2hsSSKJr SSKJrJrJrJrJr SSKJ r J r SSK r SSK J r SSKJrJrJr SSKJrJrJrJrJrJr SS KJrJrJrJrJr SS KJ r SS K!J"r"J#r# SS K$J%r%J&r& SS K'J(r(J)r) SSK*J+r+ SSK,J-r- SSK.J/r/ SSK0J1r1 SSK2J3r3 SS/r4"SS\"5r5"SS\#5r6"SS5r7"SS5r8"SS5r9"SS5r:g)) annotations)ListUnionMappingOptionalcast)LiteraloverloadN)_legacy_response)image_edit_paramsimage_generate_paramsimage_create_variation_params) NOT_GIVENBodyQueryHeadersNotGiven FileTypes) extract_files required_argsmaybe_transformdeepcopy_minimalasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)Stream AsyncStream)make_request_options) ImageModel)ImagesResponse)ImageGenStreamEvent)ImageEditStreamEventImages AsyncImagesc\rSrSr\SSj5r\SSj5r\\\\\SSS\S. SSjjr\ \\\\\\\\\\\\\SSS\S.SS jj5r \ \\\\\\\\\\\\SSS\S .SS jj5r \ \\\\\\\\\\\\SSS\S .SSjj5r \ "SS //SQ5\\\\\\\\\\\\\SSS\S.SSjj5r \ \\\\\\\\\\\\\SSS\S.SSjj5r \ \\\\\\\\\\\\SSS\S.S Sjj5r \ \\\\\\\\\\\\SSS\S.S!Sjj5r \ "S /S S /5\\\\\\\\\\\\\SSS\S.S"Sjj5r Sr g)#r'c[U5$z 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 )ImagesWithRawResponseselfs O/var/www/auris/envauris/lib/python3.13/site-packages/openai/resources/images.pywith_raw_responseImages.with_raw_responses%T**c[U5$z An alternative to `.with_raw_response` that doesn't eagerly read the response body. For more information, see https://www.github.com/openai/openai-python#with_streaming_response )ImagesWithStreamingResponser.s r0with_streaming_responseImages.with_streaming_response&s+400r3N modelnresponse_formatsizeuser extra_headers extra_query extra_bodytimeoutimagec [UUUUUUS.5n [[[[[ 4U 5S//S9n SS0U=(d 0EnUR S[U [R5U [XxXS9[S9$) `Creates a variation of a given image. This endpoint only supports `dall-e-2`. Args: image: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. model: The model to use for image generation. Only `dall-e-2` is supported at this time. n: The number of images to generate. Must be between 1 and 10. response_format: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. size: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 rCr:r;r<r=r>rCpaths Content-Typemultipart/form-data/images/variationsr?r@rArBbodyfilesoptionscast_to) rrrrstrobject_postrrImageCreateVariationParamsr"r$ r/rCr:r;r<r=r>r?r@rArBrNrOs r0create_variationImages.create_variation/s` #2    d73;#7>ykR()>X=CVTVX zz  'D'_'_`(+Q[#  r3 backgroundinput_fidelitymaskr:r;output_compression output_formatpartial_imagesqualityr<r=streamr>r?r@rArBpromptracgaCreates an edited or extended image given one or more source images and a prompt. This endpoint only supports `gpt-image-1` and `dall-e-2`. Args: image: The image(s) to edit. Must be a supported image file or an array of images. For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than 50MB. You can provide up to 16 images. For `dall-e-2`, you can only provide one image, and it should be a square `png` file less than 4MB. prompt: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2`, and 32000 characters for `gpt-image-1`. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. input_fidelity: Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1`. Supports `high` and `low`. Defaults to `low`. mask: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. If there are multiple images provided, the mask will be applied on the first image. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. model: The model to use for image generation. Only `dall-e-2` and `gpt-image-1` are supported. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. n: The number of images to generate. Must be between 1 and 10. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. The default value is `png`. partial_images: The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event. quality: The quality of the image that will be generated. `high`, `medium` and `low` are only supported for `gpt-image-1`. `dall-e-2` only supports `standard` quality. Defaults to `auto`. response_format: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter is only supported for `dall-e-2`, as `gpt-image-1` will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, and one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. stream: Edit the image in streaming mode. Defaults to `false`. See the [Image generation guide](https://platform.openai.com/docs/guides/image-generation) for more information. