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gensim / corpora / _mmreader.pyx
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# Copyright (C) 2018 Radim Rehurek <radimrehurek@seznam.cz>
# cython: embedsignature=True

"""Reader for corpus in the Matrix Market format."""
import logging

cimport cython
from libc.stdio cimport sscanf

from gensim import utils

logger = logging.getLogger(__name__)


cdef class MmReader():
    """Matrix market file reader (fast Cython version), used internally in :class:`~gensim.corpora.mmcorpus.MmCorpus`.

    Wrap a term-document matrix on disk (in matrix-market format), and present it
    as an object which supports iteration over the rows (~documents).

    Attributes
    ----------
    num_docs : int
        Number of documents in the market matrix file.
    num_terms : int
        Number of terms.
    num_nnz : int
        Number of non-zero terms.

    Notes
    -----
    Note that the file is read into memory one document at a time, not the whole matrix at once
    (unlike e.g. `scipy.io.mmread` and other implementations).
    This allows us to process corpora which are larger than the available RAM.

    """
    cdef public input
    cdef public bint transposed
    cdef public long long num_docs, num_terms, num_nnz

    def __init__(self, input, transposed=True):
        """

        Parameters
        ----------
        input : {str, file-like object}
            Path to the input file in MM format or a file-like object that supports `seek()`
            (e.g. smart_open objects).

        transposed : bool, optional
            Do lines represent `doc_id, term_id, value`, instead of `term_id, doc_id, value`?

        """
        logger.info("initializing cython corpus reader from %s", input)
        self.input, self.transposed = input, transposed
        with utils.open_file(self.input) as lines:
            try:
                header = utils.to_unicode(next(lines)).strip()
                if not header.lower().startswith('%%matrixmarket matrix coordinate real general'):
                    raise ValueError(
                        "File %s not in Matrix Market format with coordinate real general; instead found: \n%s" %
                        (self.input, header)
                    )
            except StopIteration:
                pass

            self.num_docs = self.num_terms = self.num_nnz = 0
            for lineno, line in enumerate(lines):
                line = utils.to_unicode(line)
                if not line.startswith('%'):
                    self.num_docs, self.num_terms, self.num_nnz = (int(x) for x in line.split())
                    if not self.transposed:
                        self.num_docs, self.num_terms = self.num_terms, self.num_docs
                    break

        logger.info(
            "accepted corpus with %i documents, %i features, %i non-zero entries",
            self.num_docs, self.num_terms, self.num_nnz
        )

    def __len__(self):
        """Get the corpus size: total number of documents."""
        return self.num_docs

    def __str__(self):
        return ("MmCorpus(%i documents, %i features, %i non-zero entries)" %
                (self.num_docs, self.num_terms, self.num_nnz))

    def skip_headers(self, input_file):
        """Skip file headers that appear before the first document.

        Parameters
        ----------
        input_file : iterable of str
            Iterable taken from file in MM format.

        """
        for line in input_file:
            if line.startswith(b'%'):
                continue
            break

    def __iter__(self):
        """Iterate through all documents in the corpus.

        Notes
        ------
        Note that the total number of vectors returned is always equal to the number of rows specified
        in the header: empty documents are inserted and yielded where appropriate, even if they are not explicitly
        stored in the Matrix Market file.

        Yields
        ------
        (int, list of (int, number))
            Document id and document in sparse bag-of-words format.

        """
        cdef long long docid, termid, previd
        cdef double val = 0

        with utils.file_or_filename(self.input) as lines:
            self.skip_headers(lines)

            previd = -1
            for line in lines:

                if (sscanf(line, "%lld %lld %lg", &docid, &termid, &val) != 3):
                    raise ValueError("unable to parse line: {}".format(line))

                if not self.transposed:
                    termid, docid = docid, termid

                # -1 because matrix market indexes are 1-based => convert to 0-based
                docid -= 1
                termid -= 1

                assert previd <= docid, "matrix columns must come in ascending order"
                if docid != previd:
                    # change of document: return the document read so far (its id is prevId)
                    if previd >= 0:
                        yield previd, document  # noqa:F821

                    # return implicit (empty) documents between previous id and new id
                    # too, to keep consistent document numbering and corpus length
                    for previd in range(previd + 1, docid):
                        yield previd, []

                    # from now on start adding fields to a new document, with a new id
                    previd = docid
                    document = []

                document.append((termid, val,))  # add another field to the current document

        # handle the last document, as a special case
        if previd >= 0:
            yield previd, document

        # return empty documents between the last explicit document and the number
        # of documents as specified in the header
        for previd in range(previd + 1, self.num_docs):
            yield previd, []

    def docbyoffset(self, offset):
        """Get the document at file offset `offset` (in bytes).

        Parameters
        ----------
        offset : int
            File offset, in bytes, of the desired document.

        Returns
        ------
        list of (int, str)
            Document in sparse bag-of-words format.

        """
        # empty documents are not stored explicitly in MM format, so the index marks
        # them with a special offset, -1.
        cdef long long docid, termid, previd
        cdef double val

        if offset == -1:
            return []
        if isinstance(self.input, str):
            fin, close_fin = utils.open(self.input, 'rb'), True
        else:
            fin, close_fin = self.input, False

        fin.seek(offset)  # works for gzip/bz2 input, too
        previd, document = -1, []
        for line in fin:
            if (sscanf(line, "%lld %lld %lg", &docid, &termid, &val) != 3):
                raise ValueError("unable to parse line: {}".format(line))

            if not self.transposed:
                termid, docid = docid, termid

            # -1 because matrix market indexes are 1-based => convert to 0-based
            docid -= 1
            termid -= 1

            assert previd <= docid, "matrix columns must come in ascending order"
            if docid != previd:
                if previd >= 0:
                    break
                previd = docid

            document.append((termid, val,))  # add another field to the current document

        if close_fin:
            fin.close()
        return document