xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

b889e86e0a94bf54d90a0d8e3809a08fa855b2f6

200

py

Python

zvt/recorders/joinquant/finance_qtr/__init__.py

markqiu/zvt

1bcfb71279f2652c3600f0f8e45d941f98ceaa10

[ "MIT" ]

6

2020-09-03T10:02:00.000Z

2021-02-04T02:51:47.000Z

zvt/recorders/joinquant/finance_qtr/__init__.py

wlwd13303/zvt

23105a5bfdc3a5080c6c22d11e9e53d216688dea

[ "MIT" ]

null

zvt/recorders/joinquant/finance_qtr/__init__.py

wlwd13303/zvt

23105a5bfdc3a5080c6c22d11e9e53d216688dea

[ "MIT" ]

2

2020-07-08T04:15:40.000Z

2021-06-08T08:51:31.000Z

# -*- coding: utf-8 -*- from zvt.recorders.joinquant.finance_qtr.china_stock_income_statement_qtr_recorder import * from zvt.recorders.joinquant.finance_qtr.china_stock_cash_flow_qtr_recorder import *

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0.573248

0

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0

1

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0

1

0

7

b2149e5515a9b2e2fa6b855bf590d85d4ea54f3f

110,591

py

Python

qualys_cs_api/api/registry_api.py

jlk/qualys-cs-python-client

e2e39fd64d41fd6671d45343843ef36fa3ab59a4

[ "Apache-2.0" ]

null

qualys_cs_api/api/registry_api.py

jlk/qualys-cs-python-client

e2e39fd64d41fd6671d45343843ef36fa3ab59a4

[ "Apache-2.0" ]

null

qualys_cs_api/api/registry_api.py

jlk/qualys-cs-python-client

e2e39fd64d41fd6671d45343843ef36fa3ab59a4

[ "Apache-2.0" ]

1

2020-05-15T04:20:48.000Z

# coding: utf-8 """ Container Security APIs All features of the Container Security are available through REST APIs. Access support information at www.qualys.com/support/ Permissions: User must have the Container module enabled User must have API ACCESS permission # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from qualys_cs_api.api_client import ApiClient from qualys_cs_api.exceptions import ( ApiTypeError, ApiValueError ) class RegistryApi(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 cancel_schedule_using_post(self, registry_id, schedule_id, **kwargs): # noqa: E501 """Cancel registry schedule in your account # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.cancel_schedule_using_post(registry_id, schedule_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to cancel the schedule for. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to cancel. You can only cancel schedules which are in the state: Created, Queued, Paused, Running, BaselineQueued or BasinelineRunning (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.cancel_schedule_using_post_with_http_info(registry_id, schedule_id, **kwargs) # noqa: E501 def cancel_schedule_using_post_with_http_info(self, registry_id, schedule_id, **kwargs): # noqa: E501 """Cancel registry schedule in your account # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.cancel_schedule_using_post_with_http_info(registry_id, schedule_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to cancel the schedule for. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to cancel. You can only cancel schedules which are in the state: Created, Queued, Paused, Running, BaselineQueued or BasinelineRunning (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'schedule_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') 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 cancel_schedule_using_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `cancel_schedule_using_post`") # noqa: E501 # verify the required parameter 'schedule_id' is set if self.api_client.client_side_validation and ('schedule_id' not in local_var_params or # noqa: E501 local_var_params['schedule_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_id` when calling `cancel_schedule_using_post`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 if 'schedule_id' in local_var_params: path_params['scheduleId'] = local_var_params['schedule_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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule/{scheduleId}/cancel', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_aws_connector_using_post(self, aws_connector_request, **kwargs): # noqa: E501 """Create new AWS connector # 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_aws_connector_using_post(aws_connector_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param AWSConnectorRequest aws_connector_request: Provide parameter values in the format shown under Example Value. (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.create_aws_connector_using_post_with_http_info(aws_connector_request, **kwargs) # noqa: E501 def create_aws_connector_using_post_with_http_info(self, aws_connector_request, **kwargs): # noqa: E501 """Create new AWS connector # 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_aws_connector_using_post_with_http_info(aws_connector_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param AWSConnectorRequest aws_connector_request: Provide parameter values in the format shown under Example Value. (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 = ['aws_connector_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_aws_connector_using_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'aws_connector_request' is set if self.api_client.client_side_validation and ('aws_connector_request' not in local_var_params or # noqa: E501 local_var_params['aws_connector_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `aws_connector_request` when calling `create_aws_connector_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'aws_connector_request' in local_var_params: body_params = local_var_params['aws_connector_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/aws/connector', '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_registry_using_post(self, registry_request, **kwargs): # noqa: E501 """Create a new registry # 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_registry_using_post(registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param RegistryRequest registry_request: Provide parameter values in the format shown under Example Value. Parameters accountId, arn, and region are required when the registryType is AWS ECR and you want to create a new AWS connector. Specify the ARN if you want to use an existing AWS connector, or if you want to create a new connector. All parameters are required other than dockerHubOrgName which is optional. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_registry_using_post_with_http_info(registry_request, **kwargs) # noqa: E501 def create_registry_using_post_with_http_info(self, registry_request, **kwargs): # noqa: E501 """Create a new registry # 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_registry_using_post_with_http_info(registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param RegistryRequest registry_request: Provide parameter values in the format shown under Example Value. Parameters accountId, arn, and region are required when the registryType is AWS ECR and you want to create a new AWS connector. Specify the ARN if you want to use an existing AWS connector, or if you want to create a new connector. All parameters are required other than dockerHubOrgName which is optional. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_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_registry_using_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_request' is set if self.api_client.client_side_validation and ('registry_request' not in local_var_params or # noqa: E501 local_var_params['registry_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_request` when calling `create_registry_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'registry_request' in local_var_params: body_params = local_var_params['registry_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_schedule_using_post(self, registry_id, schedule_request, **kwargs): # noqa: E501 """Create a new registry scan schedule # 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_schedule_using_post(registry_id, schedule_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry you want to scan. (required) :param ScheduleRequest schedule_request: Provide parameter values in the format shown under Example Value. Specify \"onDemand\": true if you want to scan immediately. Otherwise, Automatic scan will be triggered everyday at a set time. For days, specify 1 to 7 days / 14 (for last two weeks). For schedule, specify time in UTC, e.g., 19:30. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_schedule_using_post_with_http_info(registry_id, schedule_request, **kwargs) # noqa: E501 def create_schedule_using_post_with_http_info(self, registry_id, schedule_request, **kwargs): # noqa: E501 """Create a new registry scan schedule # 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_schedule_using_post_with_http_info(registry_id, schedule_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry you want to scan. (required) :param ScheduleRequest schedule_request: Provide parameter values in the format shown under Example Value. Specify \"onDemand\": true if you want to scan immediately. Otherwise, Automatic scan will be triggered everyday at a set time. For days, specify 1 to 7 days / 14 (for last two weeks). For schedule, specify time in UTC, e.g., 19:30. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'schedule_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_schedule_using_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `create_schedule_using_post`") # noqa: E501 # verify the required parameter 'schedule_request' is set if self.api_client.client_side_validation and ('schedule_request' not in local_var_params or # noqa: E501 local_var_params['schedule_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_request` when calling `create_schedule_using_post`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule_request' in local_var_params: body_params = local_var_params['schedule_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_registries_using_delete(self, registry_ids, **kwargs): # noqa: E501 """Delete multiple registries in your account # 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_registries_using_delete(registry_ids, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param list[str] registry_ids: Provide ID/UUIDs of the registries you want to delete. Should be in the form of an array, [\"regID1\",\"regID2\",\"regID3\"]. Note: You cannot delete registries whose schedules are in “Running” state. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_registries_using_delete_with_http_info(registry_ids, **kwargs) # noqa: E501 def delete_registries_using_delete_with_http_info(self, registry_ids, **kwargs): # noqa: E501 """Delete multiple registries in your account # 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_registries_using_delete_with_http_info(registry_ids, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param list[str] registry_ids: Provide ID/UUIDs of the registries you want to delete. Should be in the form of an array, [\"regID1\",\"regID2\",\"regID3\"]. Note: You cannot delete registries whose schedules are in “Running” state. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_ids'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_registries_using_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_ids' is set if self.api_client.client_side_validation and ('registry_ids' not in local_var_params or # noqa: E501 local_var_params['registry_ids'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_ids` when calling `delete_registries_using_delete`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'registry_ids' in local_var_params: body_params = local_var_params['registry_ids'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_registry_using_delete(self, registry_id, **kwargs): # noqa: E501 """Delete registry in your account # 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_registry_using_delete(registry_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. Note: You cannot delete a registry whose schedules are in “Running” state. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_registry_using_delete_with_http_info(registry_id, **kwargs) # noqa: E501 def delete_registry_using_delete_with_http_info(self, registry_id, **kwargs): # noqa: E501 """Delete registry in your account # 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_registry_using_delete_with_http_info(registry_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. Note: You cannot delete a registry whose schedules are in “Running” state. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_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') 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_registry_using_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `delete_registry_using_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_schedule_using_delete(self, registry_id, schedule_id, **kwargs): # noqa: E501 """Delete registry schedule in your account # 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_schedule_using_delete(registry_id, schedule_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to delete. Note: You cannot delete a schedule which is in “Running” state. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_schedule_using_delete_with_http_info(registry_id, schedule_id, **kwargs) # noqa: E501 def delete_schedule_using_delete_with_http_info(self, registry_id, schedule_id, **kwargs): # noqa: E501 """Delete registry schedule in your account # 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_schedule_using_delete_with_http_info(registry_id, schedule_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to delete. Note: You cannot delete a schedule which is in “Running” state. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'schedule_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') 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_schedule_using_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `delete_schedule_using_delete`") # noqa: E501 # verify the required parameter 'schedule_id' is set if self.api_client.client_side_validation and ('schedule_id' not in local_var_params or # noqa: E501 local_var_params['schedule_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_id` when calling `delete_schedule_using_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 if 'schedule_id' in local_var_params: path_params['scheduleId'] = local_var_params['schedule_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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule/{scheduleId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_schedules_using_delete(self, registry_id, schedule_ids, **kwargs): # noqa: E501 """Delete multiple registry schedules in your account # 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_schedules_using_delete(registry_id, schedule_ids, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. (required) :param list[str] schedule_ids: Provide the ID/UUIDs of the schedules you want to delete. Should be in the form of an array, [\"schID1\",\"schID2\",\"schID3\"]. Note: You cannot delete schedules that are in “Running” state (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_schedules_using_delete_with_http_info(registry_id, schedule_ids, **kwargs) # noqa: E501 def delete_schedules_using_delete_with_http_info(self, registry_id, schedule_ids, **kwargs): # noqa: E501 """Delete multiple registry schedules in your account # 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_schedules_using_delete_with_http_info(registry_id, schedule_ids, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to delete. (required) :param list[str] schedule_ids: Provide the ID/UUIDs of the schedules you want to delete. Should be in the form of an array, [\"schID1\",\"schID2\",\"schID3\"]. Note: You cannot delete schedules that are in “Running” state (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'schedule_ids'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_schedules_using_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `delete_schedules_using_delete`") # noqa: E501 # verify the required parameter 'schedule_ids' is set if self.api_client.client_side_validation and ('schedule_ids' not in local_var_params or # noqa: E501 local_var_params['schedule_ids'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_ids` when calling `delete_schedules_using_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule_ids' in local_var_params: body_params = local_var_params['schedule_ids'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule/', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_aws_base_using_get(self, **kwargs): # noqa: E501 """Fetch AWS account ID and External ID for your account # 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_aws_base_using_get(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :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: AWSBase If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_aws_base_using_get_with_http_info(**kwargs) # noqa: E501 def get_aws_base_using_get_with_http_info(self, **kwargs): # noqa: E501 """Fetch AWS account ID and External ID for your account # 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_aws_base_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :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(AWSBase, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_aws_base_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/aws-base', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AWSBase', # 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_aws_connectors_list_using_get(self, **kwargs): # noqa: E501 """Show a list of AWS connectors in your account # 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_aws_connectors_list_using_get(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :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: list[AWSConnector] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_aws_connectors_list_using_get_with_http_info(**kwargs) # noqa: E501 def get_aws_connectors_list_using_get_with_http_info(self, **kwargs): # noqa: E501 """Show a list of AWS connectors in your account # 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_aws_connectors_list_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :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(list[AWSConnector], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_aws_connectors_list_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/aws/connectors', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[AWSConnector]', # 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_aws_connectors_via_customer_account_id_using_get(self, account_id, **kwargs): # noqa: E501 """Show a list of AWS connectors for an AWS account ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_aws_connectors_via_customer_account_id_using_get(account_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str account_id: Provide the AWS account Id to get a list of connectors. (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: list[AWSConnector] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_aws_connectors_via_customer_account_id_using_get_with_http_info(account_id, **kwargs) # noqa: E501 def get_aws_connectors_via_customer_account_id_using_get_with_http_info(self, account_id, **kwargs): # noqa: E501 """Show a list of AWS connectors for an AWS account ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_aws_connectors_via_customer_account_id_using_get_with_http_info(account_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str account_id: Provide the AWS account Id to get a list of connectors. (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(list[AWSConnector], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['account_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') 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_aws_connectors_via_customer_account_id_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'account_id' is set if self.api_client.client_side_validation and ('account_id' not in local_var_params or # noqa: E501 local_var_params['account_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `account_id` when calling `get_aws_connectors_via_customer_account_id_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'account_id' in local_var_params: path_params['accountId'] = local_var_params['account_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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/aws/connectors/{accountId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[AWSConnector]', # 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_registry_details_using_get(self, registry_id, **kwargs): # noqa: E501 """Show details of a registry # 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_registry_details_using_get(registry_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to fetch the details for. (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: RegistryDetails If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_registry_details_using_get_with_http_info(registry_id, **kwargs) # noqa: E501 def get_registry_details_using_get_with_http_info(self, registry_id, **kwargs): # noqa: E501 """Show details of a registry # 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_registry_details_using_get_with_http_info(registry_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to fetch the details for. (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(RegistryDetails, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_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') 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_registry_details_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `get_registry_details_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RegistryDetails', # 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_registry_pivot_data_with_list_using_get(self, page_no, page_size, **kwargs): # noqa: E501 """Show a list of registries in your account # 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_registry_pivot_data_with_list_using_get(page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the registries list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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: PivotListResponseRegistryResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_registry_pivot_data_with_list_using_get_with_http_info(page_no, page_size, **kwargs) # noqa: E501 def get_registry_pivot_data_with_list_using_get_with_http_info(self, page_no, page_size, **kwargs): # noqa: E501 """Show a list of registries in your account # 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_registry_pivot_data_with_list_using_get_with_http_info(page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the registries list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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(PivotListResponseRegistryResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_no', 'page_size', 'filter', 'sort'] # 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_registry_pivot_data_with_list_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_no' is set if self.api_client.client_side_validation and ('page_no' not in local_var_params or # noqa: E501 local_var_params['page_no'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_no` when calling `get_registry_pivot_data_with_list_using_get`") # noqa: E501 # verify the required parameter 'page_size' is set if self.api_client.client_side_validation and ('page_size' not in local_var_params or # noqa: E501 local_var_params['page_size'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_size` when calling `get_registry_pivot_data_with_list_using_get`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'filter' in local_var_params and local_var_params['filter'] is not None: # noqa: E501 query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'page_no' in local_var_params and local_var_params['page_no'] is not None: # noqa: E501 query_params.append(('pageNo', local_var_params['page_no'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('pageSize', local_var_params['page_size'])) # 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 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PivotListResponseRegistryResponse', # 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_registry_repo_pivot_list_using_get(self, registry_id, page_no, page_size, **kwargs): # noqa: E501 """Show a list of repositories in a registry # 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_registry_repo_pivot_list_using_get(registry_id, page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry for which you want to list the repositories. (required) :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the repository list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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: PivotListResponseRegistryRepoResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_registry_repo_pivot_list_using_get_with_http_info(registry_id, page_no, page_size, **kwargs) # noqa: E501 def get_registry_repo_pivot_list_using_get_with_http_info(self, registry_id, page_no, page_size, **kwargs): # noqa: E501 """Show a list of repositories in a registry # 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_registry_repo_pivot_list_using_get_with_http_info(registry_id, page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry for which you want to list the repositories. (required) :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the repository list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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(PivotListResponseRegistryRepoResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'page_no', 'page_size', 'filter', 'sort'] # 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_registry_repo_pivot_list_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `get_registry_repo_pivot_list_using_get`") # noqa: E501 # verify the required parameter 'page_no' is set if self.api_client.client_side_validation and ('page_no' not in local_var_params or # noqa: E501 local_var_params['page_no'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_no` when calling `get_registry_repo_pivot_list_using_get`") # noqa: E501 # verify the required parameter 'page_size' is set if self.api_client.client_side_validation and ('page_size' not in local_var_params or # noqa: E501 local_var_params['page_size'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_size` when calling `get_registry_repo_pivot_list_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 query_params = [] if 'filter' in local_var_params and local_var_params['filter'] is not None: # noqa: E501 query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'page_no' in local_var_params and local_var_params['page_no'] is not None: # noqa: E501 query_params.append(('pageNo', local_var_params['page_no'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('pageSize', local_var_params['page_size'])) # 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 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/repository', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PivotListResponseRegistryRepoResponse', # 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_schedule_pivot_list_using_get(self, registry_id, page_no, page_size, **kwargs): # noqa: E501 """Show a list of schedules created for a registry # 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_schedule_pivot_list_using_get(registry_id, page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry for which you want to list the schedules. (required) :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the repository list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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: PivotListResponseScheduleResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_schedule_pivot_list_using_get_with_http_info(registry_id, page_no, page_size, **kwargs) # noqa: E501 def get_schedule_pivot_list_using_get_with_http_info(self, registry_id, page_no, page_size, **kwargs): # noqa: E501 """Show a list of schedules created for a registry # 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_schedule_pivot_list_using_get_with_http_info(registry_id, page_no, page_size, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID of the registry for which you want to list the schedules. (required) :param int page_no: The page to be returned. (required) :param int page_size: The number of records per page to be included in the response. (required) :param str filter: Filter the repository list by providing a query using Qualys syntax. <a href='/cs/help/search/language.htm' target='_blank'>Click here</a> for help with creating your query. :param str sort: Sort the results using a Qualys token. For example <a href='/cs/help/search_tips/sortable_tokens.htm'>Click here</a> for a listing of tokens. :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(PivotListResponseScheduleResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'page_no', 'page_size', 'filter', 'sort'] # 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_schedule_pivot_list_using_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `get_schedule_pivot_list_using_get`") # noqa: E501 # verify the required parameter 'page_no' is set if self.api_client.client_side_validation and ('page_no' not in local_var_params or # noqa: E501 local_var_params['page_no'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_no` when calling `get_schedule_pivot_list_using_get`") # noqa: E501 # verify the required parameter 'page_size' is set if self.api_client.client_side_validation and ('page_size' not in local_var_params or # noqa: E501 local_var_params['page_size'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_size` when calling `get_schedule_pivot_list_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 query_params = [] if 'filter' in local_var_params and local_var_params['filter'] is not None: # noqa: E501 query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'page_no' in local_var_params and local_var_params['page_no'] is not None: # noqa: E501 query_params.append(('pageNo', local_var_params['page_no'])) # noqa: E501 if 'page_size' in local_var_params and local_var_params['page_size'] is not None: # noqa: E501 query_params.append(('pageSize', local_var_params['page_size'])) # 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 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PivotListResponseScheduleResponse', # 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_registry_using_put(self, registry_id, registry_request, **kwargs): # noqa: E501 """Update existing registry in your account # 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_registry_using_put(registry_id, registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to update. (required) :param RegistryRequest registry_request: Provide parameter values in the format shown under Example Value. registryType and registryUri are required even though they are not updatable. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_registry_using_put_with_http_info(registry_id, registry_request, **kwargs) # noqa: E501 def update_registry_using_put_with_http_info(self, registry_id, registry_request, **kwargs): # noqa: E501 """Update existing registry in your account # 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_registry_using_put_with_http_info(registry_id, registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to update. (required) :param RegistryRequest registry_request: Provide parameter values in the format shown under Example Value. registryType and registryUri are required even though they are not updatable. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'registry_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_registry_using_put" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `update_registry_using_put`") # noqa: E501 # verify the required parameter 'registry_request' is set if self.api_client.client_side_validation and ('registry_request' not in local_var_params or # noqa: E501 local_var_params['registry_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_request` when calling `update_registry_using_put`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'registry_request' in local_var_params: body_params = local_var_params['registry_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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_schedule_using_put(self, registry_id, schedule_id, schedule_request, **kwargs): # noqa: E501 """Update existing registry schedule in your account # 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_schedule_using_put(registry_id, schedule_id, schedule_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to update. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to update. (required) :param ScheduleRequest schedule_request: Provide parameter values in the format shown under Example Value. Specify \"onDemand\": true if you want to scan immediately. Otherwise, Automatic scan will be triggered everyday at a set time. For days, specify 1 to 7 days / 14 (for last two weeks). For schedule, specify time in UTC, e.g., 19:30. (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: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_schedule_using_put_with_http_info(registry_id, schedule_id, schedule_request, **kwargs) # noqa: E501 def update_schedule_using_put_with_http_info(self, registry_id, schedule_id, schedule_request, **kwargs): # noqa: E501 """Update existing registry schedule in your account # 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_schedule_using_put_with_http_info(registry_id, schedule_id, schedule_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str registry_id: Provide the ID/UUID of the registry you want to update. (required) :param str schedule_id: Provide the ID/UUID of the schedule you want to update. (required) :param ScheduleRequest schedule_request: Provide parameter values in the format shown under Example Value. Specify \"onDemand\": true if you want to scan immediately. Otherwise, Automatic scan will be triggered everyday at a set time. For days, specify 1 to 7 days / 14 (for last two weeks). For schedule, specify time in UTC, e.g., 19:30. (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(str, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_id', 'schedule_id', 'schedule_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_schedule_using_put" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_id' is set if self.api_client.client_side_validation and ('registry_id' not in local_var_params or # noqa: E501 local_var_params['registry_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_id` when calling `update_schedule_using_put`") # noqa: E501 # verify the required parameter 'schedule_id' is set if self.api_client.client_side_validation and ('schedule_id' not in local_var_params or # noqa: E501 local_var_params['schedule_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_id` when calling `update_schedule_using_put`") # noqa: E501 # verify the required parameter 'schedule_request' is set if self.api_client.client_side_validation and ('schedule_request' not in local_var_params or # noqa: E501 local_var_params['schedule_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `schedule_request` when calling `update_schedule_using_put`") # noqa: E501 collection_formats = {} path_params = {} if 'registry_id' in local_var_params: path_params['registryId'] = local_var_params['registry_id'] # noqa: E501 if 'schedule_id' in local_var_params: path_params['scheduleId'] = local_var_params['schedule_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'schedule_request' in local_var_params: body_params = local_var_params['schedule_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/{registryId}/schedule/{scheduleId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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 validate_registry_using_post(self, registry_request, **kwargs): # noqa: E501 """Validate information for new registry # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.validate_registry_using_post(registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param RegistryRequest registry_request: Validate parameters for a registry you intend to create. Provide parameter values in the format shown under Example Value. Parameters accountId, arn, and region are required when the registryType is AWS ECR and you want to create a new AWS connector. Specify the ARN if you want to use an existing AWS connector, or if you want to create a new connector. All parameters are required other than dockerHubOrgName which is optional. (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: bool If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.validate_registry_using_post_with_http_info(registry_request, **kwargs) # noqa: E501 def validate_registry_using_post_with_http_info(self, registry_request, **kwargs): # noqa: E501 """Validate information for new registry # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.validate_registry_using_post_with_http_info(registry_request, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param RegistryRequest registry_request: Validate parameters for a registry you intend to create. Provide parameter values in the format shown under Example Value. Parameters accountId, arn, and region are required when the registryType is AWS ECR and you want to create a new AWS connector. Specify the ARN if you want to use an existing AWS connector, or if you want to create a new connector. All parameters are required other than dockerHubOrgName which is optional. (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(bool, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['registry_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 validate_registry_using_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'registry_request' is set if self.api_client.client_side_validation and ('registry_request' not in local_var_params or # noqa: E501 local_var_params['registry_request'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `registry_request` when calling `validate_registry_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'registry_request' in local_var_params: body_params = local_var_params['registry_request'] # 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 = [] # noqa: E501 return self.api_client.call_api( '/v1.1/registry/validate', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='bool', # 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)

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b29a6f3baaddf80c3b1e86a7874a671920097023

21,543

py

Python

cinder/tests/unit/api/v3/test_group_snapshots.py

2020human/cinder

04528318848620e4ce2639ea2dd5323783dc7a1f

[ "Apache-2.0" ]

null

cinder/tests/unit/api/v3/test_group_snapshots.py

2020human/cinder

04528318848620e4ce2639ea2dd5323783dc7a1f

[ "Apache-2.0" ]

null

cinder/tests/unit/api/v3/test_group_snapshots.py

2020human/cinder

04528318848620e4ce2639ea2dd5323783dc7a1f

[ "Apache-2.0" ]

null

# Copyright (C) 2016 EMC Corporation. # 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. """ Tests for group_snapshot code. """ import ddt import mock import webob from cinder.api.v3 import group_snapshots as v3_group_snapshots from cinder import context from cinder import db from cinder import exception from cinder.group import api as group_api from cinder import objects from cinder.objects import fields from cinder import test from cinder.tests.unit.api import fakes from cinder.tests.unit import fake_constants as fake from cinder.tests.unit import utils import cinder.volume GROUP_MICRO_VERSION = '3.14' @ddt.ddt class GroupSnapshotsAPITestCase(test.TestCase): """Test Case for group_snapshots API.""" def setUp(self): super(GroupSnapshotsAPITestCase, self).setUp() self.controller = v3_group_snapshots.GroupSnapshotsController() self.volume_api = cinder.volume.API() self.context = context.get_admin_context() self.context.project_id = fake.PROJECT_ID self.context.user_id = fake.USER_ID self.user_ctxt = context.RequestContext( fake.USER_ID, fake.PROJECT_ID, auth_token=True) def test_show_group_snapshot(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, group_snapshot.id), version=GROUP_MICRO_VERSION) res_dict = self.controller.show(req, group_snapshot.id) self.assertEqual(1, len(res_dict)) self.assertEqual('this is a test group snapshot', res_dict['group_snapshot']['description']) self.assertEqual('test_group_snapshot', res_dict['group_snapshot']['name']) self.assertEqual('creating', res_dict['group_snapshot']['status']) group_snapshot.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() def test_show_group_snapshot_with_group_snapshot_NotFound(self): req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, fake.WILL_NOT_BE_FOUND_ID), version=GROUP_MICRO_VERSION) self.assertRaises(exception.GroupSnapshotNotFound, self.controller.show, req, fake.WILL_NOT_BE_FOUND_ID) def test_list_group_snapshots_json(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot1 = utils.create_group_snapshot( self.context, group_id=group.id, group_type_id=group.group_type_id) group_snapshot2 = utils.create_group_snapshot( self.context, group_id=group.id, group_type_id=group.group_type_id) group_snapshot3 = utils.create_group_snapshot( self.context, group_id=group.id, group_type_id=group.group_type_id) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) res_dict = self.controller.index(req) self.assertEqual(1, len(res_dict)) self.assertEqual(group_snapshot1.id, res_dict['group_snapshots'][0]['id']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][0]['name']) self.assertEqual(group_snapshot2.id, res_dict['group_snapshots'][1]['id']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][1]['name']) self.assertEqual(group_snapshot3.id, res_dict['group_snapshots'][2]['id']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][2]['name']) group_snapshot3.destroy() group_snapshot2.destroy() group_snapshot1.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() def test_list_group_snapshots_detail_json(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot1 = utils.create_group_snapshot( self.context, group_id=group.id) group_snapshot2 = utils.create_group_snapshot( self.context, group_id=group.id) group_snapshot3 = utils.create_group_snapshot( self.context, group_id=group.id) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/detail' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) res_dict = self.controller.detail(req) self.assertEqual(1, len(res_dict)) self.assertEqual(3, len(res_dict['group_snapshots'])) self.assertEqual('this is a test group snapshot', res_dict['group_snapshots'][0]['description']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][0]['name']) self.assertEqual(group_snapshot1.id, res_dict['group_snapshots'][0]['id']) self.assertEqual('creating', res_dict['group_snapshots'][0]['status']) self.assertEqual('this is a test group snapshot', res_dict['group_snapshots'][1]['description']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][1]['name']) self.assertEqual(group_snapshot2.id, res_dict['group_snapshots'][1]['id']) self.assertEqual('creating', res_dict['group_snapshots'][1]['status']) self.assertEqual('this is a test group snapshot', res_dict['group_snapshots'][2]['description']) self.assertEqual('test_group_snapshot', res_dict['group_snapshots'][2]['name']) self.assertEqual(group_snapshot3.id, res_dict['group_snapshots'][2]['id']) self.assertEqual('creating', res_dict['group_snapshots'][2]['status']) group_snapshot3.destroy() group_snapshot2.destroy() group_snapshot1.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() @mock.patch( 'cinder.api.openstack.wsgi.Controller.validate_name_and_description') @mock.patch('cinder.db.volume_type_get') @mock.patch('cinder.quota.VolumeTypeQuotaEngine.reserve') def test_create_group_snapshot_json(self, mock_quota, mock_vol_type, mock_validate): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] body = {"group_snapshot": {"name": "group_snapshot1", "description": "Group Snapshot 1", "group_id": group.id}} req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) res_dict = self.controller.create(req, body) self.assertEqual(1, len(res_dict)) self.assertIn('id', res_dict['group_snapshot']) self.assertTrue(mock_validate.called) group.destroy() group_snapshot = objects.GroupSnapshot.get_by_id( context.get_admin_context(), res_dict['group_snapshot']['id']) db.volume_destroy(context.get_admin_context(), volume_id) group_snapshot.destroy() @mock.patch( 'cinder.api.openstack.wsgi.Controller.validate_name_and_description') @mock.patch('cinder.db.volume_type_get') def test_create_group_snapshot_when_volume_in_error_status( self, mock_vol_type, mock_validate): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, status='error', group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] body = {"group_snapshot": {"name": "group_snapshot1", "description": "Group Snapshot 1", "group_id": group.id}} req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.create, req, body) self.assertTrue(mock_validate.called) group.destroy() db.volume_destroy(context.get_admin_context(), volume_id) def test_create_group_snapshot_with_no_body(self): # omit body from the request req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.create, req, None) @mock.patch.object(group_api.API, 'create_group_snapshot', side_effect=exception.InvalidGroupSnapshot( reason='Invalid group snapshot')) def test_create_with_invalid_group_snapshot(self, mock_create_group_snap): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, status='error', group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] body = {"group_snapshot": {"name": "group_snapshot1", "description": "Group Snapshot 1", "group_id": group.id}} req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.create, req, body) group.destroy() db.volume_destroy(context.get_admin_context(), volume_id) @mock.patch.object(group_api.API, 'create_group_snapshot', side_effect=exception.GroupSnapshotNotFound( group_snapshot_id='invalid_id')) def test_create_with_group_snapshot_not_found(self, mock_create_grp_snap): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, status='error', group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] body = {"group_snapshot": {"name": "group_snapshot1", "description": "Group Snapshot 1", "group_id": group.id}} req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) self.assertRaises(exception.GroupSnapshotNotFound, self.controller.create, req, body) group.destroy() db.volume_destroy(context.get_admin_context(), volume_id) def test_create_group_snapshot_from_empty_group(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) body = {"group_snapshot": {"name": "group_snapshot1", "description": "Group Snapshot 1", "group_id": group.id}} req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots' % fake.PROJECT_ID, version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.create, req, body) group.destroy() def test_delete_group_snapshot_available(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id, status='available') req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, group_snapshot.id), version=GROUP_MICRO_VERSION) res_dict = self.controller.delete(req, group_snapshot.id) group_snapshot = objects.GroupSnapshot.get_by_id(self.context, group_snapshot.id) self.assertEqual(202, res_dict.status_int) self.assertEqual('deleting', group_snapshot.status) group_snapshot.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() def test_delete_group_snapshot_available_used_as_source(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id, status='available') group2 = utils.create_group( self.context, status='creating', group_snapshot_id=group_snapshot.id, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, group_snapshot.id), version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.delete, req, group_snapshot.id) group_snapshot.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() group2.destroy() def test_delete_group_snapshot_with_group_snapshot_NotFound(self): req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, fake.WILL_NOT_BE_FOUND_ID), version=GROUP_MICRO_VERSION) self.assertRaises(exception.GroupSnapshotNotFound, self.controller.delete, req, fake.WILL_NOT_BE_FOUND_ID) def test_delete_group_snapshot_with_invalid_group_snapshot(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID],) volume_id = utils.create_volume( self.context, group_id=group.id, volume_type_id=fake.VOLUME_TYPE_ID)['id'] group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id, status='invalid') req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s' % (fake.PROJECT_ID, group_snapshot.id), version=GROUP_MICRO_VERSION) self.assertRaises(webob.exc.HTTPBadRequest, self.controller.delete, req, group_snapshot.id) group_snapshot.destroy() db.volume_destroy(context.get_admin_context(), volume_id) group.destroy() @ddt.data(('3.11', 'fake_snapshot_001', fields.GroupSnapshotStatus.AVAILABLE, exception.VersionNotFoundForAPIMethod), ('3.18', 'fake_snapshot_001', fields.GroupSnapshotStatus.AVAILABLE, exception.VersionNotFoundForAPIMethod), ('3.19', 'fake_snapshot_001', fields.GroupSnapshotStatus.AVAILABLE, exception.GroupSnapshotNotFound)) @ddt.unpack def test_reset_group_snapshot_status_illegal(self, version, group_snapshot_id, status, exceptions): req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s/action' % (fake.PROJECT_ID, group_snapshot_id), version=version) body = {"reset_status": { "status": status }} self.assertRaises(exceptions, self.controller.reset_status, req, group_snapshot_id, body) def test_reset_group_snapshot_status_invalid_status(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID]) group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id, status=fields.GroupSnapshotStatus.CREATING) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s/action' % (fake.PROJECT_ID, group_snapshot.id), version='3.19') body = {"reset_status": { "status": "invalid_test_status" }} self.assertRaises(webob.exc.HTTPBadRequest, self.controller.reset_status, req, group_snapshot.id, body) def test_reset_group_snapshot_status(self): group = utils.create_group( self.context, group_type_id=fake.GROUP_TYPE_ID, volume_type_ids=[fake.VOLUME_TYPE_ID]) group_snapshot = utils.create_group_snapshot( self.context, group_id=group.id, status=fields.GroupSnapshotStatus.CREATING) req = fakes.HTTPRequest.blank('/v3/%s/group_snapshots/%s/action' % (fake.PROJECT_ID, group_snapshot.id), version='3.19') body = {"reset_status": { "status": fields.GroupSnapshotStatus.AVAILABLE }} response = self.controller.reset_status(req, group_snapshot.id, body) g_snapshot = objects.GroupSnapshot.get_by_id(self.context, group_snapshot.id) self.assertEqual(202, response.status_int) self.assertEqual(fields.GroupSnapshotStatus.AVAILABLE, g_snapshot.status)

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78

0.570348

2,249

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5.160071

0.088039

0.105299

0.046876

0.032572

0.821542

0.799052

0.78897

0.766738

0.751314

0.713744

0

0.007981

0.336954

21,543

492

79

43.786585

0.804467

0.032493

0

0.75644

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0.097954

0.033388

0

0.103045

1

0.042155

false

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0.035129

0

0.079625

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null

0

1

0

1

0

null

0

7

b2ac571a355e52266fbb237ce4228917534e4002

88,425

py

Python

examples/prevention.py

git-afsantos/hpl-rv-gen

3ffb2298bc8706669b00980b01e9e23fffdd839a

[ "MIT" ]

1

2021-07-16T05:19:27.000Z

examples/prevention.py

git-afsantos/hpl-rv-gen

3ffb2298bc8706669b00980b01e9e23fffdd839a

[ "MIT" ]

null

examples/prevention.py

git-afsantos/hpl-rv-gen

3ffb2298bc8706669b00980b01e9e23fffdd839a

[ "MIT" ]

null

class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a { True } forbids /b { True }''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: return False # nothing to do if self._state == 3: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a { True } forbids /b { True } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a { (data > 0) } forbids /b { (data < 0) }''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if (msg.data < 0): self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: return False # nothing to do if self._state == 3: if (msg.data > 0): self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a { (data > 0) } forbids /b { (data < 0) } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if (msg.data < 0): self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.data > 0): self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: if (msg.data > 0): self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: (/a1 { (data > 0) } or /a2 { (data < 0) }) forbids /b { True } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a1': self.on_msg__a1, '/a2': self.on_msg__a2, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a1(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.data > 0): self._pool.append(MsgRecord('/a1', stamp, msg)) return True if self._state == 3: if (msg.data > 0): self._pool.append(MsgRecord('/a1', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__a2(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.data < 0): self._pool.append(MsgRecord('/a2', stamp, msg)) return True if self._state == 3: if (msg.data < 0): self._pool.append(MsgRecord('/a2', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a { True } forbids (/b1 { (data > 0) } or /b2 { (data < 0) }) within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b2': self.on_msg__b2, '/a': self.on_msg__a, '/b1': self.on_msg__b1, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b2(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if (msg.data < 0): self.witness.append(rec) self.witness.append(MsgRecord('/b2', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__b1(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if (msg.data > 0): self.witness.append(rec) self.witness.append(MsgRecord('/b1', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''after /p { True }: /a { True } forbids /b { True } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, '/p': self.on_msg__p, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 1 self.time_state = stamp return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__p(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 1: self.witness.append(MsgRecord('/p', stamp, msg)) self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''after /p { phi }: /a { (data > 0) } forbids /b { (data < 0) } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, '/p': self.on_msg__p, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 1 self.time_state = stamp return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if (msg.data < 0): self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.data > 0): self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: if (msg.data > 0): self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__p(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 1: if msg.phi: self.witness.append(MsgRecord('/p', stamp, msg)) self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''until /q { True }: /a { phi } forbids /b { psi } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/q': self.on_msg__q, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if msg.psi: self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__q(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.clear() self.witness.append(MsgRecord('/q', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True if self._state == 3: self._pool.clear() self.witness.append(MsgRecord('/q', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if msg.phi: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: if msg.phi: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''until /b { True }: /a { True } forbids /b { True } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.clear() self.witness.append(MsgRecord('/b', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True if self._state == 3: self._pool.clear() self.witness.append(MsgRecord('/b', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''until /a { True }: /a { True } forbids /b { True } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: self._pool.clear() self.witness.append(MsgRecord('/a', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: self._pool.clear() self.witness.append(MsgRecord('/a', stamp, msg)) self._state = -1 self.time_state = stamp self.on_exit_scope(stamp) self.on_success(stamp, self.witness) return True self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''after /p { phi } until /q { psi }: /a { alpha } forbids /b { beta }''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/a': self.on_msg__a, '/b': self.on_msg__b, '/q': self.on_msg__q, '/p': self.on_msg__p, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 1 self.time_state = stamp return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): return True def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: return False # nothing to do if self._state == 3: if msg.alpha: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if msg.beta: self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__q(self, msg, stamp): with self._lock: if self._state == 2: if msg.psi: self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True if self._state == 3: if msg.psi: self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True return False def on_msg__p(self, msg, stamp): with self._lock: if self._state == 1: if msg.phi: self.witness.append(MsgRecord('/p', stamp, msg)) self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''after /p { phi } until /q { psi }: /a { alpha } forbids /b { beta } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/a': self.on_msg__a, '/b': self.on_msg__b, '/q': self.on_msg__q, '/p': self.on_msg__p, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 1 self.time_state = stamp return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if msg.alpha: self._pool.append(MsgRecord('/a', stamp, msg)) return True if self._state == 3: if msg.alpha: self._pool.append(MsgRecord('/a', stamp, msg)) self._state = 2 self.time_state = stamp return True return False def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' rec = self._pool[0] if msg.beta: self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__q(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if msg.psi: self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True if self._state == 3: if msg.psi: self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True return False def on_msg__p(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 1: if msg.phi: self.witness.append(MsgRecord('/p', stamp, msg)) self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True return False def _reset(self): self.witness = [] self._pool = deque((), 1) self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a as A { True } forbids /b { (x < @A.x) }''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' for rec in self._pool: v_A = rec.msg if (msg.x < v_A.x): self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) return True if self._state == 3: rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque() self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _pool_insert(self, rec): # this method is only needed to ensure Python 2.7 compatibility if not self._pool: return self._pool.append(rec) stamp = rec.timestamp if len(self._pool) == 1: if stamp >= self._pool[0].timestamp: return self._pool.append(rec) return self._pool.appendleft(rec) for i in range(len(self._pool), 0, -1): if stamp >= self._pool[i-1].timestamp: try: self._pool.insert(i, rec) # Python >= 3.5 except AttributeError as e: tmp = [self._pool.pop() for j in range(i, len(self._pool))] self._pool.append(rec) self._pool.extend(reversed(tmp)) break else: self._pool.appendleft(rec) def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a as A { (x > 0) } forbids /b { (x < @A.x) } within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b': self.on_msg__b, '/a': self.on_msg__a, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' for rec in self._pool: v_A = rec.msg if (msg.x < v_A.x): self.witness.append(rec) self.witness.append(MsgRecord('/b', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.x > 0): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) return True if self._state == 3: if (msg.x > 0): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) self._state = 2 self.time_state = stamp return True return False def _reset(self): self.witness = [] self._pool = deque() self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _pool_insert(self, rec): # this method is only needed to ensure Python 2.7 compatibility if not self._pool: return self._pool.append(rec) stamp = rec.timestamp if len(self._pool) == 1: if stamp >= self._pool[0].timestamp: return self._pool.append(rec) return self._pool.appendleft(rec) for i in range(len(self._pool), 0, -1): if stamp >= self._pool[i-1].timestamp: try: self._pool.insert(i, rec) # Python >= 3.5 except AttributeError as e: tmp = [self._pool.pop() for j in range(i, len(self._pool))] self._pool.append(rec) self._pool.extend(reversed(tmp)) break else: self._pool.appendleft(rec) def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''globally: /a as A { (x > 0) } forbids (/b1 { (x < @A.x) } or /b2 { (y < @A.y) }) within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b2': self.on_msg__b2, '/a': self.on_msg__a, '/b1': self.on_msg__b1, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b2(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' for rec in self._pool: v_A = rec.msg if (msg.y < v_A.y): self.witness.append(rec) self.witness.append(MsgRecord('/b2', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: if (msg.x > 0): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) return True if self._state == 3: if (msg.x > 0): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) self._state = 2 self.time_state = stamp return True return False def on_msg__b1(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' for rec in self._pool: v_A = rec.msg if (msg.x < v_A.x): self.witness.append(rec) self.witness.append(MsgRecord('/b1', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def _reset(self): self.witness = [] self._pool = deque() self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _pool_insert(self, rec): # this method is only needed to ensure Python 2.7 compatibility if not self._pool: return self._pool.append(rec) stamp = rec.timestamp if len(self._pool) == 1: if stamp >= self._pool[0].timestamp: return self._pool.append(rec) return self._pool.appendleft(rec) for i in range(len(self._pool), 0, -1): if stamp >= self._pool[i-1].timestamp: try: self._pool.insert(i, rec) # Python >= 3.5 except AttributeError as e: tmp = [self._pool.pop() for j in range(i, len(self._pool))] self._pool.append(rec) self._pool.extend(reversed(tmp)) break else: self._pool.appendleft(rec) def _noop(self, *args): pass class PropertyMonitor(object): __slots__ = ( '_lock', # concurrency control '_state', # currently active state '_pool', # MsgRecord deque to hold temporary records 'witness', # MsgRecord list of observed events 'on_enter_scope', # callback upon entering the scope 'on_exit_scope', # callback upon exiting the scope 'on_violation', # callback upon verdict of False 'on_success', # callback upon verdict of True 'time_launch', # when was the monitor launched 'time_shutdown', # when was the monitor shutdown 'time_state', # when did the last state transition occur 'cb_map', # mapping of topic names to callback functions ) PROP_ID = 'None' PROP_TITLE = '''None''' PROP_DESC = '''None''' HPL_PROPERTY = r'''after /p as P { True } until /q { (x > @P.x) }: /a as A { (x = @P.x) } forbids (/b1 { (x < (@A.x + @P.x)) } or /b2 { (x in {@P.x, @A.x}) }) within 0.1s''' def __init__(self): self._lock = Lock() self._reset() self.on_enter_scope = self._noop self.on_exit_scope = self._noop self.on_violation = self._noop self.on_success = self._noop self._state = 0 self.cb_map = { '/b1': self.on_msg__b1, '/b2': self.on_msg__b2, '/a': self.on_msg__a, '/q': self.on_msg__q, '/p': self.on_msg__p, } @property def verdict(self): with self._lock: if self._state == -1: return True if self._state == -2: return False return None def on_launch(self, stamp): with self._lock: if self._state != 0: raise RuntimeError('monitor is already turned on') self._reset() self.time_launch = stamp self._state = 1 self.time_state = stamp return True def on_shutdown(self, stamp): with self._lock: if self._state == 0: raise RuntimeError('monitor is already turned off') self.time_shutdown = stamp self._state = 0 self.time_state = stamp return True def on_timer(self, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp return True def on_msg__b1(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' assert len(self.witness) >= 1, 'missing activator event' v_P = self.witness[0].msg for rec in self._pool: v_A = rec.msg if (msg.x < (v_A.x + v_P.x)): self.witness.append(rec) self.witness.append(MsgRecord('/b1', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__b2(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' assert len(self.witness) >= 1, 'missing activator event' v_P = self.witness[0].msg for rec in self._pool: v_A = rec.msg if (msg.x in (v_P.x, v_A.x)): self.witness.append(rec) self.witness.append(MsgRecord('/b2', stamp, msg)) self._pool.clear() self._state = -2 self.time_state = stamp self.on_violation(stamp, self.witness) return True return False def on_msg__a(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self.witness) >= 1, 'missing activator' v_P = self.witness[0].msg if (msg.x == v_P.x): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) return True if self._state == 3: assert len(self.witness) >= 1, 'missing activator' v_P = self.witness[0].msg if (msg.x == v_P.x): rec = MsgRecord('/a', stamp, msg) self._pool_insert(rec) self._state = 2 self.time_state = stamp return True return False def on_msg__q(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 2: assert len(self.witness) >= 1, 'missing activator event' v_P = self.witness[0].msg if (msg.x > v_P.x): self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True if self._state == 3: assert len(self.witness) >= 1, 'missing activator event' v_P = self.witness[0].msg if (msg.x > v_P.x): self._pool.clear() self.witness = [] self._state = 1 self.time_state = stamp self.on_exit_scope(stamp) return True return False def on_msg__p(self, msg, stamp): with self._lock: if self._state == 2: assert len(self._pool) >= 1, 'missing trigger event' while self._pool and (stamp - self._pool[0].timestamp) >= 0.1: self._pool.popleft() if not self._pool: self._state = 3 self.time_state = stamp if self._state == 1: self.witness.append(MsgRecord('/p', stamp, msg)) self._state = 3 self.time_state = stamp self.on_enter_scope(stamp) return True return False def _reset(self): self.witness = [] self._pool = deque() self.time_launch = -1 self.time_shutdown = -1 self.time_state = -1 def _pool_insert(self, rec): # this method is only needed to ensure Python 2.7 compatibility if not self._pool: return self._pool.append(rec) stamp = rec.timestamp if len(self._pool) == 1: if stamp >= self._pool[0].timestamp: return self._pool.append(rec) return self._pool.appendleft(rec) for i in range(len(self._pool), 0, -1): if stamp >= self._pool[i-1].timestamp: try: self._pool.insert(i, rec) # Python >= 3.5 except AttributeError as e: tmp = [self._pool.pop() for j in range(i, len(self._pool))] self._pool.append(rec) self._pool.extend(reversed(tmp)) break else: self._pool.appendleft(rec) def _noop(self, *args): pass

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0.407215

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1

0.075421

false

0.007542

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0.001775

0.22449

0

null

0

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1

0

null

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7

a27c5c33826f2e8ec0d032de4fd8df3852021af2

142

py

Python

gym-sapyen/gym_sapyen/envs/__init__.py

MRzNone/SAPIEN-Release

ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e

[ "MIT" ]

null

gym-sapyen/gym_sapyen/envs/__init__.py

MRzNone/SAPIEN-Release

ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e

[ "MIT" ]

null

gym-sapyen/gym_sapyen/envs/__init__.py

MRzNone/SAPIEN-Release

ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e

[ "MIT" ]

null

from gym_sapyen.envs.sapyen_env import SapyenEnv from gym_sapyen.envs.ant import AntEnv from gym_sapyen.envs.halfcheetah import HalfCheetahEnv

47.333333

54

0.880282

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0.077465

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1

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7

a2b28096582d4145484b6da7a11a47227a7b2ba0

247

py

Python

ALC/__init__.py

SimiPixel/automatic_label_correction

c3e785cd9e2b185b4306e92677c1838a883eb2b3

[ "MIT" ]

null

ALC/__init__.py

SimiPixel/automatic_label_correction

c3e785cd9e2b185b4306e92677c1838a883eb2b3

[ "MIT" ]

null

ALC/__init__.py

SimiPixel/automatic_label_correction

c3e785cd9e2b185b4306e92677c1838a883eb2b3

[ "MIT" ]

null

from .automatic_data_enhancement import AutomaticDataEnhancement from .binary_cluster_correction import BinaryClusterCorrection from .cluster_correction import ClusterCorrection from .nearest_neighbour_correction import NearestNeighbourCorrection

49.4

68

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7

a2b714ee9389e69c22aa48c443cfc3b99f807e9c

60,306

py

Python

setup.py

Halftruth08/Game_AI

629dbe9481568b024495c64e97fff27215bd606b

[ "MIT" ]

1

2017-09-26T13:23:34.000Z

setup.py

Halftruth08/Game_AI

629dbe9481568b024495c64e97fff27215bd606b

[ "MIT" ]

5

2019-06-15T17:22:32.000Z

2021-03-22T17:15:59.000Z

setup.py

Halftruth08/Game_AI

629dbe9481568b024495c64e97fff27215bd606b

[ "MIT" ]

1

2017-09-25T01:01:09.000Z

from setuptools import setup setup( name='codenames', version='0.1.0', packages=['virtualenv.lib.python3.6.distutils', 'virtualenv.lib.python3.6.encodings', 'virtualenv.lib.python3.6.importlib', 'virtualenv.lib.python3.6.collections', 'virtualenv.lib.python3.6.site-packages.pip', 'virtualenv.lib.python3.6.site-packages.pip.req', 'virtualenv.lib.python3.6.site-packages.pip.vcs', 'virtualenv.lib.python3.6.site-packages.pip.utils', 'virtualenv.lib.python3.6.site-packages.pip.compat', 'virtualenv.lib.python3.6.site-packages.pip.models', 'virtualenv.lib.python3.6.site-packages.pip._vendor', 'virtualenv.lib.python3.6.site-packages.pip._vendor.distlib', 'virtualenv.lib.python3.6.site-packages.pip._vendor.distlib._backport', 'virtualenv.lib.python3.6.site-packages.pip._vendor.colorama', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib._trie', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib.filters', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib.treewalkers', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib.treeadapters', 'virtualenv.lib.python3.6.site-packages.pip._vendor.html5lib.treebuilders', 'virtualenv.lib.python3.6.site-packages.pip._vendor.lockfile', 'virtualenv.lib.python3.6.site-packages.pip._vendor.progress', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.chardet', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.urllib3', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.urllib3.util', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.urllib3.contrib', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.urllib3.packages', 'virtualenv.lib.python3.6.site-packages.pip._vendor.requests.packages.urllib3.packages.ssl_match_hostname', 'virtualenv.lib.python3.6.site-packages.pip._vendor.packaging', 'virtualenv.lib.python3.6.site-packages.pip._vendor.cachecontrol', 'virtualenv.lib.python3.6.site-packages.pip._vendor.cachecontrol.caches', 'virtualenv.lib.python3.6.site-packages.pip._vendor.webencodings', 'virtualenv.lib.python3.6.site-packages.pip._vendor.pkg_resources', 'virtualenv.lib.python3.6.site-packages.pip.commands', 'virtualenv.lib.python3.6.site-packages.pip.operations', 'virtualenv.lib.python3.6.site-packages.enum', 'virtualenv.lib.python3.6.site-packages.idna', 'virtualenv.lib.python3.6.site-packages.lxml', 'virtualenv.lib.python3.6.site-packages.lxml.html', 'virtualenv.lib.python3.6.site-packages.lxml.includes', 'virtualenv.lib.python3.6.site-packages.lxml.isoschematron', 'virtualenv.lib.python3.6.site-packages.pytz', 'virtualenv.lib.python3.6.site-packages.numpy', 'virtualenv.lib.python3.6.site-packages.numpy.ma', 'virtualenv.lib.python3.6.site-packages.numpy.doc', 'virtualenv.lib.python3.6.site-packages.numpy.fft', 'virtualenv.lib.python3.6.site-packages.numpy.lib', 'virtualenv.lib.python3.6.site-packages.numpy.core', 'virtualenv.lib.python3.6.site-packages.numpy.f2py', 'virtualenv.lib.python3.6.site-packages.numpy.compat', 'virtualenv.lib.python3.6.site-packages.numpy.linalg', 'virtualenv.lib.python3.6.site-packages.numpy.random', 'virtualenv.lib.python3.6.site-packages.numpy.testing', 'virtualenv.lib.python3.6.site-packages.numpy.distutils', 'virtualenv.lib.python3.6.site-packages.numpy.distutils.command', 'virtualenv.lib.python3.6.site-packages.numpy.distutils.fcompiler', 'virtualenv.lib.python3.6.site-packages.numpy.matrixlib', 'virtualenv.lib.python3.6.site-packages.numpy.polynomial', 'virtualenv.lib.python3.6.site-packages.scipy', 'virtualenv.lib.python3.6.site-packages.scipy.io', 'virtualenv.lib.python3.6.site-packages.scipy.io.arff', 'virtualenv.lib.python3.6.site-packages.scipy.io.arff.tests', 'virtualenv.lib.python3.6.site-packages.scipy.io.tests', 'virtualenv.lib.python3.6.site-packages.scipy.io.matlab', 'virtualenv.lib.python3.6.site-packages.scipy.io.matlab.tests', 'virtualenv.lib.python3.6.site-packages.scipy.io.harwell_boeing', 'virtualenv.lib.python3.6.site-packages.scipy.io.harwell_boeing.tests', 'virtualenv.lib.python3.6.site-packages.scipy.odr', 'virtualenv.lib.python3.6.site-packages.scipy.odr.tests', 'virtualenv.lib.python3.6.site-packages.scipy._lib', 'virtualenv.lib.python3.6.site-packages.scipy._lib.tests', 'virtualenv.lib.python3.6.site-packages.scipy.misc', 'virtualenv.lib.python3.6.site-packages.scipy.misc.tests', 'virtualenv.lib.python3.6.site-packages.scipy.stats', 'virtualenv.lib.python3.6.site-packages.scipy.stats.tests', 'virtualenv.lib.python3.6.site-packages.scipy.linalg', 'virtualenv.lib.python3.6.site-packages.scipy.linalg.tests', 'virtualenv.lib.python3.6.site-packages.scipy.signal', 'virtualenv.lib.python3.6.site-packages.scipy.signal.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.eigen', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.eigen.arpack', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.eigen.arpack.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.eigen.lobpcg', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.eigen.lobpcg.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.dsolve', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.dsolve.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.isolve', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.linalg.isolve.tests', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.csgraph', 'virtualenv.lib.python3.6.site-packages.scipy.sparse.csgraph.tests', 'virtualenv.lib.python3.6.site-packages.scipy.cluster', 'virtualenv.lib.python3.6.site-packages.scipy.cluster.tests', 'virtualenv.lib.python3.6.site-packages.scipy.fftpack', 'virtualenv.lib.python3.6.site-packages.scipy.fftpack.tests', 'virtualenv.lib.python3.6.site-packages.scipy.ndimage', 'virtualenv.lib.python3.6.site-packages.scipy.ndimage.tests', 'virtualenv.lib.python3.6.site-packages.scipy.spatial', 'virtualenv.lib.python3.6.site-packages.scipy.spatial.tests', 'virtualenv.lib.python3.6.site-packages.scipy.special', 'virtualenv.lib.python3.6.site-packages.scipy.special.tests', 'virtualenv.lib.python3.6.site-packages.scipy.special._precompute', 'virtualenv.lib.python3.6.site-packages.scipy.optimize', 'virtualenv.lib.python3.6.site-packages.scipy.optimize._lsq', 'virtualenv.lib.python3.6.site-packages.scipy.optimize.tests', 'virtualenv.lib.python3.6.site-packages.scipy.optimize._trlib', 'virtualenv.lib.python3.6.site-packages.scipy.constants', 'virtualenv.lib.python3.6.site-packages.scipy.constants.tests', 'virtualenv.lib.python3.6.site-packages.scipy.integrate', 'virtualenv.lib.python3.6.site-packages.scipy.integrate._ivp', 'virtualenv.lib.python3.6.site-packages.scipy.integrate.tests', 'virtualenv.lib.python3.6.site-packages.scipy.interpolate', 'virtualenv.lib.python3.6.site-packages.scipy.interpolate.tests', 'virtualenv.lib.python3.6.site-packages.scipy._build_utils', 'virtualenv.lib.python3.6.site-packages.wheel', 'virtualenv.lib.python3.6.site-packages.wheel.tool', 'virtualenv.lib.python3.6.site-packages.wheel.signatures', 'virtualenv.lib.python3.6.site-packages.bleach', 'virtualenv.lib.python3.6.site-packages.google.protobuf', 'virtualenv.lib.python3.6.site-packages.google.protobuf.util', 'virtualenv.lib.python3.6.site-packages.google.protobuf.pyext', 'virtualenv.lib.python3.6.site-packages.google.protobuf.compiler', 'virtualenv.lib.python3.6.site-packages.google.protobuf.internal', 'virtualenv.lib.python3.6.site-packages.google.protobuf.internal.import_test_package', 'virtualenv.lib.python3.6.site-packages.pandas', 'virtualenv.lib.python3.6.site-packages.pandas.io', 'virtualenv.lib.python3.6.site-packages.pandas.io.sas', 'virtualenv.lib.python3.6.site-packages.pandas.io.json', 'virtualenv.lib.python3.6.site-packages.pandas.io.formats', 'virtualenv.lib.python3.6.site-packages.pandas.io.msgpack', 'virtualenv.lib.python3.6.site-packages.pandas.io.clipboard', 'virtualenv.lib.python3.6.site-packages.pandas.api', 'virtualenv.lib.python3.6.site-packages.pandas.api.types', 'virtualenv.lib.python3.6.site-packages.pandas.core', 'virtualenv.lib.python3.6.site-packages.pandas.core.util', 'virtualenv.lib.python3.6.site-packages.pandas.core.tools', 'virtualenv.lib.python3.6.site-packages.pandas.core.dtypes', 'virtualenv.lib.python3.6.site-packages.pandas.core.sparse', 'virtualenv.lib.python3.6.site-packages.pandas.core.indexes', 'virtualenv.lib.python3.6.site-packages.pandas.core.reshape', 'virtualenv.lib.python3.6.site-packages.pandas.core.computation', 'virtualenv.lib.python3.6.site-packages.pandas.util', 'virtualenv.lib.python3.6.site-packages.pandas._libs', 'virtualenv.lib.python3.6.site-packages.pandas._libs.tslibs', 'virtualenv.lib.python3.6.site-packages.pandas.stats', 'virtualenv.lib.python3.6.site-packages.pandas.tests', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io.sas', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io.json', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io.parser', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io.formats', 'virtualenv.lib.python3.6.site-packages.pandas.tests.io.msgpack', 'virtualenv.lib.python3.6.site-packages.pandas.tests.api', 'virtualenv.lib.python3.6.site-packages.pandas.tests.util', 'virtualenv.lib.python3.6.site-packages.pandas.tests.frame', 'virtualenv.lib.python3.6.site-packages.pandas.tests.tools', 'virtualenv.lib.python3.6.site-packages.pandas.tests.dtypes', 'virtualenv.lib.python3.6.site-packages.pandas.tests.scalar', 'virtualenv.lib.python3.6.site-packages.pandas.tests.series', 'virtualenv.lib.python3.6.site-packages.pandas.tests.sparse', 'virtualenv.lib.python3.6.site-packages.pandas.tests.groupby', 'virtualenv.lib.python3.6.site-packages.pandas.tests.indexes', 'virtualenv.lib.python3.6.site-packages.pandas.tests.indexes.period', 'virtualenv.lib.python3.6.site-packages.pandas.tests.indexes.datetimes', 'virtualenv.lib.python3.6.site-packages.pandas.tests.indexes.timedeltas', 'virtualenv.lib.python3.6.site-packages.pandas.tests.reshape', 'virtualenv.lib.python3.6.site-packages.pandas.tests.tseries', 'virtualenv.lib.python3.6.site-packages.pandas.tests.indexing', 'virtualenv.lib.python3.6.site-packages.pandas.tests.plotting', 'virtualenv.lib.python3.6.site-packages.pandas.tests.internals', 'virtualenv.lib.python3.6.site-packages.pandas.tests.computation', 'virtualenv.lib.python3.6.site-packages.pandas.tools', 'virtualenv.lib.python3.6.site-packages.pandas.types', 'virtualenv.lib.python3.6.site-packages.pandas.compat', 'virtualenv.lib.python3.6.site-packages.pandas.compat.numpy', 'virtualenv.lib.python3.6.site-packages.pandas.errors', 'virtualenv.lib.python3.6.site-packages.pandas.formats', 'virtualenv.lib.python3.6.site-packages.pandas.tseries', 'virtualenv.lib.python3.6.site-packages.pandas.plotting', 'virtualenv.lib.python3.6.site-packages.pandas.computation', 'virtualenv.lib.python3.6.site-packages.certifi', 'virtualenv.lib.python3.6.site-packages.chardet', 'virtualenv.lib.python3.6.site-packages.chardet.cli', 'virtualenv.lib.python3.6.site-packages.sklearn', 'virtualenv.lib.python3.6.site-packages.sklearn.svm', 'virtualenv.lib.python3.6.site-packages.sklearn.svm.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.tree', 'virtualenv.lib.python3.6.site-packages.sklearn.tree.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.utils', 'virtualenv.lib.python3.6.site-packages.sklearn.utils.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.utils.sparsetools', 'virtualenv.lib.python3.6.site-packages.sklearn.utils.sparsetools.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.cluster', 'virtualenv.lib.python3.6.site-packages.sklearn.cluster.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.metrics', 'virtualenv.lib.python3.6.site-packages.sklearn.metrics.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.metrics.cluster', 'virtualenv.lib.python3.6.site-packages.sklearn.metrics.cluster.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.mixture', 'virtualenv.lib.python3.6.site-packages.sklearn.mixture.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.datasets', 'virtualenv.lib.python3.6.site-packages.sklearn.datasets.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.ensemble', 'virtualenv.lib.python3.6.site-packages.sklearn.ensemble.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.manifold', 'virtualenv.lib.python3.6.site-packages.sklearn.manifold.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.externals', 'virtualenv.lib.python3.6.site-packages.sklearn.externals.joblib', 'virtualenv.lib.python3.6.site-packages.sklearn.neighbors', 'virtualenv.lib.python3.6.site-packages.sklearn.neighbors.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.covariance', 'virtualenv.lib.python3.6.site-packages.sklearn.covariance.tests', 'virtualenv.lib.python3.6.site-packages.sklearn._build_utils', 'virtualenv.lib.python3.6.site-packages.sklearn.linear_model', 'virtualenv.lib.python3.6.site-packages.sklearn.linear_model.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.__check_build', 'virtualenv.lib.python3.6.site-packages.sklearn.decomposition', 'virtualenv.lib.python3.6.site-packages.sklearn.decomposition.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.preprocessing', 'virtualenv.lib.python3.6.site-packages.sklearn.preprocessing.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.neural_network', 'virtualenv.lib.python3.6.site-packages.sklearn.neural_network.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.model_selection', 'virtualenv.lib.python3.6.site-packages.sklearn.model_selection.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.semi_supervised', 'virtualenv.lib.python3.6.site-packages.sklearn.semi_supervised.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.gaussian_process', 'virtualenv.lib.python3.6.site-packages.sklearn.gaussian_process.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.feature_selection', 'virtualenv.lib.python3.6.site-packages.sklearn.feature_selection.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.feature_extraction', 'virtualenv.lib.python3.6.site-packages.sklearn.feature_extraction.tests', 'virtualenv.lib.python3.6.site-packages.sklearn.cross_decomposition', 'virtualenv.lib.python3.6.site-packages.sklearn.cross_decomposition.tests', 'virtualenv.lib.python3.6.site-packages.urllib3', 'virtualenv.lib.python3.6.site-packages.urllib3.util', 'virtualenv.lib.python3.6.site-packages.urllib3.contrib', 'virtualenv.lib.python3.6.site-packages.urllib3.contrib._securetransport', 'virtualenv.lib.python3.6.site-packages.urllib3.packages', 'virtualenv.lib.python3.6.site-packages.urllib3.packages.backports', 'virtualenv.lib.python3.6.site-packages.urllib3.packages.ssl_match_hostname', 'virtualenv.lib.python3.6.site-packages.dateutil', 'virtualenv.lib.python3.6.site-packages.dateutil.tz', 'virtualenv.lib.python3.6.site-packages.dateutil.zoneinfo', 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'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.memory_stats.ops', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.memory_stats.python', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.memory_stats.python.ops', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.quantization', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.quantization.python', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.lib', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.lib.learner', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.lib.learner.batch', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.proto', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.python', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.python.ops', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.python.utils', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.python.training', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.python.training.functions', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.boosted_trees.estimator_batch', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.distributions', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.distributions.python', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.distributions.python.ops', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.distributions.python.ops.bijectors', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.factorization', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.factorization.python', 'virtualenv.lib.python3.6.site-packages.tensorflow.contrib.factorization.python.ops', 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'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.audio', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.graph', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.image', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.scalar', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.profile', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.debugger', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.pr_curve', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.histogram', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.projector', 'virtualenv.lib.python3.6.site-packages.tensorboard.plugins.distribution', 'virtualenv.lib.python3.6.site-packages.tensorboard.pip_package', 'virtualenv.lib.python3.6.site-packages.mpl_toolkits.tests', 'virtualenv.lib.python3.6.site-packages.mpl_toolkits.mplot3d', 'virtualenv.lib.python3.6.site-packages.mpl_toolkits.axes_grid', 'virtualenv.lib.python3.6.site-packages.mpl_toolkits.axes_grid1', 'virtualenv.lib.python3.6.site-packages.mpl_toolkits.axisartist', 'virtualenv.lib.python3.6.site-packages.webencodings', 'virtualenv.lib.python3.6.site-packages.pkg_resources', 'virtualenv.lib.python3.6.site-packages.pkg_resources.extern', 'virtualenv.lib.python3.6.site-packages.pkg_resources._vendor', 'virtualenv.lib.python3.6.site-packages.pkg_resources._vendor.packaging'], url='https://github.com/Halftruth08/Game_AI', license='MIT', author='Halftruth08, kanwei', author_email='Halftruth08@github.com', description='Codenames Model + Game Playing' )

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60,306

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null

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a2d8f9980da6372870482a9f917bf39f100c872e

17,445

py

Python

dev/writeCCode.py

gmarupilla/libSEDML

3a2a207d78afccefb4389b65fea9eeb7e446d09e

[ "BSD-2-Clause" ]

1

2020-10-21T01:41:14.000Z

dev/writeCCode.py

gmarupilla/libSEDML

3a2a207d78afccefb4389b65fea9eeb7e446d09e

[ "BSD-2-Clause" ]

null

dev/writeCCode.py

gmarupilla/libSEDML

3a2a207d78afccefb4389b65fea9eeb7e446d09e

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python # # @file writeCCode.py # @brief Create the C code for a class # @author Sarah Keating # import sys import fileHeaders import generalFunctions import strFunctions def writeConstructors(element, package, output): indent = strFunctions.getIndent(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(element)) output.write('{0}_create'.format(element)) output.write('(unsigned int level, unsigned int version)\n') output.write('{\n') output.write(' return new {0}(level, version);\n'.format(element)) output.write('}\n\n\n') # output.write('/**\n') # output.write(' * write comments\n') # output.write(' */\n') # output.write('LIBSEDML_EXTERN\n') # output.write('{0}_t *\n'.format(element)) # output.write('{0}_createWithNS'.format(element)) # output.write('(SedNamespaces_t *sedmlns)\n') # output.write('{\n') # output.write(' return new {0}(sedmlns);\n'.format(element)) # output.write('}\n\n\n') output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('void\n') output.write('{0}_free'.format(element)) output.write('({0}_t * {1})\n'.format(element, strFunctions.objAbbrev(element))) output.write('{\n') output.write(' if ({0} != NULL)\n'.format(strFunctions.objAbbrev(element))) output.write(' delete {0};\n'.format(strFunctions.objAbbrev(element))) output.write('}\n\n\n') output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(element)) output.write('{0}_clone'.format(element)) output.write('({0}_t * {1})\n'.format(element, strFunctions.objAbbrev(element))) output.write('{\n') output.write(' if ({0} != NULL)\n'.format(strFunctions.objAbbrev(element))) output.write(' {\n') output.write(' return static_cast<{0}_t*>({1}->clone());\n'.format(element, strFunctions.objAbbrev(element))) output.write(' }\n') output.write(' else\n') output.write(' {\n') output.write(' return NULL;\n') output.write(' }\n') output.write('}\n\n\n') def writeAttributeFunctions(attrs, output, element): for i in range(0, len(attrs)): if attrs[i]['type'] != 'lo_element': writeGetFunction(attrs[i], output, element) for i in range(0, len(attrs)): if attrs[i]['type'] != 'lo_element': writeIsSetFunction(attrs[i], output, element) for i in range(0, len(attrs)): if attrs[i]['type'] != 'lo_element': writeSetFunction(attrs[i], output, element) for i in range(0, len(attrs)): if attrs[i]['type'] != 'lo_element': writeUnsetFunction(attrs[i], output, element) for i in range(0, len(attrs)): if attrs[i]['type'] == 'lo_element': writeListOfSubElements(attrs[i], output, element) def writeListOfSubElements(attrib, output, element): loname = generalFunctions.writeListOf(strFunctions.cap(attrib['name'])) output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_add{1}({0}_t * {2}, '.format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('{0}_t * {1})\n'.format(attrib['element'], strFunctions.objAbbrev(attrib['element']))) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->add{1}({2}) : LIBSBML_INVALID_OBJECT;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']),strFunctions.objAbbrev(attrib['element']))) output.write('}\n\n') if attrib.has_key('abstract') == False or (attrib.has_key('abstract') and attrib['abstract'] == False): output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(attrib['element'])) output.write('{0}_create{1}({0}_t * {2})\n' .format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->create{1}() : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') elif attrib.has_key('concrete'): for elem in attrib['concrete']: output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(elem['element'])) output.write('{0}_create{1}({0}_t * {2})\n' .format(element, strFunctions.cap(elem['name']), strFunctions.objAbbrev(element))) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->create{1}() : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(elem['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('SedListOf_t *\n') output.write('{0}_get{1}({0}_t * {2})\n'.format(element, loname, strFunctions.objAbbrev(element))) output.write('{\n') output.write(' return ({0} != NULL) ? (SedListOf_t *){0}->getListOf{1}s() : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(attrib['element'])) output.write('{0}_get{1}({0}_t * {2}, '.format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('unsigned int n)\n') output.write('{\n') output.write(' return ({0} != NULL) ? {0}->get{1}(n) : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(attrib['element'])) output.write('{0}_get{1}ById({0}_t * {2}, '.format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('const char * sid)\n') output.write('{\n') output.write(' return ({0} != NULL) ? {0}->get{1}(sid) : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('unsigned int\n') output.write('{0}_getNum{1}s({0}_t * {2})\n' .format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->getNum{1}s() : SEDML_INT_MAX;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(attrib['element'])) output.write('{0}_remove{1}({0}_t * {2}, '.format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('unsigned int n)\n') output.write('{\n') output.write(' return ({0} != NULL) ? {0}->remove{1}(n) : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(attrib['element'])) output.write('{0}_remove{1}ById({0}_t * {2}, '.format(element, strFunctions.cap(attrib['name']), strFunctions.objAbbrev(element))) output.write('const char * sid)\n') output.write('{\n') output.write(' return ({0} != NULL) ? {0}->remove{1}(sid) : NULL;\n'.format(strFunctions.objAbbrev(element),strFunctions.cap(attrib['name']))) output.write('}\n\n') # writeListOfHeader.writeGetFunctions(output, attrib['element'], True, element) # writeListOfHeader.writeRemoveFunctions(output, attrib['element'], True, element) def writeGetFunction(attrib, output, element): att = generalFunctions.parseAttributeForC(attrib) attName = att[0] capAttName = att[1] attType = att[2] if att[3] == 'const char *': attTypeCode = 'char *' else: attTypeCode = att[3] num = att[4] varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') if attrib['type'] == 'std::vector<double>': return elif attrib['type'] != 'element' and attrib['type'] != 'lo_element' and attrib['type'] != 'XMLNode*': output.write('LIBSEDML_EXTERN\n') output.write('{0}\n'.format(attTypeCode)) output.write('{0}_get{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') if attType == 'string': output.write(' if ({0} == NULL)\n'.format(varname)) output.write(' return NULL;\n\n') output.write(' return {0}->get{1}().empty() ? NULL : safe_strdup({0}->get{1}().c_str());\n'.format(varname, capAttName)) elif num == True: if attTypeCode == 'double': output.write(' return ({0} != NULL) ? {0}->get{1}() : numeric_limits<double>::quiet_NaN();\n'.format(varname, capAttName)) else: output.write(' return ({0} != NULL) ? {0}->get{1}() : SEDML_INT_MAX;\n'.format(varname, capAttName)) elif attType == 'boolean': output.write(' return ({0} != NULL) ? static_cast<int>({0}->get{1}()) : 0;\n'.format(varname, capAttName)) elif attType == 'DimensionDescription*': output.write(' return ({0} != NULL) ? NULL : const_cast<DimensionDescription*>({0}->get{1}());\n'.format(varname, capAttName)) output.write('}\n\n\n') elif attrib['type'] == 'XMLNode*': output.write('LIBSEDML_EXTERN\n') output.write('XMLNode_t*\n') output.write('{0}_get{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' if ({0} == NULL)\n'.format(varname)) output.write(' return NULL;\n\n') output.write(' return ({0}_t*){1}->get{2}();\n'.format('XMLNode',varname, capAttName)) output.write('}\n\n\n') elif attrib['type'] == 'element': if attrib['name'] == 'Math' or attrib['name'] == 'math': output.write('LIBSEDML_EXTERN\n') output.write('ASTNode_t*\n') output.write('{0}_get{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' if ({0} == NULL)\n'.format(varname)) output.write(' return NULL;\n\n') output.write(' return (ASTNode_t*){0}->get{1}();\n'.format(varname, capAttName)) output.write('}\n\n\n') else: output.write('LIBSEDML_EXTERN\n') output.write('{0}_t*\n'.format(attrib['element'])) output.write('{0}_get{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' if ({0} == NULL)\n'.format(varname)) output.write(' return NULL;\n\n') output.write(' return ({0}_t*){1}->get{2}();\n'.format(attrib['element'],varname, capAttName)) output.write('}\n\n\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t*\n'.format(attrib['element'])) output.write('{0}_create{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' if ({0} == NULL)\n'.format(varname)) output.write(' return NULL;\n\n') output.write(' return ({0}_t*){1}->create{2}();\n'.format(attrib['element'],varname, capAttName)) output.write('}\n\n\n') def writeIsSetFunction(attrib, output, element): att = generalFunctions.parseAttributeForC(attrib) attName = att[0] capAttName = att[1] attType = att[2] attTypeCode = att[3] num = att[4] if attrib['type'] == 'lo_element': return if attrib['type'] == 'std::vector<double>': return varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_isSet{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' return ({0} != NULL) ? static_cast<int>({0}->isSet{1}()) : 0;\n'.format(varname, capAttName)) output.write('}\n\n\n') def writeSetFunction(attrib, output, element): att = generalFunctions.parseAttributeForC(attrib) attName = att[0] capAttName = att[1] attType = att[2] attTypeCode = att[3] num = att[4] if attrib['type'] == 'lo_element': return varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') if attrib['type'] == 'std::vector<double>': return elif attrib['type'] != 'element' and attrib['type'] != 'lo_element': output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_set{1}'.format(element, capAttName)) output.write('({0}_t * {1},'.format(element, varname)) output.write(' {0} {1})\n'.format(attTypeCode, attName)) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->set{1}({2}) : LIBSEDML_INVALID_OBJECT;\n'.format(varname, capAttName, attName)) output.write('}\n\n\n') elif attrib['type'] == 'element': if attrib['name'] == 'Math' or attrib['name'] == 'math': output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_set{1}'.format(element, capAttName)) output.write('({0}_t * {1},'.format(element, varname)) output.write(' {0} {1})\n'.format('ASTNode_t*', attName)) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->set{1}({2}) : LIBSEDML_INVALID_OBJECT;\n'.format(varname, capAttName, attName)) output.write('}\n\n\n') else: output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_set{1}'.format(element, capAttName)) output.write('({0}_t * {1},'.format(element, varname)) output.write(' {0}_t* {1})\n'.format(attrib['element'], attName)) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->set{1}({2}) : LIBSEDML_INVALID_OBJECT;\n'.format(varname, capAttName, attName)) output.write('}\n\n\n') def writeUnsetFunction(attrib, output, element): att = generalFunctions.parseAttributeForC(attrib) attName = att[0] capAttName = att[1] attType = att[2] attTypeCode = att[3] num = att[4] if attrib['type'] == 'lo_element': return if attrib['type'] == 'std::vector<double>': return varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_unset{1}'.format(element, capAttName)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' return ({0} != NULL) ? {0}->unset{1}() : LIBSEDML_INVALID_OBJECT;\n'.format(varname, capAttName)) output.write('}\n\n\n') def writeHasReqdAttrFunction(output, element): varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_hasRequiredAttributes'.format(element)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' return ({0} != NULL) ? static_cast<int>({0}->hasRequiredAttributes()) : 0;\n'.format(varname)) output.write('}\n\n\n') def writeHasReqdElementsFunction(output, element): varname = strFunctions.objAbbrev(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('int\n') output.write('{0}_hasRequiredElements'.format(element)) output.write('({0}_t * {1})\n'.format(element, varname)) output.write('{\n') output.write(' return ({0} != NULL) ? static_cast<int>({0}->hasRequiredElements()) : 0;\n'.format(varname)) output.write('}\n\n\n') def writeListOfCode(output, element, type): loelement = generalFunctions.writeListOf(element) output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(type)) output.write('{0}_getById'.format(loelement)) output.write('(SedListOf_t * lo, const char * sid)\n') output.write('{\n') output.write(' if (lo == NULL)\n') output.write(' return NULL;\n\n') output.write(' return (sid != NULL) ? static_cast <{0} *>(lo)->get(sid) : NULL;\n'.format(loelement)) output.write('}\n\n\n') output.write('/**\n') output.write(' * write comments\n') output.write(' */\n') output.write('LIBSEDML_EXTERN\n') output.write('{0}_t *\n'.format(type)) output.write('{0}_removeById'.format(loelement)) output.write('(SedListOf_t * lo, const char * sid)\n') output.write('{\n') output.write(' if (lo == NULL)\n') output.write(' return NULL;\n\n') output.write(' return (sid != NULL) ? static_cast <{0} *>(lo)->remove(sid) : NULL;\n'.format(loelement)) output.write('}\n\n\n') # write the code file def createCode(element, code): type = element['name'] name = element['name'] if element.has_key('elementName'): name = strFunctions.cap(element['elementName']) if element.has_key('element'): type = element['element'] writeConstructors(element['name'], element['package'], code) writeAttributeFunctions(element['attribs'], code, element['name']) writeHasReqdAttrFunction(code, element['name']) if element['hasChildren'] == True or element['hasMath'] == True: writeHasReqdElementsFunction(code, element['name']) if element['hasSedListOf'] == True: writeListOfCode(code, name, type) code.write('\n\n'); code.write('LIBSEDML_CPP_NAMESPACE_END\n') code.write('\n\n'); # to de done

44.27665

203

0.63961

2,303

17,445

4.780287

0.067738

0.249796

0.146062

0.085021

0.823781

0.801254

0.786902

0.774185

0.764647

0.743937

0

0.015597

0.136314

17,445

394

204

44.27665

0.715073

0.038005

0

0.686441

0

0.048023

0.297202

0.042415

0

1

0.031073

false

0

0.011299

0

0.062147

0

null

1

0

1

0

null

0

7

a2f4ad23bbab3adab7c1544d3c0fa638f2eaf743

10,113

py

Python

attacks/weights/norms.py

davidstutz/random-bit-error-robustness

59d8533c8db87ba1b220a64032cf929e5d67fbfa

[ "Unlicense" ]

null

attacks/weights/norms.py

davidstutz/random-bit-error-robustness

59d8533c8db87ba1b220a64032cf929e5d67fbfa

[ "Unlicense" ]

null

attacks/weights/norms.py

davidstutz/random-bit-error-robustness

59d8533c8db87ba1b220a64032cf929e5d67fbfa

[ "Unlicense" ]

null

""" Norms for weight attacks. """ import torch import common.torch class Norm: def __init__(self): """ Constructor. """ self.norms = [] """ ([float]) Norms per layer. """ def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ raise NotImplementedError() class LInfNorm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ norm = 0 norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) for i in layers: perturbation = perturbed_parameters[i].data - parameters[i].data norm_i = torch.max(torch.abs(perturbation)).item() norm = max(norm_i, norm) # .item() important to avoid GPU memory overhead norms.append(norm_i) self.norms = norms return norm class RelativeLInfNorm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ norm = 0 norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) max_parameter = 0 for i in layers: max_parameter = max(max_parameter, torch.max(torch.abs(parameters[i].data)).item()) perturbation = perturbed_parameters[i].data - parameters[i].data norm_i = torch.max(torch.abs(perturbation)).item() norm = max(norm_i, norm) # .item() important to avoid GPU memory overhead norms.append(norm_i) self.norms = norms norm /= 2*max_parameter return norm class L2Norm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) perturbations = None for i in layers: perturbation = perturbed_parameters[i].data - parameters[i].data perturbations = common.torch.concatenate(perturbations, perturbation.view(-1)) norms.append(torch.norm(perturbation, p=2).item()) self.norms = norms return torch.norm(perturbations, p=2).item() # important to avoid GPU memory overhead class L1Norm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) perturbations = None for i in layers: perturbation = perturbed_parameters[i].data - parameters[i].data perturbations = common.torch.concatenate(perturbations, perturbation.view(-1)) norms.append(torch.norm(perturbation, p=2).item()) self.norms = norms return torch.norm(perturbations, p=1).item() # important to avoid GPU memory overhead class L0Norm(Norm): def __init__(self, fraction=0.01): """ Constructor. :param fraction: fraction of elements to keep in normalization :type fraction: float """ assert fraction > 0 assert fraction <= 1 self.fraction = fraction def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ norm = 0 norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) for i in layers: perturbation = perturbed_parameters[i].data - parameters[i].data norm_i = torch.norm(perturbation, p=0).item()# important to avoid GPU memory overhead norm += norm_i norms.append(norm_i) self.norms = norms return norm class HammingNorm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ assert quantization is not None #assert quantization_contexts is not None assert isinstance(quantization_contexts, list) norm = 0 norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) for i in layers: weights = parameters[i].data perturbed_weights = perturbed_parameters[i].data quantized_weights, _ = quantization.quantize(weights, context=quantization_contexts[i]) quantized_perturbed_weights, _ = quantization.quantize(perturbed_weights, context=quantization_contexts[i]) distances = common.torch.int_hamming_distance(quantized_weights, quantized_perturbed_weights) norm_i = torch.sum(distances).item() norm += norm_i norms.append(norm_i) self.norms = norms return norm class RelativeHammingNorm(Norm): def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None): """ Norm. :param model: original model :type model: torch.nn.Module :param perturbed_model: perturbed model :type perturbed_model: torch.nn.Module :param layers: layers to compute norm on :type layers: [int] :param quantization: quantization if required :type quantization: Quantization :param quantization_contexts: quantization contexts for each layer :type quantization_contexts: [dict] """ assert quantization is not None #assert quantization_contexts is not None #assert isinstance(quantization_contexts, list) norm = 0 norms = [] parameters = list(model.parameters()) perturbed_parameters = list(perturbed_model.parameters()) for i in layers: weights = parameters[i].data perturbed_weights = perturbed_parameters[i].data quantized_weights, _ = quantization.quantize(weights, context=quantization_contexts[i]) quantized_perturbed_weights, _ = quantization.quantize(perturbed_weights, context=quantization_contexts[i]) distances = common.torch.int_hamming_distance(quantized_weights, quantized_perturbed_weights) norm_i = torch.sum(distances).item() norm += norm_i norms.append(norm_i) self.norms = norms n, _, _, _ = common.torch.parameter_sizes(model) norm /= n*quantization.repr_precision return norm

34.397959

119

0.641452

1,064

10,113

5.941729

0.085526

0.126542

0.048086

0.045555

0.909206

0.903353

0.890066

0

0.002995

0.273707

10,113

293

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34.515358

0.857726

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0.017241

0

0.232759

0

null

0

1

0

1

0

null

0

7

0c44919ccc746bfb862c413a0d310cce9b8d061d

178

py

Python

app/models/__init__.py

galbino/miocardiopediatra

8b60bbce45d15616058a81f6c329f6eaa063f07f

[ "MIT" ]

null

app/models/__init__.py

galbino/miocardiopediatra

8b60bbce45d15616058a81f6c329f6eaa063f07f

[ "MIT" ]

2

2019-11-06T00:37:17.000Z

2019-11-07T23:10:06.000Z

app/models/__init__.py

galbino/miocardiopediatra

8b60bbce45d15616058a81f6c329f6eaa063f07f

[ "MIT" ]

null

from app.models.User import User from app.models.FAQ import * from app.models.Anamnese import * from app.models.Especialidade import Especialidade from app.models.Exame import *

29.666667

50

0.814607

27

178

5.37037

0.333333

0.241379

0.448276

0.262069

0

0.11236

178

5

51

35.6

0.917722

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

0c56c33d49106d0a495d02e8a344adb562ac79a6

98

py

Python

src/__main__.py

AlbertSuarez/hackeps-pokemonwebspider

362502e6dd89055c9311cbf7981a8477da32dc53

[ "MIT" ]

null

src/__main__.py

AlbertSuarez/hackeps-pokemonwebspider

362502e6dd89055c9311cbf7981a8477da32dc53

[ "MIT" ]

null

src/__main__.py

AlbertSuarez/hackeps-pokemonwebspider

362502e6dd89055c9311cbf7981a8477da32dc53

[ "MIT" ]

1

2019-11-10T21:27:22.000Z

from src import pokemon_web_spider if __name__ == '__main__': pokemon_web_spider.generate()

16.333333

34

0.765306

13

98

4.846154

0.769231

0.31746

0.507937

0

0.153061

98

5

35

19.6

0.759036

0

1

0

0.081633

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

38f22b58d7d098238b57358da5d33d853ef1c2af

135

py

Python

generic/data_provider/batchifier.py

ibrahimSouleiman/GuessWhat

60d140de1aae5ccda27e7d3eef2b9fb9548f0854

[ "Apache-2.0" ]

null

generic/data_provider/batchifier.py

ibrahimSouleiman/GuessWhat

60d140de1aae5ccda27e7d3eef2b9fb9548f0854

[ "Apache-2.0" ]

null

generic/data_provider/batchifier.py

ibrahimSouleiman/GuessWhat

60d140de1aae5ccda27e7d3eef2b9fb9548f0854

[ "Apache-2.0" ]

null

class AbstractBatchifier(object): def filter(self, games): return games def apply(self, games): return games

16.875

33

0.637037

15

135

5.733333

0.6

0.209302

0.348837

0.465116

0

0.281481

135

7

34

19.285714

0.886598

0

0.4

0

1

0.4

false

0

0.4

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

ac2c91cbd1075ba7e524560567d07e5c0bf7ab9a

4,005

py

Python

helper_scripts/csv_to_items.py

osagha/turktools

389c1243e837e946080b28a5ca83faf62890f4b4

[ "Unlicense", "MIT" ]

null

helper_scripts/csv_to_items.py

osagha/turktools

389c1243e837e946080b28a5ca83faf62890f4b4

[ "Unlicense", "MIT" ]

null

helper_scripts/csv_to_items.py

osagha/turktools

389c1243e837e946080b28a5ca83faf62890f4b4

[ "Unlicense", "MIT" ]

null

import csv contexts = ['context-low-bias', 'context-positive-bias', 'context-negative-bias'] answers = ['answer-high-certainty', 'answer-low-certainty', 'answer-reductive-answer', 'answer-exhaustive-answer', 'answer-non-answer'] # create prior items text file out_file_lines = [] with open('stimuli/relevance_stimuli_all.csv') as csvfile: reader = csv.DictReader(csvfile) item_counter = 1 for row in reader: for c in contexts: out_file_lines.append('# target ' + str(item_counter) + ' ' + c) out_file_lines.append(row[c]) out_file_lines.append(row["prompt-likelihood"]) out_file_lines.append('') item_counter += 1 with open('stimuli/prior-items.txt', 'w') as outfile: with open('stimuli/prior-fillers.txt', 'r') as fillers: for line in fillers: outfile.write(line) outfile.write("\n") for line in out_file_lines: outfile.write('%s\n' % line) # create posterior items text file out_file_lines = [] with open('stimuli/relevance_stimuli_all.csv') as csvfile: reader = csv.DictReader(csvfile) item_counter = 1 for row in reader: for c in contexts: for a in answers: out_file_lines.append('# target ' + str(item_counter) + ' ' + c + ' ' + a) out_file_lines.append(row[c]) out_file_lines.append(row["setup-posterior"]) out_file_lines.append(row[a]) out_file_lines.append(row["prompt-likelihood"]) out_file_lines.append('') item_counter += 1 with open('stimuli/posterior-items.txt', 'w') as outfile: with open('stimuli/posterior-fillers.txt', 'r') as fillers: for line in fillers: outfile.write(line) outfile.write("\n") for line in out_file_lines: outfile.write('%s\n' % line) # create helpfulness items text file out_file_lines = [] with open('stimuli/relevance_stimuli_all.csv') as csvfile: reader = csv.DictReader(csvfile) item_counter = 1 for row in reader: for c in contexts: for a in answers: out_file_lines.append('# target ' + str(item_counter) + ' ' + c + ' ' + a) out_file_lines.append(row[c]) out_file_lines.append(row["setup-relevance-your-turn"]) out_file_lines.append(row["Question"]) out_file_lines.append(row["name"] + " responds:") out_file_lines.append(row[a]) out_file_lines.append(row["prompt-helpfulness"].format(name=row["name"])) out_file_lines.append('') item_counter += 1 with open('stimuli/helpfulness-items.txt', 'w') as outfile: with open('stimuli/helpfulness-fillers.txt', 'r') as fillers: for line in fillers: outfile.write(line) outfile.write("\n") for line in out_file_lines: outfile.write('%s\n' % line) # create relevance items text file out_file_lines = [] with open('stimuli/relevance_stimuli_all.csv') as csvfile: reader = csv.DictReader(csvfile) item_counter = 1 for row in reader: for c in contexts: for a in answers: out_file_lines.append('# target ' + str(item_counter) + ' ' + c + ' ' + a) out_file_lines.append(row[c]) out_file_lines.append(row["setup-relevance-your-turn"]) out_file_lines.append(row["Question"]) out_file_lines.append(row["name"] + " responds:") out_file_lines.append(row[a]) out_file_lines.append(row["prompt-relevance"].format(name=row["name"])) out_file_lines.append('') item_counter += 1 with open('stimuli/relevance-items.txt', 'w') as outfile: with open('stimuli/relevance-fillers.txt', 'r') as fillers: for line in fillers: outfile.write(line) outfile.write("\n") for line in out_file_lines: outfile.write('%s\n' % line)

37.429907

135

0.609238

520

4,005

4.523077

0.119231

0.10119

0.173469

0.19898

0.869048

0.812925

0.796344

0

0.002701

0.260424

4,005

106

136

37.783019

0.791357

0.03221

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0.829545

0

0.200207

0.132266

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1

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false

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0.011364

0

null

0

1

0

1

0

null

0

8

ac575718613b23892ad7b591cc5481cee6c07fa5

48

py

Python

src/blueprints/credit/__init__.py

ingvalles/serverless-flask-challenge

ff5c8d2b31fd49d5c9e39648589974dd2a39e1de

[ "Unlicense" ]

null

src/blueprints/credit/__init__.py

ingvalles/serverless-flask-challenge

ff5c8d2b31fd49d5c9e39648589974dd2a39e1de

[ "Unlicense" ]

null

src/blueprints/credit/__init__.py

ingvalles/serverless-flask-challenge

ff5c8d2b31fd49d5c9e39648589974dd2a39e1de

[ "Unlicense" ]

null

from src.blueprints.credit.routes import credit

24

47

0.854167

7

48

5.857143

0.857143

0

0.083333

48

1

48

0.931818

0

1

0

true

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

7

ac8c2ee215c64ae21ae469430899615208b6d6f2

184

py

Python

colour/volume/datasets/__init__.py

OmarWagih1/colour

bdc880a2783ff523dafb19f1233212dd03a639bd

[ "BSD-3-Clause" ]

2

2020-06-20T03:44:41.000Z

2020-06-20T14:08:41.000Z

colour/volume/datasets/__init__.py

OmarWagih1/colour

bdc880a2783ff523dafb19f1233212dd03a639bd

[ "BSD-3-Clause" ]

null

colour/volume/datasets/__init__.py

OmarWagih1/colour

bdc880a2783ff523dafb19f1233212dd03a639bd

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import from .optimal_colour_stimuli import ILLUMINANT_OPTIMAL_COLOUR_STIMULI __all__ = ['ILLUMINANT_OPTIMAL_COLOUR_STIMULI']

23

69

0.815217

22

184

6.045455

0.545455

0.293233

0.451128

0

0.006061

0.103261

184

7

70

26.285714

0.8

0.11413

0

0.204969

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false

0

0.666667

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0.666667

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null

1

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1

0

null

0

1

0

1

0

7

3bd75b583dc60920dbaa3159e030e85ba8dbd63c

571

py

Python

Examples/TV_Remote/pronto_code_converter.py

alex-sherman/MRPC-ESP8266

5e7cef34657411b026fed933b84594c8a446af93

[ "MIT" ]

2

2017-09-28T21:29:26.000Z

2021-02-02T05:36:58.000Z

Examples/TV_Remote/pronto_code_converter.py

alex-sherman/MRPC-ESP8266

5e7cef34657411b026fed933b84594c8a446af93

[ "MIT" ]

null

Examples/TV_Remote/pronto_code_converter.py

alex-sherman/MRPC-ESP8266

5e7cef34657411b026fed933b84594c8a446af93

[ "MIT" ]

1

2017-03-13T02:30:54.000Z

# Some sites give IR codes in this weird pronto format # Cut off the preamble and footer and find which value represents a 1 in the spacing code = "0000 0016 0000 0016 0000 0016 0000 003F 0000 003F 0000 003F 0000 0016 0000 003F 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 003F 0000 0016 0000 003F 0000 003F 0000 0016 0000 0016 0000 003F 0000 003F 0000 0016 0000 003F 0000 0016 0000 0016 0000 003F 0000 003F 0000 0016 0000" print(int(''.join(list(map(lambda x: "1" if x == '003F' else "0", code.split(' ')[1::2]))), 2))

