(self.DEFAULTS_DIR, "cert.pem"),
os.path.join(self.DEFAULTS_DIR, "{}.yml".format(self.project_name))
]
self.cleanup_files(files)
| 59.745257
| 220
| 0.582146
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| 0.037204
| 0.050733
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| 0.850325
| 0.838702
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0
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229d3a5fba43840eafc7a8fc273b583ec8760d17
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|
py
|
Python
|
tests/pyflakes_bears/pep8_naming_test_files/E11/invalid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | null | null | null |
tests/pyflakes_bears/pep8_naming_test_files/E11/invalid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | 12
|
2018-05-21T06:12:59.000Z
|
2018-07-30T10:37:16.000Z
|
tests/pyflakes_bears/pep8_naming_test_files/E11/invalid.py
|
MacBox7/coala-pyflakes
|
637f8a2e77973384be79d30b0dae1f43072e60c8
|
[
"MIT"
] | 1
|
2018-06-10T16:16:47.000Z
|
2018-06-10T16:16:47.000Z
|
class Foo:
[mix_Case, var2] = range(2)
def bar():
'''
>>> class Foo():
... mix_Case = 0
'''
pass
| 13.4
| 31
| 0.395522
| 15
| 134
| 3.4
| 0.733333
| 0.313725
| 0.431373
| 0.588235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.037975
| 0.410448
| 134
| 9
| 32
| 14.888889
| 0.607595
| 0.276119
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
22a99f31ad3d646eaec1ecd1f7a1bf796c852740
| 168,089
|
py
|
Python
|
test/IECoreHoudini/SceneCacheTest.py
|
goddardl/cortex
|
323a160fd831569591cde1504f415a638f8b85bc
|
[
"BSD-3-Clause"
] | null | null | null |
test/IECoreHoudini/SceneCacheTest.py
|
goddardl/cortex
|
323a160fd831569591cde1504f415a638f8b85bc
|
[
"BSD-3-Clause"
] | null | null | null |
test/IECoreHoudini/SceneCacheTest.py
|
goddardl/cortex
|
323a160fd831569591cde1504f415a638f8b85bc
|
[
"BSD-3-Clause"
] | null | null | null |
##########################################################################
#
# Copyright (c) 2013-2015, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of Image Engine Design nor the names of any
# other contributors to this software may be used to endorse or
# promote products derived from this software without specific prior
# written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
# IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
##########################################################################
import os
import hou
import IECore
import IECoreHoudini
import unittest
class TestSceneCache( IECoreHoudini.TestCase ) :
__testFile = "test/test.scc"
__testOutFile = "test/testOut.scc"
__testLinkedOutFile = "test/testOut.lscc"
__testHip = "test/test.hip"
__testBgeo = "test/test.bgeo"
__testBgeoGz = "test/test.bgeo.gz"
__testGeo = "test/test.geo"
def sop( self, parent=None ) :
if not parent :
parent = hou.node( "/obj" ).createNode( "geo", run_init_scripts=False )
sop = parent.createNode( "ieSceneCacheSource" )
sop.parm( "file" ).set( TestSceneCache.__testFile )
return sop
def xform( self, parent=None ) :
if not parent :
parent = hou.node( "/obj" )
xform = parent.createNode( "ieSceneCacheTransform" )
xform.parm( "file" ).set( TestSceneCache.__testFile )
return xform
def geometry( self, parent=None ) :
if not parent :
parent = hou.node( "/obj" )
geometry = parent.createNode( "ieSceneCacheGeometry" )
geometry.parm( "file" ).set( TestSceneCache.__testFile )
return geometry
def sopXform( self, parent=None ) :
if not parent :
parent = hou.node( "/obj" ).createNode( "geo", run_init_scripts=False )
box1 = parent.createNode( "box" )
box2 = parent.createNode( "box" )
box3 = parent.createNode( "box" )
name1 = box1.createOutputNode( "name" )
name1.parm( "name1" ).set( "/1" )
name2 = box2.createOutputNode( "name" )
name2.parm( "name1" ).set( "/1/2" )
name3 = box3.createOutputNode( "name" )
name3.parm( "name1" ).set( "/1/2/3" )
merge = name1.createOutputNode( "merge" )
merge.setInput( 1, name2 )
merge.setInput( 2, name3 )
sop = merge.createOutputNode( "ieSceneCacheTransform" )
sop.parm( "file" ).set( TestSceneCache.__testFile )
return sop
def rop( self, rootObject ) :
rop = hou.node( "/out" ).createNode( "ieSceneCacheWriter" )
rop.parm( "file" ).set( TestSceneCache.__testOutFile )
rop.parm( "rootObject" ).set( rootObject.path() )
rop.parmTuple( "f" ).deleteAllKeyframes()
return rop
def writeSCC( self, rotation=IECore.V3d( 0, 0, 0 ), time=0 ) :
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
sc = scene.createChild( str( 1 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( 1, 0, 0 ) ] * 6 ) )
sc.writeObject( mesh, time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 1, 0, 0 ) )
matrix = matrix.rotate( rotation )
sc.writeTransform( IECore.M44dData( matrix ), time )
sc = sc.createChild( str( 2 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( 0, 1, 0 ) ] * 6 ) )
sc.writeObject( mesh, time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, 0, 0 ) )
matrix = matrix.rotate( rotation )
sc.writeTransform( IECore.M44dData( matrix ), time )
sc = sc.createChild( str( 3 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( 0, 0, 1 ) ] * 6 ) )
sc.writeObject( mesh, time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, 0, 0 ) )
matrix = matrix.rotate( rotation )
sc.writeTransform( IECore.M44dData( matrix ), time )
return scene
def testBadFile( self ) :
def testNode( node ) :
node.parm( "file" ).set( "" )
self.assertRaises( hou.OperationFailed, IECore.curry( node.cook, True ) )
self.failUnless( node.errors() )
node.parm( "file" ).set( "/tmp/fake" )
self.assertRaises( hou.OperationFailed, IECore.curry( node.cook, True ) )
self.failUnless( node.errors() )
node.parm( "file" ).set( TestSceneCache.__testFile )
self.assertRaises( hou.OperationFailed, IECore.curry( node.cook, True ) )
self.failUnless( node.errors() )
self.writeSCC()
node.cook( force=True )
self.failUnless( not node.errors() )
testNode( self.sop() )
os.remove( TestSceneCache.__testFile )
testNode( self.xform() )
os.remove( TestSceneCache.__testFile )
testNode( self.geometry() )
os.remove( TestSceneCache.__testFile )
testNode( self.sopXform() )
def testBadPath( self ) :
def testNode( node ) :
node.cook( force=True )
self.failUnless( not node.errors() )
node.parm( "root" ).set( "/1/fake" )
self.assertRaises( hou.OperationFailed, IECore.curry( node.cook, True ) )
self.failUnless( node.errors() )
node.parm( "root" ).set( "/1/2" )
node.cook( force=True )
self.failUnless( not node.errors() )
if isinstance( node, hou.ObjNode ) :
node.parm( "expand" ).pressButton()
self.failUnless( node.children() )
node.parm( "root" ).set( "/1/fake" )
node.parm( "collapse" ).pressButton()
node.parm( "expand" ).pressButton()
self.assertEqual( node.children(), tuple() )
self.writeSCC()
testNode( self.sop() )
testNode( self.xform() )
testNode( self.geometry() )
testNode( self.sopXform() )
def testObjSubPaths( self ) :
self.writeSCC()
def testSimple( node ) :
node.parm( "reload" ).pressButton()
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
node.parm( "root" ).set( "/1" )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 1, 0, 0 ) )
node.parm( "root" ).set( "/1/2" )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 3, 0, 0 ) )
node.parm( "root" ).set( "/1/2/3" )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 6, 0, 0 ) )
xform = self.xform()
geo = self.geometry()
testSimple( xform )
testSimple( geo )
self.writeSCC( rotation = IECore.V3d( 0, 0, IECore.degreesToRadians( -30 ) ) )
def testRotated( node ) :
node.parm( "reload" ).pressButton()
node.parm( "root" ).set( "/" )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( node.parmTransform().extractRotates(), hou.Vector3( 0, 0, 0 ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, 0 ) ) )
node.parm( "root" ).set( "/1" )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 1, 0, 0 ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, -30 ) ) )
node.parm( "root" ).set( "/1/2" )
self.failUnless( node.parmTransform().extractTranslates().isAlmostEqual( hou.Vector3( 2.73205, -1, 0 ) ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, -60 ) ) )
node.parm( "root" ).set( "/1/2/3" )
self.failUnless( node.parmTransform().extractTranslates().isAlmostEqual( hou.Vector3( 4.23205, -3.59808, 0 ) ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, -90 ) ) )
testRotated( xform )
testRotated( geo )
def testObjSpaceModes( self ) :
self.writeSCC()
def testSimple( node ) :
node.parm( "reload" ).pressButton()
node.parm( "root" ).set( "/1/2" )
self.assertEqual( node.parm( "space" ).eval(), IECoreHoudini.SceneCacheNode.Space.World )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 3, 0, 0 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Path )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Local )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 2, 0, 0 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Object )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
xform = self.xform()
geo = self.geometry()
testSimple( xform )
testSimple( geo )
self.writeSCC( rotation = IECore.V3d( 0, 0, IECore.degreesToRadians( -30 ) ) )
def testRotated( node ) :
node.parm( "reload" ).pressButton()
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.World )
self.failUnless( node.parmTransform().extractTranslates().isAlmostEqual( hou.Vector3( 2.73205, -1, 0 ) ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, -60 ) ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Path )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, 0 ) ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Local )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 2, 0, 0 ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, -30 ) ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Object )
self.assertEqual( node.parmTransform().extractTranslates(), hou.Vector3( 0, 0, 0 ) )
self.failUnless( node.parmTransform().extractRotates().isAlmostEqual( hou.Vector3( 0, 0, 0 ) ) )
testRotated( xform )
testRotated( geo )
def testSopSubPaths( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1/2" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1/2/3" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
def testSopSpaceModes( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
self.assertEqual( node.parm( "space" ).eval(), IECoreHoudini.SceneCacheNode.Space.World )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Path )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Local )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 2, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 2.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Object )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
node.parm( "root" ).set( "/1" )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.World )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Path )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 2, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 5, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 2.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 5.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Local )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 2, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 2.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Object )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
def testSopTransformsPrimvars( self ) :
def writeTestFile() :
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
sc = scene.createChild( str( 1 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 1, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 2 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 3 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Pref"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Vertex, mesh["P"].data )
mesh["otherP"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Vertex, mesh["P"].data )
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Vertex, IECore.V3fVectorData( [ IECore.V3f( 0, 0, 1 ) ] * 8 ) )
sc.writeObject( mesh, 0 )
writeTestFile()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.World )
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["Cd", "P", "Pw", "otherP", "rest"] )
# P is transformed
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
# other Point data is as well
self.assertEqual( prims[0].vertex( 0 ).point().attribValue( "otherP" ), ( 6, 0, 0 ) )
# rest is not transformed
self.assertEqual( prims[0].vertex( 0 ).point().attribValue( "rest" ), ( 0, 0, 0 ) )
# other data is not
self.assertEqual( prims[0].vertex( 0 ).point().attribValue( "Cd" ), ( 0, 0, 1 ) )
def testSopShapeFilter( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "shapeFilter" ).set( "* ^2" )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1','/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 2 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "shapeFilter" ).set( "3" )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = node.geometry().prims()
self.assertEqual( len(prims), 1 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
node.parm( "shapeFilter" ).set( "" )
self.assertEqual( len(node.geometry().prims()), 0 )
self.assertEqual( len(node.geometry().primGroups()), 0 )
def testSopAttributeFilter( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
node.parm( "attributeFilter" ).set( "P" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
node.parm( "attributeFilter" ).set( "* ^Cs" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
node.parm( "attributeFilter" ).set( "Cs" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
node.parm( "attributeFilter" ).set( "" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
def testSopAttributeCopy( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
# copying as expected, including automatic translation to rest
node.parm( "attributeCopy" ).set( "P:Pref" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw", "rest"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
# ensure the rest does not transform along with P by making sure it matches the static P
original = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
for point in node.geometry().points() :
rest = point.attribValue( "rest" )
self.assertNotEqual( point.attribValue( "P" ), rest )
self.assertEqual( original["P"].data[ point.number() % 8 ], IECore.V3f( rest[0], rest[1], rest[2] ) )
# copying multiple prim vars
node.parm( "attributeCopy" ).set( "P:Pref Cs:Cspecial" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw", "rest"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "Cspecial", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
# ensure the rest does not transform along with P by making sure it matches the static P
for point in node.geometry().points() :
rest = point.attribValue( "rest" )
self.assertNotEqual( point.attribValue( "P" ), rest )
self.assertEqual( original["P"].data[ point.number() % 8 ], IECore.V3f( rest[0], rest[1], rest[2] ) )
for prim in node.geometry().prims() :
self.assertEqual( prim.attribValue( "Cd" ), prim.attribValue( "Cspecial" ) )
# copied prim var makes it through even though filtered one doesn't
node.parm( "attributeFilter" ).set( "* ^Cs" )
node.parm( "attributeCopy" ).set( "Cs:Cspecial" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cspecial", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
# nonexistant prim vars are a no-op
node.parm( "attributeFilter" ).set( "*" )
node.parm( "attributeCopy" ).set( "fake:notThere" )
self.assertEqual( len(node.geometry().prims()), 18 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
# still works for Cortex geo
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
node.parm( "attributeCopy" ).set( "P:Pref" )
self.assertEqual( len(node.geometry().prims()), 3 )
self.assertEqual( sorted( [ x.name() for x in node.geometry().pointAttribs() ] ), ["P", "Pw"] )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["name"] )
self.assertEqual( node.geometry().vertexAttribs(), tuple() )
self.assertEqual( node.geometry().globalAttribs(), tuple() )
result = IECoreHoudini.FromHoudiniCompoundObjectConverter( node ).convert()
self.assertEqual( sorted( result.keys() ), [ "/1", "/1/2", "/1/2/3" ] )
for key in result.keys() :
self.assertTrue( isinstance( result[key], IECore.MeshPrimitive ) )
self.assertEqual( sorted( result[key].keys() ), [ "Cs", "P", "Pref" ] )
self.assertNotEqual( result[key]["P"], result[key]["Pref"] )
self.assertEqual( original["P"], result[key]["Pref"] )
def testExpandGeo( self ) :
self.writeSCC()
geo = self.geometry()
self.assertEqual( geo.children(), tuple() )
geo.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
geo.parm( "expand" ).pressButton()
self.assertEqual( len(geo.children()), 1 )
node = geo.children()[0]
self.assertEqual( node.name(), "root" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 6, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
geo.parm( "root" ).set( "/1/2" )
geo.parm( "collapse" ).pressButton()
geo.parm( "expand" ).pressButton()
self.assertEqual( len(geo.children()), 1 )
node = geo.children()[0]
self.assertEqual( node.name(), "2" )
node.parm( "root" ).set( "/1/2" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 6, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( geo.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
def cookAll( self, node ) :
node.cook( force=True )
for child in node.children() :
self.cookAll( child )
def testExpandSubNetwork( self ) :
self.writeSCC()
xform = self.xform()
self.assertEqual( xform.children(), tuple() )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 1 )
self.failUnless( isinstance( hou.node( xform.path()+"/1" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1/geo" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1/2" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1/2/geo" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1/2/3" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1/2/3/geo" ), hou.ObjNode ) )
geo = hou.node( xform.path()+"/1/2/geo" )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outT" ).eval(), ( 1, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1/geo" ).parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/geo" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/geo" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1/2" ).parmTuple( "outT" ).eval(), ( 2, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/geo" ).parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/geo" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/geo" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3" ).parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3/geo" ).parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3/geo" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1/2/3/geo" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
xform.parm( "root" ).set( "/1/2" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 2 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3/geo" ), hou.ObjNode ) )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/3/geo" ).parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3/geo" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3/geo" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
xform.parm( "root" ).set( "/1" )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 2 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( hou.node( xform.path()+"/geo" ), hou.ObjNode ) )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 1, 0, 0 ) )
next = hou.node( xform.path()+"/2" )
self.failUnless( isinstance( next, hou.ObjNode ) )
self.assertEqual( len(next.children()), 0 )
next.parm( "expand" ).pressButton()
self.assertEqual( len(next.children()), 2 )
self.failUnless( isinstance( hou.node( xform.path()+"/2/3" ), hou.ObjNode ) )
geo = hou.node( xform.path()+"/2/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
next = hou.node( xform.path()+"/2/3" )
self.failUnless( isinstance( next, hou.ObjNode ) )
self.assertEqual( len(next.children()), 0 )
next.parm( "expand" ).pressButton()
self.assertEqual( len(next.children()), 1 )
self.failUnless( isinstance( hou.node( xform.path()+"/2/3/geo" ), hou.ObjNode ) )
def testExpandParenting( self ) :
self.writeSCC()
xform = self.xform()
self.assertEqual( xform.children(), tuple() )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 3 )
self.failUnless( isinstance( hou.node( xform.path()+"/1" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/1" ).children()[0], hou.SopNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/2" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/2" ).children()[0], hou.SopNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3" ).children()[0], hou.SopNode ) )
self.assertEqual( len(hou.node( xform.path()+"/1" ).inputs()), 0 )
self.assertEqual( len(hou.node( xform.path()+"/2" ).inputs()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/3" ).inputs()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/1" ).outputs()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/2" ).outputs()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/3" ).outputs()), 0 )
self.assertEqual( hou.node( xform.path()+"/1" ).outputs()[0], hou.node( xform.path()+"/2" ) )
self.assertEqual( hou.node( xform.path()+"/2" ).outputs()[0], hou.node( xform.path()+"/3" ) )
self.cookAll( xform )
geo = hou.node( xform.path()+"/2" )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outT" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outT" ).eval(), ( 1, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/1" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/2" ).parmTuple( "outT" ).eval(), ( 2, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/2" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/2" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
xform.parm( "root" ).set( "/1/2" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 2 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( geo.children()[0], hou.SopNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3" ), hou.ObjNode ) )
self.failUnless( isinstance( hou.node( xform.path()+"/3" ).children()[0], hou.SopNode ) )
self.assertEqual( len(geo.inputs()), 0 )
self.assertEqual( len(hou.node( xform.path()+"/3" ).inputs()), 1 )
self.assertEqual( len(geo.outputs()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/3" ).outputs()), 0 )
self.assertEqual( geo.outputs()[0], hou.node( xform.path()+"/3" ) )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( xform.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( hou.node( xform.path()+"/3" ).parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
xform.parm( "root" ).set( "/1" )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 2 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( geo.children()[0], hou.SopNode ) )
self.cookAll( xform )
node = geo.children()[0]
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 1, 0, 0 ) )
next = hou.node( xform.path()+"/2" )
self.failUnless( isinstance( next, hou.ObjNode ) )
self.assertEqual( len(geo.inputs()), 0 )
self.assertEqual( len(next.inputs()), 1 )
self.assertEqual( len(geo.outputs()), 1 )
self.assertEqual( len(next.outputs()), 0 )
self.assertEqual( geo.outputs()[0], next )
self.assertEqual( len(next.children()), 1 )
self.failUnless( isinstance( next.children()[0], hou.SopNode ) )
def testExpandFlatGeometry( self ) :
self.writeSCC()
xform = self.xform()
self.assertEqual( xform.children(), tuple() )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.FlatGeometry )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 1 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( geo.children()[0], hou.SopNode ) )
self.cookAll( xform )
node = geo.children()[0]
self.assertEqual( node.name(), "root" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 6, 0, 0 ) )
xform.parm( "root" ).set( "/1/2" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 1 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( geo.children()[0], hou.SopNode ) )
self.cookAll( xform )
node = geo.children()[0]
self.assertEqual( node.name(), "2" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 6, 0, 0 ) )
xform.parm( "root" ).set( "/1" )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 1 )
geo = hou.node( xform.path()+"/geo" )
self.failUnless( isinstance( geo, hou.ObjNode ) )
self.failUnless( isinstance( geo.children()[0], hou.SopNode ) )
self.cookAll( xform )
node = geo.children()[0]
self.assertEqual( node.name(), "1" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position() * geo.worldTransform(), hou.Vector3( 1, 0, 0 ) )
def writeTaggedSCC( self ) :
scene = self.writeSCC()
sc1 = scene.child( str( 1 ) )
sc2 = sc1.child( str( 2 ) )
sc3 = sc2.child( str( 3 ) )
sc1.writeTags( [ "a" ] )
sc2.writeTags( [ "b" ] )
sc3.writeTags( [ "c" ] )
return scene
def writeDualTaggedSCC( self ) :
scene = self.writeTaggedSCC()
sc1 = scene.child( str(1 ) )
sc4 = sc1.createChild( str(4) )
sc4.writeTags( [ "d" ] )
box = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
sc5 = sc4.createChild( str(5) )
sc5.writeObject( box, 0 )
def testParmTrickleDown( self ) :
def checkParms( node, geoType, tagFilter, attribFilter, shapeFilter, attribCopy, fullPathName ) :
self.assertEqual( node.parm( "geometryType" ).eval(), geoType )
self.assertEqual( node.parm( "attributeFilter" ).eval(), attribFilter )
self.assertEqual( node.parm( "attributeCopy" ).eval(), attribCopy )
self.assertEqual( node.parm( "shapeFilter" ).eval(), shapeFilter )
self.assertEqual( node.parm( "fullPathName" ).eval(), fullPathName )
if isinstance( node, hou.ObjNode ) :
self.assertEqual( node.parm( "expanded" ).eval(), True )
if node.isObjectDisplayed() :
self.assertEqual( node.parm( "tagFilter" ).eval(), tagFilter )
else :
self.assertEqual( node.parm( "tagFilter" ).eval(), "*" )
for child in node.children() :
checkParms( child, geoType, tagFilter, attribFilter, shapeFilter, attribCopy, fullPathName )
self.writeDualTaggedSCC()
xform = self.xform()
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
xform.parm( "attributeFilter" ).set( "*" )
xform.parm( "shapeFilter" ).set( "*" )
xform.parm( "fullPathName" ).set( "fullPath" )
xform.parm( "expand" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Cortex, "*", "*", "*", "", "fullPath" )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "attributeFilter" ).set( "P ^N" )
xform.parm( "attributeCopy" ).set( "P:Pref" )
xform.parm( "shapeFilter" ).set( "2 ^3" )
xform.parm( "fullPathName" ).set( "customName" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Houdini, "*", "P ^N", "2 ^3", "P:Pref", "customName" )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
xform.parm( "attributeFilter" ).set( "*" )
xform.parm( "attributeCopy" ).set( "" )
xform.parm( "shapeFilter" ).set( "*" )
xform.parm( "fullPathName" ).set( "fullPath" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Cortex, "*", "*", "*", "", "fullPath" )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "attributeFilter" ).set( "P ^N" )
xform.parm( "attributeCopy" ).set( "v:vIn" )
xform.parm( "shapeFilter" ).set( "2 ^3" )
xform.parm( "fullPathName" ).set( "customName" )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Houdini, "*", "P ^N", "2 ^3", "v:vIn", "customName" )
# now check just pushing the parms
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
xform.parm( "attributeFilter" ).set( "P ^N" )
xform.parm( "attributeCopy" ).set( "P:Pref" )
xform.parm( "shapeFilter" ).set( "2 ^3" )
xform.parm( "fullPathName" ).set( "fullPath" )
xform.parm( "push" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Cortex, "*", "P ^N", "2 ^3", "P:Pref", "fullPath" )
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5/geo" ).isObjectDisplayed() )
xform.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
xform.parm( "attributeFilter" ).set( "P N" )
xform.parm( "attributeCopy" ).set( "P:Pref v:vIn" )
xform.parm( "shapeFilter" ).set( "2 3" )
xform.parm( "fullPathName" ).set( "customName" )
xform.parm( "tagFilter" ).set( "d" )
xform.parm( "push" ).pressButton()
checkParms( xform, IECoreHoudini.SceneCacheNode.GeometryType.Houdini, "d", "P N", "2 3", "P:Pref v:vIn", "customName" )
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2/geo" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2/3/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5/geo" ).isObjectDisplayed() )
def testTagFilter( self ) :
self.writeDualTaggedSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
self.assertEqual( sorted( xform.parm( "tagFilter" ).menuItems() ), [ "*", "ObjectType:MeshPrimitive", "a", "b", "c", "d" ] )
xform.parm( "tagFilter" ).set( "b" )
xform.parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/4" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/4/5" ), None )
xform.parm( "collapse" ).pressButton()
xform.parm( "tagFilter" ).set( "d" )
xform.parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/2/geo" ), None )
self.assertEqual( hou.node( xform.path()+"/1/2/3" ), None )
self.assertTrue( hou.node( xform.path()+"/1/4" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5/geo" ).isObjectDisplayed() )
xform.parm( "collapse" ).pressButton()
xform.parm( "tagFilter" ).set( "b d" )
xform.parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/4/5/geo" ).isObjectDisplayed() )
xform.parm( "collapse" ).pressButton()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "tagFilter" ).set( "b" )
xform.parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/geo" ), None )
hou.node( xform.path()+"/1" ).parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/2/geo" ), None )
hou.node( xform.path()+"/1/2" ).parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/2//3geo" ), None )
hou.node( xform.path()+"/1/2/3" ).parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/4/5" ), None )
self.assertEqual( hou.node( xform.path()+"/1/4/5/geo" ), None )
# is displayed because we forced it by expanding 4 explicitly
hou.node( xform.path()+"/1/4" ).parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1/4/5" ).isObjectDisplayed() )
self.assertEqual( hou.node( xform.path()+"/1/4/5/geo" ), None )
hou.node( xform.path()+"/1/4/5" ).parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1/4/5/geo" ).isObjectDisplayed() )
xform.parm( "collapse" ).pressButton()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "tagFilter" ).set( "b" )
xform.parm( "expand" ).pressButton()
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/2" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/3" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/4" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/5" ).isObjectDisplayed() )
def testSopTagFilter( self ) :
self.writeDualTaggedSCC()
sop = self.sop()
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
sop.parm( "tagFilter" ).set( "b" )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
sop.parm( "tagFilter" ).set( "a" )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 24 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3', '/1/4/5' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
self.assertEqual( prims[18].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
sop.parm( "tagFilter" ).set( "d" )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/4/5' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
sop.parm( "tagFilter" ).set( "b d" )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 24 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3', '/1/4/5' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
self.assertEqual( prims[18].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
def testEmptyTags( self ) :
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
sc = scene.createChild( str( 1 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 1, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 2 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 3 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
del scene, sc
xform = self.xform()
xform.parm( "expand" ).pressButton()
self.assertEqual( len(xform.children()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/1" ).children()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/1/2" ).children()), 1 )
self.assertEqual( len(hou.node( xform.path()+"/1/2/3" ).children()), 0 )
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
self.assertEqual( scene.readTags( IECore.SceneInterface.EveryTag ), [] )
self.assertTrue( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
xform.parm( "tagFilter" ).set( "" )
xform.parm( "push" ).pressButton()
self.assertFalse( hou.node( xform.path()+"/1" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2" ).isObjectDisplayed() )
self.assertFalse( hou.node( xform.path()+"/1/2/3" ).isObjectDisplayed() )
def testLiveTags( self ) :
self.writeTaggedSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "expand" ).pressButton()
scene = IECoreHoudini.LiveScene( xform.path() )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [] )
for tag in scene.readTags(IECore.SceneInterface.EveryTag) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
scene = IECoreHoudini.LiveScene( xform.path()+"/1/2" )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.AncestorTag ) ]), [ "ObjectType:MeshPrimitive", "a" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.DescendantTag ) ]), [ "ObjectType:MeshPrimitive", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [ "ObjectType:MeshPrimitive", "b" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
# test tags exist even when children aren't expanded
xform.parm( "collapse" ).pressButton()
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "expand" ).pressButton()
scene = IECoreHoudini.LiveScene( xform.path() )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
hou.node( xform.path()+"/1" ).parm( "expand" ).pressButton()
scene = IECoreHoudini.LiveScene( xform.path()+"/1/2" )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.AncestorTag ) ]), [ "ObjectType:MeshPrimitive", "a" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.DescendantTag ) ]), [ "ObjectType:MeshPrimitive", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [ "ObjectType:MeshPrimitive", "b" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
# test tags for parented expansion
xform.parm( "collapse" ).pressButton()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "expand" ).pressButton()
scene = IECoreHoudini.LiveScene( xform.path() )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
scene = IECoreHoudini.LiveScene( xform.path()+"/2" )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.AncestorTag ) ]), [ "ObjectType:MeshPrimitive", "a" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.DescendantTag ) ]), [ "ObjectType:MeshPrimitive", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [ "ObjectType:MeshPrimitive", "b" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "fakeTag", IECore.SceneInterface.EveryTag ) )
# test user tags
b = hou.node( xform.path()+"/2" )
b.parm( "ieTags" ).set( "testing user:tags" )
group = b.renderNode().createOutputNode( "group" )
group.parm( "crname" ).set( "ieTag_green" )
group2 = group.createOutputNode( "group" )
group2.parm( "crname" ).set( "notATag" )
group2.setRenderFlag( True )
scene = IECoreHoudini.LiveScene( xform.path() )
# they don't currently affect parents, just the immediate node
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.EveryTag ) ]), [ "ObjectType:MeshPrimitive", "a", "b", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [] )
for tag in scene.readTags( IECore.SceneInterface.EveryTag ) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "testing", IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "user:tags", IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "green", IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "notATag", IECore.SceneInterface.EveryTag ) )
scene = IECoreHoudini.LiveScene( xform.path()+"/2" )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.AncestorTag ) ]), [ "ObjectType:MeshPrimitive", "a" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.DescendantTag ) ]), [ "ObjectType:MeshPrimitive", "c" ] )
self.assertEqual( sorted([ str(x) for x in scene.readTags( IECore.SceneInterface.LocalTag ) ]), [ "ObjectType:MeshPrimitive", "b", "green", "testing", "user:tags" ] )
for tag in scene.readTags(IECore.SceneInterface.EveryTag) :
self.assertTrue( scene.hasTag( tag, IECore.SceneInterface.EveryTag ) )
self.assertFalse( scene.hasTag( "notATag", IECore.SceneInterface.EveryTag ) )
def writeAttributeSCC( self ) :
scene = self.writeSCC()
sc1 = scene.child( str( 1 ) )
sc2 = sc1.child( str( 2 ) )
sc3 = sc2.child( str( 3 ) )
sc1.writeAttribute( "label", IECore.StringData( "a" ), 0 )
sc1.writeAttribute( "color", IECore.Color3dData( IECore.Color3d( 0.5 ) ), 0 )
sc2.writeAttribute( "label", IECore.StringData( "b" ), 0 )
sc2.writeAttribute( "material", IECore.StringData( "rubber" ), 0 )
sc3.writeAttribute( "label", IECore.StringData( "c" ), 0 )
sc3.writeAttribute( "animColor", IECore.Color3dData( IECore.Color3d( 0 ) ), 0 )
sc3.writeAttribute( "animColor", IECore.Color3dData( IECore.Color3d( 0.5 ) ), 0.5 )
sc3.writeAttribute( "animColor", IECore.Color3dData( IECore.Color3d( 1 ) ), 1 )
return scene
def testLiveAttributes( self ) :
self.writeAttributeSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
# its a link before it is expanded
scene = IECoreHoudini.LiveScene( xform.path() )
self.assertEqual( scene.attributeNames(), [ IECore.LinkedScene.linkAttribute ] )
self.assertTrue( scene.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertEqual(
scene.readAttribute( IECore.LinkedScene.linkAttribute, 0 ),
IECore.CompoundData( {
"time" : IECore.DoubleData( 0 ),
"fileName" : IECore.StringData( "test/test.scc" ),
"root" : IECore.InternedStringVectorData( [] )
} )
)
# the link disapears once expanded
xform.parm( "expand" ).pressButton()
self.assertEqual( scene.attributeNames(), [] )
self.assertFalse( scene.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertEqual( scene.readAttribute( IECore.LinkedScene.linkAttribute, 0 ), None )
# nodes expose their attributes
a = scene.child( "1" )
self.assertEqual( sorted(a.attributeNames()), [ "color", "label", "sceneInterface:animatedObjectPrimVars" ] )
for attr in a.attributeNames() :
self.assertTrue( a.hasAttribute( attr ) )
self.assertFalse( a.hasAttribute( "material" ) )
self.assertEqual( a.readAttribute( "label", 0 ), IECore.StringData( "a" ) )
self.assertEqual( a.readAttribute( "color", 0 ), IECore.Color3dData( IECore.Color3d( 0.5 ) ) )
b = a.child( "2" )
self.assertEqual( sorted(b.attributeNames()), [ "label", "material", "sceneInterface:animatedObjectPrimVars" ] )
for attr in b.attributeNames() :
self.assertTrue( b.hasAttribute( attr ) )
self.assertFalse( b.hasAttribute( "color" ) )
self.assertEqual( b.readAttribute( "label", 0 ), IECore.StringData( "b" ) )
self.assertEqual( b.readAttribute( "material", 0 ), IECore.StringData( "rubber" ) )
c = b.child( "3" )
self.assertEqual( sorted(c.attributeNames()), [ "animColor", "label", "sceneInterface:animatedObjectPrimVars" ] )
for attr in c.attributeNames() :
self.assertTrue( c.hasAttribute( attr ) )
self.assertFalse( c.hasAttribute( "color" ) )
self.assertFalse( c.hasAttribute( "material" ) )
self.assertEqual( c.readAttribute( "label", 0 ), IECore.StringData( "c" ) )
self.assertEqual( c.readAttribute( "animColor", 0 ), IECore.Color3dData( IECore.Color3d( 0 ) ) )
self.assertEqual( c.readAttribute( "animColor", 0.5 ), IECore.Color3dData( IECore.Color3d( 0.5 ) ) )
self.assertEqual( c.readAttribute( "animColor", 1 ), IECore.Color3dData( IECore.Color3d( 1 ) ) )
def testFullPathName( self ) :
self.writeSCC()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
# make sure the full path doesn't load until the parm has a value
self.assertEqual( node.parm( "fullPathName" ).eval(), "" )
self.assertEqual( node.geometry().findPrimAttrib( "path" ), None )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name"] )
# now lets load it an validate the paths
node.parm( "fullPathName" ).set( "path" )
self.assertEqual( sorted( [ x.name() for x in node.geometry().primAttribs() ] ), ["Cd", "ieMeshInterpolation", "name", "path"] )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
pathAttr = node.geometry().findPrimAttrib( "path" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
self.assertEqual( pathAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
for path in pathAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "path" ) == path ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
pathAttr = node.geometry().findPrimAttrib( "path" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
self.assertEqual( pathAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
for path in pathAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "path" ) == path ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1/2" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 12 )
nameAttr = node.geometry().findPrimAttrib( "name" )
pathAttr = node.geometry().findPrimAttrib( "path" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/3' ] ) )
self.assertEqual( pathAttr.strings(), tuple( [ '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
for path in pathAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "path" ) == path ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 3, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
node.parm( "root" ).set( "/1/2/3" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 6 )
nameAttr = node.geometry().findPrimAttrib( "name" )
pathAttr = node.geometry().findPrimAttrib( "path" )
self.assertEqual( nameAttr.strings(), tuple( [ '/' ] ) )
self.assertEqual( pathAttr.strings(), tuple( [ '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
for path in pathAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "path" ) == path ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 6, 0, 0 ) )
def testReloadButton( self ) :
def testNode( node ) :
self.assertEqual( node.cookCount(), 0 )
node.cook()
self.assertEqual( node.cookCount(), 1 )
node.cook()
self.assertEqual( node.cookCount(), 1 )
node.parm( "reload" ).pressButton()
node.cook()
self.assertEqual( node.cookCount(), 2 )
node.cook()
self.assertEqual( node.cookCount(), 2 )
node.parm( "reload" ).pressButton()
node.cook()
self.assertEqual( node.cookCount(), 3 )
self.writeSCC()
testNode( self.sop() )
testNode( self.xform() )
testNode( self.geometry() )
testNode( self.sopXform() )
def writeAnimSCC( self, rotate = False ) :
scene = self.writeSCC()
sc1 = scene.child( str( 1 ) )
sc2 = sc1.child( str( 2 ) )
sc3 = sc2.child( str( 3 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
for time in [ 0.5, 1, 1.5, 2, 5, 10 ] :
matrix = IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) )
if rotate :
matrix.rotate( IECore.V3d( time, 0, 0 ) )
sc1.writeTransform( IECore.M44dData( matrix ), time )
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( time, 1, 0 ) ] * 6 ) )
sc2.writeObject( mesh, time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) )
if rotate :
matrix.rotate( IECore.V3d( time, 0, 0 ) )
sc2.writeTransform( IECore.M44dData( matrix ), time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) )
if rotate :
matrix.rotate( IECore.V3d( time, 0, 0 ) )
sc3.writeTransform( IECore.M44dData( matrix ), time )
return scene
def testAnimatedScene( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
sop = self.sop()
for time in times :
hou.setTime( time - spf )
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, time, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 2*time, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 3*time, 0 ) )
self.assertEqual( prims[6].attribValue( "Cd" ), ( time, 1, 0 ) )
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, time + 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, 2*time + 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, 3*time + 0.5, 0.5 ) )
xform = self.xform()
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
b = [ x for x in a.children() if x.name() != "geo" ][0]
c = [ x for x in b.children() if x.name() != "geo" ][0]
for time in times :
if hou.applicationVersion()[0] >= 14 :
self.assertEqual( IECore.M44d( list(xform.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time * 2, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 6, time * 3, 0 ) ) )
else :
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
for time in times :
hou.setTime( time - spf )
self.assertEqual( IECore.M44d( list(xform.parmTransform().asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
b = xform.children()[1]
c = xform.children()[2]
for time in times :
if hou.applicationVersion()[0] >= 14 :
self.assertEqual( IECore.M44d( list(xform.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.localTransformAtTime( time -spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, 2*time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time -spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 6, 3*time, 0 ) ) )
else :
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, 2*time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time -spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 6, 3*time, 0 ) ) )
for time in times :
hou.setTime( time - spf )
self.assertEqual( IECore.M44d( list(xform.parmTransform().asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
def testSopXformNameMode( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
node = self.sopXform()
# prims transform according to their name
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3.5, time*2 - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6.5, time*3 - 0.5, -0.5 ) )
# names are relative to the root parm, and non-matching names are ignored
node.parm( "root" ).set( "/1/2" )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
# making the names relative again so the transformations take effect
node.inputConnections()[0].inputNode().inputConnections()[1].inputNode().parm( "name1" ).set( "/" )
node.inputConnections()[0].inputNode().inputConnections()[2].inputNode().parm( "name1" ).set( "/3" )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/', '/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
# still doesn't animate because /1 doesn't match any child of /1/2
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
# these ones are proper relative paths
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3.5, time*2 - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6.5, time*3 - 0.5, -0.5 ) )
# testing invert toggle
node.parm( "invert" ).set( True )
node.parm( "root" ).set( "/" )
node.inputConnections()[0].inputNode().inputConnections()[1].inputNode().parm( "name1" ).set( "/1/2" )
node.inputConnections()[0].inputNode().inputConnections()[2].inputNode().parm( "name1" ).set( "/1/2/3" )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertTrue( prims[0].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -0.5, -time - 0.5, -0.5 ) ) )
self.assertTrue( prims[6].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -2.5, -time*2 - 0.5, -0.5 ) ) )
self.assertTrue( prims[12].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -5.5, -time*3 - 0.5, -0.5 ) ) )
def testSopXformRootMode( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
node = self.sopXform()
node.parm( "mode" ).set( 1 )
# in root mode all prims transform to match the root transform, regardless of name
node.parm( "root" ).set( "/1" )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
node.parm( "root" ).set( "/1/2" )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 3.5, 2*time - 0.5, -0.5 ) )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 3.5, 2*time - 0.5, -0.5 ) )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 3.5, 2*time - 0.5, -0.5 ) )
# testing invert toggle
node.parm( "invert" ).set( True )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertTrue( prims[0].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -2.5, -2*time - 0.5, -0.5 ) ) )
self.assertTrue( prims[6].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -2.5, -2*time - 0.5, -0.5 ) ) )
self.assertTrue( prims[12].vertex( 0 ).point().position().isAlmostEqual( hou.Vector3( -2.5, -2*time - 0.5, -0.5 ) ) )
def testSopXformSpaces( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
node = self.sopXform()
node.parm( "root" ).set( "/1" )
node.inputConnections()[0].inputNode().inputConnections()[0].inputNode().parm( "name1" ).set( "/" )
node.inputConnections()[0].inputNode().inputConnections()[1].inputNode().parm( "name1" ).set( "/2" )
node.inputConnections()[0].inputNode().inputConnections()[2].inputNode().parm( "name1" ).set( "/2/3" )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.World )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3.5, time*2 - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6.5, time*3 - 0.5, -0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Path )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 2.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 5.5,time*2 - 0.5, -0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Local )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 2.5, time - 0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 3.5, time - 0.5, -0.5 ) )
node.parm( "space" ).set( IECoreHoudini.SceneCacheNode.Space.Object )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/', '/2', '/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 0.5, -0.5, -0.5 ) )
def testSopXformRestDoesNotTransform( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
source = self.sop()
source.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
source.parm( "attributeCopy" ).set( "P:Pref" )
xform = source.createOutputNode( "ieSceneCacheTransform" )
xform.parm( "file" ).set( TestSceneCache.__testFile )
for time in times :
hou.setTime( time - spf )
prims = xform.geometry().prims()
self.assertEqual( len(prims), 18 )
# positions are double transformed (once by the source sop and once by the xform)
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 2, 2*time, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 6, 4*time, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 12, 6*time, 0 ) )
