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Dataset abstractions for sequential data access.
WARNING: Do not edit .pyx file directly, it is generated from .pyx.tp
SequentialDataset64SequentialDataset32cline_in_traceback__setstate_cython__sample_weightsArrayDataset64ArrayDataset32__reduce_cython__CSRDataset64CSRDataset32ImportError__pyx_vtable__ValueError_sample_py__reduce_ex__X_indicesTypeErrorMore than __setstate__itemsize__getstate__X_indptrfloat64float32asarray__reduce____import__arangeX_datarangenumpyint32emptydtype__test__seed__name____main__intcnp)., dYXBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectInterpreter change detected - this module can only be loaded into one interpreter per process.%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'Unexpected format string character: '%c'Argument '%.200s' has incorrect type (expected %.200s, got %.200s)Unable to initialize pickling for %sjoin() result is too long for a Python string__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s) while calling a Python objectNULL result without error in PyObject_Callcalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseException_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimeModule '_seq_dataset' has already been imported. Re-initialisation is not supported.compiletime version %s of module '%.100s' does not match runtime version %s%.200s does not export expected C variable %.200s__pyx_t_7sklearn_5utils_7_random_UINT32_tC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)sklearn/utils/_seq_dataset.pyxinit sklearn.utils._seq_datasetsklearn.utils._seq_dataset.CSRDataset32.__setstate_cython__sklearn.utils._seq_dataset.CSRDataset32.__reduce_cython__sklearn.utils._seq_dataset.ArrayDataset32.__setstate_cython__sklearn.utils._seq_dataset.ArrayDataset32.__reduce_cython__sklearn.utils._seq_dataset.SequentialDataset32.__setstate_cython__sklearn.utils._seq_dataset.SequentialDataset32.__reduce_cython__sklearn.utils._seq_dataset.CSRDataset64.__setstate_cython__sklearn.utils._seq_dataset.CSRDataset64.__reduce_cython__sklearn.utils._seq_dataset.ArrayDataset64.__setstate_cython__sklearn.utils._seq_dataset.ArrayDataset64.__reduce_cython__sklearn.utils._seq_dataset.SequentialDataset64.__setstate_cython__sklearn.utils._seq_dataset.SequentialDataset64.__reduce_cython__can't convert negative value to npy_uint32value too large to convert to npy_uint32value too large to convert to intsklearn.utils._seq_dataset.SequentialDataset32._shuffle_pysklearn.utils._seq_dataset.SequentialDataset64._shuffle_pysklearn.utils._seq_dataset.SequentialDataset64._random_pysklearn.utils._seq_dataset.SequentialDataset32._random_pysklearn.utils._seq_dataset.SequentialDataset32._next_pysklearn.utils._seq_dataset.SequentialDataset64._next_pyExpected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Buffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)Cannot convert %.200s to %.200ssklearn.utils._seq_dataset.CSRDataset64.__cinit__sklearn.utils._seq_dataset.CSRDataset32.__cinit__%.200s() takes %.8s %zd positional argument%.1s (%zd given)sklearn.utils._seq_dataset.SequentialDataset64._sample_pysklearn.utils._seq_dataset.ArrayDataset32.__cinit__sklearn.utils._seq_dataset.ArrayDataset64.__cinit__sklearn.utils._seq_dataset.SequentialDataset32._sample_pysklearn.utils._seq_dataset.CSRDataset32A ``SequentialDataset`` backed by a scipy sparse CSR matrix. sklearn.utils._seq_dataset.ArrayDataset32Dataset backed by a two-dimensional numpy array.

    The dtype of the numpy array is expected to be ``np.float32`` (float)
    and C-style memory layout.
    sklearn.utils._seq_dataset.SequentialDataset32Base class for datasets with sequential data access.

    SequentialDataset is used to iterate over the rows of a matrix X and
    corresponding target values y, i.e. to iterate over samples.
    There are two methods to get the next sample:
        - next : Iterate sequentially (optionally randomized)
        - random : Iterate randomly (with replacement)

    Attributes
    ----------
    index : np.ndarray
        Index array for fast shuffling.

    index_data_ptr : int
        Pointer to the index array.

    current_index : int
        Index of current sample in ``index``.
        The index of current sample in the data is given by
        index_data_ptr[current_index].

    n_samples : Py_ssize_t
        Number of samples in the dataset.

    seed : cnp.uint32_t
        Seed used for random sampling. This attribute is modified at each call to the
        `random` method.
    sklearn.utils._seq_dataset.CSRDataset64sklearn.utils._seq_dataset.ArrayDataset64Dataset backed by a two-dimensional numpy array.

    The dtype of the numpy array is expected to be ``np.float64`` (double)
    and C-style memory layout.
    sklearn.utils._seq_dataset.SequentialDataset64
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