\",\"data\":{\"label\":\"Query Count\",\"id\":\"1\"},\"valueAxis\":\"ValueAxis-1\",\"drawLinesBetweenPoints\":true,\"showCircles\":true}],\"addTooltip\":true,\"addLegend\":true,\"legendPosition\":\"right\",\"times\":[],\"addTimeMarker\":false,\"dimensions\":{\"x\":{\"accessor\":0,\"format\":{\"id\":\"date\",\"params\":{\"pattern\":\"HH:mm\"}},\"params\":{\"date\":true,\"interval\":\"PT10M\",\"format\":\"HH:mm\",\"bounds\":{\"min\":\"2019-07-28T10:40:08.271Z\",\"max\":\"2019-07-30T10:40:08.271Z\"...

/**
 * HTML tag-based thumbnail generator that creates thumbnails from image content
 * referenced in HTML documents. This generator extracts images from HTML content
 * and processes them to create thumbnail images based on configured dimensions
 * and format settings.
 *
 * <p>The generator validates image MIME types, processes image data through
 * ImageIO operations, and applies scaling and cropping to generate thumbnails

    TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

// entries (e.g., the return value of TF_GraphGetTensorNumDims).
//
// If the number of dimensions in the shape is unknown or the shape is
// a scalar, `dims` will remain untouched. Otherwise, each element of
// `dims` will be set corresponding to the size of the dimension. An
// unknown dimension is represented by `-1`.
//
// Returns an error into `status` if:
//   * `output` is not in `graph`.

t:"Si us plau, triï almenys ",groupCheckedTooManyStart:"Si us plau, triï un màxim de ",groupCheckedEnd:" element(s)",badCreditCard:"El número de targeta de crèdit proporcionat no és vàlid",badCVV:"CVV proporcionat no és vàlid",wrongFileDim:"Les dimensions de la imatge no són vàlides,",imageTooTall:"l'alçada de la imatge no pot ser major a",imageTooWide:"l'amplada de la imatge no pot ser major a",imageTooSmall:"la imatge és massa petita",min:"min.",max:"màx.",imageRatioNotAccepted:"La proporció de...

c.imageRatioNotAccepted;return!1},a.formUtils.addAsyncValidator({name:"dimension",validatorFunction:function(b,d,e,g,h){if(c){var i=e.get(0).files||[],j=this;e.attr("data-validation").indexOf("mime")===-1?(alert("You should validate file type being jpg, gif or png on input "+e[0].name),b(!1)):i.length>1?(alert("Validating image dimensions does not support inputs allowing multiple files"),b(!1)):0===i.length?b(!0):f(i[0],function(c){var d=!1;e.valAttr("dimension")&&(d=a.formUtils.checkImageDimension(c,e.valAttr("d...

                    /*input_shapes*/ {make_shape({3, 2}), unknown_shape()},
                    /*input_tensors*/ {},
                    /*expected_shape*/ make_shape({3, kUnknownDim}));

  // Infer shape when some dimensions are unknown.
  CheckOutputShapes(
      matmul_op,
      /*input_shapes*/ {make_shape({kUnknownDim, 2}), make_shape({2, 4})},
      /*input_tensors*/ {},
      /*expected_shape*/ make_shape({kUnknownDim, 4}));

  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];
  memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
}

        control flow.
    *   Add `RaggedTensor.numpy()`.
    *   Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow
        indexing into uniform dimensions.
    *   Update `tf.expand_dims` to always insert the new dimension as a
        non-ragged dimension.
    *   Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm`
        when `ids` is ragged.

",groupCheckedTooFewStart:"Please choose at least ",groupCheckedTooManyStart:"Please choose a maximum of ",groupCheckedEnd:" item(s)",badCreditCard:"The credit card number is not correct",badCVV:"The CVV number was not correct",wrongFileDim:"Incorrect image dimensions,",imageTooTall:"the image can not be taller than",imageTooWide:"the image can not be wider than",imageTooSmall:"the image was too small",min:"min",max:"max",imageRatioNotAccepted:"Image ratio is not be accepted",badBrazilTelephoneAnswer:"The phone...