# rest doesn't transform from either source or xform
self.assertEqual( prims[0].vertex( 0 ).point().attribValue( "rest" ), ( 0, 0, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().attribValue( "rest" ), ( 0, 0, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().attribValue( "rest" ), ( 0, 0, 0 ) )
def testOBJOutputParms( self ) :
self.writeAnimSCC()
xform = self.xform()
xform.parm( "expand" ).pressButton()
c = hou.node( xform.path()+"/1/2/3" )
spf = 1.0 / hou.fps()
hou.setTime( 0 - spf )
self.assertEqual( c.cookCount(), 0 )
self.assertEqual( c.parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( c.parmTuple( "outR" ).eval(), ( 0, 0, 0 ) )
self.assertEqual( c.parmTuple( "outS" ).eval(), ( 1, 1, 1 ) )
# evaluating the output parms forces a cook
self.assertEqual( c.cookCount(), 0 )
# referencing the output parms forces a cook
null = hou.node( "/obj" ).createNode( "null" )
self.assertEqual( null.parmTuple( "t" ).eval(), ( 0, 0, 0 ) )
null.parm( "tx" ).setExpression( 'ch( "%s/outTx" )' % c.path() )
null.parm( "ty" ).setExpression( 'ch( "%s/outTy" )' % c.path() )
null.parm( "tz" ).setExpression( 'ch( "%s/outTz" )' % c.path() )
self.assertEqual( null.parmTuple( "t" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( c.parmTuple( "outT" ).eval(), ( 3, 0, 0 ) )
self.assertEqual( c.cookCount(), 0 )
# changing the time updates the output parms
hou.setTime( 2.5 - spf )
self.assertEqual( null.parmTuple( "t" ).eval(), ( 3, 2.5, 0 ) )
self.assertEqual( c.parmTuple( "outT" ).eval(), ( 3, 2.5, 0 ) )
self.assertEqual( c.cookCount(), 0 )
# referencing the node via origin returns the same results
null2 = hou.node( "/obj" ).createNode( "null" )
self.assertEqual( null2.parmTuple( "t" ).eval(), ( 0, 0, 0 ) )
null2.parm( "tx" ).setExpression( 'origin( "", "%s", "TX" )' % c.path() )
null2.parm( "ty" ).setExpression( 'origin( "", "%s", "TY" )' % c.path() )
null2.parm( "tz" ).setExpression( 'origin( "", "%s", "TZ" )' % c.path() )
if hou.applicationVersion()[0] >= 14 :
self.assertEqual( null2.parmTuple( "t" ).eval(), ( 6, 2.5 * 3, 0 ) )
else :
self.assertEqual( null2.parmTuple( "t" ).eval(), ( 3, 2.5, 0 ) )
self.assertEqual( c.parmTuple( "outT" ).eval(), ( 3, 2.5, 0 ) )
self.assertEqual( c.cookCount(), 1 )
# evaluating at different times also works
self.assertEqual( c.parmTuple( "outT" ).evalAtTime( 2.75 - spf ), ( 3, 2.75, 0 ) )
self.assertEqual( null.parmTuple( "t" ).evalAtTime( 5.25 - spf ), ( 3, 5.25, 0 ) )
self.assertEqual( c.cookCount(), 1 )
def compareScene( self, a, b, time = 0, bakedObjects = [], parentTransform = None ) :
self.assertEqual( a.name(), b.name() )
self.assertEqual( a.path(), b.path() )
if b.name() in bakedObjects :
aTransform = a.readTransformAsMatrix( time )
parentTransform = aTransform if parentTransform is None else aTransform * parentTransform
self.assertEqual( b.readTransformAsMatrix( time ), IECore.M44d() )
else :
self.assertEqual( set(a.readTags(IECore.SceneInterface.LocalTag)), set(b.readTags(IECore.SceneInterface.LocalTag)) )
self.assertEqual( set(a.readTags(IECore.SceneInterface.DescendantTag)), set(b.readTags(IECore.SceneInterface.DescendantTag)) )
self.assertEqual( set(a.readTags(IECore.SceneInterface.AncestorTag)), set(b.readTags(IECore.SceneInterface.AncestorTag)) )
self.assertEqual( set(a.readTags(IECore.SceneInterface.EveryTag)), set(b.readTags(IECore.SceneInterface.EveryTag)) )
self.assertTrue( a.readTransformAsMatrix( time ).equalWithAbsError( b.readTransformAsMatrix( time ), 1e-6 ) )
ab = a.readBound( time )
bb = b.readBound( time )
self.assertTrue( ab.min.equalWithAbsError( bb.min, 1e-6 ) )
self.assertTrue( ab.max.equalWithAbsError( bb.max, 1e-6 ) )
aAttrs = a.attributeNames()
bAttrs = b.attributeNames()
# need to remove the animatedObjectPrimVars attribute since it doesn't exist in some circumstances
if "sceneInterface:animatedObjectPrimVars" in aAttrs :
aAttrs.remove( "sceneInterface:animatedObjectPrimVars" )
if "sceneInterface:animatedObjectPrimVars" in bAttrs :
bAttrs.remove( "sceneInterface:animatedObjectPrimVars" )
self.assertEqual( aAttrs, bAttrs )
for attr in aAttrs :
self.assertTrue( a.hasAttribute( attr ) )
self.assertTrue( b.hasAttribute( attr ) )
self.assertEqual( a.readAttribute( attr, time ), b.readAttribute( attr, time ) )
self.assertEqual( a.hasObject(), b.hasObject() )
if a.hasObject() :
ma = a.readObject( time )
mb = b.readObject( time )
# need to adjust P for baked objects
if b.name() in bakedObjects :
IECore.TransformOp()( input=ma, copyInput=False, matrix=IECore.M44dData( parentTransform ) )
self.assertEqual( ma, mb )
self.assertEqual( sorted( a.childNames() ), sorted( b.childNames() ) )
for child in a.childNames() :
self.compareScene( a.child( child ), b.child( child ), time = time, bakedObjects = bakedObjects, parentTransform = parentTransform )
def testRopHierarchy( self ) :
# test a parented xform
self.writeTaggedSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "expand" ).pressButton()
rop = self.rop( xform )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testOutFile ) )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output )
# test a subnet xform
os.remove( TestSceneCache.__testOutFile )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "expand" ).pressButton()
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output )
# test a mixed subnet/parented xform
os.remove( TestSceneCache.__testOutFile )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
a.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
a.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
a.parm( "expand" ).pressButton()
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output )
def testRopFlattened( self ) :
# test a flat xform
self.writeSCC()
xform = self.xform()
rop = self.rop( xform )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.FlatGeometry )
xform.parm( "expand" ).pressButton()
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output, bakedObjects = [ "1", "2", "3" ] )
# test a mixed subnet/flat xform
os.remove( TestSceneCache.__testOutFile )
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
a.parm( "expand" ).pressButton()
b = a.children()[1]
b.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.FlatGeometry )
b.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
b.parm( "expand" ).pressButton()
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output, bakedObjects = [ "3" ] )
# test a OBJ Geo
os.remove( TestSceneCache.__testOutFile )
geo = self.geometry()
geo.parm( "expand" ).pressButton()
rop.parm( "rootObject" ).set( geo.path() )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output, bakedObjects = [ "1", "2", "3" ] )
def testRopFlattenedWithGaps( self ) :
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
sc = scene.createChild( str( 1 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( 1, 0, 0 ) ] * 6 ) )
sc.writeObject( mesh, 0 )
matrix = IECore.M44d.createTranslated( IECore.V3d( 1, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 2 ) )
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
sc = sc.createChild( str( 3 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( 0, 0, 1 ) ] * 6 ) )
sc.writeObject( mesh, 0 )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, 0, 0 ) )
sc.writeTransform( IECore.M44dData( matrix ), 0 )
del scene, sc
geo = self.geometry()
geo.parm( "expand" ).pressButton()
self.assertEqual( len(geo.children()), 1 )
node = geo.children()[0]
self.assertEqual( node.name(), "root" )
prims = node.geometry().prims()
self.assertEqual( len(prims), 2 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
rop = self.rop( geo )
rop.parm( "rootObject" ).set( geo.path() )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, output, bakedObjects = [ "1", "2", "3" ] )
def testRopTopLevelGeo( self ) :
self.writeSCC()
geo = self.geometry()
geo.parm( "expand" ).pressButton()
attr = geo.children()[0].createOutputNode( "attribute" )
attr.parm( "primdel" ).set( "name" )
attr.setDisplayFlag( True )
attr.setRenderFlag( True )
rop = self.rop( geo )
rop.parm( "trange" ).set( 1 )
rop.parmTuple( "f" ).set( ( 1, 10, 1 ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.assertEqual( output.name(), "/" )
self.assertEqual( output.readTransformAsMatrix( 0 ), IECore.M44d() )
self.assertFalse( output.hasObject() )
self.assertEqual( output.childNames(), [ "ieSceneCacheGeometry1" ] )
root = output.child( "ieSceneCacheGeometry1" )
self.assertEqual( root.name(), "ieSceneCacheGeometry1" )
self.assertEqual( root.readTransformAsMatrix( 0 ), IECore.M44d() )
self.assertTrue( root.hasObject() )
obj = root.readObject( 0 )
self.assertTrue( obj.isInstanceOf( IECore.TypeId.Group ) )
self.assertEqual( len(obj.children()), 3 )
for child in obj.children() :
self.assertTrue( child.isInstanceOf( IECore.TypeId.MeshPrimitive ) )
self.assertEqual( root.childNames(), [] )
def testRopFlattenedAndHidden( self ) :
self.writeSCC()
subnet = hou.node( "/obj" ).createNode( "subnet" )
subnet.setDisplayFlag( False )
geo = self.geometry( parent = subnet )
geo.parm( "expand" ).pressButton()
attr = geo.children()[0].createOutputNode( "attribute" )
attr.parm( "primdel" ).set( "name" )
attr.setDisplayFlag( True )
attr.setRenderFlag( True )
rop = self.rop( geo )
rop.parm( "trange" ).set( 1 )
rop.parmTuple( "f" ).set( ( 1, 10, 1 ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.assertEqual( output.name(), "/" )
self.assertEqual( output.readTransformAsMatrix( 0 ), IECore.M44d() )
self.assertFalse( output.hasObject() )
self.assertEqual( output.childNames(), [ "ieSceneCacheGeometry1" ] )
root = output.child( "ieSceneCacheGeometry1" )
self.assertEqual( root.name(), "ieSceneCacheGeometry1" )
self.assertEqual( root.readTransformAsMatrix( 0 ), IECore.M44d() )
self.assertTrue( root.hasObject() )
obj = root.readObject( 0 )
self.assertTrue( obj.isInstanceOf( IECore.TypeId.Group ) )
self.assertEqual( len(obj.children()), 3 )
for child in obj.children() :
self.assertTrue( child.isInstanceOf( IECore.TypeId.MeshPrimitive ) )
self.assertEqual( root.childNames(), [] )
def testRopFlattenedWithErrors( self ) :
self.writeSCC()
geo = self.geometry()
geo.parm( "expand" ).pressButton()
rop = self.rop( geo )
rop.parm( "rootObject" ).set( geo.path() )
rop.parm( "trange" ).set( 1 )
rop.parmTuple( "f" ).set( ( 1, 10, 1 ) )
geo.renderNode().parm( "file" ).set( "fake.scc" )
rop.parm( "execute" ).pressButton()
self.assertNotEqual( rop.errors(), "" )
self.assertTrue( geo.renderNode().path() in rop.errors() )
self.assertTrue( geo.renderNode().errors() in rop.errors() )
def testRopLinked( self ) :
self.writeTaggedSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
a.parm( "expand" ).pressButton()
# leaving b and below as a link
rop = self.rop( xform )
rop.parm( "file" ).set( TestSceneCache.__testLinkedOutFile )
self.assertFalse( os.path.exists( TestSceneCache.__testLinkedOutFile ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testLinkedOutFile ) )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
linked = IECore.LinkedScene( TestSceneCache.__testLinkedOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, linked )
# make sure there really is a link
unlinked = IECore.SceneCache( TestSceneCache.__testLinkedOutFile, IECore.IndexedIO.OpenMode.Read )
a = unlinked.child( "1" )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.timeLinkAttribute ) )
b = a.child( "2" )
self.assertEqual( b.childNames(), [] )
self.assertFalse( b.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertTrue( b.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertTrue( b.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.fileNameLinkAttribute, 0 ), IECore.StringData( TestSceneCache.__testFile ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.rootLinkAttribute, 0 ), IECore.InternedStringVectorData( [ "1", "2" ] ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.timeLinkAttribute, 0 ), IECore.DoubleData( 1.0 / hou.fps() ) )
# make sure we can force link expansion
xform.parm( "collapse" ).pressButton()
xform.parm( "file" ).set( TestSceneCache.__testLinkedOutFile )
self.assertEqual( xform.children(), tuple() )
self.assertEqual( xform.parm( "expanded" ).eval(), False )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "expand" ).pressButton()
rop.parm( "file" ).set( TestSceneCache.__testOutFile )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testOutFile ) )
expanded = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, expanded )
self.compareScene( expanded, linked )
# make sure we can read back the whole structure in Houdini
xform.parm( "collapse" ).pressButton()
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
xform.parm( "expand" ).pressButton()
live = IECoreHoudini.LiveScene( xform.path(), rootPath = [ xform.name() ] )
self.compareScene( orig, live )
# make sure it doesn't crash if the linked scene doesn't exist anymore
xform.parm( "collapse" ).pressButton()
os.remove( TestSceneCache.__testFile )
IECore.SharedSceneInterfaces.clear()
xform.parm( "reload" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertEqual( xform.parm( "root" ).menuItems(), ( "/", "/1", "/1/2" ) )
def testRopForceObjects( self ) :
s = self.writeAttributeSCC()
d = s.child( "1" ).createChild( "4" )
e = d.createChild( "5" )
box = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
d.writeObject( box, 0 )
e.writeObject( box, 0 )
del s, d, e
def testLinks( bakedObjects = None ) :
if os.path.exists( TestSceneCache.__testLinkedOutFile ) :
os.remove( TestSceneCache.__testLinkedOutFile )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testLinkedOutFile ) )
linked = IECore.LinkedScene( TestSceneCache.__testLinkedOutFile, IECore.IndexedIO.OpenMode.Read )
if bakedObjects :
live = IECoreHoudini.LiveScene( xform.path(), rootPath = [ xform.name() ] )
self.compareScene( linked, live, bakedObjects = bakedObjects )
else :
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, linked )
# make sure the links are where we expect
unlinked = IECore.SceneCache( TestSceneCache.__testLinkedOutFile, IECore.IndexedIO.OpenMode.Read )
a = unlinked.child( "1" )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertFalse( a.hasAttribute( IECore.LinkedScene.timeLinkAttribute ) )
b = a.child( "2" )
self.assertEqual( b.childNames(), [] )
self.assertFalse( b.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertTrue( b.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertTrue( b.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.fileNameLinkAttribute, 0 ), IECore.StringData( TestSceneCache.__testFile ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.rootLinkAttribute, 0 ), IECore.InternedStringVectorData( [ "1", "2" ] ) )
self.assertEqual( b.readAttribute( IECore.LinkedScene.timeLinkAttribute, 0 ), IECore.DoubleData( 0 ) )
d = a.child( "4" )
self.assertFalse( d.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertFalse( d.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertFalse( d.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertFalse( d.hasAttribute( IECore.LinkedScene.timeLinkAttribute ) )
# force b and below as links even though they are expanded
hou.setTime( -1.0 / hou.fps() )
xform = self.xform()
xform.parm( "expand" ).pressButton()
rop = self.rop( xform )
rop.parm( "file" ).set( TestSceneCache.__testLinkedOutFile )
rop.parm( "forceObjects" ).set( "*4*" )
testLinks()
# make sure parents expand if their child is forced
rop.parm( "forceObjects" ).set( "*5*" )
testLinks()
# make sure normal geo gets expanded regardless
geo = xform.createNode( "geo", "real" )
geo.createNode( "box" )
testLinks( bakedObjects = [ "real" ] )
unlinked = IECore.SceneCache( TestSceneCache.__testLinkedOutFile, IECore.IndexedIO.OpenMode.Read )
real = unlinked.child( "real" )
self.assertFalse( real.hasAttribute( IECore.LinkedScene.linkAttribute ) )
self.assertFalse( real.hasAttribute( IECore.LinkedScene.fileNameLinkAttribute ) )
self.assertFalse( real.hasAttribute( IECore.LinkedScene.rootLinkAttribute ) )
self.assertFalse( real.hasAttribute( IECore.LinkedScene.timeLinkAttribute ) )
self.assertTrue( real.hasObject() )
geo.destroy()
# make sure natural links (unexpanded branches) still work
hou.node( xform.path() + "/1/2" ).parm( "collapse" ).pressButton()
testLinks()
# make sure normal SceneCaches aren't broken by forceObjects
rop.parm( "file" ).set( TestSceneCache.__testOutFile )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testOutFile ) )
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
result = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
self.compareScene( orig, result )
def testRopErrors( self ) :
xform = self.xform()
rop = self.rop( xform )
rop.parm( "file" ).set( "/tmp/bad.file" )
rop.parm( "execute" ).pressButton()
self.assertNotEqual( rop.errors(), "" )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
rop.parm( "file" ).set( TestSceneCache.__testOutFile )
rop.parm( "rootObject" ).set( "/obj/fake/object" )
self.assertNotEqual( rop.errors(), "" )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
rop.parm( "rootObject" ).set( xform.path() )
xform.destroy()
self.assertNotEqual( rop.errors(), "" )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
sop = self.sop()
rop.parm( "rootObject" ).set( sop.path() )
rop.parm( "execute" ).pressButton()
self.assertNotEqual( rop.errors(), "" )
self.assertFalse( os.path.exists( TestSceneCache.__testOutFile ) )
newXform = self.xform()
rop.parm( "rootObject" ).set( newXform.path() )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertTrue( os.path.exists( TestSceneCache.__testOutFile ) )
def testAnimatedRop( self ) :
self.writeAnimSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.Parenting )
xform.parm( "expand" ).pressButton()
rop = self.rop( xform )
rop.parm( "trange" ).set( 1 )
rop.parmTuple( "f" ).set( ( 0, 10 * hou.fps(), 1 ) )
rop.parm( "execute" ).pressButton()
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
for time in times :
self.compareScene( orig, output, time )
def testRopCookCounts( self ) :
self.writeAnimSCC()
xform = self.xform()
xform.parm( "expand" ).pressButton()
a = hou.node( xform.path()+"/1/geo/1" ) # static
b = hou.node( xform.path()+"/1/2/geo/2" ) # animated
c = hou.node( xform.path()+"/1/2/3/geo/3" ) # static
# make sure nothing has been cooked
self.assertEqual( a.cookCount(), 0 )
self.assertEqual( b.cookCount(), 0 )
self.assertEqual( c.cookCount(), 0 )
# cook current frame
rop = self.rop( xform )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertEqual( a.cookCount(), 1 )
self.assertEqual( b.cookCount(), 1 )
self.assertEqual( c.cookCount(), 1 )
# cook single frame that is not the current frame
self.assertNotEqual( hou.frame(), 10 )
rop.parm( "trange" ).set( 1 )
rop.parm( "f1" ).set( 10 )
rop.parm( "f2" ).set( 10 )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertEqual( a.cookCount(), 1 )
self.assertEqual( b.cookCount(), 2 )
self.assertEqual( c.cookCount(), 1 )
# cook a range
rop.parm( "f1" ).set( 1 )
rop.parm( "f2" ).set( 10 )
rop.parm( "execute" ).pressButton()
self.assertEqual( rop.errors(), "" )
self.assertEqual( a.cookCount(), 1 )
self.assertEqual( b.cookCount(), 12 )
self.assertEqual( c.cookCount(), 1 )
# with flat geo
sop = self.sop()
self.assertEqual( sop.cookCount(), 0 )
rop.parm( "rootObject" ).set( sop.parent().path() )
rop.parm( "trange" ).set( 1 )
rop.parm( "f1" ).set( 10 )
rop.parm( "f2" ).set( 10 )
rop.parm( "execute" ).pressButton()
self.assertEqual( sop.cookCount(), 1 )
def testRopDynamicSopHierarchy( self ) :
self.writeAnimSCC()
obj = self.geometry()
obj.parm( "expand" ).pressButton()
delete = obj.renderNode().createOutputNode( "delete" )
delete.parm( "groupop" ).set( 1 ) # by range
delete.parm( "rangestart" ).set( 2 )
delete.parm( "rangeend" ).set( 2 )
switch = obj.renderNode().createOutputNode( "switch" )
switch.setInput( 1, delete )
switch.parm( "input" ).setExpression( "if hou.frame() >= 5 :\n\treturn 0\nelse :\n\treturn 1", hou.exprLanguage.Python )
switch.setRenderFlag( True )
rop = self.rop( obj )
rop.parm( "trange" ).set( 1 )
rop.parm( "f1" ).set( 1 )
rop.parm( "f2" ).set( 20 )
rop.parm( "execute" ).pressButton()
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
a = output.child( "1" )
b = a.child( "2" )
c = b.child( "3" )
attr = "scene:visible"
self.assertFalse( a.hasAttribute( attr ) )
self.assertFalse( b.hasAttribute( attr ) )
self.assertTrue( c.hasAttribute( attr ) )
self.assertEqual( c.readAttribute( attr, 0 ), IECore.BoolData( False ) )
self.assertEqual( c.readAttribute( attr, 0.2083 ), IECore.BoolData( False ) )
self.assertEqual( c.readAttribute( attr, 0.2084 ), IECore.BoolData( True ) )
self.assertEqual( c.readAttribute( attr, 1 ), IECore.BoolData( True ) )
del output, a, b, c
IECore.SharedSceneInterfaces.clear()
# make sure it can appear and disappear correctly
switch.parm( "input" ).setExpression( "if hou.frame() < 5 or hou.frame() >= 10 :\n\treturn 1\nelse :\n\treturn 0", hou.exprLanguage.Python )
rop.parm( "execute" ).pressButton()
hou.hipFile.save( "/tmp/bunk.hip" )
output = IECore.SceneCache( TestSceneCache.__testOutFile, IECore.IndexedIO.OpenMode.Read )
a = output.child( "1" )
b = a.child( "2" )
c = b.child( "3" )
self.assertFalse( a.hasAttribute( attr ) )
self.assertFalse( b.hasAttribute( attr ) )
self.assertTrue( c.hasAttribute( attr ) )
self.assertEqual( c.readAttribute( attr, 0 ), IECore.BoolData( False ) )
self.assertEqual( c.readAttribute( attr, 0.2083 ), IECore.BoolData( False ) )
self.assertEqual( c.readAttribute( attr, 0.2084 ), IECore.BoolData( True ) )
self.assertEqual( c.readAttribute( attr, 0.3 ), IECore.BoolData( True ) )
self.assertEqual( c.readAttribute( attr, 0.4167 ), IECore.BoolData( False ) )
self.assertEqual( c.readAttribute( attr, 1 ), IECore.BoolData( False ) )
def testLiveScene( self ) :
self.writeTaggedSCC()
xform = self.xform()
xform.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.SubNetworks )
xform.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.Children )
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
a.parm( "expand" ).pressButton()
b = a.children()[1]
b.parm( "hierarchy" ).set( IECoreHoudini.SceneCacheNode.Hierarchy.FlatGeometry )
b.parm( "depth" ).set( IECoreHoudini.SceneCacheNode.Depth.AllDescendants )
b.parm( "expand" ).pressButton()
orig = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Read )
live = IECoreHoudini.LiveScene( xform.path(), rootPath = [ xform.name() ] )
self.compareScene( orig, live, bakedObjects = [ "3" ] )
def testTopologyChanges( self ) :
plane = IECore.MeshPrimitive.createPlane( IECore.Box2f( IECore.V2f( -1 ), IECore.V2f( 1 ) ) )
box = IECore.MeshPrimitive.createBox( IECore.Box3f( IECore.V3f( 0 ), IECore.V3f( 1 ) ) )
box["Cd"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.Color3fVectorData( [ IECore.Color3f( 1, 0, 0 ) ] * box.variableSize( IECore.PrimitiveVariable.Interpolation.Uniform ) ) )
box2 = IECore.MeshPrimitive.createBox( IECore.Box3f( IECore.V3f( 2 ), IECore.V3f( 3 ) ) )
box2["Cd"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.Color3fVectorData( [ IECore.Color3f( 0, 1, 0 ) ] * box.variableSize( IECore.PrimitiveVariable.Interpolation.Uniform ) ) )
s = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
a = s.createChild( "a" )
b = a.createChild( "b" )
c = a.createChild( "c" )
d = a.createChild( "d" )
# animated topology
b.writeObject( box, 0 )
b.writeObject( plane, 1 )
# static
c.writeObject( box, 0 )
c.writeObject( box, 1 )
# animated P and Cd
d.writeObject( box, 0 )
d.writeObject( box2, 1 )
del s, a, b, c, d
spf = 1.0 / hou.fps()
hou.setTime( 0 - spf )
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
self.assertEqual( len(node.geometry().points()), 24 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( set(nameAttr.strings()), set([ '/a/b', '/a/c', '/a/d' ]) )
bPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/b' ]
cPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/c' ]
dPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/d' ]
self.assertEqual( len(bPrims), 6 )
self.assertEqual( len(cPrims), 6 )
self.assertEqual( len(dPrims), 6 )
self.assertEqual( bPrims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( cPrims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( dPrims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( bPrims[0].attribValue( "Cd" ), ( 1, 0, 0 ) )
self.assertEqual( cPrims[0].attribValue( "Cd" ), ( 1, 0, 0 ) )
self.assertEqual( dPrims[0].attribValue( "Cd" ), ( 1, 0, 0 ) )
hou.setTime( 1 - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 13 )
self.assertEqual( len(node.geometry().points()), 20 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( set(nameAttr.strings()), set([ '/a/b', '/a/c', '/a/d' ]) )
bPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/b' ]
cPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/c' ]
dPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/d' ]
self.assertEqual( len(bPrims), 1 )
self.assertEqual( len(cPrims), 6 )
self.assertEqual( len(dPrims), 6 )
self.assertEqual( bPrims[0].vertex( 0 ).point().position(), hou.Vector3( -1, 1, 0 ) )
self.assertEqual( cPrims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( dPrims[0].vertex( 0 ).point().position(), hou.Vector3( 2, 2, 2 ) )
self.assertEqual( bPrims[0].attribValue( "Cd" ), ( 0, 0, 0 ) )
self.assertEqual( cPrims[0].attribValue( "Cd" ), ( 1, 0, 0 ) )
self.assertEqual( dPrims[0].attribValue( "Cd" ), ( 0, 1, 0 ) )
hou.setTime( 0.5 - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 13 )
self.assertEqual( len(node.geometry().points()), 20 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( set(nameAttr.strings()), set([ '/a/b', '/a/c', '/a/d' ]) )
bPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/b' ]
cPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/c' ]
dPrims = [ x for x in prims if x.attribValue( nameAttr ) == '/a/d' ]
self.assertEqual( len(bPrims), 1 )
self.assertEqual( len(cPrims), 6 )
self.assertEqual( len(dPrims), 6 )
self.assertEqual( bPrims[0].vertex( 0 ).point().position(), hou.Vector3( -1, 1, 0 ) )
self.assertEqual( cPrims[0].vertex( 0 ).point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( dPrims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 1, 1 ) )
self.assertEqual( bPrims[0].attribValue( "Cd" ), ( 0, 0, 0 ) )
self.assertEqual( cPrims[0].attribValue( "Cd" ), ( 1, 0, 0 ) )
self.assertEqual( dPrims[0].attribValue( "Cd" ), ( 0.5, 0.5, 0 ) )
def testSaveLoadCortexObjects( self ) :
self.writeSCC()
sop = self.sop()
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
null = sop.createOutputNode( "null" )
nullPath = null.path()
prims = null.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
# make sure they survive the locks
null.setHardLocked( True )
null.setInput( 0, None )
prims = null.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
# make sure they survive a scene save/load
hou.hipFile.save( TestSceneCache.__testHip )
hou.hipFile.load( TestSceneCache.__testHip )
null = hou.node( nullPath )
prims = null.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
# make sure they survive bgeo caching
writer = null.createOutputNode( "file" )
writer.parm( "file" ).set( TestSceneCache.__testBgeo )
writer.parm( "filemode" ).set( 2 ) # write
writer.cook( force = True )
reader = null.parent().createNode( "file" )
reader.parm( "file" ).set( TestSceneCache.__testBgeo )
prims = reader.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
# make sure they survive bgeo.gz caching
writer.parm( "file" ).set( TestSceneCache.__testBgeoGz )
writer.cook( force = True )
reader = null.parent().createNode( "file" )
reader.parm( "file" ).set( TestSceneCache.__testBgeoGz )
prims = reader.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
# make sure they survive geo caching
writer.parm( "file" ).set( TestSceneCache.__testGeo )
writer.cook( force = True )
reader = null.parent().createNode( "file" )
reader.parm( "file" ).set( TestSceneCache.__testGeo )
prims = reader.geometry().prims()
self.assertEqual( len(prims), 3 )
for i in range( 0, 3 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
def testStashing( self ) :
self.writeSCC()
sop = self.sop()
writer = sop.createOutputNode( "file" )
writer.parm( "file" ).set( TestSceneCache.__testBgeo )
writer.parm( "filemode" ).set( 2 ) # write
writer.cook( force = True )
reader = sop.parent().createNode( "file" )
reader.parm( "file" ).set( TestSceneCache.__testBgeo )
reader.cook( force = True )
reader.cook( force = True )
def testNonPrimitiveCortexObjects( self ) :
scene = self.writeAnimSCC()
coordChild = scene.child( "1" ).createChild( "coord" )
coord = IECore.CoordinateSystem()
coord.setName( "testing" )
coord.setTransform( IECore.MatrixTransform( IECore.M44f.createTranslated( IECore.V3f( 1, 2, 3 ) ) ) )
coordChild.writeObject( coord, 0 )
coord.setTransform( IECore.MatrixTransform( IECore.M44f.createTranslated( IECore.V3f( 1, 5, 5 ) ) ) )
coordChild.writeObject( coord, 1 )
intsChild = scene.createChild( "ints" )
intsChild.writeObject( IECore.IntVectorData( [ 1, 10, 20, 30 ] ), 0 )
del scene, coordChild, intsChild
spf = 1.0 / hou.fps()
hou.setTime( 0 - spf )
sop = self.sop()
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 5 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( sorted(nameAttr.strings()), ['/1', '/1/2', '/1/2/3', '/1/coord', '/ints'] )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
for i in range( 0, 5 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
aPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1' ][0]
bPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/2' ][0]
cPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/2/3' ][0]
coordPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/coord' ][0]
intsPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/ints' ][0]
self.assertEqual( aPrim.vertices()[0].point().position(), hou.Vector3( 1.5, 0.5, 0.5 ) )
self.assertEqual( bPrim.vertices()[0].point().position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( cPrim.vertices()[0].point().position(), hou.Vector3( 6.5, 0.5, 0.5 ) )
self.assertEqual( coordPrim.vertices()[0].point().position(), hou.Vector3( 2, 2, 3 ) )
self.assertEqual( intsPrim.vertices()[0].point().position(), hou.Vector3( 0, 0, 0 ) )
converter = IECoreHoudini.FromHoudiniGeometryConverter.create( sop )
self.assertTrue( isinstance( converter, IECoreHoudini.FromHoudiniCompoundObjectConverter ) )
result = converter.convert()
self.assertTrue( isinstance( result, IECore.CompoundObject ) )
self.assertEqual( sorted( result.keys() ), ['/1', '/1/2', '/1/2/3', '/1/coord', '/ints'] )
self.assertTrue( isinstance( result["/1"], IECore.MeshPrimitive ) )
self.assertTrue( isinstance( result["/1/2"], IECore.MeshPrimitive ) )
self.assertTrue( isinstance( result["/1/2/3"], IECore.MeshPrimitive ) )
self.assertTrue( isinstance( result["/1/coord"], IECore.CoordinateSystem ) )
self.assertEqual( result["/ints"], IECore.IntVectorData( [ 1, 10, 20, 30 ] ) )
hou.setTime( 1 - spf )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 5 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( sorted(nameAttr.strings()), ['/1', '/1/2', '/1/2/3', '/1/coord', '/ints'] )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
for i in range( 0, 5 ) :
self.assertEqual( prims[i].type(), hou.primType.Custom )
self.assertEqual( prims[i].vertices()[0].point().number(), i )
aPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1' ][0]
bPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/2' ][0]
cPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/2/3' ][0]
coordPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/1/coord' ][0]
intsPrim = [ x for x in prims if x.attribValue( nameAttr ) == '/ints' ][0]
self.assertEqual( aPrim.vertices()[0].point().position(), hou.Vector3( 1.5, 1.5, 0.5 ) )
self.assertEqual( bPrim.vertices()[0].point().position(), hou.Vector3( 3.5, 2.5, 0.5 ) )
self.assertEqual( cPrim.vertices()[0].point().position(), hou.Vector3( 6.5, 3.5, 0.5 ) )
self.assertEqual( coordPrim.vertices()[0].point().position(), hou.Vector3( 2, 6, 5 ) )
self.assertEqual( intsPrim.vertices()[0].point().position(), hou.Vector3( 0, 0, 0 ) )
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 18 )
self.assertTrue( "/1/coord" in sop.warnings() )
self.assertTrue( "/ints" in sop.warnings() )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, 1, 0 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, 2, 0 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, 3, 0 ) )
def testCoordinateSystemNoTransform( self ) :
scene = IECore.SceneCache( TestSceneCache.__testFile, IECore.IndexedIO.OpenMode.Write )
coordChild = scene.createChild( "coord")
coord = IECore.CoordinateSystem()
coord.setName( "testing" )
coordChild.writeObject( coord, 0 )
coordChild2 = coordChild.createChild( "other")
coordChild2.writeTransform( IECore.M44dData( IECore.M44d.createTranslated( IECore.V3d( 1, 2, 3 ) ) ), 0 )
coordChild2.writeObject( coord, 0 )
del scene, coordChild, coordChild2
sop = self.sop()
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
prims = sop.geometry().prims()
self.assertEqual( len(prims), 2 )
nameAttr = sop.geometry().findPrimAttrib( "name" )
self.assertEqual( sorted(nameAttr.strings()), [ "/coord", "/coord/other" ] )
self.assertEqual( prims[0].attribValue( "name" ), "/coord" )
self.assertEqual( prims[0].type(), hou.primType.Custom )
self.assertEqual( prims[0].vertices()[0].point().number(), 0 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 0, 0, 0 ) )
self.assertEqual( prims[1].attribValue( "name" ), "/coord/other" )
self.assertEqual( prims[1].type(), hou.primType.Custom )
self.assertEqual( prims[1].vertices()[0].point().number(), 1 )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 1, 2, 3 ) )
def testObjectMerge( self ) :
self.writeSCC()
xform = self.xform()
xform.parm( "expand" ).pressButton()
origSop = hou.node( xform.path()+"/1/2/geo/2" )
merge = hou.node( "/obj" ).createNode( "geo" ).createNode( "object_merge" )
merge.parm( "objpath1" ).set( origSop.path() )
# not transformed because we haven't set "Into this Object"
geo = merge.geometry()
self.assertEqual( geo.points()[0].position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( geo.boundingBox(), hou.BoundingBox( 0, 0, 0, 1, 1, 1 ) )
# transformed to its world position
merge.parm( "xformtype" ).set( 1 ) # "Into this Object"
geo = merge.geometry()
self.assertEqual( geo.points()[0].position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( geo.boundingBox(), hou.BoundingBox( 3, 0, 0, 4, 1, 1 ) )
mesh = IECoreHoudini.FromHoudiniGeometryConverter.create( merge ).convert()
self.assertEqual( mesh.bound(), IECore.Box3f( IECore.V3f( 3, 0, 0 ), IECore.V3f( 4, 1, 1 ) ) )
# didn't affect the original SOP because it stores it's own copy of the prim
geo = origSop.geometry()
self.assertEqual( geo.points()[0].position(), hou.Vector3( 0.5, 0.5, 0.5 ) )
self.assertEqual( geo.boundingBox(), hou.BoundingBox( 0, 0, 0, 1, 1, 1 ) )
mesh = IECoreHoudini.FromHoudiniGeometryConverter.create( origSop ).convert()
self.assertEqual( mesh.bound(), IECore.Box3f( IECore.V3f( 0 ), IECore.V3f( 1 ) ) )
# transformable at the SOP level as well
sopXform = merge.createOutputNode( "xform" )
sopXform.parm( "ty" ).set( 7 )
geo = sopXform.geometry()
self.assertEqual( geo.points()[0].position(), hou.Vector3( 3.5, 7.5, 0.5 ) )
self.assertEqual( geo.boundingBox(), hou.BoundingBox( 3, 7, 0, 4, 8, 1 ) )
mesh = IECoreHoudini.FromHoudiniGeometryConverter.create( sopXform ).convert()
self.assertEqual( mesh.bound(), IECore.Box3f( IECore.V3f( 3, 7, 0 ), IECore.V3f( 4, 8, 1 ) ) )
# didn't affect the input SOP because it stores it's own copy of the prim
geo = merge.geometry()
self.assertEqual( geo.points()[0].position(), hou.Vector3( 3.5, 0.5, 0.5 ) )
self.assertEqual( geo.boundingBox(), hou.BoundingBox( 3, 0, 0, 4, 1, 1 ) )
mesh = IECoreHoudini.FromHoudiniGeometryConverter.create( merge ).convert()
self.assertEqual( mesh.bound(), IECore.Box3f( IECore.V3f( 3, 0, 0 ), IECore.V3f( 4, 1, 1 ) ) )
def testPointsDontAccumulate( self ) :
obj = hou.node("/obj")
geo = obj.createNode("geo", run_init_scripts=False)
box = geo.createNode( "box" )
facet = geo.createNode( "facet" )
facet.parm("postnml").set(True)
points = geo.createNode( "scatter" )
points.parm( "npts" ).set( 5000 )
facet.setInput( 0, box )
points.setInput( 0, facet )
points.setRenderFlag( True )
points.setDisplayFlag( True )
rop = self.rop( geo )
rop.parm( "trange" ).set( 1 )
rop.parmTuple( "f" ).set( ( 1, 10, 1 ) )
rop.parm( "execute" ).pressButton()
sop = self.sop()
sop.parm( "file" ).set( TestSceneCache.__testOutFile )
sop.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
for t in range( 0, 10 ) :
hou.setTime( t )
self.assertEqual( len(sop.geometry().points()), 5000 )
self.assertEqual( len(sop.geometry().prims()), 1 )
def testTimeDependent( self ) :
self.writeSCC()
xform = self.xform()
xform.parm( "expand" ).pressButton()
self.assertFalse( hou.node( xform.path()+"/1" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo/1" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/geo/2" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/3" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/3/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/3/geo/3" ).isTimeDependent() )
scene = self.writeSCC()
sc1 = scene.child( str( 1 ) )
sc2 = sc1.child( str( 2 ) )
sc3 = sc2.child( str( 3 ) )
for time in [ 0.5, 1, 1.5, 2, 5, 10 ] :
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) )
sc2.writeTransform( IECore.M44dData( matrix ), time )
matrix = IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) )
sc3.writeTransform( IECore.M44dData( matrix ), time )
del scene, sc1, sc2, sc3
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertFalse( hou.node( xform.path()+"/1" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo/1" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/geo/2" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/3/geo/3" ).isTimeDependent() )
scene = self.writeSCC()
sc1 = scene.child( str( 1 ) )
sc2 = sc1.child( str( 2 ) )
sc3 = sc2.child( str( 3 ) )
mesh = IECore.MeshPrimitive.createBox(IECore.Box3f(IECore.V3f(0),IECore.V3f(1)))
for time in [ 0.5, 1, 1.5, 2, 5, 10 ] :
matrix = IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) )
sc2.writeTransform( IECore.M44dData( matrix ), time )
mesh["Cs"] = IECore.PrimitiveVariable( IECore.PrimitiveVariable.Interpolation.Uniform, IECore.V3fVectorData( [ IECore.V3f( time, 1, 0 ) ] * 6 ) )
sc2.writeObject( mesh, time )
del scene, sc1, sc2, sc3
xform.parm( "collapse" ).pressButton()
xform.parm( "expand" ).pressButton()
self.assertFalse( hou.node( xform.path()+"/1" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/geo/1" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/geo/2" ).isTimeDependent() )
if hou.applicationVersion()[0] >= 14 :
self.assertTrue( hou.node( xform.path()+"/1/2/3" ).isTimeDependent() )
else :
self.assertFalse( hou.node( xform.path()+"/1/2/3" ).isTimeDependent() )
self.assertTrue( hou.node( xform.path()+"/1/2/3/geo" ).isTimeDependent() )
self.assertFalse( hou.node( xform.path()+"/1/2/3/geo/3" ).isTimeDependent() )
def testSceneMethod( self ) :
def testNode( node ) :
sceneNode = IECoreHoudini.SceneCacheNode( node )
shared = IECore.SharedSceneInterfaces.get( TestSceneCache.__testFile )
self.assertTrue( sceneNode.scene().isSame( shared ) )
node.parm( "root" ).set( "/1/fake" )
self.assertEqual( sceneNode.scene(), None )
node.parm( "root" ).set( "/1/2" )
self.compareScene( sceneNode.scene(), shared.scene( [ "1", "2" ] ) )
self.writeSCC()
testNode( self.sop() )
testNode( self.xform() )
testNode( self.geometry() )
testNode( self.sopXform() )
def testTransformOverride( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
xform = self.xform()
xform.parm( "expand" ).pressButton()
a = xform.children()[0]
b = [ x for x in a.children() if x.name() != "geo" ][0]
c = [ x for x in b.children() if x.name() != "geo" ][0]
for time in times :
if hou.applicationVersion()[0] >= 14 :
self.assertEqual( IECore.M44d( list(xform.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time * 2, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 6, time * 3, 0 ) ) )
else :
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
for time in times :
hou.setTime( time - spf )
self.assertEqual( IECore.M44d( list(xform.parmTransform().asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 1, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 3, time, 0 ) ) )
a.parm( "overrideTransform" ).set( True )
c.parm( "overrideTransform" ).set( True )
c.parm( "tx" ).setExpression( "$T+1/$FPS" )
for time in times :
if hou.applicationVersion()[0] >= 14 :
self.assertEqual( IECore.M44d( list(xform.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 0, 0, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.localTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( time, 0, 0 ) ) )
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 0, 0, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2 + time, time, 0 ) ) )
else :
self.assertEqual( IECore.M44d( list(xform.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 0, 0, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.worldTransformAtTime( time - spf ).asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( time, 0, 0 ) ) )
for time in times :
hou.setTime( time - spf )
self.assertEqual( IECore.M44d( list(xform.parmTransform().asTuple()) ), IECore.M44d() )
self.assertEqual( IECore.M44d( list(a.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 0, 0, 0 ) ) )
self.assertEqual( IECore.M44d( list(b.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( 2, time, 0 ) ) )
self.assertEqual( IECore.M44d( list(c.parmTransform().asTuple()) ), IECore.M44d.createTranslated( IECore.V3d( time, 0, 0 ) ) )
def testGeometryTypes( self ) :
self.writeAnimSCC()
times = range( 0, 10 )
halves = [ x + 0.5 for x in times ]
quarters = [ x + 0.25 for x in times ]
times.extend( [ x + 0.75 for x in times ] )
times.extend( halves )
times.extend( quarters )
times.sort()
spf = 1.0 / hou.fps()
node = self.sop()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Cortex )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
self.assertEqual( prims[0].vertices()[0].point().position(), hou.Vector3( 1.5, time + 0.5, 0.5 ) )
self.assertEqual( prims[1].vertices()[0].point().position(), hou.Vector3( 3.5, time*2 + 0.5, 0.5 ) )
self.assertEqual( prims[2].vertices()[0].point().position(), hou.Vector3( 6.5, time*3 + 0.5, 0.5 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.Houdini )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, time, 0 ) )
self.assertEqual( prims[4].vertex( 0 ).point().position(), hou.Vector3( 2, time + 1, 1 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, time*2, 0 ) )
self.assertEqual( prims[10].vertex( 0 ).point().position(), hou.Vector3( 4, time*2 + 1, 1 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, time*3, 0 ) )
self.assertEqual( prims[16].vertex( 0 ).point().position(), hou.Vector3( 7, time*3 + 1, 1 ) )
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.BoundingBox )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 18 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 6 )
self.assertEqual( prims[0].vertex( 0 ).point().position(), hou.Vector3( 1, time, 0 ) )
self.assertEqual( prims[4].vertex( 0 ).point().position(), hou.Vector3( 7, time*3 + 1, 1 ) )
self.assertEqual( prims[6].vertex( 0 ).point().position(), hou.Vector3( 3, time*2, 0 ) )
self.assertEqual( prims[10].vertex( 0 ).point().position(), hou.Vector3( 7, time*3 + 1, 1 ) )
self.assertEqual( prims[12].vertex( 0 ).point().position(), hou.Vector3( 6, time*3, 0 ) )
self.assertEqual( prims[16].vertex( 0 ).point().position(), hou.Vector3( 7, time*3 + 1, 1 ) )
# re-write with rotation to prove point cloud basis vectors are accurate
self.writeAnimSCC( rotate = True )
scene = IECore.SharedSceneInterfaces.get( TestSceneCache.__testFile )
a = scene.child( "1" )
b = a.child( "2" )
c = b.child( "3" )
node.parm( "reload" ).pressButton()
node.parm( "geometryType" ).set( IECoreHoudini.SceneCacheNode.GeometryType.PointCloud )
for time in times :
hou.setTime( time - spf )
prims = node.geometry().prims()
self.assertEqual( len(prims), 3 )
nameAttr = node.geometry().findPrimAttrib( "name" )
self.assertEqual( nameAttr.strings(), tuple( [ '/1', '/1/2', '/1/2/3' ] ) )
for name in nameAttr.strings() :
self.assertEqual( len([ x for x in prims if x.attribValue( "name" ) == name ]), 1 )
aPoint = prims[0].vertices()[0].point()
bPoint = prims[1].vertices()[0].point()
cPoint = prims[2].vertices()[0].point()
aWorld = scene.readTransformAsMatrix( time ) * a.readTransformAsMatrix( time )
bWorld = aWorld * b.readTransformAsMatrix( time )
cWorld = bWorld * c.readTransformAsMatrix( time )
self.assertTrue( IECore.V3d( list(aPoint.position()) ).equalWithAbsError( aWorld.multVecMatrix( a.readBound( time ).center() ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(bPoint.position()) ).equalWithAbsError( bWorld.multVecMatrix( b.readBound( time ).center() ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(cPoint.position()) ).equalWithAbsError( cWorld.multVecMatrix( c.readBound( time ).center() ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(aPoint.attribValue( "basis1" )) ).equalWithAbsError( IECore.V3d( aWorld[(0,0)], aWorld[(0,1)], aWorld[(0,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(aPoint.attribValue( "basis2" )) ).equalWithAbsError( IECore.V3d( aWorld[(1,0)], aWorld[(1,1)], aWorld[(1,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(aPoint.attribValue( "basis3" )) ).equalWithAbsError( IECore.V3d( aWorld[(2,0)], aWorld[(2,1)], aWorld[(2,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(bPoint.attribValue( "basis1" )) ).equalWithAbsError( IECore.V3d( bWorld[(0,0)], bWorld[(0,1)], bWorld[(0,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(bPoint.attribValue( "basis2" )) ).equalWithAbsError( IECore.V3d( bWorld[(1,0)], bWorld[(1,1)], bWorld[(1,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(bPoint.attribValue( "basis3" )) ).equalWithAbsError( IECore.V3d( bWorld[(2,0)], bWorld[(2,1)], bWorld[(2,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(cPoint.attribValue( "basis1" )) ).equalWithAbsError( IECore.V3d( cWorld[(0,0)], cWorld[(0,1)], cWorld[(0,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(cPoint.attribValue( "basis2" )) ).equalWithAbsError( IECore.V3d( cWorld[(1,0)], cWorld[(1,1)], cWorld[(1,2)] ), 1e-6 ) )
self.assertTrue( IECore.V3d( list(cPoint.attribValue( "basis3" )) ).equalWithAbsError( IECore.V3d( cWorld[(2,0)], cWorld[(2,1)], cWorld[(2,2)] ), 1e-6 ) )
def testNonExistantAttributes( self ) :
self.writeSCC()
node = self.xform()
node.parm( "expand" ).pressButton()
scene = IECoreHoudini.LiveScene( node.path(), rootPath = [ node.name() ] )
self.assertEqual( scene.attributeNames(), [] )
self.assertFalse( scene.hasAttribute( "test" ) )
self.assertEqual( scene.readAttribute( "test", 0 ), None )
def tearDown( self ) :
for f in [ TestSceneCache.__testFile, TestSceneCache.__testOutFile, TestSceneCache.__testLinkedOutFile, TestSceneCache.__testHip, TestSceneCache.__testBgeo, TestSceneCache.__testBgeoGz, TestSceneCache.__testGeo ] :
if os.path.exists( f ) :
os.remove( f )
if __name__ == "__main__":
unittest.main()
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0
| 8
|
22c55f667de0fc14bef7956bdd168df035a20ead
| 117
|
py
|
Python
|
src/utils/pause.py
|
Kamuish/serval
|
37807c4dc9d16bd91daa3931a89f128404c83dd6
|
[
"MIT"
] | null | null | null |
src/utils/pause.py
|
Kamuish/serval
|
37807c4dc9d16bd91daa3931a89f128404c83dd6
|
[
"MIT"
] | 20
|
2020-01-30T22:08:59.000Z
|
2020-02-17T23:24:11.000Z
|
src/utils/pause.py
|
Kamuish/serval
|
37807c4dc9d16bd91daa3931a89f128404c83dd6
|
[
"MIT"
] | null | null | null |
""" TEMPORARY FIX """
def pause(*args):
print("TRYING TO PAUSE")
def stop(*args):
print("TRYING TO STOP")
| 14.625
| 28
| 0.598291
| 16
| 117
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| 117
| 8
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0
| 8
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22d27ee665e3d4185325e8a0ae49d628517eabd0
| 225
|
py
|
Python
|
pycaprio/core/objects/__init__.py
|
reckart/pycaprio
|
1d030ecd97cb324e404c16520fe6250c49c3bb06
|
[
"MIT"
] | 9
|
2019-08-27T11:21:07.000Z
|
2021-03-11T15:41:44.000Z
|
pycaprio/core/objects/__init__.py
|
reckart/pycaprio
|
1d030ecd97cb324e404c16520fe6250c49c3bb06
|
[
"MIT"
] | 25
|
2019-09-03T11:05:18.000Z
|
2021-04-18T15:57:33.000Z
|
pycaprio/core/objects/__init__.py
|
reckart/pycaprio
|
1d030ecd97cb324e404c16520fe6250c49c3bb06
|
[
"MIT"
] | 6
|
2019-10-02T16:51:10.000Z
|
2021-03-11T15:41:52.000Z
|
# flake8: noqa
from pycaprio.core.objects.annotation import Annotation
from pycaprio.core.objects.document import Document
from pycaprio.core.objects.project import Project
from pycaprio.core.objects.curation import Curation
| 37.5
| 55
| 0.853333
| 30
| 225
| 6.4
| 0.366667
| 0.25
| 0.333333
| 0.479167
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004854
| 0.084444
| 225
| 5
| 56
| 45
| 0.927184
| 0.053333
| 0
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| 0
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| 0
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| 0
| 0
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| 0
| true
| 0
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| null | 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
22ed871a0065b44d748a83c43965b08f77dba746
| 12,318
|
py
|
Python
|
src/abaqus/BoundaryCondition/SubmodelBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | 7
|
2022-01-21T09:15:45.000Z
|
2022-02-15T09:31:58.000Z
|
src/abaqus/BoundaryCondition/SubmodelBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
src/abaqus/BoundaryCondition/SubmodelBC.py
|
Haiiliin/PyAbaqus
|
f20db6ebea19b73059fe875a53be370253381078
|
[
"MIT"
] | null | null | null |
from abaqusConstants import *
from .BoundaryCondition import BoundaryCondition
from ..Region.Region import Region
class SubmodelBC(BoundaryCondition):
"""The SubmodelBC object stores the data for a submodel boundary condition.