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 Nr/rCrbrZr[r\r:r;r]r^r_r`r<r=rar>r?r@rArBs r0edit Images.editxX r3rZr[r\r:r;r]r^r_r`r<r=r>r?r@rArBcgaCreates an edited or extended image given one or more source images and a prompt. This endpoint only supports `gpt-image-1` and `dall-e-2`. Args: image: The image(s) to edit. Must be a supported image file or an array of images. For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than 50MB. You can provide up to 16 images. For `dall-e-2`, you can only provide one image, and it should be a square `png` file less than 4MB. prompt: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2`, and 32000 characters for `gpt-image-1`. stream: Edit the image in streaming mode. Defaults to `false`. See the [Image generation guide](https://platform.openai.com/docs/guides/image-generation) for more information. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. input_fidelity: Control how much effort the model will exert to match the style and features, especially facial features, of input images. This parameter is only supported for `gpt-image-1`. Supports `high` and `low`. Defaults to `low`. mask: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. If there are multiple images provided, the mask will be applied on the first image. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. model: The model to use for image generation. Only `dall-e-2` and `gpt-image-1` are supported. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. n: The number of images to generate. Must be between 1 and 10. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. The default value is `png`. partial_images: The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event. quality: The quality of the image that will be generated. `high`, `medium` and `low` are only supported for `gpt-image-1`. `dall-e-2` only supports `standard` quality. Defaults to `auto`. response_format: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter is only supported for `dall-e-2`, as `gpt-image-1` will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, and one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 Nrer/rCrbrarZr[r\r:r;r]r^r_r`r<r=r>r?r@rArBs r0rgrhrir3cgrlrerms r0rgrhTrir3rCrbracz[UUUUUUUUU U U U U UUS.5n[[[[[ 4U5S/SS/S//S9nSS0U=(d 0EnUR S[UU(a[RO[R5U[UUUUS 9[U=(d S [[S 9$ N)rCrbrZr[r\r:r;r]r^r_r`r<r=rar>rCzr\rGrIrJz /images/editsrLF)rNrOrPrQra stream_cls)rrrrrRrSrTrr ImageEditParamsStreamingImageEditParamsNonStreamingr"r$r r&r/rCrbrZr[r\r:r;r]r^r_r`r<r=rar>r?r@rArBrNrOs r0rgrhs6  ("0&8!."0"#2   &d73;#7>ySZ\eRfiohpFqr()>X=CVTVX zz  >D!::J[JwJw(+Q[el#?U23  r3rZr: moderationr;r]r^r_r`r<r=rastyler>r?r@rArBcga Creates an image given a prompt. [Learn more](https://platform.openai.com/docs/guides/images). Args: prompt: A text description of the desired image(s). The maximum length is 32000 characters for `gpt-image-1`, 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or `gpt-image-1`. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. moderation: Control the content-moderation level for images generated by `gpt-image-1`. Must be either `low` for less restrictive filtering or `auto` (default value). n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. partial_images: The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event. quality: The quality of the image that will be generated. - `auto` (default value) will automatically select the best quality for the given model. - `high`, `medium` and `low` are supported for `gpt-image-1`. - `hd` and `standard` are supported for `dall-e-3`. - `standard` is the only option for `dall-e-2`. response_format: The format in which generated images with `dall-e-2` and `dall-e-3` are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter isn't supported for `gpt-image-1` which will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`. stream: Generate the image in streaming mode. Defaults to `false`. See the [Image generation guide](https://platform.openai.com/docs/guides/image-generation) for more information. This parameter is only supported for `gpt-image-1`. style: The style of the generated images. This parameter is only supported for `dall-e-3`. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 Nrer/rbrZr:rwr;r]r^r_r`r<r=rarxr>r?r@rArBs r0generateImages.generateR r3rZr:rwr;r]r^r_r`r<r=rxr>r?r@rArBcga Creates an image given a prompt. [Learn more](https://platform.openai.com/docs/guides/images). Args: prompt: A text description of the desired image(s). The maximum length is 32000 characters for `gpt-image-1`, 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`. stream: Generate the image in streaming mode. Defaults to `false`. See the [Image generation guide](https://platform.openai.com/docs/guides/image-generation) for more information. This parameter is only supported for `gpt-image-1`. background: Allows to set transparency for the background of the generated image(s). This parameter is only supported for `gpt-image-1`. Must be one of `transparent`, `opaque` or `auto` (default value). When `auto` is used, the model will automatically determine the best background for the image. If `transparent`, the output format needs to support transparency, so it should be set to either `png` (default value) or `webp`. model: The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or `gpt-image-1`. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` is used. moderation: Control the content-moderation level for images generated by `gpt-image-1`. Must be either `low` for less restrictive filtering or `auto` (default value). n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported. output_compression: The compression level (0-100%) for the generated images. This parameter is only supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and defaults to 100. output_format: The format in which the generated images are returned. This parameter is only supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. partial_images: The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event. quality: The quality of the image that will be generated. - `auto` (default value) will automatically select the best quality for the given model. - `high`, `medium` and `low` are supported for `gpt-image-1`. - `hd` and `standard` are supported for `dall-e-3`. - `standard` is the only option for `dall-e-2`. response_format: The format in which generated images with `dall-e-2` and `dall-e-3` are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. This parameter isn't supported for `gpt-image-1` which will always return base64-encoded images. size: The size of the generated images. Must be one of `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` (default value) for `gpt-image-1`, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`. style: The style of the generated images. This parameter is only supported for `dall-e-3`. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). 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 Nrer/rbrarZr:rwr;r]r^r_r`r<r=rxr>r?r@rArBs r0r|r}or~r3cgrrers r0r|r}r~r3cURS[UUUUUUUUU U U U U US.U (a[RO[R5[ UUUUS9[ U =(d S[[S9$Nz/images/generations)rbrZr:rwr;r]r^r_r`r<r=rarxr>rLF)rNrPrQrarr) rTrrImageGenerateParamsStreamingImageGenerateParamsNonStreamingr"r$r r%r{s r0r|r}Es8zz ! $","",*<%2&4&'6 $" "&BB*JJ'*)+Q[el#?U129  r3re)returnr-)rr6rCrr:'Union[str, ImageModel, None] | NotGivenr;Optional[int] | NotGivenr</Optional[Literal['url', 'b64_json']] | NotGivenr=z?Optional[Literal['256x256', '512x512', '1024x1024']] | NotGivenr>str | NotGivenr?Headers | Noner@ Query | NonerA Body | NonerB'float | httpx.Timeout | None | NotGivenrr$(rC!Union[FileTypes, List[FileTypes]]rbrRrZ=Optional[Literal['transparent', 