95.166667

333

0.744308

110

571

3.863636

0.354545

0.376471

0.564706

0.451765

0.611765

0.489412

0

0.555076

0.189142

571

6

334

95.166667

0.362851

0.236427

0

0.5

0.762673

0

1

0

false

0

0.5

0

null

1

0

1

0

1

0

1

0

1

0

null

0

1

0

9

3bf9fdfba2dc1f0af5d203127895ff577f3f1ab5

81

py

Python

kevin/developing/notation/__init__.py

cantbeblank96/kevin_toolbox

a258b2a42c9b4d042decb193354ecb7419bd837c

[ "MIT" ]

null

kevin/developing/notation/__init__.py

cantbeblank96/kevin_toolbox

a258b2a42c9b4d042decb193354ecb7419bd837c

[ "MIT" ]

null

kevin/developing/notation/__init__.py

cantbeblank96/kevin_toolbox

a258b2a42c9b4d042decb193354ecb7419bd837c

[ "MIT" ]

null

from .write import Kevin_Notation_Writer from .read import Kevin_Notation_Reader

27

40

0.876543

12

81

5.583333

0.666667

0.328358

0.567164

0

0.098765

81

2

41

40.5

0.917808

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

0202146ed214ebaff3e8bfae0e22f1064cdd5442

154

py

Python

test/test_fan_failure.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

1

2017-03-25T17:40:57.000Z

test/test_fan_failure.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

null

test/test_fan_failure.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

null

from test.assert_json import assert_json from topcoder.fan_failure import solution def test_fan_failure (): assert_json('fan_failure', solution)

25.666667

44

0.792208

22

154

5.227273

0.454545

0.26087

0

0.142857

154

5

45

30.8

0.871212

0

0.071429

0

0.5

1

0.25

true

0

0.5

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

1

0

8

028892e3e48151db42f67943eea0c8cb278ee0f9

1,764

py

Python

Homework/2.homework/Tests/test_add.py

mevljas/Quality_and_testing

6a39610084b1538eae270682a6842270e8971b7f

[ "MIT" ]

null

Homework/2.homework/Tests/test_add.py

mevljas/Quality_and_testing

6a39610084b1538eae270682a6842270e8971b7f

[ "MIT" ]

null

Homework/2.homework/Tests/test_add.py

mevljas/Quality_and_testing

6a39610084b1538eae270682a6842270e8971b7f

[ "MIT" ]

null

import pexpect def test_bst_print(): baza = pexpect.pexpect() try: baza.expect("command>") baza.send("add") baza.expect("add> EMSO:") baza.send("3105940500232") baza.expect("add> NAME:") baza.send("Janez Albert") baza.expect("add> SURNAME:") baza.send("Novak") baza.expect("add> AGE:") baza.send("80") baza.expect(">> OK") baza.expect("command>") baza.send("add") baza.expect("add> EMSO:") baza.send("310594050023") baza.expect("add> NAME:") baza.send("Janez Albertt") baza.expect("add> SURNAME:") baza.send("Novakk") baza.expect("add> AGE:") baza.send("1") baza.expect(">> Invalid input data") baza.expect("command>") baza.send("add") baza.expect("add> EMSO:") baza.send("3105940500235") baza.expect("add> NAME:") baza.send("Janez Albertt") baza.expect("add> SURNAME:") baza.send("Novakk") baza.expect("add> AGE:") baza.send("-1") baza.expect(">> Invalid input data") baza.expect("command>") baza.send("add") baza.expect("add> EMSO:") baza.send("3105940500232") baza.expect("add> NAME:") baza.send("Janez Albert") baza.expect("add> SURNAME:") baza.send("Novak") baza.expect("add> AGE:") baza.send("80") baza.expect(">> Patient already exists") baza.expect("command>") baza.send("exit") baza.expect("Bye") print "PASSED\ttest_add" except: print "FAILED\ttest_add" finally: baza.kill() if __name__ == "__main__": test_bst_print()

24.164384

48

0.524376

195

1,764

4.671795

0.220513

0.285401

0.228321

0.115258

0.787047

0.759605

0

0.046266

0.301587

1,764

72

49

24.5

0.693182

0

0.672414

0

0.266024

0

null

0.017241

null

0.068966

0

null

1

0

1

0

null

0

1

0

8

5a32a99db50efa45125e7e6383dc64180d794e73

39,026

py

Python

scripts/tf_cnn_benchmarks/leading_indicators_test.py

kyuucr/benchmarks

5054769776afbec4f920d6e4b6d4dc325a9ed1d2

[ "Apache-2.0" ]

null

scripts/tf_cnn_benchmarks/leading_indicators_test.py

kyuucr/benchmarks

5054769776afbec4f920d6e4b6d4dc325a9ed1d2

[ "Apache-2.0" ]

null

scripts/tf_cnn_benchmarks/leading_indicators_test.py

kyuucr/benchmarks

5054769776afbec4f920d6e4b6d4dc325a9ed1d2

[ "Apache-2.0" ]

null

# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Benchmark various leading indicators CNNs. The purpose of these tests is to test each model as a high level baseline and to ensure the various variable_update options have not regressing. Not all options are tested. The tests focus on the most viable options. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import ctypes import logging import os import sys from absl import flags from absl.testing import absltest # pylint: disable=unused-import import benchmark_cnn from platforms import util as platforms_util import tensorflow as tf flags.DEFINE_integer('num_batches', None, 'number of batches to run, excluding warmup') class BenchmarkBase(tf.test.Benchmark): """Base class for all benchmarks in this file.""" def __init__(self, output_dir=None, root_data_dir=None): """Base class for all benchmarks in this file. Args: output_dir: directory where to output e.g. log files root_data_dir: directory under which to look for dataset """ # Load default values if the benchmark is not run with absl.app.run() if not flags.FLAGS.is_parsed(): flags.FLAGS.mark_as_parsed() self.fake_data_dir = os.path.join(platforms_util.get_test_data_dir(), 'fake_tf_record_data') if root_data_dir is None: self.data_dir = ('/readahead/200M/placer/prod/home/distbelief/' 'imagenet-tensorflow/imagenet-2012-tfrecord') else: self.data_dir = os.path.join(root_data_dir, 'imagenet') self.output_dir = output_dir def _run_benchmark(self, params): """Run a CNN benchmark and report its results. Args: params: Params tuple, typically created by benchmark_cnn.make_params or benchmark_cnn.make_params_from_flags. """ logging.info('Running benchmark [%s]', self._get_name()) params = benchmark_cnn.setup(params) bench = benchmark_cnn.BenchmarkCNN(params) bench.print_info() stats = bench.run() extras = {} extras['examples_per_sec'] = stats.get('images_per_sec') if 'last_average_loss' in stats: extras['last_average_loss'] = stats['last_average_loss'] if 'top_1_accuracy' in stats: extras['top_1_accuracy'] = stats['top_1_accuracy'] if 'top_5_accuracy' in stats: extras['top_5_accuracy'] = stats['top_5_accuracy'] self.report_benchmark( iters=stats.get('num_steps'), wall_time=stats.get('average_wall_time'), extras=extras) def _shared_params(self): """Returns shared parameters for all benchmarks in this file.""" params = {} if flags.FLAGS.num_batches is not None: params['num_batches'] = flags.FLAGS.num_batches if self.output_dir is not None: params['benchmark_log_dir'] = self.output_dir return benchmark_cnn.make_params(**params) def _binary_search_batch_size(self, params, init_batch_size): """Find the max batch_size using binary search.""" assert init_batch_size > 0 low_batch_size = 0 high_batch_size = None batch_size = init_batch_size # No need to run a warmup or many batches; if it doesn't OOM after 10 # batches, it should work in general. params = params._replace(num_batches=10, num_warmup_batches=0) # Find high_batch_size first. tf.logging.info( 'Looking for upper bound to batch size, starting with %d' % batch_size) while high_batch_size is None: tf.logging.info('Trying batch_size %d' % batch_size) params = params._replace(batch_size=batch_size) bench = benchmark_cnn.BenchmarkCNN(params) bench.print_info() try: bench.run() low_batch_size = batch_size batch_size *= 2 except tf.errors.ResourceExhaustedError: high_batch_size = batch_size - 1 # Binary Search tf.logging.info( 'Max batch size is in range (%d, %d]. Starting binary search to find ' 'exact max batch size.' % (low_batch_size, batch_size)) while low_batch_size < high_batch_size: batch_size = (low_batch_size + high_batch_size + 1) // 2 tf.logging.info('Trying batch_size %d' % batch_size) params = params._replace(batch_size=batch_size) bench = benchmark_cnn.BenchmarkCNN(params) bench.print_info() try: bench.run() low_batch_size = batch_size except tf.errors.ResourceExhaustedError: high_batch_size = batch_size - 1 self.report_benchmark(extras={'max_batch_size': low_batch_size}) class Resnet50BenchmarksInferenceCpu(BenchmarkBase): """"Benchmarks for ResNet50 inference on CPU.""" def _shared_params(self): """Returns shared parameters for all ResNet50 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( num_gpus=1, model='resnet50', num_warmup_batches=5, num_batches=50, distortions=False, forward_only=True, device='cpu', data_format='NHWC', num_intra_threads=0) def benchmark_synth_forward_batch1(self): """Tests 1 CPU batch size 1.""" params = self._shared_params()._replace(batch_size=1) self._run_benchmark(params) def benchmark_synth_forward_batch16(self): """Tests 1 CPU batch size 16.""" params = self._shared_params()._replace(batch_size=16) self._run_benchmark(params) class FrozenResnet50BenchmarksInferenceCpu(Resnet50BenchmarksInferenceCpu): """"Benchmarks for ResNet50 frozen graph inference on CPU.""" def _shared_params(self): return super(FrozenResnet50BenchmarksInferenceCpu, self)._shared_params()._replace(freeze_when_forward_only=True) class Resnet50BenchmarksInference(BenchmarkBase): """"Benchmarks for ResNet50 inference.""" def _shared_params(self): """Returns shared parameters for all ResNet50 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( num_gpus=1, model='resnet50', distortions=False, forward_only=True) def benchmark_synth_forward_batch128(self): """Tests 1 GPU batch size 128.""" params = self._shared_params()._replace(batch_size=128) self._run_benchmark(params) def benchmark_fp16_synth_forward_batch128(self): """Tests 1 GPU batch size 128 FP16.""" params = self._shared_params()._replace(batch_size=128, use_fp16=True) self._run_benchmark(params) def benchmark_fp16_synth_forward_batch16(self): """Tests 1 GPU batch size 16 FP16.""" params = self._shared_params()._replace(batch_size=16, use_fp16=True) self._run_benchmark(params) def benchmark_xla_synth_forward_batch128(self): """Tests 1 GPU batch size 128 with XLA.""" params = self._shared_params()._replace(batch_size=128, xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_forward_batch128(self): """Tests 1 GPU batch size 128 FP16 with XLA.""" params = self._shared_params()._replace( batch_size=128, use_fp16=True, xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_forward_batch16(self): """Tests 1 GPU batch size 16 FP16 with XLA.""" params = self._shared_params()._replace( batch_size=16, use_fp16=True, xla=True) self._run_benchmark(params) class FrozenResnet50BenchmarksInference(Resnet50BenchmarksInference): """"Benchmarks for ResNet50 frozen graph inference.""" def _shared_params(self): return super(FrozenResnet50BenchmarksInference, self)._shared_params()._replace(freeze_when_forward_only=True) def benchmark_trt_synth_forward_batch128(self): """Tests 1 GPU batch size 128.""" params = self._shared_params()._replace(batch_size=128, trt_mode='FP32') self._run_benchmark(params) # TODO(laigd): enable fp16 tests for TF-TRT, it's currently not supported yet. # def benchmark_fp16_trt_synth_forward_batch128(self): # """Tests 1 GPU batch size 128 FP16.""" # params = self._shared_params()._replace( # batch_size=128, use_fp16=True, trt_mode='FP16') # self._run_benchmark(params) # Test with batch size 16 to compare with native TF GPU implementation and # XLA. # def benchmark_fp16_trt_synth_forward_batch16(self): # """Tests 1 GPU batch size 16 FP16.""" # params = self._shared_params()._replace( # batch_size=16, use_fp16=True, trt_mode='FP16') # self._run_benchmark(params) class Resnet50Benchmarks(BenchmarkBase): """"Benchmark resnet50 configurations.""" def _shared_params(self): """Returns shared parameters for all ResNet50 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='resnet50', batch_size=128, distortions=False) def _shared_params_fp16(self): """Returns shared parameters for all ResNet50 FP16 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='resnet50', batch_size=256, distortions=False, use_fp16=True, ) def benchmark_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params()._replace(num_gpus=1) self._run_benchmark(params) def benchmark_synth_1gpu_gpuparams_batch64(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params()._replace(num_gpus=1, batch_size=64) self._run_benchmark(params) def benchmark_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet') self._run_benchmark(params) def benchmark_synth_1gpu_max_batch_size(self): """Finds largest batch size that can be run with 1 gpu using synth data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server') self._binary_search_batch_size(params, init_batch_size=128) def benchmark_synth_4gpu_gpuparams(self): """Tests 4 gpus with synthetic data with parameters on the gpus.""" params = self._shared_params()._replace( num_gpus=4, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fake_4gpu_gpuparams(self): """Tests 4 gpus with fake data with parameters on the gpus.""" params = self._shared_params()._replace( num_gpus=4, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server') self._run_benchmark(params) def benchmark_synth_4gpu_cpuparams(self): """Tests 4 gpus with synthetic data with parameters on the cpu.""" params = self._shared_params()._replace( num_gpus=4, variable_update='parameter_server', local_parameter_device='cpu') self._run_benchmark(params) def benchmark_synth_8gpu_cpuparams(self): """Tests 8 gpus with synthetic data with parameters on the cpu.""" params = self._shared_params()._replace( num_gpus=8, variable_update='parameter_server', local_parameter_device='cpu') self._run_benchmark(params) def benchmark_fake_4gpu_cpuparams(self): """Tests 4 gpus with fake data with parameters on the cpu.""" params = self._shared_params()._replace( num_gpus=4, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', local_parameter_device='cpu') self._run_benchmark(params) def benchmark_fake_8gpu_cpuparams(self): """Tests 8 gpus with fake data with parameters on the cpu.""" params = self._shared_params()._replace( num_gpus=8, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', local_parameter_device='cpu') self._run_benchmark(params) def benchmark_synth_4gpu_gpureplicated(self): """Tests 4 gpu with synthetic data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=4, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_synth_8gpu_gpureplicated(self): """Tests 8 gpu with synthetic data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=8, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_fake_8gpu_gpureplicated(self): """Tests 8 gpu with fake data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=8, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) # FP16 mixed-precisions tests. def benchmark_fp16_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with parameters on the gpu.""" params = self._shared_params_fp16()._replace( num_gpus=1, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams_batch128(self): """Tests 1 gpu with synthetic data with parameters on the gpu.""" params = self._shared_params_fp16()._replace( num_gpus=1, batch_size=128, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams_batch64(self): """Tests 1 gpu with synthetic data with parameters on the gpu.""" params = self._shared_params_fp16()._replace( num_gpus=1, batch_size=64, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_4gpu_gpuparams(self): """Tests 4 gpus with synthetic data with parameters on the gpus.""" params = self._shared_params_fp16()._replace( num_gpus=4, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_4gpu_gpureplicated(self): """Tests 4 gpu with synthetic data with nccl and all_reduce.""" params = self._shared_params_fp16()._replace( num_gpus=4, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_fp16_synth_8gpu_gpureplicated(self): """Tests 8 gpu with synthetic with nccl and all_reduce.""" params = self._shared_params_fp16()._replace( num_gpus=8, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_fp16_fake_1gpu_gpuparams(self): """Tests 1 gpus with fake data.""" params = self._shared_params_fp16()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_fake_8gpu_gpureplicated(self): """Tests 8 gpus with fake data.""" params = self._shared_params_fp16()._replace( num_gpus=8, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_fp16_fakedistort_8gpu_gpureplicated(self): """Tests 8 gpus with fake distorted data.""" params = self._shared_params_fp16()._replace( num_gpus=8, data_dir=self.fake_data_dir, data_name='imagenet', distortions=True, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) # XLA versions of Resnet50 tests only for single GPU. def benchmark_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, synthetic data with XLA.""" params = self._shared_params_fp16()._replace( num_gpus=1, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) # Test does not run as part of continuous testing on guitar. def benchmark_ng_xla_batch64_synth_1gpu_gpuparams(self): """Tests 1 gpu with XLA, synth data, and batch 64.""" params = self._shared_params()._replace( num_gpus=1, batch_size=64, variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_batch64_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, XLA, synth data, and batch 64.""" params = self._shared_params_fp16()._replace( num_gpus=1, batch_size=64, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) def benchmark_fp16_xla_batch128_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, XLA, and synth data.""" params = self._shared_params_fp16()._replace( num_gpus=1, batch_size=128, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) def benchmark_xla_synth_1gpu_max_batch_size(self): """Finds largest batch that can be run with XLA, 1 gpu, and synth data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._binary_search_batch_size(params, init_batch_size=128) def benchmark_xla_real_1gpu_gpuparams(self): """Tests 1 gpu with real data with XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.data_dir, variable_update='parameter_server', xla=True) self._run_benchmark(params) # Test does not run as part of continuous testing. def benchmark_xla_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data with XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', xla=True) self._run_benchmark(params) # Test does not run as part of continuous testing. def benchmark_xla_fakedistort_1gpu_gpuparams(self): """Tests 1 gpu with fake distorted data with XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', distortions=True, variable_update='parameter_server', xla=True) self._run_benchmark(params) class Resnet50v15Benchmarks(BenchmarkBase): """"Benchmark various ResNet50V1.5 configurations. ResNetV1.5 differs from V1 in stride 2 is used in the first 3x3 convolution of each block instead of the first 1x1 convolution. """ def _shared_params_fp16(self): """Returns shared parameters for all ResNet50v1.5 FP16 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='resnet50_v1.5', batch_size=256, distortions=False, use_fp16=True, ) def benchmark_fp16_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params_fp16()._replace(num_gpus=1) self._run_benchmark(params) def benchmark_fp16_batch256_synth_8gpu_gpuparams(self): """Tests 8 gpus with synthetic data at batch 256.""" params = self._shared_params_fp16()._replace(num_gpus=8, batch_size=256) self._run_benchmark(params) def benchmark_fp16_batch128_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data at batch 128 (useful for small GPUs).""" params = self._shared_params_fp16()._replace(num_gpus=1, batch_size=128) self._run_benchmark(params) def benchmark_fp16_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data.""" params = self._shared_params_fp16()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet') self._run_benchmark(params) def benchmark_fp16_synth_4gpu_cpuparams(self): """Tests 4 gpus with synthetic data with parameters on the cpu.""" params = self._shared_params_fp16()._replace( num_gpus=4, variable_update='parameter_server', local_parameter_device='cpu') self._run_benchmark(params) def benchmark_fp16_synth_8gpu_gpureplicated(self): """Tests 8 gpu with synthetic data with parameters replicated.""" params = self._shared_params_fp16()._replace( num_gpus=8, num_batches=200, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2) self._run_benchmark(params) def benchmark_fp16_fake_8gpu_gpureplicated(self): """Tests 8 gpu with fake data with parameters replicated.""" params = self._shared_params_fp16()._replace( num_gpus=8, num_batches=200, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2) self._run_benchmark(params) # XLA versions of Resnet50v1.5 tests. def benchmark_fp16_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, synthetic data with XLA.""" params = self._shared_params_fp16()._replace(num_gpus=1, xla=True) self._run_benchmark(params) def benchmark_fp16_xla_batch128_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, batch128, synthetic data with XLA.""" params = self._shared_params_fp16()._replace( num_gpus=1, batch_size=128, xla=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params_fp16()._replace(num_gpus=1, xla_compile=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_batch128_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data at batch 128 (useful for small GPUs).""" params = self._shared_params_fp16()._replace( num_gpus=1, num_batches=200, batch_size=128, xla_compile=True) self._run_benchmark(params) def benchmark_fp16_xla_batch256_synth_8gpu_gpuparams(self): """Tests 8 gpu with synthetic data and xla autojit.""" params = self._shared_params_fp16()._replace( num_gpus=8, num_batches=200, batch_size=256, xla=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data.""" params = self._shared_params_fp16()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', xla_compile=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_synth_8gpu_gpureplicated(self): """Tests 8 gpu with synthetic data with parameters replicated.""" params = self._shared_params_fp16()._replace( num_gpus=8, num_batches=200, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, xla_compile=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_fake_8gpu_gpureplicated(self): """Tests 8 gpu with fake data with parameters replicated.""" params = self._shared_params_fp16()._replace( num_gpus=8, num_batches=200, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, xla_compile=True) self._run_benchmark(params) class Vgg16Benchmarks(BenchmarkBase): """"Benchmark various vgg16 configurations.""" def _shared_params(self): """Returns shared parameters for all vgg16 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='vgg16', batch_size=128, distortions=False) def benchmark_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with parameters on gpu.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with parameters on gpu.""" params = self._shared_params()._replace( num_gpus=1, use_fp16=True, variable_update='parameter_server') self._run_benchmark(params) def benchmark_synth_4gpu_gpureplicated(self): """Tests 4 gpu with synthetic data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=4, all_reduce_spec='nccl', variable_update='replicated', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_synth_8gpu_gpureplicated(self): """Tests 8 gpu with synthetic data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=8, all_reduce_spec='nccl', variable_update='replicated', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) # XLA versions of VGG16 tests only for single GPU. def benchmark_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data and XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, synthetic data, and XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) # Test does not run as part of continuous testing. def benchmark_xla_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data and XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_xla_real_1gpu_gpuparams(self): """Tests 1 gpu with real data and XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.data_dir, variable_update='parameter_server', xla=True) self._run_benchmark(params) class TrivialBenchmarks(BenchmarkBase): """"Benchmarks for trivial model. The purpose of these tests is to verify the upper bound for the input pipeline. Fake data creates an upperbound on the input pipeline throughput. """ def _shared_params(self): """Returns shared parameters for all trivial benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='trivial', num_gpus=8, distortions=False, variable_update='independent', data_dir=self.fake_data_dir) def benchmark_fake_64batch(self): params = self._shared_params()._replace(batch_size=64, data_name='imagenet') self._run_benchmark(params) def benchmark_fake_128batch(self): params = self._shared_params()._replace( batch_size=128, data_name='imagenet') self._run_benchmark(params) def benchmark_fake_256batch(self): params = self._shared_params()._replace( batch_size=256, data_name='imagenet') self._run_benchmark(params) def benchmark_fakedistort_128batch(self): params = self._shared_params()._replace( batch_size=128, data_name='imagenet', distortions=True) self._run_benchmark(params) class AlexnetBenchmarks(BenchmarkBase): """"Benchmarks for alexnet.""" def _shared_params(self): """Returns shared parameters for all alexnet benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='alexnet', batch_size=512, distortions=False) def benchmark_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with parameters on gpu.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data with parameters on gpu.""" params = self._shared_params()._replace( num_gpus=1, use_fp16=True, variable_update='parameter_server') self._run_benchmark(params) def benchmark_synth_8gpu_gpureplicated(self): """Tests 8 gpus with synthetic data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=8, variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) def benchmark_fake_8gpu_gpureplicated(self): """Tests 8 gpus with fake data with parameters replicated.""" params = self._shared_params()._replace( num_gpus=8, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='replicated', all_reduce_spec='nccl', compact_gradient_transfer=False, gradient_repacking=2) self._run_benchmark(params) # XLA Benchmark tests for AlexNet. def benchmark_xla_synth_1gpuparams(self): """Tests 1 gpu with synthetic data and XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, synthetic data and XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) # Test does not run as part of continuous testing. def benchmark_xla_fake_1gpuparams(self): """Tests 1 gpu with fake data and XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_xla_real_1gpuparams(self): """Tests 1 gpu with real data and XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.data_dir, variable_update='parameter_server', xla=True) self._run_benchmark(params) class InceptionV3Benchmarks(BenchmarkBase): """"Benchmark for InceptionV3.""" def _shared_params(self): """Returns shared parameters for all InceptionV3 benchmarks.""" return BenchmarkBase._shared_params(self)._replace( model='inception3', batch_size=64, distortions=False) def benchmark_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic data.""" params = self._shared_params()._replace( num_gpus=1, use_fp16=True, variable_update='parameter_server') self._run_benchmark(params) def benchmark_synth_1gpu_max_batch_size(self): """Finds largest batch size that can be run with 1 gpu using synth data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server') self._binary_search_batch_size(params, init_batch_size=128) def benchmark_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with synthetic and XLA.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_1gpu_gpuparams(self): """Tests 1 gpu with fp16, XLA and synthetic data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) def benchmark_xla_synth_1gpu_max_batch_size(self): """Finds largest batch that can be run with XLA, 1 gpu, and synth data.""" params = self._shared_params()._replace( num_gpus=1, variable_update='parameter_server', xla=True) self._binary_search_batch_size(params, init_batch_size=128) # Test does not run as part of continuous testing. def benchmark_xla_fake_1gpu_gpuparams(self): """Tests 1 gpu with fake data with XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.fake_data_dir, data_name='imagenet', variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_xla_real_1gpu_gpuparams(self): """Tests 1 gpu with real data with XLA.""" params = self._shared_params()._replace( num_gpus=1, data_dir=self.data_dir, variable_update='parameter_server', xla=True) self._run_benchmark(params) class NcfBenchmarks(BenchmarkBase): """Benchmarks for neural collaborative filtering.""" def _shared_params(self): return BenchmarkBase._shared_params(self)._replace( model='ncf', batch_size=64*1024, num_gpus=1, num_warmup_batches=1) def benchmark_synth_1gpu_gpuparams(self): params = self._shared_params()._replace(variable_update='parameter_server') self._run_benchmark(params) def benchmark_fp16_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', use_fp16=True) self._run_benchmark(params) def benchmark_xla_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_fp16_xla_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla=True, use_fp16=True) self._run_benchmark(params) def benchmark_xla_compile_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla_compile=True) self._run_benchmark(params) def benchmark_fp16_xla_compile_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla_compile=True, use_fp16=True) self._run_benchmark(params) class DeepSpeech2Benchmarks(BenchmarkBase): """Benchmarks for DeepSpeech2 model.""" def _shared_params(self): return BenchmarkBase._shared_params(self)._replace( model='deepspeech2', batch_size=32, num_gpus=1, data_name='librispeech') def benchmark_synth_1gpu_gpuparams(self): params = self._shared_params()._replace(variable_update='parameter_server') self._run_benchmark(params) def benchmark_xla_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla=True) self._run_benchmark(params) def benchmark_xla_compile_synth_1gpu_gpuparams(self): params = self._shared_params()._replace( variable_update='parameter_server', xla_compile=True) self._run_benchmark(params) class SsdBenchmarks(BenchmarkBase): """Benchmarks for SSD model.""" def _cudnn_version(self): if sys.platform == 'win32': return None lib = ctypes.cdll.LoadLibrary(None) if hasattr(lib, 'cudnnGetErrorString'): version = lib.cudnnGetVersion() return version return None def _shared_params(self): cudnn_version = self._cudnn_version() if cudnn_version is None or cudnn_version < 7300: raise RuntimeError( 'Needs at least cuDNN 7.3 to work with fp16 (b/112048183). ' 'Build with --define=use_experimental_cudnn=1') return BenchmarkBase._shared_params(self)._replace( # TODO(b/115672206): Replace backbone model and data dir with replicated # placer location for better performance. backbone_model_path=platforms_util.get_ssd_backborn_model_file(), # pylint: disable=line-too-long data_dir=platforms_util.get_ssd_backboard_data_dir(), batch_size=128, data_name='coco', model='ssd300', num_batches=10, num_warmup_batches=1, num_gpus=1, optimizer='momentum', momentum=0.9, weight_decay=5e-4, loss_type_to_report='base_loss', single_l2_loss_op=True, compute_lr_on_cpu=True, ) def benchmark_xla_compile_real_1gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=1, xla_compile=True, ) self._run_benchmark(params) def benchmark_real_1gpu_gpuparams(self): params = self._shared_params()._replace(num_gpus=1,) self._run_benchmark(params) def benchmark_xla_compile_fp16_real_1gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=1, xla_compile=True, use_fp16=True) self._run_benchmark(params) def benchmark_fp16_real_1gpu_gpuparams(self): params = self._shared_params()._replace(num_gpus=1, use_fp16=True) self._run_benchmark(params) def benchmark_xla_compile_real_8gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=8, xla_compile=True, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, num_batches=50, ) self._run_benchmark(params) def benchmark_real_8gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=8, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, num_batches=50, ) self._run_benchmark(params) def benchmark_xla_compile_fp16_real_8gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=8, xla_compile=True, use_fp16=True, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, num_batches=50, ) self._run_benchmark(params) def benchmark_fp16_real_8gpu_gpuparams(self): params = self._shared_params()._replace( num_gpus=8, use_fp16=True, variable_update='replicated', all_reduce_spec='nccl', gradient_repacking=2, num_batches=50, ) self._run_benchmark(params) if __name__ == '__main__': tf.test.main()

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0.086501

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36.303256

0.791227

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null

0

1

0

1

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null

0

7

5a555d4a5772cfcd1bdc368d802d1889747b5363

7,372

py

Python

gcp/api/osv_service_v1_pb2_grpc.py

pombredanne/osv

1763d62d5780d20f142f79fb6c4d98b27fe4e8ca

[ "Apache-2.0" ]

483

2021-02-05T18:54:17.000Z

2022-03-29T20:38:07.000Z

gcp/api/osv_service_v1_pb2_grpc.py

pombredanne/osv

1763d62d5780d20f142f79fb6c4d98b27fe4e8ca

[ "Apache-2.0" ]

142

2021-02-05T23:35:58.000Z

2022-03-31T04:18:12.000Z

gcp/api/osv_service_v1_pb2_grpc.py

pombredanne/osv

1763d62d5780d20f142f79fb6c4d98b27fe4e8ca

[ "Apache-2.0" ]

63

2021-02-06T11:50:39.000Z

2022-03-30T09:42:34.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from osv import vulnerability_pb2 as osv_dot_vulnerability__pb2 import osv_service_v1_pb2 as osv__service__v1__pb2 class OSVStub(object): """Open source vulnerability database. """ def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.GetVulnById = channel.unary_unary( '/osv.v1.OSV/GetVulnById', request_serializer=osv__service__v1__pb2.GetVulnByIdParameters.SerializeToString, response_deserializer=osv_dot_vulnerability__pb2.Vulnerability.FromString, ) self.QueryAffected = channel.unary_unary( '/osv.v1.OSV/QueryAffected', request_serializer=osv__service__v1__pb2.QueryAffectedParameters.SerializeToString, response_deserializer=osv__service__v1__pb2.VulnerabilityList.FromString, ) self.GetVulnByIdNew = channel.unary_unary( '/osv.v1.OSV/GetVulnByIdNew', request_serializer=osv__service__v1__pb2.GetVulnByIdParameters.SerializeToString, response_deserializer=osv_dot_vulnerability__pb2.Vulnerability.FromString, ) self.QueryAffectedNew = channel.unary_unary( '/osv.v1.OSV/QueryAffectedNew', request_serializer=osv__service__v1__pb2.QueryAffectedParameters.SerializeToString, response_deserializer=osv__service__v1__pb2.VulnerabilityList.FromString, ) class OSVServicer(object): """Open source vulnerability database. """ def GetVulnById(self, request, context): """Return a `Vulnerability` object for a given OSV ID. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def QueryAffected(self, request, context): """Query vulnerabilities for a particular project at a given commit or version. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetVulnByIdNew(self, request, context): """Return a `Vulnerability` object for a given OSV ID. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def QueryAffectedNew(self, request, context): """Query vulnerabilities for a particular project at a given commit or version. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_OSVServicer_to_server(servicer, server): rpc_method_handlers = { 'GetVulnById': grpc.unary_unary_rpc_method_handler( servicer.GetVulnById, request_deserializer=osv__service__v1__pb2.GetVulnByIdParameters.FromString, response_serializer=osv_dot_vulnerability__pb2.Vulnerability.SerializeToString, ), 'QueryAffected': grpc.unary_unary_rpc_method_handler( servicer.QueryAffected, request_deserializer=osv__service__v1__pb2.QueryAffectedParameters.FromString, response_serializer=osv__service__v1__pb2.VulnerabilityList.SerializeToString, ), 'GetVulnByIdNew': grpc.unary_unary_rpc_method_handler( servicer.GetVulnByIdNew, request_deserializer=osv__service__v1__pb2.GetVulnByIdParameters.FromString, response_serializer=osv_dot_vulnerability__pb2.Vulnerability.SerializeToString, ), 'QueryAffectedNew': grpc.unary_unary_rpc_method_handler( servicer.QueryAffectedNew, request_deserializer=osv__service__v1__pb2.QueryAffectedParameters.FromString, response_serializer=osv__service__v1__pb2.VulnerabilityList.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'osv.v1.OSV', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class OSV(object): """Open source vulnerability database. """ @staticmethod def GetVulnById(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/osv.v1.OSV/GetVulnById', osv__service__v1__pb2.GetVulnByIdParameters.SerializeToString, osv_dot_vulnerability__pb2.Vulnerability.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def QueryAffected(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/osv.v1.OSV/QueryAffected', osv__service__v1__pb2.QueryAffectedParameters.SerializeToString, osv__service__v1__pb2.VulnerabilityList.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetVulnByIdNew(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/osv.v1.OSV/GetVulnByIdNew', osv__service__v1__pb2.GetVulnByIdParameters.SerializeToString, osv_dot_vulnerability__pb2.Vulnerability.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def QueryAffectedNew(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/osv.v1.OSV/QueryAffectedNew', osv__service__v1__pb2.QueryAffectedParameters.SerializeToString, osv__service__v1__pb2.VulnerabilityList.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

41.886364

99

0.662235

677

7,372

6.849335

0.155096

0.043131

0.051758

0.064697

0.805693

0.797714

0.758896

0.726116

0

0.010513

0.264514

7,372

175

100

42.125714

0.844707

0.085323

0

0.661654

1

0

0.068103

0.030737

0

1

0.075188

false

0

0.022556

0.030075

0.150376

0

null

0

1

0

1

0

null

0

7

ce4545d81de8d9b80a2abfb8e8e25f1c2f19f7cb

463

py

Python

api/mon/tasks.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

97

2016-11-15T14:44:23.000Z

2022-03-13T18:09:15.000Z

api/mon/tasks.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

334

2016-11-17T19:56:57.000Z

2022-03-18T10:45:53.000Z

api/mon/tasks.py

klebed/esdc-ce

2c9e4591f344247d345a83880ba86777bb794460

[ "Apache-2.0" ]

33

2017-01-02T16:04:13.000Z

2022-02-07T19:20:24.000Z

# noinspection PyUnresolvedReferences from api.mon.base.tasks import * # noqa: F401,F403 # noinspection PyUnresolvedReferences from api.mon.vm.tasks import * # noqa: F401,F403 # noinspection PyUnresolvedReferences from api.mon.node.tasks import * # noqa: F401,F403 # noinspection PyUnresolvedReferences from api.mon.alerting.tasks import * # noqa: F401,F403 # noinspection PyUnresolvedReferences from api.mon.alerting.action.tasks import * # noqa: F401,F403

42.090909

62

0.792657

56

463

6.553571

0.267857

0.463215

0.517711

0.558583

0.956403

0.773842

0

0.073529

0.118791

463

10

63

46.3

0.82598

0.559395

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

12

ce8be91c6ee2caf166dd7dcbb46b7c7dc59a529d

5,993

py

Python

loldib/getratings/models/NA/na_vi/na_vi_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vi/na_vi_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_vi/na_vi_top.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Vi_Top_Aatrox(Ratings): pass class NA_Vi_Top_Ahri(Ratings): pass class NA_Vi_Top_Akali(Ratings): pass class NA_Vi_Top_Alistar(Ratings): pass class NA_Vi_Top_Amumu(Ratings): pass class NA_Vi_Top_Anivia(Ratings): pass class NA_Vi_Top_Annie(Ratings): pass class NA_Vi_Top_Ashe(Ratings): pass class NA_Vi_Top_AurelionSol(Ratings): pass class NA_Vi_Top_Azir(Ratings): pass class NA_Vi_Top_Bard(Ratings): pass class NA_Vi_Top_Blitzcrank(Ratings): pass class NA_Vi_Top_Brand(Ratings): pass class NA_Vi_Top_Braum(Ratings): pass class NA_Vi_Top_Caitlyn(Ratings): pass class NA_Vi_Top_Camille(Ratings): pass class NA_Vi_Top_Cassiopeia(Ratings): pass class NA_Vi_Top_Chogath(Ratings): pass class NA_Vi_Top_Corki(Ratings): pass class NA_Vi_Top_Darius(Ratings): pass class NA_Vi_Top_Diana(Ratings): pass class NA_Vi_Top_Draven(Ratings): pass class NA_Vi_Top_DrMundo(Ratings): pass class NA_Vi_Top_Ekko(Ratings): pass class NA_Vi_Top_Elise(Ratings): pass class NA_Vi_Top_Evelynn(Ratings): pass class NA_Vi_Top_Ezreal(Ratings): pass class NA_Vi_Top_Fiddlesticks(Ratings): pass class NA_Vi_Top_Fiora(Ratings): pass class NA_Vi_Top_Fizz(Ratings): pass class NA_Vi_Top_Galio(Ratings): pass class NA_Vi_Top_Gangplank(Ratings): pass class NA_Vi_Top_Garen(Ratings): pass class NA_Vi_Top_Gnar(Ratings): pass class NA_Vi_Top_Gragas(Ratings): pass class NA_Vi_Top_Graves(Ratings): pass class NA_Vi_Top_Hecarim(Ratings): pass class NA_Vi_Top_Heimerdinger(Ratings): pass class NA_Vi_Top_Illaoi(Ratings): pass class NA_Vi_Top_Irelia(Ratings): pass class NA_Vi_Top_Ivern(Ratings): pass class NA_Vi_Top_Janna(Ratings): pass class NA_Vi_Top_JarvanIV(Ratings): pass class NA_Vi_Top_Jax(Ratings): pass class NA_Vi_Top_Jayce(Ratings): pass class NA_Vi_Top_Jhin(Ratings): pass class NA_Vi_Top_Jinx(Ratings): pass class NA_Vi_Top_Kalista(Ratings): pass class NA_Vi_Top_Karma(Ratings): pass class NA_Vi_Top_Karthus(Ratings): pass class NA_Vi_Top_Kassadin(Ratings): pass class NA_Vi_Top_Katarina(Ratings): pass class NA_Vi_Top_Kayle(Ratings): pass class NA_Vi_Top_Kayn(Ratings): pass class NA_Vi_Top_Kennen(Ratings): pass class NA_Vi_Top_Khazix(Ratings): pass class NA_Vi_Top_Kindred(Ratings): pass class NA_Vi_Top_Kled(Ratings): pass class NA_Vi_Top_KogMaw(Ratings): pass class NA_Vi_Top_Leblanc(Ratings): pass class NA_Vi_Top_LeeSin(Ratings): pass class NA_Vi_Top_Leona(Ratings): pass class NA_Vi_Top_Lissandra(Ratings): pass class NA_Vi_Top_Lucian(Ratings): pass class NA_Vi_Top_Lulu(Ratings): pass class NA_Vi_Top_Lux(Ratings): pass class NA_Vi_Top_Malphite(Ratings): pass class NA_Vi_Top_Malzahar(Ratings): pass class NA_Vi_Top_Maokai(Ratings): pass class NA_Vi_Top_MasterYi(Ratings): pass class NA_Vi_Top_MissFortune(Ratings): pass class NA_Vi_Top_MonkeyKing(Ratings): pass class NA_Vi_Top_Mordekaiser(Ratings): pass class NA_Vi_Top_Morgana(Ratings): pass class NA_Vi_Top_Nami(Ratings): pass class NA_Vi_Top_Nasus(Ratings): pass class NA_Vi_Top_Nautilus(Ratings): pass class NA_Vi_Top_Nidalee(Ratings): pass class NA_Vi_Top_Nocturne(Ratings): pass class NA_Vi_Top_Nunu(Ratings): pass class NA_Vi_Top_Olaf(Ratings): pass class NA_Vi_Top_Orianna(Ratings): pass class NA_Vi_Top_Ornn(Ratings): pass class NA_Vi_Top_Pantheon(Ratings): pass class NA_Vi_Top_Poppy(Ratings): pass class NA_Vi_Top_Quinn(Ratings): pass class NA_Vi_Top_Rakan(Ratings): pass class NA_Vi_Top_Rammus(Ratings): pass class NA_Vi_Top_RekSai(Ratings): pass class NA_Vi_Top_Renekton(Ratings): pass class NA_Vi_Top_Rengar(Ratings): pass class NA_Vi_Top_Riven(Ratings): pass class NA_Vi_Top_Rumble(Ratings): pass class NA_Vi_Top_Ryze(Ratings): pass class NA_Vi_Top_Sejuani(Ratings): pass class NA_Vi_Top_Shaco(Ratings): pass class NA_Vi_Top_Shen(Ratings): pass class NA_Vi_Top_Shyvana(Ratings): pass class NA_Vi_Top_Singed(Ratings): pass class NA_Vi_Top_Sion(Ratings): pass class NA_Vi_Top_Sivir(Ratings): pass class NA_Vi_Top_Skarner(Ratings): pass class NA_Vi_Top_Sona(Ratings): pass class NA_Vi_Top_Soraka(Ratings): pass class NA_Vi_Top_Swain(Ratings): pass class NA_Vi_Top_Syndra(Ratings): pass class NA_Vi_Top_TahmKench(Ratings): pass class NA_Vi_Top_Taliyah(Ratings): pass class NA_Vi_Top_Talon(Ratings): pass class NA_Vi_Top_Taric(Ratings): pass class NA_Vi_Top_Teemo(Ratings): pass class NA_Vi_Top_Thresh(Ratings): pass class NA_Vi_Top_Tristana(Ratings): pass class NA_Vi_Top_Trundle(Ratings): pass class NA_Vi_Top_Tryndamere(Ratings): pass class NA_Vi_Top_TwistedFate(Ratings): pass class NA_Vi_Top_Twitch(Ratings): pass class NA_Vi_Top_Udyr(Ratings): pass class NA_Vi_Top_Urgot(Ratings): pass class NA_Vi_Top_Varus(Ratings): pass class NA_Vi_Top_Vayne(Ratings): pass class NA_Vi_Top_Veigar(Ratings): pass class NA_Vi_Top_Velkoz(Ratings): pass class NA_Vi_Top_Vi(Ratings): pass class NA_Vi_Top_Viktor(Ratings): pass class NA_Vi_Top_Vladimir(Ratings): pass class NA_Vi_Top_Volibear(Ratings): pass class NA_Vi_Top_Warwick(Ratings): pass class NA_Vi_Top_Xayah(Ratings): pass class NA_Vi_Top_Xerath(Ratings): pass class NA_Vi_Top_XinZhao(Ratings): pass class NA_Vi_Top_Yasuo(Ratings): pass class NA_Vi_Top_Yorick(Ratings): pass class NA_Vi_Top_Zac(Ratings): pass class NA_Vi_Top_Zed(Ratings): pass class NA_Vi_Top_Ziggs(Ratings): pass class NA_Vi_Top_Zilean(Ratings): pass class NA_Vi_Top_Zyra(Ratings): pass

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0c99c3535e0be2a2018d4456b0f4326cea4fa65f

28,885

py

Python

sdk/luminesce/api/multi_query_execution_api.py

finbourne/luminesce-sdk-python-preview

7af198cfa9c0fbd619272fb90601162fb7db0a67

[ "MIT" ]

null

sdk/luminesce/api/multi_query_execution_api.py

finbourne/luminesce-sdk-python-preview

7af198cfa9c0fbd619272fb90601162fb7db0a67

[ "MIT" ]

null

sdk/luminesce/api/multi_query_execution_api.py

finbourne/luminesce-sdk-python-preview

7af198cfa9c0fbd619272fb90601162fb7db0a67

[ "MIT" ]

null

# coding: utf-8 """ FINBOURNE Honeycomb Web API FINBOURNE Technology # noqa: E501 The version of the OpenAPI document: 1.9.129 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 luminesce.api_client import ApiClient from luminesce.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class MultiQueryExecutionApi(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 cancel_multi_query(self, execution_id, **kwargs): # noqa: E501 """[EXPERIMENTAL] CancelMultiQuery: Cancels (if running) or clears the data from (if completed) a previously started query-set # noqa: E501 Cancel the query-set (if still running) / clear the data (if already returned) The following error codes are to be anticipated with standard Problem Detail reports: - 401 Unauthorized - 404 Not Found : The requested query result doesn't exist and is not running. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.cancel_multi_query(execution_id, async_req=True) >>> result = thread.get() :param execution_id: ExecutionId returned when starting the query (required) :type execution_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: BackgroundQueryCancelResponse """ kwargs['_return_http_data_only'] = True return self.cancel_multi_query_with_http_info(execution_id, **kwargs) # noqa: E501 def cancel_multi_query_with_http_info(self, execution_id, **kwargs): # noqa: E501 """[EXPERIMENTAL] CancelMultiQuery: Cancels (if running) or clears the data from (if completed) a previously started query-set # noqa: E501 Cancel the query-set (if still running) / clear the data (if already returned) The following error codes are to be anticipated with standard Problem Detail reports: - 401 Unauthorized - 404 Not Found : The requested query result doesn't exist and is not running. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.cancel_multi_query_with_http_info(execution_id, async_req=True) >>> result = thread.get() :param execution_id: ExecutionId returned when starting the query (required) :type execution_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(BackgroundQueryCancelResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'execution_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) 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 cancel_multi_query" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'execution_id' is set if self.api_client.client_side_validation and ('execution_id' not in local_var_params or # noqa: E501 local_var_params['execution_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `execution_id` when calling `cancel_multi_query`") # noqa: E501 collection_formats = {} path_params = {} if 'execution_id' in local_var_params: path_params['executionId'] = local_var_params['execution_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( ['text/plain', 'application/json', 'text/json']) # noqa: E501 header_params['Accept-Encoding'] = "gzip, deflate, br" # Authentication setting auth_settings = ['oauth2'] # noqa: E501 response_types_map = { 200: "BackgroundQueryCancelResponse", } return self.api_client.call_api( '/api/MultiQueryBackground/{executionId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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, _request_auth=local_var_params.get('_request_auth')) def get_progress_of_multi_query(self, execution_id, **kwargs): # noqa: E501 """[EXPERIMENTAL] GetProgressOfMultiQuery: View progress information (up until this point) for the entire query-set # noqa: E501 View progress information (up until this point) for the entire query-set The following error codes are to be anticipated with standard Problem Detail reports: - 401 Unauthorized - 404 Not Found : The requested query result doesn't exist and is not running. - 429 Too Many Requests : Please try your request again soon 1. The query has been executed successfully in the past yet the server-instance receiving this request (e.g. from a load balancer) doesn't yet have this data available. 1. By virtue of the request you have just placed this will have started to load from the persisted cache and will soon be available. 1. It is also the case that the original server-instance to process the original query is likely to already be able to service this request. # 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_progress_of_multi_query(execution_id, async_req=True) >>> result = thread.get() :param execution_id: ExecutionId returned when starting the query (required) :type execution_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: BackgroundMultiQueryProgressResponse """ kwargs['_return_http_data_only'] = True return self.get_progress_of_multi_query_with_http_info(execution_id, **kwargs) # noqa: E501 def get_progress_of_multi_query_with_http_info(self, execution_id, **kwargs): # noqa: E501 """[EXPERIMENTAL] GetProgressOfMultiQuery: View progress information (up until this point) for the entire query-set # noqa: E501 View progress information (up until this point) for the entire query-set The following error codes are to be anticipated with standard Problem Detail reports: - 401 Unauthorized - 404 Not Found : The requested query result doesn't exist and is not running. - 429 Too Many Requests : Please try your request again soon 1. The query has been executed successfully in the past yet the server-instance receiving this request (e.g. from a load balancer) doesn't yet have this data available. 1. By virtue of the request you have just placed this will have started to load from the persisted cache and will soon be available. 1. It is also the case that the original server-instance to process the original query is likely to already be able to service this request. # 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_progress_of_multi_query_with_http_info(execution_id, async_req=True) >>> result = thread.get() :param execution_id: ExecutionId returned when starting the query (required) :type execution_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(BackgroundMultiQueryProgressResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'execution_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) 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_progress_of_multi_query" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'execution_id' is set if self.api_client.client_side_validation and ('execution_id' not in local_var_params or # noqa: E501 local_var_params['execution_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `execution_id` when calling `get_progress_of_multi_query`") # noqa: E501 collection_formats = {} path_params = {} if 'execution_id' in local_var_params: path_params['executionId'] = local_var_params['execution_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( ['text/plain', 'application/json', 'text/json']) # noqa: E501 header_params['Accept-Encoding'] = "gzip, deflate, br" # Authentication setting auth_settings = ['oauth2'] # noqa: E501 response_types_map = { 200: "BackgroundMultiQueryProgressResponse", } return self.api_client.call_api( '/api/MultiQueryBackground/{executionId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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, _request_auth=local_var_params.get('_request_auth')) def start_queries(self, type, body, **kwargs): # noqa: E501 """[EXPERIMENTAL] StartQueries: Starts to Execute the HoneycombSql statements in the background. # noqa: E501 Allow for starting a potentially long running query and getting back an immediate response with how to - fetch the data in various formats (if available, or if not simply being informed it is not yet ready), on a per result basis - view progress information (up until this point), for all results in one go - cancel the queries (if still running) / clear the data (if already returned) The following error codes are to be anticipated with standard Problem Detail reports: - 400 BadRequest - there was something wrong with your query syntax (the issue was detected at parse-time) - 401 Unauthorized # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_queries(type, body, async_req=True) >>> result = thread.get() :param type: An enum value defining the set of statements being executed (required) :type type: MultiQueryDefinitionType :param body: A \"search\" value (e.g. 'Apple' on an instrument search, a `Finbourne.Filtering` expression of Insights, etc.) In the cases where \"Nothing\" is valid for a `Finbourne.Filtering` expression, pass `True`. (required) :type body: str :param as_at: The AsAt time used by any bitemporal provider in the queries. :type as_at: datetime :param effective_at: The EffectiveAt time used by any bitemporal provider in the queries. :type effective_at: datetime :param limit1: A limit that is applied to first-level queries (e.g. Instruments themselves) :type limit1: int :param limit2: A limit that is applied to second-level queries (e.g. Holdings based on the set of Instruments found) :type limit2: int :param input1: A value available to queries, these vary by 'type' and are only used by some types at all. e.g. a start-date of some sort :type input1: str :param input2: A second value available to queries, these vary by 'type' and are only used by some types at all. :type input2: str :param input3: A third value available to queries, these vary by 'type' and are only used by some types at all. :type input3: str :param timeout_seconds: Maximum time the query may run for, in seconds: <0 → ∞, 0 → 1200s (20m) :type timeout_seconds: int :param keep_for_seconds: Maximum time the result may be kept for, in seconds: <0 → 1200 (20m), 0 → 28800 (8h), max = 2,678,400 (31d) :type keep_for_seconds: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: BackgroundMultiQueryResponse """ kwargs['_return_http_data_only'] = True return self.start_queries_with_http_info(type, body, **kwargs) # noqa: E501 def start_queries_with_http_info(self, type, body, **kwargs): # noqa: E501 """[EXPERIMENTAL] StartQueries: Starts to Execute the HoneycombSql statements in the background. # noqa: E501 Allow for starting a potentially long running query and getting back an immediate response with how to - fetch the data in various formats (if available, or if not simply being informed it is not yet ready), on a per result basis - view progress information (up until this point), for all results in one go - cancel the queries (if still running) / clear the data (if already returned) The following error codes are to be anticipated with standard Problem Detail reports: - 400 BadRequest - there was something wrong with your query syntax (the issue was detected at parse-time) - 401 Unauthorized # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_queries_with_http_info(type, body, async_req=True) >>> result = thread.get() :param type: An enum value defining the set of statements being executed (required) :type type: MultiQueryDefinitionType :param body: A \"search\" value (e.g. 'Apple' on an instrument search, a `Finbourne.Filtering` expression of Insights, etc.) In the cases where \"Nothing\" is valid for a `Finbourne.Filtering` expression, pass `True`. (required) :type body: str :param as_at: The AsAt time used by any bitemporal provider in the queries. :type as_at: datetime :param effective_at: The EffectiveAt time used by any bitemporal provider in the queries. :type effective_at: datetime :param limit1: A limit that is applied to first-level queries (e.g. Instruments themselves) :type limit1: int :param limit2: A limit that is applied to second-level queries (e.g. Holdings based on the set of Instruments found) :type limit2: int :param input1: A value available to queries, these vary by 'type' and are only used by some types at all. e.g. a start-date of some sort :type input1: str :param input2: A second value available to queries, these vary by 'type' and are only used by some types at all. :type input2: str :param input3: A third value available to queries, these vary by 'type' and are only used by some types at all. :type input3: str :param timeout_seconds: Maximum time the query may run for, in seconds: <0 → ∞, 0 → 1200s (20m) :type timeout_seconds: int :param keep_for_seconds: Maximum time the result may be kept for, in seconds: <0 → 1200 (20m), 0 → 28800 (8h), max = 2,678,400 (31d) :type keep_for_seconds: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :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. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(BackgroundMultiQueryResponse, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'type', 'body', 'as_at', 'effective_at', 'limit1', 'limit2', 'input1', 'input2', 'input3', 'timeout_seconds', 'keep_for_seconds' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) 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 start_queries" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'type' is set if self.api_client.client_side_validation and ('type' not in local_var_params or # noqa: E501 local_var_params['type'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `type` when calling `start_queries`") # 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 `start_queries`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'type' in local_var_params and local_var_params['type'] is not None: # noqa: E501 query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'as_at' in local_var_params and local_var_params['as_at'] is not None: # noqa: E501 query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'effective_at' in local_var_params and local_var_params['effective_at'] is not None: # noqa: E501 query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'limit1' in local_var_params and local_var_params['limit1'] is not None: # noqa: E501 query_params.append(('limit1', local_var_params['limit1'])) # noqa: E501 if 'limit2' in local_var_params and local_var_params['limit2'] is not None: # noqa: E501 query_params.append(('limit2', local_var_params['limit2'])) # noqa: E501 if 'input1' in local_var_params and local_var_params['input1'] is not None: # noqa: E501 query_params.append(('input1', local_var_params['input1'])) # noqa: E501 if 'input2' in local_var_params and local_var_params['input2'] is not None: # noqa: E501 query_params.append(('input2', local_var_params['input2'])) # noqa: E501 if 'input3' in local_var_params and local_var_params['input3'] is not None: # noqa: E501 query_params.append(('input3', local_var_params['input3'])) # noqa: E501 if 'timeout_seconds' in local_var_params and local_var_params['timeout_seconds'] is not None: # noqa: E501 query_params.append(('timeoutSeconds', local_var_params['timeout_seconds'])) # noqa: E501 if 'keep_for_seconds' in local_var_params and local_var_params['keep_for_seconds'] is not None: # noqa: E501 query_params.append(('keepForSeconds', local_var_params['keep_for_seconds'])) # noqa: E501 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( ['text/plain', 'application/json', 'text/json']) # noqa: E501 header_params['Accept-Encoding'] = "gzip, deflate, br" # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['text/plain']) # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '1.9.129' # Authentication setting auth_settings = ['oauth2'] # noqa: E501 response_types_map = { 202: "BackgroundMultiQueryResponse", 400: "LusidProblemDetails", } return self.api_client.call_api( '/api/MultiQueryBackground', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, 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, _request_auth=local_var_params.get('_request_auth'))

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0c9ed086afaf750c83021054897bc97fb22f031d

26,990

py

Python

tests/test_observable/test_merge.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

tests/test_observable/test_merge.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

tests/test_observable/test_merge.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

import unittest import reactivex from reactivex import operators as ops from reactivex.testing import ReactiveTest, TestScheduler on_next = ReactiveTest.on_next on_completed = ReactiveTest.on_completed on_error = ReactiveTest.on_error subscribe = ReactiveTest.subscribe subscribed = ReactiveTest.subscribed disposed = ReactiveTest.disposed created = ReactiveTest.created class TestMerge(unittest.TestCase): def test_merge_never2(self): scheduler = TestScheduler() n1 = reactivex.never() n2 = reactivex.never() def create(): return reactivex.merge(n1, n2) results = scheduler.start(create) assert results.messages == [] def test_merge_never3(self): scheduler = TestScheduler() n1 = reactivex.never() n2 = reactivex.never() n3 = reactivex.never() def create(): return reactivex.merge(n1, n2, n3) results = scheduler.start(create) assert results.messages == [] def test_merge_empty2(self): scheduler = TestScheduler() e1 = reactivex.empty() e2 = reactivex.empty() def create(): return reactivex.merge(e1, e2) results = scheduler.start(create) assert results.messages == [on_completed(200)] def test_merge_empty3(self): scheduler = TestScheduler() e1 = reactivex.empty() e2 = reactivex.empty() e3 = reactivex.empty() def create(): return reactivex.merge(e1, e2, e3) results = scheduler.start(create) assert results.messages == [on_completed(200)] def test_merge_empty_delayed2_right_last(self): scheduler = TestScheduler() l_msgs = [on_next(150, 1), on_completed(240)] r_msgs = [on_next(150, 1), on_completed(250)] e1 = scheduler.create_hot_observable(l_msgs) e2 = scheduler.create_hot_observable(r_msgs) def create(): return reactivex.merge(e1, e2) results = scheduler.start(create) assert results.messages == [on_completed(250)] def test_merge_empty_delayed2_left_last(self): scheduler = TestScheduler() l_msgs = [on_next(150, 1), on_completed(250)] r_msgs = [on_next(150, 1), on_completed(240)] e1 = scheduler.create_hot_observable(l_msgs) e2 = scheduler.create_hot_observable(r_msgs) def create(): return reactivex.merge(e1, e2) results = scheduler.start(create) assert results.messages == [on_completed(250)] def test_merge_empty_delayed3_middle_last(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_completed(245)] msgs2 = [on_next(150, 1), on_completed(250)] msgs3 = [on_next(150, 1), on_completed(240)] e1 = scheduler.create_hot_observable(msgs1) e2 = scheduler.create_hot_observable(msgs2) e3 = scheduler.create_hot_observable(msgs3) def create(): return reactivex.merge(e1, e2, e3) results = scheduler.start(create) assert results.messages == [on_completed(250)] def test_merge_empty_never(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_completed(245)] e1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(e1, n1) results = scheduler.start(create) assert results.messages == [] def test_merge_never_empty(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_completed(245)] e1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(n1, e1) results = scheduler.start(create) assert results.messages == [] def test_merge_return_never(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_next(210, 2), on_completed(245)] r1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(r1, n1) results = scheduler.start(create) assert results.messages == [on_next(210, 2)] def test_merge_never_return(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_next(210, 2), on_completed(245)] r1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(n1, r1) results = scheduler.start(create) assert results.messages == [on_next(210, 2)] def test_merge_error_never(self): ex = "ex" scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_next(210, 2), on_error(245, ex)] e1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(e1, n1) results = scheduler.start(create) assert results.messages == [on_next(210, 2), on_error(245, ex)] def test_merge_never_error(self): ex = "ex" scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_next(210, 2), on_error(245, ex)] e1 = scheduler.create_hot_observable(msgs1) n1 = reactivex.never() def create(): return reactivex.merge(n1, e1) results = scheduler.start(create) assert results.messages == [on_next(210, 2), on_error(245, ex)] def test_merge_empty_return(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_completed(245)] msgs2 = [on_next(150, 1), on_next(210, 2), on_completed(250)] e1 = scheduler.create_hot_observable(msgs1) r1 = scheduler.create_hot_observable(msgs2) def create(): return reactivex.merge(e1, r1) results = scheduler.start(create) assert results.messages == [on_next(210, 2), on_completed(250)] def test_merge_return_empty(self): scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_completed(245)] msgs2 = [on_next(150, 1), on_next(210, 2), on_completed(250)] e1 = scheduler.create_hot_observable(msgs1) r1 = scheduler.create_hot_observable(msgs2) def create(): return reactivex.merge(r1, e1) results = scheduler.start(create) assert results.messages == [on_next(210, 2), on_completed(250)] def test_merge_lots2(self): scheduler = TestScheduler() msgs1 = [ on_next(150, 1), on_next(210, 2), on_next(220, 4), on_next(230, 6), on_next(240, 8), on_completed(245), ] msgs2 = [ on_next(150, 1), on_next(215, 3), on_next(225, 5), on_next(235, 7), on_next(245, 9), on_completed(250), ] o1 = scheduler.create_hot_observable(msgs1) o2 = scheduler.create_hot_observable(msgs2) def create(): return reactivex.merge(o1, o2) results = scheduler.start(create).messages assert len(results) == 9 for i, result in enumerate(results[:-1]): assert result.value.kind == "N" assert result.time == 210 + i * 5 assert result.value.value == i + 2 assert results[8].value.kind == "C" and results[8].time == 250 def test_merge_lots3(self): scheduler = TestScheduler() msgs1 = [ on_next(150, 1), on_next(210, 2), on_next(225, 5), on_next(240, 8), on_completed(245), ] msgs2 = [ on_next(150, 1), on_next(215, 3), on_next(230, 6), on_next(245, 9), on_completed(250), ] msgs3 = [on_next(150, 1), on_next(220, 4), on_next(235, 7), on_completed(240)] o1 = scheduler.create_hot_observable(msgs1) o2 = scheduler.create_hot_observable(msgs2) o3 = scheduler.create_hot_observable(msgs3) def create(): return reactivex.merge(o1, o2, o3) results = scheduler.start(create).messages assert len(results) == 9 for i, result in enumerate(results[:-1]): assert ( results[i].value.kind == "N" and results[i].time == 210 + i * 5 and results[i].value.value == i + 2 ) assert results[8].value.kind == "C" and results[8].time == 250 def test_merge_error_left(self): ex = "ex" scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_next(210, 2), on_error(245, ex)] msgs2 = [on_next(150, 1), on_next(215, 3), on_completed(250)] o1 = scheduler.create_hot_observable(msgs1) o2 = scheduler.create_hot_observable(msgs2) def create(): return reactivex.merge(o1, o2) results = scheduler.start(create) assert results.messages == [on_next(210, 2), on_next(215, 3), on_error(245, ex)] def test_merge_error_causes_disposal(self): ex = "ex" scheduler = TestScheduler() msgs1 = [on_next(150, 1), on_error(210, ex)] msgs2 = [on_next(150, 1), on_next(220, 1), on_completed(250)] source_not_disposed = [False] o1 = scheduler.create_hot_observable(msgs1) def action(): source_not_disposed[0] = True o2 = scheduler.create_hot_observable(msgs2).pipe(ops.do_action(on_next=action)) def create(): return reactivex.merge(o1, o2) results = scheduler.start(create) assert results.messages == [on_error(210, ex)] assert not source_not_disposed[0] def test_merge_observable_of_observable_data(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 300, scheduler.create_cold_observable( on_next(10, 101), on_next(20, 102), on_next(110, 103), on_next(120, 104), on_next(210, 105), on_next(220, 106), on_completed(230), ), ), on_next( 400, scheduler.create_cold_observable( on_next(10, 201), on_next(20, 202), on_next(30, 203), on_next(40, 200), on_completed(50), ), ), on_next( 500, scheduler.create_cold_observable( on_next(10, 301), on_next(20, 302), on_next(30, 303), on_next(40, 304), on_next(120, 305), on_completed(150), ), ), on_completed(600), ) def create(): return xs.pipe(ops.merge_all()) results = scheduler.start(create) assert results.messages == [ on_next(310, 101), on_next(320, 102), on_next(410, 103), on_next(410, 201), on_next(420, 104), on_next(420, 202), on_next(430, 203), on_next(440, 200), on_next(510, 105), on_next(510, 301), on_next(520, 106), on_next(520, 302), on_next(530, 303), on_next(540, 304), on_next(620, 305), on_completed(650), ] def test_merge_observable_of_observable_data_non_overlapped(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 300, scheduler.create_cold_observable( on_next(10, 101), on_next(20, 102), on_completed(230) ), ), on_next( 400, scheduler.create_cold_observable( on_next(10, 201), on_next(20, 202), on_next(30, 203), on_next(40, 200), on_completed(50), ), ), on_next( 500, scheduler.create_cold_observable( on_next(10, 301), on_next(20, 302), on_next(30, 303), on_next(40, 304), on_completed(50), ), ), on_completed(600), ) def create(): return xs.pipe(ops.merge_all()) results = scheduler.start(create) assert results.messages == [ on_next(310, 101), on_next(320, 102), on_next(410, 201), on_next(420, 202), on_next(430, 203), on_next(440, 200), on_next(510, 301), on_next(520, 302), on_next(530, 303), on_next(540, 304), on_completed(600), ] def test_merge_observable_of_observable_inner_throws(self): ex = "ex" scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 300, scheduler.create_cold_observable( on_next(10, 101), on_next(20, 102), on_completed(230) ), ), on_next( 400, scheduler.create_cold_observable( on_next(10, 201), on_next(20, 202), on_next(30, 203), on_next(40, 200), on_error(50, ex), ), ), on_next( 500, scheduler.create_cold_observable( on_next(10, 301), on_next(20, 302), on_next(30, 303), on_next(40, 304), on_completed(50), ), ), on_completed(600), ) def create(): return xs.pipe(ops.merge_all()) results = scheduler.start(create) assert results.messages == [ on_next(310, 101), on_next(320, 102), on_next(410, 201), on_next(420, 202), on_next(430, 203), on_next(440, 200), on_error(450, ex), ] def test_merge_observable_of_observable_outer_throws(self): ex = "ex" scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 300, scheduler.create_cold_observable( on_next(10, 101), on_next(20, 102), on_completed(230) ), ), on_next( 400, scheduler.create_cold_observable( on_next(10, 201), on_next(20, 202), on_next(30, 203), on_next(40, 200), on_completed(50), ), ), on_error(500, ex), ) def create(): return xs.pipe(ops.merge_all()) results = scheduler.start(create) assert results.messages == [ on_next(310, 101), on_next(320, 102), on_next(410, 201), on_next(420, 202), on_next(430, 203), on_next(440, 200), on_error(500, ex), ] def test_mergeconcat_basic(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(200) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 320, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(400), ) def create(): return xs.pipe(ops.merge(max_concurrent=2)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 6), on_next(440, 7), on_next(460, 8), on_next(670, 9), on_next(700, 10), on_completed(760), ] assert xs.subscriptions == [subscribe(200, 400)] def test_mergeconcat_basic_long(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(300) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 320, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(400), ) def create(): return xs.pipe(ops.merge(max_concurrent=2)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 6), on_next(440, 7), on_next(460, 8), on_next(690, 9), on_next(720, 10), on_completed(780), ] assert xs.subscriptions == [subscribe(200, 400)] def test_mergeconcat_basic_wide(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(300) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 420, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(450), ) def create(): return xs.pipe(ops.merge(max_concurrent=3)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(280, 6), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 7), on_next(380, 8), on_next(630, 9), on_next(660, 10), on_completed(720), ] assert xs.subscriptions == [subscribe(200, 450)] def test_mergeconcat_basic_late(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(300) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 420, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(750), ) def create(): return xs.pipe(ops.merge(max_concurrent=3)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(280, 6), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 7), on_next(380, 8), on_next(630, 9), on_next(660, 10), on_completed(750), ] assert xs.subscriptions == [subscribe(200, 750)] def test_mergeconcat_disposed(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(200) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 320, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(400), ) def create(): return xs.pipe(ops.merge(max_concurrent=2)) results = scheduler.start(create, disposed=450) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 6), on_next(440, 7), ] assert xs.subscriptions == [subscribe(200, 400)] def test_mergeconcat_outererror(self): ex = "ex" scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(200) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_completed(130) ), ), on_next( 320, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_error(400, ex), ) def create(): return xs.pipe(ops.merge(max_concurrent=2)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 6), on_error(400, ex), ] assert xs.subscriptions == [subscribe(200, 400)] def test_mergeconcat_innererror(self): ex = "ex" scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next( 210, scheduler.create_cold_observable( on_next(50, 1), on_next(100, 2), on_next(120, 3), on_completed(140) ), ), on_next( 260, scheduler.create_cold_observable( on_next(20, 4), on_next(70, 5), on_completed(200) ), ), on_next( 270, scheduler.create_cold_observable( on_next(10, 6), on_next(90, 7), on_next(110, 8), on_error(140, ex) ), ), on_next( 320, scheduler.create_cold_observable( on_next(210, 9), on_next(240, 10), on_completed(300) ), ), on_completed(400), ) def create(): return xs.pipe(ops.merge(max_concurrent=2)) results = scheduler.start(create) assert results.messages == [ on_next(260, 1), on_next(280, 4), on_next(310, 2), on_next(330, 3), on_next(330, 5), on_next(360, 6), on_next(440, 7), on_next(460, 8), on_error(490, ex), ] assert xs.subscriptions == [subscribe(200, 400)] def test_merge_112233(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(250, 1), on_next(300, 2), on_next(350, 3), on_completed(360) ) ys = scheduler.create_hot_observable( on_next(250, 1), on_next(300, 2), on_next(320, 3), on_completed(340) ) def create(): return xs.pipe(ops.merge(ys)) results = scheduler.start(create) assert results.messages == [ on_next(250, 1), on_next(250, 1), on_next(300, 2), on_next(300, 2), on_next(320, 3), on_next(350, 3), on_completed(360), ] assert xs.subscriptions == [subscribe(200, 360)]

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0.15209

0.065496

0.085964

0.908683

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0.87869

0.859167

0.853893

0.806266

0

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89

31.130334

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0

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0

null

0

1

0

1

0

null

0

7

0cc2079f06f690caddc243dc13586990eb90d47f

14,806

py

Python

test/test_docker.py

ai-traders/dojo

ad5a2490ccab466f80a0840d7d98688540817239

[ "Apache-2.0" ]

9

2019-03-13T10:46:06.000Z

2019-07-16T19:28:22.000Z

test/test_docker.py

ai-traders/dojo

ad5a2490ccab466f80a0840d7d98688540817239

[ "Apache-2.0" ]

4

2019-02-05T16:07:42.000Z

2019-05-03T11:06:28.000Z

test/test_docker.py

ai-traders/dojo

ad5a2490ccab466f80a0840d7d98688540817239

[ "Apache-2.0" ]

1

2019-03-05T19:38:43.000Z

from test.support.common import * def clean_up_docker_container(): run_shell('docker ps -a -q --filter "name=testdojorunid" | xargs --no-run-if-empty docker stop') run_shell('docker ps -a -q --filter "name=testdojorunid" | xargs --no-run-if-empty docker rm') def test_docker_container_is_removed(): result = run_command('docker', ['ps', '-a', '--filter', "name=testdojorunid"]) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert not 'testdojorunid' in result.stderr, dojo_combined_output_str assert result.returncode == 0 def test_docker_when_zero_exit(): clean_up_docker_container() result = run_dojo('--debug=true --test=true --image=alpine:3.15 whoami'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'root' in result.stdout, dojo_combined_output_str assert 'alpine:3.15 whoami' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_capture_output(): clean_up_docker_container() # run this one test manually: pytest --capture=fd --verbose test/test_docker.py::test_docker_capture_output # run this without pytest: ./bin/dojo --debug=true --test=true --image=alpine:3.15 sh -c "printenv HOME" result = run_dojo(['--debug=true', '--test=true', '--image=alpine:3.15', 'sh', '-c', "printenv HOME"]) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert '/root\n' == result.stdout, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_capture_output_when_unable_to_pull_image(): clean_up_docker_container() # pytest --capture=fd --verbose test/test_docker.py::test_docker_capture_output_when_unable_to_pull_image # ./bin/dojo --debug=true --test=true --image=alpine:3.15 sh -c "printenv HOME && hostname" result = run_dojo(['--debug=true', '--test=true', '--image=no_such_image91291925129q783187314218194:abc111aaa.9981412', 'sh', '-c', "printenv HOME"]) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str # this is the main reason for this test: assert 'Unable to find image' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 125' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert result.returncode == 125 test_docker_container_is_removed() def test_docker_when_non_existent_command(): clean_up_docker_container() result = run_dojo('--debug=true --test=true --image=alpine:3.15 notexistentcommand'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'executable file not found' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 127' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 127 test_docker_container_is_removed() def test_docker_when_no_command(): clean_up_docker_container() result = run_dojo('--debug=true --test=true --image=alpine:3.15 -i=false'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_when_double_dash_command_split(): clean_up_docker_container() result = run_dojo('--debug=true --test=true --image=alpine:3.15 -- whoami'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'root' in result.stdout, dojo_combined_output_str assert 'alpine:3.15 whoami' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_when_shell_command(): clean_up_docker_container() result = run_dojo(['--debug=true', '--test=true', '--image=alpine:3.15', 'sh', '-c', 'echo hello']) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'hello' in result.stdout, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_preserves_env_vars(): clean_up_docker_container() envs = dict(os.environ) envs['ABC'] = 'custom_value' result = run_dojo( ['--debug=true', '--test=true', '--image=alpine:3.15', 'sh', '-c', 'env | grep ABC'], env=envs) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'custom_value' in result.stdout, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 # Bash experiments: # $ export MULTILINE1="first line\nsecond line" # $ export MULTILINE2="first line # > second line" # $ read -d '' MULTILINE3 <<EOF # > first line # > second line # > EOF # $ export MULTILINE3 # # $ echo $MULTILINE1 # first line\nsecond line # $ echo $MULTILINE2 # first line second line # $ echo $MULTILINE3 # first line second line # $ echo "$MULTILINE1" # first line\nsecond line # $ echo "$MULTILINE2" # first line # second line # $ echo "$MULTILINE3" # first line # second line # # In Dojo, only the MULTILINE2 and MULTILINE3 will be put among multiline variables. # MULTILINE1 will be treated as oneline variable. def test_docker_preserves_multiline_env_vars(): clean_up_docker_container() envs = dict(os.environ) envs['ABC'] = """first line second line""" result = run_dojo( # We need to source the file: /etc/dojo.d/variables/01-bash-functions.sh # explicitly, because the alpine docker image is not a Dojo image, i.e. # it does not have the Dojo entrypoint.sh. ['--debug=true', '--test=true', '--image=alpine:3.15', 'sh', '-c', '"source /etc/dojo.d/variables/00-multiline-vars.sh && env | grep -A 1 ABC"'], env=envs) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert '/etc/dojo.d/variables/00-multiline-vars.sh' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 assert 'Exit status from run command:' in result.stderr, dojo_combined_output_str assert """first line second line""" in result.stdout, dojo_combined_output_str def test_docker_preserves_bash_functions_from_env_vars(): clean_up_docker_container() envs = dict(os.environ) # the following does not influence the dojo process # envs['BASH_FUNC_my_bash_func%%'] = """()) { echo "hello" # }""" proc = run_dojo_and_set_bash_func( # We need to source the file: /etc/dojo.d/variables/01-bash-functions.sh # explicitly, because the alpine docker image is not a Dojo image, i.e. # it does not have the Dojo entrypoint.sh. Even if it had, # we'd still have to source the file explicitly, because # sudo does not preserve bash functions. # Dojo entrypoint sources this file too, but then it runs sudo. # https://unix.stackexchange.com/questions/549140/why-doesnt-sudo-e-preserve-the-function-environment-variables-exported-by-ex # https://unix.stackexchange.com/a/233097 ['--debug=true', '--test=true', '--image=alpine:3.15', 'sh', '-c', '"apk add -U bash && bash -c \'source /etc/dojo.d/variables/01-bash-functions.sh && my_bash_func\'"'], env=envs) stdout_value_bytes, stderr_value_bytes = proc.communicate() stdout = stdout_value_bytes.decode("utf-8") stderr = stderr_value_bytes.decode("utf-8") dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(stdout, stderr) assert 'Dojo version' in stderr, dojo_combined_output_str # print(stdout) # print(stderr) assert 'Written file /tmp/test-dojo-environment-bash-functions-testdojorunid, contents:' in stderr, dojo_combined_output_str assert 'my_bash_func() { echo "hello"' in stderr, dojo_combined_output_str assert '/etc/dojo.d/variables/01-bash-functions.sh' in stderr, dojo_combined_output_str assert_no_warnings_or_errors(stderr, dojo_combined_output_str) assert_no_warnings_or_errors(stdout, dojo_combined_output_str) # the bash function was invoked assert 'hello' in stdout, dojo_combined_output_str assert 'Exit status from run command: 0' in stderr, dojo_combined_output_str def test_docker_when_custom_relative_directory(): clean_up_docker_container() result = run_dojo(['-c', 'test/test-files/Dojofile', '--debug=true', '--test=true', '--image=alpine:3.15', 'whoami']) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'root' in result.stdout, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) assert result.returncode == 0 test_docker_container_is_removed() def test_docker_when_nonexistent_custom_relative_directory(): clean_up_docker_container() try: os.removedirs(os.path.join(project_root, 'test/test-files/not-existent')) except FileNotFoundError: pass result = run_dojo(['-c', 'test/test-files/Dojofile.work_not_exists', '--debug=true', '--test=true', '--image=alpine:3.15', 'whoami']) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert 'Dojo version' in result.stderr, dojo_combined_output_str assert 'root' in result.stdout, dojo_combined_output_str assert "test/test-files/not-existent does not exist" in result.stderr, dojo_combined_output_str assert 'WARN' in result.stderr, dojo_combined_output_str assert 'Exit status from run command: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from cleaning: 0' in result.stderr, dojo_combined_output_str assert 'Exit status from signals: 0' in result.stderr, dojo_combined_output_str assert result.returncode == 0 test_docker_container_is_removed() def test_docker_pull_when_image_can_be_pulled(): result = run_dojo('--debug=true --action=pull --image=alpine:3.15'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert "Dojo version" in result.stderr, dojo_combined_output_str assert "Pulling from library/alpine" in result.stdout, dojo_combined_output_str assert result.returncode == 0 assert_no_warnings_or_errors(result.stderr, dojo_combined_output_str) assert_no_warnings_or_errors(result.stdout, dojo_combined_output_str) def test_docker_pull_when_no_such_image_exists(): result = run_dojo('--debug=true --action=pull --image=no_such_image91291925129q783187314218194:abc111aaa.9981412'.split(' ')) dojo_combined_output_str = "stdout:\n{0}\nstderror:\n{1}".format(result.stdout, result.stderr) assert "" == result.stdout, dojo_combined_output_str assert "Dojo version" in result.stderr, dojo_combined_output_str assert "repository does not exist or may require 'docker login'" in result.stderr, dojo_combined_output_str assert result.returncode == 1

54.634686

177

0.749088

2,150

14,806

4.879535

0.104186

0.115528

0.173291

0.202173

0.856925

0.823849

0.806691

0.787818

0.753026

0.73482

0

0.018794

0.141091

14,806

271

178

54.634686

0.806165

0.128326

0

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0

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false

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0

null

0

1

0

null

0

1

0

8

0cd6679e257b3859ec55fb663a117a00ac93c258

8,972

py

Python

scripts/achived/post_plotting.py

nmningmei/metacognition

734082e247cc7fc9d277563e2676e10692617a3f

[ "MIT" ]

3

2019-07-09T15:37:46.000Z

2019-07-17T16:28:02.000Z

scripts/achived/post_plotting.py

nmningmei/metacognition

734082e247cc7fc9d277563e2676e10692617a3f

[ "MIT" ]

null

scripts/achived/post_plotting.py

nmningmei/metacognition

734082e247cc7fc9d277563e2676e10692617a3f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Jul 23 22:48:24 2018 @author: ning """ import os working_dir = '' import pandas as pd pd.options.mode.chained_assignment = None import seaborn as sns import numpy as np from sklearn.model_selection import StratifiedKFold,permutation_test_score from sklearn.ensemble import RandomForestClassifier from sklearn.multiclass import OneVsOneClassifier,OneVsRestClassifier sns.set_style('whitegrid') sns.set_context('poster') from utils import post_processing saving_dir = '../figures/' ############################################################################## ############################## plotting part ################################# ############################################################################## ############################## using all 6 features ########################## if __name__ == '__main__': pos = pd.read_csv('../results/Pos.csv') att = pd.read_csv('../results/ATT.csv') # don't work on the loaded data frame, make a copy of it df = pos.copy() g = sns.factorplot(x = 'window', y = 'score', hue = 'model', data = df, hue_order = ['DecisionTreeClassifier','LogisticRegression'], aspect = 3, dodge = 0.1) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'score', # hue = 'model', # data = df, # aspect = 3, # kind = 'point', # hue_order = ['DecisionTreeClassifier','LogisticRegression'], # ci = 95) (g.set_axis_labels('Trials look back', 'Clasifi.Score (AUC ROC)') .fig.suptitle('Model Comparison of Decoding Probability of Success')) g.fig.savefig(os.path.join(saving_dir, 'Model Comparison of Decoding Probability of Success.png'), dpi = 500, bbox_inches = 'tight') df_post = post_processing(df) g = sns.factorplot( x = 'Window', y = 'Values', hue = 'Attributes', row = 'Models', row_order=['DecisionTreeClassifier','LogisticRegression'], data = df_post, aspect = 3, sharey = False, dodge = 0.1) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'value', # hue = 'Attributions', # row = 'model', # data = df, # aspect = 3, # sharey = False, # kind = 'point', # ci = 95) (g.set_axis_labels('Trials look back', '') .set_titles('{row_name}') .fig.suptitle('Probability of Success', y = 1.0)) g.fig.axes[0].set(ylabel='Feature Importance') g.fig.axes[1].set(ylabel='Coefficients') g.savefig(os.path.join(saving_dir,'Weights plot of Probability of Success.png'), dpi = 500, bbox_inches = 'tight',) df = att.copy() g = sns.factorplot( x = 'window', y = 'score', hue = 'model', data = df, hue_order = ['DecisionTreeClassifier','LogisticRegression'], aspect = 3, dodge = 0.1) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'score', # hue = 'model', # data = df, # aspect = 3, # kind = 'point', # hue_order = ['DecisionTreeClassifier','LogisticRegression'], # ci = 95) (g.set_axis_labels('Trials look back', 'Clasifi.Score (AUC ROC)') .fig.suptitle('Model Comparison of Decoding Attention')) g.savefig(os.path.join(saving_dir,'Model Comparison of Decoding Attention.png'), dpi = 500, bbox_inches = 'tight') df_post = post_processing(df) g = sns.factorplot( x = 'Window', y = 'Values', hue = 'Attributes', row = 'Models', row_order=['DecisionTreeClassifier','LogisticRegression'], data = df_post, aspect = 3, sharey = False, dodge = 0.1) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'value', # hue = 'Attributions', # row = 'model', # data = df, # aspect = 3, # sharey = False, # kind = 'point', # ci = 95) (g.set_axis_labels('Trials look back', '') .set_titles('{row_name}') .fig.suptitle('Attention', y = 1.0)) g.fig.axes[0].set(ylabel='Feature Importance') g.fig.axes[1].set(ylabel='Coefficients') g.savefig(os.path.join(saving_dir,'Weights plot of Attention.png'), dpi = 500, bbox_inches = 'tight',) ############################################################################### ###################### plot the normalized weights ############################ ############################################################################### pos_ttest = pd.read_csv('../results/Pos_ttest.csv') att_ttest = pd.read_csv('../results/ATT_ttest.csv') df = pos_ttest.copy() g = sns.factorplot(x = 'window', y = 'ps_mean', hue = 'model', ci = None, kind = 'bar', data = df, hue_order = ['DecisionTreeClassifier','LogisticRegression'], aspect = 2.5) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'ps_mean', # hue = 'model', # ci = None, # kind = 'bar', # data = df, # aspect = 2.5, # ) g.set_axis_labels('Trials look back', 'Mean of P values (corrected)') g.fig.axes[0].axhline(0.05, color = 'red', linestyle = '--', alpha = 0.6) g.fig.suptitle('Probability of Success\nBonferroni corrected P values',y=1.07) g.savefig(os.path.join(saving_dir,'Significance test of Proabability of Success.png'), dpi = 500, bbox_inches = 'tight') df = att_ttest.copy() g = sns.factorplot(x = 'window', y = 'ps_mean', hue ='model', ci = None, kind = 'bar', data = df, hue_order = ['DecisionTreeClassifier','LogisticRegression'], aspect = 2.5) # for seaborn 0.9.0 #g = sns.catplot( x = 'window', # y = 'ps_mean', # hue = 'model', # ci = None, # kind = 'bar', # data =df, # aspect = 2.5, # ) g.set_axis_labels('Trials look back', 'Mean of P values (corrected)') g.fig.axes[0].axhline(0.05, color = 'red', linestyle = '--', alpha = 0.6) g.fig.suptitle('Attention\nBonferroni corrected P values', y = 1.05) g.savefig(os.path.join(saving_dir,'Significance test of Attention.png'), dpi = 500, bbox_inches = 'tight')

40.414414

90

0.372938

731

8,972

4.477428

0.218878

0.014665

0.029331

0.027498

0.81821

0.776963

0.759242

0.750076

0.729911

0

0.022852

0.47325

8,972

221

91

40.597285

0.6697

0.244204

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0.203594

0.032248

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1

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false

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0

null

0

1

0

1

0

null

0

7

0b8db954c70b52760627e847eac6c2834e104e9e

879

py

Python

unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

from script.sklearn_like_toolkit.ClassifierPack import ClassifierPack from script.sklearn_like_toolkit.param_search.ParamOpt import ParamOpt def test_ParamOpt(): clf_pack = ClassifierPack(['skDecisionTreeClf']) dtree = clf_pack['skDecisionTreeClf'] from sklearn.datasets import load_iris data = load_iris() y = data.target x = data.data opt = ParamOpt(cv=10, n_iter=10, n_jobs=1) dtree = opt.fit(dtree, x, y) train_score = dtree.score(x, y) print(train_score) clf_pack = ClassifierPack(['skDecisionTreeClf']) dtree = clf_pack['skDecisionTreeClf'] from sklearn.datasets import load_iris data = load_iris() y = data.target x = data.data opt = ParamOpt(cv=10, n_iter=10, n_jobs=2) dtree = opt.fit(dtree, x, y) train_score = dtree.score(x, y) print(train_score)

26.636364

71

0.671217

117

879

4.854701

0.299145

0.049296

0.059859

0.073944

0.852113

0.753521

0

0.014706

0.226394

879

32

72

27.46875

0.820588

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0.043478

false

0

0.173913

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0.217391

0.086957

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null

0

1

0

1

0

null

0

7

0b9ab4f2b169b1bcf3ff597e2b67e4659d98c4a4

2,297

py

Python

tests/terraform/checks/provider/aws/test_credentials.py

jamesholland-uk/checkov

d73fd4bd7096d48ab3434a92a177bcc55605460a

[ "Apache-2.0" ]

1

2022-02-20T21:20:39.000Z

tests/terraform/checks/provider/aws/test_credentials.py

jamesholland-uk/checkov

d73fd4bd7096d48ab3434a92a177bcc55605460a

[ "Apache-2.0" ]

3

2022-03-07T20:37:31.000Z

2022-03-21T20:20:14.000Z

tests/terraform/checks/provider/aws/test_credentials.py

jamesholland-uk/checkov

d73fd4bd7096d48ab3434a92a177bcc55605460a

[ "Apache-2.0" ]

null

import unittest import hcl2 from checkov.terraform.checks.provider.aws.credentials import check from checkov.common.models.enums import CheckResult class TestCredentials(unittest.TestCase): def test_success_empty(self): hcl_res = hcl2.loads( """ provider "aws" {} """ ) provider_conf = hcl_res["provider"][0]["aws"] scan_result = check.scan_provider_conf(conf=provider_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_success_region(self): hcl_res = hcl2.loads( """ provider "aws" { region = "us-west-2" } """ ) provider_conf = hcl_res["provider"][0]["aws"] scan_result = check.scan_provider_conf(conf=provider_conf) self.assertEqual(CheckResult.PASSED, scan_result) def test_failure_both_keys(self): hcl_res = hcl2.loads( """ provider "aws" { region = "us-west-2" access_key = "AKIAIOSFODNN7EXAMPLE" secret_key = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY" } """ ) provider_conf = hcl_res["provider"][0]["aws"] scan_result = check.scan_provider_conf(conf=provider_conf) self.assertEqual(CheckResult.FAILED, scan_result) def test_failure_access_key(self): hcl_res = hcl2.loads( """ provider "aws" { region = "us-west-2" access_key = "AKIAIOSFODNN7EXAMPLE" } """ ) provider_conf = hcl_res["provider"][0]["aws"] scan_result = check.scan_provider_conf(conf=provider_conf) self.assertEqual(CheckResult.FAILED, scan_result) def test_failure_secret_key(self): hcl_res = hcl2.loads( """ provider "aws" { region = "us-west-2" secret_key = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY" } """ ) provider_conf = hcl_res["provider"][0]["aws"] scan_result = check.scan_provider_conf(conf=provider_conf) self.assertEqual(CheckResult.FAILED, scan_result) if __name__ == "__main__": unittest.main()

30.626667

71

0.569003

229

2,297

5.423581

0.218341

0.144928

0.040258

0.056361

0.808374

0.802738

0.778583

0

0.012234

0.323901

2,297

74

72

31.040541

0.787508

0

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0

0.039573

0

0.135135

1

0.135135

false

0.054054

0.108108

0

0.27027

0

null

0

1

0

null

0

1

0

7

e7fc9b20884411350ccdb2d7459239dd9946a222

2,282

py

Python

tests/test_scoring.py

Menelau/pymfe

4e43c9210a19e3123d9d24a22efa4e65099ed129

[ "MIT" ]

1

2021-11-26T08:17:00.000Z

tests/test_scoring.py

Menelau/pymfe

4e43c9210a19e3123d9d24a22efa4e65099ed129

[ "MIT" ]

null

tests/test_scoring.py

Menelau/pymfe

4e43c9210a19e3123d9d24a22efa4e65099ed129

[ "MIT" ]

null

"""Test module for General class metafeatures.""" import pytest import numpy as np from pymfe.scoring import accuracy from pymfe.scoring import balanced_accuracy from pymfe.scoring import f1 def test_accuracy(): y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) assert accuracy(y_true, y_pred) == 1.0 y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) assert accuracy(y_true, y_pred) == 0.0 y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) assert accuracy(y_true, y_pred) == 0.5 y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 0, 0, 1, 1, 0, 0, 0]) assert accuracy(y_true, y_pred) == 0.6 def test_balanced_accuracy(): y_true = np.array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) assert np.isclose(balanced_accuracy(y_true, y_pred), 1.0) y_true = np.array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) assert np.isclose(balanced_accuracy(y_true, y_pred), 0.0) y_true = np.array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) assert np.isclose(balanced_accuracy(y_true, y_pred), 1/3) def test_f1(): y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) assert np.isclose(f1(y_true, y_pred), 1.0) y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1]) assert np.isclose(f1(y_true, y_pred), 0.0) y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) assert np.isclose(f1(y_true, y_pred), 1/3) y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 0, 0, 1, 1, 0, 0, 0]) assert np.isclose(f1(y_true, y_pred), 0.6) y_true = np.array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) y_pred = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) assert np.isclose(f1(y_true, y_pred), 1/6)

36.806452

68

0.528046

529

2,282

2.172023

0.056711

0.21584

0.255875

0.257615

0.887728

0.821584

0.818103

0.817232

0.800696

0

0.181659

0.249781

2,282

61

69

37.409836

0.489486

0.018843

0

0.5

0

0.272727

1

0.068182

false

0

0.113636

0

0.181818

0

null

1

0

1

0

null

0

10

f0182d93e564b82ed836b9ec1acb22b5c294c5f9

1,545

py

Python

problem-008/main.py

stevancorre/project-euler

abf99969f0235e7740840bcbf4b23a3f8470fa2b

[ "MIT" ]

null

problem-008/main.py

stevancorre/project-euler

abf99969f0235e7740840bcbf4b23a3f8470fa2b

[ "MIT" ]

null

problem-008/main.py

stevancorre/project-euler

abf99969f0235e7740840bcbf4b23a3f8470fa2b

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Author: Stévan Corre <stevancorre@protonmail.com> # Date: 04/12/2021 import math def product_of(ns): product = 1 for n in ns: product *= n return product def solve(): result = 0 source = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450" for i in range(0, len(source) - 13): digits = list(map(int, source[i:i + 13])) product = product_of(digits) if product > result: result = product return result if __name__ == "__main__": print("ANSWER: %d" % solve())

45.441176

1,015

0.846602

73

1,545

17.780822

0.643836

0.013867

0

0.734635

0.104854

1,545

33

1,016

46.818182

0.203905

0.071845

0

0.711888

0.699301

0

1

0

1

0.117647

false

0

0.058824

0

0.294118

0.058824

0

1

null

0

1

0

1

0

1

0

1

null

1

0

7

f06fb72a5a2252ee8edb3ffb1bde0cd70b8a2ba4

81,820

py

Python

sdk/python/pulumi_newrelic/nrql_alert_condition.py

bob-bins/pulumi-newrelic

f8a121fb7d6e6ad979d3ccf72467b9e89769e305

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_newrelic/nrql_alert_condition.py

bob-bins/pulumi-newrelic

f8a121fb7d6e6ad979d3ccf72467b9e89769e305

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_newrelic/nrql_alert_condition.py

bob-bins/pulumi-newrelic

f8a121fb7d6e6ad979d3ccf72467b9e89769e305

[ "ECL-2.0", "Apache-2.0" ]