The SubmodelBC object is derived from the BoundaryCondition object.
Attributes
----------
name: str
A String specifying the boundary condition repository key.
shellThickness: float
A Float specifying the thickness of the shell in the global model. This argument is
required for shell-to-solid submodeling and is not applicable to other submodels. The
default value is 0.0.
absoluteExteriorTolerance: float
None or a Float specifying the absolute value by which a driven node of the submodel can
lie outside the region of the elements of the global model. The default value is None.
exteriorTolerance: float
None or a Float specifying the fraction of the average element size in the global model
by which a driven node of the submodel can lie outside the region of the elements of the
global model. The default value is 0.05.
globalDrivingRegion: str
A String specifying the element set in the global model that will be searched for
elements whose responses will be used to drive the submodel. An empty string indicates
that the entire global model will be searched. The default value is an empty string.
category: SymbolicConstant
A SymbolicConstant specifying the category of the boundary condition. Possible values
are MECHANICAL and THERMAL.
region: Region
A :py:class:`~abaqus.Region.Region.Region` object specifying the region to which the boundary condition is applied.
localCsys: str
None or a :py:class:`~abaqus.Datum.DatumCsys.DatumCsys` object specifying the local coordinate system of the boundary
condition's degrees of freedom. If **localCsys=None**, the degrees of freedom are defined
in the global coordinate system. The default value is None.
Notes
-----
This object can be accessed by:
.. code-block:: python
import load
mdb.models[name].boundaryConditions[name]
"""
# A String specifying the boundary condition repository key.
name: str = ''
# A Float specifying the thickness of the shell in the global model. This argument is
# required for shell-to-solid submodeling and is not applicable to other submodels. The
# default value is 0.0.
shellThickness: float = 0
# None or a Float specifying the absolute value by which a driven node of the submodel can
# lie outside the region of the elements of the global model. The default value is None.
absoluteExteriorTolerance: float = None
# None or a Float specifying the fraction of the average element size in the global model
# by which a driven node of the submodel can lie outside the region of the elements of the
# global model. The default value is 0.05.
exteriorTolerance: float = 0
# A String specifying the element set in the global model that will be searched for
# elements whose responses will be used to drive the submodel. An empty string indicates
# that the entire global model will be searched. The default value is an empty string.
globalDrivingRegion: str = ''
# A SymbolicConstant specifying the category of the boundary condition. Possible values
# are MECHANICAL and THERMAL.
category: SymbolicConstant = None
# A Region object specifying the region to which the boundary condition is applied.
region: Region = Region()
# None or a DatumCsys object specifying the local coordinate system of the boundary
# condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
# in the global coordinate system. The default value is None.
localCsys: str = None
def __init__(self, name: str, createStepName: str, region: Region, dof: tuple, globalStep: str,
timeScale: Boolean, shellThickness: float, globalDrivingRegion: str = '',
absoluteExteriorTolerance: float = None, exteriorTolerance: float = 0,
localCsys: str = None, globalIncrement: int = 0, centerZoneSize: float = None,
intersectionOnly: Boolean = OFF):
"""This method creates a SubmodelBC object.
Notes
-----
This function can be accessed by:
.. code-block:: python
mdb.models[name].SubmodelBC
Parameters
----------
name
A String specifying the boundary condition repository key.
createStepName
A String specifying the name of the step in which the boundary condition is created.
region
A Region object specifying the region to which the boundary condition is applied.
dof
A sequence of Ints specifying the degrees of freedom to which the boundary condition is
applied.
globalStep
A String specifying the step in the global model from which Abaqus reads the values of
the variables that will drive the submodel analysis. The String indicates the position
of the step in the sequence of analysis steps. For example, *globalStep*='1' indicates
the first step.
timeScale
A Boolean specifying whether to scale the time variable for the driven nodes' amplitude
functions to match the submodel analysis step time. The default value is OFF.
shellThickness
A Float specifying the thickness of the shell in the global model. This argument is
required for shell-to-solid submodeling and is not applicable to other submodels. The
default value is 0.0.
globalDrivingRegion
A String specifying the element set in the global model that will be searched for
elements whose responses will be used to drive the submodel. An empty string indicates
that the entire global model will be searched. The default value is an empty string.
absoluteExteriorTolerance
None or a Float specifying the absolute value by which a driven node of the submodel can
lie outside the region of the elements of the global model. The default value is None.
exteriorTolerance
None or a Float specifying the fraction of the average element size in the global model
by which a driven node of the submodel can lie outside the region of the elements of the
global model. The default value is 0.05.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
globalIncrement
An Int specifying the increment number in the global model step from which the solution
will be used to specify the values of the driven variables. If *globalIncrement*=0, the
solution from the last increment will be used. The *globalIncrement* argument is
applicable only for linear perturbation steps. The default value is 0.
centerZoneSize
A Float specifying the thickness of the center zone size around the shell midsurface.
The default value is None.
intersectionOnly
A Boolean specifying whether to ignore driven nodes that lie outside the region of
elements of the global model after accounting for the exterior search tolerance. The
default value is OFF.
Returns
-------
A SubmodelBC object.
"""
super().__init__()
pass
def setValues(self, globalDrivingRegion: str = '', absoluteExteriorTolerance: float = None,
exteriorTolerance: float = 0, localCsys: str = None, globalIncrement: int = 0,
centerZoneSize: float = None, intersectionOnly: Boolean = OFF):
"""This method modifies the data for an existing SubmodelBC object in the step where it is
created.
Parameters
----------
globalDrivingRegion
A String specifying the element set in the global model that will be searched for
elements whose responses will be used to drive the submodel. An empty string indicates
that the entire global model will be searched. The default value is an empty string.
absoluteExteriorTolerance
None or a Float specifying the absolute value by which a driven node of the submodel can
lie outside the region of the elements of the global model. The default value is None.
exteriorTolerance
None or a Float specifying the fraction of the average element size in the global model
by which a driven node of the submodel can lie outside the region of the elements of the
global model. The default value is 0.05.
localCsys
None or a DatumCsys object specifying the local coordinate system of the boundary
condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined
in the global coordinate system. The default value is None.
globalIncrement
An Int specifying the increment number in the global model step from which the solution
will be used to specify the values of the driven variables. If *globalIncrement*=0, the
solution from the last increment will be used. The *globalIncrement* argument is
applicable only for linear perturbation steps. The default value is 0.
centerZoneSize
A Float specifying the thickness of the center zone size around the shell midsurface.
The default value is None.
intersectionOnly
A Boolean specifying whether to ignore driven nodes that lie outside the region of
elements of the global model after accounting for the exterior search tolerance. The
default value is OFF.
"""
pass
def setValuesInStep(self, stepName: str, fixed: Boolean = ON, dof: tuple = (), globalStep: str = '',
globalIncrement: int = 0, centerZoneSize: float = None):
"""This method modifies the propagating data for an existing SubmodelBC object in the
specified step.
Parameters
----------
stepName
A String specifying the name of the step in which the boundary condition is modified.
fixed
A Boolean specifying whether the boundary condition should remain fixed at the current
values at the start of the step. The default value is ON.
dof
A sequence of Ints specifying the degrees of freedom to which the boundary condition is
applied. The *dof* argument is applicable only if *fixed*=OFF.
globalStep
A String specifying the step in the global model from which Abaqus reads the values of
the variables that will drive the submodel analysis. The String indicates the position
of the step in the sequence of analysis steps. For example, *globalStep*='1' indicates
the first step. The *globalStep* argument is applicable only if *fixed*=OFF.
globalIncrement
An Int specifying the increment number in the global model step at which the solution
will be used to specify the values of the driven variables. If *globalIncrement*=0, the
solution from the last increment will be used. The *globalIncrement* argument is
applicable only for linear perturbation steps and if *fixed*=OFF. The default value is
0.
centerZoneSize
A Float specifying the thickness of the center zone size around the shell midsurface.
The default value is None.The *centerZoneSize* argument is applicable only if
*fixed*=OFF.
"""
pass
| 54.264317
| 125
| 0.67787
| 1,604
| 12,318
| 5.200748
| 0.115337
| 0.031168
| 0.052146
| 0.059099
| 0.833613
| 0.82726
| 0.822225
| 0.801606
| 0.786502
| 0.773556
| 0
| 0.003746
| 0.284786
| 12,318
| 226
| 126
| 54.504425
| 0.943133
| 0.785598
| 0
| 0.115385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.115385
| false
| 0.115385
| 0.115385
| 0
| 0.576923
| 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
| 1
| 0
|
0
| 8
|
a3b9ea1610a20059786b5c26c1c0b33d5b50f05f
| 185
|
py
|
Python
|
streamer_pytorch/__init__.py
|
liruilong940607/streamer_pytorch
|
83a7962d8a9f064d9b78e093cbf3223ec1dd24cd
|
[
"MIT"
] | 2
|
2020-12-22T17:20:25.000Z
|
2021-09-14T03:15:27.000Z
|
streamer_pytorch/__init__.py
|
liruilong940607/streamer_pytorch
|
83a7962d8a9f064d9b78e093cbf3223ec1dd24cd
|
[
"MIT"
] | null | null | null |
streamer_pytorch/__init__.py
|
liruilong940607/streamer_pytorch
|
83a7962d8a9f064d9b78e093cbf3223ec1dd24cd
|
[
"MIT"
] | 1
|
2021-09-19T09:37:59.000Z
|
2021-09-19T09:37:59.000Z
|
from .streamer import BaseStreamer
from .streamer import CaptureStreamer
from .streamer import VideoListStreamer
from .streamer import ImageListStreamer
from .streamer import aug_matrix
| 37
| 39
| 0.87027
| 21
| 185
| 7.619048
| 0.428571
| 0.375
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102703
| 185
| 5
| 40
| 37
| 0.963855
| 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
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
a3e400ab7bd7a1c612da672f2be4f9a3db674ba3
| 170
|
py
|
Python
|
polls/admin.py
|
arunko350/deblog
|
3dc7c8b4a50ecaef252483053a205781333b60fd
|
[
"MIT"
] | null | null | null |
polls/admin.py
|
arunko350/deblog
|
3dc7c8b4a50ecaef252483053a205781333b60fd
|
[
"MIT"
] | null | null | null |
polls/admin.py
|
arunko350/deblog
|
3dc7c8b4a50ecaef252483053a205781333b60fd
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from polls.models import Choice
# Register your models here.
from polls.models import Question
admin.site.register([Question, Choice])
| 21.25
| 39
| 0.805882
| 24
| 170
| 5.708333
| 0.541667
| 0.131387
| 0.218978
| 0.306569
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.123529
| 170
| 7
| 40
| 24.285714
| 0.919463
| 0.152941
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
4308ec7488dc78ab8943889dd1964fdd1f1397c9
| 2,546
|
py
|
Python
|
umbra/common/protobuf/umbra_pb2_grpc.py
|
banoris/umbra
|
3c141d8f54398dfa2b0e991db25e74533f49fe8b
|
[
"Apache-2.0"
] | null | null | null |
umbra/common/protobuf/umbra_pb2_grpc.py
|
banoris/umbra
|
3c141d8f54398dfa2b0e991db25e74533f49fe8b
|
[
"Apache-2.0"
] | 9
|
2020-06-19T11:09:26.000Z
|
2020-08-19T14:46:34.000Z
|
umbra/common/protobuf/umbra_pb2_grpc.py
|
banoris/umbra
|
3c141d8f54398dfa2b0e991db25e74533f49fe8b
|
[
"Apache-2.0"
] | null | null | null |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
import grpc
import umbra_pb2 as umbra__pb2
class BrokerStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Run = channel.unary_unary(
'/umbra.Broker/Run',
request_serializer=umbra__pb2.Config.SerializeToString,
response_deserializer=umbra__pb2.Report.FromString,
)
class BrokerServicer(object):
# missing associated documentation comment in .proto file
pass
def Run(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_BrokerServicer_to_server(servicer, server):
rpc_method_handlers = {
'Run': grpc.unary_unary_rpc_method_handler(
servicer.Run,
request_deserializer=umbra__pb2.Config.FromString,
response_serializer=umbra__pb2.Report.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'umbra.Broker', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
class ScenarioStub(object):
# missing associated documentation comment in .proto file
pass
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.Run = channel.unary_unary(
'/umbra.Scenario/Run',
request_serializer=umbra__pb2.Deploy.SerializeToString,
response_deserializer=umbra__pb2.Built.FromString,
)
class ScenarioServicer(object):
# missing associated documentation comment in .proto file
pass
def Run(self, request, context):
# missing associated documentation comment in .proto file
pass
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_ScenarioServicer_to_server(servicer, server):
rpc_method_handlers = {
'Run': grpc.unary_unary_rpc_method_handler(
servicer.Run,
request_deserializer=umbra__pb2.Deploy.FromString,
response_serializer=umbra__pb2.Built.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'umbra.Scenario', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
| 28.606742
| 69
| 0.728987
| 283
| 2,546
| 6.279152
| 0.240283
| 0.04502
| 0.101294
| 0.12493
| 0.839617
| 0.716939
| 0.716939
| 0.716939
| 0.716939
| 0.640405
| 0
| 0.004833
| 0.187353
| 2,546
| 88
| 70
| 28.931818
| 0.854036
| 0.195601
| 0
| 0.555556
| 1
| 0
| 0.079801
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0.111111
| 0.037037
| 0
| 0.222222
| 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
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
4335cbb133cded5a126d4a1039ab72dba04cb065
| 160
|
py
|
Python
|
networkx/algorithms/community/__init__.py
|
kakila/networkx
|
a7c7e0bd2057acf8066d796e53f6ea1a77be803e
|
[
"BSD-3-Clause"
] | 1
|
2020-11-10T08:15:23.000Z
|
2020-11-10T08:15:23.000Z
|
networkx/algorithms/community/__init__.py
|
kakila/networkx
|
a7c7e0bd2057acf8066d796e53f6ea1a77be803e
|
[
"BSD-3-Clause"
] | null | null | null |
networkx/algorithms/community/__init__.py
|
kakila/networkx
|
a7c7e0bd2057acf8066d796e53f6ea1a77be803e
|
[
"BSD-3-Clause"
] | null | null | null |
from networkx.algorithms.community.asyn_lpa import *
from networkx.algorithms.community.centrality import *
from networkx.algorithms.community.kclique import *
| 40
| 54
| 0.85
| 19
| 160
| 7.105263
| 0.473684
| 0.266667
| 0.488889
| 0.688889
| 0.548148
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.075
| 160
| 3
| 55
| 53.333333
| 0.912162
| 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
|
4a5c0e2c07a4d6ee0b1da80f434de76e68fe7d3a
| 464,066
|
py
|
Python
|
applications/z3pyir/opt/check-healthplus.py
|
wangjwchn/autogr
|
c6b5404f6165ea6374f628dbd433ef25253ab5f8
|
[
"MIT"
] | null | null | null |
applications/z3pyir/opt/check-healthplus.py
|
wangjwchn/autogr
|
c6b5404f6165ea6374f628dbd433ef25253ab5f8
|
[
"MIT"
] | null | null | null |
applications/z3pyir/opt/check-healthplus.py
|
wangjwchn/autogr
|
c6b5404f6165ea6374f628dbd433ef25253ab5f8
|
[
"MIT"
] | null | null | null |
import sys
sys.path.append("../../")
from z3 import *
from Rigi.axioms import *
from Rigi.checker import *
from Rigi.table import *
from Rigi.tableIns import *
from Rigi.argvbuilder import *
##############################################################################################
BloodGroupingRh = Table('BloodGroupingRh')
BloodGroupingRh.addAttr('tst_bloodG_id', Table.Type.STRING)
BloodGroupingRh.addAttr('prescription_id', Table.Type.STRING)
BloodGroupingRh.addAttr('bloodGroup', Table.Type.STRING)
BloodGroupingRh.addAttr('rhesusD', Table.Type.STRING)
BloodGroupingRh.addAttr('appointment_id', Table.Type.STRING)
BloodGroupingRh.addAttr('date', Table.Type.INT)
BloodGroupingRh.addAttr('__ts', Table.Type.INT)
BloodGroupingRh.setPKey('tst_bloodG_id')
BloodGroupingRh.build()
LipidTest = Table('LipidTest')
LipidTest.addAttr('tst_li_id', Table.Type.STRING)
LipidTest.addAttr('prescription_id', Table.Type.STRING)
LipidTest.addAttr('cholestrolHDL', Table.Type.STRING)
LipidTest.addAttr('cholestrolLDL', Table.Type.STRING)
LipidTest.addAttr('triglycerides', Table.Type.STRING)
LipidTest.addAttr('totalCholestrolLDLHDLratio', Table.Type.STRING)
LipidTest.addAttr('appointment_id', Table.Type.STRING)
LipidTest.addAttr('date', Table.Type.INT)
LipidTest.addAttr('__ts', Table.Type.INT)
LipidTest.setPKey('tst_li_id')
LipidTest.build()
LiverFunctionTest = Table('LiverFunctionTest')
LiverFunctionTest.addAttr('tst_liver_id', Table.Type.STRING)
LiverFunctionTest.addAttr('prescription_id', Table.Type.STRING)
LiverFunctionTest.addAttr('totalProtein', Table.Type.REAL)
LiverFunctionTest.addAttr('albumin', Table.Type.REAL)
LiverFunctionTest.addAttr('globulin', Table.Type.REAL)
LiverFunctionTest.addAttr('totalBilirubin', Table.Type.REAL)
LiverFunctionTest.addAttr('directBilirubin', Table.Type.REAL)
LiverFunctionTest.addAttr('sgotast', Table.Type.REAL)
LiverFunctionTest.addAttr('sgptalt', Table.Type.REAL)
LiverFunctionTest.addAttr('alkalinePhospates', Table.Type.REAL)
LiverFunctionTest.addAttr('appointment_id', Table.Type.STRING)
LiverFunctionTest.addAttr('date', Table.Type.INT)
LiverFunctionTest.addAttr('__ts', Table.Type.INT)
LiverFunctionTest.setPKey('tst_liver_id')
LiverFunctionTest.build()
RenalFunctionTest = Table('RenalFunctionTest')
RenalFunctionTest.addAttr('tst_renal_id', Table.Type.STRING)
RenalFunctionTest.addAttr('prescription_id', Table.Type.STRING)
RenalFunctionTest.addAttr('creatinine', Table.Type.REAL)
RenalFunctionTest.addAttr('urea', Table.Type.REAL)
RenalFunctionTest.addAttr('totalBilirubin', Table.Type.REAL)
RenalFunctionTest.addAttr('directBilirubin', Table.Type.REAL)
RenalFunctionTest.addAttr('sgotast', Table.Type.REAL)
RenalFunctionTest.addAttr('sgptalt', Table.Type.REAL)
RenalFunctionTest.addAttr('alkalinePhospates', Table.Type.REAL)
RenalFunctionTest.addAttr('appointment_id', Table.Type.STRING)
RenalFunctionTest.addAttr('date', Table.Type.INT)
RenalFunctionTest.addAttr('__ts', Table.Type.INT)
RenalFunctionTest.setPKey('tst_renal_id')
RenalFunctionTest.build()
SeriumCreatinePhosphokinase = Table('SeriumCreatinePhosphokinase')
SeriumCreatinePhosphokinase.addAttr('tst_SCP_id', Table.Type.STRING)
SeriumCreatinePhosphokinase.addAttr('prescription_id', Table.Type.STRING)
SeriumCreatinePhosphokinase.addAttr('hiv12ELISA', Table.Type.STRING)
SeriumCreatinePhosphokinase.addAttr('appointment_id', Table.Type.STRING)
SeriumCreatinePhosphokinase.addAttr('date', Table.Type.INT)
SeriumCreatinePhosphokinase.addAttr('__ts', Table.Type.INT)
SeriumCreatinePhosphokinase.setPKey('tst_SCP_id')
SeriumCreatinePhosphokinase.build()
SeriumCreatinePhosphokinaseTotal = Table('SeriumCreatinePhosphokinaseTotal')
SeriumCreatinePhosphokinaseTotal.addAttr('tst_SCPT_id', Table.Type.STRING)
SeriumCreatinePhosphokinaseTotal.addAttr('test_id', Table.Type.STRING)
SeriumCreatinePhosphokinaseTotal.addAttr('prescription_id', Table.Type.STRING)
SeriumCreatinePhosphokinaseTotal.addAttr('cpkTotal', Table.Type.INT)
SeriumCreatinePhosphokinaseTotal.addAttr('appointment_id', Table.Type.STRING)
SeriumCreatinePhosphokinaseTotal.addAttr('date', Table.Type.INT)
SeriumCreatinePhosphokinaseTotal.addAttr('__ts', Table.Type.INT)
SeriumCreatinePhosphokinaseTotal.setPKey('tst_SCPT_id')
SeriumCreatinePhosphokinaseTotal.build()
UrineFullReport = Table('UrineFullReport')
UrineFullReport.addAttr('tst_ur_id', Table.Type.STRING)
UrineFullReport.addAttr('prescription_id', Table.Type.STRING)
UrineFullReport.addAttr('appearance', Table.Type.STRING)
UrineFullReport.addAttr('sgRefractometer', Table.Type.STRING)
UrineFullReport.addAttr('ph', Table.Type.REAL)
UrineFullReport.addAttr('protein', Table.Type.STRING)
UrineFullReport.addAttr('glucose', Table.Type.STRING)
UrineFullReport.addAttr('ketoneBodies', Table.Type.STRING)
UrineFullReport.addAttr('bilirubin', Table.Type.STRING)
UrineFullReport.addAttr('urobilirubin', Table.Type.STRING)
UrineFullReport.addAttr('contrifugedDepositsphaseContrastMicroscopy', Table.Type.STRING)
UrineFullReport.addAttr('pusCells', Table.Type.STRING)
UrineFullReport.addAttr('redCells', Table.Type.STRING)
UrineFullReport.addAttr('epithelialCells', Table.Type.STRING)
UrineFullReport.addAttr('casts', Table.Type.STRING)
UrineFullReport.addAttr('cristals', Table.Type.STRING)
UrineFullReport.addAttr('appointment_id', Table.Type.STRING)
UrineFullReport.addAttr('date', Table.Type.INT)
UrineFullReport.addAttr('__ts', Table.Type.INT)
UrineFullReport.setPKey('tst_ur_id')
UrineFullReport.build()
appointment = Table('appointment')
appointment.addAttr('appointment_id', Table.Type.STRING)
appointment.addAttr('date', Table.Type.INT)
appointment.addAttr('info', Table.Type.STRING)
appointment.addAttr('patient_id', Table.Type.STRING)
appointment.addAttr('bill_id', Table.Type.STRING)
appointment.addAttr('slmc_reg_no', Table.Type.STRING)
appointment.addAttr('cancelled', Table.Type.INT)
appointment.addAttr('__ts', Table.Type.INT)
appointment.setPKey('appointment_id')
appointment.build()
bill = Table('bill')
bill.addAttr('bill_id', Table.Type.STRING)
bill.addAttr('bill_date', Table.Type.INT)
bill.addAttr('doctor_fee', Table.Type.INT)
bill.addAttr('hospital_fee', Table.Type.INT)
bill.addAttr('pharmacy_fee', Table.Type.INT)
bill.addAttr('laboratory_fee', Table.Type.INT)
bill.addAttr('appointment_fee', Table.Type.INT)
bill.addAttr('vat', Table.Type.INT)
bill.addAttr('discount', Table.Type.INT)
bill.addAttr('total', Table.Type.INT)
bill.addAttr('payment_method', Table.Type.STRING)
bill.addAttr('consultant_id', Table.Type.STRING)
bill.addAttr('patient_id', Table.Type.STRING)
bill.addAttr('refund', Table.Type.INT)
bill.addAttr('__ts', Table.Type.INT)
bill.setPKey('bill_id')
bill.build()
completeBloodCount = Table('completeBloodCount')
completeBloodCount.addAttr('tst_CBC_id', Table.Type.STRING)
completeBloodCount.addAttr('prescription_id', Table.Type.STRING)
completeBloodCount.addAttr('totalWhiteCellCount', Table.Type.INT)
completeBloodCount.addAttr('differentialCount', Table.Type.INT)
completeBloodCount.addAttr('neutrophils', Table.Type.INT)
completeBloodCount.addAttr('lymphocytes', Table.Type.INT)
completeBloodCount.addAttr('monocytes', Table.Type.INT)
completeBloodCount.addAttr('eosonophils', Table.Type.INT)
completeBloodCount.addAttr('basophils', Table.Type.INT)
completeBloodCount.addAttr('haemoglobin', Table.Type.REAL)
completeBloodCount.addAttr('redBloodCells', Table.Type.REAL)
completeBloodCount.addAttr('meanCellVolume', Table.Type.REAL)
completeBloodCount.addAttr('haematocrit', Table.Type.REAL)
completeBloodCount.addAttr('meanCellHaemoglobin', Table.Type.REAL)
completeBloodCount.addAttr('mchConcentration', Table.Type.REAL)
completeBloodCount.addAttr('redCellsDistributionWidth', Table.Type.REAL)
completeBloodCount.addAttr('plateletCount', Table.Type.INT)
completeBloodCount.addAttr('appointment_id', Table.Type.STRING)
completeBloodCount.addAttr('date', Table.Type.INT)
completeBloodCount.addAttr('__ts', Table.Type.INT)
completeBloodCount.setPKey('tst_CBC_id')
completeBloodCount.build()
diagnose_history = Table('diagnose_history')
diagnose_history.addAttr('diagnostic_id', Table.Type.STRING)
diagnose_history.addAttr('patient_id', Table.Type.STRING)
diagnose_history.addAttr('diagnose', Table.Type.STRING)
diagnose_history.addAttr('date', Table.Type.INT)
diagnose_history.addAttr('consultant_id', Table.Type.STRING)
diagnose_history.addAttr('prescription_id', Table.Type.STRING)
diagnose_history.addAttr('__ts', Table.Type.INT)
diagnose_history.setPKey('diagnostic_id')
diagnose_history.build()
doctor = Table('doctor')
doctor.addAttr('slmc_reg_no', Table.Type.STRING)
doctor.addAttr('user_id', Table.Type.STRING)
doctor.addAttr('education', Table.Type.STRING)
doctor.addAttr('training', Table.Type.STRING)
doctor.addAttr('experienced_areas', Table.Type.STRING)
doctor.addAttr('experience', Table.Type.STRING)
doctor.addAttr('achievements', Table.Type.STRING)
doctor.addAttr('channelling_fee', Table.Type.INT)
doctor.addAttr('__ts', Table.Type.INT)
doctor.setPKey('slmc_reg_no')
doctor.build()
doctor_availability = Table('doctor_availability')
doctor_availability.addAttr('time_slot_id', Table.Type.STRING)
doctor_availability.addAttr('slmc_reg_no', Table.Type.STRING)
doctor_availability.addAttr('day', Table.Type.INT)
doctor_availability.addAttr('time_slot', Table.Type.STRING)
doctor_availability.addAttr('current_week_appointments', Table.Type.INT)
doctor_availability.addAttr('next_week_appointments', Table.Type.INT)
doctor_availability.addAttr('__ts', Table.Type.INT)
doctor_availability.setPKey('time_slot_id')
doctor_availability.setPKey('time_slot','slmc_reg_no','day')
doctor_availability.build()
drug = Table('drug')
drug.addAttr('drug_id', Table.Type.STRING)
drug.addAttr('drug_name', Table.Type.STRING)
drug.addAttr('dangerous_drug', Table.Type.INT)
drug.addAttr('__ts', Table.Type.INT)
drug.setPKey('drug_id')
drug.build()
drug_brand_names = Table('drug_brand_names')
drug_brand_names.addAttr('brand_id', Table.Type.STRING)
drug_brand_names.addAttr('brand_name', Table.Type.STRING)
drug_brand_names.addAttr('generic_name', Table.Type.STRING)
drug_brand_names.addAttr('drug_type', Table.Type.STRING)
drug_brand_names.addAttr('drug_unit', Table.Type.STRING)
drug_brand_names.addAttr('unit_price', Table.Type.INT)
drug_brand_names.addAttr('__ts', Table.Type.INT)
drug_brand_names.setPKey('brand_id')
drug_brand_names.build()
lab_appointment = Table('lab_appointment')
lab_appointment.addAttr('lab_appointment_id', Table.Type.STRING)
lab_appointment.addAttr('test_id', Table.Type.STRING)
lab_appointment.addAttr('date', Table.Type.INT)
lab_appointment.addAttr('info', Table.Type.STRING)
lab_appointment.addAttr('patient_id', Table.Type.STRING)
lab_appointment.addAttr('bill_id', Table.Type.STRING)
lab_appointment.addAttr('lab_assistant_id', Table.Type.STRING)
lab_appointment.addAttr('cancelled', Table.Type.INT)
lab_appointment.addAttr('doctor_id', Table.Type.STRING)
lab_appointment.addAttr('__ts', Table.Type.INT)
lab_appointment.setPKey('lab_appointment_id')
lab_appointment.build()
lab_appointment_timetable = Table('lab_appointment_timetable')
lab_appointment_timetable.addAttr('app_id', Table.Type.STRING)
lab_appointment_timetable.addAttr('app_test_id', Table.Type.STRING)
lab_appointment_timetable.addAttr('app_day', Table.Type.INT)
lab_appointment_timetable.addAttr('time_slot', Table.Type.STRING)
lab_appointment_timetable.addAttr('current_week_appointments', Table.Type.INT)
lab_appointment_timetable.addAttr('next_week_appointments', Table.Type.INT)
lab_appointment_timetable.addAttr('__ts', Table.Type.INT)
lab_appointment_timetable.setPKey('app_id')
lab_appointment_timetable.build()
lab_assistant = Table('lab_assistant')
lab_assistant.addAttr('lab_assistant_id', Table.Type.STRING)
lab_assistant.addAttr('user_id', Table.Type.STRING)
lab_assistant.addAttr('education', Table.Type.STRING)
lab_assistant.addAttr('training', Table.Type.STRING)
lab_assistant.addAttr('experience', Table.Type.STRING)
lab_assistant.addAttr('achievements', Table.Type.STRING)
lab_assistant.addAttr('__ts', Table.Type.INT)
lab_assistant.setPKey('lab_assistant_id')
lab_assistant.build()
lab_test = Table('lab_test')
lab_test.addAttr('test_id', Table.Type.STRING)
lab_test.addAttr('test_name', Table.Type.STRING)
lab_test.addAttr('test_description', Table.Type.STRING)
lab_test.addAttr('test_fee', Table.Type.INT)
lab_test.addAttr('__ts', Table.Type.INT)
lab_test.setPKey('test_id')
lab_test.build()
medical_history = Table('medical_history')
medical_history.addAttr('history_id', Table.Type.STRING)
medical_history.addAttr('patient_id', Table.Type.STRING)
medical_history.addAttr('doctor_id', Table.Type.STRING)
medical_history.addAttr('date', Table.Type.INT)
medical_history.addAttr('history', Table.Type.STRING)
medical_history.addAttr('__ts', Table.Type.INT)
medical_history.setPKey('history_id')
medical_history.build()
patient = Table('patient')
patient.addAttr('patient_id', Table.Type.STRING)
patient.addAttr('person_id', Table.Type.STRING)
patient.addAttr('drug_allergies_and_reactions', Table.Type.STRING)
patient.addAttr('__ts', Table.Type.INT)
patient.setPKey('patient_id')
patient.build()
patient_message_receive = Table('patient_message_receive')
patient_message_receive.addAttr('message_id', Table.Type.STRING)
patient_message_receive.addAttr('receiver', Table.Type.STRING)
patient_message_receive.addAttr('sender', Table.Type.STRING)
patient_message_receive.addAttr('subject', Table.Type.STRING)
patient_message_receive.addAttr('message', Table.Type.STRING)
patient_message_receive.addAttr('date', Table.Type.INT)
patient_message_receive.addAttr('__ts', Table.Type.INT)
patient_message_receive.setPKey('message_id')
patient_message_receive.build()
patient_message_send = Table('patient_message_send')
patient_message_send.addAttr('message_id', Table.Type.STRING)
patient_message_send.addAttr('receiver', Table.Type.STRING)
patient_message_send.addAttr('sender', Table.Type.STRING)
patient_message_send.addAttr('email', Table.Type.STRING)
patient_message_send.addAttr('message', Table.Type.STRING)
patient_message_send.addAttr('date', Table.Type.INT)
patient_message_send.addAttr('__ts', Table.Type.INT)
patient_message_send.setPKey('message_id')
patient_message_send.build()
patient_useraccount = Table('patient_useraccount')
patient_useraccount.addAttr('patient_id', Table.Type.STRING)
patient_useraccount.addAttr('person_id', Table.Type.STRING)
patient_useraccount.addAttr('username', Table.Type.STRING)
patient_useraccount.addAttr('password', Table.Type.STRING)
patient_useraccount.addAttr('__ts', Table.Type.INT)
patient_useraccount.setPKey('patient_id')
patient_useraccount.build()
person = Table('person')
person.addAttr('person_id', Table.Type.STRING)
person.addAttr('user_id', Table.Type.STRING)
person.addAttr('nic', Table.Type.STRING)
person.addAttr('gender', Table.Type.STRING)
person.addAttr('date_of_birth', Table.Type.INT)
person.addAttr('address', Table.Type.STRING)
person.addAttr('mobile', Table.Type.STRING)
person.addAttr('first_name', Table.Type.STRING)
person.addAttr('last_name', Table.Type.STRING)
person.addAttr('email', Table.Type.STRING)
person.addAttr('nationality', Table.Type.STRING)
person.addAttr('religion', Table.Type.STRING)
person.addAttr('__ts', Table.Type.INT)
person.setPKey('person_id')
person.build()
pharmacist = Table('pharmacist')
pharmacist.addAttr('pharmacist_id', Table.Type.STRING)
pharmacist.addAttr('user_id', Table.Type.STRING)
pharmacist.addAttr('education', Table.Type.STRING)
pharmacist.addAttr('training', Table.Type.STRING)
pharmacist.addAttr('experience', Table.Type.STRING)
pharmacist.addAttr('achievements', Table.Type.STRING)
pharmacist.addAttr('__ts', Table.Type.INT)
pharmacist.setPKey('pharmacist_id')
pharmacist.build()
pharmacy_history = Table('pharmacy_history')
pharmacy_history.addAttr('history_id', Table.Type.STRING)
pharmacy_history.addAttr('prescription_id', Table.Type.STRING)
pharmacy_history.addAttr('bill_id', Table.Type.STRING)
pharmacy_history.addAttr('date', Table.Type.INT)
pharmacy_history.addAttr('no_of_drugs', Table.Type.INT)
pharmacy_history.addAttr('excluded', Table.Type.STRING)
pharmacy_history.addAttr('__ts', Table.Type.INT)
pharmacy_history.setPKey('history_id')
pharmacy_history.build()
pharmacy_stock = Table('pharmacy_stock')
pharmacy_stock.addAttr('stock_id', Table.Type.STRING)
pharmacy_stock.addAttr('drug_id', Table.Type.STRING)
pharmacy_stock.addAttr('brand_id', Table.Type.STRING)
pharmacy_stock.addAttr('stock', Table.Type.INT)
pharmacy_stock.addAttr('remaining_quantity', Table.Type.INT)
pharmacy_stock.addAttr('manufac_date', Table.Type.INT)
pharmacy_stock.addAttr('exp_date', Table.Type.INT)
pharmacy_stock.addAttr('supplier_id', Table.Type.STRING)
pharmacy_stock.addAttr('date', Table.Type.INT)
pharmacy_stock.addAttr('__ts', Table.Type.INT)
pharmacy_stock.setPKey('stock_id')
pharmacy_stock.build()
prescription = Table('prescription')
prescription.addAttr('prescription_id', Table.Type.STRING)
prescription.addAttr('patient_id', Table.Type.STRING)
prescription.addAttr('consultant_id', Table.Type.STRING)
prescription.addAttr('date', Table.Type.INT)
prescription.addAttr('drugs_dose', Table.Type.STRING)
prescription.addAttr('tests', Table.Type.STRING)
prescription.addAttr('__ts', Table.Type.INT)
prescription.setPKey('prescription_id')
prescription.build()
refund = Table('refund')
refund.addAttr('refund_id', Table.Type.STRING)
refund.addAttr('bill_id', Table.Type.STRING)
refund.addAttr('payment_type', Table.Type.STRING)
refund.addAttr('reason', Table.Type.STRING)
refund.addAttr('amount', Table.Type.INT)
refund.addAttr('date', Table.Type.INT)
refund.addAttr('__ts', Table.Type.INT)
refund.setPKey('refund_id')
refund.build()
signup = Table('signup')
signup.addAttr('id', Table.Type.INT)
signup.addAttr('fname', Table.Type.STRING)
signup.addAttr('lname', Table.Type.STRING)
signup.addAttr('nic', Table.Type.STRING)
signup.addAttr('address', Table.Type.STRING)
signup.addAttr('contact', Table.Type.INT)
signup.addAttr('email', Table.Type.STRING)
signup.addAttr('gender', Table.Type.STRING)
signup.addAttr('dob', Table.Type.STRING)
signup.addAttr('religion', Table.Type.STRING)
signup.addAttr('nationality', Table.Type.STRING)
signup.addAttr('maritalstatus', Table.Type.STRING)
signup.addAttr('medicalhistory', Table.Type.STRING)
signup.addAttr('username', Table.Type.STRING)
signup.addAttr('password', Table.Type.STRING)
signup.addAttr('__ts', Table.Type.INT)
signup.setPKey('id')
signup.build()
suppliers = Table('suppliers')
suppliers.addAttr('supplier_id', Table.Type.STRING)
suppliers.addAttr('supplier_name', Table.Type.STRING)
suppliers.addAttr('__ts', Table.Type.INT)
suppliers.setPKey('supplier_id')
suppliers.build()
sys_user = Table('sys_user')
sys_user.addAttr('person_id', Table.Type.STRING)
sys_user.addAttr('user_id', Table.Type.STRING)
sys_user.addAttr('user_name', Table.Type.STRING)
sys_user.addAttr('user_type', Table.Type.STRING)
sys_user.addAttr('other_info', Table.Type.STRING)
sys_user.addAttr('password', Table.Type.STRING)
sys_user.addAttr('online', Table.Type.INT)
sys_user.addAttr('login', Table.Type.INT)
sys_user.addAttr('logout', Table.Type.INT)
sys_user.addAttr('profile_pic', Table.Type.STRING)
sys_user.addAttr('suspend', Table.Type.INT)
sys_user.addAttr('__ts', Table.Type.INT)
sys_user.setPKey('user_id')
sys_user.build()
tempappointment = Table('tempappointment')
tempappointment.addAttr('id', Table.Type.INT)
tempappointment.addAttr('doctor_id', Table.Type.STRING)
tempappointment.addAttr('time', Table.Type.INT)
tempappointment.addAttr('date', Table.Type.INT)
tempappointment.addAttr('patient_id', Table.Type.STRING)
tempappointment.addAttr('__ts', Table.Type.INT)
tempappointment.setPKey('id')
tempappointment.build()
tmp_bill = Table('tmp_bill')
tmp_bill.addAttr('tmp_bill_id', Table.Type.STRING)
tmp_bill.addAttr('doctor_fee', Table.Type.INT)
tmp_bill.addAttr('hospital_fee', Table.Type.INT)
tmp_bill.addAttr('pharmacy_fee', Table.Type.INT)
tmp_bill.addAttr('laboratory_fee', Table.Type.INT)
tmp_bill.addAttr('appointment_fee', Table.Type.INT)
tmp_bill.addAttr('vat', Table.Type.INT)
tmp_bill.addAttr('discount', Table.Type.INT)
tmp_bill.addAttr('consultant_id', Table.Type.STRING)
tmp_bill.addAttr('patient_id', Table.Type.STRING)
tmp_bill.addAttr('__ts', Table.Type.INT)
tmp_bill.setPKey('tmp_bill_id')
tmp_bill.setPKey('patient_id')
tmp_bill.build()
user_message = Table('user_message')
user_message.addAttr('message_id', Table.Type.STRING)
user_message.addAttr('reciver', Table.Type.STRING)
user_message.addAttr('sender', Table.Type.STRING)
user_message.addAttr('subject', Table.Type.STRING)
user_message.addAttr('message', Table.Type.STRING)
user_message.addAttr('date', Table.Type.INT)
user_message.addAttr('rd', Table.Type.INT)
user_message.addAttr('__ts', Table.Type.INT)
user_message.setPKey('message_id')
user_message.build()
website_messages = Table('website_messages')
website_messages.addAttr('id', Table.Type.INT)
website_messages.addAttr('first_name', Table.Type.STRING)
website_messages.addAttr('last_name', Table.Type.STRING)
website_messages.addAttr('email', Table.Type.STRING)
website_messages.addAttr('message', Table.Type.STRING)
website_messages.addAttr('__ts', Table.Type.INT)
website_messages.setPKey('id')
website_messages.build()
def GenState():
TABLE_BloodGroupingRh = TableInstance(BloodGroupingRh)
TABLE_LipidTest = TableInstance(LipidTest)
TABLE_LiverFunctionTest = TableInstance(LiverFunctionTest)
TABLE_RenalFunctionTest = TableInstance(RenalFunctionTest)
TABLE_SeriumCreatinePhosphokinase = TableInstance(SeriumCreatinePhosphokinase)
TABLE_SeriumCreatinePhosphokinaseTotal = TableInstance(SeriumCreatinePhosphokinaseTotal)
TABLE_UrineFullReport = TableInstance(UrineFullReport)
TABLE_appointment = TableInstance(appointment)
TABLE_bill = TableInstance(bill)
TABLE_completeBloodCount = TableInstance(completeBloodCount)
TABLE_diagnose_history = TableInstance(diagnose_history)
TABLE_doctor = TableInstance(doctor)
TABLE_doctor_availability = TableInstance(doctor_availability)
TABLE_drug = TableInstance(drug)
TABLE_drug_brand_names = TableInstance(drug_brand_names)
TABLE_lab_appointment = TableInstance(lab_appointment)
TABLE_lab_appointment_timetable = TableInstance(lab_appointment_timetable)
TABLE_lab_assistant = TableInstance(lab_assistant)
TABLE_lab_test = TableInstance(lab_test)
TABLE_medical_history = TableInstance(medical_history)
TABLE_patient = TableInstance(patient)
TABLE_patient_message_receive = TableInstance(patient_message_receive)
TABLE_patient_message_send = TableInstance(patient_message_send)
TABLE_patient_useraccount = TableInstance(patient_useraccount)
TABLE_person = TableInstance(person)
TABLE_pharmacist = TableInstance(pharmacist)
TABLE_pharmacy_history = TableInstance(pharmacy_history)
TABLE_pharmacy_stock = TableInstance(pharmacy_stock)
TABLE_prescription = TableInstance(prescription)
TABLE_refund = TableInstance(refund)
TABLE_signup = TableInstance(signup)
TABLE_suppliers = TableInstance(suppliers)
TABLE_sys_user = TableInstance(sys_user)
TABLE_tempappointment = TableInstance(tempappointment)
TABLE_tmp_bill = TableInstance(tmp_bill)
TABLE_user_message = TableInstance(user_message)
TABLE_website_messages = TableInstance(website_messages)
return {'TABLE_BloodGroupingRh': TABLE_BloodGroupingRh,'TABLE_LipidTest': TABLE_LipidTest,'TABLE_LiverFunctionTest': TABLE_LiverFunctionTest,'TABLE_RenalFunctionTest': TABLE_RenalFunctionTest,'TABLE_SeriumCreatinePhosphokinase': TABLE_SeriumCreatinePhosphokinase,'TABLE_SeriumCreatinePhosphokinaseTotal': TABLE_SeriumCreatinePhosphokinaseTotal,'TABLE_UrineFullReport': TABLE_UrineFullReport,'TABLE_appointment': TABLE_appointment,'TABLE_bill': TABLE_bill,'TABLE_completeBloodCount': TABLE_completeBloodCount,'TABLE_diagnose_history': TABLE_diagnose_history,'TABLE_doctor': TABLE_doctor,'TABLE_doctor_availability': TABLE_doctor_availability,'TABLE_drug': TABLE_drug,'TABLE_drug_brand_names': TABLE_drug_brand_names,'TABLE_lab_appointment': TABLE_lab_appointment,'TABLE_lab_appointment_timetable': TABLE_lab_appointment_timetable,'TABLE_lab_assistant': TABLE_lab_assistant,'TABLE_lab_test': TABLE_lab_test,'TABLE_medical_history': TABLE_medical_history,'TABLE_patient': TABLE_patient,'TABLE_patient_message_receive': TABLE_patient_message_receive,'TABLE_patient_message_send': TABLE_patient_message_send,'TABLE_patient_useraccount': TABLE_patient_useraccount,'TABLE_person': TABLE_person,'TABLE_pharmacist': TABLE_pharmacist,'TABLE_pharmacy_history': TABLE_pharmacy_history,'TABLE_pharmacy_stock': TABLE_pharmacy_stock,'TABLE_prescription': TABLE_prescription,'TABLE_refund': TABLE_refund,'TABLE_signup': TABLE_signup,'TABLE_suppliers': TABLE_suppliers,'TABLE_sys_user': TABLE_sys_user,'TABLE_tempappointment': TABLE_tempappointment,'TABLE_tmp_bill': TABLE_tmp_bill,'TABLE_user_message': TABLE_user_message,'TABLE_website_messages': TABLE_website_messages}
def GenArgv():
builder = ArgvBuilder()
builder.NewOp('Op_Doctor_doctorTimeTableAddSlot_run_8412')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTimeSlotId', ArgvBuilder.Type.STRING)
builder.AddArgv('slmcReg', ArgvBuilder.Type.STRING)
builder.AddArgv('day', ArgvBuilder.Type.INT)
builder.AddArgv('timeSlot', ArgvBuilder.Type.STRING)
builder.AddArgv('currentWeekAppointments', ArgvBuilder.Type.INT)
builder.AddArgv('nextWeekAppointments', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_addNewDrug2_run_8413')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newDrugId', ArgvBuilder.Type.STRING)
builder.AddArgv('drugName', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Cashier_bill_run_8414')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newBillId', ArgvBuilder.Type.STRING)
builder.AddArgv('date', ArgvBuilder.Type.INT)
builder.AddArgv('doctorFee', ArgvBuilder.Type.INT)
builder.AddArgv('hospitalFee', ArgvBuilder.Type.INT)
builder.AddArgv('pharmacyFee', ArgvBuilder.Type.INT)
builder.AddArgv('laboratoryFee', ArgvBuilder.Type.INT)
builder.AddArgv('appointmentFee', ArgvBuilder.Type.INT)
builder.AddArgv('vat', ArgvBuilder.Type.INT)
builder.AddArgv('discount', ArgvBuilder.Type.INT)
builder.AddArgv('total', ArgvBuilder.Type.INT)
builder.AddArgv('paymentMethod', ArgvBuilder.Type.STRING)
builder.AddArgv('consultantId', ArgvBuilder.Type.STRING)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('refund', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_updateStock_run_8415')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newStockId', ArgvBuilder.Type.STRING)
builder.AddArgv('drugId', ArgvBuilder.Type.STRING)
builder.AddArgv('brandId', ArgvBuilder.Type.STRING)
builder.AddArgv('stock', ArgvBuilder.Type.INT)
builder.AddArgv('manuDate', ArgvBuilder.Type.INT)
builder.AddArgv('expDate', ArgvBuilder.Type.INT)
builder.AddArgv('suppId', ArgvBuilder.Type.STRING)
builder.AddArgv('date', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_reduceStock_run_8416')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('pharmacy_stock_stock_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_updateLabAssistantInfo_run_8417')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('lab_assistant_lab_assistant_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_updateAccountInfo_run_8418')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_diagnose_run_8419')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newHistoryId', ArgvBuilder.Type.STRING)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('doctorId', ArgvBuilder.Type.STRING)
builder.AddArgv('date', ArgvBuilder.Type.INT)
builder.AddArgv('history', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_updateAccountInfo_run_8420')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('pharmacistId', ArgvBuilder.Type.STRING)
builder.AddArgv('pharmacist_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_UrineFullReport_run_8421')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('appearance', ArgvBuilder.Type.STRING)
builder.AddArgv('sgRefractometer', ArgvBuilder.Type.STRING)
builder.AddArgv('ph', ArgvBuilder.Type.REAL)
builder.AddArgv('protein', ArgvBuilder.Type.STRING)
builder.AddArgv('glucose', ArgvBuilder.Type.STRING)
builder.AddArgv('ketoneBodies', ArgvBuilder.Type.STRING)
builder.AddArgv('bilirubin', ArgvBuilder.Type.STRING)
builder.AddArgv('urobilirubin', ArgvBuilder.Type.STRING)
builder.AddArgv('contrifugedDepositsphaseContrastMicroscopy', ArgvBuilder.Type.STRING)
builder.AddArgv('pusCells', ArgvBuilder.Type.STRING)
builder.AddArgv('redCells', ArgvBuilder.Type.STRING)
builder.AddArgv('epithelialCells', ArgvBuilder.Type.STRING)
builder.AddArgv('casts', ArgvBuilder.Type.STRING)
builder.AddArgv('cristals', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_cancelAppointment_run_8422')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('appointmentId', ArgvBuilder.Type.STRING)
builder.AddArgv('appointment_appointment_id', ArgvBuilder.Type.STRING)
builder.AddArgv('appointment_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('newRefundId', ArgvBuilder.Type.STRING)
builder.AddArgv('bill_total', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.AddArgv('bill_bill_id', ArgvBuilder.Type.STRING)
builder.NewOp('Op_Cashier_makeRefund_run_8423')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Cashier_refund_run_8424')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newRefundId', ArgvBuilder.Type.STRING)
builder.AddArgv('billId', ArgvBuilder.Type.STRING)
builder.AddArgv('paymentType', ArgvBuilder.Type.STRING)
builder.AddArgv('reason', ArgvBuilder.Type.STRING)
builder.AddArgv('amount', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_allergies_run_8425')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('patient_drug_allergies_and_reactions', ArgvBuilder.Type.STRING)
builder.AddArgv('allergies', ArgvBuilder.Type.STRING)
builder.AddArgv('patient_patient_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_createNewUser_run_8426')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newPersonId', ArgvBuilder.Type.STRING)
