0x134e: 0x0021, 0x134f: 0x0023, 0x1350: 0x0025, 0x1351: 0x0027,
	0x1352: 0x0029, 0x1353: 0x002b, 0x1354: 0x002d, 0x1355: 0x002f, 0x1356: 0x0031, 0x1357: 0x0033,
	0x1358: 0x0021, 0x1359: 0x0023, 0x135a: 0x0025, 0x135b: 0x0027, 0x135c: 0x0029, 0x135d: 0x002b,
	0x135e: 0x002d, 0x135f: 0x002f, 0x1360: 0x0031, 0x1361: 0x0033, 0x1362: 0x0021, 0x1363: 0x0023,

ader {\n  padding: 0.75rem 1.25rem;\n  margin-bottom: 0;\n  background-color: rgba(0, 0, 0, 0.03);\n  border-bottom: 1px solid rgba(0, 0, 0, 0.125);\n}\n\n.card-header:first-child {\n  border-radius: calc(0.25rem - 1px) calc(0.25rem - 1px) 0 0;\n}\n\n.card-header + .list-group .list-group-item:first-child {\n  border-top: 0;\n}\n\n.card-footer {\n  padding: 0.75rem 1.25rem;\n  background-color: rgba(0, 0, 0, 0.03);\n  border-top: 1px solid rgba(0, 0, 0, 0.125);\n}\n\n.card-footer:last-child {\n ...

ader {\n  padding: 0.75rem 1.25rem;\n  margin-bottom: 0;\n  background-color: rgba(0, 0, 0, 0.03);\n  border-bottom: 1px solid rgba(0, 0, 0, 0.125);\n}\n\n.card-header:first-child {\n  border-radius: calc(0.25rem - 1px) calc(0.25rem - 1px) 0 0;\n}\n\n.card-header + .list-group .list-group-item:first-child {\n  border-top: 0;\n}\n\n.card-footer {\n  padding: 0.75rem 1.25rem;\n  background-color: rgba(0, 0, 0, 0.03);\n  border-top: 1px solid rgba(0, 0, 0, 0.125);\n}\n\n.card-footer:last-child {\n ...

!important;\n}\n\n.elevation-1 {\n  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.12), 0 1px 2px rgba(0, 0, 0, 0.24) !important;\n}\n\n.elevation-2 {\n  box-shadow: 0 3px 6px rgba(0, 0, 0, 0.16), 0 3px 6px rgba(0, 0, 0, 0.23) !important;\n}\n\n.elevation-3 {\n  box-shadow: 0 10px 20px rgba(0, 0, 0, 0.19), 0 6px 6px rgba(0, 0, 0, 0.23) !important;\n}\n\n.elevation-4 {\n  box-shadow: 0 14px 28px rgba(0, 0, 0, 0.25), 0 10px 10px rgba(0, 0, 0, 0.22) !important;\n}\n\n.elevation-5 {\n  box-shadow: 0 19px 38px rgba(0, 0, 0, 0.3),...

  %result:4 = "tf.ParseExampleV2"(%serialized, %names, %empty_str_vector, %empty_str_vector, %ragged_keys) {dense_shapes = [], num_sparse = 0 : i64, resultSegmentSizes = array<i32: 0, 0, 0, 0, 2, 2>} : (tensor<32x!tf_type.string>, tensor<32x!tf_type.string>, tensor<0x!tf_type.string>, tensor<0x!tf_type.string>, tensor<2x!tf_type.string>) -> (tensor<?xf32>, tensor<?x!tf_type.string>, tensor<?xi32>, tensor<?xi64>)

1px rgb(0 0 0 / 0.05)",DEFAULT:["0 1px 2px rgb(0 0 0 / 0.1)","0 1px 1px rgb(0 0 0 / 0.06)"],md:["0 4px 3px rgb(0 0 0 / 0.07)","0 2px 2px rgb(0 0 0 / 0.06)"],lg:["0 10px 8px rgb(0 0 0 / 0.04)","0 4px 3px rgb(0 0 0 / 0.1)"],xl:["0 20px 13px rgb(0 0 0 / 0.03)","0 8px 5px rgb(0 0 0 / 0.08)"],"2xl":"0 25px 25px rgb(0 0 0 / 0.15)",none:"0 0 #0000"},fill:({theme:i})=>({none:"none",...i("colors")}),flex:{1:"1 1 0%",auto:"1 1 auto",initial:"0 1 auto",none:"none"},flexBasis:({theme:i})=>({auto:"auto",...i("...

	http2cipher_TLS_KRB5_WITH_IDEA_CBC_SHA            uint16 = 0x0021
	http2cipher_TLS_KRB5_WITH_DES_CBC_MD5             uint16 = 0x0022
	http2cipher_TLS_KRB5_WITH_3DES_EDE_CBC_MD5        uint16 = 0x0023
	http2cipher_TLS_KRB5_WITH_RC4_128_MD5             uint16 = 0x0024
	http2cipher_TLS_KRB5_WITH_IDEA_CBC_MD5            uint16 = 0x0025
	http2cipher_TLS_KRB5_EXPORT_WITH_DES_CBC_40_SHA   uint16 = 0x0026

      input_shape[M+1], ..., input_shape[N-1]]

Some examples:

(1) For the following input of shape `[4, 1, 1, 1]`, `block_shape = [2, 2]`, and
    `crops = [[0, 0], [0, 0]]`:

```
[[[[1]]], [[[2]]], [[[3]]], [[[4]]]]
```

The output tensor has shape `[1, 2, 2, 1]` and value:

```
x = [[[[1], [2]], [[3], [4]]]]
```