§
    é˜ºhïH  ã                  óÊ   — d Z ddlmZ ddlmZ ddlZddlZddlmZ ddl	m
Z ddlmZ ddlmZ dd	lmZ dd
lmZ ddlmZ dZdZdZdZ G d„ d¦  «        Z G d„ d¦  «        ZdS )z+Classes for working with the Gemini models.é    )Úannotations)ÚIterableN)ÚUnion)Úgenerativelanguage)Úclient)Ústring_utils)Úcontent_types)Úgeneration_types)Úsafety_typesz8The async version of `GenerativeModel.generate_content`.a>  A multipurpose function to generate responses from the model.

This `GenerativeModel.generate_content` method can handle multimodal input, and multi-turn
conversations.

>>> model = genai.GenerativeModel('models/gemini-pro')
>>> result = model.generate_content('Tell me a story about a magic backpack')
>>> response.text

### Streaming

This method supports streaming with the `stream=True`. The result has the same type as the non streaming case,
but you can iterate over the response chunks as they become available:

>>> result = model.generate_content('Tell me a story about a magic backpack', stream=True)
>>> for chunk in response:
...   print(chunk.text)

### Multi-turn

This method supports multi-turn chats but is **stateless**: the entire conversation history needs to be sent with each
request. This takes some manual management but gives you complete control:

>>> messages = [{'role':'user', 'parts': ['hello']}]
>>> response = model.generate_content(messages) # "Hello, how can I help"
>>> messages.append(response.candidates[0].content)
>>> messages.append({'role':'user', 'parts': ['How does quantum physics work?']})
>>> response = model.generate_content(messages) 

For a simpler multi-turn interface see `GenerativeModel.start_chat`.

### Input type flexibility

While the underlying API strictly expects a `list[glm.Content]` objects, this method
will convert the user input into the correct type. The hierarchy of types that can be
converted is below. Any of these objects can be passed as an equivalent `dict`.

* `Iterable[glm.Content]`
* `glm.Content`
* `Iterable[glm.Part]`
* `glm.Part`
* `str`, `Image`, or `glm.Blob`

In an `Iterable[glm.Content]` each `content` is a separate message.
But note that an `Iterable[glm.Part]` is taken as the parts of a single message.

Arguments:
    contents: The contents serving as the model's prompt.
    generation_config: Overrides for the model's generation config.
    safety_settings: Overrides for the model's safety settings.
    stream: If True, yield response chunks as they are generated. 
    tools: `glm.Tools` more info coming soon.
z0The async version of `ChatSession.send_message`.a‘  Sends the conversation history with the added message and returns the model's response.

Appends the request and response to the conversation history.

>>> model = genai.GenerativeModel(model="gemini-pro")
>>> chat = model.start_chat()
>>> response = chat.send_message("Hello")
>>> print(response.text)
"Hello! How can I assist you today?"
>>> len(chat.history)
2

Call it with `stream=True` to receive response chunks as they are generated:

>>> chat = model.start_chat()
>>> response = chat.send_message("Explain quantum physics", stream=True)
>>> for chunk in response:
...   print(chunk.text, end='')

Once iteration over chunks is complete, the `response` and `ChatSession` are in states identical to the
`stream=False` case. Some properties are not available until iteration is complete.

Like `GenerativeModel.generate_content` this method lets you override the model's `generation_config` and
`safety_settings`.

Arguments:
     content: The message contents.
     generation_config: Overrides for the model's generation config.
     safety_settings: Overrides for the model's safety settings.
     stream: If True, yield response chunks as they are generated.
c                  óî   — e Zd ZdZ	 	 	 	 d%d&d„Zed„ ¦   «         Zd„ ZeZdddœd'd„Z	 e
j        e¦  «        ddddœd(d„¦   «         Z e
j        e¦  «        ddddœd)d„¦   «         Zd*d„Zd*d„Zdd œd+d$„ZdS ),ÚGenerativeModela×  
    The `genai.GenerativeModel` class wraps default parameters for calls to
    `GenerativeModel.generate_message`, `GenerativeModel.count_tokens`, and
    `GenerativeModel.start_chat`.

    This family of functionality is designed to support multi-turn conversations, and multimodal
    requests. What media-types are supported for input and output is model-dependant.

