{"(*FileHeader).SetMode", Method, 0},
		{"(*ReadCloser).Close", Method, 0},
		{"(*ReadCloser).Open", Method, 16},
		{"(*ReadCloser).RegisterDecompressor", Method, 6},
		{"(*Reader).Open", Method, 16},
		{"(*Reader).RegisterDecompressor", Method, 6},
		{"(*Writer).AddFS", Method, 22},
		{"(*Writer).Close", Method, 0},
		{"(*Writer).Copy", Method, 17},
		{"(*Writer).Create", Method, 0},
		{"(*Writer).CreateHeader", Method, 0},

                          method:
                            description: |-
                              Method specifies a gRPC request service/method matcher. If this field is
                              not specified, all services and methods will match.
                            properties:
                              method:
                                description: |-

*   Keras:

    *   `tf.keras.layers.Conv` now includes a public `convolution_op` method.
        This method can be used to simplify the implementation of Conv
        subclasses. There are two primary ways to use this new method. The first
        is to use the method directly in your own `call` method: `python class
        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):

                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

                              should be case-insensitive.
                            type: boolean
                          method:
                            description: 'HTTP Method values are case-sensitive and
                              formatted as follows: - `exact: "value"` for exact string

Class <org.gradle.model.internal.method.WeaklyTypeReferencingMethod$1> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (WeaklyTypeReferencingMethod.java:0)
Class <org.gradle.model.internal.method.WeaklyTypeReferencingMethod$2> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (WeaklyTypeReferencingMethod.java:0)

    data[1] = [[41, 42], [11, 12]]
    data[2] = [[[51, 52], [21, 22]], [[1, 2], [31, 32]]]
    merged = [[1, 2], [11, 12], [21, 22], [31, 32], [41, 42],
              [51, 52], [61, 62]]
```

This method can be used to merge partitions created by `dynamic_partition`
as illustrated on the following example:

```python
    # Apply function (increments x_i) on elements for which a certain condition

2F5F          ; mapped                 ; 7389          # 3.0  KANGXI RADICAL JADE
2F60          ; mapped                 ; 74DC          # 3.0  KANGXI RADICAL MELON
2F61          ; mapped                 ; 74E6          # 3.0  KANGXI RADICAL TILE
2F62          ; mapped                 ; 7518          # 3.0  KANGXI RADICAL SWEET