builder.AddArgv('firstName', ArgvBuilder.Type.STRING)
builder.AddArgv('lastName', ArgvBuilder.Type.STRING)
builder.AddArgv('nic', ArgvBuilder.Type.STRING)
builder.AddArgv('mobile', ArgvBuilder.Type.STRING)
builder.AddArgv('newUserId', ArgvBuilder.Type.STRING)
builder.AddArgv('userName', ArgvBuilder.Type.STRING)
builder.AddArgv('userType', ArgvBuilder.Type.STRING)
builder.AddArgv('newLabAssistantId', ArgvBuilder.Type.STRING)
builder.AddArgv('newPharmacistId', ArgvBuilder.Type.STRING)
builder.AddArgv('newSlmcReg', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_bill_run_8427')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('tmp_bill_tmp_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_updatePatientInfo_run_8428')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('info', ArgvBuilder.Type.STRING)
builder.AddArgv('patient_patient_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_updateDoctorInfo_run_8429')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_slmc_reg_no', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_updateProfileInfo_run_8430')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('userId', ArgvBuilder.Type.STRING)
builder.AddArgv('address', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('person_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('cpkTotal', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Cashier_updateAccountInfo_run_8432')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_suspendUser_run_8433')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_updateProfileInfo_run_8434')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('person_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_updateProfileInfo_run_8435')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('address', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('person_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_bill_run_8436')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('tmp_bill_tmp_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_BloodGroupingTest_run_8437')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('bloodGroup', ArgvBuilder.Type.STRING)
builder.AddArgv('rh', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_prescribe_run_8438')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newPrescId', ArgvBuilder.Type.STRING)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('consultantId', ArgvBuilder.Type.STRING)
builder.AddArgv('date', ArgvBuilder.Type.INT)
builder.AddArgv('drugDose', ArgvBuilder.Type.STRING)
builder.AddArgv('tests', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_setPatientInfo_run_8439')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newPersonId', ArgvBuilder.Type.STRING)
builder.AddArgv('newPatientId', ArgvBuilder.Type.STRING)
builder.AddArgv('nic', ArgvBuilder.Type.STRING)
builder.AddArgv('gender', ArgvBuilder.Type.STRING)
builder.AddArgv('birth', ArgvBuilder.Type.INT)
builder.AddArgv('address', ArgvBuilder.Type.STRING)
builder.AddArgv('mobile', ArgvBuilder.Type.STRING)
builder.AddArgv('firstName', ArgvBuilder.Type.STRING)
builder.AddArgv('lastName', ArgvBuilder.Type.STRING)
builder.AddArgv('email', ArgvBuilder.Type.STRING)
builder.AddArgv('nationality', ArgvBuilder.Type.STRING)
builder.AddArgv('religion', ArgvBuilder.Type.STRING)
builder.AddArgv('patientInfo', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_RenalFunctionTest_run_8440')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('creatinine', ArgvBuilder.Type.REAL)
builder.AddArgv('urea', ArgvBuilder.Type.REAL)
builder.AddArgv('totalBilirubin', ArgvBuilder.Type.REAL)
builder.AddArgv('directBilirubin', ArgvBuilder.Type.REAL)
builder.AddArgv('sgotast', ArgvBuilder.Type.REAL)
builder.AddArgv('sgptalt', ArgvBuilder.Type.REAL)
builder.AddArgv('alkalinePhospates', ArgvBuilder.Type.REAL)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_updateProfileInfo_run_8441')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('person_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_resetPassword_run_8442')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_refund_run_8443')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newRefundId', ArgvBuilder.Type.STRING)
builder.AddArgv('billId', ArgvBuilder.Type.STRING)
builder.AddArgv('paymentType', ArgvBuilder.Type.STRING)
builder.AddArgv('reason', ArgvBuilder.Type.STRING)
builder.AddArgv('amount', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_unsuspendUser_run_8444')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_makeLabAppointment_run_8445')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newAppId', ArgvBuilder.Type.STRING)
builder.AddArgv('testId', ArgvBuilder.Type.STRING)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('doctorId', ArgvBuilder.Type.STRING)
builder.AddArgv('currentDate', ArgvBuilder.Type.INT)
builder.AddArgv('day', ArgvBuilder.Type.INT)
builder.AddArgv('lab_test_test_fee', ArgvBuilder.Type.INT)
builder.AddArgv('tmp_bill_tmp_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('newTmpBillId', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_LipidTest_run_8446')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('cholestrolHDL', ArgvBuilder.Type.STRING)
builder.AddArgv('cholestrolLDL', ArgvBuilder.Type.STRING)
builder.AddArgv('triglycerides', ArgvBuilder.Type.STRING)
builder.AddArgv('totalCholestrolLDLHDLratio', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_updateAccountInfo_run_8447')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_completeBloodCount_run_8448')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('totalWhiteCellCount', ArgvBuilder.Type.INT)
builder.AddArgv('differentialCount', ArgvBuilder.Type.INT)
builder.AddArgv('neutrophils', ArgvBuilder.Type.INT)
builder.AddArgv('lymphocytes', ArgvBuilder.Type.INT)
builder.AddArgv('monocytes', ArgvBuilder.Type.INT)
builder.AddArgv('eosonophils', ArgvBuilder.Type.INT)
builder.AddArgv('basophils', ArgvBuilder.Type.INT)
builder.AddArgv('haemoglobin', ArgvBuilder.Type.REAL)
builder.AddArgv('redBloodCells', ArgvBuilder.Type.REAL)
builder.AddArgv('meanCellVolume', ArgvBuilder.Type.REAL)
builder.AddArgv('haematocrit', ArgvBuilder.Type.REAL)
builder.AddArgv('meanCellHaemoglobin', ArgvBuilder.Type.REAL)
builder.AddArgv('mchConcentration', ArgvBuilder.Type.REAL)
builder.AddArgv('redCellsDistributionWidth', ArgvBuilder.Type.REAL)
builder.AddArgv('plateletCount', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_makeAppointment_run_8449')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newAppId', ArgvBuilder.Type.STRING)
builder.AddArgv('patientId', ArgvBuilder.Type.STRING)
builder.AddArgv('doctorId', ArgvBuilder.Type.STRING)
builder.AddArgv('currentDate', ArgvBuilder.Type.INT)
builder.AddArgv('day', ArgvBuilder.Type.INT)
builder.AddArgv('timeSlot', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_availability_time_slot', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_availability_slmc_reg_no', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_availability_day', ArgvBuilder.Type.INT)
builder.AddArgv('tmp_bill_tmp_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('newTmpBillId', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_addNewSupplier_run_8450')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newSupplierId', ArgvBuilder.Type.STRING)
builder.AddArgv('name', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Pharmacist_updatePharmacistInfo_run_8451')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('pharmacist_pharmacist_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_updateProfileInfo_run_8452')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('person_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Cashier_removeFromTempBill_run_8453')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_liverFunctionTest_run_8454')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('totalBilirubin', ArgvBuilder.Type.REAL)
builder.AddArgv('albumin', ArgvBuilder.Type.REAL)
builder.AddArgv('globulin', ArgvBuilder.Type.REAL)
builder.AddArgv('directBilirubin', ArgvBuilder.Type.REAL)
builder.AddArgv('sgotast', ArgvBuilder.Type.REAL)
builder.AddArgv('sgptalt', ArgvBuilder.Type.REAL)
builder.AddArgv('alkalinePhospates', ArgvBuilder.Type.REAL)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Receptionist_cancelLabAppointment_run_8455')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('labAppointmentId', ArgvBuilder.Type.STRING)
builder.AddArgv('lab_appointment_lab_appointment_id', ArgvBuilder.Type.STRING)
builder.AddArgv('lab_appointment_bill_id', ArgvBuilder.Type.STRING)
builder.AddArgv('newRefundId', ArgvBuilder.Type.STRING)
builder.AddArgv('bill_total', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.AddArgv('bill_bill_id', ArgvBuilder.Type.STRING)
builder.NewOp('Op_Pharmacist_addNewBrand_run_8456')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newBrandId', ArgvBuilder.Type.STRING)
builder.AddArgv('brandName', ArgvBuilder.Type.STRING)
builder.AddArgv('genericName', ArgvBuilder.Type.STRING)
builder.AddArgv('drugType', ArgvBuilder.Type.STRING)
builder.AddArgv('drugUnit', ArgvBuilder.Type.STRING)
builder.AddArgv('unitPrice', ArgvBuilder.Type.INT)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('newTstId', ArgvBuilder.Type.STRING)
builder.AddArgv('appId', ArgvBuilder.Type.STRING)
builder.AddArgv('hiv12ELISA', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Doctor_removeDoctorTime_run_8458')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Admin_updateAccountInfo_run_8459')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_LabAssistant_updateAccountInfo_run_8460')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('doctor_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_user_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
builder.NewOp('Op_Cashier_updateProfileInfo_run_8461')
builder.AddArgv('__ts', ArgvBuilder.Type.INT)
builder.AddArgv('id', ArgvBuilder.Type.STRING)
builder.AddArgv('sys_user_person_id', ArgvBuilder.Type.STRING)
builder.AddArgv('now', ArgvBuilder.Type.INT)
return builder.Build()
class Op_Doctor_doctorTimeTableAddSlot_run_8412():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Doctor_doctorTimeTableAddSlot_run_8412', 'newTimeSlotId'), AxiomUniqueArguments('Op_Doctor_doctorTimeTableAddSlot_run_8412', ['slmcReg', 'timeSlot', 'day']))
def cond0(self, state, argv):
__ts = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['__ts']
newTimeSlotId = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']
slmcReg = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['slmcReg']
day = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['day']
timeSlot = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['timeSlot']
currentWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['currentWeekAppointments']
nextWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['nextWeekAppointments']
return (state['TABLE_doctor_availability'].notNil({'time_slot_id': argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['now']
__ts = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['__ts']
newTimeSlotId = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']
slmcReg = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['slmcReg']
day = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['day']
timeSlot = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['timeSlot']
currentWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['currentWeekAppointments']
nextWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['nextWeekAppointments']
doctor_availability_time_slot_id = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']
doctor_availability_slmc_reg_no = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['slmcReg']
doctor_availability_day = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['day']
doctor_availability_time_slot = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['timeSlot']
doctor_availability_current_week_appointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['currentWeekAppointments']
doctor_availability_next_week_appointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['nextWeekAppointments']
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot_id': doctor_availability_time_slot_id}, '__ts')
return And((doctor_availability__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['now']
__ts = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['__ts']
newTimeSlotId = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']
slmcReg = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['slmcReg']
day = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['day']
timeSlot = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['timeSlot']
currentWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['currentWeekAppointments']
nextWeekAppointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['nextWeekAppointments']
doctor_availability_time_slot_id = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['newTimeSlotId']
doctor_availability_slmc_reg_no = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['slmcReg']
doctor_availability_day = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['day']
doctor_availability_time_slot = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['timeSlot']
doctor_availability_current_week_appointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['currentWeekAppointments']
doctor_availability_next_week_appointments = argv['Op_Doctor_doctorTimeTableAddSlot_run_8412']['nextWeekAppointments']
state['TABLE_doctor_availability'].add({'time_slot_id': doctor_availability_time_slot_id}, {'slmc_reg_no': doctor_availability_slmc_reg_no,'day': doctor_availability_day,'time_slot': doctor_availability_time_slot,'current_week_appointments': doctor_availability_current_week_appointments,'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
return state
class Op_Pharmacist_addNewDrug2_run_8413():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Pharmacist_addNewDrug2_run_8413', 'newDrugId'))
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_addNewDrug2_run_8413']['__ts']
newDrugId = argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']
drugName = argv['Op_Pharmacist_addNewDrug2_run_8413']['drugName']
return (state['TABLE_drug'].notNil({'drug_id': argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_addNewDrug2_run_8413']['now']
__ts = argv['Op_Pharmacist_addNewDrug2_run_8413']['__ts']
newDrugId = argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']
drugName = argv['Op_Pharmacist_addNewDrug2_run_8413']['drugName']
drug_drug_id = argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']
drug_drug_name = argv['Op_Pharmacist_addNewDrug2_run_8413']['drugName']
drug_dangerous_drug = 0
drug__ts = state['TABLE_drug'].get({'drug_id': drug_drug_id}, '__ts')
return And((drug__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_addNewDrug2_run_8413']['now']
__ts = argv['Op_Pharmacist_addNewDrug2_run_8413']['__ts']
newDrugId = argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']
drugName = argv['Op_Pharmacist_addNewDrug2_run_8413']['drugName']
drug_drug_id = argv['Op_Pharmacist_addNewDrug2_run_8413']['newDrugId']
drug_drug_name = argv['Op_Pharmacist_addNewDrug2_run_8413']['drugName']
drug_dangerous_drug = 0
state['TABLE_drug'].add({'drug_id': drug_drug_id}, {'drug_name': drug_drug_name,'dangerous_drug': drug_dangerous_drug, '__ts': now})
return state
class Op_Cashier_bill_run_8414():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Cashier_bill_run_8414', 'newBillId'))
def cond0(self, state, argv):
__ts = argv['Op_Cashier_bill_run_8414']['__ts']
newBillId = argv['Op_Cashier_bill_run_8414']['newBillId']
date = argv['Op_Cashier_bill_run_8414']['date']
doctorFee = argv['Op_Cashier_bill_run_8414']['doctorFee']
hospitalFee = argv['Op_Cashier_bill_run_8414']['hospitalFee']
pharmacyFee = argv['Op_Cashier_bill_run_8414']['pharmacyFee']
laboratoryFee = argv['Op_Cashier_bill_run_8414']['laboratoryFee']
appointmentFee = argv['Op_Cashier_bill_run_8414']['appointmentFee']
vat = argv['Op_Cashier_bill_run_8414']['vat']
discount = argv['Op_Cashier_bill_run_8414']['discount']
total = argv['Op_Cashier_bill_run_8414']['total']
paymentMethod = argv['Op_Cashier_bill_run_8414']['paymentMethod']
consultantId = argv['Op_Cashier_bill_run_8414']['consultantId']
patientId = argv['Op_Cashier_bill_run_8414']['patientId']
refund = argv['Op_Cashier_bill_run_8414']['refund']
return True
def csop0(self, state, argv):
now = argv['Op_Cashier_bill_run_8414']['now']
__ts = argv['Op_Cashier_bill_run_8414']['__ts']
newBillId = argv['Op_Cashier_bill_run_8414']['newBillId']
date = argv['Op_Cashier_bill_run_8414']['date']
doctorFee = argv['Op_Cashier_bill_run_8414']['doctorFee']
hospitalFee = argv['Op_Cashier_bill_run_8414']['hospitalFee']
pharmacyFee = argv['Op_Cashier_bill_run_8414']['pharmacyFee']
laboratoryFee = argv['Op_Cashier_bill_run_8414']['laboratoryFee']
appointmentFee = argv['Op_Cashier_bill_run_8414']['appointmentFee']
vat = argv['Op_Cashier_bill_run_8414']['vat']
discount = argv['Op_Cashier_bill_run_8414']['discount']
total = argv['Op_Cashier_bill_run_8414']['total']
paymentMethod = argv['Op_Cashier_bill_run_8414']['paymentMethod']
consultantId = argv['Op_Cashier_bill_run_8414']['consultantId']
patientId = argv['Op_Cashier_bill_run_8414']['patientId']
refund = argv['Op_Cashier_bill_run_8414']['refund']
bill_bill_id = argv['Op_Cashier_bill_run_8414']['newBillId']
bill_bill_date = argv['Op_Cashier_bill_run_8414']['date']
bill_doctor_fee = argv['Op_Cashier_bill_run_8414']['doctorFee']
bill_hospital_fee = argv['Op_Cashier_bill_run_8414']['hospitalFee']
bill_pharmacy_fee = argv['Op_Cashier_bill_run_8414']['pharmacyFee']
bill_laboratory_fee = argv['Op_Cashier_bill_run_8414']['laboratoryFee']
bill_appointment_fee = argv['Op_Cashier_bill_run_8414']['appointmentFee']
bill_vat = argv['Op_Cashier_bill_run_8414']['vat']
bill_discount = argv['Op_Cashier_bill_run_8414']['discount']
bill_total = argv['Op_Cashier_bill_run_8414']['total']
bill_payment_method = argv['Op_Cashier_bill_run_8414']['paymentMethod']
bill_consultant_id = argv['Op_Cashier_bill_run_8414']['consultantId']
bill_patient_id = argv['Op_Cashier_bill_run_8414']['patientId']
bill_refund = argv['Op_Cashier_bill_run_8414']['refund']
bill__ts = state['TABLE_bill'].get({'bill_id': bill_bill_id}, '__ts')
return And((bill__ts < now))
def sop0(self, state, argv):
now = argv['Op_Cashier_bill_run_8414']['now']
__ts = argv['Op_Cashier_bill_run_8414']['__ts']
newBillId = argv['Op_Cashier_bill_run_8414']['newBillId']
date = argv['Op_Cashier_bill_run_8414']['date']
doctorFee = argv['Op_Cashier_bill_run_8414']['doctorFee']
hospitalFee = argv['Op_Cashier_bill_run_8414']['hospitalFee']
pharmacyFee = argv['Op_Cashier_bill_run_8414']['pharmacyFee']
laboratoryFee = argv['Op_Cashier_bill_run_8414']['laboratoryFee']
appointmentFee = argv['Op_Cashier_bill_run_8414']['appointmentFee']
vat = argv['Op_Cashier_bill_run_8414']['vat']
discount = argv['Op_Cashier_bill_run_8414']['discount']
total = argv['Op_Cashier_bill_run_8414']['total']
paymentMethod = argv['Op_Cashier_bill_run_8414']['paymentMethod']
consultantId = argv['Op_Cashier_bill_run_8414']['consultantId']
patientId = argv['Op_Cashier_bill_run_8414']['patientId']
refund = argv['Op_Cashier_bill_run_8414']['refund']
bill_bill_id = argv['Op_Cashier_bill_run_8414']['newBillId']
bill_bill_date = argv['Op_Cashier_bill_run_8414']['date']
bill_doctor_fee = argv['Op_Cashier_bill_run_8414']['doctorFee']
bill_hospital_fee = argv['Op_Cashier_bill_run_8414']['hospitalFee']
bill_pharmacy_fee = argv['Op_Cashier_bill_run_8414']['pharmacyFee']
bill_laboratory_fee = argv['Op_Cashier_bill_run_8414']['laboratoryFee']
bill_appointment_fee = argv['Op_Cashier_bill_run_8414']['appointmentFee']
bill_vat = argv['Op_Cashier_bill_run_8414']['vat']
bill_discount = argv['Op_Cashier_bill_run_8414']['discount']
bill_total = argv['Op_Cashier_bill_run_8414']['total']
bill_payment_method = argv['Op_Cashier_bill_run_8414']['paymentMethod']
bill_consultant_id = argv['Op_Cashier_bill_run_8414']['consultantId']
bill_patient_id = argv['Op_Cashier_bill_run_8414']['patientId']
bill_refund = argv['Op_Cashier_bill_run_8414']['refund']
state['TABLE_bill'].add({'bill_id': bill_bill_id}, {'bill_date': bill_bill_date,'doctor_fee': bill_doctor_fee,'hospital_fee': bill_hospital_fee,'pharmacy_fee': bill_pharmacy_fee,'laboratory_fee': bill_laboratory_fee,'appointment_fee': bill_appointment_fee,'vat': bill_vat,'discount': bill_discount,'total': bill_total,'payment_method': bill_payment_method,'consultant_id': bill_consultant_id,'patient_id': bill_patient_id,'refund': bill_refund, '__ts': now})
return state
class Op_Pharmacist_updateStock_run_8415():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Pharmacist_updateStock_run_8415', 'newStockId'))
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_updateStock_run_8415']['__ts']
newStockId = argv['Op_Pharmacist_updateStock_run_8415']['newStockId']
drugId = argv['Op_Pharmacist_updateStock_run_8415']['drugId']
brandId = argv['Op_Pharmacist_updateStock_run_8415']['brandId']
stock = argv['Op_Pharmacist_updateStock_run_8415']['stock']
manuDate = argv['Op_Pharmacist_updateStock_run_8415']['manuDate']
expDate = argv['Op_Pharmacist_updateStock_run_8415']['expDate']
suppId = argv['Op_Pharmacist_updateStock_run_8415']['suppId']
date = argv['Op_Pharmacist_updateStock_run_8415']['date']
return (state['TABLE_pharmacy_stock'].notNil({'stock_id': argv['Op_Pharmacist_updateStock_run_8415']['newStockId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_updateStock_run_8415']['now']
__ts = argv['Op_Pharmacist_updateStock_run_8415']['__ts']
newStockId = argv['Op_Pharmacist_updateStock_run_8415']['newStockId']
drugId = argv['Op_Pharmacist_updateStock_run_8415']['drugId']
brandId = argv['Op_Pharmacist_updateStock_run_8415']['brandId']
stock = argv['Op_Pharmacist_updateStock_run_8415']['stock']
manuDate = argv['Op_Pharmacist_updateStock_run_8415']['manuDate']
expDate = argv['Op_Pharmacist_updateStock_run_8415']['expDate']
suppId = argv['Op_Pharmacist_updateStock_run_8415']['suppId']
date = argv['Op_Pharmacist_updateStock_run_8415']['date']
pharmacy_stock_stock_id = argv['Op_Pharmacist_updateStock_run_8415']['newStockId']
pharmacy_stock_drug_id = argv['Op_Pharmacist_updateStock_run_8415']['drugId']
pharmacy_stock_brand_id = argv['Op_Pharmacist_updateStock_run_8415']['brandId']
pharmacy_stock_stock = argv['Op_Pharmacist_updateStock_run_8415']['stock']
pharmacy_stock_remaining_quantity = argv['Op_Pharmacist_updateStock_run_8415']['stock']
pharmacy_stock_manufac_date = argv['Op_Pharmacist_updateStock_run_8415']['manuDate']
pharmacy_stock_exp_date = argv['Op_Pharmacist_updateStock_run_8415']['expDate']
pharmacy_stock_supplier_id = argv['Op_Pharmacist_updateStock_run_8415']['suppId']
pharmacy_stock_date = argv['Op_Pharmacist_updateStock_run_8415']['date']
pharmacy_stock__ts = state['TABLE_pharmacy_stock'].get({'stock_id': pharmacy_stock_stock_id}, '__ts')
return And((pharmacy_stock__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_updateStock_run_8415']['now']
__ts = argv['Op_Pharmacist_updateStock_run_8415']['__ts']
newStockId = argv['Op_Pharmacist_updateStock_run_8415']['newStockId']
drugId = argv['Op_Pharmacist_updateStock_run_8415']['drugId']
brandId = argv['Op_Pharmacist_updateStock_run_8415']['brandId']
stock = argv['Op_Pharmacist_updateStock_run_8415']['stock']
manuDate = argv['Op_Pharmacist_updateStock_run_8415']['manuDate']
expDate = argv['Op_Pharmacist_updateStock_run_8415']['expDate']
suppId = argv['Op_Pharmacist_updateStock_run_8415']['suppId']
date = argv['Op_Pharmacist_updateStock_run_8415']['date']
pharmacy_stock_stock_id = argv['Op_Pharmacist_updateStock_run_8415']['newStockId']
pharmacy_stock_drug_id = argv['Op_Pharmacist_updateStock_run_8415']['drugId']
pharmacy_stock_brand_id = argv['Op_Pharmacist_updateStock_run_8415']['brandId']
pharmacy_stock_stock = argv['Op_Pharmacist_updateStock_run_8415']['stock']
pharmacy_stock_remaining_quantity = argv['Op_Pharmacist_updateStock_run_8415']['stock']
pharmacy_stock_manufac_date = argv['Op_Pharmacist_updateStock_run_8415']['manuDate']
pharmacy_stock_exp_date = argv['Op_Pharmacist_updateStock_run_8415']['expDate']
pharmacy_stock_supplier_id = argv['Op_Pharmacist_updateStock_run_8415']['suppId']
pharmacy_stock_date = argv['Op_Pharmacist_updateStock_run_8415']['date']
state['TABLE_pharmacy_stock'].add({'stock_id': pharmacy_stock_stock_id}, {'drug_id': pharmacy_stock_drug_id,'brand_id': pharmacy_stock_brand_id,'stock': pharmacy_stock_stock,'remaining_quantity': pharmacy_stock_remaining_quantity,'manufac_date': pharmacy_stock_manufac_date,'exp_date': pharmacy_stock_exp_date,'supplier_id': pharmacy_stock_supplier_id,'date': pharmacy_stock_date, '__ts': now})
return state
class Op_Pharmacist_reduceStock_run_8416():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_reduceStock_run_8416']['__ts']
id = argv['Op_Pharmacist_reduceStock_run_8416']['id']
pharmacy_stock_stock_id = argv['Op_Pharmacist_reduceStock_run_8416']['pharmacy_stock_stock_id']
return (state['TABLE_pharmacy_stock'].notNil({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_reduceStock_run_8416']['now']
__ts = argv['Op_Pharmacist_reduceStock_run_8416']['__ts']
id = argv['Op_Pharmacist_reduceStock_run_8416']['id']
pharmacy_stock_stock_id = argv['Op_Pharmacist_reduceStock_run_8416']['pharmacy_stock_stock_id']
pharmacy_stock__ts = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, '__ts')
return And((pharmacy_stock__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_reduceStock_run_8416']['now']
__ts = argv['Op_Pharmacist_reduceStock_run_8416']['__ts']
id = argv['Op_Pharmacist_reduceStock_run_8416']['id']
pharmacy_stock_stock_id = argv['Op_Pharmacist_reduceStock_run_8416']['pharmacy_stock_stock_id']
pharmacy_stock_stock_id = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'stock_id')
pharmacy_stock_drug_id = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'drug_id')
pharmacy_stock_brand_id = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'brand_id')
pharmacy_stock_stock = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'stock')
pharmacy_stock_remaining_quantity = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'remaining_quantity')
pharmacy_stock_manufac_date = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'manufac_date')
pharmacy_stock_exp_date = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'exp_date')
pharmacy_stock_supplier_id = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'supplier_id')
pharmacy_stock_date = state['TABLE_pharmacy_stock'].get({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, 'date')
pharmacy_stock_remaining_quantity = (pharmacy_stock_remaining_quantity)-(10)
state['TABLE_pharmacy_stock'].update({'stock_id': argv['Op_Pharmacist_reduceStock_run_8416']['id']}, {'stock_id': pharmacy_stock_stock_id, 'drug_id': pharmacy_stock_drug_id, 'brand_id': pharmacy_stock_brand_id, 'stock': pharmacy_stock_stock, 'remaining_quantity': pharmacy_stock_remaining_quantity, 'manufac_date': pharmacy_stock_manufac_date, 'exp_date': pharmacy_stock_exp_date, 'supplier_id': pharmacy_stock_supplier_id, 'date': pharmacy_stock_date, '__ts': now})
return state
class Op_LabAssistant_updateLabAssistantInfo_run_8417():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['__ts']
id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']
lab_assistant_lab_assistant_id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['lab_assistant_lab_assistant_id']
return (state['TABLE_lab_assistant'].notNil({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['now']
__ts = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['__ts']
id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']
lab_assistant_lab_assistant_id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['lab_assistant_lab_assistant_id']
lab_assistant__ts = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, '__ts')
return And((lab_assistant__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['now']
__ts = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['__ts']
id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']
lab_assistant_lab_assistant_id = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['lab_assistant_lab_assistant_id']
lab_assistant_lab_assistant_id = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'lab_assistant_id')
lab_assistant_user_id = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'user_id')
lab_assistant_education = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'education')
lab_assistant_training = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'training')
lab_assistant_experience = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'experience')
lab_assistant_achievements = state['TABLE_lab_assistant'].get({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, 'achievements')
lab_assistant_education = argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']
state['TABLE_lab_assistant'].update({'lab_assistant_id': argv['Op_LabAssistant_updateLabAssistantInfo_run_8417']['id']}, {'lab_assistant_id': lab_assistant_lab_assistant_id, 'user_id': lab_assistant_user_id, 'education': lab_assistant_education, 'training': lab_assistant_training, 'experience': lab_assistant_experience, 'achievements': lab_assistant_achievements, '__ts': now})
return state
class Op_Receptionist_updateAccountInfo_run_8418():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_updateAccountInfo_run_8418']['__ts']
id = argv['Op_Receptionist_updateAccountInfo_run_8418']['id']
doctor_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['doctor_user_id']
sys_user_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['sys_user_user_id']
return And((state['TABLE_doctor'].notNil({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}) == True),(state['TABLE_sys_user'].notNil({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Receptionist_updateAccountInfo_run_8418']['now']
__ts = argv['Op_Receptionist_updateAccountInfo_run_8418']['__ts']
id = argv['Op_Receptionist_updateAccountInfo_run_8418']['id']
doctor_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['doctor_user_id']
sys_user_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_updateAccountInfo_run_8418']['now']
__ts = argv['Op_Receptionist_updateAccountInfo_run_8418']['__ts']
id = argv['Op_Receptionist_updateAccountInfo_run_8418']['id']
doctor_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['doctor_user_id']
sys_user_user_id = argv['Op_Receptionist_updateAccountInfo_run_8418']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, 'suspend')
sys_user_other_info = argv['Op_Receptionist_updateAccountInfo_run_8418']['id']
state['TABLE_sys_user'].update({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Receptionist_updateAccountInfo_run_8418']['id']}, 'user_id')}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Doctor_diagnose_run_8419():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Doctor_diagnose_run_8419', 'newHistoryId'))
def cond0(self, state, argv):
__ts = argv['Op_Doctor_diagnose_run_8419']['__ts']
newHistoryId = argv['Op_Doctor_diagnose_run_8419']['newHistoryId']
patientId = argv['Op_Doctor_diagnose_run_8419']['patientId']
doctorId = argv['Op_Doctor_diagnose_run_8419']['doctorId']
date = argv['Op_Doctor_diagnose_run_8419']['date']
history = argv['Op_Doctor_diagnose_run_8419']['history']
return (state['TABLE_medical_history'].notNil({'history_id': argv['Op_Doctor_diagnose_run_8419']['newHistoryId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Doctor_diagnose_run_8419']['now']
__ts = argv['Op_Doctor_diagnose_run_8419']['__ts']
newHistoryId = argv['Op_Doctor_diagnose_run_8419']['newHistoryId']
patientId = argv['Op_Doctor_diagnose_run_8419']['patientId']
doctorId = argv['Op_Doctor_diagnose_run_8419']['doctorId']
date = argv['Op_Doctor_diagnose_run_8419']['date']
history = argv['Op_Doctor_diagnose_run_8419']['history']
medical_history_history_id = argv['Op_Doctor_diagnose_run_8419']['newHistoryId']
medical_history_patient_id = argv['Op_Doctor_diagnose_run_8419']['patientId']
medical_history_doctor_id = argv['Op_Doctor_diagnose_run_8419']['doctorId']
medical_history_date = 1451606400
medical_history_history = StringVal('Took medicine for dengue fever')
medical_history__ts = state['TABLE_medical_history'].get({'history_id': medical_history_history_id}, '__ts')
return And((medical_history__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_diagnose_run_8419']['now']
__ts = argv['Op_Doctor_diagnose_run_8419']['__ts']
newHistoryId = argv['Op_Doctor_diagnose_run_8419']['newHistoryId']
patientId = argv['Op_Doctor_diagnose_run_8419']['patientId']
doctorId = argv['Op_Doctor_diagnose_run_8419']['doctorId']
date = argv['Op_Doctor_diagnose_run_8419']['date']
history = argv['Op_Doctor_diagnose_run_8419']['history']
medical_history_history_id = argv['Op_Doctor_diagnose_run_8419']['newHistoryId']
medical_history_patient_id = argv['Op_Doctor_diagnose_run_8419']['patientId']
medical_history_doctor_id = argv['Op_Doctor_diagnose_run_8419']['doctorId']
medical_history_date = 1451606400
medical_history_history = StringVal('Took medicine for dengue fever')
state['TABLE_medical_history'].add({'history_id': medical_history_history_id}, {'patient_id': medical_history_patient_id,'doctor_id': medical_history_doctor_id,'date': medical_history_date,'history': medical_history_history, '__ts': now})
return state
class Op_Pharmacist_updateAccountInfo_run_8420():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_updateAccountInfo_run_8420']['__ts']
pharmacistId = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']
pharmacist_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacist_user_id']
sys_user_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['sys_user_user_id']
return And((state['TABLE_pharmacist'].notNil({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}) == True),(state['TABLE_sys_user'].notNil({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Pharmacist_updateAccountInfo_run_8420']['now']
__ts = argv['Op_Pharmacist_updateAccountInfo_run_8420']['__ts']
pharmacistId = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']
pharmacist_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacist_user_id']
sys_user_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_updateAccountInfo_run_8420']['now']
__ts = argv['Op_Pharmacist_updateAccountInfo_run_8420']['__ts']
pharmacistId = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']
pharmacist_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacist_user_id']
sys_user_user_id = argv['Op_Pharmacist_updateAccountInfo_run_8420']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, 'suspend')
sys_user_other_info = argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']
state['TABLE_sys_user'].update({'user_id': state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updateAccountInfo_run_8420']['pharmacistId']}, 'user_id')}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_LabAssistant_UrineFullReport_run_8421():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_UrineFullReport_run_8421', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_UrineFullReport_run_8421']['__ts']
newTstId = argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']
appId = argv['Op_LabAssistant_UrineFullReport_run_8421']['appId']
appearance = argv['Op_LabAssistant_UrineFullReport_run_8421']['appearance']
sgRefractometer = argv['Op_LabAssistant_UrineFullReport_run_8421']['sgRefractometer']
ph = argv['Op_LabAssistant_UrineFullReport_run_8421']['ph']
protein = argv['Op_LabAssistant_UrineFullReport_run_8421']['protein']
glucose = argv['Op_LabAssistant_UrineFullReport_run_8421']['glucose']
ketoneBodies = argv['Op_LabAssistant_UrineFullReport_run_8421']['ketoneBodies']
bilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['bilirubin']
urobilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['urobilirubin']
contrifugedDepositsphaseContrastMicroscopy = argv['Op_LabAssistant_UrineFullReport_run_8421']['contrifugedDepositsphaseContrastMicroscopy']
pusCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['pusCells']
redCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['redCells']
epithelialCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['epithelialCells']
casts = argv['Op_LabAssistant_UrineFullReport_run_8421']['casts']
cristals = argv['Op_LabAssistant_UrineFullReport_run_8421']['cristals']
now = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
return (state['TABLE_UrineFullReport'].notNil({'tst_ur_id': argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
__ts = argv['Op_LabAssistant_UrineFullReport_run_8421']['__ts']
newTstId = argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']
appId = argv['Op_LabAssistant_UrineFullReport_run_8421']['appId']
appearance = argv['Op_LabAssistant_UrineFullReport_run_8421']['appearance']
sgRefractometer = argv['Op_LabAssistant_UrineFullReport_run_8421']['sgRefractometer']
ph = argv['Op_LabAssistant_UrineFullReport_run_8421']['ph']
protein = argv['Op_LabAssistant_UrineFullReport_run_8421']['protein']
glucose = argv['Op_LabAssistant_UrineFullReport_run_8421']['glucose']
ketoneBodies = argv['Op_LabAssistant_UrineFullReport_run_8421']['ketoneBodies']
bilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['bilirubin']
urobilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['urobilirubin']
contrifugedDepositsphaseContrastMicroscopy = argv['Op_LabAssistant_UrineFullReport_run_8421']['contrifugedDepositsphaseContrastMicroscopy']
pusCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['pusCells']
redCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['redCells']
epithelialCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['epithelialCells']
casts = argv['Op_LabAssistant_UrineFullReport_run_8421']['casts']
cristals = argv['Op_LabAssistant_UrineFullReport_run_8421']['cristals']
now = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
UrineFullReport_tst_ur_id = argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']
UrineFullReport_appointment_id = argv['Op_LabAssistant_UrineFullReport_run_8421']['appId']
UrineFullReport_appearance = argv['Op_LabAssistant_UrineFullReport_run_8421']['appearance']
UrineFullReport_sgRefractometer = argv['Op_LabAssistant_UrineFullReport_run_8421']['sgRefractometer']
UrineFullReport_ph = argv['Op_LabAssistant_UrineFullReport_run_8421']['ph']
UrineFullReport_protein = argv['Op_LabAssistant_UrineFullReport_run_8421']['protein']
UrineFullReport_glucose = argv['Op_LabAssistant_UrineFullReport_run_8421']['glucose']
UrineFullReport_ketoneBodies = argv['Op_LabAssistant_UrineFullReport_run_8421']['ketoneBodies']
UrineFullReport_bilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['bilirubin']
UrineFullReport_urobilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['urobilirubin']
UrineFullReport_contrifugedDepositsphaseContrastMicroscopy = argv['Op_LabAssistant_UrineFullReport_run_8421']['contrifugedDepositsphaseContrastMicroscopy']
UrineFullReport_pusCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['pusCells']
UrineFullReport_redCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['redCells']
UrineFullReport_epithelialCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['epithelialCells']
UrineFullReport_casts = argv['Op_LabAssistant_UrineFullReport_run_8421']['casts']
UrineFullReport_cristals = argv['Op_LabAssistant_UrineFullReport_run_8421']['cristals']
UrineFullReport_date = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
UrineFullReport__ts = state['TABLE_UrineFullReport'].get({'tst_ur_id': UrineFullReport_tst_ur_id}, '__ts')
return And((UrineFullReport__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
__ts = argv['Op_LabAssistant_UrineFullReport_run_8421']['__ts']
newTstId = argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']
appId = argv['Op_LabAssistant_UrineFullReport_run_8421']['appId']
appearance = argv['Op_LabAssistant_UrineFullReport_run_8421']['appearance']
sgRefractometer = argv['Op_LabAssistant_UrineFullReport_run_8421']['sgRefractometer']
ph = argv['Op_LabAssistant_UrineFullReport_run_8421']['ph']
protein = argv['Op_LabAssistant_UrineFullReport_run_8421']['protein']
glucose = argv['Op_LabAssistant_UrineFullReport_run_8421']['glucose']
ketoneBodies = argv['Op_LabAssistant_UrineFullReport_run_8421']['ketoneBodies']
bilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['bilirubin']
urobilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['urobilirubin']
contrifugedDepositsphaseContrastMicroscopy = argv['Op_LabAssistant_UrineFullReport_run_8421']['contrifugedDepositsphaseContrastMicroscopy']
pusCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['pusCells']
redCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['redCells']
epithelialCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['epithelialCells']
casts = argv['Op_LabAssistant_UrineFullReport_run_8421']['casts']
cristals = argv['Op_LabAssistant_UrineFullReport_run_8421']['cristals']
now = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
UrineFullReport_tst_ur_id = argv['Op_LabAssistant_UrineFullReport_run_8421']['newTstId']
UrineFullReport_appointment_id = argv['Op_LabAssistant_UrineFullReport_run_8421']['appId']
UrineFullReport_appearance = argv['Op_LabAssistant_UrineFullReport_run_8421']['appearance']
UrineFullReport_sgRefractometer = argv['Op_LabAssistant_UrineFullReport_run_8421']['sgRefractometer']
UrineFullReport_ph = argv['Op_LabAssistant_UrineFullReport_run_8421']['ph']
UrineFullReport_protein = argv['Op_LabAssistant_UrineFullReport_run_8421']['protein']
UrineFullReport_glucose = argv['Op_LabAssistant_UrineFullReport_run_8421']['glucose']
UrineFullReport_ketoneBodies = argv['Op_LabAssistant_UrineFullReport_run_8421']['ketoneBodies']
UrineFullReport_bilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['bilirubin']
UrineFullReport_urobilirubin = argv['Op_LabAssistant_UrineFullReport_run_8421']['urobilirubin']
UrineFullReport_contrifugedDepositsphaseContrastMicroscopy = argv['Op_LabAssistant_UrineFullReport_run_8421']['contrifugedDepositsphaseContrastMicroscopy']
UrineFullReport_pusCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['pusCells']
UrineFullReport_redCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['redCells']
UrineFullReport_epithelialCells = argv['Op_LabAssistant_UrineFullReport_run_8421']['epithelialCells']
UrineFullReport_casts = argv['Op_LabAssistant_UrineFullReport_run_8421']['casts']
UrineFullReport_cristals = argv['Op_LabAssistant_UrineFullReport_run_8421']['cristals']
UrineFullReport_date = argv['Op_LabAssistant_UrineFullReport_run_8421']['now']
state['TABLE_UrineFullReport'].add({'tst_ur_id': UrineFullReport_tst_ur_id}, {'appointment_id': UrineFullReport_appointment_id,'appearance': UrineFullReport_appearance,'sgRefractometer': UrineFullReport_sgRefractometer,'ph': UrineFullReport_ph,'protein': UrineFullReport_protein,'glucose': UrineFullReport_glucose,'ketoneBodies': UrineFullReport_ketoneBodies,'bilirubin': UrineFullReport_bilirubin,'urobilirubin': UrineFullReport_urobilirubin,'contrifugedDepositsphaseContrastMicroscopy': UrineFullReport_contrifugedDepositsphaseContrastMicroscopy,'pusCells': UrineFullReport_pusCells,'redCells': UrineFullReport_redCells,'epithelialCells': UrineFullReport_epithelialCells,'casts': UrineFullReport_casts,'cristals': UrineFullReport_cristals,'date': UrineFullReport_date, '__ts': now})
return state
class Op_Receptionist_cancelAppointment_run_8422():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1), (self.cond2, self.csop2, self.sop2)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_cancelAppointment_run_8422', 'newRefundId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
bill_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_bill_id']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True)))
def csop0(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment__ts = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, '__ts')
return And((appointment__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_appointment_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'appointment_id')
appointment_date = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'date')
appointment_info = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'info')
appointment_patient_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'patient_id')
appointment_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
appointment_slmc_reg_no = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'slmc_reg_no')
appointment_cancelled = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'cancelled')
appointment_cancelled = True
state['TABLE_appointment'].update({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, {'appointment_id': appointment_appointment_id, 'date': appointment_date, 'info': appointment_info, 'patient_id': appointment_patient_id, 'bill_id': appointment_bill_id, 'slmc_reg_no': appointment_slmc_reg_no, 'cancelled': appointment_cancelled, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
bill_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_bill_id']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True),(state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True)))
def csop1(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
appointment__ts = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, '__ts')
refund_refund_id = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
refund_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
return And((appointment__ts < now), (refund__ts < now))
def sop1(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
appointment_appointment_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'appointment_id')
appointment_date = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'date')
appointment_info = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'info')
appointment_patient_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'patient_id')
appointment_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
