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-rw-r--r--examples/redis-unstable/deps/jemalloc/src/ticker.c32
1 files changed, 0 insertions, 32 deletions
diff --git a/examples/redis-unstable/deps/jemalloc/src/ticker.c b/examples/redis-unstable/deps/jemalloc/src/ticker.c
deleted file mode 100644
index 790b5c2..0000000
--- a/examples/redis-unstable/deps/jemalloc/src/ticker.c
+++ /dev/null
@@ -1,32 +0,0 @@
-#include "jemalloc/internal/jemalloc_preamble.h"
-#include "jemalloc/internal/jemalloc_internal_includes.h"
-
-/*
- * To avoid using floating point math down core paths (still necessary because
- * versions of the glibc dynamic loader that did not preserve xmm registers are
- * still somewhat common, requiring us to be compilable with -mno-sse), and also
- * to avoid generally expensive library calls, we use a precomputed table of
- * values. We want to sample U uniformly on [0, 1], and then compute
- * ceil(log(u)/log(1-1/nticks)). We're mostly interested in the case where
- * nticks is reasonably big, so 1/log(1-1/nticks) is well-approximated by
- * -nticks.
- *
- * To compute log(u), we sample an integer in [1, 64] and divide, then just look
- * up results in a table. As a space-compression mechanism, we store these as
- * uint8_t by dividing the range (255) by the highest-magnitude value the log
- * can take on, and using that as a multiplier. We then have to divide by that
- * multiplier at the end of the computation.
- *
- * The values here are computed in src/ticker.py
- */
-
-const uint8_t ticker_geom_table[1 << TICKER_GEOM_NBITS] = {
- 254, 211, 187, 169, 156, 144, 135, 127,
- 120, 113, 107, 102, 97, 93, 89, 85,
- 81, 77, 74, 71, 68, 65, 62, 60,
- 57, 55, 53, 50, 48, 46, 44, 42,
- 40, 39, 37, 35, 33, 32, 30, 29,
- 27, 26, 24, 23, 21, 20, 19, 18,
- 16, 15, 14, 13, 12, 10, 9, 8,
- 7, 6, 5, 4, 3, 2, 1, 0
-};