
    -2iE                       d dl mZ d dlmZmZmZ d dlmZ d dlZddl	m
Z
 ddlmZmZmZmZmZmZmZ ddlmZmZ dd	lmZ dd
lmZmZ ddlmZmZ ddlmZm Z  ddl!m"Z"m#Z#m$Z$ ddl%m&Z&m'Z' ddl(m)Z) ddl*m+Z+ ddl,m-Z- ddl.m/Z/ ddl0m1Z1 ddl2m3Z3 ddl4m5Z5 ddgZ6 G d de          Z7 G d de          Z8 G d d          Z9 G d d          Z: G d d          Z; G d  d!          Z<dS )"    )annotations)UnionIterableOptional)LiteralN   )_legacy_response)BodyOmitQueryHeadersNotGivenomit	not_given)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)assistant_list_paramsassistant_create_paramsassistant_update_params)AsyncPaginatormake_request_options)	Assistant)	ChatModel)AssistantDeleted)Metadata)ReasoningEffort)AssistantToolParam)"AssistantResponseFormatOptionParam
AssistantsAsyncAssistantsc                      e Zd Zed9d            Zed:d            Zeeeeeeeeeedddedd;d$Zddded%d<d(Z	eeeeeeeeeeeddded)d=d,Z
eeeeddded-d>d6Zddded%d?d8ZdS )@r&   returnAssistantsWithRawResponsec                     t          |           S a  
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
        )r*   selfs    _/var/www/html/pixcura-vrs/venv/lib/python3.11/site-packages/openai/resources/beta/assistants.pywith_raw_responsezAssistants.with_raw_response#   s     )...    AssistantsWithStreamingResponsec                     t          |           S z
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/openai/openai-python#with_streaming_response
        )r2   r-   s    r/   with_streaming_responsez"Assistants.with_streaming_response-   s     /t444r1   Ndescriptioninstructionsmetadatanamereasoning_effortresponse_formattemperaturetool_resourcestoolstop_pextra_headersextra_query
extra_bodytimeoutmodelUnion[str, ChatModel]r7   Optional[str] | Omitr8   r9   Optional[Metadata] | Omitr:   r;    Optional[ReasoningEffort] | Omitr<   3Optional[AssistantResponseFormatOptionParam] | Omitr=   Optional[float] | Omitr>   6Optional[assistant_create_params.ToolResources] | Omitr?   #Iterable[AssistantToolParam] | Omitr@   rA   Headers | NonerB   Query | NonerC   Body | NonerD   'float | httpx.Timeout | None | NotGivenr   c                   ddi|pi }|                      dt          |||||||||	|
|dt          j                  t	          ||||          t
                    S )  
        Create an assistant with a model and instructions.

        Args:
          model: ID of the model to use. You can use the
              [List models](https://platform.openai.com/docs/api-reference/models/list) API to
              see all of your available models, or see our
              [Model overview](https://platform.openai.com/docs/models) for descriptions of
              them.

          description: The description of the assistant. The maximum length is 512 characters.

          instructions: The system instructions that the assistant uses. The maximum length is 256,000
              characters.

          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          name: The name of the assistant. The maximum length is 256 characters.

          reasoning_effort: Constrains effort on reasoning for
              [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
              supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
              Reducing reasoning effort can result in faster responses and fewer tokens used
              on reasoning in a response.

              - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
                reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
                calls are supported for all reasoning values in gpt-5.1.
              - All models before `gpt-5.1` default to `medium` reasoning effort, and do not
                support `none`.
              - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
              - `xhigh` is currently only supported for `gpt-5.1-codex-max`.

          response_format: Specifies the format that the model must output. Compatible with
              [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
              [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
              and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

              Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
              Outputs which ensures the model will match your supplied JSON schema. Learn more
              in the
              [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).

              Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
              message the model generates is valid JSON.

              **Important:** when using JSON mode, you **must** also instruct the model to
              produce JSON yourself via a system or user message. Without this, the model may
              generate an unending stream of whitespace until the generation reaches the token
              limit, resulting in a long-running and seemingly "stuck" request. Also note that
              the message content may be partially cut off if `finish_reason="length"`, which
              indicates the generation exceeded `max_tokens` or the conversation exceeded the
              max context length.

          temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
              make the output more random, while lower values like 0.2 will make it more
              focused and deterministic.

          tool_resources: A set of resources that are used by the assistant's tools. The resources are
              specific to the type of tool. For example, the `code_interpreter` tool requires
              a list of file IDs, while the `file_search` tool requires a list of vector store
              IDs.

          tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
              assistant. Tools can be of types `code_interpreter`, `file_search`, or
              `function`.

          top_p: An alternative to sampling with temperature, called nucleus sampling, where the
              model considers the results of the tokens with top_p probability mass. So 0.1
              means only the tokens comprising the top 10% probability mass are considered.