appointment_slmc_reg_no = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'slmc_reg_no')
appointment_cancelled = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'cancelled')
appointment_cancelled = True
state['TABLE_appointment'].update({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, {'appointment_id': appointment_appointment_id, 'date': appointment_date, 'info': appointment_info, 'patient_id': appointment_patient_id, 'bill_id': appointment_bill_id, 'slmc_reg_no': appointment_slmc_reg_no, 'cancelled': appointment_cancelled, '__ts': now})
refund_refund_id = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
refund_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
return state
def cond2(self, state, argv):
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
bill_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_bill_id']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True),(state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}) == True))
def csop2(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
bill_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_bill_id']
appointment__ts = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, '__ts')
refund_refund_id = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
refund_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
bill__ts = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, '__ts')
return And((appointment__ts < now), (refund__ts < now), (bill__ts < now))
def sop2(self, state, argv):
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
__ts = argv['Op_Receptionist_cancelAppointment_run_8422']['__ts']
appointmentId = argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']
appointment_appointment_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_appointment_id']
appointment_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
bill_total = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_total']
now = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
bill_bill_id = argv['Op_Receptionist_cancelAppointment_run_8422']['bill_bill_id']
appointment_appointment_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'appointment_id')
appointment_date = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'date')
appointment_info = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'info')
appointment_patient_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'patient_id')
appointment_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
appointment_slmc_reg_no = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'slmc_reg_no')
appointment_cancelled = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'cancelled')
appointment_cancelled = True
state['TABLE_appointment'].update({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, {'appointment_id': appointment_appointment_id, 'date': appointment_date, 'info': appointment_info, 'patient_id': appointment_patient_id, 'bill_id': appointment_bill_id, 'slmc_reg_no': appointment_slmc_reg_no, 'cancelled': appointment_cancelled, '__ts': now})
refund_refund_id = argv['Op_Receptionist_cancelAppointment_run_8422']['newRefundId']
refund_bill_id = state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelAppointment_run_8422']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
bill_bill_id = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'bill_id')
bill_bill_date = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'bill_date')
bill_doctor_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'doctor_fee')
bill_hospital_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'hospital_fee')
bill_pharmacy_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'pharmacy_fee')
bill_laboratory_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'laboratory_fee')
bill_appointment_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'appointment_fee')
bill_vat = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'vat')
bill_discount = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'discount')
bill_total = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'total')
bill_payment_method = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'payment_method')
bill_consultant_id = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'consultant_id')
bill_patient_id = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'patient_id')
bill_refund = state['TABLE_bill'].get({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, 'refund')
bill_refund = 1
state['TABLE_bill'].update({'bill_id': state['TABLE_appointment'].get({'appointment_id': argv['Op_Receptionist_cancelAppointment_run_8422']['appointmentId']}, 'bill_id')}, {'bill_id': bill_bill_id, 'bill_date': bill_bill_date, 'doctor_fee': bill_doctor_fee, 'hospital_fee': bill_hospital_fee, 'pharmacy_fee': bill_pharmacy_fee, 'laboratory_fee': bill_laboratory_fee, 'appointment_fee': bill_appointment_fee, 'vat': bill_vat, 'discount': bill_discount, 'total': bill_total, 'payment_method': bill_payment_method, 'consultant_id': bill_consultant_id, 'patient_id': bill_patient_id, 'refund': bill_refund, '__ts': now})
return state
class Op_Cashier_makeRefund_run_8423():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Cashier_makeRefund_run_8423']['__ts']
id = argv['Op_Cashier_makeRefund_run_8423']['id']
return True
def csop0(self, state, argv):
now = argv['Op_Cashier_makeRefund_run_8423']['now']
__ts = argv['Op_Cashier_makeRefund_run_8423']['__ts']
id = argv['Op_Cashier_makeRefund_run_8423']['id']
return And()
def sop0(self, state, argv):
now = argv['Op_Cashier_makeRefund_run_8423']['now']
__ts = argv['Op_Cashier_makeRefund_run_8423']['__ts']
id = argv['Op_Cashier_makeRefund_run_8423']['id']
state['TABLE_refund'].delete({'refund_id': argv['Op_Cashier_makeRefund_run_8423']['id']})
return state
class Op_Cashier_refund_run_8424():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Cashier_refund_run_8424', 'newRefundId'))
def cond0(self, state, argv):
__ts = argv['Op_Cashier_refund_run_8424']['__ts']
newRefundId = argv['Op_Cashier_refund_run_8424']['newRefundId']
billId = argv['Op_Cashier_refund_run_8424']['billId']
paymentType = argv['Op_Cashier_refund_run_8424']['paymentType']
reason = argv['Op_Cashier_refund_run_8424']['reason']
amount = argv['Op_Cashier_refund_run_8424']['amount']
now = argv['Op_Cashier_refund_run_8424']['now']
return (state['TABLE_refund'].notNil({'refund_id': argv['Op_Cashier_refund_run_8424']['newRefundId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Cashier_refund_run_8424']['now']
__ts = argv['Op_Cashier_refund_run_8424']['__ts']
newRefundId = argv['Op_Cashier_refund_run_8424']['newRefundId']
billId = argv['Op_Cashier_refund_run_8424']['billId']
paymentType = argv['Op_Cashier_refund_run_8424']['paymentType']
reason = argv['Op_Cashier_refund_run_8424']['reason']
amount = argv['Op_Cashier_refund_run_8424']['amount']
now = argv['Op_Cashier_refund_run_8424']['now']
refund_refund_id = argv['Op_Cashier_refund_run_8424']['newRefundId']
refund_bill_id = argv['Op_Cashier_refund_run_8424']['billId']
refund_payment_type = argv['Op_Cashier_refund_run_8424']['paymentType']
refund_reason = argv['Op_Cashier_refund_run_8424']['reason']
refund_amount = argv['Op_Cashier_refund_run_8424']['amount']
refund_date = argv['Op_Cashier_refund_run_8424']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
return And((refund__ts < now))
def sop0(self, state, argv):
now = argv['Op_Cashier_refund_run_8424']['now']
__ts = argv['Op_Cashier_refund_run_8424']['__ts']
newRefundId = argv['Op_Cashier_refund_run_8424']['newRefundId']
billId = argv['Op_Cashier_refund_run_8424']['billId']
paymentType = argv['Op_Cashier_refund_run_8424']['paymentType']
reason = argv['Op_Cashier_refund_run_8424']['reason']
amount = argv['Op_Cashier_refund_run_8424']['amount']
now = argv['Op_Cashier_refund_run_8424']['now']
refund_refund_id = argv['Op_Cashier_refund_run_8424']['newRefundId']
refund_bill_id = argv['Op_Cashier_refund_run_8424']['billId']
refund_payment_type = argv['Op_Cashier_refund_run_8424']['paymentType']
refund_reason = argv['Op_Cashier_refund_run_8424']['reason']
refund_amount = argv['Op_Cashier_refund_run_8424']['amount']
refund_date = argv['Op_Cashier_refund_run_8424']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
return state
class Op_Doctor_allergies_run_8425():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_allergies_run_8425']['__ts']
patientId = argv['Op_Doctor_allergies_run_8425']['patientId']
patient_drug_allergies_and_reactions = argv['Op_Doctor_allergies_run_8425']['patient_drug_allergies_and_reactions']
allergies = argv['Op_Doctor_allergies_run_8425']['allergies']
patient_patient_id = argv['Op_Doctor_allergies_run_8425']['patient_patient_id']
return And((state['TABLE_patient'].notNil({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}) == True),(state['TABLE_patient'].notNil({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}) == True))
def csop0(self, state, argv):
now = argv['Op_Doctor_allergies_run_8425']['now']
__ts = argv['Op_Doctor_allergies_run_8425']['__ts']
patientId = argv['Op_Doctor_allergies_run_8425']['patientId']
patient_drug_allergies_and_reactions = argv['Op_Doctor_allergies_run_8425']['patient_drug_allergies_and_reactions']
allergies = argv['Op_Doctor_allergies_run_8425']['allergies']
patient_patient_id = argv['Op_Doctor_allergies_run_8425']['patient_patient_id']
patient__ts = state['TABLE_patient'].get({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, '__ts')
return And((patient__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_allergies_run_8425']['now']
__ts = argv['Op_Doctor_allergies_run_8425']['__ts']
patientId = argv['Op_Doctor_allergies_run_8425']['patientId']
patient_drug_allergies_and_reactions = argv['Op_Doctor_allergies_run_8425']['patient_drug_allergies_and_reactions']
allergies = argv['Op_Doctor_allergies_run_8425']['allergies']
patient_patient_id = argv['Op_Doctor_allergies_run_8425']['patient_patient_id']
patient_patient_id = state['TABLE_patient'].get({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, 'patient_id')
patient_person_id = state['TABLE_patient'].get({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, 'person_id')
patient_drug_allergies_and_reactions = state['TABLE_patient'].get({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, 'drug_allergies_and_reactions')
patient_drug_allergies_and_reactions = ((state['TABLE_patient'].get({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, 'drug_allergies_and_reactions'))+(StringVal(',')))+(argv['Op_Doctor_allergies_run_8425']['allergies'])
state['TABLE_patient'].update({'patient_id': argv['Op_Doctor_allergies_run_8425']['patientId']}, {'patient_id': patient_patient_id, 'person_id': patient_person_id, 'drug_allergies_and_reactions': patient_drug_allergies_and_reactions, '__ts': now})
return state
class Op_Admin_createNewUser_run_8426():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1), (self.cond2, self.csop2, self.sop2), (self.cond3, self.csop3, self.sop3), (self.cond4, self.csop4, self.sop4), (self.cond5, self.csop5, self.sop5), (self.cond6, self.csop6, self.sop6), (self.cond7, self.csop7, self.sop7), (self.cond8, self.csop8, self.sop8)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Admin_createNewUser_run_8426', 'newPersonId'), AxiomUniqueArgument('Op_Admin_createNewUser_run_8426', 'newUserId'), AxiomUniqueArgument('Op_Admin_createNewUser_run_8426', 'newLabAssistantId'), AxiomUniqueArgument('Op_Admin_createNewUser_run_8426', 'newPharmacistId'), AxiomUniqueArgument('Op_Admin_createNewUser_run_8426', 'newSlmcReg'))
def cond0(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop0(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop1(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
return And((person__ts < now))
def sop1(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
return state
def cond2(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop2(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
return And((person__ts < now))
def sop2(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
return state
def cond3(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop3(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
return And((person__ts < now), (sys_user__ts < now))
def sop3(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password, '__ts': now})
return state
def cond4(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop4(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
return And((person__ts < now), (sys_user__ts < now))
def sop4(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password, '__ts': now})
return state
def cond5(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist'))),Not((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))))
def csop5(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
return And((person__ts < now), (sys_user__ts < now))
def sop5(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password, '__ts': now})
return state
def cond6(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')))
def csop6(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
lab_assistant_lab_assistant_id = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
lab_assistant_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
lab_assistant__ts = state['TABLE_lab_assistant'].get({'lab_assistant_id': lab_assistant_lab_assistant_id}, '__ts')
return And((person__ts < now), (sys_user__ts < now), (lab_assistant__ts < now))
def sop6(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newLabAssistantId = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password, '__ts': now})
lab_assistant_lab_assistant_id = argv['Op_Admin_createNewUser_run_8426']['newLabAssistantId']
lab_assistant_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
state['TABLE_lab_assistant'].add({'lab_assistant_id': lab_assistant_lab_assistant_id}, {'user_id': lab_assistant_user_id, '__ts': now})
return state
def cond7(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
return And((argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('lab_assistant')),(argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('pharmacist')))
def csop7(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
pharmacist_pharmacist_id = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
pharmacist_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
pharmacist__ts = state['TABLE_pharmacist'].get({'pharmacist_id': pharmacist_pharmacist_id}, '__ts')
return And((person__ts < now), (sys_user__ts < now), (pharmacist__ts < now))
def sop7(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newPharmacistId = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password, '__ts': now})
pharmacist_pharmacist_id = argv['Op_Admin_createNewUser_run_8426']['newPharmacistId']
pharmacist_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
state['TABLE_pharmacist'].add({'pharmacist_id': pharmacist_pharmacist_id}, {'user_id': pharmacist_user_id, '__ts': now})
return state
def cond8(self, state, argv):
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
return (argv['Op_Admin_createNewUser_run_8426']['userType'])==(StringVal('doctor'))
def csop8(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
sys_user__ts = state['TABLE_sys_user'].get({'user_id': sys_user_user_id}, '__ts')
doctor_slmc_reg_no = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
doctor_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
doctor__ts = state['TABLE_doctor'].get({'slmc_reg_no': doctor_slmc_reg_no}, '__ts')
return And((person__ts < now), (sys_user__ts < now), (doctor__ts < now))
def sop8(self, state, argv):
now = argv['Op_Admin_createNewUser_run_8426']['now']
__ts = argv['Op_Admin_createNewUser_run_8426']['__ts']
newPersonId = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
firstName = argv['Op_Admin_createNewUser_run_8426']['firstName']
lastName = argv['Op_Admin_createNewUser_run_8426']['lastName']
nic = argv['Op_Admin_createNewUser_run_8426']['nic']
mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
newUserId = argv['Op_Admin_createNewUser_run_8426']['newUserId']
userName = argv['Op_Admin_createNewUser_run_8426']['userName']
userType = argv['Op_Admin_createNewUser_run_8426']['userType']
newSlmcReg = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
person_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
person_first_name = argv['Op_Admin_createNewUser_run_8426']['firstName']
person_last_name = argv['Op_Admin_createNewUser_run_8426']['lastName']
person_nic = argv['Op_Admin_createNewUser_run_8426']['nic']
person_mobile = argv['Op_Admin_createNewUser_run_8426']['mobile']
state['TABLE_person'].add({'person_id': person_person_id}, {'first_name': person_first_name,'last_name': person_last_name,'nic': person_nic,'mobile': person_mobile, '__ts': now})
sys_user_person_id = argv['Op_Admin_createNewUser_run_8426']['newPersonId']
sys_user_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
sys_user_user_name = argv['Op_Admin_createNewUser_run_8426']['userName']
sys_user_user_type = argv['Op_Admin_createNewUser_run_8426']['userType']
sys_user_password = StringVal('1234')
state['TABLE_sys_user'].add({'user_id': sys_user_user_id}, {'person_id': sys_user_person_id,'user_name': sys_user_user_name,'user_type': sys_user_user_type,'password': sys_user_password,'suspend':0, '__ts': now})
doctor_slmc_reg_no = argv['Op_Admin_createNewUser_run_8426']['newSlmcReg']
doctor_user_id = argv['Op_Admin_createNewUser_run_8426']['newUserId']
state['TABLE_doctor'].add({'slmc_reg_no': doctor_slmc_reg_no}, {'user_id': doctor_user_id, '__ts': now})
return state
class Op_Pharmacist_bill_run_8427():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_bill_run_8427']['__ts']
id = argv['Op_Pharmacist_bill_run_8427']['id']
tmp_bill_tmp_bill_id = argv['Op_Pharmacist_bill_run_8427']['tmp_bill_tmp_bill_id']
return And((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}) == True),(state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Pharmacist_bill_run_8427']['now']
__ts = argv['Op_Pharmacist_bill_run_8427']['__ts']
id = argv['Op_Pharmacist_bill_run_8427']['id']
tmp_bill_tmp_bill_id = argv['Op_Pharmacist_bill_run_8427']['tmp_bill_tmp_bill_id']
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, '__ts')
return And((tmp_bill__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_bill_run_8427']['now']
__ts = argv['Op_Pharmacist_bill_run_8427']['__ts']
id = argv['Op_Pharmacist_bill_run_8427']['id']
tmp_bill_tmp_bill_id = argv['Op_Pharmacist_bill_run_8427']['tmp_bill_tmp_bill_id']
tmp_bill_tmp_bill_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'tmp_bill_id')
tmp_bill_doctor_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'doctor_fee')
tmp_bill_hospital_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'hospital_fee')
tmp_bill_pharmacy_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'pharmacy_fee')
tmp_bill_laboratory_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'laboratory_fee')
tmp_bill_appointment_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'appointment_fee')
tmp_bill_vat = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'vat')
tmp_bill_discount = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'discount')
tmp_bill_consultant_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'consultant_id')
tmp_bill_patient_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, 'patient_id')
tmp_bill_laboratory_fee = 100
state['TABLE_tmp_bill'].update({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Pharmacist_bill_run_8427']['id']}, 'tmp_bill_id')}, {'tmp_bill_id': tmp_bill_tmp_bill_id, 'doctor_fee': tmp_bill_doctor_fee, 'hospital_fee': tmp_bill_hospital_fee, 'pharmacy_fee': tmp_bill_pharmacy_fee, 'laboratory_fee': tmp_bill_laboratory_fee, 'appointment_fee': tmp_bill_appointment_fee, 'vat': tmp_bill_vat, 'discount': tmp_bill_discount, 'consultant_id': tmp_bill_consultant_id, 'patient_id': tmp_bill_patient_id, '__ts': now})
return state
class Op_Receptionist_updatePatientInfo_run_8428():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_updatePatientInfo_run_8428']['__ts']
patientId = argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']
info = argv['Op_Receptionist_updatePatientInfo_run_8428']['info']
patient_patient_id = argv['Op_Receptionist_updatePatientInfo_run_8428']['patient_patient_id']
return And((state['TABLE_patient'].notNil({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}) == True),(state['TABLE_patient'].notNil({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}) == True))
def csop0(self, state, argv):
now = argv['Op_Receptionist_updatePatientInfo_run_8428']['now']
__ts = argv['Op_Receptionist_updatePatientInfo_run_8428']['__ts']
patientId = argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']
info = argv['Op_Receptionist_updatePatientInfo_run_8428']['info']
patient_patient_id = argv['Op_Receptionist_updatePatientInfo_run_8428']['patient_patient_id']
patient__ts = state['TABLE_patient'].get({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}, '__ts')
return And((patient__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_updatePatientInfo_run_8428']['now']
__ts = argv['Op_Receptionist_updatePatientInfo_run_8428']['__ts']
patientId = argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']
info = argv['Op_Receptionist_updatePatientInfo_run_8428']['info']
patient_patient_id = argv['Op_Receptionist_updatePatientInfo_run_8428']['patient_patient_id']
patient_patient_id = state['TABLE_patient'].get({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}, 'patient_id')
patient_person_id = state['TABLE_patient'].get({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}, 'person_id')
patient_drug_allergies_and_reactions = state['TABLE_patient'].get({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}, 'drug_allergies_and_reactions')
patient_drug_allergies_and_reactions = argv['Op_Receptionist_updatePatientInfo_run_8428']['info']
state['TABLE_patient'].update({'patient_id': argv['Op_Receptionist_updatePatientInfo_run_8428']['patientId']}, {'patient_id': patient_patient_id, 'person_id': patient_person_id, 'drug_allergies_and_reactions': patient_drug_allergies_and_reactions, '__ts': now})
return state
class Op_Doctor_updateDoctorInfo_run_8429():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_updateDoctorInfo_run_8429']['__ts']
id = argv['Op_Doctor_updateDoctorInfo_run_8429']['id']
doctor_slmc_reg_no = argv['Op_Doctor_updateDoctorInfo_run_8429']['doctor_slmc_reg_no']
return (state['TABLE_doctor'].notNil({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Doctor_updateDoctorInfo_run_8429']['now']
__ts = argv['Op_Doctor_updateDoctorInfo_run_8429']['__ts']
id = argv['Op_Doctor_updateDoctorInfo_run_8429']['id']
doctor_slmc_reg_no = argv['Op_Doctor_updateDoctorInfo_run_8429']['doctor_slmc_reg_no']
doctor__ts = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, '__ts')
return And((doctor__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_updateDoctorInfo_run_8429']['now']
__ts = argv['Op_Doctor_updateDoctorInfo_run_8429']['__ts']
id = argv['Op_Doctor_updateDoctorInfo_run_8429']['id']
doctor_slmc_reg_no = argv['Op_Doctor_updateDoctorInfo_run_8429']['doctor_slmc_reg_no']
doctor_slmc_reg_no = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'slmc_reg_no')
doctor_user_id = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'user_id')
doctor_education = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'education')
doctor_training = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'training')
doctor_experienced_areas = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'experienced_areas')
doctor_experience = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'experience')
doctor_achievements = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'achievements')
doctor_channelling_fee = state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, 'channelling_fee')
doctor_achievements = argv['Op_Doctor_updateDoctorInfo_run_8429']['id']
state['TABLE_doctor'].update({'slmc_reg_no': argv['Op_Doctor_updateDoctorInfo_run_8429']['id']}, {'slmc_reg_no': doctor_slmc_reg_no, 'user_id': doctor_user_id, 'education': doctor_education, 'training': doctor_training, 'experienced_areas': doctor_experienced_areas, 'experience': doctor_experience, 'achievements': doctor_achievements, 'channelling_fee': doctor_channelling_fee, '__ts': now})
return state
class Op_Receptionist_updateProfileInfo_run_8430():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_updateProfileInfo_run_8430']['__ts']
userId = argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']
address = argv['Op_Receptionist_updateProfileInfo_run_8430']['address']
sys_user_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['sys_user_person_id']
person_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['person_person_id']
return And((state['TABLE_sys_user'].notNil({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}) == True),(state['TABLE_person'].notNil({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Receptionist_updateProfileInfo_run_8430']['now']
__ts = argv['Op_Receptionist_updateProfileInfo_run_8430']['__ts']
userId = argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']
address = argv['Op_Receptionist_updateProfileInfo_run_8430']['address']
sys_user_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['sys_user_person_id']
person_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['person_person_id']
person__ts = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_updateProfileInfo_run_8430']['now']
__ts = argv['Op_Receptionist_updateProfileInfo_run_8430']['__ts']
userId = argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']
address = argv['Op_Receptionist_updateProfileInfo_run_8430']['address']
sys_user_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['sys_user_person_id']
person_person_id = argv['Op_Receptionist_updateProfileInfo_run_8430']['person_person_id']
person_person_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'person_id')
person_user_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'user_id')
person_nic = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'nic')
person_gender = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'gender')
person_date_of_birth = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'date_of_birth')
person_address = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'address')
person_mobile = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'mobile')
person_first_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'first_name')
person_last_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'last_name')
person_email = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'email')
person_nationality = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'nationality')
person_religion = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, 'religion')
person_address = argv['Op_Receptionist_updateProfileInfo_run_8430']['address']
state['TABLE_person'].update({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Receptionist_updateProfileInfo_run_8430']['userId']}, 'person_id')}, {'person_id': person_person_id, 'user_id': person_user_id, 'nic': person_nic, 'gender': person_gender, 'date_of_birth': person_date_of_birth, 'address': person_address, 'mobile': person_mobile, 'first_name': person_first_name, 'last_name': person_last_name, 'email': person_email, 'nationality': person_nationality, 'religion': person_religion, '__ts': now})
return state
class Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['appId']
cpkTotal = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['cpkTotal']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
return (state['TABLE_SeriumCreatinePhosphokinaseTotal'].notNil({'tst_SCPT_id': argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['appId']
cpkTotal = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['cpkTotal']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
SeriumCreatinePhosphokinaseTotal_tst_SCPT_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']
SeriumCreatinePhosphokinaseTotal_appointment_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['appId']
SeriumCreatinePhosphokinaseTotal_cpkTotal = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['cpkTotal']
SeriumCreatinePhosphokinaseTotal_date = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
SeriumCreatinePhosphokinaseTotal__ts = state['TABLE_SeriumCreatinePhosphokinaseTotal'].get({'tst_SCPT_id': SeriumCreatinePhosphokinaseTotal_tst_SCPT_id}, '__ts')
return And((SeriumCreatinePhosphokinaseTotal__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['appId']
cpkTotal = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['cpkTotal']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
SeriumCreatinePhosphokinaseTotal_tst_SCPT_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['newTstId']
SeriumCreatinePhosphokinaseTotal_appointment_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['appId']
SeriumCreatinePhosphokinaseTotal_cpkTotal = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['cpkTotal']
SeriumCreatinePhosphokinaseTotal_date = argv['Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431']['now']
state['TABLE_SeriumCreatinePhosphokinaseTotal'].add({'tst_SCPT_id': SeriumCreatinePhosphokinaseTotal_tst_SCPT_id}, {'appointment_id': SeriumCreatinePhosphokinaseTotal_appointment_id,'cpkTotal': SeriumCreatinePhosphokinaseTotal_cpkTotal,'date': SeriumCreatinePhosphokinaseTotal_date, '__ts': now})
return state
class Op_Cashier_updateAccountInfo_run_8432():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Cashier_updateAccountInfo_run_8432']['__ts']
id = argv['Op_Cashier_updateAccountInfo_run_8432']['id']
sys_user_user_id = argv['Op_Cashier_updateAccountInfo_run_8432']['sys_user_user_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Cashier_updateAccountInfo_run_8432']['now']
__ts = argv['Op_Cashier_updateAccountInfo_run_8432']['__ts']
id = argv['Op_Cashier_updateAccountInfo_run_8432']['id']
sys_user_user_id = argv['Op_Cashier_updateAccountInfo_run_8432']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Cashier_updateAccountInfo_run_8432']['now']
__ts = argv['Op_Cashier_updateAccountInfo_run_8432']['__ts']
id = argv['Op_Cashier_updateAccountInfo_run_8432']['id']
sys_user_user_id = argv['Op_Cashier_updateAccountInfo_run_8432']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, 'suspend')
sys_user_other_info = argv['Op_Cashier_updateAccountInfo_run_8432']['id']
state['TABLE_sys_user'].update({'user_id': argv['Op_Cashier_updateAccountInfo_run_8432']['id']}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Admin_suspendUser_run_8433():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Admin_suspendUser_run_8433']['__ts']
id = argv['Op_Admin_suspendUser_run_8433']['id']
sys_user_user_id = argv['Op_Admin_suspendUser_run_8433']['sys_user_user_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Admin_suspendUser_run_8433']['now']
__ts = argv['Op_Admin_suspendUser_run_8433']['__ts']
id = argv['Op_Admin_suspendUser_run_8433']['id']
sys_user_user_id = argv['Op_Admin_suspendUser_run_8433']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_suspendUser_run_8433']['now']
__ts = argv['Op_Admin_suspendUser_run_8433']['__ts']
id = argv['Op_Admin_suspendUser_run_8433']['id']
sys_user_user_id = argv['Op_Admin_suspendUser_run_8433']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, 'suspend')
sys_user_suspend = 1
state['TABLE_sys_user'].update({'user_id': argv['Op_Admin_suspendUser_run_8433']['id']}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Doctor_updateProfileInfo_run_8434():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_updateProfileInfo_run_8434']['__ts']
id = argv['Op_Doctor_updateProfileInfo_run_8434']['id']
doctor_user_id = argv['Op_Doctor_updateProfileInfo_run_8434']['doctor_user_id']
sys_user_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['sys_user_person_id']
person_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['person_person_id']
return And((state['TABLE_doctor'].notNil({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}) == True),(state['TABLE_sys_user'].notNil({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}) == True),(state['TABLE_person'].notNil({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Doctor_updateProfileInfo_run_8434']['now']
__ts = argv['Op_Doctor_updateProfileInfo_run_8434']['__ts']
id = argv['Op_Doctor_updateProfileInfo_run_8434']['id']
doctor_user_id = argv['Op_Doctor_updateProfileInfo_run_8434']['doctor_user_id']
sys_user_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['sys_user_person_id']
person_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['person_person_id']
person__ts = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_updateProfileInfo_run_8434']['now']
__ts = argv['Op_Doctor_updateProfileInfo_run_8434']['__ts']
id = argv['Op_Doctor_updateProfileInfo_run_8434']['id']
doctor_user_id = argv['Op_Doctor_updateProfileInfo_run_8434']['doctor_user_id']
sys_user_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['sys_user_person_id']
person_person_id = argv['Op_Doctor_updateProfileInfo_run_8434']['person_person_id']
person_person_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'person_id')
person_user_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'user_id')
person_nic = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'nic')
person_gender = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'gender')
person_date_of_birth = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'date_of_birth')
person_address = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'address')
person_mobile = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'mobile')
person_first_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'first_name')
person_last_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'last_name')
person_email = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'email')
person_nationality = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'nationality')
person_religion = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, 'religion')
person_address = argv['Op_Doctor_updateProfileInfo_run_8434']['id']
state['TABLE_person'].update({'person_id': state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateProfileInfo_run_8434']['id']}, 'user_id')}, 'person_id')}, {'person_id': person_person_id, 'user_id': person_user_id, 'nic': person_nic, 'gender': person_gender, 'date_of_birth': person_date_of_birth, 'address': person_address, 'mobile': person_mobile, 'first_name': person_first_name, 'last_name': person_last_name, 'email': person_email, 'nationality': person_nationality, 'religion': person_religion, '__ts': now})
return state
class Op_Pharmacist_updateProfileInfo_run_8435():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_updateProfileInfo_run_8435']['__ts']
id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']
address = argv['Op_Pharmacist_updateProfileInfo_run_8435']['address']
sys_user_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['sys_user_person_id']
person_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['person_person_id']
return And((state['TABLE_sys_user'].notNil({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}) == True),(state['TABLE_person'].notNil({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Pharmacist_updateProfileInfo_run_8435']['now']
__ts = argv['Op_Pharmacist_updateProfileInfo_run_8435']['__ts']
id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']
address = argv['Op_Pharmacist_updateProfileInfo_run_8435']['address']
sys_user_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['sys_user_person_id']
person_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['person_person_id']
person__ts = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_updateProfileInfo_run_8435']['now']
__ts = argv['Op_Pharmacist_updateProfileInfo_run_8435']['__ts']
id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']
address = argv['Op_Pharmacist_updateProfileInfo_run_8435']['address']
sys_user_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['sys_user_person_id']
person_person_id = argv['Op_Pharmacist_updateProfileInfo_run_8435']['person_person_id']
person_person_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'person_id')
person_user_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'user_id')
person_nic = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'nic')
person_gender = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'gender')
person_date_of_birth = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'date_of_birth')
person_address = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'address')
person_mobile = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'mobile')
person_first_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'first_name')
person_last_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'last_name')
person_email = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'email')
person_nationality = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'nationality')
person_religion = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, 'religion')
person_address = argv['Op_Pharmacist_updateProfileInfo_run_8435']['address']
state['TABLE_person'].update({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Pharmacist_updateProfileInfo_run_8435']['id']}, 'person_id')}, {'person_id': person_person_id, 'user_id': person_user_id, 'nic': person_nic, 'gender': person_gender, 'date_of_birth': person_date_of_birth, 'address': person_address, 'mobile': person_mobile, 'first_name': person_first_name, 'last_name': person_last_name, 'email': person_email, 'nationality': person_nationality, 'religion': person_religion, '__ts': now})
return state
class Op_Doctor_bill_run_8436():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_bill_run_8436']['__ts']
id = argv['Op_Doctor_bill_run_8436']['id']
tmp_bill_tmp_bill_id = argv['Op_Doctor_bill_run_8436']['tmp_bill_tmp_bill_id']
return And((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}) == True),(state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Doctor_bill_run_8436']['now']
__ts = argv['Op_Doctor_bill_run_8436']['__ts']
id = argv['Op_Doctor_bill_run_8436']['id']
tmp_bill_tmp_bill_id = argv['Op_Doctor_bill_run_8436']['tmp_bill_tmp_bill_id']
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, '__ts')
return And((tmp_bill__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_bill_run_8436']['now']
__ts = argv['Op_Doctor_bill_run_8436']['__ts']
id = argv['Op_Doctor_bill_run_8436']['id']
tmp_bill_tmp_bill_id = argv['Op_Doctor_bill_run_8436']['tmp_bill_tmp_bill_id']
tmp_bill_tmp_bill_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'tmp_bill_id')
tmp_bill_doctor_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'doctor_fee')
tmp_bill_hospital_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'hospital_fee')
tmp_bill_pharmacy_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'pharmacy_fee')
tmp_bill_laboratory_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'laboratory_fee')
tmp_bill_appointment_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'appointment_fee')
tmp_bill_vat = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'vat')
tmp_bill_discount = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'discount')
tmp_bill_consultant_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'consultant_id')
tmp_bill_patient_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, 'patient_id')
tmp_bill_laboratory_fee = 100
state['TABLE_tmp_bill'].update({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Doctor_bill_run_8436']['id']}, 'tmp_bill_id')}, {'tmp_bill_id': tmp_bill_tmp_bill_id, 'doctor_fee': tmp_bill_doctor_fee, 'hospital_fee': tmp_bill_hospital_fee, 'pharmacy_fee': tmp_bill_pharmacy_fee, 'laboratory_fee': tmp_bill_laboratory_fee, 'appointment_fee': tmp_bill_appointment_fee, 'vat': tmp_bill_vat, 'discount': tmp_bill_discount, 'consultant_id': tmp_bill_consultant_id, 'patient_id': tmp_bill_patient_id, '__ts': now})
return state
class Op_LabAssistant_BloodGroupingTest_run_8437():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_BloodGroupingTest_run_8437', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['__ts']
newTstId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']
appId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['appId']
bloodGroup = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['bloodGroup']
rh = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['rh']
now = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
return (state['TABLE_BloodGroupingRh'].notNil({'tst_bloodG_id': argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
__ts = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['__ts']
newTstId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']
appId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['appId']
bloodGroup = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['bloodGroup']
rh = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['rh']
now = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
BloodGroupingRh_tst_bloodG_id = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']
BloodGroupingRh_appointment_id = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['appId']
BloodGroupingRh_bloodGroup = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['bloodGroup']
BloodGroupingRh_rhesusD = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['rh']
BloodGroupingRh_date = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
BloodGroupingRh__ts = state['TABLE_BloodGroupingRh'].get({'tst_bloodG_id': BloodGroupingRh_tst_bloodG_id}, '__ts')
return And((BloodGroupingRh__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
__ts = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['__ts']
newTstId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']
appId = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['appId']
bloodGroup = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['bloodGroup']
rh = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['rh']
now = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
BloodGroupingRh_tst_bloodG_id = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['newTstId']
BloodGroupingRh_appointment_id = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['appId']
BloodGroupingRh_bloodGroup = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['bloodGroup']
BloodGroupingRh_rhesusD = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['rh']
BloodGroupingRh_date = argv['Op_LabAssistant_BloodGroupingTest_run_8437']['now']
state['TABLE_BloodGroupingRh'].add({'tst_bloodG_id': BloodGroupingRh_tst_bloodG_id}, {'appointment_id': BloodGroupingRh_appointment_id,'bloodGroup': BloodGroupingRh_bloodGroup,'rhesusD': BloodGroupingRh_rhesusD,'date': BloodGroupingRh_date, '__ts': now})
return state
class Op_Doctor_prescribe_run_8438():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Doctor_prescribe_run_8438', 'newPrescId'))
def cond0(self, state, argv):
__ts = argv['Op_Doctor_prescribe_run_8438']['__ts']
newPrescId = argv['Op_Doctor_prescribe_run_8438']['newPrescId']
patientId = argv['Op_Doctor_prescribe_run_8438']['patientId']
consultantId = argv['Op_Doctor_prescribe_run_8438']['consultantId']
date = argv['Op_Doctor_prescribe_run_8438']['date']
drugDose = argv['Op_Doctor_prescribe_run_8438']['drugDose']
tests = argv['Op_Doctor_prescribe_run_8438']['tests']
return (state['TABLE_prescription'].notNil({'prescription_id': argv['Op_Doctor_prescribe_run_8438']['newPrescId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Doctor_prescribe_run_8438']['now']
__ts = argv['Op_Doctor_prescribe_run_8438']['__ts']
newPrescId = argv['Op_Doctor_prescribe_run_8438']['newPrescId']
patientId = argv['Op_Doctor_prescribe_run_8438']['patientId']
consultantId = argv['Op_Doctor_prescribe_run_8438']['consultantId']
date = argv['Op_Doctor_prescribe_run_8438']['date']
drugDose = argv['Op_Doctor_prescribe_run_8438']['drugDose']
tests = argv['Op_Doctor_prescribe_run_8438']['tests']
prescription_prescription_id = argv['Op_Doctor_prescribe_run_8438']['newPrescId']
prescription_patient_id = argv['Op_Doctor_prescribe_run_8438']['patientId']
prescription_consultant_id = argv['Op_Doctor_prescribe_run_8438']['consultantId']
prescription_date = argv['Op_Doctor_prescribe_run_8438']['date']
prescription_drugs_dose = argv['Op_Doctor_prescribe_run_8438']['drugDose']
prescription_tests = argv['Op_Doctor_prescribe_run_8438']['tests']
prescription__ts = state['TABLE_prescription'].get({'prescription_id': prescription_prescription_id}, '__ts')
return And((prescription__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_prescribe_run_8438']['now']
__ts = argv['Op_Doctor_prescribe_run_8438']['__ts']
newPrescId = argv['Op_Doctor_prescribe_run_8438']['newPrescId']
patientId = argv['Op_Doctor_prescribe_run_8438']['patientId']
consultantId = argv['Op_Doctor_prescribe_run_8438']['consultantId']
date = argv['Op_Doctor_prescribe_run_8438']['date']
drugDose = argv['Op_Doctor_prescribe_run_8438']['drugDose']
tests = argv['Op_Doctor_prescribe_run_8438']['tests']
prescription_prescription_id = argv['Op_Doctor_prescribe_run_8438']['newPrescId']
prescription_patient_id = argv['Op_Doctor_prescribe_run_8438']['patientId']
prescription_consultant_id = argv['Op_Doctor_prescribe_run_8438']['consultantId']
prescription_date = argv['Op_Doctor_prescribe_run_8438']['date']
prescription_drugs_dose = argv['Op_Doctor_prescribe_run_8438']['drugDose']
prescription_tests = argv['Op_Doctor_prescribe_run_8438']['tests']
state['TABLE_prescription'].add({'prescription_id': prescription_prescription_id}, {'patient_id': prescription_patient_id,'consultant_id': prescription_consultant_id,'date': prescription_date,'drugs_dose': prescription_drugs_dose,'tests': prescription_tests, '__ts': now})
return state
class Op_Receptionist_setPatientInfo_run_8439():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_setPatientInfo_run_8439', 'newPersonId'), AxiomUniqueArgument('Op_Receptionist_setPatientInfo_run_8439', 'newPatientId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
