TD(lambda), and a big rework

NOTE: 6x6 weights are as-yet untrained

On the performance side:
* switch from linked-list chaining hash table to direct mapping
* cache check_win by hash
* persist transposition tables across plies (this was a big deal and difficult to puzzle out)
* add align directives to the network floats
* prepare_nn_input gained a small LUT to avoid branching (i suppose you might call this 1D embedding)
* apply mtune=native for the native builds

On the correctness side:
* Zobrist has now includes the ply parity
* the network now predicts something in [-1, 1] using tanh (approximated by polynomials)
* the training object is now MSE because we're learning a value estimate
* use .clangd instead of compile_commands.json

On the training side:
* completely forgo human-derived data set
* implement td(lambda), self-play, tournaments

2 files changed, 1 insertions, 69 deletions

diff --git a/resources/do_buildroot.sh b/resources/do_buildroot.sh
index 2df2e76..9933469 100755
--- a/resources/do_buildroot.sh
+++ b/resources/do_buildroot.sh
@@ -1,6 +1,6 @@
 #!/bin/sh
 
-# This file is part of ct1986
+# This file is part of ctak1986
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
diff --git a/resources/extract.sh b/resources/extract.sh
deleted file mode 100755
index 346547e..0000000
--- a/resources/extract.sh
+++ /dev/null
@@ -1,68 +0,0 @@
-#!/bin/bash
-
-db_file=games_anon.db
-
-#chosen_players="AaaarghBot Tiltak_Bot TakticianBot"
-chosen_players=""
-
-query() {
-    query="(size == $1) and (result != '1-0') and (result != '0-1') and (result != '0-0') and (result != '1/2-1/2')"
-    selct=""
-    for player in $chosen_players; do
-        selct="$selct(player_black = '$player') or (player_white = '$player') or "
-    done;
-    if [ -n "$selct" ]; then
-        query="$query and (${selct:0:-4})"
-    fi
-    echo "SELECT $2 FROM games WHERE $query;"
-}
-
-extract() {
-    size="$1"
-    things="$2"
-    if [ ! -f "data/$db_file" ]; then
-        wget "https://www.playtak.com/games_anon.db" -O "data/$db_file"
-    fi
-    echo Extracing games of size "$size" with query: "$(query $size $things)"
-    sqlite3 "data/$db_file" "$(query $size $things)" | shuf > "data/playtak-$size"
-}
-
-prepare() {
-    size=$1
-    ./pptdb "$size" "data/playtak-$size" > "data/check-$size"
-    tail -n22 "data/check-$size"
-    echo -ne "\tStripping overflows and illegal games... "
-    grep -Fvxf "data/check-$size" "data/playtak-$size" > "data/good-playtak-$size-all"
-    shuf "data/good-playtak-$size-all" > "data/good-playtak-$size"
-    rm "data/good-playtak-$size-all"
-
-    echo -en "Done.\n\tGenerating training data... "
-    ./pptdb "$size" "data/good-playtak-$size" generate
-}
-
-process() {
-    size=$1
-    num_t=$2
-    num_v=$3
-    total=$(( num_t + num_v ))
-
-    echo -en "\tChoosing $num_t + $num_v = $total of $(wc -l data/parsed-$size.csv | cut -d\  -f1) samples... "
-    shuf -n $total "data/parsed-$size.csv" > "data/shuf-$size.csv"
-    head -n $num_t "data/shuf-$size.csv" > "data/training-$size.csv"
-    tail -n $num_v "data/shuf-$size.csv" > "data/validation-$size.csv"
-
-    echo "Done. "
-}
-
-if [ ! -d data ]; then
-    mkdir data
-fi
-
-make pptdb
-
-for size in 5 6; do
-    echo
-    extract $size notation,result
-    prepare $size
-    process $size 1000000 20000
-done