Fix Typos (#380)

FauziAkram · web-flow · commit 1c24fb2cadd1 · 2025-12-16T10:04:58.000+01:00
diff --git a/delete_bad_nets.py b/delete_bad_nets.py
@@ -148,7 +148,7 @@ def show_help():
     print("    - a/b/c/d.ckpt")
     print("    - *.nnue")
     print("  - ordo.out")
-    print("    (in this case ony lines with engine name matching")
+    print("    (in this case only lines with engine name matching")
     print('     "run_[01]/nn-epoch[0-9]*\\.nnue" will be used.)')
 
 
diff --git a/do_plots.py b/do_plots.py
@@ -113,7 +113,7 @@ def do_plots(out_filename, root_dirs, elo_range, loss_range, split):
     ax_train_loss.set_ylabel("train_loss")
 
     for user_root_dir in root_dirs:
-        # if asked to split we split the roto dir into a number of user root dirs,
+        # if asked to split we split the root dir into a number of user root dirs,
         # i.e. all direct subdirectories containing tfevent files.
         # we use the ordo file in the root dir, but split the content.
         split_root_dirs = [user_root_dir]
diff --git a/docs/nnue.md b/docs/nnue.md
@@ -293,7 +293,7 @@ Even though we observed that few inputs change from position to position we have
 
 For a single move, it's trivial to find which "A" features changed - we know what piece we're moving, from where, and where to. Captures and promotions can be considered as a piece disappearing or appearing from nowhere.
 
-However, care must taken when using floating point values. Repeatedly adding and subtracting floats results in error that accumulates with each move. It requires careful evaluation of whether the error is small enough for the net to still produce good results. Thankfully, it is best implemented such that the accumulator is not updated when undoing a move. Instead, it is simply stored on the search stack, so the error is bounded by `O(MAX_DEPTH)` and can mostly be ignored.
+However, care must be taken when using floating point values. Repeatedly adding and subtracting floats results in error that accumulates with each move. It requires careful evaluation of whether the error is small enough for the net to still produce good results. Thankfully, it is best implemented such that the accumulator is not updated when undoing a move. Instead, it is simply stored on the search stack, so the error is bounded by `O(MAX_DEPTH)` and can mostly be ignored.
 
 When using quantization this is no longer a problem, the incremental implementation is consistent, but now there is a possibility of overflowing the accumulator (regardless of whether incremental updates are used or not). The quantization scheme must be chosen such that no combination of possible active features can exceed the maximum value.
 
diff --git a/ftperm.py b/ftperm.py
@@ -1,6 +1,6 @@
 """
 
-NOTE: This script uses CUDA and may requires large amounts of VRAM. Decrease --count if encountering problems.
+NOTE: This script uses CUDA and may require large amounts of VRAM. Decrease --count if encountering problems.
 
 Example use:
 
diff --git a/lib/nnue_training_data_formats.h b/lib/nnue_training_data_formats.h
@@ -6610,11 +6610,11 @@ namespace binpack
 
                 // Write high bits of half move. This is a fix for the
                 // limited range of half move counter.
-                // This is backwards compatibile.
+                // This is backwards compatible.
                 stream.write_n_bit(pos.fullMove() >> 8, 8);
 
                 // Write the highest bit of rule50 at the end. This is a backwards
-                // compatibile fix for rule50 having only 6 bits stored.
+                // compatible fix for rule50 having only 6 bits stored.
                 // This bit is just ignored by the old parsers.
                 stream.write_n_bit(pos.rule50Counter() >> 6, 1);
 
@@ -6748,7 +6748,7 @@ namespace binpack
 
             // Fullmove number, high bits
             // This was added as a fix for fullmove clock
-            // overflowing at 256. This change is backwards compatibile.
+            // overflowing at 256. This change is backwards compatible.
             fullmove |= stream.read_n_bit(8) << 8;
 
             // Read the highest bit of rule50. This was added as a fix for rule50
diff --git a/run_games.py b/run_games.py
@@ -182,7 +182,7 @@ def run_match(
             f"option.EvalFile={evalfile}",
         ]
 
-    # Attempt to run the match multiple times in case of unforseen
+    # Attempt to run the match multiple times in case of unforeseen
     # errors like engine hanging or c-chess-cli having an error...
     for i in range(tries):
         print_atomic(" ".join(command))
@@ -279,7 +279,7 @@ def elo_error_95(self):
 
 def run_approximate_ordo(root_dir):
     """run an approximate ordo-like calculation on an existing pgn file"""
-    """ it takes advantege of the fact that all matches are ran against master """
+    """ it takes advantage of the fact that all matches are ran against master """
     pgn_file_name = os.path.join(root_dir, "out.pgn")
     ordo_file_name = os.path.join(root_dir, "ordo.out")
     ordo_file_name_temp = os.path.join(root_dir, "ordo_temp.out")
diff --git a/scripts/easy_train.py b/scripts/easy_train.py
@@ -1044,7 +1044,7 @@ def requests_get_content(url, *args, **kwargs):
 
 def get_zipfile_members_strip_common_prefix(zipfile):
     """
-    Removes a common previx from zipfile entries.
+    Removes a common prefix from zipfile entries.
     So for example will remove the top-level directory.
     """
     parts = []
@@ -1536,7 +1536,7 @@ def _update_results_from_ordo_file(self, ordo_file_path):
         try:
             with open(ordo_file_path, "r") as ordo_file:
                 lines = ordo_file.readlines()
-                # Pring the first few lines for the CLI interface.
+                # Print the first few lines for the CLI interface.
                 for line in lines[:7]:
                     LOGGER.info(line.strip())
                 for line in lines:
@@ -2719,7 +2719,7 @@ def main():
         )
     else:
         LOGGER.info(
-            "Not doing network testing. Either engines no provided or explicitely disabled."
+            "Not doing network testing. Either engines not provided or explicitly disabled."
         )
 
     nnue_pytorch_repo = "/".join(args.nnue_pytorch_branch.split("/")[:2])
diff --git a/training_data_loader.cpp b/training_data_loader.cpp
@@ -1147,7 +1147,7 @@ std::function<bool(const TrainingDataEntry&)> make_skip_predicate(DataloaderSkip
 
             auto do_filter = [&]() { return (e.isCapturingMove() || e.isInCheck()); };
 
-            // Allow for predermined filtering without the need to remove positions from the dataset.
+            // Allow for predetermined filtering without the need to remove positions from the dataset.
             if (e.score == VALUE_NONE)
                 return true;
 
@@ -1411,4 +1411,4 @@ int main(int argc, char** argv) {
     return 0;
 }
 
-#endif
+#endif