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__ = ['NrqlAlertConditionArgs', 'NrqlAlertCondition'] @pulumi.input_type class NrqlAlertConditionArgs: def __init__(__self__, *, nrql: pulumi.Input['NrqlAlertConditionNrqlArgs'], policy_id: pulumi.Input[int], account_id: Optional[pulumi.Input[int]] = None, aggregation_window: Optional[pulumi.Input[int]] = None, baseline_direction: Optional[pulumi.Input[str]] = None, close_violations_on_expiration: Optional[pulumi.Input[bool]] = None, critical: Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']] = None, description: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expected_groups: Optional[pulumi.Input[int]] = None, expiration_duration: Optional[pulumi.Input[int]] = None, fill_option: Optional[pulumi.Input[str]] = None, fill_value: Optional[pulumi.Input[float]] = None, ignore_overlap: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, open_violation_on_expiration: Optional[pulumi.Input[bool]] = None, open_violation_on_group_overlap: Optional[pulumi.Input[bool]] = None, runbook_url: Optional[pulumi.Input[str]] = None, terms: Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]] = None, type: Optional[pulumi.Input[str]] = None, value_function: Optional[pulumi.Input[str]] = None, violation_time_limit: Optional[pulumi.Input[str]] = None, violation_time_limit_seconds: Optional[pulumi.Input[int]] = None, warning: Optional[pulumi.Input['NrqlAlertConditionWarningArgs']] = None): """ The set of arguments for constructing a NrqlAlertCondition resource. :param pulumi.Input['NrqlAlertConditionNrqlArgs'] nrql: A NRQL query. See NRQL below for details. :param pulumi.Input[int] policy_id: The ID of the policy where this condition should be used. :param pulumi.Input[int] account_id: The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. :param pulumi.Input[int] aggregation_window: The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. :param pulumi.Input[str] baseline_direction: The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). :param pulumi.Input[bool] close_violations_on_expiration: Whether to close all open violations when the signal expires. :param pulumi.Input['NrqlAlertConditionCriticalArgs'] critical: A list containing the `critical` threshold values. See Terms below for details. :param pulumi.Input[str] description: The description of the NRQL alert condition. :param pulumi.Input[bool] enabled: Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. :param pulumi.Input[int] expected_groups: Number of expected groups when using `outlier` detection. :param pulumi.Input[int] expiration_duration: The amount of time (in seconds) to wait before considering the signal expired. :param pulumi.Input[str] fill_option: Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. :param pulumi.Input[float] fill_value: This value will be used for filling gaps in the signal. :param pulumi.Input[bool] ignore_overlap: **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. :param pulumi.Input[str] name: The title of the condition. :param pulumi.Input[bool] open_violation_on_expiration: Whether to create a new violation to capture that the signal expired. :param pulumi.Input[bool] open_violation_on_group_overlap: Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. :param pulumi.Input[str] runbook_url: Runbook URL to display in notifications. :param pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]] terms: **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. :param pulumi.Input[str] type: The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. :param pulumi.Input[str] value_function: Possible values are `single_value`, `sum` (case insensitive). :param pulumi.Input[str] violation_time_limit: **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[int] violation_time_limit_seconds: Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input['NrqlAlertConditionWarningArgs'] warning: A list containing the `warning` threshold values. See Terms below for details. """ pulumi.set(__self__, "nrql", nrql) pulumi.set(__self__, "policy_id", policy_id) if account_id is not None: pulumi.set(__self__, "account_id", account_id) if aggregation_window is not None: pulumi.set(__self__, "aggregation_window", aggregation_window) if baseline_direction is not None: pulumi.set(__self__, "baseline_direction", baseline_direction) if close_violations_on_expiration is not None: pulumi.set(__self__, "close_violations_on_expiration", close_violations_on_expiration) if critical is not None: pulumi.set(__self__, "critical", critical) if description is not None: pulumi.set(__self__, "description", description) if enabled is not None: pulumi.set(__self__, "enabled", enabled) if expected_groups is not None: pulumi.set(__self__, "expected_groups", expected_groups) if expiration_duration is not None: pulumi.set(__self__, "expiration_duration", expiration_duration) if fill_option is not None: pulumi.set(__self__, "fill_option", fill_option) if fill_value is not None: pulumi.set(__self__, "fill_value", fill_value) if ignore_overlap is not None: warnings.warn("""use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""", DeprecationWarning) pulumi.log.warn("""ignore_overlap is deprecated: use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""") if ignore_overlap is not None: pulumi.set(__self__, "ignore_overlap", ignore_overlap) if name is not None: pulumi.set(__self__, "name", name) if open_violation_on_expiration is not None: pulumi.set(__self__, "open_violation_on_expiration", open_violation_on_expiration) if open_violation_on_group_overlap is not None: pulumi.set(__self__, "open_violation_on_group_overlap", open_violation_on_group_overlap) if runbook_url is not None: pulumi.set(__self__, "runbook_url", runbook_url) if terms is not None: warnings.warn("""use `critical` and `warning` attributes instead""", DeprecationWarning) pulumi.log.warn("""terms is deprecated: use `critical` and `warning` attributes instead""") if terms is not None: pulumi.set(__self__, "terms", terms) if type is not None: pulumi.set(__self__, "type", type) if value_function is not None: pulumi.set(__self__, "value_function", value_function) if violation_time_limit is not None: warnings.warn("""use `violation_time_limit_seconds` attribute instead""", DeprecationWarning) pulumi.log.warn("""violation_time_limit is deprecated: use `violation_time_limit_seconds` attribute instead""") if violation_time_limit is not None: pulumi.set(__self__, "violation_time_limit", violation_time_limit) if violation_time_limit_seconds is not None: pulumi.set(__self__, "violation_time_limit_seconds", violation_time_limit_seconds) if warning is not None: pulumi.set(__self__, "warning", warning) @property @pulumi.getter def nrql(self) -> pulumi.Input['NrqlAlertConditionNrqlArgs']: """ A NRQL query. See NRQL below for details. """ return pulumi.get(self, "nrql") @nrql.setter def nrql(self, value: pulumi.Input['NrqlAlertConditionNrqlArgs']): pulumi.set(self, "nrql", value) @property @pulumi.getter(name="policyId") def policy_id(self) -> pulumi.Input[int]: """ The ID of the policy where this condition should be used. """ return pulumi.get(self, "policy_id") @policy_id.setter def policy_id(self, value: pulumi.Input[int]): pulumi.set(self, "policy_id", value) @property @pulumi.getter(name="accountId") def account_id(self) -> Optional[pulumi.Input[int]]: """ The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. """ return pulumi.get(self, "account_id") @account_id.setter def account_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "account_id", value) @property @pulumi.getter(name="aggregationWindow") def aggregation_window(self) -> Optional[pulumi.Input[int]]: """ The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. """ return pulumi.get(self, "aggregation_window") @aggregation_window.setter def aggregation_window(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "aggregation_window", value) @property @pulumi.getter(name="baselineDirection") def baseline_direction(self) -> Optional[pulumi.Input[str]]: """ The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). """ return pulumi.get(self, "baseline_direction") @baseline_direction.setter def baseline_direction(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "baseline_direction", value) @property @pulumi.getter(name="closeViolationsOnExpiration") def close_violations_on_expiration(self) -> Optional[pulumi.Input[bool]]: """ Whether to close all open violations when the signal expires. """ return pulumi.get(self, "close_violations_on_expiration") @close_violations_on_expiration.setter def close_violations_on_expiration(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "close_violations_on_expiration", value) @property @pulumi.getter def critical(self) -> Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']]: """ A list containing the `critical` threshold values. See Terms below for details. """ return pulumi.get(self, "critical") @critical.setter def critical(self, value: Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']]): pulumi.set(self, "critical", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of the NRQL alert condition. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="expectedGroups") def expected_groups(self) -> Optional[pulumi.Input[int]]: """ Number of expected groups when using `outlier` detection. """ return pulumi.get(self, "expected_groups") @expected_groups.setter def expected_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "expected_groups", value) @property @pulumi.getter(name="expirationDuration") def expiration_duration(self) -> Optional[pulumi.Input[int]]: """ The amount of time (in seconds) to wait before considering the signal expired. """ return pulumi.get(self, "expiration_duration") @expiration_duration.setter def expiration_duration(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "expiration_duration", value) @property @pulumi.getter(name="fillOption") def fill_option(self) -> Optional[pulumi.Input[str]]: """ Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_option") @fill_option.setter def fill_option(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "fill_option", value) @property @pulumi.getter(name="fillValue") def fill_value(self) -> Optional[pulumi.Input[float]]: """ This value will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_value") @fill_value.setter def fill_value(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "fill_value", value) @property @pulumi.getter(name="ignoreOverlap") def ignore_overlap(self) -> Optional[pulumi.Input[bool]]: """ **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "ignore_overlap") @ignore_overlap.setter def ignore_overlap(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ignore_overlap", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The title of the condition. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="openViolationOnExpiration") def open_violation_on_expiration(self) -> Optional[pulumi.Input[bool]]: """ Whether to create a new violation to capture that the signal expired. """ return pulumi.get(self, "open_violation_on_expiration") @open_violation_on_expiration.setter def open_violation_on_expiration(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "open_violation_on_expiration", value) @property @pulumi.getter(name="openViolationOnGroupOverlap") def open_violation_on_group_overlap(self) -> Optional[pulumi.Input[bool]]: """ Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "open_violation_on_group_overlap") @open_violation_on_group_overlap.setter def open_violation_on_group_overlap(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "open_violation_on_group_overlap", value) @property @pulumi.getter(name="runbookUrl") def runbook_url(self) -> Optional[pulumi.Input[str]]: """ Runbook URL to display in notifications. """ return pulumi.get(self, "runbook_url") @runbook_url.setter def runbook_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runbook_url", value) @property @pulumi.getter def terms(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]]: """ **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. """ return pulumi.get(self, "terms") @terms.setter def terms(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]]): pulumi.set(self, "terms", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @property @pulumi.getter(name="valueFunction") def value_function(self) -> Optional[pulumi.Input[str]]: """ Possible values are `single_value`, `sum` (case insensitive). """ return pulumi.get(self, "value_function") @value_function.setter def value_function(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value_function", value) @property @pulumi.getter(name="violationTimeLimit") def violation_time_limit(self) -> Optional[pulumi.Input[str]]: """ **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit") @violation_time_limit.setter def violation_time_limit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "violation_time_limit", value) @property @pulumi.getter(name="violationTimeLimitSeconds") def violation_time_limit_seconds(self) -> Optional[pulumi.Input[int]]: """ Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit_seconds") @violation_time_limit_seconds.setter def violation_time_limit_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "violation_time_limit_seconds", value) @property @pulumi.getter def warning(self) -> Optional[pulumi.Input['NrqlAlertConditionWarningArgs']]: """ A list containing the `warning` threshold values. See Terms below for details. """ return pulumi.get(self, "warning") @warning.setter def warning(self, value: Optional[pulumi.Input['NrqlAlertConditionWarningArgs']]): pulumi.set(self, "warning", value) @pulumi.input_type class _NrqlAlertConditionState: def __init__(__self__, *, account_id: Optional[pulumi.Input[int]] = None, aggregation_window: Optional[pulumi.Input[int]] = None, baseline_direction: Optional[pulumi.Input[str]] = None, close_violations_on_expiration: Optional[pulumi.Input[bool]] = None, critical: Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']] = None, description: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expected_groups: Optional[pulumi.Input[int]] = None, expiration_duration: Optional[pulumi.Input[int]] = None, fill_option: Optional[pulumi.Input[str]] = None, fill_value: Optional[pulumi.Input[float]] = None, ignore_overlap: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, nrql: Optional[pulumi.Input['NrqlAlertConditionNrqlArgs']] = None, open_violation_on_expiration: Optional[pulumi.Input[bool]] = None, open_violation_on_group_overlap: Optional[pulumi.Input[bool]] = None, policy_id: Optional[pulumi.Input[int]] = None, runbook_url: Optional[pulumi.Input[str]] = None, terms: Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]] = None, type: Optional[pulumi.Input[str]] = None, value_function: Optional[pulumi.Input[str]] = None, violation_time_limit: Optional[pulumi.Input[str]] = None, violation_time_limit_seconds: Optional[pulumi.Input[int]] = None, warning: Optional[pulumi.Input['NrqlAlertConditionWarningArgs']] = None): """ Input properties used for looking up and filtering NrqlAlertCondition resources. :param pulumi.Input[int] account_id: The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. :param pulumi.Input[int] aggregation_window: The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. :param pulumi.Input[str] baseline_direction: The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). :param pulumi.Input[bool] close_violations_on_expiration: Whether to close all open violations when the signal expires. :param pulumi.Input['NrqlAlertConditionCriticalArgs'] critical: A list containing the `critical` threshold values. See Terms below for details. :param pulumi.Input[str] description: The description of the NRQL alert condition. :param pulumi.Input[bool] enabled: Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. :param pulumi.Input[int] expected_groups: Number of expected groups when using `outlier` detection. :param pulumi.Input[int] expiration_duration: The amount of time (in seconds) to wait before considering the signal expired. :param pulumi.Input[str] fill_option: Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. :param pulumi.Input[float] fill_value: This value will be used for filling gaps in the signal. :param pulumi.Input[bool] ignore_overlap: **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. :param pulumi.Input[str] name: The title of the condition. :param pulumi.Input['NrqlAlertConditionNrqlArgs'] nrql: A NRQL query. See NRQL below for details. :param pulumi.Input[bool] open_violation_on_expiration: Whether to create a new violation to capture that the signal expired. :param pulumi.Input[bool] open_violation_on_group_overlap: Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. :param pulumi.Input[int] policy_id: The ID of the policy where this condition should be used. :param pulumi.Input[str] runbook_url: Runbook URL to display in notifications. :param pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]] terms: **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. :param pulumi.Input[str] type: The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. :param pulumi.Input[str] value_function: Possible values are `single_value`, `sum` (case insensitive). :param pulumi.Input[str] violation_time_limit: **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[int] violation_time_limit_seconds: Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input['NrqlAlertConditionWarningArgs'] warning: A list containing the `warning` threshold values. See Terms below for details. """ if account_id is not None: pulumi.set(__self__, "account_id", account_id) if aggregation_window is not None: pulumi.set(__self__, "aggregation_window", aggregation_window) if baseline_direction is not None: pulumi.set(__self__, "baseline_direction", baseline_direction) if close_violations_on_expiration is not None: pulumi.set(__self__, "close_violations_on_expiration", close_violations_on_expiration) if critical is not None: pulumi.set(__self__, "critical", critical) if description is not None: pulumi.set(__self__, "description", description) if enabled is not None: pulumi.set(__self__, "enabled", enabled) if expected_groups is not None: pulumi.set(__self__, "expected_groups", expected_groups) if expiration_duration is not None: pulumi.set(__self__, "expiration_duration", expiration_duration) if fill_option is not None: pulumi.set(__self__, "fill_option", fill_option) if fill_value is not None: pulumi.set(__self__, "fill_value", fill_value) if ignore_overlap is not None: warnings.warn("""use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""", DeprecationWarning) pulumi.log.warn("""ignore_overlap is deprecated: use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""") if ignore_overlap is not None: pulumi.set(__self__, "ignore_overlap", ignore_overlap) if name is not None: pulumi.set(__self__, "name", name) if nrql is not None: pulumi.set(__self__, "nrql", nrql) if open_violation_on_expiration is not None: pulumi.set(__self__, "open_violation_on_expiration", open_violation_on_expiration) if open_violation_on_group_overlap is not None: pulumi.set(__self__, "open_violation_on_group_overlap", open_violation_on_group_overlap) if policy_id is not None: pulumi.set(__self__, "policy_id", policy_id) if runbook_url is not None: pulumi.set(__self__, "runbook_url", runbook_url) if terms is not None: warnings.warn("""use `critical` and `warning` attributes instead""", DeprecationWarning) pulumi.log.warn("""terms is deprecated: use `critical` and `warning` attributes instead""") if terms is not None: pulumi.set(__self__, "terms", terms) if type is not None: pulumi.set(__self__, "type", type) if value_function is not None: pulumi.set(__self__, "value_function", value_function) if violation_time_limit is not None: warnings.warn("""use `violation_time_limit_seconds` attribute instead""", DeprecationWarning) pulumi.log.warn("""violation_time_limit is deprecated: use `violation_time_limit_seconds` attribute instead""") if violation_time_limit is not None: pulumi.set(__self__, "violation_time_limit", violation_time_limit) if violation_time_limit_seconds is not None: pulumi.set(__self__, "violation_time_limit_seconds", violation_time_limit_seconds) if warning is not None: pulumi.set(__self__, "warning", warning) @property @pulumi.getter(name="accountId") def account_id(self) -> Optional[pulumi.Input[int]]: """ The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. """ return pulumi.get(self, "account_id") @account_id.setter def account_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "account_id", value) @property @pulumi.getter(name="aggregationWindow") def aggregation_window(self) -> Optional[pulumi.Input[int]]: """ The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. """ return pulumi.get(self, "aggregation_window") @aggregation_window.setter def aggregation_window(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "aggregation_window", value) @property @pulumi.getter(name="baselineDirection") def baseline_direction(self) -> Optional[pulumi.Input[str]]: """ The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). """ return pulumi.get(self, "baseline_direction") @baseline_direction.setter def baseline_direction(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "baseline_direction", value) @property @pulumi.getter(name="closeViolationsOnExpiration") def close_violations_on_expiration(self) -> Optional[pulumi.Input[bool]]: """ Whether to close all open violations when the signal expires. """ return pulumi.get(self, "close_violations_on_expiration") @close_violations_on_expiration.setter def close_violations_on_expiration(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "close_violations_on_expiration", value) @property @pulumi.getter def critical(self) -> Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']]: """ A list containing the `critical` threshold values. See Terms below for details. """ return pulumi.get(self, "critical") @critical.setter def critical(self, value: Optional[pulumi.Input['NrqlAlertConditionCriticalArgs']]): pulumi.set(self, "critical", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of the NRQL alert condition. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="expectedGroups") def expected_groups(self) -> Optional[pulumi.Input[int]]: """ Number of expected groups when using `outlier` detection. """ return pulumi.get(self, "expected_groups") @expected_groups.setter def expected_groups(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "expected_groups", value) @property @pulumi.getter(name="expirationDuration") def expiration_duration(self) -> Optional[pulumi.Input[int]]: """ The amount of time (in seconds) to wait before considering the signal expired. """ return pulumi.get(self, "expiration_duration") @expiration_duration.setter def expiration_duration(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "expiration_duration", value) @property @pulumi.getter(name="fillOption") def fill_option(self) -> Optional[pulumi.Input[str]]: """ Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_option") @fill_option.setter def fill_option(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "fill_option", value) @property @pulumi.getter(name="fillValue") def fill_value(self) -> Optional[pulumi.Input[float]]: """ This value will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_value") @fill_value.setter def fill_value(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "fill_value", value) @property @pulumi.getter(name="ignoreOverlap") def ignore_overlap(self) -> Optional[pulumi.Input[bool]]: """ **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "ignore_overlap") @ignore_overlap.setter def ignore_overlap(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "ignore_overlap", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The title of the condition. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def nrql(self) -> Optional[pulumi.Input['NrqlAlertConditionNrqlArgs']]: """ A NRQL query. See NRQL below for details. """ return pulumi.get(self, "nrql") @nrql.setter def nrql(self, value: Optional[pulumi.Input['NrqlAlertConditionNrqlArgs']]): pulumi.set(self, "nrql", value) @property @pulumi.getter(name="openViolationOnExpiration") def open_violation_on_expiration(self) -> Optional[pulumi.Input[bool]]: """ Whether to create a new violation to capture that the signal expired. """ return pulumi.get(self, "open_violation_on_expiration") @open_violation_on_expiration.setter def open_violation_on_expiration(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "open_violation_on_expiration", value) @property @pulumi.getter(name="openViolationOnGroupOverlap") def open_violation_on_group_overlap(self) -> Optional[pulumi.Input[bool]]: """ Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "open_violation_on_group_overlap") @open_violation_on_group_overlap.setter def open_violation_on_group_overlap(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "open_violation_on_group_overlap", value) @property @pulumi.getter(name="policyId") def policy_id(self) -> Optional[pulumi.Input[int]]: """ The ID of the policy where this condition should be used. """ return pulumi.get(self, "policy_id") @policy_id.setter def policy_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "policy_id", value) @property @pulumi.getter(name="runbookUrl") def runbook_url(self) -> Optional[pulumi.Input[str]]: """ Runbook URL to display in notifications. """ return pulumi.get(self, "runbook_url") @runbook_url.setter def runbook_url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runbook_url", value) @property @pulumi.getter def terms(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]]: """ **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. """ return pulumi.get(self, "terms") @terms.setter def terms(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['NrqlAlertConditionTermArgs']]]]): pulumi.set(self, "terms", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @property @pulumi.getter(name="valueFunction") def value_function(self) -> Optional[pulumi.Input[str]]: """ Possible values are `single_value`, `sum` (case insensitive). """ return pulumi.get(self, "value_function") @value_function.setter def value_function(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value_function", value) @property @pulumi.getter(name="violationTimeLimit") def violation_time_limit(self) -> Optional[pulumi.Input[str]]: """ **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit") @violation_time_limit.setter def violation_time_limit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "violation_time_limit", value) @property @pulumi.getter(name="violationTimeLimitSeconds") def violation_time_limit_seconds(self) -> Optional[pulumi.Input[int]]: """ Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit_seconds") @violation_time_limit_seconds.setter def violation_time_limit_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "violation_time_limit_seconds", value) @property @pulumi.getter def warning(self) -> Optional[pulumi.Input['NrqlAlertConditionWarningArgs']]: """ A list containing the `warning` threshold values. See Terms below for details. """ return pulumi.get(self, "warning") @warning.setter def warning(self, value: Optional[pulumi.Input['NrqlAlertConditionWarningArgs']]): pulumi.set(self, "warning", value) class NrqlAlertCondition(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, account_id: Optional[pulumi.Input[int]] = None, aggregation_window: Optional[pulumi.Input[int]] = None, baseline_direction: Optional[pulumi.Input[str]] = None, close_violations_on_expiration: Optional[pulumi.Input[bool]] = None, critical: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionCriticalArgs']]] = None, description: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expected_groups: Optional[pulumi.Input[int]] = None, expiration_duration: Optional[pulumi.Input[int]] = None, fill_option: Optional[pulumi.Input[str]] = None, fill_value: Optional[pulumi.Input[float]] = None, ignore_overlap: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, nrql: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionNrqlArgs']]] = None, open_violation_on_expiration: Optional[pulumi.Input[bool]] = None, open_violation_on_group_overlap: Optional[pulumi.Input[bool]] = None, policy_id: Optional[pulumi.Input[int]] = None, runbook_url: Optional[pulumi.Input[str]] = None, terms: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NrqlAlertConditionTermArgs']]]]] = None, type: Optional[pulumi.Input[str]] = None, value_function: Optional[pulumi.Input[str]] = None, violation_time_limit: Optional[pulumi.Input[str]] = None, violation_time_limit_seconds: Optional[pulumi.Input[int]] = None, warning: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionWarningArgs']]] = None, __props__=None): """ Use this resource to create and manage NRQL alert conditions in New Relic. ## Example Usage ## NRQL The `nrql` block supports the following arguments: - `query` - (Required) The NRQL query to execute for the condition. - `evaluation_offset` - (Optional*) Represented in minutes and must be within 1-20 minutes (inclusive). NRQL queries are evaluated in one-minute time windows. The start time depends on this value. It's recommended to set this to 3 minutes. An offset of less than 3 minutes will trigger violations sooner, but you may see more false positives and negatives due to data latency. With `evaluation_offset` set to 3 minutes, the NRQL time window applied to your query will be: `SINCE 3 minutes ago UNTIL 2 minutes ago`. \***Note**: One of `evaluation_offset` _or_ `since_value` must be set, but not both. - `since_value` - (Optional*) **DEPRECATED:** Use `evaluation_offset` instead. The value to be used in the `SINCE <X> minutes ago` clause for the NRQL query. Must be between 1-20 (inclusive). \***Note**: One of `evaluation_offset` _or_ `since_value` must be set, but not both. ## Terms > **NOTE:** The direct use of the `term` has been deprecated, and users should use `critical` and `warning` instead. What follows now applies to the named priority attributes for `critical` and `warning`, but for those attributes the priority is not allowed. NRQL alert conditions support up to two terms. At least one `term` must have `priority` set to `critical` and the second optional `term` must have `priority` set to `warning`. The `term` block the following arguments: - `operator` - (Optional) Valid values are `above`, `below`, or `equals` (case insensitive). Defaults to `equals`. Note that when using a `type` of `outlier`, the only valid option here is `above`. - `priority` - (Optional) `critical` or `warning`. Defaults to `critical`. - `threshold` - (Required) The value which will trigger a violation. Must be `0` or greater. - `threshold_duration` - (Optional) The duration, in seconds, that the threshold must violate in order to create a violation. Value must be a multiple of the `aggregation_window` (which has a default of 60 seconds). For _baseline_ and _outlier_ NRQL alert conditions, the value must be within 120-3600 seconds (inclusive). For _static_ NRQL alert conditions with the `sum` value function, the value must be within 120-7200 seconds (inclusive). For _static_ NRQL alert conditions with the `single_value` value function, the value must be within 60-7200 seconds (inclusive). - `threshold_occurrences` - (Optional) The criteria for how many data points must be in violation for the specified threshold duration. Valid values are: `all` or `at_least_once` (case insensitive). - `duration` - (Optional) **DEPRECATED:** Use `threshold_duration` instead. The duration of time, in _minutes_, that the threshold must violate for in order to create a violation. Must be within 1-120 (inclusive). - `time_function` - (Optional) **DEPRECATED:** Use `threshold_occurrences` instead. The criteria for how many data points must be in violation for the specified threshold duration. Valid values are: `all` or `any`. ## Import Alert conditions can be imported using a composite ID of `<policy_id>:<condition_id>:<conditionType>`, e.g. // For `baseline` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:baseline ``` // For `static` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:static ``` // For `outlier` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:outlier ``` The actual values for `policy_id` and `condition_id` can be retrieved from the following New Relic URL when viewing the NRQL alert condition you want to importalerts.newrelic.com/accounts/**\<account_id\>**/policies/**\<policy_id\>**/conditions/**\<condition_id\>**/edit :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] account_id: The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. :param pulumi.Input[int] aggregation_window: The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. :param pulumi.Input[str] baseline_direction: The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). :param pulumi.Input[bool] close_violations_on_expiration: Whether to close all open violations when the signal expires. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionCriticalArgs']] critical: A list containing the `critical` threshold values. See Terms below for details. :param pulumi.Input[str] description: The description of the NRQL alert condition. :param pulumi.Input[bool] enabled: Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. :param pulumi.Input[int] expected_groups: Number of expected groups when using `outlier` detection. :param pulumi.Input[int] expiration_duration: The amount of time (in seconds) to wait before considering the signal expired. :param pulumi.Input[str] fill_option: Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. :param pulumi.Input[float] fill_value: This value will be used for filling gaps in the signal. :param pulumi.Input[bool] ignore_overlap: **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. :param pulumi.Input[str] name: The title of the condition. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionNrqlArgs']] nrql: A NRQL query. See NRQL below for details. :param pulumi.Input[bool] open_violation_on_expiration: Whether to create a new violation to capture that the signal expired. :param pulumi.Input[bool] open_violation_on_group_overlap: Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. :param pulumi.Input[int] policy_id: The ID of the policy where this condition should be used. :param pulumi.Input[str] runbook_url: Runbook URL to display in notifications. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NrqlAlertConditionTermArgs']]]] terms: **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. :param pulumi.Input[str] type: The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. :param pulumi.Input[str] value_function: Possible values are `single_value`, `sum` (case insensitive). :param pulumi.Input[str] violation_time_limit: **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[int] violation_time_limit_seconds: Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionWarningArgs']] warning: A list containing the `warning` threshold values. See Terms below for details. """ ... @overload def __init__(__self__, resource_name: str, args: NrqlAlertConditionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Use this resource to create and manage NRQL alert conditions in New Relic. ## Example Usage ## NRQL The `nrql` block supports the following arguments: - `query` - (Required) The NRQL query to execute for the condition. - `evaluation_offset` - (Optional*) Represented in minutes and must be within 1-20 minutes (inclusive). NRQL queries are evaluated in one-minute time windows. The start time depends on this value. It's recommended to set this to 3 minutes. An offset of less than 3 minutes will trigger violations sooner, but you may see more false positives and negatives due to data latency. With `evaluation_offset` set to 3 minutes, the NRQL time window applied to your query will be: `SINCE 3 minutes ago UNTIL 2 minutes ago`. \***Note**: One of `evaluation_offset` _or_ `since_value` must be set, but not both. - `since_value` - (Optional*) **DEPRECATED:** Use `evaluation_offset` instead. The value to be used in the `SINCE <X> minutes ago` clause for the NRQL query. Must be between 1-20 (inclusive). \***Note**: One of `evaluation_offset` _or_ `since_value` must be set, but not both. ## Terms > **NOTE:** The direct use of the `term` has been deprecated, and users should use `critical` and `warning` instead. What follows now applies to the named priority attributes for `critical` and `warning`, but for those attributes the priority is not allowed. NRQL alert conditions support up to two terms. At least one `term` must have `priority` set to `critical` and the second optional `term` must have `priority` set to `warning`. The `term` block the following arguments: - `operator` - (Optional) Valid values are `above`, `below`, or `equals` (case insensitive). Defaults to `equals`. Note that when using a `type` of `outlier`, the only valid option here is `above`. - `priority` - (Optional) `critical` or `warning`. Defaults to `critical`. - `threshold` - (Required) The value which will trigger a violation. Must be `0` or greater. - `threshold_duration` - (Optional) The duration, in seconds, that the threshold must violate in order to create a violation. Value must be a multiple of the `aggregation_window` (which has a default of 60 seconds). For _baseline_ and _outlier_ NRQL alert conditions, the value must be within 120-3600 seconds (inclusive). For _static_ NRQL alert conditions with the `sum` value function, the value must be within 120-7200 seconds (inclusive). For _static_ NRQL alert conditions with the `single_value` value function, the value must be within 60-7200 seconds (inclusive). - `threshold_occurrences` - (Optional) The criteria for how many data points must be in violation for the specified threshold duration. Valid values are: `all` or `at_least_once` (case insensitive). - `duration` - (Optional) **DEPRECATED:** Use `threshold_duration` instead. The duration of time, in _minutes_, that the threshold must violate for in order to create a violation. Must be within 1-120 (inclusive). - `time_function` - (Optional) **DEPRECATED:** Use `threshold_occurrences` instead. The criteria for how many data points must be in violation for the specified threshold duration. Valid values are: `all` or `any`. ## Import Alert conditions can be imported using a composite ID of `<policy_id>:<condition_id>:<conditionType>`, e.g. // For `baseline` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:baseline ``` // For `static` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:static ``` // For `outlier` conditions ```sh $ pulumi import newrelic:index/nrqlAlertCondition:NrqlAlertCondition foo 538291:6789035:outlier ``` The actual values for `policy_id` and `condition_id` can be retrieved from the following New Relic URL when viewing the NRQL alert condition you want to importalerts.newrelic.com/accounts/**\<account_id\>**/policies/**\<policy_id\>**/conditions/**\<condition_id\>**/edit :param str resource_name: The name of the resource. :param NrqlAlertConditionArgs 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(NrqlAlertConditionArgs, 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, account_id: Optional[pulumi.Input[int]] = None, aggregation_window: Optional[pulumi.Input[int]] = None, baseline_direction: Optional[pulumi.Input[str]] = None, close_violations_on_expiration: Optional[pulumi.Input[bool]] = None, critical: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionCriticalArgs']]] = None, description: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expected_groups: Optional[pulumi.Input[int]] = None, expiration_duration: Optional[pulumi.Input[int]] = None, fill_option: Optional[pulumi.Input[str]] = None, fill_value: Optional[pulumi.Input[float]] = None, ignore_overlap: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, nrql: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionNrqlArgs']]] = None, open_violation_on_expiration: Optional[pulumi.Input[bool]] = None, open_violation_on_group_overlap: Optional[pulumi.Input[bool]] = None, policy_id: Optional[pulumi.Input[int]] = None, runbook_url: Optional[pulumi.Input[str]] = None, terms: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NrqlAlertConditionTermArgs']]]]] = None, type: Optional[pulumi.Input[str]] = None, value_function: Optional[pulumi.Input[str]] = None, violation_time_limit: Optional[pulumi.Input[str]] = None, violation_time_limit_seconds: Optional[pulumi.Input[int]] = None, warning: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionWarningArgs']]] = 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__ = NrqlAlertConditionArgs.__new__(NrqlAlertConditionArgs) __props__.__dict__["account_id"] = account_id __props__.__dict__["aggregation_window"] = aggregation_window __props__.__dict__["baseline_direction"] = baseline_direction __props__.__dict__["close_violations_on_expiration"] = close_violations_on_expiration __props__.__dict__["critical"] = critical __props__.__dict__["description"] = description __props__.__dict__["enabled"] = enabled __props__.__dict__["expected_groups"] = expected_groups __props__.__dict__["expiration_duration"] = expiration_duration __props__.__dict__["fill_option"] = fill_option __props__.__dict__["fill_value"] = fill_value if ignore_overlap is not None and not opts.urn: warnings.warn("""use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""", DeprecationWarning) pulumi.log.warn("""ignore_overlap is deprecated: use `open_violation_on_group_overlap` attribute instead, but use the inverse of your boolean - e.g. if ignore_overlap = false, use open_violation_on_group_overlap = true""") __props__.__dict__["ignore_overlap"] = ignore_overlap __props__.__dict__["name"] = name if nrql is None and not opts.urn: raise TypeError("Missing required property 'nrql'") __props__.__dict__["nrql"] = nrql __props__.__dict__["open_violation_on_expiration"] = open_violation_on_expiration __props__.__dict__["open_violation_on_group_overlap"] = open_violation_on_group_overlap if policy_id is None and not opts.urn: raise TypeError("Missing required property 'policy_id'") __props__.__dict__["policy_id"] = policy_id __props__.__dict__["runbook_url"] = runbook_url if terms is not None and not opts.urn: warnings.warn("""use `critical` and `warning` attributes instead""", DeprecationWarning) pulumi.log.warn("""terms is deprecated: use `critical` and `warning` attributes instead""") __props__.__dict__["terms"] = terms __props__.__dict__["type"] = type __props__.__dict__["value_function"] = value_function if violation_time_limit is not None and not opts.urn: warnings.warn("""use `violation_time_limit_seconds` attribute instead""", DeprecationWarning) pulumi.log.warn("""violation_time_limit is deprecated: use `violation_time_limit_seconds` attribute instead""") __props__.__dict__["violation_time_limit"] = violation_time_limit __props__.__dict__["violation_time_limit_seconds"] = violation_time_limit_seconds __props__.__dict__["warning"] = warning super(NrqlAlertCondition, __self__).__init__( 'newrelic:index/nrqlAlertCondition:NrqlAlertCondition', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, account_id: Optional[pulumi.Input[int]] = None, aggregation_window: Optional[pulumi.Input[int]] = None, baseline_direction: Optional[pulumi.Input[str]] = None, close_violations_on_expiration: Optional[pulumi.Input[bool]] = None, critical: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionCriticalArgs']]] = None, description: Optional[pulumi.Input[str]] = None, enabled: Optional[pulumi.Input[bool]] = None, expected_groups: Optional[pulumi.Input[int]] = None, expiration_duration: Optional[pulumi.Input[int]] = None, fill_option: Optional[pulumi.Input[str]] = None, fill_value: Optional[pulumi.Input[float]] = None, ignore_overlap: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, nrql: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionNrqlArgs']]] = None, open_violation_on_expiration: Optional[pulumi.Input[bool]] = None, open_violation_on_group_overlap: Optional[pulumi.Input[bool]] = None, policy_id: Optional[pulumi.Input[int]] = None, runbook_url: Optional[pulumi.Input[str]] = None, terms: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NrqlAlertConditionTermArgs']]]]] = None, type: Optional[pulumi.Input[str]] = None, value_function: Optional[pulumi.Input[str]] = None, violation_time_limit: Optional[pulumi.Input[str]] = None, violation_time_limit_seconds: Optional[pulumi.Input[int]] = None, warning: Optional[pulumi.Input[pulumi.InputType['NrqlAlertConditionWarningArgs']]] = None) -> 'NrqlAlertCondition': """ Get an existing NrqlAlertCondition 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[int] account_id: The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. :param pulumi.Input[int] aggregation_window: The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. :param pulumi.Input[str] baseline_direction: The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). :param pulumi.Input[bool] close_violations_on_expiration: Whether to close all open violations when the signal expires. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionCriticalArgs']] critical: A list containing the `critical` threshold values. See Terms below for details. :param pulumi.Input[str] description: The description of the NRQL alert condition. :param pulumi.Input[bool] enabled: Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. :param pulumi.Input[int] expected_groups: Number of expected groups when using `outlier` detection. :param pulumi.Input[int] expiration_duration: The amount of time (in seconds) to wait before considering the signal expired. :param pulumi.Input[str] fill_option: Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. :param pulumi.Input[float] fill_value: This value will be used for filling gaps in the signal. :param pulumi.Input[bool] ignore_overlap: **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. :param pulumi.Input[str] name: The title of the condition. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionNrqlArgs']] nrql: A NRQL query. See NRQL below for details. :param pulumi.Input[bool] open_violation_on_expiration: Whether to create a new violation to capture that the signal expired. :param pulumi.Input[bool] open_violation_on_group_overlap: Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. :param pulumi.Input[int] policy_id: The ID of the policy where this condition should be used. :param pulumi.Input[str] runbook_url: Runbook URL to display in notifications. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['NrqlAlertConditionTermArgs']]]] terms: **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. :param pulumi.Input[str] type: The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. :param pulumi.Input[str] value_function: Possible values are `single_value`, `sum` (case insensitive). :param pulumi.Input[str] violation_time_limit: **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[int] violation_time_limit_seconds: Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. :param pulumi.Input[pulumi.InputType['NrqlAlertConditionWarningArgs']] warning: A list containing the `warning` threshold values. See Terms below for details. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _NrqlAlertConditionState.__new__(_NrqlAlertConditionState) __props__.__dict__["account_id"] = account_id __props__.__dict__["aggregation_window"] = aggregation_window __props__.__dict__["baseline_direction"] = baseline_direction __props__.__dict__["close_violations_on_expiration"] = close_violations_on_expiration __props__.__dict__["critical"] = critical __props__.__dict__["description"] = description __props__.__dict__["enabled"] = enabled __props__.__dict__["expected_groups"] = expected_groups __props__.__dict__["expiration_duration"] = expiration_duration __props__.__dict__["fill_option"] = fill_option __props__.__dict__["fill_value"] = fill_value __props__.__dict__["ignore_overlap"] = ignore_overlap __props__.__dict__["name"] = name __props__.__dict__["nrql"] = nrql __props__.__dict__["open_violation_on_expiration"] = open_violation_on_expiration __props__.__dict__["open_violation_on_group_overlap"] = open_violation_on_group_overlap __props__.__dict__["policy_id"] = policy_id __props__.__dict__["runbook_url"] = runbook_url __props__.__dict__["terms"] = terms __props__.__dict__["type"] = type __props__.__dict__["value_function"] = value_function __props__.__dict__["violation_time_limit"] = violation_time_limit __props__.__dict__["violation_time_limit_seconds"] = violation_time_limit_seconds __props__.__dict__["warning"] = warning return NrqlAlertCondition(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="accountId") def account_id(self) -> pulumi.Output[int]: """ The New Relic account ID of the account you wish to create the condition. Defaults to the account ID set in your environment variable `NEW_RELIC_ACCOUNT_ID`. """ return pulumi.get(self, "account_id") @property @pulumi.getter(name="aggregationWindow") def aggregation_window(self) -> pulumi.Output[int]: """ The duration of the time window used to evaluate the NRQL query, in seconds. The value must be at least 30 seconds, and no more than 15 minutes (900 seconds). Default is 60 seconds. """ return pulumi.get(self, "aggregation_window") @property @pulumi.getter(name="baselineDirection") def baseline_direction(self) -> pulumi.Output[Optional[str]]: """ The baseline direction of a _baseline_ NRQL alert condition. Valid values are: `lower_only`, `upper_and_lower`, `upper_only` (case insensitive). """ return pulumi.get(self, "baseline_direction") @property @pulumi.getter(name="closeViolationsOnExpiration") def close_violations_on_expiration(self) -> pulumi.Output[Optional[bool]]: """ Whether to close all open violations when the signal expires. """ return pulumi.get(self, "close_violations_on_expiration") @property @pulumi.getter def critical(self) -> pulumi.Output[Optional['outputs.NrqlAlertConditionCritical']]: """ A list containing the `critical` threshold values. See Terms below for details. """ return pulumi.get(self, "critical") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ The description of the NRQL alert condition. """ return pulumi.get(self, "description") @property @pulumi.getter def enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether to enable the alert condition. Valid values are `true` and `false`. Defaults to `true`. """ return pulumi.get(self, "enabled") @property @pulumi.getter(name="expectedGroups") def expected_groups(self) -> pulumi.Output[Optional[int]]: """ Number of expected groups when using `outlier` detection. """ return pulumi.get(self, "expected_groups") @property @pulumi.getter(name="expirationDuration") def expiration_duration(self) -> pulumi.Output[Optional[int]]: """ The amount of time (in seconds) to wait before considering the signal expired. """ return pulumi.get(self, "expiration_duration") @property @pulumi.getter(name="fillOption") def fill_option(self) -> pulumi.Output[Optional[str]]: """ Which strategy to use when filling gaps in the signal. Possible values are `none`, `last_value` or `static`. If `static`, the `fill_value` field will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_option") @property @pulumi.getter(name="fillValue") def fill_value(self) -> pulumi.Output[Optional[float]]: """ This value will be used for filling gaps in the signal. """ return pulumi.get(self, "fill_value") @property @pulumi.getter(name="ignoreOverlap") def ignore_overlap(self) -> pulumi.Output[Optional[bool]]: """ **DEPRECATED:** Use `open_violation_on_group_overlap` instead, but use the inverse value of your boolean - e.g. if `ignore_overlap = false`, use `open_violation_on_group_overlap = true`. This argument sets whether to trigger a violation when groups overlap. If set to `true` overlapping groups will not trigger a violation. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "ignore_overlap") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The title of the condition. """ return pulumi.get(self, "name") @property @pulumi.getter def nrql(self) -> pulumi.Output['outputs.NrqlAlertConditionNrql']: """ A NRQL query. See NRQL below for details. """ return pulumi.get(self, "nrql") @property @pulumi.getter(name="openViolationOnExpiration") def open_violation_on_expiration(self) -> pulumi.Output[Optional[bool]]: """ Whether to create a new violation to capture that the signal expired. """ return pulumi.get(self, "open_violation_on_expiration") @property @pulumi.getter(name="openViolationOnGroupOverlap") def open_violation_on_group_overlap(self) -> pulumi.Output[Optional[bool]]: """ Whether or not to trigger a violation when groups overlap. Set to `true` if you want to trigger a violation when groups overlap. This argument is only applicable in `outlier` conditions. """ return pulumi.get(self, "open_violation_on_group_overlap") @property @pulumi.getter(name="policyId") def policy_id(self) -> pulumi.Output[int]: """ The ID of the policy where this condition should be used. """ return pulumi.get(self, "policy_id") @property @pulumi.getter(name="runbookUrl") def runbook_url(self) -> pulumi.Output[Optional[str]]: """ Runbook URL to display in notifications. """ return pulumi.get(self, "runbook_url") @property @pulumi.getter def terms(self) -> pulumi.Output[Optional[Sequence['outputs.NrqlAlertConditionTerm']]]: """ **DEPRECATED** Use `critical`, and `warning` instead. A list of terms for this condition. See Terms below for details. """ return pulumi.get(self, "terms") @property @pulumi.getter def type(self) -> pulumi.Output[Optional[str]]: """ The type of the condition. Valid values are `static`, `baseline`, or `outlier`. Defaults to `static`. """ return pulumi.get(self, "type") @property @pulumi.getter(name="valueFunction") def value_function(self) -> pulumi.Output[Optional[str]]: """ Possible values are `single_value`, `sum` (case insensitive). """ return pulumi.get(self, "value_function") @property @pulumi.getter(name="violationTimeLimit") def violation_time_limit(self) -> pulumi.Output[str]: """ **DEPRECATED:** Use `violation_time_limit_seconds` instead. Sets a time limit, in hours, that will automatically force-close a long-lasting violation after the time limit you select. Possible values are `ONE_HOUR`, `TWO_HOURS`, `FOUR_HOURS`, `EIGHT_HOURS`, `TWELVE_HOURS`, `TWENTY_FOUR_HOURS`, `THIRTY_DAYS` (case insensitive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit") @property @pulumi.getter(name="violationTimeLimitSeconds") def violation_time_limit_seconds(self) -> pulumi.Output[Optional[int]]: """ Sets a time limit, in seconds, that will automatically force-close a long-lasting violation after the time limit you select. The value must be between 300 seconds (5 minutes) to 2592000 seconds (30 days) (inclusive). \***Note**: One of `violation_time_limit` _or_ `violation_time_limit_seconds` must be set, but not both. """ return pulumi.get(self, "violation_time_limit_seconds") @property @pulumi.getter def warning(self) -> pulumi.Output[Optional['outputs.NrqlAlertConditionWarning']]: """ A list containing the `warning` threshold values. See Terms below for details. """ return pulumi.get(self, "warning")

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6501353b0ccda822b1119f34ca9acccdf3fc9f18

121

py

Python

04higher_order_functions_modules_std_lambdas_inheritance/my_module.py

DrSloth/first_steps_in_python

36e56bfd4da89bc644d2adbc2ea5010a071f2c4c

[ "MIT" ]

2

2022-02-18T09:03:07.000Z

2022-02-18T09:03:16.000Z

04higher_order_functions_modules_std_lambdas_inheritance/my_module.py

DrSloth/first_steps_in_python

36e56bfd4da89bc644d2adbc2ea5010a071f2c4c

[ "MIT" ]

null

04higher_order_functions_modules_std_lambdas_inheritance/my_module.py

DrSloth/first_steps_in_python

36e56bfd4da89bc644d2adbc2ea5010a071f2c4c

[ "MIT" ]

null

# This module contains a function to print Hello, World! # Prints Hello, World! def hello(): print("Hello, World!")

20.166667

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6,028

py

Python

tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py

ghlecl/holidata

1db24d4aecab7ec7a007720987d84ffb0988b6db

[ "MIT" ]

null

tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py

ghlecl/holidata

1db24d4aecab7ec7a007720987d84ffb0988b6db

[ "MIT" ]

null

tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py

ghlecl/holidata

1db24d4aecab7ec7a007720987d84ffb0988b6db

[ "MIT" ]

null

[ { 'date': '2011-01-01', 'description': 'Neujahr', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NF' }, { 'date': '2011-01-06', 'description': 'Heilige drei Könige', 'locale': 'de-DE', 'notes': '', 'region': 'BW', 'type': 'NRF' }, { 'date': '2011-01-06', 'description': 'Heilige drei Könige', 'locale': 'de-DE', 'notes': '', 'region': 'BY', 'type': 'NRF' }, { 'date': '2011-01-06', 'description': 'Heilige drei Könige', 'locale': 'de-DE', 'notes': '', 'region': 'ST', 'type': 'NRF' }, { 'date': '2011-04-22', 'description': 'Karfreitag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-04-24', 'description': 'Ostern', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-04-25', 'description': 'Ostermontag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-05-01', 'description': 'Erster Maifeiertag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NF' }, { 'date': '2011-06-02', 'description': 'Christi Himmelfahrt', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-06-12', 'description': 'Pfingstsonntag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-06-13', 'description': 'Pfingstmontag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'BW', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'BY', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'HE', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'NW', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'RP', 'type': 'NRV' }, { 'date': '2011-06-23', 'description': 'Fronleichnam', 'locale': 'de-DE', 'notes': '', 'region': 'SL', 'type': 'NRV' }, { 'date': '2011-08-15', 'description': 'Mariä Himmelfahrt', 'locale': 'de-DE', 'notes': '', 'region': 'SL', 'type': 'NRF' }, { 'date': '2011-10-03', 'description': 'Tag der Deutschen Einheit', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRF' }, { 'date': '2011-10-31', 'description': 'Reformationstag', 'locale': 'de-DE', 'notes': '', 'region': 'BB', 'type': 'NRF' }, { 'date': '2011-10-31', 'description': 'Reformationstag', 'locale': 'de-DE', 'notes': '', 'region': 'MV', 'type': 'NRF' }, { 'date': '2011-10-31', 'description': 'Reformationstag', 'locale': 'de-DE', 'notes': '', 'region': 'SN', 'type': 'NRF' }, { 'date': '2011-10-31', 'description': 'Reformationstag', 'locale': 'de-DE', 'notes': '', 'region': 'ST', 'type': 'NRF' }, { 'date': '2011-10-31', 'description': 'Reformationstag', 'locale': 'de-DE', 'notes': '', 'region': 'TH', 'type': 'NRF' }, { 'date': '2011-11-01', 'description': 'Allerheiligen', 'locale': 'de-DE', 'notes': '', 'region': 'BW', 'type': 'NRF' }, { 'date': '2011-11-01', 'description': 'Allerheiligen', 'locale': 'de-DE', 'notes': '', 'region': 'BY', 'type': 'NRF' }, { 'date': '2011-11-01', 'description': 'Allerheiligen', 'locale': 'de-DE', 'notes': '', 'region': 'NW', 'type': 'NRF' }, { 'date': '2011-11-01', 'description': 'Allerheiligen', 'locale': 'de-DE', 'notes': '', 'region': 'RP', 'type': 'NRF' }, { 'date': '2011-11-01', 'description': 'Allerheiligen', 'locale': 'de-DE', 'notes': '', 'region': 'SL', 'type': 'NRF' }, { 'date': '2011-11-16', 'description': 'Buß- und Bettag', 'locale': 'de-DE', 'notes': '', 'region': 'SN', 'type': 'NRV' }, { 'date': '2011-12-24', 'description': 'Heilig Abend', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRF' }, { 'date': '2011-12-25', 'description': 'Weihnachtstag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRF' }, { 'date': '2011-12-26', 'description': 'Zweiter Weihnachtstag', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NRF' }, { 'date': '2011-12-31', 'description': 'Silvester', 'locale': 'de-DE', 'notes': '', 'region': '', 'type': 'NF' } ]

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0.37077

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6,028

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null

0

1

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8

6825b92437b2decac156c71d71cfbd6456858669

108

py

Python

spec_version.py

antonvh/ev3dev-lang-python

7dd6a657d998476c3258863998cae34ea161baa1

[ "MIT" ]

1

2020-12-01T23:23:33.000Z

spec_version.py

antonvh/ev3dev-lang-python

7dd6a657d998476c3258863998cae34ea161baa1

[ "MIT" ]

null

spec_version.py

antonvh/ev3dev-lang-python

7dd6a657d998476c3258863998cae34ea161baa1

[ "MIT" ]

1

2020-12-01T23:23:34.000Z

# ~autogen spec_version spec_version = "spec: 0.9.3-pre-r2, kernel: v3.16.7-ckt16-7-ev3dev-ev3" # ~autogen

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71

0.703704

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108

3.7

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0.135417

0.111111

108

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1

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1

0

1

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null

0

7

d7a9feddc8c1b28c75d579ce48b9fe064b15ddec

119

py

Python

python_20740628/chapter_one/6.py

vimm0/python_exercise

7773d95b4c25b82a9d014f7a814ac83df9ebac17

[ "MIT" ]

null

python_20740628/chapter_one/6.py

vimm0/python_exercise

7773d95b4c25b82a9d014f7a814ac83df9ebac17

[ "MIT" ]

null

python_20740628/chapter_one/6.py

vimm0/python_exercise

7773d95b4c25b82a9d014f7a814ac83df9ebac17

[ "MIT" ]

1

2018-01-04T16:27:31.000Z

def check_palindrome(str): return str == str[::-1] print(check_palindrome('palpa')) print(check_palindrome('radar'))

19.833333

32

0.731092

16

119

5.25

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0.535714

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1

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1

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7

d7f9937de321ef353dde5adfe61aa9c9997e6117

3,190

py

Python

build/lib/pypse/operators.py

HankelBao/PyPse

0022226703592ef030f8d4cdb94cdb089d36edb5

[ "MIT" ]

9

2018-11-25T15:31:21.000Z

2021-03-17T20:24:57.000Z

build/lib/pypse/operators.py

HankelBao/PyPse

0022226703592ef030f8d4cdb94cdb089d36edb5

[ "MIT" ]

null

build/lib/pypse/operators.py

HankelBao/PyPse

0022226703592ef030f8d4cdb94cdb089d36edb5

[ "MIT" ]

2

2019-02-02T17:42:35.000Z

2020-12-08T16:25:50.000Z

from lark import Tree from .values import Value, ValueType from .debug import DebugOutput class Operator(): priority = 0 def operate(value1: Value, value2: Value) -> Value: pass def debug_output(): DebugOutput.output("anonymous operator") class OperatorAdd(Operator): priority = 2 def operate(value1: Value, value2: Value) -> Value: if value1.value_type == ValueType.INT and value2.value_type == ValueType.INT: value = Value(ValueType.INT) value_in_python = int(value1.value_in_python + value2.value_in_python) value.assign_value_in_python(value_in_python) return value return None def debug_output(): DebugOutput.output("+") class OperatorMinus(Operator): priority = 2 def operate(value1: Value, value2: Value) -> Value: value = Value(value1.value_type) value_in_python = value1.value_in_python - value2.value_in_python value.assign_value_in_python(value_in_python) return value def debug_output(): DebugOutput.output("-") class OperatorMultiple(Operator): priority = 3 def operate(value1: Value, value2: Value) -> Value: value = Value(value1.value_type) value_in_python = value1.value_in_python * value2.value_in_python value.assign_value_in_python(value_in_python) return value def debug_output(): DebugOutput.output("*") class OperatorDivide(Operator): priority = 3 def operate(value1: Value, value2: Value) -> Value: value = Value(value1.value_type) value_in_python = value1.value_in_python / value2.value_in_python value.assign_value_in_python(value_in_python) return value def debug_output(): DebugOutput.output("/") class OperatorEqual(Operator): priority = 1 def operate(value1: Value, value2: Value) -> Value: if value1.value_type == value2.value_type: value_in_python = value1.value_in_python == value2.value_in_python value = Value(ValueType.BOOL) value.assign_value_in_python(value_in_python) return value return None def debug_output(): DebugOutput.output("=") class OperatorLargerThan(Operator): priority = 1 def operate(value1: Value, value2: Value) -> Value: if value1.value_type == value2.value_type: value_in_python = value1.value_in_python > value2.value_in_python value = Value(ValueType.BOOL) value.assign_value_in_python(value_in_python) return value return None def debug_output(): DebugOutput.output(">") class OperatorSmallerThan(Operator): priority = 1 def operate(value1: Value, value2: Value) -> Value: if value1.value_type == value2.value_type: value_in_python = value1.value_in_python < value2.value_in_python value = Value(ValueType.BOOL) value.assign_value_in_python(value_in_python) return value return None def debug_output(): DebugOutput.output("<") # from .converters import convert_token_to_operator

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0

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0.822817

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0

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0

null

0

1

0

1

0

null

0

1

0

8

cc1ac9d48b670d93f673abd781103ddf70895605

1,584

py

Python

dash_fcast/distributions/utils.py

dsbowen/dash-fcast

b589dfa370e8170f76893ba2f484bf03eaca7522

[ "MIT" ]

null

dash_fcast/distributions/utils.py

dsbowen/dash-fcast

b589dfa370e8170f76893ba2f484bf03eaca7522

[ "MIT" ]

1

2021-05-26T12:55:28.000Z

2021-05-27T12:15:48.000Z

dash_fcast/distributions/utils.py

dsbowen/dash-fcast

b589dfa370e8170f76893ba2f484bf03eaca7522

[ "MIT" ]

null

from scipy.stats._continuous_distns import expon_gen, gamma_gen class reflect(): def pdf(self, x, *args, **kwargs): return super().pdf(-x, *args, **kwargs) def logpdf(self, x, *args, **kwargs): return super().logpdf(-x, *args, **kwargs) def cdf(self, x, *args, **kwargs): return 1 - super().cdf(-x, *args, **kwargs) # def logcdf(self, x, *args, **kwargs): # return super().logcdf(-x, *args, **kwargs) def sf(self, x, *args, **kwargs): return 1 - super().sf(-x, *args, **kwargs) # def logsf(self, x, *args, **kwargs): # return super().logsf(-x, *args, **kwargs) def ppf(self, q, *args, **kwargs): return -super().ppf(1-q, *args, **kwargs) def isf(self, q, *args, **kwargs): return -super().isf(1-q, *args, **kwargs) def moment(self, n, *args, **kwargs): return -super().moment(n, *args, **kwargs) def mean(self, *args, **kwargs): return -super().mean(*args, **kwargs) def median(self, *args, **kwargs): return -super().median(*args, **kwargs) # TODO # stats # entropy # expect # interval # fit # fit_loc_scale # nnlf # support class rexpon_gen(reflect, expon_gen): def __call__(self, loc=0, *args, **kwargs): return super().__call__(-loc, *args, **kwargs) rexpon = rexpon_gen(a=0., name='rexpon') class rgamma_gen(reflect, gamma_gen): def __call__(self, a=1, loc=0, *args, **kwargs): return super().__call__(a, -loc, *args, **kwargs) rgamma = rgamma_gen(a=0, name='rgamma')

25.967213

63

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210

1,584

4.161905

0.22381

0.297483

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0

0.007432

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1,584

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false

0

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0

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0

null

0

1

0

1

0

1

0

7

0be132164364ba05a50c33f7d7f0ce57460713e7

11,745

py

Python

rlkit/demos/source/encoder_dict_to_mdp_path_loader.py

anair13/rlkit

028885a6528b9d871d1946671f84ad93d90eded1

[ "MIT" ]

11

2020-01-24T17:16:42.000Z

2022-01-30T23:07:06.000Z

rlkit/demos/source/encoder_dict_to_mdp_path_loader.py

anair13/rlkit

028885a6528b9d871d1946671f84ad93d90eded1

[ "MIT" ]

null

rlkit/demos/source/encoder_dict_to_mdp_path_loader.py

anair13/rlkit

028885a6528b9d871d1946671f84ad93d90eded1

[ "MIT" ]

3

2020-04-13T09:17:25.000Z

2021-10-16T08:03:10.000Z

from collections import OrderedDict import pickle import numpy as np import torch import torch.optim as optim from torch import nn as nn import torch.nn.functional as F import copy import rlkit.torch.pytorch_util as ptu from rlkit.core.eval_util import create_stats_ordered_dict from rlkit.torch.torch_rl_algorithm import TorchTrainer from rlkit.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader from rlkit.util.io import ( load_local_or_remote_file, sync_down_folder, get_absolute_path, sync_down ) import random from rlkit.torch.core import np_to_pytorch_batch from rlkit.data_management.path_builder import PathBuilder from rlkit.launchers.conf import LOCAL_LOG_DIR, AWS_S3_PATH from rlkit.core import logger import glob class EncoderDictToMDPPathLoader(DictToMDPPathLoader): def __init__( self, trainer, replay_buffer, demo_train_buffer, demo_test_buffer, model=None, model_path=None, reward_fn=None, env=None, demo_paths=[], # list of dicts normalize=False, demo_train_split=0.9, demo_data_split=1, add_demos_to_replay_buffer=True, condition_encoding=False, bc_num_pretrain_steps=0, bc_batch_size=64, bc_weight=1.0, rl_weight=1.0, q_num_pretrain_steps=0, weight_decay=0, eval_policy=None, recompute_reward=False, object_list=None, env_info_key=None, obs_key=None, load_terminals=True, delete_after_loading=False, data_filter_fn=lambda x: True, # Return true to add path, false to ignore it **kwargs ): super().__init__(trainer, replay_buffer, demo_train_buffer, demo_test_buffer, demo_paths, demo_train_split, demo_data_split, add_demos_to_replay_buffer, bc_num_pretrain_steps, bc_batch_size, bc_weight, rl_weight, q_num_pretrain_steps, weight_decay, eval_policy, recompute_reward, env_info_key, obs_key, load_terminals, delete_after_loading, data_filter_fn, **kwargs) if model is None: self.model = load_local_or_remote_file(model_path, delete_after_loading=delete_after_loading) else: self.model = model self.condition_encoding = condition_encoding self.reward_fn = reward_fn self.normalize = normalize self.object_list = object_list self.env = env def preprocess(self, observation): observation = copy.deepcopy(observation) images = np.stack([observation[i]['image_observation'] for i in range(len(observation))]) if self.normalize: images = images / 255.0 if self.condition_encoding: cond = images[0].repeat(len(observation), axis=0) latents = self.model.encode_np(images, cond) else: latents = self.model.encode_np(images) for i in range(len(observation)): observation[i]["initial_latent_state"] = latents[0] observation[i]["latent_observation"] = latents[i] observation[i]["latent_achieved_goal"] = latents[i] observation[i]["latent_desired_goal"] = latents[-1] del observation[i]['image_observation'] return observation def preprocess_array_obs(self, observation): new_observations = [] for i in range(len(observation)): new_observations.append(dict(observation=observation[i])) return new_observations def encode(self, obs): if self.normalize: return ptu.get_numpy(self.model.encode(ptu.from_numpy(obs) / 255.0)) return ptu.get_numpy(self.model.encode(ptu.from_numpy(obs))) def load_path(self, path, replay_buffer, obs_dict=None): # Filter data # if not self.data_filter_fn(path): return rewards = [] path_builder = PathBuilder() H = min(len(path["observations"]), len(path["actions"])) if obs_dict: traj_obs = self.preprocess(path["observations"]) next_traj_obs = self.preprocess(path["next_observations"]) else: traj_obs = self.preprocess_array_obs(path["observations"]) next_traj_obs = self.preprocess_array_obs(path["next_observations"]) for i in range(H): ob = traj_obs[i] next_ob = next_traj_obs[i] action = path["actions"][i] reward = path["rewards"][i] terminal = path["terminals"][i] if not self.load_terminals: terminal = np.zeros(terminal.shape) agent_info = path["agent_infos"][i] env_info = path["env_infos"][i] if self.recompute_reward: reward = self.reward_fn(ob, action, next_ob, next_ob) reward = np.array([reward]).flatten() rewards.append(reward) terminal = np.array([terminal]).reshape((1,)) path_builder.add_all( observations=ob, actions=action, rewards=reward, next_observations=next_ob, terminals=terminal, agent_infos=agent_info, env_infos=env_info, ) self.demo_trajectory_rewards.append(rewards) path = path_builder.get_all_stacked() replay_buffer.add_path(path) print("rewards", np.min(rewards), np.max(rewards)) print("loading path, length", len(path["observations"]), len(path["actions"])) print("actions", np.min(path["actions"]), np.max(path["actions"])) print("path sum rewards", sum(rewards), len(rewards)) class DualEncoderDictToMDPPathLoader(DictToMDPPathLoader): def __init__( self, trainer, replay_buffer, demo_train_buffer, demo_test_buffer, model=None, model_path=None, input_model=None, input_model_path=None, reward_fn=None, env=None, demo_paths=[], # list of dicts normalize=False, demo_train_split=0.9, demo_data_split=1, add_demos_to_replay_buffer=True, condition_input_encoding=False, bc_num_pretrain_steps=0, bc_batch_size=64, bc_weight=1.0, rl_weight=1.0, q_num_pretrain_steps=0, weight_decay=0, eval_policy=None, recompute_reward=False, object_list=None, env_info_key=None, obs_key=None, load_terminals=True, delete_after_loading=False, data_filter_fn=lambda x: True, # Return true to add path, false to ignore it **kwargs ): super().__init__(trainer, replay_buffer, demo_train_buffer, demo_test_buffer, demo_paths, demo_train_split, demo_data_split, add_demos_to_replay_buffer, bc_num_pretrain_steps, bc_batch_size, bc_weight, rl_weight, q_num_pretrain_steps, weight_decay, eval_policy, recompute_reward, env_info_key, obs_key, load_terminals, delete_after_loading, data_filter_fn, **kwargs) if model is None: self.model = load_local_or_remote_file(model_path, delete_after_loading=delete_after_loading) else: self.model = model if input_model is None: self.input_model = load_local_or_remote_file(input_model_path, delete_after_loading=delete_after_loading) else: self.input_model = input_model self.condition_input_encoding = condition_input_encoding self.reward_fn = reward_fn self.normalize = normalize self.object_list = object_list self.env = env def preprocess(self, observation): observation = copy.deepcopy(observation) images = np.stack([observation[i]['image_observation'] for i in range(len(observation))]) if self.normalize: images = images / 255.0 if self.condition_input_encoding: cond = images[0].repeat(len(observation), axis=0) input_latents = self.input_model.encode_np(images, cond) else: input_latents = self.input_model.encode_np(images) latents = self.model.encode_np(images) for i in range(len(observation)): observation[i]["initial_latent_state"] = latents[0] observation[i]["latent_observation"] = latents[i] observation[i]["latent_achieved_goal"] = latents[i] observation[i]["input_latent"] = input_latents[i] observation[i]["latent_desired_goal"] = latents[-1] del observation[i]['image_observation'] return observation def preprocess_array_obs(self, observation): new_observations = [] for i in range(len(observation)): new_observations.append(dict(observation=observation[i])) return new_observations def encode(self, obs): if self.normalize: return ptu.get_numpy(self.model.encode(ptu.from_numpy(obs) / 255.0)) return ptu.get_numpy(self.model.encode(ptu.from_numpy(obs))) def load_path(self, path, replay_buffer, obs_dict=None): # Filter data # if not self.data_filter_fn(path): return rewards = [] path_builder = PathBuilder() H = min(len(path["observations"]), len(path["actions"])) if obs_dict: traj_obs = self.preprocess(path["observations"]) next_traj_obs = self.preprocess(path["next_observations"]) else: traj_obs = self.preprocess_array_obs(path["observations"]) next_traj_obs = self.preprocess_array_obs(path["next_observations"]) for i in range(H): ob = traj_obs[i] next_ob = next_traj_obs[i] action = path["actions"][i] reward = path["rewards"][i] terminal = path["terminals"][i] if not self.load_terminals: terminal = np.zeros(terminal.shape) agent_info = path["agent_infos"][i] env_info = path["env_infos"][i] if self.recompute_reward: reward = self.reward_fn(ob, action, next_ob, next_ob) reward = np.array([reward]).flatten() rewards.append(reward) terminal = np.array([terminal]).reshape((1,)) path_builder.add_all( observations=ob, actions=action, rewards=reward, next_observations=next_ob, terminals=terminal, agent_infos=agent_info, env_infos=env_info, ) self.demo_trajectory_rewards.append(rewards) path = path_builder.get_all_stacked() replay_buffer.add_path(path) print("rewards", np.min(rewards), np.max(rewards)) print("loading path, length", len(path["observations"]), len(path["actions"])) print("actions", np.min(path["actions"]), np.max(path["actions"])) print("path sum rewards", sum(rewards), len(rewards))

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null

0

7

f097efe23e1c24c07bb3add977603ab04023f660

5,522

py

Python

printacc/accounts/models.py

rozumalex/printacc

419f080ce91a737077c0b3d1e98f961fc41e2850

[ "MIT" ]

null

printacc/accounts/models.py

rozumalex/printacc

419f080ce91a737077c0b3d1e98f961fc41e2850

[ "MIT" ]

null

printacc/accounts/models.py

rozumalex/printacc

419f080ce91a737077c0b3d1e98f961fc41e2850

[ "MIT" ]

1

2021-04-08T04:31:19.000Z

from django.db import models from django.utils import timezone from django.contrib.auth.models import AbstractUser from .managers import AccountManager class Account(AbstractUser): objects = AccountManager() is_admin = models.BooleanField(default=False, verbose_name='Admin') is_dealer = models.BooleanField(default=False, verbose_name='Dealer') def last_used_time(self): return 'n/a' def total_usages(self): return 'n/a' def daily_usage(self): return 'n/a' def usages_for_last_week(self): return 'n/a' class Meta: ordering = ['username'] unique_together = ('email',) class User(Account): class Meta: proxy = True def last_used_time(self): last_usage = self.statistics_set.filter( user=self.id).order_by('-date_used').first() if not last_usage: return 'never' return self.statistics_set.filter( user=self.id).order_by('-date_used').first() def total_usages(self): return self.statistics_set.filter( user=self.id).all().count() def daily_usage(self): delta = timezone.now() - self.date_joined + timezone.timedelta(days=1) return int(self.total_usages() / delta.days) def usages_for_last_week(self): period = timezone.now() - timezone.timedelta(days=7) return self.statistics_set.filter(user=self.id, date_used__gte=period).count() class Dealer(Account): class Meta: proxy = True def last_used_time(self): return self.statistics_set.filter( plotter__dealer__id=self.id).order_by('-date_used').first() def total_usages(self): return self.statistics_set.filter( plotter__dealer__id=self.id).count() def daily_usage(self): delta = timezone.now() - self.date_joined + timezone.timedelta(days=1) return int(self.total_usages() / delta.days) def usages_for_last_week(self): period = timezone.now() - timezone.timedelta(days=7) return self.statistics_set.filter(plotter__dealer__id=self.id, date_used__gte=period).count() class Plotter(models.Model): dealer = models.ForeignKey(Dealer, on_delete=models.CASCADE, related_name='owner') model = models.CharField(max_length=255) description = models.CharField(max_length=255) date_added = models.DateTimeField(default=timezone.now) users = models.ManyToManyField(User, blank=True) def last_used_time(self): return self.statistics_set.filter( plotter=self.id).order_by('-date_used').first() def total_usages(self): return self.statistics_set.filter( plotter=self.id).all().count() def daily_usage(self): delta = timezone.now() - self.date_added + timezone.timedelta(days=1) return int(self.total_usages() / delta.days) def usages_for_last_week(self): period = timezone.now() - timezone.timedelta(days=7) return self.statistics_set.filter(plotter__id=self.id, date_used__gte=period).count() def dealers_email(self): return self.dealer.email def __str__(self): return self.model class Pattern(models.Model): name = models.CharField(max_length=255) plotter = models.ForeignKey(Plotter, on_delete=models.CASCADE) description = models.CharField(max_length=255) date_added = models.DateTimeField(default=timezone.now) def last_used_time(self): return self.statistics_set.filter( pattern=self.id).order_by('-date_used').first() def total_usages(self): return self.statistics_set.filter(pattern=self.id).all().count() def daily_usage(self): delta = timezone.now() - self.date_added + timezone.timedelta(days=1) return int(self.total_usages() / delta.days) def usages_for_last_week(self): period = timezone.now() - timezone.timedelta(days=7) return self.statistics_set.filter(pattern__id=self.id, date_used__gte=period).count() def __str__(self): return self.name class Clients(models.Model): user = models.ForeignKey(User, on_delete=models.CASCADE) dealer = models.ForeignKey(Dealer, on_delete=models.CASCADE, related_name='dealer') limit = models.IntegerField() def last_used_time(self): return self.statistics_set.filter( plotter=self.id).order_by('-date_used').first() def total_usages(self): return self.statistics_set.filter( plotter=self.id).all().count() def daily_usage(self): delta = timezone.now() - self.date_joined return self.total_usages() / delta.days() def usages_in_period(self, days): period = timezone.now() - timezone.timedelta(days=days) return self.statistics_set.filter(user=self.id, date_used__gte=period) class Admin(Account): is_admin = True is_dealer = False class Meta: proxy = True class Statistics(models.Model): plotter = models.ForeignKey(Plotter, on_delete=models.CASCADE) user = models.ForeignKey(User, on_delete=models.CASCADE) pattern = models.ForeignKey(Pattern, on_delete=models.CASCADE) date_used = models.DateTimeField(default=timezone.now)

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null

0

1

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1

0

7

f099a93691f9c459d75553970d0bfda3051f9e34

10,915

py

Python

tests/test_exclusions.py

zreichert/pytest_mark_checker

990a579635b3ba394a9780f6ab934e4983b00ef1

[ "Apache-2.0" ]

null

tests/test_exclusions.py

zreichert/pytest_mark_checker

990a579635b3ba394a9780f6ab934e4983b00ef1

[ "Apache-2.0" ]

6

2018-04-24T14:00:08.000Z

2018-09-14T15:06:13.000Z

tests/test_exclusions.py

zreichert/pytest_mark_checker

990a579635b3ba394a9780f6ab934e4983b00ef1

[ "Apache-2.0" ]

1

2018-04-26T15:51:00.000Z

# -*- coding: utf-8 -*- """Tests for validating rules processing exclusions for test methods and functions. (Driven by the 'exclude_methods' and 'exclude_functions' options.) """ # ====================================================================================================================== # Imports # ====================================================================================================================== import pytest # ====================================================================================================================== # Globals # ====================================================================================================================== # args to only use checks that raise an 'M' prefixed error extra_args = ['--select', 'M'] # ====================================================================================================================== # Test Suites # ====================================================================================================================== class TestExcludeClasses(object): """Tests for validating the 'exclude_classes' option works as expected.""" # Test suite variables config = """ [flake8] pytest_mark1 = name=test,exclude_classes=true """ def test_enable_exclude_classes_configuration(self, flake8dir): """Verify rules that explicitly enable the 'exclude_classes' configuration will ignore classes that are missing required marks. """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" class TestDisabledConfiguration(object): pass """) # Test result = flake8dir.run_flake8(extra_args) assert [] == result.out_lines def test_enabled_with_class_containing_tests(self, flake8dir): """Verify rules that explicitly enable the 'exclude_classes' configuration will ignore classes that are missing required marks, but will still trigger violations on test functions contained within the class. """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" class TestUnconfigured(object): def test_function(self): pass """) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:2:1: M501 test definition not marked with test'] == result.out_lines def test_unconfigured_with_class_containing_tests(self, flake8dir): """Verify rules that leave the 'exclude_classes' option unconfigured will trigger violations on test functions contained within the class as well as the class itself. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test """) flake8dir.make_example_py(""" class TestUnconfigured(object): def test_function(self): pass """) # Expectations exp_out_lines = ['./example.py:1:1: M501 test definition not marked with test', './example.py:2:1: M501 test definition not marked with test'] # Test result = flake8dir.run_flake8(extra_args) # noinspection PyUnresolvedReferences pytest.helpers.assert_lines(exp_out_lines, result.out_lines) class TestExcludeFunctions(object): """Tests for validating the 'exclude_functions' option works as expected.""" # Test suite variables config = """ [flake8] pytest_mark1 = name=test,exclude_functions=true """ def test_enable_exclude_functions_configuration(self, flake8dir): """Verify that a violation is not triggered on a function that is missing a required mark with the 'exclude_functions' option set to 'true'. """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" def test_exclude_function(): pass """) # Test result = flake8dir.run_flake8(extra_args) assert [] == result.out_lines class TestExcludeMethods(object): """Tests for validating the 'exclude_methods' option works as expected.""" # Test suite variables config = """ [flake8] pytest_mark1 = name=test,exclude_methods=true """ def test_enable_exclude_methods_configuration(self, flake8dir): """Verify that a violation is not triggered on a method that is missing a required mark with the 'exclude_methods' option set to 'true'. """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" class TestExclusion(object): def test_exclude_method(self): pass """) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:1:1: M501 test definition not marked with test'] == result.out_lines def test_exclude_method_with_class_properly_marked(self, flake8dir): """Verify that a violation is not triggered on a method that is missing a required mark with the 'exclude_methods' option set to 'true'. """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" @pytest.mark.test('Classy!') class TestExclusion(object): def test_exclude_method(self): pass """) # Test result = flake8dir.run_flake8(extra_args) assert [] == result.out_lines def test_mangled_method_signature(self, flake8dir): """Verify that a violation is triggered on a method that is missing a required mark with the 'exclude_methods' option set to 'true' and the signature is mangled. (First element is not 'self') """ # Setup flake8dir.make_setup_cfg(self.config) flake8dir.make_example_py(""" @pytest.mark.test('Classy!') class TestExclusion(object): def test_exclude_method(me): pass """) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:3:1: M501 test definition not marked with test'] == result.out_lines class TestMixedExclusions(object): """Tests for validating that the various 'exclude_*' options can be combined in different fashions without causing surprising behavior. """ example_tests = """ class TestClass(object): def test_method(self): pass def test_function(): pass """ def test_no_exclusions_configured(self, flake8dir): """Verify that violations are triggered on all supported test definition types when no exclusions are configured and all test definitions are missing required marks. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test """) flake8dir.make_example_py(self.example_tests) # Expectations exp_out_lines = ['./example.py:1:1: M501 test definition not marked with test', './example.py:2:1: M501 test definition not marked with test', './example.py:5:1: M501 test definition not marked with test'] # Test result = flake8dir.run_flake8(extra_args) # noinspection PyUnresolvedReferences pytest.helpers.assert_lines(exp_out_lines, result.out_lines) def test_all_exclusions_configured(self, flake8dir): """Verify that no violations are triggered on all supported test definition types when all exclusions are configured and all test definitions are missing required marks. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test, exclude_classes=true, exclude_methods=true, exclude_functions=true """) flake8dir.make_example_py(self.example_tests) # Test result = flake8dir.run_flake8(extra_args) assert [] == result.out_lines def test_classes_and_methods_excluded(self, flake8dir): """Verify that only test function definition violations are triggered when 'exclude_classes' and 'exclude_methods' are configured and all test definitions are missing required marks. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test, exclude_classes=true, exclude_methods=true, exclude_functions=false """) flake8dir.make_example_py(self.example_tests) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:5:1: M501 test definition not marked with test'] == result.out_lines def test_classes_and_methods_excluded_functions_take_args(self, flake8dir): """Verify that two test function definition violations are triggered when 'exclude_classes' and 'exclude_methods' are configured and all test definitions are missing required marks. One function has two args and one takes no args. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test, exclude_classes=true, exclude_methods=true, exclude_functions=false """) flake8dir.make_example_py(""" class TestClass(object): def test_method(self): pass def test_function_with_args(fixture_one, fixture_two): pass def test_function_without_args(): pass """) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:5:1: M501 test definition not marked with test', './example.py:8:1: M501 test definition not marked with test'] == result.out_lines def test_classes_and_functions_excluded(self, flake8dir): """Verify that only test function definition violations are triggered when 'exclude_classes' and 'exclude_functions' are configured and all test definitions are missing required marks. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test, exclude_classes=true, exclude_methods=false, exclude_functions=true """) flake8dir.make_example_py(self.example_tests) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:2:1: M501 test definition not marked with test'] == result.out_lines def test_methods_and_functions_excluded(self, flake8dir): """Verify that only test function definition violations are triggered when 'exclude_methods' and 'exclude_functions' are configured and all test definitions are missing required marks. """ # Setup flake8dir.make_setup_cfg(""" [flake8] pytest_mark1 = name=test, exclude_classes=false, exclude_methods=true, exclude_functions=true """) flake8dir.make_example_py(self.example_tests) # Test result = flake8dir.run_flake8(extra_args) assert ['./example.py:1:1: M501 test definition not marked with test'] == result.out_lines

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1

0

1

0

null

0

1

0

8

f0f21e632729a2193e3acef46ed979a5688547f9

8,326

py

Python

hiddenfigures/tests/stats/dropshot_test.py

millcityrunner/carball

c94cb8caf2f00e616409d2c22b73475e6268fffa

[ "Apache-2.0" ]

null

hiddenfigures/tests/stats/dropshot_test.py

millcityrunner/carball

c94cb8caf2f00e616409d2c22b73475e6268fffa

[ "Apache-2.0" ]

null

hiddenfigures/tests/stats/dropshot_test.py

millcityrunner/carball

c94cb8caf2f00e616409d2c22b73475e6268fffa

[ "Apache-2.0" ]

null

import unittest from hiddenfigures.analysis.analysis_manager import AnalysisManager from hiddenfigures.tests.utils import run_analysis_test_on_replay, get_raw_replays from hiddenfigures.generated.api.stats.dropshot_pb2 import DAMAGED, DESTROYED class Test_Dropshot(): def test_single_damage(self, replay_cache): def test(analysis: AnalysisManager): assertions = unittest.TestCase('__init__') proto_game = analysis.get_protobuf_data() assert proto_game.players[0].stats.dropshot_stats.total_damage == 1 assert proto_game.players[0].stats.dropshot_stats.damage_efficiency == 1.0 assert proto_game.teams[0].stats.dropshot_stats.total_damage == 1 assert proto_game.teams[0].stats.dropshot_stats.damage_efficiency == 1.0 dropshot_ball_proto = proto_game.game_stats.ball_stats.extra_mode assert dropshot_ball_proto.dropshot_phase_stats[0].phase == 0 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].average, 9.508282, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].max, 9.508282, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].total, 9.508282, 5) assert dropshot_ball_proto.dropshot_phase_stats[1].phase == 1 assert dropshot_ball_proto.dropshot_phase_stats[1].average == 0 assert dropshot_ball_proto.dropshot_phase_stats[1].max == 0 assert dropshot_ball_proto.dropshot_phase_stats[1].total == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].phase == 2 assert dropshot_ball_proto.dropshot_phase_stats[2].average == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].max == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].total == 0 game_dropshot_stats = proto_game.game_stats.dropshot_stats assert len(game_dropshot_stats.damage_events) == 1 assert len(game_dropshot_stats.damage_events[0].tiles) == 1 assert game_dropshot_stats.damage_events[0].tiles[0].id == 101 assert game_dropshot_stats.damage_events[0].tiles[0].state == DAMAGED run_analysis_test_on_replay(test, get_raw_replays()["DROPSHOT_SINGLE_DAMAGE"], cache=replay_cache) def test_double_damage(self, replay_cache): def test(analysis: AnalysisManager): proto_game = analysis.get_protobuf_data() assertions = unittest.TestCase('__init__') assert proto_game.players[0].stats.dropshot_stats.total_damage == 3 assert proto_game.players[0].stats.dropshot_stats.damage_efficiency == 1.0 assert proto_game.teams[1].stats.dropshot_stats.total_damage == 3 assert proto_game.teams[1].stats.dropshot_stats.damage_efficiency == 1.0 dropshot_ball_proto = proto_game.game_stats.ball_stats.extra_mode assert dropshot_ball_proto.dropshot_phase_stats[0].phase == 0 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].average, 10.189136, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].max, 10.189136, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].total, 10.189136, 5) assert dropshot_ball_proto.dropshot_phase_stats[1].phase == 1 assert dropshot_ball_proto.dropshot_phase_stats[1].average == 0 assert dropshot_ball_proto.dropshot_phase_stats[1].max == 0 assert dropshot_ball_proto.dropshot_phase_stats[1].total == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].phase == 2 assert dropshot_ball_proto.dropshot_phase_stats[2].average == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].max == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].total == 0 game_dropshot_stats = proto_game.game_stats.dropshot_stats assert len(game_dropshot_stats.damage_events) == 3 assert game_dropshot_stats.damage_events[0].tiles[0].state == DAMAGED assert game_dropshot_stats.damage_events[1].tiles[0].state == DESTROYED assert len(game_dropshot_stats.tile_stats.damage_stats) == 2 assert game_dropshot_stats.tile_stats.damage_stats[0].total_damage == 2 run_analysis_test_on_replay(test, get_raw_replays()["DROPSHOT_DOUBLE_DAMAGE"], cache=replay_cache) def test_phase1_ball(self, replay_cache): def test(analysis: AnalysisManager): proto_game = analysis.get_protobuf_data() assertions = unittest.TestCase('__init__') dropshot_ball_proto = proto_game.game_stats.ball_stats.extra_mode assert dropshot_ball_proto.dropshot_phase_stats[0].phase == 0 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].average, 3.72452275, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].max, 6.9999535, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].total, 7.4490455, 5) assert dropshot_ball_proto.dropshot_phase_stats[1].phase == 1 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].average, 0.1, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].max, 0.1, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].total, 0.1, 5) assert dropshot_ball_proto.dropshot_phase_stats[2].phase == 2 assert dropshot_ball_proto.dropshot_phase_stats[2].average == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].max == 0 assert dropshot_ball_proto.dropshot_phase_stats[2].total == 0 game_dropshot_stats = proto_game.game_stats.dropshot_stats assert len(game_dropshot_stats.damage_events[0].tiles) == 7 run_analysis_test_on_replay(test, get_raw_replays()["DROPSHOT_PHASE1_BALL"], cache=replay_cache) def test_phase2_ball(self, replay_cache): def test(analysis: AnalysisManager): proto_game = analysis.get_protobuf_data() assertions = unittest.TestCase('__init__') dropshot_ball_proto = proto_game.game_stats.ball_stats.extra_mode assert dropshot_ball_proto.dropshot_phase_stats[0].phase == 0 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].average, 7.12466465, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].max, 12.1493613, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[0].total, 14.2493293, 5) assert dropshot_ball_proto.dropshot_phase_stats[1].phase == 1 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].average, 19.000713, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].max, 19.000713, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[1].total, 19.000713, 5) assert dropshot_ball_proto.dropshot_phase_stats[2].phase == 2 assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[2].average, 4.901173, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[2].max, 4.901173, 5) assertions.assertAlmostEqual(dropshot_ball_proto.dropshot_phase_stats[2].total, 4.901173, 5) game_dropshot_stats = proto_game.game_stats.dropshot_stats assert len(game_dropshot_stats.damage_events[0].tiles) == 12 run_analysis_test_on_replay(test, get_raw_replays()["DROPSHOT_PHASE2_BALL"], cache=replay_cache) def test_goal(self, replay_cache): def test(analysis: AnalysisManager): proto_game = analysis.get_protobuf_data() assert proto_game.game_metadata.goals[0].extra_mode_info.dropshot_tile.id == 89 assert proto_game.game_metadata.goals[0].extra_mode_info.phase_1_tiles == 0 assert proto_game.game_metadata.goals[0].extra_mode_info.phase_2_tiles == 1 run_analysis_test_on_replay(test, get_raw_replays()["DROPSHOT_GOAL"], cache=replay_cache)

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false

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0

1

0

null

0

1

0

9

50077d2b9c95c392a29e8c3a8da944c166fcc7ba

3,574

py

Python

users/forms.py

omzi/django-blog

560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7

[ "MIT" ]

1

2021-05-05T13:57:36.000Z

users/forms.py

omzi/django-blog

560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7

[ "MIT" ]

null

users/forms.py

omzi/django-blog

560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7

[ "MIT" ]

null

from django.contrib.auth.forms import UserCreationForm, UserChangeForm, PasswordChangeForm, PasswordResetForm from django.contrib.auth.models import User from django import forms from django.core.exceptions import ValidationError class RegistrationForm(UserCreationForm): username = forms.CharField(label='Username', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter A Username'})) email = forms.EmailField(label='Email Address', widget=forms.EmailInput(attrs={'placeholder': 'Enter Your Email Address'})) first_name = forms.CharField(label='First Name', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter Your First Name'})) last_name = forms.CharField(label='Last Name', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter Your Last Name'})) password1 = forms.CharField(label='Password', widget=forms.PasswordInput(attrs={'placeholder': 'Enter Your Password'})) password2 = forms.CharField(label='Confirm Password', widget=forms.PasswordInput(attrs={'placeholder': 'Confirm Your Password'})) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.fields['username'].widget.attrs.update({'autofocus': False}) class Meta: model = User fields = ('username', 'email', 'first_name', 'last_name', 'password1', 'password2') class UserEditForm(UserChangeForm): username = forms.CharField(label='Username', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter A Username', 'class': 'input-form trans-bg'})) email = forms.EmailField(label='Email Address', widget=forms.EmailInput(attrs={'placeholder': 'Enter Your Email Address', 'class': 'input-form trans-bg'})) first_name = forms.CharField(label='First Name', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter Your First Name', 'class': 'input-form trans-bg'})) last_name = forms.CharField(label='Last Name', min_length=4, max_length=100, widget=forms.TextInput(attrs={'placeholder': 'Enter Your Last Name', 'class': 'input-form trans-bg'})) class Meta: model = User fields = ('username', 'email', 'first_name', 'last_name') def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) del self.fields['password'] class PasswordChangeUserForm(PasswordChangeForm): old_password = forms.CharField(label='Old Password', widget=forms.PasswordInput(attrs={'placeholder': 'Enter Your Password'})) new_password1 = forms.CharField(label='New Password', widget=forms.PasswordInput(attrs={'placeholder': 'Enter Your New Password'})) new_password2 = forms.CharField(label='Confirm Password', widget=forms.PasswordInput(attrs={'placeholder': 'Confirm Your New Password'})) class Meta: model = User fields = ('old_password', 'new_password1', 'new_password2') class PasswordResetUserForm(PasswordResetForm): email = forms.EmailField(label='Email Address', widget=forms.EmailInput(attrs={'placeholder': 'Enter Your Email Address'})) class Meta: model = User fields = ('email') class PasswordConfirmUserForm(PasswordResetForm): new_password1 = forms.CharField(label='New Password', widget=forms.PasswordInput(attrs={'placeholder': 'Enter Your New Password'})) new_password2 = forms.CharField(label='Confirm Password', widget=forms.PasswordInput(attrs={'placeholder': 'Confirm Your New Password'})) class Meta: model = User fields = ('email')

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502a9d053857ba0e436d96a3af14b408438af774

10,095

py

Python

octopus/modules/es/tests/unit/test_sanitisation.py

richard-jones/magnificent-octopus

4a65f5a3e919af61887302d2911849233347f18f

[ "Apache-2.0" ]

2

2016-02-22T04:31:30.000Z

2021-08-03T23:58:36.000Z

octopus/modules/es/tests/unit/test_sanitisation.py

richard-jones/magnificent-octopus

4a65f5a3e919af61887302d2911849233347f18f

[ "Apache-2.0" ]

9

2015-01-04T14:00:05.000Z

2021-12-13T19:35:07.000Z

octopus/modules/es/tests/unit/test_sanitisation.py

richard-jones/magnificent-octopus

4a65f5a3e919af61887302d2911849233347f18f

[ "Apache-2.0" ]

3

2016-09-09T13:39:45.000Z

2018-02-19T14:23:12.000Z

from unittest import TestCase from octopus.modules.es import sanitise class TestModels(TestCase): def setUp(self): super(TestModels, self).setUp() def tearDown(self): super(TestModels, self).tearDown() def test_01_basic_success(self): query = { "query" : {"match_all" : {}}, "size" : 10, "from" : 9 } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) assert sane == query def test_02_no_query(self): query = { "size" : 10, "from" : 9 } with self.assertRaises(sanitise.QuerySanitisationException): sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) def test_03_disallowed_fields(self): query = { "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "random" : "field", "aggs" : {}, # without the type_field_map this should be stripped out "sort" : [] # without the type_field_map this should be stripped out } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) expected = { "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9 } assert sane == expected def test_04_aggregations_success(self): query = { "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "aggs" : { "first" : { "terms" : {"field" : "aaaa"} }, "second" : { "terms" : {"field" : "bbbb"}, "aggs" : { "aleph" : { "date_histogram" : {"field" : "dddd"} } } }, "third" : { "date_histogram" : {"field" : "cccc"} } } } type_field_map = { "terms" : { "aaaa" : { "aggs" : False }, "bbbb" : { "aggs" : True, "type_field_map" : { "date_histogram" : { "dddd" : { "aggs" : False } } } } }, "date_histogram" : { "cccc" : { "aggs" : False } } } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, aggs_type_field_map=type_field_map) assert sane == query def test_05_aggregations_stripped(self): query = { "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "aggregations" : { "first" : { "terms" : {"field" : "aaaa"}, "aggregations" : { "alpha" : { "date_histogram" : {"field" : "eeee"} } } }, "second" : { "terms" : {"field" : "bbbb"}, "aggregations" : { "aleph" : { "date_histogram" : {"field" : "dddd"} } } }, "third" : { "date_histogram" : {"field" : "cccc"} } } } type_field_map = { "terms" : { "aaaa" : { "aggs" : False }, "bbbb" : { "aggs" : True, "type_field_map" : { "date_histogram" : { "ffff" : { "aggs" : False } } } } } } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, aggs_type_field_map=type_field_map) expected = { "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "aggregations" : { "first" : { "terms" : {"field" : "aaaa"}, }, "second" : { "terms" : {"field" : "bbbb"}, } } } assert sane == expected def test_06_coerce_fail(self): query = { "query" : {"match_all" : {}}, "size" : "ten", "from" : 9 } with self.assertRaises(sanitise.QuerySanitisationException): sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) query = { "query" : {"match_all" : {}}, "size" : 10, "from" : "nine" } with self.assertRaises(sanitise.QuerySanitisationException): sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) def test_07_unfiltered(self): query = { "query" : {"bool" : {"must" : [{"term" : {"index.field" : "one"}}]}}, "size" : "ten", "from" : 9 } with self.assertRaises(sanitise.QuerySanitisationException): sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT) def test_08_sources(self): query = { "source" : { "includes" : ["whatever"] }, "query" : {"match_all" : {}}, "size" : 10, "from" : 9 } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, source_includes=["id", "created_date", "last_updated"]) expected = { "source" : { "includes" : ["id", "created_date", "last_updated"] }, "query" : {"match_all" : {}}, "size" : 10, "from" : 9 } assert sane == expected def test_09_sorting(self): query = { "query" : {"match_all" : {}}, "size" : 10, "from" : 9, "sort" : [ {"one" : {"order" : "asc"}}, {"two" : {"order" : "desc"}}, {"three" : {"order" : "asc"}} ] } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, sortable=["one", "three"]) expected = { "query" : {"match_all" : {}}, "size" : 10, "from" : 9, "sort" : [ {"one" : {"order" : "asc"}}, {"three" : {"order" : "asc"}} ] } assert sane == expected query = { "query" : {"match_all" : {}}, "size" : 10, "from" : 9, "sort" : [ "field", "here" ] } with self.assertRaises(sanitise.QuerySanitisationException): sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, sortable=["field", "here"]) def test_10_all_together(self): query = { "source" : { "includes" : ["whatever"] }, "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "random" : "field", "aggregations" : { "first" : { "terms" : {"field" : "aaaa"}, "aggs" : { "alpha" : { "date_histogram" : {"field" : "eeee"} } } }, "second" : { "terms" : {"field" : "bbbb"}, "aggs" : { "aleph" : { "date_histogram" : {"field" : "dddd"} } } }, "third" : { "date_histogram" : {"field" : "cccc"} } }, "sort" : [ {"one" : {"order" : "asc"}}, {"two" : {"order" : "desc"}}, {"three" : {"order" : "asc"}} ] } type_field_map = { "terms" : { "aaaa" : { "aggs" : False }, "bbbb" : { "aggs" : True, "type_field_map" : { "date_histogram" : { "ffff" : { "aggs" : False } } } } } } sane = sanitise.sanitise(query, sanitise.EDGES_STRUCT, source_includes=["id", "created_date", "last_updated"], sortable=["one", "three"], aggs_type_field_map=type_field_map) expected = { "source" : { "includes" : ["id", "created_date", "last_updated"] }, "query" : {"filtered" : {"filter" : {"terms" : {"index.field" : ["one", "two"]}}}}, "size" : 10, "from" : 9, "aggregations" : { "first" : { "terms" : {"field" : "aaaa"}, }, "second" : { "terms" : {"field" : "bbbb"}, } }, "sort" : [ {"one" : {"order" : "asc"}}, {"three" : {"order" : "asc"}} ] } assert sane == expected

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acc4d4274a16ea826c0dbe038c70d8dc38be764a

350,426

py

Python

lbpketappipig/Data_11_MagUp_lbpketappipig.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

lbpketappipig/Data_11_MagUp_lbpketappipig.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

lbpketappipig/Data_11_MagUp_lbpketappipig.py

Williams224/davinci-scripts

730642d2ff13543eca4073a4ce0932631195de56

[ "MIT" ]

null

#-- GAUDI jobOptions generated on Sun Feb 7 01:33:09 2016 #-- Contains event types : #-- 90000000 - 3886 files - 297532269 events - 4488.35 GBytes #-- Extra information about the data processing phases: #-- Processing Pass Step-127013 #-- StepId : 127013 #-- StepName : Stripping21r1-Merging-DV-v36r1 #-- ApplicationName : DaVinci #-- ApplicationVersion : v36r1 #-- OptionFiles : $APPCONFIGOPTS/Merging/DV-Stripping-Merging.py #-- DDDB : dddb-20130929 #-- CONDDB : cond-20141107 #-- ExtraPackages : AppConfig.v3r203;SQLDDDB.v7r10 #-- Visible : N from Gaudi.Configuration import * from GaudiConf import IOHelper IOHelper('ROOT').inputFiles(['LFN:/lhcb/LHCb/Collision11/BHADRON.MDST/00041838/0000/00041838_00000001_1.bhadron.mdst', 'LFN:/lhcb/LHCb/Collision11/BHADRON.MDST/00041838/0000/00041838_00000020_1.bhadron.mdst', 'LFN:/lhcb/LHCb/Collision11/BHADRON.MDST/00041838/0000/00041838_00000060_1.bhadron.mdst', 'LFN:/lhcb/LHCb/Collision11/BHADRON.MDST/00041838/0000/00041838_00000061_1.bhadron.mdst', 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null

0

1

0

15

acd79e3533bcc4a536c6c3b3257c1d3e5fb2c4e4

437

py

Python

tests/test_context.py

ningyixue/AIPI530_Final_Project

b95353ffd003692a37a59042dfcd744a18b7e802

[ "MIT" ]

565

2020-08-01T02:44:28.000Z

2022-03-30T15:00:54.000Z

tests/test_context.py

ningyixue/AIPI530_Final_Project

b95353ffd003692a37a59042dfcd744a18b7e802

[ "MIT" ]

144

2020-08-01T03:45:10.000Z

2022-03-30T14:51:16.000Z

tests/test_context.py

ningyixue/AIPI530_Final_Project

b95353ffd003692a37a59042dfcd744a18b7e802

[ "MIT" ]

103

2020-08-26T13:27:34.000Z

2022-03-31T12:24:27.000Z

from d3rlpy.context import disable_parallel, get_parallel_flag, parallel def test_parallel(): assert not get_parallel_flag() with parallel(): assert get_parallel_flag() with disable_parallel(): assert not get_parallel_flag() assert get_parallel_flag() assert not get_parallel_flag() with disable_parallel(): assert not get_parallel_flag() assert not get_parallel_flag()

27.3125

72

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54

437

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0.240741

0.305556

0.416667

0.347222

0.715278

0.590278

0.444444

0

0.002967

0.228833

437

15

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null

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4a17ae374709b77704deca0baa98401f9412a475

23,347

py

Python

hdf5index.py

CodingNowNow/jiaoyi

57513f8cf0d282fa70ac9e8e76ff785d7a2a019c

[ "MIT" ]

