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docs/it/docs/index.md
```Python ... "item_name": item.name ... ``` ...a: ```Python ... "item_price": item.price ... ``` ...e osserva come il tuo editor di testo autocompleterà gli attributi e sarà in grado di riconoscere i loro tipi: ![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)
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android/guava-tests/test/com/google/common/io/testdata/alice_in_wonderland.txt
me see--how IS it to be managed? I suppose I ought to eat or drink something or other; but the great question is, what?' The great question certainly was, what? Alice looked all round her at the flowers and the blades of grass, but she did not see anything that looked like the right thing to eat or drink under the circumstances. There was a large mushroom growing near her, about the same height as herself; and when she had looked under
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okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
2F8A ; mapped ; 8272 # 3.0 KANGXI RADICAL COLOR 2F8B ; mapped ; 8278 # 3.0 KANGXI RADICAL GRASS 2F8C ; mapped ; 864D # 3.0 KANGXI RADICAL TIGER 2F8D ; mapped ; 866B # 3.0 KANGXI RADICAL INSECT
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SECURITY.md
[**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions in TensorFlow ops can be recognized as security issues only if they are reachable and exploitable through production-grade, benign models. ### Compilation Compiling models via the recommended entry points described in [XLA](https://www.tensorflow.org/xla) and [JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html)
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tensorflow/c/BUILD
":env", ":logging", ":tf_status", ":tf_tensor", "//tensorflow/c/experimental/filesystem:modular_filesystem", "//tensorflow/cc:grad_ops", "//tensorflow/cc:gradients", "//tensorflow/cc:ops", "//tensorflow/cc:scope_internal", "//tensorflow/cc:while_loop",
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cni/README.md
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tensorflow/c/eager/BUILD
"//tensorflow/c:c_api", "//tensorflow/c:c_test_util", "//tensorflow/c:tf_status_helper", "//tensorflow/c/experimental/gradients:array_grad", "//tensorflow/c/experimental/gradients:math_grad", "//tensorflow/c/experimental/gradients:not_differentiable", "//tensorflow/c/experimental/gradients/tape:tape_context", "//tensorflow/c/experimental/ops",
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tensorflow/c/experimental/gradients/BUILD
], ) cc_library( name = "gradients", hdrs = [ "array_grad.h", "math_grad.h", "nn_grad.h", "not_differentiable.h", ], visibility = [ "//tensorflow:internal", ], deps = [ ":array_grad", ":math_grad", ":nn_grad", ":not_differentiable", "//tensorflow/c/eager:abstract_context",
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guava-tests/test/com/google/common/io/testdata/alice_in_wonderland.txt
me see--how IS it to be managed? I suppose I ought to eat or drink something or other; but the great question is, what?' The great question certainly was, what? Alice looked all round her at the flowers and the blades of grass, but she did not see anything that looked like the right thing to eat or drink under the circumstances. There was a large mushroom growing near her, about the same height as herself; and when she had looked under
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RELEASE.md
instead. * `tf.batch_mat_mul_v3` (accidentally introduced in TensorFlow 2.6): Use `tf.linalg.matmul` instead. * `tf.sparse_segment_sum_grad` (accidentally introduced in TensorFlow 2.6): Use `tf.raw_ops.SparseSegmentSumGrad` instead. Directly calling this op is typically not necessary, as it is automatically
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