    >>> import google.generativeai as genai
    >>> import PIL.Image
    >>> genai.configure(api_key='YOUR_API_KEY')
    >>> model = genai.GenerativeModel('models/gemini-pro')
    >>> result = model.generate_content('Tell me a story about a magic backpack')
    >>> result.text
    "In the quaint little town of Lakeside, there lived a young girl named Lily..."

    Multimodal input:

    >>> model = genai.GenerativeModel('models/gemini-pro')
    >>> result = model.generate_content([
    ...     "Give me a recipe for these:", PIL.Image.open('scones.jpeg')])
    >>> result.text
    "**Blueberry Scones** ..."

    Multi-turn conversation:

    >>> chat = model.start_chat()
    >>> response = chat.send_message("Hi, I have some questions for you.")
    >>> response.text
    "Sure, I'll do my best to answer your questions..."

    To list the compatible model names use:

    >>> for m in genai.list_models():
    ...     if 'generateContent' in m.supported_generation_methods:
    ...         print(m.name)

    Arguments:
         model_name: The name of the model to query. To list compatible models use
         safety_settings: Sets the default safety filters. This controls which content is blocked
             by the api before being returned.
         generation_config: A `genai.GenerationConfig` setting the default generation parameters to
             use.
    úgemini-mNÚ
model_nameÚstrÚsafety_settingsú(safety_types.SafetySettingOptions | NoneÚgeneration_configú,generation_types.GenerationConfigType | NoneÚtoolsúcontent_types.ToolsTypec                óÜ   — d|vrd|z   }|| _         t          j        |d¬¦  «        | _        t	          j        |¦  «        | _        t          j        |¦  «        | _	        d | _
        d | _        d S )Nú/zmodels/Únew©Úharm_category_set)Ú_model_namer   Úto_easy_safety_dictÚ_safety_settingsr
   Úto_generation_config_dictÚ_generation_configr	   Úto_toolsÚ_toolsÚ_clientÚ_async_client)Úselfr   r   r   r   s        úm/var/www/html/services/rag-service/venv/lib/python3.11/site-packages/google/generativeai/generative_models.pyÚ__init__zGenerativeModel.__init__�   s}   € ð �jÐ Ð Ø" ZÑ/ˆJØ%ˆÔÝ ,Ô @Ø¨uð!
ñ !
ô !
ˆÔõ #3Ô"LÐM^Ñ"_Ô"_ˆÔÝ#Ô,¨UÑ3Ô3ˆŒàˆŒØ!ˆÔÐÐó    c                ó   — | j         S ©N)r   ©r%   s    r&   r   zGenerativeModel.model_name°   s   € àÔÐr(   c           	     ó\   — t          j        d| j        › d| j        › d| j        › d�¦  «        S )Nz?             genai.GenerativeModel(
               model_name='z$',
               generation_config=z!.
               safety_settings=z
            ))ÚtextwrapÚdedentr   r    r   r+   s    r&   Ú__str__zGenerativeModel.__str__´   sS   € ÝŒðà œOðð ð #'Ô"9ðð ð !%Ô 5ð	ð ð ñ
ô 
ð 	
r(   )r   r   Úcontentsúcontent_types.ContentsTypeÚreturnúglm.GenerateContentRequestc          	     óÆ  — |st          d¦  «        ‚t          j        |¦  «        }t          j        |¦  «        }| j                             ¦   «         }|                     |¦  «         t          j	        |d¬¦  «        }| j
                             ¦   «         }|                     |¦  «         t          j        |d¬¦  «        }t          j        d| j        |||| j        dœ|¤ŽS )z7Creates a `glm.GenerateContentRequest` from raw inputs.zcontents must not be emptyr   r   )Úmodelr0   r   r   r   © )Ú	TypeErrorr	   Úto_contentsr