patientInfo = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
return And((state['TABLE_person'].notNil({'person_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']}) == False),(state['TABLE_patient'].notNil({'patient_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']}) == False),Not((state['TABLE_person'].notNil({'person_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']}) == False)),Not((state['TABLE_patient'].notNil({'patient_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']}) == False)))
def csop0(self, state, argv):
now = argv['Op_Receptionist_setPatientInfo_run_8439']['now']
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
person_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
person_nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
person_gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
person_date_of_birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
person_address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
person_mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
person_first_name = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
person_last_name = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
person_email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
person_nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
person_religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_setPatientInfo_run_8439']['now']
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
person_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
person_user_id = StringVal('')
person_nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
person_gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
person_date_of_birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
person_address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
person_mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
person_first_name = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
person_last_name = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
person_email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
person_nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
person_religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
state['TABLE_person'].add({'person_id': person_person_id}, {'user_id': person_user_id,'nic': person_nic,'gender': person_gender,'date_of_birth': person_date_of_birth,'address': person_address,'mobile': person_mobile,'first_name': person_first_name,'last_name': person_last_name,'email': person_email,'nationality': person_nationality,'religion': person_religion, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
patientInfo = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
return And((state['TABLE_person'].notNil({'person_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']}) == False),(state['TABLE_patient'].notNil({'patient_id': argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']}) == False))
def csop1(self, state, argv):
now = argv['Op_Receptionist_setPatientInfo_run_8439']['now']
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
patientInfo = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
person_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
person_nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
person_gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
person_date_of_birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
person_address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
person_mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
person_first_name = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
person_last_name = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
person_email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
person_nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
person_religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
person__ts = state['TABLE_person'].get({'person_id': person_person_id}, '__ts')
patient_patient_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
patient_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
patient_drug_allergies_and_reactions = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
patient__ts = state['TABLE_patient'].get({'patient_id': patient_patient_id}, '__ts')
return And((person__ts < now), (patient__ts < now))
def sop1(self, state, argv):
now = argv['Op_Receptionist_setPatientInfo_run_8439']['now']
__ts = argv['Op_Receptionist_setPatientInfo_run_8439']['__ts']
newPersonId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
newPatientId = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
firstName = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
lastName = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
patientInfo = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
person_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
person_user_id = StringVal('')
person_nic = argv['Op_Receptionist_setPatientInfo_run_8439']['nic']
person_gender = argv['Op_Receptionist_setPatientInfo_run_8439']['gender']
person_date_of_birth = argv['Op_Receptionist_setPatientInfo_run_8439']['birth']
person_address = argv['Op_Receptionist_setPatientInfo_run_8439']['address']
person_mobile = argv['Op_Receptionist_setPatientInfo_run_8439']['mobile']
person_first_name = argv['Op_Receptionist_setPatientInfo_run_8439']['firstName']
person_last_name = argv['Op_Receptionist_setPatientInfo_run_8439']['lastName']
person_email = argv['Op_Receptionist_setPatientInfo_run_8439']['email']
person_nationality = argv['Op_Receptionist_setPatientInfo_run_8439']['nationality']
person_religion = argv['Op_Receptionist_setPatientInfo_run_8439']['religion']
state['TABLE_person'].add({'person_id': person_person_id}, {'user_id': person_user_id,'nic': person_nic,'gender': person_gender,'date_of_birth': person_date_of_birth,'address': person_address,'mobile': person_mobile,'first_name': person_first_name,'last_name': person_last_name,'email': person_email,'nationality': person_nationality,'religion': person_religion, '__ts': now})
patient_patient_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPatientId']
patient_person_id = argv['Op_Receptionist_setPatientInfo_run_8439']['newPersonId']
patient_drug_allergies_and_reactions = argv['Op_Receptionist_setPatientInfo_run_8439']['patientInfo']
state['TABLE_patient'].add({'patient_id': patient_patient_id}, {'person_id': patient_person_id,'drug_allergies_and_reactions': patient_drug_allergies_and_reactions, '__ts': now})
return state
class Op_LabAssistant_RenalFunctionTest_run_8440():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_RenalFunctionTest_run_8440', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['__ts']
newTstId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']
appId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['appId']
creatinine = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['creatinine']
urea = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['urea']
totalBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['totalBilirubin']
directBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['directBilirubin']
sgotast = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgotast']
sgptalt = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['alkalinePhospates']
now = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
return (state['TABLE_RenalFunctionTest'].notNil({'tst_renal_id': argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
__ts = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['__ts']
newTstId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']
appId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['appId']
creatinine = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['creatinine']
urea = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['urea']
totalBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['totalBilirubin']
directBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['directBilirubin']
sgotast = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgotast']
sgptalt = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['alkalinePhospates']
now = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
RenalFunctionTest_tst_renal_id = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']
RenalFunctionTest_appointment_id = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['appId']
RenalFunctionTest_creatinine = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['creatinine']
RenalFunctionTest_urea = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['urea']
RenalFunctionTest_totalBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['totalBilirubin']
RenalFunctionTest_directBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['directBilirubin']
RenalFunctionTest_sgotast = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgotast']
RenalFunctionTest_sgptalt = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgptalt']
RenalFunctionTest_alkalinePhospates = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['alkalinePhospates']
RenalFunctionTest_date = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
RenalFunctionTest__ts = state['TABLE_RenalFunctionTest'].get({'tst_renal_id': RenalFunctionTest_tst_renal_id}, '__ts')
return And((RenalFunctionTest__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
__ts = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['__ts']
newTstId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']
appId = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['appId']
creatinine = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['creatinine']
urea = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['urea']
totalBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['totalBilirubin']
directBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['directBilirubin']
sgotast = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgotast']
sgptalt = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['alkalinePhospates']
now = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
RenalFunctionTest_tst_renal_id = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['newTstId']
RenalFunctionTest_appointment_id = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['appId']
RenalFunctionTest_creatinine = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['creatinine']
RenalFunctionTest_urea = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['urea']
RenalFunctionTest_totalBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['totalBilirubin']
RenalFunctionTest_directBilirubin = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['directBilirubin']
RenalFunctionTest_sgotast = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgotast']
RenalFunctionTest_sgptalt = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['sgptalt']
RenalFunctionTest_alkalinePhospates = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['alkalinePhospates']
RenalFunctionTest_date = argv['Op_LabAssistant_RenalFunctionTest_run_8440']['now']
state['TABLE_RenalFunctionTest'].add({'tst_renal_id': RenalFunctionTest_tst_renal_id}, {'appointment_id': RenalFunctionTest_appointment_id,'creatinine': RenalFunctionTest_creatinine,'urea': RenalFunctionTest_urea,'totalBilirubin': RenalFunctionTest_totalBilirubin,'directBilirubin': RenalFunctionTest_directBilirubin,'sgotast': RenalFunctionTest_sgotast,'sgptalt': RenalFunctionTest_sgptalt,'alkalinePhospates': RenalFunctionTest_alkalinePhospates,'date': RenalFunctionTest_date, '__ts': now})
return state
class Op_Admin_updateProfileInfo_run_8441():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Admin_updateProfileInfo_run_8441']['__ts']
id = argv['Op_Admin_updateProfileInfo_run_8441']['id']
sys_user_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['sys_user_person_id']
person_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['person_person_id']
return And((state['TABLE_sys_user'].notNil({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}) == True),(state['TABLE_person'].notNil({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Admin_updateProfileInfo_run_8441']['now']
__ts = argv['Op_Admin_updateProfileInfo_run_8441']['__ts']
id = argv['Op_Admin_updateProfileInfo_run_8441']['id']
sys_user_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['sys_user_person_id']
person_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['person_person_id']
person__ts = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_updateProfileInfo_run_8441']['now']
__ts = argv['Op_Admin_updateProfileInfo_run_8441']['__ts']
id = argv['Op_Admin_updateProfileInfo_run_8441']['id']
sys_user_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['sys_user_person_id']
person_person_id = argv['Op_Admin_updateProfileInfo_run_8441']['person_person_id']
person_person_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'person_id')
person_user_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'user_id')
person_nic = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'nic')
person_gender = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'gender')
person_date_of_birth = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'date_of_birth')
person_address = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'address')
person_mobile = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'mobile')
person_first_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'first_name')
person_last_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'last_name')
person_email = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'email')
person_nationality = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'nationality')
person_religion = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, 'religion')
person_address = argv['Op_Admin_updateProfileInfo_run_8441']['id']
state['TABLE_person'].update({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateProfileInfo_run_8441']['id']}, 'person_id')}, {'person_id': person_person_id, 'user_id': person_user_id, 'nic': person_nic, 'gender': person_gender, 'date_of_birth': person_date_of_birth, 'address': person_address, 'mobile': person_mobile, 'first_name': person_first_name, 'last_name': person_last_name, 'email': person_email, 'nationality': person_nationality, 'religion': person_religion, '__ts': now})
return state
class Op_Admin_resetPassword_run_8442():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Admin_resetPassword_run_8442']['__ts']
id = argv['Op_Admin_resetPassword_run_8442']['id']
sys_user_user_id = argv['Op_Admin_resetPassword_run_8442']['sys_user_user_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Admin_resetPassword_run_8442']['now']
__ts = argv['Op_Admin_resetPassword_run_8442']['__ts']
id = argv['Op_Admin_resetPassword_run_8442']['id']
sys_user_user_id = argv['Op_Admin_resetPassword_run_8442']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_resetPassword_run_8442']['now']
__ts = argv['Op_Admin_resetPassword_run_8442']['__ts']
id = argv['Op_Admin_resetPassword_run_8442']['id']
sys_user_user_id = argv['Op_Admin_resetPassword_run_8442']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, 'suspend')
sys_user_password = StringVal('123456')
state['TABLE_sys_user'].update({'user_id': argv['Op_Admin_resetPassword_run_8442']['id']}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Receptionist_refund_run_8443():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_refund_run_8443', 'newRefundId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_refund_run_8443']['__ts']
newRefundId = argv['Op_Receptionist_refund_run_8443']['newRefundId']
billId = argv['Op_Receptionist_refund_run_8443']['billId']
paymentType = argv['Op_Receptionist_refund_run_8443']['paymentType']
reason = argv['Op_Receptionist_refund_run_8443']['reason']
amount = argv['Op_Receptionist_refund_run_8443']['amount']
now = argv['Op_Receptionist_refund_run_8443']['now']
return (state['TABLE_refund'].notNil({'refund_id': argv['Op_Receptionist_refund_run_8443']['newRefundId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Receptionist_refund_run_8443']['now']
__ts = argv['Op_Receptionist_refund_run_8443']['__ts']
newRefundId = argv['Op_Receptionist_refund_run_8443']['newRefundId']
billId = argv['Op_Receptionist_refund_run_8443']['billId']
paymentType = argv['Op_Receptionist_refund_run_8443']['paymentType']
reason = argv['Op_Receptionist_refund_run_8443']['reason']
amount = argv['Op_Receptionist_refund_run_8443']['amount']
now = argv['Op_Receptionist_refund_run_8443']['now']
refund_refund_id = argv['Op_Receptionist_refund_run_8443']['newRefundId']
refund_bill_id = argv['Op_Receptionist_refund_run_8443']['billId']
refund_payment_type = argv['Op_Receptionist_refund_run_8443']['paymentType']
refund_reason = argv['Op_Receptionist_refund_run_8443']['reason']
refund_amount = argv['Op_Receptionist_refund_run_8443']['amount']
refund_date = argv['Op_Receptionist_refund_run_8443']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
return And((refund__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_refund_run_8443']['now']
__ts = argv['Op_Receptionist_refund_run_8443']['__ts']
newRefundId = argv['Op_Receptionist_refund_run_8443']['newRefundId']
billId = argv['Op_Receptionist_refund_run_8443']['billId']
paymentType = argv['Op_Receptionist_refund_run_8443']['paymentType']
reason = argv['Op_Receptionist_refund_run_8443']['reason']
amount = argv['Op_Receptionist_refund_run_8443']['amount']
now = argv['Op_Receptionist_refund_run_8443']['now']
refund_refund_id = argv['Op_Receptionist_refund_run_8443']['newRefundId']
refund_bill_id = argv['Op_Receptionist_refund_run_8443']['billId']
refund_payment_type = argv['Op_Receptionist_refund_run_8443']['paymentType']
refund_reason = argv['Op_Receptionist_refund_run_8443']['reason']
refund_amount = argv['Op_Receptionist_refund_run_8443']['amount']
refund_date = argv['Op_Receptionist_refund_run_8443']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
return state
class Op_Admin_unsuspendUser_run_8444():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Admin_unsuspendUser_run_8444']['__ts']
id = argv['Op_Admin_unsuspendUser_run_8444']['id']
sys_user_user_id = argv['Op_Admin_unsuspendUser_run_8444']['sys_user_user_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Admin_unsuspendUser_run_8444']['now']
__ts = argv['Op_Admin_unsuspendUser_run_8444']['__ts']
id = argv['Op_Admin_unsuspendUser_run_8444']['id']
sys_user_user_id = argv['Op_Admin_unsuspendUser_run_8444']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_unsuspendUser_run_8444']['now']
__ts = argv['Op_Admin_unsuspendUser_run_8444']['__ts']
id = argv['Op_Admin_unsuspendUser_run_8444']['id']
sys_user_user_id = argv['Op_Admin_unsuspendUser_run_8444']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, 'suspend')
sys_user_suspend = 0
state['TABLE_sys_user'].update({'user_id': argv['Op_Admin_unsuspendUser_run_8444']['id']}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Receptionist_makeLabAppointment_run_8445():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1), (self.cond2, self.csop2, self.sop2)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_makeLabAppointment_run_8445', 'newAppId'), AxiomUniqueArgument('Op_Receptionist_makeLabAppointment_run_8445', 'newTmpBillId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['tmp_bill_tmp_bill_id']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
newTmpBillId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']}) == False),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']}) == False)),Not((state['TABLE_lab_test'].notNil({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}) == True)),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']}) == False)),Not((state['TABLE_lab_test'].notNil({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}) == False)))
def csop0(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': lab_appointment_lab_appointment_id}, '__ts')
return And((lab_appointment__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
state['TABLE_lab_appointment'].add({'lab_appointment_id': lab_appointment_lab_appointment_id}, {'test_id': lab_appointment_test_id,'patient_id': lab_appointment_patient_id,'doctor_id': lab_appointment_doctor_id,'date': lab_appointment_date,'cancelled': lab_appointment_cancelled, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['tmp_bill_tmp_bill_id']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']}) == False),(state['TABLE_lab_test'].notNil({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}) == True),(state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}) == True))
def csop1(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['tmp_bill_tmp_bill_id']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': lab_appointment_lab_appointment_id}, '__ts')
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, '__ts')
return And((lab_appointment__ts < now), (tmp_bill__ts < now))
def sop1(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['tmp_bill_tmp_bill_id']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
state['TABLE_lab_appointment'].add({'lab_appointment_id': lab_appointment_lab_appointment_id}, {'test_id': lab_appointment_test_id,'patient_id': lab_appointment_patient_id,'doctor_id': lab_appointment_doctor_id,'date': lab_appointment_date,'cancelled': lab_appointment_cancelled, '__ts': now})
tmp_bill_tmp_bill_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'tmp_bill_id')
tmp_bill_doctor_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'doctor_fee')
tmp_bill_hospital_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'hospital_fee')
tmp_bill_pharmacy_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'pharmacy_fee')
tmp_bill_laboratory_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'laboratory_fee')
tmp_bill_appointment_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'appointment_fee')
tmp_bill_vat = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'vat')
tmp_bill_discount = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'discount')
tmp_bill_consultant_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'consultant_id')
tmp_bill_patient_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, 'patient_id')
tmp_bill_laboratory_fee = state['TABLE_lab_test'].get({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}, 'test_fee')
state['TABLE_tmp_bill'].update({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}, 'tmp_bill_id')}, {'tmp_bill_id': tmp_bill_tmp_bill_id, 'doctor_fee': tmp_bill_doctor_fee, 'hospital_fee': tmp_bill_hospital_fee, 'pharmacy_fee': tmp_bill_pharmacy_fee, 'laboratory_fee': tmp_bill_laboratory_fee, 'appointment_fee': tmp_bill_appointment_fee, 'vat': tmp_bill_vat, 'discount': tmp_bill_discount, 'consultant_id': tmp_bill_consultant_id, 'patient_id': tmp_bill_patient_id, '__ts': now})
return state
def cond2(self, state, argv):
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
newTmpBillId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']}) == False),(state['TABLE_lab_test'].notNil({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']}) == False))
def csop2(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
newTmpBillId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': lab_appointment_lab_appointment_id}, '__ts')
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
tmp_bill_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
tmp_bill_laboratory_fee = state['TABLE_lab_test'].get({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}, 'test_fee')
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': tmp_bill_tmp_bill_id}, '__ts')
return And((lab_appointment__ts < now), (tmp_bill__ts < now))
def sop2(self, state, argv):
now = argv['Op_Receptionist_makeLabAppointment_run_8445']['now']
__ts = argv['Op_Receptionist_makeLabAppointment_run_8445']['__ts']
newAppId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
testId = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
patientId = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
doctorId = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
currentDate = argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate']
day = argv['Op_Receptionist_makeLabAppointment_run_8445']['day']
lab_test_test_fee = argv['Op_Receptionist_makeLabAppointment_run_8445']['lab_test_test_fee']
newTmpBillId = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newAppId']
lab_appointment_test_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']
lab_appointment_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
lab_appointment_doctor_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['doctorId']
lab_appointment_date = (argv['Op_Receptionist_makeLabAppointment_run_8445']['currentDate'])+(argv['Op_Receptionist_makeLabAppointment_run_8445']['day'])
lab_appointment_cancelled = False
state['TABLE_lab_appointment'].add({'lab_appointment_id': lab_appointment_lab_appointment_id}, {'test_id': lab_appointment_test_id,'patient_id': lab_appointment_patient_id,'doctor_id': lab_appointment_doctor_id,'date': lab_appointment_date,'cancelled': lab_appointment_cancelled, '__ts': now})
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['newTmpBillId']
tmp_bill_patient_id = argv['Op_Receptionist_makeLabAppointment_run_8445']['patientId']
tmp_bill_laboratory_fee = state['TABLE_lab_test'].get({'test_id': argv['Op_Receptionist_makeLabAppointment_run_8445']['testId']}, 'test_fee')
state['TABLE_tmp_bill'].add({'tmp_bill_id': tmp_bill_tmp_bill_id}, {'patient_id': tmp_bill_patient_id,'laboratory_fee': tmp_bill_laboratory_fee, '__ts': now})
return state
class Op_LabAssistant_LipidTest_run_8446():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_LipidTest_run_8446', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_LipidTest_run_8446']['__ts']
newTstId = argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']
appId = argv['Op_LabAssistant_LipidTest_run_8446']['appId']
cholestrolHDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolHDL']
cholestrolLDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolLDL']
triglycerides = argv['Op_LabAssistant_LipidTest_run_8446']['triglycerides']
totalCholestrolLDLHDLratio = argv['Op_LabAssistant_LipidTest_run_8446']['totalCholestrolLDLHDLratio']
now = argv['Op_LabAssistant_LipidTest_run_8446']['now']
return (state['TABLE_LipidTest'].notNil({'tst_li_id': argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_LipidTest_run_8446']['now']
__ts = argv['Op_LabAssistant_LipidTest_run_8446']['__ts']
newTstId = argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']
appId = argv['Op_LabAssistant_LipidTest_run_8446']['appId']
cholestrolHDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolHDL']
cholestrolLDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolLDL']
triglycerides = argv['Op_LabAssistant_LipidTest_run_8446']['triglycerides']
totalCholestrolLDLHDLratio = argv['Op_LabAssistant_LipidTest_run_8446']['totalCholestrolLDLHDLratio']
now = argv['Op_LabAssistant_LipidTest_run_8446']['now']
LipidTest_tst_li_id = argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']
LipidTest_appointment_id = argv['Op_LabAssistant_LipidTest_run_8446']['appId']
LipidTest_cholestrolHDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolHDL']
LipidTest_cholestrolLDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolLDL']
LipidTest_triglycerides = argv['Op_LabAssistant_LipidTest_run_8446']['triglycerides']
LipidTest_totalCholestrolLDLHDLratio = argv['Op_LabAssistant_LipidTest_run_8446']['totalCholestrolLDLHDLratio']
LipidTest_date = argv['Op_LabAssistant_LipidTest_run_8446']['now']
LipidTest__ts = state['TABLE_LipidTest'].get({'tst_li_id': LipidTest_tst_li_id}, '__ts')
return And((LipidTest__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_LipidTest_run_8446']['now']
__ts = argv['Op_LabAssistant_LipidTest_run_8446']['__ts']
newTstId = argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']
appId = argv['Op_LabAssistant_LipidTest_run_8446']['appId']
cholestrolHDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolHDL']
cholestrolLDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolLDL']
triglycerides = argv['Op_LabAssistant_LipidTest_run_8446']['triglycerides']
totalCholestrolLDLHDLratio = argv['Op_LabAssistant_LipidTest_run_8446']['totalCholestrolLDLHDLratio']
now = argv['Op_LabAssistant_LipidTest_run_8446']['now']
LipidTest_tst_li_id = argv['Op_LabAssistant_LipidTest_run_8446']['newTstId']
LipidTest_appointment_id = argv['Op_LabAssistant_LipidTest_run_8446']['appId']
LipidTest_cholestrolHDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolHDL']
LipidTest_cholestrolLDL = argv['Op_LabAssistant_LipidTest_run_8446']['cholestrolLDL']
LipidTest_triglycerides = argv['Op_LabAssistant_LipidTest_run_8446']['triglycerides']
LipidTest_totalCholestrolLDLHDLratio = argv['Op_LabAssistant_LipidTest_run_8446']['totalCholestrolLDLHDLratio']
LipidTest_date = argv['Op_LabAssistant_LipidTest_run_8446']['now']
state['TABLE_LipidTest'].add({'tst_li_id': LipidTest_tst_li_id}, {'appointment_id': LipidTest_appointment_id,'cholestrolHDL': LipidTest_cholestrolHDL,'cholestrolLDL': LipidTest_cholestrolLDL,'triglycerides': LipidTest_triglycerides,'totalCholestrolLDLHDLratio': LipidTest_totalCholestrolLDLHDLratio,'date': LipidTest_date, '__ts': now})
return state
class Op_Doctor_updateAccountInfo_run_8447():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_updateAccountInfo_run_8447']['__ts']
id = argv['Op_Doctor_updateAccountInfo_run_8447']['id']
doctor_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['doctor_user_id']
sys_user_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['sys_user_user_id']
return And((state['TABLE_doctor'].notNil({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}) == True),(state['TABLE_sys_user'].notNil({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_Doctor_updateAccountInfo_run_8447']['now']
__ts = argv['Op_Doctor_updateAccountInfo_run_8447']['__ts']
id = argv['Op_Doctor_updateAccountInfo_run_8447']['id']
doctor_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['doctor_user_id']
sys_user_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Doctor_updateAccountInfo_run_8447']['now']
__ts = argv['Op_Doctor_updateAccountInfo_run_8447']['__ts']
id = argv['Op_Doctor_updateAccountInfo_run_8447']['id']
doctor_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['doctor_user_id']
sys_user_user_id = argv['Op_Doctor_updateAccountInfo_run_8447']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, 'suspend')
sys_user_other_info = argv['Op_Doctor_updateAccountInfo_run_8447']['id']
state['TABLE_sys_user'].update({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_Doctor_updateAccountInfo_run_8447']['id']}, 'user_id')}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_LabAssistant_completeBloodCount_run_8448():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_completeBloodCount_run_8448', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_completeBloodCount_run_8448']['__ts']
newTstId = argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']
appId = argv['Op_LabAssistant_completeBloodCount_run_8448']['appId']
totalWhiteCellCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['totalWhiteCellCount']
differentialCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['differentialCount']
neutrophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['neutrophils']
lymphocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['lymphocytes']
monocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['monocytes']
eosonophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['eosonophils']
basophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['basophils']
haemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['haemoglobin']
redBloodCells = argv['Op_LabAssistant_completeBloodCount_run_8448']['redBloodCells']
meanCellVolume = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellVolume']
haematocrit = argv['Op_LabAssistant_completeBloodCount_run_8448']['haematocrit']
meanCellHaemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellHaemoglobin']
mchConcentration = argv['Op_LabAssistant_completeBloodCount_run_8448']['mchConcentration']
redCellsDistributionWidth = argv['Op_LabAssistant_completeBloodCount_run_8448']['redCellsDistributionWidth']
plateletCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['plateletCount']
now = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
return (state['TABLE_completeBloodCount'].notNil({'tst_CBC_id': argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
__ts = argv['Op_LabAssistant_completeBloodCount_run_8448']['__ts']
newTstId = argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']
appId = argv['Op_LabAssistant_completeBloodCount_run_8448']['appId']
totalWhiteCellCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['totalWhiteCellCount']
differentialCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['differentialCount']
neutrophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['neutrophils']
lymphocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['lymphocytes']
monocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['monocytes']
eosonophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['eosonophils']
basophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['basophils']
haemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['haemoglobin']
redBloodCells = argv['Op_LabAssistant_completeBloodCount_run_8448']['redBloodCells']
meanCellVolume = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellVolume']
haematocrit = argv['Op_LabAssistant_completeBloodCount_run_8448']['haematocrit']
meanCellHaemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellHaemoglobin']
mchConcentration = argv['Op_LabAssistant_completeBloodCount_run_8448']['mchConcentration']
redCellsDistributionWidth = argv['Op_LabAssistant_completeBloodCount_run_8448']['redCellsDistributionWidth']
plateletCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['plateletCount']
now = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
completeBloodCount_tst_CBC_id = argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']
completeBloodCount_appointment_id = argv['Op_LabAssistant_completeBloodCount_run_8448']['appId']
completeBloodCount_totalWhiteCellCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['totalWhiteCellCount']
completeBloodCount_differentialCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['differentialCount']
completeBloodCount_neutrophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['neutrophils']
completeBloodCount_lymphocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['lymphocytes']
completeBloodCount_monocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['monocytes']
completeBloodCount_eosonophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['eosonophils']
completeBloodCount_basophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['basophils']
completeBloodCount_haemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['haemoglobin']
completeBloodCount_redBloodCells = argv['Op_LabAssistant_completeBloodCount_run_8448']['redBloodCells']
completeBloodCount_meanCellVolume = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellVolume']
completeBloodCount_haematocrit = argv['Op_LabAssistant_completeBloodCount_run_8448']['haematocrit']
completeBloodCount_meanCellHaemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellHaemoglobin']
completeBloodCount_mchConcentration = argv['Op_LabAssistant_completeBloodCount_run_8448']['mchConcentration']
completeBloodCount_redCellsDistributionWidth = argv['Op_LabAssistant_completeBloodCount_run_8448']['redCellsDistributionWidth']
completeBloodCount_plateletCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['plateletCount']
completeBloodCount_date = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
completeBloodCount__ts = state['TABLE_completeBloodCount'].get({'tst_CBC_id': completeBloodCount_tst_CBC_id}, '__ts')
return And((completeBloodCount__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
__ts = argv['Op_LabAssistant_completeBloodCount_run_8448']['__ts']
newTstId = argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']
appId = argv['Op_LabAssistant_completeBloodCount_run_8448']['appId']
totalWhiteCellCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['totalWhiteCellCount']
differentialCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['differentialCount']
neutrophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['neutrophils']
lymphocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['lymphocytes']
monocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['monocytes']
eosonophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['eosonophils']
basophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['basophils']
haemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['haemoglobin']
redBloodCells = argv['Op_LabAssistant_completeBloodCount_run_8448']['redBloodCells']
meanCellVolume = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellVolume']
haematocrit = argv['Op_LabAssistant_completeBloodCount_run_8448']['haematocrit']
meanCellHaemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellHaemoglobin']
mchConcentration = argv['Op_LabAssistant_completeBloodCount_run_8448']['mchConcentration']
redCellsDistributionWidth = argv['Op_LabAssistant_completeBloodCount_run_8448']['redCellsDistributionWidth']
plateletCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['plateletCount']
now = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
completeBloodCount_tst_CBC_id = argv['Op_LabAssistant_completeBloodCount_run_8448']['newTstId']
completeBloodCount_appointment_id = argv['Op_LabAssistant_completeBloodCount_run_8448']['appId']
completeBloodCount_totalWhiteCellCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['totalWhiteCellCount']
completeBloodCount_differentialCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['differentialCount']
completeBloodCount_neutrophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['neutrophils']
completeBloodCount_lymphocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['lymphocytes']
completeBloodCount_monocytes = argv['Op_LabAssistant_completeBloodCount_run_8448']['monocytes']
completeBloodCount_eosonophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['eosonophils']
completeBloodCount_basophils = argv['Op_LabAssistant_completeBloodCount_run_8448']['basophils']
completeBloodCount_haemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['haemoglobin']
completeBloodCount_redBloodCells = argv['Op_LabAssistant_completeBloodCount_run_8448']['redBloodCells']
completeBloodCount_meanCellVolume = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellVolume']
completeBloodCount_haematocrit = argv['Op_LabAssistant_completeBloodCount_run_8448']['haematocrit']
completeBloodCount_meanCellHaemoglobin = argv['Op_LabAssistant_completeBloodCount_run_8448']['meanCellHaemoglobin']
completeBloodCount_mchConcentration = argv['Op_LabAssistant_completeBloodCount_run_8448']['mchConcentration']
completeBloodCount_redCellsDistributionWidth = argv['Op_LabAssistant_completeBloodCount_run_8448']['redCellsDistributionWidth']
completeBloodCount_plateletCount = argv['Op_LabAssistant_completeBloodCount_run_8448']['plateletCount']
completeBloodCount_date = argv['Op_LabAssistant_completeBloodCount_run_8448']['now']
state['TABLE_completeBloodCount'].add({'tst_CBC_id': completeBloodCount_tst_CBC_id}, {'appointment_id': completeBloodCount_appointment_id,'totalWhiteCellCount': completeBloodCount_totalWhiteCellCount,'differentialCount': completeBloodCount_differentialCount,'neutrophils': completeBloodCount_neutrophils,'lymphocytes': completeBloodCount_lymphocytes,'monocytes': completeBloodCount_monocytes,'eosonophils': completeBloodCount_eosonophils,'basophils': completeBloodCount_basophils,'haemoglobin': completeBloodCount_haemoglobin,'redBloodCells': completeBloodCount_redBloodCells,'meanCellVolume': completeBloodCount_meanCellVolume,'haematocrit': completeBloodCount_haematocrit,'meanCellHaemoglobin': completeBloodCount_meanCellHaemoglobin,'mchConcentration': completeBloodCount_mchConcentration,'redCellsDistributionWidth': completeBloodCount_redCellsDistributionWidth,'plateletCount': completeBloodCount_plateletCount,'date': completeBloodCount_date, '__ts': now})
return state
class Op_Receptionist_makeAppointment_run_8449():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1), (self.cond2, self.csop2, self.sop2), (self.cond3, self.csop3, self.sop3), (self.cond4, self.csop4, self.sop4), (self.cond5, self.csop5, self.sop5), (self.cond6, self.csop6, self.sop6)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_makeAppointment_run_8449', 'newAppId'), AxiomUniqueArgument('Op_Receptionist_makeAppointment_run_8449', 'newTmpBillId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False)))
def csop0(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
return And((appointment__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False)))
def csop1(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now))
def sop1(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_current_week_appointments = (doctor_availability_current_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
return state
def cond2(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True)),Not((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False)),Not((argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631)),Not((state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True)),Not((state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False)))
def csop2(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now))
def sop2(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_next_week_appointments = (doctor_availability_next_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
return state
def cond3(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True),(state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True))
def csop3(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now), (tmp_bill__ts < now))
def sop3(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_current_week_appointments = (doctor_availability_current_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
tmp_bill_tmp_bill_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'tmp_bill_id')
tmp_bill_doctor_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'doctor_fee')
tmp_bill_hospital_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'hospital_fee')
tmp_bill_pharmacy_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'pharmacy_fee')
tmp_bill_laboratory_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'laboratory_fee')
tmp_bill_appointment_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'appointment_fee')
tmp_bill_vat = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'vat')
tmp_bill_discount = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'discount')
tmp_bill_consultant_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'consultant_id')
tmp_bill_patient_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'patient_id')
tmp_bill_appointment_fee = 500
state['TABLE_tmp_bill'].update({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, {'tmp_bill_id': tmp_bill_tmp_bill_id, 'doctor_fee': tmp_bill_doctor_fee, 'hospital_fee': tmp_bill_hospital_fee, 'pharmacy_fee': tmp_bill_pharmacy_fee, 'laboratory_fee': tmp_bill_laboratory_fee, 'appointment_fee': tmp_bill_appointment_fee, 'vat': tmp_bill_vat, 'discount': tmp_bill_discount, 'consultant_id': tmp_bill_consultant_id, 'patient_id': tmp_bill_patient_id, '__ts': now})
return state
def cond4(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == True),(state['TABLE_tmp_bill'].notNil({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}) == True))
def csop4(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now), (tmp_bill__ts < now))
def sop4(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['tmp_bill_tmp_bill_id']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_next_week_appointments = (doctor_availability_next_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
tmp_bill_tmp_bill_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'tmp_bill_id')
tmp_bill_doctor_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'doctor_fee')
tmp_bill_hospital_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'hospital_fee')
tmp_bill_pharmacy_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'pharmacy_fee')
tmp_bill_laboratory_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'laboratory_fee')
tmp_bill_appointment_fee = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'appointment_fee')
tmp_bill_vat = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'vat')
tmp_bill_discount = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'discount')
tmp_bill_consultant_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'consultant_id')
tmp_bill_patient_id = state['TABLE_tmp_bill'].get({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, 'patient_id')
tmp_bill_appointment_fee = 500
state['TABLE_tmp_bill'].update({'tmp_bill_id': state['TABLE_tmp_bill'].get({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}, 'tmp_bill_id')}, {'tmp_bill_id': tmp_bill_tmp_bill_id, 'doctor_fee': tmp_bill_doctor_fee, 'hospital_fee': tmp_bill_hospital_fee, 'pharmacy_fee': tmp_bill_pharmacy_fee, 'laboratory_fee': tmp_bill_laboratory_fee, 'appointment_fee': tmp_bill_appointment_fee, 'vat': tmp_bill_vat, 'discount': tmp_bill_discount, 'consultant_id': tmp_bill_consultant_id, 'patient_id': tmp_bill_patient_id, '__ts': now})
return state
def cond5(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False))
def csop5(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
tmp_bill_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
tmp_bill_appointment_fee = 500
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': tmp_bill_tmp_bill_id}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now), (tmp_bill__ts < now))
def sop5(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_current_week_appointments = (doctor_availability_current_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