              We generally recommend altering this or temperature but not both.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        OpenAI-Betaassistants=v2/assistantsrE   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   bodyoptionscast_to)_postr   r   AssistantCreateParamsr   r   r.   rE   r7   r8   r9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   s                   r/   createzAssistants.create6   s    V 'QM<ORQzz "#.$0 ( (8'6#.&4""  (=   )+Q[el   +  
 
 	
r1   rX   assistant_idstrc          	         |st          d|          ddi|pi }|                     d| t          ||||          t                    S )K  
        Retrieves an assistant.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        ;Expected a non-empty value for `assistant_id` but received rT   rU   /assistants/rX   r[   r\   
ValueError_getr   r   r.   ra   rA   rB   rC   rD   s         r/   retrievezAssistants.retrieve   s    .  	mk[gkklll&QM<ORQyy)<))(+Q[el     
 
 	
r1   r7   r8   r9   rE   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   3  Union[str, Literal['gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-2025-08-07', 'gpt-5-mini-2025-08-07', 'gpt-5-nano-2025-08-07', 'gpt-4.1', 'gpt-4.1-mini', 'gpt-4.1-nano', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano-2025-04-14', 'o3-mini', 'o3-mini-2025-01-31', 'o1', 'o1-2024-12-17', 'gpt-4o', 'gpt-4o-2024-11-20', 'gpt-4o-2024-08-06', 'gpt-4o-2024-05-13', 'gpt-4o-mini', 'gpt-4o-mini-2024-07-18', 'gpt-4.5-preview', 'gpt-4.5-preview-2025-02-27', 'gpt-4-turbo', 'gpt-4-turbo-2024-04-09', 'gpt-4-0125-preview', 'gpt-4-turbo-preview', 'gpt-4-1106-preview', 'gpt-4-vision-preview', 'gpt-4', 'gpt-4-0314', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-32k-0314', 'gpt-4-32k-0613', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-1106', 'gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613']] | Omit6Optional[assistant_update_params.ToolResources] | Omitc                   |st          d|          ddi|pi }|                     d| t          ||||||||	|
||dt          j                  t          ||||          t                    S )  Modifies an assistant.

        Args:
          description: The description of the assistant.

        The maximum length is 512 characters.

          instructions: The system instructions that the assistant uses. The maximum length is 256,000
              characters.

          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          model: ID of the model to use. You can use the
              [List models](https://platform.openai.com/docs/api-reference/models/list) API to
              see all of your available models, or see our
              [Model overview](https://platform.openai.com/docs/models) for descriptions of
              them.

          name: The name of the assistant. The maximum length is 256 characters.

          reasoning_effort: Constrains effort on reasoning for
              [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
              supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`.
              Reducing reasoning effort can result in faster responses and fewer tokens used
              on reasoning in a response.

              - `gpt-5.1` defaults to `none`, which does not perform reasoning. The supported
                reasoning values for `gpt-5.1` are `none`, `low`, `medium`, and `high`. Tool
                calls are supported for all reasoning values in gpt-5.1.
              - All models before `gpt-5.1` default to `medium` reasoning effort, and do not
                support `none`.
              - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
              - `xhigh` is currently only supported for `gpt-5.1-codex-max`.

          response_format: Specifies the format that the model must output. Compatible with
              [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
              [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
              and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.

              Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
              Outputs which ensures the model will match your supplied JSON schema. Learn more
              in the
              [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).

              Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
              message the model generates is valid JSON.

              **Important:** when using JSON mode, you **must** also instruct the model to
              produce JSON yourself via a system or user message. Without this, the model may
              generate an unending stream of whitespace until the generation reaches the token
              limit, resulting in a long-running and seemingly "stuck" request. Also note that
              the message content may be partially cut off if `finish_reason="length"`, which
              indicates the generation exceeded `max_tokens` or the conversation exceeded the
              max context length.

          temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
              make the output more random, while lower values like 0.2 will make it more
              focused and deterministic.

          tool_resources: A set of resources that are used by the assistant's tools. The resources are
              specific to the type of tool. For example, the `code_interpreter` tool requires
              a list of file IDs, while the `file_search` tool requires a list of vector store
              IDs.

          tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
              assistant. Tools can be of types `code_interpreter`, `file_search`, or
              `function`.

          top_p: An alternative to sampling with temperature, called nucleus sampling, where the
              model considers the results of the tokens with top_p probability mass. So 0.1
              means only the tokens comprising the top 10% probability mass are considered.

