xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

79d4bd1374601b3b67fc39c4b2924659ec211e61

43,928

py

Python

libs/python/qumranica/api/text_api.py

Scripta-Qumranica-Electronica/SQE_API_Connectors

aaa9b9eb8709d4257c32ea57321a179c6b1e041a

[ "MIT" ]

null

libs/python/qumranica/api/text_api.py

Scripta-Qumranica-Electronica/SQE_API_Connectors

aaa9b9eb8709d4257c32ea57321a179c6b1e041a

[ "MIT" ]

null

libs/python/qumranica/api/text_api.py

Scripta-Qumranica-Electronica/SQE_API_Connectors

aaa9b9eb8709d4257c32ea57321a179c6b1e041a

[ "MIT" ]

null

# coding: utf-8 """ SQE API No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1 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 qumranica.api_client import ApiClient from qumranica.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class TextApi(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 v1_editions_edition_id_lines_line_id_get(self, edition_id, line_id, **kwargs): # noqa: E501 """Retrieves all signs and their data from the given line # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_lines_line_id_get(edition_id, line_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int line_id: Id of the line (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: LineTextDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_lines_line_id_get_with_http_info(edition_id, line_id, **kwargs) # noqa: E501 def v1_editions_edition_id_lines_line_id_get_with_http_info(self, edition_id, line_id, **kwargs): # noqa: E501 """Retrieves all signs and their data from the given line # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_lines_line_id_get_with_http_info(edition_id, line_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int line_id: Id of the line (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(LineTextDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'line_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_lines_line_id_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_lines_line_id_get`") # noqa: E501 # verify the required parameter 'line_id' is set if self.api_client.client_side_validation and ('line_id' not in local_var_params or # noqa: E501 local_var_params['line_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `line_id` when calling `v1_editions_edition_id_lines_line_id_get`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 if 'line_id' in local_var_params: path_params['lineId'] = local_var_params['line_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 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/lines/{lineId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LineTextDTO', # 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 v1_editions_edition_id_text_fragments_get(self, edition_id, **kwargs): # noqa: E501 """Retrieves the ids of all Fragments of all fragments in the given edition of a scroll # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_get(edition_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (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: TextFragmentDataListDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_get_with_http_info(edition_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_get_with_http_info(self, edition_id, **kwargs): # noqa: E501 """Retrieves the ids of all Fragments of all fragments in the given edition of a scroll # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_get_with_http_info(edition_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (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(TextFragmentDataListDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_get`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_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 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TextFragmentDataListDTO', # 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 v1_editions_edition_id_text_fragments_post(self, edition_id, **kwargs): # noqa: E501 """Creates a new text fragment in the given edition of a scroll # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_post(edition_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param CreateTextFragmentDTO create_text_fragment_dto: A JSON object with the details of the new text fragment to be created :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: TextFragmentDataDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_post_with_http_info(edition_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_post_with_http_info(self, edition_id, **kwargs): # noqa: E501 """Creates a new text fragment in the given edition of a scroll # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_post_with_http_info(edition_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param CreateTextFragmentDTO create_text_fragment_dto: A JSON object with the details of the new text fragment to be created :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(TextFragmentDataDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'create_text_fragment_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_post" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_post`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'create_text_fragment_dto' in local_var_params: body_params = local_var_params['create_text_fragment_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TextFragmentDataDTO', # 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 v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves the ids of all Artefacts in the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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: ArtefactDataListDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get_with_http_info(edition_id, text_fragment_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get_with_http_info(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves the ids of all Artefacts in the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get_with_http_info(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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(ArtefactDataListDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'text_fragment_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get`") # noqa: E501 # verify the required parameter 'text_fragment_id' is set if self.api_client.client_side_validation and ('text_fragment_id' not in local_var_params or # noqa: E501 local_var_params['text_fragment_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `text_fragment_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_artefacts_get`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 if 'text_fragment_id' in local_var_params: path_params['textFragmentId'] = local_var_params['text_fragment_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 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments/{textFragmentId}/artefacts', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ArtefactDataListDTO', # 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 v1_editions_edition_id_text_fragments_text_fragment_id_get(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves all signs and their data from the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_get(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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: TextEditionDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_text_fragment_id_get_with_http_info(edition_id, text_fragment_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_text_fragment_id_get_with_http_info(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves all signs and their data from the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_get_with_http_info(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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(TextEditionDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'text_fragment_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_text_fragment_id_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_get`") # noqa: E501 # verify the required parameter 'text_fragment_id' is set if self.api_client.client_side_validation and ('text_fragment_id' not in local_var_params or # noqa: E501 local_var_params['text_fragment_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `text_fragment_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_get`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 if 'text_fragment_id' in local_var_params: path_params['textFragmentId'] = local_var_params['text_fragment_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 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments/{textFragmentId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TextEditionDTO', # 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 v1_editions_edition_id_text_fragments_text_fragment_id_lines_get(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves the ids of all lines in the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_lines_get(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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: LineDataListDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_text_fragment_id_lines_get_with_http_info(edition_id, text_fragment_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_text_fragment_id_lines_get_with_http_info(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Retrieves the ids of all lines in the given textFragmentName # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_lines_get_with_http_info(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Id of the edition (required) :param int text_fragment_id: Id of the text fragment (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(LineDataListDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'text_fragment_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_text_fragment_id_lines_get" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_lines_get`") # noqa: E501 # verify the required parameter 'text_fragment_id' is set if self.api_client.client_side_validation and ('text_fragment_id' not in local_var_params or # noqa: E501 local_var_params['text_fragment_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `text_fragment_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_lines_get`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 if 'text_fragment_id' in local_var_params: path_params['textFragmentId'] = local_var_params['text_fragment_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 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments/{textFragmentId}/lines', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LineDataListDTO', # 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 v1_editions_edition_id_text_fragments_text_fragment_id_put(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Updates the specified text fragment with the submitted properties # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_put(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Edition of the text fragment being updates (required) :param int text_fragment_id: Id of the text fragment being updates (required) :param UpdateTextFragmentDTO update_text_fragment_dto: Details of the updated text fragment :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: TextFragmentDataDTO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.v1_editions_edition_id_text_fragments_text_fragment_id_put_with_http_info(edition_id, text_fragment_id, **kwargs) # noqa: E501 def v1_editions_edition_id_text_fragments_text_fragment_id_put_with_http_info(self, edition_id, text_fragment_id, **kwargs): # noqa: E501 """Updates the specified text fragment with the submitted properties # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.v1_editions_edition_id_text_fragments_text_fragment_id_put_with_http_info(edition_id, text_fragment_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int edition_id: Edition of the text fragment being updates (required) :param int text_fragment_id: Id of the text fragment being updates (required) :param UpdateTextFragmentDTO update_text_fragment_dto: Details of the updated text fragment :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(TextFragmentDataDTO, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = [ 'edition_id', 'text_fragment_id', 'update_text_fragment_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method v1_editions_edition_id_text_fragments_text_fragment_id_put" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'edition_id' is set if self.api_client.client_side_validation and ('edition_id' not in local_var_params or # noqa: E501 local_var_params['edition_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `edition_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_put`") # noqa: E501 # verify the required parameter 'text_fragment_id' is set if self.api_client.client_side_validation and ('text_fragment_id' not in local_var_params or # noqa: E501 local_var_params['text_fragment_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `text_fragment_id` when calling `v1_editions_edition_id_text_fragments_text_fragment_id_put`") # noqa: E501 collection_formats = {} path_params = {} if 'edition_id' in local_var_params: path_params['editionId'] = local_var_params['edition_id'] # noqa: E501 if 'text_fragment_id' in local_var_params: path_params['textFragmentId'] = local_var_params['text_fragment_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'update_text_fragment_dto' in local_var_params: body_params = local_var_params['update_text_fragment_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/v1/editions/{editionId}/text-fragments/{textFragmentId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TextFragmentDataDTO', # 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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0

null

0

1

0

1

0

null

0

8

8df3dd75e110b36aa383d4bad01814cabd8ee178

34

py

Python

dqc_parser/__init__.py

qis-unipr/dqc-circuit

16281861957a50510a3a66e959096e41de872e9c

[ "Apache-2.0" ]

null

dqc_parser/__init__.py

qis-unipr/dqc-circuit

16281861957a50510a3a66e959096e41de872e9c

[ "Apache-2.0" ]

null

dqc_parser/__init__.py

qis-unipr/dqc-circuit

16281861957a50510a3a66e959096e41de872e9c

[ "Apache-2.0" ]

null

from .ast_to_dag import ast_to_dag

34

0.882353

8

34

3.25

0.625

0.384615

0.615385

0

0.088235

34

1

34

0.83871

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1

0

true

0

1

0

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1

0

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1

0

1

0

null

0

1

0

1

0

7

8df45b98b509be4d28210aa0ae247b4ba244817c

156

py

Python

com/suyuening/python/chapter2/Tuple.py

infoplat/BeginningPython

64d7ba3ff3f705a2b531eaa6eb4c83d5fcf4c36a

[ "Apache-2.0" ]

null

com/suyuening/python/chapter2/Tuple.py

infoplat/BeginningPython

64d7ba3ff3f705a2b531eaa6eb4c83d5fcf4c36a

[ "Apache-2.0" ]

null

com/suyuening/python/chapter2/Tuple.py

infoplat/BeginningPython

64d7ba3ff3f705a2b531eaa6eb4c83d5fcf4c36a

[ "Apache-2.0" ]

null

# coding=utf-8 ''' Created on 2015年11月2日 @author: 岳宁 ''' print 1, 2, 3 print (1, 2, 3) print 42, print 3 * (40 + 2) print 3 * (40, +2) print 3 * (40 + 2,)

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21

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156

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null

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1

0

1

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7

5c2c616c946b8cf764d110b2438cfa1415693b0a

265

py

Python

live_cd_scripts/windows_utilman.py

ForbiddenApplePy/applepy

4eb0965f7f634b0f340beee54dce09c12e3e4f54

[ "WTFPL" ]

null

live_cd_scripts/windows_utilman.py

ForbiddenApplePy/applepy

4eb0965f7f634b0f340beee54dce09c12e3e4f54

[ "WTFPL" ]

null

live_cd_scripts/windows_utilman.py

ForbiddenApplePy/applepy

4eb0965f7f634b0f340beee54dce09c12e3e4f54

[ "WTFPL" ]

null

import os def utilman(): os.system( 'mv /mnt/targetDrive/Windows/System32/Utilman.exe /mnt/targetDrive/Windows/System32/Utilman.bak') os.system( 'mv /mnt/targetDrive/Windows/System32/cmd.exe /mnt/targetDrive/Windows/System32/Utilman.exe')

29.444444

105

0.716981

34

265

5.588235

0.382353

0.294737

0.442105

0.610526

0.873684

0.410526

0

0.035242

0.143396

265

8

106

33.125

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0.333333

0

0.333333

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1

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true

0

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0.333333

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1

0

1

0

1

null

0

1

0

10

3090400b9d6de48217c570a38a209fecb1b3db1b

1,697

py

Python

tests/test_fleets_views.py

danilomarto/vltour-api

e9881d9e7b9ea0e890bc4d1f7efd12d08542e343

[ "MIT" ]

null

tests/test_fleets_views.py

danilomarto/vltour-api

e9881d9e7b9ea0e890bc4d1f7efd12d08542e343

[ "MIT" ]

null

tests/test_fleets_views.py

danilomarto/vltour-api

e9881d9e7b9ea0e890bc4d1f7efd12d08542e343

[ "MIT" ]

null

from django.test import SimpleTestCase from django.urls import reverse class TestListFleet(SimpleTestCase): def setUp(self): self.request = self.client.get(reverse("fleets:list_fleet")) def test_status_code(self) -> None: self.assertEqual(self.request.status_code, 200) def test_template_used(self) -> None: self.assertTemplateUsed(self.request, "pages/list_all_cars.html") class TestListOnlyCars(SimpleTestCase): def setUp(self): self.request = self.client.get(reverse("fleets:list_only_cars")) def test_status_code(self) -> None: self.assertEqual(self.request.status_code, 200) class TestListOnlyBus(SimpleTestCase): def setUp(self): self.request = self.client.get(reverse("fleets:list_only_bus")) def test_status_code(self) -> None: self.assertEqual(self.request.status_code, 200) def test_template_used(self) -> None: self.assertTemplateUsed(self.request, "pages/list_all_cars.html") class TestListOnlyMicros(SimpleTestCase): def setUp(self): self.request = self.client.get(reverse("fleets:list_only_micros")) def test_status_code(self) -> None: self.assertEqual(self.request.status_code, 200) def test_template_used(self) -> None: self.assertTemplateUsed(self.request, "pages/list_all_cars.html") class TestListOnlyVan(SimpleTestCase): def setUp(self): self.request = self.client.get(reverse("fleets:list_only_van")) def test_status_code(self) -> None: self.assertEqual(self.request.status_code, 200) def test_template_used(self) -> None: self.assertTemplateUsed(self.request, "pages/list_all_cars.html")

30.854545

74

0.715969

214

1,697

5.490654

0.17757

0.131064

0.091915

0.110638

0.85617

0

0.010616

0.167354

1,697

54

75

31.425926

0.820948

0

0.657143

0

0.116087

0.082499

0

0.257143

1

0.4

false

0

0.057143

0

0.6

0

null

0

1

0

null

0

1

0

1

0

8

30f9104c1e10aa93d505bc8a1d718b70a295974a

148

py

Python

gym/envs/UAV/__init__.py

zachary2wave/UAV-aid-communication

801fe22d839261af43127e31db00f166ed6484a0

[ "MIT" ]

2

2019-12-02T15:36:55.000Z

2022-02-10T11:55:10.000Z

gym/envs/UAV/__init__.py

zachary2wave/UAV-aid-communication

801fe22d839261af43127e31db00f166ed6484a0

[ "MIT" ]

null

gym/envs/UAV/__init__.py

zachary2wave/UAV-aid-communication

801fe22d839261af43127e31db00f166ed6484a0

[ "MIT" ]

2

2019-12-10T00:10:38.000Z

2021-01-07T03:31:38.000Z

from gym.envs.UAV.downlink import Downlink from gym.envs.UAV.downlink_2d import Downlink_2d from gym.envs.UAV.downlink_2d_v2 import Downlink_2d_v2

29.6

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0

1

0

7

eb71d40fc3ce941a8ded242e488e0e749e2dde23

2,905

py

Python

src/bpp/migrations/0030_auto_20150923_1351.py

iplweb/django-bpp

85f183a99d8d5027ae4772efac1e4a9f21675849

[ "BSD-3-Clause" ]

1

2017-04-27T19:50:02.000Z

src/bpp/migrations/0030_auto_20150923_1351.py

mpasternak/django-bpp

434338821d5ad1aaee598f6327151aba0af66f5e

[ "BSD-3-Clause" ]

41

2019-11-07T00:07:02.000Z

2022-02-27T22:09:39.000Z

src/bpp/migrations/0030_auto_20150923_1351.py

iplweb/bpp

f027415cc3faf1ca79082bf7bacd4be35b1a6fdf

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('bpp', '0029_auto_20150923_1343'), ] operations = [ migrations.AddField( model_name='zrodlo', name='openaccess_tryb_dostepu', field=models.CharField(blank=True, max_length=50, verbose_name=b'OpenAccess: tryb dost\xc4\x99pu', db_index=True, choices=[(b'FULL', b'pe\xc5\x82ny'), (b'PARTIAL', b'cz\xc4\x99\xc5\x9bciowy')]), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_ciagle', name='openaccess_czas_publikacji', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: czas udost\xc4\x99pnienia', blank=True, to='bpp.Czas_Udostepnienia_OpenAccess', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_ciagle', name='openaccess_licencja', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: licencja', blank=True, to='bpp.Licencja_OpenAccess', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_ciagle', name='openaccess_tryb_dostepu', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: tryb dost\xc4\x99pu', blank=True, to='bpp.Tryb_OpenAccess_Wydawnictwo_Ciagle', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_ciagle', name='openaccess_wersja_tekstu', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: wersja tekstu', blank=True, to='bpp.Wersja_Tekstu_OpenAccess', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_zwarte', name='openaccess_czas_publikacji', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: czas udost\xc4\x99pnienia', blank=True, to='bpp.Czas_Udostepnienia_OpenAccess', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_zwarte', name='openaccess_licencja', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: licencja', blank=True, to='bpp.Licencja_OpenAccess', null=True), preserve_default=True, ), migrations.AlterField( model_name='wydawnictwo_zwarte', name='openaccess_wersja_tekstu', field=models.ForeignKey(on_delete=models.CASCADE, verbose_name=b'OpenAccess: wersja tekstu', blank=True, to='bpp.Wersja_Tekstu_OpenAccess', null=True), preserve_default=True, ), ]

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null

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1

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null

0

7

eb7274d3f1c880c72d7fac2d3ed3b3694d90383b

2,286

py

Python

client.py

gitcordier/stack_qalculator

08b6615a32fff6f109b190d40e3688f4eebf6366

[ "MIT" ]

null

client.py

gitcordier/stack_qalculator

08b6615a32fff6f109b190d40e3688f4eebf6366

[ "MIT" ]

null

client.py

gitcordier/stack_qalculator

08b6615a32fff6f109b190d40e3688f4eebf6366

[ "MIT" ]

null

import requests # Get all operators #'/rpn/op', method = 'GET' get = requests.get('http://localhost:5000/rpn/op') print('Get all operators:\n ', get.text) # CREATE stacks #'/rpn/stack', method = POST (1) print('Create stacks') post = requests.post('http://localhost:5000/rpn/stack') print(post.text) post = requests.post('http://localhost:5000/rpn/stack') print(post.text) post = requests.post('http://localhost:5000/rpn/stack') print(post.text) post = requests.post('http://localhost:5000/rpn/stack') print(post.text) # Get all stacks #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack') print('Get all stacks:\n', get.text) # Update a given stack #'/rpn/stack', method = POST (2) post = requests.post('http://localhost:5000/rpn/stack', data = {'stack_id': 2, 'value': 10}) print(post.text) post = requests.post('http://localhost:5000/rpn/stack', data = {'stack_id': 2, 'value': 5}) print(post.text) post = requests.post('http://localhost:5000/rpn/stack', data = {'stack_id': 2, 'value': 6}) print(post.text) # Get all stacks #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack') print('Get all stacks:\n', get.text) # Compute # /rpn/stack/<stack_id>', method = GET get = requests.get('http://localhost:5000/rpn/stack/2', params = {'op': '+-'}) print('Computation(s) within a stack:\n', get.text) # Get all stacks #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack') print('Get all stacks:\n', get.text) # Get a specific stack #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack', params = {'stack_id': 2}) print('Get a specific stack:\n', get.text) # Empty stack # /rpn/stack/<stack_id>', method = PUT put = requests.put('http://localhost:5000/rpn/stack/2') print('Empty a given stack:\n', put.text) # Get all stacks #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack') print('Get all stacks:\n', get.text) # Delete stack # #'/rpn/stack', method = DELETE delete = requests.delete('http://localhost:5000/rpn/stack', params = {'stack_id': 2}) print('Delete the stack:\n', delete.text) # Get all stacks #'/rpn/stack', method = GET get = requests.get('http://localhost:5000/rpn/stack') print('Get all stacks:\n', get.text) # #END

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69076d1a106b316982959d69e957201c3eb9212b

14,898

py

Python

sana_pchr/migrations/0001_initial.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

null

sana_pchr/migrations/0001_initial.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

null

sana_pchr/migrations/0001_initial.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

2

2018-06-07T21:54:08.000Z

2018-07-11T20:40:19.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations from sana_pchr.models.fields import * from sana_pchr.crypto import Credential class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='Clinic', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('name', models.CharField(max_length=45)), ('longitude', models.FloatField(null=True, blank=True)), ('latitude', models.FloatField(null=True, blank=True)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Clinic_Physician', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('clinic', models.ForeignKey(db_column='clinic_uuid', to='sana_pchr.Clinic')), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Device', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('name', models.CharField(max_length=45)), ('deviceMAC', models.CharField(max_length=17)), ('key', CredentialField(default=Credential.generate, editable=False)), ('token', models.CharField(max_length=32, default=DefaultFuncs.make_uuid)), ('clinic', models.ForeignKey(db_column='clinic_uuid', blank=True, null=True, to='sana_pchr.Clinic')), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Encounter', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='EncounterCategory', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('displayName', models.CharField(max_length=45)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Patient', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('firstName', models.CharField(max_length=45)), ('lastName', models.CharField(blank=True, max_length=45)), ('UNHCR', models.CharField(blank=True, max_length=45)), ('birthYear', models.CharField(blank=True, max_length=45)), ('birthCity', models.CharField(blank=True, max_length=45)), ('picture', models.ImageField(upload_to='', blank=True)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Patient_Physician', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('patient', models.ForeignKey(db_column='patient_uuid', to='sana_pchr.Patient')), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Physician', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('firstName', models.CharField(max_length=45)), ('lastName', models.CharField(max_length=45)), ('picture', models.ImageField(upload_to='', blank=True)), ('hashedPIN', models.CharField(max_length=128)), ('email', models.EmailField(blank=True, max_length=254)), ('phone', models.CharField(blank=True, max_length=45)), ('recovery_question', models.CharField(blank=True, max_length=45)), ('recovery_answer', models.CharField(blank=True, max_length=45)), ('recovery_key', DerivedCredentialField(null=True, blank=True, editable=False, max_length=128)), ('key', CredentialField(default=Credential.generate, editable=False)), ('clinics', models.ManyToManyField(to='sana_pchr.Clinic', through='sana_pchr.Clinic_Physician')), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Record', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('value', models.CharField(max_length=45)), ('comment', models.TextField(blank=True)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='RecordCategory', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('displayName', models.CharField(max_length=45)), ('recordType', models.IntegerField()), ('resultDataType', models.CharField(blank=True, max_length=45)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Test', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('result', models.CharField(max_length=45)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='TestCategory', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('displayName', models.CharField(max_length=45)), ('resultType', models.IntegerField()), ('resultMin', models.FloatField(blank=True, null=True)), ('resultMax', models.FloatField(blank=True, null=True)), ('resultUnits', models.CharField(blank=True, max_length=45)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='Visit', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.CreateModel( name='VisitCategory', fields=[ ('uuid', UUIDField(primary_key=True, max_length=36, serialize=False, default=DefaultFuncs.make_uuid)), ('created', models.DateTimeField(default=DefaultFuncs.getNow)), ('updated', models.DateTimeField(default=DefaultFuncs.getNow)), ('synchronized', models.DateTimeField(default=DefaultFuncs.getNow)), ('displayName', models.CharField(max_length=45)), ], options={ 'abstract': False, }, bases=(models.Model,), ), migrations.AddField( model_name='visit', name='category', field=models.ForeignKey(db_column='category_uuid', to='sana_pchr.VisitCategory'), preserve_default=True, ), migrations.AddField( model_name='visit', name='patient', field=models.ForeignKey(db_column='patient_uuid', to='sana_pchr.Patient'), preserve_default=True, ), migrations.AddField( model_name='test', name='category', field=models.ForeignKey(db_column='category_uuid', to='sana_pchr.TestCategory'), preserve_default=True, ), migrations.AddField( model_name='test', name='encounter', field=models.ForeignKey(db_column='encounter_uuid', to='sana_pchr.Encounter'), preserve_default=True, ), migrations.AddField( model_name='record', name='category', field=models.ForeignKey(db_column='category_uuid', to='sana_pchr.RecordCategory'), preserve_default=True, ), migrations.AddField( model_name='record', name='encounter', field=models.ForeignKey(db_column='encounter_uuid', to='sana_pchr.Encounter'), preserve_default=True, ), migrations.AddField( model_name='patient_physician', name='physician', field=models.ForeignKey(db_column='physician_uuid', to='sana_pchr.Physician'), preserve_default=True, ), migrations.AddField( model_name='patient', name='physicians', field=models.ManyToManyField(to='sana_pchr.Physician', through='sana_pchr.Patient_Physician'), preserve_default=True, ), migrations.AddField( model_name='encounter', name='category', field=models.ForeignKey(db_column='category_uuid', to='sana_pchr.EncounterCategory'), preserve_default=True, ), migrations.AddField( model_name='encounter', name='clinic', field=models.ForeignKey(db_column='clinic_uuid', to='sana_pchr.Clinic'), preserve_default=True, ), migrations.AddField( model_name='encounter', name='device', field=models.ForeignKey(db_column='device_uuid', to='sana_pchr.Device'), preserve_default=True, ), migrations.AddField( model_name='encounter', name='physician', field=models.ForeignKey(db_column='physician_uuid', to='sana_pchr.Physician'), preserve_default=True, ), migrations.AddField( model_name='encounter', name='visit', field=models.ForeignKey(db_column='visit_uuid', to='sana_pchr.Visit'), preserve_default=True, ), migrations.AddField( model_name='clinic_physician', name='physician', field=models.ForeignKey(db_column='physician_uuid', to='sana_pchr.Physician'), preserve_default=True, ), migrations.AddField( model_name='clinic', name='physicians', field=models.ManyToManyField(to='sana_pchr.Physician', blank=True, through='sana_pchr.Clinic_Physician'), preserve_default=True, ), ]

45.420732

118

0.565445

1,254

14,898

6.58134

0.089314

0.131225

0.132316

0.193384

0.884042

0.861626

0.842966

0.804435

0.78008

0.710893

0

0.007895

0.302859

14,898

327

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45.559633

0.786732

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0

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false

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null

0

1

0

1

0

null

0

8

6924dbec2c7b9de2f27f2e7befae5451f7eb5410

45,666

py

Python

robin_stocks/orders.py

shobnaren/robin_stocks

7f15bd3b73da3c01fe164316b259cc03ffab9ea0

[ "MIT" ]

2

2020-03-29T07:12:33.000Z

2021-01-16T17:27:10.000Z

robin_stocks/orders.py

shobnaren/robin_stocks

7f15bd3b73da3c01fe164316b259cc03ffab9ea0

[ "MIT" ]

null

robin_stocks/orders.py

shobnaren/robin_stocks

7f15bd3b73da3c01fe164316b259cc03ffab9ea0

[ "MIT" ]

null

"""Contains all functions for placing orders for stocks, options, and crypto.""" from uuid import uuid4 import robin_stocks.crypto as crypto import robin_stocks.helper as helper import robin_stocks.options as options import robin_stocks.profiles as profiles import robin_stocks.stocks as stocks import robin_stocks.urls as urls @helper.login_required def get_all_orders(info=None): """Returns a list of all the orders that have been processed for the account. :param info: Will data_filter the results to get a specific value. :type info: Optional[str] :returns: Returns a list of dictionaries of key/value pairs for each order. If info parameter is provided, \ a list of strings is returned where the strings are the value of the key that matches info. """ url = urls.orders() data = helper.request_get(url, 'pagination') return helper.data_filter(data, info) @helper.login_required def get_all_open_orders(info=None): """Returns a list of all the orders that are currently open. :param info: Will data_filter the results to get a specific value. :type info: Optional[str] :returns: Returns a list of dictionaries of key/value pairs for each order. If info parameter is provided, \ a list of strings is returned where the strings are the value of the key that matches info. """ url = urls.orders() data = helper.request_get(url, 'pagination') data = [item for item in data if item['cancel'] is not None] return helper.data_filter(data, info) @helper.login_required def close_all_open_option_positions(symbol=None, _type=None): """ *** WIP: WORK IN PROGRESS *** data_filter by symbol and type 1) cancel all OPEN option orders 2) confirm all OPEN orders cancelled 3) close open "short" options around MID and ASK (target price is median of ASK & MID) 4) ensure all the SHORT options closed 5) close open "long" options around BID and MID 6) ensure all the LONG options closed :param symbol: Optional - when filtered will close all open positions :param _type: put or call or None==both :return: """ open_pos = options.get_open_option_positions() if symbol: open_pos = filter(lambda x: x.get['chain_symbol'] == symbol, open_pos) print(open_pos) cancel_all_open_orders() print("*** DO NOT USE *** WORK IN PROGRESS ***") pass @helper.login_required def get_all_open_option_orders(info=None): """Returns a list of all the orders that are currently open. :param info: Will data_filter the results to get a specific value. :type info: Optional[str] :returns: Returns a list of dictionaries of key/value pairs for each order. If info parameter is provided, \ a list of strings is returned where the strings are the value of the key that matches info. """ url = urls.option_orders() data = helper.request_get(url, 'pagination') data = [item for item in data if item['cancel_url'] is not None] return helper.data_filter(data, info) @helper.login_required def get_order_info(order_id): """Returns the information for a single order. :param order_id: The ID associated with the order. Can be found using get_all_orders(info=None) or get_all_orders(info=None). :type order_id: str :returns: Returns a list of dictionaries of key/value pairs for the order. """ url = urls.orders(order_id) data = helper.request_get(url) return data @helper.login_required def get_option_order_info(order_id): """Returns the information for a single order. :param order_id: The ID associated with the order. Can be found using get_all_orders(info=None) or get_all_orders(info=None). :type order_id: str :returns: Returns a list of dictionaries of key/value pairs for the order. """ url = urls.option_orders(order_id) data = helper.request_get(url) return data @helper.login_required def find_orders(**arguments): """Returns a list of orders that match the keyword parameters. :param arguments: Variable length of keyword arguments. EX. find_orders(symbol='FB',cancel=None,quantity=1) :type arguments: str :returns: Returns a list of orders. """ url = urls.orders() data = helper.request_get(url, 'pagination') if len(arguments) == 0: return data for item in data: item['quantity'] = str(int(float(item['quantity']))) if 'symbol' in arguments.keys(): arguments['instrument'] = stocks.get_instruments_by_symbols(arguments['symbol'], info='url')[0] del arguments['symbol'] if 'quantity' in arguments.keys(): arguments['quantity'] = str(arguments['quantity']) stop = len(arguments.keys()) - 1 list_of_orders = [] for item in data: for i, (key, value) in enumerate(arguments.items()): if key not in item: print(helper.error_argument_not_key_in_dictionary(key)) return [None] if value != item[key]: break if i == stop: list_of_orders.append(item) return list_of_orders @helper.login_required def cancel_all_open_option_orders(): """Cancels all open orders. :returns: The list of orders that were cancelled. """ items = get_all_open_option_orders() for item in items: cancel_url = item.get('cancel_url') helper.request_post(cancel_url) print('All Orders Cancelled') return items @helper.login_required def cancel_all_open_orders(): """Cancels all open orders. :returns: The list of orders that were cancelled. """ url = urls.orders() items = helper.request_get(url, 'pagination') items = [item['id'] for item in items if item['cancel'] is not None] for item in items: cancel_url = urls.cancel(item) helper.request_post(cancel_url) print('All Orders Cancelled') return items @helper.login_required def cancel_order(order_id): """Cancels a specific order. :param order_id: The ID associated with the order. Can be found using get_all_orders(info=None) or get_all_orders(info=None). :type order_id: str :returns: Returns the order information for the order that was cancelled. """ url = urls.cancel(order_id) data = helper.request_post(url) if data: print('Order ' + order_id + ' cancelled') return data @helper.login_required def cancel_option_order(order_id): """Cancels a specific option order. :param order_id: The ID associated with the order. Can be found using get_all_orders(info=None) or get_all_orders(info=None). :type order_id: str :returns: Returns the order information for the order that was cancelled. """ url = urls.option_cancel(order_id) data = helper.request_post(url) if data: print('Order ' + order_id + ' cancelled') return data @helper.login_required def order_buy_market(symbol, quantity, time_in_force='gtc', extended_hours='false'): """Submits a market order to be executed immediately. :param symbol: The stock ticker of the stock to purchase. :type symbol: str :param quantity: The number of stocks to buy. :type quantity: int :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :param extended_hours: Premium users only. Allows trading during extended hours. Should be true or false. :type extended_hours: str :returns: Dictionary that contains information regarding the purchase of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': helper.round_price(stocks.get_latest_price(symbol)[0]), 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'market', 'stop_price': None, 'time_in_force': time_in_force, 'trigger': 'immediate', 'side': 'buy', 'extended_hours': extended_hours } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_buy_limit(symbol, quantity, limit_price, time_in_force='gtc'): """Submits a limit order to be executed once a certain price is reached. :param symbol: The stock ticker of the stock to purchase. :type symbol: str :param quantity: The number of stocks to buy. :type quantity: int :param limit_price: The price to trigger the buy order. :type limit_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the purchase of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() limit_price = helper.round_price(limit_price) except AttributeError as message: print(message) return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': limit_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'limit', 'stop_price': None, 'time_in_force': time_in_force, 'trigger': 'immediate', 'side': 'buy' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_buy_stop_loss(symbol, quantity, stop_price, time_in_force='gtc'): """Submits a stop order to be turned into a market order once a certain stop price is reached. :param symbol: The stock ticker of the stock to purchase. :type symbol: str :param quantity: The number of stocks to buy. :type quantity: int :param stop_price: The price to trigger the market order. :type stop_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the purchase of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() latest_price = helper.round_price(stocks.get_latest_price(symbol)[0]) stop_price = helper.round_price(stop_price) except AttributeError as msg: print(msg) return None if latest_price > stop_price: print('Error: stop_price must be above the current price.') return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': stop_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'market', 'stop_price': stop_price, 'time_in_force': time_in_force, 'trigger': 'stop', 'side': 'buy' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_buy_stop_limit(symbol, quantity, limit_price, stop_price, time_in_force='gtc'): """Submits a stop order to be turned into a limit order once a certain stop price is reached. :param symbol: The stock ticker of the stock to purchase. :type symbol: str :param quantity: The number of stocks to buy. :type quantity: int :param limit_price: The price to trigger the market order. :type limit_price: float :param stop_price: The price to trigger the limit order. :type stop_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the purchase of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() latest_price = helper.round_price(stocks.get_latest_price(symbol)[0]) stop_price = helper.round_price(stop_price) limit_price = helper.round_price(limit_price) except AttributeError as message: print(message) return None if latest_price > stop_price: print('Error: stop_price must be above the current price.') return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': limit_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'limit', 'stop_price': stop_price, 'time_in_force': time_in_force, 'trigger': 'stop', 'side': 'buy' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_sell_market(symbol, quantity, time_in_force='gtc', extended_hours='false'): """Submits a market order to be executed immediately. :param symbol: The stock ticker of the stock to sell. :type symbol: str :param quantity: The number of stocks to sell. :type quantity: int :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :param extended_hours: Premium users only. Allows trading during extended hours. Should be true or false. :type extended_hours: str :returns: Dictionary that contains information regarding the selling of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': helper.round_price(stocks.get_latest_price(symbol)[0]), 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'market', 'stop_price': None, 'time_in_force': time_in_force, 'trigger': 'immediate', 'side': 'sell', 'extended_hours': extended_hours } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_sell_limit(symbol, quantity, limit_price, time_in_force='gtc'): """Submits a limit order to be executed once a certain price is reached. :param symbol: The stock ticker of the stock to sell. :type symbol: str :param quantity: The number of stocks to sell. :type quantity: int :param limit_price: The price to trigger the sell order. :type limit_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() limit_price = helper.round_price(limit_price) except AttributeError as message: print(message) return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': limit_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'limit', 'stop_price': None, 'time_in_force': time_in_force, 'trigger': 'immediate', 'side': 'sell' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_sell_stop_loss(symbol, quantity, stop_price, time_in_force='gtc'): """Submits a stop order to be turned into a market order once a certain stop price is reached. :param symbol: The stock ticker of the stock to sell. :type symbol: str :param quantity: The number of stocks to sell. :type quantity: int :param stop_price: The price to trigger the market order. :type stop_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() latest_price = helper.round_price(stocks.get_latest_price(symbol)[0]) stop_price = helper.round_price(stop_price) except AttributeError as message: print(message) return None if latest_price < stop_price: print('Error: stop_price must be below the current price.') return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': stop_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'market', 'stop_price': stop_price, 'time_in_force': time_in_force, 'trigger': 'stop', 'side': 'sell' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_sell_stop_limit(symbol, quantity, limit_price, stop_price, time_in_force='gtc'): """Submits a stop order to be turned into a limit order once a certain stop price is reached. :param symbol: The stock ticker of the stock to sell. :type symbol: str :param quantity: The number of stocks to sell. :type quantity: int :param limit_price: The price to trigger the market order. :type limit_price: float :param stop_price: The price to trigger the limit order. :type stop_price: float :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() latest_price = helper.round_price(stocks.get_latest_price(symbol)[0]) stop_price = helper.round_price(stop_price) limit_price = helper.round_price(limit_price) except AttributeError as message: print(message) return None if latest_price < stop_price: print('Error: stop_price must be below the current price.') return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': limit_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': 'limit', 'stop_price': stop_price, 'time_in_force': time_in_force, 'trigger': 'stop', 'side': 'sell' } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order(symbol, quantity, order_type, limit_price, stop_price, trigger, side, time_in_force, extended_hours): """A generic order function. All parameters must be supplied. :param symbol: The stock ticker of the stock to sell. :type symbol: str :param quantity: The number of stocks to sell. :type quantity: int :param order_type: Either 'market' or 'limit' :type order_type: str :param limit_price: The price to trigger the market order. :type limit_price: float :param stop_price: The price to trigger the limit or market order. :type stop_price: float :param trigger: Either 'immediate' or 'stop' :type trigger: str :param side: Either 'buy' or 'sell' :type side: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: str :param extended_hours: Premium users only. Allows trading during extended hours. Should be true or false. :type extended_hours: str :returns: Dictionary that contains information regarding the purchase or selling of stocks, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() stop_price = helper.round_price(stop_price) limit_price = helper.round_price(limit_price) except AttributeError as message: print(message) return None payload = { 'account': profiles.load_account_profile(info='url'), 'instrument': stocks.get_instruments_by_symbols(symbol, info='url')[0], 'symbol': symbol, 'price': limit_price, 'quantity': quantity, 'ref_id': str(uuid4()), 'type': order_type, 'stop_price': stop_price, 'time_in_force': time_in_force, 'trigger': trigger, 'side': side, 'extended_hours': extended_hours } url = urls.orders() data = helper.request_post(url, payload) return data @helper.login_required def order_option_credit_spread(price, symbol, quantity, spread, time_in_force='gfd'): """Submits a limit order for an option credit spread. :param price: The limit price to trigger a sell of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to sell. :type quantity: int :param spread: A dictionary of spread options with the following keys: \n - expiration_date: The expiration date of the option in 'YYYY-MM-DD' format.\n - strike: The strike price of the option.\n - option_type: This should be 'call' or 'put' :type spread: dict :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ order_option_spread("credit", price, symbol, quantity, spread, time_in_force) @helper.login_required def order_option_debit_spread(price, symbol, quantity, spread, time_in_force='gfd'): """Submits a limit order for an option credit spread. :param price: The limit price to trigger a sell of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to sell. :type quantity: int :param spread: A dictionary of spread options with the following keys: \n :type spread: dict param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. type expiration_date: str param strike: The strike price of the option. type strike: float param option_type: This should be 'call' or 'put' type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ order_option_spread("debit", price, symbol, quantity, spread, time_in_force) @helper.login_required def order_option_spread(direction, price, symbol, quantity, spread, time_in_force='gfd'): """Submits a limit order for an option spread. i.e. place a debit / credit spread :param direction: credit or debit spread :type direction: str :param price: The limit price to trigger a trade of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to trade. :type quantity: int :param spread: A dictionary of spread options with the following keys: \n :type spread: dict param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. type expiration_date: str param strike: The strike price of the option. type strike: float param option_type: This should be 'call' or 'put' type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ """ param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. type expiration_date: str param strike: The strike price of the option. type strike: float param option_type: This should be 'call' or 'put' type option_type: str """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None legs = [] for each in spread: if each['effect'] == 'close': option_id = options.id_of_options_to_close(symbol, each['expiration_date'], each['strike'], each['option_type']) else: option_id = helper.id_for_option(symbol, each['expiration_date'], each['strike'], each['option_type']) legs.append({'position_effect': each['effect'], 'side': each['action'], 'ratio_quantity': 1, 'option': urls.option_instruments(option_id)}) payload = { 'account': profiles.load_account_profile(info='url'), 'direction': direction, 'time_in_force': time_in_force, 'legs': legs, 'type': 'limit', 'trigger': 'immediate', 'price': price, 'quantity': quantity, 'override_day_trade_checks': False, 'override_dtbp_checks': False, 'ref_id': str(uuid4()), } url = urls.option_orders() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_option_buy_to_open(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): order_buy_option_limit(price, symbol, quantity, expiration_date, strike, option_type, time_in_force) @helper.login_required def order_buy_option_limit(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): """Submits a limit order for an option. i.e. place a long call or a long put. :param price: The limit price to trigger a buy of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to buy. :type quantity: int :param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. :type expiration_date: str :param strike: The strike price of the option. :type strike: float :param option_type: This should be 'call' or 'put' :type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None option_id = helper.id_for_option(symbol, expiration_date, str(strike), option_type) payload = { 'account': profiles.load_account_profile(info='url'), 'direction': 'debit', 'time_in_force': time_in_force, 'legs': [ {'position_effect': 'open', 'side': 'buy', 'ratio_quantity': 1, 'option': urls.option_instruments(option_id)}, ], 'type': 'limit', 'trigger': 'immediate', 'price': price, 'quantity': quantity, 'override_day_trade_checks': False, 'override_dtbp_checks': False, 'ref_id': str(uuid4()), } url = urls.option_orders() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_option_sell_to_close(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): """ all close option order - do the lookup on the existing positions :param price: :param symbol: :param quantity: :param expiration_date: :param strike: :param option_type: :param time_in_force: :return: """ _id = options.id_of_options_to_close(symbol, expiration_date, strike, option_type, count=quantity, _type='long') if _id: return order_option_by_id(_id, price, quantity, direction='credit', effect='close', side='sell', time_in_force=time_in_force) @helper.login_required def order_option_by_id(option_id, price, quantity, direction='credit', effect='close', side='sell', time_in_force='gfd'): """ :param option_id: :param price: :param quantity: :param direction: :param effect: :param side: :param time_in_force: :return: """ payload = { 'account': profiles.load_account_profile(info='url'), 'direction': direction, 'time_in_force': time_in_force, 'legs': [ {'position_effect': effect, 'side': side, 'ratio_quantity': 1, 'option': urls.option_instruments(option_id)}, ], 'type': 'limit', 'trigger': 'immediate', 'price': price, 'quantity': quantity, 'override_day_trade_checks': False, 'override_dtbp_checks': False, 'ref_id': str(uuid4()), } url = urls.option_orders() data = helper.request_post(url, payload, json=True) print(data) return data @helper.login_required def order_sell_option_limit(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): """Submits a limit order for an option. i.e. place a short call or a short put. :param price: The limit price to trigger a sell of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to sell. :type quantity: int :param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. :type expiration_date: str :param strike: The strike price of the option. :type strike: float :param option_type: This should be 'call' or 'put' :type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None option_id = helper.id_for_option(symbol, expiration_date, str(strike), option_type) payload = { 'account': profiles.load_account_profile(info='url'), 'direction': 'credit', 'time_in_force': time_in_force, 'legs': [ {'position_effect': 'close', 'side': 'sell', 'ratio_quantity': 1, 'option': urls.option_instruments(option_id)}, ], 'type': 'limit', 'trigger': 'immediate', 'price': price, 'quantity': quantity, 'override_day_trade_checks': False, 'override_dtbp_checks': False, 'ref_id': str(uuid4()), } url = urls.option_orders() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_option_buy_to_close(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): """Submits a limit order for an option. i.e. place a long call or a long put. :param price: The limit price to trigger a buy of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to buy. :type quantity: int :param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. :type expiration_date: str :param strike: The strike price of the option. :type strike: float :param option_type: This should be 'call' or 'put' :type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ _id = options.id_of_options_to_close(symbol, expiration_date, strike, option_type, count=quantity, _type='short') if _id: order_option_by_id(_id, price, quantity, direction='debit', effect='close', side='buy', time_in_force=time_in_force) @helper.login_required def order_option_sell_to_open(price, symbol, quantity, expiration_date, strike, option_type='both', time_in_force='gfd'): """Submits a limit order for an option. i.e. place a short call or a short put. :param price: The limit price to trigger a sell of the option. :type price: float :param symbol: The stock ticker of the stock to trade. :type symbol: str :param quantity: The number of options to sell. :type quantity: int :param expiration_date: The expiration date of the option in 'YYYY-MM-DD' format. :type expiration_date: str :param strike: The strike price of the option. :type strike: float :param option_type: This should be 'call' or 'put' :type option_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None option_id = helper.id_for_option(symbol, expiration_date, str(strike), option_type) payload = { 'account': profiles.load_account_profile(info='url'), 'direction': 'credit', 'time_in_force': time_in_force, 'legs': [ {'position_effect': 'open', 'side': 'sell', 'ratio_quantity': 1, 'option': urls.option_instruments(option_id)}, ], 'type': 'limit', 'trigger': 'immediate', 'price': price, 'quantity': quantity, 'override_day_trade_checks': False, 'override_dtbp_checks': False, 'ref_id': str(uuid4()), } url = urls.option_orders() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_buy_crypto_by_price(symbol, amount_in_dollars, price_type='ask_price', time_in_force='gtc'): """Submits a market order for a crypto by specifying the amount in dollars that you want to trade. Good for share fractions up to 8 decimal places. :param symbol: The crypto ticker of the crypto to trade. :type symbol: str :param amount_in_dollars: The amount in dollars of the crypto you want to buy. :type amount_in_dollars: float :param price_type: The type of price to get. Can be 'ask_price', 'bid_price', or 'mark_price' :type price_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None crypto_info = crypto.get_crypto_info(symbol) price = helper.round_price(crypto.get_crypto_quote_from_id(crypto_info['id'], info=price_type)) # turn the money amount into decimal number of shares try: shares = round(amount_in_dollars / price, 8) except Exception as e: print(repr(e)) shares = 0 payload = { 'mimeType': 'application/json', 'account_id': crypto.load_crypto_profile(info="id"), 'currency_pair_id': crypto_info['id'], 'price': price, 'quantity': shares, 'ref_id': str(uuid4()), 'side': 'buy', 'time_in_force': time_in_force, 'type': 'market' } url = urls.order_crypto() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_buy_crypto_by_quantity(symbol, quantity, price_type='ask_price', time_in_force='gtc'): """Submits a market order for a crypto by specifying the decimal amount of shares to buy. Good for share fractions up to 8 decimal places. :param symbol: The crypto ticker of the crypto to trade. :type symbol: str :param quantity: The decimal amount of shares to buy. :type quantity: float :param price_type: The type of price to get. Can be 'ask_price', 'bid_price', or 'mark_price' :type price_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ crypto_info = crypto.get_crypto_info(symbol) price = helper.round_price(crypto.get_crypto_quote_from_id(crypto_info['id'], info=price_type)) payload = { 'account_id': crypto.load_crypto_profile(info="id"), 'currency_pair_id': crypto_info['id'], 'price': price, 'quantity': quantity, 'ref_id': str(uuid4()), 'side': 'buy', 'time_in_force': time_in_force, 'type': 'market' } url = urls.order_crypto() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_sell_crypto_by_price(symbol, amount_in_dollars, price_type='ask_price', time_in_force='gtc'): """Submits a market order for a crypto by specifying the amount in dollars that you want to trade. Good for share fractions up to 8 decimal places. :param symbol: The crypto ticker of the crypto to trade. :type symbol: str :param amount_in_dollars: The amount in dollars of the crypto you want to sell. :type amount_in_dollars: float :param price_type: The type of price to get. Can be 'ask_price', 'bid_price', or 'mark_price' :type price_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ try: symbol = symbol.upper().strip() except AttributeError as message: print(message) return None crypto_info = crypto.get_crypto_info(symbol) price = helper.round_price(crypto.get_crypto_quote_from_id(crypto_info['id'], info=price_type)) # turn the money amount into decimal number of shares try: shares = round(amount_in_dollars / float(price), 8) except Exception as e: print(repr(e)) shares = 0 payload = { 'account_id': crypto.load_crypto_profile(info="id"), 'currency_pair_id': crypto_info['id'], 'price': price, 'quantity': shares, 'ref_id': str(uuid4()), 'side': 'sell', 'time_in_force': time_in_force, 'type': 'market' } url = urls.order_crypto() data = helper.request_post(url, payload, json=True) return data @helper.login_required def order_sell_crypto_by_quantity(symbol, quantity, price_type='ask_price', time_in_force='gtc'): """Submits a market order for a crypto by specifying the decimal amount of shares to buy. Good for share fractions up to 8 decimal places. :param symbol: The crypto ticker of the crypto to trade. :type symbol: str :param quantity: The decimal amount of shares to sell. :type quantity: float :param price_type: The type of price to get. Can be 'ask_price', 'bid_price', or 'mark_price' :type price_type: str :param time_in_force: Changes how long the order will be in effect for. 'gtc' = good until cancelled. \ 'gfd' = good for the day. 'ioc' = immediate or cancel. 'opg' execute at opening. :type time_in_force: Optional[str] :returns: Dictionary that contains information regarding the selling of options, \ such as the order id, the state of order (queued,confired,filled, failed, canceled, etc.), \ the price, and the quantity. """ crypto_info = crypto.get_crypto_info(symbol) price = helper.round_price(crypto.get_crypto_quote_from_id(crypto_info['id'], info=price_type)) payload = { 'account_id': crypto.load_crypto_profile(info="id"), 'currency_pair_id': crypto_info['id'], 'price': price, 'quantity': quantity, 'ref_id': str(uuid4()), 'side': 'sell', 'time_in_force': time_in_force, 'type': 'market' } url = urls.order_crypto() data = helper.request_post(url, payload, json=True) return data

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692be55bf70b16b764b85c00c2dd64b4fa5d9235

22,562

py

Python

tests/unit/test_villages.py

didadadida93/tkpy

c8cc41e2115cca7d975a68e418c462a4da3232a9

[ "MIT" ]

1

2019-11-12T12:56:54.000Z

tests/unit/test_villages.py

didadadida93/tkpy

c8cc41e2115cca7d975a68e418c462a4da3232a9

[ "MIT" ]

1

2019-02-16T17:06:04.000Z

2019-02-16T20:53:05.000Z

tests/unit/test_villages.py

didadadida93/tkpy

c8cc41e2115cca7d975a68e418c462a4da3232a9

[ "MIT" ]

5

2018-12-23T14:52:32.000Z

2021-07-17T06:11:15.000Z

from tkpy.villages import Villages from tkpy.exception import QueueFull from tkpy.exception import VillageNotFound from tkpy.exception import BuildingSlotFull from tkpy.exception import BuildingAtMaxLevel from tkpy.exception import WarehouseNotEnough from tkpy.exception import FailedConstructBuilding from tkpy.enums.tribe import Tribe from tkpy.enums.building import BuildingType import unittest import requests_mock import pickle import json class TestVillages(unittest.TestCase): def testing_villages(self): g = None v = None villages_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() self.assertEqual(v["001"].name, "001") self.assertEqual(len(list(x for x in v)), 2) self.assertEqual(len(list(v.keys())), 2) self.assertEqual(len(list(v.items())), 2) self.assertEqual(len(list(v.values())), 2) with self.assertRaises(VillageNotFound): v["village not found"] cv = v.get_capital_village() self.assertEqual(cv.name, "001") class TestVillage(unittest.TestCase): def testing_property_village(self): g = None v = None villages_raw = {} village_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/village_raw.json", "r") as f: village_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() v1 = v["001"] self.assertEqual(v1["name"], "001") self.assertEqual(v1.id, 538230818) self.assertEqual(v1.name, "001") self.assertEqual(v1.coordinate, (-24, -13)) self.assertTrue(v1.is_main_village) with self.assertRaises(KeyError): v1["key error"] with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=village_raw ) v1.pull() self.assertEqual(v1["name"], "001") self.assertEqual(v1.id, 536461288) self.assertEqual(v1.name, "001") self.assertEqual(v1.coordinate, (-24, -13)) self.assertTrue(v1.is_main_village) with self.assertRaises(KeyError): v1["key error"] def testing_village_send_attack(self): g = None v = None villages_raw = {} raw_rally_point = {} raw_check_target = {} send_troops_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/raw_rally_point.json", "r") as f: raw_rally_point = json.load(f) with open("./tests/unit/fixtures/raw_check_target.json", "r") as f: raw_check_target = json.load(f) with open("./tests/unit/fixtures/send_troops_raw.json", "r") as f: send_troops_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": raw_rally_point}, {"json": raw_check_target}, {"json": send_troops_raw}, ], ) r = v["001"].send_attack(1, 1) self.assertEqual(r, send_troops_raw) def testing_village_send_raid(self): g = None v = None villages_raw = {} raw_rally_point = {} raw_check_target = {} send_troops_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/raw_rally_point.json", "r") as f: raw_rally_point = json.load(f) with open("./tests/unit/fixtures/raw_check_target.json", "r") as f: raw_check_target = json.load(f) with open("./tests/unit/fixtures/send_troops_raw.json", "r") as f: send_troops_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": raw_rally_point}, {"json": raw_check_target}, {"json": send_troops_raw}, ], ) r = v["001"].send_raid(1, 1) self.assertEqual(r, send_troops_raw) def testing_village_send_defend(self): g = None v = None villages_raw = {} raw_rally_point = {} raw_check_target = {} send_troops_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/raw_rally_point.json", "r") as f: raw_rally_point = json.load(f) with open("./tests/unit/fixtures/raw_check_target.json", "r") as f: raw_check_target = json.load(f) with open("./tests/unit/fixtures/send_troops_raw.json", "r") as f: send_troops_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": raw_rally_point}, {"json": raw_check_target}, {"json": send_troops_raw}, ], ) r = v["001"].send_defend(1, 1) self.assertEqual(r, send_troops_raw) def testing_village_send_spy(self): g = None v = None villages_raw = {} raw_rally_point = {} raw_check_target = {} send_troops_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/raw_rally_point.json", "r") as f: raw_rally_point = json.load(f) with open("./tests/unit/fixtures/raw_check_target.json", "r") as f: raw_check_target = json.load(f) with open("./tests/unit/fixtures/send_troops_raw.json", "r") as f: send_troops_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": raw_rally_point}, {"json": raw_check_target}, {"json": send_troops_raw}, ], ) r = v["001"].send_spy(1, 1) self.assertEqual(r, send_troops_raw) def testing_village_send_siege(self): g = None v = None villages_raw = {} raw_rally_point = {} raw_check_target = {} send_troops_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/raw_rally_point.json", "r") as f: raw_rally_point = json.load(f) with open("./tests/unit/fixtures/raw_check_target.json", "r") as f: raw_check_target = json.load(f) with open("./tests/unit/fixtures/send_troops_raw.json", "r") as f: send_troops_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": raw_rally_point}, {"json": raw_check_target}, {"json": send_troops_raw}, ], ) r = v["001"].send_siege(1, 1) self.assertEqual(r, send_troops_raw) def testing_village_send_farmlist(self): g = None v = None villages_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [{"json": villages_raw}, {"json": {"mock": "mocked"}}], ) v = Villages(g) v.pull() r = v["001"].send_farmlist([123]) self.assertEqual(r, {"mock": "mocked"}) def testing_village_upgrade(self): g = None v = None villages_raw = {} village_raw = {} buildings_raw = {} building_queue_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/village_raw.json", "r") as f: village_raw = json.load(f) with open("./tests/unit/fixtures/buildings_raw.json", "r") as f: buildings_raw = json.load(f) with open("./tests/unit/fixtures/building_queue_raw.json", "r") as f: building_queue_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].upgrade(BuildingType.MAIN_BUILDING) self.assertEqual(r, {"mock": "mocked"}) for x in buildings_raw["cache"][0]["data"]["cache"]: if x["data"]["buildingType"] == "1": x["data"]["upgradeCosts"] = {"1": 0, "2": 0, "3": 0, "4": 0} with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].upgrade(BuildingType.WOODCUTTER) self.assertEqual(r, {"mock": "mocked"}) buildings_raw["cache"][0]["data"]["cache"][0]["data"]["upgradeCosts"][ "1" ] = 999999999 with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(WarehouseNotEnough): r = v["001"].upgrade(BuildingType.MAIN_BUILDING) v["001"].client.tribe_id = Tribe.ROMAN with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].upgrade(BuildingType.WOODCUTTER) self.assertEqual(r, {"mock": "mocked"}) building_queue_raw["cache"][0]["data"]["freeSlots"]["2"] = 0 with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].upgrade(BuildingType.WOODCUTTER) building_queue_raw["cache"][0]["data"]["freeSlots"]["4"] = 0 with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(QueueFull): r = v["001"].upgrade(BuildingType.WOODCUTTER) buildings_raw["cache"][0]["data"]["cache"][0]["data"]["isMaxLvl"] = True with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(BuildingAtMaxLevel): r = v["001"].upgrade(BuildingType.MAIN_BUILDING) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(Exception): r = v["001"].upgrade(BuildingType.SMITHY) def testing_village_construct(self): g = None v = None villages_raw = {} village_raw = {} buildings_raw = {} building_queue_raw = {} construction_list_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with open("./tests/unit/fixtures/village_raw.json", "r") as f: village_raw = json.load(f) with open("./tests/unit/fixtures/buildings_raw.json", "r") as f: buildings_raw = json.load(f) with open("./tests/unit/fixtures/building_queue_raw.json", "r") as f: building_queue_raw = json.load(f) with open("./tests/unit/fixtures/construction_list_raw.json", "r") as f: construction_list_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(KeyError): r = v["001"].construct(BuildingType.STABLE) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": construction_list_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].construct(BuildingType.SMITHY) self.assertEqual(r, {"mock": "mocked"}) construction_list_raw["response"]["buildings"]["buildable"][0][ "upgradeCosts" ] = {"1": 0, "2": 0, "3": 0, "4": 0} with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": construction_list_raw}, {"json": {"mock": "mocked"}}, ], ) r = v["001"].construct(BuildingType.SMITHY) self.assertEqual(r, {"mock": "mocked"}) construction_list_raw["response"]["buildings"]["buildable"][0][ "upgradeCosts" ] = {"1": 0, "2": 0, "3": 0, "4": 9999999999} with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": construction_list_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(WarehouseNotEnough): r = v["001"].construct(BuildingType.SMITHY) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": construction_list_raw}, {"json": {"mock": "mocked"}}, ], ) with self.assertRaises(FailedConstructBuilding): r = v["001"].construct(BuildingType.STABLE) for x in buildings_raw["cache"][0]["data"]["cache"]: x["data"]["buildingType"] = "1" with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", [ {"json": village_raw}, {"json": buildings_raw}, {"json": building_queue_raw}, {"json": construction_list_raw}, ], ) with self.assertRaises(BuildingSlotFull): r = v["001"].construct(BuildingType.SMITHY) class TestWarehouse(unittest.TestCase): def testing_warehouse(self): g = None v = None villages_raw = {} with open("./tests/unit/fixtures/pickled_driver.py", "rb") as f: g = pickle.load(f) with open("./tests/unit/fixtures/villages_raw.json", "r") as f: villages_raw = json.load(f) with requests_mock.mock() as mock: mock.register_uri( "POST", "https://com1.kingdoms.com/api/", json=villages_raw ) v = Villages(g) v.pull() v1 = v["001"] self.assertEqual( v1.warehouse.storage, { "1": 929.07843923224, "2": 712.9796366545, "3": 691.80224180989, "4": 641.28190453036, }, ) self.assertEqual( v1.warehouse.production, {"1": 1290, "2": 990, "3": 960, "4": 890} ) self.assertEqual( v1.warehouse.capacity, {"1": 22500, "2": 22500, "3": 22500, "4": 15000} ) self.assertEqual(v1.warehouse.wood, "929.07843923224/22500 1290") self.assertEqual(v1.warehouse.clay, "712.9796366545/22500 990") self.assertEqual(v1.warehouse.iron, "691.80224180989/22500 960") self.assertEqual(v1.warehouse.crop, "641.28190453036/15000 890") self.assertEqual(v1.warehouse["1"], 929.07843923224) self.assertEqual(v1.warehouse["wood"], 929.07843923224) with self.assertRaises(KeyError): v1.warehouse["key error"] if __name__ == "__main__": unittest.main()

33.474777

83

0.494726

2,393

22,562

4.493105

0.061847

0.061849

0.054408

0.07115

0.856213

0.838542

0.817243

0.795201

0.789249

0.771763

0

0.03242

0.364285

22,562

673

84

33.524517

0.717214

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0.085562

1

0.019608

false

0

0.023173

0

0.048128

0

null

0

1

0

1

0

null

0

7

ba336f482eedd1a8c155e51e268009119a196519

26

py

Python

cb1521_script.py

estellespanneut/example-open-source-repo-2021

413735c3aac710999229970736553c393b23a49f

[ "MIT" ]

null

cb1521_script.py

estellespanneut/example-open-source-repo-2021

413735c3aac710999229970736553c393b23a49f

[ "MIT" ]

1

2021-06-15T23:05:23.000Z

cb1521_script.py

estellespanneut/example-open-source-repo-2021

413735c3aac710999229970736553c393b23a49f

[ "MIT" ]

78

2021-03-15T21:54:31.000Z

2021-07-28T05:41:32.000Z

print("Hello hello hello")

26

0.769231

4

26

5

0.5

1

0

0.076923

26

1

26

0.833333

0

0.62963

0

1

0

true

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

ba946b852a859c5028364dc6a68f879bfbe7918d

302

py

Python

pymt_landlab/__init__.py

pymt-lab/pymt_landlab

9914c0e1a57cc1ffcde12aa220ed75b9813b7641

[ "MIT" ]

null

pymt_landlab/__init__.py

pymt-lab/pymt_landlab

9914c0e1a57cc1ffcde12aa220ed75b9813b7641

[ "MIT" ]

null

pymt_landlab/__init__.py

pymt-lab/pymt_landlab

9914c0e1a57cc1ffcde12aa220ed75b9813b7641

[ "MIT" ]

null

#! /usr/bin/env python from .bmi import (OverlandFlow,Flexure,LinearDiffuser,ExponentialWeatherer,TransportLengthHillslopeDiffuser,Vegetation,SoilMoisture, ) __all__ = ["OverlandFlow","Flexure","LinearDiffuser","ExponentialWeatherer","TransportLengthHillslopeDiffuser","Vegetation","SoilMoisture", ]

37.75

139

0.824503

22

302

11.136364

0.681818

0.155102

0.269388

0.432653

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7

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0

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1

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null

0

8

baad43ee2c5715a3f5362349607f34d0ef8aaf56

29,030

py

Python

src/solidity_types.py

mimirblockchainsolutions/w3aio

ec5880a53970bf3946c5feaa2c20119b48fb77d1

[ "MIT" ]

3

2018-10-18T18:43:31.000Z

2020-10-01T23:45:20.000Z

src/solidity_types.py

mimirblockchainsolutions/w3aio

ec5880a53970bf3946c5feaa2c20119b48fb77d1

[ "MIT" ]

null

src/solidity_types.py

mimirblockchainsolutions/w3aio

ec5880a53970bf3946c5feaa2c20119b48fb77d1

[ "MIT" ]

null

from .hextools import ( check_length_eq, checkHex, pad, to_hex, trim0x, ) from .keccak import keccak from .soliditykeccak import solidityKeccak from .exceptions import (BadInitialType, BadComparisonType) import binascii import codecs import logging log = logging.getLogger(__name__) #TODO int Types #TODO fixed types #TODO bytes #TODO string #TODO dynamic? class Bytes32(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 64 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) else: raise BadInitialType def _init_with_string(self,_data): _data=trim0x(_data) check_length_eq(_data,self._length) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def as_int(self): return int(self._data,16) def hash(self): _data = keccak(self.as_str()) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_bytes() class Bytes16(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 32 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) else: raise BadInitialType def _init_with_string(self,_data): _data=trim0x(_data) check_length_eq(_data,self._length) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def as_int(self): return int(self._data,16) def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_bytes() class Bytes8(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 16 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) else: raise BadInitialType def _init_with_string(self,_data): _data=trim0x(_data) check_length_eq(_data,self._length) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def as_int(self): return int(self._data,16) def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_bytes() class Bytes4(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 8 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) else: raise BadInitialType def _init_with_string(self,_data): _data=trim0x(_data) check_length_eq(_data,self._length) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def as_int(self): return int(self._data,16) def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_bytes() class Address(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 40 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) else: raise BadInitialType def _init_with_string(self,_data): _data=trim0x(_data) check_length_eq(_data,self._length) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def as_int(self): return int(self._data,16) def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_str() class Uint256(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 64 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int() class Uint128(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 2 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int() class Uint64(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 16 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int() class Uint32(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 8 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int() class Uint16(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 4 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int() class Uint8(object): __slots__ = ["_data","_length"] def __init__(self, _data): self._length = 2 if type(_data) == bytes: self._init_with_bytes(_data) elif type(_data) == str: self._init_with_string(_data) elif type(_data) == int: self._init_with_int(_data) else: raise BadInitialType assert self.as_int()< 2**(int(self._length*4)),"Number too large." assert self.as_int()>= 0,"Unsigned means positive. Try again." def _init_with_string(self,_data): _data=trim0x(_data) _data = pad(_data,self._length) if type(_data) is str: checkHex(_data) self._data = _data else: raise BadInitialType def _init_with_bytes(self,_data): _data = codecs.decode(binascii.hexlify(_data),'utf-8') self._init_with_string(_data) def _init_with_int(self,_data): _data = hex(_data) _data = trim0x(_data) _data = pad(_data,self._length) self._init_with_string(_data) def _isinstance(self,other): if not self.__class__.__name__ == other.__class__.__name__: log.error('TYPE ERROR') raise BadComparisonType return other def as_int(self): return int(self._data,16) def as_bytes(self): return binascii.unhexlify(self._data) def as_str(self): return '0x'+self._data def hash(self): _data = keccak(trim0x(self.as_str())) return Bytes32(_data) def __len__(self): return len(self._data) def __str__(self): return self.as_str() def __eq__(self, other): other = self._isinstance(other) return self.as_int() == other.as_int() def __le__(self, other): other = self._isinstance(other) return self.as_int() <= other.as_int() def __ge__(self, other): other = self._isinstance(other) return self.as_int() >= other.as_int() def __gt__(self, other): other = self._isinstance(other) return self.as_int() > other.as_int() def __lt__(self, other): other = self._isinstance(other) return self.as_int() < other.as_int() def __add__(self, other): other = self._isinstance(other) out = other.as_int()+self.as_int() return self._build(out) def __sub__(self, other): other = self._isinstance(other) out = other.as_int()-self.as_int() return self._build(out) def __mul__(self, other): other = self._isinstance(other) out = other.as_int() * self.as_int() return self._build(out) def _build(self,_data): return type(self)(_data) def __repr__(self): return self.as_str() def __hash__(self): cls_hash = Bytes32(keccak(to_hex(self.__class__.__name__))) data_hash = self.hash() ident_hash = solidityKeccak([cls_hash,data_hash]) return int(trim0x(ident_hash),16) def __index__(self): return self.as_int() def replace(self,rep,val): return self.as_str().replace(rep,val) def encode(self): return self.as_int()

26.929499

74

0.600551

3,627

29,030

4.316239

0.028122

0.045034

0.065155

0.060939

0.976557

0.976365

0

0.009761

0.283603

29,030

1,077

75

26.954503

0.742992

0.002205

0

0.967153

0

0.021788

0

0.000929

0.014599

1

0.273723

false

0

0.008516

0.121655

0.53528

0

null

0

1

0

1

0

null

0

1

0

1

0

10

baaf7151cd9e7215ef2344c5ccc18a5319d48a18

21,509

py

Python

sdk/python/pulumi_alicloud/apigateway/_inputs.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/apigateway/_inputs.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/apigateway/_inputs.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__ = [ 'ApiConstantParameterArgs', 'ApiFcServiceConfigArgs', 'ApiHttpServiceConfigArgs', 'ApiHttpVpcServiceConfigArgs', 'ApiMockServiceConfigArgs', 'ApiRequestConfigArgs', 'ApiRequestParameterArgs', 'ApiSystemParameterArgs', ] @pulumi.input_type class ApiConstantParameterArgs: def __init__(__self__, *, in_: pulumi.Input[str], name: pulumi.Input[str], value: pulumi.Input[str], description: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] in_: System parameter location; values: 'HEAD' and 'QUERY'. :param pulumi.Input[str] name: System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) :param pulumi.Input[str] value: Constant parameter value. :param pulumi.Input[str] description: The description of Constant parameter. """ pulumi.set(__self__, "in_", in_) pulumi.set(__self__, "name", name) pulumi.set(__self__, "value", value) if description is not None: pulumi.set(__self__, "description", description) @property @pulumi.getter(name="in") def in_(self) -> pulumi.Input[str]: """ System parameter location; values: 'HEAD' and 'QUERY'. """ return pulumi.get(self, "in_") @in_.setter def in_(self, value: pulumi.Input[str]): pulumi.set(self, "in_", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ Constant parameter value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of Constant parameter. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @pulumi.input_type class ApiFcServiceConfigArgs: def __init__(__self__, *, function_name: pulumi.Input[str], region: pulumi.Input[str], service_name: pulumi.Input[str], timeout: pulumi.Input[int], arn_role: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] function_name: The function name of function compute service. :param pulumi.Input[str] region: The region that the function compute service belongs to. :param pulumi.Input[str] service_name: The service name of function compute service. :param pulumi.Input[int] timeout: Backend service time-out time; unit: millisecond. :param pulumi.Input[str] arn_role: RAM role arn attached to the Function Compute service. This governs both who / what can invoke your Function, as well as what resources our Function has access to. See [User Permissions](https://www.alibabacloud.com/help/doc-detail/52885.htm) for more details. """ pulumi.set(__self__, "function_name", function_name) pulumi.set(__self__, "region", region) pulumi.set(__self__, "service_name", service_name) pulumi.set(__self__, "timeout", timeout) if arn_role is not None: pulumi.set(__self__, "arn_role", arn_role) @property @pulumi.getter(name="functionName") def function_name(self) -> pulumi.Input[str]: """ The function name of function compute service. """ return pulumi.get(self, "function_name") @function_name.setter def function_name(self, value: pulumi.Input[str]): pulumi.set(self, "function_name", value) @property @pulumi.getter def region(self) -> pulumi.Input[str]: """ The region that the function compute service belongs to. """ return pulumi.get(self, "region") @region.setter def region(self, value: pulumi.Input[str]): pulumi.set(self, "region", value) @property @pulumi.getter(name="serviceName") def service_name(self) -> pulumi.Input[str]: """ The service name of function compute service. """ return pulumi.get(self, "service_name") @service_name.setter def service_name(self, value: pulumi.Input[str]): pulumi.set(self, "service_name", value) @property @pulumi.getter def timeout(self) -> pulumi.Input[int]: """ Backend service time-out time; unit: millisecond. """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: pulumi.Input[int]): pulumi.set(self, "timeout", value) @property @pulumi.getter(name="arnRole") def arn_role(self) -> Optional[pulumi.Input[str]]: """ RAM role arn attached to the Function Compute service. This governs both who / what can invoke your Function, as well as what resources our Function has access to. See [User Permissions](https://www.alibabacloud.com/help/doc-detail/52885.htm) for more details. """ return pulumi.get(self, "arn_role") @arn_role.setter def arn_role(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn_role", value) @pulumi.input_type class ApiHttpServiceConfigArgs: def __init__(__self__, *, address: pulumi.Input[str], method: pulumi.Input[str], path: pulumi.Input[str], timeout: pulumi.Input[int], aone_name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] address: The address of backend service. :param pulumi.Input[str] method: The http method of backend service. :param pulumi.Input[str] path: The path of backend service. :param pulumi.Input[int] timeout: Backend service time-out time; unit: millisecond. """ pulumi.set(__self__, "address", address) pulumi.set(__self__, "method", method) pulumi.set(__self__, "path", path) pulumi.set(__self__, "timeout", timeout) if aone_name is not None: pulumi.set(__self__, "aone_name", aone_name) @property @pulumi.getter def address(self) -> pulumi.Input[str]: """ The address of backend service. """ return pulumi.get(self, "address") @address.setter def address(self, value: pulumi.Input[str]): pulumi.set(self, "address", value) @property @pulumi.getter def method(self) -> pulumi.Input[str]: """ The http method of backend service. """ return pulumi.get(self, "method") @method.setter def method(self, value: pulumi.Input[str]): pulumi.set(self, "method", value) @property @pulumi.getter def path(self) -> pulumi.Input[str]: """ The path of backend service. """ return pulumi.get(self, "path") @path.setter def path(self, value: pulumi.Input[str]): pulumi.set(self, "path", value) @property @pulumi.getter def timeout(self) -> pulumi.Input[int]: """ Backend service time-out time; unit: millisecond. """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: pulumi.Input[int]): pulumi.set(self, "timeout", value) @property @pulumi.getter(name="aoneName") def aone_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aone_name") @aone_name.setter def aone_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aone_name", value) @pulumi.input_type class ApiHttpVpcServiceConfigArgs: def __init__(__self__, *, method: pulumi.Input[str], name: pulumi.Input[str], path: pulumi.Input[str], timeout: pulumi.Input[int], aone_name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] method: The http method of backend service. :param pulumi.Input[str] name: System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) :param pulumi.Input[str] path: The path of backend service. :param pulumi.Input[int] timeout: Backend service time-out time; unit: millisecond. """ pulumi.set(__self__, "method", method) pulumi.set(__self__, "name", name) pulumi.set(__self__, "path", path) pulumi.set(__self__, "timeout", timeout) if aone_name is not None: pulumi.set(__self__, "aone_name", aone_name) @property @pulumi.getter def method(self) -> pulumi.Input[str]: """ The http method of backend service. """ return pulumi.get(self, "method") @method.setter def method(self, value: pulumi.Input[str]): pulumi.set(self, "method", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def path(self) -> pulumi.Input[str]: """ The path of backend service. """ return pulumi.get(self, "path") @path.setter def path(self, value: pulumi.Input[str]): pulumi.set(self, "path", value) @property @pulumi.getter def timeout(self) -> pulumi.Input[int]: """ Backend service time-out time; unit: millisecond. """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: pulumi.Input[int]): pulumi.set(self, "timeout", value) @property @pulumi.getter(name="aoneName") def aone_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aone_name") @aone_name.setter def aone_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aone_name", value) @pulumi.input_type class ApiMockServiceConfigArgs: def __init__(__self__, *, result: pulumi.Input[str], aone_name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] result: The result of the mock service. """ pulumi.set(__self__, "result", result) if aone_name is not None: pulumi.set(__self__, "aone_name", aone_name) @property @pulumi.getter def result(self) -> pulumi.Input[str]: """ The result of the mock service. """ return pulumi.get(self, "result") @result.setter def result(self, value: pulumi.Input[str]): pulumi.set(self, "result", value) @property @pulumi.getter(name="aoneName") def aone_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "aone_name") @aone_name.setter def aone_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "aone_name", value) @pulumi.input_type class ApiRequestConfigArgs: def __init__(__self__, *, method: pulumi.Input[str], mode: pulumi.Input[str], path: pulumi.Input[str], protocol: pulumi.Input[str], body_format: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] method: The http method of backend service. :param pulumi.Input[str] mode: The mode of the parameters between request parameters and service parameters, which support the values of 'MAPPING' and 'PASSTHROUGH' :param pulumi.Input[str] path: The path of backend service. :param pulumi.Input[str] protocol: The protocol of api which supports values of 'HTTP','HTTPS' or 'HTTP,HTTPS' :param pulumi.Input[str] body_format: The body format of the api, which support the values of 'STREAM' and 'FORM' """ pulumi.set(__self__, "method", method) pulumi.set(__self__, "mode", mode) pulumi.set(__self__, "path", path) pulumi.set(__self__, "protocol", protocol) if body_format is not None: pulumi.set(__self__, "body_format", body_format) @property @pulumi.getter def method(self) -> pulumi.Input[str]: """ The http method of backend service. """ return pulumi.get(self, "method") @method.setter def method(self, value: pulumi.Input[str]): pulumi.set(self, "method", value) @property @pulumi.getter def mode(self) -> pulumi.Input[str]: """ The mode of the parameters between request parameters and service parameters, which support the values of 'MAPPING' and 'PASSTHROUGH' """ return pulumi.get(self, "mode") @mode.setter def mode(self, value: pulumi.Input[str]): pulumi.set(self, "mode", value) @property @pulumi.getter def path(self) -> pulumi.Input[str]: """ The path of backend service. """ return pulumi.get(self, "path") @path.setter def path(self, value: pulumi.Input[str]): pulumi.set(self, "path", value) @property @pulumi.getter def protocol(self) -> pulumi.Input[str]: """ The protocol of api which supports values of 'HTTP','HTTPS' or 'HTTP,HTTPS' """ return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: pulumi.Input[str]): pulumi.set(self, "protocol", value) @property @pulumi.getter(name="bodyFormat") def body_format(self) -> Optional[pulumi.Input[str]]: """ The body format of the api, which support the values of 'STREAM' and 'FORM' """ return pulumi.get(self, "body_format") @body_format.setter def body_format(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "body_format", value) @pulumi.input_type class ApiRequestParameterArgs: def __init__(__self__, *, in_: pulumi.Input[str], in_service: pulumi.Input[str], name: pulumi.Input[str], name_service: pulumi.Input[str], required: pulumi.Input[str], type: pulumi.Input[str], default_value: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] in_: System parameter location; values: 'HEAD' and 'QUERY'. :param pulumi.Input[str] in_service: Backend service's parameter location; values: BODY, HEAD, QUERY, and PATH. :param pulumi.Input[str] name: System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) :param pulumi.Input[str] name_service: Backend service's parameter name. :param pulumi.Input[str] required: Parameter required or not; values: REQUIRED and OPTIONAL. :param pulumi.Input[str] type: Parameter type which supports values of 'STRING','INT','BOOLEAN','LONG',"FLOAT" and "DOUBLE" :param pulumi.Input[str] default_value: The default value of the parameter. :param pulumi.Input[str] description: The description of Constant parameter. """ pulumi.set(__self__, "in_", in_) pulumi.set(__self__, "in_service", in_service) pulumi.set(__self__, "name", name) pulumi.set(__self__, "name_service", name_service) pulumi.set(__self__, "required", required) pulumi.set(__self__, "type", type) if default_value is not None: pulumi.set(__self__, "default_value", default_value) if description is not None: pulumi.set(__self__, "description", description) @property @pulumi.getter(name="in") def in_(self) -> pulumi.Input[str]: """ System parameter location; values: 'HEAD' and 'QUERY'. """ return pulumi.get(self, "in_") @in_.setter def in_(self, value: pulumi.Input[str]): pulumi.set(self, "in_", value) @property @pulumi.getter(name="inService") def in_service(self) -> pulumi.Input[str]: """ Backend service's parameter location; values: BODY, HEAD, QUERY, and PATH. """ return pulumi.get(self, "in_service") @in_service.setter def in_service(self, value: pulumi.Input[str]): pulumi.set(self, "in_service", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter(name="nameService") def name_service(self) -> pulumi.Input[str]: """ Backend service's parameter name. """ return pulumi.get(self, "name_service") @name_service.setter def name_service(self, value: pulumi.Input[str]): pulumi.set(self, "name_service", value) @property @pulumi.getter def required(self) -> pulumi.Input[str]: """ Parameter required or not; values: REQUIRED and OPTIONAL. """ return pulumi.get(self, "required") @required.setter def required(self, value: pulumi.Input[str]): pulumi.set(self, "required", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ Parameter type which supports values of 'STRING','INT','BOOLEAN','LONG',"FLOAT" and "DOUBLE" """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter(name="defaultValue") def default_value(self) -> Optional[pulumi.Input[str]]: """ The default value of the parameter. """ return pulumi.get(self, "default_value") @default_value.setter def default_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "default_value", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of Constant parameter. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @pulumi.input_type class ApiSystemParameterArgs: def __init__(__self__, *, in_: pulumi.Input[str], name: pulumi.Input[str], name_service: pulumi.Input[str]): """ :param pulumi.Input[str] in_: System parameter location; values: 'HEAD' and 'QUERY'. :param pulumi.Input[str] name: System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) :param pulumi.Input[str] name_service: Backend service's parameter name. """ pulumi.set(__self__, "in_", in_) pulumi.set(__self__, "name", name) pulumi.set(__self__, "name_service", name_service) @property @pulumi.getter(name="in") def in_(self) -> pulumi.Input[str]: """ System parameter location; values: 'HEAD' and 'QUERY'. """ return pulumi.get(self, "in_") @in_.setter def in_(self, value: pulumi.Input[str]): pulumi.set(self, "in_", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ System parameter name which supports values including in [system parameter list](https://www.alibabacloud.com/help/doc-detail/43677.html) """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter(name="nameService") def name_service(self) -> pulumi.Input[str]: """ Backend service's parameter name. """ return pulumi.get(self, "name_service") @name_service.setter def name_service(self, value: pulumi.Input[str]): pulumi.set(self, "name_service", value)

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bab77f5f7721bb6785bf9a4938dc9a073de96d3a

16,817

py

Python

test/unit/testBatch.py

Ghost93/python-sdk

24fffc1d7cfb53e5f8548c6afa05f6706411a8ba

[ "MIT" ]

2

2021-05-07T16:07:55.000Z

2021-12-07T01:52:33.000Z

test/unit/testBatch.py

Ghost93/python-sdk

24fffc1d7cfb53e5f8548c6afa05f6706411a8ba

[ "MIT" ]

5

2018-02-13T16:11:51.000Z

2021-06-25T10:45:36.000Z

test/unit/testBatch.py

Ghost93/python-sdk

24fffc1d7cfb53e5f8548c6afa05f6706411a8ba

[ "MIT" ]