1

2019-03-22T06:36:56.000Z

hdf5index.py

nvsnvyu/hikyuu

57513f8cf0d282fa70ac9e8e76ff785d7a2a019c

[ "MIT" ]

null

hdf5index.py

nvsnvyu/hikyuu

57513f8cf0d282fa70ac9e8e76ff785d7a2a019c

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf8 -*- # cp936 """ 建立HDF5索引 """ import datetime import tables class IndexRecord(tables.IsDescription): datetime = tables.UInt64Col() #IGNORE:E1101 start = tables.UInt64Col() #IGNORE:E1101 def UpdateWeekIndex(h5file): try: group = h5file.getNode("/","week") except: group = h5file.createGroup("/","week") def getNewDate(olddate): y = olddate/100000000 m = olddate/1000000 - y*100 d = olddate/10000 - (y*10000+m*100) tempdate = datetime.date(y,m,d) tempweekdate = tempdate - datetime.timedelta(tempdate.weekday()) newdate = tempweekdate.year*100000000 + tempweekdate.month*1000000 + tempweekdate.day*10000 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 pre_index_date = getNewDate(int(table[0]['datetime'])) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateMonthIndex(h5file): try: group = h5file.getNode("/","month") except: group = h5file.createGroup("/","month") def getNewDate(olddate): y = olddate/100000000 m = olddate/1000000 - y*100 return(y*100000000 + m*1000000 + 10000) for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateYearIndex(h5file): try: group = h5file.getNode("/","year") except: group = h5file.createGroup("/","year") def getNewDate(olddate): y = olddate/100000000 return(y*100000000 + 1010000) for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateHalfYearIndex(h5file): try: group = h5file.getNode("/","halfyear") except: group = h5file.createGroup("/","halfyear") def getNewDate(olddate): halfyearDict={1:1,2:1,3:1,4:1,5:1,6:1,7:7,8:7,9:7,10:7,11:7,12:7} y = olddate/100000000 m = olddate/1000000 - y*100 return( y*100000000 + halfyearDict[m]*1000000 + 10000 ) for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateQuarterIndex(h5file): try: group = h5file.getNode("/","quarter") except: group = h5file.createGroup("/","quarter") def getNewDate(olddate): quarterDict={1:1,2:1,3:1,4:4,5:4,6:4,7:7,8:7,9:7,10:10,11:10,12:10} y = olddate/100000000 m = olddate/1000000 - y*100 return( y*100000000 + quarterDict[m]*1000000 + 10000 ) for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateDayIndex(h5file): try: group = h5file.getNode("/","day") except: group = h5file.createGroup("/","day") def getNewDate(olddate): newdate = olddate/10000*10000 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateHourIndex(h5file): try: group = h5file.getNode("/","min60") except: group = h5file.createGroup("/","min60") def getNewDate(olddate): min = olddate-olddate/10000*10000 if min<=1030: newdate = olddate/10000*10000 + 1030 elif min<=1130: newdate = olddate/10000*10000 + 1130 elif min<=1400: newdate = olddate/10000*10000 + 1400 else: newdate = olddate/10000*10000 + 1500 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateFifteenMinIndex(h5file): try: group = h5file.getNode("/","min15") except: group = h5file.createGroup("/","min15") def getNewDate(olddate): min = olddate-olddate/10000*10000 if min<=945: newdate = olddate/10000*10000 + 945 elif min<=1000: newdate = olddate/10000*10000 + 1000 elif min<=1015: newdate = olddate/10000*10000 + 1015 elif min<=1030: newdate = olddate/10000*10000 + 1030 elif min<=1045: newdate = olddate/10000*10000 + 1045 elif min<=1100: newdate = olddate/10000*10000 + 1100 elif min<=1115: newdate = olddate/10000*10000 + 1115 elif min<=1130: newdate = olddate/10000*10000 + 1130 elif min<=1315: newdate = olddate/10000*10000 + 1315 elif min<=1330: newdate = olddate/10000*10000 + 1330 elif min<=1345: newdate = olddate/10000*10000 + 1345 elif min<=1400: newdate = olddate/10000*10000 + 1400 elif min<=1415: newdate = olddate/10000*10000 + 1415 elif min<=1430: newdate = olddate/10000*10000 + 1430 elif min<=1445: newdate = olddate/10000*10000 + 1445 else: newdate = olddate/10000*10000 + 1500 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateHalfHourIndex(h5file): try: group = h5file.getNode("/","min30") except: group = h5file.createGroup("/","min30") def getNewDate(olddate): min = olddate-olddate/10000*10000 if min<=1000: newdate = olddate/10000*10000 + 1000 elif min<=1030: newdate = olddate/10000*10000 + 1030 elif min<=1100: newdate = olddate/10000*10000 + 1100 elif min<=1130: newdate = olddate/10000*10000 + 1130 elif min<=1330: newdate = olddate/10000*10000 + 1330 elif min<=1400: newdate = olddate/10000*10000 + 1400 elif min<=1430: newdate = olddate/10000*10000 + 1430 else: newdate = olddate/10000*10000 + 1500 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateFiveMinIndex(h5file): try: group = h5file.getNode("/","min5") except: group = h5file.createGroup("/","min5") def getNewDate(olddate): newdate = olddate/100*100 min = olddate-newdate if min == 0: pass elif min <= 5: newdate += 5 elif min<=10: newdate += 10 elif min<=15: newdate += 15 elif min<=20: newdate += 20 elif min<=25: newdate += 25 elif min<=30: newdate += 30 elif min<=35: newdate += 35 elif min<=40: newdate += 40 elif min<=45: newdate += 45 elif min<=50: newdate += 50 elif min<=55: newdate += 55 else: newdate += 100 return newdate for table in h5file.walkNodes("/data"): if type(table) != tables.table.Table: continue #print table.name try: index_table = h5file.getNode(group,table.name) except: index_table = h5file.createTable(group,table.name, IndexRecord) total = table.nrows if 0 == total: continue index_total = index_table.nrows index_row = index_table.row if index_total: index_last_date = int(index_table[-1]['datetime']) last_date = getNewDate(int(table[-1]['datetime'])) if index_last_date == last_date: continue startix = int(index_table[-1]['start']) pre_index_date = int(index_table[-1]['datetime']) else: startix = 0 date = int(table[0]['datetime']) pre_index_date = getNewDate(date) index_row['datetime'] = pre_index_date index_row['start'] = 0 index_row.append() #week_table.flush() index = startix for row in table[startix:]: date = int(row['datetime']) cur_index_date = getNewDate(date) if cur_index_date != pre_index_date: index_row['datetime'] = cur_index_date index_row['start'] = index index_row.append() pre_index_date = cur_index_date index += 1 index_table.flush() def UpdateDayDataAllIndex(h5file): UpdateWeekIndex(h5file) UpdateMonthIndex(h5file) UpdateQuarterIndex(h5file) UpdateHalfYearIndex(h5file) UpdateYearIndex(h5file) def Update5MinDataAllIndex(h5file): UpdateFifteenMinIndex(h5file) UpdateHalfHourIndex(h5file) UpdateHourIndex(h5file) #UpdateDayIndex(h5file) #UpdateWeekIndex(h5file) #UpdateMonthIndex(h5file) #UpdateQuarterIndex(h5file) #UpdateHalfYearIndex(h5file) #UpdateYearIndex(h5file) def Update1MinDataAllIndex(h5file): UpdateFiveMinIndex(h5file) #UpdateFifteenMinIndex(h5file) #UpdateHalfHourIndex(h5file) #UpdateHourIndex(h5file) #UpdateDayIndex(h5file) #UpdateWeekIndex(h5file) #UpdateMonthIndex(h5file) #UpdateQuarterIndex(h5file) #UpdateHalfYearIndex(h5file) #UpdateYearIndex(h5file) if __name__ == "__main__": import time starttime = time.time() print "\nUpdate SH Day Data index ================> " h5file = tables.openFile('d:/workspace/hikyuu/test/data/sh_day.h5', mode='a', filters=tables.Filters(complevel=9,complib='zlib', shuffle=True)) UpdateDayDataAllIndex(h5file) h5file.close() print "\nUpdate SH 5min Data index ================> " h5file = tables.openFile('d:/workspace/hikyuu/test/data/sh_5min.h5', mode='a', filters=tables.Filters(complevel=9,complib='zlib', shuffle=True)) Update5MinDataAllIndex(h5file) h5file.close() print "\nUpdate SZ Day Data index ================> " h5file = tables.openFile('d:/workspace/hikyuu/test/data/sz_day.h5', mode='a', filters=tables.Filters(complevel=9,complib='zlib', shuffle=True)) UpdateDayDataAllIndex(h5file) h5file.close() print "\nUpdate SZ 5min Data index ================> " h5file = tables.openFile('d:/workspace/hikyuu/test/data/sz_5min.h5', mode='a', filters=tables.Filters(complevel=9,complib='zlib', shuffle=True)) Update5MinDataAllIndex(h5file) h5file.close() endtime = time.time() print "\nTotal time:" print "%.2fs" % (endtime-starttime) print "%.2fm" % ((endtime-starttime)/60)

32.381415

103

0.544524

2,488

23,347

4.937299

0.062701

0.065939

0.048844

0.034191

0.854038

0.826522

0.822208

0.819766

0.811381

0.802752

0

0.070457

0.345269

23,347

720

104

32.426389

0.733155

0.031096

0

0.795222

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0.056319

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0

null

0.001706

0.005119

null

0.011945

0

null

0

1

0

1

0

null

0

1

0

8

c5abdcdf0011c5eff02c7431597d1902c2e051a9

31,060

py

Python

Codigo/Method.py

NicholasAlmeidaPinto/SimuladoresPythonIC

f0e1b072823b89095d8d75b78e6cb09414fc5d76

[ "MIT" ]

null

Codigo/Method.py

NicholasAlmeidaPinto/SimuladoresPythonIC

f0e1b072823b89095d8d75b78e6cb09414fc5d76

[ "MIT" ]

null

Codigo/Method.py

NicholasAlmeidaPinto/SimuladoresPythonIC

f0e1b072823b89095d8d75b78e6cb09414fc5d76

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Oct 9 09:03:01 2017 @author: Nicholas de Almeida Pinto """ #import numpy as np #Function that defines and calculates the TVD's method def First_TVD(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): for i in range(N): for k in range(N): if i == 0: Fax=Sw[i,k,j] Fbx=Sw[i,k,j] elif i == 1: Fax=Sw[i-1,k,j] Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif i == N-1: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j] else: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) if k == 0: Fay=Sw[i,k,j] Fby=Sw[i,k,j] elif k == 1: Fay=Sw[i,k-1,j] Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) elif k == N-1: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j] else: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fx = Safe((Fax**2),(Fax**2 + (miw/mio)*((1-Fax)**2))) - Safe((Fbx**2),(Fbx**2 + (miw/mio)*((1-Fbx)**2))) Fy = Safe((Fay**2),(Fay**2 + (miw/mio)*((1-Fay)**2))) - Safe((Fby**2),(Fby**2 + (miw/mio)*((1-Fby)**2))) Sw[i,k,j+1] = Sw[i,k,j] + ((Fx/deltx) + (Fy/delty))*deltt/porosity[i,k] return Sw #-----------------------------------------------------------------------------# #Function that defines and calculates the TVD's method def TVD(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): """This simulator is different from the previous 'First_TVD' because the is a 'reverse copy' of all the math, this means that, while the for makes the simulator advance from 0 to N, there are the same math doing from N to 0, using the oposite signal inside the index.""" for i in range(N): for k in range(N): if i == 0: Fax=Sw[i,k,j] Fbx=Sw[i,k,j] Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j] elif i == 1: Fax=Sw[i-1,k,j] Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-2: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j] Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-1: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j] Faxn=Sw[i,k,j] Fbxn=Sw[i,k,j] else: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if k == 0: Fay=Sw[i,k,j] Fby=Sw[i,k,j] Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j] elif k == 1: Fay=Sw[i,k-1,j] Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-2: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j] Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-1: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j] Fayn=Sw[i,k,j] Fbyn=Sw[i,k,j] else: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) if i < N-1 and i > 0 and Sw[i,k,j] < Sw[i-1,k,j]: Faxn=0 Fbxn=0 elif i > 0 and i < N-1: Fax=0 Fbx=0 if k < N-1 and k > 0 and Sw[i,k,j] < Sw[i,k-1,j]: Fayn=0 Fbyn=0 elif k > 0 and k < N-1: Fay=0 Fby=0 Fx = Conta(Fax,miw,mio) - Conta(Fbx,miw,mio) + Conta(Faxn,miw,mio) - Conta(Fbxn,miw,mio) Fy = Conta(Fay,miw,mio) - Conta(Fby,miw,mio) + Conta(Fayn,miw,mio) - Conta(Fbyn,miw,mio) Sw[i,k,j+1]=Sw[i,k,j]+((Fx/deltx)+(Fy/delty))*deltt/porosity[i,k] return Sw #-----------------------------------------------------------------------------# def Original_NonStandard(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): import math #uses to calculate exp alpha = 2 phix=(1/(2*alpha))*(1-math.exp(-alpha*deltt/deltx)) phiy=(1/(2*alpha))*(1-math.exp(-alpha*deltt/delty)) for i in range(N): for k in range(N): if i==0: Fax=(Sw[i+1,k,j]**2)/((Sw[i+1,k,j]**2)+(miw/mio)*((1-Sw[i+1,k,j])**2)) Gx=phix*(alpha*(Sw[i+1,k,j]-2*Sw[i,k,j]+Sw[i,k,j])-Fax)*.5/porosity[i,k] elif i==N-1: Fax=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) Gx=phix*(alpha*(Sw[i,k,j]-2*Sw[i,k,j]+Sw[i-1,k,j])+Fax)*.5/porosity[i,k] else: Fax=(Sw[i+1,k,j]**2)/((Sw[i+1,k,j]**2)+(miw/mio)*((1-Sw[i+1,k,j])**2)) Gx=phix*(alpha*(Sw[i+1,k,j]-2*Sw[i,k,j]+Sw[i-1,k,j])-Fax)*.5/porosity[i,k] if k==0: Fay=(Sw[i,k+1,j]**2)/((Sw[i,k+1,j]**2)+(miw/mio)*((1-Sw[i,k+1,j])**2)) Gy=phiy*(alpha*(Sw[i,k+1,j]-2*Sw[i,k,j]+Sw[i,k,j])-Fay)*.5/porosity[i,k] elif k==N-1: Fay=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) Gy=phiy*(alpha*(Sw[i,k,j]-2*Sw[i,k,j]+Sw[i,k-1,j])+Fay)*.5/porosity[i,k] else: Fay=(Sw[i,k+1,j]**2)/((Sw[i,k+1,j]**2)+(miw/mio)*((1-Sw[i,k+1,j])**2)) Gy=phiy*(alpha*(Sw[i,k+1,j]-2*Sw[i,k,j]+Sw[i,k-1,j])-Fay)*.5/porosity[i,k] Sw[i,k,j+1]=Sw[i,k,j]+Gx+Gy return Sw #-----------------------------------------------------------------------------# def NonStandard(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): """This simulator is called NonStandard. The principal changes comparing from TVD: for each value of saturation, is needed the previous and next value, this is easier to do than TVD because only uses one previous or next cell.""" import math #uses to calculate exp alpha = 2 phix=(1/(2*alpha))*(1-math.exp(-alpha*deltt/deltx)) phiy=(1/(2*alpha))*(1-math.exp(-alpha*deltt/delty)) for i in range(N): for k in range(N): if i==0: Fax=(Sw[i+1,k,j]**2)/((Sw[i+1,k,j]**2)+(miw/mio)*((1-Sw[i+1,k,j])**2)) Fbx=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) #Pay attention to lines below with comments, probabily the correct value is 0 Gx=phix*(alpha*(Sw[i+1,k,j]-2*Sw[i,k,j]+Sw[i,k,j])-Fax+Fbx)*.5/porosity[i,k] elif i==N-1: Fax=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) #this one Fbx=(Sw[i-1,k,j]**2)/((Sw[i-1,k,j]**2)+(miw/mio)*((1-Sw[i-1,k,j])**2)) Gx=phix*(alpha*(Sw[i,k,j]-2*Sw[i,k,j]+Sw[i-1,k,j])+Fax-Fbx)*.5/porosity[i,k] else: Fax=(Sw[i+1,k,j]**2)/((Sw[i+1,k,j]**2)+(miw/mio)*((1-Sw[i+1,k,j])**2)) Fbx=(Sw[i-1,k,j]**2)/((Sw[i-1,k,j]**2)+(miw/mio)*((1-Sw[i-1,k,j])**2)) if Sw[i,k,j]>Sw[i+1,k,j]: Gx=phix*(alpha*(Sw[i+1,k,j]-2*Sw[i,k,j]+Sw[i-1,k,j])-Fax+Fbx)*.5/porosity[i,k] else: Gx=phix*(alpha*(Sw[i+1,k,j]-2*Sw[i,k,j]+Sw[i-1,k,j])+Fax-Fbx)*.5/porosity[i,k] if k==0: Fay=(Sw[i,k+1,j]**2)/((Sw[i,k+1,j]**2)+(miw/mio)*((1-Sw[i,k+1,j])**2)) Fby=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) # this one Gy=phiy*(alpha*(Sw[i,k+1,j]-2*Sw[i,k,j]+Sw[i,k,j])-Fay+Fby)*.5/porosity[i,k] elif k==N-1: Fay=(Sw[i,k,j]**2)/((Sw[i,k,j]**2)+(miw/mio)*((1-Sw[i,k,j])**2)) #this one too Fby=(Sw[i,k-1,j]**2)/((Sw[i,k-1,j]**2)+(miw/mio)*((1-Sw[i,k-1,j])**2)) Gy=phiy*(alpha*(Sw[i,k,j]-2*Sw[i,k,j]+Sw[i,k-1,j])+Fay-Fby)*.5/porosity[i,k] else: Fay=(Sw[i,k+1,j]**2)/((Sw[i,k+1,j]**2)+(miw/mio)*((1-Sw[i,k+1,j])**2)) Fby=(Sw[i,k-1,j]**2)/((Sw[i,k-1,j]**2)+(miw/mio)*((1-Sw[i,k-1,j])**2)) if Sw[i,k,j]>Sw[i,k+1,j]: Gy=phiy*(alpha*(Sw[i,k+1,j]-2*Sw[i,k,j]+Sw[i,k-1,j])-Fay+Fby)*.5/porosity[i,k] else: Gy=phiy*(alpha*(Sw[i,k+1,j]-2*Sw[i,k,j]+Sw[i,k-1,j])+Fay-Fby)*.5/porosity[i,k] Sw[i,k,j+1]=Sw[i,k,j]+Gx+Gy return Sw #-----------------------------------------------------------------------------# def Test_New_Simulator(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): Fax = 0. Fbx = 0. Fay = 0. Fby = 0. Faxn = 0. Fbxn = 0. Fayn = 0. Fbyn = 0. Fy = 0. Fx = 0. import math #uses to calculate exp alpha = 2 phix=(1/(2*alpha))*(1-math.exp(-alpha*deltt/deltx)) phiy=(1/(2*alpha))*(1-math.exp(-alpha*deltt/delty)) for i in range(N): for k in range(N): if i == 0: Fax=Sw[i,k,j] Fbx=Sw[i,k,j] Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j] elif i == 1: Fax=Sw[i-1,k,j] Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-2: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j] Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-1: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j] Faxn=Sw[i,k,j] Fbxn=Sw[i,k,j] else: Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if k == 0: Fay=Sw[i,k,j] Fby=Sw[i,k,j] Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j] elif k == 1: Fay=Sw[i,k-1,j] Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-2: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j] Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-1: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j] Fayn=Sw[i,k,j] Fbyn=Sw[i,k,j] else: Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fayn=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) if i < N-1 and i > 0 and Sw[i,k,j] < Sw[i-1,k,j]: Faxn=0 Fbxn=0 elif i > 0 and i < N-1: Fax=0 Fbx=0 if k < N-1 and k > 0 and Sw[i,k,j] < Sw[i,k-1,j]: Fayn=0 Fbyn=0 elif k > 0 and k < N-1: Fay=0 Fby=0 Fx=(Safe((Faxn**2),(Faxn**2+(miw/mio)*((1-Faxn)**2)))-Safe((Fbxn**2),(Fbxn**2+(miw/mio)*((1-Fbxn)**2)))) + (Safe((Fax**2),(Fax**2+(miw/mio)*((1-Fax)**2)))-Safe((Fbx**2),(Fbx**2+(miw/mio)*((1-Fbx)**2)))) Fy=(Safe((Fayn**2),(Fayn**2+(miw/mio)*((1-Fayn)**2)))-Safe((Fbyn**2),(Fbyn**2+(miw/mio)*((1-Fbyn)**2)))) + (Safe((Fay**2),(Fay**2+(miw/mio)*((1-Fay)**2)))-Safe((Fby**2),(Fby**2+(miw/mio)*((1-Fby)**2)))) Sw[i,k,j+1]=Sw[i,k,j]+(phix*Fx+phiy*Fy)/porosity[i,k] return Sw #-----------------------------------------------------------------------------# def NewTVD(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): '''Fa means the water is increasing, Fb means the water is going out ''' for i in range(N): for k in range(N): Fax = 0. Fbx = 0. Faxn = 0. Fbxn = 0. Fay = 0. Fby = 0. Fayn = 0. Fbyn = 0. if i == 0: if Sw[i,k,j]>Sw[i+1,k,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]#0=+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i+1,k,j]: Fax=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == 1: if Sw[i,k,j]>Sw[i+1,k,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i+1,k,j]: Fax=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i-1,k,j]>Sw[i,k,j]: Faxn=Sw[i-1,k,j]#0=+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-1,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i-1,k,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-1: if Sw[i-1,k,j]>Sw[i,k,j]: Faxn=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i-1,k,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]#0=+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif i == N-2: if Sw[i,k,j]>Sw[i+1,k,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i+1,k,j]: Fax=Sw[i+1,k,j]#0=+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+1,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i-1,k,j]>Sw[i,k,j]: Faxn=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i-1,k,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) else: if Sw[i,k,j]>Sw[i+1,k,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i+1,k,j]: Fax=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i-1,k,j]>Sw[i,k,j]: Faxn=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i-1,k,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbxn=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if k == 0: if Sw[i,k,j]>Sw[i,k+1,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fby=Sw[i,k,j]#0=+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k,j],Sw[i,k+1,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i,k+1,j]: Fay=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) elif k == 1: if Sw[i,k,j]>Sw[i,k+1,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i,k+1,j]: Fay=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i,k-1,j]>Sw[i,k,j]: Fayn=Sw[i,k-1,j]#0=+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-1,j],Sw[i,k,j]-Sw[i,k-1,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k-1,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-1: if Sw[i,k-1,j]>Sw[i,k,j]: Fayn=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k-1,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbyn=Sw[i,k,j]#0=+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k,j],Sw[i,k-1,j]-Sw[i,k,j]))) elif k == N-2: if Sw[i,k,j]>Sw[i,k+1,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i,k+1,j]: Fay=Sw[i,k+1,j]#0=+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+1,j],Sw[i,k,j]-Sw[i,k+1,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i,k-1,j]>Sw[i,k,j]: Fayn=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k-1,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) else: if Sw[i,k,j]>Sw[i,k+1,j]: #Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) elif Sw[i,k,j]<Sw[i,k+1,j]: Fay=Sw[i,k+1,j]+.5*(Sw[i,k,j]-Sw[i,k+1,j])*max(0,min(1,Safe(Sw[i,k+1,j]-Sw[i,k+2,j],Sw[i,k,j]-Sw[i,k+1,j]))) #Fbx=Sw[i,k,j]+.5*(Sw[i-1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i+1,k,j],Sw[i-1,k,j]-Sw[i,k,j]))) if Sw[i,k-1,j]>Sw[i,k,j]: Fayn=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) #Fbxn=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) elif Sw[i,k-1,j]<Sw[i,k,j]: #Faxn=Sw[i+1,k,j]+.5*(Sw[i,k,j]-Sw[i+1,k,j])*max(0,min(1,Safe(Sw[i+1,k,j]-Sw[i+2,k,j],Sw[i,k,j]-Sw[i+1,k,j]))) Fbyn=Sw[i,k,j]+.5*(Sw[i,k-1,j]-Sw[i,k,j])*max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k+1,j],Sw[i,k-1,j]-Sw[i,k,j]))) Fx = Conta(Fax,miw,mio) - Conta(Fbx,miw,mio) + Conta(Faxn,miw,mio) - Conta(Fbxn,miw,mio) Fy = Conta(Fay,miw,mio) - Conta(Fby,miw,mio) + Conta(Fayn,miw,mio) - Conta(Fbyn,miw,mio) Sw[i,k,j+1] = Sw[i,k,j] + ((Fx/deltx) + (Fy/delty))*deltt/porosity[i,k] return Sw #-----------------------------------------------------------------------------# def TVD_NonStandard_Not_Both_Directions(Sw,N, mio, miw, j, porosity, deltt, deltx, delty): for i in range(N): for k in range(N): Nax,Nbx,Nay,Nby = 0,0,0,0; if i == 0: Fax=Sw[i,k,j] Fbx=Sw[i,k,j] elif i == N-1: Nxa=(Sw[i-1,k,j]**2)/((Sw[i-1,k,j]**2)+(miw/mio)*((1-Sw[i-1,k,j])**2)) Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*Nax#max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Fbx=Sw[i,k,j] else: Nax=(Sw[i-1,k,j]**2)/((Sw[i-1,k,j]**2)+(miw/mio)*((1-Sw[i-1,k,j])**2)) Fax=Sw[i-1,k,j]+.5*(Sw[i,k,j]-Sw[i-1,k,j])*Nax#max(0,min(1,Safe(Sw[i-1,k,j]-Sw[i-2,k,j],Sw[i,k,j]-Sw[i-1,k,j]))) Nbx=(Sw[i+1,k,j]**2)/((Sw[i+1,k,j]**2)+(miw/mio)*((1-Sw[i+1,k,j])**2)) Fbx=Sw[i,k,j]+.5*(Sw[i+1,k,j]-Sw[i,k,j])*Nbx#max(0,min(1,Safe(Sw[i,k,j]-Sw[i-1,k,j],Sw[i+1,k,j]-Sw[i,k,j]))) if k == 0: Fay=Sw[i,k,j] Fby=Sw[i,k,j] elif k == N-1: Nay=(Sw[i,k-1,j]**2)/((Sw[i,k-1,j]**2)+(miw/mio)*((1-Sw[i,k-1,j])**2)) Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*Nay#max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Fby=Sw[i,k,j] else: Nay=(Sw[i,k-1,j]**2)/((Sw[i,k-1,j]**2)+(miw/mio)*((1-Sw[i,k-1,j])**2)) Fay=Sw[i,k-1,j]+.5*(Sw[i,k,j]-Sw[i,k-1,j])*Nay#max(0,min(1,Safe(Sw[i,k-1,j]-Sw[i,k-2,j],Sw[i,k,j]-Sw[i,k-1,j]))) Nby=(Sw[i,k+1,j]**2)/((Sw[i,k+1,j]**2)+(miw/mio)*((1-Sw[i,k+1,j])**2)) Fby=Sw[i,k,j]+.5*(Sw[i,k+1,j]-Sw[i,k,j])*Nby#max(0,min(1,Safe(Sw[i,k,j]-Sw[i,k-1,j],Sw[i,k+1,j]-Sw[i,k,j]))) Fx = Safe((Fax**2),(Fax**2 + (miw/mio)*((1-Fax)**2))) - Safe((Fbx**2),(Fbx**2 + (miw/mio)*((1-Fbx)**2))) Fy = Safe((Fay**2),(Fay**2 + (miw/mio)*((1-Fay)**2))) - Safe((Fby**2),(Fby**2 + (miw/mio)*((1-Fby)**2))) Sw[i,k,j+1] = Sw[i,k,j] + ((Fx/deltx) + (Fy/delty))*deltt/porosity[i,k] return Sw #-----------------------------------------------------------------------------# def Conta(F,miw,mio): return Safe((F**2),(F**2 + (miw/mio)*((1-F)**2))) #-----------------------------------------------------------------------------# #Safe division, prevines division by zero def Safe(a,b): if b == 0: return 0 else: return a/b #-----------------------------------------------------------------------------#

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c5e115af3c072382a00c110d88f4fb99ea9de793

146

py

Python

pystellibs/future/__init__.py

lcjohnso/pystellibs

3df5d029df61e5488c5dae3422ec8b616298e85f

[ "MIT" ]

5

2016-10-25T13:37:55.000Z

2020-11-03T09:46:17.000Z

pystellibs/future/__init__.py

lcjohnso/pystellibs

3df5d029df61e5488c5dae3422ec8b616298e85f

[ "MIT" ]

2

2018-06-01T21:50:29.000Z

2019-01-05T21:12:14.000Z

pystellibs/future/__init__.py

lcjohnso/pystellibs

3df5d029df61e5488c5dae3422ec8b616298e85f

[ "MIT" ]

3

2016-10-18T16:52:39.000Z

2019-11-13T20:09:56.000Z

import matplotlib.path if hasattr(matplotlib.path.Path, 'contains_points'): from matplotlib.path import Path else: from .path import Path

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c5ef9b34d2c806413107877160ef807fd5daeb11

5,967

py

Python

construct/lib/binary.py

tmr232/construct

208df16e51f8fc35f5c924a5cabc623eb425bc4e

[ "MIT" ]

2

2016-06-04T16:49:11.000Z

2017-07-21T10:21:12.000Z

construct/lib/binary.py

tmr232/construct

208df16e51f8fc35f5c924a5cabc623eb425bc4e

[ "MIT" ]

1

2019-10-28T16:26:19.000Z

2019-10-28T21:38:18.000Z

construct/lib/binary.py

tmr232/construct

208df16e51f8fc35f5c924a5cabc623eb425bc4e

[ "MIT" ]

2

2016-03-18T04:30:35.000Z

2018-03-28T16:57:43.000Z

import six from construct.lib.py3compat import int2byte if six.PY3: def int_to_bin(number, width = 32): r""" Convert an integer into its binary representation in a bytes object. Width is the amount of bits to generate. If width is larger than the actual amount of bits required to represent number in binary, sign-extension is used. If it's smaller, the representation is trimmed to width bits. Each "bit" is either '\x00' or '\x01'. The MSBit is first. Examples: >>> int_to_bin(19, 5) b'\x01\x00\x00\x01\x01' >>> int_to_bin(19, 8) b'\x00\x00\x00\x01\x00\x00\x01\x01' """ number = int(number) if number < 0: number += 1 << width i = width - 1 bits = bytearray(width) while number and i >= 0: bits[i] = number & 1 number >>= 1 i -= 1 return bytes(bits) # heavily optimized for performance def bin_to_int(bits, signed = False): r""" Logical opposite of int_to_bin. Both '0' and '\x00' are considered zero, and both '1' and '\x01' are considered one. Set sign to True to interpret the number as a 2-s complement signed integer. """ bits = "".join("01"[b & 1] for b in bits) if signed and bits[0] == "1": bits = bits[1:] bias = 1 << len(bits) else: bias = 0 return int(bits, 2) - bias _char_to_bin = [0] * 256 _bin_to_char = {} for i in range(256): ch = int2byte(i) bin = int_to_bin(i, 8) # Populate with for both keys i and ch, to support Python 2 & 3 _char_to_bin[i] = bin _bin_to_char[bin] = ord(ch) def encode_bin(data): """ Create a binary representation of the given b'' object. Assume 8-bit ASCII. Example: >>> encode_bin('ab') b"\x00\x01\x01\x00\x00\x00\x00\x01\x00\x01\x01\x00\x00\x00\x01\x00" """ return six.b("").join(_char_to_bin[int(ch)] for ch in data) def decode_bin(data): if len(data) & 7: raise ValueError("Data length must be a multiple of 8") i = 0 j = 0 l = len(data) // 8 arr = bytearray(l) while j < l: arr[j] = _bin_to_char[data[i:i+8]] i += 8 j += 1 return arr def swap_bytes(bits, bytesize=8): r""" Bits is a b'' object containing a binary representation. Assuming each bytesize bits constitute a bytes, perform a endianness byte swap. Example: >>> swap_bytes(b'00011011', 2) b'11100100' """ i = 0 l = len(bits) output = [six.b("")] * ((l // bytesize) + 1) j = len(output) - 1 while i < l: output[j] = bits[i : i + bytesize] i += bytesize j -= 1 return six.b("").join(output) else: def int_to_bin(number, width = 32): r""" Convert an integer into its binary representation in a bytes object. Width is the amount of bits to generate. If width is larger than the actual amount of bits required to represent number in binary, sign-extension is used. If it's smaller, the representation is trimmed to width bits. Each "bit" is either '\x00' or '\x01'. The MSBit is first. Examples: >>> int_to_bin(19, 5) '\x01\x00\x00\x01\x01' >>> int_to_bin(19, 8) '\x00\x00\x00\x01\x00\x00\x01\x01' """ if number < 0: number += 1 << width i = width - 1 bits = ["\x00"] * width while number and i >= 0: bits[i] = "\x00\x01"[number & 1] number >>= 1 i -= 1 return "".join(bits) # heavily optimized for performance def bin_to_int(bits, signed = False): r""" Logical opposite of int_to_bin. Both '0' and '\x00' are considered zero, and both '1' and '\x01' are considered one. Set sign to True to interpret the number as a 2-s complement signed integer. """ bits = "".join("01"[ord(b) & 1] for b in bits) if signed and bits[0] == "1": bits = bits[1:] bias = 1 << len(bits) else: bias = 0 return int(bits, 2) - bias _char_to_bin = [0] * 256 _bin_to_char = {} for i in range(256): ch = int2byte(i) bin = int_to_bin(i, 8) # Populate with for both keys i and ch, to support Python 2 & 3 _char_to_bin[i] = bin _bin_to_char[bin] = ch def encode_bin(data): """ Create a binary representation of the given b'' object. Assume 8-bit ASCII. Example: >>> encode_bin('ab') b"\x00\x01\x01\x00\x00\x00\x00\x01\x00\x01\x01\x00\x00\x00\x01\x00" """ return "".join(_char_to_bin[ord(ch)] for ch in data) def decode_bin(data): if len(data) & 7: raise ValueError("Data length must be a multiple of 8") i = 0 j = 0 l = len(data) // 8 chars = [""] * l while j < l: chars[j] = _bin_to_char[data[i:i+8]] i += 8 j += 1 return "".join(chars) def swap_bytes(bits, bytesize=8): r""" Bits is a b'' object containing a binary representation. Assuming each bytesize bits constitute a bytes, perform a endianness byte swap. Example: >>> swap_bytes(b'00011011', 2) b'11100100' """ i = 0 l = len(bits) output = [""] * ((l // bytesize) + 1) j = len(output) - 1 while i < l: output[j] = bits[i : i + bytesize] i += bytesize j -= 1 return "".join(output)

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681a6a8f948814dc0845d6f964af7ca6a09490d3

160

py

Python

domain/services/connect.py

Srinjay-hack/Buddy

155b9ba58a20bf043493213dd8349f61012fc480

[ "Apache-2.0" ]

null

domain/services/connect.py

Srinjay-hack/Buddy

155b9ba58a20bf043493213dd8349f61012fc480

[ "Apache-2.0" ]

null

domain/services/connect.py

Srinjay-hack/Buddy

155b9ba58a20bf043493213dd8349f61012fc480

[ "Apache-2.0" ]

null

from domain.models import Caller,Assistant from accounts.models import Caller as ConnectCaller from accounts.models import Assistant as ConnectAssistant

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7

a88124bdd0a8d6d705d0b3e8ff19123ccf577665

550

py

Python

eval_covid19china_timm-regnetx_002_MedianBlur.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid19china_timm-regnetx_002_MedianBlur.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid19china_timm-regnetx_002_MedianBlur.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

import os ls=["python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_0_MedianBlur.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_1_MedianBlur.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_2_MedianBlur.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_3_MedianBlur.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_4_MedianBlur.yml", ] for l in ls: os.system(l)

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null

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1

null

0

9

a8b3ea68d6b426525fb29ef103c406483a9e5e90

18,847

py

Python

tests/test_json.py

atilaneves/reggae-python

6d98e487733dfb2f870296e96ccd12b7f7a4d09a

[ "BSD-3-Clause" ]

null

tests/test_json.py

atilaneves/reggae-python

6d98e487733dfb2f870296e96ccd12b7f7a4d09a

[ "BSD-3-Clause" ]

null

tests/test_json.py

atilaneves/reggae-python

6d98e487733dfb2f870296e96ccd12b7f7a4d09a

[ "BSD-3-Clause" ]

null

from reggae.build import Target, Build, optional from reggae.rules import * # noqa from json import dumps, loads import pytest def test_target(): tgt = Target("foo.d") assert tgt.jsonify() == {"type": "fixed", "command": {}, "outputs": ["foo.d"], "dependencies": {"type": "fixed", "targets": []}, "implicits": {"type": "fixed", "targets": []}} json = dumps(tgt.jsonify()) assert loads(json) == tgt.jsonify() def test_optional_target(): tgt = optional(Target("foo.d")) assert tgt.jsonify() == {"type": "fixed", "command": {}, "outputs": ["foo.d"], "dependencies": {"type": "fixed", "targets": []}, "implicits": {"type": "fixed", "targets": []}, "optional": True} json = dumps(tgt.jsonify()) assert loads(json) == tgt.jsonify() def test_build(): build = Build(Target("foo", "dmd -offoo foo.d", [Target("foo.d")])) assert build.jsonify() == [{"type": "fixed", "command": {"type": "shell", "cmd": "dmd -offoo foo.d"}, "outputs": ["foo"], "dependencies": {"type": "fixed", "targets": [{"type": "fixed", "command": {}, "outputs": ["foo.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": {"type": "fixed", "targets": []}}] json = dumps(build.jsonify()) assert(loads(json) == build.jsonify()) def test_link_foo(): mainObj = Target("main.o", "dmd -I$project/src -c $in -of$out", Target("src/main.d")) assert mainObj.jsonify() == \ {"type": "fixed", "command": {"type": "shell", "cmd": "dmd -I$project/src -c $in -of$out"}, "outputs": ["main.o"], "dependencies": {"type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/main.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}} def test_link_fixed(): mainObj = Target("main.o", "dmd -I$project/src -c $in -of$out", Target("src/main.d")) mathsObj = Target("maths.o", "dmd -c $in -of$out", Target("src/maths.d")) app = link(exe_name="myapp", dependencies=[mainObj, mathsObj], flags="-L-M") bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "dependencies": { "type": "fixed", "targets": [{"type": "fixed", "command": {"type": "shell", "cmd": "dmd -I$project/src -c $in -of$out"}, "outputs": ["main.o"], "dependencies": {"type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/main.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}, {"type": "fixed", "command": {"type": "shell", "cmd": "dmd -c $in -of$out"}, "outputs": ["maths.o"], "dependencies": { "type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/maths.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_link_dynamic(): objs = object_files(flags='-I$project/src', src_dirs=['src']) app = link(exe_name="myapp", dependencies=objs, flags="-L-M") bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_static_lib(): lib = static_library('libstuff.a', flags='-I$project/src', src_dirs=['src']) app = link(exe_name="myapp", dependencies=lib, flags="-L-M") bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "staticLibrary", "name": "libstuff.a", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_scriptlike(): app = scriptlike(src_name='src/main.d', exe_name='leapp', flags='-g', includes=['src']) bld = Build(app) assert bld.jsonify() == \ [{"type": "dynamic", "func": "scriptlike", "src_name": "src/main.d", "exe_name": "leapp", "link_with": {"type": "fixed", "targets": []}, "flags": "-g", "includes": ["src"], "string_imports": []}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_build_two_targets(): objs1 = object_files(flags='-I$project/src', src_dirs=['src']) app1 = link(exe_name="app1", dependencies=objs1, flags="-L-M") objs2 = object_files(flags='-I$project/other', src_dirs=['other', 'yetanother']) app2 = link(exe_name="app2", dependencies=objs2) bld = Build(app1, app2) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["app1"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}, {"type": "fixed", "command": {"type": "link", "flags": ""}, "outputs": ["app2"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["other", "yetanother"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/other", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_object_files_error(): with pytest.raises(TypeError): object_files('') with pytest.raises(TypeError): object_files([], '') with pytest.raises(TypeError): object_files([], [], '') with pytest.raises(TypeError): object_files([], [], [], '') with pytest.raises(TypeError): object_files([], [], [], [], []) with pytest.raises(TypeError): object_files([], [], [], [], '', '') with pytest.raises(TypeError): object_files([], [], [], [], '', [], '') def test_target_concat(): mainObj = Target("main.o", "dmd -I$project/src -c $in -of$out", Target("src/main.d")) mathsObj = Target("maths.o", "dmd -c $in -of$out", Target("src/maths.d")) app = link(exe_name="myapp", dependencies=target_concat(mainObj, mathsObj), flags="-L-M") bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "targetConcat", "dependencies": [ {"type": "fixed", "command": {"type": "shell", "cmd": "dmd -I$project/src -c $in -of$out"}, "outputs": ["main.o"], "dependencies": {"type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/main.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}, {"type": "fixed", "command": {"type": "shell", "cmd": "dmd -c $in -of$out"}, "outputs": ["maths.o"], "dependencies": { "type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/maths.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_link_dynamic_concat(): main_obj = Target("main.o", "dmd -I$project/src -c $in -of$out", Target("src/main.d")) objs = object_files(flags='-I$project/src', src_dirs=['src']) app = link(exe_name="myapp", dependencies=[objs, main_obj], flags="-L-M") bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "implicits": {"type": "fixed", "targets": []}, "dependencies": { "type": "dynamic", "func": "targetConcat", "dependencies": [ {"type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, {"type": "fixed", "command": {"type": "shell", "cmd": "dmd -I$project/src -c $in -of$out"}, "outputs": ["main.o"], "dependencies": {"type": "fixed", "targets": [ {"type": "fixed", "command": {}, "outputs": ["src/main.d"], "dependencies": { "type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}]}, "implicits": { "type": "fixed", "targets": []}}, ] }}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_src_files(): objs = object_files(flags='-g -pg', src_dirs=['src'], src_files=['main.cpp']) app = link(exe_name='myapp', dependencies=objs) bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": ""}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": ['main.cpp'], "exclude_files": [], "flags": "-g -pg", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_list_with_one_item(): objs = object_files(src_dirs=['src']) app = link(exe_name='myapp', dependencies=[objs]) bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": ""}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_mix_dynamic_and_static(): objs = object_files(flags='-I$project/src', src_dirs=['src']) app = Target('app', 'cmd', [objs, Target('libfoo.a')]) bld = Build(app) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "shell", "cmd": "cmd"}, "outputs": ["app"], "implicits": {"type": "fixed", "targets": []}, "dependencies": { "type": "dynamic", "func": "targetConcat", "dependencies": [ {"type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, {"type": "fixed", "command": {}, "outputs": ["libfoo.a"], "dependencies": {"type": "fixed", "targets": []}, "implicits": { "type": "fixed", "targets": []}}, ] }}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify()) def test_executable(): bld = Build(executable(name="myapp", compiler_flags='-I$project/src', src_dirs=['src'], linker_flags='-L-M')) assert bld.jsonify() == \ [{"type": "fixed", "command": {"type": "link", "flags": "-L-M"}, "outputs": ["myapp"], "dependencies": { "type": "dynamic", "func": "objectFiles", "src_dirs": ["src"], "exclude_dirs": [], "src_files": [], "exclude_files": [], "flags": "-I$project/src", "includes": [], "string_imports": []}, "implicits": { "type": "fixed", "targets": []}}] json = dumps(bld.jsonify()) assert(loads(json) == bld.jsonify())

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18,847

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1

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1

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null

0

7

a8b5519df60f2ca13484dd498dc214ede3da8cfb

997

py

Python

run-framework-scidb.py

danutrusu/framework_thesis

be2d6f2484a66d83994baded369bc832b9583563

[ "MIT" ]

null

run-framework-scidb.py

danutrusu/framework_thesis

be2d6f2484a66d83994baded369bc832b9583563

[ "MIT" ]

null

run-framework-scidb.py

danutrusu/framework_thesis

be2d6f2484a66d83994baded369bc832b9583563

[ "MIT" ]

null

import os #os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 100MB -d 1,2,3,4,5 --datatype char") #os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 100MB -d 1,2,3,4,5 --datatype double") #os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 100MB -d 1,2,3,4,5 --datatype int32") os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 1GB -d 1,2,3,4,5 --datatype char") os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 1GB -d 1,2,3,4,5 --datatype double") os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 1GB -d 1,2,3,4,5 --datatype int32")

124.625

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997

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null

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1

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12

a8bf1424fc402737312ac37ee2bc23dcc09c6adb

92

py

Python

base.py

augustinharter/sba

43c08c02fe98a007b9f9dcad53db0c0410bc4f0f

[ "MIT" ]

null

base.py

augustinharter/sba

43c08c02fe98a007b9f9dcad53db0c0410bc4f0f

[ "MIT" ]

null

base.py

augustinharter/sba

43c08c02fe98a007b9f9dcad53db0c0410bc4f0f

[ "MIT" ]

null

import numpy as np import torch as T import torch.nn as nn import torch.nn.functional as F

15.333333

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7

7660919a6a38ad95b8f534eabc8831a9915b5aef

17,575

py

Python

tensorpack/models/l1_norm.py

ToWeRT1An/tensorpack

f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1

[ "Apache-2.0" ]

1

2019-08-26T08:55:43.000Z

tensorpack/models/l1_norm.py

ToWeRT1An/tensorpack

f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1

[ "Apache-2.0" ]

7

2019-12-16T21:58:30.000Z

2022-02-10T00:17:01.000Z

tensorpack/models/l1_norm.py

T1anZhenYu/tensorpack

f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # File: batch_norm.py import re import six import os from ..compat import tfv1 as tf # this should be avoided first in model code from tensorflow.python.training import moving_averages from tensorpack.tfutils.summary import add_moving_summary, add_param_summary,add_tensor_summary from ..tfutils.collection import backup_collection, restore_collection from ..tfutils.common import get_tf_version_tuple from ..tfutils.tower import get_current_tower_context from ..utils import logger from ..utils.argtools import get_data_format from ..utils.develop import log_deprecated from .common import VariableHolder, layer_register from .tflayer import convert_to_tflayer_args, rename_get_variable import numpy as np from tensorflow.python.training.moving_averages import assign_moving_average __all__ = ['L2norm','L1norm','L2norm_quan_train','Myrangenorm','Otherrangenorm'] # decay: being too close to 1 leads to slow start-up. torch use 0.9. # eps: torch: 1e-5. Lasagne: 1e-4 bitG = 8 def nonlin(x): return tf.clip_by_value(x, -2, 2) def quantize(x,k): n = float(2 ** k - 1) @tf.custom_gradient def _quantize(x): return tf.round(x * n) / n, lambda dy: dy return _quantize(x) def quan_(x,max_value): rank = x.get_shape().ndims assert rank is not None maxx = max_value x = x / maxx n = float(2**bitG - 1) x = x * 0.5 + 0.5 + tf.random_uniform( tf.shape(x), minval=-0.5 / n, maxval=0.5 / n) x = tf.clip_by_value(x, 0.0, 1.0) x = quantize(x, bitG) - 0.5 return x * maxx * 2 def quan(x): rank = x.get_shape().ndims assert rank is not None maxx = tf.reduce_max(tf.abs(x), list(range(1, rank)), keep_dims=True) x = x / maxx n = float(2**bitG - 1) x = x * 0.5 + 0.5 + tf.random_uniform( tf.shape(x), minval=-0.5 / n, maxval=0.5 / n) x = tf.clip_by_value(x, 0.0, 1.0) x = quantize(x, bitG) - 0.5 return x * maxx * 2 def near_2(x): def log2(x): numerator = tf.log(x) denominator = tf.log(tf.constant(2, dtype=numerator.dtype)) return numerator / denominator return tf.sign(x)*tf.pow(2,tf.round(log2(tf.abs(x)))) @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def BNN(x, train, eps=1e-05, decay=0.9, affine=True, name=None): with tf.variable_scope(name, default_name='BatchNorm2d'): params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) def mean_var_with_update(): mean, variance_ = tf.nn.moments(x, [0,1,2], name='moments') variance = tf.reduce_sum((x - mean)*near_2((x-mean)),[0,1,2]) with tf.control_dependencies([assign_moving_average(moving_mean, mean, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) x_ = (x-mean)*(1/(tf.sqrt(variance)+eps)) x = x_ * near_2(gamma) #x = tf.nn.batch_normalization(x, mean, variance, beta, gamma, eps) else: x = tf.nn.batch_normalization(x, mean, variance, None, None, eps) return x,gamma,beta,moving_mean,moving_variance,mean,variance @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def Myrangenorm(x, train, eps=1e-05, decay=0.9, affine=True, name=None): with tf.variable_scope(name, default_name='Myrangenorm'): b = tf.shape(x)[0] params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) #c_max = tf.tile(tf.expand_dims(tf.reduce_max(x),0),params_shape) #c_min = tf.tile(tf.expand_dims(tf.reduce_min(x),0),params_shape) c_max = tf.reduce_max(x,[0,1,2]) c_min = tf.reduce_min(x,[0,1,2]) mean_, variance_ = tf.nn.moments(x, [0,1,2], name='moments') my_bm = tf.identity((c_max+c_min)/2,name='my_bm') my_bv = tf.identity((c_max-c_min),name='my_bv') real_bm = tf.identity(mean_,name='real_bm') real_bv = tf.identity(variance_,name='real_bv') add_tensor_summary(my_bm,name='my_bm',types=['mean','histogram','rms']) add_tensor_summary(my_bv,name='my_bv',types=['mean','histogram','rms']) add_tensor_summary(real_bm,name='real_bm',types=['mean','histogram','rms']) add_tensor_summary(real_bv,name='real_bv',types=['mean','histogram','rms']) # diff_bm = tf.identity(((c_max+c_min)/2)-mean_,name='diff_bm') # diff_bv = tf.identity(tf.sqrt(c_max-c_min)-tf.sqrt(variance_),name='diff_bv') # ratio_bm = tf.identity((((c_max+c_min)/2))/mean_,name='ratio_bm') # ratio_bv = tf.identity((c_max-c_min)/tf.sqrt(variance_),name='ratio_bv') # ratio_bv2 = tf.identity(tf.sqrt(c_max-c_min)/tf.sqrt(variance_),name='ratio_bv2') lambda_ = tf.get_variable('lambda_', params_shape, initializer=tf.zeros_initializer) add_tensor_summary(lambda_,name='lambda_',types=['mean','histogram','rms']) def mean_var_with_update(): mean = (c_max+c_min)/2 variance = (c_max-c_min)*(tf.abs(1+lambda_)) #variance = tf.square(c_max-c_min)/(2*tf.math.log(tf.cast(b,dtype=tf.float32))) with tf.control_dependencies([assign_moving_average(moving_mean, mean, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) add_tensor_summary(gamma,name='gamma',types=['mean','histogram','rms']) add_tensor_summary(beta,name='beta',types=['mean','histogram','rms']) x = tf.nn.batch_normalization(x, mean, variance, beta, gamma, eps) return x,gamma,beta,moving_mean,moving_variance,mean,variance else: x = tf.nn.batch_normalization(x, mean, variance, None, None, eps) return x,None,None,moving_mean,moving_variance,mean,variance #return x @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def Otherrangenorm(x, train, eps=1e-05, decay=0.9, affine=True, name=None): with tf.variable_scope(name, default_name='BatchNorm2d'): params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) c_max = tf.reduce_max(x,[0,1,2]) c_min = tf.reduce_min(x,[0,1,2]) def mean_var_with_update(): mean_, variance_ = tf.nn.moments(x, [0,1,2], name='moments') mean = mean_ variance = tf.square(c_max-c_min) with tf.control_dependencies([assign_moving_average(moving_mean, mean_, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean_), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) x = tf.nn.batch_normalization(x, mean, variance, beta, gamma, eps) else: x = tf.nn.batch_normalization(x, mean, variance, None, None, eps) return x @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def L2norm_quan_train(x, train, layer_num,eps=1e-05, decay=0.9, affine=True, name=None): if layer_num == 1: beta_max,gamma_max,variance_max,mean_max = 0.4,1.3,12,8 elif layer_num == 2: beta_max,gamma_max,variance_max,mean_max = 0.6,1.2,18,6 elif layer_num == 3: beta_max,gamma_max,variance_max,mean_max = 0.5,1.1,15,12 elif layer_num == 4: beta_max,gamma_max,variance_max,mean_max = 0.6,1.2,13,6 elif layer_num == 5: beta_max,gamma_max,variance_max,mean_max = 0.5,1.1,12,3 elif layer_num == 6: beta_max,gamma_max,variance_max,mean_max = 0.2,1.5,55,8 with tf.variable_scope(name, default_name='BatchNorm2d'): params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) def mean_var_with_update(): mean, variance = tf.nn.moments(x, [0,1,2], name='moments') mean = quan_(mean,mean_max) variance = quan_(variance,tf.reduce_max(variance)-tf.reduce_min(variance))+eps with tf.control_dependencies([assign_moving_average(moving_mean, mean, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) x = tf.nn.batch_normalization(x, mean,variance, beta,gamma, eps) else: x = tf.nn.batch_normalization(x, mean, variance,None, None, eps) return x @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def L2norm(x, train, eps=1e-05, decay=0.9, affine=True, name=None): with tf.variable_scope(name, default_name='BatchNorm2d'): params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) def mean_var_with_update(): mean, variance = tf.nn.moments(x, [0,1,2], name='moments') with tf.control_dependencies([assign_moving_average(moving_mean, mean, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) x = tf.nn.batch_normalization(x, mean, variance, beta, gamma, eps) else: x = tf.nn.batch_normalization(x, mean, variance, None, None, eps) return x,gamma,beta,moving_mean,moving_variance @layer_register() @convert_to_tflayer_args( args_names=[], name_mapping={ 'use_bias': 'center', 'use_scale': 'scale', 'gamma_init': 'gamma_initializer', 'decay': 'momentum', 'use_local_stat': 'training' }) def L1norm(x, train, eps=1e-05, decay=0.9, affine=True, name=None): def get_l1norm(x,ave): return 4/5*tf.reduce_mean(tf.abs(x-ave),axis=[0,1,2]) with tf.variable_scope(name, default_name='BatchNorm2d'): params_shape = x.get_shape().as_list() params_shape = params_shape[-1:] moving_mean = tf.get_variable('mean', shape=params_shape, initializer=tf.zeros_initializer, trainable=False) moving_variance = tf.get_variable('variance', shape=params_shape, initializer=tf.ones_initializer, trainable=False) def mean_var_with_update(): mean, v_ = tf.nn.moments(x, [0,1,2], name='moments') variance = get_l1norm(x,mean) with tf.control_dependencies([assign_moving_average(moving_mean, mean, decay),#计算滑动平均值 assign_moving_average(moving_variance, variance, decay)]): return tf.identity(mean), tf.identity(variance) if train:#亲测tf.cond的第一个函数不能直接写成ture or false，所以只好用一个很蠢的方法。 xx = tf.constant(3) yy = tf.constant(4) else: xx = tf.constant(4) yy = tf.constant(3) mean, variance = tf.cond(xx<yy, mean_var_with_update, lambda: (moving_mean, moving_variance)) if affine: beta = tf.get_variable('beta', params_shape, initializer=tf.zeros_initializer) gamma = tf.get_variable('gamma', params_shape, initializer=tf.ones_initializer) x = tf.nn.batch_normalization(x, mean, variance, beta, gamma, eps) else: x = tf.nn.batch_normalization(x, mean, variance, None, None, eps) return x,gamma,beta,mean, variance

43.610422

101

0.585092

2,213

17,575

4.416629

0.097153

0.050645

0.033251

0.061387

0.806834

0.796808

0.786577

0.76949

0.754758

0.744117

0

0.01853

0.29377

17,575

403

102

43.610422

0.768933

0.065661

0

0.740525

0

0.061669

0

0.005831

1

0.058309

false

0

0.046647

0.008746

0.166181

0

null

0

1

0

1

0

null

0

7

76711aa5d70435c0a6f5c16daa696c4962327352

552

py

Python

tests/mangle.py

ZYAZP/python2

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

1,062

2015-11-18T01:04:33.000Z

2022-03-29T07:13:30.000Z

tests/mangle.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

26

2015-11-17T06:58:07.000Z

2022-01-15T18:11:16.000Z

tests/mangle.py

ArrowSides/onelinerizer

7dc3b62eff51e1decb4a408122e77630fdc1687d

[ "MIT" ]

100

2015-11-17T09:01:22.000Z

2021-09-12T13:58:28.000Z

__a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c = 0, 1, 2, 3, 4, 5, 6, 7, 8 print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c class A(object): __a = 9 print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c def f(self): print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c class B(object): __b = 10 print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c def f(self): print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c A().f() A().B().f()

34.5

83

0.583333

125

552

1.392

0.16

0.218391

0.206897

0.275862

0.810345

0

0.029557

0.264493

552

15

84

36.8

0.399015

0

0.5

0

null

0

null

0.357143

0

1

null

1

0

1

0

null

0

1

0

12

76901622cb873db301e08d962facfe2ed9177ee7

36,382

py

Python

tool/SoDark.py

MrWhiteSoul/WannaTool

78df7eee605367d04e3e77bfa5865afda680eb4f

[ "MIT" ]

70

2020-04-10T09:50:57.000Z

2022-03-31T23:26:46.000Z

tool/SoDark.py

Acc3ssGr4nt3d/WannaTool

5aba765597f35e221e619c231890fb3af9fc156e

[ "MIT" ]

1

2021-12-12T12:20:17.000Z

2021-12-12T12:22:31.000Z

tool/SoDark.py

Acc3ssGr4nt3d/WannaTool

5aba765597f35e221e619c231890fb3af9fc156e

[ "MIT" ]

19

2020-04-10T06:26:56.000Z

2022-03-20T03:08:54.000Z

import marshal,zlib,base64 exec(marshal.loads(zlib.decompress(base64.b16decode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76cf14cb16153e9545d11e8565f9c2fb268aeaa9

74,534

py

Python

sdk/python/pulumi_alicloud/slb/rule.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/slb/rule.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/slb/rule.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['RuleArgs', 'Rule'] @pulumi.input_type class RuleArgs: def __init__(__self__, *, frontend_port: pulumi.Input[int], load_balancer_id: pulumi.Input[str], server_group_id: pulumi.Input[str], cookie: Optional[pulumi.Input[str]] = None, cookie_timeout: Optional[pulumi.Input[int]] = None, delete_protection_validation: Optional[pulumi.Input[bool]] = None, domain: Optional[pulumi.Input[str]] = None, health_check: Optional[pulumi.Input[str]] = None, health_check_connect_port: Optional[pulumi.Input[int]] = None, health_check_domain: Optional[pulumi.Input[str]] = None, health_check_http_code: Optional[pulumi.Input[str]] = None, health_check_interval: Optional[pulumi.Input[int]] = None, health_check_timeout: Optional[pulumi.Input[int]] = None, health_check_uri: Optional[pulumi.Input[str]] = None, healthy_threshold: Optional[pulumi.Input[int]] = None, listener_sync: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, scheduler: Optional[pulumi.Input[str]] = None, sticky_session: Optional[pulumi.Input[str]] = None, sticky_session_type: Optional[pulumi.Input[str]] = None, unhealthy_threshold: Optional[pulumi.Input[int]] = None, url: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Rule resource. :param pulumi.Input[int] frontend_port: The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. :param pulumi.Input[str] load_balancer_id: The Load Balancer ID which is used to launch the new forwarding rule. :param pulumi.Input[str] server_group_id: ID of a virtual server group that will be forwarded. :param pulumi.Input[str] cookie: The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. :param pulumi.Input[int] cookie_timeout: Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. :param pulumi.Input[bool] delete_protection_validation: Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. :param pulumi.Input[str] domain: Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) :param pulumi.Input[str] health_check: Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[int] health_check_connect_port: Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. :param pulumi.Input[str] health_check_domain: Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. :param pulumi.Input[str] health_check_http_code: Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. :param pulumi.Input[int] health_check_interval: Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. :param pulumi.Input[int] health_check_timeout: Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. :param pulumi.Input[str] health_check_uri: URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. :param pulumi.Input[int] healthy_threshold: Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] listener_sync: Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. :param pulumi.Input[str] name: Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". :param pulumi.Input[str] scheduler: Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] sticky_session: Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] sticky_session_type: Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. :param pulumi.Input[int] unhealthy_threshold: Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] url: Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ pulumi.set(__self__, "frontend_port", frontend_port) pulumi.set(__self__, "load_balancer_id", load_balancer_id) pulumi.set(__self__, "server_group_id", server_group_id) if cookie is not None: pulumi.set(__self__, "cookie", cookie) if cookie_timeout is not None: pulumi.set(__self__, "cookie_timeout", cookie_timeout) if delete_protection_validation is not None: pulumi.set(__self__, "delete_protection_validation", delete_protection_validation) if domain is not None: pulumi.set(__self__, "domain", domain) if health_check is not None: pulumi.set(__self__, "health_check", health_check) if health_check_connect_port is not None: pulumi.set(__self__, "health_check_connect_port", health_check_connect_port) if health_check_domain is not None: pulumi.set(__self__, "health_check_domain", health_check_domain) if health_check_http_code is not None: pulumi.set(__self__, "health_check_http_code", health_check_http_code) if health_check_interval is not None: pulumi.set(__self__, "health_check_interval", health_check_interval) if health_check_timeout is not None: pulumi.set(__self__, "health_check_timeout", health_check_timeout) if health_check_uri is not None: pulumi.set(__self__, "health_check_uri", health_check_uri) if healthy_threshold is not None: pulumi.set(__self__, "healthy_threshold", healthy_threshold) if listener_sync is not None: pulumi.set(__self__, "listener_sync", listener_sync) if name is not None: pulumi.set(__self__, "name", name) if scheduler is not None: pulumi.set(__self__, "scheduler", scheduler) if sticky_session is not None: pulumi.set(__self__, "sticky_session", sticky_session) if sticky_session_type is not None: pulumi.set(__self__, "sticky_session_type", sticky_session_type) if unhealthy_threshold is not None: pulumi.set(__self__, "unhealthy_threshold", unhealthy_threshold) if url is not None: pulumi.set(__self__, "url", url) @property @pulumi.getter(name="frontendPort") def frontend_port(self) -> pulumi.Input[int]: """ The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. """ return pulumi.get(self, "frontend_port") @frontend_port.setter def frontend_port(self, value: pulumi.Input[int]): pulumi.set(self, "frontend_port", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Input[str]: """ The Load Balancer ID which is used to launch the new forwarding rule. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter(name="serverGroupId") def server_group_id(self) -> pulumi.Input[str]: """ ID of a virtual server group that will be forwarded. """ return pulumi.get(self, "server_group_id") @server_group_id.setter def server_group_id(self, value: pulumi.Input[str]): pulumi.set(self, "server_group_id", value) @property @pulumi.getter def cookie(self) -> Optional[pulumi.Input[str]]: """ The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. """ return pulumi.get(self, "cookie") @cookie.setter def cookie(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cookie", value) @property @pulumi.getter(name="cookieTimeout") def cookie_timeout(self) -> Optional[pulumi.Input[int]]: """ Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. """ return pulumi.get(self, "cookie_timeout") @cookie_timeout.setter def cookie_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cookie_timeout", value) @property @pulumi.getter(name="deleteProtectionValidation") def delete_protection_validation(self) -> Optional[pulumi.Input[bool]]: """ Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. """ return pulumi.get(self, "delete_protection_validation") @delete_protection_validation.setter def delete_protection_validation(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_protection_validation", value) @property @pulumi.getter def domain(self) -> Optional[pulumi.Input[str]]: """ Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) """ return pulumi.get(self, "domain") @domain.setter def domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "domain", value) @property @pulumi.getter(name="healthCheck") def health_check(self) -> Optional[pulumi.Input[str]]: """ Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "health_check") @health_check.setter def health_check(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check", value) @property @pulumi.getter(name="healthCheckConnectPort") def health_check_connect_port(self) -> Optional[pulumi.Input[int]]: """ Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. """ return pulumi.get(self, "health_check_connect_port") @health_check_connect_port.setter def health_check_connect_port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_connect_port", value) @property @pulumi.getter(name="healthCheckDomain") def health_check_domain(self) -> Optional[pulumi.Input[str]]: """ Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. """ return pulumi.get(self, "health_check_domain") @health_check_domain.setter def health_check_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_domain", value) @property @pulumi.getter(name="healthCheckHttpCode") def health_check_http_code(self) -> Optional[pulumi.Input[str]]: """ Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. """ return pulumi.get(self, "health_check_http_code") @health_check_http_code.setter def health_check_http_code(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_http_code", value) @property @pulumi.getter(name="healthCheckInterval") def health_check_interval(self) -> Optional[pulumi.Input[int]]: """ Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. """ return pulumi.get(self, "health_check_interval") @health_check_interval.setter def health_check_interval(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_interval", value) @property @pulumi.getter(name="healthCheckTimeout") def health_check_timeout(self) -> Optional[pulumi.Input[int]]: """ Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. """ return pulumi.get(self, "health_check_timeout") @health_check_timeout.setter def health_check_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_timeout", value) @property @pulumi.getter(name="healthCheckUri") def health_check_uri(self) -> Optional[pulumi.Input[str]]: """ URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. """ return pulumi.get(self, "health_check_uri") @health_check_uri.setter def health_check_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_uri", value) @property @pulumi.getter(name="healthyThreshold") def healthy_threshold(self) -> Optional[pulumi.Input[int]]: """ Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "healthy_threshold") @healthy_threshold.setter def healthy_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "healthy_threshold", value) @property @pulumi.getter(name="listenerSync") def listener_sync(self) -> Optional[pulumi.Input[str]]: """ Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. """ return pulumi.get(self, "listener_sync") @listener_sync.setter def listener_sync(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "listener_sync", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def scheduler(self) -> Optional[pulumi.Input[str]]: """ Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "scheduler") @scheduler.setter def scheduler(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scheduler", value) @property @pulumi.getter(name="stickySession") def sticky_session(self) -> Optional[pulumi.Input[str]]: """ Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "sticky_session") @sticky_session.setter def sticky_session(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sticky_session", value) @property @pulumi.getter(name="stickySessionType") def sticky_session_type(self) -> Optional[pulumi.Input[str]]: """ Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. """ return pulumi.get(self, "sticky_session_type") @sticky_session_type.setter def sticky_session_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sticky_session_type", value) @property @pulumi.getter(name="unhealthyThreshold") def unhealthy_threshold(self) -> Optional[pulumi.Input[int]]: """ Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "unhealthy_threshold") @unhealthy_threshold.setter def unhealthy_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "unhealthy_threshold", value) @property @pulumi.getter def url(self) -> Optional[pulumi.Input[str]]: """ Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ return pulumi.get(self, "url") @url.setter def url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "url", value) @pulumi.input_type class _RuleState: def __init__(__self__, *, cookie: Optional[pulumi.Input[str]] = None, cookie_timeout: Optional[pulumi.Input[int]] = None, delete_protection_validation: Optional[pulumi.Input[bool]] = None, domain: Optional[pulumi.Input[str]] = None, frontend_port: Optional[pulumi.Input[int]] = None, health_check: Optional[pulumi.Input[str]] = None, health_check_connect_port: Optional[pulumi.Input[int]] = None, health_check_domain: Optional[pulumi.Input[str]] = None, health_check_http_code: Optional[pulumi.Input[str]] = None, health_check_interval: Optional[pulumi.Input[int]] = None, health_check_timeout: Optional[pulumi.Input[int]] = None, health_check_uri: Optional[pulumi.Input[str]] = None, healthy_threshold: Optional[pulumi.Input[int]] = None, listener_sync: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, scheduler: Optional[pulumi.Input[str]] = None, server_group_id: Optional[pulumi.Input[str]] = None, sticky_session: Optional[pulumi.Input[str]] = None, sticky_session_type: Optional[pulumi.Input[str]] = None, unhealthy_threshold: Optional[pulumi.Input[int]] = None, url: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Rule resources. :param pulumi.Input[str] cookie: The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. :param pulumi.Input[int] cookie_timeout: Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. :param pulumi.Input[bool] delete_protection_validation: Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. :param pulumi.Input[str] domain: Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) :param pulumi.Input[int] frontend_port: The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. :param pulumi.Input[str] health_check: Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[int] health_check_connect_port: Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. :param pulumi.Input[str] health_check_domain: Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. :param pulumi.Input[str] health_check_http_code: Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. :param pulumi.Input[int] health_check_interval: Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. :param pulumi.Input[int] health_check_timeout: Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. :param pulumi.Input[str] health_check_uri: URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. :param pulumi.Input[int] healthy_threshold: Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] listener_sync: Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. :param pulumi.Input[str] load_balancer_id: The Load Balancer ID which is used to launch the new forwarding rule. :param pulumi.Input[str] name: Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". :param pulumi.Input[str] scheduler: Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] server_group_id: ID of a virtual server group that will be forwarded. :param pulumi.Input[str] sticky_session: Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] sticky_session_type: Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. :param pulumi.Input[int] unhealthy_threshold: Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] url: Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ if cookie is not None: pulumi.set(__self__, "cookie", cookie) if cookie_timeout is not None: pulumi.set(__self__, "cookie_timeout", cookie_timeout) if delete_protection_validation is not None: pulumi.set(__self__, "delete_protection_validation", delete_protection_validation) if domain is not None: pulumi.set(__self__, "domain", domain) if frontend_port is not None: pulumi.set(__self__, "frontend_port", frontend_port) if health_check is not None: pulumi.set(__self__, "health_check", health_check) if health_check_connect_port is not None: pulumi.set(__self__, "health_check_connect_port", health_check_connect_port) if health_check_domain is not None: pulumi.set(__self__, "health_check_domain", health_check_domain) if health_check_http_code is not None: pulumi.set(__self__, "health_check_http_code", health_check_http_code) if health_check_interval is not None: pulumi.set(__self__, "health_check_interval", health_check_interval) if health_check_timeout is not None: pulumi.set(__self__, "health_check_timeout", health_check_timeout) if health_check_uri is not None: pulumi.set(__self__, "health_check_uri", health_check_uri) if healthy_threshold is not None: pulumi.set(__self__, "healthy_threshold", healthy_threshold) if listener_sync is not None: pulumi.set(__self__, "listener_sync", listener_sync) if load_balancer_id is not None: pulumi.set(__self__, "load_balancer_id", load_balancer_id) if name is not None: pulumi.set(__self__, "name", name) if scheduler is not None: pulumi.set(__self__, "scheduler", scheduler) if server_group_id is not None: pulumi.set(__self__, "server_group_id", server_group_id) if sticky_session is not None: pulumi.set(__self__, "sticky_session", sticky_session) if sticky_session_type is not None: pulumi.set(__self__, "sticky_session_type", sticky_session_type) if unhealthy_threshold is not None: pulumi.set(__self__, "unhealthy_threshold", unhealthy_threshold) if url is not None: pulumi.set(__self__, "url", url) @property @pulumi.getter def cookie(self) -> Optional[pulumi.Input[str]]: """ The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. """ return pulumi.get(self, "cookie") @cookie.setter def cookie(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cookie", value) @property @pulumi.getter(name="cookieTimeout") def cookie_timeout(self) -> Optional[pulumi.Input[int]]: """ Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. """ return pulumi.get(self, "cookie_timeout") @cookie_timeout.setter def cookie_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cookie_timeout", value) @property @pulumi.getter(name="deleteProtectionValidation") def delete_protection_validation(self) -> Optional[pulumi.Input[bool]]: """ Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. """ return pulumi.get(self, "delete_protection_validation") @delete_protection_validation.setter def delete_protection_validation(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_protection_validation", value) @property @pulumi.getter def domain(self) -> Optional[pulumi.Input[str]]: """ Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) """ return pulumi.get(self, "domain") @domain.setter def domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "domain", value) @property @pulumi.getter(name="frontendPort") def frontend_port(self) -> Optional[pulumi.Input[int]]: """ The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. """ return pulumi.get(self, "frontend_port") @frontend_port.setter def frontend_port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "frontend_port", value) @property @pulumi.getter(name="healthCheck") def health_check(self) -> Optional[pulumi.Input[str]]: """ Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "health_check") @health_check.setter def health_check(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check", value) @property @pulumi.getter(name="healthCheckConnectPort") def health_check_connect_port(self) -> Optional[pulumi.Input[int]]: """ Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. """ return pulumi.get(self, "health_check_connect_port") @health_check_connect_port.setter def health_check_connect_port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_connect_port", value) @property @pulumi.getter(name="healthCheckDomain") def health_check_domain(self) -> Optional[pulumi.Input[str]]: """ Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. """ return pulumi.get(self, "health_check_domain") @health_check_domain.setter def health_check_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_domain", value) @property @pulumi.getter(name="healthCheckHttpCode") def health_check_http_code(self) -> Optional[pulumi.Input[str]]: """ Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. """ return pulumi.get(self, "health_check_http_code") @health_check_http_code.setter def health_check_http_code(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_http_code", value) @property @pulumi.getter(name="healthCheckInterval") def health_check_interval(self) -> Optional[pulumi.Input[int]]: """ Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. """ return pulumi.get(self, "health_check_interval") @health_check_interval.setter def health_check_interval(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_interval", value) @property @pulumi.getter(name="healthCheckTimeout") def health_check_timeout(self) -> Optional[pulumi.Input[int]]: """ Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. """ return pulumi.get(self, "health_check_timeout") @health_check_timeout.setter def health_check_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_timeout", value) @property @pulumi.getter(name="healthCheckUri") def health_check_uri(self) -> Optional[pulumi.Input[str]]: """ URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. """ return pulumi.get(self, "health_check_uri") @health_check_uri.setter def health_check_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_uri", value) @property @pulumi.getter(name="healthyThreshold") def healthy_threshold(self) -> Optional[pulumi.Input[int]]: """ Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "healthy_threshold") @healthy_threshold.setter def healthy_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "healthy_threshold", value) @property @pulumi.getter(name="listenerSync") def listener_sync(self) -> Optional[pulumi.Input[str]]: """ Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. """ return pulumi.get(self, "listener_sync") @listener_sync.setter def listener_sync(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "listener_sync", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> Optional[pulumi.Input[str]]: """ The Load Balancer ID which is used to launch the new forwarding rule. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def scheduler(self) -> Optional[pulumi.Input[str]]: """ Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "scheduler") @scheduler.setter def scheduler(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scheduler", value) @property @pulumi.getter(name="serverGroupId") def server_group_id(self) -> Optional[pulumi.Input[str]]: """ ID of a virtual server group that will be forwarded. """ return pulumi.get(self, "server_group_id") @server_group_id.setter def server_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "server_group_id", value) @property @pulumi.getter(name="stickySession") def sticky_session(self) -> Optional[pulumi.Input[str]]: """ Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "sticky_session") @sticky_session.setter def sticky_session(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sticky_session", value) @property @pulumi.getter(name="stickySessionType") def sticky_session_type(self) -> Optional[pulumi.Input[str]]: """ Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. """ return pulumi.get(self, "sticky_session_type") @sticky_session_type.setter def sticky_session_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "sticky_session_type", value) @property @pulumi.getter(name="unhealthyThreshold") def unhealthy_threshold(self) -> Optional[pulumi.Input[int]]: """ Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "unhealthy_threshold") @unhealthy_threshold.setter def unhealthy_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "unhealthy_threshold", value) @property @pulumi.getter def url(self) -> Optional[pulumi.Input[str]]: """ Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ return pulumi.get(self, "url") @url.setter def url(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "url", value) class Rule(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cookie: Optional[pulumi.Input[str]] = None, cookie_timeout: Optional[pulumi.Input[int]] = None, delete_protection_validation: Optional[pulumi.Input[bool]] = None, domain: Optional[pulumi.Input[str]] = None, frontend_port: Optional[pulumi.Input[int]] = None, health_check: Optional[pulumi.Input[str]] = None, health_check_connect_port: Optional[pulumi.Input[int]] = None, health_check_domain: Optional[pulumi.Input[str]] = None, health_check_http_code: Optional[pulumi.Input[str]] = None, health_check_interval: Optional[pulumi.Input[int]] = None, health_check_timeout: Optional[pulumi.Input[int]] = None, health_check_uri: Optional[pulumi.Input[str]] = None, healthy_threshold: Optional[pulumi.Input[int]] = None, listener_sync: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, scheduler: Optional[pulumi.Input[str]] = None, server_group_id: Optional[pulumi.Input[str]] = None, sticky_session: Optional[pulumi.Input[str]] = None, sticky_session_type: Optional[pulumi.Input[str]] = None, unhealthy_threshold: Optional[pulumi.Input[int]] = None, url: Optional[pulumi.Input[str]] = None, __props__=None): """ A forwarding rule is configured in `HTTP`/`HTTPS` listener and it used to listen a list of backend servers which in one specified virtual backend server group. You can add forwarding rules to a listener to forward requests based on the domain names or the URL in the request. > **NOTE:** One virtual backend server group can be attached in multiple forwarding rules. > **NOTE:** At least one "Domain" or "Url" must be specified when creating a new rule. > **NOTE:** Having the same 'Domain' and 'Url' rule can not be created repeatedly in the one listener. > **NOTE:** Rule only be created in the `HTTP` or `HTTPS` listener. > **NOTE:** Only rule's virtual server group can be modified. ## Import Load balancer forwarding rule can be imported using the id, e.g. ```sh $ pulumi import alicloud:slb/rule:Rule example rule-abc123456 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] cookie: The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. :param pulumi.Input[int] cookie_timeout: Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. :param pulumi.Input[bool] delete_protection_validation: Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. :param pulumi.Input[str] domain: Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) :param pulumi.Input[int] frontend_port: The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. :param pulumi.Input[str] health_check: Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[int] health_check_connect_port: Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. :param pulumi.Input[str] health_check_domain: Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. :param pulumi.Input[str] health_check_http_code: Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. :param pulumi.Input[int] health_check_interval: Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. :param pulumi.Input[int] health_check_timeout: Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. :param pulumi.Input[str] health_check_uri: URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. :param pulumi.Input[int] healthy_threshold: Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] listener_sync: Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. :param pulumi.Input[str] load_balancer_id: The Load Balancer ID which is used to launch the new forwarding rule. :param pulumi.Input[str] name: Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". :param pulumi.Input[str] scheduler: Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] server_group_id: ID of a virtual server group that will be forwarded. :param pulumi.Input[str] sticky_session: Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] sticky_session_type: Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. :param pulumi.Input[int] unhealthy_threshold: Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] url: Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ ... @overload def __init__(__self__, resource_name: str, args: RuleArgs, opts: Optional[pulumi.ResourceOptions] = None): """ A forwarding rule is configured in `HTTP`/`HTTPS` listener and it used to listen a list of backend servers which in one specified virtual backend server group. You can add forwarding rules to a listener to forward requests based on the domain names or the URL in the request. > **NOTE:** One virtual backend server group can be attached in multiple forwarding rules. > **NOTE:** At least one "Domain" or "Url" must be specified when creating a new rule. > **NOTE:** Having the same 'Domain' and 'Url' rule can not be created repeatedly in the one listener. > **NOTE:** Rule only be created in the `HTTP` or `HTTPS` listener. > **NOTE:** Only rule's virtual server group can be modified. ## Import Load balancer forwarding rule can be imported using the id, e.g. ```sh $ pulumi import alicloud:slb/rule:Rule example rule-abc123456 ``` :param str resource_name: The name of the resource. :param RuleArgs 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(RuleArgs, 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, cookie: Optional[pulumi.Input[str]] = None, cookie_timeout: Optional[pulumi.Input[int]] = None, delete_protection_validation: Optional[pulumi.Input[bool]] = None, domain: Optional[pulumi.Input[str]] = None, frontend_port: Optional[pulumi.Input[int]] = None, health_check: Optional[pulumi.Input[str]] = None, health_check_connect_port: Optional[pulumi.Input[int]] = None, health_check_domain: Optional[pulumi.Input[str]] = None, health_check_http_code: Optional[pulumi.Input[str]] = None, health_check_interval: Optional[pulumi.Input[int]] = None, health_check_timeout: Optional[pulumi.Input[int]] = None, health_check_uri: Optional[pulumi.Input[str]] = None, healthy_threshold: Optional[pulumi.Input[int]] = None, listener_sync: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, scheduler: Optional[pulumi.Input[str]] = None, server_group_id: Optional[pulumi.Input[str]] = None, sticky_session: Optional[pulumi.Input[str]] = None, sticky_session_type: Optional[pulumi.Input[str]] = None, unhealthy_threshold: Optional[pulumi.Input[int]] = None, url: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = RuleArgs.__new__(RuleArgs) __props__.__dict__["cookie"] = cookie __props__.__dict__["cookie_timeout"] = cookie_timeout __props__.__dict__["delete_protection_validation"] = delete_protection_validation __props__.__dict__["domain"] = domain if frontend_port is None and not opts.urn: raise TypeError("Missing required property 'frontend_port'") __props__.__dict__["frontend_port"] = frontend_port __props__.__dict__["health_check"] = health_check __props__.__dict__["health_check_connect_port"] = health_check_connect_port __props__.__dict__["health_check_domain"] = health_check_domain __props__.__dict__["health_check_http_code"] = health_check_http_code __props__.__dict__["health_check_interval"] = health_check_interval __props__.__dict__["health_check_timeout"] = health_check_timeout __props__.__dict__["health_check_uri"] = health_check_uri __props__.__dict__["healthy_threshold"] = healthy_threshold __props__.__dict__["listener_sync"] = listener_sync if load_balancer_id is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_id'") __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["name"] = name __props__.__dict__["scheduler"] = scheduler if server_group_id is None and not opts.urn: raise TypeError("Missing required property 'server_group_id'") __props__.__dict__["server_group_id"] = server_group_id __props__.__dict__["sticky_session"] = sticky_session __props__.__dict__["sticky_session_type"] = sticky_session_type __props__.__dict__["unhealthy_threshold"] = unhealthy_threshold __props__.__dict__["url"] = url super(Rule, __self__).__init__( 'alicloud:slb/rule:Rule', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, cookie: Optional[pulumi.Input[str]] = None, cookie_timeout: Optional[pulumi.Input[int]] = None, delete_protection_validation: Optional[pulumi.Input[bool]] = None, domain: Optional[pulumi.Input[str]] = None, frontend_port: Optional[pulumi.Input[int]] = None, health_check: Optional[pulumi.Input[str]] = None, health_check_connect_port: Optional[pulumi.Input[int]] = None, health_check_domain: Optional[pulumi.Input[str]] = None, health_check_http_code: Optional[pulumi.Input[str]] = None, health_check_interval: Optional[pulumi.Input[int]] = None, health_check_timeout: Optional[pulumi.Input[int]] = None, health_check_uri: Optional[pulumi.Input[str]] = None, healthy_threshold: Optional[pulumi.Input[int]] = None, listener_sync: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, scheduler: Optional[pulumi.Input[str]] = None, server_group_id: Optional[pulumi.Input[str]] = None, sticky_session: Optional[pulumi.Input[str]] = None, sticky_session_type: Optional[pulumi.Input[str]] = None, unhealthy_threshold: Optional[pulumi.Input[int]] = None, url: Optional[pulumi.Input[str]] = None) -> 'Rule': """ Get an existing Rule 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] cookie: The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. :param pulumi.Input[int] cookie_timeout: Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. :param pulumi.Input[bool] delete_protection_validation: Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. :param pulumi.Input[str] domain: Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) :param pulumi.Input[int] frontend_port: The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. :param pulumi.Input[str] health_check: Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[int] health_check_connect_port: Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. :param pulumi.Input[str] health_check_domain: Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. :param pulumi.Input[str] health_check_http_code: Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. :param pulumi.Input[int] health_check_interval: Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. :param pulumi.Input[int] health_check_timeout: Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. :param pulumi.Input[str] health_check_uri: URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. :param pulumi.Input[int] healthy_threshold: Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] listener_sync: Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. :param pulumi.Input[str] load_balancer_id: The Load Balancer ID which is used to launch the new forwarding rule. :param pulumi.Input[str] name: Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". :param pulumi.Input[str] scheduler: Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] server_group_id: ID of a virtual server group that will be forwarded. :param pulumi.Input[str] sticky_session: Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. :param pulumi.Input[str] sticky_session_type: Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. :param pulumi.Input[int] unhealthy_threshold: Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. :param pulumi.Input[str] url: Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _RuleState.__new__(_RuleState) __props__.__dict__["cookie"] = cookie __props__.__dict__["cookie_timeout"] = cookie_timeout __props__.__dict__["delete_protection_validation"] = delete_protection_validation __props__.__dict__["domain"] = domain __props__.__dict__["frontend_port"] = frontend_port __props__.__dict__["health_check"] = health_check __props__.__dict__["health_check_connect_port"] = health_check_connect_port __props__.__dict__["health_check_domain"] = health_check_domain __props__.__dict__["health_check_http_code"] = health_check_http_code __props__.__dict__["health_check_interval"] = health_check_interval __props__.__dict__["health_check_timeout"] = health_check_timeout __props__.__dict__["health_check_uri"] = health_check_uri __props__.__dict__["healthy_threshold"] = healthy_threshold __props__.__dict__["listener_sync"] = listener_sync __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["name"] = name __props__.__dict__["scheduler"] = scheduler __props__.__dict__["server_group_id"] = server_group_id __props__.__dict__["sticky_session"] = sticky_session __props__.__dict__["sticky_session_type"] = sticky_session_type __props__.__dict__["unhealthy_threshold"] = unhealthy_threshold __props__.__dict__["url"] = url return Rule(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def cookie(self) -> pulumi.Output[Optional[str]]: """ The cookie configured on the server. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "server". Otherwise, it will be ignored. Valid value：String in line with RFC 2965, with length being 1- 200. It only contains characters such as ASCII codes, English letters and digits instead of the comma, semicolon or spacing, and it cannot start with $. """ return pulumi.get(self, "cookie") @property @pulumi.getter(name="cookieTimeout") def cookie_timeout(self) -> pulumi.Output[Optional[int]]: """ Cookie timeout. It is mandatory when `sticky_session` is "on" and `sticky_session_type` is "insert". Otherwise, it will be ignored. Valid value range: [1-86400] in seconds. """ return pulumi.get(self, "cookie_timeout") @property @pulumi.getter(name="deleteProtectionValidation") def delete_protection_validation(self) -> pulumi.Output[Optional[bool]]: """ Checking DeleteProtection of SLB instance before deleting. If true, this resource will not be deleted when its SLB instance enabled DeleteProtection. Default to false. """ return pulumi.get(self, "delete_protection_validation") @property @pulumi.getter def domain(self) -> pulumi.Output[Optional[str]]: """ Domain name of the forwarding rule. It can contain letters a-z, numbers 0-9, hyphens (-), and periods (.), and wildcard characters. The following two domain name formats are supported: - Standard domain name: www.test.com - Wildcard domain name: *.test.com. wildcard (*) must be the first character in the format of (*.) """ return pulumi.get(self, "domain") @property @pulumi.getter(name="frontendPort") def frontend_port(self) -> pulumi.Output[int]: """ The listener frontend port which is used to launch the new forwarding rule. Valid range: [1-65535]. """ return pulumi.get(self, "frontend_port") @property @pulumi.getter(name="healthCheck") def health_check(self) -> pulumi.Output[Optional[str]]: """ Whether to enable health check. Valid values are`on` and `off`. TCP and UDP listener's HealthCheck is always on, so it will be ignore when launching TCP or UDP listener. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "health_check") @property @pulumi.getter(name="healthCheckConnectPort") def health_check_connect_port(self) -> pulumi.Output[int]: """ Port used for health check. Valid value range: [1-65535]. Default to "None" means the backend server port is used. """ return pulumi.get(self, "health_check_connect_port") @property @pulumi.getter(name="healthCheckDomain") def health_check_domain(self) -> pulumi.Output[Optional[str]]: """ Domain name used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and only characters such as letters, digits, ‘-‘ and ‘.’ are allowed. When it is not set or empty, Server Load Balancer uses the private network IP address of each backend server as Domain used for health check. """ return pulumi.get(self, "health_check_domain") @property @pulumi.getter(name="healthCheckHttpCode") def health_check_http_code(self) -> pulumi.Output[Optional[str]]: """ Regular health check HTTP status code. Multiple codes are segmented by “,”. It is required when `health_check` is on. Default to `http_2xx`. Valid values are: `http_2xx`, `http_3xx`, `http_4xx` and `http_5xx`. """ return pulumi.get(self, "health_check_http_code") @property @pulumi.getter(name="healthCheckInterval") def health_check_interval(self) -> pulumi.Output[Optional[int]]: """ Time interval of health checks. It is required when `health_check` is on. Valid value range: [1-50] in seconds. Default to 2. """ return pulumi.get(self, "health_check_interval") @property @pulumi.getter(name="healthCheckTimeout") def health_check_timeout(self) -> pulumi.Output[Optional[int]]: """ Maximum timeout of each health check response. It is required when `health_check` is on. Valid value range: [1-300] in seconds. Default to 5. Note: If `health_check_timeout` < `health_check_interval`, its will be replaced by `health_check_interval`. """ return pulumi.get(self, "health_check_timeout") @property @pulumi.getter(name="healthCheckUri") def health_check_uri(self) -> pulumi.Output[Optional[str]]: """ URI used for health check. When it used to launch TCP listener, `health_check_type` must be "http". Its length is limited to 1-80 and it must start with /. Only characters such as letters, digits, ‘-’, ‘/’, ‘.’, ‘%’, ‘?’, #’ and ‘&’ are allowed. """ return pulumi.get(self, "health_check_uri") @property @pulumi.getter(name="healthyThreshold") def healthy_threshold(self) -> pulumi.Output[Optional[int]]: """ Threshold determining the result of the health check is success. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "healthy_threshold") @property @pulumi.getter(name="listenerSync") def listener_sync(self) -> pulumi.Output[Optional[str]]: """ Indicates whether a forwarding rule inherits the settings of a health check , session persistence, and scheduling algorithm from a listener. Default to on. """ return pulumi.get(self, "listener_sync") @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Output[str]: """ The Load Balancer ID which is used to launch the new forwarding rule. """ return pulumi.get(self, "load_balancer_id") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the forwarding rule. Our plugin provides a default name: "tf-slb-rule". """ return pulumi.get(self, "name") @property @pulumi.getter def scheduler(self) -> pulumi.Output[Optional[str]]: """ Scheduling algorithm, Valid values are `wrr`, `rr` and `wlc`. Default to "wrr". This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "scheduler") @property @pulumi.getter(name="serverGroupId") def server_group_id(self) -> pulumi.Output[str]: """ ID of a virtual server group that will be forwarded. """ return pulumi.get(self, "server_group_id") @property @pulumi.getter(name="stickySession") def sticky_session(self) -> pulumi.Output[Optional[str]]: """ Whether to enable session persistence, Valid values are `on` and `off`. Default to `off`. This parameter is required and takes effect only when ListenerSync is set to off. """ return pulumi.get(self, "sticky_session") @property @pulumi.getter(name="stickySessionType") def sticky_session_type(self) -> pulumi.Output[Optional[str]]: """ Mode for handling the cookie. If `sticky_session` is "on", it is mandatory. Otherwise, it will be ignored. Valid values are `insert` and `server`. `insert` means it is inserted from Server Load Balancer; `server` means the Server Load Balancer learns from the backend server. """ return pulumi.get(self, "sticky_session_type") @property @pulumi.getter(name="unhealthyThreshold") def unhealthy_threshold(self) -> pulumi.Output[Optional[int]]: """ Threshold determining the result of the health check is fail. It is required when `health_check` is on. Valid value range: [1-10] in seconds. Default to 3. """ return pulumi.get(self, "unhealthy_threshold") @property @pulumi.getter def url(self) -> pulumi.Output[Optional[str]]: """ Domain of the forwarding rule. It must be 2-80 characters in length. Only letters a-z, numbers 0-9, and characters '-' '/' '?' '%' '#' and '&' are allowed. URLs must be started with the character '/', but cannot be '/' alone. """ return pulumi.get(self, "url")

61.905316

409

0.681139

9,924

74,534

4.937727

0.034563

0.08014

0.073283

0.053875

0.968838

0.961981

0.956145

0.9519

0.949022

0.939451

0

0.007572

0.220356

74,534

1,203

410

61.956775

0.835691

0.480667

0

0.876791

1

0

0.114891

0.028695

0

1

0.167622

false

0.001433

0.007163

0

0.275072

0

null

0

1

0

1

0

null

0

8

4f497964a17ba87394cba31ac5cd687e45701a08

301

py

Python

python/list_to_string.py

codevscolor/codevscolor

35ef9042bdc86f45ef87795c35963b75fb64d5d7

[ "Apache-2.0" ]

6

2019-04-26T03:11:54.000Z

2021-05-07T21:48:29.000Z

python/list_to_string.py

akojif/codevscolor

56db3dffeac8f8d76ff8fcf5656770f33765941f

[ "Apache-2.0" ]

null

python/list_to_string.py

akojif/codevscolor

56db3dffeac8f8d76ff8fcf5656770f33765941f

[ "Apache-2.0" ]

26

2019-02-23T14:50:46.000Z

2022-02-04T23:44:24.000Z

#example 1 dummy_list = ["one","two","three","four","five","six"] separator = ' ' result_string = separator.join(dummy_list) print(result_string) #example 2 dummy_list = ["one","two","three","four","five","six"] separator = ',' result_string = separator.join(dummy_list) print(result_string)

15.05

54

0.684385

40

301

4.95

0.4

0.181818

0.121212

0.151515

0.919192

0

0.007491

0.112957

301

19

55

15.842105

0.734082

0.059801

0

0.75

0

0.163701

0

1

0

false

0

0.25

0

null

0

1

0

1

0

null

0

7

4f84d9cf7a96955190402529480de26edd297756

630

py

Python

evaluate.py

zlxy9892/chatbot-retrieval-based-smn

65ae5391f0a01b84f998cbbec1e04eda30ddd569

[ "Apache-2.0" ]

5

2018-09-05T02:52:17.000Z

2021-04-29T01:12:27.000Z

evaluate.py

zlxy9892/chatbot-retrieval-based-smn

65ae5391f0a01b84f998cbbec1e04eda30ddd569

[ "Apache-2.0" ]

1

2020-05-30T13:19:46.000Z

evaluate.py

zlxy9892/chatbot-retrieval-based-smn

65ae5391f0a01b84f998cbbec1e04eda30ddd569

[ "Apache-2.0" ]

null

def ComputeR10_1(scores,labels,count = 10): total = 0 correct = 0 for i in range(len(labels)): if labels[i] == 1: total = total+1 sublist = scores[i:i+count] if max(sublist) == scores[i]: correct = correct + 1 print(float(correct)/ total ) def ComputeR2_1(scores,labels,count = 2): total = 0 correct = 0 for i in range(len(labels)): if labels[i] == 1: total = total+1 sublist = scores[i:i+count] if max(sublist) == scores[i]: correct = correct + 1 print(float(correct)/ total )

30

43

0.520635

82

630

3.97561

0.268293

0.159509

0.171779

0.110429

0.803681

0

0.044335

0.355556

630

21

44

30

0.758621

0

0.9

0

1

0.1

false

0

0.1

0

null

0

1

0

1

0

null

0

7

4f8ecb5d638d88e72dab5dee3cbc82eb0b76e10e

4,875

py

Python

backend/api/schedule/tests/test_schedule_invitation.py

patrick91/pycon

9d7e15f540adcf0eaceb61fdbf67206d6aef73ec

[ "MIT" ]

2

2017-07-18T21:51:25.000Z

2017-12-23T11:08:39.000Z

backend/api/schedule/tests/test_schedule_invitation.py

patrick91/pycon

9d7e15f540adcf0eaceb61fdbf67206d6aef73ec

[ "MIT" ]

23

2017-07-18T20:22:38.000Z

2018-01-05T05:45:15.000Z

backend/api/schedule/tests/test_schedule_invitation.py

patrick91/pycon

9d7e15f540adcf0eaceb61fdbf67206d6aef73ec

[ "MIT" ]

