*/

  private MultimapBuilder() {}

  private static final int DEFAULT_EXPECTED_KEYS = 8;

  /** Uses a hash table to map keys to value collections. */
  public static MultimapBuilderWithKeys<@Nullable Object> hashKeys() {
    return hashKeys(DEFAULT_EXPECTED_KEYS);
  }

  /**
   * Uses a hash table to map keys to value collections, initialized to expect the specified number
   * of keys.
   *

## Overview

* Full-Featured ORM
* Associations (Has One, Has Many, Belongs To, Many To Many, Polymorphism, Single-table inheritance)
* Hooks (Before/After Create/Save/Update/Delete/Find)
* Eager loading with `Preload`, `Joins`
* Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point
* Context, Prepared Statement Mode, DryRun Mode

from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str

 * <code>XxxputStream</code> interface. A special <code>PIPE_TYPE</code>
 * flags is necessary to distinguish which type of Named Pipe behavior
 * is desired.
 *
 * <table border="1">
 * <caption>SmbNamedPipe Constructor Examples</caption>
 * <tr >
 * <td colspan="2"><b><code>SmbNamedPipe</code> Constructor Examples</b></td>
 * <tr>
 * <td ><b>Code Sample</b></td>

from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str

   
   **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
   
   
   Make sure you are using compatible TF and CUDA versions.
   Please refer following TF version and CUDA version compatibility table.
   
   | TF  | CUDA |
   
   | :-------------: | :-------------: |
   
   | 2.5.0  | 11.2 |
   
   | 2.4.0  | 11.0 |
   
   | 2.1.0 - 2.3.0  | 10.1 |
   
   | 1.13.1 - 2.0  | 10.0  |
   

import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.user.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.user.bsentity.dbmeta.GroupDbm;

/**
 * ${table.comment}
 * @author ESFlute (using FreeGen)
 */
public class BsGroup extends EsAbstractEntity {

    // ===================================================================================

/**
 * Evaluator for plugin parameters expressions. Content surrounded by <code>${</code> and <code>}</code> is evaluated.
 * Recognized values are:
 * <table border="1">
 * <caption>Expression matrix</caption>
 * <tr><th>expression</th>                     <th></th>               <th>evaluation result</th></tr>

		message:    err.Error(),
		statusCode: 400,
		cause:      err,
	}
}

func errBadTableName(err error) *s3Error {
	return &s3Error{
		code:       "BadTableName",
		message:    fmt.Sprintf("The table name is not supported: %v", err),
		statusCode: 400,
		cause:      err,
	}
}

func errDataSource(err error) *s3Error {
	return &s3Error{
		code:       "DataSourcePathUnsupported",

    return smear((o == null) ? 0 : o.hashCode());
  }

  private static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  static int closedTableSize(int expectedEntries, double loadFactor) {
    // Get the recommended table size.
    // Round down to the nearest power of 2.
    expectedEntries = max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);