8

2018-06-05T19:20:10.000Z

2021-12-07T02:35:34.000Z

import sys import os import unittest sys.path.append(os.path.abspath('.')) import paymentrails.configuration import paymentrails.batch from mock import MagicMock, Mock, patch import paymentrails.exceptions.notFoundException import paymentrails.exceptions.invalidFieldException def fake_find(batchId): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") return {"ok":"true","batch":{"id":"B-912Q61G0BRVGC","status":"open","amount":"999.00","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-4","sentAt":"null","completedAt":"null","createdAt":"2017-05-04T19:19:38.049Z","updatedAt":"2017-05-15T16:38:21.552Z","payments":{"payments":[{"id":"P-91XQ0U0B1RW5M","recipient":{"id":"R-91XPYX3V2MM1G","referenceId":"jsmith@exafmple.com","email":"jsmith@exafmple.com","name":"John Smith","status":"archived","countryCode":"null"},"method":"paypal","methodDisplay":"PayPal","status":"pending","sourceAmount":"999.00","targetAmount":"100.10","isSupplyPayment":"false","memo":"Do something amazing!","fees":"0.00","recipientFees":"0.00","exchangeRate":"1.000000","processedAt":"null","merchantFees":"0.00","sourceCurrency":"USD","sourceCurrencyName":"US Dollar","targetCurrency":"USD","targetCurrencyName":"US Dollar","compliance":{"status":"pending","checkedAt":"null"}}],"meta":{"page":1,"pages":1,"records":1}}}} def fake_update(batchId, body): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") if body == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Body cannot be None") return {"ok": "true", "object": "updated"} def fake_create(body): if body == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Body is invalid") return {"ok": "true"} def fake_delete(batchId): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") return {"ok": "true", "object": "deleted"} def fake_search(page,pageSize,term): if term == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Term cannot be None") return {"ok":"true","batches":[{"id":"B-91XQ40VT5HF18","status":"open","amount":"900.90","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-12T18:39:06.125Z"}],"meta":{"page":1,"pages":1,"records":1}} def fake_summary(batchId): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") return {"ok":"true","batchSummary":{"id":"B-91XQ40VT5HF18","serverTime":"2017-05-16T13:34:52.026Z","status":"open","currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","processed_by":"API","updatedAt":"2017-05-12T18:39:06.125Z","quoteExpiredAt":"null","errors":[],"methods":{"paypal":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9,"accountType":"Gateway","displayName":"PayPal"},"bank-transfer":{"count":0,"value":0,"fees":0,"recipientFees":0,"merchantFees":0,"net":0,"accountType":"PaymentRails","displayName":"Bank Transfer"}},"PaymentRailsTotal":{"count":0,"value":0,"fees":0,"recipientFees":0,"merchantFees":0,"net":0},"GatewayTotal":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9},"total":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9},"merchantBalances":{"GatewayTotal":0,"PaymentRailsTotal":10000},"enoughFunds":"true"}} def fake_process_batch(batchId): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") return {"ok":"true","batch":{"id":"B-91XQ40VT5HF18","status":"processing","amount":"900.90","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"2017-05-16T13:41:56.149Z","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-16T13:41:56.150Z"}} def fake_generate_quote(batchId): if batchId == None: raise paymentrails.exceptions.invalidFieldException.InvalidFieldException("Batch id cannot be None") if batchId[0:1] != "B": raise paymentrails.exceptions.notFoundException.NotFoundException("Batch id is invalid") return {"ok":"true","batch":{"id":"B-91XQ40VT5HF18","status":"open","amount":"900.90","totalPayments":"1","currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-16T13:40:08.098Z"}} class TestBatch(unittest.TestCase): public_key = ("public_key") private_key = ("private_key") @patch('paymentrails.batch.Batch.find',fake_find) def test_retrieve_batch(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.find("B-912Q61G0BRVGC") status = {"ok":"true","batch":{"id":"B-912Q61G0BRVGC","status":"open","amount":"999.00","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-4","sentAt":"null","completedAt":"null","createdAt":"2017-05-04T19:19:38.049Z","updatedAt":"2017-05-15T16:38:21.552Z","payments":{"payments":[{"id":"P-91XQ0U0B1RW5M","recipient":{"id":"R-91XPYX3V2MM1G","referenceId":"jsmith@exafmple.com","email":"jsmith@exafmple.com","name":"John Smith","status":"archived","countryCode":"null"},"method":"paypal","methodDisplay":"PayPal","status":"pending","sourceAmount":"999.00","targetAmount":"100.10","isSupplyPayment":"false","memo":"Do something amazing!","fees":"0.00","recipientFees":"0.00","exchangeRate":"1.000000","processedAt":"null","merchantFees":"0.00","sourceCurrency":"USD","sourceCurrencyName":"US Dollar","targetCurrency":"USD","targetCurrencyName":"US Dollar","compliance":{"status":"pending","checkedAt":"null"}}],"meta":{"page":1,"pages":1,"records":1}}}} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.find',fake_find) def test_retrieve_batch_InvalidBatchId(self): with self.assertRaises(paymentrails.exceptions.notFoundException.NotFoundException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.find("dddd") @patch('paymentrails.batch.Batch.find',fake_find) def test_retrieve_batch_None(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.find(None) @patch('paymentrails.batch.Batch.update',fake_update) def test_update_batch(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) body = {"update_payments": [ {"id": "P-91XQ0U0B1RW5M", "sourceAmount": 999}]} response = paymentrails.batch.Batch.update("B-912Q61G0BRVGC", body) status = {"ok": "true", "object": "updated"} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.update',fake_update) def test_update_batch_InvalidBatchId(self): with self.assertRaises(paymentrails.exceptions.notFoundException.NotFoundException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) body = {"update_payments": [ {"id": "P-91XQ0U0B1RW5M", "sourceAmount": 999}]} response = paymentrails.batch.Batch.update("ddddd",body) @patch('paymentrails.batch.Batch.update',fake_update) def test_update_batch_None_Batch(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) body = {"update_payments": [ {"id": "P-91XQ0U0B1RW5M", "sourceAmount": 999}]} response = paymentrails.batch.Batch.update(None,body) @patch('paymentrails.batch.Batch.update',fake_update) def test_update_batch_None_Body(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.update("B-ddddd",None) @patch('paymentrails.batch.Batch.delete',fake_delete) def test_delete_batch(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.delete("B-912Q61G0BRVGC") status = {"ok": "true", "object": "deleted"} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.delete',fake_delete) def test_delete_batch_InvalidBatchId(self): with self.assertRaises(paymentrails.exceptions.notFoundException.NotFoundException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.delete("ddddd") @patch('paymentrails.batch.Batch.delete',fake_delete) def test_delete_batch_None_Batch(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.delete(None) @patch('paymentrails.batch.Batch.search',fake_search) def test_list_allBatchesWithQueries(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.search(1, 10, "f18") status = {"ok":"true","batches":[{"id":"B-91XQ40VT5HF18","status":"open","amount":"900.90","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-12T18:39:06.125Z"}],"meta":{"page":1,"pages":1,"records":1}} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.search',fake_search) def test_list_allBatchesWithNone(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.search(1, 10, None) @patch('paymentrails.batch.Batch.summary',fake_summary) def test_batch_summary(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.summary("B-912Q61G0BRVGC") status = {"ok":"true","batchSummary":{"id":"B-91XQ40VT5HF18","serverTime":"2017-05-16T13:34:52.026Z","status":"open","currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","processed_by":"API","updatedAt":"2017-05-12T18:39:06.125Z","quoteExpiredAt":"null","errors":[],"methods":{"paypal":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9,"accountType":"Gateway","displayName":"PayPal"},"bank-transfer":{"count":0,"value":0,"fees":0,"recipientFees":0,"merchantFees":0,"net":0,"accountType":"PaymentRails","displayName":"Bank Transfer"}},"PaymentRailsTotal":{"count":0,"value":0,"fees":0,"recipientFees":0,"merchantFees":0,"net":0},"GatewayTotal":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9},"total":{"count":1,"value":900.9,"fees":0,"recipientFees":0,"merchantFees":0,"net":900.9},"merchantBalances":{"GatewayTotal":0,"PaymentRailsTotal":10000},"enoughFunds":"true"}} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.summary',fake_summary) def test_batch_summary_InvalidBatchId(self): with self.assertRaises(paymentrails.exceptions.notFoundException.NotFoundException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.summary("dddd") @patch('paymentrails.batch.Batch.summary',fake_summary) def test_batch_summary_None(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.summary(None) @patch('paymentrails.batch.Batch.create',fake_create) @patch('paymentrails.batch.Batch.generate_quote',fake_generate_quote) @patch('paymentrails.batch.Batch.process_batch',fake_process_batch) def test_create_batch(self): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) body = {"payments": [{"recipient": {"id": "R-91XQ0PJH39U54"}, "sourceAmount": "65", "memo": "", "sourceCurrency": "CAD"}]} response = paymentrails.batch.Batch.create(body) status = {"ok": "true"} self.assertEqual(response,status) batchId = 'B-91XQ40VT5HF18' response = paymentrails.batch.Batch.generate_quote(batchId) status = {"ok":"true","batch":{"id":"B-91XQ40VT5HF18","status":"open","amount":"900.90","totalPayments":"1","currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"null","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-16T13:40:08.098Z"}} self.assertEqual(response, status) response = paymentrails.batch.Batch.process_batch(batchId) status = {"ok":"true","batch":{"id":"B-91XQ40VT5HF18","status":"processing","amount":"900.90","totalPayments":1,"currency":"USD","description":"Weekly Payouts on 2017-4-8","sentAt":"2017-05-16T13:41:56.149Z","completedAt":"null","createdAt":"2017-05-08T18:30:44.905Z","updatedAt":"2017-05-16T13:41:56.150Z"}} self.assertEqual(response, status) @patch('paymentrails.batch.Batch.create',fake_create) def test_create_batch_None(self): with self.assertRaises(paymentrails.exceptions.invalidFieldException.InvalidFieldException): paymentrails.configuration.Configuration.set_public_key(TestBatch.public_key) paymentrails.configuration.Configuration.set_private_key(TestBatch.private_key) response = paymentrails.batch.Batch.create(None) if __name__ == '__main__': unittest.main()

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0

null

0

1

0

1

0

null

0

7

2456555c1115ce83a95fd87ce08e724b4772a844

167

py

Python

test/matrix/__init__.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

17

2019-02-14T09:26:03.000Z

2022-03-11T09:23:52.000Z

test/matrix/__init__.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

91

2019-05-06T18:59:02.000Z

2022-01-11T06:22:32.000Z

test/matrix/__init__.py

thatch/BitSwanPump

98a5b8d09f9b59d5361611cee0bd45e7b4c69e3f

[ "BSD-3-Clause" ]

10

2019-04-23T08:48:58.000Z

2022-02-13T14:24:28.000Z

from .test_matrix import * from .test_named_matrix import * from .test_geo_matrix import * from .test_session_matrix import * from .test_time_window_matrix import *

20.875

38

0.808383

25

167

5

0.36

0.32

0.512

0.64

0

0.131737

167

7

39

23.857143

0.862069

0

1

0

true

0

1

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

7

24623bea8531922c66ddc6152c8be49452608ad6

205

py

Python

POP1/mocks/practical-three/test_question6.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

1

2021-12-29T19:38:56.000Z

POP1/mocks/practical-three/test_question6.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

null

POP1/mocks/practical-three/test_question6.py

silvafj/BBK-MSCCS-2017-18

d97b0f8e7434d19a1a4006989c32c4c1deb93842

[ "MIT" ]

2

2021-04-08T22:58:03.000Z

2021-04-09T01:16:51.000Z

from question6 import cows, bulls def test_cows(): assert 0 == cows(1234, 9876) assert 2 == cows(1234, 9294) def test_bulls(): assert 0 == bulls(1234, 9876) assert 2 == bulls(1234, 9912)

20.5

33

0.639024

31

205

4.16129

0.451613

0.108527

0.217054

0.232558

0

0.234177

0.229268

205

9

34

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0.285714

true

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1

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null

0

1

0

1

0

7

cee619dab97a0ea5c5567c0bcdf98021f71b4ffe

4,065

py

Python

tests/unit/math/distance/test_numpy.py

startakovsky/docarray

78dd3199d25b3e533cd09643b97359783c193397

[ "Apache-2.0" ]

591

2022-01-09T14:39:59.000Z

2022-03-31T13:19:39.000Z

tests/unit/math/distance/test_numpy.py

startakovsky/docarray

78dd3199d25b3e533cd09643b97359783c193397

[ "Apache-2.0" ]

210

2022-01-10T07:59:29.000Z

2022-03-31T14:49:18.000Z

tests/unit/math/distance/test_numpy.py

startakovsky/docarray

78dd3199d25b3e533cd09643b97359783c193397

[ "Apache-2.0" ]

40

2022-01-09T14:52:20.000Z

2022-03-31T07:59:45.000Z

import numpy as np import pytest from scipy.sparse import csr_matrix from docarray.math.distance.numpy import ( cosine, euclidean, sparse_cosine, sparse_euclidean, sparse_sqeuclidean, sqeuclidean, ) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( np.array([[1, 2, 3], [4, 5, 6]]), np.array([[1, 2, 3], [4, 5, 6]]), np.array( [[0.00000000e00, 2.53681537e-02], [2.53681537e-02, 2.22044605e-16]] ), ), (np.array([[1, 2, 3]]), np.array([[1, 2, 3]]), np.array([[0]])), (np.array([[0, 0, 0]]), np.array([[0, 0, 0]]), np.array([[0]])), (np.array([[1, 2, 3]]), np.array([[19, 53, 201]]), np.array([[0.06788693]])), ), ) def test_cosine(x_mat, y_mat, result): np.testing.assert_almost_equal(cosine(x_mat, y_mat), result, decimal=3) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( csr_matrix([[1, 2, 3], [4, 5, 6]]), csr_matrix([[1, 2, 3], [4, 5, 6]]), np.array( [[0.00000000e00, 2.53681537e-02], [2.53681537e-02, 2.22044605e-16]] ), ), (csr_matrix([[1, 2, 3]]), csr_matrix([[1, 2, 3]]), np.array([[0]])), (csr_matrix([[0, 0, 0]]), csr_matrix([[0, 0, 0]]), np.array([[np.nan]])), ( csr_matrix([[1, 2, 3]]), csr_matrix([[19, 53, 201]]), np.array([[0.06788693]]), ), ), ) def test_sparse_cosine(x_mat, y_mat, result): np.testing.assert_almost_equal(sparse_cosine(x_mat, y_mat), result, decimal=3) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( np.array([[1, 2, 3], [4, 5, 6]]), np.array([[1, 2, 3], [4, 5, 6]]), np.array([[0, 27], [27, 0]]), ), (np.array([[1, 2, 3]]), np.array([[1, 2, 3]]), np.array([[0]])), (np.array([[0, 0, 0]]), np.array([[0, 0, 0]]), np.array([[0]])), (np.array([[1, 2, 3]]), np.array([[19, 53, 201]]), np.array([[42129]])), ), ) def test_sqeuclidean(x_mat, y_mat, result): np.testing.assert_almost_equal(sqeuclidean(x_mat, y_mat), result, decimal=3) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( csr_matrix([[1, 2, 3], [4, 5, 6]]), csr_matrix([[1, 2, 3], [4, 5, 6]]), np.array([[0, 27], [27, 0]]), ), (csr_matrix([[1, 2, 3]]), csr_matrix([[1, 2, 3]]), np.array([[0]])), (csr_matrix([[0, 0, 0]]), csr_matrix([[0, 0, 0]]), np.array([[0]])), (csr_matrix([[1, 2, 3]]), csr_matrix([[19, 53, 201]]), np.array([[42129]])), ), ) def test_sparse_sqeuclidean(x_mat, y_mat, result): np.testing.assert_almost_equal(sparse_sqeuclidean(x_mat, y_mat), result, decimal=3) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( np.array([[1, 2, 3], [4, 5, 6]]), np.array([[1, 2, 3], [4, 5, 6]]), np.array([[0, 5.19615242], [5.19615242, 0]]), ), (np.array([[1, 2, 3]]), np.array([[1, 2, 3]]), np.array([[0]])), (np.array([[0, 0, 0]]), np.array([[0, 0, 0]]), np.array([[0]])), (np.array([[1, 2, 3]]), np.array([[19, 53, 201]]), np.array([[205.2535018]])), ), ) def test_euclidean(x_mat, y_mat, result): np.testing.assert_almost_equal(euclidean(x_mat, y_mat), result, decimal=3) @pytest.mark.parametrize( 'x_mat, y_mat, result', ( ( csr_matrix([[1, 2, 3], [4, 5, 6]]), csr_matrix([[1, 2, 3], [4, 5, 6]]), np.array([[0, 5.19615242], [5.19615242, 0]]), ), (csr_matrix([[1, 2, 3]]), csr_matrix([[1, 2, 3]]), np.array([[0]])), (csr_matrix([[0, 0, 0]]), csr_matrix([[0, 0, 0]]), np.array([[0]])), ( csr_matrix([[1, 2, 3]]), csr_matrix([[19, 53, 201]]), np.array([[205.2535018]]), ), ), ) def test_sparse_euclidean(x_mat, y_mat, result): np.testing.assert_almost_equal(sparse_euclidean(x_mat, y_mat), result, decimal=3)

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null

0

1

0

1

0

null

0

7

23597ef2c16a8d0b6f9a050c0bc516757ae1bf51

11,243

py

Python

Chapter05/01-chapter-content/color_map_custom_values.py

yaojh01/Mastering-OpenCV-4-with-Python

e8f83e314b8ed638edb6515967cfb24361b787af

[ "MIT" ]

2

2021-06-29T22:00:47.000Z

2021-06-30T02:46:19.000Z

Chapter05/01-chapter-content/color_map_custom_values.py

yaojh01/Mastering-OpenCV-4-with-Python

e8f83e314b8ed638edb6515967cfb24361b787af

[ "MIT" ]

null

Chapter05/01-chapter-content/color_map_custom_values.py

yaojh01/Mastering-OpenCV-4-with-Python

e8f83e314b8ed638edb6515967cfb24361b787af

[ "MIT" ]

1

2019-10-03T20:34:43.000Z

""" Example for testing custom colors maps in OpenCV providing all values """ # Import required packages: import cv2 import numpy as np import matplotlib.pyplot as plt def apply_custom_colormap_values(im_gray): """Applies a custom color map using cv2.applyColorMap()""" # Create the LUT: lut = np.zeros((256, 1, 3), dtype=np.uint8) lut[:, 0, 0] = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 253, 251, 249, 247, 245, 242, 241, 238, 237, 235, 233, 231, 229, 227, 225, 223, 221, 219, 217, 215, 213, 211, 209, 207, 205, 203, 201, 199, 197, 195, 193, 191, 189, 187, 185, 183, 181, 179, 177, 175, 173, 171, 169, 167, 165, 163, 161, 159, 157, 155, 153, 151, 149, 147, 145, 143, 141, 138, 136, 134, 132, 131, 129, 126, 125, 122, 121, 118, 116, 115, 113, 111, 109, 107, 105, 102, 100, 98, 97, 94, 93, 91, 89, 87, 84, 83, 81, 79, 77, 75, 73, 70, 68, 66, 64, 63, 61, 59, 57, 54, 52, 51, 49, 47, 44, 42, 40, 39, 37, 34, 33, 31, 29, 27, 25, 22, 20, 18, 17, 14, 13, 11, 9, 6, 4, 2, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10] lut[:, 0, 1] = [200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 198, 196, 194, 192, 190, 188, 186, 184, 182, 180, 178, 176, 174, 171, 169, 167, 165, 163, 161, 159, 157, 155, 153, 151, 149, 147, 145, 143, 141, 139, 137, 135, 133, 131, 129, 127, 125, 123, 121, 119, 117, 115, 113, 111, 109, 107, 105, 103, 101, 99, 97, 95, 93, 91, 89, 87, 85, 83, 82, 80, 78, 76, 74, 72, 70, 68, 66, 64, 62, 60, 58, 56, 54, 52, 50, 48, 46, 44, 42, 40, 38, 36, 34, 32, 30, 28, 26, 24, 22, 20, 18, 16, 14, 12, 10, 8, 6, 4, 2, 0] lut[:, 0, 2] = [195, 194, 193, 191, 190, 189, 188, 187, 186, 185, 184, 183, 182, 181, 179, 178, 177, 176, 175, 174, 173, 172, 171, 170, 169, 167, 166, 165, 164, 163, 162, 161, 160, 159, 158, 157, 155, 154, 153, 152, 151, 150, 149, 148, 147, 146, 145, 143, 142, 141, 140, 139, 138, 137, 136, 135, 134, 133, 131, 130, 129, 128, 127, 126, 125, 124, 123, 122, 121, 120, 119, 118, 117, 116, 115, 114, 113, 112, 111, 110, 109, 108, 107, 106, 105, 104, 103, 102, 101, 95, 99, 98, 97, 96, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95] # Apply color map using cv2.applyColorMap() im_color = cv2.applyColorMap(im_gray, lut) return im_color def apply_custom_colormap_values2(im_gray): """Applies a custom color map using cv2.LUT()""" # Create the LUT: lut = np.zeros((256, 3), dtype=np.uint8) lut[:, 0] = [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 253, 251, 249, 247, 245, 242, 241, 238, 237, 235, 233, 231, 229, 227, 225, 223, 221, 219, 217, 215, 213, 211, 209, 207, 205, 203, 201, 199, 197, 195, 193, 191, 189, 187, 185, 183, 181, 179, 177, 175, 173, 171, 169, 167, 165, 163, 161, 159, 157, 155, 153, 151, 149, 147, 145, 143, 141, 138, 136, 134, 132, 131, 129, 126, 125, 122, 121, 118, 116, 115, 113, 111, 109, 107, 105, 102, 100, 98, 97, 94, 93, 91, 89, 87, 84, 83, 81, 79, 77, 75, 73, 70, 68, 66, 64, 63, 61, 59, 57, 54, 52, 51, 49, 47, 44, 42, 40, 39, 37, 34, 33, 31, 29, 27, 25, 22, 20, 18, 17, 14, 13, 11, 9, 6, 4, 2, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10] lut[:, 1] = [200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 198, 196, 194, 192, 190, 188, 186, 184, 182, 180, 178, 176, 174, 171, 169, 167, 165, 163, 161, 159, 157, 155, 153, 151, 149, 147, 145, 143, 141, 139, 137, 135, 133, 131, 129, 127, 125, 123, 121, 119, 117, 115, 113, 111, 109, 107, 105, 103, 101, 99, 97, 95, 93, 91, 89, 87, 85, 83, 82, 80, 78, 76, 74, 72, 70, 68, 66, 64, 62, 60, 58, 56, 54, 52, 50, 48, 46, 44, 42, 40, 38, 36, 34, 32, 30, 28, 26, 24, 22, 20, 18, 16, 14, 12, 10, 8, 6, 4, 2, 0] lut[:, 2] = [195, 194, 193, 191, 190, 189, 188, 187, 186, 185, 184, 183, 182, 181, 179, 178, 177, 176, 175, 174, 173, 172, 171, 170, 169, 167, 166, 165, 164, 163, 162, 161, 160, 159, 158, 157, 155, 154, 153, 152, 151, 150, 149, 148, 147, 146, 145, 143, 142, 141, 140, 139, 138, 137, 136, 135, 134, 133, 131, 130, 129, 128, 127, 126, 125, 124, 123, 122, 121, 120, 119, 118, 117, 116, 115, 114, 113, 112, 111, 110, 109, 108, 107, 106, 105, 104, 103, 102, 101, 95, 99, 98, 97, 96, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95, 95] # Apply color map using cv2.LUT(): s0, s1 = im_gray.shape im_color = np.empty(shape=(s0, s1, 3), dtype=np.uint8) for i in range(3): im_color[..., i] = cv2.LUT(im_gray, lut[:, i]) return im_color def apply_rand_custom_colormap_values(im_gray): """Applies a random color map using cv2.applyColorMap()""" # Create random LUT lut = np.random.randint(255, size=(256, 1, 3), dtype=np.uint8) # Apply color map using cv2.applyColorMap() im_color = cv2.applyColorMap(im_gray, lut) return im_color def apply_rand_custom_colormap_values2(im_gray): """Applies a random color map using cv2.LUT()""" # Create random LUT lut = np.random.randint(255, size=(256, 3), dtype=np.uint8) # Apply color map using cv2.LUT(): s0, s1 = im_gray.shape im_color = np.empty(shape=(s0, s1, 3), dtype=np.uint8) for i in range(3): im_color[..., i] = cv2.LUT(im_gray, lut[:, i]) return im_color def show_with_matplotlib(color_img, title, pos): """Shows an image using matplotlib capabilities""" # Convert BGR image to RGB img_RGB = color_img[:, :, ::-1] ax = plt.subplot(1, 5, pos) plt.imshow(img_RGB) plt.title(title) plt.axis('off') # We load the image using cv2.imread() and using 'cv2.IMREAD_GRAYSCALE' argument: gray_img = cv2.imread('shades.png', cv2.IMREAD_GRAYSCALE) # create a figure() object with appropriate size and title: plt.figure(figsize=(12, 2)) plt.suptitle("Custom colormaps providing all values", fontsize=14, fontweight='bold') # Show image: show_with_matplotlib(cv2.cvtColor(gray_img, cv2.COLOR_GRAY2BGR), "gray", 1) # Apply the custom color maps to the grayscale image: custom_rand_1 = apply_rand_custom_colormap_values(gray_img) custom_rand_2 = apply_rand_custom_colormap_values2(gray_img) custom_values_1 = apply_custom_colormap_values(gray_img) custom_values_2 = apply_custom_colormap_values2(gray_img) # Display all the resulting images: show_with_matplotlib(custom_rand_1, "cv2.applyColorMap()", 2) show_with_matplotlib(custom_rand_2, "cv2.LUT()", 3) show_with_matplotlib(custom_values_1, "cv2.applyColorMap()", 4) show_with_matplotlib(custom_values_2, "cv2.LUT()", 5) # Show the created image: plt.show()

63.880682

120

0.532598

1,995

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2.956892

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0.325479

0.43126

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0.78454

0.755721

0

0.50859

0.295917

11,243

175

121

64.245714

0.236609

0.074357

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1

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1

0

1

0

null

0

11

88e291438e08cfb2c98f2fa5476c02df3a65ada6

10,491

py

Python

Algo_Research/Moving_Average.py

candypantsnola/QTS_Research

d62ecb1ecc5d5429f58b9f566cdd052e491bae28

[ "MIT" ]

20

2017-03-05T22:15:29.000Z

2022-02-18T11:45:50.000Z

Algo_Research/Moving_Average.py

candypantsnola/QTS_Research

d62ecb1ecc5d5429f58b9f566cdd052e491bae28

[ "MIT" ]

null

Algo_Research/Moving_Average.py

candypantsnola/QTS_Research

d62ecb1ecc5d5429f58b9f566cdd052e491bae28

[ "MIT" ]

14

2017-03-05T22:49:04.000Z

2022-01-02T21:34:19.000Z

# an exhaustive research on moving average strategy import sys import os this_dir=os.path.dirname(__file__) sys.path.append(this_dir+"\..\\") from Back_Test import * from Ticker_API import * from Data_API import * from Util import * import Single_Algos test_start = -2500 test_end = -1 Pricing_Database.lazy_update_data_period = 20 # Test 0 --------------------------------- #get benchmark on all SP500 underlyers cache = Cache() #Cache.quandl_key = "Put your quandl key here if you want better download speed with Quandl" sp500 = get_snp500() sp500_by_sector = get_snp500_by_sector() Pricing_Database.lazy_update_data = True # to use downloaded data in the past week. count = 0 good_keys = [] for k in sp500: try: if k == "JEC": raise Exception('Unadjusted ticker') cache.get_ticker_data(k) count += 1 good_keys.append(k) except: print( "skipped {}".format(k) ) pass all_measures = [] all_measures_by_sector = [] all_measures_total ={} for sector in sp500_by_sector: sector_measures = {} sector_counter = 0 for k in sp500_by_sector[sector]: if k in good_keys: print(k) algo = back_test_single("portfolio.buy(ticker)",test_start,test_end,ticker=k) temp_measure = algo.portfolio.get_measures() sector_measures={ key:temp_measure[key]+sector_measures.get(key,0) for key in temp_measure} all_measures_total={ key:temp_measure[key]+all_measures_total.get(key,0) for key in temp_measure} temp_measure['ticker'] = k all_measures.append(temp_measure) sector_counter += 1 sector_measures = {key:sector_measures[key]/sector_counter for key in sector_measures} sector_measures['ticker'] = sector all_measures_by_sector.append(sector_measures) all_measures_total = {key:all_measures_total[key]/count for key in all_measures_total} all_measures_total['ticker'] = "Avg_SP500" list_for_csv = [all_measures_total]+all_measures_by_sector+all_measures dict_array_to_csv(list_for_csv,"Bench_Mark_1.csv",fields=['ticker','return','volatility','draw_down','max_draw_down','sharpe']) # # Test 1 --------------------------------- #run moving average on all SP500 underlyers cache = Cache() #Cache.quandl_key = "Put your quandl key here if you want better download speed with Quandl" sp500 = get_snp500() sp500_by_sector = get_snp500_by_sector() Pricing_Database.lazy_update_data = True # to use downloaded data in the past week. count = 0 good_keys = [] for k in sp500: try: if k == "JEC": raise Exception('Unadjusted ticker') cache.get_ticker_data(k) count += 1 good_keys.append(k) except: print( "skipped {}".format(k) ) pass all_measures = [] all_measures_by_sector = [] all_measures_total ={} for sector in sp500_by_sector: sector_measures = {} sector_counter = 0 for k in sp500_by_sector[sector]: if k in good_keys: print(k) algo = back_test_single(Single_Algos.algos["moving average"],test_start,test_end,ticker=k) temp_measure = algo.portfolio.get_measures() sector_measures={ key:temp_measure[key]+sector_measures.get(key,0) for key in temp_measure} all_measures_total={ key:temp_measure[key]+all_measures_total.get(key,0) for key in temp_measure} temp_measure['ticker'] = k all_measures.append(temp_measure) sector_counter += 1 sector_measures = {key:sector_measures[key]/sector_counter for key in sector_measures} sector_measures['ticker'] = sector all_measures_by_sector.append(sector_measures) all_measures_total = {key:all_measures_total[key]/count for key in all_measures_total} all_measures_total['ticker'] = "Avg_SP500" list_for_csv = [all_measures_total]+all_measures_by_sector+all_measures dict_array_to_csv(list_for_csv,"Moving_Average_Result_1.csv",fields=['ticker','return','volatility','draw_down','max_draw_down','sharpe']) # # Test 2 --------------------------------- # #run moving average with short selling on all SP500 underlyers # cache = Cache() # #Cache.quandl_key = "Put your quandl key here if you want better download speed with Quandl" # sp500 = get_snp500() # sp500_by_sector = get_snp500_by_sector() # # Pricing_Database.lazy_update_data = True # to use downloaded data in the past week. # count = 0 # good_keys = [] # for k in sp500: # try: # if k == "JEC": # raise Exception('Unadjusted ticker') # cache.get_ticker_data(k) # count += 1 # good_keys.append(k) # except: # print( "skipped {}".format(k) ) # pass # # all_measures = [] # all_measures_by_sector = [] # all_measures_total ={} # for sector in sp500_by_sector: # sector_measures = {} # sector_counter = 0 # for k in sp500_by_sector[sector]: # if k in good_keys: # print(k) # algo = back_test_single(Single_Algos.algos["moving average with short sell"],test_start,test_end,ticker=k) # temp_measure = algo.portfolio.get_measures() # sector_measures={ key:temp_measure[key]+sector_measures.get(key,0) for key in temp_measure} # all_measures_total={ key:temp_measure[key]+all_measures_total.get(key,0) for key in temp_measure} # temp_measure['ticker'] = k # all_measures.append(temp_measure) # sector_counter += 1 # sector_measures = {key:sector_measures[key]/sector_counter for key in sector_measures} # sector_measures['ticker'] = sector # all_measures_by_sector.append(sector_measures) # all_measures_total = {key:all_measures_total[key]/count for key in all_measures_total} # all_measures_total['ticker'] = "Avg_SP500" # # list_for_csv = [all_measures_total]+all_measures_by_sector+all_measures # dict_array_to_csv(list_for_csv,"Moving_Average_With_Short_Sell_Result_1.csv",fields=['ticker','return','volatility','draw_down','sharpe']) # Test 3 --------------------------------- #run moving average with support price signal on all SP500 underlyers cache = Cache() #Cache.quandl_key = "Put your quandl key here if you want better download speed with Quandl" sp500 = get_snp500() sp500_by_sector = get_snp500_by_sector() Pricing_Database.lazy_update_data = True # to use downloaded data in the past week. count = 0 good_keys = [] for k in sp500: try: if k == "JEC": raise Exception('Unadjusted ticker') cache.get_ticker_data(k) count += 1 good_keys.append(k) except: print( "skipped {}".format(k) ) pass all_measures = [] all_measures_by_sector = [] all_measures_total ={} for sector in sp500_by_sector: sector_measures = {} sector_counter = 0 for k in sp500_by_sector[sector]: if k in good_keys: print(k) algo = back_test_single(Single_Algos.algos["moving average with support price"],test_start,test_end,ticker=k) temp_measure = algo.portfolio.get_measures() sector_measures={ key:temp_measure[key]+sector_measures.get(key,0) for key in temp_measure} all_measures_total={ key:temp_measure[key]+all_measures_total.get(key,0) for key in temp_measure} temp_measure['ticker'] = k all_measures.append(temp_measure) sector_counter += 1 sector_measures = {key:sector_measures[key]/sector_counter for key in sector_measures} sector_measures['ticker'] = sector all_measures_by_sector.append(sector_measures) all_measures_total = {key:all_measures_total[key]/count for key in all_measures_total} all_measures_total['ticker'] = "Avg_SP500" list_for_csv = [all_measures_total]+all_measures_by_sector+all_measures dict_array_to_csv(list_for_csv,"Moving_Average_With_Support_Price_Result_1.csv",fields=['ticker','return','volatility','draw_down','max_draw_down','sharpe']) # Test 4 --------------------------------- #run moving average with support price and volatility signal on all SP500 underlyers cache = Cache() #Cache.quandl_key = "Put your quandl key here if you want better download speed with Quandl" sp500 = get_snp500() sp500_by_sector = get_snp500_by_sector() # print(sp500_by_sector['real_estate']) Pricing_Database.lazy_update_data = True # to use downloaded data in the past week. count = 0 good_keys = [] for k in sp500: try: if k == "JEC": raise Exception('Unadjusted ticker') cache.get_ticker_data(k) count += 1 good_keys.append(k) except: print( "skipped {}".format(k) ) pass filtered_keys = [] # In this strategy first we restrict our algo only on less-volatile stocks - note that we apply the vol filter here based on history up to the state date so there is no look forward bias for k in good_keys: if volatility(k,test_start - 250, test_start) < 0.25: filtered_keys.append(k) all_measures = [] all_measures_by_sector = [] all_measures_total ={} for sector in sp500_by_sector: sector_measures = {} sector_counter = 0 for k in sp500_by_sector[sector]: if k in filtered_keys: print(k) algo = back_test_single(Single_Algos.algos["moving average support volatility"],test_start,test_end,ticker=k) temp_measure = algo.portfolio.get_measures() sector_measures={ key:temp_measure[key]+sector_measures.get(key,0) for key in temp_measure} all_measures_total={ key:temp_measure[key]+all_measures_total.get(key,0) for key in temp_measure} temp_measure['ticker'] = k all_measures.append(temp_measure) sector_counter += 1 sector_measures = {key:sector_measures[key]/sector_counter for key in sector_measures} sector_measures['ticker'] = sector all_measures_by_sector.append(sector_measures) all_measures_total = {key:all_measures_total[key]/count for key in all_measures_total} all_measures_total['ticker'] = "Avg_SP500" list_for_csv = [all_measures_total]+all_measures_by_sector+all_measures dict_array_to_csv(list_for_csv,"Moving_Average_Support_Volatility_Result.csv",fields=['ticker','return','volatility','draw_down','max_draw_down','sharpe'])

40.821012

206

0.67801

1,457

10,491

4.571723

0.098833

0.115598

0.096082

0.042786

0.903618

0.892959

0.883351

0.876445

0

0.022922

0.209894

10,491

256

207

40.980469

0.780673

0.29368

0

0.854651

0

0.094156

0.019481

0

1

0

false

0.023256

0.040698

0

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0.046512

0

null

0

1

0

1

0

null

0

7

002756dad3c9229bd6017b5e42a92c9db74dcb8b

588

py

Python

bestfitting/src/config/en_config.py

guitarmind/HPA-competition-solutions

547d53aaca148fdb5f4585526ad7364dfa47967d

[ "MIT" ]

null

bestfitting/src/config/en_config.py

guitarmind/HPA-competition-solutions

547d53aaca148fdb5f4585526ad7364dfa47967d

[ "MIT" ]

null

bestfitting/src/config/en_config.py

guitarmind/HPA-competition-solutions

547d53aaca148fdb5f4585526ad7364dfa47967d

[ "MIT" ]

null

external_crop512_focal_slov_hardlog_class_densenet121_dropout_i768_aug2_5folds = [ {'model_name': 'external_crop512_focal_slov_hardlog_class_densenet121_dropout_i768_aug2_5folds', 'fold': fold, 'epoch_name': 'final', 'augment': 'whole_maximum'} for fold in range(5) ] external_crop1024_focal_slov_hardlog_clean_class_densenet121_large_dropout_i1536_aug2_5folds_f012 = [ {'model_name': 'external_crop1024_focal_slov_hardlog_clean_class_densenet121_large_dropout_i1536_aug2_5folds', 'fold': fold, 'epoch_name': 'final', 'augment': 'whole_maximum'} for fold in range(3) ]

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null

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7

ccb78517149e2edf7a9d143603ed42930854484d

9,938

py

Python

caipirinha/schema.py

eubr-bigsea/caipirinha

4856fedc77aaa1f7b7ccd145c612fdc332f9b25e

[ "Apache-2.0" ]

null

caipirinha/schema.py

eubr-bigsea/caipirinha

4856fedc77aaa1f7b7ccd145c612fdc332f9b25e

[ "Apache-2.0" ]

10

2017-02-23T17:04:48.000Z

2021-07-09T18:28:53.000Z

caipirinha/schema.py

eubr-bigsea/caipirinha

4856fedc77aaa1f7b7ccd145c612fdc332f9b25e

[ "Apache-2.0" ]

1

2020-11-13T22:02:22.000Z

# -*- coding: utf-8 -*- import datetime import json from copy import deepcopy from marshmallow import Schema, fields, post_load, post_dump, EXCLUDE, INCLUDE from marshmallow.validate import OneOf from flask_babel import gettext from caipirinha.models import * def partial_schema_factory(schema_cls): schema = schema_cls(partial=True) for field_name, field in list(schema.fields.items()): if isinstance(field, fields.Nested): new_field = deepcopy(field) new_field.schema.partial = True schema.fields[field_name] = new_field return schema def translate_validation(validation_errors): for field, errors in list(validation_errors.items()): if isinstance(errors, dict): validation_errors[field] = translate_validation(errors) else: validation_errors[field] = [gettext(error) for error in errors] return validation_errors def load_json(str_value): try: return json.loads(str_value) except BaseException: return None # region Protected class UserCreateRequestSchema(Schema): id = fields.Integer(required=True) login = fields.String(required=True) name = fields.String(required=True) # endregion class BaseSchema(Schema): @post_dump def remove_skip_values(self, data, **kwargs): return { key: value for key, value in data.items() if value is not None # Empty lists must be kept! } class DashboardListResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) title = fields.String(required=True) created = fields.DateTime( required=False, allow_none=True, missing=datetime.datetime.utcnow, default=datetime.datetime.utcnow) updated = fields.DateTime( required=False, allow_none=True, missing=datetime.datetime.utcnow, default=datetime.datetime.utcnow) version = fields.Integer(required=True) task_id = fields.String(required=True) job_id = fields.Integer(required=True) configuration = fields.Function(lambda x: load_json(x.configuration)) is_public = fields.Boolean( required=False, allow_none=True, missing=False, default=False) hash = fields.String(required=False, allow_none=True) user = fields.Function( lambda x: { "id": x.user_id, "name": x.user_name, "login": x.user_login}) workflow = fields.Function( lambda x: { "id": x.workflow_id, "name": x.workflow_name}) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Dashboard""" return Dashboard(**data) class Meta: ordered = True unknown = EXCLUDE class DashboardCreateRequestSchema(BaseSchema): """ JSON serialization schema """ title = fields.String(required=True) user_id = fields.Integer(required=True) user_login = fields.String(required=True) user_name = fields.String(required=True) workflow_id = fields.Integer(required=True) workflow_name = fields.String(required=False, allow_none=True) task_id = fields.String(required=True) job_id = fields.Integer(required=True) configuration = fields.String(required=False, allow_none=True) is_public = fields.Boolean( required=False, allow_none=True, missing=False, default=False) hash = fields.String(required=False, allow_none=True) visualizations = fields.Nested( 'caipirinha.schema.VisualizationCreateRequestSchema', allow_none=True, many=True) user = fields.Nested( 'caipirinha.schema.UserCreateRequestSchema', allow_none=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Dashboard""" return Dashboard(**data) class Meta: ordered = True unknown = EXCLUDE class DashboardItemResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) title = fields.String(required=True) created = fields.DateTime( required=False, allow_none=True, missing=datetime.datetime.utcnow, default=datetime.datetime.utcnow) updated = fields.DateTime( required=False, allow_none=True, missing=datetime.datetime.utcnow, default=datetime.datetime.utcnow) version = fields.Integer(required=True) task_id = fields.String(required=True) job_id = fields.Integer(required=True) configuration = fields.Function(lambda x: load_json(x.configuration)) is_public = fields.Boolean( required=False, allow_none=True, missing=False, default=False) hash = fields.String(required=False, allow_none=True) visualizations = fields.Nested( 'caipirinha.schema.VisualizationItemResponseSchema', allow_none=True, many=True) user = fields.Function( lambda x: { "id": x.user_id, "name": x.user_name, "login": x.user_login}) workflow = fields.Function( lambda x: { "id": x.workflow_id, "name": x.workflow_name}) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Dashboard""" return Dashboard(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationCreateRequestSchema(BaseSchema): """ JSON serialization schema """ task_id = fields.String(required=True) title = fields.String(required=True) workflow_id = fields.Integer(required=False, allow_none=True) job_id = fields.Integer(required=False, allow_none=True) suggested_width = fields.Integer( required=False, allow_none=True, missing=12, default=12) data = fields.String(required=False, allow_none=True) type = fields.Nested( 'caipirinha.schema.VisualizationTypeCreateRequestSchema', required=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Visualization""" return Visualization(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationListResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) task_id = fields.String(required=True) title = fields.String(required=True) workflow_id = fields.Integer(required=False, allow_none=True) job_id = fields.Integer(required=False, allow_none=True) suggested_width = fields.Integer( required=False, allow_none=True, missing=12, default=12) data = fields.String(required=False, allow_none=True) type = fields.Nested( 'caipirinha.schema.VisualizationTypeListResponseSchema', required=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Visualization""" return Visualization(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationItemResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) task_id = fields.String(required=True) title = fields.String(required=True) workflow_id = fields.Integer(required=False, allow_none=True) job_id = fields.Integer(required=False, allow_none=True) suggested_width = fields.Integer( required=False, allow_none=True, missing=12, default=12) data = fields.String(required=False, allow_none=True) type = fields.Nested( 'caipirinha.schema.VisualizationTypeItemResponseSchema', required=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of Visualization""" return Visualization(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationTypeCreateRequestSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) icon = fields.String(required=False, allow_none=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of VisualizationType""" return VisualizationType(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationTypeItemResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) name = fields.String(required=True) help = fields.String(required=True) icon = fields.String(required=False, allow_none=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of VisualizationType""" return VisualizationType(**data) class Meta: ordered = True unknown = EXCLUDE class VisualizationTypeListResponseSchema(BaseSchema): """ JSON serialization schema """ id = fields.Integer(required=True) name = fields.String(required=True) help = fields.String(required=True) icon = fields.String(required=False, allow_none=True) # noinspection PyUnresolvedReferences @post_load def make_object(self, data, **kwargs): """ Deserialize data into an instance of VisualizationType""" return VisualizationType(**data) class Meta: ordered = True unknown = EXCLUDE

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1

0

null

0

1

0

7

9d9d3c37b073921e5bd0fd49bfac20e0963a9d5a

5,893

py

Python

tests/strategies/test_transformation.py

EMMC-ASBL/otelib

a66001f3a8b94fc7a113d25f03ff04ba1e2fbf51

[ "MIT" ]

1

2022-01-24T15:18:14.000Z

tests/strategies/test_transformation.py

EMMC-ASBL/otelib

a66001f3a8b94fc7a113d25f03ff04ba1e2fbf51

[ "MIT" ]

34

2022-01-28T16:22:46.000Z

2022-03-30T17:07:36.000Z

tests/strategies/test_transformation.py

EMMC-ASBL/otelib

a66001f3a8b94fc7a113d25f03ff04ba1e2fbf51

[ "MIT" ]

null

"""Tests for `otelib.strategies.transformation`.""" from typing import TYPE_CHECKING import pytest if TYPE_CHECKING: from typing import Callable, Union from tests.conftest import OTEResponse, ResourceType def test_create( mock_ote_response: "OTEResponse", ids: "Callable[[Union[ResourceType, str]], str]", server_url: str, ) -> None: """Test `Transformation.create()`.""" from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", return_json={"transformation_id": ids("transformation")}, ) transformation = Transformation(server_url) assert transformation.id is None transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, ) assert transformation.id def test_create_fails( mock_ote_response: "OTEResponse", server_url: str, ) -> None: """Check `Transformation.create()` raises `ApiError` upon request failure.""" from otelib.exceptions import ApiError from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", status_code=500, return_content=b"Internal Server Error", ) transformation = Transformation(server_url) assert transformation.id is None with pytest.raises(ApiError, match="APIError"): # `session_id` has a wrong type, the request should fail. transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, session_id=123, ) assert transformation.id is None def test_fetch( mock_ote_response: "OTEResponse", ids: "Callable[[Union[ResourceType, str]], str]", server_url: str, testdata: "Callable[[Union[ResourceType, str]], dict]", ) -> None: """Test `Transformation.fetch()`.""" import json from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", return_json={"transformation_id": ids("transformation")}, ) mock_ote_response( method="get", endpoint=f"/transformation/{ids('transformation')}", return_json=testdata("transformation"), ) transformation = Transformation(server_url) # We must first create the resource - getting a resource ID transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, ) content = transformation.fetch(session_id=None) assert json.loads(content) == testdata("transformation") def test_fetch_fails( mock_ote_response: "OTEResponse", ids: "Callable[[Union[ResourceType, str]], str]", server_url: str, ) -> None: """Check `Transformation.fetch()` raises `ApiError` upon request failure.""" from otelib.exceptions import ApiError from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", return_json={"transformation_id": ids("transformation")}, ) mock_ote_response( method="get", endpoint=f"/transformation/{ids('transformation')}", status_code=500, return_content=b"Internal Server Error", ) transformation = Transformation(server_url) # We must first create the resource - getting a resource ID transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, ) with pytest.raises(ApiError, match="APIError"): # `session_id` has a wrong type, the request should fail. transformation.fetch(session_id=123) def test_initialize( mock_ote_response: "OTEResponse", ids: "Callable[[Union[ResourceType, str]], str]", server_url: str, ) -> None: """Test `Transformation.fetch()`.""" import json from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", return_json={"transformation_id": ids("transformation")}, ) mock_ote_response( method="post", endpoint=f"/transformation/{ids('transformation')}/initialize", return_json={}, ) transformation = Transformation(server_url) # We must first create the resource - getting a resource ID transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, ) content = transformation.initialize(session_id=None) assert json.loads(content) == {} def test_initialize_fails( mock_ote_response: "OTEResponse", ids: "Callable[[Union[ResourceType, str]], str]", server_url: str, ) -> None: """Check `Transformation.fetch()` raises `ApiError` upon request failure.""" from otelib.exceptions import ApiError from otelib.strategies.transformation import Transformation mock_ote_response( method="post", endpoint="/transformation", return_json={"transformation_id": ids("transformation")}, ) mock_ote_response( method="post", endpoint=f"/transformation/{ids('transformation')}/initialize", status_code=500, return_content=b"Internal Server Error", ) transformation = Transformation(server_url) # We must first create the resource - getting a resource ID transformation.create( transformationType="celery/remote", configuration={"task_name": "test-task", "args": []}, ) with pytest.raises(ApiError, match="APIError"): # `session_id` has a wrong type, the request should fail. transformation.initialize(session_id=123)

28.468599

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0.838928

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0

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0.211268

5,893

206

82

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0

0.104895

0

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0

null

0

1

0

1

0

null

0

7

d184c844ff8552682a82cb1beabfa2a43bfbb4b6

94

py

Python

src/OptionFlags.py

riferg206/aws-programmatic-tester

6f04ca9fb983caf1fb119c57775560a848d160df

[ "Apache-2.0" ]

null

src/OptionFlags.py

riferg206/aws-programmatic-tester

6f04ca9fb983caf1fb119c57775560a848d160df

[ "Apache-2.0" ]

null

src/OptionFlags.py

riferg206/aws-programmatic-tester

6f04ca9fb983caf1fb119c57775560a848d160df

[ "Apache-2.0" ]

null

import base64 def decode_b64(encoded_data): return base64.b64decode(encoded_data)

11.75

41

0.744681

12

94

5.583333

0.75

0.328358

0

0.105263

0.191489

94

7

42

13.428571

0.776316

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

d18d4909e2cd23bedf5ab5443fbf5644fc867dac

107

py

Python

horch/models/cifar/iresnet/__init__.py

sbl1996/pytorch-hrvvi-ext

f19abcbedd844a700b2e2596dd817ea80cbb6287

[ "MIT" ]

17

2019-05-14T10:47:25.000Z

2021-06-09T05:39:47.000Z

horch/models/cifar/iresnet/__init__.py

sbl1996/pytorch-hrvvi-ext

f19abcbedd844a700b2e2596dd817ea80cbb6287

[ "MIT" ]

null

horch/models/cifar/iresnet/__init__.py

sbl1996/pytorch-hrvvi-ext

f19abcbedd844a700b2e2596dd817ea80cbb6287

[ "MIT" ]

5

2019-08-08T07:04:38.000Z

2020-07-04T08:58:32.000Z

from horch.models.cifar.iresnet.resnet import ResNet from horch.models.cifar.iresnet.resnext import ResNeXt

53.5

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0

null

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0

1

0

1

0

7

d1c65f8cbf8498e75d29e62821792a4961484341

33,614

py

Python

examples/parametered_grid.py

abadithela/NFM2021_Static_Test_Synthesis

2e7ad9c08b6b79706ea5124ee7fa7d3b224cf64a

[ "MIT" ]

null

examples/parametered_grid.py

abadithela/NFM2021_Static_Test_Synthesis

2e7ad9c08b6b79706ea5124ee7fa7d3b224cf64a

[ "MIT" ]

null

examples/parametered_grid.py

abadithela/NFM2021_Static_Test_Synthesis

2e7ad9c08b6b79706ea5124ee7fa7d3b224cf64a

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Oct 22 20:01:37 2020 @author: apurvabadithelSETT""" import networkx as nx import time import pickle as pkl import random import os import numpy as np import matplotlib.pyplot as plt from matplotlib.pyplot import cm from networkx.algorithms.flow import shortest_augmenting_path, edmonds_karp import sys sys.path.append('../') from src.grid_functions import construct_grid, plot_static_map, base_grid, plot_final_map, plot_augment_paths from src.simulation_helpers import run_iterations, run_iterations_SAPs, run_iterations_random_graph from time import gmtime, strftime plt.rcParams['mathtext.fontset'] = 'custom' plt.rcParams['mathtext.rm'] = 'Bitstream Vera Sans' plt.rcParams['mathtext.it'] = 'Bitstream Vera Sans:italic' plt.rcParams['mathtext.bf'] = 'Bitstream Vera Sans:bold' #===============================================================================================# # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Plot Figures ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # #===============================================================================================# # Plotting Figures: def plot_parametrized_figure(KEY, t, P, no_diag_data, diag_data=None): fig, ax = plt.subplots() RUNTIME = no_diag_data[0] RUNTIME_STD = no_diag_data[1] TIME_OUT = no_diag_data[2] ITER = no_diag_data[3] ILP_ITER = no_diag_data[4] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,len(Pk)))) # Colors color = ['b', 'g'] max_y = 0 max_yerr = 0 xlabels = [str(tuple(ti)) for ti in t] transform = [-0.05, 0, 0.05] for jj in range(len(Pk)): y = [] x = [] xticks = [] space = transform[jj] yerr= [] c = color[jj] for ii in range(len(t)): R_ii = RUNTIME[ii] Rt = RUNTIME_STD[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(ii+1 + space) xticks.append(ii+1) y.append(R_ii[jj]) yerr.append(Rt[jj]) if max(y) > max_y: max_y = max(y) if max(yerr)> max_yerr: max_yerr = max(yerr) yerr= 0.434*np.array(yerr/y) plt.errorbar(x, y, yerr=yerr, c = c, alpha=.75, fmt=':', capsize=3, capthick=1, ls ='-', marker='o', linewidth=2, markersize=3, label=r'$|P| = $%s' % str(Pk[jj])) # total no. of props (including goal) # plt.errorbar(x,y,yerr=yerr) ax.set_xticks(xticks) ax.set_xticklabels(tuple(xlabels)) plt.yscale('log', nonposy='clip') # ax.set_yticks(np.arange(0, int(max_y+max_yerr)), (max_y+max_yerr)//1) if diag_data: RUNTIME = diag_data[0] RUNTIME_STD = diag_data[1] TIME_OUT = diag_data[2] ITER = diag_data[3] ILP_ITER = diag_data[4] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,2*len(Pk)))) # Colors max_y = 0 max_yerr=0 for jj in range(len(Pk)): y = [] x = [] xticks = [] space = transform[jj] yerr = [] c = 'o--'+str(next(color)) for ii in range(len(t)): R_ii = RUNTIME[ii] Rt = RUNTIME_STD[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(ii+1 + space) xticks.append(ii+1) y.append(R_ii[jj]) yerr.append(Rt[jj]) if max(y) > max_y: max_y = max(y) if max(yerr)> max_yerr: max_yerr = max(yerr) plt.errorbar(x, y, yerr = yerr, c =c, linewidth=2, markersize=2, label=r'diag: $|P| = $%s' % str(Pk[jj]+1)) #ax.plot(x, y, yerr=yerr) plt.legend() ax.set(xlabel='Grid size (M,N)', ylabel='Runtime (s)') # fig.savefig(KEY+".csv") fig.savefig(KEY+".png", dpi=300) return fig, ax # Run parametrized figure for square grids: def plot_parametrized_figure_square_grids(KEY, t, P, no_diag_data, diag_data=None): fig, ax = plt.subplots() RUNTIME = no_diag_data[0] RUNTIME_STD = no_diag_data[1] TIME_OUT = no_diag_data[2] ITER = no_diag_data[3] ILP_ITER = no_diag_data[4] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,len(Pk)))) # Colors color = ['b', 'g', 'm'] max_y = 0 max_yerr = 0 xlabels = t transform = [-0.05, 0, 0.05] for jj in range(len(Pk)): y = [] x = [] yerr=[] xticks = [] space = transform[jj] c = color[jj] for ii in range(len(t)): R_ii = RUNTIME[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] Rt = RUNTIME_STD[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(ii+1 + space) xticks.append(ii+1) y.append(R_ii[jj]) yerr.append(Rt[jj]) if max(y) > max_y: max_y = max(y) if max(yerr)> max_yerr: max_yerr = max(yerr) plt.errorbar(x, y, yerr = yerr, c = c, alpha=.75, fmt=':', capsize=3, capthick=1, ls ='-', marker='o', linewidth=2, markersize=3, label=r'$|P| = $%s' % str(Pk[jj])) # total no. of props (including goal) # plt.errorbar(x,y,yerr=yerr) ax.set_xticks(xticks) ax.set_xticklabels(t) plt.yscale('log', nonposy='clip') # ax.set_yticks(np.arange(0, int(max_y+max_yerr)), (max_y+max_yerr)//1) if diag_data: RUNTIME = diag_data[0] RUNTIME_STD = diag_data[1] TIME_OUT = diag_data[2] ITER = diag_data[3] ILP_ITER = diag_data[4] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,2*len(Pk)))) # Colors for jj in range(len(Pk)): y = [] x = [] yerr= [] xticks = [] space = transform[jj] c = 'o--'+str(next(color)) for ii in range(len(t)): R_ii = RUNTIME[ii] Rt = RUNTIME_STD[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(ii+1+space) xticks.append(ii+1) y.append(R_ii[jj]) yerr.append(Rt[jj]) plt.errorbar(x, y, yerr = yerr, c = c, alpha=.75, fmt=':', capsize=3, capthick=1, ls ='-', marker='o', linewidth=2, markersize=3, label=r'$|P| = $%s' % str(Pk[jj])) plt.legend() ax.set(xlabel='Grid size (t)', ylabel='Runtime (s)') # fig.savefig(KEY+".csv") fig.savefig(KEY+".png") return fig, ax # Plotting Figures: def plot_parametrized_figure_rg(KEY, M, N, P, no_diag_data, diag_data=None): fig, ax = plt.subplots() RUNTIME = no_diag_data[0] TIME_OUT = no_diag_data[1] ITER = no_diag_data[2] ILP_ITER = no_diag_data[3] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,len(Pk)))) # Colors color = iter(['b', 'k']) for jj in range(len(Pk)): y = [] x = [] c = next(color) for ii in range(len(M)): R_ii = RUNTIME[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(M[ii]) y.append(R_ii[jj]) ax.plot(x, y, c = c, ls ='-', marker='o', linewidth=2, markersize=2, label=r'$|P| = $%s' % str(Pk[jj]+1)) ax.set_title(N+" edges") ax.set_xticks(M) ax.set_yticks(np.arange(0, int(max(y))+1, 0.5)) if diag_data: RUNTIME = diag_data[0] TIME_OUT = diag_data[1] ITER = diag_data[2] ILP_ITER = diag_data[3] Pk = P[0] # largest Pk color=iter(cm.rainbow(np.linspace(0,1,2*len(Pk)))) # Colors for jj in range(len(Pk)): y = [] x = [] c = 'o--'+str(next(color)) for ii in range(len(M)): R_ii = RUNTIME[ii] Tout_ii = TIME_OUT[ii] N_ii = ITER[ii] N_ilp_ii = ILP_ITER[ii] Pii = P[ii] assert(len(R_ii) == len(Tout_ii)) if jj < len(R_ii): x.append(M[ii]) y.append(R_ii[jj]) ax.plot(x, y, c, linewidth=2, markersize=2, label=r'diag: $|P| = $%s' % str(Pk[jj]+1)) plt.legend() ax.set(xlabel='Number of nodes (n)', ylabel='Runtime (s)') # fig.savefig(KEY+".csv") name = "Data/random_"+str(KEY)+"_"+str(N)+"_" figname = name + "#"+".png" fig.savefig(figname, dpi = 300) return fig, ax # Function to save data: def save_data(KEY, t, P, no_diag_data, diag_data=None): current_directory = os.getcwd() name = "Data/New/#/param_grid_"+str(KEY) name = name.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) final_directory = os.path.join(current_directory, name) if not os.path.exists(final_directory): os.makedirs(final_directory) # =============== No diagonal data ============================== # ft = name + "_rows"+".dat" # ft = ft.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(t, open(ft,"wb")) # ft.close() fP = name + "_"+"P"+".dat" # fP = fP.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(P, open(fP,"wb")) # fP.close() ftime_avg = name + "_"+"time_avg"+".dat" # ftime_avg = ftime_avg.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[0], open(ftime_avg,"wb")) # ftime_avg.close() TIME_AVG_STD_DEV = name + "_"+"time_avg_std_dev"+".dat" # ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[1], open(TIME_AVG_STD_DEV,"wb")) ftimed_out = name + "_"+"timed_out"+".dat" # ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[2], open(ftimed_out,"wb")) # ftimed_out.close() ftotal_iter = name+ "_"+"total_iter"+".dat" # ftotal_iter = ftotal_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[3], open(ftotal_iter,"wb")) # ftotal_iter.close() fILP_iter = name+ "_"+"ILP"+".dat" # fILP_iter = fILP_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[4], open(fILP_iter,"wb")) # fILP_iter.close() # =============== Diagonal data ============================== # if diag_data: name = "Data/#/DIAG_param_grid_"+str(KEY) name = name.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) ft = name + "_"+"t"+".dat" # ft = ft.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(t, open(ft,"wb")) # ft.close() fP = name + "_"+"P"+".dat" # fP = fP.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(P, open(fP,"wb")) # fP.close() ftime_avg = name + "_"+"time_avg"+".dat" # ftime_avg = ftime_avg.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[0], open(ftime_avg,"wb")) # ftime_avg.close() TIME_AVG_STD_DEV = name + "_"+"time_avg_std_dev"+".dat" # ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[1], open(TIME_AVG_STD_DEV,"wb")) ftimed_out = name + "_"+"timed_out"+".dat" # ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[2], open(ftimed_out,"wb")) ftotal_iter = name+ "_"+"total_iter"+".dat" # ftotal_iter = ftotal_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[3], open(ftotal_iter,"wb")) # ftotal_iter.close() fILP_iter = name+ "_"+"ILP"+".dat" # fILP_iter = fILP_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[4], open(fILP_iter,"wb")) # fILP_iter.close() # Function to save data for random graphs: def save_data_random_graph(KEY, M, N, P, no_diag_data, diag_data=None): name = "Data/param_grid_"+str(KEY)+"_"+str(N) # =============== No diagonal data ============================== # ft = name + "_"+"grids"+"_#"+".dat" ft = ft.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(M, open(ft,"wb")) # ft.close() fP = name + "_"+"P"+"_#"+".dat" fP = fP.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(P, open(fP,"wb")) # fP.close() ftime_avg = name + "_"+"time_avg"+"_#"+".dat" ftime_avg = ftime_avg.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[0], open(ftime_avg,"wb")) # ftime_avg.close() ftimed_out = name + "_"+"timed_out"+"_#"+".dat" ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[1], open(ftimed_out,"wb")) # ftimed_out.close() ftotal_iter = name+ "_"+"total_iter"+"_#"+".dat" ftotal_iter = ftotal_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[2], open(ftotal_iter,"wb")) # ftotal_iter.close() fILP_iter = name+ "_"+"ILP"+"_#"+".dat" fILP_iter = fILP_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(no_diag_data[3], open(fILP_iter,"wb")) # fILP_iter.close() # =============== Diagonal data ============================== # if diag_data: name = "param_grid_"+str(KEY)+"_"+str(N) ft = name + "_"+"M"+"_#"+".dat" ft = ft.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(M, open(ft,"wb")) # ft.close() fP = name + "_"+"P"+"_#"+".dat" fP = fP.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(P, open(fP,"wb")) # fP.close() ftime_avg = name + "_"+"time_avg"+"_#"+".dat" ftime_avg = ftime_avg.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[0], open(ftime_avg,"wb")) # ftime_avg.close() ftimed_out = name + "_"+"timed_out"+"_#"+".dat" ftimed_out = ftimed_out.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[1], open(ftimed_out,"wb")) # ftimed_out.close() ftotal_iter = name+ "_"+"total_iter"+"_#"+".dat" ftotal_iter = ftotal_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[2], open(ftotal_iter,"wb")) # ftotal_iter.close() fILP_iter = name+ "_"+"ILP"+"_#"+".dat" fILP_iter = fILP_iter.replace("#", strftime("%Y_%m_%d_%H_%M_%S", gmtime())) pkl.dump(diag_data[3], open(fILP_iter,"wb")) # fILP_iter.close() # ==============================================================================================# # Parametrized gridworld iterative solver: #===============================================================================================# # Running SAP_augmented_paths constraints: def run_SAPs(diag): Niter = 50 # No. of iterations for each example # t = [3,4,5,6,7, 8, 9] # Grid size t = [4,5,6,7,8] # Grid size lM = len(t) lN = len(t) P = [[3,4] for ii in range(len(t))] time_arr_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_no_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_avg_std_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem time_avg_std_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_arr_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_diag = [[] for iM in range(lM)] # Stores no. of infeasible iterations fail_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible fail_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_ILP_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_ILP_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible KEY = "SAP" # Use only SAP constraints for ii in range(lM): iM = t[ii] iN = t[ii] nstates = iM*iN nprops = P[ii] nP = len(nprops)# No. of propositions time_arr_iM_iN_no_diag = [0 for inP in range(nP)] time_avg_std_iM_iN_no_diag = [0 for inP in range(nP)] timed_out_iM_iN_no_diag = [0 for inP in range(nP)] total_iteration_iM_iN_no_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_no_diag = [0 for inP in range(nP)] if diag: time_arr_iM_iN_diag = [0 for inP in range(nP)] time_avg_std_iM_iN_diag = [0 for inP in range(nP)] timed_out_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_no_diag = [0 for inP in range(nP)] total_iteration_iM_iN_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_diag = [0 for inP in range(nP)] for inP in range(len(nprops)): n_inP = nprops[inP] print("Computing data for t = "+str(iM)+" and nprops = "+str(n_inP)) time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations_SAPs(iM, iN, n_inP, Niter, False, KEY) # Nodiagonal transitions time_avg_std_iM_iN_no_diag[inP-1] = time_avg_std time_arr_iM_iN_no_diag[inP-1] = time_avg timed_out_iM_iN_no_diag[inP-1] = timed_out_avg total_iteration_iM_iN_no_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg if diag: time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations_SAPs(iM, iN, inP, Niter, True, KEY) # Nodiagonal transitions time_arr_iM_iN_diag[inP-1] = time_avg time_avg_std_iM_iN_diag[inP-1] = time_avg_std timed_out_iM_iN_diag[inP-1] = timed_out_avg total_iteration_iM_iN_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg time_arr_no_diag[ii] = time_arr_iM_iN_no_diag.copy() time_avg_std_no_diag[ii] = time_avg_std_iM_iN_no_diag.copy() timed_out_num_no_diag[ii] = timed_out_iM_iN_no_diag.copy() total_iterations_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() total_iterations_ILP_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() if diag: time_arr_diag[ii] = time_arr_iM_iN_diag.copy() time_avg_std_diag[ii] = time_avg_std_iM_iN_diag.copy() timed_out_num_diag[ii] = timed_out_iM_iN_diag.copy() total_iterations_diag[ii] = total_iteration_iM_iN_diag.copy() total_iterations_ILP_diag[ii] = total_iteration_iM_iN_diag.copy() # no diagonals: if diag: save_data(KEY, t[ii], P, [time_arr_iM_iN_no_diag, time_avg_std_iM_iN_no_diag, timed_out_iM_iN_no_diag, total_iteration_iM_iN_no_diag, total_ILP_iteration_iM_iN_no_diag],[time_arr_iM_iN_diag, time_avg_std_iM_iN_diag, timed_out_iM_iN_diag, total_iteration_iM_iN_diag, total_ILP_iteration_iM_iN_diag]) else: save_data(KEY, t[ii], P, [time_arr_iM_iN_no_diag, time_avg_std_iM_iN_no_diag, timed_out_iM_iN_no_diag, total_iteration_iM_iN_no_diag, total_ILP_iteration_iM_iN_no_diag]) # ,[time_arr_diag, time_avg_std_diag, timed_out_num_diag, total_iterations_diag, total_iterations_ILP_diag]) if diag: fig, ax = plot_parametrized_figure_square_grids(KEY, t, P, [time_arr_no_diag, time_avg_std_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag],[time_arr_diag, time_avg_std_diag, timed_out_num_diag, total_iterations_diag, total_iterations_ILP_diag]) else: fig, ax = plot_parametrized_figure_square_grids(KEY, t, P, [time_arr_no_diag, time_avg_std_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag]) #,[time_arr_diag, time_avg_std_diag, timed_out_num_diag, total_iterations_diag, total_iterations_ILP_diag]) return fig, ax # Running ALL_augmented_paths constraints: def run_ALL(diag): Niter = 50 # No. of iterations for each example t = [[3,3],[3,4],[3,5],[4,4]] # Grid size # t = [[3,3],[3,4]] lM = len(t) lN = len(t) P = [[2,3], [2,3], [2,3], [2,3], [2,3]] time_arr_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_no_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_avg_std_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem time_avg_std_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_arr_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_diag = [[] for iM in range(lM)] # Stores no. of infeasible iterations fail_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible fail_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_ILP_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_ILP_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible KEY = "ALL" # Use all simple path constraints: for ii in range(lM): iM = t[ii][0] iN = t[ii][1] nstates = iM*iN nprops = P[ii] nP = len(nprops)# No. of propositions time_arr_iM_iN_no_diag = [0 for inP in range(nP)] time_avg_std_iM_iN_no_diag = [0 for inP in range(nP)] timed_out_iM_iN_no_diag = [0 for inP in range(nP)] time_arr_iM_iN_diag = [0 for inP in range(nP)] time_avg_std_iM_iN_diag = [0 for inP in range(nP)] timed_out_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_no_diag = [0 for inP in range(nP)] total_iteration_iM_iN_diag = [0 for inP in range(nP)] total_iteration_iM_iN_no_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_no_diag = [0 for inP in range(nP)] for inP in range(len(nprops)): n_inP = nprops[inP] print("Computing data for rows = "+str(iM)+" and cols = "+str(iN)+"and nprops = "+str(n_inP)) time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations(iM, iN, n_inP, Niter, False, KEY) # Nodiagonal transitions time_avg_std_iM_iN_no_diag[inP-1] = time_avg_std time_arr_iM_iN_no_diag[inP-1] = time_avg timed_out_iM_iN_no_diag[inP-1] = timed_out_avg total_iteration_iM_iN_no_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg if diag: time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations(iM, iN, inP, Niter, True, KEY) # Nodiagonal transitions time_arr_iM_iN_diag[inP-1] = time_avg time_avg_std_iM_iN_diag[inP-1] = time_avg_std timed_out_iM_iN_diag[inP-1] = timed_out_avg total_iteration_iM_iN_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg time_arr_no_diag[ii] = time_arr_iM_iN_no_diag.copy() time_avg_std_no_diag[ii] = time_avg_std_iM_iN_no_diag.copy() timed_out_num_no_diag[ii] = timed_out_iM_iN_no_diag.copy() total_iterations_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() total_iterations_ILP_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() # With diagonals: save_data(KEY, t, P, [time_arr_no_diag, time_avg_std_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag]) fig, ax = plot_parametrized_figure(KEY, t, P, [time_arr_no_diag, time_avg_std_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag]) return fig, ax # ==================================================================================================== # Random Graphs # ==================================================================================================== # Running SAP_augmented_paths constraints: def run_rg_SAPs(): Niter = 20 # No. of iterations for each example t = [3,4,5,6,7] # Grid size lM = len(t) lN = len(t) P = [[2,3,4], [2,3], [2,3], [2,3], [2,3]] time_arr_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_no_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_arr_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_diag = [[] for iM in range(lM)] # Stores no. of infeasible iterations fail_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible fail_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_ILP_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_ILP_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible KEY = "SAP" # Use only SAP constraints for ii in range(lM): iM = t[ii] iN = t[ii] nstates = iM*iN nprops = P[ii] nP = len(nprops)# No. of propositions time_arr_iM_iN_no_diag = [0 for inP in range(nP)] timed_out_iM_iN_no_diag = [0 for inP in range(nP)] time_arr_iM_iN_diag = [0 for inP in range(nP)] timed_out_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_diag = [0 for inP in range(nP)] fail_iM_iN_no_diag = [0 for inP in range(nP)] total_iteration_iM_iN_diag = [0 for inP in range(nP)] total_iteration_iM_iN_no_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_no_diag = [0 for inP in range(nP)] for inP in range(len(nprops)): n_inP = nprops[inP] print("Computing data for t = "+str(iM)+" and nprops = "+str(n_inP)) time_avg, timed_out_avg, total_iter_avg, total_ILP_avg = run_iterations(iM, iN, n_inP, Niter, False, KEY) # Nodiagonal transitions time_arr_iM_iN_no_diag[inP-1] = time_avg timed_out_iM_iN_no_diag[inP-1] = timed_out_avg total_iteration_iM_iN_no_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg time_avg, timed_out_avg, total_iter_avg, total_ILP_avg = run_iterations(iM, iN, inP, Niter, True, KEY) # Nodiagonal transitions time_arr_iM_iN_diag[inP-1] = time_avg timed_out_iM_iN_diag[inP-1] = timed_out_avg total_iteration_iM_iN_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg time_arr_no_diag[ii] = time_arr_iM_iN_no_diag.copy() timed_out_num_no_diag[ii] = timed_out_iM_iN_no_diag.copy() time_arr_diag[ii] = time_arr_iM_iN_diag.copy() timed_out_num_diag[ii] = timed_out_iM_iN_diag.copy() total_iterations_diag[ii] = total_iteration_iM_iN_diag.copy() total_iterations_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() total_iterations_ILP_diag[ii] = total_iteration_iM_iN_diag.copy() total_iterations_ILP_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() # no diagonals: save_data(KEY, t, P, [time_arr_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag], [time_arr_diag, timed_out_num_diag, total_iterations_diag, total_iterations_ILP_diag]) fig, ax = plot_parametrized_figure(KEY, t, P, [time_arr_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag], [time_arr_diag, timed_out_num_diag, total_iterations_diag, total_iterations_ILP_diag]) FIG = [] AX = [] return FIG, AX # Running ALL_augmented_paths constraints: def run_rg_ALL(): FIG = [] AX = [] Niter = 2 # No. of iterations for each example M = [9,10,11,12,13,14] # Number of nodes N = [lambda M: 2*M, lambda M: 3*M]#, lambda M: int(np.floor(M*(M-1)/4))] # No. of edges lM = len(M) formula = ["2N", "3N"] # lN = len(t) for ilN in range(len(N)): N_expr = N[ilN] flN = formula[ilN]# Formula P = [[2,3], [2,3], [2,3], [2,3], [2,3], [2,3], [2], [2]] # For each N, how many props for every graph time_arr_no_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_no_diag = [[] for iM in range(lM)]# Stores no. of infeasible iterations time_arr_diag = [[] for iM in range(lM)] # Stores time taking to solve a problem timed_out_num_diag = [[] for iM in range(lM)] # Stores no. of infeasible iterations fail_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible fail_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible total_iterations_ILP_no_diag = [[] for iM in range(lM)] # iterations when no diagonal transitions are possible total_iterations_ILP_diag = [[] for iM in range(lM)] # Iterations when diagonal transitions are possible KEY = "ALL" # Use all simple path constraints: for ii in range(lM): iM = M[ii] iN = N_expr(M[ii]) nstates = iM*iN nprops = P[ii] nP = len(nprops)# No. of propositions time_arr_iM_iN_no_diag = [0 for inP in range(nP)] timed_out_iM_iN_no_diag = [0 for inP in range(nP)] total_iteration_iM_iN_no_diag = [0 for inP in range(nP)] total_ILP_iteration_iM_iN_no_diag = [0 for inP in range(nP)] for inP in range(len(nprops)): n_inP = nprops[inP] print("Computing data for t = "+str(iM)+" and nprops = "+str(n_inP)) time_avg, timed_out_avg, total_iter_avg, total_ILP_avg, time_avg_std = run_iterations_random_graph(iM, iN, n_inP, Niter, False, KEY) # Nodiagonal transitions time_arr_iM_iN_no_diag[inP-1] = time_avg timed_out_iM_iN_no_diag[inP-1] = timed_out_avg total_iteration_iM_iN_no_diag[inP-1] = total_iter_avg total_ILP_iteration_iM_iN_no_diag[inP-1] = total_ILP_avg time_arr_no_diag[ii] = time_arr_iM_iN_no_diag.copy() timed_out_num_no_diag[ii] = timed_out_iM_iN_no_diag.copy() total_iterations_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() total_iterations_ILP_no_diag[ii] = total_iteration_iM_iN_no_diag.copy() # With diagonals: save_data_random_graph(KEY, M, flN, P, [time_arr_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag]) fig, ax = plot_parametrized_figure_rg(KEY, M, flN, P, [time_arr_no_diag, timed_out_num_no_diag, total_iterations_no_diag, total_iterations_ILP_no_diag]) FIG.append(fig) AX.append(ax) return FIG, AX if __name__ == '__main__': print("Running all_augmenting paths simulations for random gridworlds") fig, ax = run_ALL(False) print("Running shortest_augmenting_paths simulations for random gridworlds") fig2, ax2 = run_SAPs(False) plt.show()

47.477401

310

0.594395

5,104

33,614

3.584835

0.056622

0.057714

0.022955

0.038258

0.91075

0.89818

0.876537

0.86342

0.859868

0.852599

0

0.012624

0.25061

33,614

708

311

47.477401

0.713736

0.184774

0

0.775986

0

0.050237

0.002572

0

0.010753

1

0.016129

false

0

0.023297

0

0.051971

0.010753

0

null

0

1

0

1

0

null

0

7

d1d32b0e5a8f6bf412a272c712160c608c3cda1d

163

py

Python

SPOJ/Random/AGS/gen.py

VastoLorde95/Competitive-Programming

6c990656178fb0cd33354cbe5508164207012f24

[ "MIT" ]

170

2017-07-25T14:47:29.000Z

2022-01-26T19:16:31.000Z

SPOJ/Random/AGS/gen.py

navodit15/Competitive-Programming

6c990656178fb0cd33354cbe5508164207012f24

[ "MIT" ]

null

SPOJ/Random/AGS/gen.py

navodit15/Competitive-Programming

6c990656178fb0cd33354cbe5508164207012f24

[ "MIT" ]

55

2017-07-28T06:17:33.000Z

2021-10-31T03:06:22.000Z

from random import randrange print 100 a,b,c = randrange(100000000),randrange(100000000),randrange(100000000) for i in xrange(1,101): print a,b,c print i, 10000

23.285714

70

0.766871

28

163

4.464286

0.607143

0.432

0.048

0.576

0

0.272727

0.122699

163

6

71

27.166667

0.601399

0

null

0

0.166667

null

0.5

1

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

7

ae7472849a54187a27cee0f5cbae547f9b8f9e5c

101

py

Python

utility.py

sethorpe/translinkautohw

3381df8a0e98d29b4850efc36345430682dbe4cd

[ "MIT-0" ]

null

utility.py

sethorpe/translinkautohw

3381df8a0e98d29b4850efc36345430682dbe4cd

[ "MIT-0" ]

null

utility.py

sethorpe/translinkautohw

3381df8a0e98d29b4850efc36345430682dbe4cd

[ "MIT-0" ]

null

import datetime def current_time(): return datetime.datetime.now().strftime("%H_%M_%S_%d_%m_%Y")

25.25

64

0.722772

16

101

4.1875

0.8125

0

0.09901

101

4

64

25.25

0.736264

0

0.166667

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

ae7b6ec133e883073900b73434496f10078720d1

148

py

Python

models/bart/__init__.py

launchnlp/cliff_summ

813a71f9ab8f379af9b47a784b34d6216e6c2b27

[ "Apache-2.0" ]

null

models/bart/__init__.py

launchnlp/cliff_summ

813a71f9ab8f379af9b47a784b34d6216e6c2b27

[ "Apache-2.0" ]

null

models/bart/__init__.py

launchnlp/cliff_summ

813a71f9ab8f379af9b47a784b34d6216e6c2b27

[ "Apache-2.0" ]

null

from . import contrastive_translation from . import contrastive_loss from . import contrastive_translation_multi_neg from . import constrative_bart

29.6

47

0.864865

18

148

6.777778

0.5

0.327869

0.516393

0.52459

0

0.108108

148

4

48

37

0.924242

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

ae94af391bca7b8a3da61a18f4c73d791b8ac87e

260,121

py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_syslog_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_syslog_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_syslog_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