2

2017-07-18T21:27:33.000Z

2017-07-18T22:07:03.000Z

import datetime from pytest import mark from schedule.models import ScheduleItem pytestmark = mark.django_db def test_fetch_an_invitation( submission_factory, graphql_client, user, schedule_item_factory, slot_factory, day_factory, ): graphql_client.force_login(user) submission = submission_factory( speaker_id=user.id, ) schedule_item_factory( status=ScheduleItem.STATUS.confirmed, speaker_invitation_notes="notes", submission=submission, type=ScheduleItem.TYPES.submission, conference=submission.conference, slot=slot_factory( day=day_factory( day=datetime.date(2020, 10, 10), conference=submission.conference ), hour=datetime.time(10, 10, 0), duration=30, ), ) response = graphql_client.query( """query($submissionId: ID!) { scheduleInvitation(submissionId: $submissionId) { option notes dates { start end } } }""", variables={"submissionId": submission.hashid}, ) assert not response.get("errors") assert response["data"]["scheduleInvitation"] == { "option": "CONFIRM", "notes": "notes", "dates": [{"start": "2020-10-10T10:10:00", "end": "2020-10-10T10:40:00"}], } def test_random_user_cannot_fetch_the_invite( submission_factory, graphql_client, user, schedule_item_factory, slot_factory, day_factory, ): graphql_client.force_login(user) submission = submission_factory( speaker_id=50000, ) schedule_item_factory( status=ScheduleItem.STATUS.confirmed, speaker_invitation_notes="notes", submission=submission, type=ScheduleItem.TYPES.submission, conference=submission.conference, slot=slot_factory( day=day_factory( day=datetime.date(2020, 10, 10), conference=submission.conference ), hour=datetime.time(10, 10, 0), duration=30, ), ) response = graphql_client.query( """query($submissionId: ID!) { scheduleInvitation(submissionId: $submissionId) { option notes dates { start end } } }""", variables={"submissionId": submission.hashid}, ) assert not response.get("errors") assert response["data"]["scheduleInvitation"] is None def test_staff_can_fetch_the_invite( submission_factory, graphql_client, admin_user, schedule_item_factory, slot_factory, day_factory, ): graphql_client.force_login(admin_user) submission = submission_factory( speaker_id=50000, ) schedule_item_factory( status=ScheduleItem.STATUS.confirmed, speaker_invitation_notes="notes", submission=submission, type=ScheduleItem.TYPES.submission, conference=submission.conference, slot=slot_factory( day=day_factory( day=datetime.date(2020, 10, 10), conference=submission.conference ), hour=datetime.time(10, 10, 0), duration=30, ), ) response = graphql_client.query( """query($submissionId: ID!) { scheduleInvitation(submissionId: $submissionId) { option notes } }""", variables={"submissionId": submission.hashid}, ) assert not response.get("errors") assert response["data"]["scheduleInvitation"] == { "option": "CONFIRM", "notes": "notes", } def test_requires_authentication( submission_factory, graphql_client, schedule_item_factory, slot_factory, day_factory, ): submission = submission_factory( speaker_id=50000, ) schedule_item_factory( status=ScheduleItem.STATUS.confirmed, speaker_invitation_notes="notes", submission=submission, type=ScheduleItem.TYPES.submission, conference=submission.conference, slot=slot_factory( day=day_factory( day=datetime.date(2020, 10, 10), conference=submission.conference ), hour=datetime.time(10, 10, 0), duration=30, ), ) response = graphql_client.query( """query($submissionId: ID!) { scheduleInvitation(submissionId: $submissionId) { option notes dates { start end } } }""", variables={"submissionId": submission.hashid}, ) assert response["errors"][0]["message"] == "User not logged in" assert response["data"]["scheduleInvitation"] is None

25.259067

82

0.590154

438

4,875

6.374429

0.173516

0.04298

0.054441

0.04298

0.889327

0.872135

0.837034

0

0.030778

0.306872

4,875

192

83

25.390625

0.795502

0

0.773723

0

0.074183

0

0.058394

1

0.029197

false

0

0.021898

0

0.051095

0

null

0

1

0

1

0

null

0

7

4ffb0183f1a4d73a0046957acf4f4563eecd144c

21,935

py

Python

SCN.py

Tnorm/SCN

a89b829f86c16fc9359330427bdb71bd8b16349e

[ "MIT" ]

null

SCN.py

Tnorm/SCN

a89b829f86c16fc9359330427bdb71bd8b16349e

[ "MIT" ]

null

SCN.py

Tnorm/SCN

a89b829f86c16fc9359330427bdb71bd8b16349e

[ "MIT" ]

1

2019-06-24T07:04:00.000Z

#### SIMPLICIAL COMPLEX NEURAL NETWORK LEARN FUNCTIONS! import torch from torch.autograd import Variable import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm class SCN(torch.nn.Module): def __init__(self, visible_num, input_dim, visible_units, depth, model=1): super(SCN, self).__init__() # depth = number of hidden units self.L = [] for _ in range(depth): self.L.append(torch.nn.Parameter(torch.ones(1,visible_num)/visible_num, requires_grad=True)) ## visible units are defined as columns of a matrix ### UNCOMMENT THESE TWO LINES FOR SCN_fractal_test #self.visible_fs = torch.nn.Parameter(torch.randn(visible_num, 1)/5, requires_grad=True) #self.biases = torch.nn.Parameter(torch.randn(depth, 1)/5, requires_grad=True) ### self.visible_fs = torch.nn.Parameter(torch.zeros(visible_num, 1), requires_grad = True) self.biases = torch.nn.Parameter(torch.zeros(depth,1), requires_grad = True) self.visible_units = visible_units self.depth = depth self.visible_num = visible_num self.input_dim = input_dim ## for one dimensional data self.model = model def forward(self, inp): hidden_collect = [] f = self.visible_fs.repeat(inp.size()[0], 1, 1) h = self.visible_units.repeat(inp.size()[0], 1, 1) input_weights = self.get_first_input_weights_mdl1(inp, self.visible_units) for i in range(self.depth): input_weights, indices = self.update_weights(input_weights, self.L[i]) h_old = h.clone() if self.model == 1: f, h = self.update_h_mdl1(f, h, indices, self.L[i], i) elif self.model == 2: f, h = self.update_h_mdl2(f, h, indices, self.L[i], i) hidden_collect.append([h_old, h[range(h.size()[0]), indices.long(), :]]) #out = torch.bmm(input_weights.view(inp.size()[0], 1, -1), f) out = torch.nn.Sigmoid()(torch.bmm(input_weights.view(inp.size()[0], 1, -1), f)) return out, hidden_collect def update_weights(self, inp_weights, h_w): weights_div = inp_weights / (h_w + 1e-20) values, indices = torch.min(weights_div, 1) input_weights = self.update_inp_weights_mdl1(values, indices, inp_weights, h_w) return input_weights, indices def update_inp_weights_mdl1(self, values, indices, inp_weights, h_w): new_weights = inp_weights - values.view(-1,1).repeat(1,self.visible_num) * h_w new_weights[range(values.size()[0]),indices.long()] = values return new_weights def update_h_mdl1(self, f, h, indices, weights, i): new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) f[range(h.size()[0]), indices.long(), :] = (torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) + self.biases[i]).squeeze(-1) h[range(h.size()[0]), indices.long(), :] = new_h return f, h def update_h_mdl2(self, f, h, indices, weights, i): new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) f[range(h.size()[0]), indices.long(), :] = \ torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) + torch.nn.Sigmoid()(self.biases[i]) h[range(h.size()[0]), indices.long(), :] = new_h return f, h def get_first_input_weights_mdl1(self, inp, visible_units): return torch.cat((1 - torch.sum(inp, 1).view(-1, 1), inp), 1) def features_num(self, inp): size = inp.size()[1:] # all dimensions except the batch dimension num_features = 1 for s in size: num_features = num_features * s return num_features def initial_weights(self): return 1 def project_simplex(self, v, z=1): #sparsemax v_sorted, _ = torch.sort(v, dim=0, descending=True) cssv = torch.cumsum(v_sorted, dim=0) - z ind = torch.arange(1, 1 + len(v)).to(dtype=v.dtype) cond = v_sorted - cssv / ind > 0 rho = ind.masked_select(cond)[-1] tau = cssv.masked_select(cond)[-1] / rho w = torch.clamp(v - tau, min=0) return w class SCN_multi(torch.nn.Module): def __init__(self, visible_num, input_dim, output_dim, visible_units, depth, model=1): super(SCN_multi, self).__init__() # depth = number of hidden units self.L = torch.nn.ParameterList() for _ in range(depth): #self.L.append(torch.nn.Parameter(torch.ones(1,visible_num)/visible_num, requires_grad=True)) self.L.append(torch.nn.Parameter(torch.zeros(1, visible_num), requires_grad=True)) ## visible units are defined as columns of a matrix ### UNCOMMENT THESE TWO LINES FOR SCN_fractal_test #self.visible_fs = torch.nn.Parameter(torch.randn(visible_num, 1)/5, requires_grad=True) #self.biases = torch.nn.Parameter(torch.randn(depth, 1)/5, requires_grad=True) ### self.visible_fs = torch.nn.Parameter(torch.zeros(visible_num, output_dim), requires_grad = True) self.biases = torch.nn.Parameter(torch.zeros(depth,output_dim), requires_grad = True) self.bias_funcs = torch.nn.ModuleList([]) for _ in range(depth): self.bias_funcs.append(torch.nn.Linear(input_dim, output_dim)) self.bias_funcs[-1].weight.data.fill_(0.0) self.visible_units = visible_units self.depth = depth self.visible_num = visible_num self.input_dim = input_dim self.output_dim = output_dim ## for one dimensional data self.model = model self.sftmax = torch.nn.Softmax(dim=-1) def forward(self, inp): hidden_collect = [] f = self.visible_fs.repeat(inp.size()[0], 1, 1) h = self.visible_units.repeat(inp.size()[0], 1, 1) input_weights = self.get_first_input_weights_mdl1(inp, self.visible_units) for i in range(self.depth): input_weights, indices = self.update_weights(input_weights, self.sftmax(self.L[i]).detach()) h_old = h.clone() if self.model == 1: f, h, last_h = self.update_h_mdl1(f, h, indices, self.sftmax(self.L[i]), i) elif self.model == 2: f, h = self.update_h_mdl2(f, h, indices, self.sftmax(self.L[i]), i) hidden_collect.append([h_old, h[range(h.size()[0]), indices.long(), :]]) out = torch.bmm(input_weights.view(inp.size()[0], 1, -1), f) #out = torch.nn.Softmax(dim=-1)(torch.bmm(input_weights.view(inp.size()[0], 1, -1), f)) return out, hidden_collect, last_h def update_weights(self, inp_weights, h_w): weights_div = inp_weights / (h_w + 1e-20) values, indices = torch.min(weights_div, 1) input_weights = self.update_inp_weights_mdl1(values, indices, inp_weights, h_w) return input_weights, indices def update_inp_weights_mdl1(self, values, indices, inp_weights, h_w): #new_weights = inp_weights - values.view(-1,1).repeat(1,self.visible_num) * h_w new_weights = inp_weights - values.view(-1, 1) * h_w new_weights[range(values.size()[0]),indices.long()] = values return new_weights def update_h_mdl0(self, f, h, indices, weights, i): new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) f[range(h.size()[0]), indices.long(), :] = (torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()))\ .squeeze(-2) + self.biases[i] h[range(h.size()[0]), indices.long(), :] = new_h return f, h def update_h_mdl1(self, f, h, indices, weights, i): new_h = torch.matmul(weights, h.clone()).squeeze(-2) #print(new_h[20]) # if i == 1: # print(new_h, indices) # plt.imshow((new_h[5]).reshape(28, 28).data.numpy(), cmap='gray', vmin=0.0, # vmax=new_h[5].max()) # plt.savefig('hidden' + str(i) + '.png') # plt.clf() #print(new_h[0]) f[range(h.size()[0]), indices.long(), :] = torch.matmul(weights, f.clone()).squeeze(-2) + \ self.biases[i] # s = torch.autograd.grad(f.sum(), weights) # print(s) #self.bias_funcs[i](new_h.detach()) h[range(h.size()[0]), indices.long(), :] = new_h return f, h, new_h def update_h_mdl2(self, f, h, indices, weights, i): new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) f[range(h.size()[0]), indices.long(), :] = \ torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) + torch.nn.Sigmoid()(self.biases[i]) h[range(h.size()[0]), indices.long(), :] = new_h return f, h def get_first_input_weights_mdl1(self, inp, visible_units): return torch.cat((1 - torch.sum(inp, 1).view(-1, 1), inp), 1) def features_num(self, inp): size = inp.size()[1:] # all dimensions except the batch dimension num_features = 1 for s in size: num_features = num_features * s return num_features def initial_weights(self): return 1 def project_simplex(self, v, z=1): #sparsemax v_sorted, _ = torch.sort(v, dim=0, descending=True) cssv = torch.cumsum(v_sorted, dim=0) - z ind = torch.arange(1, 1 + len(v)).to(dtype=v.dtype) cond = v_sorted - cssv / ind > 0 rho = ind.masked_select(cond)[-1] tau = cssv.masked_select(cond)[-1] / rho w = torch.clamp(v - tau, min=0) return w class SCN_multi_justified(torch.nn.Module): def __init__(self, visible_num, input_dim, output_dim, visible_units, depth, model=1): super(SCN_multi_justified, self).__init__() self.L = torch.nn.ModuleList([]) self.bias_funcs = torch.nn.ModuleList([]) for _ in range(depth): self.L.append(torch.nn.Linear(input_dim, 1)) self.bias_funcs.append(torch.nn.Linear(input_dim, output_dim)) self.bias_funcs[-1].weight.data.fill_(0.0) self.visible_fs = torch.nn.Parameter(torch.zeros(visible_num, output_dim), requires_grad=True) self.visible_ws = torch.nn.Parameter(torch.zeros(visible_num), requires_grad=True) self.visible_units = visible_units self.visible_num = visible_num self.depth = depth self.input_dim = input_dim self.output_dim = output_dim self.model = model self.sftmax = torch.nn.Softmax(dim=-1) def forward(self, inp): hidden_collect = [] f = self.visible_fs.repeat(inp.size()[0], 1, 1) w = self.visible_ws.repeat(inp.size()[0], 1) h = self.visible_units.repeat(inp.size()[0], 1, 1) input_weights = self.get_first_input_weights_mdl1(inp, self.visible_units) for i in range(self.depth): weights_div = input_weights / (self.sftmax(w.data) + 1e-20) values, indices = torch.min(weights_div, 1) input_weights = input_weights - values.view(-1, 1) * self.sftmax(w.data) input_weights[range(values.size()[0]), indices.long()] = values stfmax_w = self.sftmax(w.clone()).unsqueeze(-2) new_h = torch.matmul(stfmax_w, h.clone()).squeeze(-2) f[range(h.size()[0]), indices.long(), :] = torch.matmul(stfmax_w, f.clone()).squeeze(-2) + \ self.bias_funcs[i](new_h) h[range(h.size()[0]), indices.long(), :] = new_h w[range(values.size()[0]), indices.long()] = self.L[i](new_h).squeeze() out = torch.bmm(input_weights.view(inp.size()[0], 1, -1), f) return out, hidden_collect, None def get_first_input_weights_mdl1(self, inp, visible_units): return inp #return torch.cat((1 - torch.sum(inp, 1).view(-1, 1), inp), 1) # #### SIMPLICIAL COMPLEX NEURAL NETWORK LEARN FUNCTIONS! # # import torch # from torch.autograd import Variable # import numpy as np # import matplotlib.pyplot as plt # from scipy.stats import norm # # class SCN(torch.nn.Module): # # def __init__(self, visible_num, input_dim, visible_units, depth, model=1): # super(SCN, self).__init__() # # depth = number of hidden units # self.L = [] # for _ in range(depth): # self.L.append(torch.nn.Parameter(torch.ones(1,visible_num)/visible_num, requires_grad=True)) # ## visible units are defined as columns of a matrix # ### UNCOMMENT THESE TWO LINES FOR SCN_fractal_test # #self.visible_fs = torch.nn.Parameter(torch.randn(visible_num, 1)/5, requires_grad=True) # #self.biases = torch.nn.Parameter(torch.randn(depth, 1)/5, requires_grad=True) # ### # self.visible_fs = torch.nn.Parameter(torch.zeros(visible_num, 1), requires_grad = True) # self.biases = torch.nn.Parameter(torch.zeros(depth,1), requires_grad = True) # self.visible_units = visible_units # # self.depth = depth # self.visible_num = visible_num # self.input_dim = input_dim # ## for one dimensional data # self.model = model # # # def forward(self, inp): # hidden_collect = [] # f = self.visible_fs.repeat(inp.size()[0], 1, 1) # h = self.visible_units.repeat(inp.size()[0], 1, 1) # input_weights = self.get_first_input_weights_mdl1(inp, self.visible_units) # for i in range(self.depth): # input_weights, indices = self.update_weights(input_weights, self.L[i]) # h_old = h.clone() # if self.model == 1: # f, h = self.update_h_mdl1(f, h, indices, self.L[i], i) # elif self.model == 2: # f, h = self.update_h_mdl2(f, h, indices, self.L[i], i) # hidden_collect.append([h_old, h[range(h.size()[0]), indices.long(), :]]) # #out = torch.bmm(input_weights.view(inp.size()[0], 1, -1), f) # out = torch.nn.Sigmoid()(torch.bmm(input_weights.view(inp.size()[0], 1, -1), f)) # return out, hidden_collect # # # def update_weights(self, inp_weights, h_w): # weights_div = inp_weights / (h_w + 1e-20) # values, indices = torch.min(weights_div, 1) # input_weights = self.update_inp_weights_mdl1(values, indices, inp_weights, h_w) # return input_weights, indices # # def update_inp_weights_mdl1(self, values, indices, inp_weights, h_w): # new_weights = inp_weights - values.view(-1,1).repeat(1,self.visible_num) * h_w # new_weights[range(values.size()[0]),indices.long()] = values # return new_weights # # def update_h_mdl1(self, f, h, indices, weights, i): # new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) # f[range(h.size()[0]), indices.long(), :] = (torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) # + self.biases[i]).squeeze(-1) # h[range(h.size()[0]), indices.long(), :] = new_h # return f, h # # def update_h_mdl2(self, f, h, indices, weights, i): # new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) # f[range(h.size()[0]), indices.long(), :] = \ # torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) + torch.nn.Sigmoid()(self.biases[i]) # h[range(h.size()[0]), indices.long(), :] = new_h # return f, h # # def get_first_input_weights_mdl1(self, inp, visible_units): # return torch.cat((1 - torch.sum(inp, 1).view(-1, 1), inp), 1) # # def features_num(self, inp): # size = inp.size()[1:] # all dimensions except the batch dimension # num_features = 1 # for s in size: # num_features = num_features * s # return num_features # # def initial_weights(self): # return 1 # # # def project_simplex(self, v, z=1): #sparsemax # v_sorted, _ = torch.sort(v, dim=0, descending=True) # cssv = torch.cumsum(v_sorted, dim=0) - z # ind = torch.arange(1, 1 + len(v)).to(dtype=v.dtype) # cond = v_sorted - cssv / ind > 0 # rho = ind.masked_select(cond)[-1] # tau = cssv.masked_select(cond)[-1] / rho # w = torch.clamp(v - tau, min=0) # return w # # # class SCN_multi(torch.nn.Module): # # def __init__(self, visible_num, input_dim, output_dim, visible_units, depth, model=1): # super(SCN_multi, self).__init__() # # depth = number of hidden units # self.L = torch.nn.ParameterList() # for _ in range(depth): # self.L.append(torch.nn.Parameter(torch.ones(1,visible_num)/visible_num, requires_grad=True)) # ## visible units are defined as columns of a matrix # ### UNCOMMENT THESE TWO LINES FOR SCN_fractal_test # #self.visible_fs = torch.nn.Parameter(torch.randn(visible_num, 1)/5, requires_grad=True) # #self.biases = torch.nn.Parameter(torch.randn(depth, 1)/5, requires_grad=True) # ### # self.visible_fs = torch.nn.Parameter(torch.zeros(visible_num, output_dim), requires_grad = True) # self.biases = torch.nn.Parameter(torch.zeros(depth,output_dim), requires_grad = True) # self.bias_funcs = torch.nn.ModuleList([]) # for _ in range(depth): # self.bias_funcs.append(torch.nn.Linear(input_dim, output_dim)) # self.bias_funcs[-1].weight.data.fill_(0.0) # self.visible_units = visible_units # # self.depth = depth # self.visible_num = visible_num # self.input_dim = input_dim # self.output_dim = output_dim # ## for one dimensional data # self.model = model # # # def forward(self, inp): # hidden_collect = [] # f = self.visible_fs.repeat(inp.size()[0], 1, 1) # h = self.visible_units.repeat(inp.size()[0], 1, 1) # input_weights = self.get_first_input_weights_mdl1(inp, self.visible_units) # for i in range(self.depth): # input_weights, indices = self.update_weights(input_weights, self.L[i]) # h_old = h.clone() # if self.model == 1: # f, h = self.update_h_mdl1(f, h, indices, self.L[i], i) # elif self.model == 2: # f, h = self.update_h_mdl2(f, h, indices, self.L[i], i) # hidden_collect.append([h_old, h[range(h.size()[0]), indices.long(), :]]) # out = torch.bmm(input_weights.view(inp.size()[0], 1, -1), f) # #out = torch.nn.Softmax(dim=-1)(torch.bmm(input_weights.view(inp.size()[0], 1, -1), f)) # return out, hidden_collect # # def update_weights(self, inp_weights, h_w): # weights_div = inp_weights / (h_w + 1e-20) # values, indices = torch.min(weights_div, 1) # #print(indices) # input_weights = self.update_inp_weights_mdl1(values, indices, inp_weights, h_w) # return input_weights, indices # # def update_inp_weights_mdl1(self, values, indices, inp_weights, h_w): # #new_weights = inp_weights - values.view(-1,1).repeat(1,self.visible_num) * h_w # new_weights = inp_weights - values.view(-1, 1) * h_w # new_weights[range(values.size()[0]),indices.long()] = values # return new_weights # # def update_h_mdl0(self, f, h, indices, weights, i): # new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) # f[range(h.size()[0]), indices.long(), :] = (torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()))\ # .squeeze(-2) + self.biases[i] # h[range(h.size()[0]), indices.long(), :] = new_h # return f, h # # def update_h_mdl1(self, f, h, indices, weights, i): # new_h = torch.matmul(weights, h).squeeze() # #print(new_h[20]) # # if i == 1: # # print(new_h, indices) # plt.imshow((new_h[3]).reshape(28, 28).data.numpy(), cmap='gray', vmin=0.0, # vmax=new_h[3].max()) # plt.savefig('hidden' + str(i) + '.png') # plt.clf() # f[range(h.size()[0]), indices.long(), :] = torch.matmul(weights.detach(), f.clone()).squeeze() + \ # self.bias_funcs[i](new_h.detach()) # h[range(h.size()[0]), indices.long(), :] = new_h # return f, h # # def update_h_mdl2(self, f, h, indices, weights, i): # new_h = torch.bmm(weights.repeat(h.size()[0], 1, 1), h).view(-1, self.input_dim) # f[range(h.size()[0]), indices.long(), :] = \ # torch.bmm(weights.repeat(h.size()[0], 1, 1), f.clone()) + torch.nn.Sigmoid()(self.biases[i]) # h[range(h.size()[0]), indices.long(), :] = new_h # return f, h # # def get_first_input_weights_mdl1(self, inp, visible_units): # return torch.cat((1 - torch.sum(inp, 1).view(-1, 1), inp), 1) # # def features_num(self, inp): # size = inp.size()[1:] # all dimensions except the batch dimension # num_features = 1 # for s in size: # num_features = num_features * s # return num_features # # def initial_weights(self): # return 1 # # # def project_simplex(self, v, z=1): #sparsemax # v_sorted, _ = torch.sort(v, dim=0, descending=True) # cssv = torch.cumsum(v_sorted, dim=0) - z # ind = torch.arange(1, 1 + len(v)).to(dtype=v.dtype) # cond = v_sorted - cssv / ind > 0 # rho = ind.masked_select(cond)[-1] # tau = cssv.masked_select(cond)[-1] / rho # w = torch.clamp(v - tau, min=0) # return w

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Python

mapel/voting/metrics/lp.py

szufix/mapel

9eaacf7963021ea3eab701a14efd82cf1bfc5c5b

[ "MIT" ]

3

2020-02-15T11:37:30.000Z

2021-02-21T11:46:10.000Z

mapel/voting/metrics/lp.py

szufix/mapel

9eaacf7963021ea3eab701a14efd82cf1bfc5c5b

[ "MIT" ]

9

2020-03-24T11:08:57.000Z

2020-03-24T11:48:04.000Z

mapel/voting/metrics/lp.py

szufix/mapel

9eaacf7963021ea3eab701a14efd82cf1bfc5c5b

[ "MIT" ]

4

2020-04-21T17:47:50.000Z

2022-03-25T16:41:04.000Z

#!/usr/bin/env python import os try: import cplex except ImportError: cplex = None import numpy as np from mapel.voting.metrics.inner_distances import hamming # FOR SUBELECTIONS def solve_lp_voter_subelection(election_1, election_2, metric_name='0'): """ LP solver for voter subelection problem """ cp = cplex.Cplex() cp.parameters.threads.set(1) # OBJECTIVE FUNCTION cp.objective.set_sense(cp.objective.sense.maximize) objective = [] names = [] for v1 in range(election_1.num_voters): for v2 in range(election_2.num_voters): names.append('N' + str(v1) + '_' + str(v2)) objective.append(1.) cp.variables.add(obj=objective, names=names, types=[ cp.variables.type.binary] * election_1.num_voters * election_2.num_voters) # FIRST CONSTRAINT FOR VOTERS lin_expr = [] for v1 in range(election_1.num_voters): ind = [] for v2 in range(election_2.num_voters): ind.append('N' + str(v1) + '_' + str(v2)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * election_2.num_voters)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['L'] * election_1.num_voters, rhs=[1.0] * election_1.num_voters, names=['C1_' + str(i) for i in range(election_1.num_voters)]) # SECOND CONSTRAINT FOR VOTERS lin_expr = [] for v2 in range(election_2.num_voters): ind = [] for v1 in range(election_1.num_voters): ind.append('N' + str(v1) + '_' + str(v2)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * election_1.num_voters)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['L'] * election_2.num_voters, rhs=[1.0] * election_2.num_voters, names=['C2_' + str(i) for i in range(election_2.num_voters)]) # ADD VARIABLES FOR CANDIDATES names = [] for c1 in range(election_1.num_candidates): for c2 in range(election_2.num_candidates): names.append('M' + str(c1) + '_' + str(c2)) cp.variables.add(names=list(names), types=[ cp.variables.type.binary] * election_1.num_candidates * election_2.num_candidates) # FIRST CONSTRAINT FOR CANDIDATES lin_expr = [] for c1 in range(election_1.num_candidates): ind = [] for c2 in range(election_2.num_candidates): ind.append('M' + str(c1) + '_' + str(c2)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * election_2.num_candidates)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * election_1.num_candidates, rhs=[1.0] * election_1.num_candidates, names=['C3_' + str(i) for i in range(election_1.num_candidates)]) # SECOND CONSTRAINT FOR CANDIDATES lin_expr = [] for c2 in range(election_2.num_candidates): ind = [] for c1 in range(election_1.num_candidates): ind.append('M' + str(c1) + '_' + str(c2)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * election_1.num_candidates)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * election_2.num_candidates, rhs=[1.0] * election_2.num_candidates, names=['C4_' + str(i) for i in range(election_2.num_candidates)]) # MAIN CONSTRAINT FOR VOTES lin_expr = [] for v1 in range(election_1.num_voters): for v2 in range(election_2.num_voters): ind = [] val = [] for c1 in range(election_1.num_candidates): for c2 in range(election_2.num_candidates): ind.append('M' + str(c1) + '_' + str(c2)) if abs(election_1.potes[v1][c1] - election_2.potes[v2][c2]) <= int(metric_name): val.append(1.) else: val.append(0.) ind.append('N' + str(v1) + '_' + str(v2)) val.append(-election_1.num_candidates) lin_expr.append(cplex.SparsePair(ind=ind, val=val)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['G'] * election_1.num_voters * election_2.num_voters, rhs=[0.0] * election_1.num_voters * election_2.num_voters, names=['C5_' + str(i) for i in range(election_1.num_voters * election_2.num_voters)]) # cp.write('new.lp') # SOLVE THE ILP cp.set_results_stream(None) try: cp.solve() except: # cplex.CplexSolverError: print("Exception raised while solving") return objective_value = cp.solution.get_objective_value() return objective_value def solve_lp_candidate_subelections(lp_file_name, election_1, election_2): """ LP solver for candidate subelection problem """ # PRECOMPUTING # """ P = np.zeros([election_1.num_voters, election_2.num_voters, election_1.num_candidates, election_2.num_candidates, election_1.num_candidates, election_2.num_candidates]) for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): for d2 in range(election_2.num_candidates): if (election_1.potes[v][c1] > election_1.potes[v][c2] and election_2.potes[u][d1] > election_2.potes[u][d2]) or \ (election_1.potes[v][c1] < election_1.potes[v][c2] and election_2.potes[u][d1] < election_2.potes[u][d2]): P[v][u][c1][d1][c2][d2] = 1 # print(P) # """ # CREATE LP FILE lp_file = open(lp_file_name, 'w') lp_file.write("Maximize\nobj: ") first = True for c in range(election_1.num_candidates): for d in range(election_2.num_candidates): if not first: lp_file.write(" + ") first = False lp_file.write(" M_" + str(c) + "_" + str(d)) lp_file.write("\n") """ first = True for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue if P[v][u][c1][d1][c2][d2] == 1: if not first: lp_file.write(" + ") first = False lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) lp_file.write("\n") """ lp_file.write("Subject To\n") ctr_c = 0 # FIRST CONSTRAINT FOR VOTERS for v in range(election_1.num_voters): lp_file.write("c" + str(ctr_c) + ":") first = True for u in range(election_2.num_voters): if not first: lp_file.write(" +") first = False lp_file.write(" N_" + str(v) + "_" + str(u)) lp_file.write(" = 1" + "\n") ctr_c += 1 # SECOND CONSTRAINT FOR VOTERS for u in range(election_2.num_voters): lp_file.write("c" + str(ctr_c) + ":") first = True for v in range(election_1.num_voters): if not first: lp_file.write(" +") first = False lp_file.write(" N_" + str(v) + "_" + str(u)) lp_file.write(" = 1" + "\n") ctr_c += 1 # FIRST CONSTRAINT FOR CANDIDATES for c in range(election_1.num_candidates): lp_file.write("c" + str(ctr_c) + ":") first = True for d in range(election_2.num_candidates): if not first: lp_file.write(" +") first = False lp_file.write(" M_" + str(c) + "_" + str(d)) lp_file.write(" <= 1" + "\n") ctr_c += 1 # SECOND CONSTRAINT FOR CANDIDATES for d in range(election_2.num_candidates): lp_file.write("c" + str(ctr_c) + ":") first = True for c in range(election_1.num_candidates): if not first: lp_file.write(" +") first = False lp_file.write(" M_" + str(c) + "_" + str(d)) lp_file.write(" <= 1" + "\n") ctr_c += 1 # FIRST CONSTRAINT FOR P for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue # if P[v][u][c1][d1][c2][d2] == 1: lp_file.write("c" + str(ctr_c) + ":") lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) lp_file.write(" - 0.34 N_" + str(v) + "_" + str(u)) lp_file.write(" - 0.34 M_" + str(c1) + "_" + str(d1)) lp_file.write(" - 0.34 M_" + str(c2) + "_" + str(d2)) lp_file.write(" <= 0" + "\n") ctr_c += 1 # SECOND CONSTRAINT FOR P for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue # if P[v][u][c1][d1][c2][d2] == 1: lp_file.write("c" + str(ctr_c) + ":") lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) # lp_file.write(" + 1") lp_file.write(" - 0.34 N_" + str(v) + "_" + str(u)) lp_file.write(" - 0.34 M_" + str(c1) + "_" + str(d1)) lp_file.write(" - 0.34 M_" + str(c2) + "_" + str(d2)) lp_file.write(" > -1" + "\n") ctr_c += 1 # THIRD CONSTRAINT FOR P for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue # if P[v][u][c1][d1][c2][d2] == 1: lp_file.write("c" + str(ctr_c) + ":") lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) lp_file.write(" <= " + str(P[v][u][c1][d1][c2][d2]) + "\n") ctr_c += 1 """ # NEW 1 for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): lp_file.write("c" + str(ctr_c) + ":") first = True for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue if P[v][u][c1][d1][c2][d2] == 1: if not first: lp_file.write(" +") first = False lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) lp_file.write(' - ' + str((magic_param-1)*election_1.num_voters) + ' M_' + str(c1) + '_' + str(d1) + ' = 0' + "\n") ctr_c += 1 # NEW 2 for v in range(election_1.num_voters): for u in range(election_2.num_voters): lp_file.write("c" + str(ctr_c) + ":") first = True for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue if P[v][u][c1][d1][c2][d2] == 1: if not first: lp_file.write(" +") first = False lp_file.write(" P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2)) lp_file.write(' - ' + str((magic_param-1)*2) + ' N_' + str(v) + '_' + str(u) + ' = 0' + "\n") ctr_c += 1 """ lp_file.write("Binary\n") for v in range(election_1.num_voters): for u in range(election_2.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_2.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_2.num_candidates): if d1 == d2: continue # if P[v][u][c1][d1][c2][d2] == 1: lp_file.write("P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str( d2) + "\n") for v in range(election_1.num_voters): for u in range(election_2.num_voters): lp_file.write("N_" + str(v) + "_" + str(u) + "\n") for c in range(election_1.num_candidates): for d in range(election_2.num_candidates): lp_file.write("M_" + str(c) + "_" + str(d) + "\n") lp_file.write("End\n") lp_file.close() ### SECOND PART cp_lp = cplex.Cplex(lp_file_name) cp_lp.parameters.threads.set(1) cp_lp.set_results_stream(None) try: cp_lp.solve() except: # cplex.CplexSolverError: print("Exception raised during solve") return ########################## ########################## result = np.zeros([election_1.num_candidates, election_1.num_candidates]) for i in range(election_1.num_candidates): for j in range(election_1.num_candidates): name = 'M_' + str(i) + '_' + str(j) result[i][j] = cp_lp.solution.get_values(name) # print('M', result) """ result_2 = np.zeros([election_1.num_voters, election_1.num_voters]) for i in range(election_1.num_voters): for j in range(election_1.num_voters): election_id = 'N_' + str(i) + '_' + str(j) result_2[i][j] = cp_lp.solution.get_values(election_id) print('N', result_2) total = 0 for v in range(election_1.num_voters): for u in range(election_1.num_voters): for c1 in range(election_1.num_candidates): for d1 in range(election_1.num_candidates): for c2 in range(election_1.num_candidates): if c1 == c2: continue for d2 in range(election_1.num_candidates): if d1 == d2: continue #if P[v][u][c1][d1][c2][d2] == 1: election_id = "P_" + str(v) + "_" + str(u) + "_" + str(c1) + "_" + str(d1) + "_" + str(c2) + "_" + str(d2) value = cp_lp.solution.get_values(election_id) #print(value) if value == 1: print(election_id) total += value print(total) """ ########################## ########################## # objective_value = cp_lp.solution.get_objective_value() # print('O-V: ', objective_value) # print(sum(sum(result))) return sum(sum(result)) # FOR METRICS def solve_lp_matching_vector_with_lp(cost_table, length): """ LP solver for vectors' matching """ # print(cost_table) cp = cplex.Cplex() cp.parameters.threads.set(1) # OBJECTIVE FUNCTION cp.objective.set_sense(cp.objective.sense.minimize) objective = [] names = [] pos = 0 for i in range(length): for j in range(length): names.append('x' + str(pos)) objective.append(cost_table[i][j]) pos += 1 cp.variables.add(obj=objective, names=names, types=[cp.variables.type.binary] * length ** 2) # FIRST GROUP OF CONSTRAINTS lin_expr = [] for i in range(length): ind = [] for j in range(length): pos = i * length + j ind.append('x' + str(pos)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * length)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * length, rhs=[1.0] * length) # SECOND GROUP OF CONSTRAINTS lin_expr = [] for j in range(length): ind = [] for i in range(length): pos = i * length + j ind.append('x' + str(pos)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * length)) cp.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * length, rhs=[1.0] * length) # c.write('new.lp') # SOLVE THE ILP cp.set_results_stream(None) try: cp.solve() except: # cplex.CplexSolverError: print("Exception raised while solving") return # UNPACK THE RESULTS """ result = [0.] * length ** 2 for i in range(len(result)): result[i] = c.solution.get_values('x' + str(i)) matching = [0] * length ctr = 0 for i in range(len(result)): if result[i] == 1: matching[ctr] = i % length ctr += 1 """ objective_value = cp.solution.get_objective_value() return objective_value def solve_lp_matching_interval(cost_table, length_1, length_2): precision = length_1 * length_2 # print(cost_table) c = cplex.Cplex() c.parameters.threads.set(1) # OBJECTIVE FUNCTION c.objective.set_sense(c.objective.sense.minimize) c.objective.set_name("Obj") objective = [] names = [] pos = 0 for i in range(length_1): for j in range(length_2): names.append('x' + str(pos)) objective.append(cost_table[i][j]) pos += 1 c.variables.add(obj=objective, names=names, types=[c.variables.type.integer] * precision) # FIRST GROUP OF CONSTRAINTS lin_expr = [] c_names = [] for i in range(length_1): ind = [] for j in range(length_2): pos = i * length_2 + j ind.append('x' + str(pos)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * length_2)) c_names.append('c1_' + str(i)) c.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * length_1, rhs=[length_2] * length_1, names=c_names) # SECOND GROUP OF CONSTRAINTS lin_expr = [] c_names = [] for j in range(length_2): ind = [] for i in range(length_1): pos = i * length_2 + j ind.append('x' + str(pos)) lin_expr.append(cplex.SparsePair(ind=ind, val=[1.0] * length_1)) c_names.append('c2_' + str(j)) c.linear_constraints.add(lin_expr=lin_expr, senses=['E'] * length_2, rhs=[length_1] * length_2, names=c_names) c.write('interval.lp') c.write('interval.mps') # SOLVE THE ILP c.set_results_stream(None) try: c.solve() except: # cplex.CplexSolverError: print("Exception raised while solving") return result = c.solution.get_objective_value() / precision return result # DODGSON SCORE def generate_lp_file_dodgson_score(lp_file_name, N=None, e=None, D=None): lp_file = open(lp_file_name, 'w') lp_file.write("Minimize\nobj: ") first = True for i in range(len(N)): for j in range(1, len(D)): if not first: lp_file.write(" + ") first = False lp_file.write(str(j) + " y" + str(i) + "_" + str(j)) lp_file.write("\n") lp_file.write("Subject To\n") ctr_c = 0 for i in range(len(N)): lp_file.write("c" + str(ctr_c) + ":") lp_file.write(" y" + str(i) + "_" + str(0) + " = " + str(N[i]) + "\n") ctr_c += 1 # """ for k in range(len(D)): lp_file.write("c" + str(ctr_c) + ":") first = True for i in range(len(N)): for j in range(1, len(D)): # print(i,j,k) # print(e[i][j][k], e[i][j-1][k]) if not first: lp_file.write(" +") first = False lp_file.write(" " + str(e[i][j][k] - e[i][j - 1][k]) + " y" + str(i) + "_" + str(j)) lp_file.write(" >= " + str(D[k]) + "\n") ctr_c += 1 # """ # """ for i in range(len(N)): for j in range(1, len(D)): lp_file.write("c" + str(ctr_c) + ":") lp_file.write( " y" + str(i) + "_" + str(j - 1) + " - y" + str(i) + "_" + str(j) + " >= 0" + "\n") ctr_c += 1 # """ # """ # chyba nie potrzeba bo integer zalatwia sprawe... for i in range(len(N)): for j in range(len(D)): lp_file.write("c" + str(ctr_c) + ":") lp_file.write(" y" + str(i) + "_" + str(j) + " >= 0" + "\n") ctr_c += 1 # """ # """ lp_file.write("General\n") for i in range(len(N)): for j in range(len(D)): lp_file.write("y" + str(i) + "_" + str(j) + "\n") ctr_c += 1 # """ lp_file.write("End\n") def solve_lp_dodgson_score(lp_file_name): """ this function ...""" cp_lp = cplex.Cplex(lp_file_name) cp_lp.parameters.threads.set(1) cp_lp.set_results_stream(None) try: cp_lp.solve() except: # cplex.CplexSolverError: print("Exception raised during solve") return """ import numpy as np result = np.zeros([len(N), len(D)]) for i in range(len(N)): for j in range(len(D)): result[i] = cp_lp.solution.get_values('y' + str(i) + '_' + str(j)) """ return cp_lp.solution.get_objective_value() # FOR WINNERS - needs update def generate_lp_file_borda_owa(owa, lp_file_name, params, votes): """ this function generates lp file""" lp_file = open(lp_file_name, 'w') lp_file.write("Maximize\nobj: ") pos = 0 first = True for i in range(params['voters']): for j in range(params['orders']): for k in range(params['candidates']): if not first and owa[j] >= 0.: lp_file.write(" + ") first = False lp_file.write(str(owa[j]) + " x" + str(pos)) pos += 1 lp_file.write("\n") lp_file.write("Subject To\n") lp_file.write("c0:") first = True for i in range(params['candidates']): if not first: lp_file.write(" +") first = False lp_file.write(" y" + str(i)) lp_file.write(' = ' + str(params['orders']) + '\n') for i in range(params['voters']): for j in range(params['candidates']): lp_file.write("c" + str(i * params['candidates'] + j + 1) + ": ") pos = i * params['orders'] * params['candidates'] + j first = True for k in range(params['orders']): if not first: lp_file.write(" +") first = False lp_file.write(" x" + str(pos + params['candidates'] * k)) for k in range(0, j + 1): lp_file.write(" - y" + str(int(votes[i][k]))) lp_file.write(" <= 0 \n") lp_file.write("Binary\n") for i in range(params['voters'] * params['orders'] * params['candidates']): lp_file.write("x" + str(i) + "\n") for i in range(params['candidates']): lp_file.write("y" + str(i) + "\n") lp_file.write("End\n") def generate_lp_file_bloc_owa(owa, lp_file_name, params, votes, t_bloc): """ this function generates lp file""" lp_file = open(lp_file_name, 'w') lp_file.write("Maximize\nobj: ") pos = 0 first = True for i in range(params['voters']): for j in range(params['orders']): for k in range(params['candidates']): if not first: if k == t_bloc - 1: lp_file.write(" + ") first = False if k == t_bloc - 1: lp_file.write(str(owa[j]) + " x" + str(pos)) pos += 1 lp_file.write("\n") lp_file.write("Subject To\n") lp_file.write("c0:") first = True for i in range(params['candidates']): if not first: lp_file.write(" +") first = False lp_file.write(" y" + str(i)) lp_file.write(' = ' + str(params['orders']) + '\n') for i in range(params['voters']): for j in range(params['candidates']): lp_file.write("c" + str(i * params['candidates'] + j + 1) + ": ") pos = i * params['orders'] * params['candidates'] + j first = True for k in range(params['orders']): if not first: lp_file.write(" +") first = False lp_file.write(" x" + str(pos + params['candidates'] * k)) for k in range(0, j + 1): lp_file.write(" - y" + str(int(votes[i][k]))) lp_file.write(" <= 0 \n") lp_file.write("Binary\n") for i in range(params['voters'] * params['orders'] * params['candidates']): lp_file.write("x" + str(i) + "\n") for i in range(params['candidates']): lp_file.write("y" + str(i) + "\n") lp_file.write("End\n") def get_winners_from_lp(tmp_file, params, candidates): """ this function ...""" cp_lp = cplex.Cplex(tmp_file) cp_lp.parameters.threads.set(1) cp_lp.set_results_stream(None) try: cp_lp.solve() except cplex.CplexSolverError: print("Exception raised during solve") return result = [0.] * params['candidates'] for i in range(params['candidates']): result[i] = cp_lp.solution.get_values('y' + str(i)) # print(result) params['pure'] = True winner_id = 0 winners = [0.] * params['orders'] for i in range(params['candidates']): if result[i] == 1.: if params['pure']: winners[winner_id] = i else: winners[winner_id] = candidates[i] winner_id += 1 winners = sorted(winners) return winners """ def generate_lp_file_matching_matrix_half(lp_file_name, matrix_1, matrix_2, length): # [1, 4, 6, 9, 11] # [1, 5, 6, 9, 11] print(matrix_1) print(matrix_2) lp_file = open(lp_file_name, 'w') lp_file.write("Minimize\n") # obj: ") first = True for k in range(length): for l in range(length): for i in range(k+1, length): for j in range(l+1, length): if not first: lp_file.write(" + ") first = False weight = abs(matrix_1[k][i] - matrix_2[l][j])#**2 print(weight) lp_file.write(str(weight) + " P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write("\n") lp_file.write("Subject To\n") for k in range(length): for l in range(length): for i in range(k+1, length): for j in range(l+1, length): lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "M" + "i" + str(i) + "j" + str(j) + " <= 0" + "\n") lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "M" + "i" + str(k) + "j" + str(l) + " <= 0" + "\n") for i in range(length): first = True for j in range(length): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") for j in range(length): first = True for i in range(length): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # Not sure about this part # for k in range(length): for i in range(k+1, length): if k == i: continue first = True for l in range(length): for j in range(l+1, length): if l == j: continue if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # Not sure about this part # for l in range(length): for j in range(l+1, length): if l == j: continue first = True for k in range(length): for i in range(k+1, length): if k == i: continue if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") lp_file.write("Binary\n") for k in range(length): for l in range(length): for i in range(k+1, length): for j in range(l+1, length): lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j) + "\n") for i in range(length): for j in range(length): lp_file.write("M" + "i" + str(i) + "j" + str(j) + "\n") lp_file.write("End\n") """ def generate_lp_file_matching_matrix(lp_file_name, matrix_1, matrix_2, length, inner_distance): lp_file = open(lp_file_name, 'w') lp_file.write("Minimize\n") first = True for k in range(length): for l in range(length): for i in range(length): if i == k: continue for j in range(length): if j == l: continue if not first: lp_file.write(" + ") first = False weight = inner_distance(matrix_1[k][i], matrix_2[l][j]) lp_file.write( str(weight) + " P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str( j)) lp_file.write("\n") lp_file.write("Subject To\n") for k in range(length): for l in range(length): for i in range(length): if i == k: continue for j in range(length): if j == l: continue lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "M" + "i" + str(i) + "j" + str(j) + " <= 0" + "\n") lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "M" + "i" + str(k) + "j" + str(l) + " <= 0" + "\n") for i in range(length): first = True for j in range(length): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") for j in range(length): first = True for i in range(length): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # Not sure about this part # for k in range(length): for i in range(length): if k == i: continue first = True for l in range(length): for j in range(length): if l == j: continue if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # Not sure about this part # for l in range(length): for j in range(length): if l == j: continue first = True for k in range(length): for i in range(length): if k == i: continue if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") lp_file.write("Binary\n") for k in range(length): for l in range(length): for i in range(length): if i == k: continue for j in range(length): if j == l: continue lp_file.write( "P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j) + "\n") for i in range(length): for j in range(length): lp_file.write("M" + "i" + str(i) + "j" + str(j) + "\n") lp_file.write("End\n") def solve_lp_matrix(lp_file_name, matrix_1, matrix_2, length): cp_lp = cplex.Cplex(lp_file_name) cp_lp.set_results_stream(None) cp_lp.parameters.threads.set(1) # cp_lp.parameters.mip.tolerances.mipgap = 0.0001 # cp_lp.parameters.mip.strategy.probe.set(3) try: cp_lp.solve() except: print("Exception raised during solve") return """ for k in range(length): for l in range(length): for i in range(k+1, length): if k == i: continue for j in range(l+1, length): if l == j: continue A = "P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j) if int(cp_lp.solution.get_values(A)) == 1: print(A) """ """ for i in range(length): for j in range(length): A = "M" + "i" + str(i) + "j" + str(j) if int(cp_lp.solution.get_values(A)) == 1: print(A) """ # print(cp_lp.solution.get_objective_value()) return cp_lp.solution.get_objective_value() # SPEARMAN - old def generate_ilp_distance(lp_file_name, votes_1, votes_2, params, metric_name): lp_file = open(lp_file_name, 'w') lp_file.write("Minimize\n") # obj: ") first = True for k in range(params['voters']): for l in range(params['voters']): vote_1 = votes_1[k] vote_2 = votes_2[l] if metric_name == 'spearman': pote_1 = [0] * params['candidates'] pote_2 = [0] * params['candidates'] for i in range(params['candidates']): pote_1[vote_1[i]] = i pote_2[vote_2[i]] = i for i in range(params['candidates']): for j in range(params['candidates']): if not first: lp_file.write(" + ") first = False if metric_name == "spearman": weight = abs(pote_1[i] - pote_2[j]) elif metric_name == "alt": weight = float(abs(pote_1[i] - pote_2[j]) ** (2)) / float( 1. + min(pote_1[i], pote_2[j])) elif metric_name == 'hamming': weight = hamming(vote_1, vote_2) else: weight = 0 lp_file.write( str(weight) + " P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str( j)) lp_file.write("\n") lp_file.write("Subject To\n") for k in range(params['voters']): for l in range(params['voters']): for i in range(params['candidates']): for j in range(params['candidates']): lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "M" + "i" + str(i) + "j" + str(j) + " <= 0" + "\n") lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" - " + "N" + "k" + str(k) + "l" + str(l) + " <= 0" + "\n") for k in range(params['voters']): first = True for l in range(params['voters']): if not first: lp_file.write(" + ") first = False lp_file.write("N" + "k" + str(k) + "l" + str(l)) lp_file.write(" = 1" + "\n") for l in range(params['voters']): first = True for k in range(params['voters']): if not first: lp_file.write(" + ") first = False lp_file.write("N" + "k" + str(k) + "l" + str(l)) lp_file.write(" = 1" + "\n") for i in range(params['candidates']): first = True for j in range(params['candidates']): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") for j in range(params['candidates']): first = True for i in range(params['candidates']): if not first: lp_file.write(" + ") first = False lp_file.write("M" + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # IMPORTANT # for k in range(params['voters']): for i in range(params['candidates']): first = True for l in range(params['voters']): for j in range(params['candidates']): if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") # IMPORTANT # for l in range(params['voters']): for j in range(params['candidates']): first = True for k in range(params['voters']): for i in range(params['candidates']): if not first: lp_file.write(" + ") first = False lp_file.write("P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j)) lp_file.write(" = 1" + "\n") lp_file.write("Binary\n") for k in range(params['voters']): for l in range(params['voters']): for i in range(params['candidates']): for j in range(params['candidates']): lp_file.write( "P" + "k" + str(k) + "l" + str(l) + "i" + str(i) + "j" + str(j) + "\n") for k in range(params['voters']): for l in range(params['voters']): lp_file.write("N" + "k" + str(k) + "l" + str(l) + "\n") for i in range(params['candidates']): for j in range(params['candidates']): lp_file.write("M" + "i" + str(i) + "j" + str(j) + "\n") lp_file.write("End\n") def solve_ilp_distance(lp_file_name, votes_1, votes_2, params, metric_name): cp_lp = cplex.Cplex(lp_file_name) cp_lp.set_results_stream(None) # cp_lp.parameters.threads.set(1) # cp_lp.parameters.timelimit.set(60) try: cp_lp.solve() except cplex.CplexSolverError: print("Exception raised during solve") return total = cp_lp.solution.get_objective_value() return total def spearman_cost(single_votes_1, single_votes_2, params, perm): pote_1 = [0] * params['candidates'] pote_2 = [0] * params['candidates'] for i in range(params['candidates']): id_1 = int(perm[0][single_votes_1[i]]) pote_1[id_1] = i id_2 = int(perm[1][single_votes_2[i]]) pote_2[id_2] = i total_diff = 0. for i in range(params['candidates']): local_diff = float(abs(pote_1[i] - pote_2[i])) total_diff += local_diff return total_diff def spearman_cost_per_cand(single_votes_1, single_votes_2, params, perm): pote_1 = [0] * params['candidates'] pote_2 = [0] * params['candidates'] for i in range(params['candidates']): id_1 = int(perm[0][single_votes_1[i]]) pote_1[id_1] = i id_2 = int(perm[1][single_votes_2[i]]) pote_2[id_2] = i cand_diff = [0] * params['candidates'] for i in range(params['candidates']): cand_diff[i] = float(abs(pote_1[i] - pote_2[i])) return cand_diff def remove_lp_file(path): """ Safely remove lp file """ try: os.remove(path) except: pass

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8c670bd80a26f44623ab287ff7aadedb2184afce

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py

Python

finley/test/python/run_trilinosComplexSolversOnFinley.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

finley/test/python/run_trilinosComplexSolversOnFinley.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

finley/test/python/run_trilinosComplexSolversOnFinley.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

############################################################################## # # Copyright (c) 2003-2018 by The University of Queensland # http://www.uq.edu.au # # Primary Business: Queensland, Australia # Licensed under the Apache License, version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # # Development until 2012 by Earth Systems Science Computational Center (ESSCC) # Development 2012-2013 by School of Earth Sciences # Development from 2014 by Centre for Geoscience Computing (GeoComp) # ############################################################################## from __future__ import print_function, division __copyright__="""Copyright (c) 2003-2018 by The University of Queensland http://www.uq.edu.au Primary Business: Queensland, Australia""" __license__="""Licensed under the Open Software License version 3.0 http://www.opensource.org/licenses/osl-3.0.php""" __url__="https://launchpad.net/escript-finley" """ Test suite for PDE solvers on finley """ from test_simplesolve import ComplexSolveTestCase, ComplexSolveTestCaseOrder2 import esys.escriptcore.utestselect as unittest from esys.escriptcore.testing import * from esys.escript import Data, Solution, Vector, hasFeature from esys.finley import Rectangle, Brick from esys.escript.linearPDEs import SolverOptions HAVE_TRILINOS = hasFeature('trilinos') skip_muelu_long = False #hasFeature("longindex") # number of elements in the spatial directions NE0=12 NE1=12 NE2=8 OPTIMIZE=True @unittest.skipIf(not HAVE_TRILINOS, "Trilinos not available") class ComplexSolveOnTrilinos(ComplexSolveTestCase): pass @unittest.skipIf(not HAVE_TRILINOS, "Trilinos not available") class ComplexSolveOnTrilinosOrder2(ComplexSolveTestCaseOrder2): pass ## direct class Test_ComplexSolveFinleyRect_Order1_Trilinos_Direct(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.DIRECT def tearDown(self): del self.domain ## direct class Test_ComplexSolveFinleyRect_Order2_Trilinos_Direct(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.DIRECT def tearDown(self): del self.domain ## direct class Test_ComplexSolveFinleyBrick_Order1_Trilinos_Direct(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.DIRECT def tearDown(self): del self.domain ## direct class Test_ComplexSolveFinleyBrick_Order2_Trilinos_Direct(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.DIRECT def tearDown(self): del self.domain ### BiCGStab + Jacobi @unittest.skip("fails with Nan during iteration.") class Test_ComplexSolveFinleyRect_Order1_Trilinos_BICGSTAB_Jacobi(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain @unittest.skip("fails with Nan during iteration.") class Test_ComplexSolveFinleyRect_Order2_Trilinos_BICGSTAB_Jacobi(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_BICGSTAB_Jacobi(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain @unittest.skip("convergence problems") class Test_ComplexSolveFinleyBrick_Order2_Trilinos_BICGSTAB_Jacobi(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.JACOBI self.REL_TOL=5.e-6 def tearDown(self): del self.domain ### PCG + Jacobi class Test_ComplexSolveFinleyRect_Order1_Trilinos_PCG_Jacobi(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain class Test_ComplexSolveFinleyRect_Order2_Trilinos_PCG_Jacobi(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_PCG_Jacobi(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order2_Trilinos_PCG_Jacobi(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.JACOBI def tearDown(self): del self.domain ### BiCGStab + Gauss-Seidel class Test_ComplexSolveFinleyRect_Order1_Trilinos_BICGSTAB_GaussSeidel(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.GAUSS_SEIDEL def tearDown(self): del self.domain class Test_ComplexSolveFinleyRect_Order2_Trilinos_BICGSTAB_GaussSeidel(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.GAUSS_SEIDEL def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_BICGSTAB_GaussSeidel(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.GAUSS_SEIDEL def tearDown(self): del self.domain @unittest.skip("convergence problems") class Test_ComplexSolveFinleyBrick_Order2_Trilinos_BICGSTAB_GaussSeidel(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.GAUSS_SEIDEL self.REL_TOL=5.e-6 def tearDown(self): del self.domain ### PCG + AMG @unittest.skipIf(skip_muelu_long, "MueLu AMG incompatible with index type long") class Test_ComplexSolveFinleyRect_Order1_Trilinos_PCG_AMG(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.AMG def tearDown(self): del self.domain @unittest.skipIf(skip_muelu_long, "MueLu AMG incompatible with index type long") class Test_ComplexSolveFinleyRect_Order2_Trilinos_PCG_AMG(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.AMG def tearDown(self): del self.domain @unittest.skipIf(skip_muelu_long, "MueLu AMG incompatible with index type long") class Test_ComplexSolveFinleyBrick_Order1_Trilinos_PCG_AMG(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.AMG def tearDown(self): del self.domain @unittest.skipIf(skip_muelu_long, "MueLu AMG incompatible with index type long") class Test_ComplexSolveFinleyBrick_Order2_Trilinos_PCG_AMG(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.AMG def tearDown(self): del self.domain ### BiCGStab + RILU class Test_ComplexSolveFinleyRect_Order1_Trilinos_BICGSTAB_RILU(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyRect_Order2_Trilinos_BICGSTAB_RILU(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_BICGSTAB_RILU(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order2_Trilinos_BICGSTAB_RILU(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.BICGSTAB self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain ### PCG + RILU class Test_ComplexSolveFinleyRect_Order1_Trilinos_PCG_RILU(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyRect_Order2_Trilinos_PCG_RILU(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_PCG_RILU(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order2_Trilinos_PCG_RILU(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.RILU def tearDown(self): del self.domain ### PCG + ILUT class Test_ComplexSolveFinleyRect_Order1_Trilinos_PCG_ILUT(ComplexSolveOnTrilinos): def setUp(self): self.domain = Rectangle(NE0, NE1, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.ILUT def tearDown(self): del self.domain class Test_ComplexSolveFinleyRect_Order2_Trilinos_PCG_ILUT(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Rectangle(NE0, NE1, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.ILUT def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order1_Trilinos_PCG_ILUT(ComplexSolveOnTrilinos): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 1, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.ILUT def tearDown(self): del self.domain class Test_ComplexSolveFinleyBrick_Order2_Trilinos_PCG_ILUT(ComplexSolveOnTrilinosOrder2): def setUp(self): self.domain = Brick(NE0, NE1, NE2, 2, optimize=OPTIMIZE) self.package = SolverOptions.TRILINOS self.method = SolverOptions.PCG self.preconditioner = SolverOptions.ILUT def tearDown(self): del self.domain if __name__ == '__main__': run_tests(__name__, exit_on_failure=True)

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null

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1

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8

8c792c195a520a7c0db7d35e44bfe815ead9cb45

1,067

py

Python

data-engineering/labs-concurrent-distributed-programming/config.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

3

2018-12-11T03:03:15.000Z

2020-02-11T19:38:07.000Z

data-engineering/labs-concurrent-distributed-programming/config.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

6

2017-05-31T20:58:32.000Z

2021-02-16T23:13:15.000Z

data-engineering/labs-concurrent-distributed-programming/config.py

xR86/ml-stuff

2a1b79408897171b78032ff2531ab6f8b18be6c4

[ "MIT" ]

null

CONFIG = dict({ 'demo_battery': [ { 'protocol': 'UDP', 'setup': 'single', 'mode': 'simple', 'size': '1MB', 'test_count': 1 } ], 'full_battery': [ { 'protocol': 'UDP', 'setup': 'single', 'mode': 'simple', 'size': '1MB', 'test_count': 3 }, { 'protocol': 'UDP', 'setup': 'single', 'mode': 'simple', 'size': '10MB', 'test_count': 3 }, { 'protocol': 'UDP', 'setup': 'multi', 'mode': 'simple', 'size': '1MB', 'test_count': 3 }, { 'protocol': 'UDP', 'setup': 'multi', 'mode': 'simple', 'size': '10MB', 'test_count': 3 }, { 'protocol': 'TCP', 'setup': 'single', 'mode': 'simple', 'size': '1MB', 'test_count': 3 }, { 'protocol': 'TCP', 'setup': 'single', 'mode': 'simple', 'size': '10MB', 'test_count': 3 }, { 'protocol': 'TCP', 'setup': 'multi', 'mode': 'simple', 'size': '1MB', 'test_count': 3 }, { 'protocol': 'TCP', 'setup': 'multi', 'mode': 'simple', 'size': '10MB', 'test_count': 3 }, ] })

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0.279288

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null

0

1

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null

0

8

8c7dbf9e8e3f22fa948818b20f9b851b189bc115

80

py

Python

src/hello/helloWorld.py

codeWriter9/python-starter

1786406cffad3253bbeb3362c800d296641f953b

[ "MIT" ]

null

src/hello/helloWorld.py

codeWriter9/python-starter

1786406cffad3253bbeb3362c800d296641f953b

[ "MIT" ]

null

src/hello/helloWorld.py

codeWriter9/python-starter

1786406cffad3253bbeb3362c800d296641f953b

[ "MIT" ]

null

from hello import helloWorldUtil def hello_world(): return "Hello World!!"

16

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null

0

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8

5069cddc609260e3cfc5a9be138b957bc7229fcd

5,693

py

Python

imcsdk/mometa/aaa/AaaUserPasswordExpiration.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/aaa/AaaUserPasswordExpiration.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/aaa/AaaUserPasswordExpiration.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

1

2019-11-10T18:42:04.000Z

"""This module contains the general information for AaaUserPasswordExpiration ManagedObject.""" from ...imcmo import ManagedObject from ...imccoremeta import MoPropertyMeta, MoMeta from ...imcmeta import VersionMeta class AaaUserPasswordExpirationConsts: ADMIN_ACTION_RESTORE_DEFAULT = "restore-default" class AaaUserPasswordExpiration(ManagedObject): """This is AaaUserPasswordExpiration class.""" consts = AaaUserPasswordExpirationConsts() naming_props = set([]) mo_meta = { "classic": MoMeta("AaaUserPasswordExpiration", "aaaUserPasswordExpiration", "password-expiration", VersionMeta.Version301c, "InputOutput", 0x1ff, [], ["admin", "user"], [u'aaaUserEp'], [], ["Get", "Set"]), "modular": MoMeta("AaaUserPasswordExpiration", "aaaUserPasswordExpiration", "password-expiration", VersionMeta.Version301c, "InputOutput", 0x1ff, [], ["admin", "user"], [u'aaaUserEp'], [], ["Get", "Set"]) } prop_meta = { "classic": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["restore-default"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version301c, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "password_expiry_duration": MoPropertyMeta("password_expiry_duration", "passwordExpiryDuration", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x8, None, None, None, [], ["0-3650"]), "password_grace_period": MoPropertyMeta("password_grace_period", "passwordGracePeriod", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x10, None, None, None, [], ["0-5"]), "password_history": MoPropertyMeta("password_history", "passwordHistory", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x20, None, None, None, [], ["0-5"]), "password_notification_period": MoPropertyMeta("password_notification_period", "passwordNotificationPeriod", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x40, None, None, None, [], ["0-15"]), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x80, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x100, None, None, None, ["", "created", "deleted", "modified", "removed"], []), }, "modular": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["restore-default"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version301c, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "password_expiry_duration": MoPropertyMeta("password_expiry_duration", "passwordExpiryDuration", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x8, None, None, None, [], ["0-3650"]), "password_grace_period": MoPropertyMeta("password_grace_period", "passwordGracePeriod", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x10, None, None, None, [], ["0-5"]), "password_history": MoPropertyMeta("password_history", "passwordHistory", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x20, None, None, None, [], ["0-5"]), "password_notification_period": MoPropertyMeta("password_notification_period", "passwordNotificationPeriod", "uint", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x40, None, None, None, [], ["0-15"]), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x80, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x100, None, None, None, ["", "created", "deleted", "modified", "removed"], []), }, } prop_map = { "classic": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "passwordExpiryDuration": "password_expiry_duration", "passwordGracePeriod": "password_grace_period", "passwordHistory": "password_history", "passwordNotificationPeriod": "password_notification_period", "rn": "rn", "status": "status", }, "modular": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "passwordExpiryDuration": "password_expiry_duration", "passwordGracePeriod": "password_grace_period", "passwordHistory": "password_history", "passwordNotificationPeriod": "password_notification_period", "rn": "rn", "status": "status", }, } def __init__(self, parent_mo_or_dn, **kwargs): self._dirty_mask = 0 self.admin_action = None self.child_action = None self.password_expiry_duration = None self.password_grace_period = None self.password_history = None self.password_notification_period = None self.status = None ManagedObject.__init__(self, "AaaUserPasswordExpiration", parent_mo_or_dn, **kwargs)

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0

null

0

1

0

null

0

1

0

8

5085ede90f07436e9c56aac40f444c1ff54931e8

221

py

Python

tests/micropython/viper_const.py

sebi5361/micropython

6c054cd124bc6229bee127128264dc0829dea53c

[ "MIT" ]

198

2017-03-24T23:23:54.000Z

2022-01-07T07:14:00.000Z

tests/micropython/viper_const.py

sebi5361/micropython

6c054cd124bc6229bee127128264dc0829dea53c

[ "MIT" ]

509

2017-03-28T19:37:18.000Z

2022-03-31T20:31:43.000Z

tests/micropython/viper_const.py

sebi5361/micropython

6c054cd124bc6229bee127128264dc0829dea53c

[ "MIT" ]

187

2017-03-24T23:23:58.000Z

2022-02-25T01:48:45.000Z

# test loading constants in viper functions @micropython.viper def f(): return b'bytes' print(f()) @micropython.viper def f(): @micropython.viper def g() -> int: return 123 return g print(f()())

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0

null

1

0

null

0

1

0

1

0

7

508ad3506135a4f73824667aeafcdbeaf42b8c78

1,499

py

Python

tests/test_common.py

pythonerheaven/helloworld

b00746d5f0eff7aa65719b0d22525c387860e991

[ "Apache-2.0" ]

2

2018-02-02T04:42:12.000Z

2021-01-21T07:03:36.000Z

tests/test_common.py

htq310542/helloworld

90605529ef67c0c3397bbd8f00336962e80aa863

[ "Apache-2.0" ]

null

tests/test_common.py

htq310542/helloworld

90605529ef67c0c3397bbd8f00336962e80aa863

[ "Apache-2.0" ]

1

2018-02-02T04:42:13.000Z

hk_trading = 1 is_hk_trade = 1 us_trading = 1 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 1 is_hk_trade = 1 us_trading = 0 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 1 is_hk_trade = 0 us_trading = 0 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 0 is_hk_trade = 0 us_trading = 0 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 0 is_hk_trade = 1 us_trading = 1 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 0 is_hk_trade = 0 us_trading = 1 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 0 is_hk_trade = 1 us_trading = 0 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) hk_trading = 1 is_hk_trade = 0 us_trading = 1 trading = hk_trading if is_hk_trade else us_trading print(trading) print(hk_trading) def get_adder(summand1): """Returns a function that adds numbers to a given number.""" def adder(summand2): return summand1 + summand2 return adder sum = get_adder(1)(2) print(sum) i = 4 def foo(x): def bar(): print i # ... # A bunch of code here # ... for i in x: # Ah, i *is* local to Foo, so this is what Bar sees print i bar() return i print( foo([1,2,3]) )

16.11828

67

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3.743494

0.167286

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0.142999

0.762661

0.752731

0

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0

null

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null

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null

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0

1

0

1

0

null

0

1

0

8

50981f545f36d31d30d83fafc02796279a8dfaf9

4,327

py

Python

test/pyaz/keyvault/storage/sas_definition/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/keyvault/storage/sas_definition/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/keyvault/storage/sas_definition/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from .... pyaz_utils import get_cli_name, get_params def create(disabled=None, vault_name, account_name, name, template_uri, sas_type, validity_period, __SAS_DEFINITION_ATTRIBUTES=None, tags=None): params = get_params(locals()) command = "az keyvault storage sas-definition create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(vault_name, account_name, maxresults=None): params = get_params(locals()) command = "az keyvault storage sas-definition list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(id=None, vault_name=None, account_name=None, name=None): params = get_params(locals()) command = "az keyvault storage sas-definition show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def update(disabled=None, id=None, vault_name=None, account_name=None, name=None, template_uri=None, sas_type=None, validity_period=None, __SAS_DEFINITION_ATTRIBUTES=None, tags=None): params = get_params(locals()) command = "az keyvault storage sas-definition update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(id=None, vault_name=None, account_name=None, name=None): params = get_params(locals()) command = "az keyvault storage sas-definition delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list_deleted(vault_name, account_name, maxresults=None): params = get_params(locals()) command = "az keyvault storage sas-definition list-deleted " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show_deleted(vault_name, account_name, name): params = get_params(locals()) command = "az keyvault storage sas-definition show-deleted " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def recover(vault_name, account_name, name): params = get_params(locals()) command = "az keyvault storage sas-definition recover " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

37.301724

183

0.676681

536

4,327

5.380597

0.102612

0.07767

0.055479

0.058252

0.926838

0.913662

0

0.004676

0.209152

4,327

115

184

37.626087

0.838106

0

0.830189

0

0.09822

0

null

0

0.018868

null

0.226415

0

null

0

1

0

1

0

null

0

1

0

8

50a5c4f656459f8146fc8237fc681a772ae68c63

26,628

py

Python

influxdb_client/service/invocable_scripts_service.py

wasted925/influxdb-client-python

afee531fd1dc244b3d9d270e262b0a1865a7c89d

[ "MIT" ]

380

2019-09-19T20:20:10.000Z

2022-03-31T12:59:33.000Z

influxdb_client/service/invocable_scripts_service.py

wasted925/influxdb-client-python

afee531fd1dc244b3d9d270e262b0a1865a7c89d

[ "MIT" ]

362

2019-09-16T11:53:29.000Z

2022-03-29T03:11:59.000Z

influxdb_client/service/invocable_scripts_service.py

wasted925/influxdb-client-python

afee531fd1dc244b3d9d270e262b0a1865a7c89d

[ "MIT" ]

130

2019-09-20T08:02:35.000Z

2022-03-30T16:44:45.000Z

# coding: utf-8 """ Influx OSS API Service. No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 OpenAPI spec version: 2.0.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six class InvocableScriptsService(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): # noqa: E501,D401,D403 """InvocableScriptsService - a operation defined in OpenAPI.""" if api_client is None: raise ValueError("Invalid value for `api_client`, must be defined.") self.api_client = api_client def delete_scripts_id(self, script_id, **kwargs): # noqa: E501,D401,D403 """Delete a script. Deletes a script and all associated records. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_scripts_id(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The ID of the script to delete. (required) :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_scripts_id_with_http_info(script_id, **kwargs) # noqa: E501 else: (data) = self.delete_scripts_id_with_http_info(script_id, **kwargs) # noqa: E501 return data def delete_scripts_id_with_http_info(self, script_id, **kwargs): # noqa: E501,D401,D403 """Delete a script. Deletes a script and all associated records. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_scripts_id_with_http_info(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The ID of the script to delete. (required) :return: None If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['script_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') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_scripts_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'script_id' is set if ('script_id' not in local_var_params or local_var_params['script_id'] is None): raise ValueError("Missing the required parameter `script_id` when calling `delete_scripts_id`") # noqa: E501 collection_formats = {} path_params = {} if 'script_id' in local_var_params: path_params['scriptID'] = local_var_params['script_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts/{scriptID}', '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, urlopen_kw=urlopen_kw) def get_scripts(self, **kwargs): # noqa: E501,D401,D403 """List scripts. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_scripts(async_req=True) >>> result = thread.get() :param async_req bool :param int limit: The number of scripts to return. :param int offset: The offset for pagination. :return: Scripts If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_scripts_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_scripts_with_http_info(**kwargs) # noqa: E501 return data def get_scripts_with_http_info(self, **kwargs): # noqa: E501,D401,D403 """List scripts. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_scripts_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int limit: The number of scripts to return. :param int offset: The offset for pagination. :return: Scripts If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_scripts" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params: query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Scripts', # 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, urlopen_kw=urlopen_kw) def get_scripts_id(self, script_id, **kwargs): # noqa: E501,D401,D403 """Retrieve a script. Uses script ID to retrieve details of an invocable script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_scripts_id(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The script ID. (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_scripts_id_with_http_info(script_id, **kwargs) # noqa: E501 else: (data) = self.get_scripts_id_with_http_info(script_id, **kwargs) # noqa: E501 return data def get_scripts_id_with_http_info(self, script_id, **kwargs): # noqa: E501,D401,D403 """Retrieve a script. Uses script ID to retrieve details of an invocable script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_scripts_id_with_http_info(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The script ID. (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['script_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') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_scripts_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'script_id' is set if ('script_id' not in local_var_params or local_var_params['script_id'] is None): raise ValueError("Missing the required parameter `script_id` when calling `get_scripts_id`") # noqa: E501 collection_formats = {} path_params = {} if 'script_id' in local_var_params: path_params['scriptID'] = local_var_params['script_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts/{scriptID}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Script', # 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, urlopen_kw=urlopen_kw) def patch_scripts_id(self, script_id, script_update_request, **kwargs): # noqa: E501,D401,D403 """Update a script. Updates properties (`name`, `description`, and `script`) of an invocable script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_scripts_id(script_id, script_update_request, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The script ID. (required) :param ScriptUpdateRequest script_update_request: Script update to apply (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_scripts_id_with_http_info(script_id, script_update_request, **kwargs) # noqa: E501 else: (data) = self.patch_scripts_id_with_http_info(script_id, script_update_request, **kwargs) # noqa: E501 return data def patch_scripts_id_with_http_info(self, script_id, script_update_request, **kwargs): # noqa: E501,D401,D403 """Update a script. Updates properties (`name`, `description`, and `script`) of an invocable script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_scripts_id_with_http_info(script_id, script_update_request, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: The script ID. (required) :param ScriptUpdateRequest script_update_request: Script update to apply (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['script_id', 'script_update_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') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_scripts_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'script_id' is set if ('script_id' not in local_var_params or local_var_params['script_id'] is None): raise ValueError("Missing the required parameter `script_id` when calling `patch_scripts_id`") # noqa: E501 # verify the required parameter 'script_update_request' is set if ('script_update_request' not in local_var_params or local_var_params['script_update_request'] is None): raise ValueError("Missing the required parameter `script_update_request` when calling `patch_scripts_id`") # noqa: E501 collection_formats = {} path_params = {} if 'script_id' in local_var_params: path_params['scriptID'] = local_var_params['script_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'script_update_request' in local_var_params: body_params = local_var_params['script_update_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts/{scriptID}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Script', # 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, urlopen_kw=urlopen_kw) def post_scripts(self, script_create_request, **kwargs): # noqa: E501,D401,D403 """Create a script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_scripts(script_create_request, async_req=True) >>> result = thread.get() :param async_req bool :param ScriptCreateRequest script_create_request: The script to create. (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_scripts_with_http_info(script_create_request, **kwargs) # noqa: E501 else: (data) = self.post_scripts_with_http_info(script_create_request, **kwargs) # noqa: E501 return data def post_scripts_with_http_info(self, script_create_request, **kwargs): # noqa: E501,D401,D403 """Create a script. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_scripts_with_http_info(script_create_request, async_req=True) >>> result = thread.get() :param async_req bool :param ScriptCreateRequest script_create_request: The script to create. (required) :return: Script If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['script_create_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') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_scripts" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'script_create_request' is set if ('script_create_request' not in local_var_params or local_var_params['script_create_request'] is None): raise ValueError("Missing the required parameter `script_create_request` when calling `post_scripts`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'script_create_request' in local_var_params: body_params = local_var_params['script_create_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Script', # 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, urlopen_kw=urlopen_kw) def post_scripts_id_invoke(self, script_id, **kwargs): # noqa: E501,D401,D403 """Invoke a script. Invokes a script and substitutes `params` keys referenced in the script with `params` key-values sent in the request body. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_scripts_id_invoke(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: (required) :param ScriptInvocationParams script_invocation_params: :return: str If the method is called asynchronously, returns the request thread. """ # noqa: E501 kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_scripts_id_invoke_with_http_info(script_id, **kwargs) # noqa: E501 else: (data) = self.post_scripts_id_invoke_with_http_info(script_id, **kwargs) # noqa: E501 return data def post_scripts_id_invoke_with_http_info(self, script_id, **kwargs): # noqa: E501,D401,D403 """Invoke a script. Invokes a script and substitutes `params` keys referenced in the script with `params` key-values sent in the request body. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_scripts_id_invoke_with_http_info(script_id, async_req=True) >>> result = thread.get() :param async_req bool :param str script_id: (required) :param ScriptInvocationParams script_invocation_params: :return: str If the method is called asynchronously, returns the request thread. """ # noqa: E501 local_var_params = locals() all_params = ['script_id', 'script_invocation_params'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') all_params.append('urlopen_kw') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_scripts_id_invoke" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'script_id' is set if ('script_id' not in local_var_params or local_var_params['script_id'] is None): raise ValueError("Missing the required parameter `script_id` when calling `post_scripts_id_invoke`") # noqa: E501 collection_formats = {} path_params = {} if 'script_id' in local_var_params: path_params['scriptID'] = local_var_params['script_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'script_invocation_params' in local_var_params: body_params = local_var_params['script_invocation_params'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 # urlopen optional setting urlopen_kw = None if 'urlopen_kw' in kwargs: urlopen_kw = kwargs['urlopen_kw'] return self.api_client.call_api( '/api/v2/scripts/{scriptID}/invoke', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='str', # 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, urlopen_kw=urlopen_kw)

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0.808171

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0

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50e05bdf7e63b090fd2258b624bea8c108fd4a66

123,504

py

Python

embyapi/api/library_service_api.py

stanionascu/python-embyapi

a3f7aa49aea4052277cc43605c0d89bc6ff21913

[ "BSD-3-Clause" ]

null

embyapi/api/library_service_api.py

stanionascu/python-embyapi

a3f7aa49aea4052277cc43605c0d89bc6ff21913

[ "BSD-3-Clause" ]

null

embyapi/api/library_service_api.py

stanionascu/python-embyapi

a3f7aa49aea4052277cc43605c0d89bc6ff21913

[ "BSD-3-Clause" ]

null

# coding: utf-8 """ Emby Server API Explore the Emby Server API # noqa: E501 OpenAPI spec version: 4.1.1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from embyapi.api_client import ApiClient class LibraryServiceApi(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 delete_items(self, ids, **kwargs): # noqa: E501 """Deletes an item from the library and file system # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_items(ids, async_req=True) >>> result = thread.get() :param async_req bool :param str ids: Ids (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_items_with_http_info(ids, **kwargs) # noqa: E501 else: (data) = self.delete_items_with_http_info(ids, **kwargs) # noqa: E501 return data def delete_items_with_http_info(self, ids, **kwargs): # noqa: E501 """Deletes an item from the library and file system # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_items_with_http_info(ids, async_req=True) >>> result = thread.get() :param async_req bool :param str ids: Ids (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['ids'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_items" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'ids' is set if ('ids' not in params or params['ids'] is None): raise ValueError("Missing the required parameter `ids` when calling `delete_items`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'ids' in params: query_params.append(('Ids', params['ids'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items', '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_items_by_id(self, id, **kwargs): # noqa: E501 """Deletes an item from the library and file system # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_items_by_id(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item 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_items_by_id_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.delete_items_by_id_with_http_info(id, **kwargs) # noqa: E501 return data def delete_items_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Deletes an item from the library and file system # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_items_by_id_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['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_items_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `delete_items_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{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_albums_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds albums similar to a given album. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_albums_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_albums_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_albums_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_albums_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds albums similar to a given album. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_albums_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_albums_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_albums_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Albums/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_artists_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds albums similar to a given album. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_artists_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_artists_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_artists_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_artists_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds albums similar to a given album. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_artists_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_artists_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_artists_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Artists/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_games_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds games similar to a given game. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_games_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_games_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_games_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_games_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds games similar to a given game. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_games_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_games_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_games_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Games/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_items_by_id_ancestors(self, id, **kwargs): # noqa: E501 """Gets all parents of an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_ancestors(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :return: list[BaseItemDto] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_ancestors_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_ancestors_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_ancestors_with_http_info(self, id, **kwargs): # noqa: E501 """Gets all parents of an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_ancestors_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :return: list[BaseItemDto] If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'user_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_items_by_id_ancestors" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_ancestors`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/Ancestors', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[BaseItemDto]', # 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_items_by_id_criticreviews(self, id, **kwargs): # noqa: E501 """Gets critic reviews for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_criticreviews(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param int start_index: Optional. The record index to start at. All items with a lower index will be dropped from the results. :param int limit: Optional. The maximum number of records to return :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_criticreviews_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_criticreviews_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_criticreviews_with_http_info(self, id, **kwargs): # noqa: E501 """Gets critic reviews for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_criticreviews_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param int start_index: Optional. The record index to start at. All items with a lower index will be dropped from the results. :param int limit: Optional. The maximum number of records to return :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'start_index', 'limit'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_items_by_id_criticreviews" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_criticreviews`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'start_index' in params: query_params.append(('StartIndex', params['start_index'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/CriticReviews', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_items_by_id_deleteinfo(self, id, **kwargs): # noqa: E501 """Gets delete info for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_deleteinfo(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :return: LibraryDeleteInfo If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_deleteinfo_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_deleteinfo_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_deleteinfo_with_http_info(self, id, **kwargs): # noqa: E501 """Gets delete info for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_deleteinfo_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :return: LibraryDeleteInfo If the method is called asynchronously, returns the request thread. """ all_params = ['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_items_by_id_deleteinfo" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_deleteinfo`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/DeleteInfo', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LibraryDeleteInfo', # 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_items_by_id_download(self, id, **kwargs): # noqa: E501 """Downloads item media # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_download(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item 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.get_items_by_id_download_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_download_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_download_with_http_info(self, id, **kwargs): # noqa: E501 """Downloads item media # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_download_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['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_items_by_id_download" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_download`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/Download', 'GET', 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_items_by_id_file(self, id, **kwargs): # noqa: E501 """Gets the original file of an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_file(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item 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.get_items_by_id_file_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_file_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_file_with_http_info(self, id, **kwargs): # noqa: E501 """Gets the original file of an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_file_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['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_items_by_id_file" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_file`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/File', 'GET', 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_items_by_id_similar(self, id, **kwargs): # noqa: E501 """Gets similar items # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Gets similar items # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_items_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_items_by_id_thememedia(self, id, **kwargs): # noqa: E501 """Gets theme videos and songs for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_thememedia(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: AllThemeMediaResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_thememedia_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_thememedia_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_thememedia_with_http_info(self, id, **kwargs): # noqa: E501 """Gets theme videos and songs for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_thememedia_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: AllThemeMediaResult If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'user_id', 'inherit_from_parent'] # 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_items_by_id_thememedia" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_thememedia`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'inherit_from_parent' in params: query_params.append(('InheritFromParent', params['inherit_from_parent'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/ThemeMedia', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AllThemeMediaResult', # 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_items_by_id_themesongs(self, id, **kwargs): # noqa: E501 """Gets theme songs for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_themesongs(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: ThemeMediaResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_themesongs_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_themesongs_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_themesongs_with_http_info(self, id, **kwargs): # noqa: E501 """Gets theme songs for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_themesongs_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: ThemeMediaResult If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'user_id', 'inherit_from_parent'] # 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_items_by_id_themesongs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_themesongs`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'inherit_from_parent' in params: query_params.append(('InheritFromParent', params['inherit_from_parent'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/ThemeSongs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ThemeMediaResult', # 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_items_by_id_themevideos(self, id, **kwargs): # noqa: E501 """Gets theme videos for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_themevideos(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: ThemeMediaResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_by_id_themevideos_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_items_by_id_themevideos_with_http_info(id, **kwargs) # noqa: E501 return data def get_items_by_id_themevideos_with_http_info(self, id, **kwargs): # noqa: E501 """Gets theme videos for an item # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_by_id_themevideos_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str user_id: Optional. Filter by user id, and attach user data :param bool inherit_from_parent: Determines whether or not parent items should be searched for theme media. :return: ThemeMediaResult If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'user_id', 'inherit_from_parent'] # 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_items_by_id_themevideos" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_items_by_id_themevideos`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'inherit_from_parent' in params: query_params.append(('InheritFromParent', params['inherit_from_parent'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/{Id}/ThemeVideos', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ThemeMediaResult', # 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_items_counts(self, **kwargs): # noqa: E501 """get_items_counts # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_counts(async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: Optional. Get counts from a specific user's library. :param bool is_favorite: Optional. Get counts of favorite items :return: ItemCounts If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_items_counts_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_items_counts_with_http_info(**kwargs) # noqa: E501 return data def get_items_counts_with_http_info(self, **kwargs): # noqa: E501 """get_items_counts # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_items_counts_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: Optional. Get counts from a specific user's library. :param bool is_favorite: Optional. Get counts of favorite items :return: ItemCounts If the method is called asynchronously, returns the request thread. """ all_params = ['user_id', 'is_favorite'] # 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_items_counts" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'is_favorite' in params: query_params.append(('IsFavorite', params['is_favorite'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Items/Counts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ItemCounts', # 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_libraries_availableoptions(self, **kwargs): # noqa: E501 """get_libraries_availableoptions # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_libraries_availableoptions(async_req=True) >>> result = thread.get() :param async_req bool :return: LibraryLibraryOptionsResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_libraries_availableoptions_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_libraries_availableoptions_with_http_info(**kwargs) # noqa: E501 return data def get_libraries_availableoptions_with_http_info(self, **kwargs): # noqa: E501 """get_libraries_availableoptions # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_libraries_availableoptions_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: LibraryLibraryOptionsResult If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_libraries_availableoptions" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Libraries/AvailableOptions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LibraryLibraryOptionsResult', # 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_library_mediafolders(self, **kwargs): # noqa: E501 """Gets all user media folders. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_library_mediafolders(async_req=True) >>> result = thread.get() :param async_req bool :param bool is_hidden: Optional. Filter by folders that are marked hidden, or not. :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_library_mediafolders_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_library_mediafolders_with_http_info(**kwargs) # noqa: E501 return data def get_library_mediafolders_with_http_info(self, **kwargs): # noqa: E501 """Gets all user media folders. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_library_mediafolders_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool is_hidden: Optional. Filter by folders that are marked hidden, or not. :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['is_hidden'] # 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_library_mediafolders" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'is_hidden' in params: query_params.append(('IsHidden', params['is_hidden'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/MediaFolders', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_library_physicalpaths(self, **kwargs): # noqa: E501 """Gets a list of physical paths from virtual folders # noqa: E501 Requires authentication as administrator # 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_library_physicalpaths(async_req=True) >>> result = thread.get() :param async_req bool :return: list[str] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_library_physicalpaths_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_library_physicalpaths_with_http_info(**kwargs) # noqa: E501 return data def get_library_physicalpaths_with_http_info(self, **kwargs): # noqa: E501 """Gets a list of physical paths from virtual folders # noqa: E501 Requires authentication as administrator # 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_library_physicalpaths_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[str] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_library_physicalpaths" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/PhysicalPaths', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[str]', # 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_library_selectablemediafolders(self, **kwargs): # noqa: E501 """Gets all user media folders. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_library_selectablemediafolders(async_req=True) >>> result = thread.get() :param async_req bool :return: list[LibraryMediaFolder] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_library_selectablemediafolders_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_library_selectablemediafolders_with_http_info(**kwargs) # noqa: E501 return data def get_library_selectablemediafolders_with_http_info(self, **kwargs): # noqa: E501 """Gets all user media folders. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_library_selectablemediafolders_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[LibraryMediaFolder] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_library_selectablemediafolders" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/SelectableMediaFolders', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[LibraryMediaFolder]', # 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_movies_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds movies and trailers similar to a given movie. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_movies_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_movies_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_movies_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_movies_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds movies and trailers similar to a given movie. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_movies_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_movies_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_movies_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Movies/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_shows_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds tv shows similar to a given one. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_shows_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_shows_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_shows_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_shows_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds tv shows similar to a given one. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_shows_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_shows_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_shows_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Shows/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # 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_trailers_by_id_similar(self, id, **kwargs): # noqa: E501 """Finds movies and trailers similar to a given trailer. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_trailers_by_id_similar(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_trailers_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_trailers_by_id_similar_with_http_info(id, **kwargs) # noqa: E501 return data def get_trailers_by_id_similar_with_http_info(self, id, **kwargs): # noqa: E501 """Finds movies and trailers similar to a given trailer. # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_trailers_by_id_similar_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Item Id (required) :param str include_item_types: Optional. If specified, results will be filtered based on item type. This allows multiple, comma delimeted. :param bool enable_images: Optional, include image information in output :param bool enable_user_data: Optional, include user data :param int image_type_limit: Optional, the max number of images to return, per image type :param str enable_image_types: Optional. The image types to include in the output. :param str user_id: Optional. Filter by user id, and attach user data :param int limit: Optional. The maximum number of records to return :param str fields: Optional. Specify additional fields of information to return in the output. This allows multiple, comma delimeted. Options: Budget, Chapters, DateCreated, Genres, HomePageUrl, IndexOptions, MediaStreams, Overview, ParentId, Path, People, ProviderIds, PrimaryImageAspectRatio, Revenue, SortName, Studios, Taglines, TrailerUrls :return: QueryResultBaseItemDto If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'include_item_types', 'enable_images', 'enable_user_data', 'image_type_limit', 'enable_image_types', 'user_id', 'limit', 'fields'] # 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_trailers_by_id_similar" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_trailers_by_id_similar`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['Id'] = params['id'] # noqa: E501 query_params = [] if 'include_item_types' in params: query_params.append(('IncludeItemTypes', params['include_item_types'])) # noqa: E501 if 'enable_images' in params: query_params.append(('EnableImages', params['enable_images'])) # noqa: E501 if 'enable_user_data' in params: query_params.append(('EnableUserData', params['enable_user_data'])) # noqa: E501 if 'image_type_limit' in params: query_params.append(('ImageTypeLimit', params['image_type_limit'])) # noqa: E501 if 'enable_image_types' in params: query_params.append(('EnableImageTypes', params['enable_image_types'])) # noqa: E501 if 'user_id' in params: query_params.append(('UserId', params['user_id'])) # noqa: E501 if 'limit' in params: query_params.append(('Limit', params['limit'])) # noqa: E501 if 'fields' in params: query_params.append(('Fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Trailers/{Id}/Similar', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='QueryResultBaseItemDto', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_media_updated(self, body, **kwargs): # noqa: E501 """Reports that new movies have been added by an external source # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_media_updated(body, async_req=True) >>> result = thread.get() :param async_req bool :param LibraryPostUpdatedMedia body: PostUpdatedMedia (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_media_updated_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.post_library_media_updated_with_http_info(body, **kwargs) # noqa: E501 return data def post_library_media_updated_with_http_info(self, body, **kwargs): # noqa: E501 """Reports that new movies have been added by an external source # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_media_updated_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param LibraryPostUpdatedMedia body: PostUpdatedMedia (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_media_updated" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `post_library_media_updated`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Media/Updated', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_movies_added(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_movies_added(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_movies_added_with_http_info(**kwargs) # noqa: E501 else: (data) = self.post_library_movies_added_with_http_info(**kwargs) # noqa: E501 return data def post_library_movies_added_with_http_info(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_movies_added_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_movies_added" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Movies/Added', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_movies_updated(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_movies_updated(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_movies_updated_with_http_info(**kwargs) # noqa: E501 else: (data) = self.post_library_movies_updated_with_http_info(**kwargs) # noqa: E501 return data def post_library_movies_updated_with_http_info(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_movies_updated_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_movies_updated" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Movies/Updated', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_refresh(self, **kwargs): # noqa: E501 """Starts a library scan # noqa: E501 Requires authentication as administrator # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_refresh(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_refresh_with_http_info(**kwargs) # noqa: E501 else: (data) = self.post_library_refresh_with_http_info(**kwargs) # noqa: E501 return data def post_library_refresh_with_http_info(self, **kwargs): # noqa: E501 """Starts a library scan # noqa: E501 Requires authentication as administrator # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_refresh_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_refresh" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Refresh', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_series_added(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_series_added(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_series_added_with_http_info(**kwargs) # noqa: E501 else: (data) = self.post_library_series_added_with_http_info(**kwargs) # noqa: E501 return data def post_library_series_added_with_http_info(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_series_added_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_series_added" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Series/Added', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_library_series_updated(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_series_updated(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_library_series_updated_with_http_info(**kwargs) # noqa: E501 else: (data) = self.post_library_series_updated_with_http_info(**kwargs) # noqa: E501 return data def post_library_series_updated_with_http_info(self, **kwargs): # noqa: E501 """Deprecated. Use /Library/Media/Updated # noqa: E501 Requires authentication as user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_library_series_updated_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_library_series_updated" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['apikeyauth', 'embyauth'] # noqa: E501 return self.api_client.call_api( '/Library/Series/Updated', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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123,504

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null

0

1

0

1

0

null

0

8

50f1a935fc342c6cc7f4dadc08f4fbeaca65dfe0

98

py

Python

geometric_vector_perceptron/__init__.py

AspirinCode/geometric-vector-perceptron

0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d

[ "MIT" ]

null

geometric_vector_perceptron/__init__.py

AspirinCode/geometric-vector-perceptron

0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d

[ "MIT" ]

null

geometric_vector_perceptron/__init__.py

AspirinCode/geometric-vector-perceptron

0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d

[ "MIT" ]

1

2021-11-28T17:35:44.000Z

from geometric_vector_perceptron.geometric_vector_perceptron import GVP, GVPDropout, GVPLayerNorm

49

97

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98

7.727273

0.727273

0.352941

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0

1

0

1

0

7

e8440169ab6b1304cb155867cb0c8952ae9a4c3f

160

py

Python

ai_awesome/model.py

wiktorlazarski/ai-awesome-project-template

f4c93306e6ca7dc7f4fb1638e160eaa879a542b5

[ "Apache-2.0" ]

15

2022-01-22T13:58:10.000Z

2022-03-29T18:57:18.000Z

ai_awesome/model.py

wiktorlazarski/ai-awesome-project-template

f4c93306e6ca7dc7f4fb1638e160eaa879a542b5

[ "Apache-2.0" ]

null

ai_awesome/model.py

wiktorlazarski/ai-awesome-project-template

f4c93306e6ca7dc7f4fb1638e160eaa879a542b5

[ "Apache-2.0" ]

null

import torch class NeuralNet(torch.nn.Module): def __init__(self): pass def forward(self, X: torch.Tensor) -> torch.Tensor: return X

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0.2625

160

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0

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null

1

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0

null

0

1

0

1

0

1

0

7

2cf3d14001280f6546128060e4f38c1ea967b05e

1,449

py

Python

library/test/test_measures.py

pupuis/drep

f5f8d8029321a2f2160f443dbfe1387edb651568

[ "MIT" ]

null

library/test/test_measures.py

pupuis/drep

f5f8d8029321a2f2160f443dbfe1387edb651568

[ "MIT" ]

null

library/test/test_measures.py

pupuis/drep

f5f8d8029321a2f2160f443dbfe1387edb651568

[ "MIT" ]

null

import unittest import library.measures as measures import numpy as np class DummyEstimator: def __init__(self, y): self.y = y def predict(self, x, collapse = False): return self.y class MeasuresTest(unittest.TestCase): def test_diversity_on_completely_agreeing_estimators(self): estimators = [DummyEstimator(np.ones(3)), DummyEstimator(np.ones(3))] dataset = "dataset_text" self.assertEqual(measures.diversity(estimators, dataset), 0) def test_agreement_on_completely_agreeing_estimators(self): estimators = [DummyEstimator(np.ones(3)), DummyEstimator(np.ones(3))] dataset = "dataset_text" self.assertEqual(measures.agreement(estimators, dataset), 2) def test_diversity_on_completely_disagreeing_estimators(self): estimators = [DummyEstimator(np.ones(3)), DummyEstimator(-np.ones(3))] dataset = "dataset_text" self.assertEqual(measures.diversity(estimators, dataset), 2) def test_agreement_on_completely_disagreeing_estimators(self): estimators = [DummyEstimator(np.ones(3)), DummyEstimator(-np.ones(3))] dataset = "dataset_text" self.assertEqual(measures.agreement(estimators, dataset), -2) def test_diversity_with_only_one_estimator(self): estimators = [DummyEstimator(np.ones(3))] dataset = "dataset_text" self.assertEqual(measures.diversity(estimators, dataset), 2)

