/*
 * Copyright 2020 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2009 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

~~ or more contributor license agreements.  See the NOTICE file
~~ distributed with this work for additional information
~~ regarding copyright ownership.  The ASF licenses this file
~~ to you under the Apache License, Version 2.0 (the
~~ "License"); you may not use this file except in compliance
~~ with the License.  You may obtain a copy of the License at
~~
~~ http://www.apache.org/licenses/LICENSE-2.0
~~

  /**
   * Associates the specified value with the specified keys. If the table already contained a
   * mapping for those keys, the old value is replaced with the specified value.
   *
   * @param rowKey row key that the value should be associated with
   * @param columnKey column key that the value should be associated with
   * @param value value to be associated with the specified keys

        // Test constructor with null cause
        final JobProcessingException exception = new JobProcessingException((Throwable) null);

        assertNotNull(exception);
        assertNull(exception.getCause());
        assertNull(exception.getMessage());
    }

    @Test
    public void test_constructor_withNullMessageAndCause() {
        // Test constructor with null message and cause

        // Default instance
        assertEquals(0, shareInfo.getFileIndex());

        // Instance with values
        SmbShareInfo info = new SmbShareInfo(TEST_NET_NAME, TEST_TYPE, TEST_REMARK);
        assertEquals(0, info.getFileIndex());
    }

    @ParameterizedTest
    @DisplayName("Test getType with different share types")
    @CsvSource({ "1, " + SmbConstants.TYPE_PRINTER, // Printer share

		// Test cases with prefixes.
		// Testing listing with prefix set to "min" (Test number 40)	.
		{bucketNames[2], "min", "", "", "", 100, listMultipartResults[26], nil, true},
		// Testing listing with prefix set to "ney" (Test number 41).
		{bucketNames[2], "ney", "", "", "", 100, listMultipartResults[27], nil, true},
		// Testing listing with prefix set to "par" (Test number 42).

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs:

      }

      // redeclare to help optimizers with b/310253115
      @SuppressWarnings("RedundantOverride")
      @Override
      @J2ktIncompatible
      @GwtIncompatible
            Object writeReplace() {
        return super.writeReplace();
      }
    };
  }

  // redeclare to help optimizers with b/310253115
  @SuppressWarnings("RedundantOverride")
  @Override
  @J2ktIncompatible