1 files changed, 0 insertions, 57 deletions
diff --git a/contrib/experimental_dict_builders/fastCover/fastCover.h b/contrib/experimental_dict_builders/fastCover/fastCover.h
deleted file mode 100644
index 958e9f4239308..0000000000000
--- a/contrib/experimental_dict_builders/fastCover/fastCover.h
+++ /dev/null
@@ -1,57 +0,0 @@
-#include <stdio.h>  /* fprintf */
-#include <stdlib.h> /* malloc, free, qsort */
-#include <string.h> /* memset */
-#include <time.h>   /* clock */
-#include "mem.h" /* read */
-#include "pool.h"
-#include "threading.h"
-#include "zstd_internal.h" /* includes zstd.h */
-#ifndef ZDICT_STATIC_LINKING_ONLY
-#define ZDICT_STATIC_LINKING_ONLY
-#endif
-#include "zdict.h"
-
-
-typedef struct {
-    unsigned k;                  /* Segment size : constraint: 0 < k : Reasonable range [16, 2048+] */
-    unsigned d;                  /* dmer size : constraint: 0 < d <= k : Reasonable range [6, 16] */
-    unsigned f;                  /* log of size of frequency array */
-    unsigned steps;              /* Number of steps : Only used for optimization : 0 means default (32) : Higher means more parameters checked */
-    unsigned nbThreads;          /* Number of threads : constraint: 0 < nbThreads : 1 means single-threaded : Only used for optimization : Ignored if ZSTD_MULTITHREAD is not defined */
-    double splitPoint;           /* Percentage of samples used for training: the first nbSamples * splitPoint samples will be used to training, the last nbSamples * (1 - splitPoint) samples will be used for testing, 0 means default (1.0), 1.0 when all samples are used for both training and testing */
-    ZDICT_params_t zParams;
-} ZDICT_fastCover_params_t;
-
-
-/*! ZDICT_optimizeTrainFromBuffer_fastCover():
- *  Train a dictionary from an array of samples using a modified version of 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`.
- *  All of the parameters except for f 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.
- */
- ZDICTLIB_API size_t ZDICT_optimizeTrainFromBuffer_fastCover(
-     void *dictBuffer, size_t dictBufferCapacity, const void *samplesBuffer,
-     const size_t *samplesSizes, unsigned nbSamples,
-     ZDICT_fastCover_params_t *parameters);
-
-
-/*! ZDICT_trainFromBuffer_fastCover():
- *  Train a dictionary from an array of samples using a modified version of 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`.
- *  d, k, and f are required.
- *  @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)
- *           or an error code, which can be tested with ZDICT_isError().
- */
-ZDICTLIB_API size_t ZDICT_trainFromBuffer_fastCover(
-    void *dictBuffer, size_t dictBufferCapacity, const void *samplesBuffer,
-    const size_t *samplesSizes, unsigned nbSamples, ZDICT_fastCover_params_t parameters);