   r   r    ÚcopyÚupdater   r   r   Únormalize_safety_settingsÚglmÚGenerateContentRequestr   r"   )r%   r0   r   r   ÚkwargsÚ	merged_gcÚ	merged_sss          r&   Ú_prepare_requestz GenerativeModel._prepare_requestÀ   s÷   € ð ð 	:ÝÐ8Ñ9Ô9Ð9å Ô,¨XÑ6Ô6ˆå,ÔFÐGXÑYÔYÐØÔ+×0Ò0Ñ2Ô2ˆ	Ø×ÒÐ*Ñ+Ô+Ð+å&Ô:¸?Ð^cÐdÑdÔdˆØÔ)×.Ò.Ñ0Ô0ˆ	Ø×Ò˜Ñ)Ô)Ð)Ý Ô:¸9ÐX]Ð^Ñ^Ô^ˆ	åÔ)ð 
ØÔ"ØØ'Ø%Ø”+ð
ð 
ð ð
ð 
ð 	
r(   F©r   r   ÚstreamrC   Úboolú(generation_types.GenerateContentResponsec               ó   —  | j         d|||dœ|¤Ž}| j        €t          j        ¦   «         | _        |rdt	          j        ¦   «         5  | j                             |¦  «        }d d d ¦  «         n# 1 swxY w Y   t          j                             |¦  «        S | j         	                    |¦  «        }t          j         
                    |¦  «        S ©N)r0   r   r   r6   )rA   r#   r   Úget_default_generative_clientr
   Úrewrite_stream_errorÚstream_generate_contentÚGenerateContentResponseÚfrom_iteratorÚgenerate_contentÚfrom_response©	r%   r0   r   r   rC   r>   ÚrequestÚiteratorÚresponses	            r&   rM   z GenerativeModel.generate_contentà   s%  € ð (�$Ô'ð 
ØØ/Ø+ð
ð 
ð ð	
ð 
ˆð Œ<ÐÝ!Ô?ÑAÔAˆDŒLàð 	TÝ!Ô6Ñ8Ô8ð Ið IØœ<×?Ò?ÀÑHÔH�ðIð Ið Iñ Iô Ið Ið Ið Ið Ið Ið Iøøøð Ið Ið Ið Iå#Ô;×IÒIÈ(ÑSÔSÐSà”|×4Ò4°WÑ=Ô=ˆHÝ#Ô;×IÒIÈ(ÑSÔSÐSs   ÁA-Á-A1Á4A1ú-generation_types.AsyncGenerateContentResponsec             ‹  óÈ  K  —  | j         d|||dœ|¤Ž}| j        €t          j        ¦   «         | _        |rpt	          j        ¦   «         5  | j                             |¦  «        ƒ d {V —†}d d d ¦  «         n# 1 swxY w Y   t          j                             |¦  «        ƒ d {V —†S | j         	                    |¦  «        ƒ d {V —†}t          j         
                    |¦  «        S rG   )rA   r$   r   Ú#get_default_generative_async_clientr
   rI   rJ   ÚAsyncGenerateContentResponseÚfrom_aiteratorrM   rN   rO   s	            r&   Úgenerate_content_asyncz&GenerativeModel.generate_content_asyncû   sd  è è € ð (�$Ô'ð 
ØØ/Ø+ð
ð 
ð ð	
ð 
ˆð ÔÐ%Ý!'Ô!KÑ!MÔ!MˆDÔàð 	YÝ!Ô6Ñ8Ô8ð Uð UØ!%Ô!3×!KÒ!KÈGÑ!TÔ!TÐTÐTÐTÐTÐTÐT�ðUð Uð Uñ Uô Uð Uð Uð Uð Uð Uð Uøøøð Uð Uð Uð Uå)ÔF×UÒUÐV^Ñ_Ô_Ð_Ð_Ð_Ð_Ð_Ð_Ð_à!Ô/×@Ò@ÀÑIÔIÐIÐIÐIÐIÐIÐIˆHÝ#Ô@×NÒNÈxÑXÔXÐXs   Á!A5Á5A9Á<A9úglm.CountTokensResponsec                óÎ   — | j         €t          j        ¦   «         | _         t          j        |¦  «        }| j                              t          j        | j        |¬¦  «        ¦  «        S ©N)r5   r0   )	r#   r   rH   r	   r8   Úcount_tokensr<   ÚCountTokensRequestr   ©r%   r0   s     r&   r\   zGenerativeModel.count_tokens  sU   € ð Œ<ÐÝ!Ô?ÑAÔAˆDŒLÝ Ô,¨XÑ6Ô6ˆØŒ|×(Ò(­Ô)?ÀdÄoÐ`hÐ)iÑ)iÔ)iÑjÔjÐjr(   c              ƒ  óÞ   K  — | j         €t          j        ¦   «         | _         t          j        |¦  «        }| j                              t          j        | j        |¬¦  «        ¦  «        ƒ d {V —†S r[   )	r$   r   rU   r	   r8   r\   r<   r]   r   r^   s     r&   Úcount_tokens_asyncz"GenerativeModel.count_tokens_async  sp   è è € ð ÔÐ%Ý!'Ô!KÑ!MÔ!MˆDÔÝ Ô,¨XÑ6Ô6ˆØÔ'×4Ò4µSÔ5KÐRVÔRaÐltÐ5uÑ5uÔ5uÑvÔvÐvÐvÐvÐvÐvÐvÐvr(   )Úhistoryra   ú0Iterable[content_types.StrictContentType] | NoneÚChatSessionc               ó€   — | j                              dd¦  «        dk    rt          d¦  «        ‚t          | |¬¦  «        S )aI  Returns a `genai.ChatSession` attached to this model.