""" Cisco_IOS_XR_infra_syslog_cfg This module contains a collection of YANG definitions for Cisco IOS\-XR infra\-syslog package configuration. This module contains definitions for the following management objects\: syslog\-service\: Syslog Timestamp Services syslog\: syslog Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved. """ import re import collections from enum import Enum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk.errors import YPYError, YPYModelError class FacilityEnum(Enum): """ FacilityEnum Facility .. data:: kern = 0 Kernel Facility .. data:: user = 8 User Facility .. data:: mail = 16 Mail Facility .. data:: daemon = 24 Daemon Facility .. data:: auth = 32 Auth Facility .. data:: syslog = 40 Syslog Facility .. data:: lpr = 48 Lpr Facility .. data:: news = 56 News Facility .. data:: uucp = 64 Uucp Facility .. data:: cron = 72 Cron Facility .. data:: authpriv = 80 Authpriv Facility .. data:: ftp = 88 Ftp Facility .. data:: local0 = 128 Local0 Facility .. data:: local1 = 136 Local1 Facility .. data:: local2 = 144 Local2 Facility .. data:: local3 = 152 Local3 Facility .. data:: local4 = 160 Local4 Facility .. data:: local5 = 168 Local5 Facility .. data:: local6 = 176 Local6 Facility .. data:: local7 = 184 Local7 Facility .. data:: sys9 = 192 System9 Facility .. data:: sys10 = 200 System10 Facility .. data:: sys11 = 208 System11 Facility .. data:: sys12 = 216 System12 Facility .. data:: sys13 = 224 System13 Facility .. data:: sys14 = 232 System14 Facility """ kern = 0 user = 8 mail = 16 daemon = 24 auth = 32 syslog = 40 lpr = 48 news = 56 uucp = 64 cron = 72 authpriv = 80 ftp = 88 local0 = 128 local1 = 136 local2 = 144 local3 = 152 local4 = 160 local5 = 168 local6 = 176 local7 = 184 sys9 = 192 sys10 = 200 sys11 = 208 sys12 = 216 sys13 = 224 sys14 = 232 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['FacilityEnum'] class LogCollectFrequencyEnum(Enum): """ LogCollectFrequencyEnum Log collect frequency .. data:: weekly = 1 Collect log in files on a weekly basis .. data:: daily = 2 Collect log in files on a daily basis """ weekly = 1 daily = 2 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LogCollectFrequencyEnum'] class LogMessageSeverityEnum(Enum): """ LogMessageSeverityEnum Log message severity .. data:: emergency = 0 System is unusable (severity=0) .. data:: alert = 1 Immediate action needed (severity=1) .. data:: critical = 2 Critical conditions (severity=2) .. data:: error = 3 Error conditions (severity=3) .. data:: warning = 4 Warning conditions (severity=4) .. data:: notice = 5 Normal but significant conditions (severity=5) .. data:: informational = 6 Informational messages (severity=6) .. data:: debug = 7 Debugging messages (severity=7) """ emergency = 0 alert = 1 critical = 2 error = 3 warning = 4 notice = 5 informational = 6 debug = 7 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LogMessageSeverityEnum'] class LogSeverityEnum(Enum): """ LogSeverityEnum Log severity .. data:: emergency = 0 System is unusable (severity=0) .. data:: alert = 1 Immediate action needed (severity=1) .. data:: critical = 2 Critical conditions (severity=2) .. data:: error = 3 Error conditions (severity=3) .. data:: warning = 4 Warning conditions (severity=4) .. data:: notice = 5 Normal but significant conditions (severity=5) .. data:: informational = 6 Informational messages (severity=6) .. data:: debug = 7 Debugging messages (severity=7) """ emergency = 0 alert = 1 critical = 2 error = 3 warning = 4 notice = 5 informational = 6 debug = 7 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LogSeverityEnum'] class LoggingDscpEnum(Enum): """ LoggingDscpEnum Logging dscp .. data:: dscp = 1 Logging TOS type DSCP """ dscp = 1 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingDscpEnum'] class LoggingDscpValueEnum(Enum): """ LoggingDscpValueEnum Logging dscp value .. data:: default = 0 Applicable to DSCP: bits 000000 .. data:: af11 = 10 Applicable to DSCP: bits 001010 .. data:: af12 = 12 Applicable to DSCP: bits 001100 .. data:: af13 = 14 Applicable to DSCP: bits 001110 .. data:: af21 = 18 Applicable to DSCP: bits 010010 .. data:: af22 = 20 Applicable to DSCP: bits 010100 .. data:: af23 = 22 Applicable to DSCP: bits 010110 .. data:: af31 = 26 Applicable to DSCP: bits 011010 .. data:: af32 = 28 Applicable to DSCP: bits 011100 .. data:: af33 = 30 Applicable to DSCP: bits 011110 .. data:: af41 = 34 Applicable to DSCP: bits 100010 .. data:: af42 = 36 Applicable to DSCP: bits 100100 .. data:: af43 = 38 Applicable to DSCP: bits 100110 .. data:: ef = 46 Applicable to DSCP: bits 101110 .. data:: cs1 = 8 Applicable to DSCP: bits 001000 .. data:: cs2 = 16 Applicable to DSCP: bits 010000 .. data:: cs3 = 24 Applicable to DSCP: bits 011000 .. data:: cs4 = 32 Applicable to DSCP: bits 100000 .. data:: cs5 = 40 Applicable to DSCP: bits 101000 .. data:: cs6 = 48 Applicable to DSCP: bits 110000 .. data:: cs7 = 56 Applicable to DSCP: bits 111000 """ default = 0 af11 = 10 af12 = 12 af13 = 14 af21 = 18 af22 = 20 af23 = 22 af31 = 26 af32 = 28 af33 = 30 af41 = 34 af42 = 36 af43 = 38 ef = 46 cs1 = 8 cs2 = 16 cs3 = 24 cs4 = 32 cs5 = 40 cs6 = 48 cs7 = 56 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingDscpValueEnum'] class LoggingLevelsEnum(Enum): """ LoggingLevelsEnum Logging levels .. data:: emergency = 0 Emergency Level Msg .. data:: alert = 1 Alert Level Msg .. data:: critical = 2 Critical Level Msg .. data:: error = 3 Error Level Msg .. data:: warning = 4 Warning Level Msg .. data:: notice = 5 Notification Level Msg .. data:: info = 6 Informational Level Msg .. data:: debug = 7 Debugging Level Msg .. data:: disable = 15 Disable logging """ emergency = 0 alert = 1 critical = 2 error = 3 warning = 4 notice = 5 info = 6 debug = 7 disable = 15 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingLevelsEnum'] class LoggingPrecedenceEnum(Enum): """ LoggingPrecedenceEnum Logging precedence .. data:: precedence = 0 Logging TOS type precedence """ precedence = 0 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingPrecedenceEnum'] class LoggingPrecedenceValueEnum(Enum): """ LoggingPrecedenceValueEnum Logging precedence value .. data:: routine = 0 Applicable to precedence: value 0 .. data:: priority = 1 Applicable to precedence: value 1 .. data:: immediate = 2 Applicable to precedence: value 2 .. data:: flash = 3 Applicable to precedence: value 3 .. data:: flash_override = 4 Applicable to precedence: value 4 .. data:: critical = 5 Applicable to precedence: value 5 .. data:: internet = 6 Applicable to precedence: value 6 .. data:: network = 7 Applicable to precedence: value 7 """ routine = 0 priority = 1 immediate = 2 flash = 3 flash_override = 4 critical = 5 internet = 6 network = 7 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingPrecedenceValueEnum'] class LoggingTosEnum(Enum): """ LoggingTosEnum Logging tos .. data:: precedence = 0 Logging TOS type precedence .. data:: dscp = 1 Logging TOS type DSCP """ precedence = 0 dscp = 1 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['LoggingTosEnum'] class TimeInfoEnum(Enum): """ TimeInfoEnum Time info .. data:: disable = 0 Exclude .. data:: enable = 1 Include """ disable = 0 enable = 1 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['TimeInfoEnum'] class SyslogService(object): """ Syslog Timestamp Services .. attribute:: timestamps Timestamp debug/log messages configuration **type**\: :py:class:`Timestamps <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.timestamps = SyslogService.Timestamps() self.timestamps.parent = self class Timestamps(object): """ Timestamp debug/log messages configuration .. attribute:: debug Timestamp debug messages **type**\: :py:class:`Debug <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Debug>` .. attribute:: enable Enable timestamp debug/log messages **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: log Timestamp log messages **type**\: :py:class:`Log <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Log>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.debug = SyslogService.Timestamps.Debug() self.debug.parent = self self.enable = None self.log = SyslogService.Timestamps.Log() self.log.parent = self class Log(object): """ Timestamp log messages .. attribute:: log_datetime Timestamp with date and time **type**\: :py:class:`LogDatetime <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Log.LogDatetime>` .. attribute:: log_timestamp_disable Disable timestamp log messages **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: log_uptime Timestamp with systime uptime **type**\: :py:class:`Empty<ydk.types.Empty>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.log_datetime = SyslogService.Timestamps.Log.LogDatetime() self.log_datetime.parent = self self.log_timestamp_disable = None self.log_uptime = None class LogDatetime(object): """ Timestamp with date and time .. attribute:: log_datetime_value Set timestamp for log message **type**\: :py:class:`LogDatetimeValue <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Log.LogDatetime.LogDatetimeValue>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.log_datetime_value = SyslogService.Timestamps.Log.LogDatetime.LogDatetimeValue() self.log_datetime_value.parent = self class LogDatetimeValue(object): """ Set timestamp for log message .. attribute:: msec Seconds **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **units**\: second **default value**\: enable .. attribute:: time_stamp_value Time **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: enable .. attribute:: time_zone Timezone **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: disable .. attribute:: year Year **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: disable """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.msec = None self.time_stamp_value = None self.time_zone = None self.year = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:log/Cisco-IOS-XR-infra-syslog-cfg:log-datetime/Cisco-IOS-XR-infra-syslog-cfg:log-datetime-value' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.msec is not None: return True if self.time_stamp_value is not None: return True if self.time_zone is not None: return True if self.year is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Log.LogDatetime.LogDatetimeValue']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:log/Cisco-IOS-XR-infra-syslog-cfg:log-datetime' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.log_datetime_value is not None and self.log_datetime_value._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Log.LogDatetime']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:log' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.log_datetime is not None and self.log_datetime._has_data(): return True if self.log_timestamp_disable is not None: return True if self.log_uptime is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Log']['meta_info'] class Debug(object): """ Timestamp debug messages .. attribute:: debug_datetime Timestamp with date and time **type**\: :py:class:`DebugDatetime <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Debug.DebugDatetime>` .. attribute:: debug_timestamp_disable Disable timestamp debug messages **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: debug_uptime Timestamp with systime uptime **type**\: :py:class:`Empty<ydk.types.Empty>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.debug_datetime = SyslogService.Timestamps.Debug.DebugDatetime() self.debug_datetime.parent = self self.debug_timestamp_disable = None self.debug_uptime = None class DebugDatetime(object): """ Timestamp with date and time .. attribute:: datetime_value Set time format for debug msg **type**\: :py:class:`DatetimeValue <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.SyslogService.Timestamps.Debug.DebugDatetime.DatetimeValue>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.datetime_value = SyslogService.Timestamps.Debug.DebugDatetime.DatetimeValue() self.datetime_value.parent = self class DatetimeValue(object): """ Set time format for debug msg .. attribute:: msec Seconds **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **units**\: second **default value**\: enable .. attribute:: time_stamp_value Time **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: enable .. attribute:: time_zone Timezone **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: disable .. attribute:: year Year **type**\: :py:class:`TimeInfoEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.TimeInfoEnum>` **default value**\: disable """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.msec = None self.time_stamp_value = None self.time_zone = None self.year = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:debug/Cisco-IOS-XR-infra-syslog-cfg:debug-datetime/Cisco-IOS-XR-infra-syslog-cfg:datetime-value' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.msec is not None: return True if self.time_stamp_value is not None: return True if self.time_zone is not None: return True if self.year is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Debug.DebugDatetime.DatetimeValue']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:debug/Cisco-IOS-XR-infra-syslog-cfg:debug-datetime' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.datetime_value is not None and self.datetime_value._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Debug.DebugDatetime']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps/Cisco-IOS-XR-infra-syslog-cfg:debug' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.debug_datetime is not None and self.debug_datetime._has_data(): return True if self.debug_timestamp_disable is not None: return True if self.debug_uptime is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps.Debug']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service/Cisco-IOS-XR-infra-syslog-cfg:timestamps' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.debug is not None and self.debug._has_data(): return True if self.enable is not None: return True if self.log is not None and self.log._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService.Timestamps']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog-service' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.timestamps is not None and self.timestamps._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['SyslogService']['meta_info'] class Syslog(object): """ syslog .. attribute:: alarm_logger Alarm Logger Properties **type**\: :py:class:`AlarmLogger <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.AlarmLogger>` .. attribute:: archive Archive attributes configuration **type**\: :py:class:`Archive <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Archive>` .. attribute:: buffered_logging Set buffered logging parameters **type**\: :py:class:`BufferedLogging <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.BufferedLogging>` .. attribute:: console_logging Set console logging **type**\: :py:class:`ConsoleLogging <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.ConsoleLogging>` .. attribute:: correlator Configure properties of the event correlator **type**\: :py:class:`Correlator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator>` .. attribute:: enable_console_logging Enabled or disabled **type**\: bool .. attribute:: files Configure logging file destination **type**\: :py:class:`Files <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Files>` .. attribute:: history_logging Set history logging **type**\: :py:class:`HistoryLogging <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HistoryLogging>` .. attribute:: host_name_prefix Hostname prefix to add on msgs to servers **type**\: str .. attribute:: host_server Configure logging host **type**\: :py:class:`HostServer <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer>` .. attribute:: ipv4 Syslog TOS bit for outgoing messages **type**\: :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv4>` .. attribute:: ipv6 Syslog traffic class bit for outgoing messages **type**\: :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv6>` .. attribute:: local_log_file_size Set size of the local log file **type**\: int **range:** 0..4294967295 **default value**\: 32768 .. attribute:: logging_facilities Modify message logging facilities **type**\: :py:class:`LoggingFacilities <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.LoggingFacilities>` .. attribute:: monitor_logging Set monitor logging **type**\: :py:class:`MonitorLogging <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.MonitorLogging>` .. attribute:: source_interface_table Configure source interface **type**\: :py:class:`SourceInterfaceTable <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.SourceInterfaceTable>` .. attribute:: suppress_duplicates Suppress consecutive duplicate messages **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: suppression Configure properties of the syslog/alarm suppression **type**\: :py:class:`Suppression <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression>` .. attribute:: trap_logging Set trap logging **type**\: :py:class:`TrapLogging <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.TrapLogging>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.alarm_logger = Syslog.AlarmLogger() self.alarm_logger.parent = self self.archive = Syslog.Archive() self.archive.parent = self self.buffered_logging = Syslog.BufferedLogging() self.buffered_logging.parent = self self.console_logging = Syslog.ConsoleLogging() self.console_logging.parent = self self.correlator = Syslog.Correlator() self.correlator.parent = self self.enable_console_logging = None self.files = Syslog.Files() self.files.parent = self self.history_logging = Syslog.HistoryLogging() self.history_logging.parent = self self.host_name_prefix = None self.host_server = Syslog.HostServer() self.host_server.parent = self self.ipv4 = Syslog.Ipv4() self.ipv4.parent = self self.ipv6 = Syslog.Ipv6() self.ipv6.parent = self self.local_log_file_size = None self.logging_facilities = Syslog.LoggingFacilities() self.logging_facilities.parent = self self.monitor_logging = Syslog.MonitorLogging() self.monitor_logging.parent = self self.source_interface_table = Syslog.SourceInterfaceTable() self.source_interface_table.parent = self self.suppress_duplicates = None self.suppression = Syslog.Suppression() self.suppression.parent = self self.trap_logging = Syslog.TrapLogging() self.trap_logging.parent = self class MonitorLogging(object): """ Set monitor logging .. attribute:: logging_level Monitor Logging Level **type**\: :py:class:`LoggingLevelsEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingLevelsEnum>` **default value**\: debug .. attribute:: monitor_discriminator Set monitor logging discriminators **type**\: :py:class:`MonitorDiscriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.MonitorLogging.MonitorDiscriminator>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.logging_level = None self.monitor_discriminator = Syslog.MonitorLogging.MonitorDiscriminator() self.monitor_discriminator.parent = self class MonitorDiscriminator(object): """ Set monitor logging discriminators .. attribute:: match1 Set monitor logging match1 discriminator **type**\: str .. attribute:: match2 Set monitor logging match2 discriminator **type**\: str .. attribute:: match3 Set monitor logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set monitor logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set monitor logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set monitor logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:monitor-logging/Cisco-IOS-XR-infra-syslog-cfg:monitor-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.MonitorLogging.MonitorDiscriminator']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:monitor-logging' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.logging_level is not None: return True if self.monitor_discriminator is not None and self.monitor_discriminator._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.MonitorLogging']['meta_info'] class HistoryLogging(object): """ Set history logging .. attribute:: history_size Logging history size **type**\: int **range:** 1..500 **default value**\: 1 .. attribute:: logging_level History logging level **type**\: :py:class:`LoggingLevelsEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingLevelsEnum>` **default value**\: warning """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.history_size = None self.logging_level = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:history-logging' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.history_size is not None: return True if self.logging_level is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HistoryLogging']['meta_info'] class LoggingFacilities(object): """ Modify message logging facilities .. attribute:: facility_level Facility from which logging is done **type**\: :py:class:`FacilityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.FacilityEnum>` **default value**\: local7 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.facility_level = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:logging-facilities' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.facility_level is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.LoggingFacilities']['meta_info'] class TrapLogging(object): """ Set trap logging .. attribute:: logging_level Trap logging level **type**\: :py:class:`LoggingLevelsEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingLevelsEnum>` **default value**\: info """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.logging_level = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:trap-logging' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.logging_level is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.TrapLogging']['meta_info'] class BufferedLogging(object): """ Set buffered logging parameters .. attribute:: buffer_size Logging buffered size **type**\: int **range:** 4096..4294967295 **default value**\: 2097152 .. attribute:: buffered_discriminator Set buffered logging discriminators **type**\: :py:class:`BufferedDiscriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.BufferedLogging.BufferedDiscriminator>` .. attribute:: logging_level Logging level for Buffered logging **type**\: :py:class:`LoggingLevelsEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingLevelsEnum>` **default value**\: debug """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.buffer_size = None self.buffered_discriminator = Syslog.BufferedLogging.BufferedDiscriminator() self.buffered_discriminator.parent = self self.logging_level = None class BufferedDiscriminator(object): """ Set buffered logging discriminators .. attribute:: match1 Set buffered logging match1 discriminator **type**\: str .. attribute:: match2 Set buffered logging match2 discriminator **type**\: str .. attribute:: match3 Set buffered logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set buffered logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set buffered logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set buffered logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:buffered-logging/Cisco-IOS-XR-infra-syslog-cfg:buffered-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.BufferedLogging.BufferedDiscriminator']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:buffered-logging' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.buffer_size is not None: return True if self.buffered_discriminator is not None and self.buffered_discriminator._has_data(): return True if self.logging_level is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.BufferedLogging']['meta_info'] class HostServer(object): """ Configure logging host .. attribute:: vrfs VRF table **type**\: :py:class:`Vrfs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.vrfs = Syslog.HostServer.Vrfs() self.vrfs.parent = self class Vrfs(object): """ VRF table .. attribute:: vrf VRF specific data **type**\: list of :py:class:`Vrf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.vrf = YList() self.vrf.parent = self self.vrf.name = 'vrf' class Vrf(object): """ VRF specific data .. attribute:: vrf_name <key> Name of the VRF instance **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ .. attribute:: hosts List of the logging host **type**\: :py:class:`Hosts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts>` .. attribute:: ipv4s List of the IPv4 logging host **type**\: :py:class:`Ipv4S <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S>` .. attribute:: ipv6s List of the IPv6 logging host **type**\: :py:class:`Ipv6S <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.vrf_name = None self.hosts = Syslog.HostServer.Vrfs.Vrf.Hosts() self.hosts.parent = self self.ipv4s = Syslog.HostServer.Vrfs.Vrf.Ipv4S() self.ipv4s.parent = self self.ipv6s = Syslog.HostServer.Vrfs.Vrf.Ipv6S() self.ipv6s.parent = self class Ipv6S(object): """ List of the IPv6 logging host .. attribute:: ipv6 IPv6 address of the logging host **type**\: list of :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.ipv6 = YList() self.ipv6.parent = self self.ipv6.name = 'ipv6' class Ipv6(object): """ IPv6 address of the logging host .. attribute:: address <key> IPv6 address of the logging host **type**\: str **pattern:** ((\:\|[0\-9a\-fA\-F]{0,4})\:)([0\-9a\-fA\-F]{0,4}\:){0,5}((([0\-9a\-fA\-F]{0,4}\:)?(\:\|[0\-9a\-fA\-F]{0,4}))\|(((25[0\-5]\|2[0\-4][0\-9]\|[01]?[0\-9]?[0\-9])\\.){3}(25[0\-5]\|2[0\-4][0\-9]\|[01]?[0\-9]?[0\-9])))(%[\\p{N}\\p{L}]+)? .. attribute:: ipv6_discriminator Set IPv6 logging discriminators **type**\: :py:class:`Ipv6Discriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6Discriminator>` .. attribute:: ipv6_severity_levels Severity container of the logging host **type**\: :py:class:`Ipv6SeverityLevels <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityLevels>` **status**\: obsolete .. attribute:: ipv6_severity_port Severity/Port for the logging host **type**\: :py:class:`Ipv6SeverityPort <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityPort>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.address = None self.ipv6_discriminator = Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6Discriminator() self.ipv6_discriminator.parent = self self.ipv6_severity_levels = Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityLevels() self.ipv6_severity_levels.parent = self self.ipv6_severity_port = Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityPort() self.ipv6_severity_port.parent = self class Ipv6SeverityPort(object): """ Severity/Port for the logging host .. attribute:: port Port for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 514 .. attribute:: severity Severity for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 6 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.port = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6-severity-port' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.port is not None: return True if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityPort']['meta_info'] class Ipv6Discriminator(object): """ Set IPv6 logging discriminators .. attribute:: match1 Set IPv6 logging match1 discriminator **type**\: str .. attribute:: match2 Set IPv6 logging match2 discriminator **type**\: str .. attribute:: match3 Set IPv6 logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set IPv6 logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set IPv6 logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set IPv6 logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6Discriminator']['meta_info'] class Ipv6SeverityLevels(object): """ Severity container of the logging host .. attribute:: ipv6_severity_level Severity for the logging host **type**\: list of :py:class:`Ipv6SeverityLevel <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityLevels.Ipv6SeverityLevel>` **status**\: obsolete """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.ipv6_severity_level = YList() self.ipv6_severity_level.parent = self self.ipv6_severity_level.name = 'ipv6_severity_level' class Ipv6SeverityLevel(object): """ Severity for the logging host .. attribute:: severity <key> Severity for the logging host **type**\: :py:class:`LogSeverityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LogSeverityEnum>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.severity is None: raise YPYModelError('Key property severity is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6-severity-level[Cisco-IOS-XR-infra-syslog-cfg:severity = ' + str(self.severity) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityLevels.Ipv6SeverityLevel']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6-severity-levels' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.ipv6_severity_level is not None: for child_ref in self.ipv6_severity_level: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6.Ipv6SeverityLevels']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.address is None: raise YPYModelError('Key property address is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6[Cisco-IOS-XR-infra-syslog-cfg:address = ' + str(self.address) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.address is not None: return True if self.ipv6_discriminator is not None and self.ipv6_discriminator._has_data(): return True if self.ipv6_severity_levels is not None and self.ipv6_severity_levels._has_data(): return True if self.ipv6_severity_port is not None and self.ipv6_severity_port._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S.Ipv6']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv6s' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.ipv6 is not None: for child_ref in self.ipv6: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv6S']['meta_info'] class Hosts(object): """ List of the logging host .. attribute:: host Name of the logging host **type**\: list of :py:class:`Host <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts.Host>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.host = YList() self.host.parent = self self.host.name = 'host' class Host(object): """ Name of the logging host .. attribute:: host_name <key> Name of the logging host **type**\: str .. attribute:: host_name_discriminator Set Hostname logging discriminators **type**\: :py:class:`HostNameDiscriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameDiscriminator>` .. attribute:: host_name_severities Severity container of the logging host **type**\: :py:class:`HostNameSeverities <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameSeverities>` **status**\: obsolete .. attribute:: host_severity_port Severity/Port for the logging host **type**\: :py:class:`HostSeverityPort <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostSeverityPort>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.host_name = None self.host_name_discriminator = Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameDiscriminator() self.host_name_discriminator.parent = self self.host_name_severities = Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameSeverities() self.host_name_severities.parent = self self.host_severity_port = Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostSeverityPort() self.host_severity_port.parent = self class HostNameSeverities(object): """ Severity container of the logging host .. attribute:: host_name_severity Severity for the logging host **type**\: list of :py:class:`HostNameSeverity <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameSeverities.HostNameSeverity>` **status**\: obsolete """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.host_name_severity = YList() self.host_name_severity.parent = self self.host_name_severity.name = 'host_name_severity' class HostNameSeverity(object): """ Severity for the logging host .. attribute:: severity <key> Severity for the logging host **type**\: :py:class:`LogSeverityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LogSeverityEnum>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.severity is None: raise YPYModelError('Key property severity is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:host-name-severity[Cisco-IOS-XR-infra-syslog-cfg:severity = ' + str(self.severity) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameSeverities.HostNameSeverity']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:host-name-severities' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.host_name_severity is not None: for child_ref in self.host_name_severity: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameSeverities']['meta_info'] class HostNameDiscriminator(object): """ Set Hostname logging discriminators .. attribute:: match1 Set hostname logging match1 discriminator **type**\: str .. attribute:: match2 Set hostname logging match2 discriminator **type**\: str .. attribute:: match3 Set hostname logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set hostname logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set hostname logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set hostname logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:host-name-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostNameDiscriminator']['meta_info'] class HostSeverityPort(object): """ Severity/Port for the logging host .. attribute:: port Port for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 514 .. attribute:: severity Severity for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 6 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.port = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:host-severity-port' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.port is not None: return True if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts.Host.HostSeverityPort']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.host_name is None: raise YPYModelError('Key property host_name is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:host[Cisco-IOS-XR-infra-syslog-cfg:host-name = ' + str(self.host_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.host_name is not None: return True if self.host_name_discriminator is not None and self.host_name_discriminator._has_data(): return True if self.host_name_severities is not None and self.host_name_severities._has_data(): return True if self.host_severity_port is not None and self.host_severity_port._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts.Host']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:hosts' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.host is not None: for child_ref in self.host: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Hosts']['meta_info'] class Ipv4S(object): """ List of the IPv4 logging host .. attribute:: ipv4 IPv4 address of the logging host **type**\: list of :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.ipv4 = YList() self.ipv4.parent = self self.ipv4.name = 'ipv4' class Ipv4(object): """ IPv4 address of the logging host .. attribute:: address <key> IPv4 address of the logging host **type**\: str **pattern:** (([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])\\.){3}([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])(%[\\p{N}\\p{L}]+)? .. attribute:: ipv4_discriminator Set IPv4 logging discriminators **type**\: :py:class:`Ipv4Discriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4Discriminator>` .. attribute:: ipv4_severity_levels Severity container of the logging host **type**\: :py:class:`Ipv4SeverityLevels <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityLevels>` **status**\: obsolete .. attribute:: ipv4_severity_port Severity/Port for the logging host **type**\: :py:class:`Ipv4SeverityPort <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityPort>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.address = None self.ipv4_discriminator = Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4Discriminator() self.ipv4_discriminator.parent = self self.ipv4_severity_levels = Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityLevels() self.ipv4_severity_levels.parent = self self.ipv4_severity_port = Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityPort() self.ipv4_severity_port.parent = self class Ipv4SeverityLevels(object): """ Severity container of the logging host .. attribute:: ipv4_severity_level Severity for the logging host **type**\: list of :py:class:`Ipv4SeverityLevel <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityLevels.Ipv4SeverityLevel>` **status**\: obsolete """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.ipv4_severity_level = YList() self.ipv4_severity_level.parent = self self.ipv4_severity_level.name = 'ipv4_severity_level' class Ipv4SeverityLevel(object): """ Severity for the logging host .. attribute:: severity <key> Severity for the logging host **type**\: :py:class:`LogSeverityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LogSeverityEnum>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.severity is None: raise YPYModelError('Key property severity is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4-severity-level[Cisco-IOS-XR-infra-syslog-cfg:severity = ' + str(self.severity) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityLevels.Ipv4SeverityLevel']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4-severity-levels' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.ipv4_severity_level is not None: for child_ref in self.ipv4_severity_level: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityLevels']['meta_info'] class Ipv4SeverityPort(object): """ Severity/Port for the logging host .. attribute:: port Port for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 514 .. attribute:: severity Severity for the logging host **type**\: int **range:** \-2147483648..2147483647 **default value**\: 6 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.port = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4-severity-port' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.port is not None: return True if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4SeverityPort']['meta_info'] class Ipv4Discriminator(object): """ Set IPv4 logging discriminators .. attribute:: match1 Set IPv4 logging match1 discriminator **type**\: str .. attribute:: match2 Set IPv4 logging match2 discriminator **type**\: str .. attribute:: match3 Set IPv4 logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set IPv4 logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set IPv4 logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set IPv4 logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4.Ipv4Discriminator']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.address is None: raise YPYModelError('Key property address is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4[Cisco-IOS-XR-infra-syslog-cfg:address = ' + str(self.address) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.address is not None: return True if self.ipv4_discriminator is not None and self.ipv4_discriminator._has_data(): return True if self.ipv4_severity_levels is not None and self.ipv4_severity_levels._has_data(): return True if self.ipv4_severity_port is not None and self.ipv4_severity_port._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S.Ipv4']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:ipv4s' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.ipv4 is not None: for child_ref in self.ipv4: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf.Ipv4S']['meta_info'] @property def _common_path(self): if self.vrf_name is None: raise YPYModelError('Key property vrf_name is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:host-server/Cisco-IOS-XR-infra-syslog-cfg:vrfs/Cisco-IOS-XR-infra-syslog-cfg:vrf[Cisco-IOS-XR-infra-syslog-cfg:vrf-name = ' + str(self.vrf_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_name is not None: return True if self.hosts is not None and self.hosts._has_data(): return True if self.ipv4s is not None and self.ipv4s._has_data(): return True if self.ipv6s is not None and self.ipv6s._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs.Vrf']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:host-server/Cisco-IOS-XR-infra-syslog-cfg:vrfs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf is not None: for child_ref in self.vrf: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer.Vrfs']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:host-server' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrfs is not None and self.vrfs._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.HostServer']['meta_info'] class ConsoleLogging(object): """ Set console logging .. attribute:: console_discriminator Set console logging discriminators **type**\: :py:class:`ConsoleDiscriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.ConsoleLogging.ConsoleDiscriminator>` .. attribute:: logging_level Console logging level **type**\: :py:class:`LoggingLevelsEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingLevelsEnum>` **default value**\: warning """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.console_discriminator = Syslog.ConsoleLogging.ConsoleDiscriminator() self.console_discriminator.parent = self self.logging_level = None class ConsoleDiscriminator(object): """ Set console logging discriminators .. attribute:: match1 Set console logging match1 discriminator **type**\: str .. attribute:: match2 Set console logging match2 discriminator **type**\: str .. attribute:: match3 Set console logging match3 discriminator **type**\: str .. attribute:: nomatch1 Set console logging no\-match1 discriminator **type**\: str .. attribute:: nomatch2 Set console logging no\-match2 discriminator **type**\: str .. attribute:: nomatch3 Set console logging no\-match3 discriminator **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:console-logging/Cisco-IOS-XR-infra-syslog-cfg:console-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.ConsoleLogging.ConsoleDiscriminator']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:console-logging' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.console_discriminator is not None and self.console_discriminator._has_data(): return True if self.logging_level is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.ConsoleLogging']['meta_info'] class Files(object): """ Configure logging file destination .. attribute:: file Specify File Name **type**\: list of :py:class:`File <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Files.File>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.file = YList() self.file.parent = self self.file.name = 'file' class File(object): """ Specify File Name .. attribute:: file_name <key> Name of the file **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ .. attribute:: file_log_attributes Attributes of the logging file destination **type**\: :py:class:`FileLogAttributes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Files.File.FileLogAttributes>` .. attribute:: file_log_discriminator Set File logging discriminators **type**\: :py:class:`FileLogDiscriminator <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Files.File.FileLogDiscriminator>` .. attribute:: file_specification Specifications of the logging file destination **type**\: :py:class:`FileSpecification <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Files.File.FileSpecification>` **status**\: obsolete """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.file_name = None self.file_log_attributes = Syslog.Files.File.FileLogAttributes() self.file_log_attributes.parent = self self.file_log_discriminator = Syslog.Files.File.FileLogDiscriminator() self.file_log_discriminator.parent = self self.file_specification = Syslog.Files.File.FileSpecification() self.file_specification.parent = self class FileSpecification(object): """ Specifications of the logging file destination .. attribute:: max_file_size Maximum file size (in KB) **type**\: int **range:** \-2147483648..2147483647 **default value**\: 1024 .. attribute:: path File path **type**\: str .. attribute:: severity Severity of messages **type**\: int **range:** \-2147483648..2147483647 **default value**\: 6 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.max_file_size = None self.path = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:file-specification' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.max_file_size is not None: return True if self.path is not None: return True if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Files.File.FileSpecification']['meta_info'] class FileLogAttributes(object): """ Attributes of the logging file destination .. attribute:: max_file_size Maximum file size (in KB) **type**\: int **range:** \-2147483648..2147483647 **default value**\: 1024 .. attribute:: severity Severity of messages **type**\: int **range:** \-2147483648..2147483647 **default value**\: 6 """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.max_file_size = None self.severity = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:file-log-attributes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.max_file_size is not None: return True if self.severity is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Files.File.FileLogAttributes']['meta_info'] class FileLogDiscriminator(object): """ Set File logging discriminators .. attribute:: match1 Set file logging match discriminator 1 **type**\: str .. attribute:: match2 Set file logging match discriminator 2 **type**\: str .. attribute:: match3 Set file logging match discriminator 3 **type**\: str .. attribute:: nomatch1 Set file logging no match discriminator 1 **type**\: str .. attribute:: nomatch2 Set file logging no match discriminator 2 **type**\: str .. attribute:: nomatch3 Set file logging no match discriminator 3 **type**\: str """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.match1 = None self.match2 = None self.match3 = None self.nomatch1 = None self.nomatch2 = None self.nomatch3 = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:file-log-discriminator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.match1 is not None: return True if self.match2 is not None: return True if self.match3 is not None: return True if self.nomatch1 is not None: return True if self.nomatch2 is not None: return True if self.nomatch3 is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Files.File.FileLogDiscriminator']['meta_info'] @property def _common_path(self): if self.file_name is None: raise YPYModelError('Key property file_name is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:files/Cisco-IOS-XR-infra-syslog-cfg:file[Cisco-IOS-XR-infra-syslog-cfg:file-name = ' + str(self.file_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.file_name is not None: return True if self.file_log_attributes is not None and self.file_log_attributes._has_data(): return True if self.file_log_discriminator is not None and self.file_log_discriminator._has_data(): return True if self.file_specification is not None and self.file_specification._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Files.File']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:files' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.file is not None: for child_ref in self.file: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Files']['meta_info'] class Ipv4(object): """ Syslog TOS bit for outgoing messages .. attribute:: dscp DSCP value **type**\: :py:class:`Dscp <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv4.Dscp>` **presence node**\: True **status**\: obsolete .. attribute:: precedence Precedence value **type**\: :py:class:`Precedence <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv4.Precedence>` **presence node**\: True **status**\: obsolete .. attribute:: tos Type of service **type**\: :py:class:`Tos <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv4.Tos>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.dscp = None self.precedence = None self.tos = Syslog.Ipv4.Tos() self.tos.parent = self class Dscp(object): """ DSCP value .. attribute:: type Logging TOS type DSCP **type**\: :py:class:`LoggingDscpEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpEnum>` **mandatory**\: True .. attribute:: unused Unused **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` ---- **type**\: int **range:** 0..7 ---- .. attribute:: value Logging DSCP value **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` **mandatory**\: True ---- **type**\: int **range:** 0..63 **mandatory**\: True ---- .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self._is_presence = True self.type = None self.unused = None self.value = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv4/Cisco-IOS-XR-infra-syslog-cfg:dscp' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.type is not None: return True if self.unused is not None: return True if self.value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv4.Dscp']['meta_info'] class Tos(object): """ Type of service .. attribute:: dscp Logging DSCP value **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` ---- **type**\: int **range:** 0..63 ---- .. attribute:: precedence Logging precedence value **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` ---- **type**\: int **range:** 0..7 ---- .. attribute:: type Logging TOS type DSCP or precedence **type**\: :py:class:`LoggingTosEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingTosEnum>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.dscp = None self.precedence = None self.type = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv4/Cisco-IOS-XR-infra-syslog-cfg:tos' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.dscp is not None: return True if self.precedence is not None: return True if self.type is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv4.Tos']['meta_info'] class Precedence(object): """ Precedence value .. attribute:: type Logging TOS type precedence **type**\: :py:class:`LoggingPrecedenceEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceEnum>` **mandatory**\: True .. attribute:: unused Unused **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` ---- **type**\: int **range:** 0..63 ---- .. attribute:: value Logging precedence value **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` **mandatory**\: True ---- **type**\: int **range:** 0..7 **mandatory**\: True ---- .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self._is_presence = True self.type = None self.unused = None self.value = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv4/Cisco-IOS-XR-infra-syslog-cfg:precedence' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.type is not None: return True if self.unused is not None: return True if self.value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv4.Precedence']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv4' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.dscp is not None and self.dscp._has_data(): return True if self.precedence is not None and self.precedence._has_data(): return True if self.tos is not None and self.tos._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv4']['meta_info'] class Archive(object): """ Archive attributes configuration .. attribute:: device '/disk0\:' or '/disk1\:' or '/harddisk\:' **type**\: str .. attribute:: file_size The maximum file size for a single log file **type**\: int **range:** 1..2047 .. attribute:: frequency The collection interval for logs **type**\: :py:class:`LogCollectFrequencyEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LogCollectFrequencyEnum>` .. attribute:: length The maximum number of weeks of log to maintain **type**\: int **range:** 1..256 .. attribute:: severity The minimum severity of log messages to archive **type**\: :py:class:`LogMessageSeverityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LogMessageSeverityEnum>` .. attribute:: size The total size of the archive **type**\: int **range:** 1..2047 .. attribute:: threshold The size threshold at which a syslog is generated **type**\: int **range:** 1..99 **units**\: percentage """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.device = None self.file_size = None self.frequency = None self.length = None self.severity = None self.size = None self.threshold = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:archive' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.device is not None: return True if self.file_size is not None: return True if self.frequency is not None: return True if self.length is not None: return True if self.severity is not None: return True if self.size is not None: return True if self.threshold is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Archive']['meta_info'] class Ipv6(object): """ Syslog traffic class bit for outgoing messages .. attribute:: dscp DSCP value **type**\: :py:class:`Dscp <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv6.Dscp>` **presence node**\: True **status**\: obsolete .. attribute:: precedence Precedence value **type**\: :py:class:`Precedence <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv6.Precedence>` **presence node**\: True **status**\: obsolete .. attribute:: traffic_class Type of traffic class **type**\: :py:class:`TrafficClass <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Ipv6.TrafficClass>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.dscp = None self.precedence = None self.traffic_class = Syslog.Ipv6.TrafficClass() self.traffic_class.parent = self class Dscp(object): """ DSCP value .. attribute:: type Logging TOS type DSCP **type**\: :py:class:`LoggingDscpEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpEnum>` **mandatory**\: True .. attribute:: unused Unused **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` ---- **type**\: int **range:** 0..7 ---- .. attribute:: value Logging DSCP value **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` **mandatory**\: True ---- **type**\: int **range:** 0..63 **mandatory**\: True ---- .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self._is_presence = True self.type = None self.unused = None self.value = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv6/Cisco-IOS-XR-infra-syslog-cfg:dscp' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.type is not None: return True if self.unused is not None: return True if self.value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv6.Dscp']['meta_info'] class TrafficClass(object): """ Type of traffic class .. attribute:: dscp Logging DSCP value **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` ---- **type**\: int **range:** 0..63 ---- .. attribute:: precedence Logging precedence value **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` ---- **type**\: int **range:** 0..7 ---- .. attribute:: type Logging TOS type DSCP or precedence **type**\: :py:class:`LoggingTosEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingTosEnum>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.dscp = None self.precedence = None self.type = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv6/Cisco-IOS-XR-infra-syslog-cfg:traffic-class' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.dscp is not None: return True if self.precedence is not None: return True if self.type is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv6.TrafficClass']['meta_info'] class Precedence(object): """ Precedence value .. attribute:: type Logging TOS type precedence **type**\: :py:class:`LoggingPrecedenceEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceEnum>` **mandatory**\: True .. attribute:: unused Unused **type**\: one of the below types: **type**\: :py:class:`LoggingDscpValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingDscpValueEnum>` ---- **type**\: int **range:** 0..63 ---- .. attribute:: value Logging precedence value **type**\: one of the below types: **type**\: :py:class:`LoggingPrecedenceValueEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.LoggingPrecedenceValueEnum>` **mandatory**\: True ---- **type**\: int **range:** 0..7 **mandatory**\: True ---- .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self._is_presence = True self.type = None self.unused = None self.value = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv6/Cisco-IOS-XR-infra-syslog-cfg:precedence' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.type is not None: return True if self.unused is not None: return True if self.value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv6.Precedence']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:ipv6' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.dscp is not None and self.dscp._has_data(): return True if self.precedence is not None and self.precedence._has_data(): return True if self.traffic_class is not None and self.traffic_class._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Ipv6']['meta_info'] class SourceInterfaceTable(object): """ Configure source interface .. attribute:: source_interface_values Specify interface for source address in logging transactions **type**\: :py:class:`SourceInterfaceValues <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.SourceInterfaceTable.SourceInterfaceValues>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.source_interface_values = Syslog.SourceInterfaceTable.SourceInterfaceValues() self.source_interface_values.parent = self class SourceInterfaceValues(object): """ Specify interface for source address in logging transactions .. attribute:: source_interface_value Source interface **type**\: list of :py:class:`SourceInterfaceValue <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.source_interface_value = YList() self.source_interface_value.parent = self self.source_interface_value.name = 'source_interface_value' class SourceInterfaceValue(object): """ Source interface .. attribute:: src_interface_name_value <key> Which Interface **type**\: str **pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm) .. attribute:: source_interface_vrfs Configure source interface VRF **type**\: :py:class:`SourceInterfaceVrfs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue.SourceInterfaceVrfs>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.src_interface_name_value = None self.source_interface_vrfs = Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue.SourceInterfaceVrfs() self.source_interface_vrfs.parent = self class SourceInterfaceVrfs(object): """ Configure source interface VRF .. attribute:: source_interface_vrf Specify VRF for source interface **type**\: list of :py:class:`SourceInterfaceVrf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue.SourceInterfaceVrfs.SourceInterfaceVrf>` """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.source_interface_vrf = YList() self.source_interface_vrf.parent = self self.source_interface_vrf.name = 'source_interface_vrf' class SourceInterfaceVrf(object): """ Specify VRF for source interface .. attribute:: vrf_name <key> Name of the VRF instance **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ """ _prefix = 'infra-syslog-cfg' _revision = '2016-06-22' def __init__(self): self.parent = None self.vrf_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.vrf_name is None: raise YPYModelError('Key property vrf_name is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:source-interface-vrf[Cisco-IOS-XR-infra-syslog-cfg:vrf-name = ' + str(self.vrf_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue.SourceInterfaceVrfs.SourceInterfaceVrf']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-syslog-cfg:source-interface-vrfs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.source_interface_vrf is not None: for child_ref in self.source_interface_vrf: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue.SourceInterfaceVrfs']['meta_info'] @property def _common_path(self): if self.src_interface_name_value is None: raise YPYModelError('Key property src_interface_name_value is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:source-interface-table/Cisco-IOS-XR-infra-syslog-cfg:source-interface-values/Cisco-IOS-XR-infra-syslog-cfg:source-interface-value[Cisco-IOS-XR-infra-syslog-cfg:src-interface-name-value = ' + str(self.src_interface_name_value) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.src_interface_name_value is not None: return True if self.source_interface_vrfs is not None and self.source_interface_vrfs._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.SourceInterfaceTable.SourceInterfaceValues.SourceInterfaceValue']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:source-interface-table/Cisco-IOS-XR-infra-syslog-cfg:source-interface-values' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.source_interface_value is not None: for child_ref in self.source_interface_value: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.SourceInterfaceTable.SourceInterfaceValues']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-syslog-cfg:source-interface-table' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.source_interface_values is not None and self.source_interface_values._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.SourceInterfaceTable']['meta_info'] class AlarmLogger(object): """ Alarm Logger Properties .. attribute:: buffer_size Set size of the local event buffer **type**\: int **range:** 1024..1024000 .. attribute:: severity_level Log all events with equal or higher (lower level) severity than this **type**\: :py:class:`AlarmLoggerSeverityLevelEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_alarm_logger_datatypes.AlarmLoggerSeverityLevelEnum>` .. attribute:: source_location Enable alarm source location in message text **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: threshold Configure threshold (%) for capacity alarm **type**\: int **range:** 10..100 **default value**\: 90 """ _prefix = 'infra-alarm-logger-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.buffer_size = None self.severity_level = None self.source_location = None self.threshold = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-alarm-logger-cfg:alarm-logger' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.buffer_size is not None: return True if self.severity_level is not None: return True if self.source_location is not None: return True if self.threshold is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.AlarmLogger']['meta_info'] class Correlator(object): """ Configure properties of the event correlator .. attribute:: buffer_size Configure size of the correlator buffer **type**\: int **range:** 1024..52428800 .. attribute:: rule_sets Table of configured rulesets **type**\: :py:class:`RuleSets <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets>` .. attribute:: rules Table of configured rules **type**\: :py:class:`Rules <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.buffer_size = None self.rule_sets = Syslog.Correlator.RuleSets() self.rule_sets.parent = self self.rules = Syslog.Correlator.Rules() self.rules.parent = self class Rules(object): """ Table of configured rules .. attribute:: rule Rule name **type**\: list of :py:class:`Rule <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rule = YList() self.rule.parent = self self.rule.name = 'rule' class Rule(object): """ Rule name .. attribute:: name <key> Rule name **type**\: str **length:** 0..32 .. attribute:: applied_to Applied to the Rule or Ruleset **type**\: :py:class:`AppliedTo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.AppliedTo>` .. attribute:: apply_to Apply the Rules **type**\: :py:class:`ApplyTo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.ApplyTo>` .. attribute:: definition Configure a specified correlation rule **type**\: :py:class:`Definition <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.Definition>` .. attribute:: non_stateful The Non\-Stateful Rule Type **type**\: :py:class:`NonStateful <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.NonStateful>` .. attribute:: stateful The Stateful Rule Type **type**\: :py:class:`Stateful <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.Stateful>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.name = None self.applied_to = Syslog.Correlator.Rules.Rule.AppliedTo() self.applied_to.parent = self self.apply_to = Syslog.Correlator.Rules.Rule.ApplyTo() self.apply_to.parent = self self.definition = Syslog.Correlator.Rules.Rule.Definition() self.definition.parent = self self.non_stateful = Syslog.Correlator.Rules.Rule.NonStateful() self.non_stateful.parent = self self.stateful = Syslog.Correlator.Rules.Rule.Stateful() self.stateful.parent = self class Definition(object): """ Configure a specified correlation rule .. attribute:: category_name_entry1 Root message category name **type**\: str .. attribute:: category_name_entry10 Correlated message category name **type**\: str .. attribute:: category_name_entry2 Correlated message category name **type**\: str .. attribute:: category_name_entry3 Correlated message category name **type**\: str .. attribute:: category_name_entry4 Correlated message category name **type**\: str .. attribute:: category_name_entry5 Correlated message category name **type**\: str .. attribute:: category_name_entry6 Correlated message category name **type**\: str .. attribute:: category_name_entry7 Correlated message category name **type**\: str .. attribute:: category_name_entry8 Correlated message category name **type**\: str .. attribute:: category_name_entry9 Correlated message category name **type**\: str .. attribute:: group_name_entry1 Root message group name **type**\: str .. attribute:: group_name_entry10 Correlated message group name **type**\: str .. attribute:: group_name_entry2 Correlated message group name **type**\: str .. attribute:: group_name_entry3 Correlated message group name **type**\: str .. attribute:: group_name_entry4 Correlated message group name **type**\: str .. attribute:: group_name_entry5 Correlated message group name **type**\: str .. attribute:: group_name_entry6 Correlated message group name **type**\: str .. attribute:: group_name_entry7 Correlated message group name **type**\: str .. attribute:: group_name_entry8 Correlated message group name **type**\: str .. attribute:: group_name_entry9 Correlated message group name **type**\: str .. attribute:: message_code_entry1 Root message code **type**\: str .. attribute:: message_code_entry10 Correlated message code **type**\: str .. attribute:: message_code_entry2 Correlated message code **type**\: str .. attribute:: message_code_entry3 Correlated message code **type**\: str .. attribute:: message_code_entry4 Correlated message code **type**\: str .. attribute:: message_code_entry5 Correlated message code **type**\: str .. attribute:: message_code_entry6 Correlated message code **type**\: str .. attribute:: message_code_entry7 Correlated message code **type**\: str .. attribute:: message_code_entry8 Correlated message code **type**\: str .. attribute:: message_code_entry9 Correlated message code **type**\: str .. attribute:: timeout Timeout (time the rule is to be active) in milliseconds **type**\: int **range:** 1..7200000 """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category_name_entry1 = None self.category_name_entry10 = None self.category_name_entry2 = None self.category_name_entry3 = None self.category_name_entry4 = None self.category_name_entry5 = None self.category_name_entry6 = None self.category_name_entry7 = None self.category_name_entry8 = None self.category_name_entry9 = None self.group_name_entry1 = None self.group_name_entry10 = None self.group_name_entry2 = None self.group_name_entry3 = None self.group_name_entry4 = None self.group_name_entry5 = None self.group_name_entry6 = None self.group_name_entry7 = None self.group_name_entry8 = None self.group_name_entry9 = None self.message_code_entry1 = None self.message_code_entry10 = None self.message_code_entry2 = None self.message_code_entry3 = None self.message_code_entry4 = None self.message_code_entry5 = None self.message_code_entry6 = None self.message_code_entry7 = None self.message_code_entry8 = None self.message_code_entry9 = None self.timeout = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:definition' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category_name_entry1 is not None: return True if self.category_name_entry10 is not None: return True if self.category_name_entry2 is not None: return True if self.category_name_entry3 is not None: return True if self.category_name_entry4 is not None: return True if self.category_name_entry5 is not None: return True if self.category_name_entry6 is not None: return True if self.category_name_entry7 is not None: return True if self.category_name_entry8 is not None: return True if self.category_name_entry9 is not None: return True if self.group_name_entry1 is not None: return True if self.group_name_entry10 is not None: return True if self.group_name_entry2 is not None: return True if self.group_name_entry3 is not None: return True if self.group_name_entry4 is not None: return True if self.group_name_entry5 is not None: return True if self.group_name_entry6 is not None: return True if self.group_name_entry7 is not None: return True if self.group_name_entry8 is not None: return True if self.group_name_entry9 is not None: return True if self.message_code_entry1 is not None: return True if self.message_code_entry10 is not None: return True if self.message_code_entry2 is not None: return True if self.message_code_entry3 is not None: return True if self.message_code_entry4 is not None: return True if self.message_code_entry5 is not None: return True if self.message_code_entry6 is not None: return True if self.message_code_entry7 is not None: return True if self.message_code_entry8 is not None: return True if self.message_code_entry9 is not None: return True if self.timeout is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.Definition']['meta_info'] class NonStateful(object): """ The Non\-Stateful Rule Type .. attribute:: context_correlation Enable correlation on alarm context **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: non_root_causes Table of configured non\-rootcause **type**\: :py:class:`NonRootCauses <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.NonStateful.NonRootCauses>` .. attribute:: root_cause The root cause **type**\: :py:class:`RootCause <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.NonStateful.RootCause>` .. attribute:: timeout Timeout (time to wait for active correlation) in milliseconds **type**\: int **range:** 1..7200000 **units**\: millisecond .. attribute:: timeout_root_cause Rootcause Timeout (time to wait for rootcause) in milliseconds **type**\: int **range:** 1..7200000 **units**\: millisecond """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context_correlation = None self.non_root_causes = Syslog.Correlator.Rules.Rule.NonStateful.NonRootCauses() self.non_root_causes.parent = self self.root_cause = Syslog.Correlator.Rules.Rule.NonStateful.RootCause() self.root_cause.parent = self self.timeout = None self.timeout_root_cause = None class NonRootCauses(object): """ Table of configured non\-rootcause .. attribute:: non_root_cause A non\-rootcause **type**\: list of :py:class:`NonRootCause <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.NonStateful.NonRootCauses.NonRootCause>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.non_root_cause = YList() self.non_root_cause.parent = self self.non_root_cause.name = 'non_root_cause' class NonRootCause(object): """ A non\-rootcause .. attribute:: category <key> Correlated message category **type**\: str .. attribute:: group <key> Correlated message group **type**\: str .. attribute:: message_code <key> Correlated message code **type**\: str """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category = None self.group = None self.message_code = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.category is None: raise YPYModelError('Key property category is None') if self.group is None: raise YPYModelError('Key property group is None') if self.message_code is None: raise YPYModelError('Key property message_code is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:non-root-cause[Cisco-IOS-XR-infra-correlator-cfg:category = ' + str(self.category) + '][Cisco-IOS-XR-infra-correlator-cfg:group = ' + str(self.group) + '][Cisco-IOS-XR-infra-correlator-cfg:message-code = ' + str(self.message_code) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category is not None: return True if self.group is not None: return True if self.message_code is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.NonStateful.NonRootCauses.NonRootCause']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:non-root-causes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.non_root_cause is not None: for child_ref in self.non_root_cause: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.NonStateful.NonRootCauses']['meta_info'] class RootCause(object): """ The root cause .. attribute:: category Root message category **type**\: str .. attribute:: group Root message group **type**\: str .. attribute:: message_code Root message code **type**\: str """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category = None self.group = None self.message_code = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:root-cause' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category is not None: return True if self.group is not None: return True if self.message_code is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.NonStateful.RootCause']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:non-stateful' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context_correlation is not None: return True if self.non_root_causes is not None and self.non_root_causes._has_data(): return True if self.root_cause is not None and self.root_cause._has_data(): return True if self.timeout is not None: return True if self.timeout_root_cause is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.NonStateful']['meta_info'] class Stateful(object): """ The Stateful Rule Type .. attribute:: context_correlation Enable correlation on alarm context **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: non_root_causes Table of configured non\-rootcause **type**\: :py:class:`NonRootCauses <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.Stateful.NonRootCauses>` .. attribute:: reissue Enable reissue of non\-bistate alarms on rootcause alarm clear **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: reparent Enable reparent of alarm on rootcause alarm clear **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: root_cause The root cause **type**\: :py:class:`RootCause <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.Stateful.RootCause>` .. attribute:: timeout Timeout (time to wait for active correlation) in milliseconds **type**\: int **range:** 1..7200000 **units**\: millisecond .. attribute:: timeout_root_cause Rootcause Timeout (time to wait for rootcause) in milliseconds **type**\: int **range:** 1..7200000 **units**\: millisecond """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context_correlation = None self.non_root_causes = Syslog.Correlator.Rules.Rule.Stateful.NonRootCauses() self.non_root_causes.parent = self self.reissue = None self.reparent = None self.root_cause = Syslog.Correlator.Rules.Rule.Stateful.RootCause() self.root_cause.parent = self self.timeout = None self.timeout_root_cause = None class NonRootCauses(object): """ Table of configured non\-rootcause .. attribute:: non_root_cause A non\-rootcause **type**\: list of :py:class:`NonRootCause <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.Stateful.NonRootCauses.NonRootCause>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.non_root_cause = YList() self.non_root_cause.parent = self self.non_root_cause.name = 'non_root_cause' class NonRootCause(object): """ A non\-rootcause .. attribute:: category <key> Correlated message category **type**\: str .. attribute:: group <key> Correlated message group **type**\: str .. attribute:: message_code <key> Correlated message code **type**\: str """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category = None self.group = None self.message_code = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.category is None: raise YPYModelError('Key property category is None') if self.group is None: raise YPYModelError('Key property group is None') if self.message_code is None: raise YPYModelError('Key property message_code is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:non-root-cause[Cisco-IOS-XR-infra-correlator-cfg:category = ' + str(self.category) + '][Cisco-IOS-XR-infra-correlator-cfg:group = ' + str(self.group) + '][Cisco-IOS-XR-infra-correlator-cfg:message-code = ' + str(self.message_code) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category is not None: return True if self.group is not None: return True if self.message_code is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.Stateful.NonRootCauses.NonRootCause']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:non-root-causes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.non_root_cause is not None: for child_ref in self.non_root_cause: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.Stateful.NonRootCauses']['meta_info'] class RootCause(object): """ The root cause .. attribute:: category Root message category **type**\: str .. attribute:: group Root message group **type**\: str .. attribute:: message_code Root message code **type**\: str """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category = None self.group = None self.message_code = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:root-cause' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category is not None: return True if self.group is not None: return True if self.message_code is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.Stateful.RootCause']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:stateful' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context_correlation is not None: return True if self.non_root_causes is not None and self.non_root_causes._has_data(): return True if self.reissue is not None: return True if self.reparent is not None: return True if self.root_cause is not None and self.root_cause._has_data(): return True if self.timeout is not None: return True if self.timeout_root_cause is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.Stateful']['meta_info'] class ApplyTo(object): """ Apply the Rules .. attribute:: all_of_router Apply the rule to all of the router **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: contexts Apply rule to a specified list of contexts, e.g. interfaces **type**\: :py:class:`Contexts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.ApplyTo.Contexts>` .. attribute:: locations Apply rule to a specified list of Locations **type**\: :py:class:`Locations <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.ApplyTo.Locations>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.all_of_router = None self.contexts = Syslog.Correlator.Rules.Rule.ApplyTo.Contexts() self.contexts.parent = self self.locations = Syslog.Correlator.Rules.Rule.ApplyTo.Locations() self.locations.parent = self class Contexts(object): """ Apply rule to a specified list of contexts, e.g. interfaces .. attribute:: context One or more context names **type**\: list of str """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context = YLeafList() self.context.parent = self self.context.name = 'context' @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:contexts' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context is not None: for child in self.context: if child is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.ApplyTo.Contexts']['meta_info'] class Locations(object): """ Apply rule to a specified list of Locations .. attribute:: location One or more Locations **type**\: list of str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.location = YLeafList() self.location.parent = self self.location.name = 'location' @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:locations' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.location is not None: for child in self.location: if child is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.ApplyTo.Locations']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:apply-to' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.all_of_router is not None: return True if self.contexts is not None and self.contexts._has_data(): return True if self.locations is not None and self.locations._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.ApplyTo']['meta_info'] class AppliedTo(object): """ Applied to the Rule or Ruleset .. attribute:: all Apply to all of the router **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: contexts Table of configured contexts to apply **type**\: :py:class:`Contexts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.AppliedTo.Contexts>` .. attribute:: locations Table of configured locations to apply **type**\: :py:class:`Locations <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.AppliedTo.Locations>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.all = None self.contexts = Syslog.Correlator.Rules.Rule.AppliedTo.Contexts() self.contexts.parent = self self.locations = Syslog.Correlator.Rules.Rule.AppliedTo.Locations() self.locations.parent = self class Contexts(object): """ Table of configured contexts to apply .. attribute:: context A context **type**\: list of :py:class:`Context <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.AppliedTo.Contexts.Context>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context = YList() self.context.parent = self self.context.name = 'context' class Context(object): """ A context .. attribute:: context <key> Context **type**\: str **length:** 0..32 """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.context is None: raise YPYModelError('Key property context is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:context[Cisco-IOS-XR-infra-correlator-cfg:context = ' + str(self.context) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.AppliedTo.Contexts.Context']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:contexts' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context is not None: for child_ref in self.context: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.AppliedTo.Contexts']['meta_info'] class Locations(object): """ Table of configured locations to apply .. attribute:: location A location **type**\: list of :py:class:`Location <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.Rules.Rule.AppliedTo.Locations.Location>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.location = YList() self.location.parent = self self.location.name = 'location' class Location(object): """ A location .. attribute:: location <key> Location **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.location = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.location is None: raise YPYModelError('Key property location is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:location[Cisco-IOS-XR-infra-correlator-cfg:location = ' + str(self.location) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.location is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.AppliedTo.Locations.Location']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:locations' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.location is not None: for child_ref in self.location: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.AppliedTo.Locations']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:applied-to' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.all is not None: return True if self.contexts is not None and self.contexts._has_data(): return True if self.locations is not None and self.locations._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule.AppliedTo']['meta_info'] @property def _common_path(self): if self.name is None: raise YPYModelError('Key property name is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:correlator/Cisco-IOS-XR-infra-correlator-cfg:rules/Cisco-IOS-XR-infra-correlator-cfg:rule[Cisco-IOS-XR-infra-correlator-cfg:name = ' + str(self.name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.name is not None: return True if self.applied_to is not None and self.applied_to._has_data(): return True if self.apply_to is not None and self.apply_to._has_data(): return True if self.definition is not None and self.definition._has_data(): return True if self.non_stateful is not None and self.non_stateful._has_data(): return True if self.stateful is not None and self.stateful._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules.Rule']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:correlator/Cisco-IOS-XR-infra-correlator-cfg:rules' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rule is not None: for child_ref in self.rule: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.Rules']['meta_info'] class RuleSets(object): """ Table of configured rulesets .. attribute:: rule_set Ruleset name **type**\: list of :py:class:`RuleSet <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rule_set = YList() self.rule_set.parent = self self.rule_set.name = 'rule_set' class RuleSet(object): """ Ruleset name .. attribute:: name <key> Ruleset name **type**\: str **length:** 0..32 .. attribute:: applied_to Applied to the Rule or Ruleset **type**\: :py:class:`AppliedTo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.AppliedTo>` .. attribute:: rulenames Table of configured rulenames **type**\: :py:class:`Rulenames <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.Rulenames>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.name = None self.applied_to = Syslog.Correlator.RuleSets.RuleSet.AppliedTo() self.applied_to.parent = self self.rulenames = Syslog.Correlator.RuleSets.RuleSet.Rulenames() self.rulenames.parent = self class Rulenames(object): """ Table of configured rulenames .. attribute:: rulename A rulename **type**\: list of :py:class:`Rulename <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.Rulenames.Rulename>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rulename = YList() self.rulename.parent = self self.rulename.name = 'rulename' class Rulename(object): """ A rulename .. attribute:: rulename <key> Rule name **type**\: str **length:** 0..32 """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rulename = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.rulename is None: raise YPYModelError('Key property rulename is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:rulename[Cisco-IOS-XR-infra-correlator-cfg:rulename = ' + str(self.rulename) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rulename is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.Rulenames.Rulename']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:rulenames' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rulename is not None: for child_ref in self.rulename: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.Rulenames']['meta_info'] class AppliedTo(object): """ Applied to the Rule or Ruleset .. attribute:: all Apply to all of the router **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: contexts Table of configured contexts to apply **type**\: :py:class:`Contexts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Contexts>` .. attribute:: locations Table of configured locations to apply **type**\: :py:class:`Locations <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Locations>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.all = None self.contexts = Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Contexts() self.contexts.parent = self self.locations = Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Locations() self.locations.parent = self class Contexts(object): """ Table of configured contexts to apply .. attribute:: context A context **type**\: list of :py:class:`Context <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Contexts.Context>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context = YList() self.context.parent = self self.context.name = 'context' class Context(object): """ A context .. attribute:: context <key> Context **type**\: str **length:** 0..32 """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.context = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.context is None: raise YPYModelError('Key property context is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:context[Cisco-IOS-XR-infra-correlator-cfg:context = ' + str(self.context) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Contexts.Context']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:contexts' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.context is not None: for child_ref in self.context: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Contexts']['meta_info'] class Locations(object): """ Table of configured locations to apply .. attribute:: location A location **type**\: list of :py:class:`Location <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Locations.Location>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.location = YList() self.location.parent = self self.location.name = 'location' class Location(object): """ A location .. attribute:: location <key> Location **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.location = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.location is None: raise YPYModelError('Key property location is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:location[Cisco-IOS-XR-infra-correlator-cfg:location = ' + str(self.location) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.location is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Locations.Location']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:locations' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.location is not None: for child_ref in self.location: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.AppliedTo.Locations']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:applied-to' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.all is not None: return True if self.contexts is not None and self.contexts._has_data(): return True if self.locations is not None and self.locations._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet.AppliedTo']['meta_info'] @property def _common_path(self): if self.name is None: raise YPYModelError('Key property name is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:correlator/Cisco-IOS-XR-infra-correlator-cfg:rule-sets/Cisco-IOS-XR-infra-correlator-cfg:rule-set[Cisco-IOS-XR-infra-correlator-cfg:name = ' + str(self.name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.name is not None: return True if self.applied_to is not None and self.applied_to._has_data(): return True if self.rulenames is not None and self.rulenames._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets.RuleSet']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:correlator/Cisco-IOS-XR-infra-correlator-cfg:rule-sets' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rule_set is not None: for child_ref in self.rule_set: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator.RuleSets']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:correlator' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.buffer_size is not None: return True if self.rule_sets is not None and self.rule_sets._has_data(): return True if self.rules is not None and self.rules._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Correlator']['meta_info'] class Suppression(object): """ Configure properties of the syslog/alarm suppression .. attribute:: rules Table of configured rules **type**\: :py:class:`Rules <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rules = Syslog.Suppression.Rules() self.rules.parent = self class Rules(object): """ Table of configured rules .. attribute:: rule Rule name **type**\: list of :py:class:`Rule <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.rule = YList() self.rule.parent = self self.rule.name = 'rule' class Rule(object): """ Rule name .. attribute:: name <key> Rule name **type**\: str **length:** 0..32 .. attribute:: alarm_causes Causes of alarms to be suppressed **type**\: :py:class:`AlarmCauses <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule.AlarmCauses>` .. attribute:: all_alarms Suppress all alarms **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: applied_to Applied to the Rule **type**\: :py:class:`AppliedTo <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule.AppliedTo>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.name = None self.alarm_causes = Syslog.Suppression.Rules.Rule.AlarmCauses() self.alarm_causes.parent = self self.all_alarms = None self.applied_to = Syslog.Suppression.Rules.Rule.AppliedTo() self.applied_to.parent = self class AppliedTo(object): """ Applied to the Rule .. attribute:: all Apply to all of the router **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: sources Table of configured sources to apply **type**\: :py:class:`Sources <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule.AppliedTo.Sources>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.all = None self.sources = Syslog.Suppression.Rules.Rule.AppliedTo.Sources() self.sources.parent = self class Sources(object): """ Table of configured sources to apply .. attribute:: source An alarm source **type**\: list of :py:class:`Source <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule.AppliedTo.Sources.Source>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.source = YList() self.source.parent = self self.source.name = 'source' class Source(object): """ An alarm source .. attribute:: source <key> Source **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.source = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.source is None: raise YPYModelError('Key property source is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:source[Cisco-IOS-XR-infra-correlator-cfg:source = ' + str(self.source) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.source is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule.AppliedTo.Sources.Source']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:sources' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.source is not None: for child_ref in self.source: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule.AppliedTo.Sources']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:applied-to' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.all is not None: return True if self.sources is not None and self.sources._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule.AppliedTo']['meta_info'] class AlarmCauses(object): """ Causes of alarms to be suppressed .. attribute:: alarm_cause Category, Group and Code of alarm/syslog to be suppressed **type**\: list of :py:class:`AlarmCause <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_syslog_cfg.Syslog.Suppression.Rules.Rule.AlarmCauses.AlarmCause>` """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.alarm_cause = YList() self.alarm_cause.parent = self self.alarm_cause.name = 'alarm_cause' class AlarmCause(object): """ Category, Group and Code of alarm/syslog to be suppressed .. attribute:: category <key> Category **type**\: str **length:** 0..32 .. attribute:: code <key> Code **type**\: str **length:** 0..32 .. attribute:: group <key> Group **type**\: str **length:** 0..32 """ _prefix = 'infra-correlator-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.category = None self.code = None self.group = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.category is None: raise YPYModelError('Key property category is None') if self.code is None: raise YPYModelError('Key property code is None') if self.group is None: raise YPYModelError('Key property group is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:alarm-cause[Cisco-IOS-XR-infra-correlator-cfg:category = ' + str(self.category) + '][Cisco-IOS-XR-infra-correlator-cfg:code = ' + str(self.code) + '][Cisco-IOS-XR-infra-correlator-cfg:group = ' + str(self.group) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.category is not None: return True if self.code is not None: return True if self.group is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule.AlarmCauses.AlarmCause']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-correlator-cfg:alarm-causes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.alarm_cause is not None: for child_ref in self.alarm_cause: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule.AlarmCauses']['meta_info'] @property def _common_path(self): if self.name is None: raise YPYModelError('Key property name is None') return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:suppression/Cisco-IOS-XR-infra-correlator-cfg:rules/Cisco-IOS-XR-infra-correlator-cfg:rule[Cisco-IOS-XR-infra-correlator-cfg:name = ' + str(self.name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.name is not None: return True if self.alarm_causes is not None and self.alarm_causes._has_data(): return True if self.all_alarms is not None: return True if self.applied_to is not None and self.applied_to._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules.Rule']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:suppression/Cisco-IOS-XR-infra-correlator-cfg:rules' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rule is not None: for child_ref in self.rule: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression.Rules']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog/Cisco-IOS-XR-infra-correlator-cfg:suppression' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.rules is not None and self.rules._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog.Suppression']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-syslog-cfg:syslog' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.alarm_logger is not None and self.alarm_logger._has_data(): return True if self.archive is not None and self.archive._has_data(): return True if self.buffered_logging is not None and self.buffered_logging._has_data(): return True if self.console_logging is not None and self.console_logging._has_data(): return True if self.correlator is not None and self.correlator._has_data(): return True if self.enable_console_logging is not None: return True if self.files is not None and self.files._has_data(): return True if self.history_logging is not None and self.history_logging._has_data(): return True if self.host_name_prefix is not None: return True if self.host_server is not None and self.host_server._has_data(): return True if self.ipv4 is not None and self.ipv4._has_data(): return True if self.ipv6 is not None and self.ipv6._has_data(): return True if self.local_log_file_size is not None: return True if self.logging_facilities is not None and self.logging_facilities._has_data(): return True if self.monitor_logging is not None and self.monitor_logging._has_data(): return True if self.source_interface_table is not None and self.source_interface_table._has_data(): return True if self.suppress_duplicates is not None: return True if self.suppression is not None and self.suppression._has_data(): return True if self.trap_logging is not None and self.trap_logging._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_syslog_cfg as meta return meta._meta_table['Syslog']['meta_info']

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ae9906ab2bf8111addf6cc2080dade2abb98f85d

27,658

py

Python

tb_rest_client/api/api_ce/admin_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

30

2020-06-19T06:42:50.000Z

2021-08-23T21:16:36.000Z

tb_rest_client/api/api_ce/admin_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

25

2021-08-30T01:17:27.000Z

2022-03-16T14:10:14.000Z

tb_rest_client/api/api_ce/admin_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

23

2020-07-06T13:41:54.000Z

2021-08-23T21:04:50.000Z

# coding: utf-8 """ ThingsBoard REST API ThingsBoard open-source IoT platform REST API documentation. # noqa: E501 OpenAPI spec version: 3.3.3-SNAPSHOT Contact: info@thingsboard.io 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 tb_rest_client.api_client import ApiClient class AdminControllerApi(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 check_updates_using_get(self, **kwargs): # noqa: E501 """Check for new Platform Releases (checkUpdates) # noqa: E501 Check notifications about new platform releases. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_updates_using_get(async_req=True) >>> result = thread.get() :param async_req bool :return: UpdateMessage If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.check_updates_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.check_updates_using_get_with_http_info(**kwargs) # noqa: E501 return data def check_updates_using_get_with_http_info(self, **kwargs): # noqa: E501 """Check for new Platform Releases (checkUpdates) # noqa: E501 Check notifications about new platform releases. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.check_updates_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: UpdateMessage 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 check_updates_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/updates', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UpdateMessage', # 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_admin_settings_using_get(self, key, **kwargs): # noqa: E501 """Get the Administration Settings object using key (getAdminSettings) # noqa: E501 Get the Administration Settings object using specified string key. Referencing non-existing key will cause an error. Available for users with 'SYS_ADMIN' authority. # 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_admin_settings_using_get(key, async_req=True) >>> result = thread.get() :param async_req bool :param str key: A string value of the key (e.g. 'general' or 'mail'). (required) :return: AdminSettings If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_admin_settings_using_get_with_http_info(key, **kwargs) # noqa: E501 else: (data) = self.get_admin_settings_using_get_with_http_info(key, **kwargs) # noqa: E501 return data def get_admin_settings_using_get_with_http_info(self, key, **kwargs): # noqa: E501 """Get the Administration Settings object using key (getAdminSettings) # noqa: E501 Get the Administration Settings object using specified string key. Referencing non-existing key will cause an error. Available for users with 'SYS_ADMIN' authority. # 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_admin_settings_using_get_with_http_info(key, async_req=True) >>> result = thread.get() :param async_req bool :param str key: A string value of the key (e.g. 'general' or 'mail'). (required) :return: AdminSettings If the method is called asynchronously, returns the request thread. """ all_params = ['key'] # 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_admin_settings_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'key' is set if ('key' not in params or params['key'] is None): raise ValueError("Missing the required parameter `key` when calling `get_admin_settings_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'key' in params: path_params['key'] = params['key'] # 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 = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/settings/{key}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminSettings', # 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_security_settings_using_get(self, **kwargs): # noqa: E501 """Get the Security Settings object # noqa: E501 Get the Security Settings object that contains password policy, etc. Available for users with 'SYS_ADMIN' authority. # 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_security_settings_using_get(async_req=True) >>> result = thread.get() :param async_req bool :return: SecuritySettings If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_security_settings_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_security_settings_using_get_with_http_info(**kwargs) # noqa: E501 return data def get_security_settings_using_get_with_http_info(self, **kwargs): # noqa: E501 """Get the Security Settings object # noqa: E501 Get the Security Settings object that contains password policy, etc. Available for users with 'SYS_ADMIN' authority. # 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_security_settings_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: SecuritySettings 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_security_settings_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/securitySettings', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SecuritySettings', # 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 save_admin_settings_using_post(self, **kwargs): # noqa: E501 """Get the Administration Settings object using key (getAdminSettings) # noqa: E501 Creates or Updates the Administration Settings. Platform generates random Administration Settings Id during settings creation. The Administration Settings Id will be present in the response. Specify the Administration Settings Id when you would like to update the Administration Settings. Referencing non-existing Administration Settings Id will cause an error. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.save_admin_settings_using_post(async_req=True) >>> result = thread.get() :param async_req bool :param AdminSettings body: :return: AdminSettings If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.save_admin_settings_using_post_with_http_info(**kwargs) # noqa: E501 else: (data) = self.save_admin_settings_using_post_with_http_info(**kwargs) # noqa: E501 return data def save_admin_settings_using_post_with_http_info(self, **kwargs): # noqa: E501 """Get the Administration Settings object using key (getAdminSettings) # noqa: E501 Creates or Updates the Administration Settings. Platform generates random Administration Settings Id during settings creation. The Administration Settings Id will be present in the response. Specify the Administration Settings Id when you would like to update the Administration Settings. Referencing non-existing Administration Settings Id will cause an error. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.save_admin_settings_using_post_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param AdminSettings body: :return: AdminSettings 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 save_admin_settings_using_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/settings', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AdminSettings', # 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 save_security_settings_using_post(self, **kwargs): # noqa: E501 """Update Security Settings (saveSecuritySettings) # noqa: E501 Updates the Security Settings object that contains password policy, etc. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.save_security_settings_using_post(async_req=True) >>> result = thread.get() :param async_req bool :param SecuritySettings body: :return: SecuritySettings If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.save_security_settings_using_post_with_http_info(**kwargs) # noqa: E501 else: (data) = self.save_security_settings_using_post_with_http_info(**kwargs) # noqa: E501 return data def save_security_settings_using_post_with_http_info(self, **kwargs): # noqa: E501 """Update Security Settings (saveSecuritySettings) # noqa: E501 Updates the Security Settings object that contains password policy, etc. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.save_security_settings_using_post_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param SecuritySettings body: :return: SecuritySettings 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 save_security_settings_using_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/securitySettings', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SecuritySettings', # 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 send_test_mail_using_post(self, **kwargs): # noqa: E501 """Send test email (sendTestMail) # noqa: E501 Attempts to send test email to the System Administrator User using Mail Settings provided as a parameter. You may change the 'To' email in the user profile of the System Administrator. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_test_mail_using_post(async_req=True) >>> result = thread.get() :param async_req bool :param AdminSettings body: :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.send_test_mail_using_post_with_http_info(**kwargs) # noqa: E501 else: (data) = self.send_test_mail_using_post_with_http_info(**kwargs) # noqa: E501 return data def send_test_mail_using_post_with_http_info(self, **kwargs): # noqa: E501 """Send test email (sendTestMail) # noqa: E501 Attempts to send test email to the System Administrator User using Mail Settings provided as a parameter. You may change the 'To' email in the user profile of the System Administrator. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_test_mail_using_post_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param AdminSettings body: :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 send_test_mail_using_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/settings/testMail', '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 send_test_sms_using_post(self, **kwargs): # noqa: E501 """Send test sms (sendTestMail) # noqa: E501 Attempts to send test sms to the System Administrator User using SMS Settings and phone number provided as a parameters of the request. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_test_sms_using_post(async_req=True) >>> result = thread.get() :param async_req bool :param TestSmsRequest body: :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.send_test_sms_using_post_with_http_info(**kwargs) # noqa: E501 else: (data) = self.send_test_sms_using_post_with_http_info(**kwargs) # noqa: E501 return data def send_test_sms_using_post_with_http_info(self, **kwargs): # noqa: E501 """Send test sms (sendTestMail) # noqa: E501 Attempts to send test sms to the System Administrator User using SMS Settings and phone number provided as a parameters of the request. Available for users with 'SYS_ADMIN' authority. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_test_sms_using_post_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param TestSmsRequest body: :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 send_test_sms_using_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/admin/settings/testSms', '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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0.023729

0.030508

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0.951211

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7

ae9e4d8b3f029999e78390dcc24fa7c4137dc45a

2,829

py

Python

database/nfl_data/migrations/0002_auto_20171217_1259.py

luispereda555/nfl-player-stats

e74c3817f7d10746546cdb9ce763bbd850badd89

[ "MIT" ]

74

2017-12-09T14:32:21.000Z

2022-01-26T20:22:09.000Z

database/nfl_data/migrations/0002_auto_20171217_1259.py

luispereda555/nfl-player-stats

e74c3817f7d10746546cdb9ce763bbd850badd89

[ "MIT" ]

14

2017-12-10T01:03:46.000Z

2020-12-02T16:12:39.000Z

database/nfl_data/migrations/0002_auto_20171217_1259.py

luispereda555/nfl-player-stats

e74c3817f7d10746546cdb9ce763bbd850badd89

[ "MIT" ]

41

2017-12-08T22:31:13.000Z

2021-12-08T23:25:50.000Z

# Generated by Django 2.0 on 2017-12-17 12:59 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('nfl_data', '0001_initial'), ] operations = [ migrations.AlterField( model_name='profile', name='birth_date', field=models.DateField(null=True), ), migrations.AlterField( model_name='profile', name='birth_place', field=models.CharField(max_length=50, null=True), ), migrations.AlterField( model_name='profile', name='college', field=models.CharField(max_length=30, null=True), ), migrations.AlterField( model_name='profile', name='current_salary', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='profile', name='current_team', field=models.CharField(max_length=3, null=True), ), migrations.AlterField( model_name='profile', name='death_date', field=models.DateField(null=True), ), migrations.AlterField( model_name='profile', name='draft_position', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='profile', name='draft_round', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='profile', name='draft_team', field=models.CharField(max_length=3, null=True), ), migrations.AlterField( model_name='profile', name='draft_year', field=models.CharField(max_length=4, null=True), ), migrations.AlterField( model_name='profile', name='height', field=models.CharField(max_length=4, null=True), ), migrations.AlterField( model_name='profile', name='high_school', field=models.CharField(max_length=30, null=True), ), migrations.AlterField( model_name='profile', name='hof_induction_year', field=models.DateField(null=True), ), migrations.AlterField( model_name='profile', name='name', field=models.CharField(max_length=50, null=True), ), migrations.AlterField( model_name='profile', name='position', field=models.CharField(max_length=2, null=True), ), migrations.AlterField( model_name='profile', name='weight', field=models.IntegerField(null=True), ), ]

30.095745

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0

1

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null

0

11

882720546ecd055e4bdee39e9ffbd53d399c3aec

2,009

py

Python

BreastCancer/controller.py

darius-luca-tech/AI_Projects

3cff26878807121e077375e5dbef39390fea0189

[ "MIT" ]

2

2020-07-11T14:48:27.000Z

2020-08-04T11:24:58.000Z

BreastCancer/controller.py

darius-luca-tech/AI_Projects

3cff26878807121e077375e5dbef39390fea0189

[ "MIT" ]

null

BreastCancer/controller.py

darius-luca-tech/AI_Projects

3cff26878807121e077375e5dbef39390fea0189

[ "MIT" ]

null

from model import InputForm from flask import Flask, render_template, request from compute import compute app = Flask(__name__) @app.route('/') def index(): # form = InputForm(request.form) # if request.method == 'POST' and form.validate(): # result = compute(form.a.data, form.b.data,form.c.data, form.d.data,form.e.data,form.z.data,form.g.data,form.h.data,form.i.data) # else: # result = None return render_template('header.html') @app.route('/Acasa/') def home(): # form = InputForm(request.form) # if request.method == 'POST' and form.validate(): # result = compute(form.a.data, form.b.data,form.c.data, form.d.data,form.e.data,form.z.data,form.g.data,form.h.data,form.i.data) # else: # result = None return render_template('Acasa.html') @app.route('/Sdc/', methods=['GET', 'POST']) def usingdata(): form = InputForm(request.form) if request.method == 'POST' and form.validate(): result = compute(form.a.data, form.b.data,form.c.data, form.d.data,form.e.data,form.z.data,form.g.data,form.h.data,form.i.data) else: result = None return render_template('Sdc.html', form=form, result=result) @app.route('/Mai_multe_informatii/') def moreinfo(): # form = InputForm(request.form) # if request.method == 'POST' and form.validate(): # result = compute(form.a.data, form.b.data,form.c.data, form.d.data,form.e.data,form.z.data,form.g.data,form.h.data,form.i.data) # else: # result = None return render_template('Mai_multe_informatii.html') @app.route('/Masuri_de_precautie/') def preventivemeasures(): # form = InputForm(request.form) # if request.method == 'POST' and form.validate(): # result = compute(form.a.data, form.b.data,form.c.data, form.d.data,form.e.data,form.z.data,form.g.data,form.h.data,form.i.data) # else: # result = None return render_template('Masuri_de_precautie.html') if __name__ == '__main__': app.run(debug = True)

35.875

137

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304

2,009

4.279605

0.177632

0.245965

0.076864

0.092237

0.714835

0

0.167247

2,009

55

138

36.527273

0.777645

0.469388

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0

1

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false

0

0.115385

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0

null

1

0

1

0

null

0

1

0

7

ee2883c2276cb3d65fb0f84406a9bc672000c003

8,393

py

Python

api/tests/test_project_posting_allocation.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

1

2022-03-03T09:55:57.000Z

api/tests/test_project_posting_allocation.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

7

2022-02-09T10:44:53.000Z

2022-03-28T03:29:43.000Z

api/tests/test_project_posting_allocation.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

null

import pytest from graphql_relay import from_global_id from django.contrib.auth.models import AnonymousUser from db.models import ProjectPostingState, ProjectPosting # pylint: disable=R0913 @pytest.mark.django_db def test_allocation_as_company(user_employee, company_project_posting_object, login, project_posting_allocation): _test_allocation(user_employee, user_employee.employee, user_employee.company, None, company_project_posting_object, login, project_posting_allocation) @pytest.mark.django_db def test_allocation_as_student(user_student, company_project_posting_object, login, project_posting_allocation): _test_allocation(user_student, None, None, user_student.student, company_project_posting_object, login, project_posting_allocation) def _test_allocation(user, employee, company, student, company_project_posting_object, login, project_posting_allocation): login(user) company_project_posting_object.form_step = 3 company_project_posting_object.company = company company_project_posting_object.employee = None company_project_posting_object.student = student company_project_posting_object.state = ProjectPostingState.DRAFT company_project_posting_object.save() data, errors = project_posting_allocation(user, company_project_posting_object.id, ProjectPostingState.PUBLIC, employee) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') slug = data.get('projectPostingAllocation').get('slug') element_id = from_global_id(data.get('projectPostingAllocation').get('projectPostingId'))[1] project_posting_slug = ProjectPosting.objects.get(slug=slug) project_posting = ProjectPosting.objects.get(pk=element_id) assert project_posting_slug == project_posting if employee is not None: assert project_posting.employee.id == employee.id assert project_posting.company.id == employee.user.company.id assert project_posting.student is None if student is not None: assert project_posting.student.id == student.id assert project_posting.employee is None assert project_posting.company is None assert project_posting.state == ProjectPostingState.PUBLIC assert project_posting.date_published is not None assert project_posting.form_step == 4 @pytest.mark.django_db def test_allocation_with_invalid_job_posting_id(user_employee, login, project_posting_allocation): login(user_employee) data, errors = project_posting_allocation(user_employee, 1337, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is not None assert data is not None assert data.get('projectPostingAllocation') is None @pytest.mark.django_db def test_allocation_without_login(user_employee, company_project_posting_object, project_posting_allocation): data, errors = project_posting_allocation(AnonymousUser(), company_project_posting_object.id, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is not None assert data is not None assert data.get('projectPostingAllocation') is None @pytest.mark.django_db def test_allocation_with_invalid_step(user_employee, company_project_posting_object, login, project_posting_allocation): login(user_employee) company_project_posting_object.form_step = 1 company_project_posting_object.save() data, errors = project_posting_allocation(user_employee, company_project_posting_object.id, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') is False errors = data.get('projectPostingAllocation').get('errors') assert errors is not None assert 'projectPostingStep' in errors @pytest.mark.django_db def test_allocation_as_employee_from_another_company(user_employee, user_employee_2, company_project_posting_object, login, project_posting_allocation): login(user_employee) company_project_posting_object.form_step = 3 company_project_posting_object.company = user_employee.company company_project_posting_object.employee = None company_project_posting_object.student = None company_project_posting_object.save() data, errors = project_posting_allocation(user_employee_2, company_project_posting_object.id, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') is False errors = data.get('projectPostingAllocation').get('errors') assert 'employee' in errors @pytest.mark.django_db def test_allocation_as_student_with_project_of_company(user_employee, user_student, company_project_posting_object, login, project_posting_allocation): login(user_employee) company_project_posting_object.form_step = 3 company_project_posting_object.company = user_employee.company company_project_posting_object.employee = None company_project_posting_object.student = None company_project_posting_object.save() data, errors = project_posting_allocation(user_student, company_project_posting_object.id, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') is False errors = data.get('projectPostingAllocation').get('errors') assert 'employee' in errors @pytest.mark.django_db def test_allocation_as_company_with_project_of_student(user_employee, user_student, company_project_posting_object, login, project_posting_allocation): login(user_employee) company_project_posting_object.form_step = 3 company_project_posting_object.company = None company_project_posting_object.employee = None company_project_posting_object.student = user_student.student company_project_posting_object.save() data, errors = project_posting_allocation(user_employee, company_project_posting_object.id, ProjectPostingState.PUBLIC, user_employee.employee) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') is False errors = data.get('projectPostingAllocation').get('errors') assert 'employee' in errors @pytest.mark.django_db def test_allocation_as_company_with_project_of_student_without_employee( user_employee, user_student, company_project_posting_object, login, project_posting_allocation): login(user_employee) company_project_posting_object.form_step = 3 company_project_posting_object.company = None company_project_posting_object.employee = None company_project_posting_object.student = user_student.student company_project_posting_object.save() data, errors = project_posting_allocation(user_employee, company_project_posting_object.id, ProjectPostingState.PUBLIC, None) assert errors is None assert data is not None assert data.get('projectPostingAllocation') is not None assert data.get('projectPostingAllocation').get('success') is False errors = data.get('projectPostingAllocation').get('errors') assert 'employee' in errors

46.370166

100

0.719647

935

8,393

6.125134

0.072727

0.19312

0.168675

0.216867

0.833944

0.818928

0.79099

0.753449

0.74367

0.706129

0

0.002746

0.219111

8,393

180

101

46.627778

0.871071

0.002502

0

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0.060215

0

0.310811

1

0.067568

false

0

0.027027

0

0.094595

0

null

0

1

0

null

0

7

c99965083653baf3c5516cbeefbe972fb1297b51

17,666

py

Python

flotilla/test/data_model/test_data_model_gene_ontology.py

YeoLab/flotilla

31da64567e59003c2b9c03fc8f4eb27ee62e299c

[ "MIT", "BSD-3-Clause" ]

98

2015-01-08T19:38:47.000Z

2021-05-04T02:11:55.000Z

flotilla/test/data_model/test_data_model_gene_ontology.py

YeoLab/flotilla

31da64567e59003c2b9c03fc8f4eb27ee62e299c

[ "MIT", "BSD-3-Clause" ]

123

2015-01-08T22:28:43.000Z

2019-12-20T05:22:29.000Z

flotilla/test/data_model/test_data_model_gene_ontology.py

YeoLab/flotilla

31da64567e59003c2b9c03fc8f4eb27ee62e299c

[ "MIT", "BSD-3-Clause" ]