'opaque', 'auto']] | NotGivenr[+Optional[Literal['high', 'low']] | NotGivenr\FileTypes | NotGivenr:rr;rr]rr^3Optional[Literal['png', 'jpeg', 'webp']] | NotGivenr_rr`IOptional[Literal['standard', 'low', 'medium', 'high', 'auto']] | NotGivenr<rr=aOptional[Literal['256x256', '512x512', '1024x1024', '1536x1024', '1024x1536', 'auto']] | NotGivenra#Optional[Literal[False]] | NotGivenr>rr?rr@rrArrBrrr$)(rCrrbrRra Literal[True]rZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rr>rr?rr@rrArrBrrzStream[ImageEditStreamEvent])(rCrrbrRraboolrZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rr>rr?rr@rrArrBrr-ImagesResponse | Stream[ImageEditStreamEvent])(rCrrbrRrZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rra3Optional[Literal[False]] | Literal[True] | NotGivenr>rr?rr@rrArrBrrr&rbrRrZrr:rrw+Optional[Literal['low', 'auto']] | NotGivenr;rr]rr^rr_rr`OOptional[Literal['standard', 'hd', 'low', 'medium', 'high', 'auto']] | NotGivenr<rr={Optional[Literal['auto', '1024x1024', '1536x1024', '1024x1536', '256x256', '512x512', '1792x1024', '1024x1792']] | NotGivenrarrx0Optional[Literal['vivid', 'natural']] | NotGivenr>rr?rr@rrArrBrrr$)&rbrRrarrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrxrr>rr?rr@rrArrBrrzStream[ImageGenStreamEvent])&rbrRrarrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrxrr>rr?rr@rrArrBrr,ImagesResponse | Stream[ImageGenStreamEvent])&rbrRrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrarrxrr>rr?rr@rrArrBrrr__name__ __module__ __qualname____firstlineno__rr1r7rrWr rgrr|__static_attributes__rer3r0r'r's ++11:C&/KTPY()-$("&;DG G 7 G $ G I G NG G &G "G  G 9G  G R U^FO%.9B&/7@MV3<]fKT6?()-$("&;D1k 1k  k R k D k #k 7k  $k 5k Kk 1k [k Ik k "4#k $%k *&+k ,"-k . /k 091k 2 3k k ZU^FO%.9B&/7@MV3<]fKT()-$("&;D1k 1k  k  k R k Dk #k 7k  $k 5k Kk 1k [k Ik !k $%k *&+k ,"-k . /k 091k 2 &3k k ZU^FO%.9B&/7@MV3<]fKT()-$("&;D1k 1k  k  k R k Dk #k 7k  $k 5k Kk 1k [k Ik !k $%k *&+k ,"-k . /k 091k 2 73k k ZGX&(EF U^FO%.9B&/7@MV3<]fKTFO()-$("&;D1? 1?  ? R ? D ? #? 7?  $? 5? K? 1? [? I? ? "D#? $%? *&+? ,"-? . /? 091? 2 73? G? B U^9BBK&/7@MV3ykR()>X=CVTVX ZZ ,T3P3k3kll(+Q[#    l s$A2B4B 5B BBBrYrbrac # g7frdrerfs r0rgAsyncImages.edit X rjc # g7frlrerms r0rgrLrrc # g7frlrerms r0rgrrrroc# [UUUUUUUUU U U U U UUS.5n[[[[[ 4U5S/SS/S//S9nSS0U=(d 0EnUR S[UU(a[RO[R5IShvN U[UUUUS 9[U=(d S [[S 9IShvN $N5N7frq)rrrrrRrSrTrr rsrtr"r$r!r&rus r0rgr(s6  ("0&8!."0"#2   &d73;#7>ySZ\eRfiohpFqr()>X=CVTVX ZZ ,>D!::J[JwJw(+Q[el#?U"#78     s$BCC 0C C CCrvc # g7frzrer{s r0r|AsyncImages.generatej R rrc # g7frrers r0r|rrrc # g7frrers r0r|r@rrc# URS[UUUUUUUUU U U U U US.U (a[RO[R5IShvN [ UUUUS9[ U =(d S[[S9IShvN $N4N7fr) rTrrrrr"r$r!r%r{s r0r|rs8ZZ !,$","",*<%2&4&'6 $" "&BB*JJ'*)+Q[el#?U"#679     s$AB B /B B B  B re)rr)rrrr)(rCrrbrRrarrZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rr>rr?rr@rrArrBrrz!AsyncStream[ImageEditStreamEvent])(rCrrbrRrarrZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rr>rr?rr@rrArrBrr2ImagesResponse | AsyncStream[ImageEditStreamEvent])(rCrrbrRrZrr[rr\rr:rr;rr]rr^rr_rr`rr<rr=rrarr>rr?rr@rrArrBrrrr)&rbrRrarrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrxrr>rr?rr@rrArrBrrz AsyncStream[ImageGenStreamEvent])&rbrRrarrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrxrr>rr?rr@rrArrBrr1ImagesResponse | AsyncStream[ImageGenStreamEvent])&rbrRrZrr:rrwrr;rr]rr^rr_rr`rr<rr=rrarrxrr>rr?rr@rrArrBrrrrrer3r0r(r(s 0066:C&/KTPY()-$("&;DG G 7 G $ G I G NG G &G "G  G 9G  G R U^FO%.9B&/7@MV3<]fKT6?()-$("&;D1k 1k  k R k D k #k 7k  $k 5k Kk 1k [k Ik k "4#k $%k *&+k ,"-k . /k 091k 2 3k k ZU^FO%.9B&/7@MV3<]fKT()-$("&;D1k 1k  k  k R k Dk #k 7k  $k 5k Kk 1k [k Ik !k $%k *&+k ,"-k . /k 091k 2 +3k k ZU^FO%.9B&/7@MV3<]fKT()-$("&;D1k 1k  k  k R k Dk #k 7k  $k 5k Kk 1k [k Ik !k $%k *&+k ,"-k . /k 091k 2 <3k k ZGX&(EF U^FO%.9B&/7@MV3<]fKTFO()-$("&;D1? 1?  ? R ? D ? #? 7?  $? 5? K? 1? [? I? ? "D#? $%? *&+? ,"-? . /? 091? 2 <3? G? B U^9BBK&/7@MV3rs#77/ [[IIkk%9X,/*2>@ ] #c  _c  Lc  "c  L            r3