        >>> model = genai.GenerativeModel()
        >>> chat = model.start_chat(history=[...])
        >>> response = chat.send_message("Hello?")

        Arguments:
            history: An iterable of `glm.Content` objects, or equvalents to initialize the session.
        Úcandidate_counté   ú%Can't chat with `candidate_count > 1`©r5   ra   )r    ÚgetÚ
ValueErrorrc   ©r%   ra   s     r&   Ú
start_chatzGenerativeModel.start_chat(  sO   € ð Ô"×&Ò&Ð'8¸!Ñ<Ô<¸qÒ@Ð@ÝÐDÑEÔEÐEÝØØð
ñ 
ô 
ð 	
r(   )r   NNN)r   r   r   r   r   r   r   r   )r0   r1   r   r   r   r   r2   r3   )
r0   r1   r   r   r   r   rC   rD   r2   rE   )
r0   r1   r   r   r   r   rC   rD   r2   rS   )r0   r1   r2   rY   )ra   rb   r2   rc   )Ú__name__Ú
__module__Ú__qualname__Ú__doc__r'   Úpropertyr   r/   Ú__repr__rA   r   Úset_docÚ_GENERATE_CONTENT_DOCrM   Ú_GENERATE_CONTENT_ASYNC_DOCrX   r\   r`   rl   r6   r(   r&   r   r   o   s�  € € € € € ð+ð +ð^ %ØDHØJNØ)-ð"ð "ð "ð "ð "ð& ð ð  ñ „Xð ð
ð 
ð 
ð €Hð KOØDHð
ð 
ð 
ð 
ð 
ð 
ð@ €\ÔÐ/Ñ0Ô0ð
 KOØDHØðTð Tð Tð Tð Tñ 1Ô0ðTð4 €\ÔÐ5Ñ6Ô6ð
 KOØDHØðYð Yð Yð Yð Yñ 7Ô6ðYð6kð kð kð kðwð wð wð wð EIð
ð 
ð 
ð 
ð 
ð 
ð 
ð 
r(   r   c                  ó   — e Zd ZdZdZdZ	 d d!d„Z ej        e	¦  «        ddd	d
œd"d„¦   «         Z
 ej        e¦  «        ddd	d
œd#d„¦   «         Zd„ Zd$d„Zed%d„¦   «         Zed&d„¦   «         Zej        d„ ¦   «         ZdS )'rc   a÷  Contains an ongoing conversation with the model.

    >>> model = genai.GenerativeModel(model="gemini-pro")
    >>> chat = model.start_chat()
    >>> response = chat.send_message("Hello")
    >>> print(response.text)
    >>> response = chat.send_message(...)

    This `ChatSession` object collects the messages sent and received, in its
    `ChatSession.history` attribute.