27

2015-01-21T15:41:40.000Z

2020-12-22T05:40:47.000Z

""" """ from __future__ import absolute_import, division, print_function from __future__ import unicode_literals from collections import defaultdict import numpy as np import pandas as pd import pandas.util.testing as pdt import pytest from scipy.stats import hypergeom class TestGeneOntologyData(object): @pytest.fixture def gene_ontology(self, gene_ontology_data): from flotilla import GeneOntologyData return GeneOntologyData(gene_ontology_data) def test_init(self, gene_ontology_data, gene_ontology): true_data = gene_ontology_data.dropna() true_all_genes = true_data['Ensembl Gene ID'].unique() true_ontology = defaultdict(dict) for go, df in true_data.groupby('GO Term Accession'): true_ontology[go]['genes'] = set(df['Ensembl Gene ID']) true_ontology[go]['name'] = df['GO Term Name'].values[0] true_ontology[go]['domain'] = df['GO domain'].values[0] true_ontology[go]['n_genes'] = len(true_ontology[go]['genes']) pdt.assert_frame_equal(true_data, gene_ontology.data) pdt.assert_numpy_array_equal(sorted(true_all_genes), sorted(gene_ontology.all_genes)) pdt.assert_contains_all(true_ontology.keys(), gene_ontology.ontology) pdt.assert_contains_all(gene_ontology.ontology.keys(), true_ontology) for go, true_attributes in true_ontology.items(): test_attributes = gene_ontology.ontology[go] true_genes = sorted(true_attributes['genes']) test_genes = sorted(test_attributes['genes']) pdt.assert_numpy_array_equal(true_genes, test_genes) pdt.assert_equal(true_attributes['name'], test_attributes['name']) pdt.assert_equal(true_attributes['domain'], test_attributes['domain']) pdt.assert_equal(true_attributes['n_genes'], test_attributes['n_genes']) def test_enrichment(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] test_enrichment_df = gene_ontology.enrichment(features_of_interest) p_value_cutoff = 1000000 min_feature_size = 3 min_background_size = 5 cross_reference = {} domains = gene_ontology.domains background = gene_ontology.all_genes n_all_genes = len(background) n_features_of_interest = len(features_of_interest) enrichment = defaultdict(dict) for go_term, go_genes in gene_ontology.ontology.items(): if go_genes['domain'] not in domains: continue features_in_go = go_genes['genes'].intersection( features_of_interest) background_in_go = go_genes['genes'].intersection(background) too_few_features = len(features_in_go) < min_feature_size too_few_background = len(background_in_go) < min_background_size if too_few_features or too_few_background: continue # TODO D.R.Y. this # Survival function is more accurate on small p-values log_p_value = hypergeom.logsf(len(features_in_go), n_all_genes, len(background_in_go), n_features_of_interest) # p_value = 0 if p_value < 0 else p_value symbols = [cross_reference[f] if f in cross_reference else f for f in features_in_go] enrichment['negative_log_p_value'][go_term] = -log_p_value enrichment['n_features_of_interest_in_go_term'][go_term] = len( features_in_go) enrichment['n_background_in_go_term'][go_term] = len( background_in_go) enrichment['n_features_total_in_go_term'][go_term] = len( go_genes['genes']) enrichment['features_of_interest_in_go_term'][ go_term] = ','.join(features_in_go) enrichment['features_of_interest_in_go_term_gene_symbols'][ go_term] = ','.join(symbols) enrichment['go_domain'][go_term] = go_genes['domain'] enrichment['go_name'][go_term] = go_genes['name'] enrichment_df = pd.DataFrame(enrichment) # TODO D.R.Y. this # Bonferonni correction enrichment_df['bonferonni_corrected_negative_log_p_value'] = \ enrichment_df['negative_log_p_value'] \ - np.log(enrichment_df.shape[0]) ind = enrichment_df['bonferonni_corrected_negative_log_p_value' ] < np.log(p_value_cutoff) enrichment_df = enrichment_df.ix[ind] true_enrichment_df = enrichment_df.sort( columns=['negative_log_p_value'], ascending=False) pdt.assert_frame_equal(test_enrichment_df, true_enrichment_df) # TODO : FOUR TESTS EXPECTED TO FAIL #################################### @pytest.mark.xfail def test_invalid_background(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] background = [f + '_asdf' for f in features_of_interest] gene_ontology.enrichment(features_of_interest, background=background) @pytest.mark.xfail def test_invalid_features(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] features_of_interest = [f + '_asdf' for f in features_of_interest] background = [f + '_asdf' for f in gene_ontology.all_genes[:20]] gene_ontology.enrichment(features_of_interest, background=background) @pytest.mark.xfail def test_invalid_domain_str(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] gene_ontology.enrichment(features_of_interest, domain='fake_domain') @pytest.mark.xfail def test_invalid_domain_iterable(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] gene_ontology.enrichment(features_of_interest, domain=['fake_domain1', 'fake_domain2']) ########################################################################## def test_custom_domain_str(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] domain = 'cellular_component' test_enrichment_df = gene_ontology.enrichment(features_of_interest, domain=domain) domains = frozenset([domain]) p_value_cutoff = 1000000 min_feature_size = 3 min_background_size = 5 cross_reference = {} background = gene_ontology.all_genes n_all_genes = len(background) n_features_of_interest = len(features_of_interest) enrichment = defaultdict(dict) for go_term, go_genes in gene_ontology.ontology.items(): if go_genes['domain'] not in domains: continue features_in_go = go_genes['genes'].intersection( features_of_interest) background_in_go = go_genes['genes'].intersection(background) too_few_features = len(features_in_go) < min_feature_size too_few_background = len(background_in_go) < min_background_size if too_few_features or too_few_background: continue # TODO D.R.Y. this # Survival function is more accurate on small p-values log_p_value = hypergeom.logsf(len(features_in_go), n_all_genes, len(background_in_go), n_features_of_interest) # p_value = 0 if p_value < 0 else p_value symbols = [cross_reference[f] if f in cross_reference else f for f in features_in_go] enrichment['negative_log_p_value'][go_term] = -log_p_value enrichment['n_features_of_interest_in_go_term'][go_term] = len( features_in_go) enrichment['n_background_in_go_term'][go_term] = len( background_in_go) enrichment['n_features_total_in_go_term'][go_term] = len( go_genes['genes']) enrichment['features_of_interest_in_go_term'][ go_term] = ','.join(features_in_go) enrichment['features_of_interest_in_go_term_gene_symbols'][ go_term] = ','.join(symbols) enrichment['go_domain'][go_term] = go_genes['domain'] enrichment['go_name'][go_term] = go_genes['name'] enrichment_df = pd.DataFrame(enrichment) # TODO D.R.Y. this # Bonferonni correction enrichment_df['bonferonni_corrected_negative_log_p_value'] = \ enrichment_df['negative_log_p_value'] \ - np.log(enrichment_df.shape[0]) ind = enrichment_df['bonferonni_corrected_negative_log_p_value' ] < np.log(p_value_cutoff) enrichment_df = enrichment_df.ix[ind] true_enrichment_df = enrichment_df.sort( columns=['negative_log_p_value'], ascending=False) pdt.assert_frame_equal(test_enrichment_df, true_enrichment_df) def test_custom_domain_iterable(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:10] domain = ['cellular_component', 'molecular_function'] test_enrichment_df = gene_ontology.enrichment(features_of_interest, domain=domain) domains = frozenset(domain) p_value_cutoff = 1000000 min_feature_size = 3 min_background_size = 5 cross_reference = {} background = gene_ontology.all_genes n_all_genes = len(background) n_features_of_interest = len(features_of_interest) enrichment = defaultdict(dict) for go_term, go_genes in gene_ontology.ontology.items(): if go_genes['domain'] not in domains: continue features_in_go = go_genes['genes'].intersection( features_of_interest) background_in_go = go_genes['genes'].intersection(background) too_few_features = len(features_in_go) < min_feature_size too_few_background = len(background_in_go) < min_background_size if too_few_features or too_few_background: continue # TODO D.R.Y this # Survival function is more accurate on small p-values log_p_value = hypergeom.logsf(len(features_in_go), n_all_genes, len(background_in_go), n_features_of_interest) # p_value = 0 if p_value < 0 else p_value symbols = [cross_reference[f] if f in cross_reference else f for f in features_in_go] enrichment['negative_log_p_value'][go_term] = - log_p_value enrichment['n_features_of_interest_in_go_term'][go_term] = len( features_in_go) enrichment['n_background_in_go_term'][go_term] = len( background_in_go) enrichment['n_features_total_in_go_term'][go_term] = len( go_genes['genes']) enrichment['features_of_interest_in_go_term'][ go_term] = ','.join(features_in_go) enrichment['features_of_interest_in_go_term_gene_symbols'][ go_term] = ','.join(symbols) enrichment['go_domain'][go_term] = go_genes['domain'] enrichment['go_name'][go_term] = go_genes['name'] enrichment_df = pd.DataFrame(enrichment) # TODO D.R.Y. this # Bonferonni correction enrichment_df['bonferonni_corrected_negative_log_p_value'] = \ enrichment_df['negative_log_p_value'] \ - np.log(enrichment_df.shape[0]) ind = enrichment_df['bonferonni_corrected_negative_log_p_value' ] < np.log(p_value_cutoff) enrichment_df = enrichment_df.ix[ind] true_enrichment_df = enrichment_df.sort( columns=['negative_log_p_value'], ascending=False) pdt.assert_frame_equal(test_enrichment_df, true_enrichment_df) def test_too_few_features(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:3] test_enrichment_df = gene_ontology.enrichment(features_of_interest) domains = gene_ontology.domains p_value_cutoff = 1000000 min_feature_size = 3 min_background_size = 5 cross_reference = {} background = gene_ontology.all_genes n_all_genes = len(background) n_features_of_interest = len(features_of_interest) enrichment = defaultdict(dict) for go_term, go_genes in gene_ontology.ontology.items(): if go_genes['domain'] not in domains: continue features_in_go = go_genes['genes'].intersection( features_of_interest) background_in_go = go_genes['genes'].intersection(background) too_few_features = len(features_in_go) < min_feature_size too_few_background = len(background_in_go) < min_background_size if too_few_features or too_few_background: continue # TODO D.R.Y. this # Survival function is more accurate on small p-values log_p_value = hypergeom.logsf(len(features_in_go), n_all_genes, len(background_in_go), n_features_of_interest) # p_value = 0 if p_value < 0 else p_value symbols = [cross_reference[f] if f in cross_reference else f for f in features_in_go] enrichment['negative_log_p_value'][go_term] = -log_p_value enrichment['n_features_of_interest_in_go_term'][go_term] = len( features_in_go) enrichment['n_background_in_go_term'][go_term] = len( background_in_go) enrichment['n_features_total_in_go_term'][go_term] = len( go_genes['genes']) enrichment['features_of_interest_in_go_term'][ go_term] = ','.join(features_in_go) enrichment['features_of_interest_in_go_term_gene_symbols'][ go_term] = ','.join(symbols) enrichment['go_domain'][go_term] = go_genes['domain'] enrichment['go_name'][go_term] = go_genes['name'] enrichment_df = pd.DataFrame(enrichment) # TODO D.R.Y. this # Bonferonni correction enrichment_df['bonferonni_corrected_negative_log_p_value'] = \ enrichment_df['negative_log_p_value'] \ - np.log(enrichment_df.shape[0]) ind = enrichment_df['bonferonni_corrected_negative_log_p_value' ] < np.log(p_value_cutoff) enrichment_df = enrichment_df.ix[ind] true_enrichment_df = enrichment_df.sort( columns=['negative_log_p_value'], ascending=False) pdt.assert_frame_equal(test_enrichment_df, true_enrichment_df) def test_no_enrichment(self, gene_ontology): features_of_interest = gene_ontology.all_genes[:2] test_enrichment_df = gene_ontology.enrichment(features_of_interest) domains = gene_ontology.domains min_feature_size = 3 min_background_size = 5 cross_reference = {} background = gene_ontology.all_genes n_all_genes = len(background) n_features_of_interest = len(features_of_interest) enrichment = defaultdict(dict) for go_term, go_genes in gene_ontology.ontology.items(): if go_genes['domain'] not in domains: continue features_in_go = go_genes['genes'].intersection( features_of_interest) background_in_go = go_genes['genes'].intersection(background) too_few_features = len(features_in_go) < min_feature_size too_few_background = len(background_in_go) < min_background_size if too_few_features or too_few_background: continue # Survival function is more accurate on small p-values p_value = hypergeom.sf(len(features_in_go), n_all_genes, len(background_in_go), n_features_of_interest) p_value = 0 if p_value < 0 else p_value symbols = [cross_reference[f] if f in cross_reference else f for f in features_in_go] enrichment['p_value'][go_term] = p_value enrichment['n_features_of_interest_in_go_term'][go_term] = len( features_in_go) enrichment['n_background_in_go_term'][go_term] = len( background_in_go) enrichment['n_features_total_in_go_term'][go_term] = len( go_genes['genes']) enrichment['features_of_interest_in_go_term'][ go_term] = ','.join(features_in_go) enrichment['features_of_interest_in_go_term_gene_symbols'][ go_term] = ','.join(symbols) enrichment['go_domain'][go_term] = go_genes['domain'] enrichment['go_name'][go_term] = go_genes['name'] true_enrichment_df = pd.DataFrame(enrichment) assert true_enrichment_df.empty assert test_enrichment_df is None

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c9fa4b0291e9c571c5e5e6d4c6e26ba709c3e2ec

55,755

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Python

dohq_teamcity/api/agent_pool_api.py

DenKoren/teamcity

69acb4d1402c316129b4602882a9cce2d55cf926

[ "MIT" ]

23

2018-10-19T07:28:45.000Z

2021-11-12T12:46:09.000Z

dohq_teamcity/api/agent_pool_api.py

DenKoren/teamcity

69acb4d1402c316129b4602882a9cce2d55cf926

[ "MIT" ]

31

2018-10-16T05:53:11.000Z

2021-09-09T14:44:14.000Z

dohq_teamcity/api/agent_pool_api.py

DenKoren/teamcity

69acb4d1402c316129b4602882a9cce2d55cf926

[ "MIT" ]

12

2018-10-28T23:00:17.000Z

2021-09-07T12:07:13.000Z

# coding: utf-8 """ TeamCity REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 2018.1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import from dohq_teamcity.custom.base_model import TeamCityObject import re # noqa: F401 # python 2 and python 3 compatibility library import six from dohq_teamcity.models.agent import Agent # noqa: F401,E501 from dohq_teamcity.models.agent_pool import AgentPool # noqa: F401,E501 from dohq_teamcity.models.agent_pools import AgentPools # noqa: F401,E501 from dohq_teamcity.models.agents import Agents # noqa: F401,E501 from dohq_teamcity.models.project import Project # noqa: F401,E501 from dohq_teamcity.models.projects import Projects # noqa: F401,E501 class AgentPoolApi(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 """ base_name = 'AgentPool' def __init__(self, api_client=None): self.api_client = api_client def add_agent(self, agent_pool_locator, **kwargs): # noqa: E501 """add_agent # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_agent(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param Agent body: :param str fields: :return: Agent If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__add_agent_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__add_agent_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def add_project(self, agent_pool_locator, **kwargs): # noqa: E501 """add_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_project(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param Project body: :return: Project If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__add_project_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__add_project_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def create_pool(self, **kwargs): # noqa: E501 """create_pool # 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_pool(async_req=True) >>> result = thread.get() :param async_req: bool :param AgentPool body: :return: AgentPool If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__create_pool_with_http_info(**kwargs) # noqa: E501 else: (data) = self.__create_pool_with_http_info(**kwargs) # noqa: E501 return data def delete_pool(self, agent_pool_locator, **kwargs): # noqa: E501 """delete_pool # 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_pool(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (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_pool_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__delete_pool_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def delete_pool_project(self, agent_pool_locator, project_locator, **kwargs): # noqa: E501 """delete_pool_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_pool_project(agent_pool_locator, project_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str project_locator: (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_pool_project_with_http_info(agent_pool_locator, project_locator, **kwargs) # noqa: E501 else: (data) = self.__delete_pool_project_with_http_info(agent_pool_locator, project_locator, **kwargs) # noqa: E501 return data def delete_projects(self, agent_pool_locator, **kwargs): # noqa: E501 """delete_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_projects(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (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_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__delete_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def get_field(self, agent_pool_locator, field, **kwargs): # noqa: E501 """get_field # 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_field(agent_pool_locator, field, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str field: (required) :return: 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_field_with_http_info(agent_pool_locator, field, **kwargs) # noqa: E501 else: (data) = self.__get_field_with_http_info(agent_pool_locator, field, **kwargs) # noqa: E501 return data def get_pool(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool # 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_pool(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str fields: :return: AgentPool If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__get_pool_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__get_pool_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def get_pool_agents(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool_agents # 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_pool_agents(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str locator: :param str fields: :return: Agents If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__get_pool_agents_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__get_pool_agents_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def get_pool_project(self, agent_pool_locator, project_locator, **kwargs): # noqa: E501 """get_pool_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pool_project(agent_pool_locator, project_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str project_locator: (required) :param str fields: :return: Project If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__get_pool_project_with_http_info(agent_pool_locator, project_locator, **kwargs) # noqa: E501 else: (data) = self.__get_pool_project_with_http_info(agent_pool_locator, project_locator, **kwargs) # noqa: E501 return data def get_pool_projects(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pool_projects(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str fields: :return: Projects If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__get_pool_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__get_pool_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def get_pools(self, **kwargs): # noqa: E501 """get_pools # 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_pools(async_req=True) >>> result = thread.get() :param async_req: bool :param str locator: :param str fields: :return: AgentPools If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__get_pools_with_http_info(**kwargs) # noqa: E501 else: (data) = self.__get_pools_with_http_info(**kwargs) # noqa: E501 return data def replace_projects(self, agent_pool_locator, **kwargs): # noqa: E501 """replace_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_projects(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param Projects body: :return: Projects If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__replace_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 else: (data) = self.__replace_projects_with_http_info(agent_pool_locator, **kwargs) # noqa: E501 return data def set_field(self, agent_pool_locator, field, **kwargs): # noqa: E501 """set_field # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.set_field(agent_pool_locator, field, async_req=True) >>> result = thread.get() :param async_req: bool :param str agent_pool_locator: (required) :param str field: (required) :param str body: :return: str If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.__set_field_with_http_info(agent_pool_locator, field, **kwargs) # noqa: E501 else: (data) = self.__set_field_with_http_info(agent_pool_locator, field, **kwargs) # noqa: E501 return data def __add_agent_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """add_agent # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__add_agent_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param Agent body: :param str fields: :return: Agent If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'body', '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 add_agent" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `add_agent`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/agents', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Agent', # 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 __add_project_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """add_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__add_project_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param Project body: :return: Project If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', '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 add_project" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `add_project`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Project', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def __create_pool_with_http_info(self, **kwargs): # noqa: E501 """create_pool # 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_pool_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param AgentPool body: :return: AgentPool 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 create_pool" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AgentPool', # 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_pool_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """delete_pool # 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_pool_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator'] # 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_pool" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `delete_pool`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}', '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_pool_project_with_http_info(self, agent_pool_locator, project_locator, **kwargs): # noqa: E501 """delete_pool_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__delete_pool_project_with_http_info(agent_pool_locator, project_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str project_locator: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'project_locator'] # 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_pool_project" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `delete_pool_project`") # noqa: E501 # verify the required parameter 'project_locator' is set if ('project_locator' not in params or params['project_locator'] is None): raise ValueError("Missing the required parameter `project_locator` when calling `delete_pool_project`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 if 'project_locator' in params: if isinstance(params['project_locator'], TeamCityObject): path_params['projectLocator'] = params['project_locator'].locator_id else: path_params['projectLocator'] = params['project_locator'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects/{projectLocator}', '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_projects_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """delete_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__delete_projects_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator'] # 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_projects" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `delete_projects`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects', '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_field_with_http_info(self, agent_pool_locator, field, **kwargs): # noqa: E501 """get_field # 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_field_with_http_info(agent_pool_locator, field, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str field: (required) :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'field'] # 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_field" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `get_field`") # noqa: E501 # verify the required parameter 'field' is set if ('field' not in params or params['field'] is None): raise ValueError("Missing the required parameter `field` when calling `get_field`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 if 'field' in params: if isinstance(params['field'], TeamCityObject): path_params['field'] = params['field'].locator_id else: path_params['field'] = params['field'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/{field}', 'GET', 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=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_pool_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool # 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_pool_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str fields: :return: AgentPool If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', '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_pool" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `get_pool`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AgentPool', # 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_pool_agents_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool_agents # 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_pool_agents_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str locator: :param str fields: :return: Agents If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'locator', '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_pool_agents" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `get_pool_agents`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] if 'locator' in params: query_params.append(('locator', params['locator'])) # noqa: E501 if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/agents', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Agents', # 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_pool_project_with_http_info(self, agent_pool_locator, project_locator, **kwargs): # noqa: E501 """get_pool_project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__get_pool_project_with_http_info(agent_pool_locator, project_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str project_locator: (required) :param str fields: :return: Project If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'project_locator', '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_pool_project" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `get_pool_project`") # noqa: E501 # verify the required parameter 'project_locator' is set if ('project_locator' not in params or params['project_locator'] is None): raise ValueError("Missing the required parameter `project_locator` when calling `get_pool_project`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 if 'project_locator' in params: if isinstance(params['project_locator'], TeamCityObject): path_params['projectLocator'] = params['project_locator'].locator_id else: path_params['projectLocator'] = params['project_locator'] # noqa: E501 query_params = [] if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects/{projectLocator}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Project', # 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_pool_projects_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """get_pool_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__get_pool_projects_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str fields: :return: Projects If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', '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_pool_projects" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `get_pool_projects`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Projects', # 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_pools_with_http_info(self, **kwargs): # noqa: E501 """get_pools # 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_pools_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str locator: :param str fields: :return: AgentPools If the method is called asynchronously, returns the request thread. """ all_params = ['locator', '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_pools" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'locator' in params: query_params.append(('locator', params['locator'])) # noqa: E501 if 'fields' in params: query_params.append(('fields', params['fields'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='AgentPools', # 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 __replace_projects_with_http_info(self, agent_pool_locator, **kwargs): # noqa: E501 """replace_projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__replace_projects_with_http_info(agent_pool_locator, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param Projects body: :return: Projects If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', '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 replace_projects" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `replace_projects`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/projects', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Projects', # 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 __set_field_with_http_info(self, agent_pool_locator, field, **kwargs): # noqa: E501 """set_field # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.__set_field_with_http_info(agent_pool_locator, field, async_req=True) >>> result = thread.get() :param async_req bool :param str agent_pool_locator: (required) :param str field: (required) :param str body: :return: str If the method is called asynchronously, returns the request thread. """ all_params = ['agent_pool_locator', 'field', '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 set_field" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'agent_pool_locator' is set if ('agent_pool_locator' not in params or params['agent_pool_locator'] is None): raise ValueError("Missing the required parameter `agent_pool_locator` when calling `set_field`") # noqa: E501 # verify the required parameter 'field' is set if ('field' not in params or params['field'] is None): raise ValueError("Missing the required parameter `field` when calling `set_field`") # noqa: E501 collection_formats = {} path_params = {} if 'agent_pool_locator' in params: if isinstance(params['agent_pool_locator'], TeamCityObject): path_params['agentPoolLocator'] = params['agent_pool_locator'].locator_id else: path_params['agentPoolLocator'] = params['agent_pool_locator'] # noqa: E501 if 'field' in params: if isinstance(params['field'], TeamCityObject): path_params['field'] = params['field'].locator_id else: path_params['field'] = params['field'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/app/rest/agentPools/{agentPoolLocator}/{field}', '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=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)

39.768188

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0.611586

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0.041049

0.979382

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0

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39.796574

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0.041694

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0

null

0

1

0

1

0

null

0

8

a00404bd3f4f82eb4ad8f0b592cd3d76f188b635

203

py

Python

blog/views.py

binxsahib/WholesaleManagement

e3a59773abe3bbe81538ba4f2debcbe9b3d3547a

[ "CC0-1.0" ]

null

blog/views.py

binxsahib/WholesaleManagement

e3a59773abe3bbe81538ba4f2debcbe9b3d3547a

[ "CC0-1.0" ]

null

blog/views.py

binxsahib/WholesaleManagement

e3a59773abe3bbe81538ba4f2debcbe9b3d3547a

[ "CC0-1.0" ]

null

from django.shortcuts import render # Create your views here. def homepage(request): return render(request, 'Blog/home.html') def contact(request): return render(request, 'Blog/contact.html')

20.3

47

0.738916

27

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0.253333

0.346667

0.4

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1

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1

0

7

a00b31466ab77e7f50c4562e59adb3fd769af515

24,020

py

Python

tests/st/gradient/test_custom_cell_bprop.py

httpsgithu/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

1

2022-02-23T09:13:43.000Z

tests/st/gradient/test_custom_cell_bprop.py

949144093/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

null

tests/st/gradient/test_custom_cell_bprop.py

949144093/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

null

# Copyright 2020 Huawei Technologies Co., Ltd # # 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. # ============================================================================ """ test_cell_bprop """ import numpy as np import pytest import mindspore as ms import mindspore.common.dtype as mstype import mindspore.nn as nn from mindspore import Parameter, ParameterTuple from mindspore import context from mindspore.common.initializer import initializer from mindspore.common.tensor import Tensor from mindspore.ops import composite as C from mindspore.ops import operations as P grad_all = C.GradOperation(get_all=True) class MulAdd(nn.Cell): def construct(self, x, y): return 2 * x + y def bprop(self, x, y, out, dout): # In this test case, The user defined bprop is wrong defined purposely to distinguish from ad result return 2 * dout, 2 * y @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_mul_add(): mul_add = MulAdd() x = Tensor(1, dtype=ms.int32) y = Tensor(2, dtype=ms.int32) assert grad_all(mul_add)(x, y) == (2, 4) class InlineMulADD(nn.Cell): def __init__(self): super(InlineMulADD, self).__init__() self.mul_add = MulAdd() self.param = 2 def construct(self, x, y): return self.mul_add(x, y) + x + self.param * y @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_inline_mul_add(): inline_mul_add = InlineMulADD() x = Tensor(1, dtype=ms.int32) y = Tensor(2, dtype=ms.int32) assert grad_all(inline_mul_add)(x, y) == (3, 6) class WithParameter(nn.Cell): def __init__(self): super(WithParameter, self).__init__() self.param1 = Parameter(1, 'param1') self.param2 = Parameter(2, 'param2') def construct(self, x, y): return self.param1 * self.param2 * x + y def bprop(self, x, y, out, dout): # In this test case, The user defined bprop is wrong defined purposely to distinguish from ad result return self.param1 * self.param2 * dout, 2 * y @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_with_param(): with_param = WithParameter() with pytest.raises(RuntimeError): grad_all(with_param)(1, 2) class WithNoBprop(nn.Cell): def construct(self, x, y): return 2 * x + y @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_with_no_bprop(): with_no_bprop = WithNoBprop() x = Tensor(1, dtype=ms.int32) y = Tensor(2, dtype=ms.int32) assert grad_all(with_no_bprop)(x, y) == (2, 1) @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_in_bprop_1(): class GradInBprop_1(nn.Cell): def __init__(self): super(GradInBprop_1, self).__init__() self.relu = P.ReLU() def construct(self, x, y): return self.relu(x) class GradInBprop_2(nn.Cell): def __init__(self): super(GradInBprop_2, self).__init__() self.f = GradInBprop_1() def construct(self, x, y): return self.f(x, y), grad_all(self.f)(x, y) def bprop(self, x, y, out, dout): grads = grad_all(self.f)(x, y) return out[1][0], grads[1] class GradInBprop_3(nn.Cell): def __init__(self): super(GradInBprop_3, self).__init__() self.f = GradInBprop_2() def construct(self, x, y): return self.f(x, y) grad_in_bprop = GradInBprop_3() grads = grad_all(grad_in_bprop)(Tensor(np.ones([2, 2]).astype(np.float32)), Tensor(np.ones([2, 2]).astype(np.float32))) assert (grads[0].asnumpy() == np.ones([2, 2]).astype(np.float32)).all() assert (grads[1].asnumpy() == np.zeros([2, 2]).astype(np.float32)).all() @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_in_bprop_2(): class GradInBprop_1(nn.Cell): def __init__(self): super(GradInBprop_1, self).__init__() self.relu = P.ReLU() def construct(self, x, y): return self.relu(x) def bprop(self, x, y, out, dout): return x * y, y + x class GradInBprop_2(nn.Cell): def __init__(self): super(GradInBprop_2, self).__init__() self.f = GradInBprop_1() def construct(self, x, y): return self.f(x, y), grad_all(self.f)(x, y) def bprop(self, x, y, out, dout): grads = grad_all(self.f)(x, y) return out[1][0], grads[1] class GradInBprop_3(nn.Cell): def __init__(self): super(GradInBprop_3, self).__init__() self.f = GradInBprop_2() def construct(self, x, y): return self.f(x, y) grad_in_bprop = GradInBprop_3() grads = grad_all(grad_in_bprop)(Tensor(np.ones([2, 2]).astype(np.float32)), Tensor(np.ones([2, 2]).astype(np.float32))) assert (grads[0].asnumpy() == np.ones([2, 2]).astype(np.float32)).all() assert (grads[1].asnumpy() == np.array([[2, 2], [2, 2]]).astype(np.float32)).all() @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_in_bprop_3(): class GradInBprop_1(nn.Cell): def __init__(self): super(GradInBprop_1, self).__init__() self.relu = P.ReLU() def construct(self, x, y): return self.relu(x) class GradInBprop_2(nn.Cell): def __init__(self): super(GradInBprop_2, self).__init__() self.f = GradInBprop_1() def construct(self, x, y): return self.f(x, y), grad_all(self.f)(x, y) def bprop(self, x, y, out, dout): grads = grad_all(self.f)(x, y) return out[1][0], grads[1] class GradInBprop_3(nn.Cell): def __init__(self): super(GradInBprop_3, self).__init__() self.f = GradInBprop_2() def construct(self, x, y): return self.f(x, y) def bprop(self, x, y, out, dout): return x + y + y + out[0], x + x + y + y + dout[0] grad_in_bprop = GradInBprop_3() grads = grad_all(grad_in_bprop)(Tensor(np.ones([2, 2]).astype(np.float32)), Tensor(np.ones([2, 2]).astype(np.float32))) assert (grads[0].asnumpy() == np.array([[4, 4], [4, 4]]).astype(np.float32)).all() assert (grads[1].asnumpy() == np.array([[5, 5], [5, 5]]).astype(np.float32)).all() class OneInputBprop(nn.Cell): def __init__(self): super().__init__() self.op = P.ReLU() def construct(self, x): return self.op(x) def bprop(self, x, out, dout): return (5 * x,) @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_one_input_bprop(): net = OneInputBprop() input1 = Tensor(np.ones([2, 2]).astype(np.float32)) grad = grad_all(net)(input1) assert (grad[0].asnumpy() == np.array([5, 5]).astype(np.float32)).all() class TwoInput(nn.Cell): def construct(self, x, y): return x * y class InlineBpropTwoInput(nn.Cell): def __init__(self): super().__init__() self.f = TwoInput() def construct(self, x, y): return self.f(x, y), grad_all(self.f)(x, y) def bprop(self, x, y, out, dout): grads = grad_all(self.f)(x, y) return grads[0] * 2, grads[1] * 2 @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_inline_bprop_two_input(): net = InlineBpropTwoInput() input1 = Tensor(np.ones([2, 2]).astype(np.float32)) input2 = Tensor(np.ones([2, 2]).astype(np.float32)) grads = grad_all(net)(input1, input2) assert (grads[0].asnumpy() == np.array([2, 2]).astype(np.float32)).all() assert (grads[1].asnumpy() == np.array([2, 2]).astype(np.float32)).all() assert len(grads) == 2 class TwoInputBprop(nn.Cell): def __init__(self): super().__init__() self.op = P.Mul() def construct(self, x, y): return self.op(x, y) def bprop(self, x, y, out, dout): return 5 * x, 8 * y class TwoInputWithParameter(nn.Cell): def __init__(self): super().__init__() self.op = P.Mul() self.inputdata = Parameter(initializer(1, (2, 2), mstype.float32), name="global_step") def construct(self, x, y): x = self.inputdata + x return self.op(x, y) class TwoInputWithOnlyInitParameterBprop(nn.Cell): def __init__(self): super().__init__() self.op = P.Mul() self.inputdata = Parameter(initializer(1, (2, 2), mstype.float32), name="global_step") def construct(self, x, y): return self.op(x, y) def bprop(self, x, y, out, dout): return 5 * x, 8 * y class InlineMutilTwoInputParameterCell(nn.Cell): def __init__(self): super().__init__() self.f1 = TwoInputBprop() self.f2 = TwoInput() self.f3 = TwoInputWithParameter() self.f4 = TwoInputWithOnlyInitParameterBprop() def construct(self, x, y): output = self.f1(x, y) + self.f2(x, y) + self.f3(x, y) + self.f4(x, y) return output @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_inline_bprop_multi_input(): net = InlineMutilTwoInputParameterCell() input1 = Tensor(np.ones([2, 2]).astype(np.float32)) input2 = Tensor(np.ones([2, 2]).astype(np.float32)) net.init_parameters_data() grads = grad_all(net)(input1, input2) assert (grads[0].asnumpy() == np.array([[12, 12], [12, 12]]).astype(np.float32)).all() assert (grads[1].asnumpy() == np.array([[19, 19], [19, 19]]).astype(np.float32)).all() assert len(grads) == 2 class MulAddWithParam(nn.Cell): def __init__(self): super(MulAddWithParam, self).__init__() self.mul_add = MulAdd() self.param = Parameter(Tensor(np.array([[3, 2]], np.float32)), 'param') def construct(self, x): return self.mul_add(self.param, x) @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_refkey_bprop(): grad_by_list = C.GradOperation(get_all=True, get_by_list=True) class GradWrap(nn.Cell): def __init__(self, network): super(GradWrap, self).__init__() self.network = network self.weights = ParameterTuple(filter(lambda x: x.requires_grad, network.get_parameters())) def construct(self, x): weights = self.weights grads = grad_by_list(self.network, weights)(x) return grads network = GradWrap(MulAddWithParam()) input_data = Tensor(np.array([2, 2], np.float32)) grads = network(input_data) assert (grads[0][0].asnumpy() == np.array([4, 4]).astype(np.float32)).all() assert (grads[1][0].asnumpy() == np.array([2, 2]).astype(np.float32)).all() class MulAddWithWrongOutputNum(nn.Cell): def construct(self, x, y): return 2 * x + y def bprop(self, x, y, out, dout): return (2 * dout,) @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_mul_add_with_wrong_output_num(): context.set_context(check_bprop=True) mul_add = MulAddWithWrongOutputNum() with pytest.raises(TypeError): grad_all(mul_add)(1, 2) class MulAddWithWrongOutputType(nn.Cell): def construct(self, x, y): return 2 * x + y def bprop(self, x, y, out, dout): return 2 * dout, 2 @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_mul_add_with_wrong_output_type(): context.set_context(check_bprop=True) mul_add = MulAddWithWrongOutputType() with pytest.raises(TypeError): grad_all(mul_add)(1, Tensor(np.ones([2, 2]))) class MulAddWithWrongOutputShape(nn.Cell): def __init__(self): super(MulAddWithWrongOutputShape, self).__init__() self.ones = Tensor(np.ones([2,])) def construct(self, x, y): return 2 * x + y def bprop(self, x, y, out, dout): return 2, self.ones @pytest.mark.level0 @pytest.mark.platform_x86_ascend_training @pytest.mark.env_onecard def test_grad_mul_add_with_wrong_output_shape(): context.set_context(check_bprop=True) mul_add = MulAddWithWrongOutputShape() with pytest.raises(TypeError): grad_all(mul_add)(1, Tensor(np.ones([2, 2]))) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_forward_with_parameter(): """ Feature: Custom cell bprop Description: Get the gradients of inputs when the forward net using Parameter. Expectation: Get the correct gradients. """ class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net def construct(self, x, y): grad_f = grad_all(self.net) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) assert np.allclose(out[0].asnumpy(), expect_dx) assert np.allclose(out[1].asnumpy(), expect_dy) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_forward_with_parameter_in_sub_cell(): """ Feature: Custom cell bprop Description: Get the gradients of inputs when the forward net using Parameter in the sub-cell. Expectation: Get the correct gradients. """ class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.net = Net1() def construct(self, x, y): return self.net(x, y) class Net1(nn.Cell): def __init__(self): super(Net1, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net def construct(self, x, y): grad_f = grad_all(self.net) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) assert np.allclose(out[0].asnumpy(), expect_dx) assert np.allclose(out[1].asnumpy(), expect_dy) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_forward_with_parameter_in_sub_cell_get_by_list(): """ Feature: Custom cell bprop Description: Get the gradients of inputs and Parameters when the forward net using Parameter in the sub-cell. Expectation: Get the correct gradients. """ class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.net = Net1() def construct(self, x, y): return self.net(x, y) class Net1(nn.Cell): def __init__(self): super(Net1, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net self.params = ParameterTuple(net.trainable_params()) self.grad_op = C.GradOperation(get_by_list=True, get_all=True) def construct(self, x, y): grad_f = self.grad_op(self.net, self.params) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) expect_dz = np.array([0.0]).astype(np.float32) assert np.allclose(out[0][0].asnumpy(), expect_dx) assert np.allclose(out[0][1].asnumpy(), expect_dy) assert np.allclose(out[1][0].asnumpy(), expect_dz) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_pynative_forward_with_parameter(): """ Feature: Custom cell bprop Description: Get the gradients of inputs when the forward net using Parameter. Expectation: Get the correct gradients. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net def construct(self, x, y): grad_f = grad_all(self.net) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) assert np.allclose(out[0].asnumpy(), expect_dx) assert np.allclose(out[1].asnumpy(), expect_dy) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_pynative_forward_with_parameter_in_sub_cell(): """ Feature: Custom cell bprop Description: Get the gradients of inputs when the forward net using Parameter in the sub-cell. Expectation: Get the correct gradients. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.net = Net1() def construct(self, x, y): return self.net(x, y) class Net1(nn.Cell): def __init__(self): super(Net1, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net def construct(self, x, y): grad_f = grad_all(self.net) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) assert np.allclose(out[0].asnumpy(), expect_dx) assert np.allclose(out[1].asnumpy(), expect_dy) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_pynative_forward_with_parameter_in_sub_cell_get_by_list(): """ Feature: Custom cell bprop Description: Get the gradients of inputs and Parameters when the forward net using Parameter in the sub-cell. Expectation: Get the correct gradients. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.net = Net1() def construct(self, x, y): return self.net(x, y) class Net1(nn.Cell): def __init__(self): super(Net1, self).__init__() self.matmul = P.MatMul() self.z = Parameter(Tensor(np.array([1.0], np.float32)), name='z') def construct(self, x, y): x = x * self.z out = self.matmul(x, y) return out def bprop(self, x, y, out, dout): dx = x + x dy = y + y return dx, dy class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net self.params = ParameterTuple(net.trainable_params()) self.grad_op = C.GradOperation(get_by_list=True, get_all=True) def construct(self, x, y): grad_f = self.grad_op(self.net, self.params) return grad_f(x, y) x = Tensor([[0.5, 0.6, 0.4], [1.2, 1.3, 1.1]], dtype=mstype.float32) y = Tensor([[0.01, 0.3, 1.1], [0.1, 0.2, 1.3], [2.1, 1.2, 3.3]], dtype=mstype.float32) out = GradNet(Net())(x, y) expect_dx = np.array([[1.0, 1.2, 0.8], [2.4, 2.6, 2.2]]).astype(np.float32) expect_dy = np.array([[0.02, 0.6, 2.2], [0.2, 0.4, 2.6], [4.2, 2.4, 6.6]]).astype(np.float32) expect_dz = np.array([0.0]).astype(np.float32) assert np.allclose(out[0][0].asnumpy(), expect_dx) assert np.allclose(out[0][1].asnumpy(), expect_dy) assert np.allclose(out[1][0].asnumpy(), expect_dz)

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Python

tests/test_validator_plist.py

source-foundry/ufolint

88c744d7f8d45c62701c58f1a028f0283670571f

[ "MIT" ]

22

2017-08-07T13:58:28.000Z

2021-11-21T17:01:01.000Z

tests/test_validator_plist.py

source-foundry/ufolint

88c744d7f8d45c62701c58f1a028f0283670571f

[ "MIT" ]

119

2017-08-03T14:08:02.000Z

2022-03-23T06:04:33.000Z

tests/test_validator_plist.py

source-foundry/ufolint

88c744d7f8d45c62701c58f1a028f0283670571f

[ "MIT" ]

4

2017-08-08T12:20:58.000Z

2020-11-25T14:38:27.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import os import pytest from ufolint.validators import plistvalidators from ufolint.data.ufo import Ufo2, Ufo3 # /////////////////////////////////////////////////////// # # CONSTANTS # # /////////////////////////////////////////////////////// ufo2_dir_list = [['public.default', 'glyphs']] ufo3_dir_list = [['public.default', 'glyphs'], ['glyphs.background', 'glyphs.public.background']] ufo2_test_success_path = os.path.join('tests', 'testfiles', 'ufo', 'passes', 'UFO2-Pass.ufo') ufo3_test_success_path = os.path.join('tests', 'testfiles', 'ufo', 'passes', 'UFO3-Pass.ufo') metainfo_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'metainfoPL') fontinfo_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'fontinfoPL') groups_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'groupsPL') kerning_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'kerningPL') lib_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'libPL') contents_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'contentsPL') layercontents_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'layercontentsPL') layerinfo_test_dir_failpath = os.path.join('tests', 'testfiles', 'ufo', 'fails', 'layerinfoPL') # /////////////////////////////////////////////////////// # # Abstract plist validator super class tests # # /////////////////////////////////////////////////////// def test_validators_plist_abstractplist_ufo2_instantiation(): abvalid = plistvalidators.AbstractPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) assert abvalid.ufopath == ufo2_test_success_path assert abvalid.ufoversion == 2 assert abvalid.glyphs_dir_list == ufo2_dir_list assert abvalid.testfile is None assert isinstance(abvalid.ufoobj, Ufo2) assert abvalid.test_fail_list == [] def test_validators_plist_abstractplist_ufo3_instantiation(): abvalid = plistvalidators.AbstractPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) assert abvalid.ufopath == ufo3_test_success_path assert abvalid.ufoversion == 3 assert abvalid.glyphs_dir_list == ufo3_dir_list assert abvalid.testfile is None assert isinstance(abvalid.ufoobj, Ufo3) assert abvalid.test_fail_list == [] def test_validators_plist_abstractplist_ufo3_unimplemented_ufolib_import_method(): with pytest.raises(NotImplementedError): abvalid = plistvalidators.AbstractPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) abvalid.run_ufolib_import_validation() # /////////////////////////////////////////////////////// # # metainfo.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_metainfo_successful_xml_ufolib_tests(): meta_validator = plistvalidators.MetainfoPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_test_fails = meta_validator.run_xml_validation() ufolib_test_fails = meta_validator.run_ufolib_import_validation() assert isinstance(xml_test_fails, list) assert isinstance(ufolib_test_fails, list) assert len(xml_test_fails) == 0 assert len(ufolib_test_fails) == 0 def test_validators_plist_ufo3_metainfo_successful_xml_ufolib_tests(): meta_validator = plistvalidators.MetainfoPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_test_fails = meta_validator.run_xml_validation() ufolib_test_fails = meta_validator.run_ufolib_import_validation() assert isinstance(xml_test_fails, list) assert isinstance(ufolib_test_fails, list) assert len(xml_test_fails) == 0 assert len(ufolib_test_fails) == 0 # Fail tests def test_validators_plist_ufo2_metainfo_missing_file_fail(capsys): meta_missingfile_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO2-MissingMeta.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_missingfile_ufo_path, 2, ufo2_dir_list) meta_validator.run_xml_validation() # should not raise SystemExit with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_ufolib_import_validation() assert len(fail_list) == 0 out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO2-MissingMeta.ufo' in out assert 'metainfo.plist' in out def test_validators_plist_ufo3_metainfo_missing_file_fail(capsys): meta_missingfile_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO3-MissingMeta.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_missingfile_ufo_path, 3, ufo3_dir_list) meta_validator.run_xml_validation() # should not raise SystemExit with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_ufolib_import_validation() assert len(fail_list) == 0 out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-MissingMeta.ufo' in out assert 'metainfo.plist' in out def test_validators_plist_ufo2_metainfo_xml_fail(capsys): meta_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO2-XMLmeta.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_ufo_path, 2, ufo2_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_xml_validation() assert len(fail_list) == 1 assert 'metainfo.plist failed XML validation' in fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO2-XMLmeta.ufo' in out assert 'metainfo.plist' in out def test_validators_plist_ufo3_metainfo_xml_fail(capsys): meta_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO3-XMLmeta.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_xml_validation() assert len(fail_list) == 1 assert 'metainfo.plist failed XML validation' in fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-XMLmeta.ufo' in out assert 'metainfo.plist' in out def test_validators_plist_ufo2_metainfo_version_fail(capsys): meta_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO2-VersionFail.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_ufo_path, 2, ufo2_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_ufolib_import_validation() out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'metainfo.plist' in out def test_validators_plist_ufo3_metainfo_version_fail(capsys): meta_ufo_path = os.path.join(metainfo_test_dir_failpath, 'UFO3-VersionFail.ufo') meta_validator = plistvalidators.MetainfoPlistValidator(meta_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = meta_validator.run_ufolib_import_validation() out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'metainfo.plist' in out # /////////////////////////////////////////////////////// # # fontinfo.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_fontinfo_success(): fontinfo_validator = plistvalidators.FontinfoPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = fontinfo_validator.run_xml_validation() ufolib_fail_list = fontinfo_validator.run_ufolib_import_validation() assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_fontinfo_success(): fontinfo_validator = plistvalidators.FontinfoPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = fontinfo_validator.run_xml_validation() ufolib_fail_list = fontinfo_validator.run_ufolib_import_validation() assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_fontinfo_missing_file_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO2-MissingFI.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 2, ufo2_dir_list) xml_fail_list = fontinfo_validator.run_xml_validation() ufolib_fail_list = fontinfo_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_fontinfo_missing_file_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO3-MissingFI.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 3, ufo3_dir_list) xml_fail_list = fontinfo_validator.run_xml_validation() ufolib_fail_list = fontinfo_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo2_fontinfo_xml_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO2-XMLfi.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 2, ufo2_dir_list) fail_list = fontinfo_validator.run_xml_validation() assert len(fail_list) == 1 assert 'fontinfo.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_fontinfo_xml_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO3-XMLfi.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 3, ufo3_dir_list) fail_list = fontinfo_validator.run_xml_validation() assert len(fail_list) == 1 assert 'fontinfo.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo2_fontinfo_ufolib_import_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO2-UFOlibError.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 2, ufo2_dir_list) fail_list = fontinfo_validator.run_ufolib_import_validation() assert len(fail_list) == 1 assert 'fontinfo.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_fontinfo_ufolib_import_fail(capsys): fontinfo_ufo_path = os.path.join(fontinfo_test_dir_failpath, 'UFO3-UFOlibError.ufo') fontinfo_validator = plistvalidators.FontinfoPlistValidator(fontinfo_ufo_path, 3, ufo3_dir_list) fail_list = fontinfo_validator.run_ufolib_import_validation() assert len(fail_list) == 1 assert 'fontinfo.plist' in fail_list[0].test_long_stdstream_string # /////////////////////////////////////////////////////// # # groups.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_groups_success(): groups_validator = plistvalidators.GroupsPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = groups_validator.run_xml_validation() ufolib_fail_list = groups_validator.run_ufolib_import_validation() assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_groups_success(): groups_validator = plistvalidators.GroupsPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = groups_validator.run_xml_validation() ufolib_fail_list = groups_validator.run_ufolib_import_validation() assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_groups_missing_file_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO2-MissingGroups.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 2, ufo2_dir_list) xml_fail_list = groups_validator.run_xml_validation() ufolib_fail_list = groups_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_groups_missing_file_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO3-MissingGroups.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 3, ufo3_dir_list) xml_fail_list = groups_validator.run_xml_validation() ufolib_fail_list = groups_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo2_groups_xml_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO2-XMLgr.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 2, ufo2_dir_list) fail_list = groups_validator.run_xml_validation() assert len(fail_list) == 1 assert 'groups.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_groups_xml_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO3-XMLgr.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 3, ufo3_dir_list) fail_list = groups_validator.run_xml_validation() assert len(fail_list) == 1 assert 'groups.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo2_groups_ufo_import_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO2-UFOlibError.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 2, ufo2_dir_list) fail_list = groups_validator.run_ufolib_import_validation() assert len(fail_list) == 1 assert 'groups.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_groups_ufo_import_fail(): groups_ufo_path = os.path.join(groups_test_dir_failpath, 'UFO3-UFOlibError.ufo') groups_validator = plistvalidators.GroupsPlistValidator(groups_ufo_path, 3, ufo3_dir_list) fail_list = groups_validator.run_ufolib_import_validation() assert len(fail_list) == 1 assert 'groups.plist' in fail_list[0].test_long_stdstream_string # /////////////////////////////////////////////////////// # # kerning.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_kerning_success(): kerning_validator = plistvalidators.KerningPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = kerning_validator.run_xml_validation() ufolib_fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_kerning_success(): kerning_validator = plistvalidators.KerningPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = kerning_validator.run_xml_validation() ufolib_fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_kerning_missing_file_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO2-MissingKern.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 2, ufo2_dir_list) xml_fail_list = kerning_validator.run_xml_validation() ufolib_fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_kerning_missing_file_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO3-MissingKern.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 3, ufo3_dir_list) xml_fail_list = kerning_validator.run_xml_validation() ufolib_fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo2_kerning_xml_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO2-XMLkern.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 2, ufo2_dir_list) xml_fail_list = kerning_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 assert 'kerning.plist' in xml_fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_kerning_xml_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO3-XMLkern.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 3, ufo3_dir_list) xml_fail_list = kerning_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 assert 'kerning.plist' in xml_fail_list[0].test_long_stdstream_string def test_validators_plist_ufo2_kerning_ufo_import_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO2-UFOlibError.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 2, ufo2_dir_list) fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'kerning.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_kerning_ufo_import_fail(): kerning_ufo_path = os.path.join(kerning_test_dir_failpath, 'UFO3-UFOlibError.ufo') kerning_validator = plistvalidators.KerningPlistValidator(kerning_ufo_path, 3, ufo3_dir_list) fail_list = kerning_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'kerning.plist' in fail_list[0].test_long_stdstream_string # /////////////////////////////////////////////////////// # # lib.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_lib_success(): lib_validator = plistvalidators.LibPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_lib_success(): lib_validator = plistvalidators.LibPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_lib_missing_file_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO2-MissingLib.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 2, ufo2_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_lib_missing_file_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO3-MissingLib.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 3, ufo3_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo2_lib_xml_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO2-XMLlib.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 2, ufo2_dir_list) fail_list = lib_validator.run_xml_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'lib.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_lib_xml_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO3-XMLlib.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 3, ufo3_dir_list) fail_list = lib_validator.run_xml_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'lib.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo2_lib_ufolib_import_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO2-UFOlibError.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 2, ufo2_dir_list) fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'lib.plist' in fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_lib_ufolib_import_fail(): lib_ufo_path = os.path.join(lib_test_dir_failpath, 'UFO3-UFOlibError.ufo') lib_validator = plistvalidators.LibPlistValidator(lib_ufo_path, 3, ufo3_dir_list) fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'lib.plist' in fail_list[0].test_long_stdstream_string # /////////////////////////////////////////////////////// # # contents.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_contents_success(): lib_validator = plistvalidators.ContentsPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_contents_success(): lib_validator = plistvalidators.ContentsPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = lib_validator.run_xml_validation() ufolib_fail_list = lib_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_contents_missing_file_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO2-MissingCont.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 2, ufo2_dir_list) xml_fail_list = contents_validator.run_xml_validation() with pytest.raises(SystemExit) as pytest_wrapped_e: contents_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 out, _ = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'contents.plist is missing.' in out def test_validators_plist_ufo3_contents_missing_file_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO3-MissingCont.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 3, ufo3_dir_list) xml_fail_list = contents_validator.run_xml_validation() with pytest.raises(SystemExit) as pytest_wrapped_e: contents_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 out, _ = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'contents.plist is missing.' in out def test_validators_plist_ufo3_contents_missing_file_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO3-UnlistedGlifs.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: contents_validator.run_ufolib_import_validation() out, _ = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'rogue files not listed in contents.plist: a.001.glif' in out def test_validators_plist_ufo2_contents_xml_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO2-XMLcont.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 2, ufo2_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: xml_fail_list = contents_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 assert 'contents.plist' in xml_fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO2-XMLcont.ufo' in out assert 'contents.plist' in out def test_validators_plist_ufo3_contents_xml_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO3-XMLcont.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: xml_fail_list = contents_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 assert 'contents.plist' in xml_fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-XMLcont.ufo' in out assert 'contents.plist' in out def test_validators_plist_ufo2_contents_ufolib_import_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO2-UFOlibError.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 2, ufo2_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = contents_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'contents.plist' in fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO2-UFOlibError.ufo' in out assert 'contents.plist' in out def test_validators_plist_ufo3_contents_ufolib_import_fail(capsys): contents_ufo_path = os.path.join(contents_test_dir_failpath, 'UFO3-UFOlibError.ufo') contents_validator = plistvalidators.ContentsPlistValidator(contents_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = contents_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'contents.plist' in fail_list[0].test_long_stdstream_string out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-UFOlibError.ufo' in out assert 'contents.plist' in out # /////////////////////////////////////////////////////// # # layercontents.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_layercontents_success(): """ Not part of the UFO v2 spec so should not fail without the file in the source directory """ lc_validator = plistvalidators.LayercontentsPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = lc_validator.run_xml_validation() ufolib_fail_list = lc_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_layercontents_success(): """ UFO 3+ spec only :return: """ lc_validator = plistvalidators.LayercontentsPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = lc_validator.run_xml_validation() ufolib_fail_list = lc_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo2_layercontents_missing_file_fail(): """ Not part of UFO v2 spec should not fail on missing file """ lc_ufo_path = os.path.join(layercontents_test_dir_failpath, 'UFO2-MissingLC.ufo') lc_validator = plistvalidators.LayercontentsPlistValidator(lc_ufo_path, 2, ufo2_dir_list) xml_fail_list = lc_validator.run_xml_validation() ufolib_fail_list = lc_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_layercontents_missing_file_fail(): """ UFO v3+ spec only. Does not fail here for missing file, missing mandatory file check is performed in runner.py module """ lc_ufo_path = os.path.join(layercontents_test_dir_failpath, 'UFO3-MissingLC.ufo') lc_validator = plistvalidators.LayercontentsPlistValidator(lc_ufo_path, 3, ufo3_dir_list) xml_fail_list = lc_validator.run_xml_validation() ufolib_fail_list = lc_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_layercontents_xml_fail(capsys): lc_ufo_path = os.path.join(layercontents_test_dir_failpath, 'UFO3-XMLlc.ufo') lc_validator = plistvalidators.LayercontentsPlistValidator(lc_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: xml_fail_list = lc_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-XMLlc.ufo' in out assert 'layercontents.plist' in out def test_validators_plist_ufo3_layercontents_ufolib_import_fail(capsys): lc_ufo_path = os.path.join(layercontents_test_dir_failpath, 'UFO3-UFOlibError.ufo') lc_validator = plistvalidators.LayercontentsPlistValidator(lc_ufo_path, 3, ufo3_dir_list) with pytest.raises(SystemExit) as pytest_wrapped_e: fail_list = lc_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 out, err = capsys.readouterr() assert pytest_wrapped_e.type == SystemExit assert pytest_wrapped_e.value.code == 1 assert 'UFO3-UFOlibError.ufo' in out assert 'layercontents.plist' in out # /////////////////////////////////////////////////////// # # layerinfo.plist validator tests # # /////////////////////////////////////////////////////// # Success tests def test_validators_plist_ufo2_layerinfo_success(): """ file is missing from UFO2 test directory. Should not fail, not part of UFO2 spec """ li_validator = plistvalidators.LayerinfoPlistValidator(ufo2_test_success_path, 2, ufo2_dir_list) xml_fail_list = li_validator.run_xml_validation() ufolib_fail_list = li_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_layerinfo_success(): li_validator = plistvalidators.LayerinfoPlistValidator(ufo3_test_success_path, 3, ufo3_dir_list) xml_fail_list = li_validator.run_xml_validation() ufolib_fail_list = li_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 # Fail tests def test_validators_plist_ufo3_layerinfo_missing_file_fail(): li_ufo_path = os.path.join(layerinfo_test_dir_failpath, 'UFO3-MissingLI.ufo') li_validator = plistvalidators.LayerinfoPlistValidator(li_ufo_path, 3, ufo3_dir_list) xml_fail_list = li_validator.run_xml_validation() ufolib_fail_list = li_validator.run_ufolib_import_validation() assert isinstance(xml_fail_list, list) assert isinstance(ufolib_fail_list, list) assert len(xml_fail_list) == 0 assert len(ufolib_fail_list) == 0 def test_validators_plist_ufo3_layerinfo_xml_fail(): li_ufo_path = os.path.join(layerinfo_test_dir_failpath, 'UFO3-XMLli.ufo') li_validator = plistvalidators.LayerinfoPlistValidator(li_ufo_path, 3, ufo3_dir_list) xml_fail_list = li_validator.run_xml_validation() assert isinstance(xml_fail_list, list) assert len(xml_fail_list) == 1 assert 'layerinfo.plist' in xml_fail_list[0].test_long_stdstream_string def test_validators_plist_ufo3_layerinfo_ufolib_import_fail(): li_ufo_path = os.path.join(layerinfo_test_dir_failpath, 'UFO3-UFOLibError.ufo') li_validator = plistvalidators.LayerinfoPlistValidator(li_ufo_path, 3, ufo3_dir_list) fail_list = li_validator.run_ufolib_import_validation() assert isinstance(fail_list, list) assert len(fail_list) == 1 assert 'layerinfo.plist' in fail_list[0].test_long_stdstream_string

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14f13ad58623a4f81601cf098e0c300b2bd40fcc

7,429

py

Python

tests/test_widgets.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

null

tests/test_widgets.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

35

2020-06-07T12:40:43.000Z

2021-06-03T19:56:01.000Z

tests/test_widgets.py

zztin/ctimer

a0721bb9791b23305ee4ff4a2eb30a1f4d8c80cc

[ "Apache-2.0" ]

1

2020-06-04T05:31:03.000Z

"""Tests for `model` module of `ctimer` package.""" import pytest import tkinter as tk from unittest.mock import MagicMock from unittest.mock import patch from ctimer import utils from ctimer import ctimer_db as db from ctimer.controller import CtimerClockController from ctimer.view import CtimerClockView from ctimer.model import CtimerClockModel import os @pytest.fixture def controller(): print("Setup debugging-controller for testing.") db_path_debug = utils.get_cache_filepath(None, debug=True) # create a new empty db file. if os.path.exists(f"{db_path_debug}/ctimer_debug_temp.db"): os.remove(f"{db_path_debug}/ctimer_debug_temp.db") db_file_debug = f"{db_path_debug}/ctimer_debug_temp.db" db.create_connection(db_file_debug) current_clock_details = db.Clock_details(db_file_debug) tk_root = tk.Tk() tk_root.wait_visibility() ccc = CtimerClockController( db_file_debug, current_clock_details, False, True, True, None, tk_root ) yield ccc print("Teardown the debugging-controller for testing...") ccc.master.destroy() print("Teardown the debugging-controller for testing. Done.") def test_init(controller): tv = controller.tv tm = controller.tm assert type(tv) is CtimerClockView assert type(tm) is CtimerClockModel assert tm.clock_details.reached_bool == False assert tm.clock_details.reason == "N.A." def test_click_start_reached_one_clock(controller): expected_goal_string = "test_click_start fake goal for testing" tv = controller.tv tm = controller.tm assert not controller.tm.clock_ticking with \ patch('ctimer.view.simpledialog.askstring', MagicMock(return_value=expected_goal_string)), \ patch('ctimer.view.CtimerClockView.ask_reached_goal_reason', MagicMock(return_value=(True, "Fake reached reason"))): assert tm.clock_details.clock_count == 0 tv._button_start_pause.invoke() controller.master.update() assert tm.remaining_time > 1 one_clock_time = tm.remaining_time assert tm.clock_details.task_description == expected_goal_string assert controller.tm.clock_ticking for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() assert tm.clock_details.reached_bool assert tm.clock_details.reason == "Fake reached reason" assert tm.clock_details.clock_count == 1 db_path_debug = utils.get_cache_filepath(None, debug=True) os.remove(f"{db_path_debug}/ctimer_debug_temp.db") def test_click_start_reached_two_clock(controller): expected_goal_string = "test_click_start fake goal for testing" tv = controller.tv tm = controller.tm assert not controller.tm.clock_ticking with \ patch('ctimer.view.simpledialog.askstring', MagicMock(return_value=expected_goal_string)), \ patch('ctimer.view.CtimerClockView.ask_reached_goal_reason', MagicMock(return_value=(True, "Fake reached reason"))): assert tm.clock_details.clock_count == 0 tv._button_start_pause.invoke() controller.master.update() one_clock_time = tm.remaining_time for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() assert tm.clock_details.reached_bool assert tm.clock_details.reason == "Fake reached reason" assert tm.clock_details.clock_count == 1 controller.master.update() # A clock ended, starts break assert tm.clock_ticking for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() # Break ends, stop ticking assert not tm.clock_ticking assert tm.clock_details.clock_count == 1 tv._button_start_pause.invoke() controller.master.update() one_clock_time = tm.remaining_time for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() assert tm.clock_details.clock_count == 2 # THis should be moved to test_model def test_is_complete(controller): expected_goal_string = "test_click_start fake goal for testing" tv = controller.tv tm = controller.tm assert not controller.tm.clock_ticking with \ patch('ctimer.view.simpledialog.askstring', MagicMock(return_value=expected_goal_string)), \ patch('ctimer.view.CtimerClockView.ask_reached_goal_reason', MagicMock(return_value=(True, "Fake reached reason"))): assert tm.clock_details.clock_count == 0 tv._button_start_pause.invoke() controller.master.update() one_clock_time = tm.remaining_time for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() tv._button_start_pause.invoke() tv._button_start_pause.invoke() assert not tm.clock_details.is_complete assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() assert tm.clock_details.reached_bool assert tm.clock_details.reason == "Fake reached reason" assert tm.clock_details.clock_count == 1 controller.master.update() # A clock ended, starts break assert tm.clock_ticking for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() # Break ends, stop ticking assert not tm.clock_ticking assert tm.clock_details.clock_count == 1 tv._button_start_pause.invoke() controller.master.update() one_clock_time = tm.remaining_time for ticking in range(one_clock_time - 1): controller.countdown() controller.master.update() assert tm.remaining_time == 1 controller.countdown() controller.master.update() assert tm.remaining_time == 0 controller.countdown() controller.master.update() assert tm.clock_details.clock_count == 2 assert not tm.clock_details.pause_toggled assert tm.clock_details.is_complete

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091e1531318761e7baa41d74240b9d7f74539b37

10,397

py

Python

src/outdoor_bot/srv/_digcams_service.py

dan-git/outdoor_bot

81bf75e26449f8e4b6a38f4049ca4d4cda7b8c04

[ "BSD-2-Clause" ]

null

src/outdoor_bot/srv/_digcams_service.py

dan-git/outdoor_bot

81bf75e26449f8e4b6a38f4049ca4d4cda7b8c04

[ "BSD-2-Clause" ]

null

src/outdoor_bot/srv/_digcams_service.py

dan-git/outdoor_bot

81bf75e26449f8e4b6a38f4049ca4d4cda7b8c04

[ "BSD-2-Clause" ]

null

"""autogenerated by genpy from outdoor_bot/digcams_serviceRequest.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class digcams_serviceRequest(genpy.Message): _md5sum = "e66469e4a859b3bbec7c3e464d8de5f3" _type = "outdoor_bot/digcams_serviceRequest" _has_header = False #flag to mark the presence of a Header object _full_text = """string command string filename int32 cameraName float32 zoom bool write_file """ __slots__ = ['command','filename','cameraName','zoom','write_file'] _slot_types = ['string','string','int32','float32','bool'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: command,filename,cameraName,zoom,write_file :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(digcams_serviceRequest, self).__init__(*args, **kwds) #message fields cannot be None, assign default values for those that are if self.command is None: self.command = '' if self.filename is None: self.filename = '' if self.cameraName is None: self.cameraName = 0 if self.zoom is None: self.zoom = 0. if self.write_file is None: self.write_file = False else: self.command = '' self.filename = '' self.cameraName = 0 self.zoom = 0. self.write_file = False def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.command length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self.filename length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self buff.write(_struct_ifB.pack(_x.cameraName, _x.zoom, _x.write_file)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.command = str[start:end].decode('utf-8') else: self.command = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.filename = str[start:end].decode('utf-8') else: self.filename = str[start:end] _x = self start = end end += 9 (_x.cameraName, _x.zoom, _x.write_file,) = _struct_ifB.unpack(str[start:end]) self.write_file = bool(self.write_file) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.command length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self.filename length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) if python3: buff.write(struct.pack('<I%sB'%length, length, *_x)) else: buff.write(struct.pack('<I%ss'%length, length, _x)) _x = self buff.write(_struct_ifB.pack(_x.cameraName, _x.zoom, _x.write_file)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.command = str[start:end].decode('utf-8') else: self.command = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.filename = str[start:end].decode('utf-8') else: self.filename = str[start:end] _x = self start = end end += 9 (_x.cameraName, _x.zoom, _x.write_file,) = _struct_ifB.unpack(str[start:end]) self.write_file = bool(self.write_file) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill _struct_I = genpy.struct_I _struct_ifB = struct.Struct("<ifB") """autogenerated by genpy from outdoor_bot/digcams_serviceResponse.msg. Do not edit.""" import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class digcams_serviceResponse(genpy.Message): _md5sum = "6ed4b5a638436ae25b49ac666a6a3877" _type = "outdoor_bot/digcams_serviceResponse" _has_header = False #flag to mark the presence of a Header object _full_text = """int32 captureResult bool zoomResult bool writeFileResult """ __slots__ = ['captureResult','zoomResult','writeFileResult'] _slot_types = ['int32','bool','bool'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: captureResult,zoomResult,writeFileResult :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(digcams_serviceResponse, self).__init__(*args, **kwds) #message fields cannot be None, assign default values for those that are if self.captureResult is None: self.captureResult = 0 if self.zoomResult is None: self.zoomResult = False if self.writeFileResult is None: self.writeFileResult = False else: self.captureResult = 0 self.zoomResult = False self.writeFileResult = False def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_struct_i2B.pack(_x.captureResult, _x.zoomResult, _x.writeFileResult)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ try: end = 0 _x = self start = end end += 6 (_x.captureResult, _x.zoomResult, _x.writeFileResult,) = _struct_i2B.unpack(str[start:end]) self.zoomResult = bool(self.zoomResult) self.writeFileResult = bool(self.writeFileResult) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_struct_i2B.pack(_x.captureResult, _x.zoomResult, _x.writeFileResult)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x)))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ try: end = 0 _x = self start = end end += 6 (_x.captureResult, _x.zoomResult, _x.writeFileResult,) = _struct_i2B.unpack(str[start:end]) self.zoomResult = bool(self.zoomResult) self.writeFileResult = bool(self.writeFileResult) return self except struct.error as e: raise genpy.DeserializationError(e) #most likely buffer underfill _struct_I = genpy.struct_I _struct_i2B = struct.Struct("<i2B") class digcams_service(object): _type = 'outdoor_bot/digcams_service' _md5sum = '40caf086f1c912d66f4fd74977f57548' _request_class = digcams_serviceRequest _response_class = digcams_serviceResponse

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0

1

0

1

0

null

0

8

096376e5c1631c740d9335518b723d665572b974

42,393

py

Python

main_window_ui.py

junglefive/MacAddressCollector

0bf3ce51371ab0f8725c07c7a6c9512cc5ebc90d

[ "MIT" ]

null

main_window_ui.py

junglefive/MacAddressCollector

0bf3ce51371ab0f8725c07c7a6c9512cc5ebc90d

[ "MIT" ]

null

main_window_ui.py

junglefive/MacAddressCollector

0bf3ce51371ab0f8725c07c7a6c9512cc5ebc90d

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'main_window.ui' # # Created by: PyQt5 UI code generator 5.9 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.setEnabled(True) MainWindow.resize(678, 759) sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(MainWindow.sizePolicy().hasHeightForWidth()) MainWindow.setSizePolicy(sizePolicy) MainWindow.setMinimumSize(QtCore.QSize(200, 400)) MainWindow.setMaximumSize(QtCore.QSize(16777215, 16777215)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 245, 244)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 157, 155)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(247, 245, 244)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 245, 244)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 157, 155)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(247, 245, 244)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 245, 244)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 157, 155)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(120, 118, 116)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(240, 236, 233)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipText, brush) MainWindow.setPalette(palette) MainWindow.setTabletTracking(False) MainWindow.setLayoutDirection(QtCore.Qt.LeftToRight) self.centralwidget = QtWidgets.QWidget(MainWindow) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 247, 247)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 160, 160)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(247, 247, 247)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 247, 247)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 160, 160)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(247, 247, 247)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(247, 247, 247)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(160, 160, 160)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(120, 120, 120)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(240, 240, 240)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipText, brush) self.centralwidget.setPalette(palette) self.centralwidget.setObjectName("centralwidget") self.horizontalLayout = QtWidgets.QHBoxLayout(self.centralwidget) self.horizontalLayout.setContentsMargins(-1, -1, -1, 0) self.horizontalLayout.setSpacing(0) self.horizontalLayout.setObjectName("horizontalLayout") self.gridLayout = QtWidgets.QGridLayout() self.gridLayout.setSpacing(0) self.gridLayout.setObjectName("gridLayout") self.tabWidget = QtWidgets.QTabWidget(self.centralwidget) self.tabWidget.setEnabled(True) self.tabWidget.setBaseSize(QtCore.QSize(480, 590)) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(170, 170, 170)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(170, 170, 170)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ToolTipText, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Light, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Midlight, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(170, 170, 170)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.BrightText, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Base, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Window, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Shadow, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.AlternateBase, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 220)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipBase, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ToolTipText, brush) self.tabWidget.setPalette(palette) font = QtGui.QFont() font.setFamily("Microsoft YaHei") self.tabWidget.setFont(font) self.tabWidget.setAutoFillBackground(False) self.tabWidget.setUsesScrollButtons(True) self.tabWidget.setMovable(True) self.tabWidget.setObjectName("tabWidget") self.tab = QtWidgets.QWidget() self.tab.setObjectName("tab") self.gridLayout_3 = QtWidgets.QGridLayout(self.tab) self.gridLayout_3.setObjectName("gridLayout_3") self.btn_export_excle = QtWidgets.QPushButton(self.tab) font = QtGui.QFont() font.setFamily("Microsoft YaHei") font.setPointSize(24) self.btn_export_excle.setFont(font) self.btn_export_excle.setObjectName("btn_export_excle") self.gridLayout_3.addWidget(self.btn_export_excle, 4, 0, 1, 1) self.btn_save_log = QtWidgets.QPushButton(self.tab) font = QtGui.QFont() font.setPointSize(24) self.btn_save_log.setFont(font) self.btn_save_log.setObjectName("btn_save_log") self.gridLayout_3.addWidget(self.btn_save_log, 1, 0, 1, 1) self.progressBar_xls = QtWidgets.QProgressBar(self.tab) self.progressBar_xls.setProperty("value", 0) self.progressBar_xls.setObjectName("progressBar_xls") self.gridLayout_3.addWidget(self.progressBar_xls, 3, 0, 1, 1) self.horizontalLayout_3 = QtWidgets.QHBoxLayout() self.horizontalLayout_3.setObjectName("horizontalLayout_3") self.btn_change_voice = QtWidgets.QPushButton(self.tab) self.btn_change_voice.setEnabled(False) self.btn_change_voice.setObjectName("btn_change_voice") self.horizontalLayout_3.addWidget(self.btn_change_voice) self.btn_close_voice = QtWidgets.QPushButton(self.tab) self.btn_close_voice.setEnabled(False) self.btn_close_voice.setObjectName("btn_close_voice") self.horizontalLayout_3.addWidget(self.btn_close_voice) self.gridLayout_3.addLayout(self.horizontalLayout_3, 2, 0, 1, 1) self.tabWidget.addTab(self.tab, "") self.tab_watching = QtWidgets.QWidget() self.tab_watching.setObjectName("tab_watching") self.gridLayout_2 = QtWidgets.QGridLayout(self.tab_watching) self.gridLayout_2.setObjectName("gridLayout_2") self.label = QtWidgets.QLabel(self.tab_watching) font = QtGui.QFont() font.setFamily("Microsoft YaHei") self.label.setFont(font) self.label.setText("") self.label.setObjectName("label") self.gridLayout_2.addWidget(self.label, 0, 1, 1, 1) self.verticalLayout = QtWidgets.QVBoxLayout() self.verticalLayout.setContentsMargins(-1, -1, -1, 20) self.verticalLayout.setObjectName("verticalLayout") self.horizontalLayout_2 = QtWidgets.QHBoxLayout() self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.textEdit_currentNum = QtWidgets.QTextEdit(self.tab_watching) font = QtGui.QFont() font.setFamily("Microsoft YaHei") self.textEdit_currentNum.setFont(font) self.textEdit_currentNum.setReadOnly(True) self.textEdit_currentNum.setObjectName("textEdit_currentNum") self.horizontalLayout_2.addWidget(self.textEdit_currentNum) self.horizontalLayout_2.setStretch(0, 2) self.verticalLayout.addLayout(self.horizontalLayout_2) self.btn_get_name = QtWidgets.QPushButton(self.tab_watching) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(0, 85, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(107, 78, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(0, 170, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(0, 85, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(107, 78, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(0, 170, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(0, 0, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.ButtonText, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush) brush = QtGui.QBrush(QtGui.QColor(107, 78, 255)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Dark, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(49, 48, 54)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.btn_get_name.setPalette(palette) font = QtGui.QFont() font.setPointSize(28) self.btn_get_name.setFont(font) self.btn_get_name.setObjectName("btn_get_name") self.verticalLayout.addWidget(self.btn_get_name) self.plainText_display = QtWidgets.QPlainTextEdit(self.tab_watching) palette = QtGui.QPalette() brush = QtGui.QBrush(QtGui.QColor(58, 255, 81)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(85, 85, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(58, 255, 81)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(85, 85, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush) brush = QtGui.QBrush(QtGui.QColor(58, 255, 81)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Button, brush) brush = QtGui.QBrush(QtGui.QColor(255, 255, 0)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Mid, brush) brush = QtGui.QBrush(QtGui.QColor(127, 127, 127)) brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush) self.plainText_display.setPalette(palette) font = QtGui.QFont() font.setFamily("Microsoft YaHei") font.setPointSize(12) font.setStyleStrategy(QtGui.QFont.PreferAntialias) self.plainText_display.setFont(font) self.plainText_display.setUndoRedoEnabled(False) self.plainText_display.setReadOnly(True) self.plainText_display.setBackgroundVisible(True) self.plainText_display.setObjectName("plainText_display") self.verticalLayout.addWidget(self.plainText_display) self.verticalLayout.setStretch(0, 3) self.verticalLayout.setStretch(2, 3) self.gridLayout_2.addLayout(self.verticalLayout, 1, 0, 1, 1) self.tabWidget.addTab(self.tab_watching, "") self.tab_help = QtWidgets.QWidget() self.tab_help.setObjectName("tab_help") self.gridLayout_5 = QtWidgets.QGridLayout(self.tab_help) self.gridLayout_5.setObjectName("gridLayout_5") self.textBrowser_help = QtWidgets.QTextBrowser(self.tab_help) self.textBrowser_help.setObjectName("textBrowser_help") self.gridLayout_5.addWidget(self.textBrowser_help, 0, 0, 1, 1) self.tabWidget.addTab(self.tab_help, "") self.gridLayout.addWidget(self.tabWidget, 0, 0, 1, 1) self.horizontalLayout.addLayout(self.gridLayout) MainWindow.setCentralWidget(self.centralwidget) self.actionVersion = QtWidgets.QAction(MainWindow) self.actionVersion.setObjectName("actionVersion") self.actionAbout = QtWidgets.QAction(MainWindow) self.actionAbout.setObjectName("actionAbout") self.actionClose = QtWidgets.QAction(MainWindow) self.actionClose.setObjectName("actionClose") self.actionautoDetect = QtWidgets.QAction(MainWindow) self.actionautoDetect.setCheckable(False) self.actionautoDetect.setObjectName("actionautoDetect") self.retranslateUi(MainWindow) self.tabWidget.setCurrentIndex(1) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "MAC地址搜集器")) self.btn_export_excle.setText(_translate("MainWindow", "导出excle")) self.btn_save_log.setText(_translate("MainWindow", "重新开始计数")) self.btn_change_voice.setText(_translate("MainWindow", "切换声音模式")) self.btn_close_voice.setText(_translate("MainWindow", "点击关闭声音")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab), _translate("MainWindow", "操作")) self.textEdit_currentNum.setHtml(_translate("MainWindow", "<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n" "<html><head><meta name=\"qrichtext\" content=\"1\" /><style type=\"text/css\">\n" "p, li { white-space: pre-wrap; }\n" "</style></head><body style=\" font-family:\'Microsoft YaHei\'; font-size:9pt; font-weight:400; font-style:normal;\">\n" " \n" " \n" " \n" " \n" "0</body></html>")) self.btn_get_name.setText(_translate("MainWindow", "点击自动识别串口")) self.plainText_display.setPlainText(_translate("MainWindow", "等待中......")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_watching), _translate("MainWindow", "测试")) self.textBrowser_help.setHtml(_translate("MainWindow", "<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n" "<html><head><meta name=\"qrichtext\" content=\"1\" /><style type=\"text/css\">\n" "p, li { white-space: pre-wrap; }\n" "</style></head><body style=\" font-family:\'Microsoft YaHei\'; font-size:9pt; font-weight:400; font-style:normal;\">\n" "帮助文档\n" " \n" "1. 先用USB连接好测试架，确保测试架连接成功。\n" "2. 点击[测试]进入测试模式，自动识别测试架串口。如中途连接中断，则点击按键[点击自动识别串口]即可再次识别。\n" " \n" "3. 点击[操作]可导出当前测试数据为[.csv]格式。\n" " \n" "4. 点击[重新开始计数], 会删除当前已经测试的数据，请保证已经导出Excle再进行此操作。\n" " </body></html>")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_help), _translate("MainWindow", "帮助")) self.actionVersion.setText(_translate("MainWindow", "版本号")) self.actionAbout.setText(_translate("MainWindow", "关于")) self.actionAbout.setIconText(_translate("MainWindow", "关于")) self.actionClose.setText(_translate("MainWindow", "关闭")) self.actionautoDetect.setText(_translate("MainWindow", "自动配置串口"))

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py

Python

tests/test_size.py

Club-Alpin-Annecy/Flask-Images

5c0d4028d3e6e04769ab7bb68258c02cd4769406

[ "BSD-3-Clause" ]

75

2015-01-07T20:25:53.000Z

2021-11-01T17:49:00.000Z

tests/test_size.py

Club-Alpin-Annecy/Flask-Images

5c0d4028d3e6e04769ab7bb68258c02cd4769406

[ "BSD-3-Clause" ]

30

2015-01-07T19:57:58.000Z

2021-08-31T09:14:33.000Z

tests/test_size.py

Club-Alpin-Annecy/Flask-Images

5c0d4028d3e6e04769ab7bb68258c02cd4769406

[ "BSD-3-Clause" ]

46

2015-01-14T03:09:03.000Z

2022-02-01T20:18:50.000Z

from . import * def make_transform(width=100, height=100): return ['EXTENT', width, height, 0, 0, 100, 100] class TestImageSize(TestCase): def test_reshape(self): s = ImageSize(transform=make_transform(), width=50) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 50) self.assertEqual(s.height, 50) s = ImageSize(transform=make_transform(), width=200, enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 200) self.assertEqual(s.height, 200) s = ImageSize(transform=make_transform(), width=200, enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 100) self.assertEqual(s.height, 100) s = ImageSize(transform=make_transform(), height=50) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 50) self.assertEqual(s.height, 50) s = ImageSize(transform=make_transform(), height=200, enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 200) self.assertEqual(s.height, 200) s = ImageSize(transform=make_transform(), height=200, enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 100) self.assertEqual(s.height, 100) def test_crop_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='crop', enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 200) self.assertEqual(s.op_height, 200) # One needs enlarging. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='crop', enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 400) self.assertEqual(s.op_height, 200) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='crop', enlarge=True) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 200) self.assertEqual(s.op_height, 200) def test_crop_no_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='crop', enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 100) self.assertEqual(s.height, 100) self.assertEqual(s.op_width, 100) self.assertEqual(s.op_height, 100) # One needs enlarging. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='crop', enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 100) # <-- self.assertEqual(s.op_width, 200) self.assertEqual(s.op_height, 100) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='crop', enlarge=False) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 200) self.assertEqual(s.op_height, 200) def test_fit_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='fit', enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 150) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150) # One is big enough. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='fit', enlarge=True) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 75) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 75) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='fit', enlarge=True) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 150) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150) def test_fit_no_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='fit', enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 100) self.assertEqual(s.height, 100) self.assertEqual(s.op_width, 100) self.assertEqual(s.op_height, 100) # One is big enough. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='fit', enlarge=False) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 75) # <-- self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 75) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='fit', enlarge=False) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 150) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150) def test_pad_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='pad', enlarge=True) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150) # One is big enough. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='pad', enlarge=True) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 75) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='pad', enlarge=True) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150) def test_pad_no_enlarge(self): # Both need enlarging. s = ImageSize(transform=make_transform(), width=150, height=200, mode='pad', enlarge=False) self.assertTrue(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 100) self.assertEqual(s.op_height, 100) # One is big enough. s = ImageSize(transform=make_transform(200, 100), width=150, height=200, mode='pad', enlarge=False) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) # <-- self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 75) # Neither need enlarging. s = ImageSize(transform=make_transform(400, 400), width=150, height=200, mode='pad', enlarge=False) self.assertFalse(s.needs_enlarge) self.assertEqual(s.width, 150) self.assertEqual(s.height, 200) self.assertEqual(s.op_width, 150) self.assertEqual(s.op_height, 150)

38.452736

108

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999

7,729

4.928929

0.045045

0.25589

0.272949

0.1316

0.971162

0.949838

0.94537

0

0.075497

0.225385

7,729

200

109

38.645

0.746952

0.051624

0

0.748252

0

0.009035

0

0.755245

1

0.055944

false

0

0.006993

0.076923

0

null

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0

1

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0

10

01205f82faa55eecc95322b862f5fdcb62830367

8,089

py

Python

tests/test_random_train_test_split.py

georgymh/decentralized-ml

117f998657a0a22c5c865814551082a40da00596

[ "Apache-2.0" ]

11

2018-09-04T04:36:33.000Z

2021-07-14T13:11:35.000Z

tests/test_random_train_test_split.py

georgymh/decentralized-ml

117f998657a0a22c5c865814551082a40da00596

[ "Apache-2.0" ]

30

2018-07-12T16:44:21.000Z

2019-01-23T23:36:59.000Z

tests/test_random_train_test_split.py

georgymh/decentralized-ml

117f998657a0a22c5c865814551082a40da00596

[ "Apache-2.0" ]

4

2018-12-18T17:11:41.000Z

2021-07-14T13:11:42.000Z

import pandas as pd import os import pytest import random from data.iterators import count_datapoints from data.iterators import create_random_test_dataset_iterator from data.iterators import create_random_train_dataset_iterator @pytest.fixture(scope='session') def dataset_path(): return "tests/artifacts/iterators/random" @pytest.fixture(scope='session') def train_dataset_path(): return "tests/artifacts/iterators/random/train.csv" @pytest.fixture(scope='session') def test_dataset_path(): return "tests/artifacts/iterators/random/test.csv" def get_num_columns(dataset_path): """ Helper function to find the number of columns in dataset """ for filename in os.listdir(dataset_path): if not filename.endswith(".csv"): continue full_path = os.path.join(dataset_path, filename) f = open(full_path) return len(list(f)[0].split(',')) def test_train_test_split(dataset_path, train_dataset_path, test_dataset_path): """ Test train-test split works by: 1. Checking the split put the right number of datapoints (proportional to the total number) in the training and test datasets. 2. Checking that datapoints don't overlap between each dataset """ count = count_datapoints(dataset_path) #Set up iterator for training set random_train_iterator = create_random_train_dataset_iterator( train_dataset_path, batch_size=7, labeler='label', infinite=False ) #Set up iterator for test set. random_test_iterator = create_random_test_dataset_iterator( test_dataset_path, batch_size=7, labeler='label', infinite=False ) #Collect "datapoints" for training and test set. In reality, just take the #index so that overlapping points can be detected later. train_data = [] for X,y in random_train_iterator: for datapoint in X: train_data.append(datapoint[-1]) test_data = [] for X,y in random_test_iterator: for datapoint in X: test_data.append(datapoint[-1]) #Check that training set and test set have right number of datapoints assert len(train_data) == 0.8*count assert len(test_data) == 0.2*count #Set up dataframe for join train_df = pd.DataFrame(data={"index": train_data}) test_df = pd.DataFrame(data={"index": test_data}) #Check for no overlapping datapoints assert len(pd.merge(train_df, test_df, on='index').index) == 0 def test_large_batch_size(dataset_path, train_dataset_path, test_dataset_path): """ Same as above, except test with batch_size > count (datapoints) """ count = count_datapoints(dataset_path) batch_size = count * random.randint(1, 5) #Set up iterator for training set random_train_iterator = create_random_train_dataset_iterator( train_dataset_path, batch_size=batch_size, labeler='label', infinite=False ) #Set up iterator for test set. random_test_iterator = create_random_test_dataset_iterator( test_dataset_path, batch_size=batch_size, labeler='label', infinite=False ) #Collect "datapoints" for training and test set. In reality, just take the #index so that overlapping points can be detected later. train_data = [] for X,y in random_train_iterator: for datapoint in X: train_data.append(datapoint[-1]) test_data = [] for X,y in random_test_iterator: for datapoint in X: test_data.append(datapoint[-1]) #Check that training set and test set have right number of datapoints assert len(train_data) == 0.8*count assert len(test_data) == 0.2*count #Set up dataframe for join train_df = pd.DataFrame(data={"index": train_data}) test_df = pd.DataFrame(data={"index": test_data}) #Check for no overlapping datapoints assert len(pd.merge(train_df, test_df, on='index').index) == 0 def test_infinite_works(dataset_path, train_dataset_path, test_dataset_path): """ With infinite=True, test 3 * count iterations to see that data is what we expect. """ count = count_datapoints(dataset_path) #Set up iterator for training set random_train_iterator = create_random_train_dataset_iterator( train_dataset_path, batch_size=4, labeler='label', infinite=True ) #Set up iterator for test set. random_test_iterator = create_random_test_dataset_iterator( test_dataset_path, batch_size=4, labeler='label', infinite=True ) #Collect "datapoints" for training and test set. In reality, just take the #index so that overlapping points can be detected later. limit = 3 * count num_datapoints = 0 train_data = [] for X,y in random_train_iterator: for datapoint in X: train_data.append(datapoint[-1]) num_datapoints += 1 if num_datapoints >= limit * 0.8: break num_datapoints = 0 test_data = [] for X,y in random_test_iterator: for datapoint in X: test_data.append(datapoint[-1]) num_datapoints += 1 if num_datapoints >= limit * 0.2: break #Check that training set and test set have right number of datapoints assert len(train_data) == 0.8*count*3 assert len(test_data) == 0.2*count*3 #Set up dataframe for join train_df = pd.DataFrame(data={"index": train_data}) test_df = pd.DataFrame(data={"index": test_data}) #Check for no overlapping datapoints assert len(pd.merge(train_df, test_df, on='index').index) == 0 def test_invalid_batch_size(dataset_path, train_dataset_path, test_dataset_path): """ Test that assertion fails with invalid batch size. """ count = count_datapoints(dataset_path) #Set up iterator for training set random_train_iterator = create_random_train_dataset_iterator( train_dataset_path, batch_size=-1, labeler='label', infinite=False ) #Set up iterator for test set. random_test_iterator = create_random_test_dataset_iterator( test_dataset_path, batch_size=-1, labeler='label', infinite=False ) #Assertion should fail here. try: train_data = [] for X,y in random_train_iterator: for datapoint in X: train_data.append(datapoint[-1]) assert False,"Assertion for batch size should have failed" except AssertionError as e: assert str(e) == "Invalid batch size provided." def test_invalid_labeler(dataset_path, train_dataset_path, test_dataset_path): """ Test that assertion fails with invalid labeler. """ count = count_datapoints(dataset_path) #Set up iterator for training set random_train_iterator = create_random_train_dataset_iterator( train_dataset_path, batch_size=4, labeler='bad_column', infinite=True ) #Set up iterator for test set. random_test_iterator = create_random_test_dataset_iterator( test_dataset_path, batch_size=4, labeler='bad_column', infinite=True ) #Assertion should fail here. try: train_data = [] for X,y in random_train_iterator: for datapoint in X: train_data.append(datapoint[-1]) assert False,"Assertion for labeler should have failed." except AssertionError as e: assert str(e) == "Labeler is invalid." def test_invalid_dataset_path(): dataset_path = "bad/dataset/path" try: count_datapoints(dataset_path) assert False, "Assertion for dataset path should have failed." except AssertionError as e: assert(str(e) == "Dataset path is invalid.")

