bitsandbytes/research/autograd/_functions.py (5 lines):
	- line 73: # TODO: Fix blocksize to be output_dim
	- line 85: # not supported by PyTorch. TODO: create work-around
	- line 157: # TODO: Fix blocksize to be output_dim
	- line 169: # not supported by PyTorch. TODO: create work-around
	- line 187: # TODO: the B008 on the line below is a likely bug; the current implementation will


pyproject.toml (4 lines):
	- line 25: "B007",  # Loop control variable not used within the loop body (TODO: enable)
	- line 26: "B028",  # Warning without stacklevel (TODO: enable)
	- line 28: "E701",  # Multiple statements on one line (TODO: enable)
	- line 31: "F841",  # Local assigned but not used (TODO: enable, these are likely bugs)


include/BinAlgo.h (2 lines):
	- line 49: // FIXME: use SSE2?
	- line 61: // FIXME: merge these two loops


benchmarking/switchback/make_plot_with_jsonl.py (1 line):
	- line 19: # TODO: change this to what you want.


bitsandbytes/diagnostics/cuda.py (1 line):
	- line 147: # TODO:


bitsandbytes/cextension.py (1 line):
	- line 4: [ ] TODO: Q - What if we have multiple GPUs of different makes?


_typos.toml (1 line):
	- line 11: "transation" = "transation"  # TODO: is this transition, transaction, translation..?


bitsandbytes/triton/quantize_columnwise_and_transpose.py (1 line):
	- line 17: # TODO: autotune this better.


benchmarking/switchback/speed_benchmark.py (1 line):
	- line 158: # TODO: change this to what you want.


bitsandbytes/triton/dequantize_rowwise.py (1 line):
	- line 17: # TODO: autotune this better.


bitsandbytes/triton/quantize_rowwise.py (1 line):
	- line 17: # TODO: autotune this better.


bitsandbytes/autograd/_functions.py (1 line):
	- line 537: # not supported by PyTorch. TODO: create work-around


bitsandbytes/nn/modules.py (1 line):
	- line 405: # self.persistent_buffers = []  # TODO consider as way to save quant state