// Fetch the shape and validate it is 2 by -1.
  num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(2, num_dims);

  // Resize the dimension vector appropriately.
  int64_t returned_dims[2];
  TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(dims[0], returned_dims[0]);

/**
 * 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

labels.search_result_sort_filename_desc=Nome file (desc)
labels.search_result_sort_created_asc=Data (asc)
labels.search_result_sort_created_desc=Data (desc)
labels.search_result_sort_content_length_asc=Dimensione (asc)
labels.search_result_sort_content_length_desc=Dimensione (desc)
labels.search_result_sort_last_modified_asc=Ultima modifica (asc)
labels.search_result_sort_last_modified_desc=Ultima modifica (desc)
labels.search_result_sort_click_count_asc=Clic (asc)

import java.util.Map;
import java.util.Objects;
import java.util.Set;
import java.util.Spliterator;
import org.jspecify.annotations.Nullable;

/**
 * Fixed-size {@link Table} implementation backed by a two-dimensional array.
 *
 * <p><b>Warning:</b> {@code ArrayTable} is rarely the {@link Table} implementation you want. First,
 * it requires that the complete universe of rows and columns be specified at construction time.

K-PKE.KeyGen according to FIPS 203, Algorithm 13. The two are merged to save // copies and allocations. func kemKeyGen1024(dk *DecapsulationKey1024, d, z *[32]byte) { dk.d = *d dk.z = *z g := sha3.New512() g.Write(d[:]) g.Write([]byte{k1024}) // Module dimension as a domain separator. G := g.Sum(make([]byte, 0, 64)) ρ, σ := G[:32], G[32:] dk.ρ = [32]byte(ρ) A := &dk.a for i := byte(0); i < k1024; i++ { for j := byte(0); j < k1024; j++ { A[i*k1024+j] = sampleNTT(ρ, j, i) } } var N byte s := &dk.s for i :=...

The elements can be addressed by integer <a href="#Index_expressions">indices</a>
0 through <code>len(a)-1</code>.
Array types are always one-dimensional but may be composed to form
multi-dimensional types.
</p>

<pre>
[32]byte
[2*N] struct { x, y int32 }
[1000]*float64
[3][5]int
[2][2][2]float64  // same as [2]([2]([2]float64))
</pre>

<p>