fix(ingestion): Pad sparse matrices to correct dimensions #580
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This commit fixes a bug in `ingestion.py` where sparse matrices with null entries at the end were being read with incorrect dimensions. Previously, the `read_input_vectors` function would convert a sparse matrix to a dense matrix without accounting for trailing null columns. This could lead to a mismatch in dimensions later in the code, as a `10x100` sparse matrix might be read as a `10x90` dense matrix if its last 10 columns were empty. The fix adds a check to ensure the matrix is padded with zeros to the expected dimensions, preventing the dimension mismatch.
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This commit fixes a bug in
ingestion.pywhere sparse matrices with null entries at the end were being read with incorrect dimensions.Previously, the
read_input_vectorsfunction would convert a sparse matrix to a dense matrix without accounting for trailing null columns. This could lead to a mismatch in dimensions later in the code.For example, a sparse array whose schema specified a shape of
10x100might be read as a10x90dense matrix if its last 10 columns were empty.The fix adds a check to ensure the matrix is padded with zeros to the expected dimensions, preventing the dimension mismatch.