tmp_bill_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
tmp_bill_appointment_fee = 500
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
state['TABLE_tmp_bill'].add({'tmp_bill_id': tmp_bill_tmp_bill_id}, {'patient_id': tmp_bill_patient_id,'appointment_fee': tmp_bill_appointment_fee, '__ts': now})
return state
def cond6(self, state, argv):
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
return And((state['TABLE_appointment'].notNil({'appointment_id': argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']}) == False),(argv['Op_Receptionist_makeAppointment_run_8449']['day'])<=(3631),(state['TABLE_doctor_availability'].notNil({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'], 'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'], 'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}) == True),(state['TABLE_tmp_bill'].notNil({'patient_id': argv['Op_Receptionist_makeAppointment_run_8449']['patientId']}) == False))
def csop6(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
appointment__ts = state['TABLE_appointment'].get({'appointment_id': appointment_appointment_id}, '__ts')
doctor_availability__ts = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, '__ts')
tmp_bill_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
tmp_bill_appointment_fee = 500
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
tmp_bill__ts = state['TABLE_tmp_bill'].get({'tmp_bill_id': tmp_bill_tmp_bill_id}, '__ts')
return And((appointment__ts < now), (doctor_availability__ts < now), (tmp_bill__ts < now))
def sop6(self, state, argv):
now = argv['Op_Receptionist_makeAppointment_run_8449']['now']
__ts = argv['Op_Receptionist_makeAppointment_run_8449']['__ts']
newAppId = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
patientId = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
doctorId = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
currentDate = argv['Op_Receptionist_makeAppointment_run_8449']['currentDate']
day = argv['Op_Receptionist_makeAppointment_run_8449']['day']
timeSlot = argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot']
doctor_availability_time_slot = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_time_slot']
doctor_availability_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_slmc_reg_no']
doctor_availability_day = argv['Op_Receptionist_makeAppointment_run_8449']['doctor_availability_day']
newTmpBillId = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
appointment_appointment_id = argv['Op_Receptionist_makeAppointment_run_8449']['newAppId']
appointment_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
appointment_slmc_reg_no = argv['Op_Receptionist_makeAppointment_run_8449']['doctorId']
appointment_date = (argv['Op_Receptionist_makeAppointment_run_8449']['currentDate'])+(argv['Op_Receptionist_makeAppointment_run_8449']['day'])
appointment_cancelled = False
state['TABLE_appointment'].add({'appointment_id': appointment_appointment_id}, {'patient_id': appointment_patient_id,'slmc_reg_no': appointment_slmc_reg_no,'date': appointment_date,'cancelled': appointment_cancelled, '__ts': now})
doctor_availability_time_slot_id = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot_id')
doctor_availability_slmc_reg_no = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'slmc_reg_no')
doctor_availability_day = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'day')
doctor_availability_time_slot = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'time_slot')
doctor_availability_current_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'current_week_appointments')
doctor_availability_next_week_appointments = state['TABLE_doctor_availability'].get({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, 'next_week_appointments')
doctor_availability_next_week_appointments = (doctor_availability_next_week_appointments)+(1)
state['TABLE_doctor_availability'].update({'time_slot': argv['Op_Receptionist_makeAppointment_run_8449']['timeSlot'],'slmc_reg_no': argv['Op_Receptionist_makeAppointment_run_8449']['doctorId'],'day': argv['Op_Receptionist_makeAppointment_run_8449']['day']}, {'time_slot_id': doctor_availability_time_slot_id, 'slmc_reg_no': doctor_availability_slmc_reg_no, 'day': doctor_availability_day, 'time_slot': doctor_availability_time_slot, 'current_week_appointments': doctor_availability_current_week_appointments, 'next_week_appointments': doctor_availability_next_week_appointments, '__ts': now})
tmp_bill_patient_id = argv['Op_Receptionist_makeAppointment_run_8449']['patientId']
tmp_bill_appointment_fee = 500
tmp_bill_tmp_bill_id = argv['Op_Receptionist_makeAppointment_run_8449']['newTmpBillId']
state['TABLE_tmp_bill'].add({'tmp_bill_id': tmp_bill_tmp_bill_id}, {'patient_id': tmp_bill_patient_id,'appointment_fee': tmp_bill_appointment_fee, '__ts': now})
return state
class Op_Pharmacist_addNewSupplier_run_8450():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Pharmacist_addNewSupplier_run_8450', 'newSupplierId'))
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_addNewSupplier_run_8450']['__ts']
newSupplierId = argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']
name = argv['Op_Pharmacist_addNewSupplier_run_8450']['name']
return (state['TABLE_suppliers'].notNil({'supplier_id': argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_addNewSupplier_run_8450']['now']
__ts = argv['Op_Pharmacist_addNewSupplier_run_8450']['__ts']
newSupplierId = argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']
name = argv['Op_Pharmacist_addNewSupplier_run_8450']['name']
suppliers_supplier_id = argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']
suppliers_supplier_name = argv['Op_Pharmacist_addNewSupplier_run_8450']['name']
suppliers__ts = state['TABLE_suppliers'].get({'supplier_id': suppliers_supplier_id}, '__ts')
return And((suppliers__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_addNewSupplier_run_8450']['now']
__ts = argv['Op_Pharmacist_addNewSupplier_run_8450']['__ts']
newSupplierId = argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']
name = argv['Op_Pharmacist_addNewSupplier_run_8450']['name']
suppliers_supplier_id = argv['Op_Pharmacist_addNewSupplier_run_8450']['newSupplierId']
suppliers_supplier_name = argv['Op_Pharmacist_addNewSupplier_run_8450']['name']
state['TABLE_suppliers'].add({'supplier_id': suppliers_supplier_id}, {'supplier_name': suppliers_supplier_name, '__ts': now})
return state
class Op_Pharmacist_updatePharmacistInfo_run_8451():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['__ts']
id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']
pharmacist_pharmacist_id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['pharmacist_pharmacist_id']
return (state['TABLE_pharmacist'].notNil({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['now']
__ts = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['__ts']
id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']
pharmacist_pharmacist_id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['pharmacist_pharmacist_id']
pharmacist__ts = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, '__ts')
return And((pharmacist__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['now']
__ts = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['__ts']
id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']
pharmacist_pharmacist_id = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['pharmacist_pharmacist_id']
pharmacist_pharmacist_id = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'pharmacist_id')
pharmacist_user_id = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'user_id')
pharmacist_education = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'education')
pharmacist_training = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'training')
pharmacist_experience = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'experience')
pharmacist_achievements = state['TABLE_pharmacist'].get({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, 'achievements')
pharmacist_education = argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']
state['TABLE_pharmacist'].update({'pharmacist_id': argv['Op_Pharmacist_updatePharmacistInfo_run_8451']['id']}, {'pharmacist_id': pharmacist_pharmacist_id, 'user_id': pharmacist_user_id, 'education': pharmacist_education, 'training': pharmacist_training, 'experience': pharmacist_experience, 'achievements': pharmacist_achievements, '__ts': now})
return state
class Op_LabAssistant_updateProfileInfo_run_8452():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_updateProfileInfo_run_8452']['__ts']
id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']
sys_user_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['sys_user_person_id']
person_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['person_person_id']
return And((state['TABLE_sys_user'].notNil({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}) == True),(state['TABLE_person'].notNil({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_LabAssistant_updateProfileInfo_run_8452']['now']
__ts = argv['Op_LabAssistant_updateProfileInfo_run_8452']['__ts']
id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']
sys_user_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['sys_user_person_id']
person_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['person_person_id']
person__ts = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, '__ts')
return And((person__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_updateProfileInfo_run_8452']['now']
__ts = argv['Op_LabAssistant_updateProfileInfo_run_8452']['__ts']
id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']
sys_user_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['sys_user_person_id']
person_person_id = argv['Op_LabAssistant_updateProfileInfo_run_8452']['person_person_id']
person_person_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'person_id')
person_user_id = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'user_id')
person_nic = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'nic')
person_gender = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'gender')
person_date_of_birth = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'date_of_birth')
person_address = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'address')
person_mobile = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'mobile')
person_first_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'first_name')
person_last_name = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'last_name')
person_email = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'email')
person_nationality = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'nationality')
person_religion = state['TABLE_person'].get({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, 'religion')
person_address = argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']
state['TABLE_person'].update({'person_id': state['TABLE_sys_user'].get({'user_id': argv['Op_LabAssistant_updateProfileInfo_run_8452']['id']}, 'person_id')}, {'person_id': person_person_id, 'user_id': person_user_id, 'nic': person_nic, 'gender': person_gender, 'date_of_birth': person_date_of_birth, 'address': person_address, 'mobile': person_mobile, 'first_name': person_first_name, 'last_name': person_last_name, 'email': person_email, 'nationality': person_nationality, 'religion': person_religion, '__ts': now})
return state
class Op_Cashier_removeFromTempBill_run_8453():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Cashier_removeFromTempBill_run_8453']['__ts']
id = argv['Op_Cashier_removeFromTempBill_run_8453']['id']
return True
def csop0(self, state, argv):
now = argv['Op_Cashier_removeFromTempBill_run_8453']['now']
__ts = argv['Op_Cashier_removeFromTempBill_run_8453']['__ts']
id = argv['Op_Cashier_removeFromTempBill_run_8453']['id']
return And()
def sop0(self, state, argv):
now = argv['Op_Cashier_removeFromTempBill_run_8453']['now']
__ts = argv['Op_Cashier_removeFromTempBill_run_8453']['__ts']
id = argv['Op_Cashier_removeFromTempBill_run_8453']['id']
state['TABLE_tmp_bill'].delete({'patient_id': argv['Op_Cashier_removeFromTempBill_run_8453']['id']})
return state
class Op_LabAssistant_liverFunctionTest_run_8454():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_liverFunctionTest_run_8454', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_liverFunctionTest_run_8454']['__ts']
newTstId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']
appId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['appId']
totalBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
albumin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['albumin']
globulin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['globulin']
directBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['directBilirubin']
sgotast = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgotast']
sgptalt = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_liverFunctionTest_run_8454']['alkalinePhospates']
now = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
return (state['TABLE_LiverFunctionTest'].notNil({'tst_liver_id': argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
__ts = argv['Op_LabAssistant_liverFunctionTest_run_8454']['__ts']
newTstId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']
appId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['appId']
totalBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
albumin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['albumin']
globulin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['globulin']
directBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['directBilirubin']
sgotast = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgotast']
sgptalt = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_liverFunctionTest_run_8454']['alkalinePhospates']
now = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
LiverFunctionTest_tst_liver_id = argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']
LiverFunctionTest_appointment_id = argv['Op_LabAssistant_liverFunctionTest_run_8454']['appId']
LiverFunctionTest_totalProtein = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
LiverFunctionTest_albumin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['albumin']
LiverFunctionTest_globulin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['globulin']
LiverFunctionTest_totalBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
LiverFunctionTest_directBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['directBilirubin']
LiverFunctionTest_sgotast = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgotast']
LiverFunctionTest_sgptalt = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgptalt']
LiverFunctionTest_alkalinePhospates = argv['Op_LabAssistant_liverFunctionTest_run_8454']['alkalinePhospates']
LiverFunctionTest_date = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
LiverFunctionTest__ts = state['TABLE_LiverFunctionTest'].get({'tst_liver_id': LiverFunctionTest_tst_liver_id}, '__ts')
return And((LiverFunctionTest__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
__ts = argv['Op_LabAssistant_liverFunctionTest_run_8454']['__ts']
newTstId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']
appId = argv['Op_LabAssistant_liverFunctionTest_run_8454']['appId']
totalBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
albumin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['albumin']
globulin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['globulin']
directBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['directBilirubin']
sgotast = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgotast']
sgptalt = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgptalt']
alkalinePhospates = argv['Op_LabAssistant_liverFunctionTest_run_8454']['alkalinePhospates']
now = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
LiverFunctionTest_tst_liver_id = argv['Op_LabAssistant_liverFunctionTest_run_8454']['newTstId']
LiverFunctionTest_appointment_id = argv['Op_LabAssistant_liverFunctionTest_run_8454']['appId']
LiverFunctionTest_totalProtein = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
LiverFunctionTest_albumin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['albumin']
LiverFunctionTest_globulin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['globulin']
LiverFunctionTest_totalBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['totalBilirubin']
LiverFunctionTest_directBilirubin = argv['Op_LabAssistant_liverFunctionTest_run_8454']['directBilirubin']
LiverFunctionTest_sgotast = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgotast']
LiverFunctionTest_sgptalt = argv['Op_LabAssistant_liverFunctionTest_run_8454']['sgptalt']
LiverFunctionTest_alkalinePhospates = argv['Op_LabAssistant_liverFunctionTest_run_8454']['alkalinePhospates']
LiverFunctionTest_date = argv['Op_LabAssistant_liverFunctionTest_run_8454']['now']
state['TABLE_LiverFunctionTest'].add({'tst_liver_id': LiverFunctionTest_tst_liver_id}, {'appointment_id': LiverFunctionTest_appointment_id,'totalProtein': LiverFunctionTest_totalProtein,'albumin': LiverFunctionTest_albumin,'globulin': LiverFunctionTest_globulin,'totalBilirubin': LiverFunctionTest_totalBilirubin,'directBilirubin': LiverFunctionTest_directBilirubin,'sgotast': LiverFunctionTest_sgotast,'sgptalt': LiverFunctionTest_sgptalt,'alkalinePhospates': LiverFunctionTest_alkalinePhospates,'date': LiverFunctionTest_date, '__ts': now})
return state
class Op_Receptionist_cancelLabAppointment_run_8455():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0), (self.cond1, self.csop1, self.sop1), (self.cond2, self.csop2, self.sop2)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Receptionist_cancelLabAppointment_run_8455', 'newRefundId'))
def cond0(self, state, argv):
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
bill_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_bill_id']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True)))
def csop0(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, '__ts')
return And((lab_appointment__ts < now))
def sop0(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_lab_appointment_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_appointment_id')
lab_appointment_test_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'test_id')
lab_appointment_date = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'date')
lab_appointment_info = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'info')
lab_appointment_patient_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'patient_id')
lab_appointment_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
lab_appointment_lab_assistant_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_assistant_id')
lab_appointment_cancelled = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'cancelled')
lab_appointment_doctor_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'doctor_id')
lab_appointment_cancelled = True
state['TABLE_lab_appointment'].update({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, {'lab_appointment_id': lab_appointment_lab_appointment_id, 'test_id': lab_appointment_test_id, 'date': lab_appointment_date, 'info': lab_appointment_info, 'patient_id': lab_appointment_patient_id, 'bill_id': lab_appointment_bill_id, 'lab_assistant_id': lab_appointment_lab_assistant_id, 'cancelled': lab_appointment_cancelled, 'doctor_id': lab_appointment_doctor_id, '__ts': now})
return state
def cond1(self, state, argv):
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
bill_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_bill_id']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True),(state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True)),Not((state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True)))
def csop1(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, '__ts')
refund_refund_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
refund_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
return And((lab_appointment__ts < now), (refund__ts < now))
def sop1(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
lab_appointment_lab_appointment_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_appointment_id')
lab_appointment_test_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'test_id')
lab_appointment_date = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'date')
lab_appointment_info = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'info')
lab_appointment_patient_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'patient_id')
lab_appointment_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
lab_appointment_lab_assistant_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_assistant_id')
lab_appointment_cancelled = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'cancelled')
lab_appointment_doctor_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'doctor_id')
lab_appointment_cancelled = True
state['TABLE_lab_appointment'].update({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, {'lab_appointment_id': lab_appointment_lab_appointment_id, 'test_id': lab_appointment_test_id, 'date': lab_appointment_date, 'info': lab_appointment_info, 'patient_id': lab_appointment_patient_id, 'bill_id': lab_appointment_bill_id, 'lab_assistant_id': lab_appointment_lab_assistant_id, 'cancelled': lab_appointment_cancelled, 'doctor_id': lab_appointment_doctor_id, '__ts': now})
refund_refund_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
refund_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
return state
def cond2(self, state, argv):
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
bill_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_bill_id']
return And((state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True),(state['TABLE_lab_appointment'].notNil({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True),(state['TABLE_bill'].notNil({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}) == True))
def csop2(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
bill_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_bill_id']
lab_appointment__ts = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, '__ts')
refund_refund_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
refund_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
refund__ts = state['TABLE_refund'].get({'refund_id': refund_refund_id}, '__ts')
bill__ts = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, '__ts')
return And((lab_appointment__ts < now), (refund__ts < now), (bill__ts < now))
def sop2(self, state, argv):
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
__ts = argv['Op_Receptionist_cancelLabAppointment_run_8455']['__ts']
labAppointmentId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']
lab_appointment_lab_appointment_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_lab_appointment_id']
lab_appointment_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['lab_appointment_bill_id']
newRefundId = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
bill_total = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_total']
now = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
bill_bill_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['bill_bill_id']
lab_appointment_lab_appointment_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_appointment_id')
lab_appointment_test_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'test_id')
lab_appointment_date = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'date')
lab_appointment_info = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'info')
lab_appointment_patient_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'patient_id')
lab_appointment_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
lab_appointment_lab_assistant_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'lab_assistant_id')
lab_appointment_cancelled = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'cancelled')
lab_appointment_doctor_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'doctor_id')
lab_appointment_cancelled = True
state['TABLE_lab_appointment'].update({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, {'lab_appointment_id': lab_appointment_lab_appointment_id, 'test_id': lab_appointment_test_id, 'date': lab_appointment_date, 'info': lab_appointment_info, 'patient_id': lab_appointment_patient_id, 'bill_id': lab_appointment_bill_id, 'lab_assistant_id': lab_appointment_lab_assistant_id, 'cancelled': lab_appointment_cancelled, 'doctor_id': lab_appointment_doctor_id, '__ts': now})
refund_refund_id = argv['Op_Receptionist_cancelLabAppointment_run_8455']['newRefundId']
refund_bill_id = state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')
refund_payment_type = StringVal('docApp')
refund_reason = StringVal('no_reason')
refund_amount = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'total')
refund_date = argv['Op_Receptionist_cancelLabAppointment_run_8455']['now']
state['TABLE_refund'].add({'refund_id': refund_refund_id}, {'bill_id': refund_bill_id,'payment_type': refund_payment_type,'reason': refund_reason,'amount': refund_amount,'date': refund_date, '__ts': now})
bill_bill_id = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'bill_id')
bill_bill_date = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'bill_date')
bill_doctor_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'doctor_fee')
bill_hospital_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'hospital_fee')
bill_pharmacy_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'pharmacy_fee')
bill_laboratory_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'laboratory_fee')
bill_appointment_fee = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'appointment_fee')
bill_vat = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'vat')
bill_discount = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'discount')
bill_total = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'total')
bill_payment_method = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'payment_method')
bill_consultant_id = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'consultant_id')
bill_patient_id = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'patient_id')
bill_refund = state['TABLE_bill'].get({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, 'refund')
bill_refund = 1
state['TABLE_bill'].update({'bill_id': state['TABLE_lab_appointment'].get({'lab_appointment_id': argv['Op_Receptionist_cancelLabAppointment_run_8455']['labAppointmentId']}, 'bill_id')}, {'bill_id': bill_bill_id, 'bill_date': bill_bill_date, 'doctor_fee': bill_doctor_fee, 'hospital_fee': bill_hospital_fee, 'pharmacy_fee': bill_pharmacy_fee, 'laboratory_fee': bill_laboratory_fee, 'appointment_fee': bill_appointment_fee, 'vat': bill_vat, 'discount': bill_discount, 'total': bill_total, 'payment_method': bill_payment_method, 'consultant_id': bill_consultant_id, 'patient_id': bill_patient_id, 'refund': bill_refund, '__ts': now})
return state
class Op_Pharmacist_addNewBrand_run_8456():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_Pharmacist_addNewBrand_run_8456', 'newBrandId'))
def cond0(self, state, argv):
__ts = argv['Op_Pharmacist_addNewBrand_run_8456']['__ts']
newBrandId = argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']
brandName = argv['Op_Pharmacist_addNewBrand_run_8456']['brandName']
genericName = argv['Op_Pharmacist_addNewBrand_run_8456']['genericName']
drugType = argv['Op_Pharmacist_addNewBrand_run_8456']['drugType']
drugUnit = argv['Op_Pharmacist_addNewBrand_run_8456']['drugUnit']
unitPrice = argv['Op_Pharmacist_addNewBrand_run_8456']['unitPrice']
return (state['TABLE_drug_brand_names'].notNil({'brand_id': argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']}) == False)
def csop0(self, state, argv):
now = argv['Op_Pharmacist_addNewBrand_run_8456']['now']
__ts = argv['Op_Pharmacist_addNewBrand_run_8456']['__ts']
newBrandId = argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']
brandName = argv['Op_Pharmacist_addNewBrand_run_8456']['brandName']
genericName = argv['Op_Pharmacist_addNewBrand_run_8456']['genericName']
drugType = argv['Op_Pharmacist_addNewBrand_run_8456']['drugType']
drugUnit = argv['Op_Pharmacist_addNewBrand_run_8456']['drugUnit']
unitPrice = argv['Op_Pharmacist_addNewBrand_run_8456']['unitPrice']
drug_brand_names_brand_id = argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']
drug_brand_names_brand_name = argv['Op_Pharmacist_addNewBrand_run_8456']['brandName']
drug_brand_names_generic_name = argv['Op_Pharmacist_addNewBrand_run_8456']['genericName']
drug_brand_names_drug_type = argv['Op_Pharmacist_addNewBrand_run_8456']['drugType']
drug_brand_names_drug_unit = argv['Op_Pharmacist_addNewBrand_run_8456']['drugUnit']
drug_brand_names_unit_price = argv['Op_Pharmacist_addNewBrand_run_8456']['unitPrice']
drug_brand_names__ts = state['TABLE_drug_brand_names'].get({'brand_id': drug_brand_names_brand_id}, '__ts')
return And((drug_brand_names__ts < now))
def sop0(self, state, argv):
now = argv['Op_Pharmacist_addNewBrand_run_8456']['now']
__ts = argv['Op_Pharmacist_addNewBrand_run_8456']['__ts']
newBrandId = argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']
brandName = argv['Op_Pharmacist_addNewBrand_run_8456']['brandName']
genericName = argv['Op_Pharmacist_addNewBrand_run_8456']['genericName']
drugType = argv['Op_Pharmacist_addNewBrand_run_8456']['drugType']
drugUnit = argv['Op_Pharmacist_addNewBrand_run_8456']['drugUnit']
unitPrice = argv['Op_Pharmacist_addNewBrand_run_8456']['unitPrice']
drug_brand_names_brand_id = argv['Op_Pharmacist_addNewBrand_run_8456']['newBrandId']
drug_brand_names_brand_name = argv['Op_Pharmacist_addNewBrand_run_8456']['brandName']
drug_brand_names_generic_name = argv['Op_Pharmacist_addNewBrand_run_8456']['genericName']
drug_brand_names_drug_type = argv['Op_Pharmacist_addNewBrand_run_8456']['drugType']
drug_brand_names_drug_unit = argv['Op_Pharmacist_addNewBrand_run_8456']['drugUnit']
drug_brand_names_unit_price = argv['Op_Pharmacist_addNewBrand_run_8456']['unitPrice']
state['TABLE_drug_brand_names'].add({'brand_id': drug_brand_names_brand_id}, {'brand_name': drug_brand_names_brand_name,'generic_name': drug_brand_names_generic_name,'drug_type': drug_brand_names_drug_type,'drug_unit': drug_brand_names_drug_unit,'unit_price': drug_brand_names_unit_price, '__ts': now})
return state
class Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomsAnd(AxiomUniqueArgument('Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457', 'newTstId'))
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['appId']
hiv12ELISA = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['hiv12ELISA']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
return (state['TABLE_SeriumCreatinePhosphokinase'].notNil({'tst_SCP_id': argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']}) == False)
def csop0(self, state, argv):
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['appId']
hiv12ELISA = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['hiv12ELISA']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
SeriumCreatinePhosphokinase_tst_SCP_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']
SeriumCreatinePhosphokinase_appointment_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['appId']
SeriumCreatinePhosphokinase_hiv12ELISA = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['hiv12ELISA']
SeriumCreatinePhosphokinase_date = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
SeriumCreatinePhosphokinase__ts = state['TABLE_SeriumCreatinePhosphokinase'].get({'tst_SCP_id': SeriumCreatinePhosphokinase_tst_SCP_id}, '__ts')
return And((SeriumCreatinePhosphokinase__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
__ts = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['__ts']
newTstId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']
appId = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['appId']
hiv12ELISA = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['hiv12ELISA']
now = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
SeriumCreatinePhosphokinase_tst_SCP_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['newTstId']
SeriumCreatinePhosphokinase_appointment_id = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['appId']
SeriumCreatinePhosphokinase_hiv12ELISA = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['hiv12ELISA']
SeriumCreatinePhosphokinase_date = argv['Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457']['now']
state['TABLE_SeriumCreatinePhosphokinase'].add({'tst_SCP_id': SeriumCreatinePhosphokinase_tst_SCP_id}, {'appointment_id': SeriumCreatinePhosphokinase_appointment_id,'hiv12ELISA': SeriumCreatinePhosphokinase_hiv12ELISA,'date': SeriumCreatinePhosphokinase_date, '__ts': now})
return state
class Op_Doctor_removeDoctorTime_run_8458():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Doctor_removeDoctorTime_run_8458']['__ts']
id = argv['Op_Doctor_removeDoctorTime_run_8458']['id']
return True
def csop0(self, state, argv):
now = argv['Op_Doctor_removeDoctorTime_run_8458']['now']
__ts = argv['Op_Doctor_removeDoctorTime_run_8458']['__ts']
id = argv['Op_Doctor_removeDoctorTime_run_8458']['id']
return And()
def sop0(self, state, argv):
now = argv['Op_Doctor_removeDoctorTime_run_8458']['now']
__ts = argv['Op_Doctor_removeDoctorTime_run_8458']['__ts']
id = argv['Op_Doctor_removeDoctorTime_run_8458']['id']
state['TABLE_doctor_availability'].delete({'time_slot_id': argv['Op_Doctor_removeDoctorTime_run_8458']['id']})
return state
class Op_Admin_updateAccountInfo_run_8459():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Admin_updateAccountInfo_run_8459']['__ts']
id = argv['Op_Admin_updateAccountInfo_run_8459']['id']
sys_user_user_id = argv['Op_Admin_updateAccountInfo_run_8459']['sys_user_user_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Admin_updateAccountInfo_run_8459']['now']
__ts = argv['Op_Admin_updateAccountInfo_run_8459']['__ts']
id = argv['Op_Admin_updateAccountInfo_run_8459']['id']
sys_user_user_id = argv['Op_Admin_updateAccountInfo_run_8459']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_Admin_updateAccountInfo_run_8459']['now']
__ts = argv['Op_Admin_updateAccountInfo_run_8459']['__ts']
id = argv['Op_Admin_updateAccountInfo_run_8459']['id']
sys_user_user_id = argv['Op_Admin_updateAccountInfo_run_8459']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, 'suspend')
sys_user_other_info = argv['Op_Admin_updateAccountInfo_run_8459']['id']
state['TABLE_sys_user'].update({'user_id': argv['Op_Admin_updateAccountInfo_run_8459']['id']}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_LabAssistant_updateAccountInfo_run_8460():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_LabAssistant_updateAccountInfo_run_8460']['__ts']
id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']
doctor_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['doctor_user_id']
sys_user_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['sys_user_user_id']
return And((state['TABLE_doctor'].notNil({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}) == True),(state['TABLE_sys_user'].notNil({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}) == True))
def csop0(self, state, argv):
now = argv['Op_LabAssistant_updateAccountInfo_run_8460']['now']
__ts = argv['Op_LabAssistant_updateAccountInfo_run_8460']['__ts']
id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']
doctor_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['doctor_user_id']
sys_user_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['sys_user_user_id']
sys_user__ts = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, '__ts')
return And((sys_user__ts < now))
def sop0(self, state, argv):
now = argv['Op_LabAssistant_updateAccountInfo_run_8460']['now']
__ts = argv['Op_LabAssistant_updateAccountInfo_run_8460']['__ts']
id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']
doctor_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['doctor_user_id']
sys_user_user_id = argv['Op_LabAssistant_updateAccountInfo_run_8460']['sys_user_user_id']
sys_user_person_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'person_id')
sys_user_user_id = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'user_id')
sys_user_user_name = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'user_name')
sys_user_user_type = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'user_type')
sys_user_other_info = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'other_info')
sys_user_password = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'password')
sys_user_online = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'online')
sys_user_login = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'login')
sys_user_logout = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'logout')
sys_user_profile_pic = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'profile_pic')
sys_user_suspend = state['TABLE_sys_user'].get({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, 'suspend')
sys_user_other_info = argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']
state['TABLE_sys_user'].update({'user_id': state['TABLE_doctor'].get({'slmc_reg_no': argv['Op_LabAssistant_updateAccountInfo_run_8460']['id']}, 'user_id')}, {'person_id': sys_user_person_id, 'user_id': sys_user_user_id, 'user_name': sys_user_user_name, 'user_type': sys_user_user_type, 'other_info': sys_user_other_info, 'password': sys_user_password, 'online': sys_user_online, 'login': sys_user_login, 'logout': sys_user_logout, 'profile_pic': sys_user_profile_pic, 'suspend': sys_user_suspend, '__ts': now})
return state
class Op_Cashier_updateProfileInfo_run_8461():
def __init__(self):
self.sops = [(self.cond0, self.csop0, self.sop0)]
self.axiom = AxiomEmpty()
def cond0(self, state, argv):
__ts = argv['Op_Cashier_updateProfileInfo_run_8461']['__ts']
id = argv['Op_Cashier_updateProfileInfo_run_8461']['id']
sys_user_person_id = argv['Op_Cashier_updateProfileInfo_run_8461']['sys_user_person_id']
return (state['TABLE_sys_user'].notNil({'user_id': argv['Op_Cashier_updateProfileInfo_run_8461']['id']}) == True)
def csop0(self, state, argv):
now = argv['Op_Cashier_updateProfileInfo_run_8461']['now']
__ts = argv['Op_Cashier_updateProfileInfo_run_8461']['__ts']
id = argv['Op_Cashier_updateProfileInfo_run_8461']['id']
sys_user_person_id = argv['Op_Cashier_updateProfileInfo_run_8461']['sys_user_person_id']
return And()
def sop0(self, state, argv):
now = argv['Op_Cashier_updateProfileInfo_run_8461']['now']
__ts = argv['Op_Cashier_updateProfileInfo_run_8461']['__ts']
id = argv['Op_Cashier_updateProfileInfo_run_8461']['id']
sys_user_person_id = argv['Op_Cashier_updateProfileInfo_run_8461']['sys_user_person_id']
return state
class HealthPlus():
def __init__(self):
self.ops = [Op_Doctor_doctorTimeTableAddSlot_run_8412(),Op_Pharmacist_addNewDrug2_run_8413(),Op_Cashier_bill_run_8414(),Op_Pharmacist_updateStock_run_8415(),Op_Pharmacist_reduceStock_run_8416(),Op_LabAssistant_updateLabAssistantInfo_run_8417(),Op_Receptionist_updateAccountInfo_run_8418(),Op_Doctor_diagnose_run_8419(),Op_Pharmacist_updateAccountInfo_run_8420(),Op_LabAssistant_UrineFullReport_run_8421(),Op_Receptionist_cancelAppointment_run_8422(),Op_Cashier_makeRefund_run_8423(),Op_Cashier_refund_run_8424(),Op_Doctor_allergies_run_8425(),Op_Admin_createNewUser_run_8426(),Op_Pharmacist_bill_run_8427(),Op_Receptionist_updatePatientInfo_run_8428(),Op_Doctor_updateDoctorInfo_run_8429(),Op_Receptionist_updateProfileInfo_run_8430(),Op_LabAssistant_SeriumCreatinePhosphokinaseTotal_run_8431(),Op_Cashier_updateAccountInfo_run_8432(),Op_Admin_suspendUser_run_8433(),Op_Doctor_updateProfileInfo_run_8434(),Op_Pharmacist_updateProfileInfo_run_8435(),Op_Doctor_bill_run_8436(),Op_LabAssistant_BloodGroupingTest_run_8437(),Op_Doctor_prescribe_run_8438(),Op_Receptionist_setPatientInfo_run_8439(),Op_LabAssistant_RenalFunctionTest_run_8440(),Op_Admin_updateProfileInfo_run_8441(),Op_Admin_resetPassword_run_8442(),Op_Receptionist_refund_run_8443(),Op_Admin_unsuspendUser_run_8444(),Op_Receptionist_makeLabAppointment_run_8445(),Op_LabAssistant_LipidTest_run_8446(),Op_Doctor_updateAccountInfo_run_8447(),Op_LabAssistant_completeBloodCount_run_8448(),Op_Receptionist_makeAppointment_run_8449(),Op_Pharmacist_addNewSupplier_run_8450(),Op_Pharmacist_updatePharmacistInfo_run_8451(),Op_LabAssistant_updateProfileInfo_run_8452(),Op_Cashier_removeFromTempBill_run_8453(),Op_LabAssistant_liverFunctionTest_run_8454(),Op_Receptionist_cancelLabAppointment_run_8455(),Op_Pharmacist_addNewBrand_run_8456(),Op_LabAssistant_SeriumCreatinePhosphokinase_run_8457(),Op_Doctor_removeDoctorTime_run_8458(),Op_Admin_updateAccountInfo_run_8459(),Op_LabAssistant_updateAccountInfo_run_8460(),Op_Cashier_updateProfileInfo_run_8461()]
self.tables = [BloodGroupingRh, LipidTest, LiverFunctionTest, RenalFunctionTest, SeriumCreatinePhosphokinase, SeriumCreatinePhosphokinaseTotal, UrineFullReport, appointment, bill, completeBloodCount, diagnose_history, doctor, doctor_availability, drug, drug_brand_names, lab_appointment, lab_appointment_timetable, lab_assistant, lab_test, medical_history, patient, patient_message_receive, patient_message_send, patient_useraccount, person, pharmacist, pharmacy_history, pharmacy_stock, prescription, refund, signup, suppliers, sys_user, tempappointment, tmp_bill, user_message, website_messages]
self.state = GenState
self.argv = GenArgv
self.axiom = AxiomsAnd(BuildArgvAxiom(self.ops), AxiomCausal('Op_Pharmacist_updateStock_run_8415', ['newStockId'], 'Op_Pharmacist_reduceStock_run_8416', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_diagnose_run_8419', ['doctorId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_doctorTimeTableAddSlot_run_8412', ['slmcReg']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateDoctorInfo_run_8429', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateProfileInfo_run_8434', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_diagnose_run_8419', ['doctorId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_doctorTimeTableAddSlot_run_8412', ['slmcReg']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateDoctorInfo_run_8429', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateProfileInfo_run_8434', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_diagnose_run_8419', ['doctorId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_doctorTimeTableAddSlot_run_8412', ['slmcReg']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateDoctorInfo_run_8429', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateProfileInfo_run_8434', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_diagnose_run_8419', ['doctorId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_doctorTimeTableAddSlot_run_8412', ['slmcReg']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateDoctorInfo_run_8429', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newSlmcReg'], 'Op_Doctor_updateProfileInfo_run_8434', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Receptionist_updateProfileInfo_run_8430', ['userId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Cashier_updateAccountInfo_run_8432', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_suspendUser_run_8433', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Pharmacist_updateProfileInfo_run_8435', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateProfileInfo_run_8441', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_resetPassword_run_8442', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_unsuspendUser_run_8444', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_LabAssistant_updateProfileInfo_run_8452', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newUserId'], 'Op_Admin_updateAccountInfo_run_8459', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newLabAssistantId'], 'Op_LabAssistant_updateLabAssistantInfo_run_8417', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newPharmacistId'], 'Op_Pharmacist_updateAccountInfo_run_8420', ['pharmacistId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newPharmacistId'], 'Op_Pharmacist_updatePharmacistInfo_run_8451', ['id']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newPharmacistId'], 'Op_Pharmacist_updateAccountInfo_run_8420', ['pharmacistId']), AxiomCausal('Op_Admin_createNewUser_run_8426', ['newPharmacistId'], 'Op_Pharmacist_updatePharmacistInfo_run_8451', ['id']), AxiomCausal('Op_Receptionist_makeLabAppointment_run_8445', ['newAppId'], 'Op_Receptionist_cancelLabAppointment_run_8455', ['labAppointmentId']), AxiomCausal('Op_Receptionist_makeAppointment_run_8449', ['newAppId'], 'Op_Receptionist_cancelAppointment_run_8422', ['appointmentId']))
def factory():
cls = globals()["HealthPlus"]
return cls()
if __name__ == '__main__':
check_parallel(factory, 8)
| 88.343042
| 11,915
| 0.755776
| 55,144
| 464,066
| 5.847762
| 0.007653
| 0.065737
| 0.080994
| 0.063479
| 0.957925
| 0.918498
| 0.899451
| 0.882758
| 0.875771
| 0.871132
| 0
| 0.039501
| 0.107918
| 464,066
| 5,252
| 11,916
| 88.359863
| 0.739437
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| 0
| 0.75351
| 0
| 0
| 0.476255
| 0.326884
| 0
| 0
| 0
| 0
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| 1
| 0.05512
| false
| 0.013832
| 0.001445
| 0
| 0.111685
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 1
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| 0
|
0
| 8
|
4ac4a388ab6c68e313885439546bafd38151c887
| 42,140
|
py
|
Python
|
tests/api/v2_2_1/test_event_management.py
|
oboehmer/dnacentersdk
|
25c4e99900640deee91a56aa886874d9cb0ca960
|
[
"MIT"
] | 32
|
2019-09-05T05:16:56.000Z
|
2022-03-22T09:50:38.000Z
|
tests/api/v2_2_1/test_event_management.py
|
oboehmer/dnacentersdk
|
25c4e99900640deee91a56aa886874d9cb0ca960
|
[
"MIT"
] | 35
|
2019-09-07T18:58:54.000Z
|
2022-03-24T19:29:36.000Z
|
tests/api/v2_2_1/test_event_management.py
|
oboehmer/dnacentersdk
|
25c4e99900640deee91a56aa886874d9cb0ca960
|
[
"MIT"
] | 18
|
2019-09-09T11:07:21.000Z
|
2022-03-25T08:49:59.000Z
|
# -*- coding: utf-8 -*-
"""DNACenterAPI event_management API fixtures and tests.