34.5

78

0.709455

164

1,449

6.060976

0.237805

0.144869

0.181087

0.190141

0.808853

0.760563

0.746479

0

0.011824

0.182885

1,449

41

79

35.341463

0.827703

0

0.37931

0

0.041408

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0.241379

false

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0.103448

0.034483

0.448276

0

null

0

1

0

null

0

1

0

9

2cfd67e6830225786889170f21bc719c86e4b8fd

130

py

Python

app/main/__init__.py

8by8-org/usvotes

e2af8b2d8b986bf36804bae1c784bc78b54dc412

[ "MIT" ]

null

app/main/__init__.py

8by8-org/usvotes

e2af8b2d8b986bf36804bae1c784bc78b54dc412

[ "MIT" ]

null

app/main/__init__.py

8by8-org/usvotes

e2af8b2d8b986bf36804bae1c784bc78b54dc412

[ "MIT" ]

1

2021-12-18T21:57:40.000Z

from flask import Blueprint main = Blueprint('main', __name__) from app.main import starter_views from app.main import error_pages

32.5

34

0.823077

20

130

5.05

0.55

0.257426

0.217822

0.336634

0

0.115385

130

4

35

32.5

0.878261

0

0.030534

0

1

0

false

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0.5

1

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null

1

0

1

0

null

0

1

0

1

0

7

fa32e749dd81bc046ff3f6ec56f42d7afed2980b

258

py

Python

pynumdiff/augmented_data/__init__.py

fossabot/PyNumDiff

dccad2ad7a875f2ecccb0db2bb6e2afa392916d1

[ "MIT" ]

null

pynumdiff/augmented_data/__init__.py

fossabot/PyNumDiff

dccad2ad7a875f2ecccb0db2bb6e2afa392916d1

[ "MIT" ]

null

pynumdiff/augmented_data/__init__.py

fossabot/PyNumDiff

dccad2ad7a875f2ecccb0db2bb6e2afa392916d1

[ "MIT" ]

null

from pynumdiff.augmented_data.__augmented_data__ import linearmodel as linearmodel from pynumdiff.augmented_data.__augmented_data__ import nonlinearmodel as nonlinearmodel from pynumdiff.augmented_data.__augmented_data__ import __integrate__ as __integrate__

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258

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0

null

0

1

0

1

0

1

0

7

fa4154e77a344515245e030a0334d98d42085174

15,536

py

Python

controlimcap/decoders/memory.py

SikandarBakht/asg2cap

d8a6360eaccdb8c3add5f9c4f6fd72764e47e762

[ "MIT" ]

169

2020-03-15T08:41:39.000Z

2022-03-30T09:36:17.000Z

controlimcap/decoders/memory.py

wtr850/asg2cap

97a1d866d4a2b86c1f474bb168518f97eb2f8b96

[ "MIT" ]

25

2020-05-23T15:14:00.000Z

2022-03-10T06:20:31.000Z

controlimcap/decoders/memory.py

wtr850/asg2cap

97a1d866d4a2b86c1f474bb168518f97eb2f8b96

[ "MIT" ]

25

2020-04-02T10:08:01.000Z

2021-12-09T12:10:10.000Z

import torch import torch.nn as nn import torch.nn.functional as F import caption.decoders.attention from framework.modules.embeddings import Embedding from framework.modules.global_attention import GlobalAttention from controlimcap.decoders.cfattention import ContentFlowAttentionDecoder class MemoryDecoder(caption.decoders.attention.BUTDAttnDecoder): def __init__(self, config): super().__init__(config) memory_size = self.config.attn_size if self.config.memory_same_key_value else self.config.attn_input_size self.memory_update_layer = nn.Sequential( nn.Linear(self.config.hidden_size + memory_size, memory_size), nn.ReLU(), nn.Linear(memory_size, memory_size * 2)) self.sentinal_layer = nn.Sequential( nn.Linear(self.config.hidden_size, self.config.hidden_size), nn.ReLU(), nn.Linear(self.config.hidden_size, 1)) def forward(self, inputs, enc_globals, enc_memories, enc_masks, return_attn=False): ''' Args: inputs: (batch, dec_seq_len) enc_globals: (batch, hidden_size) enc_memories: (batch, enc_seq_len, attn_input_size) enc_masks: (batch, enc_seq_len) Returns: logits: (batch*seq_len, num_words) ''' enc_seq_len = enc_memories.size(1) memory_keys, memory_values = self.gen_memory_key_value(enc_memories) states = self.init_dec_state(inputs.size(0)) # zero init state step_outs, step_attns = [], [] for t in range(inputs.size(1)): wordids = inputs[:, t] if t > 0 and self.config.schedule_sampling: sample_rate = torch.rand(wordids.size(0)).to(wordids.device) sample_mask = sample_rate < self.config.ss_rate prob = self.softmax(step_outs[-1]).detach() # detach grad sampled_wordids = torch.multinomial(prob, 1).view(-1) wordids.masked_scatter_(sample_mask, sampled_wordids) embed = self.embedding(wordids) h_attn_lstm, c_attn_lstm = self.attn_lstm( torch.cat([states[0][1], enc_globals, embed], dim=1), (states[0][0], states[1][0])) # attn_score: (batch, max_attn_len) attn_score, attn_memory = self.attn(h_attn_lstm, memory_keys, memory_values, enc_masks) step_attns.append(attn_score) h_lang_lstm, c_lang_lstm = self.lang_lstm( torch.cat([h_attn_lstm, attn_memory], dim=1), (states[0][1], states[1][1])) # write: update memory keys and values # (batch, enc_seq_len, hidden_size + attn_input_size) individual_vectors = torch.cat( [h_lang_lstm.unsqueeze(1).expand(-1, enc_seq_len, -1), enc_memories], 2) update_vectors = self.memory_update_layer(individual_vectors) memory_size = update_vectors.size(-1) // 2 erase_gates = torch.sigmoid(update_vectors[:, :, :memory_size]) add_vectors = update_vectors[:, :, memory_size:] # some words do not need to attend on visual nodes sentinal_gates = torch.sigmoid(self.sentinal_layer(h_lang_lstm)) memory_attn_score = attn_score * sentinal_gates enc_memories = enc_memories * (1 - memory_attn_score.unsqueeze(2) * erase_gates) \ + memory_attn_score.unsqueeze(2) * add_vectors memory_keys, memory_values = self.gen_memory_key_value(enc_memories) outs = h_lang_lstm logit = self.calc_logits_with_rnn_outs(outs) step_outs.append(logit) states = (torch.stack([h_attn_lstm, h_lang_lstm], dim=0), torch.stack([c_attn_lstm, c_lang_lstm], dim=0)) logits = torch.stack(step_outs, 1) logits = logits.view(-1, self.config.num_words) if return_attn: return logits, step_attns return logits def step_fn(self, words, step, **kwargs): states = kwargs['states'] enc_globals = kwargs['enc_globals'] enc_memories = kwargs['enc_memories'] memory_masks = kwargs['memory_masks'] enc_seq_len = enc_memories.size(1) embed = self.embedding(words.squeeze(1)) h_attn_lstm, c_attn_lstm = self.attn_lstm( torch.cat([states[0][1], enc_globals, embed], dim=1), (states[0][0], states[1][0])) memory_keys, memory_values = self.gen_memory_key_value(enc_memories) attn_score, attn_memory = self.attn(h_attn_lstm, memory_keys, memory_values, memory_masks) h_lang_lstm, c_lang_lstm = self.lang_lstm( torch.cat([h_attn_lstm, attn_memory], dim=1), (states[0][1], states[1][1])) logits = self.calc_logits_with_rnn_outs(h_lang_lstm) logprobs = self.log_softmax(logits) states = (torch.stack([h_attn_lstm, h_lang_lstm], dim=0), torch.stack([c_attn_lstm, c_lang_lstm], dim=0)) # write: update memory keys and values individual_vectors = torch.cat([h_lang_lstm.unsqueeze(1).expand(-1, enc_seq_len, -1), enc_memories], 2) update_vectors = self.memory_update_layer(individual_vectors) memory_size = update_vectors.size(-1) // 2 erase_gates = torch.sigmoid(update_vectors[:, :, :memory_size]) add_vectors = update_vectors[:, :, memory_size:] sentinal_gates = torch.sigmoid(self.sentinal_layer(h_lang_lstm)) memory_attn_score = attn_score * sentinal_gates enc_memories = enc_memories * (1 - memory_attn_score.unsqueeze(2) * erase_gates) \ + memory_attn_score.unsqueeze(2) * add_vectors kwargs['enc_memories'] = enc_memories kwargs['states'] = states return logprobs, kwargs def sample_decode(self, words, enc_globals, enc_memories, enc_masks, greedy=True, early_stop=True): ''' Args words: (batch, ) enc_states: (batch, hidden_size) enc_memories: (batch, enc_seq_len, attn_input_size) enc_masks: (batch, enc_seq_len) ''' states = self.init_dec_state(words.size(0)) seq_words, seq_word_logprobs = caption.utils.inference.sample_decode( words, self.step_fn, self.config.max_words_in_sent, greedy=greedy, early_stop=early_stop, states=states, enc_globals=enc_globals, enc_memories=enc_memories, memory_masks=enc_masks) return seq_words, seq_word_logprobs def beam_search_decode(self, words, enc_globals, enc_memories, enc_masks): states = self.init_dec_state(words.size(0)) sent_pool = caption.utils.inference.beam_search_decode(words, self.step_fn, self.config.max_words_in_sent, beam_width=self.config.beam_width, sent_pool_size=self.config.sent_pool_size, expand_fn=self.expand_fn, select_fn=self.select_fn, states=states, enc_globals=enc_globals, enc_memories=enc_memories, memory_masks=enc_masks) return sent_pool class MemoryFlowDecoder(ContentFlowAttentionDecoder): def __init__(self, config): super().__init__(config) memory_size = self.config.attn_size if self.config.memory_same_key_value else self.config.attn_input_size self.memory_update_layer = nn.Sequential( nn.Linear(self.config.hidden_size + memory_size, memory_size), nn.ReLU(), nn.Linear(memory_size, memory_size * 2)) self.sentinal_layer = nn.Sequential( nn.Linear(self.config.hidden_size, self.config.hidden_size), nn.ReLU(), nn.Linear(self.config.hidden_size, 1)) def forward(self, inputs, enc_globals, enc_memories, enc_masks, flow_edges, return_attn=False): ''' Args: inputs: (batch, dec_seq_len) enc_globals: (batch, hidden_size) enc_memories: (batch, enc_seq_len, attn_input_size) enc_masks: (batch, enc_seq_len) flow_edges: sparse matrix (num_nodes, num_nodes), num_nodes=batch*enc_seq_len Returns: logits: (batch*seq_len, num_words) ''' batch_size, max_attn_len = enc_masks.size() device = inputs.device # initialize states states = self.init_dec_state(batch_size) # zero init state # location attention: (batch, max_attn_len) prev_attn_score = torch.zeros((batch_size, max_attn_len)).to(device) prev_attn_score[:, 0] = 1 step_outs, step_attns = [], [] for t in range(inputs.size(1)): wordids = inputs[:, t] if t > 0 and self.config.schedule_sampling: sample_rate = torch.rand(wordids.size(0)).to(wordids.device) sample_mask = sample_rate < self.config.ss_rate prob = self.softmax(step_outs[-1]).detach() # detach grad sampled_wordids = torch.multinomial(prob, 1).view(-1) wordids.masked_scatter_(sample_mask, sampled_wordids) embed = self.embedding(wordids) h_attn_lstm, c_attn_lstm = self.attn_lstm( torch.cat([states[0][1], enc_globals, embed], dim=1), (states[0][0], states[1][0])) memory_keys, memory_values = self.gen_memory_key_value(enc_memories) prev_attn_memory = torch.sum(prev_attn_score.unsqueeze(2) * memory_values, 1) address_params = self.address_layer(torch.cat([h_attn_lstm, prev_attn_memory], 1)) interpolate_gate = torch.sigmoid(address_params[:, :1]) flow_gate = torch.softmax(address_params[:, 1:], dim=1) # content_attn_score: (batch, max_attn_len) content_attn_score, content_attn_memory = self.attn(h_attn_lstm, memory_keys, memory_values, enc_masks) # location attention flow: (batch, max_attn_len) flow_attn_score_1 = torch.einsum('bts,bs->bt', flow_edges, prev_attn_score) flow_attn_score_2 = torch.einsum('bts,bs->bt', flow_edges, flow_attn_score_1) # (batch, max_attn_len, 3) flow_attn_score = torch.stack([x.view(batch_size, max_attn_len) \ for x in [prev_attn_score, flow_attn_score_1, flow_attn_score_2]], 2) flow_attn_score = torch.sum(flow_gate.unsqueeze(1) * flow_attn_score, 2) # content + location interpolation attn_score = interpolate_gate * content_attn_score + (1 - interpolate_gate) * flow_attn_score # final attention step_attns.append(attn_score) prev_attn_score = attn_score attn_memory = torch.sum(attn_score.unsqueeze(2) * memory_values, 1) # next layer with attended context h_lang_lstm, c_lang_lstm = self.lang_lstm( torch.cat([h_attn_lstm, attn_memory], dim=1), (states[0][1], states[1][1])) # write: update memory keys and values individual_vectors = torch.cat([h_lang_lstm.unsqueeze(1).expand(-1, max_attn_len, -1), enc_memories], 2) update_vectors = self.memory_update_layer(individual_vectors) memory_size = update_vectors.size(-1) // 2 erase_gates = torch.sigmoid(update_vectors[:, :, :memory_size]) add_vectors = update_vectors[:, :, memory_size:] # some words do not need to attend on visual nodes sentinal_gates = torch.sigmoid(self.sentinal_layer(h_lang_lstm)) memory_attn_score = attn_score * sentinal_gates enc_memories = enc_memories * (1 - memory_attn_score.unsqueeze(2) * erase_gates) \ + memory_attn_score.unsqueeze(2) * add_vectors outs = h_lang_lstm logit = self.calc_logits_with_rnn_outs(outs) step_outs.append(logit) states = (torch.stack([h_attn_lstm, h_lang_lstm], dim=0), torch.stack([c_attn_lstm, c_lang_lstm], dim=0)) logits = torch.stack(step_outs, 1) logits = logits.view(-1, self.config.num_words) if return_attn: return logits, step_attns return logits def step_fn(self, words, step, **kwargs): states = kwargs['states'] enc_globals = kwargs['enc_globals'] enc_memories = kwargs['enc_memories'] memory_masks = kwargs['memory_masks'] prev_attn_score = kwargs['prev_attn_score'] flow_edges = kwargs['flow_edges'] batch_size, max_attn_len = memory_masks.size() memory_keys, memory_values = self.gen_memory_key_value(enc_memories) embed = self.embedding(words.squeeze(1)) h_attn_lstm, c_attn_lstm = self.attn_lstm( torch.cat([states[0][1], enc_globals, embed], dim=1), (states[0][0], states[1][0])) prev_attn_memory = torch.sum(prev_attn_score.unsqueeze(2) * memory_values, 1) address_params = self.address_layer(torch.cat([h_attn_lstm, prev_attn_memory], 1)) interpolate_gate = torch.sigmoid(address_params[:, :1]) flow_gate = torch.softmax(address_params[:, 1:], dim=1) # content_attn_score: (batch, max_attn_len) content_attn_score, content_attn_memory = self.attn(h_attn_lstm, memory_keys, memory_values, memory_masks) # location attention flow: (batch, max_attn_len) flow_attn_score_1 = torch.einsum('bts,bs->bt', flow_edges, prev_attn_score) flow_attn_score_2 = torch.einsum('bts,bs->bt', flow_edges, flow_attn_score_1) flow_attn_score = torch.stack([x.view(batch_size, max_attn_len) \ for x in [prev_attn_score, flow_attn_score_1, flow_attn_score_2]], 2) flow_attn_score = torch.sum(flow_gate.unsqueeze(1) * flow_attn_score, 2) # content + location interpolation attn_score = interpolate_gate * content_attn_score + (1 - interpolate_gate) * flow_attn_score # final attention attn_memory = torch.sum(attn_score.unsqueeze(2) * memory_values, 1) h_lang_lstm, c_lang_lstm = self.lang_lstm( torch.cat([h_attn_lstm, attn_memory], dim=1), (states[0][1], states[1][1])) logits = self.calc_logits_with_rnn_outs(h_lang_lstm) logprobs = self.log_softmax(logits) states = (torch.stack([h_attn_lstm, h_lang_lstm], dim=0), torch.stack([c_attn_lstm, c_lang_lstm], dim=0)) # write: update memory keys and values individual_vectors = torch.cat([h_lang_lstm.unsqueeze(1).expand(-1, max_attn_len, -1), enc_memories], 2) update_vectors = self.memory_update_layer(individual_vectors) memory_size = update_vectors.size(-1) // 2 erase_gates = torch.sigmoid(update_vectors[:, :, :memory_size]) add_vectors = update_vectors[:, :, memory_size:] sentinal_gates = torch.sigmoid(self.sentinal_layer(h_lang_lstm)) memory_attn_score = attn_score * sentinal_gates enc_memories = enc_memories * (1 - memory_attn_score.unsqueeze(2) * erase_gates) \ + memory_attn_score.unsqueeze(2) * add_vectors kwargs['states'] = states kwargs['enc_memories'] = enc_memories kwargs['prev_attn_score'] = attn_score return logprobs, kwargs def sample_decode(self, words, enc_globals, enc_memories, enc_masks, flow_edges, greedy=True): batch_size, max_attn_len = enc_masks.size() device = enc_masks.device states = self.init_dec_state(batch_size) prev_attn_score = torch.zeros((batch_size, max_attn_len)).to(device) prev_attn_score[:, 0] = 1 seq_words, seq_word_logprobs = caption.utils.inference.sample_decode( words, self.step_fn, self.config.max_words_in_sent, greedy=greedy, states=states, enc_globals=enc_globals, enc_memories=enc_memories, memory_masks=enc_masks, prev_attn_score=prev_attn_score, flow_edges=flow_edges) return seq_words, seq_word_logprobs def beam_search_decode(self, words, enc_globals, enc_memories, enc_masks, flow_edges): batch_size, max_attn_len = enc_masks.size() device = enc_masks.device states = self.init_dec_state(batch_size) prev_attn_score = torch.zeros((batch_size, max_attn_len)).to(device) prev_attn_score[:, 0] = 1 sent_pool = caption.utils.inference.beam_search_decode(words, self.step_fn, self.config.max_words_in_sent, beam_width=self.config.beam_width, sent_pool_size=self.config.sent_pool_size, expand_fn=self.expand_fn, select_fn=self.select_fn, enc_memories=enc_memories, memory_masks=enc_masks, states=states, enc_globals=enc_globals, prev_attn_score=prev_attn_score, flow_edges=flow_edges) return sent_pool

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null

0

7

d7286ce807fa966a7dd7ef3ae79c567719b439d5

108

py

Python

models/storage/__init__.py

smbdsbrain/sick_bastard

e99b7a5eca1d8e5f52676aabbabefd9aca5cd446

[ "WTFPL" ]

null

models/storage/__init__.py

smbdsbrain/sick_bastard

e99b7a5eca1d8e5f52676aabbabefd9aca5cd446

[ "WTFPL" ]

null

models/storage/__init__.py

smbdsbrain/sick_bastard

e99b7a5eca1d8e5f52676aabbabefd9aca5cd446

[ "WTFPL" ]

null

from models.storage.mongo import MongoStorage # noqa from models.storage.mongo import MongoStorage # noqa

36

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14

108

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12

ad38508dfcafee00022ef62d4fc31b2630397290

356

py

Python

mod1-previous-concepts/logs.py

uoc-santiloopz/graphs-complexity

2bd75155a10a4d6caa09db4cdc3ac37fb18e850a

[ "Apache-2.0" ]

null

mod1-previous-concepts/logs.py

uoc-santiloopz/graphs-complexity

2bd75155a10a4d6caa09db4cdc3ac37fb18e850a

[ "Apache-2.0" ]

null

mod1-previous-concepts/logs.py

uoc-santiloopz/graphs-complexity

2bd75155a10a4d6caa09db4cdc3ac37fb18e850a

[ "Apache-2.0" ]

null

def letUsCalculate(): print("Where n is the number of ELEMENTS in the SET, and R is the samples taken in the function\n") print("///////////////////////////////\n") print("///////////////////////////////\n") print("///////////////////////////////\n") print("///////////////////////////////\n") print("NOW.... LET US CALCULATE!!!\n")

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8

ad4e9582098f8dbd96fd4f1e4574056d47540639

44,585

py

Python

venv/Lib/site-packages/pyo/lib/randoms.py

mintzer/pupillometry-rf-back

cfa86fa984a49dce0123798f8de5b838c02e10d5

[ "CC-BY-4.0" ]

null

venv/Lib/site-packages/pyo/lib/randoms.py

mintzer/pupillometry-rf-back

cfa86fa984a49dce0123798f8de5b838c02e10d5

[ "CC-BY-4.0" ]

null

venv/Lib/site-packages/pyo/lib/randoms.py

mintzer/pupillometry-rf-back

cfa86fa984a49dce0123798f8de5b838c02e10d5

[ "CC-BY-4.0" ]

null

""" Set of objects that implement different kinds of random noise generators. """ from __future__ import absolute_import """ Copyright 2009-2015 Olivier Belanger This file is part of pyo, a python module to help digital signal processing script creation. pyo is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. pyo is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with pyo. If not, see <http://www.gnu.org/licenses/>. """ from ._core import * from ._maps import * class Randi(PyoObject): """ Periodic pseudo-random generator with interpolation. Randi generates a pseudo-random number between `min` and `max` values at a frequency specified by `freq` parameter. Randi will produce straight-line interpolation between current number and the next. :Parent: :py:class:`PyoObject` :Args: min: float or PyoObject, optional Minimum value for the random generation. Defaults to 0. max: float or PyoObject, optional Maximum value for the random generation. Defaults to 1. freq: float or PyoObject, optional Polling frequency. Defaults to 1. >>> s = Server().boot() >>> s.start() >>> freq = Randi(500, 3000, 4) >>> noze = Noise().mix(2) >>> a = Biquad(noze, freq=freq, q=5, type=2, mul=.5).out() """ def __init__(self, min=0.0, max=1.0, freq=1.0, mul=1, add=0): pyoArgsAssert(self, "OOOOO", min, max, freq, mul, add) PyoObject.__init__(self, mul, add) self._min = min self._max = max self._freq = freq min, max, freq, mul, add, lmax = convertArgsToLists(min, max, freq, mul, add) self._base_objs = [ Randi_base(wrap(min, i), wrap(max, i), wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax) ] self._init_play() def setMin(self, x): """ Replace the `min` attribute. :Args: x: float or PyoObject new `min` attribute. """ pyoArgsAssert(self, "O", x) self._min = x x, lmax = convertArgsToLists(x) [obj.setMin(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setMax(self, x): """ Replace the `max` attribute. :Args: x: float or PyoObject new `max` attribute. """ pyoArgsAssert(self, "O", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0.0, 1.0, "lin", "min", self._min), SLMap(1.0, 2.0, "lin", "max", self._max), SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def min(self): """float or PyoObject. Minimum value.""" return self._min @min.setter def min(self, x): self.setMin(x) @property def max(self): """float or PyoObject. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) class Randh(PyoObject): """ Periodic pseudo-random generator. Randh generates a pseudo-random number between `min` and `max` values at a frequency specified by `freq` parameter. Randh will hold generated value until next generation. :Parent: :py:class:`PyoObject` :Args: min: float or PyoObject, optional Minimum value for the random generation. Defaults to 0. max: float or PyoObject, optional Maximum value for the random generation. Defaults to 1. freq: float or PyoObject, optional Polling frequency. Defaults to 1. >>> s = Server().boot() >>> s.start() >>> freq = Randh(500, 3000, 4) >>> noze = Noise().mix(2) >>> a = Biquad(noze, freq=freq, q=5, type=2, mul=.5).out() """ def __init__(self, min=0.0, max=1.0, freq=1.0, mul=1, add=0): pyoArgsAssert(self, "OOOOO", min, max, freq, mul, add) PyoObject.__init__(self, mul, add) self._min = min self._max = max self._freq = freq min, max, freq, mul, add, lmax = convertArgsToLists(min, max, freq, mul, add) self._base_objs = [ Randh_base(wrap(min, i), wrap(max, i), wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax) ] self._init_play() def setMin(self, x): """ Replace the `min` attribute. :Args: x: float or PyoObject new `min` attribute. """ pyoArgsAssert(self, "O", x) self._min = x x, lmax = convertArgsToLists(x) [obj.setMin(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setMax(self, x): """ Replace the `max` attribute. :Args: x: float or PyoObject new `max` attribute. """ pyoArgsAssert(self, "O", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0.0, 1.0, "lin", "min", self._min), SLMap(1.0, 2.0, "lin", "max", self._max), SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def min(self): """float or PyoObject. Minimum value.""" return self._min @min.setter def min(self, x): self.setMin(x) @property def max(self): """float or PyoObject. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) class Choice(PyoObject): """ Periodically choose a new value from a user list. Choice chooses a new value from a predefined list of floats `choice` at a frequency specified by `freq` parameter. Choice will hold choosen value until next generation. :Parent: :py:class:`PyoObject` :Args: choice: list of floats or list of lists of floats Possible values for the random generation. freq: float or PyoObject, optional Polling frequency. Defaults to 1. >>> s = Server().boot() >>> s.start() >>> freqs = midiToHz([60,62,64,65,67,69,71,72]) >>> rnd = Choice(choice=freqs, freq=[3,4]) >>> a = SineLoop(rnd, feedback=0.05, mul=.2).out() """ def __init__(self, choice, freq=1.0, mul=1, add=0): pyoArgsAssert(self, "lOOO", choice, freq, mul, add) PyoObject.__init__(self, mul, add) self._choice = choice self._freq = freq freq, mul, add, lmax = convertArgsToLists(freq, mul, add) if type(choice[0]) != list: self._base_objs = [Choice_base(choice, wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax)] else: choicelen = len(choice) lmax = max(choicelen, lmax) self._base_objs = [ Choice_base(wrap(choice, i), wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax) ] self._init_play() def setChoice(self, x): """ Replace the `choice` attribute. :Args: x: list of floats or list of lists of floats new `choice` attribute. """ pyoArgsAssert(self, "l", x) self._choice = x if type(x[0]) != list: [obj.setChoice(self._choice) for i, obj in enumerate(self._base_objs)] else: [obj.setChoice(wrap(self._choice, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul)] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def choice(self): """list of floats or list of lists of floats. Possible choices.""" return self._choice @choice.setter def choice(self, x): self.setChoice(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) class RandInt(PyoObject): """ Periodic pseudo-random integer generator. RandInt generates a pseudo-random integer number between 0 and `max` values at a frequency specified by `freq` parameter. RandInt will hold generated value until the next generation. :Parent: :py:class:`PyoObject` :Args: max: float or PyoObject, optional Maximum value for the random generation. Defaults to 100. freq: float or PyoObject, optional Polling frequency. Defaults to 1. >>> s = Server().boot() >>> s.start() >>> freq = RandInt(max=10, freq=5, mul=100, add=500) >>> jit = Randi(min=0.99, max=1.01, freq=[2.33,3.41]) >>> a = SineLoop(freq*jit, feedback=0.03, mul=.2).out() """ def __init__(self, max=100, freq=1.0, mul=1, add=0): pyoArgsAssert(self, "OOOO", max, freq, mul, add) PyoObject.__init__(self, mul, add) self._max = max self._freq = freq max, freq, mul, add, lmax = convertArgsToLists(max, freq, mul, add) self._base_objs = [RandInt_base(wrap(max, i), wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax)] self._init_play() def setMax(self, x): """ Replace the `max` attribute. :Args: x: float or PyoObject new `max` attribute. """ pyoArgsAssert(self, "O", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(1.0, 2.0, "lin", "max", self._max), SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def max(self): """float or PyoObject. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) class RandDur(PyoObject): """ Recursive time varying pseudo-random generator. RandDur generates a pseudo-random number between `min` and `max` arguments and uses that number to set the delay time before the next generation. RandDur will hold the generated value until next generation. :Parent: :py:class:`PyoObject` :Args: min: float or PyoObject, optional Minimum value for the random generation. Defaults to 0. max: float or PyoObject, optional Maximum value for the random generation. Defaults to 1. >>> s = Server().boot() >>> s.start() >>> dur = RandDur(min=[.05,0.1], max=[.4,.5]) >>> trig = Change(dur) >>> amp = TrigEnv(trig, table=HannTable(), dur=dur, mul=.2) >>> freqs = midiToHz([60,63,67,70,72]) >>> freq = TrigChoice(trig, choice=freqs) >>> a = LFO(freq=freq, type=2, mul=amp).out() """ def __init__(self, min=0.0, max=1.0, mul=1, add=0): pyoArgsAssert(self, "OOOO", min, max, mul, add) PyoObject.__init__(self, mul, add) self._min = min self._max = max min, max, mul, add, lmax = convertArgsToLists(min, max, mul, add) self._base_objs = [RandDur_base(wrap(min, i), wrap(max, i), wrap(mul, i), wrap(add, i)) for i in range(lmax)] self._init_play() def setMin(self, x): """ Replace the `min` attribute. :Args: x: float or PyoObject new `min` attribute. """ pyoArgsAssert(self, "O", x) self._min = x x, lmax = convertArgsToLists(x) [obj.setMin(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setMax(self, x): """ Replace the `max` attribute. :Args: x: float or PyoObject new `max` attribute. """ pyoArgsAssert(self, "O", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0.0, 1.0, "lin", "min", self._min), SLMap(1.0, 2.0, "lin", "max", self._max), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def min(self): """float or PyoObject. Minimum value.""" return self._min @min.setter def min(self, x): self.setMin(x) @property def max(self): """float or PyoObject. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) class Xnoise(PyoObject): """ X-class pseudo-random generator. Xnoise implements a few of the most common noise distributions. Each distribution generates values in the range 0 and 1. :Parent: :py:class:`PyoObject` :Args: dist: string or int, optional Distribution type. Defaults to 0. freq: float or PyoObject, optional Polling frequency. Defaults to 1. x1: float or PyoObject, optional First parameter. Defaults to 0.5. x2: float or PyoObject, optional Second parameter. Defaults to 0.5. .. note:: Available distributions are: 0. uniform 1. linear minimum 2. linear maximum 3. triangular 4. exponential minimum 5. exponential maximum 6. double (bi)exponential 7. cauchy 8. weibull 9. gaussian 10. poisson 11. walker (drunk) 12. loopseg (drunk with looped segments) Depending on the distribution, `x1` and `x2` parameters are applied as follow (names as string, or associated number can be used as `dist` parameter): 0. uniform - x1: not used - x2: not used 1. linear_min - x1: not used - x2: not used 2. linear_max - x1: not used - x2: not used 3. triangle - x1: not used - x2: not used 4. expon_min - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 5. expon_max - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 6. biexpon - x1: bandwidth {0 = huge bandwidth -> 10 = narrow bandwidth} - x2: not used 7. cauchy - x1: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} - x2: not used 8. weibull - x1: mean location {0 -> 1} - x2: shape {0.5 = linear min, 1.5 = expon min, 3.5 = gaussian} 9. gaussian - x1: mean location {0 -> 1} - x2: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} 10. poisson - x1: gravity center {0 = low values -> 10 = high values} - x2: compress/expand range {0.1 = full compress -> 4 full expand} 11. walker - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} 12. loopseg - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} >>> s = Server().boot() >>> s.start() >>> lfo = Phasor(.1, 0, .5, .15) >>> freq = Xnoise(dist=12, freq=8, x1=1, x2=lfo, mul=1000, add=500) >>> jit = Randi(min=0.99, max=1.01, freq=[2.33,3.41]) >>> a = SineLoop(freq*jit, feedback=0.03, mul=.2).out() """ def __init__(self, dist=0, freq=1.0, x1=0.5, x2=0.5, mul=1, add=0): pyoArgsAssert(self, "OOOOO", freq, x1, x2, mul, add) PyoObject.__init__(self, mul, add) self._dist = dist self._freq = freq self._x1 = x1 self._x2 = x2 dist, freq, x1, x2, mul, add, lmax = convertArgsToLists(dist, freq, x1, x2, mul, add) for i, t in enumerate(dist): if type(t) in [bytes_t, unicode_t]: dist[i] = XNOISE_DICT.get(t, 0) self._base_objs = [ Xnoise_base(wrap(dist, i), wrap(freq, i), wrap(x1, i), wrap(x2, i), wrap(mul, i), wrap(add, i)) for i in range(lmax) ] self._init_play() def setDist(self, x): """ Replace the `dist` attribute. :Args: x: string or int new `dist` attribute. """ self._dist = x x, lmax = convertArgsToLists(x) for i, t in enumerate(x): if type(t) in [bytes_t, unicode_t]: x[i] = XNOISE_DICT.get(t, 0) [obj.setType(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setX1(self, x): """ Replace the `x1` attribute. :Args: x: float or PyoObject new `x1` attribute. """ pyoArgsAssert(self, "O", x) self._x1 = x x, lmax = convertArgsToLists(x) [obj.setX1(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setX2(self, x): """ Replace the `x2` attribute. :Args: x: float or PyoObject new `x2` attribute. """ pyoArgsAssert(self, "O", x) self._x2 = x x, lmax = convertArgsToLists(x) [obj.setX2(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0, 12, "lin", "dist", self._dist, res="int", dataOnly=True), SLMap(0.001, 200.0, "log", "freq", self._freq), SLMap(0, 1, "lin", "x1", self._x1), SLMap(0, 1, "lin", "x2", self._x2), SLMap(0, 2500, "lin", "mul", self._mul), SLMap(0, 2500, "lin", "add", self._add), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def dist(self): """string or int. Distribution type.""" return self._dist @dist.setter def dist(self, x): self.setDist(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) @property def x1(self): """float or PyoObject. First parameter.""" return self._x1 @x1.setter def x1(self, x): self.setX1(x) @property def x2(self): """float or PyoObject. Second parameter.""" return self._x2 @x2.setter def x2(self, x): self.setX2(x) class XnoiseMidi(PyoObject): """ X-class midi notes pseudo-random generator. XnoiseMidi implements a few of the most common noise distributions. Each distribution generates integer values in the range defined with `mrange` parameter and output can be scaled on midi notes, hertz or transposition factor. :Parent: :py:class:`PyoObject` :Args: dist: string or int, optional Distribution type. Defaults to 0. freq: float or PyoObject, optional Polling frequency. Defaults to 1. x1: float or PyoObject, optional First parameter. Defaults to 0.5. x2: float or PyoObject, optional Second parameter. Defaults to 0.5. scale: int {0, 1, 2}, optional Output format. 0 = Midi, 1 = Hertz, 2 = transposition factor. In the transposition mode, the central key (the key where there is no transposition) is (`minrange` + `maxrange`) / 2. Defaults to 0. mrange: tuple of int, optional Minimum and maximum possible values, in Midi notes. Available only at initialization time. Defaults to (0, 127). .. note:: Available distributions are: 0. uniform 1. linear minimum 2. linear maximum 3. triangular 4. exponential minimum 5. exponential maximum 6. double (bi)exponential 7. cauchy 8. weibull 9. gaussian 10. poisson 11. walker (drunk) 12. loopseg (drunk with looped segments) Depending on the distribution, `x1` and `x2` parameters are applied as follow (names as string, or associated number can be used as `dist` parameter): 0. uniform - x1: not used - x2: not used 1. linear_min - x1: not used - x2: not used 2. linear_max - x1: not used - x2: not used 3. triangle - x1: not used - x2: not used 4. expon_min - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 5. expon_max - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 6. biexpon - x1: bandwidth {0 = huge bandwidth -> 10 = narrow bandwidth} - x2: not used 7. cauchy - x1: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} - x2: not used 8. weibull - x1: mean location {0 -> 1} - x2: shape {0.5 = linear min, 1.5 = expon min, 3.5 = gaussian} 9. gaussian - x1: mean location {0 -> 1} - x2: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} 10. poisson - x1: gravity center {0 = low values -> 10 = high values} - x2: compress/expand range {0.1 = full compress -> 4 full expand} 11. walker - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} 12. loopseg - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} >>> s = Server().boot() >>> s.start() >>> l = Phasor(.4) >>> rnd = XnoiseMidi('loopseg', freq=8, x1=1, x2=l, scale=0, mrange=(60,96)) >>> freq = Snap(rnd, choice=[0, 2, 3, 5, 7, 8, 11], scale=1) >>> jit = Randi(min=0.99, max=1.01, freq=[2.33,3.41]) >>> a = SineLoop(freq*jit, feedback=0.03, mul=.2).out() """ def __init__(self, dist=0, freq=1.0, x1=0.5, x2=0.5, scale=0, mrange=(0, 127), mul=1, add=0): pyoArgsAssert(self, "OOOixOO", freq, x1, x2, scale, mrange, mul, add) PyoObject.__init__(self, mul, add) self._dist = dist self._freq = freq self._x1 = x1 self._x2 = x2 self._scale = scale self._mrange = mrange dist, freq, x1, x2, scale, mrange, mul, add, lmax = convertArgsToLists( dist, freq, x1, x2, scale, mrange, mul, add ) for i, t in enumerate(dist): if type(t) in [bytes_t, unicode_t]: dist[i] = XNOISE_DICT.get(t, 0) self._base_objs = [ XnoiseMidi_base( wrap(dist, i), wrap(freq, i), wrap(x1, i), wrap(x2, i), wrap(scale, i), wrap(mrange, i), wrap(mul, i), wrap(add, i), ) for i in range(lmax) ] self._init_play() def setDist(self, x): """ Replace the `dist` attribute. :Args: x: string or int new `dist` attribute. """ self._dist = x x, lmax = convertArgsToLists(x) for i, t in enumerate(x): if type(t) in [bytes_t, unicode_t]: x[i] = XNOISE_DICT.get(t, 0) [obj.setType(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setScale(self, x): """ Replace the `scale` attribute. Possible values are: 0. Midi notes 1. Hertz 2. transposition factor (centralkey is (`minrange` + `maxrange`) / 2 :Args: x: int {0, 1, 2} new `scale` attribute. """ pyoArgsAssert(self, "i", x) self._scale = x x, lmax = convertArgsToLists(x) [obj.setScale(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setRange(self, mini, maxi): """ Replace the `mrange` attribute. :Args: mini: int minimum output midi range. maxi: int maximum output midi range. """ pyoArgsAssert(self, "ii", mini, maxi) self._mrange = (mini, maxi) mini, maxi, lmax = convertArgsToLists(mini, maxi) [obj.setRange(wrap(mini, i), wrap(maxi, i)) for i, obj in enumerate(self._base_objs)] def setX1(self, x): """ Replace the `x1` attribute. :Args: x: float or PyoObject new `x1` attribute. """ pyoArgsAssert(self, "O", x) self._x1 = x x, lmax = convertArgsToLists(x) [obj.setX1(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setX2(self, x): """ Replace the `x2` attribute. :Args: x: float or PyoObject new `x2` attribute. """ pyoArgsAssert(self, "O", x) self._x2 = x x, lmax = convertArgsToLists(x) [obj.setX2(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0, 12, "lin", "dist", self._dist, res="int", dataOnly=True), SLMap(0.001, 200.0, "log", "freq", self._freq), SLMap(0, 1, "lin", "x1", self._x1), SLMap(0, 1, "lin", "x2", self._x2), SLMap(0, 2, "lin", "scale", self._scale, res="int", dataOnly=True), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def dist(self): """string or int. Distribution type.""" return self._dist @dist.setter def dist(self, x): self.setDist(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) @property def x1(self): """float or PyoObject. First parameter.""" return self._x1 @x1.setter def x1(self, x): self.setX1(x) @property def x2(self): """float or PyoObject. Second parameter.""" return self._x2 @x2.setter def x2(self, x): self.setX2(x) @property def scale(self): """int. Output format.""" return self._scale @scale.setter def scale(self, x): self.setScale(x) class XnoiseDur(PyoObject): """ Recursive time varying X-class pseudo-random generator. Xnoise implements a few of the most common noise distributions. Each distribution generates values in the range 0 to 1, which are then rescaled between `min` and `max` arguments. The object uses the generated value to set the delay time before the next generation. XnoiseDur will hold the value until next generation. :Parent: :py:class:`PyoObject` :Args: dist: string or int, optional Distribution type. Can be the name of the distribution as a string or its associated number. Defaults to 0. min: float or PyoObject, optional Minimum value for the random generation. Defaults to 0. max: float or PyoObject, optional Maximum value for the random generation. Defaults to 1. x1: float or PyoObject, optional First parameter. Defaults to 0.5. x2: float or PyoObject, optional Second parameter. Defaults to 0.5. .. note:: Available distributions are: 0. uniform 1. linear minimum 2. linear maximum 3. triangular 4. exponential minimum 5. exponential maximum 6. double (bi)exponential 7. cauchy 8. weibull 9. gaussian 10. poisson 11. walker (drunk) 12. loopseg (drunk with looped segments) Depending on the distribution, `x1` and `x2` parameters are applied as follow (names as string, or associated number can be used as `dist` parameter): 0. uniform - x1: not used - x2: not used 1. linear_min - x1: not used - x2: not used 2. linear_max - x1: not used - x2: not used 3. triangle - x1: not used - x2: not used 4. expon_min - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 5. expon_max - x1: slope {0 = no slope -> 10 = sharp slope} - x2: not used 6. biexpon - x1: bandwidth {0 = huge bandwidth -> 10 = narrow bandwidth} - x2: not used 7. cauchy - x1: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} - x2: not used 8. weibull - x1: mean location {0 -> 1} - x2: shape {0.5 = linear min, 1.5 = expon min, 3.5 = gaussian} 9. gaussian - x1: mean location {0 -> 1} - x2: bandwidth {0 = narrow bandwidth -> 10 = huge bandwidth} 10. poisson - x1: gravity center {0 = low values -> 10 = high values} - x2: compress/expand range {0.1 = full compress -> 4 full expand} 11. walker - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} 12. loopseg - x1: maximum value {0.1 -> 1} - x2: maximum step {0.1 -> 1} >>> s = Server().boot() >>> s.start() >>> dur = XnoiseDur(dist="expon_min", min=[.05,0.1], max=[.4,.5], x1=3) >>> trig = Change(dur) >>> amp = TrigEnv(trig, table=HannTable(), dur=dur, mul=.2) >>> freqs = midiToHz([60,63,67,70,72]) >>> freq = TrigChoice(trig, choice=freqs) >>> a = LFO(freq=freq, type=2, mul=amp).out() """ def __init__(self, dist=0, min=0.0, max=1.0, x1=0.5, x2=0.5, mul=1, add=0): pyoArgsAssert(self, "OOOOOO", min, max, x1, x2, mul, add) PyoObject.__init__(self, mul, add) self._dist = dist self._min = min self._max = max self._x1 = x1 self._x2 = x2 dist, min, max, x1, x2, mul, add, lmax = convertArgsToLists(dist, min, max, x1, x2, mul, add) for i, t in enumerate(dist): if type(t) in [bytes_t, unicode_t]: dist[i] = XNOISE_DICT.get(t, 0) self._base_objs = [ XnoiseDur_base( wrap(dist, i), wrap(min, i), wrap(max, i), wrap(x1, i), wrap(x2, i), wrap(mul, i), wrap(add, i) ) for i in range(lmax) ] self._init_play() def setDist(self, x): """ Replace the `dist` attribute. :Args: x: string or int new `dist` attribute. """ self._dist = x x, lmax = convertArgsToLists(x) for i, t in enumerate(x): if type(t) in [bytes_t, unicode_t]: x[i] = XNOISE_DICT.get(t, 0) [obj.setType(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setMin(self, x): """ Replace the `min` attribute. :Args: x: float or PyoObject new `min` attribute. """ pyoArgsAssert(self, "O", x) self._min = x x, lmax = convertArgsToLists(x) [obj.setMin(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setMax(self, x): """ Replace the `max` attribute. :Args: x: float or PyoObject new `max` attribute. """ pyoArgsAssert(self, "O", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setX1(self, x): """ Replace the `x1` attribute. :Args: x: float or PyoObject new `x1` attribute. """ pyoArgsAssert(self, "O", x) self._x1 = x x, lmax = convertArgsToLists(x) [obj.setX1(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setX2(self, x): """ Replace the `x2` attribute. :Args: x: float or PyoObject new `x2` attribute. """ pyoArgsAssert(self, "O", x) self._x2 = x x, lmax = convertArgsToLists(x) [obj.setX2(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0, 12, "lin", "dist", self._dist, res="int", dataOnly=True), SLMap(0, 20, "lin", "min", self._min), SLMap(0, 20, "lin", "max", self._max), SLMap(0, 1, "lin", "x1", self._x1), SLMap(0, 1, "lin", "x2", self._x2), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def dist(self): """string or int. Distribution type.""" return self._dist @dist.setter def dist(self, x): self.setDist(x) @property def min(self): """float or PyoObject. Minimum value.""" return self._min @min.setter def min(self, x): self.setMin(x) @property def max(self): """float or PyoObject. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) @property def x1(self): """float or PyoObject. First parameter.""" return self._x1 @x1.setter def x1(self, x): self.setX1(x) @property def x2(self): """float or PyoObject. Second parameter.""" return self._x2 @x2.setter def x2(self, x): self.setX2(x) class Urn(PyoObject): """ Periodic pseudo-random integer generator without duplicates. Urn generates a pseudo-random integer number between 0 and `max` values at a frequency specified by `freq` parameter. Urn will hold generated value until the next generation. Urn works like RandInt, except that it keeps track of each number which has been generated. After all numbers have been outputed, the pool is reseted and the object send a trigger signal. :Parent: :py:class:`PyoObject` :Args: max: int, optional Maximum value for the random generation. Defaults to 100. freq: float or PyoObject, optional Polling frequency. Defaults to 1. .. note:: Urn will send a trigger signal when the pool is empty. User can retreive the trigger streams by calling obj['trig']. Useful to synchronize other processes. >>> s = Server().boot() >>> s.start() >>> mid = Urn(max=12, freq=10, add=60) >>> fr = MToF(mid) >>> sigL = SineLoop(freq=fr, feedback=.08, mul=0.3).out() >>> amp = TrigExpseg(mid["trig"], [(0,0),(.01,.25),(1,0)]) >>> sigR = SineLoop(midiToHz(84), feedback=0.05, mul=amp).out(1) """ def __init__(self, max=100, freq=1.0, mul=1, add=0): pyoArgsAssert(self, "iOOO", max, freq, mul, add) PyoObject.__init__(self, mul, add) self._max = max self._freq = freq max, freq, mul, add, lmax = convertArgsToLists(max, freq, mul, add) self._base_objs = [Urn_base(wrap(max, i), wrap(freq, i), wrap(mul, i), wrap(add, i)) for i in range(lmax)] self._trig_objs = Dummy([TriggerDummy_base(obj) for obj in self._base_objs]) self._init_play() def out(self, chnl=0, inc=1, dur=0, delay=0): return self def setMax(self, x): """ Replace the `max` attribute. :Args: x: int new `max` attribute. """ pyoArgsAssert(self, "i", x) self._max = x x, lmax = convertArgsToLists(x) [obj.setMax(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(1, 1000, "lin", "max", self._max, res="int", dataOnly=True), SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def max(self): """int. Maximum value.""" return self._max @max.setter def max(self, x): self.setMax(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x) class LogiMap(PyoObject): """ Random generator based on the logistic map. The logistic equation (sometimes called the Verhulst model or logistic growth curve) is a model of population growth first published by Pierre Verhulst (1845, 1847). The logistic map is a discrete quadratic recurrence equation derived from the logistic equation that can be effectively used as a number generator that exhibit chaotic behavior. This object uses the following equation: x[n] = (r + 3) * x[n-1] * (1.0 - x[n-1]) where 'r' is the randomization factor between 0 and 1. :Parent: :py:class:`PyoObject` :Args: chaos: float or PyoObject, optional Randomization factor, 0.0 < chaos < 1.0. Defaults to 0.6. freq: float or PyoObject, optional Polling frequency. Defaults to 1. init: float, optional Initial value, 0.0 < init < 1.0. Defaults to 0.5. .. note:: The method play() resets the internal state to the initial value. >>> s = Server().boot() >>> s.start() >>> val = LogiMap([0.6,0.65], [4,8]) >>> mid = Round(Scale(val, 0, 1, [36,48], [72,84])) >>> hz = Snap(mid, [0,2,4,5,7,9,11], 1) >>> env = CosTable([(0,0), (32,1), (4064,1), (4096,0), (8192,0)]) >>> amp = TrigEnv(Change(val), table=env, dur=[.25,.125], mul=0.3) >>> osc = RCOsc(hz, mul=amp).out() """ def __init__(self, chaos=0.6, freq=1.0, init=0.5, mul=1, add=0): pyoArgsAssert(self, "OOnOO", chaos, freq, init, mul, add) PyoObject.__init__(self, mul, add) self._chaos = chaos self._freq = freq chaos, freq, init, mul, add, lmax = convertArgsToLists(chaos, freq, init, mul, add) self._base_objs = [ LogiMap_base(wrap(chaos, i), wrap(freq, i), wrap(init, i), wrap(mul, i), wrap(add, i)) for i in range(lmax) ] self._init_play() def out(self, chnl=0, inc=1, dur=0, delay=0): return self def setChaos(self, x): """ Replace the `chaos` attribute. :Args: x: float or PyoObject new `chaos` attribute. """ pyoArgsAssert(self, "O", x) self._chaos = x x, lmax = convertArgsToLists(x) [obj.setChaos(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def setFreq(self, x): """ Replace the `freq` attribute. :Args: x: float or PyoObject new `freq` attribute. """ pyoArgsAssert(self, "O", x) self._freq = x x, lmax = convertArgsToLists(x) [obj.setFreq(wrap(x, i)) for i, obj in enumerate(self._base_objs)] def ctrl(self, map_list=None, title=None, wxnoserver=False): self._map_list = [ SLMap(0.001, 0.999, "lin", "chaos", self._chaos), SLMap(0.1, 20.0, "lin", "freq", self._freq), SLMapMul(self._mul), ] PyoObject.ctrl(self, map_list, title, wxnoserver) @property def chaos(self): """float or PyoObject. Randomization factor.""" return self._chaos @chaos.setter def chaos(self, x): self.setChaos(x) @property def freq(self): """float or PyoObject. Polling frequency.""" return self._freq @freq.setter def freq(self, x): self.setFreq(x)

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Python

sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

121

2018-06-18T19:16:42.000Z

2022-03-31T06:06:48.000Z

sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

492

2018-06-22T19:41:03.000Z

2022-03-31T15:33:53.000Z

sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

43

2018-06-19T01:43:13.000Z

2022-03-23T22:43:37.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['ManagedSslCertificateArgs', 'ManagedSslCertificate'] @pulumi.input_type class ManagedSslCertificateArgs: def __init__(__self__, *, certificate_id: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, managed: Optional[pulumi.Input['ManagedSslCertificateManagedArgs']] = None, name: Optional[pulumi.Input[str]] = None, project: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a ManagedSslCertificate resource. :param pulumi.Input[int] certificate_id: The unique identifier for the resource. :param pulumi.Input[str] description: An optional description of this resource. :param pulumi.Input['ManagedSslCertificateManagedArgs'] managed: Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] type: Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ if certificate_id is not None: pulumi.set(__self__, "certificate_id", certificate_id) if description is not None: pulumi.set(__self__, "description", description) if managed is not None: pulumi.set(__self__, "managed", managed) if name is not None: pulumi.set(__self__, "name", name) if project is not None: pulumi.set(__self__, "project", project) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter(name="certificateId") def certificate_id(self) -> Optional[pulumi.Input[int]]: """ The unique identifier for the resource. """ return pulumi.get(self, "certificate_id") @certificate_id.setter def certificate_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "certificate_id", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of this resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def managed(self) -> Optional[pulumi.Input['ManagedSslCertificateManagedArgs']]: """ Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. """ return pulumi.get(self, "managed") @managed.setter def managed(self, value: Optional[pulumi.Input['ManagedSslCertificateManagedArgs']]): pulumi.set(self, "managed", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @pulumi.input_type class _ManagedSslCertificateState: def __init__(__self__, *, certificate_id: Optional[pulumi.Input[int]] = None, creation_timestamp: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, expire_time: Optional[pulumi.Input[str]] = None, managed: Optional[pulumi.Input['ManagedSslCertificateManagedArgs']] = None, name: Optional[pulumi.Input[str]] = None, project: Optional[pulumi.Input[str]] = None, self_link: Optional[pulumi.Input[str]] = None, subject_alternative_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, type: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering ManagedSslCertificate resources. :param pulumi.Input[int] certificate_id: The unique identifier for the resource. :param pulumi.Input[str] creation_timestamp: Creation timestamp in RFC3339 text format. :param pulumi.Input[str] description: An optional description of this resource. :param pulumi.Input[str] expire_time: Expire time of the certificate. :param pulumi.Input['ManagedSslCertificateManagedArgs'] managed: Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] self_link: The URI of the created resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] subject_alternative_names: Domains associated with the certificate via Subject Alternative Name. :param pulumi.Input[str] type: Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ if certificate_id is not None: pulumi.set(__self__, "certificate_id", certificate_id) if creation_timestamp is not None: pulumi.set(__self__, "creation_timestamp", creation_timestamp) if description is not None: pulumi.set(__self__, "description", description) if expire_time is not None: pulumi.set(__self__, "expire_time", expire_time) if managed is not None: pulumi.set(__self__, "managed", managed) if name is not None: pulumi.set(__self__, "name", name) if project is not None: pulumi.set(__self__, "project", project) if self_link is not None: pulumi.set(__self__, "self_link", self_link) if subject_alternative_names is not None: pulumi.set(__self__, "subject_alternative_names", subject_alternative_names) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter(name="certificateId") def certificate_id(self) -> Optional[pulumi.Input[int]]: """ The unique identifier for the resource. """ return pulumi.get(self, "certificate_id") @certificate_id.setter def certificate_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "certificate_id", value) @property @pulumi.getter(name="creationTimestamp") def creation_timestamp(self) -> Optional[pulumi.Input[str]]: """ Creation timestamp in RFC3339 text format. """ return pulumi.get(self, "creation_timestamp") @creation_timestamp.setter def creation_timestamp(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "creation_timestamp", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of this resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="expireTime") def expire_time(self) -> Optional[pulumi.Input[str]]: """ Expire time of the certificate. """ return pulumi.get(self, "expire_time") @expire_time.setter def expire_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "expire_time", value) @property @pulumi.getter def managed(self) -> Optional[pulumi.Input['ManagedSslCertificateManagedArgs']]: """ Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. """ return pulumi.get(self, "managed") @managed.setter def managed(self, value: Optional[pulumi.Input['ManagedSslCertificateManagedArgs']]): pulumi.set(self, "managed", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter(name="selfLink") def self_link(self) -> Optional[pulumi.Input[str]]: """ The URI of the created resource. """ return pulumi.get(self, "self_link") @self_link.setter def self_link(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "self_link", value) @property @pulumi.getter(name="subjectAlternativeNames") def subject_alternative_names(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Domains associated with the certificate via Subject Alternative Name. """ return pulumi.get(self, "subject_alternative_names") @subject_alternative_names.setter def subject_alternative_names(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "subject_alternative_names", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) class ManagedSslCertificate(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, certificate_id: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, managed: Optional[pulumi.Input[pulumi.InputType['ManagedSslCertificateManagedArgs']]] = None, name: Optional[pulumi.Input[str]] = None, project: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, __props__=None): """ An SslCertificate resource, used for HTTPS load balancing. This resource represents a certificate for which the certificate secrets are created and managed by Google. For a resource where you provide the key, see the SSL Certificate resource. To get more information about ManagedSslCertificate, see: * [API documentation](https://cloud.google.com/compute/docs/reference/rest/v1/sslCertificates) * How-to Guides * [Official Documentation](https://cloud.google.com/load-balancing/docs/ssl-certificates) > **Warning:** This resource should be used with extreme caution! Provisioning an SSL certificate is complex. Ensure that you understand the lifecycle of a certificate before attempting complex tasks like cert rotation automatically. This resource will "return" as soon as the certificate object is created, but post-creation the certificate object will go through a "provisioning" process. The provisioning process can complete only when the domain name for which the certificate is created points to a target pool which, itself, points at the certificate. Depending on your DNS provider, this may take some time, and migrating from self-managed certificates to Google-managed certificates may entail some downtime while the certificate provisions. In conclusion: Be extremely cautious. ## Example Usage ### Managed Ssl Certificate Basic ```python import pulumi import pulumi_gcp as gcp default_managed_ssl_certificate = gcp.compute.ManagedSslCertificate("defaultManagedSslCertificate", managed=gcp.compute.ManagedSslCertificateManagedArgs( domains=["sslcert.tf-test.club."], )) default_http_health_check = gcp.compute.HttpHealthCheck("defaultHttpHealthCheck", request_path="/", check_interval_sec=1, timeout_sec=1) default_backend_service = gcp.compute.BackendService("defaultBackendService", port_name="http", protocol="HTTP", timeout_sec=10, health_checks=[default_http_health_check.id]) default_url_map = gcp.compute.URLMap("defaultURLMap", description="a description", default_service=default_backend_service.id, host_rules=[gcp.compute.URLMapHostRuleArgs( hosts=["sslcert.tf-test.club"], path_matcher="allpaths", )], path_matchers=[gcp.compute.URLMapPathMatcherArgs( name="allpaths", default_service=default_backend_service.id, path_rules=[gcp.compute.URLMapPathMatcherPathRuleArgs( paths=["/*"], service=default_backend_service.id, )], )]) default_target_https_proxy = gcp.compute.TargetHttpsProxy("defaultTargetHttpsProxy", url_map=default_url_map.id, ssl_certificates=[default_managed_ssl_certificate.id]) zone = gcp.dns.ManagedZone("zone", dns_name="sslcert.tf-test.club.") default_global_forwarding_rule = gcp.compute.GlobalForwardingRule("defaultGlobalForwardingRule", target=default_target_https_proxy.id, port_range="443") set = gcp.dns.RecordSet("set", name="sslcert.tf-test.club.", type="A", ttl=3600, managed_zone=zone.name, rrdatas=[default_global_forwarding_rule.ip_address]) ``` ## Import ManagedSslCertificate can be imported using any of these accepted formats ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default projects/{{project}}/global/sslCertificates/{{name}} ``` ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default {{project}}/{{name}} ``` ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default {{name}} ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[int] certificate_id: The unique identifier for the resource. :param pulumi.Input[str] description: An optional description of this resource. :param pulumi.Input[pulumi.InputType['ManagedSslCertificateManagedArgs']] managed: Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] type: Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ ... @overload def __init__(__self__, resource_name: str, args: Optional[ManagedSslCertificateArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ An SslCertificate resource, used for HTTPS load balancing. This resource represents a certificate for which the certificate secrets are created and managed by Google. For a resource where you provide the key, see the SSL Certificate resource. To get more information about ManagedSslCertificate, see: * [API documentation](https://cloud.google.com/compute/docs/reference/rest/v1/sslCertificates) * How-to Guides * [Official Documentation](https://cloud.google.com/load-balancing/docs/ssl-certificates) > **Warning:** This resource should be used with extreme caution! Provisioning an SSL certificate is complex. Ensure that you understand the lifecycle of a certificate before attempting complex tasks like cert rotation automatically. This resource will "return" as soon as the certificate object is created, but post-creation the certificate object will go through a "provisioning" process. The provisioning process can complete only when the domain name for which the certificate is created points to a target pool which, itself, points at the certificate. Depending on your DNS provider, this may take some time, and migrating from self-managed certificates to Google-managed certificates may entail some downtime while the certificate provisions. In conclusion: Be extremely cautious. ## Example Usage ### Managed Ssl Certificate Basic ```python import pulumi import pulumi_gcp as gcp default_managed_ssl_certificate = gcp.compute.ManagedSslCertificate("defaultManagedSslCertificate", managed=gcp.compute.ManagedSslCertificateManagedArgs( domains=["sslcert.tf-test.club."], )) default_http_health_check = gcp.compute.HttpHealthCheck("defaultHttpHealthCheck", request_path="/", check_interval_sec=1, timeout_sec=1) default_backend_service = gcp.compute.BackendService("defaultBackendService", port_name="http", protocol="HTTP", timeout_sec=10, health_checks=[default_http_health_check.id]) default_url_map = gcp.compute.URLMap("defaultURLMap", description="a description", default_service=default_backend_service.id, host_rules=[gcp.compute.URLMapHostRuleArgs( hosts=["sslcert.tf-test.club"], path_matcher="allpaths", )], path_matchers=[gcp.compute.URLMapPathMatcherArgs( name="allpaths", default_service=default_backend_service.id, path_rules=[gcp.compute.URLMapPathMatcherPathRuleArgs( paths=["/*"], service=default_backend_service.id, )], )]) default_target_https_proxy = gcp.compute.TargetHttpsProxy("defaultTargetHttpsProxy", url_map=default_url_map.id, ssl_certificates=[default_managed_ssl_certificate.id]) zone = gcp.dns.ManagedZone("zone", dns_name="sslcert.tf-test.club.") default_global_forwarding_rule = gcp.compute.GlobalForwardingRule("defaultGlobalForwardingRule", target=default_target_https_proxy.id, port_range="443") set = gcp.dns.RecordSet("set", name="sslcert.tf-test.club.", type="A", ttl=3600, managed_zone=zone.name, rrdatas=[default_global_forwarding_rule.ip_address]) ``` ## Import ManagedSslCertificate can be imported using any of these accepted formats ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default projects/{{project}}/global/sslCertificates/{{name}} ``` ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default {{project}}/{{name}} ``` ```sh $ pulumi import gcp:compute/managedSslCertificate:ManagedSslCertificate default {{name}} ``` :param str resource_name: The name of the resource. :param ManagedSslCertificateArgs 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(ManagedSslCertificateArgs, 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, certificate_id: Optional[pulumi.Input[int]] = None, description: Optional[pulumi.Input[str]] = None, managed: Optional[pulumi.Input[pulumi.InputType['ManagedSslCertificateManagedArgs']]] = None, name: Optional[pulumi.Input[str]] = None, project: Optional[pulumi.Input[str]] = 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__ = ManagedSslCertificateArgs.__new__(ManagedSslCertificateArgs) __props__.__dict__["certificate_id"] = certificate_id __props__.__dict__["description"] = description __props__.__dict__["managed"] = managed __props__.__dict__["name"] = name __props__.__dict__["project"] = project __props__.__dict__["type"] = type __props__.__dict__["creation_timestamp"] = None __props__.__dict__["expire_time"] = None __props__.__dict__["self_link"] = None __props__.__dict__["subject_alternative_names"] = None alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="gcp:compute/mangedSslCertificate:MangedSslCertificate")]) opts = pulumi.ResourceOptions.merge(opts, alias_opts) super(ManagedSslCertificate, __self__).__init__( 'gcp:compute/managedSslCertificate:ManagedSslCertificate', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, certificate_id: Optional[pulumi.Input[int]] = None, creation_timestamp: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, expire_time: Optional[pulumi.Input[str]] = None, managed: Optional[pulumi.Input[pulumi.InputType['ManagedSslCertificateManagedArgs']]] = None, name: Optional[pulumi.Input[str]] = None, project: Optional[pulumi.Input[str]] = None, self_link: Optional[pulumi.Input[str]] = None, subject_alternative_names: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, type: Optional[pulumi.Input[str]] = None) -> 'ManagedSslCertificate': """ Get an existing ManagedSslCertificate 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[int] certificate_id: The unique identifier for the resource. :param pulumi.Input[str] creation_timestamp: Creation timestamp in RFC3339 text format. :param pulumi.Input[str] description: An optional description of this resource. :param pulumi.Input[str] expire_time: Expire time of the certificate. :param pulumi.Input[pulumi.InputType['ManagedSslCertificateManagedArgs']] managed: Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] self_link: The URI of the created resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] subject_alternative_names: Domains associated with the certificate via Subject Alternative Name. :param pulumi.Input[str] type: Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ManagedSslCertificateState.__new__(_ManagedSslCertificateState) __props__.__dict__["certificate_id"] = certificate_id __props__.__dict__["creation_timestamp"] = creation_timestamp __props__.__dict__["description"] = description __props__.__dict__["expire_time"] = expire_time __props__.__dict__["managed"] = managed __props__.__dict__["name"] = name __props__.__dict__["project"] = project __props__.__dict__["self_link"] = self_link __props__.__dict__["subject_alternative_names"] = subject_alternative_names __props__.__dict__["type"] = type return ManagedSslCertificate(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="certificateId") def certificate_id(self) -> pulumi.Output[int]: """ The unique identifier for the resource. """ return pulumi.get(self, "certificate_id") @property @pulumi.getter(name="creationTimestamp") def creation_timestamp(self) -> pulumi.Output[str]: """ Creation timestamp in RFC3339 text format. """ return pulumi.get(self, "creation_timestamp") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ An optional description of this resource. """ return pulumi.get(self, "description") @property @pulumi.getter(name="expireTime") def expire_time(self) -> pulumi.Output[str]: """ Expire time of the certificate. """ return pulumi.get(self, "expire_time") @property @pulumi.getter def managed(self) -> pulumi.Output[Optional['outputs.ManagedSslCertificateManaged']]: """ Properties relevant to a managed certificate. These will be used if the certificate is managed (as indicated by a value of `MANAGED` in `type`). Structure is documented below. """ return pulumi.get(self, "managed") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @property @pulumi.getter def project(self) -> pulumi.Output[str]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @property @pulumi.getter(name="selfLink") def self_link(self) -> pulumi.Output[str]: """ The URI of the created resource. """ return pulumi.get(self, "self_link") @property @pulumi.getter(name="subjectAlternativeNames") def subject_alternative_names(self) -> pulumi.Output[Sequence[str]]: """ Domains associated with the certificate via Subject Alternative Name. """ return pulumi.get(self, "subject_alternative_names") @property @pulumi.getter def type(self) -> pulumi.Output[Optional[str]]: """ Enum field whose value is always `MANAGED` - used to signal to the API which type this is. Default value is `MANAGED`. Possible values are `MANAGED`. """ return pulumi.get(self, "type")

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Python

bayesian_quadrature/tests/test_gauss_c.py

jhamrick/bayesian-quadrature

b7245cb6ccb96606da7caf1c516631c410f5dc1b

[ "MIT" ]

13

2015-02-04T15:21:32.000Z

2020-11-20T23:12:12.000Z

bayesian_quadrature/tests/test_gauss_c.py

jhamrick/bayesian-quadrature

b7245cb6ccb96606da7caf1c516631c410f5dc1b

[ "MIT" ]

1

2018-07-20T20:02:55.000Z

bayesian_quadrature/tests/test_gauss_c.py

jhamrick/bayesian-quadrature

b7245cb6ccb96606da7caf1c516631c410f5dc1b

[ "MIT" ]

3

2017-04-24T06:48:36.000Z

2021-12-12T19:05:10.000Z

import numpy as np import scipy.stats import pytest from .. import gauss_c from .. import linalg_c as la from . import util import logging logger = logging.getLogger("bayesian_quadrature") logger.setLevel("DEBUG") DTYPE = util.DTYPE options = util.options def test_mvn_logpdf(): util.npseed() x_mean = options['x_mean'] x_var = options['x_var'] mu = np.array([x_mean], order='F') cov = np.array([[x_var]], order='F') la.cho_factor(cov, cov) logdet = la.logdet(cov) n = 20 x = np.array(np.random.uniform(-10, 10, n)[None], order='F') y = np.log(np.array( scipy.stats.norm.pdf(x, x_mean, np.sqrt(x_var)), order='F')) pdf = np.empty(n, order='F') for i in xrange(n): pdf[i] = gauss_c.mvn_logpdf(x[:, i], mu, cov, logdet) assert np.allclose(y, pdf) def test_mvn_logpdf_same(): util.npseed() mu = np.array([options['x_mean']], order='F') cov = np.array([[options['x_var']]], order='F') la.cho_factor(cov, cov) logdet = la.logdet(cov) n = 20 m = 20 x = np.array(np.random.uniform(-10, 10, n)[None], order='F') pdf = np.empty((m, n), order='F') for i in xrange(m): for j in xrange(n): pdf[i, j] = gauss_c.mvn_logpdf(x[:, j], mu, cov, logdet) assert (pdf[0] == pdf).all() def test_int_exp_norm(): def approx_int_exp_norm(xo, c, m, S): e = np.exp(xo * c) p = scipy.stats.norm.pdf(xo, m, np.sqrt(S)) return np.trapz(e * p, xo) xo = np.linspace(-20, 20, 1000) approx = approx_int_exp_norm(xo, 2, 0, 1) calc = gauss_c.int_exp_norm(2, 0, 1) assert np.allclose(approx, calc) approx = approx_int_exp_norm(xo, 1, 0, 1) calc = gauss_c.int_exp_norm(1, 0, 1) assert np.allclose(approx, calc) approx = approx_int_exp_norm(xo, 2, 1, 1) calc = gauss_c.int_exp_norm(2, 1, 1) assert np.allclose(approx, calc) approx = approx_int_exp_norm(xo, 2, 1, 2) calc = gauss_c.int_exp_norm(2, 1, 2) assert np.allclose(approx, calc) def test_int_K(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] Kxxo = np.array(bq.gp_l.Kxxo(xo), order='F') approx_int = np.empty(bq.gp_l.x.shape[0], order='F') gauss_c.approx_int_K( approx_int, np.array(xo[None], order='F'), Kxxo, x_mean, x_cov) calc_int = np.empty(bq.gp_l.x.shape[0], order='F') gauss_c.int_K( calc_int, np.array(bq.gp_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), x_mean, x_cov) assert np.allclose(calc_int, approx_int, atol=1e-5) def test_int_K_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] vals = np.empty((bq.gp_l.x.shape[0], 20), order='F') for i in xrange(20): gauss_c.int_K( vals[:, i], np.array(bq.gp_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), x_mean, x_cov) assert (vals[:, [0]] == vals).all() def test_approx_int_K_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] Kxxo = np.array(bq.gp_l.Kxxo(xo), order='F') vals = np.empty((bq.gp_l.x.shape[0], 20), order='F') xo = np.array(xo[None], order='F') for i in xrange(20): gauss_c.approx_int_K( vals[:, i], xo, np.array(Kxxo, order='F'), x_mean, x_cov) assert (vals[:, [0]] == vals).all() def test_int_K1_K2(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xxo = np.array(bq.gp_l.Kxxo(xo), order='F') K2xxo = np.array(bq.gp_log_l.Kxxo(xo), order='F') approx_int = np.empty((bq.gp_l.x.shape[0], bq.gp_log_l.x.shape[0]), order='F') gauss_c.approx_int_K1_K2( approx_int, np.array(xo[None], order='F'), K1xxo, K2xxo, x_mean, x_cov) calc_int = np.empty((bq.gp_l.x.shape[0], bq.gp_log_l.x.shape[0]), order='F') gauss_c.int_K1_K2( calc_int, np.array(bq.gp_l.x[None], order='F'), np.array(bq.gp_log_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w], order='F'), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w], order='F'), x_mean, x_cov) assert np.allclose(calc_int, approx_int, atol=1e-3) def test_int_K1_K2_same(): util.npseed() bq = util.make_bq() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] vals = np.empty((bq.gp_l.x.shape[0], bq.gp_log_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.int_K1_K2( vals[:, :, i], np.array(bq.gp_l.x[None], order='F'), np.array(bq.gp_log_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w], order='F'), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w], order='F'), x_mean, x_cov) assert (vals[:, :, [0]] == vals).all() def test_approx_int_K1_K2_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xxo = np.array(bq.gp_l.Kxxo(xo), order='F') K2xxo = np.array(bq.gp_log_l.Kxxo(xo), order='F') vals = np.empty((bq.gp_l.x.shape[0], bq.gp_log_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.approx_int_K1_K2( vals[:, :, i], np.array(xo[None], order='F'), K1xxo, K2xxo, x_mean, x_cov) assert (vals[:, :, [0]] == vals).all() def test_int_int_K1_K2_K1(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xxo = np.array(bq.gp_l.Kxxo(xo), order='F') K2xoxo = np.array(bq.gp_log_l.Kxoxo(xo), order='F') approx_int = np.empty((bq.gp_l.x.shape[0], bq.gp_l.x.shape[0]), order='F') gauss_c.approx_int_int_K1_K2_K1( approx_int, np.array(xo[None], order='F'), K1xxo, K2xoxo, x_mean, x_cov) calc_int = np.empty((bq.gp_l.x.shape[0], bq.gp_l.x.shape[0]), order='F') gauss_c.int_int_K1_K2_K1( calc_int, np.array(bq.gp_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w]), x_mean, x_cov) assert np.allclose(calc_int, approx_int, atol=1e-5) def test_int_int_K1_K2_K1_same(): util.npseed() bq = util.make_bq() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] vals = np.empty((bq.gp_l.x.shape[0], bq.gp_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.int_int_K1_K2_K1( vals[:, :, i], np.array(bq.gp_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w]), x_mean, x_cov) assert (vals[:, :, [0]] == vals).all() def test_approx_int_int_K1_K2_K1_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xxo = np.array(bq.gp_l.Kxxo(xo), order='F') K2xoxo = np.array(bq.gp_log_l.Kxoxo(xo), order='F') vals = np.empty((bq.gp_l.x.shape[0], bq.gp_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.approx_int_int_K1_K2_K1( vals[:, :, i], np.array(xo[None], order='F'), K1xxo, K2xoxo, x_mean, x_cov) assert (vals[:, :, [0]] == vals).all() def test_int_int_K1_K2(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xoxo = np.array(bq.gp_l.Kxoxo(xo), order='F') K2xxo = np.array(bq.gp_log_l.Kxxo(xo), order='F') approx_int = np.empty(bq.gp_log_l.x.shape[0], order='F') gauss_c.approx_int_int_K1_K2( approx_int, np.array(xo[None], order='F'), K1xoxo, K2xxo, x_mean, x_cov) calc_int = np.empty(bq.gp_log_l.x.shape[0], order='F') gauss_c.int_int_K1_K2( calc_int, np.array(bq.gp_log_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w]), x_mean, x_cov) assert np.allclose(calc_int, approx_int, atol=1e-5) def test_int_int_K1_K2_same(): util.npseed() bq = util.make_bq() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] vals = np.empty((bq.gp_log_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.int_int_K1_K2( vals[:, i], np.array(bq.gp_log_l.x[None], order='F'), bq.gp_l.K.h, np.array([bq.gp_l.K.w]), bq.gp_log_l.K.h, np.array([bq.gp_log_l.K.w]), x_mean, x_cov) assert (vals[:, [0]] == vals).all() def test_approx_int_int_K1_K2_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] K1xoxo = np.array(bq.gp_l.Kxoxo(xo), order='F') K2xxo = np.array(bq.gp_log_l.Kxxo(xo), order='F') vals = np.empty((bq.gp_log_l.x.shape[0], 20), order='F') for i in xrange(vals.shape[-1]): gauss_c.approx_int_int_K1_K2( vals[:, i], np.array(xo[None], order='F'), K1xoxo, K2xxo, x_mean, x_cov) assert (vals[:, [0]] == vals).all() def test_int_int_K(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] Kxoxo = np.array(bq.gp_l.Kxoxo(xo), order='F') approx_int = gauss_c.approx_int_int_K( np.array(xo[None], order='F'), Kxoxo, x_mean, x_cov) calc_int = gauss_c.int_int_K( 1, bq.gp_l.K.h, np.array([bq.gp_l.K.w]), x_mean, x_cov) assert np.allclose(calc_int, approx_int, atol=1e-6) def test_int_int_K_same(): util.npseed() bq = util.make_bq() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] vals = np.empty(20) for i in xrange(vals.shape[-1]): vals[i] = gauss_c.int_int_K( 1, bq.gp_l.K.h, np.array([bq.gp_l.K.w]), x_mean, x_cov) assert (vals[0] == vals).all() def test_approx_int_int_K_same(): util.npseed() bq = util.make_bq() xo = util.make_xo() x_mean = bq.options['x_mean'] x_cov = bq.options['x_cov'] Kxoxo = np.array(bq.gp_l.Kxoxo(xo), order='F') vals = np.empty(20) for i in xrange(vals.shape[-1]): vals[i] = gauss_c.approx_int_int_K( np.array(xo[None], order='F'), Kxoxo, x_mean, x_cov) assert (vals[0] == vals).all()

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0f2d17d68964a29ad200326d5b751864001a4e22

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py

Python

test/test_attestation.py

verifiably/checker

7fafed98b61c99196a21924082c6f47f530186db

[ "Apache-2.0" ]

null

test/test_attestation.py

verifiably/checker

7fafed98b61c99196a21924082c6f47f530186db

[ "Apache-2.0" ]

null

test/test_attestation.py

verifiably/checker

7fafed98b61c99196a21924082c6f47f530186db

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import sys import os import base64 import cbor2 import json from OpenSSL import crypto import pytest from verifiably_checker import attestation EXAMPLE_ATT_DOC = "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def test_check_correct_pcr(): doc_obj = {'pcrs':{ 0: bytes.fromhex('a123'), 1: bytes.fromhex('b456') } } expected_pcrs = {'0':'a123', '1':'b456'} assert attestation.verify_pcrs(doc_obj, expected_pcrs) == True def test_check_wrong_pcr(): doc_obj = {'pcrs':{ 0: bytes.fromhex('a123'), 1: bytes.fromhex('b456') } } expected_pcrs = {'0':'a12', '1':'b456'} assert attestation.verify_pcrs(doc_obj, expected_pcrs) == False def test_validate_signature(): attestation_doc = base64.b64decode(EXAMPLE_ATT_DOC) data = cbor2.loads(attestation_doc) doc = data[2] doc_obj = cbor2.loads(doc) assert attestation.validate_signature(data, doc, doc_obj) == True def test_validate_signature_modify_user_data(): attestation_doc = base64.b64decode(EXAMPLE_ATT_DOC) data = cbor2.loads(attestation_doc) doc = data[2] doc_obj = cbor2.loads(doc) # Modify user data user_data = json.loads(doc_obj['user_data']) user_data['result'] = True doc_obj['user_data'] = json.dumps(user_data) doc = cbor2.dumps(doc_obj) assert attestation.validate_signature(data, doc, doc_obj) == False def test_validate_signature_modify_signature(): attestation_doc = base64.b64decode(EXAMPLE_ATT_DOC) data = cbor2.loads(attestation_doc) doc = data[2] doc_obj = cbor2.loads(doc) # Modify signature signature_value = data[3].hex() signature_value = '0' + signature_value[1:] data[3] = bytes.fromhex(signature_value) assert attestation.validate_signature(data, doc, doc_obj) == False def test_validate_certificate(): certificate = '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' attestation_doc = base64.b64decode(EXAMPLE_ATT_DOC) data = cbor2.loads(attestation_doc) doc = data[2] doc_obj = cbor2.loads(doc) doc_obj['certificate'] = bytes.fromhex(certificate) assert attestation.validate_pki(doc_obj) == True def test_validate_wrong_certificate(): certificate = '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' attestation_doc = base64.b64decode(EXAMPLE_ATT_DOC) data = cbor2.loads(attestation_doc) doc = data[2] doc_obj = cbor2.loads(doc) doc_obj['certificate'] = bytes.fromhex(certificate) with pytest.raises(crypto.Error): attestation.validate_pki(doc_obj)

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py

Python

CA117/Lab_8/swapletters_51.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

6

2016-02-04T00:15:20.000Z

2019-10-13T13:53:16.000Z

CA117/Lab_8/swapletters_51.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

2

2016-03-14T04:01:36.000Z

2019-10-16T12:45:34.000Z

CA117/Lab_8/swapletters_51.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

10

2016-02-09T14:38:32.000Z

2021-05-25T08:16:26.000Z

(lambda l:print(''.join([l[i+1]+l[i]for i in range(0,len(l)-1,2)])+(l[-1]if len(l)%2else'')))(list(__import__("sys").argv[1]))

63.5

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7e859b407f053ddd022ae4460df909ffd88041ed

59,341

py

Python

luma/oled/const.py

morpheus200/luma.oled

74492ef4ea3374c02d139731855fff7a43c79f7a

[ "MIT" ]

582

2017-01-17T00:01:33.000Z

2022-03-30T17:46:42.000Z

luma/oled/const.py

morpheus200/luma.oled

74492ef4ea3374c02d139731855fff7a43c79f7a

[ "MIT" ]

182

2017-01-12T15:01:19.000Z

2022-03-24T21:06:10.000Z

luma/oled/const.py

morpheus200/luma.oled

74492ef4ea3374c02d139731855fff7a43c79f7a

[ "MIT" ]

