input = tensorflow.map_fn(lambda i: tensorflow.map_fn(lambda j: tensorflow.cond(tensorflow.equal(j, rand_indices[i]), lambda: tensorflow.cast(tensorflow.one_hot(tensorflow.cast(tensorflow.random_uniform([1]) * alphabet_len, tensorflow.int32))[0], tensorflow.int32), lambda: examples_node[i][j]), tensorflow.range(max_len)), tensorflow.range(num_examples))
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