              We generally recommend altering this or temperature but not both.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        re   rT   rU   rf   r7   r8   r9   rE   r:   r;   r<   r=   r>   r?   r@   rX   rY   )ri   r]   r   r   AssistantUpdateParamsr   r   r.   ra   r7   r8   r9   rE   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   s                    r/   updatezAssistants.update   s    x  	mk[gkklll&QM<ORQzz)<)) #.$0 (" (8'6#.&4""  (=   )+Q[el   +  
 
 	
r1   afterbeforelimitorderrA   rB   rC   rD   rw   
str | Omitrx   ry   
int | Omitrz   Literal['asc', 'desc'] | OmitSyncCursorPage[Assistant]c                   ddi|pi }|                      dt          t                   t          ||||t	          ||||dt
          j                            t                    S a  Returns a list of assistants.

        Args:
          after: A cursor for use in pagination.

        `after` is an object ID that defines your place
              in the list. For instance, if you make a list request and receive 100 objects,
              ending with obj_foo, your subsequent call can include after=obj_foo in order to
              fetch the next page of the list.

          before: A cursor for use in pagination. `before` is an object ID that defines your place
              in the list. For instance, if you make a list request and receive 100 objects,
              starting with obj_foo, your subsequent call can include before=obj_foo in order
              to fetch the previous page of the list.

          limit: A limit on the number of objects to be returned. Limit can range between 1 and
              100, and the default is 20.

          order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
              order and `desc` for descending order.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        rT   rU   rV   )rw   rx   ry   rz   )rA   rB   rC   rD   query)pager[   rE   )_get_api_listr   r   r   r   r   AssistantListParams	r.   rw   rx   ry   rz   rA   rB   rC   rD   s	            r/   listzAssistants.list  s    V 'QM<ORQ!!	*(+'%%!&"(!&!&	  *=    % " 
 
 	
r1   r!   c          	         |st          d|          ddi|pi }|                     d| t          ||||          t                    S )H  
        Delete an assistant.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        re   rT   rU   rf   rX   rg   ri   _deleter   r!   rk   s         r/   deletezAssistants.delete  s    .  	mk[gkklll&QM<ORQ||)<))(+Q[el   %  
 
 	
r1   )r)   r*   )r)   r2    rE   rF   r7   rG   r8   rG   r9   rH   r:   rG   r;   rI   r<   rJ   r=   rK   r>   rL   r?   rM   r@   rK   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r   ra   rb   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r   "ra   rb   r7   rG   r8   rG   r9   rH   rE   rn   r:   rG   r;   rI   r<   rJ   r=   rK   r>   ro   r?   rM   r@   rK   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r   )rw   r{   rx   r{   ry   r|   rz   r}   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r~   ra   rb   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r!   __name__
__module____qualname__r   r0   r5   r   r   r`   rl   ru   r   r    r1   r/   r&   r&   "   s       / / / _/ 5 5 5 _5 -1-1.2%)=AOS.2QU59(, )-$("&;D'B
 B
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T )-$("&;D 
  
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L -1-1.2` %)=AOS.2QU59(, )-$("&;DGu
 u
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t !! /3 )-$("&;D?
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N )-$("&;D 
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r1   c                      e Zd Zed9d            Zed:d            Zeeeeeeeeeedddedd;d$Zddded%d<d(Z	eeeeeeeeeeeddded)d=d,Z
eeeeddded-d>d6Zddded%d?d8ZdS )@r'   r)   AsyncAssistantsWithRawResponsec                     t          |           S r,   )r   r-   s    r/   r0   z!AsyncAssistants.with_raw_response  s     .d333r1   $AsyncAssistantsWithStreamingResponsec                     t          |           S r4   )r   r-   s    r/   r5   z'AsyncAssistants.with_streaming_response  s     4D999r1   Nr6   rE   rF   r7   rG   r8   r9   rH   r:   r;   rI   r<   rJ   r=   rK   r>   rL   r?   rM   r@   rA   rN   rB   rO   rC   rP   rD   rQ   r   c                  K   ddi|pi }|                      dt          |||||||||	|
|dt          j                   d{V t	          ||||          t
                     d{V S )rS   rT   rU   rV   rW   NrX   rY   )r]   r   r   r^   r   r   r_   s                   r/   r`   zAsyncAssistants.create  s      V 'QM<ORQZZ,"#.$0 ( (8'6#.&4""  (=         )+Q[el   +   
 
 
 
 
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 	
r1   rX   ra   rb   c          	        K   |st          d|          ddi|pi }|                     d| t          ||||          t                     d{V S )rd   re   rT   rU   rf   rX   rg   Nrh   rk   s         r/   rl   zAsyncAssistants.retrieve  s      .  	mk[gkklll&QM<ORQYY)<))(+Q[el     
 
 
 
 
 