Copyright (c) 2019-2021 Cisco Systems.
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.
"""
import pytest
from fastjsonschema.exceptions import JsonSchemaException
from dnacentersdk.exceptions import MalformedRequest
from tests.environment import DNA_CENTER_VERSION
pytestmark = pytest.mark.skipif(DNA_CENTER_VERSION != '2.2.1', reason='version does not match')
def is_valid_count_of_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_c538dc50a4555b5fba17b672a89ee1b8_v2_2_1').validate(obj)
return True
def count_of_event_subscriptions(api):
endpoint_result = api.event_management.count_of_event_subscriptions(
event_ids='string'
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_event_subscriptions(api, validator):
try:
assert is_valid_count_of_event_subscriptions(
validator,
count_of_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def count_of_event_subscriptions_default(api):
endpoint_result = api.event_management.count_of_event_subscriptions(
event_ids=None
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_event_subscriptions_default(api, validator):
try:
assert is_valid_count_of_event_subscriptions(
validator,
count_of_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_count_of_notifications(json_schema_validate, obj):
json_schema_validate('jsd_4431fd269fe156e4b5ad3f4210b7b168_v2_2_1').validate(obj)
return True
def count_of_notifications(api):
endpoint_result = api.event_management.count_of_notifications(
category='string',
domain='string',
end_time=0,
event_ids='string',
severity='string',
source='string',
start_time=0,
sub_domain='string',
type='string'
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_notifications(api, validator):
try:
assert is_valid_count_of_notifications(
validator,
count_of_notifications(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def count_of_notifications_default(api):
endpoint_result = api.event_management.count_of_notifications(
category=None,
domain=None,
end_time=None,
event_ids=None,
severity=None,
source=None,
start_time=None,
sub_domain=None,
type=None
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_notifications_default(api, validator):
try:
assert is_valid_count_of_notifications(
validator,
count_of_notifications_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_syslog_subscription_details(json_schema_validate, obj):
json_schema_validate('jsd_c0dcb335458a58fa8bc5a485b174427d_v2_2_1').validate(obj)
return True
def get_syslog_subscription_details(api):
endpoint_result = api.event_management.get_syslog_subscription_details(
connector_type='string',
instance_id='string',
name='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_syslog_subscription_details(api, validator):
try:
assert is_valid_get_syslog_subscription_details(
validator,
get_syslog_subscription_details(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_syslog_subscription_details_default(api):
endpoint_result = api.event_management.get_syslog_subscription_details(
connector_type=None,
instance_id=None,
name=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_syslog_subscription_details_default(api, validator):
try:
assert is_valid_get_syslog_subscription_details(
validator,
get_syslog_subscription_details_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_email_subscription_details(json_schema_validate, obj):
json_schema_validate('jsd_403889d420225889bb16f99ec7ba099a_v2_2_1').validate(obj)
return True
def get_email_subscription_details(api):
endpoint_result = api.event_management.get_email_subscription_details(
connector_type='string',
instance_id='string',
name='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_email_subscription_details(api, validator):
try:
assert is_valid_get_email_subscription_details(
validator,
get_email_subscription_details(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_email_subscription_details_default(api):
endpoint_result = api.event_management.get_email_subscription_details(
connector_type=None,
instance_id=None,
name=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_email_subscription_details_default(api, validator):
try:
assert is_valid_get_email_subscription_details(
validator,
get_email_subscription_details_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_email_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_bc212b5ee1f252479f35e8dd58319f17_v2_2_1').validate(obj)
return True
def get_email_event_subscriptions(api):
endpoint_result = api.event_management.get_email_event_subscriptions(
event_ids='string',
limit=0,
offset=0,
order='string',
sort_by='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_email_event_subscriptions(api, validator):
try:
assert is_valid_get_email_event_subscriptions(
validator,
get_email_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_email_event_subscriptions_default(api):
endpoint_result = api.event_management.get_email_event_subscriptions(
event_ids=None,
limit=None,
offset=None,
order=None,
sort_by=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_email_event_subscriptions_default(api, validator):
try:
assert is_valid_get_email_event_subscriptions(
validator,
get_email_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_update_email_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_f8b4842604b65658afb34b4f124db469_v2_2_1').validate(obj)
return True
def update_email_event_subscription(api):
endpoint_result = api.event_management.update_email_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_email_event_subscription(api, validator):
try:
assert is_valid_update_email_event_subscription(
validator,
update_email_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def update_email_event_subscription_default(api):
endpoint_result = api.event_management.update_email_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_email_event_subscription_default(api, validator):
try:
assert is_valid_update_email_event_subscription(
validator,
update_email_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_create_email_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_2e69d02d71905aecbd10b782469efbda_v2_2_1').validate(obj)
return True
def create_email_event_subscription(api):
endpoint_result = api.event_management.create_email_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_email_event_subscription(api, validator):
try:
assert is_valid_create_email_event_subscription(
validator,
create_email_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def create_email_event_subscription_default(api):
endpoint_result = api.event_management.create_email_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_email_event_subscription_default(api, validator):
try:
assert is_valid_create_email_event_subscription(
validator,
create_email_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_events(json_schema_validate, obj):
json_schema_validate('jsd_bf36f1819e61575189c0709efab6e48a_v2_2_1').validate(obj)
return True
def get_events(api):
endpoint_result = api.event_management.get_events(
event_id='string',
limit=0,
offset=0,
order='string',
sort_by='string',
tags='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_events(api, validator):
try:
assert is_valid_get_events(
validator,
get_events(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_events_default(api):
endpoint_result = api.event_management.get_events(
event_id=None,
limit=None,
offset=None,
order=None,
sort_by=None,
tags=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_events_default(api, validator):
try:
assert is_valid_get_events(
validator,
get_events_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_auditlog_summary(json_schema_validate, obj):
json_schema_validate('jsd_894ea7c0220d55ae9e1a51d6823ce862_v2_2_1').validate(obj)
return True
def get_auditlog_summary(api):
endpoint_result = api.event_management.get_auditlog_summary(
category='string',
context='string',
description='string',
device_id='string',
domain='string',
end_time=0,
event_hierarchy='string',
event_id='string',
instance_id='string',
is_parent_only=True,
is_system_events=True,
name='string',
parent_instance_id='string',
severity='string',
site_id='string',
source='string',
start_time=0,
sub_domain='string',
user_id='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_summary(api, validator):
try:
assert is_valid_get_auditlog_summary(
validator,
get_auditlog_summary(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_auditlog_summary_default(api):
endpoint_result = api.event_management.get_auditlog_summary(
category=None,
context=None,
description=None,
device_id=None,
domain=None,
end_time=None,
event_hierarchy=None,
event_id=None,
instance_id=None,
is_parent_only=None,
is_system_events=None,
name=None,
parent_instance_id=None,
severity=None,
site_id=None,
source=None,
start_time=None,
sub_domain=None,
user_id=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_summary_default(api, validator):
try:
assert is_valid_get_auditlog_summary(
validator,
get_auditlog_summary_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_343538d7d4e55d6bbb21c34ce863a131_v2_2_1').validate(obj)
return True
def get_event_subscriptions(api):
endpoint_result = api.event_management.get_event_subscriptions(
event_ids='string',
limit=0,
offset=0,
order='string',
sort_by='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_event_subscriptions(api, validator):
try:
assert is_valid_get_event_subscriptions(
validator,
get_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_event_subscriptions_default(api):
endpoint_result = api.event_management.get_event_subscriptions(
event_ids=None,
limit=None,
offset=None,
order=None,
sort_by=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_event_subscriptions_default(api, validator):
try:
assert is_valid_get_event_subscriptions(
validator,
get_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_update_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_dfda5beca4cc5437876bff366493ebf0_v2_2_1').validate(obj)
return True
def update_event_subscriptions(api):
endpoint_result = api.event_management.update_event_subscriptions(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_event_subscriptions(api, validator):
try:
assert is_valid_update_event_subscriptions(
validator,
update_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def update_event_subscriptions_default(api):
endpoint_result = api.event_management.update_event_subscriptions(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_event_subscriptions_default(api, validator):
try:
assert is_valid_update_event_subscriptions(
validator,
update_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_create_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_5fcc151af7615a84adf48b714d146192_v2_2_1').validate(obj)
return True
def create_event_subscriptions(api):
endpoint_result = api.event_management.create_event_subscriptions(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_event_subscriptions(api, validator):
try:
assert is_valid_create_event_subscriptions(
validator,
create_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def create_event_subscriptions_default(api):
endpoint_result = api.event_management.create_event_subscriptions(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_event_subscriptions_default(api, validator):
try:
assert is_valid_create_event_subscriptions(
validator,
create_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_delete_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_a0e0b1772dfc5a02a96a9f6ee6e2579b_v2_2_1').validate(obj)
return True
def delete_event_subscriptions(api):
endpoint_result = api.event_management.delete_event_subscriptions(
subscriptions='string'
)
return endpoint_result
@pytest.mark.event_management
def test_delete_event_subscriptions(api, validator):
try:
assert is_valid_delete_event_subscriptions(
validator,
delete_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def delete_event_subscriptions_default(api):
endpoint_result = api.event_management.delete_event_subscriptions(
subscriptions=None
)
return endpoint_result
@pytest.mark.event_management
def test_delete_event_subscriptions_default(api, validator):
try:
assert is_valid_delete_event_subscriptions(
validator,
delete_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_syslog_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_c7bed4b4148753e6bc9912e3be135217_v2_2_1').validate(obj)
return True
def get_syslog_event_subscriptions(api):
endpoint_result = api.event_management.get_syslog_event_subscriptions(
event_ids='string',
limit=0,
offset=0,
order='string',
sort_by='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_syslog_event_subscriptions(api, validator):
try:
assert is_valid_get_syslog_event_subscriptions(
validator,
get_syslog_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_syslog_event_subscriptions_default(api):
endpoint_result = api.event_management.get_syslog_event_subscriptions(
event_ids=None,
limit=None,
offset=None,
order=None,
sort_by=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_syslog_event_subscriptions_default(api, validator):
try:
assert is_valid_get_syslog_event_subscriptions(
validator,
get_syslog_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_update_syslog_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_8d8fc92ddeab597ebb50ea003a6d46bd_v2_2_1').validate(obj)
return True
def update_syslog_event_subscription(api):
endpoint_result = api.event_management.update_syslog_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_syslog_event_subscription(api, validator):
try:
assert is_valid_update_syslog_event_subscription(
validator,
update_syslog_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def update_syslog_event_subscription_default(api):
endpoint_result = api.event_management.update_syslog_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_syslog_event_subscription_default(api, validator):
try:
assert is_valid_update_syslog_event_subscription(
validator,
update_syslog_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_create_syslog_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_99fb5a8c0075563491622171958074bf_v2_2_1').validate(obj)
return True
def create_syslog_event_subscription(api):
endpoint_result = api.event_management.create_syslog_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_syslog_event_subscription(api, validator):
try:
assert is_valid_create_syslog_event_subscription(
validator,
create_syslog_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def create_syslog_event_subscription_default(api):
endpoint_result = api.event_management.create_syslog_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_syslog_event_subscription_default(api, validator):
try:
assert is_valid_create_syslog_event_subscription(
validator,
create_syslog_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_count_of_events(json_schema_validate, obj):
json_schema_validate('jsd_3b21d2947d715c198f5e62ba3149839a_v2_2_1').validate(obj)
return True
def count_of_events(api):
endpoint_result = api.event_management.count_of_events(
event_id='string',
tags='string'
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_events(api, validator):
try:
assert is_valid_count_of_events(
validator,
count_of_events(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def count_of_events_default(api):
endpoint_result = api.event_management.count_of_events(
event_id=None,
tags=None
)
return endpoint_result
@pytest.mark.event_management
def test_count_of_events_default(api, validator):
try:
assert is_valid_count_of_events(
validator,
count_of_events_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_eventartifacts(json_schema_validate, obj):
json_schema_validate('jsd_584c0e0d76b2561b8f2efd0220f02267_v2_2_1').validate(obj)
return True
def get_eventartifacts(api):
endpoint_result = api.event_management.get_eventartifacts(
event_ids='string',
limit=0,
offset=0,
order='string',
search='string',
sort_by='string',
tags='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_eventartifacts(api, validator):
try:
assert is_valid_get_eventartifacts(
validator,
get_eventartifacts(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_eventartifacts_default(api):
endpoint_result = api.event_management.get_eventartifacts(
event_ids=None,
limit=None,
offset=None,
order=None,
search=None,
sort_by=None,
tags=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_eventartifacts_default(api, validator):
try:
assert is_valid_get_eventartifacts(
validator,
get_eventartifacts_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_notifications(json_schema_validate, obj):
json_schema_validate('jsd_c641f481dd285301861010da8d6fbf9f_v2_2_1').validate(obj)
return True
def get_notifications(api):
endpoint_result = api.event_management.get_notifications(
category='string',
domain='string',
end_time=0,
event_ids='string',
limit=0,
offset=0,
order='string',
severity='string',
sort_by='string',
source='string',
start_time=0,
sub_domain='string',
type='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_notifications(api, validator):
try:
assert is_valid_get_notifications(
validator,
get_notifications(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_notifications_default(api):
endpoint_result = api.event_management.get_notifications(
category=None,
domain=None,
end_time=None,
event_ids=None,
limit=None,
offset=None,
order=None,
severity=None,
sort_by=None,
source=None,
start_time=None,
sub_domain=None,
type=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_notifications_default(api, validator):
try:
assert is_valid_get_notifications(
validator,
get_notifications_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_auditlog_records(json_schema_validate, obj):
json_schema_validate('jsd_b0aa5a61f64a5da997dfe05bc8a4a64f_v2_2_1').validate(obj)
return True
def get_auditlog_records(api):
endpoint_result = api.event_management.get_auditlog_records(
category='string',
context='string',
description='string',
device_id='string',
domain='string',
end_time=0,
event_hierarchy='string',
event_id='string',
instance_id='string',
is_system_events=True,
limit=0,
name='string',
offset=0,
order='string',
parent_instance_id='string',
severity='string',
site_id='string',
sort_by='string',
source='string',
start_time=0,
sub_domain='string',
user_id='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_records(api, validator):
try:
assert is_valid_get_auditlog_records(
validator,
get_auditlog_records(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_auditlog_records_default(api):
endpoint_result = api.event_management.get_auditlog_records(
category=None,
context=None,
description=None,
device_id=None,
domain=None,
end_time=None,
event_hierarchy=None,
event_id=None,
instance_id=None,
is_system_events=None,
limit=None,
name=None,
offset=None,
order=None,
parent_instance_id=None,
severity=None,
site_id=None,
sort_by=None,
source=None,
start_time=None,
sub_domain=None,
user_id=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_records_default(api, validator):
try:
assert is_valid_get_auditlog_records(
validator,
get_auditlog_records_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_rest_webhook_event_subscriptions(json_schema_validate, obj):
json_schema_validate('jsd_1ee2008494d158e7bff7f106519a64c5_v2_2_1').validate(obj)
return True
def get_rest_webhook_event_subscriptions(api):
endpoint_result = api.event_management.get_rest_webhook_event_subscriptions(
event_ids='string',
limit=0,
offset=0,
order='string',
sort_by='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_rest_webhook_event_subscriptions(api, validator):
try:
assert is_valid_get_rest_webhook_event_subscriptions(
validator,
get_rest_webhook_event_subscriptions(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_rest_webhook_event_subscriptions_default(api):
endpoint_result = api.event_management.get_rest_webhook_event_subscriptions(
event_ids=None,
limit=None,
offset=None,
order=None,
sort_by=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_rest_webhook_event_subscriptions_default(api, validator):
try:
assert is_valid_get_rest_webhook_event_subscriptions(
validator,
get_rest_webhook_event_subscriptions_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_update_rest_webhook_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_7474456b6581534bb321eaea272365b7_v2_2_1').validate(obj)
return True
def update_rest_webhook_event_subscription(api):
endpoint_result = api.event_management.update_rest_webhook_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_rest_webhook_event_subscription(api, validator):
try:
assert is_valid_update_rest_webhook_event_subscription(
validator,
update_rest_webhook_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def update_rest_webhook_event_subscription_default(api):
endpoint_result = api.event_management.update_rest_webhook_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_update_rest_webhook_event_subscription_default(api, validator):
try:
assert is_valid_update_rest_webhook_event_subscription(
validator,
update_rest_webhook_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_create_rest_webhook_event_subscription(json_schema_validate, obj):
json_schema_validate('jsd_9f41eb48a0da56949cfaddeecb51ab66_v2_2_1').validate(obj)
return True
def create_rest_webhook_event_subscription(api):
endpoint_result = api.event_management.create_rest_webhook_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_rest_webhook_event_subscription(api, validator):
try:
assert is_valid_create_rest_webhook_event_subscription(
validator,
create_rest_webhook_event_subscription(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def create_rest_webhook_event_subscription_default(api):
endpoint_result = api.event_management.create_rest_webhook_event_subscription(
active_validation=True,
payload=None
)
return endpoint_result
@pytest.mark.event_management
def test_create_rest_webhook_event_subscription_default(api, validator):
try:
assert is_valid_create_rest_webhook_event_subscription(
validator,
create_rest_webhook_event_subscription_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_auditlog_parent_records(json_schema_validate, obj):
json_schema_validate('jsd_9f8e3a0674c15fd58cd78f42dca37c7c_v2_2_1').validate(obj)
return True
def get_auditlog_parent_records(api):
endpoint_result = api.event_management.get_auditlog_parent_records(
category='string',
context='string',
description='string',
device_id='string',
domain='string',
end_time=0,
event_hierarchy='string',
event_id='string',
instance_id='string',
is_system_events=True,
limit=0,
name='string',
offset=0,
order='string',
severity='string',
site_id='string',
sort_by='string',
source='string',
start_time=0,
sub_domain='string',
user_id='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_parent_records(api, validator):
try:
assert is_valid_get_auditlog_parent_records(
validator,
get_auditlog_parent_records(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_auditlog_parent_records_default(api):
endpoint_result = api.event_management.get_auditlog_parent_records(
category=None,
context=None,
description=None,
device_id=None,
domain=None,
end_time=None,
event_hierarchy=None,
event_id=None,
instance_id=None,
is_system_events=None,
limit=None,
name=None,
offset=None,
order=None,
severity=None,
site_id=None,
sort_by=None,
source=None,
start_time=None,
sub_domain=None,
user_id=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_auditlog_parent_records_default(api, validator):
try:
assert is_valid_get_auditlog_parent_records(
validator,
get_auditlog_parent_records_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_eventartifact_count(json_schema_validate, obj):
json_schema_validate('jsd_a137e0b583c85ffe80fbbd85b480bf15_v2_2_1').validate(obj)
return True
def eventartifact_count(api):
endpoint_result = api.event_management.eventartifact_count(
)
return endpoint_result
@pytest.mark.event_management
def test_eventartifact_count(api, validator):
try:
assert is_valid_eventartifact_count(
validator,
eventartifact_count(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def eventartifact_count_default(api):
endpoint_result = api.event_management.eventartifact_count(
)
return endpoint_result
@pytest.mark.event_management
def test_eventartifact_count_default(api, validator):
try:
assert is_valid_eventartifact_count(
validator,
eventartifact_count_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_rest_webhook_subscription_details(json_schema_validate, obj):
json_schema_validate('jsd_86272f278c72555e9a56f554b2a21c85_v2_2_1').validate(obj)
return True
def get_rest_webhook_subscription_details(api):
endpoint_result = api.event_management.get_rest_webhook_subscription_details(
connector_type='string',
instance_id='string',
name='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_rest_webhook_subscription_details(api, validator):
try:
assert is_valid_get_rest_webhook_subscription_details(
validator,
get_rest_webhook_subscription_details(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_rest_webhook_subscription_details_default(api):
endpoint_result = api.event_management.get_rest_webhook_subscription_details(
connector_type=None,
instance_id=None,
name=None
)
return endpoint_result
@pytest.mark.event_management
def test_get_rest_webhook_subscription_details_default(api, validator):
try:
assert is_valid_get_rest_webhook_subscription_details(
validator,
get_rest_webhook_subscription_details_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
def is_valid_get_status_api_for_events(json_schema_validate, obj):
json_schema_validate('jsd_e1bd67a1a0225713ab23f0d0d3ceb4f6_v2_2_1').validate(obj)
return True
def get_status_api_for_events(api):
endpoint_result = api.event_management.get_status_api_for_events(
execution_id='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_status_api_for_events(api, validator):
try:
assert is_valid_get_status_api_for_events(
validator,
get_status_api_for_events(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest)):
print(original_e)
raise original_e
def get_status_api_for_events_default(api):
endpoint_result = api.event_management.get_status_api_for_events(
execution_id='string'
)
return endpoint_result
@pytest.mark.event_management
def test_get_status_api_for_events_default(api, validator):
try:
assert is_valid_get_status_api_for_events(
validator,
get_status_api_for_events_default(api)
)
except Exception as original_e:
with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)):
raise original_e
| 28.863014
| 95
| 0.705505
| 4,726
| 42,140
| 5.910495
| 0.04909
| 0.043497
| 0.034798
| 0.038664
| 0.92167
| 0.919629
| 0.917982
| 0.91519
| 0.903519
| 0.85297
| 0
| 0.020504
| 0.229212
| 42,140
| 1,459
| 96
| 28.882796
| 0.839475
| 0.027053
| 0
| 0.710232
| 0
| 0
| 0.043617
| 0.028322
| 0
| 0
| 0
| 0
| 0.046432
| 1
| 0.116079
| false
| 0
| 0.003439
| 0
| 0.189166
| 0.023216
| 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
|
435ba802f67bf5d3b4ad56fb9f2b89c19dce5931
| 123
|
py
|
Python
|
qmla/exploration_strategies/thesis_demos/__init__.py
|
Stewart-Wallace/QMLA
|
175123ca4e2b4f7af501034989b32f76999c386b
|
[
"MIT"
] | null | null | null |
qmla/exploration_strategies/thesis_demos/__init__.py
|
Stewart-Wallace/QMLA
|
175123ca4e2b4f7af501034989b32f76999c386b
|
[
"MIT"
] | null | null | null |
qmla/exploration_strategies/thesis_demos/__init__.py
|
Stewart-Wallace/QMLA
|
175123ca4e2b4f7af501034989b32f76999c386b
|
[
"MIT"
] | null | null | null |
from qmla.exploration_strategies.thesis_demos.demo import *
from qmla.exploration_strategies.thesis_demos.obj_fncs import *
| 61.5
| 63
| 0.878049
| 17
| 123
| 6.058824
| 0.588235
| 0.15534
| 0.368932
| 0.563107
| 0.776699
| 0.776699
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056911
| 123
| 2
| 63
| 61.5
| 0.887931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 8
|
78dab7a68b1754877be4adec17daa87a93cb8267
| 16,554
|
py
|
Python
|
source/backend/lambda_defaultschema/schema/stages.py
|
shyam-amazon/aws-cloudendure-migration-factory-solution
|
5d2aa971137346d2d9126b07776f2adc302410e0
|
[
"MIT-0"
] | 24
|
2020-06-03T22:59:18.000Z
|
2022-02-07T19:25:32.000Z
|
source/backend/lambda_defaultschema/schema/stages.py
|
russomi-labs/aws-cloudendure-migration-factory-solution
|
2e7386ff3d5fca7847730aef0b6b05794d5579c6
|
[
"MIT-0"
] | 4
|
2021-05-06T01:45:15.000Z
|
2021-10-16T23:32:34.000Z
|
source/backend/lambda_defaultschema/schema/stages.py
|
russomi-labs/aws-cloudendure-migration-factory-solution
|
2e7386ff3d5fca7847730aef0b6b05794d5579c6
|
[
"MIT-0"
] | 21
|
2020-06-03T23:23:04.000Z
|
2022-03-25T16:11:33.000Z
|
schema = [
{
"attributes": {
"L": [
{
"M": {
"attr_name": {
"S": "wave_name"
},
"attr_type": {
"S": "wave"
}
}
},
{
"M": {
"attr_name": {
"S": "wave_status"
},
"attr_type": {
"S": "wave"
}
}
},
{
"M": {
"attr_name": {
"S": "wave_start_time"
},
"attr_type": {
"S": "wave"
}
}
},
{
"M": {
"attr_name": {
"S": "wave_end_time"
},
"attr_type": {
"S": "wave"
}
}
},
{
"M": {
"attr_name": {
"S": "app_name"
},
"attr_type": {
"S": "app"
}
}
},
{
"M": {
"attr_name": {
"S": "wave_id"
},
"attr_type": {
"S": "app"
}
}
},
{
"M": {
"attr_name": {
"S": "cloudendure_projectname"
},
"attr_type": {
"S": "app"
}
}
},
{
"M": {
"attr_name": {
"S": "aws_accountid"
},
"attr_type": {
"S": "app"
}
}
},
{
"M": {
"attr_name": {
"S": "aws_region"
},
"attr_type": {
"S": "app"
}
}
},
{
"M": {
"attr_name": {
"S": "app_id"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "server_fqdn"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "server_os_family"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "server_os_version"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "server_tier"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "server_environment"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "instanceType"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "iamRole"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "private_ip"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "tenancy"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "subnet_IDs_test"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "securitygroup_IDs_test"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "subnet_IDs"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "securitygroup_IDs"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "tags"
},
"attr_type": {
"S": "server"
}
}
}
]
},
"stage_id": {
"S": "1"
},
"stage_name": {
"S": "Pre-migration"
}
},
{
"attributes": {
"L": [
{
"M": {
"attr_name": {
"S": "wave_id"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "cloudendure_projectname"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "aws_accountid"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "migration_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "replication_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
}
]
},
"stage_id": {
"S": "2"
},
"stage_name": {
"S": "Build"
}
},
{
"attributes": {
"L": [
{
"M": {
"attr_name": {
"S": "wave_id"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "cloudendure_projectname"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "aws_accountid"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "migration_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "replication_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
}
]
},
"stage_id": {
"S": "3"
},
"stage_name": {
"S": "Validate"
}
},
{
"attributes": {
"L": [
{
"M": {
"attr_name": {
"S": "wave_id"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "cloudendure_projectname"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "aws_accountid"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "replication_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "migration_status"
},
"attr_type": {
"S": "server"
},
"read_only": {
"BOOL": True
}
}
}
]
},
"stage_id": {
"S": "4"
},
"stage_name": {
"S": "Boot up testing"
}
},
{
"attributes": {
"L": [
{
"M": {
"attr_name": {
"S": "wave_id"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "cloudendure_projectname"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "aws_accountid"
},
"attr_type": {
"S": "app"
},
"read_only": {
"BOOL": True
}
}
},
{
"M": {
"attr_name": {
"S": "migration_status"
},
"attr_type": {
"S": "server"
}
}
},
{
"M": {
"attr_name": {
"S": "replication_status"
},
"attr_type": {
"S": "server"
}
}
}
]
},
"stage_id": {
"S": "5"
},
"stage_name": {
"S": "Cutover"
}
}
]
| 29.560714
| 58
| 0.136704
| 572
| 16,554
| 3.671329
| 0.097902
| 0.116667
| 0.188571
| 0.209524
| 0.901429
| 0.895714
| 0.895714
| 0.869048
| 0.805238
| 0.704286
| 0
| 0.001288
| 0.765434
| 16,554
| 559
| 59
| 29.613596
| 0.539531
| 0
| 0
| 0.45975
| 0
| 0
| 0.131932
| 0.008276
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
78e437474e98204887a2c136a507e2064b82af45
| 16,053
|
py
|
Python
|
skyportal/tests/api/test_thumbnail.py
|
glenn2763/skyportal
|
79dc11bfe08076d9c1f920bad85681ab001e22c8
|
[
"BSD-3-Clause"
] | null | null | null |
skyportal/tests/api/test_thumbnail.py
|
glenn2763/skyportal
|
79dc11bfe08076d9c1f920bad85681ab001e22c8
|
[
"BSD-3-Clause"
] | null | null | null |
skyportal/tests/api/test_thumbnail.py
|
glenn2763/skyportal
|
79dc11bfe08076d9c1f920bad85681ab001e22c8
|
[
"BSD-3-Clause"
] | null | null | null |
import os
import uuid
import datetime
import base64
from skyportal.tests import api
from skyportal.models import Thumbnail, DBSession, Photometry, Source
def test_token_user_post_get_thumbnail(upload_data_token, public_group):
name = str(uuid.uuid4())
status, data = api('POST', 'telescope',
data={'name': name,
'nickname': name,
'lat': 0.0,
'lon': 0.0,
'elevation': 0.0,
'diameter': 10.0,
'group_ids': [public_group.id]
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
telescope_id = data['data']['id']
status, data = api('POST', 'instrument',
data={'name': 'instrument_name',
'type': 'type',
'band': 'V',
'telescope_id': telescope_id
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
instrument_id = data['data']['id']
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': instrument_id,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
orig_source_thumbnail_count = len(DBSession.query(Source).filter(
Source.id == source_id).first().thumbnails)
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/14gqr_new.png'),
'rb').read())
ttype = 'new'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
thumbnail_id = data['data']['id']
assert isinstance(thumbnail_id, int)
status, data = api(
'GET',
f'thumbnail/{thumbnail_id}',
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
assert data['data']['thumbnail']['type'] == 'new'
assert (DBSession.query(Thumbnail).filter(Thumbnail.id == thumbnail_id)
.first().source.id) == source_id
assert len(DBSession.query(Source).filter(Source.id == source_id).first()
.thumbnails) == orig_source_thumbnail_count + 1
def test_token_user_delete_thumbnail_cascade_source(upload_data_token,
manage_sources_token,
public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
orig_source_thumbnail_count = len(DBSession.query(Source).filter(
Source.id == source_id).first().thumbnails)
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/14gqr_new.png'),
'rb').read())
ttype = 'new'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
thumbnail_id = data['data']['id']
assert isinstance(thumbnail_id, int)
status, data = api(
'GET',
f'thumbnail/{thumbnail_id}',
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
assert data['data']['thumbnail']['type'] == 'new'
assert (DBSession.query(Thumbnail).filter(Thumbnail.id == thumbnail_id)
.first().source.id) == source_id
assert len(DBSession.query(Source).filter(Source.id == source_id).first()
.thumbnails) == orig_source_thumbnail_count + 1
status, data = api(
'DELETE',
f'thumbnail/{thumbnail_id}',
token=manage_sources_token)
assert status == 200
assert data['status'] == 'success'
assert len(DBSession.query(Source).filter(Source.id == source_id).first()
.thumbnails) == orig_source_thumbnail_count
def test_token_user_post_get_thumbnail_phot_id(upload_data_token, public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
photometry_id = data['data']['ids'][0]
orig_source_thumbnail_count = len(DBSession.query(Source).filter(
Source.id == source_id).first().thumbnails)
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/14gqr_new.png'),
'rb').read())
ttype = 'new'
status, data = api('POST', 'thumbnail',
data={'photometry_id': photometry_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
thumbnail_id = data['data']['id']
assert isinstance(thumbnail_id, int)
status, data = api(
'GET',
f'thumbnail/{thumbnail_id}',
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
assert data['data']['thumbnail']['type'] == 'new'
assert (DBSession.query(Thumbnail).filter(Thumbnail.id == thumbnail_id)
.first().source.id) == source_id
assert len(DBSession.query(Source).filter(Source.id == source_id).first()
.thumbnails) == orig_source_thumbnail_count + 1
def test_cannot_post_thumbnail_invalid_ttype(upload_data_token, public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/14gqr_new.png'),
'rb').read())
ttype = 'invalid_ttype'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 400
assert data['status'] == 'error'
assert 'is not among the defined enum values' in data['message']
def test_cannot_post_thumbnail_invalid_image_type(upload_data_token, public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/candid-87704463155000_ref.jpg'),
'rb').read())
ttype = 'ref'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 400
assert data['status'] == 'error'
assert 'Invalid thumbnail image type. Only PNG are supported.' in data['message']
def test_cannot_post_thumbnail_invalid_size(upload_data_token, public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/14gqr_new_50px.png'),
'rb').read())
ttype = 'ref'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 400
assert data['status'] == 'error'
assert 'Invalid thumbnail size.' in data['message']
def test_cannot_post_thumbnail_invalid_file_type(upload_data_token, public_group):
source_id = str(uuid.uuid4())
status, data = api('POST', 'sources',
data={'id': source_id,
'ra': 234.22,
'dec': -22.33,
'redshift': 3,
'transient': False,
'ra_dis': 2.3,
'group_ids': [public_group.id]},
token=upload_data_token)
assert status == 200
assert data['data']['id'] == source_id
status, data = api('POST', 'photometry',
data={'source_id': source_id,
'observed_at': str(datetime.datetime.now()),
'time_format': 'iso',
'time_scale': 'utc',
'instrument_id': 1,
'mag': 12.24,
'e_mag': 0.031,
'lim_mag': 14.1,
'filter': 'V'
},
token=upload_data_token)
assert status == 200
assert data['status'] == 'success'
data = base64.b64encode(open(os.path.abspath('skyportal/tests/data/phot.csv'),
'rb').read())
ttype = 'ref'
status, data = api('POST', 'thumbnail',
data={'source_id': source_id,
'data': data,
'ttype': ttype
},
token=upload_data_token)
assert status == 400
assert data['status'] == 'error'
assert 'cannot identify image file' in data['message']
| 41.267352
| 103
| 0.442721
| 1,477
| 16,053
| 4.615437
| 0.083277
| 0.078627
| 0.055743
| 0.07628
| 0.908464
| 0.896582
| 0.892768
| 0.879126
| 0.879126
| 0.852574
| 0
| 0.035781
| 0.434187
| 16,053
| 388
| 104
| 41.373711
| 0.714742
| 0
| 0
| 0.828652
| 0
| 0
| 0.144833
| 0.021803
| 0
| 0
| 0
| 0
| 0.199438
| 1
| 0.019663
| false
| 0
| 0.016854
| 0
| 0.036517
| 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
|
6007410e8db039e6b7496e66d95c49b763f1487b
| 132
|
py
|
Python
|
__init__.py
|
MaVCArt/SDFGenerator
|
855f73fdef487ffe23e8c69f496b3c4c97a6ef7b
|
[
"MIT"
] | 4
|
2022-01-06T09:18:17.000Z
|
2022-01-07T11:56:46.000Z
|
__init__.py
|
MaVCArt/SDFGenerator
|
855f73fdef487ffe23e8c69f496b3c4c97a6ef7b
|
[
"MIT"
] | null | null | null |
__init__.py
|
MaVCArt/SDFGenerator
|
855f73fdef487ffe23e8c69f496b3c4c97a6ef7b
|
[
"MIT"
] | null | null | null |
from .main import generate_sdf
from .main import generate_sdf_data
from .main import flood_fill
from .main import generate_image_id
| 26.4
| 35
| 0.848485
| 22
| 132
| 4.818182
| 0.454545
| 0.301887
| 0.528302
| 0.622642
| 0.471698
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121212
| 132
| 4
| 36
| 33
| 0.913793
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 9
|
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