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null

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1

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1

0

null

0

7

016c362002bc60f9f082f7e2e1b3e2b285d795c4

103

py

Python

kwat/array/check_not_nan.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-05-05T17:50:28.000Z

2019-01-30T19:23:02.000Z

kwat/array/check_not_nan.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-05-05T01:52:31.000Z

2019-04-20T21:06:05.000Z

kwat/array/check_not_nan.py

KwatME/ccal

d96dfa811482eee067f346386a2181ec514625f4

[ "MIT" ]

5

2017-07-17T18:55:54.000Z

2019-02-02T04:46:19.000Z

from numpy import isnan, logical_not def check_not_nan(nu___): return logical_not(isnan(nu___))

14.714286

36

0.76699

16

103

4.3125

0.6875

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103

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1

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1

0

null

0

1

0

1

0

7

6d72b41ed2a7a60644d2246484e7f29852685b36

87

py

Python

neighgen/__init__.py

Privex/neighgen

912e2fbaddfe75610af1f87d8259fd23c180927a

[ "X11", "MIT" ]

1

2021-09-20T06:29:08.000Z

neighgen/__init__.py

Privex/neighgen

912e2fbaddfe75610af1f87d8259fd23c180927a

[ "X11", "MIT" ]

null

neighgen/__init__.py

Privex/neighgen

912e2fbaddfe75610af1f87d8259fd23c180927a

[ "X11", "MIT" ]

null

from neighgen.core import * from neighgen.version import * from neighgen.ngen import *

21.75

30

0.793103

12

87

5.75

0.5

0.521739

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0.137931

87

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1

0

null

0

1

0

1

0

1

0

7

6d8269ed6bbda3e78282a680b2381c72aebb418c

166

py

Python

analysis_data/__init__.py

solmannn/alu

1e31b8a39a4718f32b4a8d3f5614553744fd2aad

[ "MIT" ]

null

analysis_data/__init__.py

solmannn/alu

1e31b8a39a4718f32b4a8d3f5614553744fd2aad

[ "MIT" ]

null

analysis_data/__init__.py

solmannn/alu

1e31b8a39a4718f32b4a8d3f5614553744fd2aad

[ "MIT" ]

null

from analysis_data.AnalysisConfig import AnalysisConfig from analysis_data.AnalysisResult import AnalysisResult from analysis_data.AnalysisResult import AnalysisBits

41.5

55

0.909639

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0.388889

0.243243

0.324324

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null

0

1

0

1

0

1

0

8

6d96cc75b23e33f113e264a65a0ac4c117212a48

14,397

py

Python

tests/test_console.py

5H3LL3H5/hm310p

a334c87e18c1420f6ae60e51737f3b5a47744e88

[ "MIT" ]

null

tests/test_console.py

5H3LL3H5/hm310p

a334c87e18c1420f6ae60e51737f3b5a47744e88

[ "MIT" ]

null

tests/test_console.py

5H3LL3H5/hm310p

a334c87e18c1420f6ae60e51737f3b5a47744e88

[ "MIT" ]

null

# tests/test_console.py import click.testing import pytest from hm310p_cli import console sport: str = "/dev/ttyS0" pstate: str = "off" vout: float = 12.00 iout: float = 1.000 ovp: float = 12.50 ocp: float = 1.100 iMinA: float = 0.0 iMaxA: float = 10.0 uMinV: float = 0.0 uMaxV: float = 30.0 arglist = [ f"--port={sport}", f"--powerstate=off", f"--vout={vout:02.2f}", f"--iout={iout:02.3f}", f"--ovp={ovp:02.2f}", f"--ocp={ocp:02.3f}", "--debug", ] @pytest.fixture def runner(): return click.testing.CliRunner() def test_main_fails_without_args(runner): result = runner.invoke(console.main) assert result.exception assert all(x in result.output for x in ["Usage", "Error:"]) assert result.exit_code != 0 def test_main_fails_without_arg_port(runner): tmplist = list(arglist) del tmplist[0] result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error:", "-p", "--port"]) assert result.exit_code != 0 def test_main_fails_without_arg_powerstate(runner): tmplist = list(arglist) del tmplist[1] result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error:", "-s", "--powerstate"]) assert result.exit_code != 0 def test_main_fails_without_arg_vout(runner): tmplist = list(arglist) del tmplist[2] result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error:", "-V", "--vout"]) assert result.exit_code != 0 def test_main_fails_without_arg_iout(runner): tmplist = list(arglist) del tmplist[3] result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error:", "-I", "--iout"]) assert result.exit_code != 0 def test_main_fails_with_invalid_powerstate(runner): tmplist = list(arglist) tmplist[1] = "--powerstate=onoff" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error:", "-s", "--powerstate"]) assert result.exit_code != 0 def test_main_succeeds_without_debug(runner): tmplist = list(arglist) del tmplist[6] result = runner.invoke(console.main, tmplist) assert not result.exception assert result.exit_code == 0 def test_main_succeeds_with_powerstate_on(runner): tmplist = list(arglist) tmplist[1] = "--powerstate=on" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Port\t\t: {sport}", "Powerstate\t: on", f"Vout\t\t: {vout:02.3f} V", f"OVP\t\t: {ovp:02.3f} V", f"Iout\t\t: {iout:02.3f} A", f"OCP\t\t: {ocp:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_without_arg_ovp(runner): tmplist = list(arglist) del tmplist[4] result = runner.invoke(console.main, tmplist) assert not result.exception assert result.exit_code == 0 def test_main_succeeds_without_arg_ocp(runner): tmplist = list(arglist) del tmplist[5] result = runner.invoke(console.main, tmplist) assert not result.exception assert result.exit_code == 0 def test_main_succeeds_with_arg_ovp_and_with_arg_ocp(runner): tmplist = list(arglist) result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Port\t\t: {sport}", f"Powerstate\t: {pstate}", f"Vout\t\t: {vout:02.3f} V", f"OVP\t\t: {ovp:02.3f} V", f"Iout\t\t: {iout:02.3f} A", f"OCP\t\t: {ocp:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_without_arg_ovp_but_with_arg_ocp(runner): tmplist = list(arglist) del tmplist[4] result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Port\t\t: {sport}", f"Powerstate\t: {pstate}", f"Vout\t\t: {vout:02.3f} V", f"OVP\t\t: {vout*1.05:02.3f} V => OVP not given,", f"Iout\t\t: {iout:02.3f} A", f"OCP\t\t: {ocp:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_with_arg_ovp_but_without_arg_ocp(runner): tmplist = list(arglist) del tmplist[5] result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Port\t\t: {sport}", f"Powerstate\t: {pstate}", f"Vout\t\t: {vout:02.3f} V", f"OVP\t\t: {ovp:02.3f} V", f"Iout\t\t: {iout:02.3f} A", f"OCP\t\t: {iout*1.05:02.3f} A => OCP not given,", ] ) assert result.exit_code == 0 def test_main_succeeds_without_arg_ovp_and_without_arg_ocp(runner): tmplist = list(arglist) del tmplist[4:6] result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Port\t\t: {sport}", f"Powerstate\t: {pstate}", f"Vout\t\t: {vout:02.3f} V", f"OVP\t\t: {vout*1.05:02.3f} V => OVP not given,", f"Iout\t\t: {iout:02.3f} A", f"OCP\t\t: {iout*1.05:02.3f} A => OCP not given,", ] ) assert result.exit_code == 0 def test_main_succeeds_ovp_clipped_to_upper_interval_limit(runner): tmplist = list(arglist) del tmplist[4:6] tmp_vout = uMaxV / (1.05 - 0.0001) tmplist[2] = f"--vout={tmp_vout:02.3f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {tmp_vout:02.3f} V", f"OVP\t\t: {uMaxV:02.3f} V => OVP not given, clipped", ] ) assert result.exit_code == 0 def test_main_succeeds_ocp_clipped_to_upper_interval_limit(runner): tmplist = list(arglist) del tmplist[4:6] tmp_iout = iMaxA / (1.05 - 0.0001) tmplist[3] = f"--iout={tmp_iout:02.3f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Iout\t\t: {tmp_iout:02.3f} A", f"OCP\t\t: {iMaxA:02.3f} A => OCP not given, clipped", ] ) assert result.exit_code == 0 def test_main_succeeds_ovp_and_ocp_clipped_to_upper_interval_limit(runner): tmplist = list(arglist) del tmplist[4:6] tmp_vout = uMaxV / (1.05 - 0.0001) tmp_iout = iMaxA / (1.05 - 0.0001) tmplist[2] = f"--vout={tmp_vout:02.3f}" tmplist[3] = f"--iout={tmp_iout:02.3f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {tmp_vout:02.3f} V", f"OVP\t\t: {uMaxV:02.3f} V => OVP not given, clipped", f"Iout\t\t: {tmp_iout:02.3f} A", f"OCP\t\t: {iMaxA:02.3f} A => OCP not given, clipped", ] ) assert result.exit_code == 0 def test_main_fails_with_ovp_smaller_than_vout(runner): tmplist = list(arglist) tmplist[4] = f"--ovp={vout-1:02.3f}" result = runner.invoke(console.main, tmplist) assert result.exception assert all( x in result.output for x in ["Usage", f"Error: OVP={vout-1:02.3f} V < Vout={vout:02.3f} V"] ) assert result.exit_code != 0 def test_main_fails_with_ocp_smaller_than_iout(runner): tmplist = list(arglist) tmplist[5] = f"--ocp={iout-1:02.3f}" result = runner.invoke(console.main, tmplist) assert result.exception assert all( x in result.output for x in ["Usage", f"Error: OCP={iout-1:02.3f} A < Iout={iout:02.3f} A"] ) assert result.exit_code != 0 def test_main_fails_with_vout_out_of_upper_interval_limit(runner): tmplist = list(arglist) tmplist[2] = "--vout=50" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_iout_out_of_upper_interval_limit(runner): tmplist = list(arglist) tmplist[3] = "--iout=50" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_ovp_out_of_upper_interval_limit(runner): tmplist = list(arglist) tmplist[4] = "--ovp=50" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_ocp_out_of_upper_interval_limit(runner): tmplist = list(arglist) tmplist[5] = "--ocp=50" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_vout_out_of_lower_interval_limit(runner): tmplist = list(arglist) tmplist[2] = "--vout=-1" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_iout_out_of_lower_interval_limit(runner): tmplist = list(arglist) tmplist[3] = "--iout=-1" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_ovp_out_of_lower_interval_limit(runner): tmplist = list(arglist) tmplist[4] = "--ovp=-1" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_fails_with_ocp_out_of_lower_interval_limit(runner): tmplist = list(arglist) tmplist[5] = "--ocp=-1" result = runner.invoke(console.main, tmplist) assert result.exception assert all(x in result.output for x in ["Usage", "Error: Invalid value"]) assert result.exit_code != 0 def test_main_succeeds_with_vout_at_lower_interval_limit(runner): tmplist = list(arglist) tmplist[2] = f"--vout={uMinV:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {uMinV:02.3f} V", ] ) assert result.exit_code == 0 def test_main_succeeds_with_vout_and_ovp_at_lower_interval_limit(runner): tmplist = list(arglist) tmplist[2] = f"--vout={uMinV:f}" tmplist[4] = f"--ovp={uMinV:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {uMinV:02.3f} V", f"OVP\t\t: {uMinV:02.3f} V", ] ) assert result.exit_code == 0 def test_main_succeeds_with_iout_at_lower_interval_limit(runner): tmplist = list(arglist) tmplist[3] = f"--iout={iMinA:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Iout\t\t: {iMinA:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_with_iout_and_ocp_at_lower_interval_limit(runner): tmplist = list(arglist) tmplist[3] = f"--iout={iMinA:f}" tmplist[5] = f"--ocp={iMinA:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Iout\t\t: {iMinA:02.3f} A", f"OCP\t\t: {iMinA:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_with_vout_ovp_iout_and_ocp_at_lower_interval_limit(runner): tmplist = list(arglist) tmplist[2] = f"--vout={uMinV:f}" tmplist[3] = f"--iout={iMinA:f}" tmplist[4] = f"--ovp={uMinV:f}" tmplist[5] = f"--ocp={iMinA:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {uMinV:02.3f} V", f"OVP\t\t: {uMinV:02.3f} V", f"Iout\t\t: {iMinA:02.3f} A", f"OCP\t\t: {iMinA:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_with_vout_and_ovp_at_upper_interval_limit(runner): tmplist = list(arglist) tmplist[2] = f"--vout={uMaxV:f}" tmplist[4] = f"--ovp={uMaxV:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {uMaxV:02.3f} V", f"OVP\t\t: {uMaxV:02.3f} V", ] ) assert result.exit_code == 0 def test_main_succeeds_with_iout_and_ocp_at_upper_interval_limit(runner): tmplist = list(arglist) tmplist[3] = f"--iout={iMaxA:f}" tmplist[5] = f"--ocp={iMaxA:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Iout\t\t: {iMaxA:02.3f} A", f"OCP\t\t: {iMaxA:02.3f} A", ] ) assert result.exit_code == 0 def test_main_succeeds_with_vout_ovp_iout_and_ocp_at_upper_interval_limit(runner): tmplist = list(arglist) tmplist[2] = f"--vout={uMaxV:f}" tmplist[3] = f"--iout={iMaxA:f}" tmplist[4] = f"--ovp={uMaxV:f}" tmplist[5] = f"--ocp={iMaxA:f}" result = runner.invoke(console.main, tmplist) assert not result.exception assert all( x in result.output for x in [ f"Vout\t\t: {uMaxV:02.3f} V", f"OVP\t\t: {uMaxV:02.3f} V", f"Iout\t\t: {iMaxA:02.3f} A", f"OCP\t\t: {iMaxA:02.3f} A", ] ) assert result.exit_code == 0

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null

0

7

096c479cd35b262be91ab059d7d9230b719cd331

3,454

py

Python

d4s2_api/migrations/0013_1_dds_id_fields_not_null.py

Duke-GCB/D4S2

47bef4b632967440608f2cc7a3fc31c32b2060fa

[ "MIT" ]

null

d4s2_api/migrations/0013_1_dds_id_fields_not_null.py

Duke-GCB/D4S2

47bef4b632967440608f2cc7a3fc31c32b2060fa

[ "MIT" ]

138

2016-09-23T18:09:18.000Z

2022-03-03T15:50:19.000Z

d4s2_api/migrations/0013_1_dds_id_fields_not_null.py

Duke-GCB/D4S2

47bef4b632967440608f2cc7a3fc31c32b2060fa

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.4 on 2018-01-26 18:26 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('d4s2_api', '0013_0_null_to_blank_history_fields'), ] operations = [ migrations.AlterField( model_name='delivery', name='from_user_id', field=models.CharField(default='', help_text='DukeDS uuid user sending delivery', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='delivery', name='project_id', field=models.CharField(default='', help_text='DukeDS uuid project to deliver', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='delivery', name='to_user_id', field=models.CharField(default='', help_text='DukeDS uuid user receiving delivery', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicaldelivery', name='from_user_id', field=models.CharField(default='', help_text='DukeDS uuid user sending delivery', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicaldelivery', name='project_id', field=models.CharField(default='', help_text='DukeDS uuid project to deliver', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicaldelivery', name='to_user_id', field=models.CharField(default='', help_text='DukeDS uuid user receiving delivery', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicalshare', name='from_user_id', field=models.CharField(default='', help_text='DukeDS uuid user sharing the project', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicalshare', name='project_id', field=models.CharField(default='', help_text='DukeDS uuid project to share with', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='historicalshare', name='to_user_id', field=models.CharField(default='', help_text='DukeDS uuid user having project shared with them', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='share', name='from_user_id', field=models.CharField(default='', help_text='DukeDS uuid user sharing the project', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='share', name='project_id', field=models.CharField(default='', help_text='DukeDS uuid project to share with', max_length=255), preserve_default=False, ), migrations.AlterField( model_name='share', name='to_user_id', field=models.CharField(default='', help_text='DukeDS uuid user having project shared with them', max_length=255), preserve_default=False, ), ]

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1

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null

0

9

097548ee04061fd46c967ffb92f16b17ea720986

5,098

py

Python

tests/func/test_doc_serpyco.py

raphj/hapic

b169ee901005bbe535e27ec878a051c2c1226e43

[ "MIT" ]

20

2017-10-13T11:23:33.000Z

2021-12-09T12:42:06.000Z

tests/func/test_doc_serpyco.py

raphj/hapic

b169ee901005bbe535e27ec878a051c2c1226e43

[ "MIT" ]

130

2017-10-10T15:09:13.000Z

2021-12-30T10:36:08.000Z

tests/func/test_doc_serpyco.py

raphj/hapic

b169ee901005bbe535e27ec878a051c2c1226e43

[ "MIT" ]

7

2017-10-17T07:24:42.000Z

2021-09-16T14:33:17.000Z

# coding: utf-8 import dataclasses from hapic import Hapic from hapic.error.serpyco import SerpycoDefaultErrorBuilder from hapic.ext.agnostic.context import AgnosticApp from hapic.ext.agnostic.context import AgnosticContext from hapic.processor.serpyco import SerpycoProcessor from tests.base import serpyco_compatible_python @serpyco_compatible_python class TestDocSerpyco(object): """ Test doc generation for serpyco with AgnosticContext """ def test_func__ok__doc__exclude_in_processor_output_body(self,): app = AgnosticApp() hapic = Hapic() hapic.set_processor_class(SerpycoProcessor) hapic.set_context(AgnosticContext(app, default_error_builder=SerpycoDefaultErrorBuilder())) @dataclasses.dataclass class UserSchema(object): id: int name: str password: str @hapic.with_api_doc() @hapic.output_body(UserSchema, processor=SerpycoProcessor(exclude=["password"])) def my_view(): pass app.route("/hello", "GET", callback=my_view) doc = hapic.generate_doc() assert ( "#/definitions/UserSchema_exclude_password" == doc["paths"]["/hello"]["get"]["responses"]["200"]["schema"]["$ref"] ) assert "UserSchema_exclude_password" in doc["definitions"] def test_func__ok__doc__exclude_in_processor_input_body(self,): app = AgnosticApp() hapic = Hapic() hapic.set_processor_class(SerpycoProcessor) hapic.set_context(AgnosticContext(app, default_error_builder=SerpycoDefaultErrorBuilder())) @dataclasses.dataclass class UserSchema(object): id: int name: str password: str @hapic.with_api_doc() @hapic.input_body(UserSchema, processor=SerpycoProcessor(exclude=["password"])) def my_view(hapic_data): pass app.route("/hello", "GET", callback=my_view) doc = hapic.generate_doc() assert ( "#/definitions/UserSchema_exclude_password" == doc["paths"]["/hello"]["get"]["parameters"][0]["schema"]["$ref"] ) assert "UserSchema_exclude_password" in doc["definitions"] def test_func__ok__doc__exclude_in_processor_input_query(self,): app = AgnosticApp() hapic = Hapic() hapic.set_processor_class(SerpycoProcessor) hapic.set_context(AgnosticContext(app, default_error_builder=SerpycoDefaultErrorBuilder())) @dataclasses.dataclass class UserSchema(object): id: int name: str password: str @hapic.with_api_doc() @hapic.input_query(UserSchema, processor=SerpycoProcessor(exclude=["password"])) def my_view(hapic_data): pass app.route("/hello", "GET", callback=my_view) doc = hapic.generate_doc() assert 2 == len(doc["paths"]["/hello"]["get"]["parameters"]) assert "id" == doc["paths"]["/hello"]["get"]["parameters"][0]["name"] assert "name" == doc["paths"]["/hello"]["get"]["parameters"][1]["name"] assert "UserSchema_exclude_password" in doc["definitions"] def test_func__ok__doc__exclude_in_processor_input_path(self,): app = AgnosticApp() hapic = Hapic() hapic.set_processor_class(SerpycoProcessor) hapic.set_context(AgnosticContext(app, default_error_builder=SerpycoDefaultErrorBuilder())) @dataclasses.dataclass class UserSchema(object): id: int name: str password: str @hapic.with_api_doc() @hapic.input_path(UserSchema, processor=SerpycoProcessor(exclude=["password"])) def my_view(hapic_data): pass app.route("/hello/{id}/{name}", "GET", callback=my_view) doc = hapic.generate_doc() assert 2 == len(doc["paths"]["/hello/{id}/{name}"]["get"]["parameters"]) assert "id" == doc["paths"]["/hello/{id}/{name}"]["get"]["parameters"][0]["name"] assert "name" == doc["paths"]["/hello/{id}/{name}"]["get"]["parameters"][1]["name"] assert "UserSchema_exclude_password" in doc["definitions"] def test_func__ok__doc__with_handle_exception(self): app = AgnosticApp() hapic = Hapic() hapic.set_processor_class(SerpycoProcessor) hapic.set_context(AgnosticContext(app, default_error_builder=SerpycoDefaultErrorBuilder())) @dataclasses.dataclass class UserSchema(object): id: int name: str password: str @hapic.with_api_doc() @hapic.handle_exception(ZeroDivisionError, http_code=400) def my_view(hapic_data): 1 / 0 app.route("/hello", "GET", callback=my_view) doc = hapic.generate_doc() assert "DefaultErrorSchema" in doc["definitions"] properties = doc["definitions"]["DefaultErrorSchema"]["properties"] assert "message" in properties assert "details" in properties assert "code" in properties

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0

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5,098

144

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0

null

0

1

0

null

0

1

0

7

09b946d5fd09ddfef5a17466babf979ed0dc8f6c

8,032

py

Python

src/restApi/updates/api/views.py

nightwarriorftw/restApi

41bb572f55d27fbdb104a3624a15cbb959b92cf7

[ "MIT" ]

null

src/restApi/updates/api/views.py

nightwarriorftw/restApi

41bb572f55d27fbdb104a3624a15cbb959b92cf7

[ "MIT" ]

10

2020-06-05T20:12:44.000Z

2022-03-12T00:08:39.000Z

src/restApi/updates/api/views.py

nightwarriorftw/restApi

41bb572f55d27fbdb104a3624a15cbb959b92cf7

[ "MIT" ]

null

import json from updates.models import Updates as UpdatesModel from updates.forms import UpdatesModelForm from django.views.generic import View from django.http import HttpResponse from restApi.mixins import HttpResponseMixins from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt from .mixins import CSRFExemptMixins from .utils import is_json class UpdatesApiListView(HttpResponseMixins, CSRFExemptMixins, View): is_json = True def get_queryset(self): qs = UpdatesModel.objects.all() self.queryset = qs return qs def get_object(self, id=None): if id is None: return None qs = self.get_queryset().filter(id=id) if qs.count() == 1: return qs.first() else: return None def get(self, request, *args, **kwargs): # data = json.loads(request.body) # if data == "{}": # passed_id = None # else: # passed_id = data.get("id") # if passed_id is not None: # obj = self.get_object(id=passed_id) # if obj is None: # json_data = json.dumps({"message": "Update not found !!!"}) # return self.render_to_response(json_data, status=404) # json_data = obj.serialize() # return self.render_to_response(json_data) # else: qs = self.get_queryset() json_data = qs.serialize() return self.render_to_response(json_data) def post(self, request, *args, **kwargs): valid_json = is_json(request.body) if not valid_json: json_data = json.dumps( {"message": "The entry is not in JSON format. Please enter valid JSON format."}) return self.render_to_response(json_data, status=400) data = json.loads(request.body) print(data) form = UpdatesModelForm(data) if form.is_valid(): obj = form.save(commit=True) json_data = obj.serialize() return self.render_to_response(json_data, status=202) if form.errors: json_data = json.dumps(form.errors) return self.render_to_response(json_data, status=404) json_data = json.dumps({ "message": "Something went wrong please try again" }) return self.render_to_response(json_data, status=403) def put(self, request, *args, **kwargs): valid_json = is_json(request.body) if not valid_json: json_data = json.dumps( {"message": "The entry is not in JSON format. Please enter valid JSON format."}) return self.render_to_response(json_data, status=400) passed_data = json.loads(request.body) passed_id = passed_data.get("id") obj = self.get_object(id=passed_id) if obj is None: json_data = json.dumps({"message": "The entry does not exist"}) return self.render_to_response(json_data, status=404) old_data = json.loads(obj.serialize()) passed_data = json.loads(request.body) if passed_id is None: json_data = json.dumps( {"id": "ID is a must required field to do this operation"}) return self.render_to_response(json_data, status=400) for key, value in passed_data.items(): old_data[key] = value form = UpdatesModelForm(old_data, instance=obj) if form.is_valid(): obj = form.save(commit=False) json_data = json.dumps(old_data) return self.render_to_response(json_data, status=201) if form.errors: json_data = json.dumps(form.errors) return self.render_to_response(json_data, status=400) json_data = json.dumps({"message": "Something is happening !!"}) return self.render_to_response(json_data, status=404) def delete(self, request, *args, **kwargs): valid_json = is_json(request.body) if not valid_json: json_data = json.dumps( {"message": "The entry is not in JSON format. Please enter valid JSON format."}) return self.render_to_response(json_data, status=400) passed_data = json.loads(request.body) passed_id = passed_data.get("id", None) if passed_id is None: json_data = json.dumps( {"id": "ID is a must required field to do this operation"}) return self.render_to_response(json_data, status=400) obj = self.get_object(id=passed_id) if obj is None: json_data = json.dumps({"message": "Please send the correct ID."}) return self.render_to_response(json_data, status=404) deleted_obj, updates_stats = obj.delete() if deleted_obj is 1: json_data = json.dumps( {"message": "Entity with ID {id} deleted".format(id=id)}) return self.render_to_response(json_data, status=200) json_data = json.dumps({ "message": "This is a delete request, but something went wrong !!!" }) return self.render_to_response(json_data, status=403) class UpdatesApiDetailView(HttpResponseMixins, CSRFExemptMixins, View): is_json = True def get_object(self, id=None): qs = UpdatesModel.objects.filter(id=id) if qs.count() == 1: return qs.first() else: return None def get(self, request, id, *args, **kwargs): obj = self.get_object(id=id) if obj is None: json_data = json.dumps({"message": "The entry does not exist"}) return self.render_to_response(json_data, status=400) json_data = obj.serialize() return self.render_to_response(json_data) def post(self, request, id, *args, **kwargs): json_data = json.dumps({ "message": "This method is not allowed. Use /api/updates/ method." }) return self.render_to_response(json_data, status=400) def put(self, request, id, *args, **kwargs): valid_json = is_json(request.body) if not valid_json: json_data = json.dumps( {"message": "The entry is not in JSON format. Please enter valid JSON format."}) return self.render_to_response(json_data, status=400) obj = self.get_object(id=id) if obj is None: json_data = json.dumps({"message": "The entry does not exist"}) return self.render_to_response(json_data, status=404) old_data = json.loads(obj.serialize()) passed_data = json.loads(request.body) for key, value in passed_data.items(): old_data[key] = value print(old_data, passed_data) form = UpdatesModelForm(old_data, instance=obj) if form.is_valid(): obj = form.save(commit=False) json_data = json.dumps(old_data) return self.render_to_response(json_data, status=201) if form.errors: json_data = json.dumps(form.errors) return self.render_to_response(json_data, status=400) json_data = json.dumps({"message": "Something is happening !!"}) return self.render_to_response(json_data, status=404) def delete(self, request, id, *args, **kwargs): obj = self.get_object(id=id) if obj is None: json_data = json.dumps({"message": "Please send the correct ID."}) return self.render_to_response(json_data, status=404) deleted_obj, updates_stats = obj.delete() if deleted_obj is 1: json_data = json.dumps( {"message": "Entity with ID {id} deleted".format(id=id)}) return self.render_to_response(json_data, status=200) json_data = json.dumps({ "message": "This is a delete request, but something went wrong !!!" }) return self.render_to_response(json_data, status=403)

35.857143

96

0.611429

1,034

8,032

4.574468

0.11412

0.098097

0.110359

0.840592

0.830233

0.805497

0.775053

0.756871

0

0.014298

0.285981

8,032

223

97

36.017937

0.810462

0.050548

0

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0

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0

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false

0.080247

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0

0.358025

0.012346

0

null

0

1

0

1

0

null

0

1

0

8

1120fa03cbd554dd0014361c35c4dfab82cb5cfb

161

py

Python

workstation_app/admin.py

berserg2010/network_audit

62ba8dd0839c648547af75a402042758eb96f1bb

[ "Apache-2.0" ]

null

workstation_app/admin.py

berserg2010/network_audit

62ba8dd0839c648547af75a402042758eb96f1bb

[ "Apache-2.0" ]

4

2021-03-19T03:54:41.000Z

2021-06-10T19:19:09.000Z

workstation_app/admin.py

berserg2010/network_audit

62ba8dd0839c648547af75a402042758eb96f1bb

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import list_class_models @admin.register(*list_class_models) class WorkstationAdmin(admin.ModelAdmin): pass

17.888889

41

0.813665

21

161

6.047619

0.571429

0.141732

0.23622

0

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161

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0.894366

0

1

0

true

0.2

0.4

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0

1

0

null

0

1

0

1

0

7

113fe0d6753d0f71d7cc170a8d2efc712ba361e9

181

py

Python

adeskForgeWrapper/AFWExceptions.py

GastonBC/adeskForgeWrapper

ae80e2c353d6b817de736f0b4bcddc35c9b2916f

[ "MIT" ]

5

2020-04-14T17:54:08.000Z

2020-12-15T17:00:17.000Z

adeskForgeWrapper/AFWExceptions.py

GastonBC/adeskForgeWrapper

ae80e2c353d6b817de736f0b4bcddc35c9b2916f

[ "MIT" ]

null

adeskForgeWrapper/AFWExceptions.py

GastonBC/adeskForgeWrapper

ae80e2c353d6b817de736f0b4bcddc35c9b2916f

[ "MIT" ]

null

'''Forge and AFW exceptions''' class AFWError(Exception): '''Base class for AFW exceptions''' class APIError(Exception): '''Base class for API response exceptions'''

25.857143

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48

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0

7

115f84b421fea51d9679183409a98782f9c885f4

1,022

py

Python

test/test_convert/test_temp_folder.py

etcher-be/EDLM

7b25c85252fd15c2c222b00271f7a32e335db704

[ "MIT" ]

null

test/test_convert/test_temp_folder.py

etcher-be/EDLM

7b25c85252fd15c2c222b00271f7a32e335db704

[ "MIT" ]

4

2020-03-24T16:53:26.000Z

2020-06-26T08:31:13.000Z

test/test_convert/test_temp_folder.py

etcher-be/EDLM

7b25c85252fd15c2c222b00271f7a32e335db704

[ "MIT" ]

null

# coding=utf-8 import pytest from edlm.convert._temp_folder import Context, TempDir def test_temp_dir(): ctx = Context() assert ctx.temp_dir is None with TempDir(ctx): assert ctx.temp_dir.is_dir() assert ctx.temp_dir.exists() temp_dir = ctx.temp_dir assert ctx.temp_dir is None assert not temp_dir.exists() def test_temp_dir_keep(): ctx = Context() ctx.keep_temp_dir = True assert ctx.temp_dir is None with TempDir(ctx): assert ctx.temp_dir.is_dir() assert ctx.temp_dir.exists() temp_dir = ctx.temp_dir assert ctx.temp_dir == temp_dir assert temp_dir.exists() def test_temp_dir_with_error(): ctx = Context() assert ctx.temp_dir is None with pytest.raises(TypeError): with TempDir(ctx): assert ctx.temp_dir.is_dir() assert ctx.temp_dir.exists() temp_dir = ctx.temp_dir raise TypeError() assert ctx.temp_dir == temp_dir assert temp_dir.exists()

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0

1

0

7

feff97a8484ceb2f7bfe2fef09bcf4e09c7a71e8

15,418

py

Python

model.py

suleymanaslan/animation-gan

97d5d0850a09a3ef30308408be034f6dfd145acd

[ "MIT" ]

null

model.py

suleymanaslan/animation-gan

97d5d0850a09a3ef30308408be034f6dfd145acd

[ "MIT" ]

null

model.py

suleymanaslan/animation-gan

97d5d0850a09a3ef30308408be034f6dfd145acd

[ "MIT" ]

null

import torch.nn as nn def weights_init(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal_(m.weight.data, 0.0, 0.02) elif classname.find('BatchNorm') != -1: nn.init.normal_(m.weight.data, 1.0, 0.02) nn.init.constant_(m.bias.data, 0) class Generator2D(nn.Module): def __init__(self, latent_size=100, input_channels=108, feature_map_size=64): super(Generator2D, self).__init__() net_channels = [latent_size, feature_map_size*8, feature_map_size*4, feature_map_size*2, feature_map_size*1, input_channels] # self.main = nn.Sequential( # nn.ConvTranspose2d(net_channels[0], net_channels[1], 4, 1, 0, bias=False), nn.BatchNorm2d(net_channels[1]), nn.ReLU(True), # nn.ConvTranspose2d(net_channels[1], net_channels[2], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[2]), nn.ReLU(True), # nn.ConvTranspose2d(net_channels[2], net_channels[3], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[3]), nn.ReLU(True), # nn.ConvTranspose2d(net_channels[3], net_channels[4], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[4]), nn.ReLU(True), # nn.ConvTranspose2d(net_channels[4], net_channels[5], 4, 2, 1, bias=False), nn.Tanh() # ) self.main = nn.Sequential( nn.ConvTranspose2d(net_channels[0], net_channels[1], 4, 1, 0), nn.BatchNorm2d(net_channels[1]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[1], net_channels[2], 4, 2, 1), nn.BatchNorm2d(net_channels[2]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[2], net_channels[3], 4, 2, 1), nn.BatchNorm2d(net_channels[3]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[3], net_channels[4], 4, 2, 1), nn.BatchNorm2d(net_channels[4]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[4], net_channels[5], 4, 2, 1), nn.Tanh() ) def forward(self, input): return self.main(input) class Generator2D_10(nn.Module): def __init__(self, latent_size=100, input_channels=108, feature_map_size=64): super(Generator2D_10, self).__init__() net_channels = [latent_size, feature_map_size*18, feature_map_size*16, feature_map_size*14, feature_map_size*12, feature_map_size*10, feature_map_size*8, feature_map_size*6, feature_map_size*4, feature_map_size*2, input_channels] self.main = nn.Sequential( nn.ConvTranspose2d(net_channels[0], net_channels[1], 2, 1, padding=0, output_padding=0), nn.BatchNorm2d(net_channels[1]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[1], net_channels[2], 3, 1, padding=0, output_padding=0), nn.BatchNorm2d(net_channels[2]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[2], net_channels[3], 3, 2, padding=1, output_padding=1), nn.BatchNorm2d(net_channels[3]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[3], net_channels[4], 3, 1, padding=1, output_padding=0), nn.BatchNorm2d(net_channels[4]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[4], net_channels[5], 3, 2, padding=1, output_padding=1), nn.BatchNorm2d(net_channels[5]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[5], net_channels[6], 3, 1, padding=1, output_padding=0), nn.BatchNorm2d(net_channels[6]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[6], net_channels[7], 5, 2, padding=2, output_padding=1), nn.BatchNorm2d(net_channels[7]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[7], net_channels[8], 5, 1, padding=2, output_padding=0), nn.BatchNorm2d(net_channels[8]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[8], net_channels[9], 7, 2, padding=3, output_padding=1), nn.BatchNorm2d(net_channels[9]), nn.ReLU(True), nn.ConvTranspose2d(net_channels[9], net_channels[10], 7, 1, padding=3, output_padding=0), nn.Tanh() ) def forward(self, input): return self.main(input) class Generator3D(nn.Module): def __init__(self, latent_size=100, input_channels=3, feature_map_size=64): super(Generator3D, self).__init__() net_channels = [latent_size, feature_map_size*8, feature_map_size*4, feature_map_size*2, feature_map_size*1, input_channels] self.main = nn.Sequential( nn.ConvTranspose3d(net_channels[0], net_channels[1], (2, 4, 4), 1, 0, bias=False), nn.BatchNorm3d(net_channels[1]), nn.ReLU(True), nn.ConvTranspose3d(net_channels[1], net_channels[2], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.BatchNorm3d(net_channels[2]), nn.ReLU(True), nn.ConvTranspose3d(net_channels[2], net_channels[3], (2, 4, 4), 2, (0, 1, 1), bias=False, output_padding=(1, 0, 0)), nn.BatchNorm3d(net_channels[3]), nn.ReLU(True), nn.ConvTranspose3d(net_channels[3], net_channels[4], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.BatchNorm3d(net_channels[4]), nn.ReLU(True), nn.ConvTranspose3d(net_channels[4], net_channels[5], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.Tanh() ) def forward(self, input): return self.main(input) class Discriminator2D(nn.Module): def __init__(self, input_channels=108, output_channels=1, feature_map_size=64, groups=1): super(Discriminator2D, self).__init__() net_channels = [input_channels, feature_map_size*1, feature_map_size*2, feature_map_size*4, feature_map_size*8, output_channels] if groups == 1: assert output_channels == 1 # self.main = nn.Sequential( # nn.Conv2d(net_channels[0], net_channels[1], 4, 2, 1, bias=False), nn.LeakyReLU(0.2, inplace=True), # nn.Conv2d(net_channels[1], net_channels[2], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), # nn.Conv2d(net_channels[2], net_channels[3], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), # nn.Conv2d(net_channels[3], net_channels[4], 4, 2, 1, bias=False), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), # nn.Conv2d(net_channels[4], net_channels[5], 4, 1, 0, bias=False), nn.Sigmoid() # ) self.main = nn.Sequential( nn.Conv2d(net_channels[0], net_channels[1], 4, 2, 1), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[1], net_channels[2], 4, 2, 1), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[2], net_channels[3], 4, 2, 1), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[3], net_channels[4], 4, 2, 1), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[4], net_channels[5], 4, 1, 0), nn.Sigmoid() ) else: self.main = nn.Sequential( nn.Conv2d(net_channels[0], net_channels[1], 4, 2, 1, groups=groups, bias=False), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[1], net_channels[2], 4, 2, 1, groups=groups, bias=False), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[2], net_channels[3], 4, 2, 1, groups=groups, bias=False), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[3], net_channels[4], 4, 2, 1, groups=groups, bias=False), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[4], net_channels[5], 4, 1, 0, groups=groups, bias=False), nn.BatchNorm2d(net_channels[5]), nn.LeakyReLU(0.2, inplace=True), nn.Flatten(), nn.Linear(net_channels[5], 1), nn.Sigmoid() ) def forward(self, input): return self.main(input) class Discriminator2D_10(nn.Module): def __init__(self, input_channels=108, output_channels=1, feature_map_size=64): super(Discriminator2D_10, self).__init__() net_channels = [input_channels, feature_map_size*1, feature_map_size*2, feature_map_size*4, feature_map_size*6, feature_map_size*8, feature_map_size*10, feature_map_size*12, feature_map_size*14, feature_map_size*16, output_channels] self.main = nn.Sequential( nn.Conv2d(net_channels[0], net_channels[1], 7, 1, 3), nn.BatchNorm2d(net_channels[1]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[1], net_channels[2], 7, 2, 3), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[2], net_channels[3], 5, 1, 2), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[3], net_channels[4], 5, 2, 2), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[4], net_channels[5], 3, 1, 1), nn.BatchNorm2d(net_channels[5]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[5], net_channels[6], 3, 2, 1), nn.BatchNorm2d(net_channels[6]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[6], net_channels[7], 3, 1, 1), nn.BatchNorm2d(net_channels[7]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[7], net_channels[8], 3, 2, 1), nn.BatchNorm2d(net_channels[8]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[8], net_channels[9], 3, 1, 0), nn.BatchNorm2d(net_channels[9]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[9], net_channels[10], 2, 1, 0), nn.Sigmoid() ) def forward(self, input): return self.main(input) class DiscriminatorTemporal(nn.Module): def __init__(self, input_channels=3, output_channels=1, feature_map_size=32, batch_size=8, sequence_length=36): super(DiscriminatorTemporal, self).__init__() self.batch_size = batch_size self.sequence_length = sequence_length self.feature_map_size = feature_map_size net_channels = [input_channels, feature_map_size*1, feature_map_size*2, feature_map_size*4, feature_map_size*8, feature_map_size*16, output_channels] self.main = nn.Sequential( nn.Conv2d(net_channels[0], net_channels[1], 4, 2, 1), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[1], net_channels[2], 4, 2, 1), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[2], net_channels[3], 4, 2, 1), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[3], net_channels[4], 4, 2, 1), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[4], net_channels[5], 4, 1, 0), nn.BatchNorm2d(net_channels[5]), nn.LeakyReLU(0.2, inplace=True), nn.Flatten() ) self.temporal = nn.Sequential( nn.Conv1d(net_channels[5], net_channels[4], 4, 2, 1), nn.LeakyReLU(0.2, inplace=True), nn.Conv1d(net_channels[4], net_channels[3], 4, 2, 1), nn.BatchNorm1d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv1d(net_channels[3], net_channels[2], 4, 2, 1), nn.BatchNorm1d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv1d(net_channels[2], net_channels[6], 4, 1, 0), nn.Sigmoid() ) def forward(self, input): conv_out = self.main(input) conv_out = conv_out.reshape(self.batch_size, self.sequence_length, self.feature_map_size*16).permute(0, 2, 1) temporal_out = self.temporal(conv_out) return temporal_out class DiscriminatorSheet(nn.Module): def __init__(self, input_channels=3, output_channels=1, feature_map_size=64): super(DiscriminatorSheet, self).__init__() net_channels = [input_channels, feature_map_size*1, feature_map_size*2, feature_map_size*4, feature_map_size*8, feature_map_size*16, feature_map_size*32, output_channels] self.main = nn.Sequential( nn.Conv2d(net_channels[0], net_channels[1], 5, (2, 3), 0, bias=False), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[1], net_channels[2], 5, (2, 3), 0, bias=False), nn.BatchNorm2d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[2], net_channels[3], 5, 2, 0, bias=False), nn.BatchNorm2d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[3], net_channels[4], 5, 2, 0, bias=False), nn.BatchNorm2d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[4], net_channels[5], 3, 2, 0, bias=False), nn.BatchNorm2d(net_channels[5]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[5], net_channels[6], 3, 2, 0, bias=False), nn.BatchNorm2d(net_channels[6]), nn.LeakyReLU(0.2, inplace=True), nn.Conv2d(net_channels[6], net_channels[7], 2, 1, 0, bias=False), nn.Sigmoid() ) def forward(self, input): return self.main(input) class Discriminator3D(nn.Module): def __init__(self, input_channels=3, output_channels=1, feature_map_size=64): super(Discriminator3D, self).__init__() net_channels = [input_channels, feature_map_size*1, feature_map_size*2, feature_map_size*4, feature_map_size*8, output_channels] self.main = nn.Sequential( nn.Conv3d(net_channels[0], net_channels[1], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.LeakyReLU(0.2, inplace=True), nn.Conv3d(net_channels[1], net_channels[2], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.BatchNorm3d(net_channels[2]), nn.LeakyReLU(0.2, inplace=True), nn.Conv3d(net_channels[2], net_channels[3], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.BatchNorm3d(net_channels[3]), nn.LeakyReLU(0.2, inplace=True), nn.Conv3d(net_channels[3], net_channels[4], (2, 4, 4), 2, (0, 1, 1), bias=False), nn.BatchNorm3d(net_channels[4]), nn.LeakyReLU(0.2, inplace=True), nn.Conv3d(net_channels[4], net_channels[5], (2, 4, 4), 1, 0, bias=False), nn.Sigmoid() ) def forward(self, input): return self.main(input)

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0

null

1

0

1

0

null

0

7

28c834af99c46295e3e514f7543fac9e4ed1b274

5,653

py

Python

ui/Pytest/test_CounterfactualInterfaceModel.py

MoisesHenr/OCEAN

e99c853893adc89652794ace62fcc8ffa78aa7ac

[ "MIT" ]

15

2021-06-15T13:48:03.000Z

2022-01-26T13:51:46.000Z

ui/Pytest/test_CounterfactualInterfaceModel.py

MoisesHenr/OCEAN

e99c853893adc89652794ace62fcc8ffa78aa7ac

[ "MIT" ]

1

2021-07-04T02:58:29.000Z

ui/Pytest/test_CounterfactualInterfaceModel.py

MoisesHenr/OCEAN

e99c853893adc89652794ace62fcc8ffa78aa7ac

[ "MIT" ]

2

2021-06-21T20:44:01.000Z

2021-06-23T11:10:56.000Z

# Author: Moises Henrique Pereira # this class handle the model's functions tests import pytest from ui.mainTest import StaticObjects # the function openChosenDataset expect a str type # send another type as parameter would arrise an assertionError @pytest.mark.parametrize('chosenDataset', [1, 2.9, ['str'], False, ('t1', 't2'), None]) def test_CIM_openChosenDataset_wrong_parameter(chosenDataset): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset(chosenDataset) # the function openChosenDataset expect a not empty str type # send an empty str type as parameter would arrise an assertionError def test_CIM_openChosenDataset_empty_str(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('') # the function openChosenDataset expect a not empty str type # a valid str would not arrise assertionError def test_CIM_openChosenDataset_right_parameter(): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') # the function transformDataPoint expect a not empty array # send none as data point would arrise an assertionError def test_CIM_transformDataPoint_none_parameter(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.transformDataPoint(None) # the function transformDataPoint expect a not empty array, and valid length # send an invalid length as data point would arrise an assertionError def test_CIM_transformDataPoint_wrong_length(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformDataPoint([67,'male',2,'own',0,1,1169,6]) # the function transformDataPoint expect a not empty array, and it with valid length # would not arrise assertionError def test_CIM_transformDataPoint_right_parameter(): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformDataPoint([67,'male',2,'own',0,1,1169,6,'radio/TV']) # the function transformSingleNumericalValue expect a string as feature name, and a number # send another type as feature would arrise assertionError @pytest.mark.parametrize('feature', [1, 2.9, False, ('t1', 't2'), None]) def test_CIM_transformSingleNumericalValue_feature_wrong_type(feature): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformSingleNumericalValue(feature, 67) # the function transformSingleNumericalValue expect a string as feature name, and a number # send none as value would arrise assertionError def test_CIM_transformSingleNumericalValue_value_none_parameter(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformSingleNumericalValue('Age', None) # the function transformSingleNumericalValue expect a string as feature name, and a number # send these would not arrise assertionError def test_CIM_transformSingleNumericalValue_right_parameters(): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformSingleNumericalValue('Age', 67) # invertTransformedDataPoint(self, transformedDataPoint) # the function invertTransformedDataPoint expect a not empty array # send none as data point would arrise an assertionError def test_CIM_invertTransformedDataPoint_none_parameter(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.invertTransformedDataPoint(None) # the function invertTransformedDataPoint expect a not empty array, and valid length # send an invalid length as data point would arrise an assertionError def test_CIM_invertTransformedDataPoint_wrong_length(): with pytest.raises(AssertionError): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.transformDataPoint([0.14285714285714285, 1.0, 0.0, 0.6666666666666666, 0.09631891548633573, 0.0, 0.0, 1.0, -0.0, 1.0, -0.0, 1.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]) # the function invertTransformedDataPoint expect a not empty array, and it with valid length # would not arrise assertionError def test_CIM_invertTransformedDataPoint_right_parameter(): counterfactualInterfaceModel = StaticObjects.staticCounterfactualInterfaceModel() counterfactualInterfaceModel.openChosenDataset('German-Credit') counterfactualInterfaceModel.invertTransformedDataPoint([0.14285714285714285, 1.0, 0.0, 0.6666666666666666, 0.09631891548633573, 0.0, 0.0, 1.0, -0.0, 1.0, -0.0, 1.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])

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null

0

1

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7

e90d4c8b29827140fb23abfd7c59a4682d0203b5

478

py

Python

omoide/migration_engine/operations/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

omoide/migration_engine/operations/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

omoide/migration_engine/operations/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

# -*- coding: utf-8 -*- from omoide.migration_engine.operations import freeze from omoide.migration_engine.operations import make_migrations from omoide.migration_engine.operations import make_relocations from omoide.migration_engine.operations import migrate from omoide.migration_engine.operations import relocate from omoide.migration_engine.operations import show_tree from omoide.migration_engine.operations import sync from omoide.migration_engine.operations import unite

47.8

63

0.870293

62

478

6.532258

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0.197531

0.375309

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0

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8

e91b8a6127a268f3b74fd3c4b6b5d04e77be165e

164

py

Python

roipoly/__init__.py

broald1/roipoly.py

1dba595342eb1557083557c7bcbeba6f479af328

[ "Apache-2.0" ]

110

2015-04-11T00:38:25.000Z

2022-03-28T14:22:33.000Z

roipoly/__init__.py

broald1/roipoly.py

1dba595342eb1557083557c7bcbeba6f479af328

[ "Apache-2.0" ]

31

2015-06-30T09:58:20.000Z

2021-11-22T10:01:31.000Z

roipoly/__init__.py

broald1/roipoly.py

1dba595342eb1557083557c7bcbeba6f479af328

[ "Apache-2.0" ]

44

2015-03-20T16:07:51.000Z

2022-03-23T12:27:45.000Z

from .roipoly import RoiPoly, MultiRoi # noqa from .roipoly import roipoly # noqa / for compatibility with old versions from .version import __version__ # noqa

32.8

74

0.77439

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1

0

1

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7

e91dbb58fa3cfcc724b6594005752be6fa3f9317

201

py

Python

app_website/core_website/views.py

pdessauw/core-framework-demo

27d2c1704b92e40220e062c30a4f40ff1f9ce674

[ "MIT" ]

null

app_website/core_website/views.py

pdessauw/core-framework-demo

27d2c1704b92e40220e062c30a4f40ff1f9ce674

[ "MIT" ]

null

app_website/core_website/views.py

pdessauw/core-framework-demo

27d2c1704b92e40220e062c30a4f40ff1f9ce674

[ "MIT" ]

null

from core_main.utils import render def home_view(request): return render(request, "core_website/home.html", {}) def help_view(request): return render(request, "core_website/help.html", {})

20.1

56

0.726368

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201

9

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null

0

1

0

1

0

7

3ad4667605d1fd57f3c13006e73e14df7efe5ec7

2,570

py

Python

emailage/validation.py

bluefish6/Emailage_Python

40be83eeb940ba995eaad789f493caf64dd5f48d

[ "MIT" ]

9

2017-10-25T22:43:23.000Z

2021-07-20T18:22:29.000Z

emailage/validation.py

bluefish6/Emailage_Python

40be83eeb940ba995eaad789f493caf64dd5f48d

[ "MIT" ]

15

2018-02-20T21:57:39.000Z

2020-08-19T17:30:36.000Z

emailage/validation.py

bluefish6/Emailage_Python

40be83eeb940ba995eaad789f493caf64dd5f48d

[ "MIT" ]

9

2017-04-04T07:46:12.000Z

2020-02-20T14:39:57.000Z

"""A module for arguments validation""" import re class Messages(object): FRAUD_CODE_RANGE_FORMAT = "fraud_code must be an integer from 1 to {} corresponding to {}. {} is given." FLAG_NOT_ALLOWED_FORMAT = "flag must be one of {}. {} is given." def assert_email(email): if not re.match(r'^[^@\s]+@([^@\s]+\.)+[^@\s]+$', email): raise ValueError('{} is not a valid email address.'.format(email)) def assert_ip(ip): ipv4_re = r'^([3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2})((\.([3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2}|0)){3})$' ipv6_re = r'^(?:(?:[0-9A-Fa-f]{1,4}:){6}' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|::(?:[0-9A-Fa-f]{1,4}:){5}' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:[0-9A-Fa-f]{1,4})?::(?:[0-9A-Fa-f]{1,4}:){4}' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4})?::' + \ '(?:[0-9A-Fa-f]{1,4}:){3}' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:(?:[0-9A-Fa-f]{1,4}:){,2}[0-9A-Fa-f]{1,4})?::' + \ '(?:[0-9A-Fa-f]{1,4}:){2}' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:(?:[0-9A-Fa-f]{1,4}:){,3}[0-9A-Fa-f]{1,4})?::' + \ '[0-9A-Fa-f]{1,4}:(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:(?:[0-9A-Fa-f]{1,4}:){,4}[0-9A-Fa-f]{1,4})?::' + \ '(?:[0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{1,4}|(?:(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}' + \ '(?:[0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))|(?:(?:[0-9A-Fa-f]{1,4}:){,5}[0-9A-Fa-f]{1,4})?::' + \ '[0-9A-Fa-f]{1,4}|(?:(?:[0-9A-Fa-f]{1,4}:){,6}[0-9A-Fa-f]{1,4})?::)$' if not re.match(ipv4_re, ip) and not re.match(ipv6_re, ip): raise ValueError('{} is not a valid IP address.'.format(ip))

65.897436

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0.377043

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0.213389

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2,570

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null

0

8

c941be08ab808f9b5d49465a036296fae7803528

119

py

Python

keg_mail/__init__.py

level12/Keg-Mail

67976e203830b38569570efc18fc412a72dfb66f

[ "BSD-3-Clause" ]

null

keg_mail/__init__.py

level12/Keg-Mail

67976e203830b38569570efc18fc412a72dfb66f

[ "BSD-3-Clause" ]

6

2020-03-10T21:12:53.000Z

2021-02-02T19:35:11.000Z

keg_mail/__init__.py

level12/Keg-Mail

67976e203830b38569570efc18fc412a72dfb66f

[ "BSD-3-Clause" ]

null

from .content import * # noqa from .plugin import * # noqa from .views import * # noqa from .model import * # noqa

23.8

30

0.663866

16

119

4.9375

0.4375

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0.531646

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0.235294

119

4

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29.75

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true

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1

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null

0

1

0

1

0

1

0

7

c986a4ed808bc790c5e01338c8f8e12e16ca1851

3,166

py

Python

sk_typing/tree.py

thomasjpfan/sk_typing

e6aacfedbce44d7748cf7c49cd2b949952f2e427

[ "MIT" ]

1

2021-02-19T20:57:36.000Z

sk_typing/tree.py

thomasjpfan/sk_typing

e6aacfedbce44d7748cf7c49cd2b949952f2e427

[ "MIT" ]

null

sk_typing/tree.py

thomasjpfan/sk_typing

e6aacfedbce44d7748cf7c49cd2b949952f2e427

[ "MIT" ]

null

from typing import Optional from typing import Union from .typing import Literal from .typing import RandomStateType class DecisionTreeClassifier: def __init__( self, criterion: Literal["gini", "entropy"] = "gini", splitter: Literal["best", "random"] = "best", max_depth: Optional[int] = None, min_samples_split: Union[int, float] = 2, min_samples_leaf: Union[int, float] = 1, min_weight_fraction_leaf: float = 0.0, max_features: Union[int, float, Literal["auto", "sqrt", "log2"]] = None, random_state: RandomStateType = None, max_leaf_nodes: Optional[int] = None, min_impurity_decrease: float = 0.0, min_impurity_split: Optional[float] = None, class_weight: Union[dict, list, Literal["balanced"], None] = None, presort: Union[bool, Literal["deprecated"]] = "deprecated", ccp_alpha: float = 0.0, ): ... class DecisionTreeRegressor: def __init__( self, criterion: Literal["mse", "friedman_mse", "mae"] = "mse", splitter: Literal["best", "random"] = "best", max_depth: Optional[int] = None, min_samples_split: Union[int, float] = 2, min_samples_leaf: Union[int, float] = 1, min_weight_fraction_leaf: float = 0.0, max_features: Union[int, float, Literal["auto", "sqrt", "log2"], None] = None, random_state: RandomStateType = None, max_leaf_nodes: Optional[int] = None, min_impurity_decrease: float = 0.0, min_impurity_split: Optional[float] = None, presort: Union[bool, Literal["deprecated"]] = "deprecated", ccp_alpha: float = 0.0, ): ... class ExtraTreeClassifier: def __init__( self, criterion: Literal["gini", "entropy"] = "gini", splitter: Literal["random", "best"] = "random", max_depth: Optional[int] = None, min_samples_split: Union[int, float] = 2, min_samples_leaf: Union[int, float] = 1, min_weight_fraction_leaf: float = 0.0, max_features: Union[int, float, Literal["auto", "sqrt", "log2"], None] = "auto", random_state: RandomStateType = None, max_leaf_nodes: Optional[int] = None, min_impurity_decrease: float = 0.0, min_impurity_split: Optional[float] = None, class_weight: Union[dict, list, Literal["balanced"], None] = None, ccp_alpha: float = 0.0, ): ... class ExtraTreeRegressor: def __init__( self, criterion: Literal["mse", "friedman_mse", "mse"] = "mse", splitter: Literal["random", "best"] = "random", max_depth: Optional[int] = None, min_samples_split: Union[int, float] = 2, min_samples_leaf: Union[int, float] = 1, min_weight_fraction_leaf: float = 0.0, max_features: Union[int, float, Literal["auto", "sqrt", "log2"], None] = "auto", random_state: RandomStateType = None, min_impurity_decrease: float = 0.0, min_impurity_split: Optional[float] = None, max_leaf_nodes: Optional[int] = None, ccp_alpha: float = 0.0, ): ...

36.813953

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0

null

0

1

0

1

0

null

0

7

a3192c19aff99e5c1f2293fd9687196e7855260d

346

py

Python

app/main/routes.py

Icoqu/SecretShare

1b0c25c3cc64803157499d2c62870254d32b3022

[ "MIT" ]

null

app/main/routes.py

Icoqu/SecretShare

1b0c25c3cc64803157499d2c62870254d32b3022

[ "MIT" ]

206

2020-05-23T18:44:20.000Z

2022-03-31T19:11:25.000Z

app/main/routes.py

Icoqu/SecretShare

1b0c25c3cc64803157499d2c62870254d32b3022

[ "MIT" ]

null

from flask import redirect, url_for, render_template from app.main import bp from flask_babel import _ @bp.route("/help/") def help_section(): return render_template('static/about.html') @bp.route("/password-generator/") def password_generator(): return render_template('static/password_generator.html', title=_('Password generator'))

26.615385

91

0.765896

46

346

5.543478

0.5

0.266667

0.156863

0.203922

0

0.106936

346

12

92

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0.825243

0

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0

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0.222222

true

0.333333

0.222222

0.777778

0

null

1

0

1

0

null

0

1

0

7

6e629e3aae2a89d5648f751c4ee9db2cf93be645

773

py

Python

rastervision2/pytorch_learner/__init__.py

alexchunet/raster-vision

76e2965557fc8380e2ffc4aa7ab1f5dc45f79033

[ "Apache-2.0" ]

1

2020-05-27T07:07:58.000Z

rastervision2/pytorch_learner/__init__.py

alexchunet/raster-vision

76e2965557fc8380e2ffc4aa7ab1f5dc45f79033

[ "Apache-2.0" ]

null

rastervision2/pytorch_learner/__init__.py

alexchunet/raster-vision

76e2965557fc8380e2ffc4aa7ab1f5dc45f79033

[ "Apache-2.0" ]

null

# flake8: noqa import rastervision2.pipeline from rastervision2.pytorch_learner.learner_config import * from rastervision2.pytorch_learner.learner import * from rastervision2.pytorch_learner.classification_learner_config import * from rastervision2.pytorch_learner.classification_learner import * from rastervision2.pytorch_learner.regression_learner_config import * from rastervision2.pytorch_learner.regression_learner import * from rastervision2.pytorch_learner.semantic_segmentation_learner_config import * from rastervision2.pytorch_learner.semantic_segmentation_learner import * from rastervision2.pytorch_learner.object_detection_learner_config import * from rastervision2.pytorch_learner.object_detection_learner import * def register_plugin(registry): pass

42.944444

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87

773

7.517241

0.229885

0.259939

0.366972

0.474006

0.889908

0.842508

0.831804

0.376147

0

0.016713

0.071151

773

17

81

45.470588

0.89415

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0

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0

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0

null

1

0

null

0

1

0

1

0

9

6ebeef87c67bcd60b0f5e8f43c4b8b2f2516d681

45

py

Python

bumps/mystic/examples/simple.py

cyankaet/bumps

427d077fd95f2d9a09eeb8677d045547061cff42

[ "MIT" ]

44

2015-03-28T06:48:43.000Z

2022-01-09T11:29:00.000Z

bumps/mystic/examples/simple.py

cyankaet/bumps

427d077fd95f2d9a09eeb8677d045547061cff42

[ "MIT" ]

68

2015-08-21T11:28:54.000Z

2022-03-30T22:14:13.000Z

bumps/mystic/examples/simple.py

cyankaet/bumps

427d077fd95f2d9a09eeb8677d045547061cff42

[ "MIT" ]

27

2015-06-22T19:25:27.000Z

2021-06-15T18:20:06.000Z

def f(x): return (x[0]-3)**2+(x[1]-5)**2

15

34

0.422222

12

45

1.583333

0.75

0

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0.177778

45

2

35

22.5

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0.5

false

0

0.5

1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

7

6eea73fb7ed5ee211acca8255f8350e9891c3f7d

107

py

Python

legacy/src/__init__.py

zz090923610/OhMyLifeRecorder

1164f6cb57a56d315d79e071b7be923a90393bed

[ "MIT" ]

2

2016-06-22T14:27:11.000Z

2016-06-22T14:27:18.000Z

legacy/src/__init__.py

zz090923610/OhMyLifeRecorder

1164f6cb57a56d315d79e071b7be923a90393bed

[ "MIT" ]

null

legacy/src/__init__.py

zz090923610/OhMyLifeRecorder

1164f6cb57a56d315d79e071b7be923a90393bed

[ "MIT" ]

1

2018-03-24T02:52:17.000Z

from .alias_hdl import * from .config_hdl import * from .job_hdl import * from .markdown_generator import *

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42f954779785cc87b6c674ff85d321bee0e44aec

2,211

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Python

tests/integration/unit_test/test_unit_test_java8_al2.py

aahung/aws-sam-cli-app-templates

fb44b0030d124e53ee4db42bc95240081e4dbbd8

[ "Apache-2.0" ]

null

tests/integration/unit_test/test_unit_test_java8_al2.py

aahung/aws-sam-cli-app-templates

fb44b0030d124e53ee4db42bc95240081e4dbbd8

[ "Apache-2.0" ]

null

tests/integration/unit_test/test_unit_test_java8_al2.py

aahung/aws-sam-cli-app-templates

fb44b0030d124e53ee4db42bc95240081e4dbbd8

[ "Apache-2.0" ]

null

from unittest import skip from tests.integration.base import Base class UnitTest_java8_al2_cookiecutter_aws_sam_hello_java_gradle(Base.JavaUnitTestGradleBase): directory = "java8.al2/cookiecutter-aws-sam-hello-java-gradle" code_directories = ["HelloWorldFunction"] class UnitTest_java8_al2_cookiecutter_aws_sam_hello_java_maven(Base.JavaUnitTestMavenBase): directory = "java8.al2/cookiecutter-aws-sam-hello-java-maven" code_directories = ["HelloWorldFunction"] class UnitTest_java8_al2_cookiecutter_aws_sam_eventbridge_hello_java_gradle(Base.JavaUnitTestGradleBase): directory = "java8.al2/cookiecutter-aws-sam-eventbridge-hello-java-gradle" code_directories = ["HelloWorldFunction"] class UnitTest_java8_al2_cookiecutter_aws_sam_eventbridge_hello_java_maven(Base.JavaUnitTestMavenBase): directory = "java8.al2/cookiecutter-aws-sam-eventbridge-hello-java-maven" code_directories = ["HelloWorldFunction"] @skip("eventbridge schema app seems not be able to build") class UnitTest_java8_al2_cookiecutter_aws_sam_eventbridge_schema_app_java_gradle(Base.JavaUnitTestGradleBase): directory = "java8.al2/cookiecutter-aws-sam-eventbridge-schema-app-java-gradle" code_directories = ["HelloWorldFunction"] @skip("eventbridge schema app seems not be able to build") class UnitTest_java8_al2_cookiecutter_aws_sam_eventbridge_schema_app_java_maven(Base.JavaUnitTestMavenBase): directory = "java8.al2/cookiecutter-aws-sam-eventbridge-schema-app-java-maven" code_directories = ["HelloWorldFunction"] class UnitTest_java8_al2_cookiecutter_aws_sam_step_functions_sample_app_gradle(Base.JavaUnitTestGradleBase): directory = "java8.al2/cookiecutter-aws-sam-hello-java-step-functions-sample-app-gradle" code_directories = [ "functions/StockBuyer", "functions/StockChecker", "functions/StockSeller", ] class UnitTest_java8_al2_cookiecutter_aws_sam_step_functions_sample_app_maven(Base.JavaUnitTestMavenBase): directory = "java8.al2/cookiecutter-aws-sam-hello-java-step-functions-sample-app-maven" code_directories = [ "functions/StockBuyer", "functions/StockChecker", "functions/StockSeller", ]

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9

6e1997e48d29f481d5701ca64c65a91a9ca3475e

11,703

py

Python

t/csi_test.py

doy/libvt100-python

1adf706513f097a545760b17badbbd132ed7d1b4

[ "MIT" ]

1

2021-05-25T01:58:24.000Z

t/csi_test.py

doy/libvt100-python

1adf706513f097a545760b17badbbd132ed7d1b4

[ "MIT" ]

null

t/csi_test.py

doy/libvt100-python

1adf706513f097a545760b17badbbd132ed7d1b4

[ "MIT" ]

1

2015-03-15T14:09:00.000Z

from . import VT100Test class CSITest(VT100Test): def test_absolute_movement(self): assert self.vt.cursor_position() == (0, 0) self.process("\033[10;10H") assert self.vt.cursor_position() == (9, 9) self.process("\033[d") assert self.vt.cursor_position() == (0, 9) self.process("\033[15d") assert self.vt.cursor_position() == (14, 9) self.process("\033[H") assert self.vt.cursor_position() == (0, 0) self.process("\033[8H") assert self.vt.cursor_position() == (7, 0) self.process("\033[15G") assert self.vt.cursor_position() == (7, 14) self.process("\033[G") assert self.vt.cursor_position() == (7, 0) self.process("\033[0;0H") assert self.vt.cursor_position() == (0, 0) self.process("\033[1;1H") assert self.vt.cursor_position() == (0, 0) self.process("\033[500;500H") assert self.vt.cursor_position() == (23, 79) def test_relative_movement(self): assert self.vt.cursor_position() == (0, 0) self.process("\033[C") assert self.vt.cursor_position() == (0, 1) self.process("\033[C") assert self.vt.cursor_position() == (0, 2) self.process("\033[20C") assert self.vt.cursor_position() == (0, 22) self.process("\033[D") assert self.vt.cursor_position() == (0, 21) self.process("\033[D") assert self.vt.cursor_position() == (0, 20) self.process("\033[9D") assert self.vt.cursor_position() == (0, 11) self.process("\033[500C") assert self.vt.cursor_position() == (0, 79) self.process("\033[500D") assert self.vt.cursor_position() == (0, 0) self.process("\033[B") assert self.vt.cursor_position() == (1, 0) self.process("\033[B") assert self.vt.cursor_position() == (2, 0) self.process("\033[20B") assert self.vt.cursor_position() == (22, 0) self.process("\033[A") assert self.vt.cursor_position() == (21, 0) self.process("\033[A") assert self.vt.cursor_position() == (20, 0) self.process("\033[9A") assert self.vt.cursor_position() == (11, 0) self.process("\033[500B") assert self.vt.cursor_position() == (23, 0) self.process("\033[500A") assert self.vt.cursor_position() == (0, 0) def test_ed(self): assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbar\033[10;10Hbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;12H\033[0J") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' ba' + ("\n" * 15) self.process("\033[5;7H\033[1J") assert self.vt.window_contents() == ("\n" * 4) + ' r' + ("\n" * 5) + ' ba' + ("\n" * 15) self.process("\033[7;7H\033[2J") assert self.vt.window_contents() == ("\n" * 24) self.process("\033[2J\033[H") assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbar\033[10;10Hbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;12H\033[J") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' ba' + ("\n" * 15) self.process("\033[2J\033[H") assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbar\033[10;10Hbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;12H\033[?0J") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' ba' + ("\n" * 15) self.process("\033[5;7H\033[?1J") assert self.vt.window_contents() == ("\n" * 4) + ' r' + ("\n" * 5) + ' ba' + ("\n" * 15) self.process("\033[7;7H\033[?2J") assert self.vt.window_contents() == ("\n" * 24) self.process("\033[2J\033[H") assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbar\033[10;10Hbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;12H\033[?J") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' ba' + ("\n" * 15) def test_el(self): assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbarbar\033[10;10Hbazbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' barbar' + ("\n" * 5) + ' bazbaz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[5;8H\033[0K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' bazbaz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;13H\033[1K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[20;22H\033[2K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 15) self.process("\033[1;2H\033[K") assert self.vt.window_contents() == 'f' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 15) self.process("\033[2J\033[H") assert self.vt.window_contents() == ("\n" * 24) self.process("foo\033[5;5Hbarbar\033[10;10Hbazbaz\033[20;20Hquux") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' barbar' + ("\n" * 5) + ' bazbaz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[5;8H\033[?0K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' bazbaz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[10;13H\033[?1K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 10) + ' quux' + ("\n" * 5) self.process("\033[20;22H\033[?2K") assert self.vt.window_contents() == 'foo' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 15) self.process("\033[1;2H\033[?K") assert self.vt.window_contents() == 'f' + ("\n" * 4) + ' bar' + ("\n" * 5) + ' baz' + ("\n" * 15) def test_ich_dch_ech(self): assert self.vt.window_contents() == ("\n" * 24) self.process("\033[10;10Hfoobar") assert self.vt.window_contents() == ("\n" * 9) + ' foobar' + ("\n" * 15) self.process("\033[10;12H\033[3@") assert self.vt.window_contents() == ("\n" * 9) + ' fo obar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 11) self.process("\033[4P") assert self.vt.window_contents() == ("\n" * 9) + ' fobar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 11) self.process("\033[100@") assert self.vt.window_contents() == ("\n" * 9) + ' fo' + ("\n" * 15) assert self.vt.cursor_position() == (9, 11) self.process("obar") assert self.vt.window_contents() == ("\n" * 9) + ' foobar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 15) self.process("\033[10;12H\033[100P") assert self.vt.window_contents() == ("\n" * 9) + ' fo' + ("\n" * 15) assert self.vt.cursor_position() == (9, 11) self.process("obar") assert self.vt.window_contents() == ("\n" * 9) + ' foobar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 15) self.process("\033[10;13H\033[X") assert self.vt.window_contents() == ("\n" * 9) + ' foo ar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 12) self.process("\033[10;11H\033[4X") assert self.vt.window_contents() == ("\n" * 9) + ' f r' + ("\n" * 15) assert self.vt.cursor_position() == (9, 10) self.process("\033[10;11H\033[400X") assert self.vt.window_contents() == ("\n" * 9) + ' f' + ("\n" * 15) assert self.vt.cursor_position() == (9, 10) def test_il_dl(self): assert self.vt.window_contents() == ("\n" * 24) self.process("\033[10;10Hfoobar\033[3D") assert self.vt.window_contents() == ("\n" * 9) + ' foobar' + ("\n" * 15) assert self.vt.cursor_position() == (9, 12) self.process("\033[L") assert self.vt.window_contents() == ("\n" * 10) + ' foobar' + ("\n" * 14) assert self.vt.cursor_position() == (9, 12) self.process("\033[3L") assert self.vt.window_contents() == ("\n" * 13) + ' foobar' + ("\n" * 11) assert self.vt.cursor_position() == (9, 12) self.process("\033[500L") assert self.vt.window_contents() == ("\n" * 24) assert self.vt.cursor_position() == (9, 12) self.process("\033[10;10Hfoobar\033[3D\033[6A") assert self.vt.window_contents() == ("\n" * 9) + ' foobar' + ("\n" * 15) assert self.vt.cursor_position() == (3, 12) self.process("\033[M") assert self.vt.window_contents() == ("\n" * 8) + ' foobar' + ("\n" * 16) assert self.vt.cursor_position() == (3, 12) self.process("\033[3M") assert self.vt.window_contents() == ("\n" * 5) + ' foobar' + ("\n" * 19) assert self.vt.cursor_position() == (3, 12) self.process("\033[500M") assert self.vt.window_contents() == ("\n" * 24) assert self.vt.cursor_position() == (3, 12) def test_scroll(self): assert self.vt.window_contents() == ("\n" * 24) self.process("1\r\n2\r\n3\r\n4\r\n5\r\n6\r\n7\r\n8\r\n9\r\n10\r\n11\r\n12\r\n13\r\n14\r\n15\r\n16\r\n17\r\n18\r\n19\r\n20\r\n21\r\n22\r\n23\r\n24") assert self.vt.window_contents() == "1\n2\n3\n4\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\n16\n17\n18\n19\n20\n21\n22\n23\n24\n" self.process("\033[15;15H") assert self.vt.cursor_position() == (14, 14) self.vt.process("\033[S") print(self.vt.window_contents().replace('\n', '\\n')) assert self.vt.window_contents() == "2\n3\n4\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\n16\n17\n18\n19\n20\n21\n22\n23\n24\n\n" assert self.vt.cursor_position() == (14, 14) self.vt.process("\033[3S") assert self.vt.window_contents() == "5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\n16\n17\n18\n19\n20\n21\n22\n23\n24\n\n\n\n\n" assert self.vt.cursor_position() == (14, 14) self.vt.process("\033[T") assert self.vt.window_contents() == "\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\n16\n17\n18\n19\n20\n21\n22\n23\n24\n\n\n\n" assert self.vt.cursor_position() == (14, 14) self.vt.process("\033[5T") assert self.vt.window_contents() == "\n\n\n\n\n\n5\n6\n7\n8\n9\n10\n11\n12\n13\n14\n15\n16\n17\n18\n19\n20\n21\n22\n" assert self.vt.cursor_position() == (14, 14)

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null

0

1

0

9

6e1e6f0a1431e2c218f998776bdd7a69f70d29f8

1,869

py

Python

project/editorial/migrations/0055_auto_20171120_2321.py

cojennin/facet

230e65316134b3399a35d40034728e61ba63cb2a

[ "MIT" ]

25

2015-07-13T22:16:36.000Z

2021-11-11T02:45:32.000Z

project/editorial/migrations/0055_auto_20171120_2321.py

cojennin/facet

230e65316134b3399a35d40034728e61ba63cb2a

[ "MIT" ]

74

2015-12-01T18:57:47.000Z

2022-03-11T23:25:47.000Z

project/editorial/migrations/0055_auto_20171120_2321.py

cojennin/facet

230e65316134b3399a35d40034728e61ba63cb2a

[ "MIT" ]

6

2016-01-08T21:12:43.000Z

2019-05-20T16:07:56.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('editorial', '0054_auto_20171119_2334'), ] operations = [ migrations.AlterField( model_name='audioasset', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='documentasset', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='imageasset', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='simpleaudio', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='simpledocument', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='simpleimage', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='simplevideo', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), migrations.AlterField( model_name='videoasset', name='organization', field=models.ForeignKey(blank=True, to='editorial.Organization', null=True), ), ]

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null

0

1

0

1

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null

0

7

6e468d1411246c5662165782687d36f32990a605

6,534

py

Python

tests/test_adapter.py

optimetry/optimetry

aa539f9fcf1cb6eb16ee3491eda7442f30a8248d

[ "MIT" ]

2

2020-11-22T21:51:10.000Z

2021-06-06T21:27:30.000Z

tests/test_adapter.py

optimetry/optimetry

aa539f9fcf1cb6eb16ee3491eda7442f30a8248d

[ "MIT" ]

null

tests/test_adapter.py

optimetry/optimetry

aa539f9fcf1cb6eb16ee3491eda7442f30a8248d

[ "MIT" ]

null

"""Unit tests for generalized diagonal moment optimizer.""" import copy import unittest import torch import optimetry.zoo def tiny_net(): """Small deterministic neural net regression problem for tests.""" torch.manual_seed(0) net = torch.nn.Sequential(torch.nn.Linear(2, 100), torch.nn.ReLU(), torch.nn.Linear(100, 100), torch.nn.ReLU(), torch.nn.Linear(100, 1)) X = torch.randn(20, 2) y = torch.randn(20, 1) return net, X, y class TestAdapter(unittest.TestCase): """Adapter unit tests.""" def test_adam(self): """Test that Adam matches.""" net, X, y = tiny_net() net_copy = copy.deepcopy(net) lr = 1e-2 weight_decay = 1e-3 betas = (0.8, 0.9) optimizer = torch.optim.Adam(net.parameters(), lr=lr, betas=betas, weight_decay=weight_decay) optimizer_copy = optimetry.zoo.Adapter(net_copy.parameters(), lr=lr, betas=betas, weight_decay=weight_decay, adam_bias_correction=True) for _ in range(10): optimizer.zero_grad() loss = (net(X) - y).square().mean() loss.backward() optimizer.step() optimizer_copy.zero_grad() loss_copy = (net_copy(X) - y).square().mean() loss_copy.backward() optimizer_copy.step() # check that trajectories match for p, p_copy in zip(net.parameters(), net_copy.parameters()): self.assertTrue(torch.allclose(p, p_copy, atol=1e-6)) def test_adamw(self): """Test that AdamW matches.""" net, X, y = tiny_net() net_copy = copy.deepcopy(net) lr = 1e-2 weight_decay = 1e-3 betas = (0.8, 0.9) optimizer = torch.optim.AdamW(net.parameters(), lr=lr, weight_decay=weight_decay) optimizer_copy = optimetry.zoo.Adapter(net_copy.parameters(), lr=lr, weight_decay=weight_decay, adam_bias_correction=True, decouple_weight_decay=True) for _ in range(10): optimizer.zero_grad() loss = (net(X) - y).square().mean() loss.backward() optimizer.step() optimizer_copy.zero_grad() loss_copy = (net_copy(X) - y).square().mean() loss_copy.backward() optimizer_copy.step() # check that trajectories match for p, p_copy in zip(net.parameters(), net_copy.parameters()): self.assertTrue(torch.allclose(p, p_copy, atol=1e-6)) def test_adagrad(self): """Test that AdaGrad matches.""" net, X, y = tiny_net() net_copy = copy.deepcopy(net) lr = 1e-2 weight_decay = 1e-3 optimizer = torch.optim.Adagrad(net.parameters(), lr=lr, weight_decay=weight_decay) optimizer_copy = optimetry.zoo.Adapter(net_copy.parameters(), lr=lr, betas=(0, 1), gammas=(1, 1), eps=1e-10, weight_decay=weight_decay) for _ in range(10): optimizer.zero_grad() loss = (net(X) - y).square().mean() loss.backward() optimizer.step() optimizer_copy.zero_grad() loss_copy = (net_copy(X) - y).square().mean() loss_copy.backward() optimizer_copy.step() # check that trajectories match for p, p_copy in zip(net.parameters(), net_copy.parameters()): self.assertTrue(torch.allclose(p, p_copy, atol=1e-6)) def test_rmsprop_with_momentum(self): """Test that RMSProp matches with nonzero momentum.""" net, X, y = tiny_net() net_copy = copy.deepcopy(net) lr = 1e-2 weight_decay = 1e-3 alpha = 0.9 momentum = 0.7 optimizer = torch.optim.RMSprop(net.parameters(), lr=lr, weight_decay=weight_decay, alpha=alpha, momentum=momentum) optimizer_copy = optimetry.zoo.Adapter(net_copy.parameters(), lr=lr, betas=(momentum, alpha), gammas=(1, 1-alpha), eps=1e-8, weight_decay=weight_decay, condition_before_momentum=True) for _ in range(10): optimizer.zero_grad() loss = (net(X) - y).square().mean() loss.backward() optimizer.step() optimizer_copy.zero_grad() loss_copy = (net_copy(X) - y).square().mean() loss_copy.backward() optimizer_copy.step() # check that trajectories match for p, p_copy in zip(net.parameters(), net_copy.parameters()): self.assertTrue(torch.allclose(p, p_copy, atol=1e-6)) def test_rmsprop_without_momentum(self): """Test that RMSProp matches with zero momentum.""" net, X, y = tiny_net() net_copy = copy.deepcopy(net) lr = 1e-2 weight_decay = 1e-3 alpha = 0.9 momentum = 0 optimizer = torch.optim.RMSprop(net.parameters(), lr=lr, weight_decay=weight_decay, alpha=alpha, momentum=momentum) optimizer_copy = optimetry.zoo.Adapter(net_copy.parameters(), lr=lr, betas=(momentum, alpha), gammas=(1, 1-alpha), eps=1e-8, weight_decay=weight_decay, condition_before_momentum=True) for _ in range(10): optimizer.zero_grad() loss = (net(X) - y).square().mean() loss.backward() optimizer.step() optimizer_copy.zero_grad() loss_copy = (net_copy(X) - y).square().mean() loss_copy.backward() optimizer_copy.step() # check that trajectories match for p, p_copy in zip(net.parameters(), net_copy.parameters()): self.assertTrue(torch.allclose(p, p_copy, atol=1e-6)) if __name__ == '__main__': unittest.main()

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Python

IPython/external/mglob/__init__.py

dchichkov/ipython

8096bb8640ee7e7c5ebdf3f428fe69cd390e1cd4

[ "BSD-3-Clause-Clear" ]

2

2015-04-21T12:12:43.000Z

2015-04-21T12:12:54.000Z

IPython/external/mglob/__init__.py

dchichkov/ipython

8096bb8640ee7e7c5ebdf3f428fe69cd390e1cd4

[ "BSD-3-Clause-Clear" ]

3

2015-04-01T13:14:57.000Z

2015-05-26T16:01:37.000Z

IPython/external/mglob/__init__.py

dchichkov/ipython

8096bb8640ee7e7c5ebdf3f428fe69cd390e1cd4

[ "BSD-3-Clause-Clear" ]

1

2021-10-06T07:59:25.000Z

try: from mglob import * except ImportError: from _mglob import *

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py

Python

Software/Python/motion/gcode_gen.py

pd3d/magneto

da619b58b3e3c0ba9d6ac149e8902d8fc4614ccb

[ "MIT" ]