 
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 	
r1   rm   rn   ro   c                 K   |st          d|          ddi|pi }|                     d| t          ||||||||	|
||dt          j                   d{V t          ||||          t                     d{V S )	rq   re   rT   rU   rf   rr   NrX   rY   )ri   r]   r   r   rs   r   r   rt   s                    r/   ru   zAsyncAssistants.update  s     x  	mk[gkklll&QM<ORQZZ)<)),#.$0 (" (8'6#.&4""  (=         )+Q[el   +   
 
 
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 
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 	
r1   rv   rw   r{   rx   ry   r|   rz   r}   5AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]c                   ddi|pi }|                      dt          t                   t          ||||t	          ||||dt
          j                            t                    S r   )r   r   r   r   r   r   r   r   s	            r/   r   zAsyncAssistants.listh  s    V 'QM<ORQ!! +(+'%%!&"(!&!&	  *=    % " 
 
 	
r1   r!   c          	        K   |st          d|          ddi|pi }|                     d| t          ||||          t                     d{V S )r   re   rT   rU   rf   rX   rg   Nr   rk   s         r/   r   zAsyncAssistants.delete  s      .  	mk[gkklll&QM<ORQ\\)<))(+Q[el   % " 
 
 
 
 
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 	
r1   )r)   r   )r)   r   r   r   r   )rw   r{   rx   r{   ry   r|   rz   r}   rA   rN   rB   rO   rC   rP   rD   rQ   r)   r   r   r   r   r1   r/   r'   r'     s       4 4 4 _4 : : : _: -1-1.2%)=AOS.2QU59(, )-$("&;D'B
 B
 B
 B
 B
 B
T )-$("&;D 
  
  
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L -1-1.2` %)=AOS.2QU59(, )-$("&;DGu
 u
 u
 u
 u
 u
t !! /3 )-$("&;D?
 ?
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N )-$("&;D 
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r1   c                      e Zd ZddZdS )r*   
assistantsr&   r)   Nonec                @   || _         t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        d S N)_assistantsr	   to_raw_response_wrapperr`   rl   ru   r   r   r.   r   s     r/   __init__z"AssistantsWithRawResponse.__init__  s    %&>
 
 )@
 
 '>
 
 %<O
 
	 '>
 
r1   Nr   r&   r)   r   r   r   r   r   r   r1   r/   r*   r*     (        
 
 
 
 
 
r1   r*   c                      e Zd ZddZdS )r   r   r'   r)   r   c                @   || _         t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        t          j        |j                  | _        d S r   )r   r	   async_to_raw_response_wrapperr`   rl   ru   r   r   r   s     r/   r   z'AsyncAssistantsWithRawResponse.__init__  s    %&D
 
 )F
 
 'D
 
 %BO
 
	 'D
 
r1   Nr   r'   r)   r   r   r   r1   r/   r   r     r   r1   r   c                      e Zd ZddZdS )r2   r   r&   r)   r   c                   || _         t          |j                  | _        t          |j                  | _        t          |j                  | _        t          |j                  | _        t          |j                  | _        d S r   )r   r   r`   rl   ru   r   r   r   s     r/   r   z(AssistantsWithStreamingResponse.__init__  s    %2
 
 5
 
 3
 
 1O
 
	 3
 
r1   Nr   r   r   r1   r/   r2   r2     r   r1   r2   c                      e Zd ZddZdS )r   r   r'   r)   r   c                   || _         t          |j                  | _        t          |j                  | _        t          |j                  | _        t          |j                  | _        t          |j                  | _        d S r   )r   r   r`   rl   ru   r   r   r   s     r/   r   z-AsyncAssistantsWithStreamingResponse.__init__  s    %8
 
 ;
 
 9
 
 7O
 
	 9
 
r1   Nr   r   r   r1   r/   r   r     r   r1   r   )=
__future__r   typingr   r   r   typing_extensionsr   httpx r	   _typesr
   r   r   r   r   r   r   _utilsr   r   _compatr   	_resourcer   r   	_responser   r   
paginationr   r   
types.betar   r   r   _base_clientr   r   types.beta.assistantr   types.shared.chat_modelr    types.beta.assistant_deletedr!   types.shared_params.metadatar"   types.shared.reasoning_effortr#   types.beta.assistant_tool_paramr$   1types.beta.assistant_response_format_option_paramr%   __all__r&   r'   r*   r   r2   r   r   r1   r/   <module>r      s   # " " " " " , , , , , , , , , , % % % % % %              K K K K K K K K K K K K K K K K K K < < < < < < < < & & & & & & : : : : : : : : Y Y Y Y Y Y Y Y 9 9 9 9 9 9 9 9         
 A @ @ @ @ @ @ @ - - - - - - 0 0 0 0 0 0 < < < < < < 4 4 4 4 4 4 < < < < < < A A A A A A c c c c c c*
+R
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r1   