/*

 * This source code is licensed under both the BSD-style license (found in the

 * LICENSE file in the root directory of this source tree) and the GPLv2 (found

 * in the COPYING file in the root directory of this source tree).

 * You may select, at your option, one of the above-listed licenses.

#ifndef ZDICTLIB_VISIBILITY

#  if defined(__GNUC__) && (__GNUC__ >= 4)

#    define ZDICTLIB_VISIBILITY __attribute__ ((visibility ("default")))

#  else

#    define ZDICTLIB_VISIBILITY

#  endif

/*! ZDICT_trainFromBuffer():

 *  Train a dictionary from an array of samples.

 *  Redirect towards ZDICT_optimizeTrainFromBuffer_cover() single-threaded, with d=8 and steps=4.

 *  Samples must be stored concatenated in a single flat buffer `samplesBuffer`,

 *  supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.

 *  The resulting dictionary will be saved into `dictBuffer`.

 * @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)

 *          or an error code, which can be tested with ZDICT_isError().

 *  Note: ZDICT_trainFromBuffer() requires about 9 bytes of memory for each input byte.

 *  Tips: In general, a reasonable dictionary has a size of ~ 100 KB.

 *        It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.

 *        In general, it's recommended to provide a few thousands samples, though this can vary a lot.

 *        It's recommended that total size of all samples be about ~x100 times the target size of dictionary.

 */

                                    const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples);

    int      compressionLevel;   /* optimize for a specific zstd compression level; 0 means default */

    unsigned notificationLevel;  /* Write log to stderr; 0 = none (default); 1 = errors; 2 = progression; 3 = details; 4 = debug; */

    unsigned dictID;             /* force dictID value; 0 means auto mode (32-bits random value) */

/*! ZDICT_cover_params_t:

 *  k and d are the only required parameters.

 *  For others, value 0 means default.

 */

    ZDICT_params_t zParams;

} ZDICT_cover_params_t;

/*! ZDICT_trainFromBuffer_cover():

 *  Train a dictionary from an array of samples using the COVER algorithm.

 *  Samples must be stored concatenated in a single flat buffer `samplesBuffer`,

 *  supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.

 *  The resulting dictionary will be saved into `dictBuffer`.

 * @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)

 *          or an error code, which can be tested with ZDICT_isError().

 *  Note: ZDICT_trainFromBuffer_cover() requires about 9 bytes of memory for each input byte.

 *  Tips: In general, a reasonable dictionary has a size of ~ 100 KB.

 *        It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.

 *        In general, it's recommended to provide a few thousands samples, though this can vary a lot.

 *        It's recommended that total size of all samples be about ~x100 times the target size of dictionary.

 */

ZDICTLIB_API size_t ZDICT_trainFromBuffer_cover(

          void *dictBuffer, size_t dictBufferCapacity,

    const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,

          ZDICT_cover_params_t parameters);

/*! ZDICT_optimizeTrainFromBuffer_cover():

 * The same requirements as above hold for all the parameters except `parameters`.

 * This function tries many parameter combinations and picks the best parameters.

 * `*parameters` is filled with the best parameters found,

 * dictionary constructed with those parameters is stored in `dictBuffer`.

 *

 * All of the parameters d, k, steps are optional.

 * If d is non-zero then we don't check multiple values of d, otherwise we check d = {6, 8, 10, 12, 14, 16}.

 * if steps is zero it defaults to its default value.

 * If k is non-zero then we don't check multiple values of k, otherwise we check steps values in [16, 2048].

 *

 * @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)

 *           or an error code, which can be tested with ZDICT_isError().

 *           On success `*parameters` contains the parameters selected.

 * Note: ZDICT_optimizeTrainFromBuffer_cover() requires about 8 bytes of memory for each input byte and additionally another 5 bytes of memory for each byte of memory for each thread.

 */

ZDICTLIB_API size_t ZDICT_optimizeTrainFromBuffer_cover(

          void* dictBuffer, size_t dictBufferCapacity,

    const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples,

          ZDICT_cover_params_t* parameters);

/*! ZDICT_finalizeDictionary():

 * Given a custom content as a basis for dictionary, and a set of samples,

 * finalize dictionary by adding headers and statistics.

 *

 * Samples must be stored concatenated in a flat buffer `samplesBuffer`,

 * supplied with an array of sizes `samplesSizes`, providing the size of each sample in order.

 *

 * dictContentSize must be >= ZDICT_CONTENTSIZE_MIN bytes.

 * maxDictSize must be >= dictContentSize, and must be >= ZDICT_DICTSIZE_MIN bytes.

 *

 * @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`),

 *           or an error code, which can be tested by ZDICT_isError().

 * Note: ZDICT_finalizeDictionary() will push notifications into stderr if instructed to, using notificationLevel>0.

 * Note 2: dictBuffer and dictContent can overlap

 */

#define ZDICT_CONTENTSIZE_MIN 128

#define ZDICT_DICTSIZE_MIN    256

                                const void* dictContent, size_t dictContentSize,

typedef struct {

    unsigned selectivityLevel;   /* 0 means default; larger => select more => larger dictionary */

    ZDICT_params_t zParams;

} ZDICT_legacy_params_t;

/*! ZDICT_trainFromBuffer_legacy():

 *  Train a dictionary from an array of samples.

 *  Samples must be stored concatenated in a single flat buffer `samplesBuffer`,

 *  supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.

 *  The resulting dictionary will be saved into `dictBuffer`.

 * `parameters` is optional and can be provided with values set to 0 to mean "default".

 * @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)

 *          or an error code, which can be tested with ZDICT_isError().

 *  Tips: In general, a reasonable dictionary has a size of ~ 100 KB.

 *        It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.

 *        In general, it's recommended to provide a few thousands samples, though this can vary a lot.

 *        It's recommended that total size of all samples be about ~x100 times the target size of dictionary.

 *  Note: ZDICT_trainFromBuffer_legacy() will send notifications into stderr if instructed to, using notificationLevel>0.

 */

ZDICTLIB_API size_t ZDICT_trainFromBuffer_legacy(

    void *dictBuffer, size_t dictBufferCapacity,

    const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,

    ZDICT_legacy_params_t parameters);

#    define ZDICT_DEPRECATED(message) [[deprecated(message)]] ZDICTLIB_API