    Arguments:
        model: The model to use in the chat.
        history: A chat history to initialize the object with.
    Úuserr5   Nr   ra   rb   c                ób   — || _         t          j        |¦  «        | _        d | _        d | _        d S r*   )r5   r	   r8   Ú_historyÚ
_last_sentÚ_last_received)r%   r5   ra   s      r&   r'   zChatSession.__init__R  s2   € ð
 ',ˆŒ
Ý+8Ô+DÀWÑ+MÔ+MˆŒØ.2ˆŒØSWˆÔÐÐr(   FrB   Úcontentúcontent_types.ContentTyper   ú%generation_types.GenerationConfigTyper   ú!safety_types.SafetySettingOptionsrC   rD   r2   rE   c               ó’  — t          j        |¦  «        }|j        s| j        |_        | j        d d …         }|                     |¦  «         t          j        |¦  «        }|                     dd¦  «        dk    rt          d¦  «        ‚ | j
        j        d||||dœ|¤Ž}|j        j        rt          j        |j        ¦  «        ‚|sr|j        d         j        t"          j        j        j        t"          j        j        j        t"          j        j        j        fvrt          j        |j        d         ¦  «        ‚|| _        || _        |S ©Nre   rf   rg   )r0   r   r   rC   r   r6   )r	   Ú
to_contentÚroleÚ
_USER_ROLEra   Úappendr
   r   ri   rj   r5   rM   Úprompt_feedbackÚblock_reasonÚBlockedPromptExceptionÚ
candidatesÚfinish_reasonr<   Ú	CandidateÚFinishReasonÚFINISH_REASON_UNSPECIFIEDÚSTOPÚ
MAX_TOKENSÚStopCandidateExceptionrz   r{   ©r%   r|   r   r   rC   r>   ra   rR   s           r&   Úsend_messagezChatSession.send_message\  sW  € õ  Ô*¨7Ñ3Ô3ˆØŒ|ð 	+Øœ?ˆGŒLØ”,˜q˜q˜q”/ˆØ�Š�wÑÔÐå,ÔFÐGXÑYÔYÐØ× Ò Ð!2°AÑ6Ô6¸Ò:Ð:ÝÐDÑEÔEÐEØ.�4”:Ô.ð 
ØØ/Ø+Øð	
ð 
ð
 ð
ð 
ˆð Ô#Ô0ð 	TÝ"Ô9¸(Ô:RÑSÔSÐSàð 	VØÔ" 1Ô%Ô3Ý”Ô*ÔDÝ”Ô*Ô/Ý”Ô*Ô5ð<ð ð õ
 'Ô=¸hÔ>QÐRSÔ>TÑUÔUÐUà!ˆŒØ&ˆÔàˆr(   rS   c             ‹  ó¢  K  — t          j        |¦  «        }|j        s| j        |_        | j        d d …         }|                     |¦  «         t          j        |¦  «        }|                     dd¦  «        dk    rt          d¦  «        ‚ | j
        j        d||||dœ|¤Žƒ d {V —†}|j        j        rt          j        |j        ¦  «        ‚|sr|j        d         j        t"          j        j        j        t"          j        j        j        t"          j        j        j        fvrt          j        |j        d         ¦  «        ‚|| _        || _        |S r�   )r	   r‚   rƒ   r„   ra   r…   r
   r   ri   rj   r5   rX   r†   r‡   rˆ   r‰   rŠ   r<   r‹   rŒ   r�   rŽ   r�   r�   rz   r{   r‘   s           r&   Úsend_message_asynczChatSession.send_message_async‡  sy  è è € õ  Ô*¨7Ñ3Ô3ˆØŒ|ð 	+Øœ?ˆGŒLØ”,˜q˜q˜q”/ˆØ�Š�wÑÔÐå,ÔFÐGXÑYÔYÐØ× Ò Ð!2°AÑ6Ô6¸Ò:Ð:ÝÐDÑEÔEÐEØ:˜œÔ:ð 
ØØ/Ø+Øð	
ð 
ð
 ð
ð 
ð 
ð 
ð 
ð 
ð 
ð 
ˆð Ô#Ô0ð 	TÝ"Ô9¸(Ô:RÑSÔSÐSàð 	VØÔ" 1Ô%Ô3Ý”Ô*ÔDÝ”Ô*Ô/Ý”Ô*Ô5ð<ð ð õ
 'Ô=¸hÔ>QÐRSÔ>TÑUÔUÐUà!ˆŒØ&ˆÔàˆr(   c                óR   — t          | j        t          | j        ¦  «        ¬¦  «        S )Nrh   )rc   r5   Úlistra   r+   s    r&   Ú__copy__zChatSession.__copy__²  s+   € ÝØ”*å˜œÑ&Ô&ð
ñ 
ô 
ð 	