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2017-01-15T02:29:26.000Z

2022-03-30T17:36:56.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2014-18 Richard Hull and contributors # See LICENSE.rst for details. from luma.core.const import common class ssd1306(common): CHARGEPUMP = 0x8D COLUMNADDR = 0x21 COMSCANDEC = 0xC8 COMSCANINC = 0xC0 EXTERNALVCC = 0x1 MEMORYMODE = 0x20 PAGEADDR = 0x22 SETCOMPINS = 0xDA SETDISPLAYCLOCKDIV = 0xD5 SETDISPLAYOFFSET = 0xD3 SETHIGHCOLUMN = 0x10 SETLOWCOLUMN = 0x00 SETPRECHARGE = 0xD9 SETSEGMENTREMAP = 0xA1 SETSTARTLINE = 0x40 SETVCOMDETECT = 0xDB SWITCHCAPVCC = 0x2 sh1106 = ssd1306 class ssd1322(common): DISPLAYON = 0xAF DISPLAYOFF = 0xAE SETCONTRAST = 0xC1 class ssd1362(common): DISPLAYON = 0xAF DISPLAYOFF = 0xAE SETCONTRAST = 0x81 class ws0010(object): """ Values to be used by the ws0010 class during initialization of the display. Contains FONTDATA to enable the ws0010 class to embed the same fonts that are contained within any display that uses the ws0010 controller .. versionadded:: 3.6.0 """ CLEAR = 0x01 HOME = 0x02 ENTRY = 0x06 DISPLAYOFF = 0x08 DISPLAYON = 0x0C POWEROFF = 0x13 POWERON = 0x17 GRAPHIC = 0x08 CHAR = 0x00 FUNCTIONSET = 0x29 DL8 = 0x10 DL4 = 0x00 DDRAMADDR = 0x80 CGRAMADDR = 0x40 FONTDATA = { 'metrics': [ # FT00 ENGLISH_JAPANESE 5x8 METRICS { 'name': 'FT00', 'index': range(16, 256), 'xwidth': 6, 'cell_size': (5, 10), 'glyph_size': (5, 8), 'table_size': (800, 20) }, # FT01 WESTERN EUROPEAN 5x8 METRICS { 'name': 'FT01', 'index': range(16, 256), 'xwidth': 6, 'cell_size': (5, 10), 'glyph_size': (5, 8), 'table_size': (800, 20) }, # FT10 ENGLISH_RUSSIAN 5x8 METRICS { 'name': 'FT10', 'index': range(16, 256), 'xwidth': 6, 'cell_size': (5, 10), 'glyph_size': (5, 8), 'table_size': (800, 20) }, # FT11 WESTERN_EUROPEAN_II 5x8 METRICS { 'name': 'FT11', 'index': range(16, 256), 'xwidth': 6, 'cell_size': (5, 10), 'glyph_size': (5, 8), 'table_size': (800, 20) }, ], # TODO: Complete (and verify) FONT Mappings (Issue #296) 'mappings': [ { # FT00 ENGLISH_JAPANESE CHARACTER FONT # Missing maps for # 10-1F, 80-9f, a0, a1, e7, e9, ea, f8, f9, fa, fc, fe 0x0410: 0x41, # А CYRILLIC CAPITAL LETTER A 0x0412: 0x42, # В CYRILLIC CAPITAL LETTER VE 0x0421: 0x43, # С CYRILLIC CAPITAL LETTER ES 0x0415: 0x45, # Е CYRILLIC CAPITAL LETTER IE 0x041d: 0x48, # Н CYRILLIC CAPITAL LETTER EN 0x041a: 0x4b, # К CYRILLIC CAPITAL LETTER KA 0x041c: 0x4d, # М CYRILLIC CAPITAL LETTER EM 0x041e: 0x4f, # О CYRILLIC CAPITAL LETTER O 0x0420: 0x50, # Р CYRILLIC CAPITAL LETTER ER 0x0422: 0x54, # Т CYRILLIC CAPITAL LETTER TE 0x0425: 0x58, # Х CYRILLIC CAPITAL LETTER HA 0x042c: 0x62, # Ь CYRILLIC CAPITAL LETTER SOFT SIGN 0x00a5: 0x5c, # ¥ YEN SIGN 0x2192: 0x7e, # → RIGHTWARDS ARROW 0x2190: 0x7f, # ← LEFTWARDS ARROW 0x300c: 0xa2, # 「 LEFT CORNER BRACKET 0x300d: 0xa3, # 」 RIGHT CORNER BRACKET 0x30fd: 0xa4, # ヽ KATAKANA ITERATION MARK 0x30f8: 0xa5, # ヸ KATAKANA LETTER VI 0x30f2: 0xa6, # ヲ KATAKANA LETTER WO 0x30a1: 0xa7, # ァ KATAKANA LETTER SMALL A 0x30a3: 0xa8, # ィ KATAKANA LETTER SMALL I 0x30a5: 0xa9, # ゥ KATAKANA LETTER SMALL U 0x30a7: 0xaa, # ェ KATAKANA LETTER SMALL E 0x30a9: 0xab, # ォ KATAKANA LETTER SMALL O 0x30e3: 0xac, # ャ KATAKANA LETTER SMALL YA 0x30e5: 0xad, # ュ KATAKANA LETTER SMALL YU 0x30e7: 0xae, # ョ KATAKANA LETTER SMALL YO 0x30c3: 0xaf, # ッ KATAKANA LETTER SMALL TU 0x30fc: 0xb0, # ー KATAKANA-HIRAGANA PROLONGED SOUND MARK 0x30a2: 0xb1, # ア KATAKANA LETTER A 0x30a4: 0xb2, # イ KATAKANA LETTER I 0x30a6: 0xb3, # ウ KATAKANA LETTER U 0x30a8: 0xb4, # エ KATAKANA LETTER E 0x30aa: 0xb5, # オ KATAKANA LETTER O 0x30ab: 0xb6, # カ KATAKANA LETTER KA 0x30ad: 0xb7, # キ KATAKANA LETTER KI 0x30af: 0xb8, # ク KATAKANA LETTER KU 0x30b1: 0xb9, # ケ KATAKANA LETTER KE 0x30b3: 0xba, # コ KATAKANA LETTER KO 0x30b5: 0xbb, # サ KATAKANA LETTER SA 0x30b7: 0xbc, # シ KATAKANA LETTER SI 0x30b9: 0xbd, # ス KATAKANA LETTER SU 0x30bb: 0xbe, # セ KATAKANA LETTER SE 0x30bd: 0xbf, # ソ KATAKANA LETTER SO 0x30bf: 0xc0, # タ KATAKANA LETTER TA 0x30c1: 0xc1, # チ KATAKANA LETTER TI 0x30c4: 0xc2, # ツ KATAKANA LETTER TU 0x30c6: 0xc3, # テ KATAKANA LETTER TE 0x30c8: 0xc4, # ト KATAKANA LETTER TO 0x30ca: 0xc5, # ナ KATAKANA LETTER NA 0x30cb: 0xc6, # ニ KATAKANA LETTER NI 0x30cc: 0xc7, # ヌ KATAKANA LETTER NU 0x30cd: 0xc8, # ネ KATAKANA LETTER NE 0x30ce: 0xc9, # ノ KATAKANA LETTER NO 0x30cf: 0xca, # ハ KATAKANA LETTER HA 0x30d2: 0xcb, # ヒ KATAKANA LETTER HI 0x30d5: 0xcc, # フ KATAKANA LETTER HU 0x30d8: 0xcd, # ヘ KATAKANA LETTER HE 0x30db: 0xce, # ホ KATAKANA LETTER HO 0x30de: 0xcf, # マ KATAKANA LETTER MA 0x30df: 0xd0, # ミ KATAKANA LETTER MI 0x30e0: 0xd1, # ム KATAKANA LETTER MU 0x30e1: 0xd2, # メ KATAKANA LETTER ME 0x30e2: 0xd3, # モ KATAKANA LETTER MO 0x30e4: 0xd4, # ヤ KATAKANA LETTER YA 0x30e6: 0xd5, # ユ KATAKANA LETTER YU 0x30e8: 0xd6, # ヨ KATAKANA LETTER YO 0x30e9: 0xd7, # ラ KATAKANA LETTER RA 0x30ea: 0xd8, # リ KATAKANA LETTER RI 0x30eb: 0xd9, # ル KATAKANA LETTER RU 0x30ec: 0xda, # レ KATAKANA LETTER RE 0x30ed: 0xdb, # ロ KATAKANA LETTER RO 0x30ef: 0xdc, # ワ KATAKANA LETTER WA 0x30f3: 0xdd, # ン KATAKANA LETTER N 0x309b: 0xde, # ゛ KATAKANA-HIRAGANA VOICED SOUND MARK 0x309c: 0xdf, # ゜ KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK 0x03b1: 0xe0, # α GREEK SMALL LETTER ALPHA 0x00e4: 0xe1, # ä LATIN SMALL LETTER A WITH DIAERESIS 0x03b2: 0xe2, # β GREEK SMALL LETTER BETA (5x10) 0x0385: 0xe3, # ΅ GREEK DIALYTIKA TONOS 0x00b5: 0xe4, # µ MICRO SIGN (5x10) 0x03bc: 0xe4, # μ GREEK SMALL LETTER MU (5x10) 0x03c3: 0xe5, # σ GREEK SMALL LETTER SIGMA 0x03c1: 0xe6, # ρ GREEK SMALL LETTER RHO (5x10) 0x221a: 0xe8, # √ SQUARE ROOT 0x02e3: 0xeb, # ˣ MODIFIER LETTER SMALL X 0x00a2: 0xec, # ¢ CENT SIGN 0x2c60: 0xed, # Ⱡ LATIN CAPITAL LETTER L WITH DOUBLE BAR 0x00f1: 0xee, # ñ LATIN SMALL LETTER N WITH TILDE 0x00f6: 0xef, # ö LATIN SMALL LETTER O WITH DIAERESIS 0x0398: 0xf2, # Θ GREEK CAPITAL LETTER THETA 0x03f4: 0xf2, # ϴ GREEK CAPITAL THETA SYMBOL 0x221e: 0xf3, # ∞ INFINITY 0x03a9: 0xf4, # Ω GREEK CAPITAL LETTER OMEGA 0x00fc: 0xf5, # ü LATIN SMALL LETTER U WITH DIAERESIS 0x03a3: 0xf6, # Σ GREEK CAPITAL LETTER SIGMA 0x03c0: 0xf7, # π GREEK SMALL LETTER PI 0xa68b: 0xfb, # ꚋ CYRILLIC SMALL LETTER TE WITH MIDDLE HOOK 0x00f7: 0xfd, # ÷ DIVISION SIGN 0x25ae: 0xff, # ▮ BLACK VERTICAL RECTANGLE }, { # FT01 WESTERN EUROPEAN CHARACTER FONT # Missing mappings 9f, a0, aa, ab, ac, ad, ae, c5, c8 # Dropping e1, e2, e3 conflict with 5x8 versions at be, bd, bf 0x0410: 0x41, # А CYRILLIC CAPITAL LETTER A 0x0412: 0x42, # В CYRILLIC CAPITAL LETTER VE 0x0421: 0x43, # С CYRILLIC CAPITAL LETTER ES 0x0415: 0x45, # Е CYRILLIC CAPITAL LETTER IE 0x041d: 0x48, # Н CYRILLIC CAPITAL LETTER EN 0x041a: 0x4b, # К CYRILLIC CAPITAL LETTER KA 0x041c: 0x4d, # М CYRILLIC CAPITAL LETTER EM 0x041e: 0x4f, # О CYRILLIC CAPITAL LETTER O 0x0420: 0x50, # Р CYRILLIC CAPITAL LETTER ER 0x0422: 0x54, # Т CYRILLIC CAPITAL LETTER TE 0x0425: 0x58, # Х CYRILLIC CAPITAL LETTER HA 0x00a5: 0x5c, # ¥ YEN SIGN 0x042c: 0x62, # Ь CYRILLIC CAPITAL LETTER SOFT SIGN 0x2192: 0x7e, # → RIGHTWARDS ARROW 0x2190: 0x7f, # ← LEFTWARDS ARROW 0x00db: 0x80, # Û LATIN CAPITAL LETTER U WITH CIRCUMFLEX 0x00d9: 0x81, # Ù LATIN CAPITAL LETTER U WITH GRAVE 0x00da: 0x82, # Ú LATIN CAPITAL LETTER U WITH ACUTE 0x00dc: 0x83, # Ü LATIN CAPITAL LETTER U WITH DIAERESIS 0x00fb: 0x84, # û LATIN SMALL LETTER U WITH CIRCUMFLEX 0x00f9: 0x85, # ù LATIN SMALL LETTER U WITH GRAVE 0x00fa: 0x86, # ú LATIN SMALL LETTER U WITH ACUTE 0x00d4: 0x87, # Ô LATIN CAPITAL LETTER O WITH CIRCUMFLEX 0x00d2: 0x88, # Ò LATIN CAPITAL LETTER O WITH GRAVE 0x00d3: 0x89, # Ó LATIN CAPITAL LETTER O WITH ACUTE 0x00f4: 0x8b, # ô LATIN SMALL LETTER O WITH CIRCUMFLEX 0x00f2: 0x8c, # ò LATIN SMALL LETTER O WITH GRAVE 0x00f3: 0x8d, # ó LATIN SMALL LETTER O WITH ACUTE 0x00f6: 0x8e, # ö LATIN SMALL LETTER O WITH DIAERESIS 0x00bf: 0x8f, # ¿ INVERTED QUESTION MARK 0x00ca: 0x90, # Ê LATIN CAPITAL LETTER E WITH CIRCUMFLEX 0x00c8: 0x91, # È LATIN CAPITAL LETTER E WITH GRAVE 0x00c9: 0x92, # É LATIN CAPITAL LETTER E WITH ACUTE 0x00cb: 0x93, # Ë LATIN CAPITAL LETTER E WITH DIAERESIS 0x00ea: 0x94, # ê LATIN SMALL LETTER E WITH CIRCUMFLEX 0x00e8: 0x95, # è LATIN SMALL LETTER E WITH GRAVE 0x00e9: 0x96, # é LATIN SMALL LETTER E WITH ACUTE 0x00eb: 0x97, # ë LATIN SMALL LETTER E WITH DIAERESIS 0x00c1: 0x98, # Á LATIN CAPITAL LETTER A WITH ACUTE 0x00c4: 0x99, # Ä LATIN CAPITAL LETTER A WITH DIAERESIS 0x0227: 0x9a, # ȧ LATIN SMALL LETTER A WITH DOT ABOVE 0x00e2: 0x9b, # â LATIN SMALL LETTER A WITH CIRCUMFLEX 0x00e0: 0x9c, # à LATIN SMALL LETTER A WITH GRAVE 0x00e1: 0x9d, # á LATIN SMALL LETTER A WITH ACUTE 0x00e4: 0x9e, # ä LATIN SMALL LETTER A WITH DIAERESIS 0x00ee: 0xa1, # î LATIN SMALL LETTER I WITH CIRCUMFLEX 0x00ec: 0xa2, # ì LATIN SMALL LETTER I WITH GRAVE 0x00ed: 0xa3, # í LATIN SMALL LETTER I WITH ACUTE 0x00ef: 0xa4, # ï LATIN SMALL LETTER I WITH DIAERESIS 0x00a1: 0xa5, # ¡ INVERTED EXCLAMATION MARK 0x00d1: 0xa6, # Ñ LATIN CAPITAL LETTER N WITH TILDE 0x00f1: 0xa7, # ñ LATIN SMALL LETTER N WITH TILDE 0x00c6: 0xaf, # Æ LATIN CAPITAL LETTER AE 0x00a7: 0xb0, # § SECTION SIGN 0x00b1: 0xb1, # ± PLUS-MINUS SIGN 0x0133: 0xb2, # ĳ LATIN SMALL LIGATURE IJ 0x2191: 0xb3, # ↑ UPWARDS ARROW 0x2193: 0xb4, # ↓ DOWNWARDS ARROW 0x21b2: 0xb5, # ↲ DOWNWARDS ARROW WITH TIP LEFTWARDS 0x2a0d: 0xb6, # ⨍ FINITE PART INTEGRAL 0x00a3: 0xb7, # £ POUND SIGN 0x21e5: 0xb8, # ⇥ RIGHTWARDS ARROW TO BAR 0x2908: 0xb9, # ⤈ DOWNWARDS ARROW WITH HORIZONTAL STROKE 0x2909: 0xba, # ⤉ UPWARDS ARROW WITH HORIZONTAL STROKE 0x2913: 0xbb, # ⤓ DOWNWARDS ARROW TO BAR 0x00b6: 0xbc, # ¶ PILCROW SIGN 0x00bd: 0xbd, # ½ VULGAR FRACTION ONE HALF 0x2153: 0xbe, # ⅓ VULGAR FRACTION ONE THIRD 0x00bc: 0xbf, # ¼ VULGAR FRACTION ONE QUARTER 0x00f8: 0xc0, # ø LATIN SMALL LETTER O WITH STROKE 0x013f: 0xc1, # Ŀ LATIN CAPITAL LETTER L WITH MIDDLE DOT 0x00d0: 0xc2, # Ð LATIN CAPITAL LETTER ETH 0x00df: 0xc3, # ß LATIN SMALL LETTER SHARP S 0x00e7: 0xc4, # ç LATIN SMALL LETTER C WITH CEDILLA 0x00a4: 0xc6, # ¤ CURRENCY SIGN 0x26f6: 0xc7, # ⛶ SQUARE FOUR CORNERS 0x00d8: 0xc9, # Ø LATIN CAPITAL LETTER O WITH STROKE 0x00ff: 0xca, # ÿ LATIN SMALL LETTER Y WITH DIAERESIS 0x00c3: 0xcb, # Ã LATIN CAPITAL LETTER A WITH TILDE 0x00a2: 0xcc, # ¢ CENT SIGN 0x00e3: 0xcd, # ã LATIN SMALL LETTER A WITH TILDE 0x00d5: 0xce, # Õ LATIN CAPITAL LETTER O WITH TILDE 0x00f5: 0xcf, # õ LATIN SMALL LETTER O WITH TILDE 0x0307: 0xd0, # ̇ COMBINING DOT ABOVE 0x0308: 0xd1, # ̈ COMBINING DIAERESIS 0x030a: 0xd2, # ̊ COMBINING RING ABOVE 0x0300: 0xd3, # ̀ COMBINING GRAVE ACCENT 0x0301: 0xd4, # ́ COMBINING ACUTE ACCENT 0x0303: 0xd5, # ̃ COMBINING TILDE 0x00f7: 0xd6, # ÷ DIVISION SIGN 0x2aa1: 0xd7, # ⪡ DOUBLE NESTED LESS-THAN 0x2aa2: 0xd8, # ⪢ DOUBLE NESTED GREATER-THAN 0x0140: 0xd9, # ŀ LATIN SMALL LETTER L WITH MIDDLE DOT 0x005c: 0xda, # ⧵ REVERSE SOLIDUS 0x29f5: 0xda, # ⧵ REVERSE SOLIDUS OPERATOR 0x00d7: 0xdb, # × MULTIPLICATION SIGN 0x00ae: 0xdc, # ® REGISTERED SIGN 0x00a9: 0xdd, # © COPYRIGHT SIGN 0x2122: 0xde, # ™ TRADE MARK SIGN 0x039e: 0xdf, # Ξ GREEK CAPITAL LETTER XI 0x03b1: 0xe0, # α GREEK SMALL LETTER ALPHA 0x2154: 0xe4, # ⅔ VULGAR FRACTION TWO THIRDS 0x00be: 0xe5, # ¾ VULGAR FRACTION THREE QUARTERS 0x2195: 0xe8, # ↕ UP DOWN ARROW 0x2938: 0xe9, # ⤸ RIGHT-SIDE ARC CLOCKWISE ARROW 0x25af: 0xeb, # ▯ WHITE VERTICAL RECTANGLE 0x1d19: 0xed, # ᴙ LATIN LETTER SMALL CAPITAL REVERSED R 0x042e: 0xee, # Ю CYRILLIC CAPITAL LETTER YU 0x03f4: 0xf2, # ϴ GREEK CAPITAL THETA SYMBOL 0x221e: 0xf3, # ∞ INFINITY 0x03a9: 0xf4, # Ω GREEK CAPITAL LETTER OMEGA 0x03b2: 0xf5, # β GREEK SMALL LETTER BETA 0x03a3: 0xf6, # Σ GREEK CAPITAL LETTER SIGMA 0x1d540: 0xfb, # 𝕀 MATHEMATICAL DOUBLE-STRUCK CAPITAL I 0x0439: 0xfc, # й CYRILLIC SMALL LETTER SHORT I 0x25ae: 0xff, # ▮ BLACK VERTICAL RECTANGLE # CONFLICT 0x2153: 0xe1, # ⅓ VULGAR FRACTION ONE THIRD (5x10) # CONFLICT 0x00bd: 0xbd, # ½ VULGAR FRACTION ONE HALF (5x10) # CONFLICT 0x00bc: 0xe3, # ¼ VULGAR FRACTION ONE QUARTER (5x10) # CONFLICT 0x00f8: 0xf8, # ø LATIN SMALL LETTER O WITH STROKE (5x10) }, { # FT10 ENGLISH_RUSSIAN CHARACTER FONT 0x00c0: 0x10, # À LATIN CAPITAL LETTER A WITH GRAVE 0x00c1: 0x11, # Á LATIN CAPITAL LETTER A WITH ACUTE 0x00c2: 0x12, # Â LATIN CAPITAL LETTER A WITH CIRCUMFLEX 0x00c3: 0x13, # Ã LATIN CAPITAL LETTER A WITH TILDE 0x00c4: 0x14, # Ä LATIN CAPITAL LETTER A WITH DIAERESIS 0x00c5: 0x15, # Å LATIN CAPITAL LETTER A WITH RING ABOVE 0x00c6: 0x16, # Æ LATIN CAPITAL LETTER AE 0x00c7: 0x17, # Ç LATIN CAPITAL LETTER C WITH CEDILLA 0x00c8: 0x18, # È LATIN CAPITAL LETTER E WITH GRAVE 0x00c9: 0x19, # É LATIN CAPITAL LETTER E WITH ACUTE 0x00ca: 0x1a, # Ê LATIN CAPITAL LETTER E WITH CIRCUMFLEX 0x00cb: 0x1b, # Ë LATIN CAPITAL LETTER E WITH DIAERESIS 0x00cc: 0x1c, # Ì LATIN CAPITAL LETTER I WITH GRAVE 0x00cd: 0x1d, # Í LATIN CAPITAL LETTER I WITH ACUTE 0x00ce: 0x1e, # Î LATIN CAPITAL LETTER I WITH CIRCUMFLEX 0x00cf: 0x1f, # Ï LATIN CAPITAL LETTER I WITH DIAERESIS 0x0410: 0x41, # А CYRILLIC CAPITAL LETTER A 0x0412: 0x42, # В CYRILLIC CAPITAL LETTER VE 0x0421: 0x43, # С CYRILLIC CAPITAL LETTER ES 0x0415: 0x45, # Е CYRILLIC CAPITAL LETTER IE 0x041d: 0x48, # Н CYRILLIC CAPITAL LETTER EN 0x041a: 0x4b, # К CYRILLIC CAPITAL LETTER KA 0x041c: 0x4d, # М CYRILLIC CAPITAL LETTER EM 0x041e: 0x4f, # О CYRILLIC CAPITAL LETTER O 0x0420: 0x50, # Р CYRILLIC CAPITAL LETTER ER 0x0422: 0x54, # Т CYRILLIC CAPITAL LETTER TE 0x0425: 0x58, # Х CYRILLIC CAPITAL LETTER HA 0x042c: 0x62, # Ь CYRILLIC CAPITAL LETTER SOFT SIGN 0x00a2: 0x5c, # ¢ CENT SIGN 0x21b2: 0x7e, # ↲ DOWNWARDS ARROW WITH TIP LEFTWARDS 0x00d0: 0x80, # Ð LATIN CAPITAL LETTER ETH 0x00d1: 0x81, # Ñ LATIN CAPITAL LETTER N WITH TILDE 0x00d2: 0x82, # Ò LATIN CAPITAL LETTER O WITH GRAVE 0x00d3: 0x83, # Ó LATIN CAPITAL LETTER O WITH ACUTE 0x00f4: 0x84, # ô LATIN SMALL LETTER O WITH CIRCUMFLEX 0x00f5: 0x85, # õ LATIN SMALL LETTER O WITH TILDE 0x00f6: 0x86, # ö LATIN SMALL LETTER O WITH DIAERESIS 0x00d7: 0x87, # × MULTIPLICATION SIGN 0x00d8: 0x88, # Ø LATIN CAPITAL LETTER O WITH STROKE 0x00d9: 0x89, # Ù LATIN CAPITAL LETTER U WITH GRAVE 0x00da: 0x8a, # Ú LATIN CAPITAL LETTER U WITH ACUTE 0x00db: 0x8b, # Û LATIN CAPITAL LETTER U WITH CIRCUMFLEX 0x00dc: 0x8c, # Ü LATIN CAPITAL LETTER U WITH DIAERESIS 0x00dd: 0x8d, # Ý LATIN CAPITAL LETTER Y WITH ACUTE 0x00de: 0x8e, # Þ LATIN CAPITAL LETTER THORN 0x00df: 0x8f, # ß LATIN SMALL LETTER SHARP S 0x00e0: 0x90, # à LATIN SMALL LETTER A WITH GRAVE 0x00e1: 0x91, # á LATIN SMALL LETTER A WITH ACUTE 0x00e2: 0x92, # â LATIN SMALL LETTER A WITH CIRCUMFLEX 0x00e3: 0x93, # ã LATIN SMALL LETTER A WITH TILDE 0x00e4: 0x94, # ä LATIN SMALL LETTER A WITH DIAERESIS 0x00e5: 0x95, # å LATIN SMALL LETTER A WITH RING ABOVE 0x00e6: 0x96, # æ LATIN SMALL LETTER AE 0x00e7: 0x97, # ç LATIN SMALL LETTER C WITH CEDILLA 0x00e8: 0x98, # è LATIN SMALL LETTER E WITH GRAVE 0x00e9: 0x99, # é LATIN SMALL LETTER E WITH ACUTE 0x00ea: 0x9a, # ê LATIN SMALL LETTER E WITH CIRCUMFLEX 0x00eb: 0x9b, # ë LATIN SMALL LETTER E WITH DIAERESIS 0x00ec: 0x9c, # ì LATIN SMALL LETTER I WITH GRAVE 0x00ed: 0x9d, # í LATIN SMALL LETTER I WITH ACUTE 0x00ee: 0x9e, # î LATIN SMALL LETTER I WITH CIRCUMFLEX 0x00ef: 0x9f, # ï LATIN SMALL LETTER I WITH DIAERESIS 0x042e: 0xb0, # Ю CYRILLIC CAPITAL LETTER YU 0x2aa1: 0xc8, # ⪡ DOUBLE NESTED LESS-THAN 0x2aa2: 0xc9, # ⪢ DOUBLE NESTED GREATER-THAN 0x2193: 0xda, # ↓ DOWNWARDS ARROW 0x0301: 0xe7, # ́ COMBINING ACUTE ACCENT 0x0308: 0xe8, # ̈ COMBINING DIAERESIS 0x0303: 0xe9, # ̃ COMBINING TILDE 0x00bc: 0xf0, # ¼ VULGAR FRACTION ONE QUARTER 0x2153: 0xf1, # ⅓ VULGAR FRACTION ONE THIRD 0x00bd: 0xf2, # ½ VULGAR FRACTION ONE HALF 0x00be: 0xf3, # ¾ VULGAR FRACTION THREE QUARTERS 0x00a7: 0xfd, # § SECTION SIGN 0x00b6: 0xfe, # ¶ PILCROW SIGN 0x25ae: 0xff, # ▮ BLACK VERTICAL RECTANGLE # conflict 0x00e9: 0xea, # 'é' LATIN SMALL LETTER E WITH ACUTE # duplicate 0x00e7: 0xeb, # 'ç' LATIN SMALL LETTER C WITH CEDILLA }, { # FT11 WESTERN_EUROPEAN_II CHARACTER FONT 0x00b1: 0x10, # ± PLUS-MINUS SIGN 0x039e: 0x11, # Ξ GREEK CAPITAL LETTER XI 0x2248: 0x1a, # ≈ ALMOST EQUAL TO 0x222b: 0x1b, # ∫ INTEGRAL 0x2017: 0x1c, # ‗ DOUBLE LOW LINE 0x0303: 0x1d, # ̃ COMBINING TILDE 0x00b2: 0x1e, # ² SUPERSCRIPT TWO 0x00b3: 0x1f, # ³ SUPERSCRIPT THREE 0x00c7: 0x80, # Ç LATIN CAPITAL LETTER C WITH CEDILLA 0x00fc: 0x81, # ü LATIN SMALL LETTER U WITH DIAERESIS 0x00e9: 0x82, # é LATIN SMALL LETTER E WITH ACUTE 0x00e2: 0x83, # â LATIN SMALL LETTER A WITH CIRCUMFLEX 0x00e4: 0x84, # ä LATIN SMALL LETTER A WITH DIAERESIS 0x00e0: 0x85, # à LATIN SMALL LETTER A WITH GRAVE 0x00e7: 0x87, # ç LATIN SMALL LETTER C WITH CEDILLA 0x00ea: 0x88, # ê LATIN SMALL LETTER E WITH CIRCUMFLEX 0x00eb: 0x89, # ë LATIN SMALL LETTER E WITH DIAERESIS 0x00e8: 0x8a, # è LATIN SMALL LETTER E WITH GRAVE 0x00ef: 0x8b, # ï LATIN SMALL LETTER I WITH DIAERESIS 0x00ee: 0x8c, # î LATIN SMALL LETTER I WITH CIRCUMFLEX 0x00ec: 0x8d, # ì LATIN SMALL LETTER I WITH GRAVE 0x00c4: 0x8e, # Ä LATIN CAPITAL LETTER A WITH DIAERESIS 0x00c5: 0x8f, # Å LATIN CAPITAL LETTER A WITH RING ABOVE 0x00c9: 0x90, # É LATIN CAPITAL LETTER E WITH ACUTE 0x00e6: 0x91, # æ LATIN SMALL LETTER AE 0x00c6: 0x92, # Æ LATIN CAPITAL LETTER AE 0x00f4: 0x93, # ô LATIN SMALL LETTER O WITH CIRCUMFLEX 0x00f6: 0x94, # ö LATIN SMALL LETTER O WITH DIAERESIS 0x00f2: 0x95, # ò LATIN SMALL LETTER O WITH GRAVE 0x00fb: 0x96, # û LATIN SMALL LETTER U WITH CIRCUMFLEX 0x00f9: 0x97, # ù LATIN SMALL LETTER U WITH GRAVE 0x00ff: 0x98, # ÿ LATIN SMALL LETTER Y WITH DIAERESIS 0x00dc: 0x9a, # Ü LATIN CAPITAL LETTER U WITH DIAERESIS 0x00f1: 0x9b, # ñ LATIN SMALL LETTER N WITH TILDE 0x00d1: 0x9c, # Ñ LATIN CAPITAL LETTER N WITH TILDE 0x00bf: 0x9f, # ¿ INVERTED QUESTION MARK 0x00e1: 0xa0, # á LATIN SMALL LETTER A WITH ACUTE 0x00ed: 0xa1, # í LATIN SMALL LETTER I WITH ACUTE 0x00f3: 0xa2, # ó LATIN SMALL LETTER O WITH ACUTE 0x00fa: 0xa3, # ú LATIN SMALL LETTER U WITH ACUTE 0x00a2: 0xa4, # ¢ CENT SIGN 0x00a3: 0xa5, # £ POUND SIGN 0x00a5: 0xa6, # ¥ YEN SIGN 0x00b4: 0xa7, # ´ ACUTE ACCENT 0x2a0d: 0xa8, # ⨍ FINITE PART INTEGRAL 0x00a1: 0xa9, # ¡ INVERTED EXCLAMATION MARK 0x00c3: 0xaa, # Ã LATIN CAPITAL LETTER A WITH TILDE 0x00e3: 0xab, # ã LATIN SMALL LETTER A WITH TILDE 0x00d5: 0xac, # Õ LATIN CAPITAL LETTER O WITH TILDE 0x00f5: 0xad, # õ LATIN SMALL LETTER O WITH TILDE 0x00f8: 0xaf, # ø LATIN SMALL LETTER O WITH STROKE 0x0307: 0xb0, # ̇ COMBINING DOT ABOVE 0x0308: 0xb1, # ̈ COMBINING DIAERESIS 0x030a: 0xb2, # ̊ COMBINING RING ABOVE 0x0300: 0xb3, # ̀ COMBINING GRAVE ACCENT 0x0301: 0xb4, # ́ COMBINING ACUTE ACCENT 0x00bd: 0xb5, # ½ VULGAR FRACTION ONE HALF 0x00bc: 0xb6, # ¼ VULGAR FRACTION ONE QUARTER 0x00d7: 0xb7, # × MULTIPLICATION SIGN 0x00f7: 0xb8, # ÷ DIVISION SIGN 0x2264: 0xb9, # ≤ LESS-THAN OR EQUAL TO 0x2265: 0xba, # ≥ GREATER-THAN OR EQUAL TO 0x2aa1: 0xbb, # ⪡ DOUBLE NESTED LESS-THAN 0x2aa2: 0xbc, # ⪢ DOUBLE NESTED GREATER-THAN 0x2260: 0xbd, # ≠ NOT EQUAL TO 0x221a: 0xbe, # √ SQUARE ROOT 0x203e: 0xbf, # ‾ OVERLINE 0x221e: 0xc2, # ∞ INFINITY 0x25f8: 0xc3, # ◸ UPPER LEFT TRIANGLE 0x21b2: 0xc4, # ↲ DOWNWARDS ARROW WITH TIP LEFTWARDS 0x2191: 0xc5, # ↑ UPWARDS ARROW 0x2193: 0xc6, # ↓ DOWNWARDS ARROW 0x2192: 0xc7, # → RIGHTWARDS ARROW 0x2190: 0xc8, # ← LEFTWARDS ARROW 0x250c: 0xc9, # ┌ BOX DRAWINGS LIGHT DOWN AND RIGHT 0x231c: 0xc9, # ⌜ TOP LEFT CORNER 0x2510: 0xca, # ┐ BOX DRAWINGS LIGHT DOWN AND LEFT 0x231d: 0xca, # ⌝ TOP RIGHT CORNER 0x2514: 0xcb, # └ BOX DRAWINGS LIGHT UP AND RIGHT 0x231e: 0xcb, # ⌞ BOTTOM LEFT CORNER 0x2518: 0xcc, # ┘ BOX DRAWINGS LIGHT UP AND LEFT 0x231f: 0xcc, # ⌟ BOTTOM RIGHT CORNER 0x00b7: 0xcd, # · MIDDLE DOT 0x00ae: 0xce, # ® REGISTERED SIGN 0x00a9: 0xcf, # © COPYRIGHT SIGN 0x2122: 0xd0, # ™ TRADE MARK SIGN 0x2020: 0xd1, # † DAGGER 0x00a7: 0xd2, # § SECTION SIGN 0x00b6: 0xd3, # ¶ PILCROW SIGN 0x25ff: 0xd5, # ◿ LOWER RIGHT TRIANGLE 0x0398: 0xd6, # Θ GREEK CAPITAL LETTER THETA 0x03f4: 0xd6, # ϴ GREEK CAPITAL THETA SYMBOL 0x1d6b5: 0xd8, # 𝚵 MATHEMATICAL BOLD CAPITAL XI 0x2aea: 0xd9, # ⫪ DOUBLE DOWN TACK 0x03a3: 0xda, # Σ GREEK CAPITAL LETTER SIGMA 0x297e: 0xdb, # ⥾ UP FISH TAIL 0x00d8: 0xdc, # Ø LATIN CAPITAL LETTER O WITH STROKE 0x03a8: 0xdd, # Ψ GREEK CAPITAL LETTER PSI 0x03a9: 0xde, # Ω GREEK CAPITAL LETTER OMEGA 0x03b1: 0xdf, # α GREEK SMALL LETTER ALPHA 0x03b2: 0xe0, # β GREEK SMALL LETTER BETA 0x03b4: 0xe2, # δ GREEK SMALL LETTER DELTA 0x03b6: 0xe4, # ζ GREEK SMALL LETTER ZETA 0x03b7: 0xe5, # η GREEK SMALL LETTER ETA 0x00b5: 0xea, # µ MICRO SIGN 0x03b3: 0xec, # γ GREEK SMALL LETTER GAMMA 0x03c0: 0xed, # π GREEK SMALL LETTER PI 0x03c3: 0xef, # σ GREEK SMALL LETTER SIGMA 0x25bc: 0xf5, # ▼ BLACK DOWN-POINTING TRIANGLE 0x25b6: 0xf6, # ▶ BLACK RIGHT-POINTING TRIANGLE 0x25c0: 0xf7, # ◀ BLACK LEFT-POINTING TRIANGLE 0x21a4: 0xf9, # ↤ LEFTWARDS ARROW FROM BAR 0x21e5: 0xfb, # ⇥ RIGHTWARDS ARROW TO BAR 0x25af: 0xfc, # ▯ WHITE VERTICAL RECTANGLE } ], 'fonts': [ # FT00 ENGLISH_JAPANESE CHARACTER FONT 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version FONTDATA['mappings'].append(FONTDATA['mappings'][1]) FONTDATA['fonts'].append(FONTDATA['fonts'][1]) FONTDATA['metrics'].append(dict(FONTDATA['metrics'][1])) FONTDATA['metrics'][5]['name'] = 'FT01_5x10' FONTDATA['metrics'][5]['glyph_size'] = (5, 10) # Replicate FT10 data to support making 5x10 version FONTDATA['mappings'].append(FONTDATA['mappings'][2]) FONTDATA['fonts'].append(FONTDATA['fonts'][2]) FONTDATA['metrics'].append(dict(FONTDATA['metrics'][2])) FONTDATA['metrics'][6]['name'] = 'FT10_5x10' FONTDATA['metrics'][6]['glyph_size'] = (5, 10) # Replicate FT11 data to support making 5x10 version FONTDATA['mappings'].append(FONTDATA['mappings'][3]) FONTDATA['fonts'].append(FONTDATA['fonts'][3]) FONTDATA['metrics'].append(dict(FONTDATA['metrics'][3])) FONTDATA['metrics'][7]['name'] = 'FT11_5x10' FONTDATA['metrics'][7]['glyph_size'] = (5, 10) class winstar_weh(ws0010): """ Values to be used by the winstar_weh class during initialization of the display. Contains FONTDATA to enable the winstar_weh class to embed the same fonts that are contained within any character-based display that uses the ws0010 controller. .. versionadded:: 3.6.0 """ FONTDATA = { 'mappings': ws0010.FONTDATA['mappings'], 'fonts': ws0010.FONTDATA['fonts'], 'metrics': [] } for i, m in enumerate(ws0010.FONTDATA['metrics']): FONTDATA['metrics'].append(dict(m)) FONTDATA['metrics'][i]['xwidth'] = 5

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0e52800152dc4132c09824b1c29076f289c161e3

6,796

py

Python

Server-Test-PDP-Exd/2.Ballot/run.py

Parwatsingh/OptSmart

0564abdd04e7bc37a3586982a1d7ca5a97be88d5

[ "Apache-2.0" ]

1

2021-03-13T08:55:13.000Z

Server-Test-PDP-Exd/2.Ballot/run.py

Parwatsingh/OptSmart

0564abdd04e7bc37a3586982a1d7ca5a97be88d5

[ "Apache-2.0" ]

null

Server-Test-PDP-Exd/2.Ballot/run.py

Parwatsingh/OptSmart

0564abdd04e7bc37a3586982a1d7ca5a97be88d5

[ "Apache-2.0" ]

null

import subprocess #subprocess.call("make") GenAUs = ["g++", "-std=c++17", "GenAUs.cpp", "-o", "genAUs", "-O3", "-g"] subprocess.call(GenAUs) print("\n\n\n---------------- Workload 1 ----------------\n") cmd = ["./genAUs", "100", "900", "50", "1000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "50", "2000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "50", "3000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "50", "4000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "50", "5000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "50", "6000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") print("\n\n\n---------------- Workload 2 ----------------\n") cmd = ["./genAUs", "100", "900", "10", "3000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "20", "2000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "30", "3000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "40", "4000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "100", "900", "60", "5000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") print("\n\n\n---------------- Workload 3 ----------------\n") cmd = ["./genAUs", "200", "1800", "50", "2000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "300", "2700", "50", "3000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "400", "3600", "50", "4000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "500", "4500", "50", "5000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n") cmd = ["./genAUs", "600", "5400", "50", "6000", "0"] subprocess.call(cmd) subprocess.call(["python", "run.py"], cwd="Serial") subprocess.call(["python", "run.py"], cwd="BTO-STM") subprocess.call(["python", "run.py"], cwd="MVTO") subprocess.call(["python", "run.py"], cwd="Spec-Bin") #subprocess.call(["python", "run.py"], cwd="Static-Bin") print("\n-------------------------------------------------\n")

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0e53eefb00a151b2108cafb122e3c212edc3e7f0

4,257

py

Python

code/sentiment.py

JonaBenja/lad-assignment1

d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74

[ "Apache-2.0" ]

null

code/sentiment.py

JonaBenja/lad-assignment1

d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74

[ "Apache-2.0" ]

null

code/sentiment.py

JonaBenja/lad-assignment1

d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74

[ "Apache-2.0" ]

null

from polyglot.text import Text from statistics import mean import pandas as pd from collections import defaultdict, Counter import matplotlib.pyplot as plt import numpy as np """ DUTCH """ # Prepare dictionaries sents_sentiment = defaultdict(list) # Read in data tsv_file = "../data/nl/decoded_nl_greta_overview.tsv" content = pd.read_csv(tsv_file, sep="\t", keep_default_na=False, header=0, encoding = 'utf-8') articles = content['Text'] publishers = content['Publisher'] # Save mean sentiment of sentences per article for text, publisher in zip(articles, publishers): text = ''.join(x for x in text if x.isprintable()) sentences = Text(text, hint_language_code = 'nl').sentences sent_senti = float(mean([sent.polarity for sent in sentences])) sents_sentiment[publisher].append(sent_senti) art_pub_sent = defaultdict(dict) for publisher in sents_sentiment: art_pub_sent[publisher] = mean(sents_sentiment[publisher]) d = sents_sentiment top10_publishers = sorted(d, key=lambda k: len(d[k]), reverse=True)[:10] publishers = top10_publishers sentiment = [art_pub_sent[publisher] for publisher in top10_publishers] x = np.arange(len(publishers)) # the label locations width = 0.50 # the width of the bars fig, ax = plt.subplots(1, 1, figsize = (16, 6)) rects1 = ax.bar(x - width/2, sentiment, width, label='Men') # Add some text for labels, title and custom x-axis tick labels, etc. ax.set_ylabel('SENTIMENT') ax.set_xlabel('PUBLISHER') ax.set_title('MEAN ARTICLE SENTIMENT OF DUTCH PUBLISHERS') ax.set_xticks(x) ax.set_xticklabels(publishers) def autolabel(rects): """Attach a text label above each bar in *rects*, displaying its height.""" for rect, publisher in zip(rects, top10_publishers): label = len(sents_sentiment[publisher]) height = rect.get_height() ax.annotate('{}'.format(label), xy=(rect.get_x() + rect.get_width() / 2, height), xytext=(0, 3), # 3 points vertical offset textcoords="offset points", ha='center', va='bottom') autolabel(rects1) fig.tight_layout() plt.show() fig.savefig("../data/plots/nl_publisher_sentiment.png") """ ITALIAN """ sents_sentiment = defaultdict(list) tsv_file = "../data/it/it_greta_overview.tsv" content = pd.read_csv(tsv_file, sep="\t", keep_default_na=False, header=0, encoding = 'utf-8') articles = content['Text'] publishers = content['Publisher'] # Save mean sentiment of sentences per article for text, publisher in zip(articles, publishers): if publisher == 'la Repubblica': publisher = 'La Repubblica' text = ''.join(x for x in text if x.isprintable()) sentences = Text(text, hint_language_code = 'it').sentences sent_senti = float(mean([sent.polarity for sent in sentences])) sents_sentiment[publisher].append(sent_senti) art_pub_sent = defaultdict(dict) for publisher in sents_sentiment: art_pub_sent[publisher] = mean(sents_sentiment[publisher]) d = sents_sentiment top10_publishers = sorted(d, key=lambda k: len(d[k]), reverse=True)[:10] """ SENTIMENT PLOT """ publishers = top10_publishers sentiment = [art_pub_sent[publisher] for publisher in top10_publishers] x = np.arange(len(publishers)) # the label locations width = 0.50 # the width of the bars fig, ax = plt.subplots(1, 1, figsize = (16, 6)) rects1 = ax.bar(x - width/2, sentiment, width, label='Men') # Add some text for labels, title and custom x-axis tick labels, etc. ax.set_ylabel('SENTIMENT') ax.set_xlabel('PUBLISHER') ax.set_title('MEAN ARTICLE SENTIMENT OF ITALIAN PUBLISHERS') ax.set_xticks(x) ax.set_xticklabels(publishers) def autolabel(rects): """Attach a text label above each bar in *rects*, displaying its height.""" for rect, publisher in zip(rects, top10_publishers): label = len(sents_sentiment[publisher]) height = rect.get_height() ax.annotate('{}'.format(label), xy=(rect.get_x() + rect.get_width() / 2, height), xytext=(0, 3), # 3 points vertical offset textcoords="offset points", ha='center', va='bottom') autolabel(rects1) fig.tight_layout() plt.show() fig.savefig("../data/plots/it_publisher_sentiment.png")

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null

0

1

0

1

0

null

0

7

0e7a792774694d631aa13835df29f4d31c3043a8

72

py

Python

Python 3/juego_aun_sin_nombre/nombredejuego.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

null

Python 3/juego_aun_sin_nombre/nombredejuego.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

null

Python 3/juego_aun_sin_nombre/nombredejuego.py

DarkShadow4/python

4cd94e0cf53ee06c9c31e9272572ca9656697c30

[ "MIT" ]

1

2020-08-19T17:25:22.000Z

import sys, pygame # Main Game def GetMovement(): """ """ pass

10.285714

18

0.569444

8

72

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0

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null

0

1

0

1

0

7

0e899df236b62cac8c3e686ca972c178ab27afa8

198

py

Python

temboo/core/Library/Stripe/Account/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Stripe/Account/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Stripe/Account/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.Stripe.Account.RetrieveAccountDetails import RetrieveAccountDetails, RetrieveAccountDetailsInputSet, RetrieveAccountDetailsResultSet, RetrieveAccountDetailsChoreographyExecution

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null

0

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1

0

1

0

7

7ebdaee9ca66e441cbb82f950e139148327a97d8

14,766

py

Python

test/python/pulse/test_utils.py

Sahar2/qiskit-terra

19fbaeb68f2b279c9748384e919e1d1b006860f2

[ "Apache-2.0" ]

null

test/python/pulse/test_utils.py

Sahar2/qiskit-terra

19fbaeb68f2b279c9748384e919e1d1b006860f2

[ "Apache-2.0" ]

null

test/python/pulse/test_utils.py

Sahar2/qiskit-terra

19fbaeb68f2b279c9748384e919e1d1b006860f2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """Test cases for the pulse utilities.""" import unittest import numpy as np from qiskit import pulse from qiskit.pulse.cmd_def import CmdDef from qiskit.pulse.commands import AcquireInstruction from qiskit.pulse.exceptions import PulseError from qiskit.test import QiskitTestCase from qiskit.test.mock import FakeOpenPulse2Q from qiskit.pulse.utils import add_implicit_acquires, align_measures class TestAutoMerge(QiskitTestCase): """Test the helper function which aligns acquires.""" def setUp(self): self.backend = FakeOpenPulse2Q() self.device = pulse.PulseChannelSpec.from_backend(self.backend) self.config = self.backend.configuration() self.defaults = self.backend.defaults() self.cmd_def = CmdDef.from_defaults(self.defaults.cmd_def, self.defaults.pulse_library) self.short_pulse = pulse.SamplePulse(samples=np.array([0.02739068], dtype=np.complex128), name='p0') def test_align_measures(self): """Test that one acquire is delayed to match the time of the later acquire.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.drives[0])) sched = sched.insert(1, acquire(self.device.acquires[0], self.device.memoryslots[0])) sched = sched.insert(10, acquire(self.device.acquires[1], self.device.memoryslots[1])) sched = align_measures([sched], self.cmd_def)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 10) sched = align_measures([sched], self.cmd_def, align_time=20)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 20) def test_align_post_u3(self): """Test that acquires are scheduled no sooner than the duration of the longest X gate. """ acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.drives[0])) sched = sched.insert(1, acquire(self.device.acquires[0], self.device.memoryslots[0])) sched = align_measures([sched], self.cmd_def)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 4) sched = align_measures([sched], self.cmd_def, max_calibration_duration=10)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 10) def test_error_multi_acquire(self): """Test that an error is raised if multiple acquires occur on the same channel.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.drives[0])) sched = sched.insert(4, acquire(self.device.acquires[0], self.device.memoryslots[0])) sched = sched.insert(10, acquire(self.device.acquires[0], self.device.memoryslots[0])) with self.assertRaises(PulseError): align_measures([sched], self.cmd_def) def test_error_post_acquire_pulse(self): """Test that an error is raised if a pulse occurs on a channel after an acquire.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.drives[0])) sched = sched.insert(4, acquire(self.device.acquires[0], self.device.memoryslots[0])) # No error with separate channel sched = sched.insert(10, self.short_pulse(self.device.drives[1])) align_measures([sched], self.cmd_def) sched = sched.insert(10, self.short_pulse(self.device.drives[0])) with self.assertRaises(PulseError): align_measures([sched], self.cmd_def) def test_align_across_schedules(self): """Test that acquires are aligned together across multiple schedules.""" acquire = pulse.Acquire(5) sched1 = pulse.Schedule(name='fake_experiment') sched1 = sched1.insert(0, self.short_pulse(self.device.drives[0])) sched1 = sched1.insert(10, acquire(self.device.acquires[0], self.device.memoryslots[0])) sched2 = pulse.Schedule(name='fake_experiment') sched2 = sched2.insert(3, self.short_pulse(self.device.drives[0])) sched2 = sched2.insert(25, acquire(self.device.acquires[0], self.device.memoryslots[0])) schedules = align_measures([sched1, sched2], self.cmd_def) for time, inst in schedules[0].instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 25) for time, inst in schedules[0].instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 25) class TestAddImplicitAcquires(QiskitTestCase): """Test the helper function which makes implicit acquires explicit.""" def setUp(self): self.backend = FakeOpenPulse2Q() self.device = pulse.PulseChannelSpec.from_backend(self.backend) self.config = self.backend.configuration() self.defaults = self.backend.defaults() self.cmd_def = CmdDef.from_defaults(self.defaults.cmd_def, self.defaults.pulse_library) self.short_pulse = pulse.SamplePulse(samples=np.array([0.02739068], dtype=np.complex128), name='p0') acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.drives[0])) self.sched = sched.insert(5, acquire(self.device.acquires, self.device.memoryslots)) def test_add_implicit(self): """Test that implicit acquires are made explicit according to the meas map.""" sched = add_implicit_acquires(self.sched, [[0, 1]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1}) def test_add_across_meas_map_sublists(self): """Test that implicit acquires in separate meas map sublists are all added.""" sched = add_implicit_acquires(self.sched, [[0, 2], [1, 3]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1, 2, 3}) def test_dont_add_all(self): """Test that acquires aren't added if no qubits in the sublist aren't being acquired.""" sched = add_implicit_acquires(self.sched, [[4, 5], [0, 2], [1, 3]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1, 2, 3}) class TestAutoMergeWithDeviceSpecification(QiskitTestCase): """Test the helper function which aligns acquires.""" # TODO: This test will be deprecated in future update. def setUp(self): self.backend = FakeOpenPulse2Q() self.device = pulse.DeviceSpecification.create_from(self.backend) self.config = self.backend.configuration() self.defaults = self.backend.defaults() self.cmd_def = CmdDef.from_defaults(self.defaults.cmd_def, self.defaults.pulse_library) self.short_pulse = pulse.SamplePulse(samples=np.array([0.02739068], dtype=np.complex128), name='p0') def test_align_measures(self): """Test that one acquire is delayed to match the time of the later acquire.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.q[0].drive)) sched = sched.insert(1, acquire(self.device.q[0], self.device.mem[0])) sched = sched.insert(10, acquire(self.device.q[1], self.device.mem[1])) sched = align_measures([sched], self.cmd_def)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 10) sched = align_measures([sched], self.cmd_def, align_time=20)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 20) def test_align_post_u3(self): """Test that acquires are scheduled no sooner than the duration of the longest X gate. """ acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.q[0].drive)) sched = sched.insert(1, acquire(self.device.q[0], self.device.mem[0])) sched = align_measures([sched], self.cmd_def)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 4) sched = align_measures([sched], self.cmd_def, max_calibration_duration=10)[0] for time, inst in sched.instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 10) def test_error_multi_acquire(self): """Test that an error is raised if multiple acquires occur on the same channel.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.q[0].drive)) sched = sched.insert(4, acquire(self.device.q[0], self.device.mem[0])) sched = sched.insert(10, acquire(self.device.q[0], self.device.mem[0])) with self.assertRaises(PulseError): align_measures([sched], self.cmd_def) def test_error_post_acquire_pulse(self): """Test that an error is raised if a pulse occurs on a channel after an acquire.""" acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.q[0].drive)) sched = sched.insert(4, acquire(self.device.q[0], self.device.mem[0])) # No error with separate channel sched = sched.insert(10, self.short_pulse(self.device.q[1].drive)) align_measures([sched], self.cmd_def) sched = sched.insert(10, self.short_pulse(self.device.q[0].drive)) with self.assertRaises(PulseError): align_measures([sched], self.cmd_def) def test_align_across_schedules(self): """Test that acquires are aligned together across multiple schedules.""" acquire = pulse.Acquire(5) sched1 = pulse.Schedule(name='fake_experiment') sched1 = sched1.insert(0, self.short_pulse(self.device.q[0].drive)) sched1 = sched1.insert(10, acquire(self.device.q[0], self.device.mem[0])) sched2 = pulse.Schedule(name='fake_experiment') sched2 = sched2.insert(3, self.short_pulse(self.device.q[0].drive)) sched2 = sched2.insert(25, acquire(self.device.q[0], self.device.mem[0])) schedules = align_measures([sched1, sched2], self.cmd_def) for time, inst in schedules[0].instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 25) for time, inst in schedules[0].instructions: if isinstance(inst, AcquireInstruction): self.assertEqual(time, 25) class TestAddImplicitAcquiresWithDeviceSpecification(QiskitTestCase): """Test the helper function which makes implicit acquires explicit.""" # TODO: This test will be deprecated in future update. def setUp(self): self.backend = FakeOpenPulse2Q() self.device = pulse.DeviceSpecification.create_from(self.backend) self.config = self.backend.configuration() self.defaults = self.backend.defaults() self.cmd_def = CmdDef.from_defaults(self.defaults.cmd_def, self.defaults.pulse_library) self.short_pulse = pulse.SamplePulse(samples=np.array([0.02739068], dtype=np.complex128), name='p0') acquire = pulse.Acquire(5) sched = pulse.Schedule(name='fake_experiment') sched = sched.insert(0, self.short_pulse(self.device.q[0].drive)) self.sched = sched.insert(5, acquire(self.device.q, self.device.mem)) def test_add_implicit(self): """Test that implicit acquires are made explicit according to the meas map.""" sched = add_implicit_acquires(self.sched, [[0, 1]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1}) def test_add_across_meas_map_sublists(self): """Test that implicit acquires in separate meas map sublists are all added.""" sched = add_implicit_acquires(self.sched, [[0, 2], [1, 3]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1, 2, 3}) def test_dont_add_all(self): """Test that acquires aren't added if no qubits in the sublist aren't being acquired.""" sched = add_implicit_acquires(self.sched, [[4, 5], [0, 2], [1, 3]]) acquired_qubits = set() for _, inst in sched.instructions: if isinstance(inst, AcquireInstruction): acquired_qubits.update({a.index for a in inst.acquires}) self.assertEqual(acquired_qubits, {0, 1, 2, 3}) if __name__ == '__main__': unittest.main()

49.885135

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0.652851

1,869

14,766

5.05511

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0.047417

0.034293

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null

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1

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null

0

7

7ec2ef9277ea8e85846f07500d7f39944caaee4b

462

py

Python

src/cronos/constants.py

fentas/staketaxcsv

ad37a32d8864111dbf88e926b80eb4ccacb921c6

[ "MIT" ]

null

src/cronos/constants.py

fentas/staketaxcsv

ad37a32d8864111dbf88e926b80eb4ccacb921c6

[ "MIT" ]

null

src/cronos/constants.py

fentas/staketaxcsv

ad37a32d8864111dbf88e926b80eb4ccacb921c6

[ "MIT" ]

null

# todo: make this configurable EXCHANGE_CRONOS_BLOCKCHAIN = "Cronos" CUR_CRONOS = "CRO" MILLION = 100000000.0 CURRENCIES = { "ibc/14F9BC3E44B8A9C1BE1FB08980FAB87034C9905EF17CF2F5008FC085218811CC": "OSMO", "ibc/EB2CED20AB0466F18BE49285E56B31306D4C60438A022EA995BA65D5E3CF7E09": "SCRT", "ibc/FA0006F056DB6719B8C16C551FC392B62F5729978FC0B125AC9A432DBB2AA1A5": "ATOM", "ibc/E7D5E9D0E9BF8B7354929A817DD28D4D017E745F638954764AA88522A7A409EC": "BTSG", }

46.2

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1

null

1

0

1

0

8

7ed92b31c5181b2aa0b59a07c0666dce2d82d744

94,655

py

Python

figureFunctions.py

conbraun/hodgkinHuxleyModel_Research

336ca3276b681ee685fac70bd087f90a8c687b23

[ "MIT" ]

null

figureFunctions.py

conbraun/hodgkinHuxleyModel_Research

336ca3276b681ee685fac70bd087f90a8c687b23

[ "MIT" ]

null

figureFunctions.py

conbraun/hodgkinHuxleyModel_Research

336ca3276b681ee685fac70bd087f90a8c687b23

[ "MIT" ]

null

import numpy as np import matplotlib as mpl from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import math def recallQuestion1Data(): data_1 = np.array([-124.07267743966287, -96.50906793839974, -83.69271938498048, -75.25080640630922, -68.94545843715301, -63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817]) data_1 = np.reshape(data_1, (1, data_1.shape[0])) data_2 = np.array([-118.47412208518406, -94.50083813752971, -82.46859960536291, -74.37038348895803, -68.25803246075066, -63.346903082754366, -59.24152615719647, -55.71439831618992, -52.6225556220398, -49.8702669855909, -47.39027653321572, -45.133522174766064, -43.063112717246696, -41.150607864956356, -39.37361913503261, -37.71420597578691, -36.157770363155066, -34.692274796309036, -33.307676404160425, -31.99550923333333, -30.748570463006413, -29.56068098370402, -28.42650014550311, -27.341380602869016, -26.301253272382763, -25.302535205019723, -24.342055104440274, -23.416992585474922, -22.52482823816969, -21.66330227033244, -20.830380018452153, -20.024223002252814, -19.243164486487824, -18.48568873371017, -17.750413298029095, -17.0360738405902, -16.34151104756275, -15.665659310664672, -15.007536892832611, -14.36623735097204, -13.740922028081036, -13.130813458275345, -12.535189554973037, -11.953378473040049, -11.3847540532906, -10.82873177190609, -10.284765129033977, -9.752342420661215, -9.230983845977008, -8.72023890912491, -8.21968408028814, -7.72892068555418, -7.24757299912546, -6.77528651527263, -6.311726379846237, -5.85657596408734, -5.409535565573106, -4.970321222819858, -4.538663631913077, -4.114307154731066, -3.6970089097106467, -3.2865379369235415, -2.8826744304471257, -2.4852090314602053, -2.0939421765282313, -1.7086834958894437, -1.3292512572769999, -0.9554718511489688, -0.5871793137152751, -0.22421488446800392, 0.13357340473564433, 0.48633111170405763, 0.8341977394507037, 1.177307067424456, 1.515787460394455, 1.8497621567729383, 2.1793495379986823, 2.5046633804614125, 2.82581309129636, 3.1429039292703846, 3.456037211896857, 3.765310509781094, 4.070817829123122, 4.372649783249865, 4.670893753951736, 4.965634043346663, 5.256952016909033, 5.544926238314951, 5.829632596595089, 6.111144426223088, 6.389532620476846, 6.664865738593644, 6.9372101071266385, 7.206629915863896, 7.473187308621153, 7.73694246928, 7.997953703343554, 8.256277515327586, 8.511968682150146, 8.765080322860738]) data_2 = np.reshape(data_2, (1, data_2.shape[0])) data_3 = np.array([-113.89976928852847, -92.64150775643049, -81.30143666877629, -73.51981123390492, -67.58894004643618, -62.79546377312594, -58.77255028609312, -55.306430325842285, -52.26154970168583, -49.546527286135536, -47.096828993896274, -44.86518294737262, -42.81592373654297, -40.92147861409316, -39.160090368799736, -37.51428875396184, -35.96983331514433, -34.51496325552323, -33.13985317911433, -31.836210421402942, -30.59697194377966, -29.41607263757432, -28.28826575397067, -27.208981991673422, -26.174217666336844, -25.180445043912826, -24.224539767369446, -23.30372160935736, -22.415505718377048, -21.55766220437363, -20.728182408322056, -19.925250571745746, -19.14721990075246, -18.392592231381087, -17.660000664710132, -16.94819466635816, -16.256027221792305, -15.58244371664937, -14.926472271098968, -14.287215305820496, -13.663842156099985, -13.05558258153167, -12.461721043922308, -11.881591646969804, -11.314573647825226, -10.760087464796625, -10.217591116757923, -9.686577039384673, -9.166569231399862, -8.657120690687657, -8.157811105423715, -7.6682447706192445, -7.188048704071618, -6.716870939185014, -6.254378975226421, -5.800258367835567, -5.354211444820795, -4.9159561341688915, -4.485224892658339, -4.061763724855285, -3.6453312836225757, -3.2356980439555367, -2.8326455432915743, -2.435965681805107, -2.045460077198977, -1.6609394689299681, -1.2822231674146611, -0.9091385441754863, -0.541520559356804, -0.17921132335150877, 0.177940310365061, 0.5300791238264208, 0.8773438869634704, 1.2198676859343964, 1.557778229351966, 1.8911981341442035, 2.2202451926859714, 2.545032622633115, 2.8656693007813385, 3.1822599821947146, 3.49490550564412, 3.8037029864313823, 4.108745997484354, 4.410124739573787, 4.707926201405127, 5.00223431037435, 5.293130074510425, 5.580691716353152, 5.864994799197597, 6.146112346304187, 6.424114953444573, 6.699070895350488, 6.971046226340857, 7.240104875595417, 7.506308737324954, 7.769717756230097, 8.030390008565366, 8.288381778953365, 8.543747633319477, 8.796540488228667]) data_3 = np.reshape(data_3, (1, data_3.shape[0])) data_4 = np.array([-110.0322091065856, -90.91051258400996, -80.18616512324756, -72.69713167596393, -66.9372286362957, -62.25588429757933, -58.31217996426342, -54.90499010409803, -51.90566460569442, -49.226911771572176, -46.80677398773253, -44.59968334182487, -42.571146394040085, -40.694422959494965, -38.94836355454164, -37.31595192189148, -35.78329358154169, -34.33889601650266, -32.97314506679706, -31.677916655984244, -30.44628393169545, -29.27229299711588, -28.150788814958986, -27.077278389550365, -26.04782204085272, -25.058946120784785, -24.10757228934766, -23.190959718001604, -22.30665748432924, -21.452465075012103, -20.626399394121275, -19.826667031968803, -19.0516408190757, -18.299839894341574, -17.569912673502124, -16.860622226323265, -16.170833664229793, -15.499503216008943, -14.845668727530763, -14.208441367958994, -13.586998363724325, -12.980576610582407, -12.388467039790742, -11.81000963380661, -11.244589003851045, -10.691630454813943, -10.150596474559634, -9.620983593923064, -9.102319571211877, -8.594160861924848, -8.096090339737621, -7.607715239223983, -7.128665295059333, -6.658591055613759, -6.197162351582722, -5.744066902927773, -5.299009049401345, -4.8617085917503, -4.43189973210564, -4.009330103694082, -3.5937598808867137, -3.184960961759366, -2.7827162161767367, -2.3868187932296907, -1.9970714824593134, -1.6132861239386007, -1.2352830628049976, -0.8628906442684673, -0.4959447455609305, -0.13428834161774914, 0.2222288983799772, 0.5737509861938779, 0.9204159637995737, 1.2623562288501582, 1.5996988382612498, 1.9325657916536574, 2.261074296236772, 2.585337014585185, 2.9054622965870713, 3.221554396799089, 3.5337136782617784, 3.8420368038106987, 4.146616915764681, 4.4475438048145515, 4.744904068964963, 5.038781263079005, 5.329256039851981, 5.616406282659175, 5.90030723092305, 6.1810315984191035, 6.458649685111632, 6.73322948278144, 7.004836775013249, 7.273535231768653, 7.53938649899603, 7.802450283508166, 8.06278443345986, 8.320445014745927, 8.57548638340308, 8.82796125451396]) data_4 = np.reshape(data_4, (1, data_4.shape[0])) data_5 = np.array([-106.68197608953929, -89.2912747393856, -79.11836658831197, -71.90057338915594, -66.30201803475484, -61.727665238087354, -57.860105056088095, -54.50987203906052, -51.55475708702588, -48.91131668465519, -46.52003396848468, -44.33696388794061, -42.32873408705916, -40.4694037059372, -38.73840853353113, -37.119170688899395, -35.59813053743837, -34.164055736859, -32.807537346110266, -31.520615334475163, -30.29649555486, -29.12933261833011, -28.01406107279822, -26.946262537805865, -25.922059980059935, -24.938032736888374, -23.991147585792863, -23.07870235579858, -22.19827943849652, -21.347707183389407, -20.52502762550952, -19.728469338729894, -18.956424467262334, -18.207429187309934, -17.480147001388417, -16.773354386718903, -16.085928410287888, -15.416835995930949, -14.765124585823596, -14.129913984311921, -13.510389209259037, -12.905794204714073, -12.315426293591814, -11.738631268180844, -11.174799032302447, -10.623359722632163, -10.083780247071754, -9.555561187641517, -9.038234022708414, -8.531358629899984, -8.034521036219461, -7.547331386740544, -7.06942210674306, -6.600446235630054, -6.140075913766622, -5.688001005635787, -5.24392784485531, -4.807578088348108, -4.378687668475528, -3.957005833227426, -3.5422942657222247, -3.134326275360371, -2.732886053628665, -2.337767988561728, -1.9487760323294838, -1.565723117096637, -1.1884306148383803, -0.8167278371416486, -0.4504515715454046, -0.08944565122552109, 0.2664394447894944, 0.6173469634454004, 0.96341422384532, 1.3047729398751795, 1.6415495211846416, 1.9738653542225042, 2.301837064902656, 2.625576764343779, 2.945192278914242, 3.260787365847507, 3.5724619154538897, 3.880312140900118, 4.184430756523138, 4.48490714544788, 4.7818275172720135, 5.075275056558951, 5.3653300627350635, 5.652070081978352, 5.935570031663256, 6.215902317856794, 6.493136946344602, 6.7673416275328675, 7.038581875724758, 7.306921103093621, 7.572420708631871, 7.835140162523647, 8.095137086035164, 8.352467327444213, 8.607185033987372, 8.859342720264069]) data_5 = np.reshape(data_5, (1, data_5.shape[0])) data_6 = np.array([-103.72686113746713, -87.77023458789827, -78.09416403056701, -71.12852851768808, -65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595]) data_6 = np.reshape(data_6, (1, data_6.shape[0])) data_7 = np.array([-101.08342073512574, -86.33615978735642, -77.11013678739499, -70.37953323777744, -65.07789825515522, -60.703462680351485, -56.97968213882281, -53.73782716759499, -50.86733111062007, -48.29179190958785, -45.95620173262307, -43.81963672302664, -41.85082480706658, -40.02533054515407, -38.32369696604857, -36.73017873265576, -35.231854271849095, -33.817988476481005, -32.47956563543057, -31.208940784875278, -29.999575183036146, -28.845832668668677, -27.742820824603967, -26.686265614275907, -25.672411367100572, -24.69794020045315, -23.759906514819146, -22.855683299829916, -21.982917784890674, -21.13949454779567, -20.32350462564499, -19.53321949266058, -18.767069013017338, -18.0236226612302, -17.301573446137937, -16.59972408408499, -15.91697505401298, -15.252314235297522, -14.604807883190347, -13.973592739706149, -13.35786911284564, -12.756894784920192, -12.1699796335365, -11.596480867554462, -11.03579879534804, -10.487373055866925, -9.950679252708067, -9.425225940794506, -8.910551922229255, -8.40622381391532, -7.911833854848678, -7.426997925395408, -6.95135375428648, -6.484559292436984, -6.026291235320773, -5.576243677888709, -5.13412688800598, -4.699666186091338, -4.27260092016126, -3.8526835265997055, -3.439678668300962, -3.033362442549777, -2.6335216520887994, -2.2399531333015266, -1.8524631363377397, -1.4708667523298864, -1.094987383563489, -0.7246562527309871, -0.3597119478811818, -8e-323, 0.3546275095585562, 0.7043123142792782, 1.0491903025904856, 1.3893918349123076, 1.7250420394849975, 2.0562610886868424, 2.38316445733086, 2.7058631643594713, 3.024463999188179, 3.3390697338662076, 3.649779322081853, 3.956688086017451, 4.259887891883186, 4.559467315017958, 4.855511795179433, 5.1481037828642116, 5.437322877114627, 5.7232459555121835, 6.005947296867183, 6.285498697007687, 6.561969578256842, 6.835427092911477, 7.105936221129542, 7.373559863634523, 7.638358929487921, 7.900392419311649, 8.159717504176724, 8.416389600488062, 8.670462441039813, 8.921988142560174]) data_7 = np.reshape(data_7, (1, data_7.shape[0])) data_8 = np.array([-98.69213801900612, -84.97964139655502, -76.16325163630101, -69.65225105190164, -64.48753034409458, -60.206625086705806, -56.55079171897674, -53.360534665320735, -50.53055452928068, -47.98767329394963, -45.67896710414232, -43.56491901647111, -41.615241117541146, -39.80620706852079, -38.118883758466026, -36.53792125091425, -35.05070201485628, -33.64672857196108, -32.31717362126786, -31.054543506245167, -29.852422394090663, -28.705274997978044, -27.608292466919394, -26.55727058156438, -25.548512455578223, -24.578750054234952, -23.645080325385234, -22.74491279497351, -21.87592624280514, -21.03603263378598, -20.223346893443736, -19.436161427351976, -18.672924517580338, -17.93222190951847, -17.21276103978848, -16.51335746319109, -15.832923120814288, -15.17045615747332, -14.525032049377408, -13.895795844512882, -13.281955352674677, -12.682775148750075, -12.09757127565642, -11.525706550954677, -10.966586396711923, -10.419655123813195, -9.884392612840326, -9.360311341588506, -8.846953716829612, -8.343889673533692, -7.8507145101340585, -7.367046932485959, -6.892527282793711, -6.426815933006803, -5.969591824531372, -5.520551138716669, -5.079406084205464, -4.645883789086332, -4.219725287112171, -3.8006845886216087, -3.388527827759056, -2.9830324786402085, -2.5839866338352397, -2.191188339340408, -1.8044449808287717, -1.4235727164677978, -1.0483959521698702, -0.6787468554830687, -0.3144649047878734, 0.04460352925047536, 0.3986055726947619, 0.7476822102908283, 1.091968622579683, 1.4315945001951036, 1.7666843371699925, 2.0973577049132075, 2.4237295083589827, 2.745910225688791, 3.06400613282054, 3.3781195138826963, 3.6883488586474007, 3.9947890479236894, 4.297531527744459, 4.596664473195312, 4.892272942554765, 5.184439022516893, 5.473241964992087, 5.758758316146603, 6.04106203821465, 6.320224624478839, 6.596315207979029, 6.869400664241167, 7.139545708535306, 7.406812987911201, 7.671263168429734, 7.932955017779145, 8.191945483682684, 8.448289768282775, 8.702041398755965, 8.953252294389838]) data_8 = np.reshape(data_8, (1, data_8.shape[0])) data_9 = np.array([-96.50906793839974, -83.69271938498048, -75.25080640630922, -68.94545843715301, -63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817, 8.984477536249694]) data_9 = np.reshape(data_9, (1, data_9.shape[0])) data_10 = np.array([-94.50083813752971, -82.46859960536291, -74.37038348895803, -68.25803246075066, -63.346903082754366, -59.24152615719647, -55.71439831618992, -52.6225556220398, -49.8702669855909, -47.39027653321572, -45.133522174766064, -43.063112717246696, -41.150607864956356, -39.37361913503261, -37.71420597578691, -36.157770363155066, -34.692274796309036, -33.307676404160425, -31.99550923333333, -30.748570463006413, -29.56068098370402, -28.42650014550311, -27.341380602869016, -26.301253272382763, -25.302535205019723, -24.342055104440274, -23.416992585474922, -22.52482823816969, -21.66330227033244, -20.830380018452153, -20.024223002252814, -19.243164486487824, -18.48568873371017, -17.750413298029095, -17.0360738405902, -16.34151104756275, -15.665659310664672, -15.007536892832611, -14.36623735097204, -13.740922028081036, -13.130813458275345, -12.535189554973037, -11.953378473040049, -11.3847540532906, -10.82873177190609, -10.284765129033977, -9.752342420661215, -9.230983845977008, -8.72023890912491, -8.21968408028814, -7.72892068555418, -7.24757299912546, -6.77528651527263, -6.311726379846237, -5.85657596408734, -5.409535565573106, -4.970321222819858, -4.538663631913077, -4.114307154731066, -3.6970089097106467, -3.2865379369235415, -2.8826744304471257, -2.4852090314602053, -2.0939421765282313, -1.7086834958894437, -1.3292512572769999, -0.9554718511489688, -0.5871793137152751, -0.22421488446800392, 0.13357340473564433, 0.48633111170405763, 0.8341977394507037, 1.177307067424456, 1.515787460394455, 1.8497621567729383, 2.1793495379986823, 2.5046633804614125, 2.82581309129636, 3.1429039292703846, 3.456037211896857, 3.765310509781094, 4.070817829123122, 4.372649783249865, 4.670893753951736, 4.965634043346663, 5.256952016909033, 5.544926238314951, 5.829632596595089, 6.111144426223088, 6.389532620476846, 6.664865738593644, 6.9372101071266385, 7.206629915863896, 7.473187308621153, 7.73694246928, 7.997953703343554, 8.256277515327586, 8.511968682150146, 8.765080322860738, 9.015663964869667]) data_10 = np.reshape(data_10, (1, data_10.shape[0])) data_11 = np.array([-92.64150775643049, -81.30143666877629, -73.51981123390492, -67.58894004643618, -62.79546377312594, -58.77255028609312, -55.306430325842285, -52.26154970168583, -49.546527286135536, -47.096828993896274, -44.86518294737262, -42.81592373654297, -40.92147861409316, -39.160090368799736, -37.51428875396184, -35.96983331514433, -34.51496325552323, -33.13985317911433, -31.836210421402942, -30.59697194377966, -29.41607263757432, -28.28826575397067, -27.208981991673422, -26.174217666336844, -25.180445043912826, -24.224539767369446, -23.30372160935736, -22.415505718377048, -21.55766220437363, -20.728182408322056, -19.925250571745746, -19.14721990075246, -18.392592231381087, -17.660000664710132, -16.94819466635816, -16.256027221792305, -15.58244371664937, -14.926472271098968, -14.287215305820496, -13.663842156099985, -13.05558258153167, -12.461721043922308, -11.881591646969804, -11.314573647825226, -10.760087464796625, -10.217591116757923, -9.686577039384673, -9.166569231399862, -8.657120690687657, -8.157811105423715, -7.6682447706192445, -7.188048704071618, -6.716870939185014, -6.254378975226421, -5.800258367835567, -5.354211444820795, -4.9159561341688915, -4.485224892658339, -4.061763724855285, -3.6453312836225757, -3.2356980439555367, -2.8326455432915743, -2.435965681805107, -2.045460077198977, -1.6609394689299681, -1.2822231674146611, -0.9091385441754863, -0.541520559356804, -0.17921132335150877, 0.177940310365061, 0.5300791238264208, 0.8773438869634704, 1.2198676859343964, 1.557778229351966, 1.8911981341442035, 2.2202451926859714, 2.545032622633115, 2.8656693007813385, 3.1822599821947146, 3.49490550564412, 3.8037029864313823, 4.108745997484354, 4.410124739573787, 4.707926201405127, 5.00223431037435, 5.293130074510425, 5.580691716353152, 5.864994799197597, 6.146112346304187, 6.424114953444573, 6.699070895350488, 6.971046226340857, 7.240104875595417, 7.506308737324954, 7.769717756230097, 8.030390008565366, 8.288381778953365, 8.543747633319477, 8.796540488228667, 9.046811676615397]) data_11 = np.reshape(data_11, (1, data_11.shape[0])) data_12 = np.array([-90.91051258400996, -80.18616512324756, -72.69713167596393, -66.9372286362957, -62.25588429757933, -58.31217996426342, -54.90499010409803, -51.90566460569442, -49.226911771572176, -46.80677398773253, -44.59968334182487, -42.571146394040085, -40.694422959494965, -38.94836355454164, -37.31595192189148, -35.78329358154169, -34.33889601650266, -32.97314506679706, -31.677916655984244, -30.44628393169545, -29.27229299711588, -28.150788814958986, -27.077278389550365, -26.04782204085272, -25.058946120784785, -24.10757228934766, -23.190959718001604, -22.30665748432924, -21.452465075012103, -20.626399394121275, -19.826667031968803, -19.0516408190757, -18.299839894341574, -17.569912673502124, -16.860622226323265, -16.170833664229793, -15.499503216008943, -14.845668727530763, -14.208441367958994, -13.586998363724325, -12.980576610582407, -12.388467039790742, -11.81000963380661, -11.244589003851045, -10.691630454813943, -10.150596474559634, -9.620983593923064, -9.102319571211877, -8.594160861924848, -8.096090339737621, -7.607715239223983, -7.128665295059333, -6.658591055613759, -6.197162351582722, -5.744066902927773, -5.299009049401345, -4.8617085917503, -4.43189973210564, -4.009330103694082, -3.5937598808867137, -3.184960961759366, -2.7827162161767367, -2.3868187932296907, -1.9970714824593134, -1.6132861239386007, -1.2352830628049976, -0.8628906442684673, -0.4959447455609305, -0.13428834161774914, 0.2222288983799772, 0.5737509861938779, 0.9204159637995737, 1.2623562288501582, 1.5996988382612498, 1.9325657916536574, 2.261074296236772, 2.585337014585185, 2.9054622965870713, 3.221554396799089, 3.5337136782617784, 3.8420368038106987, 4.146616915764681, 4.4475438048145515, 4.744904068964963, 5.038781263079005, 5.329256039851981, 5.616406282659175, 5.90030723092305, 6.1810315984191035, 6.458649685111632, 6.73322948278144, 7.004836775013249, 7.273535231768653, 7.53938649899603, 7.802450283508166, 8.06278443345986, 8.320445014745927, 8.57548638340308, 8.82796125451396, 9.077920767515655]) data_12 = np.reshape(data_12, (1, data_12.shape[0])) data_13 = np.array([-89.2912747393856, -79.11836658831197, -71.90057338915594, -66.30201803475484, -61.727665238087354, -57.860105056088095, -54.50987203906052, -51.55475708702588, -48.91131668465519, -46.52003396848468, -44.33696388794061, -42.32873408705916, -40.4694037059372, -38.73840853353113, -37.119170688899395, -35.59813053743837, -34.164055736859, -32.807537346110266, -31.520615334475163, -30.29649555486, -29.12933261833011, -28.01406107279822, -26.946262537805865, -25.922059980059935, -24.938032736888374, -23.991147585792863, -23.07870235579858, -22.19827943849652, -21.347707183389407, -20.52502762550952, -19.728469338729894, -18.956424467262334, -18.207429187309934, -17.480147001388417, -16.773354386718903, -16.085928410287888, -15.416835995930949, -14.765124585823596, -14.129913984311921, -13.510389209259037, -12.905794204714073, -12.315426293591814, -11.738631268180844, -11.174799032302447, -10.623359722632163, -10.083780247071754, -9.555561187641517, -9.038234022708414, -8.531358629899984, -8.034521036219461, -7.547331386740544, -7.06942210674306, -6.600446235630054, -6.140075913766622, -5.688001005635787, -5.24392784485531, -4.807578088348108, -4.378687668475528, -3.957005833227426, -3.5422942657222247, -3.134326275360371, -2.732886053628665, -2.337767988561728, -1.9487760323294838, -1.565723117096637, -1.1884306148383803, -0.8167278371416486, -0.4504515715454046, -0.08944565122552109, 0.2664394447894944, 0.6173469634454004, 0.96341422384532, 1.3047729398751795, 1.6415495211846416, 1.9738653542225042, 2.301837064902656, 2.625576764343779, 2.945192278914242, 3.260787365847507, 3.5724619154538897, 3.880312140900118, 4.184430756523138, 4.48490714544788, 4.7818275172720135, 5.075275056558951, 5.3653300627350635, 5.652070081978352, 5.935570031663256, 6.215902317856794, 6.493136946344602, 6.7673416275328675, 7.038581875724758, 7.306921103093621, 7.572420708631871, 7.835140162523647, 8.095137086035164, 8.352467327444213, 8.607185033987372, 8.859342720264069, 9.108991333223189]) data_13 = np.reshape(data_13, (1, data_13.shape[0])) data_14 = np.array([-87.77023458789827, -78.09416403056701, -71.12852851768808, -65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595, 9.140023469021038]) data_14 = np.reshape(data_14, (1, data_14.shape[0])) data_15 = np.array([-86.33615978735642, -77.11013678739499, -70.37953323777744, -65.07789825515522, -60.703462680351485, -56.97968213882281, -53.73782716759499, -50.86733111062007, -48.29179190958785, -45.95620173262307, -43.81963672302664, -41.85082480706658, -40.02533054515407, -38.32369696604857, -36.73017873265576, -35.231854271849095, -33.817988476481005, -32.47956563543057, -31.208940784875278, -29.999575183036146, -28.845832668668677, -27.742820824603967, -26.686265614275907, -25.672411367100572, -24.69794020045315, -23.759906514819146, -22.855683299829916, -21.982917784890674, -21.13949454779567, -20.32350462564499, -19.53321949266058, -18.767069013017338, -18.0236226612302, -17.301573446137937, -16.59972408408499, -15.91697505401298, -15.252314235297522, -14.604807883190347, -13.973592739706149, -13.35786911284564, -12.756894784920192, -12.1699796335365, -11.596480867554462, -11.03579879534804, -10.487373055866925, -9.950679252708067, -9.425225940794506, -8.910551922229255, -8.40622381391532, -7.911833854848678, -7.426997925395408, -6.95135375428648, -6.484559292436984, -6.026291235320773, -5.576243677888709, -5.13412688800598, -4.699666186091338, -4.27260092016126, -3.8526835265997055, -3.439678668300962, -3.033362442549777, -2.6335216520887994, -2.2399531333015266, -1.8524631363377397, -1.4708667523298864, -1.094987383563489, -0.7246562527309871, -0.3597119478811818, -8e-323, 0.3546275095585562, 0.7043123142792782, 1.0491903025904856, 1.3893918349123076, 1.7250420394849975, 2.0562610886868424, 2.38316445733086, 2.7058631643594713, 3.024463999188179, 3.3390697338662076, 3.649779322081853, 3.956688086017451, 4.259887891883186, 4.559467315017958, 4.855511795179433, 5.1481037828642116, 5.437322877114627, 5.7232459555121835, 6.005947296867183, 6.285498697007687, 6.561969578256842, 6.835427092911477, 7.105936221129542, 7.373559863634523, 7.638358929487921, 7.900392419311649, 8.159717504176724, 8.416389600488062, 8.670462441039813, 8.921988142560174, 9.171017269865834]) data_15 = np.reshape(data_15, (1, data_15.shape[0])) data_16 = np.array([-84.97964139655502, -76.16325163630101, -69.65225105190164, -64.48753034409458, -60.206625086705806, -56.55079171897674, -53.360534665320735, -50.53055452928068, -47.98767329394963, -45.67896710414232, -43.56491901647111, -41.615241117541146, -39.80620706852079, -38.118883758466026, -36.53792125091425, -35.05070201485628, -33.64672857196108, -32.31717362126786, -31.054543506245167, -29.852422394090663, -28.705274997978044, -27.608292466919394, -26.55727058156438, -25.548512455578223, -24.578750054234952, -23.645080325385234, -22.74491279497351, -21.87592624280514, -21.03603263378598, -20.223346893443736, -19.436161427351976, -18.672924517580338, -17.93222190951847, -17.21276103978848, -16.51335746319109, -15.832923120814288, -15.17045615747332, -14.525032049377408, -13.895795844512882, -13.281955352674677, -12.682775148750075, -12.09757127565642, -11.525706550954677, -10.966586396711923, -10.419655123813195, -9.884392612840326, -9.360311341588506, -8.846953716829612, -8.343889673533692, -7.8507145101340585, -7.367046932485959, -6.892527282793711, -6.426815933006803, -5.969591824531372, -5.520551138716669, -5.079406084205464, -4.645883789086332, -4.219725287112171, -3.8006845886216087, -3.388527827759056, -2.9830324786402085, -2.5839866338352397, -2.191188339340408, -1.8044449808287717, -1.4235727164677978, -1.0483959521698702, -0.6787468554830687, -0.3144649047878734, 0.04460352925047536, 0.3986055726947619, 0.7476822102908283, 1.091968622579683, 1.4315945001951036, 1.7666843371699925, 2.0973577049132075, 2.4237295083589827, 2.745910225688791, 3.06400613282054, 3.3781195138826963, 3.6883488586474007, 3.9947890479236894, 4.297531527744459, 4.596664473195312, 4.892272942554765, 5.184439022516893, 5.473241964992087, 5.758758316146603, 6.04106203821465, 6.320224624478839, 6.596315207979029, 6.869400664241167, 7.139545708535306, 7.406812987911201, 7.671263168429734, 7.932955017779145, 8.191945483682684, 8.448289768282775, 8.702041398755965, 8.953252294389838, 9.201972830362942]) data_16 = np.reshape(data_16, (1, data_16.shape[0])) data_17 = np.array([-83.69271938498048, -75.25080640630922, -68.94545843715301, -63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817, 8.984477536249694, 9.23289024474136]) data_17 = np.reshape(data_17, (1, data_17.shape[0])) data_18 = np.array([-82.46859960536291, -74.37038348895803, -68.25803246075066, -63.346903082754366, -59.24152615719647, -55.71439831618992, -52.6225556220398, -49.8702669855909, -47.39027653321572, -45.133522174766064, -43.063112717246696, -41.150607864956356, -39.37361913503261, -37.71420597578691, -36.157770363155066, -34.692274796309036, -33.307676404160425, -31.99550923333333, -30.748570463006413, -29.56068098370402, -28.42650014550311, -27.341380602869016, -26.301253272382763, -25.302535205019723, -24.342055104440274, -23.416992585474922, -22.52482823816969, -21.66330227033244, -20.830380018452153, -20.024223002252814, -19.243164486487824, -18.48568873371017, -17.750413298029095, -17.0360738405902, -16.34151104756275, -15.665659310664672, -15.007536892832611, -14.36623735097204, -13.740922028081036, -13.130813458275345, -12.535189554973037, -11.953378473040049, -11.3847540532906, -10.82873177190609, -10.284765129033977, -9.752342420661215, -9.230983845977008, -8.72023890912491, -8.21968408028814, -7.72892068555418, -7.24757299912546, -6.77528651527263, -6.311726379846237, -5.85657596408734, -5.409535565573106, -4.970321222819858, -4.538663631913077, -4.114307154731066, -3.6970089097106467, -3.2865379369235415, -2.8826744304471257, -2.4852090314602053, -2.0939421765282313, -1.7086834958894437, -1.3292512572769999, -0.9554718511489688, -0.5871793137152751, -0.22421488446800392, 0.13357340473564433, 0.48633111170405763, 0.8341977394507037, 1.177307067424456, 1.515787460394455, 1.8497621567729383, 2.1793495379986823, 2.5046633804614125, 2.82581309129636, 3.1429039292703846, 3.456037211896857, 3.765310509781094, 4.070817829123122, 4.372649783249865, 4.670893753951736, 4.965634043346663, 5.256952016909033, 5.544926238314951, 5.829632596595089, 6.111144426223088, 6.389532620476846, 6.664865738593644, 6.9372101071266385, 7.206629915863896, 7.473187308621153, 7.73694246928, 7.997953703343554, 8.256277515327586, 8.511968682150146, 8.765080322860738, 9.015663964869667, 9.263769606912087]) data_18 = np.reshape(data_18, (1, data_18.shape[0])) data_19 = np.array([-81.30143666877629, -73.51981123390492, -67.58894004643618, -62.79546377312594, -58.77255028609312, -55.306430325842285, -52.26154970168583, -49.546527286135536, -47.096828993896274, -44.86518294737262, -42.81592373654297, -40.92147861409316, -39.160090368799736, -37.51428875396184, -35.96983331514433, -34.51496325552323, -33.13985317911433, -31.836210421402942, -30.59697194377966, -29.41607263757432, -28.28826575397067, -27.208981991673422, -26.174217666336844, -25.180445043912826, -24.224539767369446, -23.30372160935736, -22.415505718377048, -21.55766220437363, -20.728182408322056, -19.925250571745746, -19.14721990075246, -18.392592231381087, -17.660000664710132, -16.94819466635816, -16.256027221792305, -15.58244371664937, -14.926472271098968, -14.287215305820496, -13.663842156099985, -13.05558258153167, -12.461721043922308, -11.881591646969804, -11.314573647825226, -10.760087464796625, -10.217591116757923, -9.686577039384673, -9.166569231399862, -8.657120690687657, -8.157811105423715, -7.6682447706192445, -7.188048704071618, -6.716870939185014, -6.254378975226421, -5.800258367835567, -5.354211444820795, -4.9159561341688915, -4.485224892658339, -4.061763724855285, -3.6453312836225757, -3.2356980439555367, -2.8326455432915743, -2.435965681805107, -2.045460077198977, -1.6609394689299681, -1.2822231674146611, -0.9091385441754863, -0.541520559356804, -0.17921132335150877, 0.177940310365061, 0.5300791238264208, 0.8773438869634704, 1.2198676859343964, 1.557778229351966, 1.8911981341442035, 2.2202451926859714, 2.545032622633115, 2.8656693007813385, 3.1822599821947146, 3.49490550564412, 3.8037029864313823, 4.108745997484354, 4.410124739573787, 4.707926201405127, 5.00223431037435, 5.293130074510425, 5.580691716353152, 5.864994799197597, 6.146112346304187, 6.424114953444573, 6.699070895350488, 6.971046226340857, 7.240104875595417, 7.506308737324954, 7.769717756230097, 8.030390008565366, 8.288381778953365, 8.543747633319477, 8.796540488228667, 9.046811676615397, 9.294611010411476]) data_19 = np.reshape(data_19, (1, data_19.shape[0])) data_20 = np.array([-80.18616512324756, -72.69713167596393, -66.9372286362957, -62.25588429757933, -58.31217996426342, -54.90499010409803, -51.90566460569442, -49.226911771572176, -46.80677398773253, -44.59968334182487, -42.571146394040085, -40.694422959494965, -38.94836355454164, -37.31595192189148, -35.78329358154169, -34.33889601650266, -32.97314506679706, -31.677916655984244, -30.44628393169545, -29.27229299711588, -28.150788814958986, -27.077278389550365, -26.04782204085272, -25.058946120784785, -24.10757228934766, -23.190959718001604, -22.30665748432924, -21.452465075012103, -20.626399394121275, -19.826667031968803, -19.0516408190757, -18.299839894341574, -17.569912673502124, -16.860622226323265, -16.170833664229793, -15.499503216008943, -14.845668727530763, -14.208441367958994, -13.586998363724325, -12.980576610582407, -12.388467039790742, -11.81000963380661, -11.244589003851045, -10.691630454813943, -10.150596474559634, -9.620983593923064, -9.102319571211877, -8.594160861924848, -8.096090339737621, -7.607715239223983, -7.128665295059333, -6.658591055613759, -6.197162351582722, -5.744066902927773, -5.299009049401345, -4.8617085917503, -4.43189973210564, -4.009330103694082, -3.5937598808867137, -3.184960961759366, -2.7827162161767367, -2.3868187932296907, -1.9970714824593134, -1.6132861239386007, -1.2352830628049976, -0.8628906442684673, -0.4959447455609305, -0.13428834161774914, 0.2222288983799772, 0.5737509861938779, 0.9204159637995737, 1.2623562288501582, 1.5996988382612498, 1.9325657916536574, 2.261074296236772, 2.585337014585185, 2.9054622965870713, 3.221554396799089, 3.5337136782617784, 3.8420368038106987, 4.146616915764681, 4.4475438048145515, 4.744904068964963, 5.038781263079005, 5.329256039851981, 5.616406282659175, 5.90030723092305, 6.1810315984191035, 6.458649685111632, 6.73322948278144, 7.004836775013249, 7.273535231768653, 7.53938649899603, 7.802450283508166, 8.06278443345986, 8.320445014745927, 8.57548638340308, 8.82796125451396, 9.077920767515655, 9.325414548475985]) data_20 = np.reshape(data_20, (1, data_20.shape[0])) data_21 = np.array([-79.11836658831197, -71.90057338915594, -66.30201803475484, -61.727665238087354, -57.860105056088095, -54.50987203906052, -51.55475708702588, -48.91131668465519, -46.52003396848468, -44.33696388794061, -42.32873408705916, -40.4694037059372, -38.73840853353113, -37.119170688899395, -35.59813053743837, -34.164055736859, -32.807537346110266, -31.520615334475163, -30.29649555486, -29.12933261833011, -28.01406107279822, -26.946262537805865, -25.922059980059935, -24.938032736888374, -23.991147585792863, -23.07870235579858, -22.19827943849652, -21.347707183389407, -20.52502762550952, -19.728469338729894, -18.956424467262334, -18.207429187309934, -17.480147001388417, -16.773354386718903, -16.085928410287888, -15.416835995930949, -14.765124585823596, -14.129913984311921, -13.510389209259037, -12.905794204714073, -12.315426293591814, -11.738631268180844, -11.174799032302447, -10.623359722632163, -10.083780247071754, -9.555561187641517, -9.038234022708414, -8.531358629899984, -8.034521036219461, -7.547331386740544, -7.06942210674306, -6.600446235630054, -6.140075913766622, -5.688001005635787, -5.24392784485531, -4.807578088348108, -4.378687668475528, -3.957005833227426, -3.5422942657222247, -3.134326275360371, -2.732886053628665, -2.337767988561728, -1.9487760323294838, -1.565723117096637, -1.1884306148383803, -0.8167278371416486, -0.4504515715454046, -0.08944565122552109, 0.2664394447894944, 0.6173469634454004, 0.96341422384532, 1.3047729398751795, 1.6415495211846416, 1.9738653542225042, 2.301837064902656, 2.625576764343779, 2.945192278914242, 3.260787365847507, 3.5724619154538897, 3.880312140900118, 4.184430756523138, 4.48490714544788, 4.7818275172720135, 5.075275056558951, 5.3653300627350635, 5.652070081978352, 5.935570031663256, 6.215902317856794, 6.493136946344602, 6.7673416275328675, 7.038581875724758, 7.306921103093621, 7.572420708631871, 7.835140162523647, 8.095137086035164, 8.352467327444213, 8.607185033987372, 8.859342720264069, 9.108991333223189, 9.35618031394396]) data_21 = np.reshape(data_21, (1, data_21.shape[0])) data_22 = np.array([-78.09416403056701, -71.12852851768808, -65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595, 9.140023469021038, 9.386908399347064]) data_22 = np.reshape(data_22, (1, data_22.shape[0])) data_23 = np.array([-77.11013678739499, -70.37953323777744, -65.07789825515522, -60.703462680351485, -56.97968213882281, -53.73782716759499, -50.86733111062007, -48.29179190958785, -45.95620173262307, -43.81963672302664, -41.85082480706658, -40.02533054515407, -38.32369696604857, -36.73017873265576, -35.231854271849095, -33.817988476481005, -32.47956563543057, -31.208940784875278, -29.999575183036146, -28.845832668668677, -27.742820824603967, -26.686265614275907, -25.672411367100572, -24.69794020045315, -23.759906514819146, -22.855683299829916, -21.982917784890674, -21.13949454779567, -20.32350462564499, -19.53321949266058, -18.767069013017338, -18.0236226612302, -17.301573446137937, -16.59972408408499, -15.91697505401298, -15.252314235297522, -14.604807883190347, -13.973592739706149, -13.35786911284564, -12.756894784920192, -12.1699796335365, -11.596480867554462, -11.03579879534804, -10.487373055866925, -9.950679252708067, -9.425225940794506, -8.910551922229255, -8.40622381391532, -7.911833854848678, -7.426997925395408, -6.95135375428648, -6.484559292436984, -6.026291235320773, -5.576243677888709, -5.13412688800598, -4.699666186091338, -4.27260092016126, -3.8526835265997055, -3.439678668300962, -3.033362442549777, -2.6335216520887994, -2.2399531333015266, -1.8524631363377397, -1.4708667523298864, -1.094987383563489, -0.7246562527309871, -0.3597119478811818, -8e-323, 0.3546275095585562, 0.7043123142792782, 1.0491903025904856, 1.3893918349123076, 1.7250420394849975, 2.0562610886868424, 2.38316445733086, 2.7058631643594713, 3.024463999188179, 3.3390697338662076, 3.649779322081853, 3.956688086017451, 4.259887891883186, 4.559467315017958, 4.855511795179433, 5.1481037828642116, 5.437322877114627, 5.7232459555121835, 6.005947296867183, 6.285498697007687, 6.561969578256842, 6.835427092911477, 7.105936221129542, 7.373559863634523, 7.638358929487921, 7.900392419311649, 8.159717504176724, 8.416389600488062, 8.670462441039813, 8.921988142560174, 9.171017269865834, 9.41759889686404]) data_23 = np.reshape(data_23, (1, data_23.shape[0])) data_24 = np.array([-76.16325163630101, -69.65225105190164, -64.48753034409458, -60.206625086705806, -56.55079171897674, -53.360534665320735, -50.53055452928068, -47.98767329394963, -45.67896710414232, -43.56491901647111, -41.615241117541146, -39.80620706852079, -38.118883758466026, -36.53792125091425, -35.05070201485628, -33.64672857196108, -32.31717362126786, -31.054543506245167, -29.852422394090663, -28.705274997978044, -27.608292466919394, -26.55727058156438, -25.548512455578223, -24.578750054234952, -23.645080325385234, -22.74491279497351, -21.87592624280514, -21.03603263378598, -20.223346893443736, -19.436161427351976, -18.672924517580338, -17.93222190951847, -17.21276103978848, -16.51335746319109, -15.832923120814288, -15.17045615747332, -14.525032049377408, -13.895795844512882, -13.281955352674677, -12.682775148750075, -12.09757127565642, -11.525706550954677, -10.966586396711923, -10.419655123813195, -9.884392612840326, -9.360311341588506, -8.846953716829612, -8.343889673533692, -7.8507145101340585, -7.367046932485959, -6.892527282793711, -6.426815933006803, -5.969591824531372, -5.520551138716669, -5.079406084205464, -4.645883789086332, -4.219725287112171, -3.8006845886216087, -3.388527827759056, -2.9830324786402085, -2.5839866338352397, -2.191188339340408, -1.8044449808287717, -1.4235727164677978, -1.0483959521698702, -0.6787468554830687, -0.3144649047878734, 0.04460352925047536, 0.3986055726947619, 0.7476822102908283, 1.091968622579683, 1.4315945001951036, 1.7666843371699925, 2.0973577049132075, 2.4237295083589827, 2.745910225688791, 3.06400613282054, 3.3781195138826963, 3.6883488586474007, 3.9947890479236894, 4.297531527744459, 4.596664473195312, 4.892272942554765, 5.184439022516893, 5.473241964992087, 5.758758316146603, 6.04106203821465, 6.320224624478839, 6.596315207979029, 6.869400664241167, 7.139545708535306, 7.406812987911201, 7.671263168429734, 7.932955017779145, 8.191945483682684, 8.448289768282775, 8.702041398755965, 8.953252294389838, 9.201972830362942, 9.448251898348738]) data_24 = np.reshape(data_24, (1, data_24.shape[0])) data_25 = np.array([-75.25080640630922, -68.94545843715301, -63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817, 8.984477536249694, 9.23289024474136, 9.478867495314548]) data_25 = np.reshape(data_25, (1, data_25.shape[0])) data_26 = np.array([-74.37038348895803, -68.25803246075066, -63.346903082754366, -59.24152615719647, -55.71439831618992, -52.6225556220398, -49.8702669855909, -47.39027653321572, -45.133522174766064, -43.063112717246696, -41.150607864956356, -39.37361913503261, -37.71420597578691, -36.157770363155066, -34.692274796309036, -33.307676404160425, -31.99550923333333, -30.748570463006413, -29.56068098370402, -28.42650014550311, -27.341380602869016, -26.301253272382763, -25.302535205019723, -24.342055104440274, -23.416992585474922, -22.52482823816969, -21.66330227033244, -20.830380018452153, -20.024223002252814, -19.243164486487824, -18.48568873371017, -17.750413298029095, -17.0360738405902, -16.34151104756275, -15.665659310664672, -15.007536892832611, -14.36623735097204, -13.740922028081036, -13.130813458275345, -12.535189554973037, -11.953378473040049, -11.3847540532906, -10.82873177190609, -10.284765129033977, -9.752342420661215, -9.230983845977008, -8.72023890912491, -8.21968408028814, -7.72892068555418, -7.24757299912546, -6.77528651527263, -6.311726379846237, -5.85657596408734, -5.409535565573106, -4.970321222819858, -4.538663631913077, -4.114307154731066, -3.6970089097106467, -3.2865379369235415, -2.8826744304471257, -2.4852090314602053, -2.0939421765282313, -1.7086834958894437, -1.3292512572769999, -0.9554718511489688, -0.5871793137152751, -0.22421488446800392, 0.13357340473564433, 0.48633111170405763, 0.8341977394507037, 1.177307067424456, 1.515787460394455, 1.8497621567729383, 2.1793495379986823, 2.5046633804614125, 2.82581309129636, 3.1429039292703846, 3.456037211896857, 3.765310509781094, 4.070817829123122, 4.372649783249865, 4.670893753951736, 4.965634043346663, 5.256952016909033, 5.544926238314951, 5.829632596595089, 6.111144426223088, 6.389532620476846, 6.664865738593644, 6.9372101071266385, 7.206629915863896, 7.473187308621153, 7.73694246928, 7.997953703343554, 8.256277515327586, 8.511968682150146, 8.765080322860738, 9.015663964869667, 9.263769606912087, 9.509445778916692]) data_26 = np.reshape(data_26, (1, data_26.shape[0])) data_27 = np.array([-73.51981123390492, -67.58894004643618, -62.79546377312594, -58.77255028609312, -55.306430325842285, -52.26154970168583, -49.546527286135536, -47.096828993896274, -44.86518294737262, -42.81592373654297, -40.92147861409316, -39.160090368799736, -37.51428875396184, -35.96983331514433, -34.51496325552323, -33.13985317911433, -31.836210421402942, -30.59697194377966, -29.41607263757432, -28.28826575397067, -27.208981991673422, -26.174217666336844, -25.180445043912826, -24.224539767369446, -23.30372160935736, -22.415505718377048, -21.55766220437363, -20.728182408322056, -19.925250571745746, -19.14721990075246, -18.392592231381087, -17.660000664710132, -16.94819466635816, -16.256027221792305, -15.58244371664937, -14.926472271098968, -14.287215305820496, -13.663842156099985, -13.05558258153167, -12.461721043922308, -11.881591646969804, -11.314573647825226, -10.760087464796625, -10.217591116757923, -9.686577039384673, -9.166569231399862, -8.657120690687657, -8.157811105423715, -7.6682447706192445, -7.188048704071618, -6.716870939185014, -6.254378975226421, -5.800258367835567, -5.354211444820795, -4.9159561341688915, -4.485224892658339, -4.061763724855285, -3.6453312836225757, -3.2356980439555367, -2.8326455432915743, -2.435965681805107, -2.045460077198977, -1.6609394689299681, -1.2822231674146611, -0.9091385441754863, -0.541520559356804, -0.17921132335150877, 0.177940310365061, 0.5300791238264208, 0.8773438869634704, 1.2198676859343964, 1.557778229351966, 1.8911981341442035, 2.2202451926859714, 2.545032622633115, 2.8656693007813385, 3.1822599821947146, 3.49490550564412, 3.8037029864313823, 4.108745997484354, 4.410124739573787, 4.707926201405127, 5.00223431037435, 5.293130074510425, 5.580691716353152, 5.864994799197597, 6.146112346304187, 6.424114953444573, 6.699070895350488, 6.971046226340857, 7.240104875595417, 7.506308737324954, 7.769717756230097, 8.030390008565366, 8.288381778953365, 8.543747633319477, 8.796540488228667, 9.046811676615397, 9.294611010411476, 9.539986840018745]) data_27 = np.reshape(data_27, (1, data_27.shape[0])) data_28 = np.array([-72.69713167596393, -66.9372286362957, -62.25588429757933, -58.31217996426342, -54.90499010409803, -51.90566460569442, -49.226911771572176, -46.80677398773253, -44.59968334182487, -42.571146394040085, -40.694422959494965, -38.94836355454164, -37.31595192189148, -35.78329358154169, -34.33889601650266, -32.97314506679706, -31.677916655984244, -30.44628393169545, -29.27229299711588, -28.150788814958986, -27.077278389550365, -26.04782204085272, -25.058946120784785, -24.10757228934766, -23.190959718001604, -22.30665748432924, -21.452465075012103, -20.626399394121275, -19.826667031968803, -19.0516408190757, -18.299839894341574, -17.569912673502124, -16.860622226323265, -16.170833664229793, -15.499503216008943, -14.845668727530763, -14.208441367958994, -13.586998363724325, -12.980576610582407, -12.388467039790742, -11.81000963380661, -11.244589003851045, -10.691630454813943, -10.150596474559634, -9.620983593923064, -9.102319571211877, -8.594160861924848, -8.096090339737621, -7.607715239223983, -7.128665295059333, -6.658591055613759, -6.197162351582722, -5.744066902927773, -5.299009049401345, -4.8617085917503, -4.43189973210564, -4.009330103694082, -3.5937598808867137, -3.184960961759366, -2.7827162161767367, -2.3868187932296907, -1.9970714824593134, -1.6132861239386007, -1.2352830628049976, -0.8628906442684673, -0.4959447455609305, -0.13428834161774914, 0.2222288983799772, 0.5737509861938779, 0.9204159637995737, 1.2623562288501582, 1.5996988382612498, 1.9325657916536574, 2.261074296236772, 2.585337014585185, 2.9054622965870713, 3.221554396799089, 3.5337136782617784, 3.8420368038106987, 4.146616915764681, 4.4475438048145515, 4.744904068964963, 5.038781263079005, 5.329256039851981, 5.616406282659175, 5.90030723092305, 6.1810315984191035, 6.458649685111632, 6.73322948278144, 7.004836775013249, 7.273535231768653, 7.53938649899603, 7.802450283508166, 8.06278443345986, 8.320445014745927, 8.57548638340308, 8.82796125451396, 9.077920767515655, 9.325414548475985, 9.570490769118123]) data_28 = np.reshape(data_28, (1, data_28.shape[0])) data_29 = np.array([-71.90057338915594, -66.30201803475484, -61.727665238087354, -57.860105056088095, -54.50987203906052, -51.55475708702588, -48.91131668465519, -46.52003396848468, -44.33696388794061, -42.32873408705916, -40.4694037059372, -38.73840853353113, -37.119170688899395, -35.59813053743837, -34.164055736859, -32.807537346110266, -31.520615334475163, -30.29649555486, -29.12933261833011, -28.01406107279822, -26.946262537805865, -25.922059980059935, -24.938032736888374, -23.991147585792863, -23.07870235579858, -22.19827943849652, -21.347707183389407, -20.52502762550952, -19.728469338729894, -18.956424467262334, -18.207429187309934, -17.480147001388417, -16.773354386718903, -16.085928410287888, -15.416835995930949, -14.765124585823596, -14.129913984311921, -13.510389209259037, -12.905794204714073, -12.315426293591814, -11.738631268180844, -11.174799032302447, -10.623359722632163, -10.083780247071754, -9.555561187641517, -9.038234022708414, -8.531358629899984, -8.034521036219461, -7.547331386740544, -7.06942210674306, -6.600446235630054, -6.140075913766622, -5.688001005635787, -5.24392784485531, -4.807578088348108, -4.378687668475528, -3.957005833227426, -3.5422942657222247, -3.134326275360371, -2.732886053628665, -2.337767988561728, -1.9487760323294838, -1.565723117096637, -1.1884306148383803, -0.8167278371416486, -0.4504515715454046, -0.08944565122552109, 0.2664394447894944, 0.6173469634454004, 0.96341422384532, 1.3047729398751795, 1.6415495211846416, 1.9738653542225042, 2.301837064902656, 2.625576764343779, 2.945192278914242, 3.260787365847507, 3.5724619154538897, 3.880312140900118, 4.184430756523138, 4.48490714544788, 4.7818275172720135, 5.075275056558951, 5.3653300627350635, 5.652070081978352, 5.935570031663256, 6.215902317856794, 6.493136946344602, 6.7673416275328675, 7.038581875724758, 7.306921103093621, 7.572420708631871, 7.835140162523647, 8.095137086035164, 8.352467327444213, 8.607185033987372, 8.859342720264069, 9.108991333223189, 9.35618031394396, 9.600957656402079]) data_29 = np.reshape(data_29, (1, data_29.shape[0])) data_30 = np.array([-71.12852851768808, -65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595, 9.140023469021038, 9.386908399347064, 9.631387591732436]) data_30 = np.reshape(data_30, (1, data_30.shape[0])) data_31 = np.array([-71.12852851768808, -65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595, 9.140023469021038, 9.386908399347064, 9.631387591732436]) data_31 = np.reshape(data_31, (1, data_31.shape[0])) data_32 = np.array([-69.65225105190164, -64.48753034409458, -60.206625086705806, -56.55079171897674, -53.360534665320735, -50.53055452928068, -47.98767329394963, -45.67896710414232, -43.56491901647111, -41.615241117541146, -39.80620706852079, -38.118883758466026, -36.53792125091425, -35.05070201485628, -33.64672857196108, -32.31717362126786, -31.054543506245167, -29.852422394090663, -28.705274997978044, -27.608292466919394, -26.55727058156438, -25.548512455578223, -24.578750054234952, -23.645080325385234, -22.74491279497351, -21.87592624280514, -21.03603263378598, -20.223346893443736, -19.436161427351976, -18.672924517580338, -17.93222190951847, -17.21276103978848, -16.51335746319109, -15.832923120814288, -15.17045615747332, -14.525032049377408, -13.895795844512882, -13.281955352674677, -12.682775148750075, -12.09757127565642, -11.525706550954677, -10.966586396711923, -10.419655123813195, -9.884392612840326, -9.360311341588506, -8.846953716829612, -8.343889673533692, -7.8507145101340585, -7.367046932485959, -6.892527282793711, -6.426815933006803, -5.969591824531372, -5.520551138716669, -5.079406084205464, -4.645883789086332, -4.219725287112171, -3.8006845886216087, -3.388527827759056, -2.9830324786402085, -2.5839866338352397, -2.191188339340408, -1.8044449808287717, -1.4235727164677978, -1.0483959521698702, -0.6787468554830687, -0.3144649047878734, 0.04460352925047536, 0.3986055726947619, 0.7476822102908283, 1.091968622579683, 1.4315945001951036, 1.7666843371699925, 2.0973577049132075, 2.4237295083589827, 2.745910225688791, 3.06400613282054, 3.3781195138826963, 3.6883488586474007, 3.9947890479236894, 4.297531527744459, 4.596664473195312, 4.892272942554765, 5.184439022516893, 5.473241964992087, 5.758758316146603, 6.04106203821465, 6.320224624478839, 6.596315207979029, 6.869400664241167, 7.139545708535306, 7.406812987911201, 7.671263168429734, 7.932955017779145, 8.191945483682684, 8.448289768282775, 8.702041398755965, 8.953252294389838, 9.201972830362942, 9.448251898348738, 9.69213696425811]) data_32 = np.reshape(data_32, (1, data_32.shape[0])) data_33 = np.array([-68.94545843715301, -63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817, 8.984477536249694, 9.23289024474136, 9.478867495314548, 9.722456579534674]) data_33 = np.reshape(data_33, (1, data_33.shape[0])) data_34 = np.array([-68.25803246075066, -63.346903082754366, -59.24152615719647, -55.71439831618992, -52.6225556220398, -49.8702669855909, -47.39027653321572, -45.133522174766064, -43.063112717246696, -41.150607864956356, -39.37361913503261, -37.71420597578691, -36.157770363155066, -34.692274796309036, -33.307676404160425, -31.99550923333333, -30.748570463006413, -29.56068098370402, -28.42650014550311, -27.341380602869016, -26.301253272382763, -25.302535205019723, -24.342055104440274, -23.416992585474922, -22.52482823816969, -21.66330227033244, -20.830380018452153, -20.024223002252814, -19.243164486487824, -18.48568873371017, -17.750413298029095, -17.0360738405902, -16.34151104756275, -15.665659310664672, -15.007536892832611, -14.36623735097204, -13.740922028081036, -13.130813458275345, -12.535189554973037, -11.953378473040049, -11.3847540532906, -10.82873177190609, -10.284765129033977, -9.752342420661215, -9.230983845977008, -8.72023890912491, -8.21968408028814, -7.72892068555418, -7.24757299912546, -6.77528651527263, -6.311726379846237, -5.85657596408734, -5.409535565573106, -4.970321222819858, -4.538663631913077, -4.114307154731066, -3.6970089097106467, -3.2865379369235415, -2.8826744304471257, -2.4852090314602053, -2.0939421765282313, -1.7086834958894437, -1.3292512572769999, -0.9554718511489688, -0.5871793137152751, -0.22421488446800392, 0.13357340473564433, 0.48633111170405763, 0.8341977394507037, 1.177307067424456, 1.515787460394455, 1.8497621567729383, 2.1793495379986823, 2.5046633804614125, 2.82581309129636, 3.1429039292703846, 3.456037211896857, 3.765310509781094, 4.070817829123122, 4.372649783249865, 4.670893753951736, 4.965634043346663, 5.256952016909033, 5.544926238314951, 5.829632596595089, 6.111144426223088, 6.389532620476846, 6.664865738593644, 6.9372101071266385, 7.206629915863896, 7.473187308621153, 7.73694246928, 7.997953703343554, 8.256277515327586, 8.511968682150146, 8.765080322860738, 9.015663964869667, 9.263769606912087, 9.509445778916692, 9.752739599025343]) data_34 = np.reshape(data_34, (1, data_34.shape[0])) data_35 = np.array([-67.58894004643618, -62.79546377312594, -58.77255028609312, -55.306430325842285, -52.26154970168583, -49.546527286135536, -47.096828993896274, -44.86518294737262, -42.81592373654297, -40.92147861409316, -39.160090368799736, -37.51428875396184, -35.96983331514433, -34.51496325552323, -33.13985317911433, -31.836210421402942, -30.59697194377966, -29.41607263757432, -28.28826575397067, -27.208981991673422, -26.174217666336844, -25.180445043912826, -24.224539767369446, -23.30372160935736, -22.415505718377048, -21.55766220437363, -20.728182408322056, -19.925250571745746, -19.14721990075246, -18.392592231381087, -17.660000664710132, -16.94819466635816, -16.256027221792305, -15.58244371664937, -14.926472271098968, -14.287215305820496, -13.663842156099985, -13.05558258153167, -12.461721043922308, -11.881591646969804, -11.314573647825226, -10.760087464796625, -10.217591116757923, -9.686577039384673, -9.166569231399862, -8.657120690687657, -8.157811105423715, -7.6682447706192445, -7.188048704071618, -6.716870939185014, -6.254378975226421, -5.800258367835567, -5.354211444820795, -4.9159561341688915, -4.485224892658339, -4.061763724855285, -3.6453312836225757, -3.2356980439555367, -2.8326455432915743, -2.435965681805107, -2.045460077198977, -1.6609394689299681, -1.2822231674146611, -0.9091385441754863, -0.541520559356804, -0.17921132335150877, 0.177940310365061, 0.5300791238264208, 0.8773438869634704, 1.2198676859343964, 1.557778229351966, 1.8911981341442035, 2.2202451926859714, 2.545032622633115, 2.8656693007813385, 3.1822599821947146, 3.49490550564412, 3.8037029864313823, 4.108745997484354, 4.410124739573787, 4.707926201405127, 5.00223431037435, 5.293130074510425, 5.580691716353152, 5.864994799197597, 6.146112346304187, 6.424114953444573, 6.699070895350488, 6.971046226340857, 7.240104875595417, 7.506308737324954, 7.769717756230097, 8.030390008565366, 8.288381778953365, 8.543747633319477, 8.796540488228667, 9.046811676615397, 9.294611010411476, 9.539986840018745, 9.782986110941723]) data_35 = np.reshape(data_35, (1, data_35.shape[0])) data_36 = np.array([-66.9372286362957, -62.25588429757933, -58.31217996426342, -54.90499010409803, -51.90566460569442, -49.226911771572176, -46.80677398773253, -44.59968334182487, -42.571146394040085, -40.694422959494965, -38.94836355454164, -37.31595192189148, -35.78329358154169, -34.33889601650266, -32.97314506679706, -31.677916655984244, -30.44628393169545, -29.27229299711588, -28.150788814958986, -27.077278389550365, -26.04782204085272, -25.058946120784785, -24.10757228934766, -23.190959718001604, -22.30665748432924, -21.452465075012103, -20.626399394121275, -19.826667031968803, -19.0516408190757, -18.299839894341574, -17.569912673502124, -16.860622226323265, -16.170833664229793, -15.499503216008943, -14.845668727530763, -14.208441367958994, -13.586998363724325, -12.980576610582407, -12.388467039790742, -11.81000963380661, -11.244589003851045, -10.691630454813943, -10.150596474559634, -9.620983593923064, -9.102319571211877, -8.594160861924848, -8.096090339737621, -7.607715239223983, -7.128665295059333, -6.658591055613759, -6.197162351582722, -5.744066902927773, -5.299009049401345, -4.8617085917503, -4.43189973210564, -4.009330103694082, -3.5937598808867137, -3.184960961759366, -2.7827162161767367, -2.3868187932296907, -1.9970714824593134, -1.6132861239386007, -1.2352830628049976, -0.8628906442684673, -0.4959447455609305, -0.13428834161774914, 0.2222288983799772, 0.5737509861938779, 0.9204159637995737, 1.2623562288501582, 1.5996988382612498, 1.9325657916536574, 2.261074296236772, 2.585337014585185, 2.9054622965870713, 3.221554396799089, 3.5337136782617784, 3.8420368038106987, 4.146616915764681, 4.4475438048145515, 4.744904068964963, 5.038781263079005, 5.329256039851981, 5.616406282659175, 5.90030723092305, 6.1810315984191035, 6.458649685111632, 6.73322948278144, 7.004836775013249, 7.273535231768653, 7.53938649899603, 7.802450283508166, 8.06278443345986, 8.320445014745927, 8.57548638340308, 8.82796125451396, 9.077920767515655, 9.325414548475985, 9.570490769118123, 9.81319620320427]) data_36 = np.reshape(data_36, (1, data_36.shape[0])) data_37 = np.array([-66.30201803475484, -61.727665238087354, -57.860105056088095, -54.50987203906052, -51.55475708702588, -48.91131668465519, -46.52003396848468, -44.33696388794061, -42.32873408705916, -40.4694037059372, -38.73840853353113, -37.119170688899395, -35.59813053743837, -34.164055736859, -32.807537346110266, -31.520615334475163, -30.29649555486, -29.12933261833011, -28.01406107279822, -26.946262537805865, -25.922059980059935, -24.938032736888374, -23.991147585792863, -23.07870235579858, -22.19827943849652, -21.347707183389407, -20.52502762550952, -19.728469338729894, -18.956424467262334, -18.207429187309934, -17.480147001388417, -16.773354386718903, -16.085928410287888, -15.416835995930949, -14.765124585823596, -14.129913984311921, -13.510389209259037, -12.905794204714073, -12.315426293591814, -11.738631268180844, -11.174799032302447, -10.623359722632163, -10.083780247071754, -9.555561187641517, -9.038234022708414, -8.531358629899984, -8.034521036219461, -7.547331386740544, -7.06942210674306, -6.600446235630054, -6.140075913766622, -5.688001005635787, -5.24392784485531, -4.807578088348108, -4.378687668475528, -3.957005833227426, -3.5422942657222247, -3.134326275360371, -2.732886053628665, -2.337767988561728, -1.9487760323294838, -1.565723117096637, -1.1884306148383803, -0.8167278371416486, -0.4504515715454046, -0.08944565122552109, 0.2664394447894944, 0.6173469634454004, 0.96341422384532, 1.3047729398751795, 1.6415495211846416, 1.9738653542225042, 2.301837064902656, 2.625576764343779, 2.945192278914242, 3.260787365847507, 3.5724619154538897, 3.880312140900118, 4.184430756523138, 4.48490714544788, 4.7818275172720135, 5.075275056558951, 5.3653300627350635, 5.652070081978352, 5.935570031663256, 6.215902317856794, 6.493136946344602, 6.7673416275328675, 7.038581875724758, 7.306921103093621, 7.572420708631871, 7.835140162523647, 8.095137086035164, 8.352467327444213, 8.607185033987372, 8.859342720264069, 9.108991333223189, 9.35618031394396, 9.600957656402079, 9.843369963411915]) data_37 = np.reshape(data_37, (1, data_37.shape[0])) data_38 = np.array([-65.68249325972127, -61.21033807316015, -57.416031895353434, -54.120880082799886, -51.20868982663006, -48.59964213499398, -46.23653401879284, -44.07696696442767, -42.08864155062336, -40.24638465000139, -38.53019589794045, -36.923920842820884, -35.41432401139285, -33.99042543423185, -32.64301558546023, -31.36429408985034, -30.147596135069406, -28.987182217724428, -27.878074406030624, -26.815927290942035, -25.79692516406306, -24.817699275559267, -23.87526064260291, -22.96694502804889, -22.09036753624861, -21.243384876754977, -20.424063792699105, -19.63065448345461, -18.86156810249345, -18.115357602888302, -17.390701350160693, -16.68638903588076, -16.00130951525258, -15.334440261473814, -14.684838185790458, -14.051631616294502, -13.434013264138454, -12.831234035140652, -12.242597567290543, -11.667455394637525, -11.105202653153862, -10.555274257254656, -10.017141486519627, -9.490308930837463, -8.974311749676891, -8.468713207604681, -7.973102453288945, -7.487092513639189, -7.010318478479877, -6.542435854653029, -6.0831190707009375, -5.632060116027622, -5.188967300214292, -4.753564120022945, -4.3255882230585065, -3.9047904582997237, -3.4909340050123343, -3.083793572282679, -2.6831546625271794, -2.288812892845667, -1.900573368904116, -1.5182501065361869, -1.1416654967399449, -0.770649810241299, -0.40504073816135466, -0.04468296567575255, 0.3105722241469251, 0.6608673188424039, 1.006338919680034, 1.3471180614804232, 1.6833305110167494, 2.0150970456621433, 2.342533713883719, 2.665752078924568, 2.9848594470096064, 3.2999590812149484, 3.6111504020660843, 3.9185291758522314, 4.22218769155762, 4.522214927185723, 4.818696706264547, 5.111715845239804, 5.401352292320732, 5.687683258425855, 5.9707833407324955, 6.250724639333823, 6.527576867461938, 6.801407455700211, 7.072281650559251, 7.340262607788385, 7.605411480770529, 7.867787504275347, 8.127448073881258, 8.384448821385906, 8.63884368625992, 8.890684983665595, 9.140023469021038, 9.386908399347064, 9.631387591732436, 9.873507478863733]) data_38 = np.reshape(data_38, (1, data_38.shape[0])) data_39 = np.array([-65.07789825515522, -60.703462680351485, -56.97968213882281, -53.73782716759499, -50.86733111062007, -48.29179190958785, -45.95620173262307, -43.81963672302664, -41.85082480706658, -40.02533054515407, -38.32369696604857, -36.73017873265576, -35.231854271849095, -33.817988476481005, -32.47956563543057, -31.208940784875278, -29.999575183036146, -28.845832668668677, -27.742820824603967, -26.686265614275907, -25.672411367100572, -24.69794020045315, -23.759906514819146, -22.855683299829916, -21.982917784890674, -21.13949454779567, -20.32350462564499, -19.53321949266058, -18.767069013017338, -18.0236226612302, -17.301573446137937, -16.59972408408499, -15.91697505401298, -15.252314235297522, -14.604807883190347, -13.973592739706149, -13.35786911284564, -12.756894784920192, -12.1699796335365, -11.596480867554462, -11.03579879534804, -10.487373055866925, -9.950679252708067, -9.425225940794506, -8.910551922229255, -8.40622381391532, -7.911833854848678, -7.426997925395408, -6.95135375428648, -6.484559292436984, -6.026291235320773, -5.576243677888709, -5.13412688800598, -4.699666186091338, -4.27260092016126, -3.8526835265997055, -3.439678668300962, -3.033362442549777, -2.6335216520887994, -2.2399531333015266, -1.8524631363377397, -1.4708667523298864, -1.094987383563489, -0.7246562527309871, -0.3597119478811818, -8e-323, 0.3546275095585562, 0.7043123142792782, 1.0491903025904856, 1.3893918349123076, 1.7250420394849975, 2.0562610886868424, 2.38316445733086, 2.7058631643594713, 3.024463999188179, 3.3390697338662076, 3.649779322081853, 3.956688086017451, 4.259887891883186, 4.559467315017958, 4.855511795179433, 5.1481037828642116, 5.437322877114627, 5.7232459555121835, 6.005947296867183, 6.285498697007687, 6.561969578256842, 6.835427092911477, 7.105936221129542, 7.373559863634523, 7.638358929487921, 7.900392419311649, 8.159717504176724, 8.416389600488062, 8.670462441039813, 8.921988142560174, 9.171017269865834, 9.41759889686404, 9.661780664609582, 9.90360883652427]) data_39 = np.reshape(data_39, (1, data_39.shape[0])) data_40 = np.array([-64.48753034409458, -60.206625086705806, -56.55079171897674, -53.360534665320735, -50.53055452928068, -47.98767329394963, -45.67896710414232, -43.56491901647111, -41.615241117541146, -39.80620706852079, -38.118883758466026, -36.53792125091425, -35.05070201485628, -33.64672857196108, -32.31717362126786, -31.054543506245167, -29.852422394090663, -28.705274997978044, -27.608292466919394, -26.55727058156438, -25.548512455578223, -24.578750054234952, -23.645080325385234, -22.74491279497351, -21.87592624280514, -21.03603263378598, -20.223346893443736, -19.436161427351976, -18.672924517580338, -17.93222190951847, -17.21276103978848, -16.51335746319109, -15.832923120814288, -15.17045615747332, -14.525032049377408, -13.895795844512882, -13.281955352674677, -12.682775148750075, -12.09757127565642, -11.525706550954677, -10.966586396711923, -10.419655123813195, -9.884392612840326, -9.360311341588506, -8.846953716829612, -8.343889673533692, -7.8507145101340585, -7.367046932485959, -6.892527282793711, -6.426815933006803, -5.969591824531372, -5.520551138716669, -5.079406084205464, -4.645883789086332, -4.219725287112171, -3.8006845886216087, -3.388527827759056, -2.9830324786402085, -2.5839866338352397, -2.191188339340408, -1.8044449808287717, -1.4235727164677978, -1.0483959521698702, -0.6787468554830687, -0.3144649047878734, 0.04460352925047536, 0.3986055726947619, 0.7476822102908283, 1.091968622579683, 1.4315945001951036, 1.7666843371699925, 2.0973577049132075, 2.4237295083589827, 2.745910225688791, 3.06400613282054, 3.3781195138826963, 3.6883488586474007, 3.9947890479236894, 4.297531527744459, 4.596664473195312, 4.892272942554765, 5.184439022516893, 5.473241964992087, 5.758758316146603, 6.04106203821465, 6.320224624478839, 6.596315207979029, 6.869400664241167, 7.139545708535306, 7.406812987911201, 7.671263168429734, 7.932955017779145, 8.191945483682684, 8.448289768282775, 8.702041398755965, 8.953252294389838, 9.201972830362942, 9.448251898348738, 9.69213696425811, 9.933674123043563]) data_40 = np.reshape(data_40, (1, data_40.shape[0])) data_41 = np.array([-63.910735318666404, -59.719435437194456, -56.12910988368529, -52.988831887629374, -50.198238696227584, -47.68719690502624, -45.40476242292407, -43.3127613301936, -41.38184893596217, -39.58898078868387, -37.91572897566998, -36.34712581743123, -34.87084835153414, -33.476629760456895, -32.15582593597418, -30.90109055942565, -29.706127643742555, -28.56550038245245, -27.47448159722701, -26.428935372861428, -25.425222386373253, -24.46012345689816, -23.530777263921518, -22.634629195016956, -21.769389018638716, -20.93299561587702, -20.12358740379266, -19.339477382484127, -18.579131965000617, -17.841152921710375, -17.124261905376745, -16.427287126310112, -15.749151828975075, -15.088864285261225, -14.445509071244953, -13.818239434701226, -13.206270593630295, -12.608873832889657, -12.025371287424246, -11.455131318499712, -10.897564403808156, -10.352119474437547, -9.818280641520703, -9.295564264117756, -8.783516316173266, -8.281710016941584, -7.7897436937496565, -7.307238850303566, -6.8338384172210995, -6.369205164653484, -5.913020259202737, -5.4649819496737955, -5.024804368219209, -4.5922164347294965, -4.166960854214552, -3.748793197636934, -3.3374810581736525, -2.9328032754857407, -2.534549221592515, -2.142518142514774, -1.7565185506000627, -1.3763676628516237, -1.0018908812173712, -0.6329213110621855, -0.2692993145610021, 0.08912790401522501, 0.4425066838006714, 0.7909772660655643, 1.1346741283715684, 1.4737262961500273, 1.808257633502012, 2.138387114866274, 2.464229079050824, 2.7858934669716087, 3.103486044342034, 3.4171086104560837, 3.726859194062398, 4.032832237313563, 4.335118768624652, 4.633806565238834, 4.928980306228366, 5.220721716614433, 5.50910970318433, 5.794220482609578, 6.07612770233808, 6.354902554807213, 6.630613885356588, 6.903328294284393, 7.173110233397077, 7.440022097455778, 7.704124310780899, 7.965475409369538, 8.224132118753605, 8.480149427923747, 8.733580659465817, 8.984477536249694, 9.23289024474136, 9.478867495314548, 9.722456579534674, 9.96370342475891]) data_41 = np.reshape(data_41, (1, data_41.shape[0])) fullArray = np.concatenate((data_1, data_2, data_3, data_4, data_5, data_6, data_7, data_8, data_9, data_10, data_11, data_12, data_13, data_14, data_15, data_16, data_17, data_18, data_19, data_20, data_21, data_22, data_23, data_24, data_25, data_26, data_27, data_28, data_29, data_30, data_31, data_32, data_33, data_34, data_35, data_36, data_37, data_38, data_39, data_40, data_41), axis=0) #print(fullArray) return fullArray def hh_figtype_1(Vm_resting_list, corresponding_concentration_list): # Takes a list or array of resting membrane potentials from a stable neuronal membrane, along with some ion concentration list as an independent variable and creates a # plot with a base-ten log transformed x axis. logTransformedConcentrations = [] for concentration in corresponding_concentration_list: logTransformedConcentrations.append(math.log(concentration, 10)) plt.close() fig, ax = plt.subplots() fig.patch.set_alpha(0.0) ax.patch.set_alpha(0.0) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) ax.plot(logTransformedConcentrations, Vm_resting_list, linewidth=0.8, color='deeppink') ax.set_ylabel("Membrane potential (mV)") ax.set_xlabel("$log_{10}([K^{+}]_{extracellular})$") plt.show() def hh_figtype_2(Vm_resting_list, corresponding_concentration_list, Vm_0, workingDirectory): # Takes a list or array of resting membrane potentials from a stable neuronal membrane, along with some ion concentration list as an independent variable and creates a # plot with a base-ten log transformed x axis. logTransformedConcentrations = [] for concentration in corresponding_concentration_list: logTransformedConcentrations.append(math.log(concentration, 10)) plt.close() fig, ax = plt.subplots() #fig.patch.set_alpha(0.0) #ax.patch.set_alpha(0.0) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) ax.plot(logTransformedConcentrations, Vm_resting_list, linewidth=0.8, color='deeppink') ax.set_ylabel("Membrane potential (mV)") ax.set_xlabel("$log_{10}([K^{+}]_{extracellular})$") ax.set_title("Initial membrane potential: {}".format(Vm_0)) plt.show() plt.savefig('{}\\HodgkinHuxleyModel\\modelFigures\\Resting_concentration_initialVm{}.png'.format(workingDirectory, int(Vm_0)), bbox_inches='tight') def hh_figtype_3(): recalledData = recallQuestion1Data() logTransformedConcentrations = [] for concentration in list(map(lambda x: x/1.0, range(1, 200, 2))): logTransformedConcentrations.append(math.log(concentration, 10)) plt.close() fig, ax = plt.subplots() fig.patch.set_alpha(0.0) ax.patch.set_alpha(0.0) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) iterable = range(0, recalledData.shape[0], 1) colormap = plt.cm.summer norm = mpl.colors.Normalize(vmin=0, vmax=200) colors = plt.cm.summer(np.linspace(0, 0.75, len(range(0, recalledData.shape[0], 1)))) for sodium_concentration in iterable: ax.plot(logTransformedConcentrations, recalledData[sodium_concentration, :], linewidth=0.9, color=colors[sodium_concentration]) ax.set_ylabel("Membrane potential (mV)") ax.set_xlabel("$log_{10}([K^{+}]_{extracellular})$") fig.colorbar(plt.cm.ScalarMappable(norm=norm, cmap=colormap), cax=None, orientation='vertical', label='$[Na^{+}]_{extracellular}$ (mM)', aspect=25) plt.show() def hh_figtype_4(): data = recallQuestion1Data() logTransformed_K_Concentrations = [] for concentration in list(map(lambda x: x/1.0, range(1, 200, 2))): logTransformed_K_Concentrations.append(math.log(concentration, 10)) plotReady_K_axis = np.reshape(np.array(logTransformed_K_Concentrations), (1, len(logTransformed_K_Concentrations))) print(plotReady_K_axis.shape) logTransformed_Na_Concentrations = [] Na_concentrations = list(map(lambda x: x/1.0, range(0, 205, 5))) plotReady_Na_axis = np.reshape(np.array(Na_concentrations), (len(Na_concentrations), 1)) print(plotReady_Na_axis.shape) plt.close() fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Axes3D object ax.set_xlabel('$log_{10}([K^{+}]_{extracellular})$') ax.set_ylabel('$[Na^{+}]_{extracellular}$(mM)') ax.set_zlabel('Membrane potential (mV)') surface = ax.plot_surface(plotReady_K_axis, plotReady_Na_axis, data, cmap=plt.cm.summer, linewidth=0, antialiased=False) ax.set_yticks([0, 50, 100, 150, 200]) fig.colorbar(surface, label='Membrane potential (mV)', shrink=0.60, aspect=15) plt.show() def hh_figtype_5(timeAxis, voltageTraces, hGateTraces, mGateTraces): fig, axes = plt.subplots(nrows=2, ncols=1, sharex=True) fig.patch.set_alpha(0.0) for ax in axes: ax.patch.set_alpha(0.0) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) iterable = range(0, voltageTraces.shape[0], 1) colormap = plt.cm.summer norm = mpl.colors.Normalize(vmin=1, vmax=13) colors = plt.cm.summer(np.linspace(0, 0.9, len(iterable))) for trace in iterable: axes[0].plot(timeAxis, voltageTraces[trace, :], linewidth=0.8, color=colors[trace], label='Vm{}'.format(trace)) axes[1].plot(timeAxis, hGateTraces[trace, :], linewidth=0.8, color=colors[trace], label='hGate{}'.format(trace), linestyle='dotted') axes[1].plot(timeAxis, mGateTraces[trace, :], linewidth=0.8, color=colors[trace], label='mGate{}'.format(trace), linestyle='dashed') axes[0].set_ylabel("Vm ($mV$)") axes[1].set_xlabel("Time (ms)") plt.show() def hh_figtype_6(): plt.rcParams.update({'font.size': 12}) extracellular_potassium_concentrations = list(map(lambda x: x/1.0, range(1, 21, 2))) median_hGate_active_fractions = [0.869, 0.767, 0.655, 0.542, 0.422, 0.326, 0.231, 0.141, 0.092, 0.079] peak_mGate_active_fractions = [0.995, 0.994, 0.991, 0.991, 0.987, 0.984, 0.943, 0.836, 0.677, 0.485] peak_sodium_currents = [1230.9, 974.5, 844.2, 777.2, 655.0, 614.0, 419.6, 274.8, 166.4, 82.8] stable_Vm = [-70.77, -65.68, -61.81, -58.34, -55.24, -52.03, -48.70] plt.close() fig, axes = plt.subplots(nrows=3, ncols=1, sharex=True) fig.patch.set_alpha(0.0) for i, ax in enumerate(axes, start=0): ax.patch.set_alpha(0.0) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) if i == 0: ax.plot(extracellular_potassium_concentrations[:len(stable_Vm)], stable_Vm, color='deeppink', linewidth=0.8, label='Vm') ax.axvline(x=extracellular_potassium_concentrations[len(stable_Vm) - 1], color='k') ax.text(extracellular_potassium_concentrations[len(stable_Vm) - 1] + 0.1, -70, 'Oscillations', rotation=90, fontsize=22) ax.set_ylabel("Resting Vm ($mV$)") elif i == 1: ax.plot(extracellular_potassium_concentrations, median_hGate_active_fractions, color='gold', linewidth=0.8, label='$h$ (median)') ax.plot(extracellular_potassium_concentrations, peak_mGate_active_fractions, color='red', linewidth=0.8, label='$m$ (maximum)') ax.legend(title='Gate', edgecolor='w', framealpha=0.0, bbox_to_anchor=(1.0, 1), loc='upper left') #ax.axvline(x=extracellular_potassium_concentrations[len(stable_Vm) - 1], color='k') ax.set_ylabel("Active fraction") else: ax.plot(extracellular_potassium_concentrations, peak_sodium_currents, color='orangered', linewidth=0.8, label='max $Na^{+}$ current') #ax.axvline(x=extracellular_potassium_concentrations[len(stable_Vm) - 1], color='k') ax.set_ylabel("$Na^{+}$ Current ($\mu A/cm^{2}$)") ax.set_xlabel("$[K^{+}]_{E}$ $(mM)$") plt.show() def hh_figtype_7(embedVector_1, embedVector_2, embedVector_3): colormap = plt.cm.summer norm = mpl.colors.Normalize(vmin=-100, vmax=60) colors = plt.cm.summer(np.linspace(0, 0.9, len(embedVector_1))) plt.close() fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Axes3D object ax.set_xlabel("0$\mu$") ax.set_ylabel("1$\mu$") ax.set_zlabel("2$\mu$") ax.grid(False) ax.w_xaxis.pane.fill = False ax.w_yaxis.pane.fill = False ax.w_zaxis.pane.fill = False ax.scatter(embedVector_1, embedVector_2, embedVector_3, color=colors, marker='.') ax = plt.gca() fig.set_facecolor('black') ax.set_facecolor('black') ax.xaxis.set_ticklabels([]) ax.yaxis.set_ticklabels([]) ax.zaxis.set_ticklabels([]) for line in ax.xaxis.get_ticklines(): line.set_visible(False) for line in ax.yaxis.get_ticklines(): line.set_visible(False) for line in ax.zaxis.get_ticklines(): line.set_visible(False) plt.show() def main(): hh_figtype_6() if __name__ == '__main__': main()