1

2021-05-18T16:50:11.000Z

Software/Python/motion/gcode_gen.py

dash-orlando/magneto

da619b58b3e3c0ba9d6ac149e8902d8fc4614ccb

[ "MIT" ]

null

Software/Python/motion/gcode_gen.py

dash-orlando/magneto

da619b58b3e3c0ba9d6ac149e8902d8fc4614ccb

[ "MIT" ]

null

""" Motion Test Script Script designed to generate GCODE for a given 3D path Fluvio L Lobo Fenoglietto """ import numpy as np def gcode_gen( out_name, x, y, z, speed ): """ Given a 3D path described by its coordinates in x, y, and z, the function generates a GCODE 10/05/2018 - Added the speed input variable (same for all axes movement) """ # Data-specific Variables and Edits ======================================= # array_len = len(x) # len(y) or len(z) printer_offset = [150.00, 150.00, 75.00] # offset to center of printer x = x + printer_offset[0] y = y + printer_offset[1] z = z + printer_offset[2] x = x.round( decimals=2 ) # truncate float to 2 decimals y = y.round( decimals=2 ) z = z.round( decimals=2 ) ext = ".gcode" file_name = out_name + ext file = open( file_name, "w" ) for i in range(0, array_len): # write all the data from the data arrays if i == 0: # Terminal Debug ================================================== # print( '; G-Code generated by gcode_gen version 1.0' ) print( '; Home axes...' ) print( 'G28 ;' ) # gcode command for homing all axes print( '; Initializing...' ) print( '; Applying Z Offset...' ) print( 'G91 ; Relative position...' ) # set relative position print( 'G1 Z50 ; Add Z Offset to avoid electronics...' ) # apply Z offset to avoid electronics print( '; Starting Path...\n' ) print( 'G90 ; Absolute position...\n' ) # set absolute position print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) # ================================================================= # # GCODE Generator ================================================= # file.write( '; G-Code generated by gcode_gen version 1.0\n' ) file.write( '; Home axes...\n' ) file.write( 'G28 ;\n' ) # gcode command for homing all axes file.write( '; Initializing...\n' ) file.write( '; Applying Z Offset...\n' ) file.write( 'G91 ; Relative position...\n' ) # set relative position file.write( 'G1 Z50 ; Add Z Offset to avoid electronics...\n' ) # apply Z offset to avoid electronics file.write( '; Starting Path...\n' ) file.write( 'G90 ; Absolute position...\n' ) # set absolute position file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... # ================================================================= # elif i > 0: # Terminal Debug ================================================== # print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) # ================================================================= # # GCODE Generator ================================================= # file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... # ================================================================= # file.close() def gcode_gen_2( out_name, x, y, z, printer_offset, speed ): """ gcode_gen_2 Newest version of the gcode generator function Features: 10/12/2018 - Converted printer offsets as an input to the function """ # Data-specific Variables and Edits ======================================= # array_len = len(x) # len(y) or len(z) x = x + printer_offset[0] # offset to center of printer y = y + printer_offset[1] z = z + printer_offset[2] x = x.round( decimals=2 ) # truncate float to 2 decimals y = y.round( decimals=2 ) z = z.round( decimals=2 ) ext = ".gcode" file_name = out_name + ext file = open( file_name, "w" ) for i in range(0, array_len): # write all the data from the data arrays if i == 0: # Terminal Debug ================================================== # print( '; G-Code generated by gcode_gen version 1.0' ) print( '; Home axes...' ) print( 'G28 ;' ) # gcode command for homing all axes print( '; Initializing...' ) print( '; Applying Z Offset...' ) print( 'G91 ; Relative position...' ) # set relative position print( 'G1 Z50 ; Add Z Offset to avoid electronics...' ) # apply Z offset to avoid electronics print( '; Starting Path...\n' ) print( 'G90 ; Absolute position...\n' ) # set absolute position print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) # ================================================================= # # GCODE Generator ================================================= # file.write( '; G-Code generated by gcode_gen version 1.0\n' ) file.write( '; Home axes...\n' ) file.write( 'G28 ;\n' ) # gcode command for homing all axes file.write( '; Initializing...\n' ) file.write( '; Applying Z Offset...\n' ) file.write( 'G91 ; Relative position...\n' ) # set relative position file.write( 'G1 Z50 ; Add Z Offset to avoid electronics...\n' ) # apply Z offset to avoid electronics file.write( '; Starting Path...\n' ) file.write( 'G90 ; Absolute position...\n' ) # set absolute position file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... # ================================================================= # elif i > 0: # Terminal Debug ================================================== # print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) # ================================================================= # # GCODE Generator ================================================= # file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... # ================================================================= # file.close() def gcode_gen_cwalk( out_name, x, y, z, printer, speed, interval, mode ): """ gcode_gen_rw Gcode Generator Function specific to a Random Walk, featuring; intervals --> time intervals (in milliseconds) between motion mode --> mode of operation; --> mode = 0 --> normal mode --> mode = 1 --> steppers are disable and re-enabled between intervals Features: 10/12/2018 - Converted printer offsets as an input to the function """ # Data-specific Variables and Edits ======================================= # array_len = len(x) # len(y) or len(z) ## x = x + printer_offset[0] # offset to center of printer ## y = y + printer_offset[1] ## z = z + printer_offset[2] x0 = printer[0].round( decimals=2 ) y0 = printer[1].round( decimals=2 ) z0 = printer[2].round( decimals=2 ) x = x.round( decimals=2 ) # truncate float to 2 decimals y = y.round( decimals=2 ) z = z.round( decimals=2 ) ext = ".gcode" file_name = out_name + ext file = open( file_name, "w" ) for i in range(0, array_len): # write all the data from the data arrays if i == 0: # Terminal Debug ================================================== # print( '; G-Code generated by gcode_gen version 1.0' ) print( '; Home axes...' ) print( 'G28 ;' ) # gcode command for homing all axes print( '; Initializing...' ) print( '; Moving to center...' ) print( 'G90 ; Relative position...' ) print( 'G1 X{} Y{} Z{} F{}'.format( x0,y0,z0,speed )) # translation to the center of the printer print( '; Starting Path...\n' ) print( 'G91 ; Relative position...\n' ) # set absolute position print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) if ( mode == 0 ): print( 'G4 P{}'.format( interval )) # added interval or wait elif ( mode == 1 ): print( 'M18' ) # disable motors print( 'G4 P{}'.format( interval )) # added interval or wait print( 'M17' ) # enable motors # ================================================================= # # GCODE Generator ================================================= # file.write( '; G-Code generated by gcode_gen version 1.0\n' ) file.write( '; Home axes...\n' ) file.write( 'G28 ;\n' ) # gcode command for homing all axes file.write( '; Initializing...\n' ) file.write( '; Moving to center...\n' ) file.write( 'G90 ; Absolute position...\n' ) file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x0,y0,z0,speed )) # translation to the center of the printer file.write( '; Starting Path...\n' ) file.write( 'G91 ; Relative position...\n' ) # set absolute position file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... if ( mode == 0 ): file.write( 'G4 P{} \n'.format( interval )) # added interval or wait elif ( mode == 1 ): file.write( 'M18 \n' ) # disable motors file.write( 'G4 P{} \n'.format( interval )) # added interval or wait file.write( 'M17 \n' ) # enable motors # ================================================================= # elif i > 0: # Terminal Debug ================================================== # print( 'G1 X{} Y{} Z{} F{}'.format( x[i],y[i],z[i],speed )) if ( mode == 0 ): print( 'G4 P{}'.format( interval )) # added interval or wait elif ( mode == 1 ): print( 'M18' ) # disable motors print( 'G4 P{}'.format( interval )) # added interval or wait print( 'M17' ) # enable motors # ================================================================= # # GCODE Generator ================================================= # file.write( 'G1 X{} Y{} Z{} F{} \n'.format( x[i],y[i],z[i],speed )) # write to .gcode file... if ( mode == 0 ): file.write( 'G4 P{} \n'.format( interval )) # added interval or wait elif ( mode == 1 ): file.write( 'M18 \n' ) # disable motors file.write( 'G4 P{} \n'.format( interval )) # added interval or wait file.write( 'M17 \n' ) # enable motors # ================================================================= # file.close() """ References: - https://www.simplify3d.com/support/articles/3d-printing-gcode-tutorial/ """

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28656fce87eaa5d0c0a0157fcaec17f28b80ace9

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py

Python

fichas/migrations/0007_auto_20160925_1625.py

reciproco/delma

ec20f8b1a7673279643f990a75f73bbdc806927a

[ "MIT" ]

null

fichas/migrations/0007_auto_20160925_1625.py

reciproco/delma

ec20f8b1a7673279643f990a75f73bbdc806927a

[ "MIT" ]

null

fichas/migrations/0007_auto_20160925_1625.py

reciproco/delma

ec20f8b1a7673279643f990a75f73bbdc806927a

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-09-25 16:25 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('fichas', '0006_auto_20160628_2137'), ] operations = [ migrations.AddField( model_name='ficha', name='dr', field=models.CharField(default=0, max_length=24), preserve_default=False, ), migrations.AddField( model_name='ficha', name='emg', field=models.CharField(default=0, max_length=128), preserve_default=False, ), migrations.AddField( model_name='ficha', name='ext', field=models.CharField(default=0, max_length=12), preserve_default=False, ), migrations.AddField( model_name='ficha', name='flex', field=models.CharField(default=0, max_length=12), preserve_default=False, ), migrations.AddField( model_name='ficha', name='mov', field=models.CharField(default=0, max_length=12), preserve_default=False, ), migrations.AddField( model_name='ficha', name='pc', field=models.CharField(default=0, max_length=24), preserve_default=False, ), migrations.AddField( model_name='ficha', name='prosup', field=models.CharField(default=0, max_length=12), preserve_default=False, ), migrations.AddField( model_name='ficha', name='rot', field=models.CharField(default=0, max_length=12), preserve_default=False, ), migrations.AddField( model_name='ficha', name='rte', field=models.CharField(default=0, max_length=24), preserve_default=False, ), migrations.AddField( model_name='ficha', name='tm', field=models.CharField(default=0, max_length=12), preserve_default=False, ), ]

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289f0bad4249819672d1996e0412f8a5d41a0042

6,680

py

Python

blog/forms/blog/showcase_forms.py

msidargo/msidargo_blog

7b412e30532ddab23e81e1a0f5e9a44cd2e7f108

[ "MIT" ]

null

blog/forms/blog/showcase_forms.py

msidargo/msidargo_blog

7b412e30532ddab23e81e1a0f5e9a44cd2e7f108

[ "MIT" ]

null

blog/forms/blog/showcase_forms.py

msidargo/msidargo_blog

7b412e30532ddab23e81e1a0f5e9a44cd2e7f108

[ "MIT" ]

null

# Django imports from django import forms from django.forms import TextInput, Select, FileInput # Third-party app imports from ckeditor.widgets import CKEditorWidget # Blog app imports from blog.models.showcase_models import Showcase from blog.models.category_models import Category class ShowcaseCreateForm(forms.ModelForm): category = forms.ModelChoiceField(queryset=Category.objects.filter( approved=True), empty_label="Select Category", widget=forms.Select(attrs= { "class": "form-control selectpicker", "type": "text", "name": "showcase-category", "id": "showcaseCategory", "data-live-search": "true" } ) ) class Meta: # Showcase status constants DRAFTED = "DRAFTED" PUBLISHED = "PUBLISHED" # CHOICES STATUS_CHOICES = ( (DRAFTED, 'Draft'), (PUBLISHED, 'Publish'), ) model = Showcase fields = ["title", "category", "image", "image_credit", "body", "tags", "status"] widgets = { 'title': TextInput(attrs={ 'name': "showcase-title", 'class': "form-control", 'placeholder': "Enter Showcase Title", 'id': "showcaseTitle" }), 'image': FileInput(attrs={ "class": "form-control clearablefileinput", "type": "file", "id": "showcaseImage", "name": "showcase-image" } ), 'image_credit': TextInput(attrs={ 'name': "image_credit", 'class': "form-control", 'placeholder': "Example: made4dev.com (Premium Programming T-shirts)", 'id': "image_credit" }), 'body': forms.CharField(widget=CKEditorWidget(config_name="default", attrs={ "rows": 5, "cols": 20, 'id': 'content', 'name': "showcase_content", 'class': "form-control", })), 'tags': TextInput(attrs={ 'name': "tags", 'class': "form-control", 'placeholder': "Example: sports, game, politics", 'id': "tags", 'data-role': "tagsinput" }), 'status': Select(choices=STATUS_CHOICES, attrs= { "class": "form-control selectpicker", "name": "status", "type": "text", "id": "showcaseStatus", "data-live-search": "true", "title": "Select Status" } ), } class ShowcaseUpdateForm(forms.ModelForm): category = forms.ModelChoiceField(queryset=Category.objects.filter( approved=True), empty_label="Select Category", widget=forms.Select(attrs= { "class": "form-control selectpicker", "type": "text", "name": "showcase-category", "id": "showcaseCategory", "data-live-search": "true" } ) ) class Meta: # Showcase status constants DRAFTED = "DRAFTED" PUBLISHED = "PUBLISHED" # CHOICES STATUS_CHOICES = ( (DRAFTED, 'Draft'), (PUBLISHED, 'Publish'), ) model = Showcase fields = ["title", "category", "image", "image_credit", "body", "tags", "status"] widgets = { 'title': TextInput(attrs={ 'name': "showcase-title", 'class': "form-control", 'placeholder': "Enter Showcase Title", 'id': "showcaseTitle" }), 'image_credit': TextInput(attrs={ 'name': "image_credit", 'class': "form-control", 'placeholder': "Example: made4dev.com (Premium Programming T-shirts)", 'id': "image_credit" }), 'status': Select(choices=STATUS_CHOICES, attrs= { "class": "form-control selectpicker", "name": "status", "type": "text", "id": "showcaseStatus", "data-live-search": "true", "title": "Select Status" } ), 'body': forms.CharField(widget=CKEditorWidget(config_name="default", attrs={ "rows": 5, "cols": 20, 'id': 'content', 'name': "showcase_content", 'class': "form-control", })), 'image': FileInput(attrs={ "class": "form-control clearablefileinput", "type": "file", "id": "showcaseImage", "name": "showcase-image", } ), }

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null

0

8

955d547268663a8b93945fdcd3f43c4f827c2c16

4,171

py

Python

scripts/test_scripts.py

hurwitzlab/ohana-blast

fb2e46c6ee3594f10576ae74978d96a68423b0df

[ "MIT" ]

null

scripts/test_scripts.py

hurwitzlab/ohana-blast

fb2e46c6ee3594f10576ae74978d96a68423b0df

[ "MIT" ]

null

scripts/test_scripts.py

hurwitzlab/ohana-blast

fb2e46c6ee3594f10576ae74978d96a68423b0df

[ "MIT" ]

null

import io import extractseqs blast_output_text = """\ A\tHOT234_1_0200m_rep_c55158_2\t100.00\t147\t0\t0\t1\t147\t400\t546 2e-70\t272 A\tHOT234_1_0200m_c10096_4\t100.00\t147\t0\t0\t1\t147\t400\t546\t2e-70\t272 A\tHOT238_1c_0200m_c3_1\t100.00\t147\t0\t0\t1\t147\t1\t147\t2e-70\t272 A\tHOT238_1c_0200m_rep_c260499_1\t100.00\t147\t0\t0\t1\t147\t400\t546\t2e-70\t272 B\tHOT234_1_0200m_rep_c55158_2\t100.00\t147\t0\t0\t1\t147\t400\t546 2e-70\t272 B\tHOT234_1_0200m_c10096_4\t100.00\t147\t0\t0\t1\t147\t400\t546\t2e-70\t272 C\tHOT238_1c_0200m_c3_1\t100.00\t147\t0\t0\t1\t147\t1\t147\t2e-70\t272""" fasta_text = """\ >A GTGC >B ATGC >C ATGG""" def test_get_blast_hits(): blast_output_file = io.StringIO(blast_output_text) blast_hits, seqid_counts = extractseqs.get_blast_reference_hits(blast_output_file=blast_output_file, blast_output_row_limit=None) assert len(blast_hits) == 2 assert len(blast_hits['HOT234_1_0200m']) == 2 assert 'HOT234_1_0200m_rep_c55158_2' in blast_hits['HOT234_1_0200m'] assert 'HOT234_1_0200m_c10096_4' in blast_hits['HOT234_1_0200m'] assert len(blast_hits['HOT238_1c_0200m']) == 2 assert 'HOT238_1c_0200m_c3_1' in blast_hits['HOT238_1c_0200m'] assert 'HOT238_1c_0200m_rep_c260499_1' in blast_hits['HOT238_1c_0200m'] assert len(seqid_counts) == 4 assert seqid_counts['HOT234_1_0200m_rep_c55158_2'] == 2 assert seqid_counts['HOT234_1_0200m_c10096_4'] == 2 assert seqid_counts['HOT238_1c_0200m_c3_1'] == 2 assert seqid_counts['HOT238_1c_0200m_rep_c260499_1'] == 1 def test_get_blast_hits__limit(): blast_output_file = io.StringIO(blast_output_text) blast_hits, seqid_counts = extractseqs.get_blast_reference_hits(blast_output_file=blast_output_file, blast_output_row_limit=3) assert len(blast_hits) == 2 assert len(blast_hits['HOT234_1_0200m']) == 2 assert 'HOT234_1_0200m_rep_c55158_2' in blast_hits['HOT234_1_0200m'] assert 'HOT234_1_0200m_c10096_4' in blast_hits['HOT234_1_0200m'] assert len(blast_hits['HOT238_1c_0200m']) == 1 assert 'HOT238_1c_0200m_c3_1' in blast_hits['HOT238_1c_0200m'] assert len(seqid_counts) == 3 assert seqid_counts['HOT234_1_0200m_rep_c55158_2'] == 1 assert seqid_counts['HOT234_1_0200m_c10096_4'] == 1 assert seqid_counts['HOT238_1c_0200m_c3_1'] == 1 def test_find_sequences(): fasta_file = io.StringIO(fasta_text) search_results = list(extractseqs.find_sequences(['C', 'B', 'A'], fasta_file=fasta_file)) assert len(search_results) == 3 assert search_results[0].id == 'A' assert search_results[1].id == 'B' assert search_results[2].id == 'C' def test_find_sequences__first(): fasta_file = io.StringIO(fasta_text) search_results = list(extractseqs.find_sequences(['A'], fasta_file=fasta_file)) assert len(search_results) == 1 assert search_results[0].id == 'A' def test_find_sequences__middle(): fasta_file = io.StringIO(fasta_text) search_results = list(extractseqs.find_sequences(['B'], fasta_file=fasta_file)) assert len(search_results) == 1 assert search_results[0].id == 'B' def test_find_sequences__last(): fasta_file = io.StringIO(fasta_text) search_results = list(extractseqs.find_sequences(['C'], fasta_file=fasta_file)) assert len(search_results) == 1 assert search_results[0].id == 'C' def test_parse_blast_output_filename__contigs(): blast_input_file_name, seq_type = extractseqs.parse_muscope_blast_output_filename('/some/dir/test_HOT224_1_0025m.fa-contigs.tab') assert blast_input_file_name == 'test_HOT224_1_0025m.fa' assert seq_type == 'contigs' def test_parse_blast_output_filename__genes(): blast_input_file_name, seq_type = extractseqs.parse_muscope_blast_output_filename('/some/dir/test_HOT224_1_0025m.fa-genes.tab') assert blast_input_file_name == 'test_HOT224_1_0025m.fa' assert seq_type == 'genes' def test_parse_blast_output_filename__proteins(): blast_input_file_name, seq_type = extractseqs.parse_muscope_blast_output_filename('/some/dir/test_HOT224_1_0025m.fa-proteins.tab') assert blast_input_file_name == 'test_HOT224_1_0025m.fa' assert seq_type == 'proteins'

39.349057

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250b71f303964187bdd615f4e289cb2b552a5a24

9,512

py

Python

engine/validation-test/disabled/test_longhorn_vm_as_service.py

keithalucas/longhorn-tests

526d88dff4fd50ebf8d690a19ba327d625d3fcd8

[ "Apache-2.0" ]

10

2021-01-25T00:52:46.000Z

2022-02-20T01:49:56.000Z

engine/validation-test/disabled/test_longhorn_vm_as_service.py

keithalucas/longhorn-tests

526d88dff4fd50ebf8d690a19ba327d625d3fcd8

[ "Apache-2.0" ]

273

2019-06-12T17:43:49.000Z

2022-03-29T09:06:02.000Z

engine/validation-test/disabled/test_longhorn_vm_as_service.py

keithalucas/longhorn-tests

526d88dff4fd50ebf8d690a19ba327d625d3fcd8

[ "Apache-2.0" ]

24

2019-06-12T04:03:00.000Z

2022-03-21T08:08:47.000Z

from common_fixtures import * # NOQA def test_createVMService_with_root_on_longhorn(super_client, client): port = 6080 env, service, con = createVMService( super_client, client, "root", str(port), root_disk=True, data_disk=False) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" validate_writes(vm_host, port, is_root=True) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_on_longhorn_stop(super_client, client): port = 6081 # Create VM with ROOT disk using longhorn driver env, service, con = createVMService( super_client, client, "root-stop", str(port), root_disk=True, data_disk=False) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" # Validate that we are able to read/write to ROOT disk file_name, content = validate_writes( vm_host, port, is_root=True) # Stop VM exec_ssh_cmd(vm_host, port, "sync") vm = client.wait_success(vm.stop()) # Wait for VM to start wait_for_vm_scale_to_adjust(super_client, service) vm = client.reload(vm) assert vm.state == "running" time.sleep(TIME_TO_BOOT_IN_SEC) # Validate access to existing file in ROOT disk assert read_data(vm_host, port, ROOT_DIR, file_name) == content # Validate reads/writes to ROOT disk validate_writes(vm_host, port, is_root=True) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_on_longhorn_delete(super_client, client): port = 6082 # Create VM with ROOT disk using longhorn driver env, service, con = createVMService( super_client, client, "root-delete", str(port), root_disk=True, data_disk=False) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" # Validate that we are able to read/write to ROOT disk file_name, content = validate_writes( vm_host, port, is_root=True) # Delete VM exec_ssh_cmd(vm_host, port, "sync") vm = client.wait_success(client.delete(vm)) assert vm.state == 'removed' # Wait for VM to be recreated wait_for_vm_scale_to_adjust(super_client, service) vms = client.list_virtual_machine( name=vm.name, include="hosts", removed_null=True) assert len(vms) == 1 vm = vms[0] vm_host = vms[0].hosts[0] time.sleep(TIME_TO_BOOT_IN_SEC) # Validate access to existing file in ROOT disk assert read_data(vm_host, port, ROOT_DIR, file_name) == content # Validate reads/writes to ROOT disk validate_writes(vm_host, port, is_root=True) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_and_data_on_longhorn(super_client, client): port = 6083 env, service, con = createVMService( super_client, client, "root-data", str(port), root_disk=True, data_disk=True) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: assert vm.state == "running" vm_host = get_host_for_vm(client, vm) validate_writes(vm_host, port, is_root=True) validate_writes(vm_host, port, is_root=False) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_and_data_on_longhorn_stop_start( super_client, client): port = 6084 env, service, con = createVMService( super_client, client, "root-data-stop", str(port), root_disk=True, data_disk=True) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" # Validate that we are able to read/write to ROOT disk file_name_r, content_r = validate_writes( vm_host, port, is_root=True) file_name_d, content_d = validate_writes( vm_host, port, is_root=False) # Stop VM exec_ssh_cmd(vm_host, port, "sync") vm = client.wait_success(vm.stop()) # Wait for VM to start wait_for_vm_scale_to_adjust(super_client, service) vm = client.reload(vm) assert vm.state == "running" time.sleep(TIME_TO_BOOT_IN_SEC) # Validate access to existing file in ROOT and DATA disk assert read_data(vm_host, port, ROOT_DIR, file_name_r) == content_r mount_data_dir_check_file(vm_host, port, file_name_d, content_d) # Validate writes to ROOT disk validate_writes(vm_host, port, is_root=True) validate_writes(vm_host, port, is_root=False) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_and_data_on_longhorn_delete(super_client, client): port = 6085 env, service, con = createVMService( super_client, client, "root-data-delete", str(port), root_disk=True, data_disk=True) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" file_name_r, content_r = validate_writes( vm_host, port, is_root=True) file_name_d, content_d = validate_writes( vm_host, port, is_root=False) exec_ssh_cmd(vm_host, port, "sync") # Delete VM exec_ssh_cmd(vm_host, port, "sync") vm = client.wait_success(client.delete(vm)) assert vm.state == 'removed' # Wait for VM to be recreated wait_for_vm_scale_to_adjust(super_client, service) vms = client.list_virtual_machine( name=vm.name, include="hosts", removed_null=True) assert len(vms) == 1 vm = vms[0] vm_host = vms[0].hosts[0] time.sleep(TIME_TO_BOOT_IN_SEC) assert read_data(vm_host, port, ROOT_DIR, file_name_r) == content_r make_dir(vm_host, port, DATA_DIR, False) mount_data_dir_check_file(vm_host, port, file_name_d, content_d) validate_writes(vm_host, port, is_root=True) validate_writes(vm_host, port, is_root=False) delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_and_data_on_longhorn_ha(super_client, client): port = 6086 env, service, con = createVMService( super_client, client, "ha", str(port), root_disk=True, data_disk=True) vms = get_service_vm_list(super_client, service) assert len(vms) == 1 for vm in vms: vm_host = get_host_for_vm(client, vm) assert vm.state == "running" file_name_r, content_r = validate_writes( vm_host, port, is_root=True) file_name_d, content_d = validate_writes(vm_host, port, is_root=False) exec_ssh_cmd(vm_host, port, "sync") # Deactivate Host vm_host = client.wait_success(vm_host.deactivate()) assert vm_host.state == 'inactive' # Delete VM exec_ssh_cmd(vm_host, port, "sync") vm = client.wait_success(client.delete(vm)) assert vm.state == 'removed' wait_for_condition( super_client, vm, lambda x: x.state == "purged", lambda x: 'State is: ' + x.state) # Wait for VM to be recreated wait_for_vm_scale_to_adjust(super_client, service) vms = client.list_virtual_machine( name=vm.name, include="hosts", removed_null=True) assert len(vms) == 1 vm = vms[0] new_vm_host = vms[0].hosts[0] time.sleep(TIME_TO_BOOT_IN_SEC) assert \ read_data(new_vm_host, port, ROOT_DIR, file_name_r) == content_r make_dir(new_vm_host, port, DATA_DIR, False) mount_data_dir_check_file(new_vm_host, port, file_name_d, content_d) validate_writes(new_vm_host, port, is_root=True) validate_writes(new_vm_host, port, is_root=False) # Activate Host vm_host = client.wait_success(vm_host.activate()) assert vm_host.state == 'active' delete_all(client, [env]) delete_vm_volumes(client, vms[0], service) def test_createVM_with_root_and_data_on_longhorn_multiple( super_client, client): ports = [6088, 6089, 6090, 6091] scale = 1 for port in ports: env, service, con = createVMService( super_client, client, "multiple", str(port), root_disk=True, data_disk=True, scale=scale) vms = get_service_vm_list(super_client, service) assert len(vms) == scale for vm in vms: assert vm.state == "running" assert vm.healthState == "healthy" vm_host = get_host_for_vm(client, vm) validate_writes(vm_host, port, is_root=True) validate_writes(vm_host, port, is_root=False) delete_all(client, [service]) for vm in vms: delete_vm_volumes(client, vm, service)

34.842491

78

0.64508

1,354

9,512

4.220089

0.084195

0.057753

0.066503

0.044102

0.913896

0.90392

0.878719

0.831117

0.80329

0

0.010108

0.261564

9,512

272

79

34.970588

0.803388

0.074117

0

0.751244

0

0.027784

0

0.159204

1

0.039801

false

0

0.004975

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0.044776

0

null

0

1

0

1

0

null

0

7

254e4ffdcbef92fba8bae49a7e9029f8100956d3

1,784

py

Python

lut2d/test_data.py

martinxyz/pixelcrawl

e1218be20ec2fb65ab577b366f54546b59db5854

[ "MIT" ]

4

2019-05-24T13:31:43.000Z

2019-05-26T08:50:21.000Z

lut2d/test_data.py

martinxyz/pixelcrawl

e1218be20ec2fb65ab577b366f54546b59db5854

[ "MIT" ]

1

2019-10-31T02:21:45.000Z

2019-10-31T02:21:46.000Z

lut2d/test_data.py

martinxyz/pixelcrawl

e1218be20ec2fb65ab577b366f54546b59db5854

[ "MIT" ]

1

2019-05-24T13:32:10.000Z

from numpy import array test_lut = \ array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype='uint8') test_lut.flags.writeable = False

63.714286

75

0.326233

526

1,784

1.102662

0.024715

0.689655

0.791379

0.77931

0.882759

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0

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0.380045

1,784

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null

1

0

1

0

1

0

null

0

12

c25885dd356e2c0ea2392fa480fbd63cd31412b6

33

py

Python

cases/tilde.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

1

2019-04-30T16:27:19.000Z

cases/tilde.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

null

cases/tilde.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

null

print ~10 print ~-10 print ~~10

8.25

11

0.636364

6

33

3.5

0.333333

1

1.142857

1.333333

0

0.230769

0.212121

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12

11

0.576923

0

null

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0

null

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1

0

1

0

null

0

1

0

1

0

9

c28b589c07249789a4a227e83af2e3e0f32da148

20,853

py

Python

docusign_esign/apis/signature_api.py

joekohlsdorf/docusign-esign-python-client

40407544f79c88716d36fabf36f65c3ef1a5c3ba

[ "MIT" ]

58

2017-10-18T23:06:57.000Z

2021-04-15T23:14:58.000Z

docusign_esign/apis/signature_api.py

joekohlsdorf/docusign-esign-python-client

40407544f79c88716d36fabf36f65c3ef1a5c3ba

[ "MIT" ]

49

2017-10-27T05:54:09.000Z

2021-04-29T22:06:17.000Z

docusign_esign/apis/signature_api.py

joekohlsdorf/docusign-esign-python-client

40407544f79c88716d36fabf36f65c3ef1a5c3ba

[ "MIT" ]

49

2017-09-16T07:23:41.000Z

2021-05-07T20:21:20.000Z

# coding: utf-8 """ DocuSign REST API The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign. # noqa: E501 OpenAPI spec version: v2.1 Contact: devcenter@docusign.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..client.configuration import Configuration from ..client.api_client import ApiClient class SignatureApi(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): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def complete_sign_hash(self, **kwargs): """ Complete Sign Hash This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.complete_sign_hash(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param CompleteSignRequest complete_sign_request: :return: CompleteSignHashResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.complete_sign_hash_with_http_info(**kwargs) else: (data) = self.complete_sign_hash_with_http_info(**kwargs) return data def complete_sign_hash_with_http_info(self, **kwargs): """ Complete Sign Hash This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.complete_sign_hash_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param CompleteSignRequest complete_sign_request: :return: CompleteSignHashResponse If the method is called asynchronously, returns the request thread. """ all_params = ['complete_sign_request'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method complete_sign_hash" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/v2.1/signature/completesignhash'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'complete_sign_request' in params: body_params = params['complete_sign_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CompleteSignHashResponse', auth_settings=auth_settings, callback=params.get('callback'), _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_user_info(self, **kwargs): """ Get User Info To Sign Document This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_user_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UserInfoResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_user_info_with_http_info(**kwargs) else: (data) = self.get_user_info_with_http_info(**kwargs) return data def get_user_info_with_http_info(self, **kwargs): """ Get User Info To Sign Document This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_user_info_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UserInfoResponse If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user_info" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/v2.1/signature/userInfo'.replace('{format}', 'json') 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']) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserInfoResponse', auth_settings=auth_settings, callback=params.get('callback'), _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 health_check(self, **kwargs): """ Report status from the TSP to DocuSign This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.health_check(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param TspHealthCheckRequest tsp_health_check_request: :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.health_check_with_http_info(**kwargs) else: (data) = self.health_check_with_http_info(**kwargs) return data def health_check_with_http_info(self, **kwargs): """ Report status from the TSP to DocuSign This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.health_check_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param TspHealthCheckRequest tsp_health_check_request: :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['tsp_health_check_request'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method health_check" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/v2.1/signature/healthcheck'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'tsp_health_check_request' in params: body_params = params['tsp_health_check_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _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 sign_hash_session_info(self, **kwargs): """ Get Signature Session Info To Sign Document Hash This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.sign_hash_session_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param SignSessionInfoRequest sign_session_info_request: :return: SignHashSessionInfoResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.sign_hash_session_info_with_http_info(**kwargs) else: (data) = self.sign_hash_session_info_with_http_info(**kwargs) return data def sign_hash_session_info_with_http_info(self, **kwargs): """ Get Signature Session Info To Sign Document Hash This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.sign_hash_session_info_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param SignSessionInfoRequest sign_session_info_request: :return: SignHashSessionInfoResponse If the method is called asynchronously, returns the request thread. """ all_params = ['sign_session_info_request'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method sign_hash_session_info" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/v2.1/signature/signhashsessioninfo'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'sign_session_info_request' in params: body_params = params['sign_session_info_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SignHashSessionInfoResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_transaction(self, **kwargs): """ Report an error from the tsp to docusign This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.update_transaction(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param UpdateTransactionRequest update_transaction_request: :return: UpdateTransactionResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.update_transaction_with_http_info(**kwargs) else: (data) = self.update_transaction_with_http_info(**kwargs) return data def update_transaction_with_http_info(self, **kwargs): """ Report an error from the tsp to docusign This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.update_transaction_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param UpdateTransactionRequest update_transaction_request: :return: UpdateTransactionResponse If the method is called asynchronously, returns the request thread. """ all_params = ['update_transaction_request'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_transaction" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/v2.1/signature/updatetransaction'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'update_transaction_request' in params: body_params = params['update_transaction_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UpdateTransactionResponse', auth_settings=auth_settings, callback=params.get('callback'), _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)

39.56926

140

0.563756

2,007

20,853

5.590932

0.08869

0.071295

0.024953

0.032083

0.910258

0.896979

0.88067

0.852687

0.837002

0.830051

0

0.001353

0.361818

20,853

526

141

39.644487

0.841824

0.319954

0

0.733591

0

0.146366

0.067392

0

1

0.042471

false

0

0.027027

0

0.131274

0

null

0

1

0

1

0

null

0

7

6c440bf7f655d1577be0f1076b9498d88ec4ee7f

119

py

Python

torchsupport/flex/tasks/energy/__init__.py

coding-ecoli/torchsupport

a8de0e8db4f4b9cfd4ac93c0fa6923fe9151b309

[ "MIT" ]

18

2019-05-02T16:32:15.000Z

2021-04-16T09:33:54.000Z

torchsupport/flex/tasks/energy/__init__.py

coding-ecoli/torchsupport

a8de0e8db4f4b9cfd4ac93c0fa6923fe9151b309

[ "MIT" ]

5

2019-10-14T13:46:49.000Z

2021-06-08T11:48:34.000Z

torchsupport/flex/tasks/energy/__init__.py

coding-ecoli/torchsupport

a8de0e8db4f4b9cfd4ac93c0fa6923fe9151b309

[ "MIT" ]

12

2019-05-12T21:34:24.000Z

2021-07-15T14:14:16.000Z

from torchsupport.flex.tasks.energy.density_ratio import * from torchsupport.flex.tasks.energy.score_matching import *

39.666667

59

0.848739

16

119

6.1875

0.625

0.323232

0.40404

0.505051

0.626263

0

0.067227

119

2

60

59.5

0.891892

0

1

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true

0

1

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

6c63c286c6ddfcb1821838a7532ca5102ed7fe77

13,091

py

Python

tools/cardiac_py/experiments/fourteen.py

paulkefer/cardioid

59c07b714d8b066b4f84eb50487c36f6eadf634c

[ "MIT-0", "MIT" ]

33

2018-12-12T20:05:06.000Z

2021-09-26T13:30:16.000Z

tools/cardiac_py/experiments/fourteen.py

paulkefer/cardioid

59c07b714d8b066b4f84eb50487c36f6eadf634c

[ "MIT-0", "MIT" ]

5

2019-04-25T11:34:43.000Z

2021-11-14T04:35:37.000Z

tools/cardiac_py/experiments/fourteen.py

paulkefer/cardioid

59c07b714d8b066b4f84eb50487c36f6eadf634c

[ "MIT-0", "MIT" ]

15

2018-12-21T22:44:59.000Z

2021-08-29T10:30:25.000Z

''' Created on 08/01/2013 @author: butler ''' from . import ECG_plots import os class Experiment(): def __init__(self, root_dir="/Users/butler/Desktop/CARDIOID/ECG_Data"): self.root_dir = root_dir self.experiment_dir = "experiment_14" self.period_ms = 2000 self.stimulus_time_ms = 20510 def plot_ECGs_for_object_data_set_g_NaL(self): """ This plots two runs where we try to trigger reentry with & without I_k block. Here the g_NaL parameters were set using the object.data clone properties """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_5" plotter.normal_legend = "$I_{Kr} = 0.15$" plotter.modified_dir_name = "run_6" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_1_object_data_set_g_NaL.eps") def plot_ECGs_for_binary_set_g_NaL(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_9" plotter.normal_legend = "$I_{Kr} = 0.15$" plotter.modified_dir_name = "run_10" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_1_source_set_g_NaL.eps") def plot_ECG_overlay_set_beats(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_9" plotter.normal_legend = "$I_{Kr} = 0.15$" plotter.modified_dir_name = "run_10" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.period_ms = 2000 plotter.overlay_ECG_beat("Beat_9.eps", 9) plotter.overlay_ECG_beat("Beat_10.eps", 10) def plot_ECGs_for_r1310_comparison(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_10" plotter.normal_legend = "Precompiled" plotter.modified_dir_name = "run_13" plotter.modified_legend = "r1310" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("r1310_comparison.eps") def plot_fast_pacing(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_11" plotter.normal_legend = "$I_{Kr} = 0.15$" plotter.modified_dir_name = "run_12" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_1_1hz.eps") def plot_fast_pacing_single_beat(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_11" plotter.normal_legend = "$I_{Kr} = 0.15$" plotter.modified_dir_name = "run_12" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_beat("Beat_9_1_hz.eps", 9) def plot_ECG_0_1_mm(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_7" plotter.normal_legend = "$I_{Kr} = 0.00$" plotter.modified_dir_name = "run_7" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_1_source_set_01mm.eps") def plot_run_15(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_15" plotter.normal_legend = "$I_{Kr} = 0.00$" plotter.modified_dir_name = "run_15" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Plot_run_15.eps") def plot_ECG_0_1_m_old_mesh(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_20" plotter.normal_legend = "$I_{Kr} = 0.153$" plotter.modified_dir_name = "run_21" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("OLD_MESH.eps") def plot_ECG_0_1a_m_new(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_22" plotter.normal_legend = "$I_{Kr} = 0.153$" plotter.modified_dir_name = "run_23" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("new_0.1mm_mesh.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_ECG_0_2_0_1_compare(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_5" plotter.normal_legend = "$\Delta x = 0.2$" plotter.modified_dir_name = "run_22" plotter.modified_legend = "$\Delta x = 0.1$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_plus_difference("resolution_comparison.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_ECG_0_2_0_1_compare_beat_all_leads(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_5" plotter.normal_legend = "$\Delta x = 0.2$" plotter.modified_dir_name = "run_22" plotter.modified_legend = "$\Delta x = 0.1$" plotter.period_ms = self.period_ms plotter.load_data() for ii in range(7): if ii == 0: plotter.set_ECG_type(0, -1) else: plotter.set_ECG_type(ii, 1) plotter.overlay_plus_perc_error_beat("frac_error_beat_9_lead_" + repr(ii) + ".pdf", 9) plotter.overlay_plus_perc_error_beat("frac_error_beat_10_lead_" + repr(ii) + ".pdf", 10) plotter.overlay_plus_perc_error_beat("frac_error_beat_11_lead_" + repr(ii) + ".pdf", 11) plotter.overlay_plus_perc_error_beat("frac_error_beat_12_lead_" + repr(ii) + ".pdf", 12) print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_ECG_0_2_0_1_compare_error(self): """ This plots two runs where we try to trigger reentry with & without I_kr block. Here the g_NaL parameters were set using source code only """ experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_5" plotter.normal_legend = "$\Delta x = 0.2$" plotter.modified_dir_name = "run_22" plotter.modified_legend = "$\Delta x = 0.1$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_plus_perc_error( "resolution_comparison_as_perc_error.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_1hz_vs_2hz_ikr_normal(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.period_ms = self.period_ms plotter.normal_dir_name = "run_5" plotter.normal_legend = "$0.5 Hz$" plotter.modified_dir_name = "run_11" plotter.modified_legend = "$1 hz$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_beat("freq_comparison_ikr_normal_a.eps", 2) plotter.overlay_ECG_beat("freq_comparison_ikr_normal_b.eps", 3) def plot_1hz_vs_2hz_ikr_zeroed(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.period_ms = self.period_ms plotter.normal_dir_name = "run_6" plotter.normal_legend = "$0.5 Hz$" plotter.modified_dir_name = "run_12" plotter.modified_legend = "$1 hz$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_beat("freq_comparison_ikr_zeroed_a.eps", 2) plotter.overlay_ECG_beat("freq_comparison_ikr_zeroed_b.eps", 3) def plot_rentry_timing(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.period_ms = self.period_ms plotter.normal_dir_name = "run_5" plotter.normal_legend = "$i_{kr} = 0.153$" plotter.modified_dir_name = "run_6" plotter.modified_legend = "$i_{kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_reent("Reentry_intiation_capture.eps", 11) def plot_g_NaL_0_25(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_24" plotter.normal_legend = "$I_{Kr} = 0.153$" plotter.modified_dir_name = "run_25" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_g_NaL_0_25.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_g_NaL_0_15(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_26" plotter.normal_legend = "$I_{Kr} = 0.153$" plotter.modified_dir_name = "run_27" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_g_NaL_0_15.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name def plot_delayed_S2(self): experiment_dir = self.root_dir + os.sep + self.experiment_dir plotter = ECG_plots.PlotECGs(experiment_dir) plotter.normal_dir_name = "run_28" plotter.normal_legend = "$I_{Kr} = 0.153$" plotter.modified_dir_name = "run_29" plotter.modified_legend = "$I_{Kr} = 0.0$" plotter.load_data() plotter.set_ECG_type(0, -1) plotter.overlay_ECG_full("Lead_1_delayed_s2.eps") print 'This was for runs: ', plotter.normal_dir_name print 'and: ', plotter.modified_dir_name

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null

0

1

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7

6671d4ffc65c7fa5e2b27cbf307f21d8dec0c8cc

24,211

py

Python

DQM/L1TMonitorClient/python/L1TEventInfoClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQM/L1TMonitorClient/python/L1TEventInfoClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQM/L1TMonitorClient/python/L1TEventInfoClient_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

# L1 Trigger Event Info client cfi # # The cfi can be used, with appropriate settings, for both L1T and L1TEMU. # Default version in cfi: L1T event client # # authors previous versions - see CVS # # V.M. Ghete 2010-10-22 revised version of L1T DQM and L1TEMU DQM import FWCore.ParameterSet.Config as cms from DQMServices.Core.DQMEDHarvester import DQMEDHarvester l1tEventInfoClient = DQMEDHarvester("L1TEventInfoClient", monitorDir = cms.untracked.string("L1T"), # decide when to run and update the results of the quality tests # retrieval of quality test results must be consistent with the event / LS / Run execution # runInEventLoop=cms.untracked.bool(False), runInEndLumi=cms.untracked.bool(True), runInEndRun=cms.untracked.bool(True), runInEndJob=cms.untracked.bool(False), # # for each L1 system, give: # - SystemLabel: system label # - HwValLabel: system label as used in hardware validation package # (the package producing the ErrorFlag histogram) # - SystemDisable: system disabled: if 1, all quality tests for the system # are disabled in the summary plot # - for each quality test: # - QualityTestName: name of quality test # - QualityTestHist: histogram (full path) # - QualityTestSummaryEnabled: 0 if disabled, 1 if enabled in summary plot # # the position in the parameter set gives, in reverse order, the position in the reportSummaryMap # in the emulator column (left column) L1Systems = cms.VPSet( cms.PSet( SystemLabel = cms.string("ECAL_TPG"), HwValLabel = cms.string("ETP"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( SystemLabel = cms.string("HCAL_TPG"), HwValLabel = cms.string("HTP"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( SystemLabel = cms.string("RCT"), HwValLabel = cms.string("RCT"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string("HotChannels_RCT_2D"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2EmIsoEmEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_RCT_2D_loose"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2EmIsoEmEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), # cms.PSet( QualityTestName = cms.string("HotChannels_RCT_2D"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2EmNonIsoEmEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_RCT_2D_loose"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2EmNonIsoEmEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), # cms.PSet( QualityTestName = cms.string("HotChannels_RCT_2D"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2RegionsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_RCT_2D_tight"), QualityTestHist = cms.string("L1T/L1TRCT/Layer2RegionsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), ) ), cms.PSet( SystemLabel = cms.string("Stage1Layer2"), HwValLabel = cms.string("Stage1Layer2"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string("HotChannels_GCT_2D"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/IsoEmRankEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_GCT_2D_loose"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/IsoEmRankEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), # cms.PSet( QualityTestName = cms.string("HotChannels_GCT_2D"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/IsoEmRankEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_GCT_2D_loose"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/NonIsoEmRankEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), # cms.PSet( QualityTestName = cms.string("HotChannels_GCT_2D"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/AllJetsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_GCT_2D_tight"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/AllJetsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("HotChannels_GCT_2D"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/TauJetsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_GCT_2D_tight"), QualityTestHist = cms.string("L1T/L1TStage1Layer2/TauJetsEtEtaPhi"), QualityTestSummaryEnabled = cms.uint32(1) ) ) ), cms.PSet( SystemLabel = cms.string("DT_TPG"), HwValLabel = cms.string("DTP"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), # FIXME what are the histograms to be tested? cms.PSet( SystemLabel = cms.string("DTTF"), HwValLabel = cms.string("DTF"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( SystemLabel = cms.string("CSC_TPG"), HwValLabel = cms.string("CTP"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( SystemLabel = cms.string("CSCTF"), HwValLabel = cms.string("CTF"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string("DeadChannels_CSCTF_2D"), QualityTestHist = cms.string("L1T/L1TCSCTF/CSCTF_Chamber_Occupancies"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("HotChannels_CSCTF_2D"), QualityTestHist = cms.string("L1T/L1TCSCTF/CSCTF_Chamber_Occupancies"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("DeadChannels_CSCTF_2D"), QualityTestHist = cms.string("L1T/L1TCSCTF/CSCTF_occupancies"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("HotChannels_CSCTF_2D"), QualityTestHist = cms.string("L1T/L1TCSCTF/CSCTF_occupancies"), QualityTestSummaryEnabled = cms.uint32(1) ) ) ), cms.PSet( SystemLabel = cms.string("RPC"), HwValLabel = cms.string("RPC"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string("DeadChannels_RPCTF_2D"), QualityTestHist = cms.string("L1T/L1TRPCTF/RPCTF_muons_eta_phi_bx0"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("HotChannels_RPCTF_2D"), QualityTestHist = cms.string("L1T/L1TRPCTF/RPCTF_muons_eta_phi_bx0"), QualityTestSummaryEnabled = cms.uint32(1) ) ) ), cms.PSet( SystemLabel = cms.string("GMT"), HwValLabel = cms.string("GMT"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string("DeadChannels_GMT_2D"), QualityTestHist = cms.string("L1T/L1TGMT/GMT_etaphi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("HotChannels_GMT_2D"), QualityTestHist = cms.string("L1T/L1TGMT/GMT_etaphi"), QualityTestSummaryEnabled = cms.uint32(1) ), cms.PSet( QualityTestName = cms.string("CompareHist_GMT"), QualityTestHist = cms.string("L1T/L1TGMT/Regional_trigger"), QualityTestSummaryEnabled = cms.uint32(1) ) ) ), cms.PSet( SystemLabel = cms.string("GT"), HwValLabel = cms.string("GT"), SystemDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ) ), # # for each L1 trigger object, give: # - ObjectLabel: object label as used in enum L1GtObject # - ObjectDisable: emulator mask: if 1, the system is masked in the summary plot # # the position in the parameter set gives, in reverse order, the position in the reportSummaryMap # in the trigger object column (right column) L1Objects = cms.VPSet( cms.PSet( ObjectLabel = cms.string("TechTrig"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("GtExternal"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("HfRingEtSums"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("HfBitCounts"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("HTM"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("HTT"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("ETM"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("ETT"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("Tau"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("ForJet"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("CenJet"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("IsoEG"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("NoIsoEG"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ), cms.PSet( ObjectLabel = cms.string("Mu"), ObjectDisable = cms.uint32(0), QualityTests = cms.VPSet( cms.PSet( QualityTestName = cms.string(""), QualityTestHist = cms.string(""), QualityTestSummaryEnabled = cms.uint32(0) ) ) ) ), # # fast over-mask a system: if the name of the system is in the list, the system will be masked # (the default mask value is given in L1Systems VPSet) # DisableL1Systems = cms.vstring(), # # fast over-mask an object: if the name of the object is in the list, the object will be masked # (the default mask value is given in L1Objects VPSet) # DisableL1Objects = cms.vstring() )

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null

0

1

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1

0

1

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null

0

7

66a1959554ef605a50e2cc90c07693d0ef307b73

778

py

Python

mypy/15/movimiento2.py

seldoncode/Python_CoderDojo

2b0e33ac517cae853af00122b14c4e5719d770c3

[ "MIT" ]

null

mypy/15/movimiento2.py

seldoncode/Python_CoderDojo

2b0e33ac517cae853af00122b14c4e5719d770c3

[ "MIT" ]

null

mypy/15/movimiento2.py

seldoncode/Python_CoderDojo

2b0e33ac517cae853af00122b14c4e5719d770c3

[ "MIT" ]

null

#!/usr/bin/env python import os import time espacios = "" for i in range(20): time.sleep(.2) os.system("clear") print() print(f"{espacios} o ") print(f"{espacios} /|\ ") print(f"{espacios} / | ") espacios += " " time.sleep(.2) os.system("clear") print() print(f"{espacios} o ") print(f"{espacios} (|\ ") print(f"{espacios} | | ") espacios += " " time.sleep(.2) os.system("clear") print() print(f"{espacios} o ") print(f"{espacios} /|\ ") print(f"{espacios} | \ ") espacios += " " time.sleep(.2) os.system("clear") print() print(f"{espacios} o ") print(f"{espacios} /|) ") print(f"{espacios} | | ") espacios += " "

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0.0625

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null

0

1

0

9

dd77e94baa4d8f705e9091944786f08195f36b46

179

py

Python

typings/console/intellisense.py

Argmaster/PyR3

6786bcb6a101fe4bd4cc50fe43767b8178504b15

[ "MIT" ]

2

2021-12-12T18:51:52.000Z

2022-02-23T09:49:16.000Z

src/blender/blender_autocomplete-master/2.92/console/intellisense.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

2

2021-11-08T12:09:02.000Z

2021-12-12T23:01:12.000Z

typings/console/intellisense.py

Argmaster/PyR3

6786bcb6a101fe4bd4cc50fe43767b8178504b15

[ "MIT" ]

null

import sys import typing def complete(line, cursor, namespace, private): ''' ''' pass def expand(line, cursor, namespace, private): ''' ''' pass

9.421053

47

0.564246

18

179

5.611111

0.611111

0.19802

0.376238

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0.594059

0

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179

18

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null

0

1

0

1

0

1

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7

dd9568f59983fa2ea9af3d192ae665e564b47805

779

py

Python

date_difference.py

Matusf/One-Liners

93ebdffea93137b812ac29dd8e409931c7592f53

[ "MIT" ]

null

date_difference.py

Matusf/One-Liners

93ebdffea93137b812ac29dd8e409931c7592f53

[ "MIT" ]

null

date_difference.py

Matusf/One-Liners

93ebdffea93137b812ac29dd8e409931c7592f53

[ "MIT" ]

null

''' Snippet that displays difference (in days) between two given dates Input: date1 (list): First date in format <year> <month> <day> date2 (list): First date in format <year> <month> <day> Computes: int: The difference between given dates Expanded form: print('Difference [days]: {}'.format(abs( (__import__('datetime').date( *[int(i) for i in input('<year> <month> <day>: ').split()]) - __import__('datetime').date( *[int(i) for i in input('<year> <month> <day>: ').split()])).days))) ''' print('Difference [days]: {}'.format(abs((__import__('datetime').date(*[int(i) for i in input('<year> <month> <day>: ').split()]) - __import__('datetime').date(*[int(i) for i in input('<year> <month> <day>: ').split()])).days)))

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0.602054

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6600d17cc920e594b871497db94e8af41408c680

15,572

py

Python

argocd_python_client/api/certificate_service_api.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

1

2021-11-20T13:37:43.000Z

argocd_python_client/api/certificate_service_api.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

null

argocd_python_client/api/certificate_service_api.py

RyanSiu1995/argocd-python-client

2e8f097fe09f247a46ac70692241a93d1acd076a

[ "MIT" ]

null

""" Consolidate Services Description of all APIs # noqa: E501 The version of the OpenAPI document: version not set Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from argocd_python_client.api_client import ApiClient, Endpoint as _Endpoint from argocd_python_client.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from argocd_python_client.model.runtime_error import RuntimeError from argocd_python_client.model.v1alpha1_repository_certificate_list import V1alpha1RepositoryCertificateList class CertificateServiceApi(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 __certificate_service_create_certificate( self, body, **kwargs ): """Creates repository certificates on the server # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.certificate_service_create_certificate(body, async_req=True) >>> result = thread.get() Args: body (V1alpha1RepositoryCertificateList): List of certificates to be created Keyword Args: upsert (bool): Whether to upsert already existing certificates.. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: V1alpha1RepositoryCertificateList If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['body'] = \ body return self.call_with_http_info(**kwargs) self.certificate_service_create_certificate = _Endpoint( settings={ 'response_type': (V1alpha1RepositoryCertificateList,), 'auth': [], 'endpoint_path': '/api/v1/certificates', 'operation_id': 'certificate_service_create_certificate', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'body', 'upsert', ], 'required': [ 'body', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'body': (V1alpha1RepositoryCertificateList,), 'upsert': (bool,), }, 'attribute_map': { 'upsert': 'upsert', }, 'location_map': { 'body': 'body', 'upsert': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client, callable=__certificate_service_create_certificate ) def __certificate_service_delete_certificate( self, **kwargs ): """Delete the certificates that match the RepositoryCertificateQuery # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.certificate_service_delete_certificate(async_req=True) >>> result = thread.get() Keyword Args: host_name_pattern (str): A file-glob pattern (not regular expression) the host name has to match.. [optional] cert_type (str): The type of the certificate to match (ssh or https).. [optional] cert_sub_type (str): The sub type of the certificate to match (protocol dependent, usually only used for ssh certs).. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: V1alpha1RepositoryCertificateList If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.certificate_service_delete_certificate = _Endpoint( settings={ 'response_type': (V1alpha1RepositoryCertificateList,), 'auth': [], 'endpoint_path': '/api/v1/certificates', 'operation_id': 'certificate_service_delete_certificate', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'host_name_pattern', 'cert_type', 'cert_sub_type', ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'host_name_pattern': (str,), 'cert_type': (str,), 'cert_sub_type': (str,), }, 'attribute_map': { 'host_name_pattern': 'hostNamePattern', 'cert_type': 'certType', 'cert_sub_type': 'certSubType', }, 'location_map': { 'host_name_pattern': 'query', 'cert_type': 'query', 'cert_sub_type': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__certificate_service_delete_certificate ) def __certificate_service_list_certificates( self, **kwargs ): """List all available repository certificates # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.certificate_service_list_certificates(async_req=True) >>> result = thread.get() Keyword Args: host_name_pattern (str): A file-glob pattern (not regular expression) the host name has to match.. [optional] cert_type (str): The type of the certificate to match (ssh or https).. [optional] cert_sub_type (str): The sub type of the certificate to match (protocol dependent, usually only used for ssh certs).. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: V1alpha1RepositoryCertificateList If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.certificate_service_list_certificates = _Endpoint( settings={ 'response_type': (V1alpha1RepositoryCertificateList,), 'auth': [], 'endpoint_path': '/api/v1/certificates', 'operation_id': 'certificate_service_list_certificates', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'host_name_pattern', 'cert_type', 'cert_sub_type', ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'host_name_pattern': (str,), 'cert_type': (str,), 'cert_sub_type': (str,), }, 'attribute_map': { 'host_name_pattern': 'hostNamePattern', 'cert_type': 'certType', 'cert_sub_type': 'certSubType', }, 'location_map': { 'host_name_pattern': 'query', 'cert_type': 'query', 'cert_sub_type': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__certificate_service_list_certificates )

38.35468

144

0.494349

1,356

15,572

5.412979

0.15413

0.025749

0.021253

0.022071

0.805177

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0.78733

0.781335

0

0.005266

0.426792

15,572

405

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38.449383

0.817051

0.347483

0

0.616541

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false

0

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0

null

0

1

0

1

0

null

0

7

b0fe6e8474b353183949aba6ca0152c287bd859f

104,254

py

Python

src/swift_configs.py

ska-telescope/ska-sdp-distributed-fourier-transform

4c6c42cc885166960119f80b7c69550c9cd840df

[ "BSD-3-Clause" ]

null

src/swift_configs.py

ska-telescope/ska-sdp-distributed-fourier-transform

4c6c42cc885166960119f80b7c69550c9cd840df

[ "BSD-3-Clause" ]

null

src/swift_configs.py

ska-telescope/ska-sdp-distributed-fourier-transform

4c6c42cc885166960119f80b7c69550c9cd840df

[ "BSD-3-Clause" ]