r(   útuple[glm.Content, glm.Content]c                óÖ   — | j         €5| j                             d¦  «        | j                             ¦   «         f}|S | j        | j         j        d         j        f}d| _        d| _         |S )z=Removes the last request/response pair from the chat history.Néþÿÿÿr   )r{   ry   Úpoprz   r‰   r|   )r%   Úresults     r&   ÚrewindzChatSession.rewind¹  sf   € àÔÐ&Ø”]×&Ò& rÑ*Ô*¨D¬M×,=Ò,=Ñ,?Ô,?Ð?ˆFØˆMà”_ dÔ&9Ô&DÀQÔ&GÔ&OÐOˆFØ"ˆDŒOØ"&ˆDÔØˆMr(   ú3generation_types.BaseGenerateContentResponse | Nonec                ó   — | j         S )z9returns the last received `genai.GenerateContentResponse`)r{   r+   s    r&   ÚlastzChatSession.lastÄ  s   € ð Ô"Ð"r(   úlist[glm.Content]c                ó  — | j         }|€| j        S |j        d         j        t          j        j        j        t          j        j        j        t          j        j        j	        fvr&t          j        |j        d         ¦  «        }||_        |j        �t          j        d¦  «        |j        ‚| j        }| j         j        d         j        }|j        s| j        |_        | j                             ||g¦  «         d| _        d| _         | j        S )zThe chat history.Nr   a3  Can not build a coherent char history after a broken streaming response (See the previous Exception fro details). To inspect the last response object, use `chat.last`.To remove the last request/response `Content` objects from the chat call `last_send, last_received = chat.rewind()` and continue without it.)r{   ry   r‰   rŠ   r<   r‹   rŒ   r�   rŽ   r�   r
   r�   Ú_errorÚBrokenResponseErrorrz   r|   rƒ   Ú_MODEL_ROLEÚextend)r%   r    ÚerrorÚsentÚreceiveds        r&   ra   zChatSession.historyÉ  s  € ð Ô"ˆØˆ<Ø”=Ð àŒ?˜1ÔÔ+ÝŒMÔ&Ô@ÝŒMÔ&Ô+ÝŒMÔ&Ô1ð4
ð 
ð 
õ
 %Ô;¸D¼OÈAÔ<NÑOÔOˆEØˆDŒKàŒ;Ð"Ý"Ô6ðñô ð ”;ðð ŒˆØÔ&Ô1°!Ô4Ô<ˆØŒ}ð 	-Ø Ô,ˆHŒMØŒ×Ò˜d HÐ-Ñ.Ô.Ð.àˆŒØ"ˆÔàŒ}Ðr(   c                óT   — t          j        |¦  «        | _        d | _        d | _        d S r*   )r	   r8   ry   Ú
_last_selfr{   rk   s     r&   ra   zChatSession.historyî  s)   € å%Ô1°'Ñ:Ô:ˆŒØˆŒØ"ˆÔÐÐr(   r*   )r5   r   ra   rb   )
r|   r}   r   r~   r   r   rC   rD   r2   rE   )
r|   r}   r   r~   r   r   rC   rD   r2   rS   )r2   r˜   )r2   rž   )r2   r¡   )rm   rn   ro   rp   r„   r¥   r'   r   rs   Ú_SEND_MESSAGE_DOCr’   Ú_SEND_MESSAGE_ASYNC_DOCr”   r—   r�   rq   r    ra   Úsetterr6   r(   r&   rc   rc   >  s^  € € € € € ðð ð  €JØ€Kð
 EIðXð Xð Xð Xð Xð €\ÔÐ+Ñ,Ô,ð
 DHØ=AØð(ð (ð (ð (ð (ñ -Ô,ð(ðT €\ÔÐ1Ñ2Ô2ð
 DHØ=AØð(ð (ð (ð (ð (ñ 3Ô2ð(ðT
ð 
ð 
ð	ð 	ð 	ð 	ð ð#ð #ð #ñ „Xð#ð ð"ð "ð "ñ „Xð"ðH „^ð#ð #ñ „^ð#ð #ð #r(   rc   )rp   Ú
__future__r   Úcollections.abcr   Údataclassesr-   Útypingr   Ú	google.air   r<   Úgoogle.generativeair   r   Úgoogle.generativeai.typesr	   r
   r   ru   rt   r­   r¬   r   rc   r6   r(   r&   ú<module>r¶      sR  ðØ 1Ð 1à "Ð "Ð "Ð "Ð "Ð "à $Ð $Ð $Ð $Ð $Ð $Ø Ð Ð Ð Ø €€€Ø Ð Ð Ð Ð Ð ð
 0Ð /Ð /Ð /Ð /Ð /Ø &Ð &Ð &Ð &Ð &Ð &Ø ,Ð ,Ð ,Ð ,Ð ,Ð ,Ø 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø 6Ð 6Ð 6Ð 6Ð 6Ð 6Ø 2Ð 2Ð 2Ð 2Ð 2Ð 2à\Ð ð4Ð ðl QÐ ðÐ ðBL
ð L
ð L
ð L
ð L
ñ L
ô L
ð L
ð^t#ð t#ð t#ð t#ð t#ñ t#ô t#ð t#ð t#ð t#r(   