334.469965

2,036

0.795996

10,127

94,655

7.400711

0.116323

0.003522

0.007112

0.001868

0.934701

0.930844

0.925974

0.925334

0.923466

0.921505

0

0.767703

0.066494

94,655

283

2,037

334.469965

0.080488

0.007195

0

0.259414

0

0.008227

0.002884

0

1

0.037657

false

0

0.020921

0

0.062762

0.008368

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null

0

1

0

1

0

1

0

null

0

10

7ef64e3728f5f0c8aca85346e0af93007c894ac3

240

py

Python

Testes Basicos/format.py

gustavoLuuD/estudos_python

c8d3e97913d8fc2d046c7a1942b24800779438f5

[ "MIT" ]

null

Testes Basicos/format.py

gustavoLuuD/estudos_python

c8d3e97913d8fc2d046c7a1942b24800779438f5

[ "MIT" ]

null

Testes Basicos/format.py

gustavoLuuD/estudos_python

c8d3e97913d8fc2d046c7a1942b24800779438f5

[ "MIT" ]

null

print("{:f}".format(123.5)) # 123.500000 print("{:.2f}".format(123.5)) # 123.50 print("{:7.2f}".format(123.5)) # 123.50 print("{:07.2f}".format(123.5)) # 0123.50 print("{:d}".format(123)) # 0123 print(f"Eu sei contar até {1234}")

40

44

0.575

42

240

3.285714

0.404762

0.326087

0.289855

0.282609

0.318841

0

0.27619

0.125

240

6

45

40

0.380952

0.158333

0

0.269036

0

1

0

true

0

1

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

8

add1bfb790d36509c7d34c46a8a5bb503cd25703

519

py

Python

venv/Lib/site-packages/konlpy/hangul.py

movierecommend-chatbot/chat-bot

fc40c1937e8f597230578c1957305ad22f8280e4

[ "bzip2-1.0.6" ]

null

venv/Lib/site-packages/konlpy/hangul.py

movierecommend-chatbot/chat-bot

fc40c1937e8f597230578c1957305ad22f8280e4

[ "bzip2-1.0.6" ]

null

venv/Lib/site-packages/konlpy/hangul.py

movierecommend-chatbot/chat-bot

fc40c1937e8f597230578c1957305ad22f8280e4

[ "bzip2-1.0.6" ]

null

#! /usr/bin/python # -*- coding: utf-8 -*- def compose_char(char): return NotImplementedError def compose(string): return NotImplementedError def decompose_char(char): return NotImplementedError def decompose(string, aslist=False): l = (decompose_char(c) for c in string) if aslist: return list(l) else: flattened = filter(' ', sum(l, [])) return ''.join(flattened) def to_unicode(): """ TODO NOTE FIXME """ return NotImplementedError

14.828571

43

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57

519

5.578947

0.54386

0.314465

0.264151

0.207547

0.226415

0

0.002604

0.260116

519

34

44

15.264706

0.825521

0.105973

0

0.266667

0

0.002278

0

0.058824

0

1

0.333333

false

0

0.2

0.733333

0

null

1

0

null

0

1

0

1

0

1

0

7

adffcbf2f391b71d8fde39d0d9e499ecc83df09b

2,802

py

Python

tests/utils/test_utils_has_lost.py

battleforcastile/battleforcastile

65223fcb56ecc550f1a7c7b70beadff22c866d85

[ "MIT" ]

null

tests/utils/test_utils_has_lost.py

battleforcastile/battleforcastile

65223fcb56ecc550f1a7c7b70beadff22c866d85

[ "MIT" ]

1

2021-08-21T10:16:03.000Z

tests/utils/test_utils_has_lost.py

battleforcastile/battleforcastile

65223fcb56ecc550f1a7c7b70beadff22c866d85

[ "MIT" ]

null

from battleforcastile.utils.has_lost import has_lost def test_if_has_lost_is_true_when_character_has_lower_value_and_an_empty_hand(): state = { 'hero': { 'value': 10 }, 'board': [[], []], 'enemy': { 'value': 20 } } num_cards_in_hand_hero = 0 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy) is True def test_if_has_lost_is_false_when_character_has_lower_value_but_not_an_empty_hand(): state = { 'hero': { 'value': 10 }, 'board': [[], []], 'enemy': { 'value': 20 } } num_cards_in_hand_hero = 1 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy) is False def test_if_has_lost_is_false_when_character_has_bigger_value_and_an_empty_hand(): state = { 'hero': { 'value': 20 }, 'board': [[], []], 'enemy': { 'value': 10 } } num_cards_in_hand_hero = 0 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy) is False def test_if_has_lost_is_false_when_character_has_bigger_value_and_not_an_empty_hand(): state = { 'hero': { 'value': 20 }, 'board': [[], []], 'enemy': { 'value': 10 } } num_cards_in_hand_hero = 1 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy) is False def test_if_has_lost_is_true_when_character_has_equal_value_an_empty_hand_and_wins_tie_false(): state = { 'hero': { 'value': 20 }, 'board': [[], []], 'enemy': { 'value': 20 } } num_cards_in_hand_hero = 0 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy, wins_tie=False) is True def test_if_has_lost_is_false_when_character_has_equal_value_an_empty_hand_and_wins_tie_true(): state = { 'hero': { 'value': 20 }, 'board': [[], []], 'enemy': { 'value': 20 } } num_cards_in_hand_hero = 0 num_cards_in_hand_enemy = 0 assert has_lost(state['hero']['value'], state['enemy']['value'], num_cards_in_hand_hero, num_cards_in_hand_enemy, wins_tie=True) is False

28.30303

95

0.577802

364

2,802

3.903846

0.104396

0.135116

0.168895

0.236453

0.948628

0.938072

0.933849

0.92822

0

0.018302

0.298001

2,802

98

96

28.591837

0.704118

0

0.670588

0

0.092077

0

0.070588

1

0.070588

false

0

0.011765

0

0.082353

0

null

0

1

0

null

0

7

bc039ad3cf1ece508f29574d0c504b375b924109

17,915

py

Python

bLib/trash.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

7

2020-07-15T08:40:34.000Z

2022-03-02T07:00:02.000Z

bLib/trash.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

2

2020-05-20T01:37:38.000Z

2020-05-20T01:55:35.000Z

bLib/trash.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

2

2020-05-20T01:32:47.000Z

2020-11-25T07:59:24.000Z

self.cur_inp = radamsa.radamsa(testcase.fullpath) while not self.cur_inp: self.cur_inp = radamsa.radamsa(testcase.fullpath) self.logger.info('mutating ' + testcase) r = self.executor.exec_one(self.cur_inp) if r == OK: pass elif r == CRASH: self.logger.info('testcase result in a crash') self._crash_handler() elif r == TIMEOUT: self.logger.info('testcase timeout') self._timeout_handler() elif r == CLIENT_FUCKUP: ''' TODO fix client so we don't have to handle this case anymore\ handle it like timeout for now ''' self.logger.error('client fuckup') self._timeout_handler() ''' for android ''' ''' everything is through rpc, slow but works for non root device ''' if len(inp) < 5: return len_p2 = next_pow2(len(inp)) self.logger.debug('len_p2: %d' % len_p2) ''' the number of bytes we gonna remove ''' remove_len = max(len_p2 / self.TRIM_START_STEPS, self.TRIM_MIN_BYTES) while remove_len >= max(len_p2 / self.TRIM_END_STEPS, self.TRIM_MIN_BYTES): ''' our starting position ''' remove_pos = remove_len self.stage_name = 'trim %d' % remove_len self.stage_cur = 0 self.stage_max = len(inp) / remove_len while remove_pos < len(inp): trim_avail = min(remove_len, len(inp) - remove_pos) class frida_bCov(): def __init__(self, session, log_level=logging.DEBUG): self.session = session self.runtime = 'duk' self.options = None self.crash_cb = None self.covlen = 0 self.logger = logging.getLogger('frida_bCov') self.logger.setLevel(log_level) def set_options(self, options): self.options = options if options: if 'cov_module_names' not in self.options: raise Exception('Missing cov_module_names') def load(self): if not self.options: raise Exception('set bCov.options first') script_path = join(BCOV_SCRIPTDIR, 'cov_event.js') with open(script_path, 'r') as scriptfile: self.script = self.session.create_script(scriptfile.read(), runtime=self.runtime) self.script.on('message', self.on_message) self.script.load() #self.script.exports.init(self.options) self.loaded = True def get_options(self): return self.script.exports.get_options() def get_modules(self): modules = self.script.exports.get_modules() for module in modules: module['base'] = int(module['base'], 16) return modules def get_cov(self): covs = [] for temp in self.script.exports.get_cov(): cov = [] for addr in temp.keys(): cov.append(int(addr)) covs.append(cov) return covs def load_cov(self, covs): raise Exception('not implemented') def get_covlen(self): return self.script.exports.get_covlen() def on_crash(self): details = self.script.exports.get_crash() if self.crash_cb: self.crash_cb(details) else: self.logger.info(details) def on_message(self, message, data): MSG_DEBUG = '\x01' MSG_COVLEN = '\x03' MSG_CRASH = '\x04' if (message['type'] == 'send'): payload = message['payload'] if payload[0] == MSG_DEBUG: self.logger.debug(payload) elif payload[0] == MSG_COVLEN: self.covlen = int(payload[1:]) elif (message['type'] == 'error'): self.logger.error(message) def get_covlen(self): return self.script.exports.get_covlen() def on_crash(self): details = self.script.exports.get_crash() if self.crash_cb: self.crash_cb(details) else: self.logger.info(details) @property def covlen(self): return u32_pointer(self.shm)[0] class bFuzz_AFL(): def __init__(self, args, log_level=logging.DEBUG): self.fuzzer_id = 'f1' # self.bin_path = path self.args = args self.options = None self.covlen = 0 self.queue = [] self.hang_id = 0 self.crash_id = 0 self.dryrun_idx = 0 self.new_path_count = 0 self.timeout = 60*2 self.timer_started = 0 self.nexecs = 0 self.logger = logging.getLogger('bFuzzer') self.logger.setLevel(log_level) self.lock = threading.Lock() def kill(self): frida.kill(self.pid) def start_process(self, covs=None): self.pid = frida.spawn(self.args) self.session = frida.attach(self.pid) self.bcov = frida_bCov(self.session, type='shm') self.bcov.crash_cb = self.on_crash self.bcov.set_options( { 'fuzzer_id': self.fuzzer_id, 'cov_module_names': ['AdobeXMP.dll'], 'target_module_name': 'EScript.api', 'target_offset': 0xa8020 } ) self.bcov.load() if covs: self.bcov.load_cov(covs) def post_input(self, inp): with open(self.cur_inp, 'wb') as f: f.write(inp) self.set_event() def get_next_dryrun_input(self): if self.dryrun_idx < len(self.queue): fname = self.queue[self.dryrun_idx] self.logger.debug('dryrun: ' + fname) r = self.read_input(fname) self.dryrun_idx += 1 return r else: return None '''for detect timeout and unexpected crash ''' def timeout_handler(self): covs = self.bcov.get_cov() fname = 'hang_%d' % self.hang_id self.hang_id += 1 shutil.copy(self.cur_inp, join(self.hangdir, fname)) self.logger.info('timeout') self.kill() self.start_process(covs) self.load_inpscript() frida.resume(self.pid) def get_next_fuzzing_input(self): fname = random.choice(self.queue) self.logger.debug('mutating %s' % fname) return radamsa.radamsa(join(self.queuedir, fname)) def found_new_path(self): self.new_path_count += 1 fname = 'id_%06d' % self.new_path_count shutil.copy(self.cur_inp, join(self.queuedir, fname)) self.queue.append(fname) def state_dryrun(self): inp = self.get_next_dryrun_input() if inp == None: self.covlen = self.bcov.covlen self.logger.info('dryrun finished') self.state = STATE_FUZZING self.state_fuzzing() else: self.post_input(inp) def state_fuzzing(self): if self.bcov.covlen > self.covlen: self.covlen = self.bcov.covlen self.found_new_path() inp = self.get_next_fuzzing_input() self.post_input(inp) def inp_script_cb(self): self.logger.debug('>>') self.lock.acquire() self.nexecs += 1 if self.nexecs%10==0: self.runtime = time.time() - self.starttime self.logger.info('exec speed: %f' % (self.nexecs/self.runtime)) if self.timer_started == 1: self.timer.cancel() self.timer_started = 0 self.logger.info('covlen: %d' % self.bcov.covlen) if self.state == STATE_DRYRUN: self.state_dryrun() elif self.state == STATE_FUZZING: self.state_fuzzing() self.timer = threading.Timer(self.timeout, self.timeout_handler) self.timer.start() self.timer_started = 1 self.logger.debug('<<') self.lock.release() def on_crash(self, details): self.timer.cancel() self.timer_started = 0 covs = self.bcov.get_cov() shutil.copyfile(self.cur_inp, join(self.crashdir, 'crash_%d'%self.crash_id)) self.crash_id += 1 self.logger.info('crash') self.kill() self.start_process(covs) self.load_inpscript() frida.resume(self.pid) def on_message(self, message, data): # self.logger.debug(message) MSG_INPUT = '\x01' if message['type'] == 'send': if message['payload'] == MSG_INPUT: self.inp_script_cb() elif message['type'] == 'error': self.logger.error(message) def reload_queue(self): for fname in os.listdir(self.queuedir): if fname not in self.queue: self.queue.append(fname) def save_state(self): fuzzer_state = { 'new_path_count': self.new_path_count, 'state': self.state, # ugly hack, we are not sure if the current dryrun is finished 'dryrun_idx': self.dryrun_idx-1, 'hang_id': self.hang_id, 'crash_id:': self.crash_id } with open(join(self.odir, 'state.pkl'), 'wb') as f: f.write(pickle.dumps(fuzzer_state)) with open(join(self.odir, 'cov.pkl'), 'wb') as f: f.write(pickle.dumps(self.bcov.get_cov(), protocol=2)) def load_state(self): with open(join(self.odir, 'cov.pkl'), 'rb') as f: covs = pickle.loads(f.read()) self.bcov.load_cov(covs) with open(join(self.odir, 'state.pkl'), 'rb') as f: fuzzer_state = pickle.loads(f.read()) self.reload_queue() self.state = fuzzer_state['state'] self.new_path_count = fuzzer_state['new_path_count'] self.dryrun_idx = fuzzer_state['dryrun_idx'] self.hang_id = fuzzer_state['hang_id'] self.crash_id = fuzzer_state['crash_id'] def setup_event(self): CreateEvent = windll.kernel32.CreateEventA CreateEvent.argtypes = (LPVOID, BOOL, BOOL, LPCSTR) CreateEvent.restype = HANDLE self.event = CreateEvent(0, 1, 0, c_char_p(bytes(self.fuzzer_id, 'ansi'))) def set_event(self): SetEvent = windll.kernel32.SetEvent SetEvent.argtypes = (HANDLE,) SetEvent(self.event) def load_inpscript(self): input_script = self.options.get('input_script') if input_script: self.logger.debug('using input_script: %s' % input_script) with open(input_script, 'r') as scriptfile: self.input_script = self.session.create_script(scriptfile.read()) self.input_script.on('message', self.on_message) self.input_script.load() self.setup_event() options = { 'input_path': self.cur_inp, 'event_name': self.fuzzer_id } self.input_script.exports.init(options) def start(self): if not self.options: raise Exception('options not set') self.start_process() radamsa.init(self.fuzzer_id) self.load_inpscript() if self.options.get('skip_dryrun'): self.state = STATE_FUZZING else: self.state = STATE_DRYRUN if os.path.exists(join(self.odir, 'cov.pkl')): self.logger.info('resuming') self.load_state() else: self.logger.info('new fuzzing session') if os.path.exists(self.odir): shutil.rmtree(self.odir) os.makedirs(self.odir) os.mkdir(self.queuedir) os.mkdir(self.crashdir) os.mkdir(self.hangdir) for fname in os.listdir(self.idir): self.add_file_to_queue(join(self.idir, fname)) self.starttime = time.time() frida.resume(self.pid) def set_options(self, options): self.options = options if options: if 'idir' not in options: options['idir'] = 'in' self.logger.info('idir not specified, using default value `in`') if 'odir' not in options: options['odir'] = 'out' self.logger.info('odir not specified, using default value `out`') self.idir = options['idir'] self.odir = join(options['odir'], self.fuzzer_id) self.queuedir = join(self.odir, 'queue') self.crashdir = join(self.odir, 'crash') self.hangdir = join(self.odir, 'hang') self.cur_inp = join(self.odir, 'cur_inp') def add_file_to_queue(self, path): fname = os.path.basename(path) ''' copy file to queue follder ''' shutil.copyfile(path, join(self.queuedir, fname)) ''' add fname to queue ''' self.queue.append(fname) def read_input(self, fname): with open(join(self.queuedir, fname), 'rb') as f: d = f.read() return d class bFuzz(): def __init__(self, args, log_level=logging.DEBUG): self.fuzzer_id = 'f1' # self.bin_path = path self.args = args self.options = None self.covlen = 0 self.queue = [] self.hang_id = 0 self.crash_id = 0 self.dryrun_idx = 0 self.new_path_count = 0 self.timeout = 60*2 self.timer_started = 0 self.nexecs = 0 self.logger = logging.getLogger('bFuzzer') self.logger.setLevel(log_level) self.lock = threading.Lock() def kill(self): frida.kill(self.pid) def start_process(self, covs=None): self.pid = frida.spawn(self.args) self.session = frida.attach(self.pid) self.bcov = frida_bCov(self.session, type='shm') self.bcov.crash_cb = self.on_crash self.bcov.set_options( { 'fuzzer_id': self.fuzzer_id, 'cov_module_names': ['AdobeXMP.dll'], 'target_module_name': 'EScript.api', 'target_offset': 0xa8020 } ) self.bcov.load() if covs: self.bcov.load_cov(covs) def post_input(self, inp): with open(self.cur_inp, 'wb') as f: f.write(inp) self.set_event() def get_next_dryrun_input(self): if self.dryrun_idx < len(self.queue): fname = self.queue[self.dryrun_idx] self.logger.debug('dryrun: ' + fname) r = self.read_input(fname) self.dryrun_idx += 1 return r else: return None '''for detect timeout and unexpected crash ''' def timeout_handler(self): covs = self.bcov.get_cov() fname = 'hang_%d' % self.hang_id self.hang_id += 1 shutil.copy(self.cur_inp, join(self.hangdir, fname)) self.logger.info('timeout') self.kill() self.start_process(covs) self.load_inpscript() frida.resume(self.pid) def get_next_fuzzing_input(self): fname = random.choice(self.queue) self.logger.debug('mutating %s' % fname) return radamsa.radamsa(join(self.queuedir, fname)) def found_new_path(self): self.new_path_count += 1 fname = 'id_%06d' % self.new_path_count shutil.copy(self.cur_inp, join(self.queuedir, fname)) self.queue.append(fname) def state_dryrun(self): inp = self.get_next_dryrun_input() if inp == None: self.covlen = self.bcov.covlen self.logger.info('dryrun finished') self.state = STATE_FUZZING self.state_fuzzing() else: self.post_input(inp) def state_fuzzing(self): if self.bcov.covlen > self.covlen: self.covlen = self.bcov.covlen self.found_new_path() inp = self.get_next_fuzzing_input() self.post_input(inp) def inp_script_cb(self): self.logger.debug('>>') self.lock.acquire() self.nexecs += 1 if self.nexecs%10==0: self.runtime = time.time() - self.starttime self.logger.info('exec speed: %f' % (self.nexecs/self.runtime)) if self.timer_started == 1: self.timer.cancel() self.timer_started = 0 self.logger.info('covlen: %d' % self.bcov.covlen) if self.state == STATE_DRYRUN: self.state_dryrun() elif self.state == STATE_FUZZING: self.state_fuzzing() self.timer = threading.Timer(self.timeout, self.timeout_handler) self.timer.start() self.timer_started = 1 self.logger.debug('<<') self.lock.release() def on_crash(self, details): self.timer.cancel() self.timer_started = 0 covs = self.bcov.get_cov() shutil.copyfile(self.cur_inp, join(self.crashdir, 'crash_%d'%self.crash_id)) self.crash_id += 1 self.logger.info('crash') self.kill() self.start_process(covs) self.load_inpscript() frida.resume(self.pid) def on_message(self, message, data): # self.logger.debug(message) MSG_INPUT = '\x01' if message['type'] == 'send': if message['payload'] == MSG_INPUT: self.inp_script_cb() elif message['type'] == 'error': self.logger.error(message) def reload_queue(self): for fname in os.listdir(self.queuedir): if fname not in self.queue: self.queue.append(fname) def save_state(self): fuzzer_state = { 'new_path_count': self.new_path_count, 'state': self.state, # ugly hack, we are not sure if the current dryrun is finished 'dryrun_idx': self.dryrun_idx-1, 'hang_id': self.hang_id, 'crash_id:': self.crash_id } with open(join(self.odir, 'state.pkl'), 'wb') as f: f.write(pickle.dumps(fuzzer_state)) with open(join(self.odir, 'cov.pkl'), 'wb') as f: f.write(pickle.dumps(self.bcov.get_cov(), protocol=2)) def load_state(self): with open(join(self.odir, 'cov.pkl'), 'rb') as f: covs = pickle.loads(f.read()) self.bcov.load_cov(covs) with open(join(self.odir, 'state.pkl'), 'rb') as f: fuzzer_state = pickle.loads(f.read()) self.reload_queue() self.state = fuzzer_state['state'] self.new_path_count = fuzzer_state['new_path_count'] self.dryrun_idx = fuzzer_state['dryrun_idx'] self.hang_id = fuzzer_state['hang_id'] self.crash_id = fuzzer_state['crash_id'] def setup_event(self): CreateEvent = windll.kernel32.CreateEventA CreateEvent.argtypes = (LPVOID, BOOL, BOOL, LPCSTR) CreateEvent.restype = HANDLE self.event = CreateEvent(0, 1, 0, c_char_p(bytes(self.fuzzer_id, 'ansi'))) def set_event(self): SetEvent = windll.kernel32.SetEvent SetEvent.argtypes = (HANDLE,) SetEvent(self.event) def load_inpscript(self): input_script = self.options.get('input_script') if input_script: self.logger.debug('using input_script: %s' % input_script) with open(input_script, 'r') as scriptfile: self.input_script = self.session.create_script(scriptfile.read()) self.input_script.on('message', self.on_message) self.input_script.load() self.setup_event() options = { 'input_path': self.cur_inp, 'event_name': self.fuzzer_id } self.input_script.exports.init(options) def start(self): if not self.options: raise Exception('options not set') self.start_process() radamsa.init(self.fuzzer_id) self.load_inpscript() if self.options.get('skip_dryrun'): self.state = STATE_FUZZING else: self.state = STATE_DRYRUN if os.path.exists(join(self.odir, 'cov.pkl')): self.logger.info('resuming') self.load_state() else: self.logger.info('new fuzzing session') if os.path.exists(self.odir): shutil.rmtree(self.odir) os.makedirs(self.odir) os.mkdir(self.queuedir) os.mkdir(self.crashdir) os.mkdir(self.hangdir) for fname in os.listdir(self.idir): self.add_file_to_queue(join(self.idir, fname)) self.starttime = time.time() frida.resume(self.pid) def set_options(self, options): self.options = options if options: if 'idir' not in options: options['idir'] = 'in' self.logger.info('idir not specified, using default value `in`') if 'odir' not in options: options['odir'] = 'out' self.logger.info('odir not specified, using default value `out`') self.idir = options['idir'] self.odir = join(options['odir'], self.fuzzer_id) self.queuedir = join(self.odir, 'queue') self.crashdir = join(self.odir, 'crash') self.hangdir = join(self.odir, 'hang') self.cur_inp = join(self.odir, 'cur_inp') def add_file_to_queue(self, path): fname = os.path.basename(path) ''' copy file to queue follder ''' shutil.copyfile(path, join(self.queuedir, fname)) ''' add fname to queue ''' self.queue.append(fname) def read_input(self, fname): with open(join(self.queuedir, fname), 'rb') as f: d = f.read() return d

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bc3ac99bf8f85c9552b873d1229ecaaef282d0e7

99,172

py

Python

dlkit/manager_impls/repository/managers.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/manager_impls/repository/managers.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/manager_impls/repository/managers.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""Manager utility implementations of repository managers.""" # pylint: disable=no-init # Numerous classes don't require __init__. # pylint: disable=too-many-public-methods # Number of methods are defined in specification # pylint: disable=too-many-ancestors # Inheritance defined in specification from ..osid import managers as osid_managers from ..osid.osid_errors import NullArgument from ..osid.osid_errors import Unimplemented from ..type.objects import TypeList from dlkit.abstract_osid.repository import managers as abc_repository_managers class RepositoryProfile(abc_repository_managers.RepositoryProfile, osid_managers.OsidProfile): """The repository profile describes interoperability among repository services.""" def supports_visible_federation(self): """Tests if federation is visible. return: (boolean) - ``true`` if visible federation is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_lookup(self): """Tests if asset lookup is supported. return: (boolean) - ``true`` if asset lookup is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_query(self): """Tests if asset query is supported. return: (boolean) - ``true`` if asset query is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_search(self): """Tests if asset search is supported. return: (boolean) - ``true`` if asset search is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_admin(self): """Tests if asset administration is supported. return: (boolean) - ``true`` if asset administration is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_notification(self): """Tests if asset notification is supported. A repository may send messages when assets are created, modified, or deleted. return: (boolean) - ``true`` if asset notification is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_repository(self): """Tests if retrieving mappings of assets and repositories is supported. return: (boolean) - ``true`` if asset repository mapping retrieval is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_repository_assignment(self): """Tests if managing mappings of assets and repositories is supported. return: (boolean) - ``true`` if asset repository assignment is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_smart_repository(self): """Tests if asset smart repository is supported. return: (boolean) - ``true`` if asset smart repository is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_temporal(self): """Tests if retrieving mappings of assets and time coverage is supported. return: (boolean) - ``true`` if asset temporal mapping retrieval is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_temporal_assignment(self): """Tests if managing mappings of assets and time ocverage is supported. return: (boolean) - ``true`` if asset temporal assignment is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_spatial(self): """Tests if retrieving mappings of assets and spatial coverage is supported. return: (boolean) - ``true`` if asset spatial mapping retrieval is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_spatial_assignment(self): """Tests if managing mappings of assets and spatial ocverage is supported. return: (boolean) - ``true`` if asset spatial assignment is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_composition(self): """Tests if assets are included in compositions. return: (boolean) - ``true`` if asset composition supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_asset_composition_design(self): """Tests if mapping assets to compositions is supported. return: (boolean) - ``true`` if designing asset compositions is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_lookup(self): """Tests if composition lookup is supported. return: (boolean) - ``true`` if composition lookup is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_query(self): """Tests if composition query is supported. return: (boolean) - ``true`` if composition query is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_search(self): """Tests if composition search is supported. return: (boolean) - ``true`` if composition search is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_admin(self): """Tests if composition administration is supported. return: (boolean) - ``true`` if composition administration is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_notification(self): """Tests if composition notification is supported. return: (boolean) - ``true`` if composition notification is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_repository(self): """Tests if retrieval of composition to repository mappings is supported. return: (boolean) - ``true`` if composition to repository mapping is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_repository_assignment(self): """Tests if assigning composition to repository mappings is supported. return: (boolean) - ``true`` if composition to repository assignment is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_composition_smart_repository(self): """Tests if composition smart repository is supported. return: (boolean) - ``true`` if composition smart repository is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_lookup(self): """Tests if repository lookup is supported. return: (boolean) - ``true`` if repository lookup is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_query(self): """Tests if repository query is supported. return: (boolean) - ``true`` if repository query is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_search(self): """Tests if repository search is supported. return: (boolean) - ``true`` if repository search is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_admin(self): """Tests if repository administration is supported. return: (boolean) - ``true`` if repository administration is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_notification(self): """Tests if repository notification is supported. Messages may be sent when ``Repository`` objects are created, deleted or updated. Notifications for assets within repositories are sent via the asset notification session. return: (boolean) - ``true`` if repository notification is supported ``,`` ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_hierarchy(self): """Tests if a repository hierarchy traversal is supported. return: (boolean) - ``true`` if a repository hierarchy traversal is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_hierarchy_design(self): """Tests if a repository hierarchy design is supported. return: (boolean) - ``true`` if a repository hierarchy design is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_batch(self): """Tests if a repository batch service is supported. return: (boolean) - ``true`` if a repository batch service is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def supports_repository_rules(self): """Tests if a repository rules service is supported. return: (boolean) - ``true`` if a repository rules service is supported, ``false`` otherwise *compliance: mandatory -- This method must be implemented.* """ return False def get_asset_record_types(self): """Gets all the asset record types supported. return: (osid.type.TypeList) - the list of supported asset record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) asset_record_types = property(fget=get_asset_record_types) def supports_asset_record_type(self, asset_record_type=None): """Tests if a given asset type is supported. arg: asset_record_type (osid.type.Type): the asset record type return: (boolean) - ``true`` if the asset record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``asset_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if asset_record_type is None: raise NullArgument() return False def get_asset_search_record_types(self): """Gets all the asset search record types supported. return: (osid.type.TypeList) - the list of supported asset search record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) asset_search_record_types = property(fget=get_asset_search_record_types) def supports_asset_search_record_type(self, asset_search_record_type=None): """Tests if a given asset search record type is supported. arg: asset_search_record_type (osid.type.Type): the asset search record type return: (boolean) - ``true`` if the asset search record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``asset_search_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if asset_search_record_type is None: raise NullArgument() return False def get_asset_content_record_types(self): """Gets all the asset content record types supported. return: (osid.type.TypeList) - the list of supported asset content record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) asset_content_record_types = property(fget=get_asset_content_record_types) def supports_asset_content_record_type(self, asset_content_record_type=None): """Tests if a given asset content record type is supported. arg: asset_content_record_type (osid.type.Type): the asset content record type return: (boolean) - ``true`` if the asset content record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``asset_content_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if asset_content_record_type is None: raise NullArgument() return False def get_composition_record_types(self): """Gets all the composition record types supported. return: (osid.type.TypeList) - the list of supported composition record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) composition_record_types = property(fget=get_composition_record_types) def supports_composition_record_type(self, composition_record_type=None): """Tests if a given composition record type is supported. arg: composition_record_type (osid.type.Type): the composition record type return: (boolean) - ``true`` if the composition record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``composition_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if composition_record_type is None: raise NullArgument() return False def get_composition_search_record_types(self): """Gets all the composition search record types supported. return: (osid.type.TypeList) - the list of supported composition search record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) composition_search_record_types = property(fget=get_composition_search_record_types) def supports_composition_search_record_type(self, composition_search_record_type=None): """Tests if a given composition search record type is supported. arg: composition_search_record_type (osid.type.Type): the composition serach type return: (boolean) - ``true`` if the composition search record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``composition_search_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if composition_search_record_type is None: raise NullArgument() return False def get_repository_record_types(self): """Gets all the repository record types supported. return: (osid.type.TypeList) - the list of supported repository record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) repository_record_types = property(fget=get_repository_record_types) def supports_repository_record_type(self, repository_record_type=None): """Tests if a given repository record type is supported. arg: repository_record_type (osid.type.Type): the repository record type return: (boolean) - ``true`` if the repository record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``repository_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if repository_record_type is None: raise NullArgument() return False def get_repository_search_record_types(self): """Gets all the repository search record types supported. return: (osid.type.TypeList) - the list of supported repository search record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) repository_search_record_types = property(fget=get_repository_search_record_types) def supports_repository_search_record_type(self, repository_search_record_type=None): """Tests if a given repository search record type is supported. arg: repository_search_record_type (osid.type.Type): the repository search type return: (boolean) - ``true`` if the repository search record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``repository_search_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if repository_search_record_type is None: raise NullArgument() return False def get_spatial_unit_record_types(self): """Gets all the spatial unit record types supported. return: (osid.type.TypeList) - the list of supported spatial unit record types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) spatial_unit_record_types = property(fget=get_spatial_unit_record_types) def supports_spatial_unit_record_type(self, spatial_unit_record_type=None): """Tests if a given spatial unit record type is supported. arg: spatial_unit_record_type (osid.type.Type): the spatial unit record type return: (boolean) - ``true`` if the spatial unit record type is supported ``,`` ``false`` otherwise raise: NullArgument - ``spatial_unit_record_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if spatial_unit_record_type is None: raise NullArgument() return False def get_coordinate_types(self): """Gets all the coordinate types supported. return: (osid.type.TypeList) - the list of supported coordinate types *compliance: mandatory -- This method must be implemented.* """ return TypeList([]) coordinate_types = property(fget=get_coordinate_types) def supports_coordinate_type(self, coordinate_type=None): """Tests if a given coordinate type is supported. arg: coordinate_type (osid.type.Type): the coordinate type return: (boolean) - ``true`` if the coordinate type is supported ``,`` ``false`` otherwise raise: NullArgument - ``coordinate_type`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ if coordinate_type is None: raise NullArgument() return False class RepositoryManager(abc_repository_managers.RepositoryManager, osid_managers.OsidManager, RepositoryProfile): """The repository manager provides access to asset lookup and creation session and provides interoperability tests for various aspects of this service. The sessions included in this manager are: * ``AssetLookupSession:`` a session to retrieve assets * ``AssetQuerySession:`` a session to query assets * ``AssetSearchSession:`` a session to search for assets * ``AssetAdminSession:`` a session to create and delete assets * ``AssetNotificationSession:`` a session to receive notifications pertaining to asset changes * ``AssetRepositorySession:`` a session to look up asset to repository mappings * ``AssetRepositoryAssignmentSession:`` a session to manage asset to repository mappings * ``AssetSmartRepositorySession:`` a session to manage dynamic repositories of assets * ``AssetTemporalSession:`` a session to access the temporal coverage of an asset * ``AssetTemporalAssignmentSession:`` a session to manage the temporal coverage of an asset * ``AssetSpatialSession:`` a session to access the spatial coverage of an asset * ``AssetSpatialAssignmentSession:`` a session to manage the spatial coverage of an asset * ``AssetCompositionSession:`` a session to look up asset composition mappings * ``AssetCompositionDesignSession:`` a session to map assets to compositions * ``CompositionLookupSession: a`` session to retrieve compositions * ``CompositionQuerySession:`` a session to query compositions * ``CompositionSearchSession:`` a session to search for compositions * ``CompositionAdminSession:`` a session to create, update and delete compositions * ``CompositionNotificationSession:`` a session to receive notifications pertaining to changes in compositions * ``CompositionRepositorySession:`` a session to retrieve composition repository mappings * ``CompositionRepositoryAssignmentSession:`` a session to manage composition repository mappings * ``CompositionSmartRepositorySession:`` a session to manage dynamic repositories of compositions * ``RepositoryLookupSession: a`` session to retrieve repositories * ``RepositoryQuerySession:`` a session to query repositories * ``RepositorySearchSession:`` a session to search for repositories * ``RepositoryAdminSession:`` a session to create, update and delete repositories * ``RepositoryNotificationSession:`` a session to receive notifications pertaining to changes in repositories * ``RepositoryHierarchySession:`` a session to traverse repository hierarchies * ``RepositoryHierarchyDesignSession:`` a session to manage repository hierarchies """ def get_asset_lookup_session(self): """Gets the ``OsidSession`` associated with the asset lookup service. return: (osid.repository.AssetLookupSession) - the new ``AssetLookupSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_lookup()`` is ``true``.* """ raise Unimplemented() asset_lookup_session = property(fget=get_asset_lookup_session) def get_asset_lookup_session_for_repository(self, repository_id=None): """Gets the ``OsidSession`` associated with the asset lookup service for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetLookupSession) - the new ``AssetLookupSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_lookup()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_lookup()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_query_session(self): """Gets an asset query session. return: (osid.repository.AssetQuerySession) - an ``AssetQuerySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_query()`` is ``true``.* """ raise Unimplemented() asset_query_session = property(fget=get_asset_query_session) def get_asset_query_session_for_repository(self, repository_id=None): """Gets an asset query session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetQuerySession) - an ``AssetQuerySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_query()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_query()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_search_session(self): """Gets an asset search session. return: (osid.repository.AssetSearchSession) - an ``AssetSearchSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_search()`` is ``true``.* """ raise Unimplemented() asset_search_session = property(fget=get_asset_search_session) def get_asset_search_session_for_repository(self, repository_id=None): """Gets an asset search session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetSearchSession) - an ``AssetSearchSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_search()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_search()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_admin_session(self): """Gets an asset administration session for creating, updating and deleting assets. return: (osid.repository.AssetAdminSession) - an ``AssetAdminSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_admin()`` is ``true``.* """ raise Unimplemented() asset_admin_session = property(fget=get_asset_admin_session) def get_asset_admin_session_for_repository(self, repository_id=None): """Gets an asset administration session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetAdminSession) - an ``AssetAdminSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_admin()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_admin()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_notification_session(self, asset_receiver=None): """Gets the notification session for notifications pertaining to asset changes. arg: asset_receiver (osid.repository.AssetReceiver): the notification callback return: (osid.repository.AssetNotificationSession) - an ``AssetNotificationSession`` raise: NullArgument - ``asset_receiver`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_notification()`` is ``true``.* """ raise Unimplemented() def get_asset_notification_session_for_repository(self, asset_receiver=None, repository_id=None): """Gets the asset notification session for the given repository. arg: asset_receiver (osid.repository.AssetReceiver): the notification callback arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetNotificationSession) - an ``AssetNotificationSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``asset_receiver`` or ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_notification()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_notfication()`` and ``supports_visible_federation()`` are ``true``.* """ if asset_receiver is None: raise NullArgument if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_repository_session(self): """Gets the session for retrieving asset to repository mappings. return: (osid.repository.AssetRepositorySession) - an ``AssetRepositorySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_repository()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_repository()`` is ``true``.* """ raise Unimplemented() asset_repository_session = property(fget=get_asset_repository_session) def get_asset_repository_assignment_session(self): """Gets the session for assigning asset to repository mappings. return: (osid.repository.AssetRepositoryAssignmentSession) - an ``AssetRepositoryAsignmentSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_repository_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_repository_assignment()`` is ``true``.* """ raise Unimplemented() asset_repository_assignment_session = property(fget=get_asset_repository_assignment_session) def get_asset_smart_repository_session(self, repository_id=None): """Gets an asset smart repository session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetSmartRepositorySession) - an ``AssetSmartRepositorySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_smart_repository()`` ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_smart_repository()`` is ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_temporal_session(self): """Gets the session for retrieving temporal coverage of an asset. return: (osid.repository.AssetTemporalSession) - an ``AssetTemporalSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal()`` is ``true``.* """ raise Unimplemented() asset_temporal_session = property(fget=get_asset_temporal_session) def get_asset_temporal_session_for_repository(self, repository_id=None): """Gets the session for retrieving temporal coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetTemporalSession) - an ``AssetTemporalSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_temporal_assignment_session(self): """Gets the session for assigning temporal coverage to an asset. return: (osid.repository.AssetTemporalAssignmentSession) - an ``AssetTemporalAssignmentSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal_assignment()`` is ``true``.* """ raise Unimplemented() asset_temporal_assignment_session = property(fget=get_asset_temporal_assignment_session) def get_asset_temporal_assignment_session_for_repository(self, repository_id=None): """Gets the session for assigning temporal coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetTemporalAssignmentSession) - an ``AssetTemporalAssignmentSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal_assignment()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal_assignment()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_spatial_session(self): """Gets the session for retrieving spatial coverage of an asset. return: (osid.repository.AssetSpatialSession) - an ``AssetSpatialSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_spatial_assets()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_spatial_assets()`` is ``true``.* """ raise Unimplemented() asset_spatial_session = property(fget=get_asset_spatial_session) def get_asset_spatial_session_for_repository(self, repository_id=None): """Gets the session for retrieving spatial coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetSpatialSession) - an ``AssetSpatialSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_spatial_assignment_session(self): """Gets the session for assigning spatial coverage to an asset. return: (osid.repository.AssetSpatialAssignmentSession) - an ``AssetSpatialAssignmentSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial_assignment()`` is ``true``.* """ raise Unimplemented() asset_spatial_assignment_session = property(fget=get_asset_spatial_assignment_session) def get_asset_spatial_assignment_session_for_repository(self, repository_id=None): """Gets the session for assigning spatial coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.AssetSpatialAssignmentSession) - an ``AssetSpatialAssignmentSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial_assignment()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial_assignment()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_asset_composition_session(self): """Gets the session for retrieving asset compositions. return: (osid.repository.AssetCompositionSession) - an ``AssetCompositionSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_composition()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_composition()`` is ``true``.* """ raise Unimplemented() asset_composition_session = property(fget=get_asset_composition_session) def get_asset_composition_design_session(self): """Gets the session for creating asset compositions. return: (osid.repository.AssetCompositionDesignSession) - an ``AssetCompositionDesignSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_composition_design()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_composition_design()`` is ``true``.* """ raise Unimplemented() asset_composition_design_session = property(fget=get_asset_composition_design_session) def get_composition_lookup_session(self): """Gets the ``OsidSession`` associated with the composition lookup service. return: (osid.repository.CompositionLookupSession) - the new ``CompositionLookupSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_lookup()`` is ``true``.* """ raise Unimplemented() composition_lookup_session = property(fget=get_composition_lookup_session) def get_composition_lookup_session_for_repository(self, repository_id=None): """Gets the ``OsidSession`` associated with the composition lookup service for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionLookupSession) - the new ``CompositionLookupSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_lookup()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_lookup()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_composition_query_session(self): """Gets a composition query session. return: (osid.repository.CompositionQuerySession) - a ``CompositionQuerySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_query()`` is ``true``.* """ raise Unimplemented() composition_query_session = property(fget=get_composition_query_session) def get_composition_query_session_for_repository(self, repository_id=None): """Gets a composition query session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionQuerySession) - a ``CompositionQuerySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_query()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_query()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_composition_search_session(self): """Gets a composition search session. return: (osid.repository.CompositionSearchSession) - a ``CompositionSearchSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_search()`` is ``true``.* """ raise Unimplemented() composition_search_session = property(fget=get_composition_search_session) def get_composition_search_session_for_repository(self, repository_id=None): """Gets a composition search session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionSearchSession) - a ``CompositionSearchSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_search()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_search()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_composition_admin_session(self): """Gets a composition administration session for creating, updating and deleting compositions. return: (osid.repository.CompositionAdminSession) - a ``CompositionAdminSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_admin()`` is ``true``.* """ raise Unimplemented() composition_admin_session = property(fget=get_composition_admin_session) def get_composition_admin_session_for_repository(self, repository_id=None): """Gets a composiiton administrative session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionAdminSession) - a ``CompositionAdminSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_admin()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_admin()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_composition_notification_session(self, composition_receiver=None): """Gets the notification session for notifications pertaining to composition changes. arg: composition_receiver (osid.repository.CompositionReceiver): the notification callback return: (osid.repository.CompositionNotificationSession) - a ``CompositionNotificationSession`` raise: NullArgument - ``composition_receiver`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_notification()`` is ``true``.* """ raise Unimplemented() def get_composition_notification_session_for_repository(self, composition_receiver=None, repository_id=None): """Gets the composition notification session for the given repository. arg: composition_receiver (osid.repository.CompositionReceiver): the notification callback arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionNotificationSession) - a ``CompositionNotificationSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``composition_receiver`` or ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_notification()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_notfication()`` and ``supports_visible_federation()`` are ``true``.* """ if composition_receiver is None: raise NullArgument if repository_id is None: raise NullArgument raise Unimplemented() def get_composition_repository_session(self): """Gets the session for retrieving composition to repository mappings. return: (osid.repository.CompositionRepositorySession) - a ``CompositionRepositorySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_repository()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_repository()`` is ``true``.* """ raise Unimplemented() composition_repository_session = property(fget=get_composition_repository_session) def get_composition_repository_assignment_session(self): """Gets the session for assigning composition to repository mappings. return: (osid.repository.CompositionRepositoryAssignmentSession) - a ``CompositionRepositoryAssignmentSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_repository_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_repository_assignment()`` is ``true``.* """ raise Unimplemented() composition_repository_assignment_session = property(fget=get_composition_repository_assignment_session) def get_composition_smart_repository_session(self, repository_id=None): """Gets a composition smart repository session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository return: (osid.repository.CompositionSmartRepositorySession) - a ``CompositionSmartRepositorySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_smart_repository()`` ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_smart_repository()`` is ``true``.* """ if repository_id is None: raise NullArgument raise Unimplemented() def get_repository_lookup_session(self): """Gets the repository lookup session. return: (osid.repository.RepositoryLookupSession) - a ``RepositoryLookupSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_lookup()`` is ``true``.* """ raise Unimplemented() repository_lookup_session = property(fget=get_repository_lookup_session) def get_repository_query_session(self): """Gets the repository query session. return: (osid.repository.RepositoryQuerySession) - a ``RepositoryQuerySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_query()`` is ``true``.* """ raise Unimplemented() repository_query_session = property(fget=get_repository_query_session) def get_repository_search_session(self): """Gets the repository search session. return: (osid.repository.RepositorySearchSession) - a ``RepositorySearchSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_search()`` is ``true``.* """ raise Unimplemented() repository_search_session = property(fget=get_repository_search_session) def get_repository_admin_session(self): """Gets the repository administrative session for creating, updating and deleteing repositories. return: (osid.repository.RepositoryAdminSession) - a ``RepositoryAdminSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_admin()`` is ``true``.* """ raise Unimplemented() repository_admin_session = property(fget=get_repository_admin_session) def get_repository_notification_session(self, repository_receiver=None): """Gets the notification session for subscribing to changes to a repository. arg: repository_receiver (osid.repository.RepositoryReceiver): the notification callback return: (osid.repository.RepositoryNotificationSession) - a ``RepositoryNotificationSession`` raise: NullArgument - ``repository_receiver`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_notification()`` is ``true``.* """ raise Unimplemented() def get_repository_hierarchy_session(self): """Gets the repository hierarchy traversal session. return: (osid.repository.RepositoryHierarchySession) - ``a RepositoryHierarchySession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_hierarchy()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_hierarchy()`` is ``true``.* """ raise Unimplemented() repository_hierarchy_session = property(fget=get_repository_hierarchy_session) def get_repository_hierarchy_design_session(self): """Gets the repository hierarchy design session. return: (osid.repository.RepositoryHierarchyDesignSession) - a ``RepostoryHierarchyDesignSession`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_hierarchy_design()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_hierarchy_design()`` is ``true``.* """ raise Unimplemented() repository_hierarchy_design_session = property(fget=get_repository_hierarchy_design_session) def get_repository_batch_manager(self): """Gets a ``RepositoryBatchManager``. return: (osid.repository.batch.RepositoryBatchManager) - a ``RepostoryBatchManager`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_batch()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_batch()`` is ``true``.* """ raise Unimplemented() repository_batch_manager = property(fget=get_repository_batch_manager) def get_repository_rules_manager(self): """Gets a ``RepositoryRulesManager``. return: (osid.repository.rules.RepositoryRulesManager) - a ``RepostoryRulesManager`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_rules()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_rules()`` is ``true``.* """ raise Unimplemented() repository_rules_manager = property(fget=get_repository_rules_manager) class RepositoryProxyManager(abc_repository_managers.RepositoryProxyManager, osid_managers.OsidProxyManager, RepositoryProfile): """The repository manager provides access to asset lookup and creation session and provides interoperability tests for various aspects of this service. Methods in this manager support the passing of a ``Proxy`` for the purposes of passing information from a server environment. The sessions included in this manager are: * ``AssetLookupSession:`` a session to retrieve assets * ``AssetQuerySession:`` a session to query assets * ``AssetSearchSession:`` a session to search for assets * ``AssetAdminSession:`` a session to create and delete assets * ``AssetNotificationSession:`` a session to receive notifications pertaining to asset changes * ``AssetRepositorySession:`` a session to look up asset to repository mappings * ``AssetRepositoryAssignmentSession:`` a session to manage asset to repository mappings * ``AssetSmartRepositorySession:`` a session to manage dynamic repositories of assets * ``AssetTemporalSession:`` a session to access the temporal coverage of an asset * ``AssetTemporalAssignmentSession:`` a session to manage the temporal coverage of an asset * ``AssetSpatialSession:`` a session to access the spatial coverage of an asset * ``AssetSpatialAssignmentSession:`` a session to manage the spatial coverage of an asset * ``AssetCompositionSession:`` a session to look up asset composition mappings * ``AssetCompositionDesignSession:`` a session to map assets to compositions * ``CompositionLookupSession: a`` session to retrieve compositions * ``CompositionQuerySession:`` a session to query compositions * ``CompositionSearchSession:`` a session to search for compositions * ``CompositionAdminSession:`` a session to create, update and delete compositions * ``CompositionNotificationSession:`` a session to receive notifications pertaining to changes in compositions * ``CompositionRepositorySession:`` a session to retrieve composition repository mappings * ``CompositionRepositoryAssignmentSession:`` a session to manage composition repository mappings * ``CompositionSmartRepositorySession:`` a session to manage dynamic repositories of compositions * ``RepositoryLookupSession: a`` session to retrieve repositories * ``RepositoryQuerySession:`` a session to query repositories * ``RepositorySearchSession:`` a session to search for repositories * ``RepositoryAdminSession:`` a session to create, update and delete repositories * ``RepositoryNotificationSession:`` a session to receive notifications pertaining to changes in repositories * ``RepositoryHierarchySession:`` a session to traverse repository hierarchies * ``RepositoryHierarchyDesignSession:`` a session to manage repository hierarchies """ def get_asset_lookup_session(self, proxy=None): """Gets the ``OsidSession`` associated with the asset lookup service. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetLookupSession) - an ``AssetLookupSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_lookup()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_lookup_session_for_repository(self, repository_id=None, proxy=None): """Gets the ``OsidSession`` associated with the asset lookup service for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetLookupSession) - an ``AssetLookupSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_lookup()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_lookup()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_query_session(self, proxy=None): """Gets the ``OsidSession`` associated with the asset query service. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetQuerySession) - an ``AssetQuerySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_query()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_query_session_for_repository(self, repository_id=None, proxy=None): """Gets the ``OsidSession`` associated with the asset query service for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetQuerySession) - an ``AssetQuerySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_query()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_query()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_search_session(self, proxy=None): """Gets an asset search session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSearchSession) - an ``AssetSearchSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_search()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_search_session_for_repository(self, repository_id=None, proxy=None): """Gets an asset search session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSearchSession) - an ``AssetSearchSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_search()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_search()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_admin_session(self, proxy=None): """Gets an asset administration session for creating, updating and deleting assets. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetAdminSession) - an ``AssetAdminSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_admin()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_admin_session_for_repository(self, repository_id=None, proxy=None): """Gets an asset administration session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetAdminSession) - an ``AssetAdminSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_admin()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_admin()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_notification_session(self, asset_receiver=None, proxy=None): """Gets the notification session for notifications pertaining to asset changes. arg: asset_receiver (osid.repository.AssetReceiver): the notification callback arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetNotificationSession) - an ``AssetNotificationSession`` raise: NullArgument - ``asset_receiver`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_notification()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_notification_session_for_repository(self, asset_receiver=None, repository_id=None, proxy=None): """Gets the asset notification session for the given repository. arg: asset_receiver (osid.repository.AssetReceiver): the notification callback arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetNotificationSession) - an ``AssetNotificationSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``asset_receiver, repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_notification()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_notfication()`` and ``supports_visible_federation()`` are ``true``.* """ if asset_receiver is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_repository_session(self, proxy=None): """Gets the session for retrieving asset to repository mappings. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetRepositorySession) - an ``AssetRepositorySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_repository()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_repository()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_repository_assignment_session(self, proxy=None): """Gets the session for assigning asset to repository mappings. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetRepositoryAssignmentSession) - an ``AssetRepositoryAsignmentSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_repository_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_repository_assignment()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_smart_repository_session(self, repository_id=None, proxy=None): """Gets an asset smart repository session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSmartRepositorySession) - an ``AssetSmartRepositorySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_asset_smart_repository()`` ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_smart_repository()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_temporal_session(self, proxy=None): """Gets the session for retrieving temporal coverage of an asset. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetTemporalSession) - an ``AssetTemporalSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_temporal_session_for_repository(self, repository_id=None, proxy=None): """Gets the session for retrieving temporal coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetTemporalSession) - an ``AssetTemporalSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_temporal_assignment_session(self, proxy=None): """Gets the session for assigning temporal coverage to an asset. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetTemporalAssignmentSession) - an ``AssetTemporalAssignmentSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal_assignment()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_temporal_assignment_session_for_repository(self, repository_id=None, proxy=None): """Gets the session for assigning temporal coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetTemporalAssignmentSession) - an ``AssetTemporalAssignmentSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_temporal_assignment()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_temporal_assignment()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_spatial_session(self, proxy=None): """Gets the session for retrieving spatial coverage of an asset. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSpatialSession) - an ``AssetSpatialSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_spatial_assets()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_spatial_assets()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_spatial_session_for_repository(self, repository_id=None, proxy=None): """Gets the session for retrieving spatial coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSpatialSession) - an ``AssetSpatialSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_spatial_assignment_session(self, proxy=None): """Gets the session for assigning spatial coverage to an asset. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSpatialAssignmentSession) - an ``AssetSpatialAssignmentSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial_assignment()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_spatial_assignment_session_for_repository(self, repository_id=None, proxy=None): """Gets the session for assigning spatial coverage of an asset for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetSpatialAssignmentSession) - an ``AssetSpatialAssignmentSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_spatial_assignment()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_spatial_assignment()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_asset_composition_session(self, proxy=None): """Gets the session for retrieving asset compositions. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetCompositionSession) - an ``AssetCompositionSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_composition()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_composition()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_asset_composition_design_session(self, proxy=None): """Gets the session for creating asset compositions. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.AssetCompositionDesignSession) - an ``AssetCompositionDesignSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_asset_composition_design()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_asset_composition_design()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_lookup_session(self, proxy=None): """Gets the ``OsidSession`` associated with the composition lookup service. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionLookupSession) - the new ``CompositionLookupSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_lookup()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_lookup_session_for_repository(self, repository_id=None, proxy=None): """Gets the ``OsidSession`` associated with the composition lookup service for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionLookupSession) - the new ``CompositionLookupSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_lookup()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_lookup()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_composition_query_session(self, proxy=None): """Gets a composition query session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionSearchSession) - a ``CompositionQuerySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_query()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_query_session_for_repository(self, repository_id=None, proxy=None): """Gets a composition query session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionQuerySession) - a ``CompositionQuerySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_query()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_query()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_composition_search_session(self, proxy=None): """Gets a composition search session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionSearchSession) - a ``CompositionSearchSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_search()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_search_session_for_repository(self, repository_id=None, proxy=None): """Gets a composition search session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionSearchSession) - a ``CompositionSearchSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_search()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_search()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_composition_admin_session(self, proxy=None): """Gets a composition administration session for creating, updating and deleting compositions. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionAdminSession) - a ``CompositionAdminSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_admin()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_admin_session_for_repository(self, repository_id=None, proxy=None): """Gets a composiiton administrative session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionAdminSession) - a ``CompositionAdminSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_admin()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_admin()`` and ``supports_visible_federation()`` are ``true``.* """ if repository_id is None or proxy is None: raise NullArgument raise Unimplemented() def get_composition_notification_session(self, composition_receiver=None, proxy=None): """Gets the notification session for notifications pertaining to composition changes. arg: composition_receiver (osid.repository.CompositionReceiver): the notification callback arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionNotificationSession) - a ``CompositionNotificationSession`` raise: NullArgument - ``composition_receiver`` or ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_notification()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_notification_session_for_repository(self, composition_receiver=None, repository_id=None, proxy=None): """Gets the composition notification session for the given repository. arg: composition_receiver (osid.repository.CompositionReceiver): the notification callback arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionNotificationSession) - a ``CompositionNotificationSession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``composition_receiver, repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_notification()`` or ``supports_visible_federation()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_notfication()`` and ``supports_visible_federation()`` are ``true``.* """ if composition_receiver is None or proxy is None: raise NullArgument raise Unimplemented() def get_composition_repository_session(self, proxy=None): """Gets the session for retrieving composition to repository mappings. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionRepositorySession) - a ``CompositionRepositorySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_repository()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_repository()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_repository_assignment_session(self, proxy=None): """Gets the session for assigning composition to repository mappings. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionRepositoryAssignmentSession) - a ``CompositionRepositoryAssignmentSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_composition_repository_assignment()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_repository_assignment()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_composition_smart_repository_session(self, repository_id=None, proxy=None): """Gets a composition smart repository session for the given repository. arg: repository_id (osid.id.Id): the ``Id`` of the repository arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.CompositionSmartRepositorySession) - a ``CompositionSmartRepositorySession`` raise: NotFound - ``repository_id`` not found raise: NullArgument - ``repository_id`` or ``proxy`` is ``null`` raise: OperationFailed - ``unable to complete request`` raise: Unimplemented - ``supports_composition_smart_repository()`` ``false`` *compliance: optional -- This method must be implemented if ``supports_composition_smart_repository()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_lookup_session(self, proxy=None): """Gets the repository lookup session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryLookupSession) - a ``RepositoryLookupSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_lookup()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_lookup()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_query_session(self, proxy=None): """Gets the repository query session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryQuerySession) - a ``RepositoryQuerySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_query()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_search_session(self, proxy=None): """Gets the repository search session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositorySearchSession) - a ``RepositorySearchSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_search()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_search()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_admin_session(self, proxy=None): """Gets the repository administrative session for creating, updating and deleteing repositories. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryAdminSession) - a ``RepositoryAdminSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_admin()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_admin()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_notification_session(self, repository_receiver=None, proxy=None): """Gets the notification session for subscribing to changes to a repository. arg: repository_receiver (osid.repository.RepositoryReceiver): the notification callback arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryNotificationSession) - a ``RepositoryNotificationSession`` raise: NullArgument - ``repository_receiver`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_notification()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_notification()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_hierarchy_session(self, proxy=None): """Gets the repository hierarchy traversal session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryHierarchySession) - ``a RepositoryHierarchySession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_hierarchy()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_hierarchy()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_hierarchy_design_session(self, proxy=None): """Gets the repository hierarchy design session. arg: proxy (osid.proxy.Proxy): a proxy return: (osid.repository.RepositoryHierarchyDesignSession) - a ``RepostoryHierarchyDesignSession`` raise: NullArgument - ``proxy`` is ``null`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_hierarchy_design()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_hierarchy_design()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() def get_repository_batch_proxy_manager(self): """Gets a ``RepositoryBatchProxyManager``. return: (osid.repository.batch.RepositoryBatchProxyManager) - a ``RepostoryBatchProxyManager`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_batch()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_batch()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() repository_batch_proxy_manager = property(fget=get_repository_batch_proxy_manager) def get_repository_rules_proxy_manager(self): """Gets a ``RepositoryRulesProxyManager``. return: (osid.repository.rules.RepositoryRulesProxyManager) - a ``RepostoryRulesProxyManager`` raise: OperationFailed - unable to complete request raise: Unimplemented - ``supports_repository_rules()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_repository_rules()`` is ``true``.* """ if proxy is None: raise NullArgument() raise Unimplemented() repository_rules_proxy_manager = property(fget=get_repository_rules_proxy_manager)

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70c3a4e66a458130d30abfeb7d2aff4b3c4d00a5

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py

Python

varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py

NVE/python-varsom-avalanche-client

c7787bf070d8ea91efd3a2a9e7782eedd4961528

[ "MIT" ]

null

varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py

NVE/python-varsom-avalanche-client

c7787bf070d8ea91efd3a2a9e7782eedd4961528

[ "MIT" ]

null

varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py

NVE/python-varsom-avalanche-client

c7787bf070d8ea91efd3a2a9e7782eedd4961528

[ "MIT" ]

null

# coding: utf-8 """ Snøskredvarsel API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: v5.0.1 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 varsom_avalanche_client.api_client import ApiClient class AvalancheWarningByCoordinatesApi(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 avalanche_warning_by_coordinates_detail(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_detail # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_detail(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[AvalancheWarningDetail] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.avalanche_warning_by_coordinates_detail_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 else: (data) = self.avalanche_warning_by_coordinates_detail_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 return data def avalanche_warning_by_coordinates_detail_with_http_info(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_detail # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_detail_with_http_info(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[AvalancheWarningDetail] If the method is called asynchronously, returns the request thread. """ all_params = ['x', 'y', 'langkey', 'startdate', 'enddate'] # 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 avalanche_warning_by_coordinates_detail" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x' is set if ('x' not in params or params['x'] is None): raise ValueError("Missing the required parameter `x` when calling `avalanche_warning_by_coordinates_detail`") # noqa: E501 # verify the required parameter 'y' is set if ('y' not in params or params['y'] is None): raise ValueError("Missing the required parameter `y` when calling `avalanche_warning_by_coordinates_detail`") # noqa: E501 # verify the required parameter 'langkey' is set if ('langkey' not in params or params['langkey'] is None): raise ValueError("Missing the required parameter `langkey` when calling `avalanche_warning_by_coordinates_detail`") # noqa: E501 # verify the required parameter 'startdate' is set if ('startdate' not in params or params['startdate'] is None): raise ValueError("Missing the required parameter `startdate` when calling `avalanche_warning_by_coordinates_detail`") # noqa: E501 # verify the required parameter 'enddate' is set if ('enddate' not in params or params['enddate'] is None): raise ValueError("Missing the required parameter `enddate` when calling `avalanche_warning_by_coordinates_detail`") # noqa: E501 collection_formats = {} path_params = {} if 'x' in params: path_params['x'] = params['x'] # noqa: E501 if 'y' in params: path_params['y'] = params['y'] # noqa: E501 if 'langkey' in params: path_params['langkey'] = params['langkey'] # noqa: E501 if 'startdate' in params: path_params['startdate'] = params['startdate'] # noqa: E501 if 'enddate' in params: path_params['enddate'] = params['enddate'] # 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', 'text/json', 'application/xml', 'text/xml']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/AvalancheWarningByCoordinates/Detail/{x}/{y}/{langkey}/{startdate}/{enddate}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[AvalancheWarningDetail]', # 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 avalanche_warning_by_coordinates_obs(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_obs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_obs(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[ObsWarning] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.avalanche_warning_by_coordinates_obs_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 else: (data) = self.avalanche_warning_by_coordinates_obs_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 return data def avalanche_warning_by_coordinates_obs_with_http_info(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_obs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_obs_with_http_info(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[ObsWarning] If the method is called asynchronously, returns the request thread. """ all_params = ['x', 'y', 'langkey', 'startdate', 'enddate'] # 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 avalanche_warning_by_coordinates_obs" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x' is set if ('x' not in params or params['x'] is None): raise ValueError("Missing the required parameter `x` when calling `avalanche_warning_by_coordinates_obs`") # noqa: E501 # verify the required parameter 'y' is set if ('y' not in params or params['y'] is None): raise ValueError("Missing the required parameter `y` when calling `avalanche_warning_by_coordinates_obs`") # noqa: E501 # verify the required parameter 'langkey' is set if ('langkey' not in params or params['langkey'] is None): raise ValueError("Missing the required parameter `langkey` when calling `avalanche_warning_by_coordinates_obs`") # noqa: E501 # verify the required parameter 'startdate' is set if ('startdate' not in params or params['startdate'] is None): raise ValueError("Missing the required parameter `startdate` when calling `avalanche_warning_by_coordinates_obs`") # noqa: E501 # verify the required parameter 'enddate' is set if ('enddate' not in params or params['enddate'] is None): raise ValueError("Missing the required parameter `enddate` when calling `avalanche_warning_by_coordinates_obs`") # noqa: E501 collection_formats = {} path_params = {} if 'x' in params: path_params['x'] = params['x'] # noqa: E501 if 'y' in params: path_params['y'] = params['y'] # noqa: E501 if 'langkey' in params: path_params['langkey'] = params['langkey'] # noqa: E501 if 'startdate' in params: path_params['startdate'] = params['startdate'] # noqa: E501 if 'enddate' in params: path_params['enddate'] = params['enddate'] # 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', 'text/json', 'application/xml', 'text/xml']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/AvalancheWarningByCoordinates/Obs/{x}/{y}/{langkey}/{startdate}/{enddate}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[ObsWarning]', # 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 avalanche_warning_by_coordinates_simple(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_simple # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_simple(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[AvalancheWarningSimple] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.avalanche_warning_by_coordinates_simple_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 else: (data) = self.avalanche_warning_by_coordinates_simple_with_http_info(x, y, langkey, startdate, enddate, **kwargs) # noqa: E501 return data def avalanche_warning_by_coordinates_simple_with_http_info(self, x, y, langkey, startdate, enddate, **kwargs): # noqa: E501 """avalanche_warning_by_coordinates_simple # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.avalanche_warning_by_coordinates_simple_with_http_info(x, y, langkey, startdate, enddate, async_req=True) >>> result = thread.get() :param async_req bool :param float x: (required) :param float y: (required) :param int langkey: (required) :param datetime startdate: (required) :param datetime enddate: (required) :return: list[AvalancheWarningSimple] If the method is called asynchronously, returns the request thread. """ all_params = ['x', 'y', 'langkey', 'startdate', 'enddate'] # 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 avalanche_warning_by_coordinates_simple" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x' is set if ('x' not in params or params['x'] is None): raise ValueError("Missing the required parameter `x` when calling `avalanche_warning_by_coordinates_simple`") # noqa: E501 # verify the required parameter 'y' is set if ('y' not in params or params['y'] is None): raise ValueError("Missing the required parameter `y` when calling `avalanche_warning_by_coordinates_simple`") # noqa: E501 # verify the required parameter 'langkey' is set if ('langkey' not in params or params['langkey'] is None): raise ValueError("Missing the required parameter `langkey` when calling `avalanche_warning_by_coordinates_simple`") # noqa: E501 # verify the required parameter 'startdate' is set if ('startdate' not in params or params['startdate'] is None): raise ValueError("Missing the required parameter `startdate` when calling `avalanche_warning_by_coordinates_simple`") # noqa: E501 # verify the required parameter 'enddate' is set if ('enddate' not in params or params['enddate'] is None): raise ValueError("Missing the required parameter `enddate` when calling `avalanche_warning_by_coordinates_simple`") # noqa: E501 collection_formats = {} path_params = {} if 'x' in params: path_params['x'] = params['x'] # noqa: E501 if 'y' in params: path_params['y'] = params['y'] # noqa: E501 if 'langkey' in params: path_params['langkey'] = params['langkey'] # noqa: E501 if 'startdate' in params: path_params['startdate'] = params['startdate'] # noqa: E501 if 'enddate' in params: path_params['enddate'] = params['enddate'] # 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', 'text/json', 'application/xml', 'text/xml']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/AvalancheWarningByCoordinates/Simple/{x}/{y}/{langkey}/{startdate}/{enddate}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[AvalancheWarningSimple]', # 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)

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