null

# pylint: skip-file """ Configuration naming convention: <image size>[<fov>]-n?<padded facet size>-<padded subgrid size> Effectiveness percent gives communication overhead (100% would be not transferring any redundant data). If "n" is given, it is a new-style configuration with yN_size = yP_size. This results generally in being able to cover the image with fewer facets, for instance: "12k[1]-8k-384": ..., # nfacet=4², eff 60.6% "12k[1]-n8k-384": ..., # nfacet=2², eff 66.4% "12k[1]-n4k-384": ..., # nfacet=4², eff 57.8% I.e. whereas before we would need 4 8k facets to cover 12k, with new-style configuration 2 is enough, so we can actually make facets half as big, which is much cheaper to compute. Note however that over-the-wire efficiency *decreases* a bit (not always the case, but generally true because without image-space resampling we have less freedom in parameter choice) Configurations are sorted by "families" with a fixed N:yP_size ratio while keeping subgrid size constant (which generally leads to an equivalent configuration / same efficiency). """ SWIFT_CONFIGS = { "128k[1]-n32k-512": dict( W=11.0, fov=1, N=131072, Nx=64, yB_size=45056, yN_size=65536, yP_size=65536, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "112k[1]-n56k-512": dict( W=11.0, fov=1, N=114688, Nx=64, yB_size=39424, yN_size=57344, yP_size=57344, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "96k[1]-n48k-512": dict( W=11.0, fov=1, N=98304, Nx=64, yB_size=33792, yN_size=49152, yP_size=49152, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "72k[1]-n36k-512": dict( W=11.0, fov=1, N=73728, Nx=64, yB_size=25344, yN_size=36864, yP_size=36864, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "64k[1]-n32k-512": dict( W=11.0, fov=1, N=65536, Nx=64, yB_size=22528, yN_size=32768, yP_size=32768, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "32k[1]-n16k-512": dict( W=11.0, fov=1, N=32768, Nx=64, yB_size=11264, yN_size=16384, yP_size=16384, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "16k[1]-n8k-512": dict( W=11.0, fov=1, N=16384, Nx=64, yB_size=5632, yN_size=8192, yP_size=8192, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "14k[1]-n7k-512": dict( W=11.0, fov=1, N=14336, Nx=64, yB_size=4928, yN_size=7168, yP_size=7168, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "12k[1]-n6k-512": dict( W=11.0, fov=1, N=12288, Nx=64, yB_size=4224, yN_size=6144, yP_size=6144, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "10k[1]-n5k-512": dict( W=11.0, fov=1, N=10240, Nx=64, yB_size=3520, yN_size=5120, yP_size=5120, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "8k[1]-n4k-512": dict( W=11.0, fov=1, N=8192, Nx=64, yB_size=2816, yN_size=4096, yP_size=4096, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "7k[1]-n3584-512": dict( W=11.0, fov=1, N=7168, Nx=64, yB_size=2464, yN_size=3584, yP_size=3584, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "6k[1]-n3k-512": dict( W=11.0, fov=1, N=6144, Nx=64, yB_size=2112, yN_size=3072, yP_size=3072, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "5k[1]-n2560-512": dict( W=11.0, fov=1, N=5120, Nx=64, yB_size=1760, yN_size=2560, yP_size=2560, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "4k[1]-n2k-512": dict( W=11.0, fov=1, N=4096, Nx=64, yB_size=1408, yN_size=2048, yP_size=2048, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "3584[1]-n1792-512": dict( W=11.0, fov=1, N=3584, Nx=64, yB_size=1232, yN_size=1792, yP_size=1792, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "3k[1]-n1536-512": dict( W=11.0, fov=1, N=3072, Nx=64, yB_size=1056, yN_size=1536, yP_size=1536, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "2560[1]-n1280-512": dict( W=11.0, fov=1, N=2560, Nx=64, yB_size=880, yN_size=1280, yP_size=1280, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "2k[1]-n1k-512": dict( W=11.0, fov=1, N=2048, Nx=64, yB_size=704, yN_size=1024, yP_size=1024, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "1536[1]-n768-512": dict( W=11.0, fov=1, N=1536, Nx=64, yB_size=528, yN_size=768, yP_size=768, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "1k[1]-n512-512": dict( W=11.0, fov=1, N=1024, Nx=64, yB_size=352, yN_size=512, yP_size=512, xA_size=448, xM_size=512, ), # nfacet=3², eff 58.3% "14k[1]-n8k-448": dict( W=16.5, fov=1, N=14336, Nx=56, yB_size=7168, yN_size=8192, yP_size=8192, xA_size=392, xM_size=448, ), # nfacet=2², eff 76.6% "7k[1]-n4k-448": dict( W=16.5, fov=1, N=7168, Nx=56, yB_size=3584, yN_size=4096, yP_size=4096, xA_size=392, xM_size=448, ), # nfacet=2², eff 76.6% "3584[1]-n2k-448": dict( W=16.5, fov=1, N=3584, Nx=56, yB_size=1792, yN_size=2048, yP_size=2048, xA_size=392, xM_size=448, ), # nfacet=2², eff 76.6% "1792[1]-n1k-448": dict( W=16.5, fov=1, N=1792, Nx=56, yB_size=896, yN_size=1024, yP_size=1024, xA_size=392, xM_size=448, ), # nfacet=2², eff 76.6% "12k[1]-n8k-384": dict( W=12.0, fov=1, N=12288, Nx=4, yB_size=6144, yN_size=8192, yP_size=8192, xA_size=340, xM_size=384, ), # nfacet=2², eff 66.4% "6k[1]-n4k-384": dict( W=12.0, fov=1, N=6144, Nx=4, yB_size=3072, yN_size=4096, yP_size=4096, xA_size=340, xM_size=384, ), # nfacet=2², eff 66.4% "3k[1]-n2k-384": dict( W=12.0, fov=1, N=3072, Nx=4, yB_size=1536, yN_size=2048, yP_size=2048, xA_size=340, xM_size=384, ), # nfacet=2², eff 66.4% "1536[1]-n1k-384": dict( W=12.0, fov=1, N=1536, Nx=4, yB_size=768, yN_size=1024, yP_size=1024, xA_size=340, xM_size=384, ), # nfacet=2², eff 66.4% "10k[1]-n8k-320": dict( W=10.25, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=8192, yP_size=8192, xA_size=292, xM_size=320, ), # nfacet=2², eff 57.0% "5k[1]-n4k-320": dict( W=10.25, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=4096, yP_size=4096, xA_size=292, xM_size=320, ), # nfacet=2², eff 57.0% "2560[1]-n2k-320": dict( W=10.25, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=2048, yP_size=2048, xA_size=292, xM_size=320, ), # nfacet=2², eff 57.0% "1280[1]-n1k-320": dict( W=10.25, fov=1, N=1280, Nx=4, yB_size=640, yN_size=1024, yP_size=1024, xA_size=292, xM_size=320, ), # nfacet=2², eff 57.0% "16k[1]-n16k-256": dict( W=9.25, fov=1, N=16384, Nx=4, yB_size=8192, yN_size=16384, yP_size=16384, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "14k[1]-n14k-256": dict( W=9.25, fov=1, N=14336, Nx=4, yB_size=7168, yN_size=14336, yP_size=14336, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "12k[1]-n12k-256": dict( W=9.25, fov=1, N=12288, Nx=4, yB_size=6144, yN_size=12288, yP_size=12288, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "10k[1]-n10k-256": dict( W=9.25, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=10240, yP_size=10240, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "8k[1]-n8k-256": dict( W=9.25, fov=1, N=8192, Nx=4, yB_size=4096, yN_size=8192, yP_size=8192, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "7k[1]-n7k-256": dict( W=9.25, fov=1, N=7168, Nx=4, yB_size=3584, yN_size=7168, yP_size=7168, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "6k[1]-n6k-256": dict( W=9.25, fov=1, N=6144, Nx=4, yB_size=3072, yN_size=6144, yP_size=6144, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "5k[1]-n5k-256": dict( W=9.25, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=5120, yP_size=5120, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "4k[1]-n4k-256": dict( W=9.25, fov=1, N=4096, Nx=4, yB_size=2048, yN_size=4096, yP_size=4096, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "3584[1]-n3584-256": dict( W=9.25, fov=1, N=3584, Nx=4, yB_size=1792, yN_size=3584, yP_size=3584, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "3k[1]-n3k-256": dict( W=9.25, fov=1, N=3072, Nx=4, yB_size=1536, yN_size=3072, yP_size=3072, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "2560[1]-n2560-256": dict( W=9.25, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=2560, yP_size=2560, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "2k[1]-n2k-256": dict( W=9.25, fov=1, N=2048, Nx=4, yB_size=1024, yN_size=2048, yP_size=2048, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "1792[1]-n1792-256": dict( W=9.25, fov=1, N=1792, Nx=4, yB_size=896, yN_size=1792, yP_size=1792, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "1536[1]-n1536-256": dict( W=9.25, fov=1, N=1536, Nx=4, yB_size=768, yN_size=1536, yP_size=1536, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "1280[1]-n1280-256": dict( W=9.25, fov=1, N=1280, Nx=4, yB_size=640, yN_size=1280, yP_size=1280, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "1k[1]-n1k-256": dict( W=9.25, fov=1, N=1024, Nx=4, yB_size=512, yN_size=1024, yP_size=1024, xA_size=236, xM_size=256, ), # nfacet=2², eff 46.1% "16k[1]-n7k-512": dict( W=12.875, fov=1, N=16384, Nx=64, yB_size=5632, yN_size=7168, yP_size=7168, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "14k[1]-n6272-512": dict( W=12.875, fov=1, N=14336, Nx=64, yB_size=4928, yN_size=6272, yP_size=6272, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "12k[1]-n5376-512": dict( W=12.875, fov=1, N=12288, Nx=64, yB_size=4224, yN_size=5376, yP_size=5376, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "10k[1]-n4480-512": dict( W=12.875, fov=1, N=10240, Nx=64, yB_size=3520, yN_size=4480, yP_size=4480, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "8k[1]-n3584-512": dict( W=12.875, fov=1, N=8192, Nx=64, yB_size=2816, yN_size=3584, yP_size=3584, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "7k[1]-n3136-512": dict( W=12.875, fov=1, N=7168, Nx=64, yB_size=2464, yN_size=3136, yP_size=3136, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "6k[1]-n2688-512": dict( W=12.875, fov=1, N=6144, Nx=64, yB_size=2112, yN_size=2688, yP_size=2688, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "5k[1]-n2240-512": dict( W=12.875, fov=1, N=5120, Nx=64, yB_size=1760, yN_size=2240, yP_size=2240, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "4k[1]-n1792-512": dict( W=12.875, fov=1, N=4096, Nx=64, yB_size=1408, yN_size=1792, yP_size=1792, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "3584[1]-n1568-512": dict( W=12.875, fov=1, N=3584, Nx=64, yB_size=1232, yN_size=1568, yP_size=1568, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "3k[1]-n1344-512": dict( W=12.875, fov=1, N=3072, Nx=64, yB_size=1056, yN_size=1344, yP_size=1344, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "2560[1]-n1120-512": dict( W=12.875, fov=1, N=2560, Nx=64, yB_size=880, yN_size=1120, yP_size=1120, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "2k[1]-n896-512": dict( W=12.875, fov=1, N=2048, Nx=64, yB_size=704, yN_size=896, yP_size=896, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "1536[1]-n672-512": dict( W=12.875, fov=1, N=1536, Nx=64, yB_size=528, yN_size=672, yP_size=672, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "1k[1]-n448-512": dict( W=12.875, fov=1, N=1024, Nx=64, yB_size=352, yN_size=448, yP_size=448, xA_size=448, xM_size=512, ), # nfacet=3², eff 66.7% "14k[1]-n7k-448": dict( W=10.875, fov=1, N=14336, Nx=56, yB_size=4864, yN_size=7168, yP_size=7168, xA_size=392, xM_size=448, ), # nfacet=3², eff 58.3% "7k[1]-n3584-448": dict( W=10.875, fov=1, N=7168, Nx=56, yB_size=2432, yN_size=3584, yP_size=3584, xA_size=392, xM_size=448, ), # nfacet=3², eff 58.3% "3584[1]-n1792-448": dict( W=10.875, fov=1, N=3584, Nx=56, yB_size=1216, yN_size=1792, yP_size=1792, xA_size=392, xM_size=448, ), # nfacet=3², eff 58.3% "1792[1]-n896-448": dict( W=10.875, fov=1, N=1792, Nx=56, yB_size=608, yN_size=896, yP_size=896, xA_size=392, xM_size=448, ), # nfacet=3², eff 58.3% "12k[1]-n7k-384": dict( W=15.5, fov=1, N=12288, Nx=48, yB_size=6144, yN_size=7168, yP_size=7168, xA_size=336, xM_size=384, ), # nfacet=2², eff 75.0% "6k[1]-n3584-384": dict( W=15.5, fov=1, N=6144, Nx=48, yB_size=3072, yN_size=3584, yP_size=3584, xA_size=336, xM_size=384, ), # nfacet=2², eff 75.0% "3k[1]-n1792-384": dict( W=15.5, fov=1, N=3072, Nx=48, yB_size=1536, yN_size=1792, yP_size=1792, xA_size=336, xM_size=384, ), # nfacet=2², eff 75.0% "1536[1]-n896-384": dict( W=15.5, fov=1, N=1536, Nx=48, yB_size=768, yN_size=896, yP_size=896, xA_size=336, xM_size=384, ), # nfacet=2², eff 75.0% "10k[1]-n7k-320": dict( W=11.375, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=7168, yP_size=7168, xA_size=292, xM_size=320, ), # nfacet=2², eff 65.2% "5k[1]-n3584-320": dict( W=11.375, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=3584, yP_size=3584, xA_size=292, xM_size=320, ), # nfacet=2², eff 65.2% "2560[1]-n1792-320": dict( W=11.375, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=1792, yP_size=1792, xA_size=292, xM_size=320, ), # nfacet=2², eff 65.2% "1280[1]-n896-320": dict( W=11.375, fov=1, N=1280, Nx=4, yB_size=640, yN_size=896, yP_size=896, xA_size=292, xM_size=320, ), # nfacet=2², eff 65.2% "16k[1]-n14k-256": dict( W=9.75, fov=1, N=16384, Nx=4, yB_size=8192, yN_size=14336, yP_size=14336, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "14k[1]-n12544-256": dict( W=9.75, fov=1, N=14336, Nx=4, yB_size=7168, yN_size=12544, yP_size=12544, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "12k[1]-n10752-256": dict( W=9.75, fov=1, N=12288, Nx=4, yB_size=6144, yN_size=10752, yP_size=10752, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "10k[1]-n8960-256": dict( W=9.75, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=8960, yP_size=8960, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "8k[1]-n7k-256": dict( W=9.75, fov=1, N=8192, Nx=4, yB_size=4096, yN_size=7168, yP_size=7168, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "7k[1]-n6272-256": dict( W=9.75, fov=1, N=7168, Nx=4, yB_size=3584, yN_size=6272, yP_size=6272, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "6k[1]-n5376-256": dict( W=9.75, fov=1, N=6144, Nx=4, yB_size=3072, yN_size=5376, yP_size=5376, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "5k[1]-n4480-256": dict( W=9.75, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=4480, yP_size=4480, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "4k[1]-n3584-256": dict( W=9.75, fov=1, N=4096, Nx=4, yB_size=2048, yN_size=3584, yP_size=3584, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "3584[1]-n3136-256": dict( W=9.75, fov=1, N=3584, Nx=4, yB_size=1792, yN_size=3136, yP_size=3136, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "3k[1]-n2688-256": dict( W=9.75, fov=1, N=3072, Nx=4, yB_size=1536, yN_size=2688, yP_size=2688, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "2560[1]-n2240-256": dict( W=9.75, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=2240, yP_size=2240, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "2k[1]-n1792-256": dict( W=9.75, fov=1, N=2048, Nx=4, yB_size=1024, yN_size=1792, yP_size=1792, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "1792[1]-n1568-256": dict( W=9.75, fov=1, N=1792, Nx=4, yB_size=896, yN_size=1568, yP_size=1568, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "1536[1]-n1344-256": dict( W=9.75, fov=1, N=1536, Nx=4, yB_size=768, yN_size=1344, yP_size=1344, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "1280[1]-n1120-256": dict( W=9.75, fov=1, N=1280, Nx=4, yB_size=640, yN_size=1120, yP_size=1120, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "1k[1]-n896-256": dict( W=9.75, fov=1, N=1024, Nx=4, yB_size=512, yN_size=896, yP_size=896, xA_size=236, xM_size=256, ), # nfacet=2², eff 52.7% "16k[1]-n6k-512": dict( W=20.125, fov=1, N=16384, Nx=64, yB_size=5632, yN_size=6144, yP_size=6144, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "14k[1]-n5376-512": dict( W=20.125, fov=1, N=14336, Nx=64, yB_size=4928, yN_size=5376, yP_size=5376, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "12k[1]-n4608-512": dict( W=20.125, fov=1, N=12288, Nx=64, yB_size=4224, yN_size=4608, yP_size=4608, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "10k[1]-n3840-512": dict( W=20.125, fov=1, N=10240, Nx=64, yB_size=3520, yN_size=3840, yP_size=3840, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "8k[1]-n3k-512": dict( W=20.125, fov=1, N=8192, Nx=64, yB_size=2816, yN_size=3072, yP_size=3072, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "7k[1]-n2688-512": dict( W=20.125, fov=1, N=7168, Nx=64, yB_size=2464, yN_size=2688, yP_size=2688, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "6k[1]-n2304-512": dict( W=20.125, fov=1, N=6144, Nx=64, yB_size=2112, yN_size=2304, yP_size=2304, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "5k[1]-n1920-512": dict( W=20.125, fov=1, N=5120, Nx=64, yB_size=1760, yN_size=1920, yP_size=1920, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "4k[1]-n1536-512": dict( W=20.125, fov=1, N=4096, Nx=64, yB_size=1408, yN_size=1536, yP_size=1536, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "3584[1]-n1344-512": dict( W=20.125, fov=1, N=3584, Nx=64, yB_size=1232, yN_size=1344, yP_size=1344, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "3k[1]-n1152-512": dict( W=20.125, fov=1, N=3072, Nx=64, yB_size=1056, yN_size=1152, yP_size=1152, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "2560[1]-n960-512": dict( W=20.125, fov=1, N=2560, Nx=64, yB_size=880, yN_size=960, yP_size=960, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "2k[1]-n768-512": dict( W=20.125, fov=1, N=2048, Nx=64, yB_size=704, yN_size=768, yP_size=768, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "1536[1]-n576-512": dict( W=20.125, fov=1, N=1536, Nx=64, yB_size=528, yN_size=576, yP_size=576, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "1k[1]-n384-512": dict( W=20.125, fov=1, N=1024, Nx=64, yB_size=352, yN_size=384, yP_size=384, xA_size=320, xM_size=512, ), # nfacet=3², eff 55.6% "14k[1]-n6k-448": dict( W=13.0, fov=1, N=14336, Nx=56, yB_size=4864, yN_size=6144, yP_size=6144, xA_size=392, xM_size=448, ), # nfacet=3², eff 68.1% "7k[1]-n3k-448": dict( W=13.0, fov=1, N=7168, Nx=56, yB_size=2432, yN_size=3072, yP_size=3072, xA_size=392, xM_size=448, ), # nfacet=3², eff 68.1% "3584[1]-n1536-448": dict( W=13.0, fov=1, N=3584, Nx=56, yB_size=1216, yN_size=1536, yP_size=1536, xA_size=392, xM_size=448, ), # nfacet=3², eff 68.1% "1792[1]-n768-448": dict( W=13.0, fov=1, N=1792, Nx=56, yB_size=608, yN_size=768, yP_size=768, xA_size=392, xM_size=448, ), # nfacet=3², eff 68.1% "12k[1]-n6k-384": dict( W=10.75, fov=1, N=12288, Nx=3, yB_size=4096, yN_size=6144, yP_size=6144, xA_size=345, xM_size=384, ), # nfacet=3², eff 59.9% "6k[1]-n3k-384": dict( W=10.75, fov=1, N=6144, Nx=3, yB_size=2048, yN_size=3072, yP_size=3072, xA_size=345, xM_size=384, ), # nfacet=3², eff 59.9% "3k[1]-n1536-384": dict( W=10.75, fov=1, N=3072, Nx=3, yB_size=1024, yN_size=1536, yP_size=1536, xA_size=345, xM_size=384, ), # nfacet=3², eff 59.9% "1536[1]-n768-384": dict( W=10.75, fov=1, N=1536, Nx=3, yB_size=512, yN_size=768, yP_size=768, xA_size=345, xM_size=384, ), # nfacet=3², eff 59.9% "10k[1]-n6k-320": dict( W=14.375, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=6144, yP_size=6144, xA_size=276, xM_size=320, ), # nfacet=2², eff 71.9% "5k[1]-n3k-320": dict( W=14.375, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=3072, yP_size=3072, xA_size=276, xM_size=320, ), # nfacet=2², eff 71.9% "2560[1]-n1536-320": dict( W=14.375, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=1536, yP_size=1536, xA_size=276, xM_size=320, ), # nfacet=2², eff 71.9% "1280[1]-n768-320": dict( W=14.375, fov=1, N=1280, Nx=4, yB_size=640, yN_size=768, yP_size=768, xA_size=276, xM_size=320, ), # nfacet=2², eff 71.9% "16k[1]-n12k-256": dict( W=10.75, fov=1, N=16384, Nx=32, yB_size=8192, yN_size=12288, yP_size=12288, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "14k[1]-n10752-256": dict( W=10.75, fov=1, N=14336, Nx=32, yB_size=7168, yN_size=10752, yP_size=10752, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "12k[1]-n9k-256": dict( W=10.75, fov=1, N=12288, Nx=32, yB_size=6144, yN_size=9216, yP_size=9216, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "10k[1]-n7680-256": dict( W=10.75, fov=1, N=10240, Nx=32, yB_size=5120, yN_size=7680, yP_size=7680, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "8k[1]-n6k-256": dict( W=10.75, fov=1, N=8192, Nx=32, yB_size=4096, yN_size=6144, yP_size=6144, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "7k[1]-n5376-256": dict( W=10.75, fov=1, N=7168, Nx=32, yB_size=3584, yN_size=5376, yP_size=5376, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "6k[1]-n4608-256": dict( W=10.75, fov=1, N=6144, Nx=32, yB_size=3072, yN_size=4608, yP_size=4608, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "5k[1]-n3840-256": dict( W=10.75, fov=1, N=5120, Nx=32, yB_size=2560, yN_size=3840, yP_size=3840, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "4k[1]-n3k-256": dict( W=10.75, fov=1, N=4096, Nx=32, yB_size=2048, yN_size=3072, yP_size=3072, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "3584[1]-n2688-256": dict( W=10.75, fov=1, N=3584, Nx=32, yB_size=1792, yN_size=2688, yP_size=2688, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "3k[1]-n2304-256": dict( W=10.75, fov=1, N=3072, Nx=32, yB_size=1536, yN_size=2304, yP_size=2304, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "2560[1]-n1920-256": dict( W=10.75, fov=1, N=2560, Nx=32, yB_size=1280, yN_size=1920, yP_size=1920, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "2k[1]-n1536-256": dict( W=10.75, fov=1, N=2048, Nx=32, yB_size=1024, yN_size=1536, yP_size=1536, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "1792[1]-n1344-256": dict( W=10.75, fov=1, N=1792, Nx=32, yB_size=896, yN_size=1344, yP_size=1344, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "1536[1]-n1152-256": dict( W=10.75, fov=1, N=1536, Nx=32, yB_size=768, yN_size=1152, yP_size=1152, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "1280[1]-n960-256": dict( W=10.75, fov=1, N=1280, Nx=32, yB_size=640, yN_size=960, yP_size=960, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "1k[1]-n768-256": dict( W=10.75, fov=1, N=1024, Nx=32, yB_size=512, yN_size=768, yP_size=768, xA_size=224, xM_size=256, ), # nfacet=2², eff 58.3% "16k[1]-n5k-512": dict( W=13.25, fov=1, N=16384, Nx=8, yB_size=4096, yN_size=5120, yP_size=5120, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "14k[1]-n4480-512": dict( W=13.25, fov=1, N=14336, Nx=8, yB_size=3584, yN_size=4480, yP_size=4480, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "12k[1]-n3840-512": dict( W=13.25, fov=1, N=12288, Nx=8, yB_size=3072, yN_size=3840, yP_size=3840, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "10k[1]-n3200-512": dict( W=13.25, fov=1, N=10240, Nx=8, yB_size=2560, yN_size=3200, yP_size=3200, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "8k[1]-n2560-512": dict( W=13.25, fov=1, N=8192, Nx=8, yB_size=2048, yN_size=2560, yP_size=2560, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "7k[1]-n2240-512": dict( W=13.25, fov=1, N=7168, Nx=8, yB_size=1792, yN_size=2240, yP_size=2240, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "6k[1]-n1920-512": dict( W=13.25, fov=1, N=6144, Nx=8, yB_size=1536, yN_size=1920, yP_size=1920, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "5k[1]-n1600-512": dict( W=13.25, fov=1, N=5120, Nx=8, yB_size=1280, yN_size=1600, yP_size=1600, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "4k[1]-n1280-512": dict( W=13.25, fov=1, N=4096, Nx=8, yB_size=1024, yN_size=1280, yP_size=1280, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "3584[1]-n1120-512": dict( W=13.25, fov=1, N=3584, Nx=8, yB_size=896, yN_size=1120, yP_size=1120, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "3k[1]-n960-512": dict( W=13.25, fov=1, N=3072, Nx=8, yB_size=768, yN_size=960, yP_size=960, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "2560[1]-n800-512": dict( W=13.25, fov=1, N=2560, Nx=8, yB_size=640, yN_size=800, yP_size=800, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "2k[1]-n640-512": dict( W=13.25, fov=1, N=2048, Nx=8, yB_size=512, yN_size=640, yP_size=640, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "1536[1]-n480-512": dict( W=13.25, fov=1, N=1536, Nx=8, yB_size=384, yN_size=480, yP_size=480, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "1k[1]-n320-512": dict( W=13.25, fov=1, N=1024, Nx=8, yB_size=256, yN_size=320, yP_size=320, xA_size=440, xM_size=512, ), # nfacet=4², eff 68.8% "14k[1]-n5k-448": dict( W=11.125, fov=1, N=14336, Nx=56, yB_size=3584, yN_size=5120, yP_size=5120, xA_size=392, xM_size=448, ), # nfacet=4², eff 61.2% "7k[1]-n2560-448": dict( W=11.125, fov=1, N=7168, Nx=56, yB_size=1792, yN_size=2560, yP_size=2560, xA_size=392, xM_size=448, ), # nfacet=4², eff 61.2% "3584[1]-n1280-448": dict( W=11.125, fov=1, N=3584, Nx=56, yB_size=896, yN_size=1280, yP_size=1280, xA_size=392, xM_size=448, ), # nfacet=4², eff 61.2% "1792[1]-n640-448": dict( W=11.125, fov=1, N=1792, Nx=56, yB_size=448, yN_size=640, yP_size=640, xA_size=392, xM_size=448, ), # nfacet=4², eff 61.2% "12k[1]-n5k-384": dict( W=13.25, fov=1, N=12288, Nx=6, yB_size=4096, yN_size=5120, yP_size=5120, xA_size=330, xM_size=384, ), # nfacet=3², eff 68.8% "6k[1]-n2560-384": dict( W=13.25, fov=1, N=6144, Nx=6, yB_size=2048, yN_size=2560, yP_size=2560, xA_size=330, xM_size=384, ), # nfacet=3², eff 68.8% "3k[1]-n1280-384": dict( W=13.25, fov=1, N=3072, Nx=6, yB_size=1024, yN_size=1280, yP_size=1280, xA_size=330, xM_size=384, ), # nfacet=3², eff 68.8% "1536[1]-n640-384": dict( W=13.25, fov=1, N=1536, Nx=6, yB_size=512, yN_size=640, yP_size=640, xA_size=330, xM_size=384, ), # nfacet=3², eff 68.8% "10k[1]-n5k-320": dict( W=11.125, fov=1, N=10240, Nx=40, yB_size=3584, yN_size=5120, yP_size=5120, xA_size=280, xM_size=320, ), # nfacet=3², eff 58.3% "5k[1]-n2560-320": dict( W=11.125, fov=1, N=5120, Nx=40, yB_size=1792, yN_size=2560, yP_size=2560, xA_size=280, xM_size=320, ), # nfacet=3², eff 58.3% "2560[1]-n1280-320": dict( W=11.125, fov=1, N=2560, Nx=40, yB_size=896, yN_size=1280, yP_size=1280, xA_size=280, xM_size=320, ), # nfacet=3², eff 58.3% "1280[1]-n640-320": dict( W=11.125, fov=1, N=1280, Nx=40, yB_size=448, yN_size=640, yP_size=640, xA_size=280, xM_size=320, ), # nfacet=3², eff 58.3% "16k[1]-n10k-256": dict( W=13.25, fov=1, N=16384, Nx=4, yB_size=8192, yN_size=10240, yP_size=10240, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "14k[1]-n8960-256": dict( W=13.25, fov=1, N=14336, Nx=4, yB_size=7168, yN_size=8960, yP_size=8960, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "12k[1]-n7680-256": dict( W=13.25, fov=1, N=12288, Nx=4, yB_size=6144, yN_size=7680, yP_size=7680, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "10k[1]-n6400-256": dict( W=13.25, fov=1, N=10240, Nx=4, yB_size=5120, yN_size=6400, yP_size=6400, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "8k[1]-n5k-256": dict( W=13.25, fov=1, N=8192, Nx=4, yB_size=4096, yN_size=5120, yP_size=5120, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "7k[1]-n4480-256": dict( W=13.25, fov=1, N=7168, Nx=4, yB_size=3584, yN_size=4480, yP_size=4480, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "6k[1]-n3840-256": dict( W=13.25, fov=1, N=6144, Nx=4, yB_size=3072, yN_size=3840, yP_size=3840, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "5k[1]-n3200-256": dict( W=13.25, fov=1, N=5120, Nx=4, yB_size=2560, yN_size=3200, yP_size=3200, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "4k[1]-n2560-256": dict( W=13.25, fov=1, N=4096, Nx=4, yB_size=2048, yN_size=2560, yP_size=2560, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "3584[1]-n2240-256": dict( W=13.25, fov=1, N=3584, Nx=4, yB_size=1792, yN_size=2240, yP_size=2240, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "3k[1]-n1920-256": dict( W=13.25, fov=1, N=3072, Nx=4, yB_size=1536, yN_size=1920, yP_size=1920, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "2560[1]-n1600-256": dict( W=13.25, fov=1, N=2560, Nx=4, yB_size=1280, yN_size=1600, yP_size=1600, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "2k[1]-n1280-256": dict( W=13.25, fov=1, N=2048, Nx=4, yB_size=1024, yN_size=1280, yP_size=1280, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "1792[1]-n1120-256": dict( W=13.25, fov=1, N=1792, Nx=4, yB_size=896, yN_size=1120, yP_size=1120, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "1536[1]-n960-256": dict( W=13.25, fov=1, N=1536, Nx=4, yB_size=768, yN_size=960, yP_size=960, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "1280[1]-n800-256": dict( W=13.25, fov=1, N=1280, Nx=4, yB_size=640, yN_size=800, yP_size=800, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "1k[1]-n640-256": dict( W=13.25, fov=1, N=1024, Nx=4, yB_size=512, yN_size=640, yP_size=640, xA_size=220, xM_size=256, ), # nfacet=2², eff 68.8% "96k[1]-n24k-512": dict( W=13.625, fov=1, N=98304, Nx=64, yB_size=19968, yN_size=32768, yP_size=32768, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "64k[1]-n16k-512": dict( W=13.625, fov=1, N=65536, Nx=64, yB_size=13312, yN_size=16384, yP_size=16384, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "32k[1]-n8k-512": dict( W=13.625, fov=1, N=32768, Nx=64, yB_size=6656, yN_size=8192, yP_size=8192, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "16k[1]-n4k-512": dict( W=13.625, fov=1, N=16384, Nx=64, yB_size=3328, yN_size=4096, yP_size=4096, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "14k[1]-n3584-512": dict( W=13.625, fov=1, N=14336, Nx=64, yB_size=2912, yN_size=3584, yP_size=3584, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "12k[1]-n3k-512": dict( W=13.625, fov=1, N=12288, Nx=64, yB_size=2496, yN_size=3072, yP_size=3072, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "10k[1]-n2560-512": dict( W=13.625, fov=1, N=10240, Nx=64, yB_size=2080, yN_size=2560, yP_size=2560, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "8k[1]-n2k-512": dict( W=13.625, fov=1, N=8192, Nx=64, yB_size=1664, yN_size=2048, yP_size=2048, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "7k[1]-n1792-512": dict( W=13.625, fov=1, N=7168, Nx=64, yB_size=1456, yN_size=1792, yP_size=1792, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "6k[1]-n1536-512": dict( W=13.625, fov=1, N=6144, Nx=64, yB_size=1248, yN_size=1536, yP_size=1536, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "5k[1]-n1280-512": dict( W=13.625, fov=1, N=5120, Nx=64, yB_size=1040, yN_size=1280, yP_size=1280, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "4k[1]-n1k-512": dict( W=13.625, fov=1, N=4096, Nx=64, yB_size=832, yN_size=1024, yP_size=1024, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "3584[1]-n896-512": dict( W=13.625, fov=1, N=3584, Nx=64, yB_size=728, yN_size=896, yP_size=896, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "3k[1]-n768-512": dict( W=13.625, fov=1, N=3072, Nx=64, yB_size=624, yN_size=768, yP_size=768, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "2560[1]-n640-512": dict( W=13.625, fov=1, N=2560, Nx=64, yB_size=520, yN_size=640, yP_size=640, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "2k[1]-n512-512": dict( W=13.625, fov=1, N=2048, Nx=64, yB_size=416, yN_size=512, yP_size=512, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "1536[1]-n384-512": dict( W=13.625, fov=1, N=1536, Nx=64, yB_size=312, yN_size=384, yP_size=384, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "1k[1]-n256-512": dict( W=13.625, fov=1, N=1024, Nx=64, yB_size=208, yN_size=256, yP_size=256, xA_size=320, xM_size=512, ), # nfacet=5², eff 50.0% "14k[1]-n4k-448": dict( W=16.5, fov=1, N=14336, Nx=8, yB_size=3584, yN_size=4096, yP_size=4096, xA_size=344, xM_size=448, ), # nfacet=4², eff 67.2% "7k[1]-n2k-448": dict( W=16.5, fov=1, N=7168, Nx=8, yB_size=1792, yN_size=2048, yP_size=2048, xA_size=344, xM_size=448, ), # nfacet=4², eff 67.2% "3584[1]-n1k-448": dict( W=16.5, fov=1, N=3584, Nx=8, yB_size=896, yN_size=1024, yP_size=1024, xA_size=344, xM_size=448, ), # nfacet=4², eff 67.2% "1792[1]-n512-448": dict( W=16.5, fov=1, N=1792, Nx=8, yB_size=448, yN_size=512, yP_size=512, xA_size=344, xM_size=448, ), # nfacet=4², eff 67.2% "12k[1]-n4k-384": dict( W=12.0, fov=1, N=12288, Nx=8, yB_size=3072, yN_size=4096, yP_size=4096, xA_size=296, xM_size=384, ), # nfacet=4², eff 57.8% "6k[1]-n2k-384": dict( W=12.0, fov=1, N=6144, Nx=8, yB_size=1536, yN_size=2048, yP_size=2048, xA_size=296, xM_size=384, ), # nfacet=4², eff 57.8% "3k[1]-n1k-384": dict( W=12.0, fov=1, N=3072, Nx=8, yB_size=768, yN_size=1024, yP_size=1024, xA_size=296, xM_size=384, ), # nfacet=4², eff 57.8% "1536[1]-n512-384": dict( W=12.0, fov=1, N=1536, Nx=8, yB_size=384, yN_size=512, yP_size=512, xA_size=296, xM_size=384, ), # nfacet=4², eff 57.8% "10k[1]-n4k-320": dict( W=15.625, fov=1, N=10240, Nx=64, yB_size=3520, yN_size=4096, yP_size=4096, xA_size=256, xM_size=320, ), # nfacet=3², eff 66.7% "5k[1]-n2k-320": dict( W=15.625, fov=1, N=5120, Nx=64, yB_size=1760, yN_size=2048, yP_size=2048, xA_size=256, xM_size=320, ), # nfacet=3², eff 66.7% "2560[1]-n1k-320": dict( W=15.625, fov=1, N=2560, Nx=64, yB_size=880, yN_size=1024, yP_size=1024, xA_size=256, xM_size=320, ), # nfacet=3², eff 66.7% "1280[1]-n512-320": dict( W=15.625, fov=1, N=1280, Nx=64, yB_size=440, yN_size=512, yP_size=512, xA_size=256, xM_size=320, ), # nfacet=3², eff 66.7% "16k[1]-n8k-256": dict( W=11.0, fov=1, N=16384, Nx=32, yB_size=5632, yN_size=8192, yP_size=8192, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "14k[1]-n7k-256": dict( W=11.0, fov=1, N=14336, Nx=32, yB_size=4928, yN_size=7168, yP_size=7168, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "12k[1]-n6k-256": dict( W=11.0, fov=1, N=12288, Nx=32, yB_size=4224, yN_size=6144, yP_size=6144, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "10k[1]-n5k-256": dict( W=11.0, fov=1, N=10240, Nx=32, yB_size=3520, yN_size=5120, yP_size=5120, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "8k[1]-n4k-256": dict( W=11.0, fov=1, N=8192, Nx=32, yB_size=2816, yN_size=4096, yP_size=4096, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "7k[1]-n3584-256": dict( W=11.0, fov=1, N=7168, Nx=32, yB_size=2464, yN_size=3584, yP_size=3584, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "6k[1]-n3k-256": dict( W=11.0, fov=1, N=6144, Nx=32, yB_size=2112, yN_size=3072, yP_size=3072, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "5k[1]-n2560-256": dict( W=11.0, fov=1, N=5120, Nx=32, yB_size=1760, yN_size=2560, yP_size=2560, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "4k[1]-n2k-256": dict( W=11.0, fov=1, N=4096, Nx=32, yB_size=1408, yN_size=2048, yP_size=2048, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "3584[1]-n1792-256": dict( W=11.0, fov=1, N=3584, Nx=32, yB_size=1232, yN_size=1792, yP_size=1792, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "3k[1]-n1536-256": dict( W=11.0, fov=1, N=3072, Nx=32, yB_size=1056, yN_size=1536, yP_size=1536, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "2560[1]-n1280-256": dict( W=11.0, fov=1, N=2560, Nx=32, yB_size=880, yN_size=1280, yP_size=1280, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "2k[1]-n1k-256": dict( W=11.0, fov=1, N=2048, Nx=32, yB_size=704, yN_size=1024, yP_size=1024, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "1792[1]-n896-256": dict( W=11.0, fov=1, N=1792, Nx=32, yB_size=616, yN_size=896, yP_size=896, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "1536[1]-n768-256": dict( W=11.0, fov=1, N=1536, Nx=32, yB_size=528, yN_size=768, yP_size=768, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "1280[1]-n640-256": dict( W=11.0, fov=1, N=1280, Nx=32, yB_size=440, yN_size=640, yP_size=640, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "1k[1]-n512-256": dict( W=11.0, fov=1, N=1024, Nx=32, yB_size=352, yN_size=512, yP_size=512, xA_size=160, xM_size=256, ), # nfacet=3², eff 41.7% "16k[1]-8k-512": dict( W=17.0, fov=1, N=16384, Nx=32, yB_size=4096, yN_size=4640, yP_size=8192, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "14k[1]-7k-512": dict( W=17.0, fov=1, N=14336, Nx=32, yB_size=3584, yN_size=4060, yP_size=7168, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "12k[1]-6k-512": dict( W=17.0, fov=1, N=12288, Nx=32, yB_size=3072, yN_size=3480, yP_size=6144, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "10k[1]-5k-512": dict( W=17.0, fov=1, N=10240, Nx=32, yB_size=2560, yN_size=2900, yP_size=5120, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "8k[1]-4k-512": dict( W=17.0, fov=1, N=8192, Nx=32, yB_size=2048, yN_size=2320, yP_size=4096, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "7k[1]-3584-512": dict( W=17.0, fov=1, N=7168, Nx=32, yB_size=1792, yN_size=2030, yP_size=3584, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "6k[1]-3k-512": dict( W=17.0, fov=1, N=6144, Nx=32, yB_size=1536, yN_size=1740, yP_size=3072, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "5k[1]-2560-512": dict( W=17.0, fov=1, N=5120, Nx=32, yB_size=1280, yN_size=1450, yP_size=2560, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "4k[1]-2k-512": dict( W=17.0, fov=1, N=4096, Nx=32, yB_size=1024, yN_size=1160, yP_size=2048, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "3584[1]-1792-512": dict( W=17.0, fov=1, N=3584, Nx=32, yB_size=896, yN_size=1015, yP_size=1792, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "3k[1]-1536-512": dict( W=17.0, fov=1, N=3072, Nx=32, yB_size=768, yN_size=870, yP_size=1536, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "2560[1]-1280-512": dict( W=17.0, fov=1, N=2560, Nx=32, yB_size=640, yN_size=725, yP_size=1280, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "2k[1]-1k-512": dict( W=17.0, fov=1, N=2048, Nx=32, yB_size=512, yN_size=580, yP_size=1024, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "1536[1]-768-512": dict( W=17.0, fov=1, N=1536, Nx=32, yB_size=384, yN_size=435, yP_size=768, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "1k[1]-512-512": dict( W=17.0, fov=1, N=1024, Nx=32, yB_size=256, yN_size=290, yP_size=512, xA_size=352, xM_size=512, ), # nfacet=4², eff 60.7% "14k[1]-8k-448": dict( W=16.5, fov=1, N=14336, Nx=64, yB_size=3584, yN_size=4096, yP_size=8192, xA_size=320, xM_size=448, ), # nfacet=4², eff 62.5% "7k[1]-4k-448": dict( W=16.5, fov=1, N=7168, Nx=64, yB_size=1792, yN_size=2048, yP_size=4096, xA_size=320, xM_size=448, ), # nfacet=4², eff 62.5% "3584[1]-2k-448": dict( W=16.5, fov=1, N=3584, Nx=64, yB_size=896, yN_size=1024, yP_size=2048, xA_size=320, xM_size=448, ), # nfacet=4², eff 62.5% "1792[1]-1k-448": dict( W=16.5, fov=1, N=1792, Nx=64, yB_size=448, yN_size=512, yP_size=1024, xA_size=320, xM_size=448, ), # nfacet=4², eff 62.5% "12k[1]-8k-384": dict( W=16.875, fov=1, N=12288, Nx=24, yB_size=3072, yN_size=3488, yP_size=8192, xA_size=264, xM_size=384, ), # nfacet=4², eff 60.6% "6k[1]-4k-384": dict( W=16.875, fov=1, N=6144, Nx=24, yB_size=1536, yN_size=1744, yP_size=4096, xA_size=264, xM_size=384, ), # nfacet=4², eff 60.6% "3k[1]-2k-384": dict( W=16.875, fov=1, N=3072, Nx=24, yB_size=768, yN_size=872, yP_size=2048, xA_size=264, xM_size=384, ), # nfacet=4², eff 60.6% "1536[1]-1k-384": dict( W=16.875, fov=1, N=1536, Nx=24, yB_size=384, yN_size=436, yP_size=1024, xA_size=264, xM_size=384, ), # nfacet=4², eff 60.6% "10k[1]-8k-320": dict( W=16.125, fov=1, N=10240, Nx=8, yB_size=2560, yN_size=2944, yP_size=8192, xA_size=216, xM_size=320, ), # nfacet=4², eff 58.7% "5k[1]-4k-320": dict( W=16.125, fov=1, N=5120, Nx=8, yB_size=1280, yN_size=1472, yP_size=4096, xA_size=216, xM_size=320, ), # nfacet=4², eff 58.7% "2560[1]-2k-320": dict( W=16.125, fov=1, N=2560, Nx=8, yB_size=640, yN_size=736, yP_size=2048, xA_size=216, xM_size=320, ), # nfacet=4², eff 58.7% "1280[1]-1k-320": dict( W=16.125, fov=1, N=1280, Nx=8, yB_size=320, yN_size=368, yP_size=1024, xA_size=216, xM_size=320, ), # nfacet=4², eff 58.7% "16k[1]-16k-256": dict( W=17.0, fov=1, N=16384, Nx=16, yB_size=8192, yN_size=9280, yP_size=16384, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "14k[1]-14k-256": dict( W=17.0, fov=1, N=14336, Nx=16, yB_size=7168, yN_size=8120, yP_size=14336, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "12k[1]-12k-256": dict( W=17.0, fov=1, N=12288, Nx=16, yB_size=6144, yN_size=6960, yP_size=12288, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "10k[1]-10k-256": dict( W=17.0, fov=1, N=10240, Nx=16, yB_size=5120, yN_size=5800, yP_size=10240, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "8k[1]-8k-256": dict( W=17.0, fov=1, N=8192, Nx=16, yB_size=4096, yN_size=4640, yP_size=8192, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "7k[1]-7k-256": dict( W=17.0, fov=1, N=7168, Nx=16, yB_size=3584, yN_size=4060, yP_size=7168, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "6k[1]-6k-256": dict( W=17.0, fov=1, N=6144, Nx=16, yB_size=3072, yN_size=3480, yP_size=6144, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "5k[1]-5k-256": dict( W=17.0, fov=1, N=5120, Nx=16, yB_size=2560, yN_size=2900, yP_size=5120, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "4k[1]-4k-256": dict( W=17.0, fov=1, N=4096, Nx=16, yB_size=2048, yN_size=2320, yP_size=4096, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "3584[1]-3584-256": dict( W=17.0, fov=1, N=3584, Nx=16, yB_size=1792, yN_size=2030, yP_size=3584, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "3k[1]-3k-256": dict( W=17.0, fov=1, N=3072, Nx=16, yB_size=1536, yN_size=1740, yP_size=3072, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "2560[1]-2560-256": dict( W=17.0, fov=1, N=2560, Nx=16, yB_size=1280, yN_size=1450, yP_size=2560, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "2k[1]-2k-256": dict( W=17.0, fov=1, N=2048, Nx=16, yB_size=1024, yN_size=1160, yP_size=2048, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "1792[1]-1792-256": dict( W=17.0, fov=1, N=1792, Nx=16, yB_size=896, yN_size=1015, yP_size=1792, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "1536[1]-1536-256": dict( W=17.0, fov=1, N=1536, Nx=16, yB_size=768, yN_size=870, yP_size=1536, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "1280[1]-1280-256": dict( W=17.0, fov=1, N=1280, Nx=16, yB_size=640, yN_size=725, yP_size=1280, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "1k[1]-1k-256": dict( W=17.0, fov=1, N=1024, Nx=16, yB_size=512, yN_size=580, yP_size=1024, xA_size=176, xM_size=256, ), # nfacet=2², eff 60.7% "16k[1]-7k-512": dict( W=15.875, fov=1, N=16384, Nx=32, yB_size=4096, yN_size=4736, yP_size=7168, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "14k[1]-6272-512": dict( W=15.875, fov=1, N=14336, Nx=32, yB_size=3584, yN_size=4144, yP_size=6272, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "12k[1]-5376-512": dict( W=15.875, fov=1, N=12288, Nx=32, yB_size=3072, yN_size=3552, yP_size=5376, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "10k[1]-4480-512": dict( W=15.875, fov=1, N=10240, Nx=32, yB_size=2560, yN_size=2960, yP_size=4480, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "8k[1]-3584-512": dict( W=15.875, fov=1, N=8192, Nx=32, yB_size=2048, yN_size=2368, yP_size=3584, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "7k[1]-3136-512": dict( W=15.875, fov=1, N=7168, Nx=32, yB_size=1792, yN_size=2072, yP_size=3136, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "6k[1]-2688-512": dict( W=15.875, fov=1, N=6144, Nx=32, yB_size=1536, yN_size=1776, yP_size=2688, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "5k[1]-2240-512": dict( W=15.875, fov=1, N=5120, Nx=32, yB_size=1280, yN_size=1480, yP_size=2240, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "4k[1]-1792-512": dict( W=15.875, fov=1, N=4096, Nx=32, yB_size=1024, yN_size=1184, yP_size=1792, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "3584[1]-1568-512": dict( W=15.875, fov=1, N=3584, Nx=32, yB_size=896, yN_size=1036, yP_size=1568, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "3k[1]-1344-512": dict( W=15.875, fov=1, N=3072, Nx=32, yB_size=768, yN_size=888, yP_size=1344, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "2560[1]-1120-512": dict( W=15.875, fov=1, N=2560, Nx=32, yB_size=640, yN_size=740, yP_size=1120, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "2k[1]-896-512": dict( W=15.875, fov=1, N=2048, Nx=32, yB_size=512, yN_size=592, yP_size=896, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "1536[1]-672-512": dict( W=15.875, fov=1, N=1536, Nx=32, yB_size=384, yN_size=444, yP_size=672, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "1k[1]-448-512": dict( W=15.875, fov=1, N=1024, Nx=32, yB_size=256, yN_size=296, yP_size=448, xA_size=416, xM_size=512, ), # nfacet=4², eff 70.3% "14k[1]-7k-448": dict( W=15.875, fov=1, N=14336, Nx=28, yB_size=2048, yN_size=2368, yP_size=7168, xA_size=252, xM_size=448, ), # nfacet=7², eff 48.6% "7k[1]-3584-448": dict( W=15.875, fov=1, N=7168, Nx=28, yB_size=1024, yN_size=1184, yP_size=3584, xA_size=252, xM_size=448, ), # nfacet=7², eff 48.6% "3584[1]-1792-448": dict( W=15.875, fov=1, N=3584, Nx=28, yB_size=512, yN_size=592, yP_size=1792, xA_size=252, xM_size=448, ), # nfacet=7², eff 48.6% "1792[1]-896-448": dict( W=15.875, fov=1, N=1792, Nx=28, yB_size=256, yN_size=296, yP_size=896, xA_size=252, xM_size=448, ), # nfacet=7², eff 48.6% "12k[1]-7k-384": dict( W=15.875, fov=1, N=12288, Nx=3, yB_size=4096, yN_size=4736, yP_size=7168, xA_size=315, xM_size=384, ), # nfacet=3², eff 70.9% "6k[1]-3584-384": dict( W=15.875, fov=1, N=6144, Nx=3, yB_size=2048, yN_size=2368, yP_size=3584, xA_size=315, xM_size=384, ), # nfacet=3², eff 70.9% "3k[1]-1792-384": dict( W=15.875, fov=1, N=3072, Nx=3, yB_size=1024, yN_size=1184, yP_size=1792, xA_size=315, xM_size=384, ), # nfacet=3², eff 70.9% "1536[1]-896-384": dict( W=15.875, fov=1, N=1536, Nx=3, yB_size=512, yN_size=592, yP_size=896, xA_size=315, xM_size=384, ), # nfacet=3², eff 70.9% "10k[1]-7k-320": dict( W=15.875, fov=1, N=10240, Nx=20, yB_size=2048, yN_size=2368, yP_size=7168, xA_size=180, xM_size=320, ), # nfacet=5², eff 48.6% "5k[1]-3584-320": dict( W=15.875, fov=1, N=5120, Nx=20, yB_size=1024, yN_size=1184, yP_size=3584, xA_size=180, xM_size=320, ), # nfacet=5², eff 48.6% "2560[1]-1792-320": dict( W=15.875, fov=1, N=2560, Nx=20, yB_size=512, yN_size=592, yP_size=1792, xA_size=180, xM_size=320, ), # nfacet=5², eff 48.6% "1280[1]-896-320": dict( W=15.875, fov=1, N=1280, Nx=20, yB_size=256, yN_size=296, yP_size=896, xA_size=180, xM_size=320, ), # nfacet=5², eff 48.6% "16k[1]-14k-256": dict( W=15.875, fov=1, N=16384, Nx=16, yB_size=8192, yN_size=9472, yP_size=14336, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "14k[1]-12544-256": dict( W=15.875, fov=1, N=14336, Nx=16, yB_size=7168, yN_size=8288, yP_size=12544, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "12k[1]-10752-256": dict( W=15.875, fov=1, N=12288, Nx=16, yB_size=6144, yN_size=7104, yP_size=10752, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "10k[1]-8960-256": dict( W=15.875, fov=1, N=10240, Nx=16, yB_size=5120, yN_size=5920, yP_size=8960, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "8k[1]-7k-256": dict( W=15.875, fov=1, N=8192, Nx=16, yB_size=4096, yN_size=4736, yP_size=7168, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "7k[1]-6272-256": dict( W=15.875, fov=1, N=7168, Nx=16, yB_size=3584, yN_size=4144, yP_size=6272, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "6k[1]-5376-256": dict( W=15.875, fov=1, N=6144, Nx=16, yB_size=3072, yN_size=3552, yP_size=5376, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "5k[1]-4480-256": dict( W=15.875, fov=1, N=5120, Nx=16, yB_size=2560, yN_size=2960, yP_size=4480, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "4k[1]-3584-256": dict( W=15.875, fov=1, N=4096, Nx=16, yB_size=2048, yN_size=2368, yP_size=3584, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "3584[1]-3136-256": dict( W=15.875, fov=1, N=3584, Nx=16, yB_size=1792, yN_size=2072, yP_size=3136, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "3k[1]-2688-256": dict( W=15.875, fov=1, N=3072, Nx=16, yB_size=1536, yN_size=1776, yP_size=2688, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "2560[1]-2240-256": dict( W=15.875, fov=1, N=2560, Nx=16, yB_size=1280, yN_size=1480, yP_size=2240, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "2k[1]-1792-256": dict( W=15.875, fov=1, N=2048, Nx=16, yB_size=1024, yN_size=1184, yP_size=1792, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "1792[1]-1568-256": dict( W=15.875, fov=1, N=1792, Nx=16, yB_size=896, yN_size=1036, yP_size=1568, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "1536[1]-1344-256": dict( W=15.875, fov=1, N=1536, Nx=16, yB_size=768, yN_size=888, yP_size=1344, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "1280[1]-1120-256": dict( W=15.875, fov=1, N=1280, Nx=16, yB_size=640, yN_size=740, yP_size=1120, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "1k[1]-896-256": dict( W=15.875, fov=1, N=1024, Nx=16, yB_size=512, yN_size=592, yP_size=896, xA_size=208, xM_size=256, ), # nfacet=2², eff 70.3% "16k[1]-6k-512": dict( W=15.25, fov=1, N=16384, Nx=16, yB_size=2048, yN_size=2400, yP_size=6144, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "14k[1]-5376-512": dict( W=15.25, fov=1, N=14336, Nx=16, yB_size=1792, yN_size=2100, yP_size=5376, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "12k[1]-4608-512": dict( W=15.25, fov=1, N=12288, Nx=16, yB_size=1536, yN_size=1800, yP_size=4608, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "10k[1]-3840-512": dict( W=15.25, fov=1, N=10240, Nx=16, yB_size=1280, yN_size=1500, yP_size=3840, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "8k[1]-3k-512": dict( W=15.25, fov=1, N=8192, Nx=16, yB_size=1024, yN_size=1200, yP_size=3072, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "7k[1]-2688-512": dict( W=15.25, fov=1, N=7168, Nx=16, yB_size=896, yN_size=1050, yP_size=2688, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "6k[1]-2304-512": dict( W=15.25, fov=1, N=6144, Nx=16, yB_size=768, yN_size=900, yP_size=2304, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "5k[1]-1920-512": dict( W=15.25, fov=1, N=5120, Nx=16, yB_size=640, yN_size=750, yP_size=1920, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "4k[1]-1536-512": dict( W=15.25, fov=1, N=4096, Nx=16, yB_size=512, yN_size=600, yP_size=1536, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "3584[1]-1344-512": dict( W=15.25, fov=1, N=3584, Nx=16, yB_size=448, yN_size=525, yP_size=1344, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "3k[1]-1152-512": dict( W=15.25, fov=1, N=3072, Nx=16, yB_size=384, yN_size=450, yP_size=1152, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "2560[1]-960-512": dict( W=15.25, fov=1, N=2560, Nx=16, yB_size=320, yN_size=375, yP_size=960, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "2k[1]-768-512": dict( W=15.25, fov=1, N=2048, Nx=16, yB_size=256, yN_size=300, yP_size=768, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "1536[1]-576-512": dict( W=15.25, fov=1, N=1536, Nx=16, yB_size=192, yN_size=225, yP_size=576, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "1k[1]-384-512": dict( W=15.25, fov=1, N=1024, Nx=16, yB_size=128, yN_size=150, yP_size=384, xA_size=336, xM_size=512, ), # nfacet=8², eff 56.0% "14k[1]-6k-448": dict( W=15.25, fov=1, N=14336, Nx=7, yB_size=2048, yN_size=2400, yP_size=6144, xA_size=301, xM_size=448, ), # nfacet=7², eff 57.3% "7k[1]-3k-448": dict( W=15.25, fov=1, N=7168, Nx=7, yB_size=1024, yN_size=1200, yP_size=3072, xA_size=301, xM_size=448, ), # nfacet=7², eff 57.3% "3584[1]-1536-448": dict( W=15.25, fov=1, N=3584, Nx=7, yB_size=512, yN_size=600, yP_size=1536, xA_size=301, xM_size=448, ), # nfacet=7², eff 57.3% "1792[1]-768-448": dict( W=15.25, fov=1, N=1792, Nx=7, yB_size=256, yN_size=300, yP_size=768, xA_size=301, xM_size=448, ), # nfacet=7², eff 57.3% "12k[1]-6k-384": dict( W=14.75, fov=1, N=12288, Nx=16, yB_size=3072, yN_size=3648, yP_size=6144, xA_size=304, xM_size=384, ), # nfacet=4², eff 66.7% "6k[1]-3k-384": dict( W=14.75, fov=1, N=6144, Nx=16, yB_size=1536, yN_size=1824, yP_size=3072, xA_size=304, xM_size=384, ), # nfacet=4², eff 66.7% "3k[1]-1536-384": dict( W=14.75, fov=1, N=3072, Nx=16, yB_size=768, yN_size=912, yP_size=1536, xA_size=304, xM_size=384, ), # nfacet=4², eff 66.7% "1536[1]-768-384": dict( W=14.75, fov=1, N=1536, Nx=16, yB_size=384, yN_size=456, yP_size=768, xA_size=304, xM_size=384, ), # nfacet=4², eff 66.7% "10k[1]-6k-320": dict( W=15.25, fov=1, N=10240, Nx=5, yB_size=2048, yN_size=2400, yP_size=6144, xA_size=215, xM_size=320, ), # nfacet=5², eff 57.3% "5k[1]-3k-320": dict( W=15.25, fov=1, N=5120, Nx=5, yB_size=1024, yN_size=1200, yP_size=3072, xA_size=215, xM_size=320, ), # nfacet=5², eff 57.3% "2560[1]-1536-320": dict( W=15.25, fov=1, N=2560, Nx=5, yB_size=512, yN_size=600, yP_size=1536, xA_size=215, xM_size=320, ), # nfacet=5², eff 57.3% "1280[1]-768-320": dict( W=15.25, fov=1, N=1280, Nx=5, yB_size=256, yN_size=300, yP_size=768, xA_size=215, xM_size=320, ), # nfacet=5², eff 57.3% "16k[1]-12k-256": dict( W=15.25, fov=1, N=16384, Nx=8, yB_size=4096, yN_size=4800, yP_size=12288, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "14k[1]-10752-256": dict( W=15.25, fov=1, N=14336, Nx=8, yB_size=3584, yN_size=4200, yP_size=10752, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "12k[1]-9k-256": dict( W=15.25, fov=1, N=12288, Nx=8, yB_size=3072, yN_size=3600, yP_size=9216, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "10k[1]-7680-256": dict( W=15.25, fov=1, N=10240, Nx=8, yB_size=2560, yN_size=3000, yP_size=7680, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "8k[1]-6k-256": dict( W=15.25, fov=1, N=8192, Nx=8, yB_size=2048, yN_size=2400, yP_size=6144, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "7k[1]-5376-256": dict( W=15.25, fov=1, N=7168, Nx=8, yB_size=1792, yN_size=2100, yP_size=5376, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "6k[1]-4608-256": dict( W=15.25, fov=1, N=6144, Nx=8, yB_size=1536, yN_size=1800, yP_size=4608, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "5k[1]-3840-256": dict( W=15.25, fov=1, N=5120, Nx=8, yB_size=1280, yN_size=1500, yP_size=3840, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "4k[1]-3k-256": dict( W=15.25, fov=1, N=4096, Nx=8, yB_size=1024, yN_size=1200, yP_size=3072, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "3584[1]-2688-256": dict( W=15.25, fov=1, N=3584, Nx=8, yB_size=896, yN_size=1050, yP_size=2688, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "3k[1]-2304-256": dict( W=15.25, fov=1, N=3072, Nx=8, yB_size=768, yN_size=900, yP_size=2304, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "2560[1]-1920-256": dict( W=15.25, fov=1, N=2560, Nx=8, yB_size=640, yN_size=750, yP_size=1920, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "2k[1]-1536-256": dict( W=15.25, fov=1, N=2048, Nx=8, yB_size=512, yN_size=600, yP_size=1536, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "1792[1]-1344-256": dict( W=15.25, fov=1, N=1792, Nx=8, yB_size=448, yN_size=525, yP_size=1344, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "1536[1]-1152-256": dict( W=15.25, fov=1, N=1536, Nx=8, yB_size=384, yN_size=450, yP_size=1152, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "1280[1]-960-256": dict( W=15.25, fov=1, N=1280, Nx=8, yB_size=320, yN_size=375, yP_size=960, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "1k[1]-768-256": dict( W=15.25, fov=1, N=1024, Nx=8, yB_size=256, yN_size=300, yP_size=768, xA_size=168, xM_size=256, ), # nfacet=4², eff 56.0% "16k[1]-5k-512": dict( W=14.75, fov=1, N=16384, Nx=16, yB_size=2048, yN_size=2432, yP_size=5120, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "14k[1]-4480-512": dict( W=14.75, fov=1, N=14336, Nx=16, yB_size=1792, yN_size=2128, yP_size=4480, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "12k[1]-3840-512": dict( W=14.75, fov=1, N=12288, Nx=16, yB_size=1536, yN_size=1824, yP_size=3840, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "10k[1]-3200-512": dict( W=14.75, fov=1, N=10240, Nx=16, yB_size=1280, yN_size=1520, yP_size=3200, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "8k[1]-2560-512": dict( W=14.75, fov=1, N=8192, Nx=16, yB_size=1024, yN_size=1216, yP_size=2560, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "7k[1]-2240-512": dict( W=14.75, fov=1, N=7168, Nx=16, yB_size=896, yN_size=1064, yP_size=2240, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "6k[1]-1920-512": dict( W=14.75, fov=1, N=6144, Nx=16, yB_size=768, yN_size=912, yP_size=1920, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "5k[1]-1600-512": dict( W=14.75, fov=1, N=5120, Nx=16, yB_size=640, yN_size=760, yP_size=1600, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "4k[1]-1280-512": dict( W=14.75, fov=1, N=4096, Nx=16, yB_size=512, yN_size=608, yP_size=1280, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "3584[1]-1120-512": dict( W=14.75, fov=1, N=3584, Nx=16, yB_size=448, yN_size=532, yP_size=1120, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "3k[1]-960-512": dict( W=14.75, fov=1, N=3072, Nx=16, yB_size=384, yN_size=456, yP_size=960, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "2560[1]-800-512": dict( W=14.75, fov=1, N=2560, Nx=16, yB_size=320, yN_size=380, yP_size=800, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "2k[1]-640-512": dict( W=14.75, fov=1, N=2048, Nx=16, yB_size=256, yN_size=304, yP_size=640, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "1536[1]-480-512": dict( W=14.75, fov=1, N=1536, Nx=16, yB_size=192, yN_size=228, yP_size=480, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "1k[1]-320-512": dict( W=14.75, fov=1, N=1024, Nx=16, yB_size=128, yN_size=152, yP_size=320, xA_size=336, xM_size=512, ), # nfacet=8², eff 55.3% "14k[1]-5k-448": dict( W=14.0, fov=1, N=14336, Nx=16, yB_size=1792, yN_size=2176, yP_size=5120, xA_size=272, xM_size=448, ), # nfacet=8², eff 50.0% "7k[1]-2560-448": dict( W=14.0, fov=1, N=7168, Nx=16, yB_size=896, yN_size=1088, yP_size=2560, xA_size=272, xM_size=448, ), # nfacet=8², eff 50.0% "3584[1]-1280-448": dict( W=14.0, fov=1, N=3584, Nx=16, yB_size=448, yN_size=544, yP_size=1280, xA_size=272, xM_size=448, ), # nfacet=8², eff 50.0% "1792[1]-640-448": dict( W=14.0, fov=1, N=1792, Nx=16, yB_size=224, yN_size=272, yP_size=640, xA_size=272, xM_size=448, ), # nfacet=8², eff 50.0% "12k[1]-5k-384": dict( W=14.75, fov=1, N=12288, Nx=12, yB_size=2048, yN_size=2432, yP_size=5120, xA_size=252, xM_size=384, ), # nfacet=6², eff 55.3% "6k[1]-2560-384": dict( W=14.75, fov=1, N=6144, Nx=12, yB_size=1024, yN_size=1216, yP_size=2560, xA_size=252, xM_size=384, ), # nfacet=6², eff 55.3% "3k[1]-1280-384": dict( W=14.75, fov=1, N=3072, Nx=12, yB_size=512, yN_size=608, yP_size=1280, xA_size=252, xM_size=384, ), # nfacet=6², eff 55.3% "1536[1]-640-384": dict( W=14.75, fov=1, N=1536, Nx=12, yB_size=256, yN_size=304, yP_size=640, xA_size=252, xM_size=384, ), # nfacet=6², eff 55.3% "10k[1]-5k-320": dict( W=14.375, fov=1, N=10240, Nx=8, yB_size=2560, yN_size=3072, yP_size=5120, xA_size=232, xM_size=320, ), # nfacet=4², eff 60.4% "5k[1]-2560-320": dict( W=14.375, fov=1, N=5120, Nx=8, yB_size=1280, yN_size=1536, yP_size=2560, xA_size=232, xM_size=320, ), # nfacet=4², eff 60.4% "2560[1]-1280-320": dict( W=14.375, fov=1, N=2560, Nx=8, yB_size=640, yN_size=768, yP_size=1280, xA_size=232, xM_size=320, ), # nfacet=4², eff 60.4% "1280[1]-640-320": dict( W=14.375, fov=1, N=1280, Nx=8, yB_size=320, yN_size=384, yP_size=640, xA_size=232, xM_size=320, ), # nfacet=4², eff 60.4% "16k[1]-10k-256": dict( W=14.75, fov=1, N=16384, Nx=8, yB_size=4096, yN_size=4864, yP_size=10240, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "14k[1]-8960-256": dict( W=14.75, fov=1, N=14336, Nx=8, yB_size=3584, yN_size=4256, yP_size=8960, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "12k[1]-7680-256": dict( W=14.75, fov=1, N=12288, Nx=8, yB_size=3072, yN_size=3648, yP_size=7680, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "10k[1]-6400-256": dict( W=14.75, fov=1, N=10240, Nx=8, yB_size=2560, yN_size=3040, yP_size=6400, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "8k[1]-5k-256": dict( W=14.75, fov=1, N=8192, Nx=8, yB_size=2048, yN_size=2432, yP_size=5120, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "7k[1]-4480-256": dict( W=14.75, fov=1, N=7168, Nx=8, yB_size=1792, yN_size=2128, yP_size=4480, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "6k[1]-3840-256": dict( W=14.75, fov=1, N=6144, Nx=8, yB_size=1536, yN_size=1824, yP_size=3840, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "5k[1]-3200-256": dict( W=14.75, fov=1, N=5120, Nx=8, yB_size=1280, yN_size=1520, yP_size=3200, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "4k[1]-2560-256": dict( W=14.75, fov=1, N=4096, Nx=8, yB_size=1024, yN_size=1216, yP_size=2560, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "3584[1]-2240-256": dict( W=14.75, fov=1, N=3584, Nx=8, yB_size=896, yN_size=1064, yP_size=2240, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "3k[1]-1920-256": dict( W=14.75, fov=1, N=3072, Nx=8, yB_size=768, yN_size=912, yP_size=1920, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "2560[1]-1600-256": dict( W=14.75, fov=1, N=2560, Nx=8, yB_size=640, yN_size=760, yP_size=1600, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "2k[1]-1280-256": dict( W=14.75, fov=1, N=2048, Nx=8, yB_size=512, yN_size=608, yP_size=1280, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "1792[1]-1120-256": dict( W=14.75, fov=1, N=1792, Nx=8, yB_size=448, yN_size=532, yP_size=1120, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "1536[1]-960-256": dict( W=14.75, fov=1, N=1536, Nx=8, yB_size=384, yN_size=456, yP_size=960, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "1280[1]-800-256": dict( W=14.75, fov=1, N=1280, Nx=8, yB_size=320, yN_size=380, yP_size=800, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "1k[1]-640-256": dict( W=14.75, fov=1, N=1024, Nx=8, yB_size=256, yN_size=304, yP_size=640, xA_size=168, xM_size=256, ), # nfacet=4², eff 55.3% "16k[1]-4k-512": dict( W=13.25, fov=1, N=16384, Nx=256, yB_size=2048, yN_size=2560, yP_size=4096, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "14k[1]-3584-512": dict( W=13.25, fov=1, N=14336, Nx=256, yB_size=1792, yN_size=2240, yP_size=3584, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "12k[1]-3k-512": dict( W=13.25, fov=1, N=12288, Nx=256, yB_size=1536, yN_size=1920, yP_size=3072, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "10k[1]-2560-512": dict( W=13.25, fov=1, N=10240, Nx=256, yB_size=1280, yN_size=1600, yP_size=2560, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "8k[1]-2k-512": dict( W=13.25, fov=1, N=8192, Nx=256, yB_size=1024, yN_size=1280, yP_size=2048, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "7k[1]-1792-512": dict( W=13.25, fov=1, N=7168, Nx=256, yB_size=896, yN_size=1120, yP_size=1792, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "6k[1]-1536-512": dict( W=13.25, fov=1, N=6144, Nx=256, yB_size=768, yN_size=960, yP_size=1536, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "5k[1]-1280-512": dict( W=13.25, fov=1, N=5120, Nx=256, yB_size=640, yN_size=800, yP_size=1280, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "4k[1]-1k-512": dict( W=13.25, fov=1, N=4096, Nx=256, yB_size=512, yN_size=640, yP_size=1024, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "3584[1]-896-512": dict( W=13.25, fov=1, N=3584, Nx=256, yB_size=448, yN_size=560, yP_size=896, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "3k[1]-768-512": dict( W=13.25, fov=1, N=3072, Nx=256, yB_size=384, yN_size=480, yP_size=768, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "2560[1]-640-512": dict( W=13.25, fov=1, N=2560, Nx=256, yB_size=320, yN_size=400, yP_size=640, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "2k[1]-512-512": dict( W=13.25, fov=1, N=2048, Nx=256, yB_size=256, yN_size=320, yP_size=512, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "1536[1]-384-512": dict( W=13.25, fov=1, N=1536, Nx=256, yB_size=192, yN_size=240, yP_size=384, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "1k[1]-256-512": dict( W=13.25, fov=1, N=1024, Nx=256, yB_size=128, yN_size=160, yP_size=256, xA_size=256, xM_size=512, ), # nfacet=8², eff 40.0% "14k[1]-4k-448": dict( W=13.25, fov=1, N=14336, Nx=7, yB_size=2048, yN_size=2560, yP_size=4096, xA_size=329, xM_size=448, ), # nfacet=7², eff 58.8% "7k[1]-2k-448": dict( W=13.25, fov=1, N=7168, Nx=7, yB_size=1024, yN_size=1280, yP_size=2048, xA_size=329, xM_size=448, ), # nfacet=7², eff 58.8% "3584[1]-1k-448": dict( W=13.25, fov=1, N=3584, Nx=7, yB_size=512, yN_size=640, yP_size=1024, xA_size=329, xM_size=448, ), # nfacet=7², eff 58.8% "1792[1]-512-448": dict( W=13.25, fov=1, N=1792, Nx=7, yB_size=256, yN_size=320, yP_size=512, xA_size=329, xM_size=448, ), # nfacet=7², eff 58.8% "12k[1]-4k-384": dict( W=13.25, fov=1, N=12288, Nx=192, yB_size=1536, yN_size=1920, yP_size=4096, xA_size=192, xM_size=384, ), # nfacet=8², eff 40.0% "6k[1]-2k-384": dict( W=13.25, fov=1, N=6144, Nx=192, yB_size=768, yN_size=960, yP_size=2048, xA_size=192, xM_size=384, ), # nfacet=8², eff 40.0% "3k[1]-1k-384": dict( W=13.25, fov=1, N=3072, Nx=192, yB_size=384, yN_size=480, yP_size=1024, xA_size=192, xM_size=384, ), # nfacet=8², eff 40.0% "1536[1]-512-384": dict( W=13.25, fov=1, N=1536, Nx=192, yB_size=192, yN_size=240, yP_size=512, xA_size=192, xM_size=384, ), # nfacet=8², eff 40.0% "10k[1]-4k-320": dict( W=13.25, fov=1, N=10240, Nx=5, yB_size=2048, yN_size=2560, yP_size=4096, xA_size=235, xM_size=320, ), # nfacet=5², eff 58.8% "5k[1]-2k-320": dict( W=13.25, fov=1, N=5120, Nx=5, yB_size=1024, yN_size=1280, yP_size=2048, xA_size=235, xM_size=320, ), # nfacet=5², eff 58.8% "2560[1]-1k-320": dict( W=13.25, fov=1, N=2560, Nx=5, yB_size=512, yN_size=640, yP_size=1024, xA_size=235, xM_size=320, ), # nfacet=5², eff 58.8% "1280[1]-512-320": dict( W=13.25, fov=1, N=1280, Nx=5, yB_size=256, yN_size=320, yP_size=512, xA_size=235, xM_size=320, ), # nfacet=5², eff 58.8% "16k[1]-8k-256": dict( W=13.25, fov=1, N=16384, Nx=128, yB_size=4096, yN_size=5120, yP_size=8192, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "14k[1]-7k-256": dict( W=13.25, fov=1, N=14336, Nx=128, yB_size=3584, yN_size=4480, yP_size=7168, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "12k[1]-6k-256": dict( W=13.25, fov=1, N=12288, Nx=128, yB_size=3072, yN_size=3840, yP_size=6144, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "10k[1]-5k-256": dict( W=13.25, fov=1, N=10240, Nx=128, yB_size=2560, yN_size=3200, yP_size=5120, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "8k[1]-4k-256": dict( W=13.25, fov=1, N=8192, Nx=128, yB_size=2048, yN_size=2560, yP_size=4096, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "7k[1]-3584-256": dict( W=13.25, fov=1, N=7168, Nx=128, yB_size=1792, yN_size=2240, yP_size=3584, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "6k[1]-3k-256": dict( W=13.25, fov=1, N=6144, Nx=128, yB_size=1536, yN_size=1920, yP_size=3072, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "5k[1]-2560-256": dict( W=13.25, fov=1, N=5120, Nx=128, yB_size=1280, yN_size=1600, yP_size=2560, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "4k[1]-2k-256": dict( W=13.25, fov=1, N=4096, Nx=128, yB_size=1024, yN_size=1280, yP_size=2048, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "3584[1]-1792-256": dict( W=13.25, fov=1, N=3584, Nx=128, yB_size=896, yN_size=1120, yP_size=1792, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "3k[1]-1536-256": dict( W=13.25, fov=1, N=3072, Nx=128, yB_size=768, yN_size=960, yP_size=1536, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "2560[1]-1280-256": dict( W=13.25, fov=1, N=2560, Nx=128, yB_size=640, yN_size=800, yP_size=1280, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "2k[1]-1k-256": dict( W=13.25, fov=1, N=2048, Nx=128, yB_size=512, yN_size=640, yP_size=1024, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "1792[1]-896-256": dict( W=13.25, fov=1, N=1792, Nx=128, yB_size=448, yN_size=560, yP_size=896, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "1536[1]-768-256": dict( W=13.25, fov=1, N=1536, Nx=128, yB_size=384, yN_size=480, yP_size=768, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "1280[1]-640-256": dict( W=13.25, fov=1, N=1280, Nx=128, yB_size=320, yN_size=400, yP_size=640, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% "1k[1]-512-256": dict( W=13.25, fov=1, N=1024, Nx=128, yB_size=256, yN_size=320, yP_size=512, xA_size=128, xM_size=256, ), # nfacet=4², eff 40.0% }

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1

0

1

0

1

0

null

0

9

b05436011b1233f2b0def3c25a8fe5549b12ae02

2,116

py

Python

src/abaqus/PlotOptions/OdbContactDiagnostics.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/PlotOptions/OdbContactDiagnostics.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/PlotOptions/OdbContactDiagnostics.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from .OdbAuxiliaryData import OdbAuxiliaryData class OdbContactDiagnostics: """The OdbDiagnosticContact object. Attributes ---------- data: dict[str, OdbAuxiliaryData] A repository of :py:class:`~abaqus.PlotOptions.OdbAuxiliaryData.OdbAuxiliaryData` objects. This attribute is read-only. description: str A string specifying the opening/overclosure status of the contact. This attribute is read-only. detailStrings: tuple A sequence of strings specifying the nature of each of the contact pair. This attribute is read-only. type: str A string specifying the type of contact initialization. This attribute is read-only. defaultFormats: str A string specifying the default format value. This attribute is read-only. elementDescriptions: str A string specifying the element description. This attribute is read-only. nodeDescriptions: str A string specifying the node description. This attribute is read-only. Notes ----- This object can be accessed by: .. code-block:: python import visualization session.odbData[name].diagnosticData.steps[i].contactDiagnostics[i] """ # A repository of OdbAuxiliaryData objects. This attribute is read-only. data: dict[str, OdbAuxiliaryData] = dict[str, OdbAuxiliaryData]() # A string specifying the opening/overclosure status of the contact. This attribute is # read-only. description: str = '' # A sequence of strings specifying the nature of each of the contact pair. This attribute # is read-only. detailStrings: tuple = () # A string specifying the type of contact initialization. This attribute is read-only. type: str = '' # A string specifying the default format value. This attribute is read-only. defaultFormats: str = '' # A string specifying the element description. This attribute is read-only. elementDescriptions: str = '' # A string specifying the node description. This attribute is read-only. nodeDescriptions: str = ''

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7

bbce3ed82fd85dc1d2b62c707692286aa9b12afa

102

py

Python

ceefax/helpers/time.py

mscroggs/CEEFAX

8e7a075de1809064b77360da24ebbbaa409c3bf2

[ "MIT" ]

1

2020-03-28T15:53:22.000Z

ceefax/helpers/time.py

mscroggs/CEEFAX

8e7a075de1809064b77360da24ebbbaa409c3bf2

[ "MIT" ]

1

2021-02-05T13:43:52.000Z

ceefax/helpers/time.py

mscroggs/CEEFAX

8e7a075de1809064b77360da24ebbbaa409c3bf2

[ "MIT" ]

null

from datetime import datetime as _dt def datetime(*args, **kwargs): return _dt(*args, **kwargs)

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null

0

1

0

1

0

8

a59873240904ea9db5a2ce7eb948d025f7368f10

3,061

py

Python

cyclegenerator.py

lax1089/crypto-arbitrage-trader

7bad71d60490035568418c3bfa6291b2865ef3f0

[ "MIT" ]

9

2018-06-13T09:04:24.000Z

2021-11-23T00:10:25.000Z

cyclegenerator.py

lax1089/crypto-arbitrage-trader

7bad71d60490035568418c3bfa6291b2865ef3f0

[ "MIT" ]

null

cyclegenerator.py

lax1089/crypto-arbitrage-trader

7bad71d60490035568418c3bfa6291b2865ef3f0

[ "MIT" ]

1

2022-03-30T06:32:20.000Z

from cycle import Cycle class CycleGenerator(object): def generateCyclesNoFilter(markets): cycles = [] counter = 0 for index1 in range(len(markets)): markets[index1].print_market() for index2 in range(index1+1, len(markets)): for i in range(2): for j in range(2): if markets[index1].currencies[1-i] == markets[index2].currencies[j]: for index3 in range(index2+1, len(markets)): for k in range(2): if markets[index2].currencies[1-j] == markets[index3].currencies[k] and markets[index1].currencies[i] == markets[index3].currencies[1-k]: print('match '+markets[index1].code+' '+markets[index2].code+' '+markets[index3].code+' '+str(i==0)+' '+str(j==0)+' '+str(k==0)) currCycle = Cycle([markets[index1], markets[index2], markets[index3]], [(i==0), (j==0), (k==0)]).rotate(['ETH','BTC','USDT']) # if currCycle.leftCurrency(0) == 'ETH' and (currCycle.leftCurrency(1) == 'USDT' or currCycle.leftCurrency(2) == 'USDT'): if 1 == 1: cycles+=[currCycle, currCycle.reverse()] counter+=1 print('counter %d' %counter) return cycles def generateCycles(markets, currencyFilter): cycles = [] counter = 0 for index1 in range(len(markets)): markets[index1].print_market() if (markets[index1].get_sourceCurrency() == currencyFilter): for index2 in range(index1+1, len(markets)): for i in range(2): for j in range(2): if markets[index1].currencies[1-i] == markets[index2].currencies[j]: for index3 in range(index2+1, len(markets)): for k in range(2): if markets[index2].currencies[1-j] == markets[index3].currencies[k] and markets[index1].currencies[i] == markets[index3].currencies[1-k]: print('match '+markets[index1].code+' '+markets[index2].code+' '+markets[index3].code+' '+str(i==0)+' '+str(j==0)+' '+str(k==0)) currCycle = Cycle([markets[index1], markets[index2], markets[index3]], [(i==0), (j==0), (k==0)]).rotate(['ETH','BTC','USDT']) # if currCycle.leftCurrency(0) == 'ETH' and (currCycle.leftCurrency(1) == 'USDT' or currCycle.leftCurrency(2) == 'USDT'): if 1 == 1: cycles+=[currCycle, currCycle.reverse()] counter+=1 print('counter %d' %counter) return cycles

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0

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null

0

8

3c05f3a39b814ae5dd2ac553c5563c69332a50b2

158,959

py

Python

match_2step.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

match_2step.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

match_2step.py

wangpinggl/covidQA

f8b440ee27058cc1030af7cd57178ddf987462d0

[ "MIT" ]

null

import numpy as np import json import datetime import utility import re import random from sumeval.metrics.rouge import RougeCalculator rouge = RougeCalculator(stopwords=False, lang="en") utility = utility.Utility() month_dict = utility.month_dict month_dict6 = utility.month_dict6 day_dict = utility.day_dict today = str(datetime.date.today()).replace("-","") state_dict = utility.state_dict state_key = list(state_dict.keys()) state_val = list(state_dict.values()) def dateconvert1(day, month): monthstr = str(month_dict[month]) daystr = str(day_dict[day]) datenum = monthstr + '_' + daystr + '_' + '2021' return datenum def dateconvert2(day, month): monthstr = str(month_dict[month]) daystr = str(day_dict[day]) datenum = '2021' + monthstr + daystr return datenum def dateconvert6(day, month): monthstr = str(month_dict[month]) daystr = str(day_dict[day]) datenum = '2021' + '-' + monthstr + '-' + daystr return datenum def monthconvert1(month): monthstr = str(month_dict[month]) if monthstr == '01': startdate = '01_01_2021' enddate = '01_31_2021' elif monthstr == '02': startdate = '02_01_2021' enddate = '02_28_2021' elif monthstr == '03': startdate = '03_01_2021' enddate = '03_31_2021' elif monthstr == '04': startdate = '04_01_2021' enddate = '04_30_2021' elif monthstr == '05': startdate = '05_01_2021' enddate = '05_31_2021' elif monthstr == '06': startdate = '06_01_2021' enddate = '06_30_2021' elif monthstr == '07': startdate = '07_01_2021' enddate = '07_31_2021' elif monthstr == '08': startdate = '08_01_2021' enddate = '08_31_2021' elif monthstr == '09': startdate = '09_01_2021' enddate = '09_30_2021' elif monthstr == '10': startdate = '10_01_2021' enddate = '10_31_2021' elif monthstr == '11': startdate = '11_01_2021' enddate = '11_30_2021' else: startdate = '12_01_2021' enddate = '12_31_2021' return startdate, enddate def monthconvert2(month): monthstr = str(month_dict[month]) if monthstr == '01': startdate = '20210101' enddate = '20210131' elif monthstr == '02': startdate = '20210201' enddate = '20210228' elif monthstr == '03': startdate = '20210301' enddate = '20210331' elif monthstr == '04': startdate = '20210401' enddate = '20210430' elif monthstr == '05': startdate = '20210501' enddate = '20210531' elif monthstr == '06': startdate = '20210601' enddate = '20210630' elif monthstr == '07': startdate = '20210701' enddate = '20210731' elif monthstr == '08': startdate = '20210801' enddate = '20210831' elif monthstr == '09': startdate = '20210901' enddate = '20210930' elif monthstr == '10': startdate = '20211001' enddate = '20211031' elif monthstr == '11': startdate = '20211101' enddate = '20211130' else: startdate = '20211201' enddate = '20211231' return startdate, enddate def monthconvert4(month): monthstr = str(month_dict[month]) if monthstr == '01': startdate = '2021-01-01' enddate = '2021-01-31' elif monthstr == '02': startdate = '2021-02-01' enddate = '2021-02-28' elif monthstr == '03': startdate = '2021-03-01' enddate = '2021-03-31' elif monthstr == '04': startdate = '2021-04-01' enddate = '2021-04-30' elif monthstr == '05': startdate = '2021-05-01' enddate = '2021-05-31' elif monthstr == '06': startdate = '2021-06-01' enddate = '2021-06-30' elif monthstr == '07': startdate = '2021-07-01' enddate = '2021-07-31' elif monthstr == '08': startdate = '2021-08-01' enddate = '2021-08-31' elif monthstr == '09': startdate = '2021-09-01' enddate = '2021-09-30' elif monthstr == '10': startdate = '2021-10-01' enddate = '2021-10-31' elif monthstr == '11': startdate = '2021-11-01' enddate = '2021-11-30' else: startdate = '2021-12-01' enddate = '2021-12-31' return startdate, enddate case_entity = utility.case_entity demographic_entity = utility.demographic_entity entities = utility.entities amount_entity = utility.amount_entity with open('templist.json') as json_file: data1 = json.load(json_file) with open('entitylist.json') as json_file: data3 = json.load(json_file) with open('natural_question.json') as json_file: data5 = json.load(json_file) genderlist = data3['Gender'] testlist = data3['Testing Entity'] bedlist = data3['Bed Entity'] ratelist = data3['Rate Entity'] ratelist2 = data3['Rate Entity2'] moblist = data3['Mobility Entity'] hoslist = data3['Hospitalization Entity'] statelist = data3['State Entity'] caselist = data3['Cases'] caselist2 = data3['Cases2'] countrylist = data3['Country Entity'] monthlist = data3['Month'] daylist = data3['Day'] numberlist = data3['Number'] valuelist = data3['Value Entity'] amountlist = data3['Amount Entity'] racelist = data3['Race'] demlist = data3['Demographic Entity'] countylist = data3['County Entity'] provincelist = data3['Province Entity'] def find_best2(input_, pool_): score_ = [] for itm in pool_: input_ = input_.lower() itm = str(itm).lower() score_.append(rouge.rouge_n(summary=input_, references=itm, n=1)) if np.sum(score_) == 0: score_ = [] input2_ = ' '.join(list(input_)).lower() for itm in pool_: itm2 = ' '.join(list(str(itm))).lower() score_.append(rouge.rouge_n(summary=input2_, references=itm2, n=1)) return str(pool_[np.argmax(score_)]) for item in data5.values(): real_question = item[0]["real_question"] question_temp = item[0]["question"] query = item[0]["sql"] templist = list(data1) bucket = {} test = find_best2(real_question, templist) for items in data1[test]: for item1 in data3[items]: if real_question.find(item1) != -1: bucket.update({items: item1}) if items == 'County Entity' or items == 'Province Entity': bucket.update({items: item1.split(", ")[0]}) if data1[test] != list(bucket.keys()): templist.remove(test) test = find_best2(real_question, templist) bucket = {} for item2 in data1[test]: for item3 in data3[item2]: if real_question.find(item3) != -1: bucket.update({item2: item3}) if item == 'County Entity' or item == 'Province Entity': bucket.update({item: item1.split(", ")[0]}) bucket.update({'matched temp': test}) real_question = bucket['matched temp'] try: gender = bucket['Gender'] except KeyError: pass try: tes = bucket['Testing Entity'] except KeyError: tes = '' try: bed = bucket['Bed Entity'] except KeyError: pass try: rat = bucket['Rate Entity'] except KeyError: rat = '' try: rat = bucket['Rate Entity2'] except KeyError: rat = '' try: mob = bucket['Mobility Entity'] except KeyError: pass try: hos = bucket['Hospitalization Entity'] except KeyError: pass try: state = bucket['State Entity'] state_name = bucket['State Entity'] except KeyError: pass try: cas = bucket['Cases'] except KeyError: pass try: cas = bucket['Cases2'] except KeyError: pass try: country_name = bucket['Country Entity'] country = bucket['Country Entity'] except KeyError: pass try: mon = bucket['Month'] except KeyError: pass try: num = bucket['Number'] except KeyError: pass try: day = bucket['Day'] except KeyError: pass try: val = bucket['Value Entity'] except KeyError: pass try: amo = bucket['Amount Entity'] except KeyError: pass try: rac = bucket['Race'] except KeyError: pass try: dem = bucket['Demographic Entity'] except KeyError: pass try: county_name = bucket['County Entity'] except KeyError: pass try: province_name = bucket['Province Entity'] except KeyError: pass if real_question == "How many (Cases) occurred in (State Entity) in (Day), (Month)?": sql = "Select SUM(Cases) from db1_state_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") sql = sql.replace("(Location)", "Province_State = \"" + state + "\"") bucket.update({'sql': sql}) if real_question == "Give me the number of (Cases) occurred in (County Entity), (State Entity) in (Day), (Month).": sql = "Select SUM(Cases) from db1_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") sql = sql.replace("(Location)", "Province_State = \"" + state_name + "\" and Admin2 = \"" + county_name + "\" ") bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Cases) occurred in (Province Entity), (Country Entity) in (Month).": sql = "Select (Select SUM(Cases) from db1_end_date where (Location)) - (Select SUM(Cases) from db1_start_date where (Location))" start_date, end_date = monthconvert1(mon) sql = sql.replace("end_date", end_date) sql = sql.replace("start_date", start_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") sql = sql.replace("(Location)", "Province_State = \"" + province_name + "\" and Country_Region = \"" + country_name + "\" ") bucket.update({'sql': sql}) if real_question == "List the number of (Cases) occurred in (Country Entity) in (Month).": sql = "Select (Select SUM(Cases) from db1_end_date where (Location)) - (Select SUM(Cases) from db1_start_date where (Location))" start_date, end_date = monthconvert1(mon) sql = sql.replace("end_date", end_date) sql = sql.replace("start_date", start_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") if country == 'United States': sql = sql.replace("(Location)", "Country_Region = 'US' ") else: sql = sql.replace("(Location)", "Country_Region = \"" + country + "\" ") bucket.update({'sql': sql}) if real_question == "What is the (Rate Entity) in (State Entity) in (Day), (Month)?": sql = "Select (Rate) from db1_state_given_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') sql = sql.replace("(Location)", "Province_State = \"" + state + "\"") bucket.update({'sql': sql}) if real_question == "Give me the number of (Rate Entity) in (County Entity), (State Entity) in (Day), (Month).": sql = "Select (Rate) from db1_given_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') sql = sql.replace("(Location)", "Province_State = \"" + state_name + "\" and Admin2 = \"" + county_name + "\" ") bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Rate Entity) in (Province Entity), (Country Entity) in (Day), (Month).": sql = "Select (Rate) from db1_given_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') sql = sql.replace("(Location)", "Province_State = \"" + province_name + "\" and Country_Region = \"" + country_name + "\" ") bucket.update({'sql': sql}) if real_question == "List the number of (Rate Entity) in (Country Entity) in (Day), (Month).": sql = "Select (Rate) from db1_given_date where (Location)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') if country == 'United States': sql = sql.replace("(Location)", "Country_Region = 'US' ") else: sql = sql.replace("(Location)", "Country_Region = \"" + country + "\" ") bucket.update({'sql': sql}) if real_question == "What State has the (Value Entity) number of (Case Entity) in (Day), (Month)?": sql = "Select Province_State from db1_state_given_date where Province_State is not null Group by Province_State order by SUM(Cases) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Give me the State that has the (Value Entity) number of (Case Entity) in (Day), (Month).": sql = "Select Province_State from db1_state_given_date where Province_State is not null Group by Province_State order by SUM(Cases) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Provide me with the State that has the (Value Entity) number of (Case Entity) in (Day), (Month).": sql = "Select Province_State from db1_state_given_date where Province_State is not null Group by Province_State order by SUM(Cases) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "List the State that has the (Value Entity) number of (Case Entity) in (Day), (Month).": sql = "Select Province_State from db1_state_given_date where Province_State is not null Group by Province_State order by SUM(Cases) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if cas == 'confirmed cases' or cas == 'cases' or cas == 'cases increased' or cas == 'confirmed cases increased': sql = sql.replace("Cases", "Confirmed") elif cas == 'daily cases' or cas == 'new cases': sql = sql.replace("Cases", 'Confirmed') elif cas == 'deaths' or cas == 'deaths increased': sql = sql.replace("Cases", "Deaths") elif cas == 'active cases' or cas == 'active cases increased': sql = sql.replace("Cases", "Active") elif cas == 'recovered cases' or cas == 'recovered cases increased': sql = sql.replace("Cases", "Recovered") if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Which state has the (Value Entity) (Rate Entity) in (Day), (Month)?": sql = "Select Province_State from db1_state_given_date where Province_State is not null group by Province_State having (Rate) is not null order by (Rate) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Give me the county that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Admin2, Province_State from db1_given_date where Admin2 is not null and Province_State is not null group by Admin2, Province_State having (Rate) is not null order by (Rate) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Provide me with the province that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Province_State, Country_Region from db1_given_date where Country_Region != 'US' and Province_State is not null and Country_Region is not null group by Province_State, Country_Region having (Rate) is not null order by (Rate) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "List the country that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Country_Region from db1_given_date where Country_Region is not null group by Country_Region having (Rate) is not null order by (Rate) (Value Entity)" given_date = dateconvert1(day, mon) sql = sql.replace("given_date", given_date) if rat == 'incidence rate': sql = sql.replace("(Rate)", 'SUM(Confirmed)/SUM(Confirmed*100000/Incidence_Rate) * 100000') elif rat == 'case-fatality rate': sql = sql.replace("(Rate)", 'SUM(Deaths)*100.0/SUM(Confirmed)') elif rat == 'recovery rate': sql = sql.replace("(Rate)", 'SUM(Recovered)*100.0./SUM(Confirmed)') else: sql = sql.replace("(Rate)", 'Testing_Rate') if val == 'highest' or val == 'most': sql = sql.replace('(Value Entity)', 'desc limit 0' + ', 1') else: sql = sql.replace('(Value Entity)', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "What is the (Rate Entity) in (State Entity)?": sql = "Select Rate Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0 /totalTestResultsIncrease") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease * 100.0/totalTestResultsIncrease") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive * 100.0/totalTestResults") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace('current date', today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Give me the (Rate Entity) in (State Entity).": sql = "Select Rate Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0 /totalTestResultsIncrease") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease * 100.0/totalTestResultsIncrease") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive * 100.0/totalTestResults") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace('current date', today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Provide me with the (Rate Entity) in (State Entity).": sql = "Select Rate Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0 /totalTestResultsIncrease") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease * 100.0/totalTestResultsIncrease") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive * 100.0/totalTestResults") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace('current date', today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "List the (Rate Entity) in (State Entity).": sql = "Select Rate Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0 /totalTestResultsIncrease") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease * 100.0/totalTestResultsIncrease") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive * 100.0/totalTestResults") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace('current date', today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Which state has the (Value Entity) number of people (Hospitalization Entity)?": sql = "Select state from db2state where date = 'given date' and (Null) order by Hospitalization Entity Column Value Entity" if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("given date", today) bucket.update({'sql': sql}) if real_question == "Give me the state with the (Value Entity) number of people (Hospitalization Entity).": sql = "Select state from db2state where date = 'given date' and (Null) order by Hospitalization Entity Column Value Entity" if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("given date", today) bucket.update({'sql': sql}) if real_question == "Provide me with the state with the (Value Entity) number of people (Hospitalization Entity).": sql = "Select state from db2state where date = 'given date' and (Null) order by Hospitalization Entity Column Value Entity" if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("given date", today) bucket.update({'sql': sql}) if real_question == "List the state with the (Value Entity) number of people (Hospitalization Entity).": sql = "Select state from db2state where date = 'given date' and (Null) order by Hospitalization Entity Column Value Entity" if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("given date", today) bucket.update({'sql': sql}) if real_question == "How many people are (Hospitalization Entity) in (State Entity)?": sql = "Select Hospitalization Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("current date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Give me the number of people who are (Hospitalization Entity) in (State Entity).": sql = "Select Hospitalization Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("current date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Provide me with the number of people who are (Hospitalization Entity) in (State Entity).": sql = "Select Hospitalization Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("current date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "List the number of people who are (Hospitalization Entity) in (State Entity).": sql = "Select Hospitalization Entity Column from db2State where date = 'current date' and state = \"State Entity\" " if hos == 'Currently in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCurrently") sql = sql.replace("(Null)", "inICUCurrently is not null") elif hos == 'Cumulatively in ICU': sql = sql.replace("Hospitalization Entity Column", "inICUCumulative") sql = sql.replace("(Null)", "inICUCumulative is not null") elif hos == 'Currently on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCurrently") sql = sql.replace("(Null)", "onVentilatorCurrently is not null") elif hos == 'Cumulatively on ventilators': sql = sql.replace("Hospitalization Entity Column", "onVentilatorCumulative") sql = sql.replace("(Null)", "onVentilatorCumulative is not null") elif hos == 'Cumulatively hospitalized': sql = sql.replace("Hospitalization Entity Column", "hospitalizedCumulative") sql = sql.replace("(Null)", "hospitalizedCumulative is not null") else: sql = sql.replace("Hospitalization Entity Column", "hospitalizedCurrently") sql = sql.replace("(Null)", "hospitalizedCurrently is not null") sql = sql.replace("current date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "What is the number of (Testing Entity) done in (State Entity) in (Day), (Month)?": sql = "Select Testing Entity Column from db2State where date = 'Time Entity' and state = \"State Entity\" " if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Give me the number of (Testing Entity) done in (State Entity) in (Day), (Month).": sql = "Select Testing Entity Column from db2State where date = 'Time Entity' and state = \"State Entity\" " if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Testing Entity) done in (State Entity) in (Month).": sql = "Select (Select Testing Entity Column from db2State where date = 'Time End' and state = \"State Entity\") - (Select Testing Entity Column from db2State where date = 'Time Start' and state = \"State Entity\")" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') else: break start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "List the number of (Testing Entity) done in (State Entity) in (Month).": sql = "Select (Select Testing Entity Column from db2State where date = 'Time End' and state = \"State Entity\") - (Select Testing Entity Column from db2State where date = 'Time Start' and state = \"State Entity\")" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') else: break start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Which state has the (Value Entity) (Testing Entity) in (Day), (Month)?": sql = "Select state from db2State where date = 'Time Entity' and (Null) order by Testing Entity Column Value Entity" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') sql = sql.replace("(Null)", "totalTestResults is not null") elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') sql = sql.replace("(Null)", "positive is not null") elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') sql = sql.replace("(Null)", "negative is not null") else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') sql = sql.replace("(Null)", "totalTestResultsIncrease is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) bucket.update({'sql': sql}) if real_question == "Give me the state with the (Value Entity) (Testing Entity) in (Day), (Month).": sql = "Select state from db2State where date = 'Time Entity' and (Null) order by Testing Entity Column Value Entity" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') sql = sql.replace("(Null)", "totalTestResults is not null") elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') sql = sql.replace("(Null)", "positive is not null") elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') sql = sql.replace("(Null)", "negative is not null") else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') sql = sql.replace("(Null)", "totalTestResultsIncrease is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) bucket.update({'sql': sql}) if real_question == "Provide me with the state with the (Value Entity) (Testing Entity) in (Month).": sql = "Select t1.state from (Select state, Testing Entity Column from db2State where date = 'Time End' and (Null)) as t1 Inner Join (Select state, Testing Entity Column from db2State where date = 'Time Start' and (Null)) as t2 on t1.state = t2.state order by t1.Testing Entity Column-t2.Testing Entity Column Value Entity" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') sql = sql.replace("(Null)", "totalTestResults is not null") elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') sql = sql.replace("(Null)", "positive is not null") elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') sql = sql.replace("(Null)", "negative is not null") else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') sql = sql.replace("(Null)", "totalTestResultsIncrease is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) bucket.update({'sql': sql}) if real_question == "List the state with the (Value Entity) (Testing Entity) in (Month).": sql = "Select t1.state from (Select state, Testing Entity Column from db2State where date = 'Time End' and (Null)) as t1 Inner Join (Select state, Testing Entity Column from db2State where date = 'Time Start' and (Null)) as t2 on t1.state = t2.state order by t1.Testing Entity Column-t2.Testing Entity Column Value Entity" if tes == 'total tests' or tes == 'total tests increased': sql = sql.replace("Testing Entity Column", 'totalTestResults') sql = sql.replace("(Null)", "totalTestResults is not null") elif tes == 'positive tests' or tes == 'positive tests increased': sql = sql.replace("Testing Entity Column", 'positive') sql = sql.replace("(Null)", "positive is not null") elif tes == 'negative tests' or tes == 'negative tests increased': sql = sql.replace("Testing Entity Column", 'negative') sql = sql.replace("(Null)", "negative is not null") else: sql = sql.replace("Testing Entity Column", 'totalTestResultsIncrease') sql = sql.replace("(Null)", "totalTestResultsIncrease is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) bucket.update({'sql': sql}) if real_question == "What percentage of (Cases) in (State Entity) are (Race)?": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'given date' and state = \"State Entity\" " if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Give me the percentage of (Cases) in (State Entity) that are (Race).": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'given date' and state = \"State Entity\" " if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Provide me with the percentage of (Cases) in (State Entity) that are (Race).": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'given date' and state = \"State Entity\" " if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "List the percentage of (Cases) in (State Entity) that are (Race).": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'given date' and state = \"State Entity\" " if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Which state has the (Value Entity) percentage of (Race) (Cases)?": sql = "Select state from db2race where date = 'given date' and Case Entity Column_Race Entity Column is not null order by Case Entity Column_Race Entity Column Value Entity" if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("given date", today) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Give me the state with the (Value Entity) percentage of (Race) (Cases).": sql = "Select state from db2race where date = 'given date' and Case Entity Column_Race Entity Column is not null order by Case Entity Column_Race Entity Column Value Entity" if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("given date", today) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Provide me with the state with the (Value Entity) percentage of (Race) (Cases).": sql = "Select state from db2race where date = 'given date' and Case Entity Column_Race Entity Column is not null order by Case Entity Column_Race Entity Column Value Entity" if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("given date", today) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "List the state with the (Value Entity) percentage of (Race) (Cases).": sql = "Select state from db2race where date = 'given date' and Case Entity Column_Race Entity Column is not null order by Case Entity Column_Race Entity Column Value Entity" if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("given date", today) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") race_input = race_input + '*100.0/Cases_Total' else: sql = sql.replace("Case Entity Column", "Deaths") race_input = race_input + '*100.0/Deaths_Total' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "How many (Race) (Cases) occurred in (State Entity) in (Day), (Month)?": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'Time Entity' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Give me the number of (Race) (Cases) occurred in (State Entity) in (Day), (Month).": sql = "Select Case Entity Column_Race Entity Column from db2race where date = 'Time Entity' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") given_date = dateconvert2(day, mon) sql = sql.replace("Time Entity", given_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Race) (Cases) occurred in (State Entity) in (Month).": sql = "Select(Select Case Entity Column_Race Entity Column from db2race where date = 'Time End' and state = \"State Entity\") - (Select Case Entity Column_Race Entity Column from db2race where date = 'Time Start' and state = \"State Entity\") " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "List the number of (Race) (Cases) occurred in (State Entity) in (Month).": sql = "Select(Select Case Entity Column_Race Entity Column from db2race where date = 'Time End' and state = \"State Entity\") - (Select Case Entity Column_Race Entity Column from db2race where date = 'Time Start' and state = \"State Entity\") " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") start_date, end_date = monthconvert2(mon) sql = sql.replace("Time End", end_date) sql = sql.replace("Time Start", start_date) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) if rac == 'African-American' or rac == 'Black': race_input = 'Black' elif rac == 'Asian': race_input = 'Asian' elif rac == 'White' or rac == 'Caucasian': race_input = 'White' elif rac == 'American Indian' or rac == 'Alaska Native' or rac == 'American Indian or Alaska Native': race_input = 'AIAN' elif rac == 'Pacific Islander' or rac == 'Native Hawaiian' or rac == 'Pacific Islander and Native Hawaiian': race_input = 'NHPI' elif rac == 'multiracial' or rac == 'mixed': race_input = 'Multiracial' else: race_input = 'Latinx' sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Which state has the (Value Entity) (Rate Entity)?": sql = "Select state from db2state where date = 'current date' and (Null) order by Rate Entity Column Value Entity" if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "positiveIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease *100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "negativeIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive *100.0/totalTestResults") sql = sql.replace("(Null)", "positive is not null and totalTestResults is not null") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") sql = sql.replace("(Null)", "negative is not null and totalTestResults is not null") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace("(Null)", "hospitalizedCumulative is not null and positive is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') sql = sql.replace("current date", today) bucket.update({'sql': sql}) if real_question == "Give me the state with the (Value Entity) (Rate Entity).": sql = "Select state from db2state where date = 'current date' and (Null) order by Rate Entity Column Value Entity" if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "positiveIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease *100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "negativeIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive *100.0/totalTestResults") sql = sql.replace("(Null)", "positive is not null and totalTestResults is not null") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") sql = sql.replace("(Null)", "negative is not null and totalTestResults is not null") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace("(Null)", "hospitalizedCumulative is not null and positive is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') sql = sql.replace("current date", today) bucket.update({'sql': sql}) if real_question == "Provide me with the state with the (Value Entity) (Rate Entity).": sql = "Select state from db2state where date = 'current date' and (Null) order by Rate Entity Column Value Entity" if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "positiveIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease *100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "negativeIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive *100.0/totalTestResults") sql = sql.replace("(Null)", "positive is not null and totalTestResults is not null") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") sql = sql.replace("(Null)", "negative is not null and totalTestResults is not null") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace("(Null)", "hospitalizedCumulative is not null and positive is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') sql = sql.replace("current date", today) bucket.update({'sql': sql}) if real_question == "List the state with the (Value Entity) (Rate Entity).": sql = "Select state from db2state where date = 'current date' and (Null) order by Rate Entity Column Value Entity" if rat == 'daily percent positive rate': sql = sql.replace("Rate Entity Column", "positiveIncrease * 100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "positiveIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'daily percent negative rate': sql = sql.replace("Rate Entity Column", "negativeIncrease *100.0/totalTestResultsIncrease") sql = sql.replace("(Null)", "negativeIncrease is not null and totalTestResultsIncrease is not null") elif rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "positive *100.0/totalTestResults") sql = sql.replace("(Null)", "positive is not null and totalTestResults is not null") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "negative * 100.0/totalTestResults") sql = sql.replace("(Null)", "negative is not null and totalTestResults is not null") else: sql = sql.replace("Rate Entity Column", "hospitalizedCumulative * 100.0/positive") sql = sql.replace("(Null)", "hospitalizedCumulative is not null and positive is not null") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') sql = sql.replace("current date", today) bucket.update({'sql': sql}) if real_question == "What is the racial breakdown of (Cases) in (State Entity)?": sql = "Select Case Entity Column_Total,Case Entity Column_White, Case Entity Column_Black,Case Entity Column_LatinX, Case Entity Column_Asian,Case Entity Column_NHPI, Case Entity Column_Multiracial, Case Entity Column_Other, Case Entity Column_Unknown from db2race where date = 'given date' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Give me the racial breakdown of (Cases) in (State Entity).": sql = "Select Case Entity Column_Total,Case Entity Column_White, Case Entity Column_Black,Case Entity Column_LatinX, Case Entity Column_Asian,Case Entity Column_NHPI, Case Entity Column_Multiracial, Case Entity Column_Other, Case Entity Column_Unknown from db2race where date = 'given date' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "Provide me with the racial breakdown of (Cases) in (State Entity).": sql = "Select Case Entity Column_Total,Case Entity Column_White, Case Entity Column_Black,Case Entity Column_LatinX, Case Entity Column_Asian,Case Entity Column_NHPI, Case Entity Column_Multiracial, Case Entity Column_Other, Case Entity Column_Unknown from db2race where date = 'given date' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "List the racial breakdown of (Cases) in (State Entity).": sql = "Select Case Entity Column_Total,Case Entity Column_White, Case Entity Column_Black,Case Entity Column_LatinX, Case Entity Column_Asian,Case Entity Column_NHPI, Case Entity Column_Multiracial, Case Entity Column_Other, Case Entity Column_Unknown from db2race where date = 'given date' and state = \"State Entity\" " if cas.find('cases') >= 0: sql = sql.replace("Case Entity Column", "Cases") else: sql = sql.replace("Case Entity Column", "Deaths") sql = sql.replace("given date", today) state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) bucket.update({'sql': sql}) if real_question == "What is the number of (Bed Entity) in (State Entity)?": sql = "Select Sum(Bed Entity Column) From db3 Where STATE_Name = \"State Entity\"" if bed == 'staffed beds': sql = sql.replace("Bed Entity Column", "NUM_STAFFED_BEDS") elif bed == 'licensed beds': sql = sql.replace("Bed Entity Column", "NUM_LICENSED_BEDS") elif bed == 'ICU beds': sql = sql.replace("Bed Entity Column", "NUM_ICU_BEDS") sql = sql.replace("State Entity", state) bucket.update({'sql': sql}) if real_question == "Give me the number of (Bed Entity) in (State Entity).": sql = "Select Sum(Bed Entity Column) From db3 Where STATE_Name = \"State Entity\"" if bed == 'staffed beds': sql = sql.replace("Bed Entity Column", "NUM_STAFFED_BEDS") elif bed == 'licensed beds': sql = sql.replace("Bed Entity Column", "NUM_LICENSED_BEDS") elif bed == 'ICU beds': sql = sql.replace("Bed Entity Column", "NUM_ICU_BEDS") sql = sql.replace("State Entity", state) bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Bed Entity) in (County Entity), (State Entity).": sql = "Select SUM(Bed Entity Column) from db3 where STATE_Name = \"State Entity\" and COUNTY_Name = \"County Entity\"" if bed == 'staffed beds': sql = sql.replace("Bed Entity Column", "NUM_STAFFED_BEDS") elif bed == 'licensed beds': sql = sql.replace("Bed Entity Column", "NUM_LICENSED_BEDS") elif bed == 'ICU beds': sql = sql.replace("Bed Entity Column", "NUM_ICU_BEDS") sql = sql.replace("County Entity", county_name) sql = sql.replace("State Entity", state_name) bucket.update({'sql': sql}) if real_question == "List the number of (Bed Entity) in (County Entity), (State Entity).": sql = "Select SUM(Bed Entity Column) from db3 where STATE_Name = \"State Entity\" and COUNTY_Name = \"County Entity\"" if bed == 'staffed beds': sql = sql.replace("Bed Entity Column", "NUM_STAFFED_BEDS") elif bed == 'licensed beds': sql = sql.replace("Bed Entity Column", "NUM_LICENSED_BEDS") elif bed == 'ICU beds': sql = sql.replace("Bed Entity Column", "NUM_ICU_BEDS") sql = sql.replace("County Entity", county_name) sql = sql.replace("State Entity", state_name) bucket.update({'sql': sql}) if real_question == "What is the breakdown of (Cases) by (Demographic Entity) in the United States?": sql = "Select * from table_name" if cas == 'cases' or cas == 'confirmed cases': if dem == 'sex' or dem == 'gender': table_name = 'db4casesex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4caserace' else: table_name = 'db4caseage' else: if dem == 'sex' or dem == 'gender': table_name = 'db4deathsex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4deathrace' else: table_name = 'db4deathage' sql = sql.replace("table_name", table_name) bucket.update({'sql': sql}) if real_question == "Give me the breakdown of (Cases) by (Demographic Entity) in the United States.": sql = "Select * from table_name" if cas == 'cases' or cas == 'confirmed cases': if dem == 'sex' or dem == 'gender': table_name = 'db4casesex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4caserace' else: table_name = 'db4caseage' else: if dem == 'sex' or dem == 'gender': table_name = 'db4deathsex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4deathrace' else: table_name = 'db4deathage' sql = sql.replace("table_name", table_name) bucket.update({'sql': sql}) if real_question == "Provide me with the breakdown of (Cases) by (Demographic Entity) in the United States.": sql = "Select * from table_name" if cas == 'cases' or cas == 'confirmed cases': if dem == 'sex' or dem == 'gender': table_name = 'db4casesex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4caserace' else: table_name = 'db4caseage' else: if dem == 'sex' or dem == 'gender': table_name = 'db4deathsex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4deathrace' else: table_name = 'db4deathage' sql = sql.replace("table_name", table_name) bucket.update({'sql': sql}) if real_question == "List the breakdown of (Cases) by (Demographic Entity) in the United States.": sql = "Select * from table_name" if cas == 'cases' or cas == 'confirmed cases': if dem == 'sex' or dem == 'gender': table_name = 'db4casesex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4caserace' else: table_name = 'db4caseage' else: if dem == 'sex' or dem == 'gender': table_name = 'db4deathsex' elif dem == 'race' or dem == 'race and ethnicity' or dem == 'ethnicity': table_name = 'db4deathrace' else: table_name = 'db4deathage' sql = sql.replace("table_name", table_name) bucket.update({'sql': sql}) if real_question == "Which (Demographic Entity) has the (Value Entity) (Amount Entity) (Cases) in the United States?": sql = "Select Demographic Entity, Amount Entity from table name Order by Amount Entity Value Entity" if cas == 'confirmed cases' or cas == 'cases': if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4casesex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4caseage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4caserace") else: if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4deathsex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4deathage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4deathrace") if amo == 'percentage of': sql = sql.replace("Amount Entity", "Count") else: sql = sql.replace("Amount Entity", "Count") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Give me the (Demographic Entity) that has the (Value Entity) (Amount Entity) (Cases) in the United States.": sql = "Select Demographic Entity, Amount Entity from table name Order by Amount Entity Value Entity" if cas == 'confirmed cases' or cas == 'cases': if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4casesex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4caseage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4caserace") else: if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4deathsex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4deathage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4deathrace") if amo == 'percentage of': sql = sql.replace("Amount Entity", "Count") else: sql = sql.replace("Amount Entity", "Count") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Provide me with the (Demographic Entity) that has the (Value Entity) (Amount Entity) (Cases) in the United States.": sql = "Select Demographic Entity, Amount Entity from table name Order by Amount Entity Value Entity" if cas == 'confirmed cases' or cas == 'cases': if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4casesex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4caseage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4caserace") else: if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4deathsex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4deathage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4deathrace") if amo == 'percentage of': sql = sql.replace("Amount Entity", "Count") else: sql = sql.replace("Amount Entity", "Count") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "List the (Demographic Entity) that has the (Value Entity) (Amount Entity) (Cases) in the United States.": sql = "Select Demographic Entity, Amount Entity from table name Order by Amount Entity Value Entity" if cas == 'confirmed cases' or cas == 'cases': if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4casesex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4caseage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4caserace") else: if dem == 'sex' or dem == 'gender': sql = sql.replace("Demographic Entity", "Sex") sql = sql.replace("table name", "db4deathsex") elif dem == 'age' or dem == 'age group': sql = sql.replace("Demographic Entity", "Age_Group") sql = sql.replace("table name", "db4deathage") else: sql = sql.replace("Demographic Entity", "Race_Ethnicity") sql = sql.replace("table name", "db4deathrace") if amo == 'percentage of': sql = sql.replace("Amount Entity", "Count") else: sql = sql.replace("Amount Entity", "Count") if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "What is the total forecasted number of deaths in (State Entity) in the next (x) days?": sql = "Select Max(point) from db4forecaststate where target_week_end_date = 'Time Entity' and location_name = \"State Entity\"" sql = sql.replace("State Entity", state) today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "Provide me with the total forecasted number of deaths in (State Entity) in the next (x) days.": sql = "Select Max(point) from db4forecaststate where target_week_end_date = 'Time Entity' and location_name = \"State Entity\"" sql = sql.replace("State Entity", state) today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "Give me the total forecasted number of deaths in (State Entity) in the next (x) days.": sql = "Select Max(point) from db4forecaststate where target_week_end_date = 'Time Entity' and location_name = \"State Entity\"" sql = sql.replace("State Entity", state) today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "List the total forecasted number of deaths in (State Entity) in the next (x) days.": sql = "Select Max(point) from db4forecaststate where target_week_end_date = 'Time Entity' and location_name = \"State Entity\"" sql = sql.replace("State Entity", state) today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "Which state will have the (Value Entity) total forecasted number of deaths in the next (x) days?": sql = "Select location_name, Max(point) from db4forecaststate WHERE target_week_end_date = 'Time Entity' and location_name != 'National' group by location_name order by Max(point) asc/desc limit 0,1" if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "Provide me with the state that have the (Value Entity) total forecasted number of deaths in the next (x) days.": sql = "Select location_name, Max(point) from db4forecaststate WHERE target_week_end_date = 'Time Entity' and location_name != 'National' group by location_name order by Max(point) asc/desc limit 0,1" if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "Give me the state that have the (Value Entity) total forecasted number of deaths in the next (x) days.": sql = "Select location_name, Max(point) from db4forecaststate WHERE target_week_end_date = 'Time Entity' and location_name != 'National' group by location_name order by Max(point) asc/desc limit 0,1" if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "List the state that have the (Value Entity) total forecasted number of deaths in the next (x) days.": sql = "Select location_name, Max(point) from db4forecaststate WHERE target_week_end_date = 'Time Entity' and location_name != 'National' group by location_name order by Max(point) asc/desc limit 0,1" if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() num_day = int(num) future_date = today + datetime.timedelta(days=num_day) if future_date.weekday() == 5: sql = sql.replace("Time Entity", str(future_date)) elif future_date.weekday() == 6: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=6))) else: sql = sql.replace("Time Entity", str(future_date + datetime.timedelta(days=5 - future_date.weekday()))) bucket.update({'sql': sql}) if real_question == "What is the percentage change in (Mobility Entity) in (State Entity) in (Day), (Month)?": sql = "Select (Mobility) FROM db4mobility WHERE date = \"given date\" AND country_region = \"United States\" AND sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\"" given_date = dateconvert6(day, mon) sql = sql.replace("given date", given_date) sql = sql.replace("State name", state) if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") bucket.update({'sql': sql}) if real_question == "Give me the percentage change in (Mobility Entity) in (State Entity) in (Day), (Month).": sql = "Select (Mobility) FROM db4mobility WHERE date = \"given date\" AND country_region = \"United States\" AND sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\"" given_date = dateconvert6(day, mon) sql = sql.replace("given date", given_date) sql = sql.replace("State name", state) if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") bucket.update({'sql': sql}) if real_question == "Provide me with the percentage change in (Mobility Entity) in (County Entity) (State Entity) in (Month).": sql = "Select (Select (Mobility) from db4mobility where date = 'end date' and country_region = 'United States' and sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\") - (Select (Mobility) from db4mobility where date = 'start date' and country_region = 'United States' and sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\")" sql = sql.replace("State name", state_name + "\" AND sub_region_2 = \"" + county_name + " County") start_date, end_date = monthconvert4(mon) sql = sql.replace("end date", end_date) sql = sql.replace("start date", start_date) if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") bucket.update({'sql': sql}) if real_question == "List the percentage change in (Mobility Entity) in (County Entity) (State Entity) in (Month).": sql = "Select (Select (Mobility) from db4mobility where date = 'end date' and country_region = 'United States' and sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\") - (Select (Mobility) from db4mobility where date = 'start date' and country_region = 'United States' and sub_region_1 = \"State name\" and iso_3166_2_code LIKE \"US-%\")" sql = sql.replace("State name", state_name + "\" AND sub_region_2 = \"" + county_name + " County") start_date, end_date = monthconvert4(mon) sql = sql.replace("end date", end_date) sql = sql.replace("start date", start_date) if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") bucket.update({'sql': sql}) if real_question == "Which state had the (Value Entity) percentage change in (Mobility Entity) today?": sql = "Select sub_region_1, (Mobility) from db4mobility where date = 'Time Entity' and country_region = 'United States' and iso_3166_2_code like \"US-%\" and (Mobility) is not null order by (Mobility) asc/desc limit 0,1" if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() sql = sql.replace("Time Entity", str(today)) bucket.update({'sql': sql}) if real_question == "Give me the state that had the (Value Entity) percentage change in (Mobility Entity) today.": sql = "Select sub_region_1, (Mobility) from db4mobility where date = 'Time Entity' and country_region = 'United States' and iso_3166_2_code like \"US-%\" and (Mobility) is not null order by (Mobility) asc/desc limit 0,1" if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") today = datetime.date.today() sql = sql.replace("Time Entity", str(today)) bucket.update({'sql': sql}) if real_question == "Give me the county that had the (Value Entity) percentage change in (Mobility Entity) in (Month).": sql = """Select t1.sub_region_2, t1.(Mobility)-t2.(Mobility) from(Select sub_region_2, (Mobility) from db4mobility where date = 'end date' and country_region = 'United States' and sub_region_2 is not null and (Mobility) is not null) as t1 Inner Join (Select sub_region_2, (Mobility) from db4mobility where date = 'start date' and country_region = 'United States' and (Mobility) is not null) as t2 on t1 sub_region_2=t2.sub_region_2 order by t1.(Mobility)-t2.(Mobility) asc/desc limit 0,1""" if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") start_date, end_date = monthconvert4(mon) sql = sql.replace("end date", end_date) sql = sql.replace("start date", start_date) bucket.update({'sql': sql}) if real_question == "List the county that had the (Value Entity) percentage change in (Mobility Entity) in (Month).": sql = """Select t1.sub_region_2, t1.(Mobility)-t2.(Mobility) from(Select sub_region_2, (Mobility) from db4mobility where date = 'end date' and country_region = 'United States' and sub_region_2 is not null and (Mobility) is not null) as t1 Inner Join (Select sub_region_2, (Mobility) from db4mobility where date = 'start date' and country_region = 'United States' and (Mobility) is not null) as t2 on t1 sub_region_2=t2.sub_region_2 order by t1.(Mobility)-t2.(Mobility) asc/desc limit 0,1""" if mob == 'retail and recreation': sql = sql.replace("(Mobility)", "retail_and_recreation_percent_change_from_baseline") elif mob == 'grocery and pharmacy': sql = sql.replace("(Mobility)", "grocery_and_pharmacy_percent_change_from_baseline") elif mob == 'parks': sql = sql.replace("(Mobility)", "parks_percent_change_from_baseline") elif mob == 'transit stations': sql = sql.replace("(Mobility)", "transit_stations_percent_change_from_baseline") elif mob == 'workplaces': sql = sql.replace("(Mobility)", "workplaces_percent_change_from_baseline") else: sql = sql.replace("(Mobility)", "residential_percent_change_from_baseline") if val == 'highest' or val == 'most': sql = sql.replace("asc/desc", "desc") else: sql = sql.replace("asc/desc", "asc") start_date, end_date = monthconvert4(mon) sql = sql.replace("end date", end_date) sql = sql.replace("start date", start_date) bucket.update({'sql': sql}) if real_question == "Which county in (State Entity) has the (Value Entity) percentage of (Race Entity) deaths?": sql = "Select County_Name from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = 'State Entity' order by Race Entity Column Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Give me the county in (State Entity) has the (Value Entity) percentage of (Race Entity) deaths.": sql = "Select County_Name from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = 'State Entity' order by Race Entity Column Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Provide me with the county in (State Entity) that has the (Value Entity) percentage of (Race Entity) deaths.": sql = "Select County_Name from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = 'State Entity' order by Race Entity Column Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "List the county in (State Entity) that has the (Value Entity) percentage of (Race Entity) deaths.": sql = "Select County_Name from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = 'State Entity' order by Race Entity Column Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') state_abbreviation = state_key[state_val.index(state)] sql = sql.replace("State Entity", state_abbreviation) specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "What percentage of Covid-19 deaths in (County Entity), (State Entity) are from (Race Entity)?": sql = "Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and County_Name = \"County Entity\" and State = \"State Entity\"" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Give me the percentage of Covid-19 deaths in (County Entity), (State Entity) that are from (Race Entity).": sql = "Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and County_Name = \"County Entity\" and State = \"State Entity\"" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Provide me with the percentage of Covid-19 deaths in (County Entity), (State Entity) that are from (Race Entity).": sql = "Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and County_Name = \"County Entity\" and State = \"State Entity\"" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "List the percentage of Covid-19 deaths in (County Entity), (State Entity) that are from (Race Entity).": sql = "Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and County_Name = \"County Entity\" and State = \"State Entity\"" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "How many (Race Entity) deaths occured in (County Entity), (State Entity)?": sql = "Select Round((Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\") * (Select Deaths from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\"))" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Give me the number of (Race Entity) deaths occured in (County Entity), (State Entity).": sql = "Select Round((Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\") * (Select Deaths from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\"))" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Race Entity) deaths occured in (County Entity), (State Entity).": sql = "Select Round((Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\") * (Select Deaths from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\"))" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "List the number of (Race Entity) deaths occured in (County Entity), (State Entity).": sql = "Select Round((Select Race Entity Column from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\") * (Select Deaths from db5 where Indicator = 'Distribution of COVID-19 deaths (%)' and State = \"State Entity\" and County_Name = \"County Entity\"))" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") specific_race = rac if rac == "people of color": race_input = "Non_Hispanic_Black" else: specific_race = rac while specific_race.find("multiracial") >= 0 or specific_race.find("mixed") >= 0 or specific_race.find( "Pacific Islander") >= 0 or specific_race.find("Native Hawaiian") >= 0 or specific_race.find( "Pacific Islander and Native Hawaiian") >= 0 or ( (specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0) and rac.find( "Non-Hispanic") >= 0): specific_race = random.choice(data3['Race']) if specific_race.find("African-American") >= 0 or specific_race.find("Black") >= 0: race_input = "Non_Hispanic_Black" elif specific_race.find("Hispanic") >= 0 or specific_race.find("Latino") >= 0: race_input = "Hispanic" elif specific_race.find("Asian") >= 0: race_input = "Non_Hispanic_Asian" elif specific_race.find("Alaska Native") >= 0 or specific_race.find( "American Indian or Alaska Native") >= 0 or specific_race.find("American Indian") >= 0: race_input = "Non_Hispanic_AIAN" else: race_input = "Non_Hispanic_White" if rac.find("people of color") >= 0: real_sub = rac elif rac.find("people") < 0: if specific_race == 'American Indian or Alaska Native': real_sub = rac.replace("(race)", 'American Indians or Alaska Natives') else: real_sub = rac.replace("(race)", specific_race + 's') else: real_sub = rac.replace("(race)", specific_race) sql = sql.replace("Race Entity Column", race_input) bucket.update({'sql': sql}) if real_question == "What is the racial breakdown of Covid-19 deaths in (County Entity), (State Entity)?": sql = """Select Deaths, Non_Hispanic_White, Non_Hispanic_Black, Non_Hispanic_AIAN, Non_Hispanic_Asian, Other, Hispanic from db5 where Indicator = \"Distribution of COVID-19 deaths (%)\" and State = \"State Entity\" and County_Name = \"County Entity\"""" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") bucket.update({'sql': sql}) if real_question == "Give me the racial breakdown of Covid-19 deaths in (County Entity), (State Entity).": sql = """Select Deaths, Non_Hispanic_White, Non_Hispanic_Black, Non_Hispanic_AIAN, Non_Hispanic_Asian, Other, Hispanic from db5 where Indicator = \"Distribution of COVID-19 deaths (%)\" and State = \"State Entity\" and County_Name = \"County Entity\"""" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") bucket.update({'sql': sql}) if real_question == "Provide me with the racial breakdown of Covid-19 deaths in (County Entity), (State Entity).": sql = """Select Deaths, Non_Hispanic_White, Non_Hispanic_Black, Non_Hispanic_AIAN, Non_Hispanic_Asian, Other, Hispanic from db5 where Indicator = \"Distribution of COVID-19 deaths (%)\" and State = \"State Entity\" and County_Name = \"County Entity\"""" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") bucket.update({'sql': sql}) if real_question == "List the racial breakdown of Covid-19 deaths in (County Entity), (State Entity).": sql = """Select Deaths, Non_Hispanic_White, Non_Hispanic_Black, Non_Hispanic_AIAN, Non_Hispanic_Asian, Other, Hispanic from db5 where Indicator = \"Distribution of COVID-19 deaths (%)\" and State = \"State Entity\" and County_Name = \"County Entity\"""" state_abbreviation = state_key[state_val.index(state_name)] sql = sql.replace("State Entity", state_abbreviation) sql = sql.replace("County Entity", county_name + " County") bucket.update({'sql': sql}) if real_question == "What are the number of (Testing Entity) done by (Country) in (Day), (Month)?": sql = "Select Testing Entity Column from db6 where Entity = \"Country Name\" and Date = 'Time Entity'" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Name", cou) if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "Give me the number of (Testing Entity) done by (Country) in (Day), (Month).": sql = "Select Testing Entity Column from db6 where Entity = \"Country Name\" and Date = 'Time Entity'" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Name", cou) if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "Provide me with the number of (Testing Entity) done by (Country) in (Month).": sql = "Select (Select Testing Entity Column from db6 where date = 'Time End' and Entity = \" Country Entity\") - (Select Testing Entity Column from db6 where date = 'Time Start' and Entity = \"Country Entity\")" time_start, time_end = monthconvert4(mon) sql = sql.replace("Time End", time_end) sql = sql.replace("Time Start", time_start) sql = sql.replace("Country Entity", cou) if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "List the number of (Testing Entity) done by (Country) in (Month).": sql = "Select (Select Testing Entity Column from db6 where date = 'Time End' and Entity = \" Country Entity\") - (Select Testing Entity Column from db6 where date = 'Time Start' and Entity = \"Country Entity\")" time_start, time_end = monthconvert4(mon) sql = sql.replace("Time End", time_end) sql = sql.replace("Time Start", time_start) sql = sql.replace("Country Entity", cou) if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "What is the (Rate Entity) in (Country) in (Day), (Month)?": sql = "Select Rate Entity Column from db6file2 where date = 'Time Entity' and Entity = \"Country Entity\"" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Entity", cou) if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") bucket.update({'sql': sql}) if real_question == "Give me the (Rate Entity) in (Country) in (Day), (Month).": sql = "Select Rate Entity Column from db6file2 where date = 'Time Entity' and Entity = \"Country Entity\"" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Entity", cou) if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") bucket.update({'sql': sql}) if real_question == "Provide me with the (Rate Entity) in (Country) in (Day), (Month).": sql = "Select Rate Entity Column from db6file2 where date = 'Time Entity' and Entity = \"Country Entity\"" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Entity", cou) if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") bucket.update({'sql': sql}) if real_question == "List the (Rate Entity) in (Country) in (Day), (Month).": sql = "Select Rate Entity Column from db6file2 where date = 'Time Entity' and Entity = \"Country Entity\"" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) sql = sql.replace("Country Entity", cou) if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") bucket.update({'sql': sql}) if real_question == "Which country has the (Value Entity) (Testing Entity) in (Day), (Month)?": sql = "Select Entity from db6 where date = 'Time Entity' order by Testing Entity Column Value Entity" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "Give me the country that has the (Value Entity) (Testing Entity) in (Day), (Month).": sql = "Select Entity from db6 where date = 'Time Entity' order by Testing Entity Column Value Entity" given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") bucket.update({'sql': sql}) if real_question == "Provide me with the country that has the (Value Entity) (Testing Entity) in (Month).": sql = "Select e1 from (Select Entity as E1, Testing Entity Column as tot1 from db6 where date = 'Time End') as t1 Inner Join (Select Entity as e2, Testing Entity Column as tot2 from db6 where date = 'Time Start') as t2 on t1.e1=t2.e2 order by t1.tot1-t2.tot2 Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") time_start, time_end = monthconvert4(mon) sql = sql.replace("Time End", time_end) sql = sql.replace("Time Start", time_start) bucket.update({'sql': sql}) if real_question == "List the country that has the (Value Entity) (Testing Entity) in (Month).": sql = "Select e1 from (Select Entity as E1, Testing Entity Column as tot1 from db6 where date = 'Time End') as t1 Inner Join (Select Entity as e2, Testing Entity Column as tot2 from db6 where date = 'Time Start') as t2 on t1.e1=t2.e2 order by t1.tot1-t2.tot2 Value Entity" if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') if tes == 'daily tests': sql = sql.replace("Testing Entity Column", "New_Test") sql = sql.replace("db6", "db6file4") else: sql = sql.replace("Testing Entity Column", "Total") time_start, time_end = monthconvert4(mon) sql = sql.replace("Time End", time_end) sql = sql.replace("Time Start", time_start) bucket.update({'sql': sql}) if real_question == "Which country has the (Value Entity) (Rate Entity) in (Day), (Month)?": sql = "Select Entity from db6file2 where date = 'Time Entity' order by Rate Entity Column Value Entity" if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Give me the country that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Entity from db6file2 where date = 'Time Entity' order by Rate Entity Column Value Entity" if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "Provide me with the country that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Entity from db6file2 where date = 'Time Entity' order by Rate Entity Column Value Entity" if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql}) if real_question == "List the country that has the (Value Entity) (Rate Entity) in (Day), (Month).": sql = "Select Entity from db6file2 where date = 'Time Entity' order by Rate Entity Column Value Entity" if rat == 'percent positive rate': sql = sql.replace("Rate Entity Column", "pos_rate") elif rat == 'percent negative rate': sql = sql.replace("Rate Entity Column", "100-pos_rate") else: sql = sql.replace("Rate Entity Column", "daily_rate") sql = sql.replace("db6file2", "db6file3") given_date = dateconvert6(day, mon) sql = sql.replace("Time Entity", given_date) if val == 'highest' or val == 'most': sql = sql.replace('Value Entity', 'desc limit 0' + ', 1') else: sql = sql.replace('Value Entity', 'asc limit 0' + ', 1') bucket.update({'sql': sql})

49.39683

500

0.601281

19,123

158,959

4.895048

0.019662

0.058585

0.110824

0.024699

0.955378

0.952216

0.948754

0.947707

0.947558

0.945411

0

0.017643

0.270799

158,959

3,217

501

49.412185

0.789929

0

0.886672

0

0.040663

0.412507

0.038281

0.000377

0

1

0.002636

false

0.006401

0.002636

0

0.007907

0

null

0

1

0

1

0

null

0

7

3c1759d7f2c72c1cd37f1f5a58b03d9ab18ba865

12,370

py

Python

tests/test_basic_laplace_kernels.py

dbstein/pybie2d

1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58

[ "Apache-2.0" ]

11

2018-10-26T17:34:29.000Z

2020-04-27T21:21:33.000Z

tests/test_basic_laplace_kernels.py

dbstein/pybie2d

1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58

[ "Apache-2.0" ]

null

tests/test_basic_laplace_kernels.py

dbstein/pybie2d

1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58

[ "Apache-2.0" ]

null

import numpy as np import pybie2d from pybie2d.kernels.laplace import Laplace_Kernel_Apply, Laplace_Kernel_Form """ Test all of the Laplace Kernel Functions against each other """ def get_random(sh, dtype): r = np.random.rand(*sh).astype(dtype) if dtype is complex: r += 1j*np.random.rand(*sh) return r ns = 100 nt = 200 ################################################################################ # Float ######################################################################## ################################################################################ dtype = float source = get_random([2, ns], float) target = get_random([2, nt], float) dipvec = get_random([2, ns], float) charge = get_random([ns,], dtype) dipstr = get_random([ns,], dtype) ############################################################################ # Without gradients # Laplace Kernel, charge only # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifcharge=True) pot3 = MAT.dot(charge) def test1(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) # Laplace Kernel, dipole only # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifdipole=True, dipvec=dipvec) pot3 = MAT.dot(dipstr) def test2(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='FMM', dtype=dtype) def test3(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr, but one a scalar multiple of the other # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifcharge=True, chweight=1.0, ifdipole=True, dpweight=0.5, dipvec=dipvec) pot3 = MAT.dot(charge) def test4(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) ############################################################################ # With gradients now # Laplace Kernel, charge only # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifcharge=True, gradient=True) pot3 = MAT.dot(charge) gradx3 = MATX.dot(charge) grady3 = MATY.dot(charge) def test5(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8) # Laplace Kernel, dipole only # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifdipole=True, dipvec=dipvec, gradient=True) pot3 = MAT.dot(dipstr) gradx3 = MATX.dot(dipstr) grady3 = MATY.dot(dipstr) def test6(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) def test7(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr, but one a scalar multiple of the other # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifcharge=True, chweight=1.0, ifdipole=True, dpweight=0.5, dipvec=dipvec, gradient=True) pot3 = MAT.dot(charge) gradx3 = MATX.dot(charge) grady3 = MATY.dot(charge) def test8(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8) ################################################################################ # Complex ###################################################################### ################################################################################ dtype = complex source = get_random([2, ns], float) target = get_random([2, nt], float) dipvec = get_random([2, ns], float) charge = get_random([ns,], dtype) dipstr = get_random([ns,], dtype) ############################################################################ # Without gradients # Laplace Kernel, charge only # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifcharge=True) pot3 = MAT.dot(charge) def test9(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) # Laplace Kernel, dipole only # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifdipole=True, dipvec=dipvec) pot3 = MAT.dot(dipstr) def test10(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='FMM', dtype=dtype) def test11(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr, but one a scalar multiple of the other # force usage of numba pot1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='numba', dtype=dtype) # force usage of FMM pot2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='FMM', dtype=dtype) # form the matrix MAT = Laplace_Kernel_Form(source, target, ifcharge=True, chweight=1.0, ifdipole=True, dpweight=0.5, dipvec=dipvec) pot3 = MAT.dot(charge) def test12(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) ############################################################################ # With gradients now # Laplace Kernel, charge only # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifcharge=True, gradient=True) pot3 = MAT.dot(charge) gradx3 = MATX.dot(charge) grady3 = MATY.dot(charge) def test13(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8) # Laplace Kernel, dipole only # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, dipstr=dipstr, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifdipole=True, dipvec=dipvec, gradient=True) pot3 = MAT.dot(dipstr) gradx3 = MATX.dot(dipstr) grady3 = MATY.dot(dipstr) def test14(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=dipstr, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) def test15(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) # Laplace Kernel, charge + dipstr, but one a scalar multiple of the other # force usage of numba pot1, gradx1, grady1 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='numba', gradient=True, dtype=dtype) # force usage of FMM pot2, gradx2, grady2 = Laplace_Kernel_Apply(source, target, charge=charge, dipstr=0.5*charge, dipvec=dipvec, backend='FMM', gradient=True, dtype=dtype) # form the matrix MAT, MATX, MATY = Laplace_Kernel_Form(source, target, ifcharge=True, chweight=1.0, ifdipole=True, dpweight=0.5, dipvec=dipvec, gradient=True) pot3 = MAT.dot(charge) gradx3 = MATX.dot(charge) grady3 = MATY.dot(charge) def test16(): assert np.allclose(pot1, pot2, atol=0.0, rtol=1e-8) assert np.allclose(pot1, pot3, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx2, atol=0.0, rtol=1e-8) assert np.allclose(gradx1, gradx3, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady2, atol=0.0, rtol=1e-8) assert np.allclose(grady1, grady3, atol=0.0, rtol=1e-8)

43.251748

153

0.685287

1,843

12,370

4.543679

0.05643

0.097803

0.106998

0.066874

0.95701

0

0.045597

0.124171

12,370

285

154

43.403509

0.72734

0.126192

0

0.82716

0

0.012919

0

0.345679

1

0.104938

false

0

0.018519

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0.12963

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null

0

1

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1

0

null

0

7

b1b5b993aa75ceec9ade92634f81442efead7d89

73,707

py

Python

embyapi/api/user_activity_api_api.py

stanionascu/python-embyapi

a3f7aa49aea4052277cc43605c0d89bc6ff21913

[ "BSD-3-Clause" ]

null

embyapi/api/user_activity_api_api.py

stanionascu/python-embyapi

a3f7aa49aea4052277cc43605c0d89bc6ff21913

[ "BSD-3-Clause" ]

null

embyapi/api/user_activity_api_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 UserActivityAPIApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_user_usage_stats_by_breakdowntype_breakdownreport(self, breakdown_type, **kwargs): # noqa: E501 """Gets a breakdown of a usage metric # noqa: E501 No authentication required # 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_user_usage_stats_by_breakdowntype_breakdownreport(breakdown_type, async_req=True) >>> result = thread.get() :param async_req bool :param str breakdown_type: Breakdown type (required) :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_by_breakdowntype_breakdownreport_with_http_info(breakdown_type, **kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_by_breakdowntype_breakdownreport_with_http_info(breakdown_type, **kwargs) # noqa: E501 return data def get_user_usage_stats_by_breakdowntype_breakdownreport_with_http_info(self, breakdown_type, **kwargs): # noqa: E501 """Gets a breakdown of a usage metric # noqa: E501 No authentication required # 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_user_usage_stats_by_breakdowntype_breakdownreport_with_http_info(breakdown_type, async_req=True) >>> result = thread.get() :param async_req bool :param str breakdown_type: Breakdown type (required) :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['breakdown_type', 'days', 'end_date'] # 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_user_usage_stats_by_breakdowntype_breakdownreport" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'breakdown_type' is set if ('breakdown_type' not in params or params['breakdown_type'] is None): raise ValueError("Missing the required parameter `breakdown_type` when calling `get_user_usage_stats_by_breakdowntype_breakdownreport`") # noqa: E501 collection_formats = {} path_params = {} if 'breakdown_type' in params: path_params['BreakdownType'] = params['breakdown_type'] # noqa: E501 query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/{BreakdownType}/BreakdownReport', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_by_userid_by_date_getitems(self, user_id, _date, **kwargs): # noqa: E501 """Gets activity for {USER} for {Date} formatted as yyyy-MM-dd # noqa: E501 No authentication required # 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_user_usage_stats_by_userid_by_date_getitems(user_id, _date, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: User Id (required) :param str _date: UTC DateTime, Format yyyy-MM-dd (required) :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_by_userid_by_date_getitems_with_http_info(user_id, _date, **kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_by_userid_by_date_getitems_with_http_info(user_id, _date, **kwargs) # noqa: E501 return data def get_user_usage_stats_by_userid_by_date_getitems_with_http_info(self, user_id, _date, **kwargs): # noqa: E501 """Gets activity for {USER} for {Date} formatted as yyyy-MM-dd # noqa: E501 No authentication required # 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_user_usage_stats_by_userid_by_date_getitems_with_http_info(user_id, _date, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: User Id (required) :param str _date: UTC DateTime, Format yyyy-MM-dd (required) :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['user_id', '_date', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_user_usage_stats_by_userid_by_date_getitems" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in params or params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `get_user_usage_stats_by_userid_by_date_getitems`") # noqa: E501 # verify the required parameter '_date' is set if ('_date' not in params or params['_date'] is None): raise ValueError("Missing the required parameter `_date` when calling `get_user_usage_stats_by_userid_by_date_getitems`") # noqa: E501 collection_formats = {} path_params = {} if 'user_id' in params: path_params['UserID'] = params['user_id'] # noqa: E501 if '_date' in params: path_params['Date'] = params['_date'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('Filter', params['filter'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/{UserID}/{Date}/GetItems', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_durationhistogramreport(self, **kwargs): # noqa: E501 """Gets duration histogram # noqa: E501 No authentication required # 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_user_usage_stats_durationhistogramreport(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_durationhistogramreport_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_durationhistogramreport_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_durationhistogramreport_with_http_info(self, **kwargs): # noqa: E501 """Gets duration histogram # noqa: E501 No authentication required # 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_user_usage_stats_durationhistogramreport_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_user_usage_stats_durationhistogramreport" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'filter' in params: query_params.append(('filter', params['filter'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/DurationHistogramReport', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_hourlyreport(self, **kwargs): # noqa: E501 """Gets a report of the available activity per hour # noqa: E501 No authentication required # 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_user_usage_stats_hourlyreport(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_hourlyreport_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_hourlyreport_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_hourlyreport_with_http_info(self, **kwargs): # noqa: E501 """Gets a report of the available activity per hour # noqa: E501 No authentication required # 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_user_usage_stats_hourlyreport_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_user_usage_stats_hourlyreport" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'filter' in params: query_params.append(('filter', params['filter'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/HourlyReport', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_load_backup(self, backupfile, **kwargs): # noqa: E501 """Loads a backup from a file # noqa: E501 No authentication required # 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_user_usage_stats_load_backup(backupfile, async_req=True) >>> result = thread.get() :param async_req bool :param str backupfile: File name of file to load (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_load_backup_with_http_info(backupfile, **kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_load_backup_with_http_info(backupfile, **kwargs) # noqa: E501 return data def get_user_usage_stats_load_backup_with_http_info(self, backupfile, **kwargs): # noqa: E501 """Loads a backup from a file # noqa: E501 No authentication required # 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_user_usage_stats_load_backup_with_http_info(backupfile, async_req=True) >>> result = thread.get() :param async_req bool :param str backupfile: File name of file to load (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['backupfile'] # 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_user_usage_stats_load_backup" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'backupfile' is set if ('backupfile' not in params or params['backupfile'] is None): raise ValueError("Missing the required parameter `backupfile` when calling `get_user_usage_stats_load_backup`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'backupfile' in params: query_params.append(('backupfile', params['backupfile'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/load_backup', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_moviesreport(self, **kwargs): # noqa: E501 """Gets Movies counts # noqa: E501 No authentication required # 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_user_usage_stats_moviesreport(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_moviesreport_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_moviesreport_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_moviesreport_with_http_info(self, **kwargs): # noqa: E501 """Gets Movies counts # noqa: E501 No authentication required # 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_user_usage_stats_moviesreport_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date'] # 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_user_usage_stats_moviesreport" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/MoviesReport', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_playactivity(self, **kwargs): # noqa: E501 """Gets play activity for number of days # noqa: E501 No authentication required # 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_user_usage_stats_playactivity(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :param str data_type: Data type to return (count,time) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_playactivity_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_playactivity_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_playactivity_with_http_info(self, **kwargs): # noqa: E501 """Gets play activity for number of days # noqa: E501 No authentication required # 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_user_usage_stats_playactivity_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :param str data_type: Data type to return (count,time) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date', 'filter', 'data_type'] # 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_user_usage_stats_playactivity" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'data_type' in params: query_params.append(('data_type', params['data_type'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/PlayActivity', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_process_list(self, **kwargs): # noqa: E501 """Gets a list of process Info # noqa: E501 No authentication required # 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_user_usage_stats_process_list(async_req=True) >>> result = thread.get() :param async_req bool :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_process_list_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_process_list_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_process_list_with_http_info(self, **kwargs): # noqa: E501 """Gets a list of process Info # noqa: E501 No authentication required # 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_user_usage_stats_process_list_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: object 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_user_usage_stats_process_list" % 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/process_list', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_resource_usage(self, **kwargs): # noqa: E501 """Gets Resource Usage Info # noqa: E501 No authentication required # 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_user_usage_stats_resource_usage(async_req=True) >>> result = thread.get() :param async_req bool :param int hours: Number of Hours :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_resource_usage_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_resource_usage_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_resource_usage_with_http_info(self, **kwargs): # noqa: E501 """Gets Resource Usage Info # noqa: E501 No authentication required # 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_user_usage_stats_resource_usage_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int hours: Number of Hours :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['hours'] # 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_user_usage_stats_resource_usage" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'hours' in params: query_params.append(('hours', params['hours'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/resource_usage', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_save_backup(self, **kwargs): # noqa: E501 """Saves a backup of the playback report data to the backup path # noqa: E501 No authentication required # 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_user_usage_stats_save_backup(async_req=True) >>> result = thread.get() :param async_req bool :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_save_backup_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_save_backup_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_save_backup_with_http_info(self, **kwargs): # noqa: E501 """Saves a backup of the playback report data to the backup path # noqa: E501 No authentication required # 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_user_usage_stats_save_backup_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: object 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_user_usage_stats_save_backup" % 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/save_backup', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_session_list(self, **kwargs): # noqa: E501 """Gets Session Info # noqa: E501 No authentication required # 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_user_usage_stats_session_list(async_req=True) >>> result = thread.get() :param async_req bool :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_session_list_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_session_list_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_session_list_with_http_info(self, **kwargs): # noqa: E501 """Gets Session Info # noqa: E501 No authentication required # 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_user_usage_stats_session_list_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: object 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_user_usage_stats_session_list" % 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/session_list', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_tvshowsreport(self, **kwargs): # noqa: E501 """Gets TV Shows counts # noqa: E501 No authentication required # 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_user_usage_stats_tvshowsreport(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_tvshowsreport_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_tvshowsreport_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_tvshowsreport_with_http_info(self, **kwargs): # noqa: E501 """Gets TV Shows counts # noqa: E501 No authentication required # 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_user_usage_stats_tvshowsreport_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date'] # 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_user_usage_stats_tvshowsreport" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/TvShowsReport', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_type_filter_list(self, **kwargs): # noqa: E501 """Gets types filter list items # noqa: E501 No authentication required # 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_user_usage_stats_type_filter_list(async_req=True) >>> result = thread.get() :param async_req bool :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_type_filter_list_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_type_filter_list_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_type_filter_list_with_http_info(self, **kwargs): # noqa: E501 """Gets types filter list items # noqa: E501 No authentication required # 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_user_usage_stats_type_filter_list_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: object 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_user_usage_stats_type_filter_list" % 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/type_filter_list', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_user_activity(self, **kwargs): # noqa: E501 """Gets a report of the available activity per hour # noqa: E501 No authentication required # 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_user_usage_stats_user_activity(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_user_activity_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_user_activity_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_user_activity_with_http_info(self, **kwargs): # noqa: E501 """Gets a report of the available activity per hour # noqa: E501 No authentication required # 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_user_usage_stats_user_activity_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['days', 'end_date'] # 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_user_usage_stats_user_activity" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/user_activity', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_user_list(self, **kwargs): # noqa: E501 """Get users # noqa: E501 No authentication required # 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_user_usage_stats_user_list(async_req=True) >>> result = thread.get() :param async_req bool :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_user_list_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_user_list_with_http_info(**kwargs) # noqa: E501 return data def get_user_usage_stats_user_list_with_http_info(self, **kwargs): # noqa: E501 """Get users # noqa: E501 No authentication required # 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_user_usage_stats_user_list_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: object 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_user_usage_stats_user_list" % 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/user_list', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_user_manage_by_action_by_id(self, action, id, **kwargs): # noqa: E501 """Get users # noqa: E501 No authentication required # 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_user_usage_stats_user_manage_by_action_by_id(action, id, async_req=True) >>> result = thread.get() :param async_req bool :param str action: action to perform (required) :param str id: user Id to perform the action on (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_user_manage_by_action_by_id_with_http_info(action, id, **kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_user_manage_by_action_by_id_with_http_info(action, id, **kwargs) # noqa: E501 return data def get_user_usage_stats_user_manage_by_action_by_id_with_http_info(self, action, id, **kwargs): # noqa: E501 """Get users # noqa: E501 No authentication required # 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_user_usage_stats_user_manage_by_action_by_id_with_http_info(action, id, async_req=True) >>> result = thread.get() :param async_req bool :param str action: action to perform (required) :param str id: user Id to perform the action on (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['action', '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_user_usage_stats_user_manage_by_action_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'action' is set if ('action' not in params or params['action'] is None): raise ValueError("Missing the required parameter `action` when calling `get_user_usage_stats_user_manage_by_action_by_id`") # noqa: E501 # 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_user_usage_stats_user_manage_by_action_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'action' in params: path_params['Action'] = params['action'] # noqa: E501 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/user_manage/{Action}/{Id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_userplaylist(self, user_id, **kwargs): # noqa: E501 """Gets a report of all played items for a user in a date period # noqa: E501 No authentication required # 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_user_usage_stats_userplaylist(user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: User Id (required) :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_user_usage_stats_userplaylist_with_http_info(user_id, **kwargs) # noqa: E501 else: (data) = self.get_user_usage_stats_userplaylist_with_http_info(user_id, **kwargs) # noqa: E501 return data def get_user_usage_stats_userplaylist_with_http_info(self, user_id, **kwargs): # noqa: E501 """Gets a report of all played items for a user in a date period # noqa: E501 No authentication required # 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_user_usage_stats_userplaylist_with_http_info(user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str user_id: User Id (required) :param int days: Number of Days :param str end_date: End date of the report in yyyy-MM-dd format :param str filter: Comma separated list of media types to filter (movies,series) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['user_id', 'days', 'end_date', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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_user_usage_stats_userplaylist" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in params or params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `get_user_usage_stats_userplaylist`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'user_id' in params: query_params.append(('user_id', params['user_id'])) # noqa: E501 if 'days' in params: query_params.append(('days', params['days'])) # noqa: E501 if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'filter' in params: query_params.append(('filter', params['filter'])) # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/UserPlaylist', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=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_user_usage_stats_import_backup(self, body, **kwargs): # noqa: E501 """Post a backup for importing # noqa: E501 No authentication required # 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_user_usage_stats_import_backup(body, async_req=True) >>> result = thread.get() :param async_req bool :param Object body: Binary stream (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_user_usage_stats_import_backup_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.post_user_usage_stats_import_backup_with_http_info(body, **kwargs) # noqa: E501 return data def post_user_usage_stats_import_backup_with_http_info(self, body, **kwargs): # noqa: E501 """Post a backup for importing # noqa: E501 No authentication required # 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_user_usage_stats_import_backup_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param Object body: Binary stream (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_user_usage_stats_import_backup" % 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_user_usage_stats_import_backup`") # 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/octet-stream']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/import_backup', '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_user_usage_stats_submit_custom_query(self, body, **kwargs): # noqa: E501 """Submit an SQL query # noqa: E501 No authentication required # 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_user_usage_stats_submit_custom_query(body, async_req=True) >>> result = thread.get() :param async_req bool :param PlaybackReportingApiCustomQuery body: CustomQuery (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_user_usage_stats_submit_custom_query_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.post_user_usage_stats_submit_custom_query_with_http_info(body, **kwargs) # noqa: E501 return data def post_user_usage_stats_submit_custom_query_with_http_info(self, body, **kwargs): # noqa: E501 """Submit an SQL query # noqa: E501 No authentication required # 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_user_usage_stats_submit_custom_query_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param PlaybackReportingApiCustomQuery body: CustomQuery (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_user_usage_stats_submit_custom_query" % 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_user_usage_stats_submit_custom_query`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # 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 = [] # noqa: E501 return self.api_client.call_api( '/user_usage_stats/submit_custom_query', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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b1c2576ebd086538618301156dc9d540e452b6c7

195

py

Python

clickpy/__main__.py

fitzlang/clickpy

5da15e3f42eea3a75c667546134e307ac853edbc

[ "MIT" ]

null

clickpy/__main__.py

fitzlang/clickpy

5da15e3f42eea3a75c667546134e307ac853edbc

[ "MIT" ]

7

2021-08-04T17:05:09.000Z

2021-08-05T04:30:23.000Z

clickpy/__main__.py

langnostic/clickpy

5da15e3f42eea3a75c667546134e307ac853edbc

[ "MIT" ]

null

"""Clickpy, Automated mouse clicking script.""" # pragma: no cover if __name__ == "__main__": # pragma: no cover from clickpy import run # pragma: no cover run() # pragma: no cover

27.857143

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7

5922b34f5d68f476b3cce86e51a45e9a1922b94f

16,540

py

Python

script/MidFlexMatchNeutralityPlot.py

mmore500/tag-olympics

23f89aa278b2866220696eddb89ecaa860e2d778

[ "MIT" ]

null

script/MidFlexMatchNeutralityPlot.py

mmore500/tag-olympics

23f89aa278b2866220696eddb89ecaa860e2d778

[ "MIT" ]

null

script/MidFlexMatchNeutralityPlot.py

mmore500/tag-olympics

23f89aa278b2866220696eddb89ecaa860e2d778

[ "MIT" ]

null

import matplotlib matplotlib.use('Agg') import pandas as pd import seaborn as sns import sys from matplotlib import pyplot as plt import seaborn as sns import pandas as pd import numpy as np from keyname import keyname as kn import itertools from keyname import keyname as kn from fileshash import fileshash as fsh # open-type fonts matplotlib.rcParams['pdf.fonttype'] = 42 df_key = pd.read_csv(sys.argv[1]) dataframe_filenames = sys.argv[2:] dfs = [ (filename, pd.read_csv(filename)) for filename in dataframe_filenames ] print("Data loaded!") res = [] for filename, df in dfs: # assumes datafiles are each from one replicate for k, v in kn.unpack(filename).items(): df[k] = v res.append(df) df_data = pd.concat(res) df_data['Slug'] = df_data['metric-slug'] key = { row['Slug'] : { col : row[col] for col, val in row.iteritems() if col != 'Slug' } for idx, row in df_key.iterrows() } df_data['Metric'] = df_data.apply( lambda x: key[x['Slug']]['Metric'], axis=1 ) df_data['Dimension'] = df_data.apply( lambda x: key[x['Slug']]['Dimension'], axis=1 ) df_data['Dimension Type'] = df_data.apply( lambda x: key[x['Slug']]['Dimension Type'], axis=1 ) df_data['Inverse'] = df_data.apply( lambda x: key[x['Slug']]['Inverse'], axis=1 ) df_data['Metric'] = df_data.apply( lambda x: ( ('Started ' if 'Started' in x['Metric'] else '') + key[x['Slug']]['Base Metric'] ), axis=1 ) df_data['Treatment'] = df_data['treatment'] df_data['Dimension Count'] = df_data['Dimension'] df_data['Dimension'] = df_data.apply( lambda x: x['Dimension Type'] + " " + str(x['Dimension']), axis=1 ) df_data['Target Size'] = df_data['target-size'] df_data['Target Configuration'] = df_data['target-config'] print("Data crunched!") plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') ].pivot_table( index=['Step', 'Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first' ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'ls' : list(itertools.islice( itertools.cycle(['-', '--', '-.', ':']), len(df_data['Metric'].unique()) )), 'color' : sns.color_palette() }, margin_titles=True ).set(ylim=(0, 0.5)) g.map( sns.lineplot, 'Updates Elapsed', 'Genetic Distance', style_order=list(df_data['Metric'].unique()) ).add_legend() assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-distance-update', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( df_data[ (df_data['Measure'] == 'Genetic Distance') & (df_data['Statistic'] == 'Median') ], col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'ls' : list(itertools.islice( itertools.cycle(['-', '--', '-.', ':']), len(df_data['Metric'].unique()) )), 'color' : sns.color_palette() }, margin_titles=True ) g.map( sns.lineplot, 'Step', 'Value', style_order=list(df_data['Metric'].unique()) ).add_legend().set_ylabels( "Genetic Distance" ).set_xlabels( "Fixed Mutational Step" ) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-step-distance', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) g = sns.FacetGrid( df_data[ (df_data['Measure'] == 'Updates Elapsed') & (df_data['Statistic'] == 'Median') ], col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'ls' : list(itertools.islice( itertools.cycle(['-', '--', '-.', ':']), len(df_data['Metric'].unique()) )), 'color' : sns.color_palette() }, margin_titles=True ) g.map( sns.lineplot, 'Step', 'Value', style_order=list(df_data['Metric'].unique()) ).add_legend().set_ylabels( "Updates Elapsed" ).set_xlabels( "Fixed Mutational Step" ) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-step-update', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], values='Step', aggfunc='max' ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Step', order=list(df_data['Metric'].unique()) ).set_ylabels("Fixed Mutations") g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-step-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], values='Step', aggfunc='max' ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Step', order=list(df_data['Metric'].unique()) ).set_ylabels("Fixed Mutations") g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-step-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') & (df_data['Step'] == 500) ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first', ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Genetic Distance', order=list(df_data['Metric'].unique()), ) g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-distance500-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') & (df_data['Step'] == 1000) ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first', ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Genetic Distance', order=list(df_data['Metric'].unique()), ) g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-distance1000-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') & (df_data['Step'] == 1500) ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first', ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Genetic Distance', order=list(df_data['Metric'].unique()), ) g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-distance1500-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') & (df_data['Step'] == 2000) ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first', ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Genetic Distance', order=list(df_data['Metric'].unique()), ) g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-distance2000-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile) plt.clf() g = sns.FacetGrid( data=df_data[ (df_data['Statistic'] == 'Median') & (df_data['Step'] == 1000) ].pivot_table( index=['Metric', 'seed', 'Target Configuration', 'Target Size'], columns='Measure', values='Value', aggfunc='first', ).reset_index(), col='Target Configuration', row='Target Size', hue='Metric', hue_kws={ 'color' : sns.color_palette() }, margin_titles=True, ) g.map( sns.barplot, 'Metric', 'Updates Elapsed', order=list(df_data['Metric'].unique()), ) g.set_xticklabels(rotation=-90) assert len({kn.unpack(f)['experiment'] for f in dataframe_filenames}) == 1 assert len({kn.unpack(f)['fit-fun'] for f in dataframe_filenames}) == 1 outfile = kn.pack({ 'experiment' : kn.unpack(dataframe_filenames[0])['experiment'], 'fit-fun' : kn.unpack(dataframe_filenames[0])['fit-fun'], 'viz' : 'neutrality-update1000-bar', '_data_hathash_hash' : fsh.FilesHash().hash_files(dataframe_filenames), '_script_fullcat_hash' : fsh.FilesHash( file_parcel="full_parcel", files_join="cat_join" ).hash_files([sys.argv[0]]), # '_source_hash' :kn.unpack(dataframe_filename)['_source_hash'], 'ext' : '.pdf' }) plt.savefig( outfile, transparent=True, bbox_inches='tight', pad_inches=0 ) print("output saved to", outfile)

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0.856557

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3cbd9ecda89d6967d7791261886b96f7ac070d13

18,826

py

Python

tests/sfp_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

91

2016-03-23T14:24:41.000Z

2022-03-18T20:25:37.000Z

tests/sfp_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

1,495

2017-02-15T10:49:10.000Z

2022-03-31T18:49:56.000Z

tests/sfp_test.py

sg893052/sonic-utilities

fdb79b8d65b8ca22232f4e6b140f593dd01613d5

[ "Apache-2.0" ]

466

2016-04-25T09:31:23.000Z

2022-03-31T06:54:17.000Z

import sys import os from click.testing import CliRunner from .mock_tables import dbconnector test_path = os.path.dirname(os.path.abspath(__file__)) modules_path = os.path.dirname(test_path) scripts_path = os.path.join(modules_path, "scripts") sys.path.insert(0, modules_path) import show.main as show test_sfp_eeprom_with_dom_output = """\ Ethernet0: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 ChannelMonitorValues: RX1Power: 0.3802dBm RX2Power: -0.4871dBm RX3Power: -0.0860dBm RX4Power: 0.3830dBm TX1Bias: 6.7500mA TX2Bias: 6.7500mA TX3Bias: 6.7500mA TX4Bias: 6.7500mA ChannelThresholdValues: RxPowerHighAlarm : 3.4001dBm RxPowerHighWarning: 2.4000dBm RxPowerLowAlarm : -13.5067dBm RxPowerLowWarning : -9.5001dBm TxBiasHighAlarm : 10.0000mA TxBiasHighWarning : 9.5000mA TxBiasLowAlarm : 0.5000mA TxBiasLowWarning : 1.0000mA ModuleMonitorValues: Temperature: 30.9258C Vcc: 3.2824Volts ModuleThresholdValues: TempHighAlarm : 75.0000C TempHighWarning: 70.0000C TempLowAlarm : -5.0000C TempLowWarning : 0.0000C VccHighAlarm : 3.6300Volts VccHighWarning : 3.4650Volts VccLowAlarm : 2.9700Volts VccLowWarning : 3.1349Volts """ test_qsfp_dd_eeprom_with_dom_output = """\ Ethernet8: SFP EEPROM detected Application Advertisement: 400GAUI-8 C2M (Annex 120E) - Active Cable assembly with BER < 2.6x10^-4 IB EDR (Arch.Spec.Vol.2) - Active Cable assembly with BER < 5x10^-5 IB QDR (Arch.Spec.Vol.2) - Active Cable assembly with BER < 10^-12 Connector: No separable connector Encoding: Not supported for CMIS cables Extended Identifier: Power Class 1(10.0W Max) Extended RateSelect Compliance: Not supported for CMIS cables Identifier: QSFP-DD Double Density 8X Pluggable Transceiver Length Cable Assembly(m): 10 Nominal Bit Rate(100Mbs): Not supported for CMIS cables Specification compliance: Not supported for CMIS cables Vendor Date Code(YYYY-MM-DD Lot): 2020-05-22 Vendor Name: INNOLIGHT Vendor OUI: 44-7c-7f Vendor PN: C-DQ8FNM010-N00 Vendor Rev: 2A Vendor SN: INKAO2900002A ChannelMonitorValues: RX1Power: -3.8595dBm RX2Power: 8.1478dBm RX3Power: -22.9243dBm RX4Power: 1.175dBm RX5Power: 1.2421dBm RX6Power: 8.1489dBm RX7Power: -3.5962dBm RX8Power: -3.6131dBm TX1Bias: 17.4760mA TX1Power: 1.175dBm TX2Bias: 17.4760mA TX2Power: 1.175dBm TX3Bias: 0.0000mA TX3Power: 1.175dBm TX4Bias: 0.0000mA TX4Power: 1.175dBm TX5Bias: 0.0000mAmA TX5Power: 1.175dBm TX6Bias: 8.2240mAmA TX6Power: 1.175dBm TX7Bias: 8.2240mAmA TX7Power: 1.175dBm TX8Bias: 8.2240mAmA TX8Power: 1.175dBm ChannelThresholdValues: RxPowerHighAlarm : 6.9999dBm RxPowerHighWarning: 4.9999dBm RxPowerLowAlarm : -11.9044dBm RxPowerLowWarning : -8.9008dBm TxBiasHighAlarm : 14.9960mA TxBiasHighWarning : 12.9980mA TxBiasLowAlarm : 4.4960mA TxBiasLowWarning : 5.0000mA TxPowerHighAlarm : 6.9999dBm TxPowerHighWarning: 4.9999dBm TxPowerLowAlarm : -10.5012dBm TxPowerLowWarning : -7.5007dBm ModuleMonitorValues: Temperature: 44.9883C Vcc: 3.2999Volts ModuleThresholdValues: TempHighAlarm : 80.0000C TempHighWarning: 75.0000C TempLowAlarm : -10.0000C TempLowWarning : -5.0000C VccHighAlarm : 3.6352Volts VccHighWarning : 3.4672Volts VccLowAlarm : 2.9696Volts VccLowWarning : 3.1304Volts """ test_sfp_eeprom_output = """\ Ethernet0: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 """ test_qsfp_dd_eeprom_output = """\ Ethernet8: SFP EEPROM detected Application Advertisement: 400GAUI-8 C2M (Annex 120E) - Active Cable assembly with BER < 2.6x10^-4 IB EDR (Arch.Spec.Vol.2) - Active Cable assembly with BER < 5x10^-5 IB QDR (Arch.Spec.Vol.2) - Active Cable assembly with BER < 10^-12 Connector: No separable connector Encoding: Not supported for CMIS cables Extended Identifier: Power Class 1(10.0W Max) Extended RateSelect Compliance: Not supported for CMIS cables Identifier: QSFP-DD Double Density 8X Pluggable Transceiver Length Cable Assembly(m): 10 Nominal Bit Rate(100Mbs): Not supported for CMIS cables Specification compliance: Not supported for CMIS cables Vendor Date Code(YYYY-MM-DD Lot): 2020-05-22 Vendor Name: INNOLIGHT Vendor OUI: 44-7c-7f Vendor PN: C-DQ8FNM010-N00 Vendor Rev: 2A Vendor SN: INKAO2900002A """ test_sfp_eeprom_dom_all_output = """\ Ethernet0: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 ChannelMonitorValues: RX1Power: 0.3802dBm RX2Power: -0.4871dBm RX3Power: -0.0860dBm RX4Power: 0.3830dBm TX1Bias: 6.7500mA TX2Bias: 6.7500mA TX3Bias: 6.7500mA TX4Bias: 6.7500mA ChannelThresholdValues: RxPowerHighAlarm : 3.4001dBm RxPowerHighWarning: 2.4000dBm RxPowerLowAlarm : -13.5067dBm RxPowerLowWarning : -9.5001dBm TxBiasHighAlarm : 10.0000mA TxBiasHighWarning : 9.5000mA TxBiasLowAlarm : 0.5000mA TxBiasLowWarning : 1.0000mA ModuleMonitorValues: Temperature: 30.9258C Vcc: 3.2824Volts ModuleThresholdValues: TempHighAlarm : 75.0000C TempHighWarning: 70.0000C TempLowAlarm : -5.0000C TempLowWarning : 0.0000C VccHighAlarm : 3.6300Volts VccHighWarning : 3.4650Volts VccLowAlarm : 2.9700Volts VccLowWarning : 3.1349Volts Ethernet4: SFP EEPROM Not detected Ethernet64: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 ChannelMonitorValues: RX1Power: 0.3802dBm RX2Power: -0.4871dBm RX3Power: -0.0860dBm RX4Power: 0.3830dBm TX1Bias: 6.7500mA TX2Bias: 6.7500mA TX3Bias: 6.7500mA TX4Bias: 6.7500mA ChannelThresholdValues: RxPowerHighAlarm : 3.4001dBm RxPowerHighWarning: 2.4000dBm RxPowerLowAlarm : -13.5067dBm RxPowerLowWarning : -9.5001dBm TxBiasHighAlarm : 10.0000mA TxBiasHighWarning : 9.5000mA TxBiasLowAlarm : 0.5000mA TxBiasLowWarning : 1.0000mA ModuleMonitorValues: Temperature: 30.9258C Vcc: 3.2824Volts ModuleThresholdValues: TempHighAlarm : 75.0000C TempHighWarning: 70.0000C TempLowAlarm : -5.0000C TempLowWarning : 0.0000C VccHighAlarm : 3.6300Volts VccHighWarning : 3.4650Volts VccLowAlarm : 2.9700Volts VccLowWarning : 3.1349Volts """ test_sfp_eeprom_all_output = """\ Ethernet0: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 Ethernet4: SFP EEPROM Not detected Ethernet64: SFP EEPROM detected Application Advertisement: N/A Connector: No separable connector Encoding: 64B66B Extended Identifier: Power Class 3(2.5W max), CDR present in Rx Tx Extended RateSelect Compliance: QSFP+ Rate Select Version 1 Identifier: QSFP28 or later Length Cable Assembly(m): 3 Nominal Bit Rate(100Mbs): 255 Specification compliance: 10/40G Ethernet Compliance Code: 40G Active Cable (XLPPI) Vendor Date Code(YYYY-MM-DD Lot): 2017-01-13 Vendor Name: Mellanox Vendor OUI: 00-02-c9 Vendor PN: MFA1A00-C003 Vendor Rev: AC Vendor SN: MT1706FT02064 """ test_sfp_presence_all_output = """\ Port Presence ---------- ----------- Ethernet0 Present Ethernet4 Not present Ethernet64 Present """ class TestSFP(object): @classmethod def setup_class(cls): print("SETUP") os.environ["PATH"] += os.pathsep + scripts_path os.environ["UTILITIES_UNIT_TESTING"] = "2" def test_sfp_presence(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["presence"], ["Ethernet0"]) expected = """Port Presence --------- ---------- Ethernet0 Present """ assert result.exit_code == 0 assert result.output == expected result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["presence"], ["Ethernet200"]) expected = """Port Presence ----------- ----------- Ethernet200 Not present """ assert result.exit_code == 0 assert result.output == expected def test_sfp_eeprom_with_dom(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet0 -d"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_with_dom_output def test_qsfp_dd_eeprom_with_dom(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet8 -d"]) assert result.exit_code == 0 assert "result.output == test_qsfp_dd_eeprom_with_dom_output" def test_sfp_eeprom(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet0"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_output result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet200"]) result_lines = result.output.strip('\n') expected = "Ethernet200: SFP EEPROM Not detected" assert result_lines == expected def test_qsfp_dd_eeprom(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet8"]) assert result.exit_code == 0 assert "result.output == test_qsfp_dd_eeprom_output" @classmethod def teardown_class(cls): print("TEARDOWN") os.environ["PATH"] = os.pathsep.join(os.environ["PATH"].split(os.pathsep)[:-1]) os.environ["UTILITIES_UNIT_TESTING"] = "0" os.environ["UTILITIES_UNIT_TESTING_TOPOLOGY"] = "" class Test_multiAsic_SFP(object): @classmethod def setup_class(cls): print("SETUP") os.environ["PATH"] += os.pathsep + scripts_path os.environ["UTILITIES_UNIT_TESTING"] = "2" os.environ["UTILITIES_UNIT_TESTING_TOPOLOGY"] = "multi_asic" def test_sfp_presence_with_ns(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["presence"], ["Ethernet0 -n asic0"]) expected = """Port Presence --------- ---------- Ethernet0 Present """ assert result.exit_code == 0 assert result.output == expected result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["presence"], ["Ethernet200 -n asic0"]) expected = """Port Presence ----------- ----------- Ethernet200 Not present """ assert result.exit_code == 0 assert result.output == expected def test_sfp_presence_all(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["presence"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_presence_all_output def test_sfp_eeprom_with_dom_with_ns(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet0 -d -n asic0"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_with_dom_output def test_sfp_eeprom_with_ns(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet0 -n asic0"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_output result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet200 -n asic0"]) result_lines = result.output.strip('\n') expected = "Ethernet200: SFP EEPROM Not detected" assert result_lines == expected def test_sfp_eeprom_with_ns(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet0 -n asic0"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_output result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["Ethernet200 -n asic0"]) result_lines = result.output.strip('\n') expected = "Ethernet200: SFP EEPROM Not detected" assert result_lines == expected def test_sfp_eeprom_all(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_all_output def test_sfp_eeprom_dom_all(self): runner = CliRunner() result = runner.invoke(show.cli.commands["interfaces"].commands["transceiver"].commands["eeprom"], ["-d"]) assert result.exit_code == 0 assert "\n".join([ l.rstrip() for l in result.output.split('\n')]) == test_sfp_eeprom_dom_all_output @classmethod def teardown_class(cls): print("TEARDOWN") os.environ["PATH"] = os.pathsep.join(os.environ["PATH"].split(os.pathsep)[:-1]) os.environ["UTILITIES_UNIT_TESTING"] = "0" os.environ["UTILITIES_UNIT_TESTING_TOPOLOGY"] = ""

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3cd6faac0d728cb873b71e576905e49524901bf5

22,952

py

Python

tests/plateform.py

gudhati/apptweak-api-python-library

f4a7f7e34548d6d216f3a297d63944c7adbf9667

[ "MIT" ]

5

2019-05-21T14:44:57.000Z

2020-10-30T04:08:13.000Z

tests/plateform.py

gudhati/apptweak-api-python-library

f4a7f7e34548d6d216f3a297d63944c7adbf9667

[ "MIT" ]

1

2020-08-28T02:42:37.000Z

2020-08-28T07:52:54.000Z

tests/plateform.py

gudhati/apptweak-api-python-library

f4a7f7e34548d6d216f3a297d63944c7adbf9667

[ "MIT" ]

5

2019-07-18T13:38:01.000Z

2021-06-09T04:12:35.000Z

from apptweak import apptweak import unittest from unittest.mock import patch @patch("apptweak.Ressource.http_request",return_value=True) @patch("json.loads",return_value=True) class TestPlateform(unittest.TestCase): @classmethod def setUpClass(cls): pass @classmethod def tearDownClass(cls): pass def setUp(self): pass def tearDown(self): pass def test_metadata(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.metadata(123,{'a':'b'})) self.assertTrue(apptweak.Ios.metadata(123)) with self.assertRaises(Exception): apptweak.Ios.metadata({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.metadata() with self.assertRaises(Exception): apptweak.Ios.metadata(123,'string') #ANDROID self.assertTrue(apptweak.Android.metadata("com.company",{'a':'b'})) self.assertTrue(apptweak.Android.metadata("com.company")) with self.assertRaises(Exception): apptweak.Android.metadata({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.metadata() with self.assertRaises(Exception): apptweak.Android.metadata("com.company",'string') def test_ratings(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.ratings(123,{'a':'b'})) self.assertTrue(apptweak.Ios.ratings(123)) with self.assertRaises(Exception): apptweak.Ios.ratings({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.ratings() with self.assertRaises(Exception): apptweak.Ios.ratings(123,'string') #ANDROID self.assertTrue(apptweak.Android.ratings("com.company",{'a':'b'})) self.assertTrue(apptweak.Android.ratings("com.company")) with self.assertRaises(Exception): apptweak.Android.ratings({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.ratings() with self.assertRaises(Exception): apptweak.Android.ratings("com.company",'string') def test_rankings(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.rankings(123,{'a':'b'})) self.assertTrue(apptweak.Ios.rankings(123)) with self.assertRaises(Exception): apptweak.Ios.rankings({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.rankings() with self.assertRaises(Exception): apptweak.Ios.rankings(123,'string') #ANDROID self.assertTrue(apptweak.Android.rankings("com.company",{'country':'us'})) with self.assertRaises(Exception): apptweak.Android.rankings("com.company",{'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.rankings("com.company") with self.assertRaises(Exception): apptweak.Android.rankings({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.rankings() with self.assertRaises(Exception): apptweak.Android.rankings("com.company",'string') def test_power(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.power(app_id,{'country':'b'})) with self.assertRaises(Exception): apptweak.Ios.power(app_id) with self.assertRaises(Exception): apptweak.Ios.power(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Ios.power({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.power() with self.assertRaises(Exception): apptweak.Ios.power(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.power(app_id,{'country':'b'})) with self.assertRaises(Exception): apptweak.Android.power(app_id) with self.assertRaises(Exception): apptweak.Android.power(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.power({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.power() with self.assertRaises(Exception): apptweak.Android.power(app_id,'string') def test_backlinks(self, mock_load, mock_res): #IOS app_id = 123 with self.assertRaises(Exception): apptweak.Ios.backlinks(app_id) with self.assertRaises(Exception): apptweak.Ios.backlinks(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Ios.backlinks({'a':'b'}) with self.assertRaises(Exception): apptweak.Ios.backlinks() with self.assertRaises(Exception): apptweak.Ios.backlinks(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.backlinks(app_id)) self.assertTrue(apptweak.Android.backlinks(app_id),{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.backlinks({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.backlinks() with self.assertRaises(TypeError): apptweak.Android.backlinks(app_id,'string') def test_downloads(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.downloads(app_id,{'a':'b'})) self.assertTrue(apptweak.Ios.downloads(app_id)) with self.assertRaises(Exception): apptweak.Ios.downloads({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.downloads() with self.assertRaises(Exception): apptweak.Ios.downloads(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.downloads(app_id,{'a':'b'})) self.assertTrue(apptweak.Android.downloads(app_id)) with self.assertRaises(Exception): apptweak.Android.downloads({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.downloads() with self.assertRaises(Exception): apptweak.Android.downloads(app_id,'string') def test_revenues(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.revenues(app_id,{'a':'b'})) self.assertTrue(apptweak.Ios.revenues(app_id)) with self.assertRaises(Exception): apptweak.Ios.revenues({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.revenues() with self.assertRaises(Exception): apptweak.Ios.revenues(app_id,'string') #ANDROID app_id = "com.company" with self.assertRaises(Exception): apptweak.Android.revenues(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.revenues(app_id) with self.assertRaises(Exception): apptweak.Android.revenues({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.revenues() with self.assertRaises(Exception): apptweak.Android.revenues(app_id,'string') def test_reviews(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.reviews(app_id,{'a':'b'})) self.assertTrue(apptweak.Ios.reviews(app_id)) with self.assertRaises(Exception): apptweak.Ios.reviews({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.reviews() with self.assertRaises(Exception): apptweak.Ios.reviews(app_id,'string') #ANDROID app_id = "com.company" with self.assertRaises(Exception): apptweak.Android.reviews(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.reviews(app_id) with self.assertRaises(Exception): apptweak.Android.reviews({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.reviews() with self.assertRaises(Exception): apptweak.Android.reviews(app_id,'string') def test_searches(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.searches({'term':'b'})) with self.assertRaises(Exception): apptweak.Ios.searches(app_id) with self.assertRaises(Exception): apptweak.Ios.searches("string") with self.assertRaises(TypeError): apptweak.Ios.searches() with self.assertRaises(TypeError): apptweak.Ios.searches(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.searches({'term':'b'})) with self.assertRaises(Exception): apptweak.Android.searches(app_id) with self.assertRaises(Exception): apptweak.Android.searches({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.searches() with self.assertRaises(TypeError): apptweak.Android.searches(app_id,'string') def test_top_charts(self, mock_load, mock_res): #IOS cat_id = 123 self.assertTrue(apptweak.Ios.top_charts(cat_id,{'a':'b'})) self.assertTrue(apptweak.Ios.top_charts(cat_id)) with self.assertRaises(Exception): apptweak.Ios.top_charts({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.top_charts() with self.assertRaises(Exception): apptweak.Ios.top_charts(cat_id,'string') #ANDROID cat_id = "GAME" self.assertTrue(apptweak.Android.top_charts(cat_id,{'a':'b'})) self.assertTrue(apptweak.Android.top_charts(cat_id)) with self.assertRaises(Exception): apptweak.Android.top_charts({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.top_charts() with self.assertRaises(Exception): apptweak.Android.top_charts(cat_id,'string') def test_top_displayed_reviews(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.top_displayed_reviews(app_id,'most_useful',{'a':'b'})) self.assertTrue(apptweak.Ios.top_displayed_reviews(app_id,'most_useful')) with self.assertRaises(Exception): apptweak.Ios.top_displayed_reviews(app_id,'most_us') with self.assertRaises(TypeError): apptweak.Ios.top_displayed_reviews(app_id) with self.assertRaises(TypeError): apptweak.Ios.top_displayed_reviews() with self.assertRaises(Exception): apptweak.Ios.top_displayed_reviews(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Ios.top_displayed_reviews(app_id,'most_useful','string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.top_displayed_reviews(app_id,'most_useful',{'language':'us'})) with self.assertRaises(TypeError): apptweak.Android.top_displayed_reviews(app_id,'most_useful') with self.assertRaises(Exception): apptweak.Android.top_displayed_reviews(app_id,'most_us',{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.top_displayed_reviews(app_id,'most_us') with self.assertRaises(TypeError): apptweak.Android.top_displayed_reviews(app_id) with self.assertRaises(TypeError): apptweak.Android.top_displayed_reviews() with self.assertRaises(Exception): apptweak.Android.top_displayed_reviews(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.top_displayed_reviews(app_id,'most_useful','string') def test_filtered_reviews(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.filtered_reviews(app_id,{'term':'b'})) with self.assertRaises(Exception): apptweak.Ios.filtered_reviews({'a':'b'}) with self.assertRaises(Exception): apptweak.Ios.filtered_reviews(app_id,{'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.filtered_reviews() with self.assertRaises(Exception): apptweak.Ios.filtered_reviews(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.filtered_reviews(app_id,{'language':'en','term':'b'})) with self.assertRaises(Exception): apptweak.Android.filtered_reviews(app_id,{'term':'b'}) with self.assertRaises(Exception): apptweak.Android.filtered_reviews({'a':'b'}) with self.assertRaises(Exception): apptweak.Android.filtered_reviews(app_id,{'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.filtered_reviews() with self.assertRaises(Exception): apptweak.Android.filtered_reviews(app_id,'string') def test_review_stats(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.review_stats(app_id)) self.assertTrue(apptweak.Ios.review_stats(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Ios.review_stats({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.review_stats() with self.assertRaises(Exception): apptweak.Ios.review_stats(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.review_stats(app_id)) self.assertTrue(apptweak.Android.review_stats(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Android.review_stats({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.review_stats() with self.assertRaises(Exception): apptweak.Android.review_stats(app_id,'string') def test_app_top_keywords(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.app_top_keywords(app_id)) self.assertTrue(apptweak.Ios.app_top_keywords(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Ios.app_top_keywords({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.app_top_keywords() with self.assertRaises(Exception): apptweak.Ios.app_top_keywords(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.app_top_keywords(app_id)) self.assertTrue(apptweak.Android.app_top_keywords(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Android.app_top_keywords({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.app_top_keywords() with self.assertRaises(Exception): apptweak.Android.app_top_keywords(app_id,'string') def test_keywords_stats(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.keywords_stats({'keywords':['a']})) self.assertTrue(apptweak.Ios.keywords_stats({'keywords':['a','b']})) with self.assertRaises(TypeError): self.assertTrue(apptweak.Ios.keywords_stats()) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_stats({'keyword':['a','b']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_stats({'keywords':['a','b','a','b','a','b','a','b','9','10','11']})) #ANDROID self.assertTrue(apptweak.Android.keywords_stats({'keywords':['a']})) self.assertTrue(apptweak.Android.keywords_stats({'keywords':['a','b']})) with self.assertRaises(TypeError): self.assertTrue(apptweak.Android.keywords_stats()) with self.assertRaises(Exception): self.assertTrue(apptweak.Android.keywords_stats({'keyword':['a','b']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Android.keywords_stats({'keywords':['a','b','a','b','a','b','a','b','9','10','11']})) def test_keywords_competitors(self, mock_load, mock_res): #IOS app_id = 123 self.assertTrue(apptweak.Ios.keywords_competitors(app_id)) self.assertTrue(apptweak.Ios.keywords_competitors(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Ios.keywords_competitors({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.keywords_competitors() with self.assertRaises(Exception): apptweak.Ios.keywords_competitors(app_id,'string') #ANDROID app_id = "com.company" self.assertTrue(apptweak.Android.keywords_competitors(app_id)) self.assertTrue(apptweak.Android.keywords_competitors(app_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Android.keywords_competitors({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.keywords_competitors() with self.assertRaises(Exception): apptweak.Android.keywords_competitors(app_id,'string') def test_keywords_ranking_competitors(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keywords':['a'],'applications':[12]})) self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keywords':['a','b'],'applications':[12,13]})) with self.assertRaises(TypeError): self.assertTrue(apptweak.Ios.keywords_ranking_competitors()) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keyword':['a','b']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keywords':['a','b','a','b','a','b','a','b','9','10','11']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'applcations':[1,2]})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'applications':[5,4,3,2,1,6]})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keywords':['a','b','a','b','a','b','a','b','9','10','11'],'applications':[1,2]})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keyword':['a','b'],'applications':[5,4,3,2,1,6]})) #ANDROID self.assertTrue(apptweak.Android.keywords_ranking_competitors({'keywords':['a'],'applications':['12']})) self.assertTrue(apptweak.Android.keywords_ranking_competitors({'keywords':['a','b'],'applications':['12','13']})) with self.assertRaises(TypeError): self.assertTrue(apptweak.Android.keywords_ranking_competitors()) with self.assertRaises(Exception): self.assertTrue(apptweak.Android.keywords_ranking_competitors({'keyword':['a','b']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Android.keywords_ranking_competitors({'keywords':['a','b','a','b','a','b','a','b','9','10','11']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'applcations':['1','2']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'applications':['a','b','a','b','a','b','a']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keywords':['a','b','a','b','a','b','a','b','9','10','11'],'applications':['a','b']})) with self.assertRaises(Exception): self.assertTrue(apptweak.Ios.keywords_ranking_competitors({'keyword':['a','b'],'applications':['5','4','3','2','1','6']})) def test_category_top_keywords(self, mock_load, mock_res): #IOS cat_id = 123 self.assertTrue(apptweak.Ios.category_top_keywords(cat_id)) self.assertTrue(apptweak.Ios.category_top_keywords(cat_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Ios.category_top_keywords({'a':'b'}) with self.assertRaises(TypeError): apptweak.Ios.category_top_keywords() with self.assertRaises(Exception): apptweak.Ios.category_top_keywords(cat_id,'string') #ANDROID cat_id = "com.company" self.assertTrue(apptweak.Android.category_top_keywords(cat_id)) self.assertTrue(apptweak.Android.category_top_keywords(cat_id,{'a':'b'})) with self.assertRaises(Exception): apptweak.Android.category_top_keywords({'a':'b'}) with self.assertRaises(TypeError): apptweak.Android.category_top_keywords() with self.assertRaises(Exception): apptweak.Android.category_top_keywords(cat_id,'string') def test_keywords_trending(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.keywords_trending()) self.assertTrue(apptweak.Ios.keywords_trending({'a':'b'})) with self.assertRaises(Exception): apptweak.Ios.keywords_trending('string') #ANDROID app_id = "com.company" with self.assertRaises(Exception): apptweak.Android.keywords_trending(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.keywords_trending(app_id) with self.assertRaises(Exception): apptweak.Android.keywords_trending({'a':'b'}) with self.assertRaises(Exception): apptweak.Android.keywords_trending() with self.assertRaises(Exception): apptweak.Android.keywords_trending(app_id,'string') def test_keywords_volume_history(self, mock_load, mock_res): #IOS self.assertTrue(apptweak.Ios.keywords_volume_history({'keywords':['b']})) with self.assertRaises(Exception): apptweak.Ios.keywords_volume_history({'keywrds':['b']}) with self.assertRaises(TypeError): apptweak.Ios.keywords_volume_history() with self.assertRaises(Exception): apptweak.Ios.keywords_trending('string') #ANDROID app_id = "com.company" with self.assertRaises(Exception): apptweak.Android.keywords_volume_history(app_id,{'a':'b'}) with self.assertRaises(Exception): apptweak.Android.keywords_volume_history(app_id) with self.assertRaises(Exception): apptweak.Android.keywords_volume_history({'a':'b'}) with self.assertRaises(Exception): apptweak.Android.keywords_volume_history() with self.assertRaises(Exception): apptweak.Android.keywords_volume_history(app_id,'string') if __name__ == '__main__': unittest.main()

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0

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7

5960fac13e62fc0f3c13d38970fb9a591652d2d8

6,834

py

Python

medea/tests/test_mapper.py

kevinbeaty/medea

c200be0e781299d0f9064f5cb44b90d5c01dcfb3

[ "MIT" ]

3

2016-12-25T19:40:58.000Z

2021-02-22T08:46:55.000Z

medea/tests/test_mapper.py

kevinbeaty/medea

c200be0e781299d0f9064f5cb44b90d5c01dcfb3

[ "MIT" ]

null

medea/tests/test_mapper.py

kevinbeaty/medea

c200be0e781299d0f9064f5cb44b90d5c01dcfb3

[ "MIT" ]

null

""" MedeaMapper test """ from . import Person from .. import MedeaMapper def test_object_args_to_json(): bob = Person('Bob', 'Hope', '123 Main', '123', '1903-05-29') mapper = MedeaMapper('first_name', 'last_name') bob_json = { 'first_name': 'Bob', 'last_name': 'Hope'} assert mapper.to_json(bob) == bob_json mapper = MedeaMapper('first_name', 'last_name', 'address', 'phone_number', 'dob') bob_json = { 'first_name': 'Bob', 'last_name': 'Hope', 'address': '123 Main', 'phone_number': '123', 'dob': '1903-05-29'} assert mapper.to_json(bob) == bob_json def test_object_args_from_json(): bob = Person('Bob', 'Hope', '123 Main', '123', '1903-05-29') assert bob.first_name == 'Bob' assert bob.last_name == 'Hope' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' fred = Person('Fred', 'Rodgers', '234 Rock', '456', '1928-03-20') assert fred.first_name == 'Fred' assert fred.last_name == 'Rodgers' assert fred.address == '234 Rock' assert fred.phone_number == '456' assert fred.dob == '1928-03-20' bob_json = { 'first_name': 'Bob', 'last_name': 'Hope'} bob_json_full = { 'first_name': 'Bob', 'last_name': 'Hope', 'address': '123 Main', 'phone_number': '123', 'dob': '1903-05-29'} fred_json = { 'first_name': 'Fred', 'last_name': 'Rodgers'} fred_json_full = { 'first_name': 'Fred', 'last_name': 'Rodgers', 'address': '234 Rock', 'phone_number': '456', 'dob': '1928-03-20'} mapper = MedeaMapper('first_name', 'last_name') mapper_full = MedeaMapper('first_name', 'last_name', 'address', 'phone_number', 'dob') assert mapper.to_json(bob) == bob_json assert mapper.to_json(fred) == fred_json assert mapper_full.to_json(bob) == bob_json_full assert mapper_full.to_json(fred) == fred_json_full # Override Bob's name from Fred mapper.from_json(fred_json, bob) # Mapper only serializes names assert mapper.to_json(bob) == fred_json assert mapper_full.to_json(bob) != bob_json_full assert bob.first_name == 'Fred' assert bob.last_name == 'Rodgers' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' # Revert back to Bob's name mapper.from_json(bob_json, bob) assert mapper.to_json(bob) == bob_json assert mapper_full.to_json(bob) == bob_json_full # Map Fred onto Bob using only name mapper_full.from_json(fred_json, bob) assert mapper.to_json(bob) == fred_json assert mapper_full.to_json(bob) != bob_json_full assert bob.first_name == 'Fred' assert bob.last_name == 'Rodgers' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' # Revert back to Bob's name mapper.from_json(bob_json, bob) assert mapper.to_json(bob) == bob_json assert mapper_full.to_json(bob) == bob_json_full # Map Fred onto Bob mapper_full.from_json(fred_json_full, bob) assert mapper_full.to_json(bob) == fred_json_full # Map Bob back onto Bob mapper_full.from_json(bob_json_full, bob) assert mapper_full.to_json(bob) == bob_json_full def test_object_kwargs_to_json(): bob = Person('Bob', 'Hope', '123 Main', '123', '1903-05-29') mapper = MedeaMapper(first_name='firstName', last_name='lastName') bob_json = { 'firstName': 'Bob', 'lastName': 'Hope'} assert mapper.to_json(bob) == bob_json mapper = MedeaMapper('address', 'dob', first_name='firstName', last_name='lastName') bob_json = { 'firstName': 'Bob', 'lastName': 'Hope', 'address': '123 Main', 'dob': '1903-05-29'} assert mapper.to_json(bob) == bob_json def test_object_kwargs_from_json(): bob = Person('Bob', 'Hope', '123 Main', '123', '1903-05-29') assert bob.first_name == 'Bob' assert bob.last_name == 'Hope' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' fred = Person('Fred', 'Rodgers', '234 Rock', '456', '1928-03-20') assert fred.first_name == 'Fred' assert fred.last_name == 'Rodgers' assert fred.address == '234 Rock' assert fred.phone_number == '456' assert fred.dob == '1928-03-20' bob_json = { 'firstName': 'Bob', 'lastName': 'Hope'} bob_json_full = { 'firstName': 'Bob', 'lastName': 'Hope', 'address': '123 Main', 'phoneNumber': '123', 'DOB': '1903-05-29'} fred_json = { 'firstName': 'Fred', 'lastName': 'Rodgers'} fred_json_full = { 'firstName': 'Fred', 'lastName': 'Rodgers', 'address': '234 Rock', 'phoneNumber': '456', 'DOB': '1928-03-20'} mapper = MedeaMapper(first_name='firstName', last_name='lastName') mapper_full = MedeaMapper('address', first_name='firstName', last_name='lastName', phone_number='phoneNumber', dob='DOB') assert mapper.to_json(bob) == bob_json assert mapper.to_json(fred) == fred_json assert mapper_full.to_json(bob) == bob_json_full assert mapper_full.to_json(fred) == fred_json_full # Override Bob's name from Fred mapper.from_json(fred_json, bob) # Mapper only serializes names assert mapper.to_json(bob) == fred_json assert mapper_full.to_json(bob) != bob_json_full assert bob.first_name == 'Fred' assert bob.last_name == 'Rodgers' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' # Revert back to Bob's name mapper.from_json(bob_json, bob) assert mapper.to_json(bob) == bob_json assert mapper_full.to_json(bob) == bob_json_full # Map Fred onto Bob using only name mapper_full.from_json(fred_json, bob) assert mapper.to_json(bob) == fred_json assert mapper_full.to_json(bob) != bob_json_full assert bob.first_name == 'Fred' assert bob.last_name == 'Rodgers' assert bob.address == '123 Main' assert bob.phone_number == '123' assert bob.dob == '1903-05-29' # Revert back to Bob's name mapper.from_json(bob_json, bob) assert mapper.to_json(bob) == bob_json assert mapper_full.to_json(bob) == bob_json_full # Map Fred onto Bob mapper_full.from_json(fred_json_full, bob) assert mapper_full.to_json(bob) == fred_json_full # Map Bob back onto Bob mapper_full.from_json(bob_json_full, bob) assert mapper_full.to_json(bob) == bob_json_full

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0

8

599b622747b56560dc91cef6be7556b3dcbbef00

154

py

Python

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/__init__.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/__init__.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_0/_pkg0_0_0/_pkg0_0_0_0/_pkg0_0_0_0_0/__init__.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from ._mod0_0_0_0_0_0 import * from ._mod0_0_0_0_0_1 import * from ._mod0_0_0_0_0_2 import * from ._mod0_0_0_0_0_3 import * from ._mod0_0_0_0_0_4 import *

30.8

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0.252632

0.884211

0.757895

0

0.222222

0.123377

154

5

31

30.8

0.481481

0

1

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true

0

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